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	<id>https://docs.analytica.com/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Karenlee</id>
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	<updated>2026-05-23T03:02:40Z</updated>
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	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=46102</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=46102"/>
		<updated>2016-05-05T20:38:23Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* ACP Summary */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ACP Summary===&lt;br /&gt;
*[[Analytica Cloud Player]] &lt;br /&gt;
**General about ACP, how to use ACP&lt;br /&gt;
**Table of diff account types&lt;br /&gt;
**Description of sessions&lt;br /&gt;
**Short summary of group plans/license server&lt;br /&gt;
**summary of Security&lt;br /&gt;
* [[ACP Group Accounts]] &lt;br /&gt;
**User types table&lt;br /&gt;
**Public vs private models&lt;br /&gt;
**Managing User&lt;br /&gt;
**Adding/deleting models&lt;br /&gt;
**Changing the logo&lt;br /&gt;
* [[ACP Server License]]&lt;br /&gt;
**Server requirements&lt;br /&gt;
**summary server architecture&lt;br /&gt;
**how to set up security&lt;br /&gt;
**how to install&lt;br /&gt;
*[[ACP Style Library]] - summary of actual Style Library UI/features&lt;br /&gt;
*[[CloudPlayerStyles Attribute Values]] - summary + all (?) individual CPS&lt;br /&gt;
*[[ACP Diagram Sizes]] - recommended sizes, details on how to set it using Typescript&lt;br /&gt;
*[[ACP Rendering tables and graphs on the diagram]] - frame nodes summary, relevant CPS, tall nodes&lt;br /&gt;
*[[Save Snapshots in ACP]] - basic how-to&lt;br /&gt;
* [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
**browse mode vs ACP, UI differences, note about linked modules/libraries&lt;br /&gt;
**features available in ACP but not DTA and vice versa&lt;br /&gt;
* [[What's new in ACP?]] - list of all new features in ACP from 3.0 &lt;br /&gt;
* [[Special ACP features]] - URL encoding, Javascript in ACP&lt;br /&gt;
**[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* [[Transferring Data Between ACP and Desktop Analytica]] - copy+paste tables, database&lt;br /&gt;
* [[Spreadsheets in ACP]] - reading, writing, downloading spreadsheets&lt;br /&gt;
* [[Embed an ACP model in a Web Page]] - Frames/iFrames, Javascript&lt;br /&gt;
**[[Putting ACP in a Web Page]] - Frames/Javascript&lt;br /&gt;
**[[Embedding an ACP model in a Web Page]] - Flash&lt;br /&gt;
*[[ACP miscellaneous]] - passwords, text nodes, show definition&lt;br /&gt;
* [[Future ACP Features]] - list of features but outdated (many have already been implemented)&lt;br /&gt;
*[[Analytica Tablet]]&lt;br /&gt;
*[[ACP Error Messages]] - mostly empty &lt;br /&gt;
*[[The ACP Diagram]] - how to show ACP current user&lt;br /&gt;
&lt;br /&gt;
===ACP Outline===&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]] (this goes over the UI -- maybe merge with how to use ACP?)&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
* Using ACP&lt;br /&gt;
**[[ACP Style Library]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***[[ACP Diagram Sizes]]&lt;br /&gt;
***How-to Frame nodes:&lt;br /&gt;
****[[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
****[[AWP Rendering tables and graphs on the diagram 2]]  - tall nodes, awp_attrib&lt;br /&gt;
**ACP UI: Managing users, saving snapshots, uploading models&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
** [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
** [[What's new in ACP?]]&lt;br /&gt;
** Maybe some page combining very specific features? Some seem a bit esoteric&lt;br /&gt;
*** [[Special ACP features]] -- just Javascript&lt;br /&gt;
*** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
***[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* How-to:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]] + [[Putting ACP in a Web Page]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Things that are Outdated/can be deleted/combined with other pages?&lt;br /&gt;
*Removed/combined with other pages&lt;br /&gt;
**[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
***[[Ana:AWP Business Model and Release Plans]]&lt;br /&gt;
***[[Ana:AWP Specs and Docs]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=46101</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=46101"/>
		<updated>2016-05-05T01:07:42Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: updated ACP pages summary&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ACP Summary===&lt;br /&gt;
*[[Analytica Cloud Player]] &lt;br /&gt;
**General about ACP, how to use ACP&lt;br /&gt;
**Table of diff account types&lt;br /&gt;
**Description of sessions&lt;br /&gt;
**Short summary of group plans/license server&lt;br /&gt;
**summary of Security&lt;br /&gt;
* [[ACP Group Accounts]] &lt;br /&gt;
**User types table&lt;br /&gt;
**Public vs private models&lt;br /&gt;
**Managing User&lt;br /&gt;
**Adding/deleting models&lt;br /&gt;
**Changing the logo&lt;br /&gt;
* [[ACP Server License]]&lt;br /&gt;
**Server requirements&lt;br /&gt;
**summary server architecture&lt;br /&gt;
**how to set up security&lt;br /&gt;
**how to install&lt;br /&gt;
*[[ACP Style Library]] - summary of actual Style Library UI/features&lt;br /&gt;
*[[CloudPlayerStyles Attribute Values]] - summary + all (?) individual CPS&lt;br /&gt;
*[[ACP Diagram Sizes]] - recommended sizes, details on how to set it using Typescript&lt;br /&gt;
*[[ACP Rendering tables and graphs on the diagram]] - frame nodes summary, relevant CPS, tall nodes&lt;br /&gt;
*[[Save Snapshots in ACP]] - basic how-to&lt;br /&gt;
* [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
**browse mode vs ACP, UI differences, note about linked modules/libraries&lt;br /&gt;
**features available in ACP but not DTA and vice versa&lt;br /&gt;
* [[What's new in ACP?]] - list of all new features in ACP from 3.0 &lt;br /&gt;
* [[Special ACP features]] - URL encoding, Javascript in ACP&lt;br /&gt;
**[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* [[Transferring Data Between ACP and Desktop Analytica]] - copy+paste tables, database&lt;br /&gt;
* [[Spreadsheets in ACP]] - reading, writing, downloading spreadsheets&lt;br /&gt;
* [[Embed an ACP model in a Web Page]] - Frames/iFrames, Javascript&lt;br /&gt;
**[[Putting ACP in a Web Page]] - Frames/Javascript&lt;br /&gt;
**[[Embedding an ACP model in a Web Page]] - Flash&lt;br /&gt;
*[[ACP miscellaneous]] - passwords, text nodes, show definition&lt;br /&gt;
* [[Future ACP Features]] - list of features but outdated (many have already been implemented)&lt;br /&gt;
*[[Analytica Tablet]]&lt;br /&gt;
*[[ACP Error Messages]] - mostly empty &lt;br /&gt;
*[[The ACP Diagram]] - ACP current user&lt;br /&gt;
&lt;br /&gt;
===ACP Outline===&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]] (this goes over the UI -- maybe merge with how to use ACP?)&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
* Using ACP&lt;br /&gt;
**[[ACP Style Library]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***[[ACP Diagram Sizes]]&lt;br /&gt;
***How-to Frame nodes:&lt;br /&gt;
****[[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
****[[AWP Rendering tables and graphs on the diagram 2]]  - tall nodes, awp_attrib&lt;br /&gt;
**ACP UI: Managing users, saving snapshots, uploading models&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
** [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
** [[What's new in ACP?]]&lt;br /&gt;
** Maybe some page combining very specific features? Some seem a bit esoteric&lt;br /&gt;
*** [[Special ACP features]] -- just Javascript&lt;br /&gt;
*** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
***[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* How-to:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]] + [[Putting ACP in a Web Page]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Things that are Outdated/can be deleted/combined with other pages?&lt;br /&gt;
*Removed/combined with other pages&lt;br /&gt;
**[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
***[[Ana:AWP Business Model and Release Plans]]&lt;br /&gt;
***[[Ana:AWP Specs and Docs]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=46100</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=46100"/>
		<updated>2016-05-05T00:26:29Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ACP Summary===&lt;br /&gt;
*[[Analytica Cloud Player]] &lt;br /&gt;
**General about ACP, how to use ACP&lt;br /&gt;
**Table of diff account types&lt;br /&gt;
**Description of sessions&lt;br /&gt;
**Short summary of group plans/license server&lt;br /&gt;
**summary of Security&lt;br /&gt;
* [[ACP Group Accounts]] &lt;br /&gt;
**User types table&lt;br /&gt;
**Public vs private models&lt;br /&gt;
**Managing User&lt;br /&gt;
**Adding/deleting models&lt;br /&gt;
**Changing the logo&lt;br /&gt;
* [[ACP Server License]]&lt;br /&gt;
**Server requirements&lt;br /&gt;
**summary server architecture&lt;br /&gt;
**how to set up security&lt;br /&gt;
**how to install&lt;br /&gt;
*[[ACP Style Library]] - summary of actual Style Library UI/features&lt;br /&gt;
*[[CloudPlayerStyles Attribute Values]] - summary + all (?) individual CPS&lt;br /&gt;
*[[ACP Diagram Sizes]] - recommended sizes, details on how to set it using Typescript&lt;br /&gt;
*[[ACP Rendering tables and graphs on the diagram]] - frame nodes summary, relevant CPS, tall nodes&lt;br /&gt;
*[[Save Snapshots in ACP]] - basic how-to&lt;br /&gt;
* [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
**browse mode vs ACP, UI differences, note about linked modules/libraries&lt;br /&gt;
**features available in ACP but not DTA and vice versa&lt;br /&gt;
* [[What's new in ACP?]] -- list of all new features in ACP from 3.0 &lt;br /&gt;
&lt;br /&gt;
===ACP Outline===&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]] (this goes over the UI -- maybe merge with how to use ACP?)&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
* Using ACP&lt;br /&gt;
**[[ACP Style Library]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***[[ACP Diagram Sizes]]&lt;br /&gt;
***How-to Frame nodes:&lt;br /&gt;
****[[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
****[[AWP Rendering tables and graphs on the diagram 2]]  - tall nodes, awp_attrib&lt;br /&gt;
**ACP UI: Managing users, saving snapshots, uploading models&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
** [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
** [[What's new in ACP?]]&lt;br /&gt;
** Maybe some page combining very specific features? Some seem a bit esoteric&lt;br /&gt;
*** [[Special ACP features]] -- just Javascript&lt;br /&gt;
*** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
***[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* How-to:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]] + [[Putting ACP in a Web Page]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Things that are Outdated/can be deleted/combined with other pages?&lt;br /&gt;
*Removed/combined with other pages&lt;br /&gt;
**[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
***[[Ana:AWP Business Model and Release Plans]]&lt;br /&gt;
***[[Ana:AWP Specs and Docs]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=45391</id>
		<title>ACP Group Plans</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=45391"/>
		<updated>2016-04-13T16:17:10Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* Add a custom logo */  added dimensions&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
[[Analytica_Cloud_Player#See_also|&amp;lt;&amp;lt;Back to Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
An ACP Group Account lets multiple users collaborate and share Analytica models with each other and deploy models to end users as web applications.&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This article explains some of the features of the [[Analytica Cloud Player]] (ACP) Group account.&lt;br /&gt;
&lt;br /&gt;
==The ACP Group Account UI==&lt;br /&gt;
&lt;br /&gt;
=== User Types ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Privileges&lt;br /&gt;
!Manager&lt;br /&gt;
!Author&lt;br /&gt;
!Reviewer&lt;br /&gt;
|-&lt;br /&gt;
|Run models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Save snapshots&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Upload &amp;amp; download spreadsheets&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Upload &amp;amp; download models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Delete models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Send email invites&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Manage users&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|View subscription info&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Ability to switch &amp;quot;Access&amp;quot; to models.===&lt;br /&gt;
&lt;br /&gt;
The &amp;quot;Access&amp;quot; column in the model's listing is now a pulldown menu so users can toggle the privacy setting {&amp;quot;Private&amp;quot; or &amp;quot;Public&amp;quot;).&lt;br /&gt;
&lt;br /&gt;
By default, when an author or manager uploads a model into an ACP Group Account, that model is accessible by all members of that project i.e. it is &amp;quot;public&amp;quot;. And in the models listing table, the column &amp;quot;Access&amp;quot; displays the text &amp;quot;public&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
By default, when a project member saves changed inputs to a model i.e. makes a snapshot, that snapshot is &amp;quot;private&amp;quot;. In the models listing, the model is only listed for that user who saved the changes, and the access column of that table has text &amp;quot;private&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
:[[File:Access 01.png]]&lt;br /&gt;
&lt;br /&gt;
==Group Account's Users Tab==&lt;br /&gt;
===Adding New Users===&lt;br /&gt;
&lt;br /&gt;
A manager can add a new user to a Group account. Authors and reviewers cannot see the Users tab.&lt;br /&gt;
*Open the 'Users' tab.&lt;br /&gt;
*Press the [Add User] Button at the bottom of the Users list.&lt;br /&gt;
&lt;br /&gt;
The process should be self explanatory...&lt;br /&gt;
*Enter the email address(es) of the new user.&lt;br /&gt;
*Select the User privileges either Manager, Reviewer or Author.&lt;br /&gt;
&lt;br /&gt;
{Optional: You can edit the email sent.}&lt;br /&gt;
&lt;br /&gt;
*Press the Invite and add Users button.&lt;br /&gt;
&lt;br /&gt;
*A new user for a Group account {who has no ACP password yet} receives a randomized password in the initial invite email to ACP. They will be prompted to change passwords the first time they sign in to the group account. &lt;br /&gt;
:*A user can have only one ACP password at a time. A new group account user with an existing ACP password {i.e. his individual account} will be instructed to use his current ACP password.&lt;br /&gt;
*The Group account manager (the one who sends the invite) is cc'ed when he sends a new user invite to  confirm that the invite email went out.&lt;br /&gt;
&lt;br /&gt;
===Manage users in a Group account===&lt;br /&gt;
&lt;br /&gt;
:*The 'User Type for Project' pulldown menu shows the user roles for a particular project, [Not a member, Manager, Author, Reviewer].  &lt;br /&gt;
:*'''If the user signed in is an Account Admin''', then this pull down now contains an additional menu item [Delete User].{The Account Admin is currently the person who requested the Group Account i.e. the first user in the list.)&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete user 01.PNG]]&lt;br /&gt;
&lt;br /&gt;
==Group Account - Add and delete Projects== &lt;br /&gt;
Any Manager can add a project. The Account Admin can delete projects. (The Account Admin is the user who signed up for the account i.e the first user in the list.) &lt;br /&gt;
&lt;br /&gt;
Note: The 'Home' project can't be deleted).&lt;br /&gt;
&lt;br /&gt;
If you are a manager, next to the Project pulldown menu there is a + button ( '+/-' buttons should be present if you are the account admin). Select '+' to add a project, then enter the project name into the field provided. Select ' - ' to permanently delete a project.&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete projects ACP 02.PNG]]&lt;br /&gt;
&lt;br /&gt;
==Add a custom logo==&lt;br /&gt;
In an ACP Group account, you can change the logo displayed at the top left of your model.&lt;br /&gt;
&lt;br /&gt;
*Prepare an image file to use as the logo for your model. You can use png or jpg.&lt;br /&gt;
*Open the model in the ACP Group account.&lt;br /&gt;
*Right - click the Lumina logo at the top left. &lt;br /&gt;
&lt;br /&gt;
[[File:Right click lumina logo.png]]&lt;br /&gt;
&lt;br /&gt;
*Select Change image from the right - click menu.&lt;br /&gt;
(Opens a window prompting you to open an image file.)&lt;br /&gt;
&lt;br /&gt;
*Then navigate to the image you want to use as the logo for this model and open it,&lt;br /&gt;
&lt;br /&gt;
[[File:Select image.png]]&lt;br /&gt;
&lt;br /&gt;
That's it - the image you selected will replace the Lumina logo in this model. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;tip title=&amp;quot;Note&amp;quot;&amp;gt;If the image is larger than the space allotted on the ACP canvas, it will be resized to fit, so you may need to tweak the image dimensions to make it look the way you want it. The recommended size is 125 x 63 pixels.&amp;lt;/tip&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[Analytica Cloud Player]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Analytica_Cloud_Platform&amp;diff=45249</id>
		<title>Analytica Cloud Platform</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Analytica_Cloud_Platform&amp;diff=45249"/>
		<updated>2016-04-07T20:21:27Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: added link to acp group accounts&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
The '''Analytica Cloud Player''' (ACP) lets you view, run, and share Analytica models via a web browser. When running Analytica on the desktop, you can upload the model to an ACP server by selecting '''Publish to Cloud...''' from the '''File''' menu.  This page explains the advantages of ACP, how to use ACP, the different ACP subscriptions, with links to subpages with more detail.&lt;br /&gt;
&lt;br /&gt;
==Advantages of ACP==&lt;br /&gt;
&lt;br /&gt;
* ACP lets people view and run Analytica models as a web application. &lt;br /&gt;
* ACP users don’t need to install any software. They just need a web browser. &lt;br /&gt;
* ACP is similar to Analytica in browse mode. It lets you view and run models, and change inputs, but it doesn’t let you edit model expressions or add variables. &lt;br /&gt;
* You can be sure that all users of your model via ACP have the latest version of a model and its data -- not so easy if you are distributing a model to end users to run with desktop Analytica.&lt;br /&gt;
*ACP offers some user-interface and navigation styles not available in Analytica to help you can adapt your model’s user interface for convenient use on the web: &lt;br /&gt;
**Tab-based navigation: Top level modules become tabs&lt;br /&gt;
** You can [[ACP Rendering tables and graphs on the diagram | embed tables and graphs]] in a diagram using Frames.&lt;br /&gt;
** You can easily select user-interface options using the [[ACP Style Library]].&lt;br /&gt;
&lt;br /&gt;
===How do you use ACP?===&lt;br /&gt;
*You can upload your model to ACP immediately from inside Analytica. Just select '''Publish to Cloud''' from the '''File''' menu.&lt;br /&gt;
*The first time, it will prompt you to start up an ACP account.&lt;br /&gt;
*It gives you a directory for managing, starting, sharing, and downloading your models in ACP.&lt;br /&gt;
*Once you have set up your ACP account, you can [https://www.analyticacloud.com/acp/Client/AnalyticaCloudPlayer.aspx log in to ACP] to access your account from a web browser.&lt;br /&gt;
*You can also upload your model to ACP from the web browser. Log in to ACP from a browser and click the '''Upload''' button at the bottom of the model directory. It will prompt you for a model to upload from your computer.&lt;br /&gt;
*You can email anyone a link to your ACP model, or embed the link in a web page. With this link, a user can review model, change inputs, and view outputs, but not save changes. Just log in to ACP from a browser and press the '''Invite''' button at the bottom of the model directory to generate an Invite email. The link shown in the email can be used to access the model as a guest.&lt;br /&gt;
&lt;br /&gt;
Learn how to use Analytica Cloud Player, for better collaboration and productivity in the recorded [https://youtu.be/OH3mYa_m0xE Analytica Cloud Player (ACP) Webinar]&lt;br /&gt;
&lt;br /&gt;
== Features by ACP subscription type ==&lt;br /&gt;
:{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
!&lt;br /&gt;
! Individual Account with Free 101&lt;br /&gt;
or without Analytica Support&lt;br /&gt;
! Individual Account with &lt;br /&gt;
Analytica Support&lt;br /&gt;
! Basic Group Account&lt;br /&gt;
! Premium Group Account&lt;br /&gt;
! ACP Server License&lt;br /&gt;
|-&lt;br /&gt;
| Publish Models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Email Invites &amp;amp; Anonymous Views&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Named Users &amp;amp; Roles&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Access Control&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Save Snapshots&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Shared Project Folders&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Customizable Logo&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Sessions&lt;br /&gt;
| 25 total&lt;br /&gt;
| 25 / month&lt;br /&gt;
| 500 / month&lt;br /&gt;
| 1200 / month&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Maximum Number of Users&lt;br /&gt;
| 1&lt;br /&gt;
| 1&lt;br /&gt;
| 10&lt;br /&gt;
| 25&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Additional Sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Maximum File Size&lt;br /&gt;
| 25 MB&lt;br /&gt;
| 25 MB&lt;br /&gt;
| 50MB&lt;br /&gt;
| 200MB&lt;br /&gt;
| 200 MB&lt;br /&gt;
|-&lt;br /&gt;
| CPU minutes per calculation&lt;br /&gt;
| 1 minute&lt;br /&gt;
| 1 minute&lt;br /&gt;
| 2 minutes&lt;br /&gt;
| 5 minutes&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Optimizer&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt; &lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt; &lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
| Available add-on&lt;br /&gt;
|-&lt;br /&gt;
| Price&lt;br /&gt;
| Free&lt;br /&gt;
| Free, included &lt;br /&gt;
with support&lt;br /&gt;
| $250/month or&lt;br /&gt;
$2,000/year&lt;br /&gt;
| $5,000/year&lt;br /&gt;
| Call (+1) 650-212-1212 or Sales@Lumina.com&lt;br /&gt;
|}&lt;br /&gt;
*A '''''session''''' is one or model runs between log ins.&lt;br /&gt;
**A session starts when you first run a model after logging into ACP. &lt;br /&gt;
**A session ends after a run of 20 minutes of inactivity, when switching to a different browser is used, or when you log out.&lt;br /&gt;
**Viewing model listings does not use a session.&lt;br /&gt;
*If you need '''extra sessions''' you can [https://www.lumina.com/shoppingcart/acpcredits/ Buy ACP Session Credits] at at $25 per 25 sessions.&lt;br /&gt;
*You can buy a Basic Group Plan at [http://www.lumina.com/shoppingcart/acpgrouplan/ Buy/Renew ACP Group Plan]. To buy a Premium Group Plan, call (+1) 650-212-1212 or [mailto:sales@lumina.com sales@lumina.com].&lt;br /&gt;
*The initial 25 sessions for an Individual Account without support never expire. Monthly sessions expire after one month.&lt;br /&gt;
*'''Maximum model file size''' is 25MB for individual accounts, 50MB for the Basic Group Plan, and 200MB for the Premium Group Plan or ACP Server License.&lt;br /&gt;
*'''''CPU Minutes per calculation: ''' ''For large calculations (e.g. when you click a variable to display), ACP will time out after 1 minute of CPU time for Individual Accounts, 2 minutes for the Basic Group Plan, 5 minutes for the Premium Group Plan, and no limit for ACP on your server. The server is shared, so 2 CPU minutes may take quite a bit more than 2 actual minutes.&lt;br /&gt;
&lt;br /&gt;
===A Basic or Premium Group Plan===&lt;br /&gt;
''See also [[ACP Group Accounts]].''&lt;br /&gt;
&lt;br /&gt;
*Multiple users can collaborate on a Group plan.&lt;br /&gt;
*Each user has their own account and password.&lt;br /&gt;
*Users can be Reviewers (run and read only), Authors (can also upload and delete models), or Administrators (can also set up people as Reviewers and Authors).&lt;br /&gt;
*A group plan can have multiple Projects containing a directory of models.&lt;br /&gt;
*Each user can be a member of selected Projects. You can’t see models in a Project unless you are member.&lt;br /&gt;
*[http://lumina.com Lumina] logo at upper left corner of ACP window can be changed to your organization's logo.&lt;br /&gt;
&lt;br /&gt;
===ACP Server Licenser===&lt;br /&gt;
You may purchase an ACP license to install [[ACP Server License|on your own server]]. This lets your users run more or larger models without having to share server resources with other customers. It also lets you access it via a corporate intranet and apply extra security for confidential or proprietary models and data. See [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
==Security==&lt;br /&gt;
Analytica Cloud Player is a secure way to share models:&lt;br /&gt;
*ACP uses a https for data transfer&lt;br /&gt;
*Data input is not saved unless the user explicitly saves a snapshot of the model&lt;br /&gt;
*Snapshots are private by default (although the user can change them to public)&lt;br /&gt;
*When a model is uploaded or saved, it can be encrypted using the &amp;quot;lock and encrypt model feature&amp;quot;&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
&amp;lt;div style=&amp;quot;column-count:2;-moz-column-count:2;-webkit-column-count:2&amp;quot;&amp;gt;&lt;br /&gt;
* [[Editions of Analytica]]&lt;br /&gt;
* [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
* [https://youtu.be/OH3mYa_m0xE Analytica Cloud Player (ACP) Webinar]&lt;br /&gt;
* [[ACP Server License]]&lt;br /&gt;
*[[Analytica Tablet|Analytica Tablet - ACP on an Ipad]]&lt;br /&gt;
* [[ACP Style Library]]&lt;br /&gt;
* [[CloudPlayerStyles Attribute Values]]&lt;br /&gt;
* [[ACP miscellaneous | ACP: Explanation of some features not mentioned elsewhere]]&lt;br /&gt;
* [[ACP Group Accounts | Miscellaneous ACP Group account features]]&lt;br /&gt;
* [[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
*[[ACP Diagram Sizes]]&lt;br /&gt;
&amp;lt;!--[[Embedding an ACP model in a Web Page]]--&amp;gt;&lt;br /&gt;
* [[Embed an ACP model in a Web Page]]&lt;br /&gt;
* [[Embedding an ACP model in a Web Page]]&lt;br /&gt;
&amp;lt;!--[[Putting ACP in a Web Page]]--&amp;gt;&lt;br /&gt;
* [[Save Snapshots in ACP]]&lt;br /&gt;
* [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
*[[Spreadsheets in ACP]]&lt;br /&gt;
* [[What's new in ACP?]]&lt;br /&gt;
* [[Special ACP features]]&lt;br /&gt;
* [[Future ACP Features]]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
* Example models:&lt;br /&gt;
** [https://www.analyticacloud.com/acp/Client/AcpClient.aspx?inviteId=3&amp;amp;inviteCode=221703&amp;amp;subName=acp%20demos Play the Rent vs. Buy model in ACP.]  The Rent vs. Buy model is an example model used in the Analytica Tutorial. It compares the Net Present Value of renting vs. buying a house.  Model navigation is fairly intuitive. You can switch diagrams by clicking on modules or selecting different modules in the outline tree located on the left side of the diagram. Clicking on a variable displays its result graph or table. Move the mouse over a node to see its description. Right click on a node and select 'Object view' from the popup menu to view the node's attributes in the object tab, notably its definition.&lt;br /&gt;
** [https://www.analyticacloud.com/acp/Client/AcpClient.aspx?inviteId=5&amp;amp;inviteCode=730213&amp;amp;subName=acp%20demos Play the Foxes and Hares model in ACP.]  The Foxes and Hares model is a predator-prey example model also used in the Tutorial. When playing this model ACP adds beveled gradients and drop shadows to nodes on the influence diagram. Also, the default tabbed UI has been removed. You can see node descriptions and definitions when you move the cursor over a node. It displays model results directly on the diagram.&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44967</id>
		<title>ACP Group Plans</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44967"/>
		<updated>2016-03-30T22:47:09Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* The ACP Group Account UI */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
[[Analytica_Cloud_Player#See_also|&amp;lt;&amp;lt;Back to Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
An ACP Group Account lets multiple users collaborate and share Analytica models with each other and deploy models to end users as web applications.&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This article explains some of the features of the [[Analytica Cloud Player]] (ACP) Group account.&lt;br /&gt;
&lt;br /&gt;
==The ACP Group Account UI==&lt;br /&gt;
&lt;br /&gt;
=== User Types ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Privileges&lt;br /&gt;
!Manager&lt;br /&gt;
!Author&lt;br /&gt;
!Reviewer&lt;br /&gt;
|-&lt;br /&gt;
|Run models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Save snapshots&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Upload &amp;amp; download spreadsheets&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Upload &amp;amp; download models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Delete models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Send email invites&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Manage users&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|View subscription info&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Ability to switch &amp;quot;Access&amp;quot; to models.===&lt;br /&gt;
&lt;br /&gt;
The &amp;quot;Access&amp;quot; column in the model's listing is now a pulldown menu so users can toggle the privacy setting {&amp;quot;Private&amp;quot; or &amp;quot;Public&amp;quot;).&lt;br /&gt;
&lt;br /&gt;
By default, when an author or manager uploads a model into an ACP Group Account, that model is accessible by all members of that project i.e. it is &amp;quot;public&amp;quot;. And in the models listing table, the column &amp;quot;Access&amp;quot; displays the text &amp;quot;public&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
By default, when a project member saves changed inputs to a model i.e. makes a snapshot, that snapshot is &amp;quot;private&amp;quot;. In the models listing, the model is only listed for that user who saved the changes, and the access column of that table has text &amp;quot;private&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
:[[File:Access 01.png]]&lt;br /&gt;
&lt;br /&gt;
==Group Account's Users Tab==&lt;br /&gt;
===Adding New Users===&lt;br /&gt;
&lt;br /&gt;
A manager can add a new user to a Group account. Authors and reviewers cannot see the Users tab.&lt;br /&gt;
*Open the 'Users' tab.&lt;br /&gt;
*Press the [Add User] Button at the bottom of the Users list.&lt;br /&gt;
&lt;br /&gt;
The process should be self explanatory...&lt;br /&gt;
*Enter the email address(es) of the new user.&lt;br /&gt;
*Select the User privileges either Manager, Reviewer or Author.&lt;br /&gt;
&lt;br /&gt;
{Optional: You can edit the email sent.}&lt;br /&gt;
&lt;br /&gt;
*Press the Invite and add Users button.&lt;br /&gt;
&lt;br /&gt;
*A new user for a Group account {who has no ACP password yet} receives a randomized password in the initial invite email to ACP. They will be prompted to change passwords the first time they sign in to the group account. &lt;br /&gt;
:*A user can have only one ACP password at a time. A new group account user with an existing ACP password {i.e. his individual account} will be instructed to use his current ACP password.&lt;br /&gt;
*The Group account manager (the one who sends the invite) is cc'ed when he sends a new user invite to  confirm that the invite email went out.&lt;br /&gt;
&lt;br /&gt;
===Manage users in a Group account===&lt;br /&gt;
&lt;br /&gt;
:*The 'User Type for Project' pulldown menu shows the user roles for a particular project, [Not a member, Manager, Author, Reviewer].  &lt;br /&gt;
:*'''If the user signed in is an Account Admin''', then this pull down now contains an additional menu item [Delete User].{The Account Admin is currently the person who requested the Group Account i.e. the first user in the list.)&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete user 01.PNG]]&lt;br /&gt;
&lt;br /&gt;
==Group Account - Add and delete Projects== &lt;br /&gt;
Any Manager can add a project. The Account Admin can delete projects. (The Account Admin is the user who signed up for the account i.e the first user in the list.) &lt;br /&gt;
&lt;br /&gt;
Note: The 'Home' project can't be deleted).&lt;br /&gt;
&lt;br /&gt;
If you are a manager, next to the Project pulldown menu there is a + button ( '+/-' buttons should be present if you are the account admin). Select '+' to add a project, then enter the project name into the field provided. Select ' - ' to permanently delete a project.&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete projects ACP 02.PNG]]&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[Analytica Cloud Player]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44941</id>
		<title>ACP Group Plans</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44941"/>
		<updated>2016-03-30T19:52:18Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* The ACP Group Account UI */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
[[Analytica_Cloud_Player#See_also|&amp;lt;&amp;lt;Back to Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
An ACP Group Account lets multiple users collaborate and share Analytica models with each other and deploy models to end users as web applications.&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This article explains some of the features of the [[Analytica Cloud Player]] (ACP) Group account.&lt;br /&gt;
&lt;br /&gt;
==The ACP Group Account UI==&lt;br /&gt;
&lt;br /&gt;
=== User Types ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Privileges&lt;br /&gt;
!Manager&lt;br /&gt;
!Author&lt;br /&gt;
!Reviewer&lt;br /&gt;
|-&lt;br /&gt;
|Delete models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Run models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Save snapshots&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Upload models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Download models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Send email invites&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Mange users&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|View subscription info&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Upload spreadsheets&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Download spreadsheets&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Ability to switch &amp;quot;Access&amp;quot; to models.===&lt;br /&gt;
&lt;br /&gt;
The &amp;quot;Access&amp;quot; column in the model's listing is now a pulldown menu so users can toggle the privacy setting {&amp;quot;Private&amp;quot; or &amp;quot;Public&amp;quot;).&lt;br /&gt;
&lt;br /&gt;
By default, when an author or manager uploads a model into an ACP Group Account, that model is accessible by all members of that project i.e. it is &amp;quot;public&amp;quot;. And in the models listing table, the column &amp;quot;Access&amp;quot; displays the text &amp;quot;public&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
By default, when a project member saves changed inputs to a model i.e. makes a snapshot, that snapshot is &amp;quot;private&amp;quot;. In the models listing, the model is only listed for that user who saved the changes, and the access column of that table has text &amp;quot;private&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
:[[File:Access 01.png]]&lt;br /&gt;
&lt;br /&gt;
==Group Account's Users Tab==&lt;br /&gt;
===Adding New Users===&lt;br /&gt;
&lt;br /&gt;
A manager can add a new user to a Group account. Authors and reviewers cannot see the Users tab.&lt;br /&gt;
*Open the 'Users' tab.&lt;br /&gt;
*Press the [Add User] Button at the bottom of the Users list.&lt;br /&gt;
&lt;br /&gt;
The process should be self explanatory...&lt;br /&gt;
*Enter the email address(es) of the new user.&lt;br /&gt;
*Select the User privileges either Manager, Reviewer or Author.&lt;br /&gt;
&lt;br /&gt;
{Optional: You can edit the email sent.}&lt;br /&gt;
&lt;br /&gt;
*Press the Invite and add Users button.&lt;br /&gt;
&lt;br /&gt;
*A new user for a Group account {who has no ACP password yet} receives a randomized password in the initial invite email to ACP. They will be prompted to change passwords the first time they sign in to the group account. &lt;br /&gt;
:*A user can have only one ACP password at a time. A new group account user with an existing ACP password {i.e. his individual account} will be instructed to use his current ACP password.&lt;br /&gt;
*The Group account manager (the one who sends the invite) is cc'ed when he sends a new user invite to  confirm that the invite email went out.&lt;br /&gt;
&lt;br /&gt;
===Manage users in a Group account===&lt;br /&gt;
&lt;br /&gt;
:*The 'User Type for Project' pulldown menu shows the user roles for a particular project, [Not a member, Manager, Author, Reviewer].  &lt;br /&gt;
:*'''If the user signed in is an Account Admin''', then this pull down now contains an additional menu item [Delete User].{The Account Admin is currently the person who requested the Group Account i.e. the first user in the list.)&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete user 01.PNG]]&lt;br /&gt;
&lt;br /&gt;
==Group Account - Add and delete Projects== &lt;br /&gt;
Any Manager can add a project. The Account Admin can delete projects. (The Account Admin is the user who signed up for the account i.e the first user in the list.) &lt;br /&gt;
&lt;br /&gt;
Note: The 'Home' project can't be deleted).&lt;br /&gt;
&lt;br /&gt;
If you are a manager, next to the Project pulldown menu there is a + button ( '+/-' buttons should be present if you are the account admin). Select '+' to add a project, then enter the project name into the field provided. Select ' - ' to permanently delete a project.&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete projects ACP 02.PNG]]&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[Analytica Cloud Player]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44940</id>
		<title>ACP Group Plans</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44940"/>
		<updated>2016-03-30T16:38:11Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* User Types */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
[[Analytica_Cloud_Player#See_also|&amp;lt;&amp;lt;Back to Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
An ACP Group Account lets multiple users collaborate and share Analytica models with each other and deploy models to end users as web applications.&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This article explains some of the features of the [[Analytica Cloud Player]] (ACP) Group account.&lt;br /&gt;
&lt;br /&gt;
==The ACP Group Account UI==&lt;br /&gt;
&lt;br /&gt;
=== User Types ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Previleges&lt;br /&gt;
!Manager&lt;br /&gt;
!Author&lt;br /&gt;
!Reviewer&lt;br /&gt;
|-&lt;br /&gt;
|Delete models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Run models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Save snapshots&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Upload models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Download models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Send email invites&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Mange users&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|View subscription info&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Upload spreadsheets&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Download spreadsheets&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Ability to switch &amp;quot;Access&amp;quot; to models.===&lt;br /&gt;
&lt;br /&gt;
The &amp;quot;Access&amp;quot; column in the model's listing is now a pulldown menu so users can toggle the privacy setting {&amp;quot;Private&amp;quot; or &amp;quot;Public&amp;quot;).&lt;br /&gt;
&lt;br /&gt;
By default, when an author or manager uploads a model into an ACP Group Account, that model is accessible by all members of that project i.e. it is &amp;quot;public&amp;quot;. And in the models listing table, the column &amp;quot;Access&amp;quot; displays the text &amp;quot;public&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
By default, when a project member saves changed inputs to a model i.e. makes a snapshot, that snapshot is &amp;quot;private&amp;quot;. In the models listing, the model is only listed for that user who saved the changes, and the access column of that table has text &amp;quot;private&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
:[[File:Access 01.png]]&lt;br /&gt;
&lt;br /&gt;
==Group Account's Users Tab==&lt;br /&gt;
===Adding New Users===&lt;br /&gt;
&lt;br /&gt;
A manager can add a new user to a Group account. Authors and reviewers cannot see the Users tab.&lt;br /&gt;
*Open the 'Users' tab.&lt;br /&gt;
*Press the [Add User] Button at the bottom of the Users list.&lt;br /&gt;
&lt;br /&gt;
The process should be self explanatory...&lt;br /&gt;
*Enter the email address(es) of the new user.&lt;br /&gt;
*Select the User privileges either Manager, Reviewer or Author.&lt;br /&gt;
&lt;br /&gt;
{Optional: You can edit the email sent.}&lt;br /&gt;
&lt;br /&gt;
*Press the Invite and add Users button.&lt;br /&gt;
&lt;br /&gt;
*A new user for a Group account {who has no ACP password yet} receives a randomized password in the initial invite email to ACP. They will be prompted to change passwords the first time they sign in to the group account. &lt;br /&gt;
:*A user can have only one ACP password at a time. A new group account user with an existing ACP password {i.e. his individual account} will be instructed to use his current ACP password.&lt;br /&gt;
*The Group account manager (the one who sends the invite) is cc'ed when he sends a new user invite to  confirm that the invite email went out.&lt;br /&gt;
&lt;br /&gt;
===Manage users in a Group account===&lt;br /&gt;
&lt;br /&gt;
:*The 'User Type for Project' pulldown menu shows the user roles for a particular project, [Not a member, Manager, Author, Reviewer].  &lt;br /&gt;
:*'''If the user signed in is an Account Admin''', then this pull down now contains an additional menu item [Delete User].{The Account Admin is currently the person who requested the Group Account i.e. the first user in the list.)&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete user 01.PNG]]&lt;br /&gt;
&lt;br /&gt;
==Group Account - Add and delete Projects== &lt;br /&gt;
Any Manager can add a project. The Account Admin can delete projects. (The Account Admin is the user who signed up for the account i.e the first user in the list.) &lt;br /&gt;
&lt;br /&gt;
Note: The 'Home' project can't be deleted).&lt;br /&gt;
&lt;br /&gt;
If you are a manager, next to the Project pulldown menu there is a + button ( '+/-' buttons should be present if you are the account admin). Select '+' to add a project, then enter the project name into the field provided. Select ' - ' to permanently delete a project.&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete projects ACP 02.PNG]]&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[Analytica Cloud Player]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44910</id>
		<title>ACP Group Plans</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44910"/>
		<updated>2016-03-29T20:57:30Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
[[Analytica_Cloud_Player#See_also|&amp;lt;&amp;lt;Back to Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
An ACP Group Account lets multiple users collaborate and share Analytica models with each other and deploy models to end users as web applications.&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This article explains some of the features of the [[Analytica Cloud Player]] (ACP) Group account.&lt;br /&gt;
&lt;br /&gt;
==The ACP Group Account UI==&lt;br /&gt;
&lt;br /&gt;
=== User Types ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Previleges&lt;br /&gt;
!Manager&lt;br /&gt;
!Author&lt;br /&gt;
!Reviewer&lt;br /&gt;
|-&lt;br /&gt;
|Delete models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Run models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Save snapshots&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|Upload models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Download models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Send email invites&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Mange users&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|View subscription info&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Ability to switch &amp;quot;Access&amp;quot; to models.===&lt;br /&gt;
&lt;br /&gt;
The &amp;quot;Access&amp;quot; column in the model's listing is now a pulldown menu so users can toggle the privacy setting {&amp;quot;Private&amp;quot; or &amp;quot;Public&amp;quot;).&lt;br /&gt;
&lt;br /&gt;
By default, when an author or manager uploads a model into an ACP Group Account, that model is accessible by all members of that project i.e. it is &amp;quot;public&amp;quot;. And in the models listing table, the column &amp;quot;Access&amp;quot; displays the text &amp;quot;public&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
By default, when a project member saves changed inputs to a model i.e. makes a snapshot, that snapshot is &amp;quot;private&amp;quot;. In the models listing, the model is only listed for that user who saved the changes, and the access column of that table has text &amp;quot;private&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
:[[File:Access 01.png]]&lt;br /&gt;
&lt;br /&gt;
==Group Account's Users Tab==&lt;br /&gt;
===Adding New Users===&lt;br /&gt;
&lt;br /&gt;
A manager can add a new user to a Group account. Authors and reviewers cannot see the Users tab.&lt;br /&gt;
*Open the 'Users' tab.&lt;br /&gt;
*Press the [Add User] Button at the bottom of the Users list.&lt;br /&gt;
&lt;br /&gt;
The process should be self explanatory...&lt;br /&gt;
*Enter the email address(es) of the new user.&lt;br /&gt;
*Select the User privileges either Manager, Reviewer or Author.&lt;br /&gt;
&lt;br /&gt;
{Optional: You can edit the email sent.}&lt;br /&gt;
&lt;br /&gt;
*Press the Invite and add Users button.&lt;br /&gt;
&lt;br /&gt;
*A new user for a Group account {who has no ACP password yet} receives a randomized password in the initial invite email to ACP. They will be prompted to change passwords the first time they sign in to the group account. &lt;br /&gt;
:*A user can have only one ACP password at a time. A new group account user with an existing ACP password {i.e. his individual account} will be instructed to use his current ACP password.&lt;br /&gt;
*The Group account manager (the one who sends the invite) is cc'ed when he sends a new user invite to  confirm that the invite email went out.&lt;br /&gt;
&lt;br /&gt;
===Manage users in a Group account===&lt;br /&gt;
&lt;br /&gt;
:*The 'User Type for Project' pulldown menu shows the user roles for a particular project, [Not a member, Manager, Author, Reviewer].  &lt;br /&gt;
:*'''If the user signed in is an Account Admin''', then this pull down now contains an additional menu item [Delete User].{The Account Admin is currently the person who requested the Group Account i.e. the first user in the list.)&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete user 01.PNG]]&lt;br /&gt;
&lt;br /&gt;
==Group Account - Add and delete Projects== &lt;br /&gt;
Any Manager can add a project. The Account Admin can delete projects. (The Account Admin is the user who signed up for the account i.e the first user in the list.) &lt;br /&gt;
&lt;br /&gt;
Note: The 'Home' project can't be deleted).&lt;br /&gt;
&lt;br /&gt;
If you are a manager, next to the Project pulldown menu there is a + button ( '+/-' buttons should be present if you are the account admin). Select '+' to add a project, then enter the project name into the field provided. Select ' - ' to permanently delete a project.&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete projects ACP 02.PNG]]&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[Analytica Cloud Player]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44909</id>
		<title>ACP Group Plans</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Group_Plans&amp;diff=44909"/>
		<updated>2016-03-29T20:56:21Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* Group Account's Users Tab */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
[[Analytica_Cloud_Player#See_also|&amp;lt;&amp;lt;Back to Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
An ACP Group Account lets multiple users collaborate and share Analytica models with each other and deploy models to end users as web applications.&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This article explains some of the features of the [[Analytica Cloud Player]] (ACP) Group account.&lt;br /&gt;
&lt;br /&gt;
==The ACP Group Account UI==&lt;br /&gt;
&lt;br /&gt;
=== User Types ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Previleges&lt;br /&gt;
!Manager&lt;br /&gt;
!Author&lt;br /&gt;
!Reviewer&lt;br /&gt;
|-&lt;br /&gt;
|Delete models&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Run models&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|-&lt;br /&gt;
|Save snapshots&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|-&lt;br /&gt;
|Upload models&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Download models&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Send email invites&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|Mange users&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|View subscription info&lt;br /&gt;
|'''✓'''&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Ability to switch &amp;quot;Access&amp;quot; to models.===&lt;br /&gt;
&lt;br /&gt;
The &amp;quot;Access&amp;quot; column in the model's listing is now a pulldown menu so users can toggle the privacy setting {&amp;quot;Private&amp;quot; or &amp;quot;Public&amp;quot;).&lt;br /&gt;
&lt;br /&gt;
By default, when an author or manager uploads a model into an ACP Group Account, that model is accessible by all members of that project i.e. it is &amp;quot;public&amp;quot;. And in the models listing table, the column &amp;quot;Access&amp;quot; displays the text &amp;quot;public&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
By default, when a project member saves changed inputs to a model i.e. makes a snapshot, that snapshot is &amp;quot;private&amp;quot;. In the models listing, the model is only listed for that user who saved the changes, and the access column of that table has text &amp;quot;private&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
:[[File:Access 01.png]]&lt;br /&gt;
&lt;br /&gt;
==Group Account's Users Tab==&lt;br /&gt;
===Adding New Users===&lt;br /&gt;
&lt;br /&gt;
A manager can add a new user to a Group account. Authors and reviewers cannot see the Users tab.&lt;br /&gt;
*Open the 'Users' tab.&lt;br /&gt;
*Press the [Add User] Button at the bottom of the Users list.&lt;br /&gt;
&lt;br /&gt;
The process should be self explanatory...&lt;br /&gt;
*Enter the email address(es) of the new user.&lt;br /&gt;
*Select the User privileges either Manager, Reviewer or Author.&lt;br /&gt;
&lt;br /&gt;
{Optional: You can edit the email sent.}&lt;br /&gt;
&lt;br /&gt;
*Press the Invite and add Users button.&lt;br /&gt;
&lt;br /&gt;
*A new user for a Group account {who has no ACP password yet} receives a randomized password in the initial invite email to ACP. They will be prompted to change passwords the first time they sign in to the group account. &lt;br /&gt;
:*A user can have only one ACP password at a time. A new group account user with an existing ACP password {i.e. his individual account} will be instructed to use his current ACP password.&lt;br /&gt;
*The Group account manager (the one who sends the invite) is cc'ed when he sends a new user invite to  confirm that the invite email went out.&lt;br /&gt;
&lt;br /&gt;
===Manage users in a Group account===&lt;br /&gt;
&lt;br /&gt;
:*The 'User Type for Project' pulldown menu shows the user roles for a particular project, [Not a member, Manager, Author, Reviewer].  &lt;br /&gt;
:*'''If the user signed in is an Account Admin''', then this pull down now contains an additional menu item [Delete User].{The Account Admin is currently the person who requested the Group Account i.e. the first user in the list.)&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete user 01.PNG]]&lt;br /&gt;
&lt;br /&gt;
==Group Account - Add and delete Projects== &lt;br /&gt;
Any Manager can add a project. The Account Admin can delete projects. (The Account Admin is the user who signed up for the account i.e the first user in the list.) &lt;br /&gt;
&lt;br /&gt;
Note: The 'Home' project can't be deleted).&lt;br /&gt;
&lt;br /&gt;
If you are a manager, next to the Project pulldown menu there is a + button ( '+/-' buttons should be present if you are the account admin). Select '+' to add a project, then enter the project name into the field provided. Select ' - ' to permanently delete a project.&lt;br /&gt;
&lt;br /&gt;
:[[File:Delete projects ACP 02.PNG]]&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[Analytica Cloud Player]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Aaa/Bbb/Ccc&amp;diff=44495</id>
		<title>Aaa/Bbb/Ccc</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Aaa/Bbb/Ccc&amp;diff=44495"/>
		<updated>2016-03-23T17:51:43Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Test pages]]&lt;br /&gt;
&lt;br /&gt;
Bbb's sub page Ccc&lt;br /&gt;
&lt;br /&gt;
This is text.&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Aaa/Bbb&amp;diff=44494</id>
		<title>Aaa/Bbb</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Aaa/Bbb&amp;diff=44494"/>
		<updated>2016-03-23T17:51:26Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Test pages]]&lt;br /&gt;
&lt;br /&gt;
This page should behave like a subpage (of Aaa).&lt;br /&gt;
&lt;br /&gt;
[[Aaa/Bbb/Ccc]]&lt;br /&gt;
&lt;br /&gt;
This is text.&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Diagram_Sizes&amp;diff=43850</id>
		<title>ACP Diagram Sizes</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Diagram_Sizes&amp;diff=43850"/>
		<updated>2016-03-16T04:33:00Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
The ACP window size is determined by the window size of the main model diagram set in Analytica, with extra space used for the logo, title, and navigation tabs. If the ACP window is smaller than the actual model UI, by default ACP will not allow a user to scroll within the ACP diagram frame, but scrollbars can be enabled by setting the [[CloudPlayerStyles Attribute Values|CloudPlayerStyles Attribute]] &amp;lt;code&amp;gt;add_scroll_bars:Yes&amp;lt;/code&amp;gt;. If the browser window is smaller than the ACP diagram, the user will not be able to scroll to the parts of the UI that are not visible. &lt;br /&gt;
&lt;br /&gt;
In certain browsers (Chrome, Internet Explorer, but not Firefox or Safari) users can use the zoom function to zoom in and out of the ACP diagram such that the whole UI will be visible. The Zoom feature typically has the keyboard shortcuts Ctrl and +/- to zoom in/out, or hold Ctrl and scroll up/down to zoom in/out. On a Mac, substitute Ctrl for Cmd/⌘. If shortcuts do not work, the Zoom feature can also be accessed directly from each browser's toolbar.&lt;br /&gt;
&lt;br /&gt;
However, it is still good practice to design your ACP interface to work well inside a browser using a minimum screen resolution so the end user can see the entire ACP interface without having to scroll or zoom.&lt;br /&gt;
&lt;br /&gt;
===Maximum Recommended Diagram Sizes===&lt;br /&gt;
For your convenience, here is a table that shows the recommended main diagram window size for the most common screen resolutions. The following table numbers are for users viewing ACP from a full-screen browser window.&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Screen Resolution !! Tabs down the left !! Tabs across the top&lt;br /&gt;
|-&lt;br /&gt;
! '''1920 x 1080''' &lt;br /&gt;
| 1635 x 840 || 1905 x 810&lt;br /&gt;
|-&lt;br /&gt;
!1600 x 900&lt;br /&gt;
|1315 x 660&lt;br /&gt;
|1585 x 635&lt;br /&gt;
|-&lt;br /&gt;
! '''1366 x 768''' &lt;br /&gt;
| 1075 x 540 || 1350 x 505&lt;br /&gt;
|-&lt;br /&gt;
!1280 x 1024&lt;br /&gt;
|990 x 785&lt;br /&gt;
|1265 x 755&lt;br /&gt;
|-&lt;br /&gt;
!1280 x 800&lt;br /&gt;
|990 x 555&lt;br /&gt;
|1265 x 525&lt;br /&gt;
|-&lt;br /&gt;
!1024 x 768&lt;br /&gt;
|735 x 520&lt;br /&gt;
|1010 x 490&lt;br /&gt;
|}&lt;br /&gt;
You should design to display resolution, which is not necessarily a screen's given resolution. Many browsers now use higher ppi (pixels per inch) so while their resolutions can be very large, their display resolutions will be much smaller. For example, Retina Macbooks have resolutions of 2560x1600 (13&amp;quot;) and 2880x1800 (15&amp;quot;), but display at 1280x800 and 1440x900, respectively.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;tip title=&amp;quot;Note&amp;quot;&amp;gt;The recommended diagram window size depends on which navigation style you choose, Tabs down the left or Tabs across the top. Tabs across the top take up 30 pixels of vertical screen space and Tabs down the left take up 270 pixels of horizontal screen space.&amp;lt;/tip&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Diagram Size in the ACP Style Library ===&lt;br /&gt;
For greater convenience, you can chose your desired minimum screen resolution from a choice menu in the [[ACP Style Library]] and it will automatically resize the main diagram window to the recommended size. This option is included in the '''Navigation styles''' section as '''Minimum Resolution'''. The default &amp;quot;Custom&amp;quot; option allows you to manually size your top diagram window.&lt;br /&gt;
&lt;br /&gt;
Note that since the recommended size depends on the '''Navigation style''' (Tabs across top vs Tabs down left), if a '''Minimum resolution''' is selected and the '''Navigation style''' is changed then the library will automatically resize the top-level diagram window to accommodate this change.&lt;br /&gt;
&lt;br /&gt;
=== Details ===&lt;br /&gt;
The ACP diagram size is set using the module's '''diagState''' values. This can be found using the Typescript (Ctrl + ')command &amp;lt;code&amp;gt;profile Module_Name&amp;lt;/code&amp;gt;. This will display a number of module characteristics, including '''diagState''': x, x, x, width, height, x. The diagState numbers include the Analytica window scroll bars shown below, but they are not part of the viewable area -- only parts of the model contained in the viewable area (in the image the lighter gray area containing the grid) will be displayed in ACP.&lt;br /&gt;
&lt;br /&gt;
[[File:Analyticascrollbars.jpg]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;tip title=&amp;quot;Note&amp;quot;&amp;gt;The [[CloudPlayerStyles Attribute Values|CloudPlayerStyle Attributes]] &amp;lt;code&amp;gt;screen_width&amp;lt;/code&amp;gt; and &amp;lt;code&amp;gt;screen_height&amp;lt;/code&amp;gt; do not size the viewable diagram but the entire Flash canvas. Setting these attribute values will not affect the ACP diagram size.&amp;lt;/tip&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== See Also ===&lt;br /&gt;
* [[ACP]]&lt;br /&gt;
* [[CloudPlayerStyles Attribute Values]]&lt;br /&gt;
* [[ACP Style Library]]&lt;br /&gt;
* [http://www.w3schools.com/browsers/browsers_display.asp W3Schools.com] table of screen resolution statistics&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Analytica_Cloud_Platform&amp;diff=43431</id>
		<title>Analytica Cloud Platform</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Analytica_Cloud_Platform&amp;diff=43431"/>
		<updated>2016-03-10T23:59:43Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: added link to acp diagram sizes&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
The '''Analytica Cloud Player''' (ACP) lets you view, run, and share Analytica models via a web browser. When running Analytica on the desktop, you can upload the model to an ACP server by selecting '''Publish to Web...''' from the '''File''' menu.  This page explains the advantages of ACP, how to use ACP, the different ACP subscriptions, with links to subpages with more detail.&lt;br /&gt;
&lt;br /&gt;
==Advantages of ACP==&lt;br /&gt;
&lt;br /&gt;
* ACP lets people view and run Analytica models as a web application. &lt;br /&gt;
* ACP users don’t need to install any software. They just need a web browser. &lt;br /&gt;
* ACP is similar to Analytica in browse mode. It lets you view and run models, and change inputs, but it doesn’t let you edit model expressions or add variables. &lt;br /&gt;
* You can be sure that all users of your model via ACP have the latest version of a model and its data -- not so easy if you are distributing a model to end users to run with desktop Analytica.&lt;br /&gt;
*ACP offers some user-interface and navigation styles not available in Analytica to help you can adapt your model’s user interface for convenient use on the web: &lt;br /&gt;
**Tab-based navigation: Top level modules become tabs&lt;br /&gt;
** You can [[ACP Rendering tables and graphs on the diagram | embed tables and graphs]] in a diagram using Frames.&lt;br /&gt;
** You can easily select user-interface options using the [[ACP Style Library]].&lt;br /&gt;
&lt;br /&gt;
===How do you use ACP?===&lt;br /&gt;
*You can upload your model to ACP immediately from inside Analytica. Just select '''Publish to Cloud''' from the '''File''' menu.&lt;br /&gt;
*The first time, it will prompt you to start up an ACP account.&lt;br /&gt;
*It gives you a directory for managing, starting, sharing, and downloading your models in ACP.&lt;br /&gt;
*Once you have set up your ACP account, you can [https://www.analyticacloud.com/acp/Client/AnalyticaCloudPlayer.aspx log in to ACP] to access your account from a web browser.&lt;br /&gt;
*You can also upload your model to ACP from the web browser. Log in to ACP from a browser and click the '''Upload''' button at the bottom of the model directory. It will prompt you for a model to upload from your computer.&lt;br /&gt;
*You can email anyone a link to your ACP model, or embed the link in a web page. With this link, a user can review model, change inputs, and view outputs, but not save changes. Just log in to ACP from a browser and press the '''Invite''' button at the bottom of the model directory to generate an Invite email. The link shown in the email can be used to access the model as a guest.&lt;br /&gt;
&lt;br /&gt;
Learn how to use Analytica Cloud Player, for better collaboration and productivity in the recorded [https://youtu.be/OH3mYa_m0xE Analytica Cloud Player (ACP) Webinar]&lt;br /&gt;
&lt;br /&gt;
== Features by ACP subscription type ==&lt;br /&gt;
:{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
!&lt;br /&gt;
! Individual Account with Free 101&lt;br /&gt;
or without Analytica Support&lt;br /&gt;
! Individual Account with &lt;br /&gt;
Analytica Support&lt;br /&gt;
! Basic Group Account&lt;br /&gt;
! Premium Group Account&lt;br /&gt;
! ACP Server License&lt;br /&gt;
|-&lt;br /&gt;
| Publish Models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Email Invites &amp;amp; Anonymous Views&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Named Users &amp;amp; Roles&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Access Control&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Save Snapshots&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Shared Project Folders&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Customizable Logo&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Sessions&lt;br /&gt;
| 25 total&lt;br /&gt;
| 25 / month&lt;br /&gt;
| 500 / month&lt;br /&gt;
| 1200 / month&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Maximum Number of Users&lt;br /&gt;
| 1&lt;br /&gt;
| 1&lt;br /&gt;
| 10&lt;br /&gt;
| 25&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Additional Sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Maximum File Size&lt;br /&gt;
| 25 MB&lt;br /&gt;
| 25 MB&lt;br /&gt;
| 50MB&lt;br /&gt;
| 200MB&lt;br /&gt;
| 200 MB&lt;br /&gt;
|-&lt;br /&gt;
| CPU minutes per calculation&lt;br /&gt;
| 1 minute&lt;br /&gt;
| 1 minute&lt;br /&gt;
| 2 minutes&lt;br /&gt;
| 5 minutes&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Optimizer&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt; &lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt; &lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
| Available add-on&lt;br /&gt;
|-&lt;br /&gt;
| Price&lt;br /&gt;
| Free&lt;br /&gt;
| Free, included &lt;br /&gt;
with support&lt;br /&gt;
| $250/month or&lt;br /&gt;
$2,000/year&lt;br /&gt;
| $5,000/year&lt;br /&gt;
| Call (+1) 650-212-1212 or Sales@Lumina.com&lt;br /&gt;
|}&lt;br /&gt;
*A '''''session''''' is one or model runs between log ins.&lt;br /&gt;
**A session starts when you first run a model after logging into ACP. &lt;br /&gt;
**A session ends after a run of 20 minutes of inactivity, when switching to a different browser is used, or when you log out.&lt;br /&gt;
**Viewing model listings does not use a session.&lt;br /&gt;
*If you need '''extra sessions''' you can [https://www.lumina.com/shoppingcart/acpcredits/ Buy ACP Session Credits] at at $25 per 25 sessions.&lt;br /&gt;
*You can buy a Basic Group Plan at [http://www.lumina.com/shoppingcart/acpgrouplan/ Buy/Renew ACP Group Plan]. To buy a Premium Group Plan, call (+1) 650-212-1212 or [mailto:sales@lumina.com sales@lumina.com].&lt;br /&gt;
*The initial 25 sessions for an Individual Account without support never expire. Monthly sessions expire after one month.&lt;br /&gt;
*'''Maximum model file size''' is 25MB for individual accounts, 50MB for the Basic Group Plan, and 200MB for the Premium Group Plan or ACP Server License.&lt;br /&gt;
*'''''CPU Minutes per calculation: ''' ''For large calculations (e.g. when you click a variable to display), ACP will time out after 1 minute of CPU time for Individual Accounts, 2 minutes for the Basic Group Plan, 5 minutes for the Premium Group Plan, and no limit for ACP on your server. The server is shared, so 2 CPU minutes may take quite a bit more than 2 actual minutes.&lt;br /&gt;
&lt;br /&gt;
===A Basic or Premium Group Plan===&lt;br /&gt;
*Multiple users can collaborate on a Group plan.&lt;br /&gt;
*Each user has their own account and password.&lt;br /&gt;
*Users can be Reviewers (run and read only), Authors (can also upload and delete models), or Administrators (can also set up people as Reviewers and Authors).&lt;br /&gt;
*A group plan can have multiple Projects containing a directory of models.&lt;br /&gt;
*Each user can be a member of selected Projects. You can’t see models in a Project unless you are member.&lt;br /&gt;
*[http://lumina.com Lumina] logo at upper left corner of ACP window can be changed to your organization's logo.&lt;br /&gt;
&lt;br /&gt;
===ACP Server Licenser===&lt;br /&gt;
You may purchase an ACP license to install [[ACP Server License|on your own server]]. This lets your users run more or larger models without having to share server resources with other customers. It also lets you access it via a corporate intranet and apply extra security for confidential or proprietary models and data. See [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
==Security==&lt;br /&gt;
Analytica Cloud Player is a secure way to share models:&lt;br /&gt;
*ACP uses a https for data transfer&lt;br /&gt;
*Data input is not saved unless the user explicitly saves a snapshot of the model&lt;br /&gt;
*Snapshots are private by default (although the user can change them to public)&lt;br /&gt;
*When a model is uploaded or saved, it can be encrypted using the &amp;quot;lock and encrypt model feature&amp;quot;&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
&amp;lt;div style=&amp;quot;column-count:2;-moz-column-count:2;-webkit-column-count:2&amp;quot;&amp;gt;&lt;br /&gt;
* [[Editions of Analytica]]&lt;br /&gt;
* [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
* [https://youtu.be/OH3mYa_m0xE Analytica Cloud Player (ACP) Webinar]&lt;br /&gt;
* [[ACP Server License]]&lt;br /&gt;
* [[ACP Style Library]]&lt;br /&gt;
* [[CloudPlayerStyles Attribute Values]]&lt;br /&gt;
* [[ACP miscellaneous | ACP: Explanation of some features not mentioned elsewhere]]&lt;br /&gt;
* [[ACP Group Accounts | Miscellaneous ACP Group account features]]&lt;br /&gt;
* [[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
*[[ACP Diagram Sizes]]&lt;br /&gt;
&amp;lt;!--[[Embedding an ACP model in a Web Page]]--&amp;gt;&lt;br /&gt;
* [[Embed an ACP model in a Web Page]]&lt;br /&gt;
&amp;lt;!--[[Putting ACP in a Web Page]]--&amp;gt;&lt;br /&gt;
* [[Save Snapshots in ACP]]&lt;br /&gt;
* [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
*[[Spreadsheets in ACP]]&lt;br /&gt;
* [[What's new in ACP?]]&lt;br /&gt;
* [[Special ACP features]]&lt;br /&gt;
* [[Future ACP Features]]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
* Example models:&lt;br /&gt;
** [https://www.analyticacloud.com/acp/Client/AcpClient.aspx?inviteId=3&amp;amp;inviteCode=221703&amp;amp;subName=acp%20demos Play the Rent vs. Buy model in ACP.]  The Rent vs. Buy model is an example model used in the Analytica Tutorial. It compares the Net Present Value of renting vs. buying a house.  Model navigation is fairly intuitive. You can switch diagrams by clicking on modules or selecting different modules in the outline tree located on the left side of the diagram. Clicking on a variable displays its result graph or table. Move the mouse over a node to see its description. Right click on a node and select 'Object view' from the popup menu to view the node's attributes in the object tab, notably its definition.&lt;br /&gt;
** [https://www.analyticacloud.com/acp/Client/AcpClient.aspx?inviteId=5&amp;amp;inviteCode=730213&amp;amp;subName=acp%20demos Play the Foxes and Hares model in ACP.]  The Foxes and Hares model is a predator-prey example model also used in the Tutorial. When playing this model ACP adds beveled gradients and drop shadows to nodes on the influence diagram. Also, the default tabbed UI has been removed. You can see node descriptions and definitions when you move the cursor over a node. It displays model results directly on the diagram.&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=43429</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=43429"/>
		<updated>2016-03-10T23:58:47Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
ACP Outline&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]] (this goes over the UI -- maybe merge with how to use ACP?)&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
* Using ACP&lt;br /&gt;
**[[ACP Style Library]] + Outdated: [[Tabs, outline, and hierarchy views in AWP and DTA]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***[[ACP Diagram Sizes]]&lt;br /&gt;
***How-to Frame nodes:&lt;br /&gt;
****[[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
****[[AWP Rendering tables and graphs on the diagram 2]]  - tall nodes, awp_attrib&lt;br /&gt;
**ACP UI: Managing users, saving snapshots, uploading models&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
** [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
** [[What's new in ACP?]]&lt;br /&gt;
** Maybe some page combining very specific features? Some seem a bit esoteric&lt;br /&gt;
*** [[Special ACP features]] -- just Javascript&lt;br /&gt;
*** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
***[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* How-to:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]] + [[Putting ACP in a Web Page]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Things that are Outdated/can be deleted/combined with other pages?&lt;br /&gt;
*Removed/combined with other pages&lt;br /&gt;
**[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
***[[Ana:AWP Business Model and Release Plans]]&lt;br /&gt;
***[[Ana:AWP Specs and Docs]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Diagram_Sizes&amp;diff=43428</id>
		<title>ACP Diagram Sizes</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Diagram_Sizes&amp;diff=43428"/>
		<updated>2016-03-10T23:58:20Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: added zoom section&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Cloud Player]]&lt;br /&gt;
&lt;br /&gt;
The ACP window size is determined by the window size of the main model diagram set in Analytica, with extra space used for the logo, title, and navigation tabs. If the ACP window is smaller than the actual model UI, by default ACP will not allow a user to scroll within the ACP diagram frame, but scrollbars can be enabled by setting the [[CloudPlayerStyles Attribute Values|CloudPlayerStyles Attribute]] &amp;lt;code&amp;gt;add_scroll_bars:Yes&amp;lt;/code&amp;gt;. If the browser window is smaller than the ACP diagram, the user will not be able to scroll to the parts of the UI that are not visible. &lt;br /&gt;
&lt;br /&gt;
In certain browsers (Chrome, Internet Explorer, but not Firefox) users can use the zoom function to zoom in and out of the ACP diagram such that the whole UI will be visible. The Zoom feature typically has the keyboard shortcuts Ctrl and +/- to zoom in/out, or hold Ctrl and scroll up/down to zoom in/out. On a Mac, substitute Ctrl for Cmd/⌘.&lt;br /&gt;
&lt;br /&gt;
However, it is still good practice to design your ACP interface to work well inside a browser using a minimum screen resolution so the end user can see the entire ACP interface without having to scroll or zoom.&lt;br /&gt;
&lt;br /&gt;
===Maximum Recommended Diagram Sizes===&lt;br /&gt;
For your convenience, here is a table that shows the recommended main diagram window size for the most common screen resolutions. The following table numbers are for users viewing ACP from a full-screen browser window.&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Screen Resolution !! Tabs down the left !! Tabs across the top&lt;br /&gt;
|-&lt;br /&gt;
! '''1920 x 1080''' &lt;br /&gt;
| 1635 x 840 || 1905 x 810&lt;br /&gt;
|-&lt;br /&gt;
!1600 x 900&lt;br /&gt;
|1315 x 660&lt;br /&gt;
|1585 x 635&lt;br /&gt;
|-&lt;br /&gt;
! '''1366 x 768''' &lt;br /&gt;
| 1075 x 540 || 1350 x 505&lt;br /&gt;
|-&lt;br /&gt;
!1280 x 1024&lt;br /&gt;
|990 x 785&lt;br /&gt;
|1265 x 755&lt;br /&gt;
|-&lt;br /&gt;
!1280 x 800&lt;br /&gt;
|990 x 555&lt;br /&gt;
|1265 x 525&lt;br /&gt;
|-&lt;br /&gt;
!1024 x 768&lt;br /&gt;
|735 x 520&lt;br /&gt;
|1010 x 490&lt;br /&gt;
|}&lt;br /&gt;
You should design to display resolution, which is not necessarily a screen's given resolution. Many browsers now use higher ppi (pixels per inch) so while their resolutions can be very large, their display resolutions will be much smaller. For example, Retina Macbooks have resolutions of 2560x1600 (13&amp;quot;) and 2880x1800 (15&amp;quot;), but display at 1280x800 and 1440x900, respectively.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;tip title=&amp;quot;Note&amp;quot;&amp;gt;The recommended diagram window size depends on which navigation style you choose, Tabs down the left or Tabs across the top. Tabs across the top take up 30 pixels of vertical screen space and Tabs down the left take up 270 pixels of horizontal screen space.&amp;lt;/tip&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Diagram Size in the ACP Style Library ===&lt;br /&gt;
For greater convenience, you can chose your desired minimum screen resolution from a choice menu in the [[ACP Style Library]] and it will automatically resize the main diagram window to the recommended size. This option is included in the '''Navigation styles''' section as '''Minimum Resolution'''. The default &amp;quot;Custom&amp;quot; option allows you to manually size your top diagram window.&lt;br /&gt;
&lt;br /&gt;
Note that since the recommended size depends on the '''Navigation style''' (Tabs across top vs Tabs down left), if a '''Minimum resolution''' is selected and the '''Navigation style''' is changed then the library will automatically resize the top-level diagram window to accommodate this change.&lt;br /&gt;
&lt;br /&gt;
=== Details ===&lt;br /&gt;
The ACP diagram size is set using the module's '''diagState''' values. This can be found using the Typescript (Ctrl + ')command &amp;lt;code&amp;gt;profile Module_Name&amp;lt;/code&amp;gt;. This will display a number of module characteristics, including '''diagState''': x, x, x, width, height, x. The diagState numbers include the Analytica window scroll bars shown below, but they are not part of the viewable area -- only parts of the model contained in the viewable area (in the image the lighter gray area containing the grid) will be displayed in ACP.&lt;br /&gt;
&lt;br /&gt;
[[File:Analyticascrollbars.jpg]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;tip title=&amp;quot;Note&amp;quot;&amp;gt;The [[CloudPlayerStyles Attribute Values|CloudPlayerStyle Attributes]] &amp;lt;code&amp;gt;screen_width&amp;lt;/code&amp;gt; and &amp;lt;code&amp;gt;screen_height&amp;lt;/code&amp;gt; do not size the viewable diagram but the entire Flash canvas. Setting these attribute values will not affect the ACP diagram size.&amp;lt;/tip&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== See Also ===&lt;br /&gt;
* [[ACP]]&lt;br /&gt;
* [[CloudPlayerStyles Attribute Values]]&lt;br /&gt;
* [[ACP Style Library]]&lt;br /&gt;
* [http://www.w3schools.com/browsers/browsers_display.asp W3Schools.com] table of screen resolution statistics&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=43024</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=43024"/>
		<updated>2016-03-04T21:26:04Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
ACP Outline&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]] (this goes over the UI -- maybe merge with how to use ACP?)&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
* Using ACP&lt;br /&gt;
**[[ACP Style Library]] + Outdated: [[Tabs, outline, and hierarchy views in AWP and DTA]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***How-to Frame nodes:&lt;br /&gt;
****[[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
****[[AWP Rendering tables and graphs on the diagram 2]]  - tall nodes, awp_attrib&lt;br /&gt;
**ACP UI: Managing users, saving snapshots, uploading models&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
** [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
** [[What's new in ACP?]]&lt;br /&gt;
** Maybe some page combining very specific features? Some seem a bit esoteric&lt;br /&gt;
*** [[Special ACP features]] -- just Javascript&lt;br /&gt;
*** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
***[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* How-to:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]] + [[Putting ACP in a Web Page]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Things that are Outdated/can be deleted/combined with other pages?&lt;br /&gt;
*Removed/combined with other pages&lt;br /&gt;
**[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
***[[Ana:AWP Business Model and Release Plans]]&lt;br /&gt;
***[[Ana:AWP Specs and Docs]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42991</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42991"/>
		<updated>2016-03-03T22:57:40Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
ACP Outline&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]] (this goes over the UI -- maybe merge with how to use ACP?)&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
* How to Use ACP&lt;br /&gt;
**[[ACP Style Library]] + Outdated: [[Tabs, outline, and hierarchy views in AWP and DTA]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***How-to Frame nodes:&lt;br /&gt;
****[[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
****[[AWP Rendering tables and graphs on the diagram 2]]  - tall nodes, awp_attrib&lt;br /&gt;
**ACP UI: Managing users, saving snapshots, uploading models&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
** [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
** [[What's new in ACP?]]&lt;br /&gt;
** Maybe some page combining very specific features? Some seem a bit esoteric&lt;br /&gt;
*** [[Special ACP features]] -- just Javascript&lt;br /&gt;
*** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
***[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* How to:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]] + [[Putting ACP in a Web Page]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Things that are Outdated/can be deleted/combined with other pages?&lt;br /&gt;
*Removed/combined with other pages&lt;br /&gt;
**[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
***[[Ana:AWP Business Model and Release Plans]]&lt;br /&gt;
***[[Ana:AWP Specs and Docs]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42989</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42989"/>
		<updated>2016-03-03T22:55:48Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
ACP Outline&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]] (this goes over the UI -- maybe merge with how to use ACP?)&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
* How to Use ACP&lt;br /&gt;
**[[ACP Style Library]] + Outdated: [[Tabs, outline, and hierarchy views in AWP and DTA]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***How-to Frame nodes:&lt;br /&gt;
****[[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
****[[AWP Rendering tables and graphs on the diagram 2]]  - tall nodes, awp_attrib&lt;br /&gt;
**ACP UI: Managing users, saving snapshots, uploading models&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
** [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
** [[What's new in ACP?]]&lt;br /&gt;
** Maybe some page combining very specific features?&lt;br /&gt;
*** [[Special ACP features]] -- just Javascript&lt;br /&gt;
*** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
***[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
* How to:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]] + [[Putting ACP in a Web Page]]&lt;br /&gt;
&lt;br /&gt;
Things that are Outdated/can be deleted/combined with other pages or possibly too esoteric?&lt;br /&gt;
*Removed/combined with other pages&lt;br /&gt;
**[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
***[[Ana:AWP Business Model and Release Plans]]&lt;br /&gt;
***[[Ana:AWP Specs and Docs]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42973</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42973"/>
		<updated>2016-03-03T01:26:57Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
ACP Outline&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]]&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
* How to Use ACP&lt;br /&gt;
**[[ACP Style Library]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***[[Tabs, outline, and hierarchy views in AWP and DTA]]&lt;br /&gt;
**ACP UI&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
**[[What's new in ACP?]]&lt;br /&gt;
**[[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
**[[Special ACP features]] -- just Javascrip&lt;br /&gt;
* How To:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]]&lt;br /&gt;
** [[Putting ACP in a Web Page]]&lt;br /&gt;
** [[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
**[[AWP Rendering tables and graphs on the diagram 2]] - tall nodes, awp_attrib&lt;br /&gt;
**[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
*[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
***[[Ana:AWP Business Model and Release Plans]]&lt;br /&gt;
***[[Ana:AWP Specs and Docs]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42960</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42960"/>
		<updated>2016-03-02T23:46:09Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
ACP Outline&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]]&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
* How to Use ACP&lt;br /&gt;
**[[ACP Style Library]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
***[[Tabs, outline, and hierarchy views in AWP and DTA]]&lt;br /&gt;
**ACP UI&lt;br /&gt;
***[[Save Snapshots in ACP]]&lt;br /&gt;
* Features&lt;br /&gt;
**[[What's new in ACP?]]&lt;br /&gt;
**[[Future ACP Features]] -- outdated: I think a lot of these have actually been implemented?&lt;br /&gt;
**[[Special ACP features]] -- just Javascrip&lt;br /&gt;
* How To:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]]&lt;br /&gt;
** [[Putting ACP in a Web Page]]&lt;br /&gt;
** [[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
**[[AWP Rendering tables and graphs on the diagram 2]] - tall nodes, awp_attrib&lt;br /&gt;
**[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
*[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
&lt;br /&gt;
* Outdated&lt;br /&gt;
** [[Analytica Web Publisher]]&lt;br /&gt;
** [[Analytica Web Player]]&lt;br /&gt;
** [[Ana:Analytica Web Player (AWP)]] and all internal AWP pages&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42950</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42950"/>
		<updated>2016-03-02T18:29:52Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
ACP Outline&lt;br /&gt;
* Intro to ACP ([[Analytica Cloud Player]] - general overview on what is it, different subscription types)&lt;br /&gt;
**Analytica Cloud Player (ACP) Webinar&lt;br /&gt;
**Subscription Types&lt;br /&gt;
*** [[ACP Group Accounts]]&lt;br /&gt;
*** [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
* How to Use ACP&lt;br /&gt;
**[[ACP Style Library]]&lt;br /&gt;
***[[CloudPlayerStyles Attribute Values|CloudPlayerStyles]]&lt;br /&gt;
* Features&lt;br /&gt;
**[[Future ACP Features]] -- I think a lot of these have actually been implemented?&lt;br /&gt;
**[[Special ACP features]]&lt;br /&gt;
* How To:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
** [[Save Snapshots in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]]&lt;br /&gt;
** [[Putting ACP in a Web Page]]&lt;br /&gt;
** [[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
**[[Spec for setting definitions using url encoding in ACP]]&lt;br /&gt;
*[[ACP miscellaneous]]: passwords, text nodes, show definition&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42949</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42949"/>
		<updated>2016-03-02T18:01:22Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
ACP Outline&lt;br /&gt;
* [[Analytica Cloud Player]] - general overview (what is it, different subscription types)&lt;br /&gt;
** [[ACP Group Accounts]]&lt;br /&gt;
** [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
* How To:&lt;br /&gt;
** [[Spreadsheets in ACP]]&lt;br /&gt;
** [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
** [[Save Snapshots in ACP]]&lt;br /&gt;
** [[Embed an ACP model in a Web Page]]&lt;br /&gt;
** [[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
!|''''e''''&lt;br /&gt;
!|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|3&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Category:ADE_User_Guide&amp;diff=42342</id>
		<title>Category:ADE User Guide</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Category:ADE_User_Guide&amp;diff=42342"/>
		<updated>2016-02-24T23:33:14Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: Adding category tags&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Analytica Decision Engine]]&lt;br /&gt;
[[Category:ADE User Guide]]&lt;br /&gt;
&lt;br /&gt;
These are the pages that are a part of the [[ADE User Guide]].&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Distribution_Densities_Library&amp;diff=42319</id>
		<title>Distribution Densities Library</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Distribution_Densities_Library&amp;diff=42319"/>
		<updated>2016-02-24T21:53:32Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* Listing of functions in this library */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Function libraries]]&lt;br /&gt;
[[Category: Distribution Functions]]&lt;br /&gt;
[[Category: Distribution Densities library functions]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The [[media:Distribution Densities.ana|Distribution Densities library]] is a library that ships with Analytica.  The library contains functions that analytically (i.e., without sampling) compute the probability density at a point, cumulative probability at a point and inverse cumulative probability for many distributions. It contains a complete set of density functions for all continuous distributions, probability functions for all discrete distributions, as well as cumulative and inverse cumulative probability functions for almost all continuous built-in distributions.&lt;br /&gt;
&lt;br /&gt;
All functions here take a first parameter, indicating the point where the function is being computed, followed by exactly the same parameters that the corresponding distribution function takes.&lt;br /&gt;
&lt;br /&gt;
== Download Latest ==&lt;br /&gt;
&lt;br /&gt;
Download [[media:Distribution Densities.ana|Distribution Densities.ana]] and place it in the Libraries directory under the Analytica install path, replacing the version that is there.&lt;br /&gt;
&lt;br /&gt;
== Density Functions ==&lt;br /&gt;
&lt;br /&gt;
For each continuous distribution, the library contains a function prefixed by ''Dens_'', then the name of the distribution, which computes the probability density at a point.  The parameters after the first are the same as the corresponding distribution function.  So, for example, to find the density of a &amp;lt;code&amp;gt;Normal(5, 7)&amp;lt;/code&amp;gt; distribution at &amp;lt;code&amp;gt;x = 3&amp;lt;/code&amp;gt;, we would use:&lt;br /&gt;
:&amp;lt;code&amp;gt;Dens_Normal(3, 5, 7)  &amp;amp;rarr; 0.05471&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Probability densities are, of course, used for many purposes in statistics.  One area where they are needed, for example, is for [[Statistical Functions and Importance Weighting|importance sampling]].&lt;br /&gt;
&lt;br /&gt;
== Probability Functions ==&lt;br /&gt;
For each discrete distribution, the library contains a corresponding function prefixed with the name ''Prob_'' that computes the probability at the value k.  The first parameter is the point ''k'', for which the desired probability is desired, followed by the same parameters used by the corresponding distribution function.  So, for example, to find the probability that a sample drawn from a &amp;lt;code&amp;gt;Binomial(10, 0.7)&amp;lt;/code&amp;gt; distribution is equal to 4, we would use:&lt;br /&gt;
:&amp;lt;code&amp;gt;Prob_Binomial(4, 10, 0.7) &amp;amp;rarr; 0.03676&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Cumulative Probability Functions ==&lt;br /&gt;
These exist for univariate distributions, both continuous and discrete.  They return the probability area to the left of and at the indicated value.  These consist of functions prefixed with ''Cum'', followed by the distribution name.  A few of the more difficult cumulative distribution functions are already built into Analytica, and are not repeated in this library, for example [[CumNormal]], [[BetaI]], and [[GammaI]].  The [[BetaI]] and [[GammaI]] functions are the only ones that deviate from the ''Cum''Dist naming convention, which occurs because these particular functions more often are refered to as the ''incomplete beta function'' and ''incomplete gamma function''.&lt;br /&gt;
&lt;br /&gt;
To find the cumulative probability to the left of 5.5 in a &amp;lt;code&amp;gt;Logistic(10)&amp;lt;/code&amp;gt; distribution, use:&lt;br /&gt;
:&amp;lt;code&amp;gt;CumLogistic(5.5, 10)  &amp;amp;rarr; 0.01099&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The collection also contains cumulative distribution functions for the F-Distribution, [[CumFDist]] and [[CumFDistInv]], functions often used in classical hypothesis testing, even though these aren't built-in distributions in Analytica.&lt;br /&gt;
&lt;br /&gt;
For any distribution function, the cumulative probability at ''x'' can always be computed using:&lt;br /&gt;
:&amp;lt;code&amp;gt;Probability(''Distribution(a, b, c)'' &amp;lt;= x)&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ''Distribution(a, b, c)'' is the arbitrary distribution function.  However, doing it in this fashion computes the result using Monte Carlo or Latin Hypercube sampling, which in general is an approximation.  The cumulative probability functions that are included in this library compute the cumulative probability ''analytically'', rather than by sampling.  Analytic results are usually more accurate and often more efficiently computed.&lt;br /&gt;
&lt;br /&gt;
== Inverse Cumulative Probability Functions ==&lt;br /&gt;
Inverse cumulative distribution functions return the value where the probability mass to the left of the value is equal to the given value.  These are included for all built-in parametric continuous distributions.&lt;br /&gt;
&lt;br /&gt;
The inverse cumulative functions have the naming convention that they are prefixed with ''Cum'' and suffixed by ''Inv''.  So, for example, the inverse cumulative distribution function for [[Weibull]] is [[CumWeibullInv]].  The only exceptions are [[BetaIInv]] and [[GammaIInv]].&lt;br /&gt;
&lt;br /&gt;
As the name implies, the inverse cumulative distribution functions are inverses of the cumulative distribution functions.  Thus:&lt;br /&gt;
:&amp;lt;code&amp;gt;Cum''Dist''Inv(Cum''Dist''(x, a, b, c), a, b, c) &amp;amp;rarr; x&amp;lt;/code&amp;gt;&lt;br /&gt;
and&lt;br /&gt;
:&amp;lt;code&amp;gt;Cum''Dist''(Cum''Dist''Inv(p, a, b, c), a, b, c) &amp;amp;rarr; p&amp;lt;/code&amp;gt;&lt;br /&gt;
where ''Dist'' is a distribution with parameters ''a, b,'' and ''c'', and where ''x'' is within the valid range of the distribution and ''0 &amp;amp;le; p &amp;amp;le; 1''.&lt;br /&gt;
&lt;br /&gt;
For any arbitrary distribution in Analytica, it is always possible to compute the inverse cumulative density at ''p'' using the [[GetFract]] function, as follows:&lt;br /&gt;
:&amp;lt;code&amp;gt;GetFract(''Distribution''(a, b, c), p)&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
While general, this computation approximates the inverse cumulative distribution function by using Monte Carlo sampling.  For very complex distribution functions, that is often a reasonable method for obtaining the inverse.  However, the general sampling approach using [[GetFract]] differs from the functions described here, in that the functions in this library compute the inverse CDF ''analytically'', obtaining the value without necessarily resorting to simulation or approximation.  For many distributions (the ones included here), this tends to produce a more accurate result and with less computation time.&lt;br /&gt;
&lt;br /&gt;
== Listing of functions in this library ==&lt;br /&gt;
Most distribution functions themselves come built in to Analytica and do not require the Distribution Densities Library. To use any of the Density, Cumulative Density, or Inverse Cumulative functions you will need to add the library to your model. &lt;br /&gt;
&lt;br /&gt;
=== Continuous Distributions ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Distribution Function || Density Function || Cumulative Density Function || Inverse Cumulative Function&lt;br /&gt;
|-&lt;br /&gt;
| [[Beta]](a, b) || [[Dens_Beta]](x, a, b) || [[BetaI]](x, a, b) || [[BetaIInv]](p, a, b)&lt;br /&gt;
|-&lt;br /&gt;
| [[ChiSquared]](dof) || [[Dens_ChiSquared]](x, dof) || [[CumChiSquared]](x, dof) || [[CumChiSquaredInv]](p, dof)&lt;br /&gt;
|-&lt;br /&gt;
| [[CumDist]](P, R, I) || [[Dens_CumDist]](x, P, R, I) || &amp;amp;nbsp; || &amp;amp;nbsp;&lt;br /&gt;
|-&lt;br /&gt;
| [[Exponential]](rate) || [[Dens_Exponential]](x, rate) || [[CumExponential]](x, rate) || [[CumExponentialInv]](p, rate)&lt;br /&gt;
|-&lt;br /&gt;
| F-distribution&amp;lt;br&amp;gt;(no built-in dist) || [[Dens_FDist]](x, d1, d2) || [[CumFDist]](x, d1, d2) || [[CumFDistInv]](p, d1, d2)&lt;br /&gt;
|-&lt;br /&gt;
| [[Gamma]](a'', b'') || [[Dens_Gamma]](x, a'', b'') || [[GammaI]](x, a'', b'') || [[GammaIInv]](p, a'', b'')&lt;br /&gt;
|-&lt;br /&gt;
| [[Gaussian]](m, cv, I, J) || [[Dens_Gaussian]](x, m, cv, I, J) || n/a || n/a&lt;br /&gt;
|-&lt;br /&gt;
| [[InvertedWishart]](psi, n, I, J) || [[LDens_InvertedWishart]](x, psi, n, I, J) || n/a || n/a&lt;br /&gt;
|-&lt;br /&gt;
| [[Logistic]](mean'', scale'') || [[Dens_Logistic]](x, mean'', scale'') || [[CumLogistic]](x, mean'', scale'') || [[CumLogisticInv]](x, mean'', scale'')&lt;br /&gt;
|-&lt;br /&gt;
| [[LogNormal]](''median, gsdev, mean, stddev'') || [[Dens_LogNormal]](x, ''median, gsdev, mean, stddev'') || [[CumLogNormal]](x, ''median, gsdev, mean, stddev'') || [[CumLogNormalInv]](p, ''median, gsdev, mean, stddev'')&lt;br /&gt;
|-&lt;br /&gt;
| [[Normal]](m, sd) || [[Dens_Normal]](x'', m, sd'') || [[CumNormal]](x'', m, sd'') || [[CumNormalInv]](x'', m, sd'')&lt;br /&gt;
|-&lt;br /&gt;
| [[ProbDist]](p, r, I) || [[Dens_ProbDist]](x, p, r, I) || &amp;amp;nbsp; || &amp;amp;nbsp;&lt;br /&gt;
|-&lt;br /&gt;
| [[StudentT]](dof) || [[Dens_StudentT]](x, dof) || [[CumStudentT]](x, dof) || [[CumStudentT]](p, dof)&lt;br /&gt;
|-&lt;br /&gt;
| [[Triangular]](min, mode, max) || [[Dens_Triangular]](x, min, mode, max) || [[CumTriangular]](x, min, mode, max) || [[CumTriangularInv]](p, min, mode, max)&lt;br /&gt;
|-&lt;br /&gt;
| [[Uniform]](lb, ub) || [[Dens_Uniform]](x, lb, ub) || [[CumUniform]](x, lb, ub) || [[CumUniformInv]](p, lb, ub)&lt;br /&gt;
|-&lt;br /&gt;
| [[Weibull]](shape'', scale'') || [[Dens_Weibull]](x, shape'', scale'') || [[CumWeibull]](x, shape'', scale'') || [[CumWeibullInv]](shape'', scale'')&lt;br /&gt;
|-&lt;br /&gt;
| [[Wishart]](cv, n, I, J) || [[LDens_Wishart]](x, cv, n, I, J) || n/a || n/a&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Discrete Distributions ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Distribution Function || Probability Function || Cumulative Probability Function || Inverse Cumulative Probability Function&lt;br /&gt;
|-&lt;br /&gt;
| [[Bernoulli]](p) || [[Prob_Bernoulli]](k, p) || n/a || n/a&lt;br /&gt;
|-&lt;br /&gt;
| [[Binomial]](n, p) || [[Prob_Binomial]](k, n, p) || [[CumBinomial]](k, n, p) || [[CumBinomialInv]](u, n, p)&lt;br /&gt;
|-&lt;br /&gt;
| [[ChanceDist]](p, a, I) || [[Prob_ChanceDist]](x, p, a, I) || &amp;amp;nbsp; || &amp;amp;nbsp;&lt;br /&gt;
|-&lt;br /&gt;
| [[Geometric]](p) || [[Prob_Geometric]](k, p) || [[CumGeometric]](k, p) || [[CumGeometricInv]](u, p)&lt;br /&gt;
|-&lt;br /&gt;
| [[HyperGeometric]](trials, posEvents, size) || [[Prob_HyperGeometric]](k, trials, posEvents, size) || &amp;amp;nbsp; || &amp;amp;nbsp;&lt;br /&gt;
|-&lt;br /&gt;
| [[NegativeBinomial]](r, p) || [[Prob_NegativeBinomia]](k,  r, p) || [[CumNegativeBinomial]](k, r, p) || [[CumNegativeBinomInv]](u, r, p)&lt;br /&gt;
|-&lt;br /&gt;
| [[Poisson]](mean) || [[Prob_Poisson]](k, mean) || [[CumPoisson]](k, mean) || &amp;amp;nbsp;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== See Also ==&lt;br /&gt;
* [[media:Distribution Densities.ana|Distribution Densities.ana]]&lt;br /&gt;
* [[Probability Distributions]]&lt;br /&gt;
* [[Distribution Functions]]&lt;br /&gt;
* [[Statistical Functions and Importance Weighting]]&lt;br /&gt;
* [[Graphing a Probability Density]]&lt;br /&gt;
* [[Analytica Libraries and Templates]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ADE_User_Guide&amp;diff=42298</id>
		<title>ADE User Guide</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ADE_User_Guide&amp;diff=42298"/>
		<updated>2016-02-24T19:49:50Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Decision Engine]]&lt;br /&gt;
[[Category:ADE User Guide]]&lt;br /&gt;
[[Category:Documentation]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;languages /&amp;gt;&lt;br /&gt;
&amp;lt;translate&amp;gt;&amp;lt;!--T:1--&amp;gt;&lt;br /&gt;
The Analytica Decision Engine (ADE) is a powerful COM component that runs Analytica models on a server computer. Other applications can use ADE to access Analytica models via standard COM interface. ADE  provides an Application Programming Interface (API) through which other application programs can create, read, check, parse, evaluate, modify, and save Analytica models. ADE does not itself provide a user interface as Analytica provides on a desktop computer. If you want a web-based user interface, you can use the [[Analytica Cloud Player]] (ACP) which itself uses ADE.  Or you can use ADE to access your Analytica model from another application that can supply inputs, run the model, and collect and display results. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:2--&amp;gt;&lt;br /&gt;
This is the user guide for programmers that wish to develop applications using ADE. It also contains information about how to install ADE.&lt;br /&gt;
&lt;br /&gt;
==How to use this document== &amp;lt;!--T:3--&amp;gt;&lt;br /&gt;
Under each page's title the page's hierarchy and any parent pages will be listed. The pages in the guide can be read in any order, but for those who want to read the guide sequentially there are Previous and Next links at the bottom of each page which will take the reader through all of the guide's pages in order.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:4--&amp;gt;&lt;br /&gt;
At the bottom of each page there is also a Navbox that will list all of the contents of the guide so any page in the guide will be accessible from any other page in the guide.&lt;br /&gt;
&lt;br /&gt;
==Contents of the ADE User Guide== &amp;lt;!--T:5--&amp;gt;&lt;br /&gt;
===[[Introduction to ADE]]===&lt;br /&gt;
This chapter explains what ADE is and how to use the ADE Server.&lt;br /&gt;
&lt;br /&gt;
===[[Installation of ADE]]=== &amp;lt;!--T:6--&amp;gt;&lt;br /&gt;
This chapter explains the steps required to install ADE 4.6 on your Windows NT 4 (&amp;gt;SP 6), 2000, XP, or Vista computer.&lt;br /&gt;
&lt;br /&gt;
===[[The ADE Tutorial]]=== &amp;lt;!--T:7--&amp;gt;&lt;br /&gt;
This chapter shows you how to use ADE from within a Visual Basic program, and steps you through building your first ADE application using Visual Basic.&lt;br /&gt;
&lt;br /&gt;
===[[Using the ADE Server]]=== &amp;lt;!--T:8--&amp;gt;&lt;br /&gt;
This chapter provides a step-by-step guide to the functionality accessible through ADE. You should read this section to get better acquainted with the classes, and their methods and properties. By using the sample code fragments presented in this section in your code, you can begin accessing information in your models from your Visual Basic applications immediately.&lt;br /&gt;
&lt;br /&gt;
===[[Working with Models, Modules, and Files in ADE]]=== &amp;lt;!--T:9--&amp;gt;&lt;br /&gt;
This chapter contains examples of common operations and manipulations you might perform on objects in your Analytica model.&lt;br /&gt;
&lt;br /&gt;
===[[ADE Server Class Reference]]=== &amp;lt;!--T:10--&amp;gt;&lt;br /&gt;
This chapter provides reference materials on the object classes in ADE and their properties and methods, including method syntax, data types, and property access information. Refer to the information in this section after you’ve read through [[Using the ADE Server]] and have specific questions about particular methods and properties.&lt;br /&gt;
&lt;br /&gt;
==See Also== &amp;lt;!--T:12--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:13--&amp;gt;&lt;br /&gt;
* [http://www.lumina.com/products/analytica-editions/analytica-decision-engine/ Analytica Decision Engine] on the [http://lumina.com Lumina web site] for basic information about ADE, trials, and pricing.&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;!--T:11--&amp;gt;&lt;br /&gt;
{| style=&amp;quot;margin: 1em auto 1em auto;width: 100%;border:0;table-layout: fixed;&amp;quot; cellpadding=5&lt;br /&gt;
|- style=&amp;quot;text-align: center&amp;quot;&lt;br /&gt;
|  &amp;lt;big&amp;gt;&amp;amp;#x21e6;&amp;lt;/big&amp;gt;  ||  [[ADE User Guide]] || &amp;lt;big&amp;gt;&amp;amp;#x21e8;&amp;lt;/big&amp;gt; [[Introduction to ADE|Introduction to ADE]]&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/translate&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ADE_User_Guide&amp;diff=42297</id>
		<title>ADE User Guide</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ADE_User_Guide&amp;diff=42297"/>
		<updated>2016-02-24T19:49:39Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Decision Engine]]&lt;br /&gt;
[[Category:ADE User Guide]]&lt;br /&gt;
[[Category:Documentation]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;languages /&amp;gt;&lt;br /&gt;
&amp;lt;translate&amp;gt;&amp;lt;!--T:1--&amp;gt;&lt;br /&gt;
The Analytica Decision Engine (ADE) is a powerful COM component that runs Analytica models on a server computer. Other applications can use ADE to access Analytica models via standard COM interface. ADE  provides an Application Programming Interface (API) through which other application programs can create, read, check, parse, evaluate, modify, and save Analytica models. ADE does not itself provide a user interface as Analytica provides on a desktop computer. If you want a web-based user interface, you can use the [[Analytica Cloud Player]] (ACP) which itself uses ADE.  Or you can use ADE to access your Analytica model from another application that can supply inputs, run the model, and collect and display results. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:2--&amp;gt;&lt;br /&gt;
This is the user guide for programmers that wish to develop applications using ADE. It also contains information about how to install ADE.&lt;br /&gt;
&lt;br /&gt;
==How to use this document== &amp;lt;!--T:3--&amp;gt;&lt;br /&gt;
Under each page's title the page's hierarchy and any parent pages will be listed. The pages in the guide can be read in any order, but for those who want to read the guide sequentially there are Previous and Next links at the bottom of each page which will take the reader through all of the guide's pages in order.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:4--&amp;gt;&lt;br /&gt;
At the bottom of each page there is also a Navbox that will list all of the contents of the guide so any page in the guide will be accessible from any other page in the guide.&lt;br /&gt;
&lt;br /&gt;
==Contents of the ADE User Guide== &amp;lt;!--T:5--&amp;gt;&lt;br /&gt;
===[[Introduction to ADE]]===&lt;br /&gt;
This chapter explains what ADE is and how to use the ADE Server.&lt;br /&gt;
&lt;br /&gt;
===[[Installation of ADE]]=== &amp;lt;!--T:6--&amp;gt;&lt;br /&gt;
This chapter explains the steps required to install ADE 4.6 on your Windows NT 4 (&amp;gt;SP 6), 2000, XP, or Vista computer.&lt;br /&gt;
&lt;br /&gt;
===[[The ADE Tutorial]]=== &amp;lt;!--T:7--&amp;gt;&lt;br /&gt;
This chapter shows you how to use ADE from within a Visual Basic program, and steps you through building your first ADE application using Visual Basic.&lt;br /&gt;
&lt;br /&gt;
===[[Using the ADE Server]]=== &amp;lt;!--T:8--&amp;gt;&lt;br /&gt;
This chapter provides a step-by-step guide to the functionality accessible through ADE. You should read this section to get better acquainted with the classes, and their methods and properties. By using the sample code fragments presented in this section in your code, you can begin accessing information in your models from your Visual Basic applications immediately.&lt;br /&gt;
&lt;br /&gt;
===[[Working with Models, Modules, and Files in ADE]]=== &amp;lt;!--T:9--&amp;gt;&lt;br /&gt;
This chapter contains examples of common operations and manipulations you might perform on objects in your Analytica model.&lt;br /&gt;
&lt;br /&gt;
===[[ADE Server Class Reference]]=== &amp;lt;!--T:10--&amp;gt;&lt;br /&gt;
This chapter provides reference materials on the object classes in ADE and their properties and methods, including method syntax, data types, and property access information. Refer to the information in this section after you’ve read through [[Using the ADE Server]] and have specific questions about particular methods and properties.&lt;br /&gt;
&lt;br /&gt;
==See Also== &amp;lt;!--T:12--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:13--&amp;gt;&lt;br /&gt;
* [http://www.lumina.com/products/analytica-editions/analytica-decision-engine/ Analytica Decision Engine] on the [http://lumina.com Lumina web site] for basic information about ADE, trials, and pricing.&lt;br /&gt;
*link 2&lt;br /&gt;
*link 3&lt;br /&gt;
*Link 5&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;!--T:11--&amp;gt;&lt;br /&gt;
{| style=&amp;quot;margin: 1em auto 1em auto;width: 100%;border:0;table-layout: fixed;&amp;quot; cellpadding=5&lt;br /&gt;
|- style=&amp;quot;text-align: center&amp;quot;&lt;br /&gt;
|  &amp;lt;big&amp;gt;&amp;amp;#x21e6;&amp;lt;/big&amp;gt;  ||  [[ADE User Guide]] || &amp;lt;big&amp;gt;&amp;amp;#x21e8;&amp;lt;/big&amp;gt; [[Introduction to ADE|Introduction to ADE]]&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/translate&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ADE_User_Guide&amp;diff=42296</id>
		<title>ADE User Guide</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ADE_User_Guide&amp;diff=42296"/>
		<updated>2016-02-24T19:49:20Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Analytica Decision Engine]]&lt;br /&gt;
[[Category:ADE User Guide]]&lt;br /&gt;
[[Category:Documentation]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;languages /&amp;gt;&lt;br /&gt;
&amp;lt;translate&amp;gt;&amp;lt;!--T:1--&amp;gt;&lt;br /&gt;
The Analytica Decision Engine (ADE) is a powerful COM component that runs Analytica models on a server computer. Other applications can use ADE to access Analytica models via standard COM interface. ADE  provides an Application Programming Interface (API) through which other application programs can create, read, check, parse, evaluate, modify, and save Analytica models. ADE does not itself provide a user interface as Analytica provides on a desktop computer. If you want a web-based user interface, you can use the [[Analytica Cloud Player]] (ACP) which itself uses ADE.  Or you can use ADE to access your Analytica model from another application that can supply inputs, run the model, and collect and display results. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:2--&amp;gt;&lt;br /&gt;
This is the user guide for programmers that wish to develop applications using ADE. It also contains information about how to install ADE.&lt;br /&gt;
&lt;br /&gt;
==How to use this document== &amp;lt;!--T:3--&amp;gt;&lt;br /&gt;
Under each page's title the page's hierarchy and any parent pages will be listed. The pages in the guide can be read in any order, but for those who want to read the guide sequentially there are Previous and Next links at the bottom of each page which will take the reader through all of the guide's pages in order.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:4--&amp;gt;&lt;br /&gt;
At the bottom of each page there is also a Navbox that will list all of the contents of the guide so any page in the guide will be accessible from any other page in the guide.&lt;br /&gt;
&lt;br /&gt;
==Contents of the ADE User Guide== &amp;lt;!--T:5--&amp;gt;&lt;br /&gt;
===[[Introduction to ADE]]===&lt;br /&gt;
This chapter explains what ADE is and how to use the ADE Server.&lt;br /&gt;
&lt;br /&gt;
===[[Installation of ADE]]=== &amp;lt;!--T:6--&amp;gt;&lt;br /&gt;
This chapter explains the steps required to install ADE 4.6 on your Windows NT 4 (&amp;gt;SP 6), 2000, XP, or Vista computer.&lt;br /&gt;
&lt;br /&gt;
===[[The ADE Tutorial]]=== &amp;lt;!--T:7--&amp;gt;&lt;br /&gt;
This chapter shows you how to use ADE from within a Visual Basic program, and steps you through building your first ADE application using Visual Basic.&lt;br /&gt;
&lt;br /&gt;
===[[Using the ADE Server]]=== &amp;lt;!--T:8--&amp;gt;&lt;br /&gt;
This chapter provides a step-by-step guide to the functionality accessible through ADE. You should read this section to get better acquainted with the classes, and their methods and properties. By using the sample code fragments presented in this section in your code, you can begin accessing information in your models from your Visual Basic applications immediately.&lt;br /&gt;
&lt;br /&gt;
===[[Working with Models, Modules, and Files in ADE]]=== &amp;lt;!--T:9--&amp;gt;&lt;br /&gt;
This chapter contains examples of common operations and manipulations you might perform on objects in your Analytica model.&lt;br /&gt;
&lt;br /&gt;
===[[ADE Server Class Reference]]=== &amp;lt;!--T:10--&amp;gt;&lt;br /&gt;
This chapter provides reference materials on the object classes in ADE and their properties and methods, including method syntax, data types, and property access information. Refer to the information in this section after you’ve read through [[Using the ADE Server]] and have specific questions about particular methods and properties.&lt;br /&gt;
&lt;br /&gt;
==See Also== &amp;lt;!--T:12--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--T:13--&amp;gt;&lt;br /&gt;
* [http://www.lumina.com/products/analytica-editions/analytica-decision-engine/ Analytica Decision Engine] on the [http://lumina.com Lumina web site] for basic information about ADE, trials, and pricing.&lt;br /&gt;
*link 2&lt;br /&gt;
*link 3&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;!--T:11--&amp;gt;&lt;br /&gt;
{| style=&amp;quot;margin: 1em auto 1em auto;width: 100%;border:0;table-layout: fixed;&amp;quot; cellpadding=5&lt;br /&gt;
|- style=&amp;quot;text-align: center&amp;quot;&lt;br /&gt;
|  &amp;lt;big&amp;gt;&amp;amp;#x21e6;&amp;lt;/big&amp;gt;  ||  [[ADE User Guide]] || &amp;lt;big&amp;gt;&amp;amp;#x21e8;&amp;lt;/big&amp;gt; [[Introduction to ADE|Introduction to ADE]]&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/translate&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42275</id>
		<title>User:Karenlee</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Karenlee&amp;diff=42275"/>
		<updated>2016-02-24T18:15:55Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: heading styles&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Documentation guidelines]]&lt;br /&gt;
&lt;br /&gt;
=Option 1=&lt;br /&gt;
&amp;lt;font style=&amp;quot;font-size:24px&amp;quot;&amp;gt;Heading 2&amp;lt;/font&amp;gt;&lt;br /&gt;
====Heading 4====&lt;br /&gt;
&lt;br /&gt;
=Option 2=&lt;br /&gt;
&amp;lt;font style=&amp;quot;font-size:19px&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Heading 2&amp;lt;/strong&amp;gt;&amp;lt;/font&amp;gt;&lt;br /&gt;
====Heading 4====&lt;br /&gt;
&lt;br /&gt;
==Example Variables==&lt;br /&gt;
&amp;lt;code&amp;gt;variable A :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|''''a''''&lt;br /&gt;
!|''''b''''&lt;br /&gt;
!|''''c''''&lt;br /&gt;
!|''''d''''&lt;br /&gt;
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!|''''f''''&lt;br /&gt;
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|4&lt;br /&gt;
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|3&lt;br /&gt;
|1&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable B :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! !! colspan=&amp;quot;6&amp;quot; | I &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
|'''J &amp;amp;#9660;'''&lt;br /&gt;
|''''a''''&lt;br /&gt;
|''''b''''&lt;br /&gt;
|''''c''''&lt;br /&gt;
|''''d''''&lt;br /&gt;
|''''e''''&lt;br /&gt;
|''''f''''&lt;br /&gt;
|-&lt;br /&gt;
|'''1'''&lt;br /&gt;
|3&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|4&lt;br /&gt;
|5&lt;br /&gt;
|3&lt;br /&gt;
|-&lt;br /&gt;
|'''2'''&lt;br /&gt;
|2&lt;br /&gt;
|1&lt;br /&gt;
|5&lt;br /&gt;
|2&lt;br /&gt;
|3&lt;br /&gt;
|4&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;variable C :=&amp;lt;/code&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;5&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | K &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!|'''1'''&lt;br /&gt;
!|'''2'''&lt;br /&gt;
!|'''3'''&lt;br /&gt;
!|'''4'''&lt;br /&gt;
!|'''5'''&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
|2&lt;br /&gt;
|5&lt;br /&gt;
|1&lt;br /&gt;
|3&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Functions_by_category&amp;diff=41188</id>
		<title>Functions by category</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Functions_by_category&amp;diff=41188"/>
		<updated>2016-02-11T17:11:44Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: updated columns to new column break&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Functions]](Back to [[Analytica Reference]])&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&amp;lt;columns&amp;gt;&lt;br /&gt;
== Language, control, and syntax ==&lt;br /&gt;
'''[[Operators]]: '''[[Operators  | Arithmetic: + - * / ^]]  [[Comparison Operators |Comparison]]: =  &amp;lt;  &amp;gt;  &amp;lt;&amp;gt;  &amp;lt;=  &amp;gt;=  [[Logical Operators |Logical]]:  [[And]], [[Or]], [[Not]]; [[Text Concatenation Operator: &amp;amp; |Text concatenation]]: &amp;amp;; [[Subscript/Slice Operator |Subscript and slice:  x[I=x], x[@I=x] ]], [[Assignment Operator := |Assignment :=]], [[Reference Operator::\ |Reference \]], [[Dereference Operator |Dereference #]], &lt;br /&gt;
&lt;br /&gt;
'''Conditional constructs:''' [[If-Then-Else]], [[Ifall-Then-Else]], [[Ifonly-Then-Else]], [[If0]], [[Ifpos]]&lt;br /&gt;
&lt;br /&gt;
'''Loops:''' [[While..Do]], [[For..Do]]&lt;br /&gt;
&lt;br /&gt;
'''Grouped expressions:'''  [[Begin-End for Grouping Expressions |(expr; expr)]],  [[Begin-End for Grouping Expressions |BEGIN expr; expr END]]&lt;br /&gt;
&lt;br /&gt;
'''Comments:''' { comment }, /* comment */&lt;br /&gt;
&lt;br /&gt;
'''Local variables:'''  [[Var..Do |VAR x]], [[Index..Do |Index i]];  [[MetaVar  |MetaVar v]]; [[MetaIndex  |MetaIndex i]]; [[Alias..Do |Alias a]], [[Local Index Operator::A.I]]&lt;br /&gt;
&lt;br /&gt;
'''Sensitivity analysis:''' [[Dydx]], [[Elasticity]], [[WhatIf]], [[WhatIfAll]] &lt;br /&gt;
&lt;br /&gt;
==Mathematics==&lt;br /&gt;
'''Basic math:''' [[Abs]], [[Sign]], [[Mod]], [[Round]], [[Ceil]], [[Floor]], [[Sqr]], [[Sqrt]], [[Exp]], [[Ln]], [[LogTen]], [[Factorial]], [[Degrees]], [[Radians]]&lt;br /&gt;
&lt;br /&gt;
'''Trigonometry: '''[[Trig Functions | Sin, Cos, Tan]][[Trig Functions | Sinh, Cosh, Tanh]]; [[ArcSin]], [[ArcCos]], [[ArcTan]], [[ArcTan2]]; [[ArcSinH]],  [[ArcCosH]], [[ArcTanH]]&lt;br /&gt;
&lt;br /&gt;
'''[[Set Functions |Set functions]]: '''[[SetContains]], [[SetDifference]], [[SetEvaluationFlag]], [[SetIntersection]], [[SetUnion]]&lt;br /&gt;
&lt;br /&gt;
'''[[Complex Numbers |Complex numbers]]:''' [[RealPart]], [[ImPart]], [[ComplexDegrees]], [[ComplexRadians]], [[Conj]]&lt;br /&gt;
&lt;br /&gt;
'''Signal processing:''' [[FFT]], [[FFTInv]]&lt;br /&gt;
&lt;br /&gt;
==Dates, Text, Financial==&lt;br /&gt;
'''[[Date and Time Values |Date and Time]]:'''[[Date_Functions#MakeDate.28year.2C_month.2C_day.29 | MakeDate]], [[DateAdd]], [[DatePart]], [[Today]], [[ParseDate]], [[IsDateTime]]&lt;br /&gt;
&lt;br /&gt;
[[Text values |'''Text''']]''': '''[[SelectText]],  [[FindInText]], [[TextReplace]], [[SplitText]], [[JoinText]], [[Text Concatenation Operator: &amp;amp; |Text Concatenation: t1&amp;amp;t2]], [[TextLength]], [[TextLowerCase]], [[TextUpperCase]], [[TextSentenceCase]], [[TextTrim]]&lt;br /&gt;
&lt;br /&gt;
'''[[:Category:Financial Functions |Financial]]''': [[Pv]], [[Fv]], [[Npv]], [[XNpv]], [[Rate]], [[NPer]], [[Pmt]], [[PPmt]], [[IPmt]], [[CumIPmt]], [[Irr]], [[XIrr]]&lt;br /&gt;
=== Array functions ===&lt;br /&gt;
'''Make an Index: '''[[Sequence]],  [[Sequence Operator |Sequence Operator: first..last]], [[SortIndex]], [[SplitText]], [[SubIndex]], [[Subset]], [[Unique]]&lt;br /&gt;
&lt;br /&gt;
'''[[:Category:Array-reducing functions |Array reducing]]: '''[[Sum]], [[Product]], [[Average]],[[Functions_Min_and_Max || Max]] [[Functions_Min_and_Max | Min]], [[ArgMin_and_ArgMax]], [[JoinText]], [[Functions_Min_and_Max | Condmax]], [[Functions_Min_and_Max | Condmin]], [[Area]]&lt;br /&gt;
&lt;br /&gt;
'''Subscript, selection, lookup: '''[[Slice]], [[Subscript]],  [[Subscript/Slice Operator |Slice Operator: [@I=n]]], [[StepInterp]]&lt;br /&gt;
&lt;br /&gt;
'''Array mapping: '''[[Cumulate]], [[Uncumulate]], [[CumProduct]], [[Normalize]], [[Integrate]], [[Rank]], [[Sort]], [[Aggregate]]&lt;br /&gt;
&lt;br /&gt;
'''Tables and functions to make arrays: '''[[Array]], [[Table]], [[SubTable]], [[MultiTable]], [[DetermTable]], [[ProbTable]], [[AddIndex]]&lt;br /&gt;
&lt;br /&gt;
'''Interpolation: '''[[StepInterp]], [[LinearInterp]], [[CubicInterp]], [[MonoCubicInterp]]&lt;br /&gt;
&lt;br /&gt;
'''Matrix: '''[[MatrixMultiply]], [[Transpose]], [[Invert]], [[Determinant]], [[Decompose]],  [[EigenDecomp]], [[SingularValueDecomp]]&lt;br /&gt;
&lt;br /&gt;
'''Information about arrays: '''[[Size]], [[IndexesOf]], [[IndexNames]], [[MemoryInUseBy]]&lt;br /&gt;
&lt;br /&gt;
'''Relational tables: '''[[MdTable]], [[MdArrayToTable]]&lt;br /&gt;
&lt;br /&gt;
'''Other array functions: '''[[Aggregate]]&lt;br /&gt;
###&lt;br /&gt;
==Statistics and Probability distributions==&lt;br /&gt;
'''[[Statistics]]: '''[[Median]], [[Mean]],  [[SDeviation]], [[Variance]], [[Skewness]], [[Kurtosis]], [[Statistics]], [[Probability]], [[GetFract]],  [[ProbBands]], [[Correlation]], [[RankCorrel]], [[Regression]], [[Cdf]],  [[Pdf]]&lt;br /&gt;
&lt;br /&gt;
'''Custom distributions: '''[[CumDist]], [[Fractiles]], [[ChanceDist]], [[ProbDist]], [[ProbTable]], [[Random]]&lt;br /&gt;
&lt;br /&gt;
'''Discrete distributions: '''[[Bernoulli]], [[Binomial]], [[NegativeBinomial]], [[Combinations]],  [[Permutations]], [[Geometric]], [[HyperGeometric]], [[Certain]]&lt;br /&gt;
&lt;br /&gt;
'''Continuous distribution functions: '''[[Uniform]], [[Normal]], [[LogNormal]], [[Beta]], [[Triangular]], [[Poisson]], [[Exponential]], [[Gamma]], [[StudentT]], [[Weibull]], [[Wilcoxon]], [[Logistic]], [[BesselJ]], [[BesselY]], [[BesselI]], [[BesselK]], [[ChiSquared]]&lt;br /&gt;
&lt;br /&gt;
'''Modifying distributions: ''' [[Mid]], [[Sample]],  [[Truncate]], [[Shuffle]]&lt;br /&gt;
&lt;br /&gt;
[[Erf]], [[ErfInv]]&lt;br /&gt;
&lt;br /&gt;
'''Functions for distributions: '''[[ProbWilcoxon]], [[CumWilcoxon]], [[CumWilcoxonInv]], [[BetaI]], [[BetaIInv]], [[GammaI]], [[GammaIInv]], [[CumNormal]], [[CumNormalInv]]&lt;br /&gt;
&lt;br /&gt;
'''SIPs and SLURPs: '''[[SipDecode]], [[SipEncode]]&lt;br /&gt;
&lt;br /&gt;
'''Distributions from function libraries'''&lt;br /&gt;
&lt;br /&gt;
'''Distribution Variations.ana:''' [[Gamma_m_sd|Gamma_m_sd]], [[GammaFn]], [[GammaI]], [[GammaIInv]], [[InverseGaussian]], [[InvertedWishart]], [[Lorenzian]], [[NegBinomial]]&lt;br /&gt;
&lt;br /&gt;
'''Multivariate Distributions.ana: '''[[Gaussian]], [[Multinomial]], [[MultiNormal]], [[MultiUniform]], [[Normal_additive_gro]], [[Normal_compound_gro]], [[Normal_correl]], [[Normal_serial_correl]]&lt;br /&gt;
&lt;br /&gt;
'''Distribution Densities.ana:''' [[LDens_InvertedWishart]], [[LDens_Wishart]], [[LGamma]][[Text Concatenation Operator: &amp;amp; |&amp;lt;nowiki/&amp;gt;]]&amp;lt;nowiki/&amp;gt;'''&amp;lt;nowiki/&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
== User interaction and dialog ==&lt;br /&gt;
'''User input:''' [[Choice | Choice]], [[Checkbox]]&lt;br /&gt;
&lt;br /&gt;
'''Dialog boxes: '''[[MsgBox]], [[Error]], [[AskMsgText]], [[AskMsgChoice]], [[AskMsgNumber]], [[ShowProgressBar]]&lt;br /&gt;
&lt;br /&gt;
== Types and type conversion ==&lt;br /&gt;
'''Convert type: '''[[Chr]], [[Asc]], [[NumberToText]], [[ParseDate]], [[ParseNumber]]&lt;br /&gt;
&lt;br /&gt;
'''Get or test type:''' [[Data_Type_Functions#Function_TypeOf | TypeOf]], [[IsDateTime]], [[IsHandle]], [[Data_Type_Functions#Function_IsNaN | IsNaN]], [[IsNull]],[[Data_Type_Functions#Function_IsNumber | IsNumber]], [[IsRealNumber]],[[Data_Type_Functions#Function_IsReference | IsReference]],[[Data_Type_Functions#Function_IsText | IsText]], [[Data_Type_Functions#Function_IsUndef | IsUndef]], [[IsResultComputed]], [[Data_Type_Functions#Function_IsNotSpecified |IsNotSpecified]]&lt;br /&gt;
== Optimizer functions ==&lt;br /&gt;
DefineOptimization, [[OptInfo]], [[OptObjective]], [[OptSolution]], [[OptStatusNum]], [[OptStatusText]], [[OptEngineInfo]], [[GroupedInteger]], [[OptFindIIS]], [[OptWriteIIS]],  [[OptGuess]]&lt;br /&gt;
&lt;br /&gt;
[[OptObjectiveSa]], [[OptRead]], [[OptWrite]], [[OptReducedCost]], [[OptRhsSa]], [[OptScalarToConstraint]], [[OptScalarToDecision]], [[OptShadow]], [[OptSlack]]&lt;br /&gt;
&lt;br /&gt;
== Integration with other applications ==&lt;br /&gt;
'''Reading and writing data: '''[[ReadFromUrl]], [[OpenURL]], [[ReadImageFile]], [[ReadTextFile]], [[WriteTextFile]], [[ShowPdfFile]]&lt;br /&gt;
&lt;br /&gt;
'''Spreadsheet access: '''[[SpreadsheetOpen]], [[SpreadsheetCell]], [[SpreadsheetRange]], [[SpreadsheetSetCell]], [[SpreadsheetSetRange]],[[SpreadsheetSave]],,  [[SpreadsheetInfo]], [[SpreadsheetSetInfo]]&lt;br /&gt;
&lt;br /&gt;
'''Database and ODBC access: '''[[SqlDriverInfo]], [[DbLabels]], [[DbQuery]], [[DbTable]], [[DbTablenames]], [[DbWrite]], [[MdxQuery]]&lt;br /&gt;
&lt;br /&gt;
'''Run other applications:''' [[RunConsoleProcess]]&lt;br /&gt;
&lt;br /&gt;
'''[[COM Integration|COM API]]: '''[[COMArray]], [[COMCallMethod]], [[COMCreateObject]], [[COMGetProperty]]&lt;br /&gt;
&lt;br /&gt;
=== Special functions ===&lt;br /&gt;
[[Dynamic]], [[Iterate]], [[FindPolynomialZeroes]]&lt;br /&gt;
&lt;br /&gt;
[[Objects and meta-inference: |'''Objects and meta-inference:''']] [[ListOfHandles]], [[Dereference Operator::# |Dereference Operator: #R]] [[VarTerm Functions#Function_IndexesOf | IndexesOf]], [[IndexNames]], [[VarTerm Functions#Function_GetVariableByName | GetVariableByName]], [[IndexValue]], [[AttribGet]]&lt;br /&gt;
&lt;br /&gt;
'''[[Evaluation Modes|Evaluation]]:''' [[Mid]], [[Sample]], [[Evaluate]], [[EvaluateScript]], [[GetEvaluationContext]]&lt;br /&gt;
&lt;br /&gt;
'''Error handling:''' [[Error]], [[IgnoreWarnings]], [[Try]], [[ReThrow]]&lt;br /&gt;
&lt;br /&gt;
'''Miscellaneous: '''[[Discrete]], [[Dispatch]], [[FunctionOf]] &lt;br /&gt;
&lt;br /&gt;
[[Domain Expressions|'''Domain expressions''']]: [[Continuous]], [[Discrete]], [[Integer]], [[Boolean]] and [[Discrete]]&lt;br /&gt;
&lt;br /&gt;
'''[[Domain Access Functions]]: '''[[Domain Access Functions |DomainType, DomainType, DomainLowerBound, DomainUpperBound, DomainIntegerGroup]]&lt;br /&gt;
###&lt;br /&gt;
=== Attributes ===&lt;br /&gt;
&lt;br /&gt;
'''User editable for variables:''' Class, Identifier, Title, Units, Description, Definition, Domain, MetaIndex, User-defined attributes&lt;br /&gt;
&lt;br /&gt;
'''User editable for Functions:''' Parameters&lt;br /&gt;
&lt;br /&gt;
'''User editable for Models, Modules, and Libraries:''' Author, Savedate, Filename&lt;br /&gt;
&lt;br /&gt;
'''Computed:''' Value, Probvalue, Inputs, Outputs  [add the rest]&lt;br /&gt;
&lt;br /&gt;
'''Internal:''' Diagwindow, ObjectWindow ..... [add the rest]&lt;br /&gt;
&lt;br /&gt;
'''System variables:''' Run, Time,''' '''[[AnalyticaLicenseInfo]], [[GetProcessInfo]], [[GetRegistryValue]], [[MemoryInUseBy]]&lt;br /&gt;
&lt;br /&gt;
== Function parameter qualifiers ==&lt;br /&gt;
'''Type:''' [[Boolean]], [[Integer]], Index, Variable, Handle&lt;br /&gt;
&lt;br /&gt;
'''Number of parameters:''' Optional, Repeated&lt;br /&gt;
&lt;br /&gt;
'''Array qualifiers:''' Scalar, Vector, Array&lt;br /&gt;
&lt;br /&gt;
[Add all qualifiers and links to them]&lt;br /&gt;
&lt;br /&gt;
== Functions still to be categorized ==&lt;br /&gt;
&lt;br /&gt;
[[Frequency]]&lt;br /&gt;
&lt;br /&gt;
=== Functions libraries ===&lt;br /&gt;
[[media:GCD function library.ana |'''GCD function library.ana''']]''':''' [[GCD]]&lt;br /&gt;
&lt;br /&gt;
'''Optimization Functions.ana:''' [[GoalSeek]], [[Gradient]]&lt;br /&gt;
&lt;br /&gt;
'''Financial library.ana:''' [[Implied_volatility_c]], [[Implied_volatility_p]] &lt;br /&gt;
&lt;br /&gt;
'''ODBC Library.ana:''' [[InsertRecSql]], &lt;br /&gt;
&lt;br /&gt;
'''Generalized Regression.ana:''' [[InvLogit]], [[Logistic_Regression]], [[Logit]]&lt;br /&gt;
&lt;br /&gt;
'''Linked List Library.ana:''' [[LL_First]], [[LL_Length]], [[LL_Nth]], [[LL_Push]], [[LL_Remove_First]], [[LL_To_Array]], [[LL_to_RArray]]&lt;br /&gt;
&lt;br /&gt;
=== Obsolete optimizer functions: [Move to a separate page of obsolete functions]  ===&lt;br /&gt;
[[LpDefine]], [[LpFindIIS]], [[LpObjSa]], [[LpOpt]], [[LpRead]], [[LpReducedCost]], [[LpRhsSa]], [[LpShadow]], [[LpSlack]], [[LpSolution]], [[LpStatusNum]], [[LpStatusText]], [[LpWrite]], [[LpWriteIIS]], [[NlpDefine]]&lt;br /&gt;
&lt;br /&gt;
=== Other deprecated functions ===&lt;br /&gt;
[[Join]]&lt;br /&gt;
&amp;lt;/columns&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Functions_by_category&amp;diff=41059</id>
		<title>Functions by category</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Functions_by_category&amp;diff=41059"/>
		<updated>2016-02-10T17:43:37Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: columns&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Functions]](Back to [[Analytica Reference]])&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
&amp;lt;columns&amp;gt;&lt;br /&gt;
== Language, control, and syntax ==&lt;br /&gt;
'''[[Operators]]: '''[[Operators  {{!}} Arithmetic: + - * / ^]]  [[Comparison Operators {{!}}Comparison]]: =  &amp;lt;  &amp;gt;  &amp;lt;&amp;gt;  &amp;lt;=  &amp;gt;=  [[Logical Operators {{!}}Logical]]:  [[And]], [[Or]], [[Not]]; [[Text Concatenation Operator: &amp;amp; {{!}}Text concatenation]]: &amp;amp;; [[Subscript/Slice Operator {{!}}Subscript and slice:  x[I=x], x[@I=x] ]], [[Assignment Operator := {{!}}Assignment :=]], [[Reference Operator::\ {{!}}Reference \]], [[Dereference Operator {{!}}Dereference #]], &lt;br /&gt;
&lt;br /&gt;
'''Conditional constructs:''' [[If-Then-Else]], [[Ifall-Then-Else]], [[Ifonly-Then-Else]], [[If0]], [[Ifpos]]&lt;br /&gt;
&lt;br /&gt;
'''Loops:''' [[While..Do]], [[For..Do]]&lt;br /&gt;
&lt;br /&gt;
'''Grouped expressions:'''  [[Begin-End for Grouping Expressions {{!}}(expr; expr)]],  [[Begin-End for Grouping Expressions {{!}}BEGIN expr; expr END]]&lt;br /&gt;
&lt;br /&gt;
'''Comments:''' { comment }, /* comment */&lt;br /&gt;
&lt;br /&gt;
'''Local variables:'''  [[Var..Do {{!}}VAR x]], [[Index..Do {{!}}Index i]];  [[MetaVar  {{!}}MetaVar v]]; [[MetaIndex  {{!}}MetaIndex i]]; [[Alias..Do {{!}}Alias a]], [[Local Index Operator::A.I]]&lt;br /&gt;
&lt;br /&gt;
'''Sensitivity analysis:''' [[Dydx]], [[Elasticity]], [[WhatIf]], [[WhatIfAll]] &lt;br /&gt;
&lt;br /&gt;
==Mathematics==&lt;br /&gt;
'''Basic math:''' [[Abs]], [[Sign]], [[Mod]], [[Round]], [[Ceil]], [[Floor]], [[Sqr]], [[Sqrt]], [[Exp]], [[Ln]], [[LogTen]], [[Factorial]], [[Degrees]], [[Radians]]&lt;br /&gt;
&lt;br /&gt;
'''Trigonometry: '''[[Trig Functions {{!}} Sin, Cos, Tan]][[Trig Functions {{!}} Sinh, Cosh, Tanh]]; [[ArcSin]], [[ArcCos]], [[ArcTan]], [[ArcTan2]]; [[ArcSinH]],  [[ArcCosH]], [[ArcTanH]]&lt;br /&gt;
&lt;br /&gt;
'''[[Set Functions {{!}}Set functions]]: '''[[SetContains]], [[SetDifference]], [[SetEvaluationFlag]], [[SetIntersection]], [[SetUnion]]&lt;br /&gt;
&lt;br /&gt;
'''[[Complex Numbers {{!}}Complex numbers]]:''' [[RealPart]], [[ImPart]], [[ComplexDegrees]], [[ComplexRadians]], [[Conj]]&lt;br /&gt;
&lt;br /&gt;
'''Signal processing:''' [[FFT]], [[FFTInv]]&lt;br /&gt;
&lt;br /&gt;
==Dates, Text, Financial==&lt;br /&gt;
'''[[Date and Time Values {{!}}Date and Time]]:'''[[Date_Functions#MakeDate.28year.2C_month.2C_day.29 {{!}} MakeDate]], [[DateAdd]], [[DatePart]], [[Today]], [[ParseDate]], [[IsDateTime]]&lt;br /&gt;
&lt;br /&gt;
[[Text values {{!}}'''Text''']]''': '''[[SelectText]],  [[FindInText]], [[TextReplace]], [[SplitText]], [[JoinText]], [[Text Concatenation Operator: &amp;amp; {{!}}Text Concatenation: t1&amp;amp;t2]], [[TextLength]], [[TextLowerCase]], [[TextUpperCase]], [[TextSentenceCase]], [[TextTrim]]&lt;br /&gt;
&lt;br /&gt;
'''[[:Category:Financial Functions {{!}}Financial]]''': [[Pv]], [[Fv]], [[Npv]], [[XNpv]], [[Rate]], [[NPer]], [[Pmt]], [[PPmt]], [[IPmt]], [[CumIPmt]], [[Irr]], [[XIrr]]&lt;br /&gt;
=== Array functions ===&lt;br /&gt;
'''Make an Index: '''[[Sequence]],  [[Sequence Operator {{!}}Sequence Operator: first..last]], [[SortIndex]], [[SplitText]], [[SubIndex]], [[Subset]], [[Unique]]&lt;br /&gt;
&lt;br /&gt;
'''[[:Category:Array-reducing functions {{!}}Array reducing]]: '''[[Sum]], [[Product]], [[Average]],[[Functions_Min_and_Max {{!}}{{!}} Max]] [[Functions_Min_and_Max {{!}} Min]], [[ArgMin_and_ArgMax]], [[JoinText]], [[Functions_Min_and_Max {{!}} Condmax]], [[Functions_Min_and_Max {{!}} Condmin]], [[Area]]&lt;br /&gt;
&lt;br /&gt;
'''Subscript, selection, lookup: '''[[Slice]], [[Subscript]],  [[Subscript/Slice Operator {{!}}Slice Operator: [@I=n]]], [[StepInterp]]&lt;br /&gt;
&lt;br /&gt;
'''Array mapping: '''[[Cumulate]], [[Uncumulate]], [[CumProduct]], [[Normalize]], [[Integrate]], [[Rank]], [[Sort]], [[Aggregate]]&lt;br /&gt;
&lt;br /&gt;
'''Tables and functions to make arrays: '''[[Array]], [[Table]], [[SubTable]], [[MultiTable]], [[DetermTable]], [[ProbTable]], [[AddIndex]]&lt;br /&gt;
&lt;br /&gt;
'''Interpolation: '''[[StepInterp]], [[LinearInterp]], [[CubicInterp]], [[MonoCubicInterp]]&lt;br /&gt;
&lt;br /&gt;
'''Matrix: '''[[MatrixMultiply]], [[Transpose]], [[Invert]], [[Determinant]], [[Decompose]],  [[EigenDecomp]], [[SingularValueDecomp]]&lt;br /&gt;
&lt;br /&gt;
'''Information about arrays: '''[[Size]], [[IndexesOf]], [[IndexNames]], [[MemoryInUseBy]]&lt;br /&gt;
&lt;br /&gt;
'''Relational tables: '''[[MdTable]], [[MdArrayToTable]]&lt;br /&gt;
&lt;br /&gt;
'''Other array functions: '''[[Aggregate]]&lt;br /&gt;
|&lt;br /&gt;
==Statistics and Probability distributions==&lt;br /&gt;
'''[[Statistics]]: '''[[Median]], [[Mean]],  [[SDeviation]], [[Variance]], [[Skewness]], [[Kurtosis]], [[Statistics]], [[Probability]], [[GetFract]],  [[ProbBands]], [[Correlation]], [[RankCorrel]], [[Regression]], [[Cdf]],  [[Pdf]]&lt;br /&gt;
&lt;br /&gt;
'''Custom distributions: '''[[CumDist]], [[Fractiles]], [[ChanceDist]], [[ProbDist]], [[ProbTable]], [[Random]]&lt;br /&gt;
&lt;br /&gt;
'''Discrete distributions: '''[[Bernoulli]], [[Binomial]], [[NegativeBinomial]], [[Combinations]],  [[Permutations]], [[Geometric]], [[HyperGeometric]], [[Certain]]&lt;br /&gt;
&lt;br /&gt;
'''Continuous distribution functions: '''[[Uniform]], [[Normal]], [[LogNormal]], [[Beta]], [[Triangular]], [[Poisson]], [[Exponential]], [[Gamma]], [[StudentT]], [[Weibull]], [[Wilcoxon]], [[Logistic]], [[BesselJ]], [[BesselY]], [[BesselI]], [[BesselK]], [[ChiSquared]]&lt;br /&gt;
&lt;br /&gt;
'''Modifying distributions: ''' [[Mid]], [[Sample]],  [[Truncate]], [[Shuffle]]&lt;br /&gt;
&lt;br /&gt;
[[Erf]], [[ErfInv]]&lt;br /&gt;
&lt;br /&gt;
'''Functions for distributions: '''[[ProbWilcoxon]], [[CumWilcoxon]], [[CumWilcoxonInv]], [[BetaI]], [[BetaIInv]], [[GammaI]], [[GammaIInv]], [[CumNormal]], [[CumNormalInv]]&lt;br /&gt;
&lt;br /&gt;
'''SIPs and SLURPs: '''[[SipDecode]], [[SipEncode]]&lt;br /&gt;
&lt;br /&gt;
'''Distributions from function libraries'''&lt;br /&gt;
&lt;br /&gt;
'''Distribution Variations.ana:''' [[Gamma_m_sd{{!}}Gamma_m_sd]], [[GammaFn]], [[GammaI]], [[GammaIInv]], [[InverseGaussian]], [[InvertedWishart]], [[Lorenzian]], [[NegBinomial]]&lt;br /&gt;
&lt;br /&gt;
'''Multivariate Distributions.ana: '''[[Gaussian]], [[Multinomial]], [[MultiNormal]], [[MultiUniform]], [[Normal_additive_gro]], [[Normal_compound_gro]], [[Normal_correl]], [[Normal_serial_correl]]&lt;br /&gt;
&lt;br /&gt;
'''Distribution Densities.ana:''' [[LDens_InvertedWishart]], [[LDens_Wishart]], [[LGamma]][[Text Concatenation Operator: &amp;amp; {{!}}&amp;lt;nowiki/&amp;gt;]]&amp;lt;nowiki/&amp;gt;'''&amp;lt;nowiki/&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
== User interaction and dialog ==&lt;br /&gt;
'''User input:''' [[Choice {{!}} Choice]], [[Checkbox]]&lt;br /&gt;
&lt;br /&gt;
'''Dialog boxes: '''[[MsgBox]], [[Error]], [[AskMsgText]], [[AskMsgChoice]], [[AskMsgNumber]], [[ShowProgressBar]]&lt;br /&gt;
&lt;br /&gt;
== Types and type conversion ==&lt;br /&gt;
'''Convert type: '''[[Chr]], [[Asc]], [[NumberToText]], [[ParseDate]], [[ParseNumber]]&lt;br /&gt;
&lt;br /&gt;
'''Get or test type:''' [[Data_Type_Functions#Function_TypeOf {{!}} TypeOf]], [[IsDateTime]], [[IsHandle]], [[Data_Type_Functions#Function_IsNaN {{!}} IsNaN]], [[IsNull]],[[Data_Type_Functions#Function_IsNumber {{!}} IsNumber]], [[IsRealNumber]],[[Data_Type_Functions#Function_IsReference {{!}} IsReference]],[[Data_Type_Functions#Function_IsText {{!}} IsText]], [[Data_Type_Functions#Function_IsUndef {{!}} IsUndef]], [[IsResultComputed]], [[Data_Type_Functions#Function_IsNotSpecified {{!}}IsNotSpecified]]&lt;br /&gt;
== Optimizer functions ==&lt;br /&gt;
DefineOptimization, [[OptInfo]], [[OptObjective]], [[OptSolution]], [[OptStatusNum]], [[OptStatusText]], [[OptEngineInfo]], [[GroupedInteger]], [[OptFindIIS]], [[OptWriteIIS]],  [[OptGuess]]&lt;br /&gt;
&lt;br /&gt;
[[OptObjectiveSa]], [[OptRead]], [[OptWrite]], [[OptReducedCost]], [[OptRhsSa]], [[OptScalarToConstraint]], [[OptScalarToDecision]], [[OptShadow]], [[OptSlack]]&lt;br /&gt;
&lt;br /&gt;
== Integration with other applications ==&lt;br /&gt;
'''Reading and writing data: '''[[ReadFromUrl]], [[OpenURL]], [[ReadImageFile]], [[ReadTextFile]], [[WriteTextFile]], [[ShowPdfFile]]&lt;br /&gt;
&lt;br /&gt;
'''Spreadsheet access: '''[[SpreadsheetOpen]], [[SpreadsheetCell]], [[SpreadsheetRange]], [[SpreadsheetSetCell]], [[SpreadsheetSetRange]],[[SpreadsheetSave]],,  [[SpreadsheetInfo]], [[SpreadsheetSetInfo]]&lt;br /&gt;
&lt;br /&gt;
'''Database and ODBC access: '''[[SqlDriverInfo]], [[DbLabels]], [[DbQuery]], [[DbTable]], [[DbTablenames]], [[DbWrite]], [[MdxQuery]]&lt;br /&gt;
&lt;br /&gt;
'''Run other applications:''' [[RunConsoleProcess]]&lt;br /&gt;
&lt;br /&gt;
'''[[COM Integration{{!}}COM API]]: '''[[COMArray]], [[COMCallMethod]], [[COMCreateObject]], [[COMGetProperty]]&lt;br /&gt;
&lt;br /&gt;
=== Special functions ===&lt;br /&gt;
[[Dynamic]], [[Iterate]], [[FindPolynomialZeroes]]&lt;br /&gt;
&lt;br /&gt;
[[Objects and meta-inference: {{!}}'''Objects and meta-inference:''']] [[ListOfHandles]], [[Dereference Operator::# {{!}}Dereference Operator: #R]] [[VarTerm Functions#Function_IndexesOf {{!}} IndexesOf]], [[IndexNames]], [[VarTerm Functions#Function_GetVariableByName {{!}} GetVariableByName]], [[IndexValue]], [[AttribGet]]&lt;br /&gt;
&lt;br /&gt;
'''[[Evaluation Modes{{!}}Evaluation]]:''' [[Mid]], [[Sample]], [[Evaluate]], [[EvaluateScript]], [[GetEvaluationContext]]&lt;br /&gt;
&lt;br /&gt;
'''Error handling:''' [[Error]], [[IgnoreWarnings]], [[Try]], [[ReThrow]]&lt;br /&gt;
&lt;br /&gt;
'''Miscellaneous: '''[[Discrete]], [[Dispatch]], [[FunctionOf]] &lt;br /&gt;
&lt;br /&gt;
[[Domain Expressions{{!}}'''Domain expressions''']]: [[Continuous]], [[Discrete]], [[Integer]], [[Boolean]] and [[Discrete]]&lt;br /&gt;
&lt;br /&gt;
'''[[Domain Access Functions]]: '''[[Domain Access Functions {{!}}DomainType, DomainType, DomainLowerBound, DomainUpperBound, DomainIntegerGroup]]&lt;br /&gt;
|&lt;br /&gt;
=== Attributes ===&lt;br /&gt;
&lt;br /&gt;
'''User editable for variables:''' Class, Identifier, Title, Units, Description, Definition, Domain, MetaIndex, User-defined attributes&lt;br /&gt;
&lt;br /&gt;
'''User editable for Functions:''' Parameters&lt;br /&gt;
&lt;br /&gt;
'''User editable for Models, Modules, and Libraries:''' Author, Savedate, Filename&lt;br /&gt;
&lt;br /&gt;
'''Computed:''' Value, Probvalue, Inputs, Outputs  [add the rest]&lt;br /&gt;
&lt;br /&gt;
'''Internal:''' Diagwindow, ObjectWindow ..... [add the rest]&lt;br /&gt;
&lt;br /&gt;
'''System variables:''' Run, Time,''' '''[[AnalyticaLicenseInfo]], [[GetProcessInfo]], [[GetRegistryValue]], [[MemoryInUseBy]]&lt;br /&gt;
&lt;br /&gt;
== Function parameter qualifiers ==&lt;br /&gt;
'''Type:''' [[Boolean]], [[Integer]], Index, Variable, Handle&lt;br /&gt;
&lt;br /&gt;
'''Number of parameters:''' Optional, Repeated&lt;br /&gt;
&lt;br /&gt;
'''Array qualifiers:''' Scalar, Vector, Array&lt;br /&gt;
&lt;br /&gt;
[Add all qualifiers and links to them]&lt;br /&gt;
&lt;br /&gt;
== Functions still to be categorized ==&lt;br /&gt;
&lt;br /&gt;
[[Frequency]]&lt;br /&gt;
&lt;br /&gt;
=== Functions libraries ===&lt;br /&gt;
[[media:GCD function library.ana {{!}}'''GCD function library.ana''']]''':''' [[GCD]]&lt;br /&gt;
&lt;br /&gt;
'''Optimization Functions.ana:''' [[GoalSeek]], [[Gradient]]&lt;br /&gt;
&lt;br /&gt;
'''Financial library.ana:''' [[Implied_volatility_c]], [[Implied_volatility_p]] &lt;br /&gt;
&lt;br /&gt;
'''ODBC Library.ana:''' [[InsertRecSql]], &lt;br /&gt;
&lt;br /&gt;
'''Generalized Regression.ana:''' [[InvLogit]], [[Logistic_Regression]], [[Logit]]&lt;br /&gt;
&lt;br /&gt;
'''Linked List Library.ana:''' [[LL_First]], [[LL_Length]], [[LL_Nth]], [[LL_Push]], [[LL_Remove_First]], [[LL_To_Array]], [[LL_to_RArray]]&lt;br /&gt;
&lt;br /&gt;
=== Obsolete optimizer functions: [Move to a separate page of obsolete functions]  ===&lt;br /&gt;
[[LpDefine]], [[LpFindIIS]], [[LpObjSa]], [[LpOpt]], [[LpRead]], [[LpReducedCost]], [[LpRhsSa]], [[LpShadow]], [[LpSlack]], [[LpSolution]], [[LpStatusNum]], [[LpStatusText]], [[LpWrite]], [[LpWriteIIS]], [[NlpDefine]]&lt;br /&gt;
&lt;br /&gt;
=== Other deprecated functions ===&lt;br /&gt;
[[Join]]&lt;br /&gt;
&amp;lt;/columns&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Functions_by_category&amp;diff=40263</id>
		<title>Functions by category</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Functions_by_category&amp;diff=40263"/>
		<updated>2016-01-29T00:35:19Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* Attributes */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Function list (to be categorized)&lt;br /&gt;
&lt;br /&gt;
[[Category:Functions]]&lt;br /&gt;
(Back to [[Analytica Reference]])&lt;br /&gt;
&lt;br /&gt;
See also: [[:Category:Functions|functions by category]].&lt;br /&gt;
[[Functions to be organized]]&lt;br /&gt;
[[Rare and deprecated functions]]&lt;br /&gt;
&lt;br /&gt;
== Language, control, and syntax ==&lt;br /&gt;
'''[[Operators]]: '''[[Operators|Arithmetic: + - * / ^]]  [[Comparison Operators|Comparison]]: =  &amp;lt;  &amp;gt;  &amp;lt;&amp;gt;  &amp;lt;=  &amp;gt;=  [[Logical Operators|Logical]]:  [[And]], [[Or]], [[Not]]; [[Text Concatenation Operator: &amp;amp;|Text concatenation]]: &amp;amp;; [[Subscript/Slice Operator|Subscript and slice:  x[I=x], x[@I=x] ]], [[Assignment Operator :=|Assignment :=]], [[Reference Operator::\|Reference \]], [[Dereference Operator|Dereference #]], &lt;br /&gt;
&lt;br /&gt;
'''Conditional constructs:''' [[If-Then-Else]], [[Ifall-Then-Else]], [[Ifonly-Then-Else]], [[If0]], [[Ifpos]]&lt;br /&gt;
&lt;br /&gt;
'''Loops:''' [[While..Do]], [[For..Do]]&lt;br /&gt;
&lt;br /&gt;
'''Grouped expressions:'''  [[Begin-End for Grouping Expressions|(expr; expr)]],  [[Begin-End for Grouping Expressions|BEGIN expr; expr END]]&lt;br /&gt;
&lt;br /&gt;
'''Comments:''' { commented text }&lt;br /&gt;
&lt;br /&gt;
'''Local variables:'''  [[Var..Do|VAR x]], [[Index..Do|Index i]];  [[MetaVar |MetaVar v]]; [[MetaIndex |MetaIndex i]]; [[Alias..Do|Alias a]], [[Local Index Operator::A.I]] &lt;br /&gt;
&lt;br /&gt;
==Mathematics==&lt;br /&gt;
'''Basic math:''' [[Abs]], [[Sign]], [[Mod]], [[Round]], [[Ceil]], [[Floor]], [[Sqr]], [[Sqrt]], [[Exp]], [[Ln]], [[LogTen]], [[Factorial]], [[Degrees]], [[Radians]]&lt;br /&gt;
&lt;br /&gt;
'''Trigonometry: '''[[Trig Functions| Sin, Cos, Tan]][[Trig Functions| Sinh, Cosh, Tanh]]; [[ArcSin]], [[ArcCos]], [[ArcTan]], [[ArcTan2]]; [[ArcSinH]],  [[ArcCosH]], [[ArcTanH]]&lt;br /&gt;
&lt;br /&gt;
'''[[Set Functions|Set functions]]: '''[[SetContains]], [[SetDifference]], [[SetEvaluationFlag]], [[SetIntersection]], [[SetUnion]]&lt;br /&gt;
&lt;br /&gt;
'''[[Complex Numbers|Complex numbers]]:''' [[RealPart]], [[ImPart]], [[ComplexDegrees]], [[ComplexRadians]], [[Conj]]&lt;br /&gt;
&lt;br /&gt;
==Statistics and Probability distributions==&lt;br /&gt;
'''[[Statistics]]: '''[[Median]], [[Mean]],  [[SDeviation]], [[Variance]], [[Skewness]], [[Kurtosis]], [[Statistics]], [[Probability]], [[GetFract]],  [[ProbBands]], [[Correlation]], [[RankCorrel]], [[Regression]], [[Cdf]],  [[Pdf]]&lt;br /&gt;
&lt;br /&gt;
'''Custom distributions: '''[[CumDist]], [[Fractiles]], [[ChanceDist]], [[ProbDist]], [[ProbTable]], [[Random]]&lt;br /&gt;
&lt;br /&gt;
'''Discrete distributions: '''[[Bernoulli]], [[Binomial]], [[NegativeBinomial]], [[Combinations]],  [[Permutations]], [[Geometric]], [[HyperGeometric]], [[Certain]]&lt;br /&gt;
&lt;br /&gt;
'''Continuous distribution functions: '''[[Uniform]], [[Normal]], [[LogNormal]], [[Beta]], [[Triangular]], [[Poisson]], [[Exponential]], [[Gamma]], [[StudentT]], [[Weibull]], [[Wilcoxon]], [[Logistic]], [[BesselJ]], [[BesselY]], [[BesselI]], [[BesselK]], [[ChiSquared]]&lt;br /&gt;
&lt;br /&gt;
'''Modifying distributions: ''' [[Mid]], [[Sample]],  [[Truncate]], [[Shuffle]]&lt;br /&gt;
&lt;br /&gt;
'''Functions for distributions: '''[[ProbWilcoxon]], [[CumWilcoxon]], [[CumWilcoxonInv]], [[BetaI]], [[BetaIInv]], [[GammaI]], [[GammaIInv]], [[CumNormal]], [[CumNormalInv]]&lt;br /&gt;
&lt;br /&gt;
'''SIPs and SLURPs: '''[[SipDecode]], [[SipEncode]]&lt;br /&gt;
&lt;br /&gt;
'''Distributions from function libraries'''&lt;br /&gt;
&lt;br /&gt;
'''Distribution Variations.ana:''' [[Gamma_m_sd|Gamma_m_sd]], [[GammaFn]], [[GammaI]], [[GammaIInv]], [[InverseGaussian]], [[InvertedWishart]], [[Lorenzian]], [[NegBinomial]]&lt;br /&gt;
&lt;br /&gt;
'''Multivariate Distributions.ana: '''[[Gaussian]], [[Multinomial]], [[MultiNormal]], [[MultiUniform]], [[Normal_additive_gro]], [[Normal_compound_gro]], [[Normal_correl]], [[Normal_serial_correl]]&lt;br /&gt;
&lt;br /&gt;
'''Distribution Densities.ana:''' [[LDens_InvertedWishart]], [[LDens_Wishart]], [[LGamma]]&lt;br /&gt;
&lt;br /&gt;
=== Other types of data ===&lt;br /&gt;
'''[[Date and Time Values|Date and Time]]:'''[[Date_Functions#MakeDate.28year.2C_month.2C_day.29| MakeDate]], [[DateAdd]], [[DatePart]], [[Today]], [[ParseDate]], [[IsDateTime]]&lt;br /&gt;
&lt;br /&gt;
[[Text values|'''Text''']]''': '''[[SelectText]],  [[FindInText]], [[TextReplace]], [[SplitText]], [[JoinText]], [[Text Concatenation Operator: &amp;amp;|Text Concatenation: t1&amp;amp;&amp;lt;nowiki/&amp;gt;t2]], [[TextLength]], [[TextLowerCase]], [[TextUpperCase]], [[TextSentenceCase]], [[TextTrim]]&lt;br /&gt;
&lt;br /&gt;
'''[[:Category:Financial Functions|Financial]]''': [[Pv]], [[Fv]], [[Npv]], [[XNpv]], [[Rate]], [[NPer]], [[Pmt]], [[PPmt]], [[IPmt]], [[CumIPmt]], [[Irr]], [[XIrr]]&amp;lt;nowiki/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Array functions ===&lt;br /&gt;
'''Make an Index: '''[[Sequence]],  [[Sequence Operator|Sequence Operator: first..last]], [[SortIndex]], [[SplitText]], [[SubIndex]], [[Subset]], [[Unique]]&lt;br /&gt;
&lt;br /&gt;
'''[[:Category:Array-reducing functions|Array reducing]]: '''[[Sum]], [[Product]], [[Average]],[[Functions_Min_and_Max| Max]] [[Functions_Min_and_Max| Min]], [[ArgMin_and_ArgMax]], [[JoinText]], [[Functions_Min_and_Max| Condmax]], [[Functions_Min_and_Max| Condmin]], [[Area]]&lt;br /&gt;
&lt;br /&gt;
'''Subscript, selection, lookup: '''[[Slice]], [[Subscript]],  [[Subscript/Slice Operator|Slice Operator: [@I=n]]], [[StepInterp]]&lt;br /&gt;
&lt;br /&gt;
'''Array mapping: '''[[Cumulate]], [[Uncumulate]], [[CumProduct]], [[Normalize]], [[Integrate]], [[Rank]], [[Sort]], [[Aggregate]]&lt;br /&gt;
&lt;br /&gt;
'''Tables and functions to make arrays: '''[[Array]], [[Table]], [[SubTable]], [[MultiTable]], [[DetermTable]], [[ProbTable]], [[AddIndex]]&lt;br /&gt;
&lt;br /&gt;
'''Interpolation: '''[[StepInterp]], [[LinearInterp]], [[CubicInterp]], [[MonoCubicInterp]]&lt;br /&gt;
&lt;br /&gt;
'''Matrix: '''[[MatrixMultiply]], [[Transpose]], [[Invert]], [[Determinant]], [[Decompose]],  [[EigenDecomp]], [[SingularValueDecomp]]&lt;br /&gt;
&lt;br /&gt;
'''Information about arrays: '''[[Size]], [[IndexesOf]], [[IndexNames]], [[MemoryInUseBy]]&lt;br /&gt;
&lt;br /&gt;
'''Relational tables: '''[[MdTable]], [[MdArrayToTable]]&lt;br /&gt;
&lt;br /&gt;
'''Other array functions: '''[[Aggregate]]&lt;br /&gt;
&lt;br /&gt;
'''Sensitivity analysis:''' [[Dydx]], [[Elasticity]], [[WhatIf]], [[WhatIfAll]]'''&amp;lt;nowiki/&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
== User interaction and dialog ==&lt;br /&gt;
'''User input:''' [[Choice| Choice]], [[Checkbox]]&lt;br /&gt;
&lt;br /&gt;
'''Dialog boxes: '''[[MsgBox]], [[Error]], [[AskMsgText]], [[AskMsgChoice]], [[AskMsgNumber]], [[ShowProgressBar]]&lt;br /&gt;
&lt;br /&gt;
== Types and type conversion ==&lt;br /&gt;
'''Convert type: '''[[Chr]], [[Asc]], [[NumberToText]], [[ParseDate]], [[ParseNumber]]&lt;br /&gt;
&lt;br /&gt;
'''Get or test type:''' [[Data_Type_Functions#Function_TypeOf| TypeOf]], [[IsDateTime]], [[IsHandle]], [[Data_Type_Functions#Function_IsNaN| IsNaN]], [[IsNull]],[[Data_Type_Functions#Function_IsNumber| IsNumber]], [[IsRealNumber]],[[Data_Type_Functions#Function_IsReference| IsReference]],[[Data_Type_Functions#Function_IsText| IsText]], [[Data_Type_Functions#Function_IsUndef| IsUndef]], [[IsResultComputed]], [[Data_Type_Functions#Function_IsNotSpecified|IsNotSpecified]]&lt;br /&gt;
== Optimizer functions ==&lt;br /&gt;
DefineOptimization, [[OptInfo]], [[OptObjective]], [http://wiki.analytica.com/OptSolution OptSolution], [http://wiki.analytica.com/OptStatusNum OptStatusNum], [http://wiki.analytica.com/OptStatusText OptStatusText], [[OptEngineInfo]], [[GroupedInteger]], [[OptFindIIS]],[[OptWriteIIS]],  [[OptGuess]]&lt;br /&gt;
&lt;br /&gt;
[[OptObjectiveSa]], [[OptRead]], [[OptWrite]], [[OptReducedCost]], [[OptRhsSa]], [[OptScalarToConstraint]], [[OptScalarToDecision]], [[OptShadow]], [[OptSlack]]&lt;br /&gt;
== Integration with other applications ==&lt;br /&gt;
'''Reading and writing data: '''[[ReadFromUrl]], [[OpenURL]], [[ReadImageFile]], [[ReadTextFile]], [[WriteTextFile]], [[ShowPdfFile]]&lt;br /&gt;
&lt;br /&gt;
'''Spreadsheet access: '''[[SpreadsheetOpen]], [[SpreadsheetCell]], [[SpreadsheetRange]], [[SpreadsheetSetCell]], [[SpreadsheetSetRange]],[[SpreadsheetSave]],,  [[SpreadsheetInfo]], [[SpreadsheetSetInfo]]&lt;br /&gt;
&lt;br /&gt;
'''Database and ODBC access: '''[[SqlDriverInfo]], [[DbLabels]], [[DbQuery]], [[DbTable]], [[DbTablenames]], [[DbWrite]], [[MdxQuery]]&lt;br /&gt;
&lt;br /&gt;
'''[[COM Integration|COM API]]: '''[[COMArray]], [[COMCallMethod]], [[COMCreateObject]], [[COMGetProperty]]&lt;br /&gt;
&lt;br /&gt;
[[RunConsoleProcess]]&lt;br /&gt;
&lt;br /&gt;
=== Other functions ===&lt;br /&gt;
[[Dynamic]]&lt;br /&gt;
&lt;br /&gt;
'''[[Evaluation Modes|Evaluation]]:''' [[Mid]], [[Sample]], [[Evaluate]], [[EvaluateScript]], [[GetEvaluationContext]]&lt;br /&gt;
&lt;br /&gt;
'''Error handling:''' [[Error]], [[IgnoreWarnings]], [[Try]], [[ReThrow]]&lt;br /&gt;
&lt;br /&gt;
'''Miscellaneous: '''[[Discrete]], [[Dispatch]] &lt;br /&gt;
&lt;br /&gt;
[[Domain Expressions|'''Domain expressions''']]: [[Continuous]], [[Discrete]], [[Integer]], [[Boolean]] and [[Discrete]]&lt;br /&gt;
&lt;br /&gt;
'''[[Domain Access Functions]]: '''[[Domain Access Functions|DomainType, DomainType, DomainLowerBound, DomainUpperBound, DomainIntegerGroup]]&lt;br /&gt;
&lt;br /&gt;
[[Objects and meta-inference:|'''Objects and meta-inference:''']] [[ListOfHandles]], [[Dereference Operator::#|Dereference Operator: #R]] [[VarTerm Functions#Function_IndexesOf| IndexesOf]], [[IndexNames]], [[VarTerm Functions#Function_GetVariableByName| GetVariableByName]], [[IndexValue]], [[AttribGet]]&lt;br /&gt;
&lt;br /&gt;
=== Attributes ===&lt;br /&gt;
&lt;br /&gt;
'''User editable for variables:''' Class, Identifier, Title, Units, Description, Definition, Domain, MetaIndex, User-defined attributes&lt;br /&gt;
&lt;br /&gt;
'''User editable for Functions:''' Parameters&lt;br /&gt;
&lt;br /&gt;
'''User editable for Models, Modules, and Libraries:''' Author, Savedate, Filename&lt;br /&gt;
&lt;br /&gt;
'''Computed:''' Value, Probvalue, Inputs, Outputs  [add the rest]&lt;br /&gt;
&lt;br /&gt;
'''Internal:''' Diagwindow, ObjectWindow ..... [add the rest]&lt;br /&gt;
&lt;br /&gt;
=== Special ===&lt;br /&gt;
[[FunctionOf]]&lt;br /&gt;
&lt;br /&gt;
'''Environment information: '''[[AnalyticaLicenseInfo]], [[GetProcessInfo]], [[GetRegistryValue]], [[MemoryInUseBy]]&lt;br /&gt;
&lt;br /&gt;
== Function parameter qualifiers ==&lt;br /&gt;
'''Type:''' [[Boolean]], [[Integer]], Index, Variable, Handle&lt;br /&gt;
&lt;br /&gt;
'''Number of parameters:''' Optional, Repeated&lt;br /&gt;
&lt;br /&gt;
'''Array qualifiers:''' Scalar, Vector, Array&lt;br /&gt;
&lt;br /&gt;
[Add all qualifiers and links to them]&lt;br /&gt;
&lt;br /&gt;
== Functions still to be categorized ==&lt;br /&gt;
[[Erf]], [[ErfInv]]&lt;br /&gt;
&lt;br /&gt;
[[FFT]], [[FFTInv]]&lt;br /&gt;
&lt;br /&gt;
[[Frequency]]&lt;br /&gt;
&lt;br /&gt;
[[Iterate]], [[FindPolynomialZeroes]]&lt;br /&gt;
&lt;br /&gt;
=== Functions libraries ===&lt;br /&gt;
[[media:GCD function library.ana|'''GCD function library.ana''']]''':''' [[GCD]]&lt;br /&gt;
&lt;br /&gt;
'''Optimization Functions.ana:''' [[GoalSeek]], [[Gradient]]&lt;br /&gt;
&lt;br /&gt;
'''Financial library.ana:''' [[Implied_volatility_c]], [[Implied_volatility_p]] &lt;br /&gt;
&lt;br /&gt;
'''ODBC Library.ana:''' [[InsertRecSql]], &lt;br /&gt;
&lt;br /&gt;
'''Generalized Regression.ana:''' [[InvLogit]], [[Logistic_Regression]], [[Logit]]&lt;br /&gt;
&lt;br /&gt;
'''Linked List Library.ana:''' [[LL_First]], [[LL_Length]], [[LL_Nth]], [[LL_Push]], [[LL_Remove_First]], [[LL_To_Array]], [[LL_to_RArray]]&lt;br /&gt;
&lt;br /&gt;
=== Obsolete optimizer functions:  ===&lt;br /&gt;
[[LpDefine]], [[LpFindIIS]], [[LpObjSa]], [[LpOpt]], [[LpRead]], [[LpReducedCost]], [[LpRhsSa]], [[LpShadow]], [[LpSlack]], [[LpSolution]], [[LpStatusNum]], [[LpStatusText]], [[LpWrite]], [[LpWriteIIS]], [[NlpDefine]]&lt;br /&gt;
&lt;br /&gt;
=== Other deprecated functions ===&lt;br /&gt;
[[Join]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Functions_by_category&amp;diff=40262</id>
		<title>Functions by category</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Functions_by_category&amp;diff=40262"/>
		<updated>2016-01-29T00:15:21Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Function list (to be categorized)&lt;br /&gt;
&lt;br /&gt;
[[Category:Functions]]&lt;br /&gt;
(Back to [[Analytica Reference]])&lt;br /&gt;
&lt;br /&gt;
See also: [[:Category:Functions|functions by category]].&lt;br /&gt;
[[Functions to be organized]]&lt;br /&gt;
[[Rare and deprecated functions]]&lt;br /&gt;
&lt;br /&gt;
== Language, control, and syntax ==&lt;br /&gt;
'''[[Operators]]: '''[[Operators|Arithmetic: + - * / ^]]  [[Comparison Operators|Comparison]]: =  &amp;lt;  &amp;gt;  &amp;lt;&amp;gt;  &amp;lt;=  &amp;gt;=  [[Logical Operators|Logical]]:  [[And]], [[Or]], [[Not]]; [[Text Concatenation Operator: &amp;amp;|Text concatenation]]: &amp;amp;; [[Subscript/Slice Operator|Subscript and slice:  x[I=x], x[@I=x] ]], [[Assignment Operator :=|Assignment :=]], [[Reference Operator::\|Reference \]], [[Dereference Operator|Dereference #]], &lt;br /&gt;
&lt;br /&gt;
'''Conditional constructs:''' [[If-Then-Else]], [[Ifall-Then-Else]], [[Ifonly-Then-Else]], [[If0]], [[Ifpos]]&lt;br /&gt;
&lt;br /&gt;
'''Loops:''' [[While..Do]], [[For..Do]]&lt;br /&gt;
&lt;br /&gt;
'''Grouped expressions:'''  [[Begin-End for Grouping Expressions|(expr; expr)]],  [[Begin-End for Grouping Expressions|BEGIN expr; expr END]]&lt;br /&gt;
&lt;br /&gt;
'''Comments:''' { commented text }&lt;br /&gt;
&lt;br /&gt;
'''Local variables:'''  [[Var..Do|VAR x]], [[Index..Do|Index i]];  [[MetaVar |MetaVar v]]; [[MetaIndex |MetaIndex i]]; [[Alias..Do|Alias a]], [[Local Index Operator::A.I]] &lt;br /&gt;
&lt;br /&gt;
==Mathematics==&lt;br /&gt;
'''Basic math:''' [[Abs]], [[Sign]], [[Mod]], [[Round]], [[Ceil]], [[Floor]], [[Sqr]], [[Sqrt]], [[Exp]], [[Ln]], [[LogTen]], [[Factorial]], [[Degrees]], [[Radians]]&lt;br /&gt;
&lt;br /&gt;
'''Trigonometry: '''[[Trig Functions| Sin, Cos, Tan]][[Trig Functions| Sinh, Cosh, Tanh]]; [[ArcSin]], [[ArcCos]], [[ArcTan]], [[ArcTan2]]; [[ArcSinH]],  [[ArcCosH]], [[ArcTanH]]&lt;br /&gt;
&lt;br /&gt;
'''[[Set Functions|Set functions]]: '''[[SetContains]], [[SetDifference]], [[SetEvaluationFlag]], [[SetIntersection]], [[SetUnion]]&lt;br /&gt;
&lt;br /&gt;
'''[[Complex Numbers|Complex numbers]]:''' [[RealPart]], [[ImPart]], [[ComplexDegrees]], [[ComplexRadians]], [[Conj]]&lt;br /&gt;
&lt;br /&gt;
==Statistics and Probability distributions==&lt;br /&gt;
'''[[Statistics]]: '''[[Median]], [[Mean]],  [[SDeviation]], [[Variance]], [[Skewness]], [[Kurtosis]], [[Statistics]], [[Probability]], [[GetFract]],  [[ProbBands]], [[Correlation]], [[RankCorrel]], [[Regression]], [[Cdf]],  [[Pdf]]&lt;br /&gt;
&lt;br /&gt;
'''Custom distributions: '''[[CumDist]], [[Fractiles]], [[ChanceDist]], [[ProbDist]], [[ProbTable]], [[Random]]&lt;br /&gt;
&lt;br /&gt;
'''Discrete distributions: '''[[Bernoulli]], [[Binomial]], [[NegativeBinomial]], [[Combinations]],  [[Permutations]], [[Geometric]], [[HyperGeometric]], [[Certain]]&lt;br /&gt;
&lt;br /&gt;
'''Continuous distribution functions: '''[[Uniform]], [[Normal]], [[LogNormal]], [[Beta]], [[Triangular]], [[Poisson]], [[Exponential]], [[Gamma]], [[StudentT]], [[Weibull]], [[Wilcoxon]], [[Logistic]], [[BesselJ]], [[BesselY]], [[BesselI]], [[BesselK]], [[ChiSquared]]&lt;br /&gt;
&lt;br /&gt;
'''Modifying distributions: ''' [[Mid]], [[Sample]],  [[Truncate]], [[Shuffle]]&lt;br /&gt;
&lt;br /&gt;
'''Functions for distributions: '''[[ProbWilcoxon]], [[CumWilcoxon]], [[CumWilcoxonInv]], [[BetaI]], [[BetaIInv]], [[GammaI]], [[GammaIInv]], [[CumNormal]], [[CumNormalInv]]&lt;br /&gt;
&lt;br /&gt;
'''Distribution Variations.ana:''' [[Gamma_m_sd|Gamma_m_sd]], [[GammaFn]], [[GammaI]], [[GammaIInv]], [[InverseGaussian]], [[InvertedWishart]], [[Lorenzian]], [[NegBinomial]]&lt;br /&gt;
&lt;br /&gt;
'''Multivariate Distributions.ana: '''[[Gaussian]], [[Multinomial]], [[MultiNormal]], [[MultiUniform]], [[Normal_additive_gro]], [[Normal_compound_gro]], [[Normal_correl]], [[Normal_serial_correl]]&lt;br /&gt;
&lt;br /&gt;
'''Distribution Densities.ana:''' [[LDens_InvertedWishart]], [[LDens_Wishart]], [[LGamma]]&lt;br /&gt;
&lt;br /&gt;
'''SIPs and SLURPs: '''[[SipDecode]], [[SipEncode]]&lt;br /&gt;
&lt;br /&gt;
=== Other types of data ===&lt;br /&gt;
'''[[Date and Time Values|Date and Time]]:'''[[Date_Functions#MakeDate.28year.2C_month.2C_day.29| MakeDate]], [[DateAdd]], [[DatePart]], [[Today]], [[ParseDate]], [[IsDateTime]]&lt;br /&gt;
&lt;br /&gt;
[[Text values|'''Text''']]''': '''[[SelectText]],  [[FindInText]], [[TextReplace]], [[SplitText]], [[JoinText]], [[Text Concatenation Operator: &amp;amp;|Text Concatenation: t1&amp;amp;&amp;lt;nowiki/&amp;gt;t2]], [[TextLength]], [[TextLowerCase]], [[TextUpperCase]], [[TextSentenceCase]], [[TextTrim]]&lt;br /&gt;
&lt;br /&gt;
'''[[:Category:Financial Functions|Financial]]''': [[Pv]], [[Fv]], [[Npv]], [[XNpv]], [[Rate]], [[NPer]], [[Pmt]], [[PPmt]], [[IPmt]], [[CumIPmt]], [[Irr]], [[XIrr]]&amp;lt;nowiki/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Array functions ===&lt;br /&gt;
'''Make an Index: '''[[Sequence]],  [[Sequence Operator|Sequence Operator: first..last]], [[SortIndex]], [[SplitText]], [[SubIndex]], [[Subset]], [[Unique]]&lt;br /&gt;
&lt;br /&gt;
'''[[:Category:Array-reducing functions|Array reducing]]: '''[[Sum]], [[Product]], [[Average]],[[Functions_Min_and_Max| Max]] [[Functions_Min_and_Max| Min]], [[ArgMin_and_ArgMax]], [[JoinText]], [[Functions_Min_and_Max| Condmax]], [[Functions_Min_and_Max| Condmin]], [[Area]]&lt;br /&gt;
&lt;br /&gt;
'''Subscript, selection, lookup: '''[[Slice]], [[Subscript]],  [[Subscript/Slice Operator|Slice Operator: [@I=n]]], [[StepInterp]]&lt;br /&gt;
&lt;br /&gt;
'''Array mapping: '''[[Cumulate]], [[Uncumulate]], [[CumProduct]], [[Normalize]], [[Integrate]], [[Rank]], [[Sort]], [[Aggregate]]&lt;br /&gt;
&lt;br /&gt;
'''Tables and functions to make arrays: '''[[Array]], [[Table]], [[SubTable]], [[MultiTable]], [[DetermTable]], [[ProbTable]], [[AddIndex]]&lt;br /&gt;
&lt;br /&gt;
'''Interpolation: '''[[StepInterp]], [[LinearInterp]], [[CubicInterp]], [[MonoCubicInterp]]&lt;br /&gt;
&lt;br /&gt;
'''Matrix: '''[[MatrixMultiply]], [[Transpose]], [[Invert]], [[Determinant]], [[Decompose]],  [[EigenDecomp]], [[SingularValueDecomp]]&lt;br /&gt;
&lt;br /&gt;
'''Information about arrays: '''[[Size]], [[IndexesOf]], [[IndexNames]], [[MemoryInUseBy]]&lt;br /&gt;
&lt;br /&gt;
'''Relational tables: '''[[MdTable]], [[MdArrayToTable]]&lt;br /&gt;
&lt;br /&gt;
'''Other array functions: '''[[Aggregate]]&lt;br /&gt;
'''&lt;br /&gt;
&lt;br /&gt;
== User interaction and dialog ==&lt;br /&gt;
'''User input:''' [[Choice| Choice]], [[Checkbox]]&lt;br /&gt;
&lt;br /&gt;
'''Dialog boxes: '''[[MsgBox]], [[Error]], [[AskMsgText]], [[AskMsgChoice]], [[AskMsgNumber]], [[ShowProgressBar]]&lt;br /&gt;
&lt;br /&gt;
== Types and type conversion ==&lt;br /&gt;
'''Convert type: '''[[Chr]], [[Asc]], [[NumberToText]], [[ParseDate]], [[ParseNumber]]&lt;br /&gt;
&lt;br /&gt;
'''Get or test type:''' [[Data_Type_Functions#Function_TypeOf| TypeOf]], [[IsDateTime]], [[IsHandle]], [[Data_Type_Functions#Function_IsNaN| IsNaN]], [[IsNull]],[[Data_Type_Functions#Function_IsNumber| IsNumber]], [[IsRealNumber]],[[Data_Type_Functions#Function_IsReference| IsReference]],[[Data_Type_Functions#Function_IsText| IsText]], [[Data_Type_Functions#Function_IsUndef| IsUndef]], [[IsResultComputed]], [[Data_Type_Functions#Function_IsNotSpecified|IsNotSpecified]]&lt;br /&gt;
== Optimizer functions ==&lt;br /&gt;
DefineOptimization, [[OptInfo]], [[OptObjective]], [http://wiki.analytica.com/OptSolution OptSolution], [http://wiki.analytica.com/OptStatusNum OptStatusNum], [http://wiki.analytica.com/OptStatusText OptStatusText], [[OptEngineInfo]], [[GroupedInteger]], [[OptFindIIS]],[[OptWriteIIS]],  [[OptGuess]]&lt;br /&gt;
&lt;br /&gt;
[[OptObjectiveSa]], [[OptRead]], [[OptWrite]], [[OptReducedCost]], [[OptRhsSa]], [[OptScalarToConstraint]], [[OptScalarToDecision]], [[OptShadow]], [[OptSlack]]&lt;br /&gt;
== Integration with other applications ==&lt;br /&gt;
'''Reading and writing data: '''[[ReadFromUrl]], [[OpenURL]], [[ReadImageFile]], [[ReadTextFile]], [[WriteTextFile]], [[ShowPdfFile]]&lt;br /&gt;
&lt;br /&gt;
'''Spreadsheet access: '''[[SpreadsheetOpen]], [[SpreadsheetCell]], [[SpreadsheetRange]], [[SpreadsheetSetCell]], [[SpreadsheetSetRange]],[[SpreadsheetSave]],,  [[SpreadsheetInfo]], [[SpreadsheetSetInfo]]&lt;br /&gt;
&lt;br /&gt;
'''Database and ODBC access: '''[[SqlDriverInfo]], [[DbLabels]], [[DbQuery]], [[DbTable]], [[DbTablenames]], [[DbWrite]], [[MdxQuery]]&lt;br /&gt;
&lt;br /&gt;
'''[[COM Integration|COM API]]: '''[[COMArray]], [[COMCallMethod]], [[COMCreateObject]], [[COMGetProperty]]&lt;br /&gt;
&lt;br /&gt;
[[RunConsoleProcess]]&lt;br /&gt;
&lt;br /&gt;
=== Other functions ===&lt;br /&gt;
[[Dynamic]]&lt;br /&gt;
&lt;br /&gt;
'''[[Evaluation Modes|Evaluation]]:''' [[Mid]], [[Sample]], [[Evaluate]], [[EvaluateScript]], [[GetEvaluationContext]]&lt;br /&gt;
&lt;br /&gt;
'''Error handling:''' [[Error]], [[IgnoreWarnings]], [[Try]], [[ReThrow]]&lt;br /&gt;
&lt;br /&gt;
'''Miscellaneous: '''[[Discrete]], [[Dispatch]] &lt;br /&gt;
&lt;br /&gt;
[[Domain Expressions|'''Domain expressions''']]: [[Continuous]], [[Discrete]], [[Integer]], [[Boolean]] and [[Discrete]]&lt;br /&gt;
&lt;br /&gt;
'''[[Domain Access Functions]]: '''[[Domain Access Functions|DomainType, DomainType, DomainLowerBound, DomainUpperBound, DomainIntegerGroup]]&lt;br /&gt;
&lt;br /&gt;
[[Objects and meta-inference:|'''Objects and meta-inference:''']] [[ListOfHandles]], [[Dereference Operator::#|Dereference Operator: #R]] [[VarTerm Functions#Function_IndexesOf| IndexesOf]], [[IndexNames]], [[VarTerm Functions#Function_GetVariableByName| GetVariableByName]], [[IndexValue]], [[AttribGet]]&lt;br /&gt;
&lt;br /&gt;
=== Attributes ===&lt;br /&gt;
&lt;br /&gt;
'''User modifiable attributes for Variables:''' Class, Identifier, Title, Units, Description, Definition, Domain, MetaIndex, User-defined attributes&lt;br /&gt;
&lt;br /&gt;
'''User modifiable attributes for Functions:''' Parameters&lt;br /&gt;
&lt;br /&gt;
'''User modifiable attributes for Models, Modules, and Libraries:''' Author, Savedate, Filename&lt;br /&gt;
&lt;br /&gt;
'''Computed attributes:''' Value, Probvalue, Inputs, Outputs  [add the rest]&lt;br /&gt;
&lt;br /&gt;
'''Internal attributes:''' Diagwindow, ObjectWindow ..... [add the rest]&lt;br /&gt;
&lt;br /&gt;
'''Sensitivity analysis:''' [[Dydx]], [[Elasticity]], [[WhatIf]], [[WhatIfAll]]&lt;br /&gt;
&lt;br /&gt;
=== Special ===&lt;br /&gt;
[[FunctionOf]]&lt;br /&gt;
&lt;br /&gt;
'''Environment information: '''[[AnalyticaLicenseInfo]], [[GetProcessInfo]], [[GetRegistryValue]], [[MemoryInUseBy]]&lt;br /&gt;
&lt;br /&gt;
== Function parameter qualifiers ==&lt;br /&gt;
'''Type:''' [[Boolean]], [[Integer]], Index, Variable, Handle&lt;br /&gt;
&lt;br /&gt;
'''Number of parameters:''' Optional, Repeated&lt;br /&gt;
&lt;br /&gt;
'''Array qualifiers:''' Scalar, Vector, Array&lt;br /&gt;
&lt;br /&gt;
[Add all qualifiers and links to them]&lt;br /&gt;
&lt;br /&gt;
== Functions still to be categorized ==&lt;br /&gt;
[[Erf]], [[ErfInv]]&lt;br /&gt;
&lt;br /&gt;
[[FFT]], [[FFTInv]]&lt;br /&gt;
&lt;br /&gt;
[[Frequency]]&lt;br /&gt;
&lt;br /&gt;
[[Iterate]], [[FindPolynomialZeroes]]&lt;br /&gt;
&lt;br /&gt;
=== Functions libraries ===&lt;br /&gt;
[[media:GCD function library.ana|'''GCD function library.ana''']]''':''' [[GCD]]&lt;br /&gt;
&lt;br /&gt;
'''Optimization Functions.ana:''' [[GoalSeek]], [[Gradient]]&lt;br /&gt;
&lt;br /&gt;
'''Financial library.ana:''' [[Implied_volatility_c]], [[Implied_volatility_p]] &lt;br /&gt;
&lt;br /&gt;
'''ODBC Library.ana:''' [[InsertRecSql]], &lt;br /&gt;
&lt;br /&gt;
'''Generalized Regression.ana:''' [[InvLogit]], [[Logistic_Regression]], [[Logit]]&lt;br /&gt;
&lt;br /&gt;
'''Linked List Library.ana:''' [[LL_First]], [[LL_Length]], [[LL_Nth]], [[LL_Push]], [[LL_Remove_First]], [[LL_To_Array]], [[LL_to_RArray]]&lt;br /&gt;
&lt;br /&gt;
=== Obsolete optimizer functions:  ===&lt;br /&gt;
[[LpDefine]], [[LpFindIIS]], [[LpObjSa]], [[LpOpt]], [[LpRead]], [[LpReducedCost]], [[LpRhsSa]], [[LpShadow]], [[LpSlack]], [[LpSolution]], [[LpStatusNum]], [[LpStatusText]], [[LpWrite]], [[LpWriteIIS]], [[NlpDefine]]&lt;br /&gt;
&lt;br /&gt;
=== Other deprecated functions ===&lt;br /&gt;
[[Join]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Wiki_Categories&amp;diff=40136</id>
		<title>Wiki Categories</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Wiki_Categories&amp;diff=40136"/>
		<updated>2016-01-27T23:33:24Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==ADE==&lt;br /&gt;
* [[:Category:ADE Classes|ADE Classes‏‎]] (21 members)&lt;br /&gt;
* [[:Category:ADE Methods and Properties|ADE Methods and Properties]]‏‎ (9 members)&lt;br /&gt;
&lt;br /&gt;
==Analytica==&lt;br /&gt;
* [[:Category:Analytica Windows and Dialogs|Analytica Windows and Dialogs]]‏‎ (24 members) &lt;br /&gt;
** [[:Category:Windows and dialogs|Windows and dialogs]]‏‎ (14 members)&lt;br /&gt;
* [[:Category:Concepts|Concepts‏‎]] (37 members)&lt;br /&gt;
* [[:Category:Styles and options|Styles and options]]‏‎ (3 members)&lt;br /&gt;
&lt;br /&gt;
==== Procedural Programming ====&lt;br /&gt;
* [[:Category:Attributes|Attributes‏‎]] (49 members)&lt;br /&gt;
* [[:Category:Operators|Operators‏‎]] (17 members)&lt;br /&gt;
* [[:Category:System Variables|System Variables]]‏‎ (19 members)&lt;br /&gt;
&lt;br /&gt;
==Manuals and Documents==&lt;br /&gt;
* [[Analytica Optimizer Guide‏‎]] (32 members)&lt;br /&gt;
* [[Analytica Tutorial]]‏‎ (12 members)&lt;br /&gt;
* [[Analytica User Guide‏‎]] (226 members)&lt;br /&gt;
* [[ADE User Guide]]‏‎ (344 members)&lt;br /&gt;
** [[ADE User Guide/zh‏‎]] (4 members)&lt;br /&gt;
&lt;br /&gt;
== Functions ==&lt;br /&gt;
* [[:Category:Functions|Functions]]‏‎ (23 members)&lt;br /&gt;
&lt;br /&gt;
* [[:Category:Bit functions|Bit functions‏‎]] (6 members)&lt;br /&gt;
* [[:Category:Date and Time Functions|Date and Time Functions]]‏‎ (12 members)&lt;br /&gt;
* [[:Category:Evaluation Functions|Evaluation Functions]]‏‎ (26 members)&lt;br /&gt;
* [[:Category:Financial Functions|Financial Functions‏‎]] (18 members)&lt;br /&gt;
* [[:Category:Internal Functions|Internal Functions]]‏‎ (3 members)&lt;br /&gt;
* [[:Category:Interpolation functions|Interpolation functions‏‎]] (5 members)&lt;br /&gt;
* [[:Category:Math Functions|Math Functions]]‏‎ (69 members)&lt;br /&gt;
** [[:Category:Functions that operate on complex numbers|Functions that operate on complex numbers‏‎]] (15 members)&lt;br /&gt;
* [[:Category:Matrix Functions|Matrix Functions]]‏‎ (7 members)&lt;br /&gt;
* [[:Category:Meta-Inference Functions|Meta-Inference Functions‏‎]] (12 members)&lt;br /&gt;
** [[:Category:Domain Access Functions|Domain Access Functions]]‏‎ (6 members)&lt;br /&gt;
** [[:Category:Domain Specification Functions|Domain Specification Functions‏‎]] (5 members)&lt;br /&gt;
* [[:Category:Set Functions|Set Functions]]‏‎ (6 members)&lt;br /&gt;
* [[:Category:Sorting Functions|Sorting Functions‏‎]] (3 members)&lt;br /&gt;
* [[:Category:Special Functions|Special Functions‏‎]] (7 members)&lt;br /&gt;
* [[:Category:Statistical Functions|Statistical Functions]]‏‎ (23 members)&lt;br /&gt;
** [[:Category:Data Analysis Functions|Data Analysis Functions]]‏‎ (9 members)&lt;br /&gt;
* [[:Category:System Functions|System Functions]]‏‎ (13 members)&lt;br /&gt;
* [[:Category:Table functions|Table functions]]‏‎ (6 members)&lt;br /&gt;
* [[:Category:Text Functions|Text Functions‏‎]] (17 members)&lt;br /&gt;
* [[:Category:Top level functions|Top level functions‏‎]] (12 members)&lt;br /&gt;
* [[:Category:Transforming functions|Transforming functions]]‏‎ (9 members)&lt;br /&gt;
* [[:Category:User-interface functions|User-interface functions]]‏‎ (18 members)&lt;br /&gt;
&lt;br /&gt;
==== Array Functions ====&lt;br /&gt;
* [[:Category:Array-reducing functions|Array-reducing functions‏‎]] (14 members)&lt;br /&gt;
* [[:Category:Array Flattening Functions|Array Flattening Functions‏‎]] (4 members)&lt;br /&gt;
** [[Array Flattening Functions, Array functions, Relational tables‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Array Library|Array Library]]‏‎ (13 members)&lt;br /&gt;
** [[:Category:Array Functions|Array Functions]]‏‎ (18 members)&lt;br /&gt;
** [[Array functions‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Functions returning information about arrays|Functions returning information about arrays]]‏‎ (3 members)&lt;br /&gt;
* [[:Category:Functions that create arrays‏‎|Functions that create arrays‏‎]] (6 members)&lt;br /&gt;
* [[:Category:Functions that create lists|Functions that create lists]]‏‎ (11 members)&lt;br /&gt;
* [[:Category:Functions that select part of an array|Functions that select part of an array‏‎]] (6 members)&lt;br /&gt;
&lt;br /&gt;
==== Data Functions ====&lt;br /&gt;
* [[:Category:Data Type Functions|Data Type Functions‏‎]] (22 members)&lt;br /&gt;
&lt;br /&gt;
==== Database/COM Functions ====&lt;br /&gt;
* [[:Category:Database Functions|Database Functions‏‎]] (26 members)&lt;br /&gt;
* [[:Category:Integration Functions|Integration Functions]]‏‎ (9 members)&lt;br /&gt;
&lt;br /&gt;
==== Distribution Functions ====&lt;br /&gt;
* [[Distribution Library‏‎]] (1 member)&lt;br /&gt;
** [[:Category:Distribution Functions|Distribution Functions]]‏‎ (43 members)&lt;br /&gt;
** [[:Category:Analytic Distribution Functions|Analytic Distribution Functions‏‎]] (58 members)&lt;br /&gt;
** [[Analytica Distribution Functions‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Multivariate Distribution Functions|Multivariate Distribution Functions‏‎]] (21 members)&lt;br /&gt;
&lt;br /&gt;
====Optimization Functions====&lt;br /&gt;
* [[:Category:Optimization Functions|Optimization Functions‏‎]] (19 members)&lt;br /&gt;
* [[:Category:Deprecated Optimization Functions|Deprecated Optimization Functions‏‎]] (13 members)&lt;br /&gt;
&lt;br /&gt;
== Commands ==&lt;br /&gt;
* [[:Category:Deprecated Commands|Deprecated Commands‏‎]] (36 members)&lt;br /&gt;
* [[:Category:File Commands|File Commands‏‎]] (17 members)&lt;br /&gt;
* [[:Category:Inspection Commands|Inspection Commands]]‏‎ (14 members)&lt;br /&gt;
* [[:Category:Object Manipulation Commands|Object Manipulation Commands‏]]‎ (10 members)&lt;br /&gt;
* [[:Category:Typescript Commands|Typescript Commands]]‏‎ (48 members)&lt;br /&gt;
* [[:Category:User Interface Commands|User Interface Commands]]‏‎ (21 members) -- Most pages blank and are supposed to redirect to one page but don't seem to&lt;br /&gt;
&lt;br /&gt;
==Internal Use==&lt;br /&gt;
* [[:Category:Pages with broken file links|Pages with broken file links]]‏‎ (11 members)&lt;br /&gt;
&lt;br /&gt;
== Help ==&lt;br /&gt;
* [[:Category:Technical Support Questions|Technical Support Questions]]‏‎ (1 member)&lt;br /&gt;
&lt;br /&gt;
==Outdated==&lt;br /&gt;
* [[Ana:Status R]]‏‎ (1 member)&lt;br /&gt;
* [[Ana: Status L]]‏‎ (1 member)&lt;br /&gt;
* [[Ana: Status M]]‏‎ (5 members)&lt;br /&gt;
* [[Ana: Status R‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Doc Status C|Doc Status C]]‏‎ (182 members)&lt;br /&gt;
* [[:Category:Doc Status D|Doc Status D]]‏‎ (202 members)&lt;br /&gt;
* [[:Category:Status M|Status M]]‏‎ (1 member)&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Wiki_Categories&amp;diff=40130</id>
		<title>Wiki Categories</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Wiki_Categories&amp;diff=40130"/>
		<updated>2016-01-27T23:02:23Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* [[:Category:ADE Classes|ADE Classes‏‎]] (21 members)&lt;br /&gt;
* [[:Category:ADE Methods and Properties|ADE Methods and Properties]]‏‎ (9 members)&lt;br /&gt;
&lt;br /&gt;
* [[:Category:Analytica Windows and Dialogs|Analytica Windows and Dialogs]]‏‎ (24 members) &lt;br /&gt;
** [[:Category:Windows and dialogs|Windows and dialogs]]‏‎ (14 members)&lt;br /&gt;
* [[:Category:Attributes|Attributes‏‎]] (49 members)&lt;br /&gt;
* [[:Category:Bit functions|Bit functions‏‎]] (6 members)&lt;br /&gt;
* [[:Category:Concepts|Concepts‏‎]] (37 members)&lt;br /&gt;
* [[:Category:Operators|Operators‏‎]] (17 members)&lt;br /&gt;
* [[:Category:Pages with broken file links|Pages with broken file links]]‏‎ (11 members)&lt;br /&gt;
* [[:Category:Styles and options|Styles and options]]‏‎ (3 members)&lt;br /&gt;
* [[:Category:System Variables|System Variables]]‏‎ (19 members)&lt;br /&gt;
* [[:Category:Technical Support Questions|Technical Support Questions]]‏‎ (1 member)&lt;br /&gt;
&lt;br /&gt;
==Manuals and Documents==&lt;br /&gt;
* [[Analytica Optimizer Guide‏‎]] (32 members)&lt;br /&gt;
* [[Analytica Tutorial]]‏‎ (12 members)&lt;br /&gt;
* [[Analytica User Guide‏‎]] (226 members)&lt;br /&gt;
* [[ADE User Guide]]‏‎ (344 members)&lt;br /&gt;
* [[ADE User Guide/zh‏‎]] (4 members)&lt;br /&gt;
&lt;br /&gt;
== Functions ==&lt;br /&gt;
* [[:Category:Analytic Distribution Functions|Analytic Distribution Functions‏‎]] (58 members)&lt;br /&gt;
* [[Analytica Distribution Functions‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Array-reducing functions|Array-reducing functions‏‎]] (14 members)&lt;br /&gt;
* [[:Category:Array Flattening Functions|Array Flattening Functions‏‎]] (4 members)&lt;br /&gt;
* [[Array Flattening Functions, Array functions, Relational tables‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Array Functions|Array Functions]]‏‎ (18 members)&lt;br /&gt;
* [[:Category:Array Library|Array Library]]‏‎ (13 members)&lt;br /&gt;
* [[Array functions‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Data Analysis Functions|Data Analysis Functions]]‏‎ (9 members)&lt;br /&gt;
* [[:Category:Data Type Functions|Data Type Functions‏‎]] (22 members)&lt;br /&gt;
* [[:Category:Database Functions|Database Functions‏‎]] (26 members)&lt;br /&gt;
* [[:Category:Date and Time Functions|Date and Time Functions]]‏‎ (12 members)&lt;br /&gt;
&lt;br /&gt;
* [[:Category:Deprecated Optimization Functions|Deprecated Optimization Functions‏‎]] (13 members)&lt;br /&gt;
* [[:Category:Distribution Functions|Distribution Functions]]‏‎ (43 members)&lt;br /&gt;
* [[Distribution Library‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Domain Access Functions|Domain Access Functions]]‏‎ (6 members)&lt;br /&gt;
* [[:Category:Domain Specification Functions|Domain Specification Functions‏‎]] (5 members)&lt;br /&gt;
* [[:Category:Evaluation Functions|Evaluation Functions]]‏‎ (26 members)&lt;br /&gt;
* [[:Category:Financial Functions|Financial Functions‏‎]] (18 members)&lt;br /&gt;
* [[:Category:Functions|Functions]]‏‎ (23 members)&lt;br /&gt;
* [[:Category:Functions returning information about arrays|Functions returning information about arrays]]‏‎ (3 members)&lt;br /&gt;
* [[:Category:Functions that create arrays‏‎|Functions that create arrays‏‎]] (6 members)&lt;br /&gt;
* [[:Category:Functions that create lists|Functions that create lists]]‏‎ (11 members)&lt;br /&gt;
* [[:Category:Functions that operate on complex numbers|Functions that operate on complex numbers‏‎]] (15 members)&lt;br /&gt;
* [[:Category:Functions that select part of an array|Functions that select part of an array‏‎]] (6 members)&lt;br /&gt;
* [[:Category:Integration Functions|Integration Functions]]‏‎ (9 members)&lt;br /&gt;
* [[:Category:Internal Functions|Internal Functions]]‏‎ (3 members)&lt;br /&gt;
* [[:Category:Interpolation functions|Interpolation functions‏‎]] (5 members)&lt;br /&gt;
* [[:Category:Math Functions|Math Functions]]‏‎ (69 members)&lt;br /&gt;
* [[:Category:Matrix Functions|Matrix Functions]]‏‎ (7 members)&lt;br /&gt;
* [[:Category:Meta-Inference Functions|Meta-Inference Functions‏‎]] (12 members)&lt;br /&gt;
* [[:Category:Multivariate Distribution Functions|Multivariate Distribution Functions‏‎]] (21 members)&lt;br /&gt;
* [[:Category:Optimization Functions|Optimization Functions‏‎]] (19 members)&lt;br /&gt;
* [[:Category:Set Functions|Set Functions]]‏‎ (6 members)&lt;br /&gt;
* Sorting Functions‏‎ (3 members)&lt;br /&gt;
* Special Functions‏‎ (7 members)&lt;br /&gt;
* Statistical Functions‏‎ (23 members)&lt;br /&gt;
* System Functions‏‎ (13 members)&lt;br /&gt;
* Table functions‏‎ (6 members)&lt;br /&gt;
* Text Functions‏‎ (17 members)&lt;br /&gt;
* Top level functions‏‎ (12 members)&lt;br /&gt;
* Transforming functions‏‎ (9 members)&lt;br /&gt;
* [[:Category:User-interface functions|User-interface functions]]‏‎ (18 members)&lt;br /&gt;
&lt;br /&gt;
== Commands ==&lt;br /&gt;
* [[:Category:Deprecated Commands|Deprecated Commands‏‎]] (36 members)&lt;br /&gt;
* [[:Category:File Commands|File Commands‏‎]] (17 members)&lt;br /&gt;
* [[:Category:Inspection Commands|Inspection Commands]]‏‎ (14 members)&lt;br /&gt;
* [[:Category:Object Manipulation Commands|Object Manipulation Commands‏]]‎ (10 members)&lt;br /&gt;
&lt;br /&gt;
* [[:Category:Typescript Commands|Typescript Commands]]‏‎ (48 members)&lt;br /&gt;
* [[:Category:User Interface Commands|User Interface Commands]]‏‎ (21 members) -- Most pages blank and are supposed to redirect to one page but don't seem to&lt;br /&gt;
&lt;br /&gt;
==Outdated==&lt;br /&gt;
* [[Ana:Status R]]‏‎ (1 member)&lt;br /&gt;
* [[Ana: Status L]]‏‎ (1 member)&lt;br /&gt;
* [[Ana: Status M]]‏‎ (5 members)&lt;br /&gt;
* [[Ana: Status R‏‎]] (1 member)&lt;br /&gt;
* Doc Status C‏‎ (182 members)&lt;br /&gt;
* Doc Status D‏‎ (202 members)&lt;br /&gt;
* Status M‏‎ (1 member)&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Wiki_Categories&amp;diff=40124</id>
		<title>Wiki Categories</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Wiki_Categories&amp;diff=40124"/>
		<updated>2016-01-27T22:01:46Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* [[:Category:ADE Classes|ADE Classes‏‎]] (21 members)&lt;br /&gt;
* [[:Category:ADE Methods and Properties|ADE Methods and Properties]]‏‎ (9 members)&lt;br /&gt;
&lt;br /&gt;
* [[:Category:Analytica Windows and Dialogs|Analytica Windows and Dialogs]]‏‎ (24 members)&lt;br /&gt;
* [[:Category:Attributes|Attributes‏‎]] (49 members)&lt;br /&gt;
* [[:Category:Bit functions|Bit functions‏‎]] (6 members)&lt;br /&gt;
* [[:Category:Concepts|Concepts‏‎]] (37 members)&lt;br /&gt;
* [[:Category:File Commands|File Commands‏‎]] (17 members)&lt;br /&gt;
* [[:Category:Inspection Commands|Inspection Commands]]‏‎ (14 members)&lt;br /&gt;
* [[:Category:Object Manipulation Commands|Object Manipulation Commands‏]]‎ (10 members)&lt;br /&gt;
* [[:Category:Operators|Operators‏‎]] (17 members)&lt;br /&gt;
* [[:Category:Pages with broken file links|Pages with broken file links]]‏‎ (11 members)&lt;br /&gt;
* [[:Category:Styles and options|Styles and options]]‏‎ (3 members)&lt;br /&gt;
* [[:Category:System Variables|System Variables]]‏‎ (19 members)&lt;br /&gt;
* [[:Category:Technical Support Questions|Technical Support Questions]]‏‎ (1 member)&lt;br /&gt;
* [[:Category:Typescript Commands|Typescript Commands]]‏‎ (48 members)&lt;br /&gt;
* [[:Category:User Interface Commands|User Interface Commands]]‏‎ (21 members)&lt;br /&gt;
* [[:Category:Windows and dialogs|Windows and dialogs]]‏‎ (14 members)&lt;br /&gt;
&lt;br /&gt;
==Manuals and Documents==&lt;br /&gt;
* [[Analytica Optimizer Guide‏‎]] (32 members)&lt;br /&gt;
* [[Analytica Tutorial]]‏‎ (12 members)&lt;br /&gt;
* [[Analytica User Guide‏‎]] (226 members)&lt;br /&gt;
* [[ADE User Guide]]‏‎ (344 members)&lt;br /&gt;
* [[ADE User Guide/zh‏‎]] (4 members)&lt;br /&gt;
&lt;br /&gt;
== Functions ==&lt;br /&gt;
* [[:Category:Analytic Distribution Functions|Analytic Distribution Functions‏‎]] (58 members)&lt;br /&gt;
* [[Analytica Distribution Functions‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Array-reducing functions|Array-reducing functions‏‎]] (14 members)&lt;br /&gt;
* [[:Category:Array Flattening Functions|Array Flattening Functions‏‎]] (4 members)&lt;br /&gt;
* [[Array Flattening Functions, Array functions, Relational tables‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Array Functions|Array Functions]]‏‎ (18 members)&lt;br /&gt;
* [[:Category:Array Library|Array Library]]‏‎ (13 members)&lt;br /&gt;
* [[Array functions‏‎]] (1 member)&lt;br /&gt;
* [[:Category:Data Analysis Functions|Data Analysis Functions]]‏‎ (9 members)&lt;br /&gt;
* [[:Category:Data Type Functions|Data Type Functions‏‎]] (22 members)&lt;br /&gt;
* [[:Category:Database Functions|Database Functions‏‎]] (26 members)&lt;br /&gt;
* Date and Time Functions‏‎ (12 members)&lt;br /&gt;
&lt;br /&gt;
* Deprecated Optimization Functions‏‎ (13 members)&lt;br /&gt;
* Distribution Functions‏‎ (43 members)&lt;br /&gt;
* Deprecated Commands‏‎ (36 members)&lt;br /&gt;
* Distribution Library‏‎ (1 member)&lt;br /&gt;
* Domain Access Functions‏‎ (6 members)&lt;br /&gt;
* Domain Specification Functions‏‎ (5 members)&lt;br /&gt;
* Evaluation Functions‏‎ (26 members)&lt;br /&gt;
* Financial Functions‏‎ (18 members)&lt;br /&gt;
* Functions‏‎ (23 members)&lt;br /&gt;
* Functions returning information about arrays‏‎ (3 members)&lt;br /&gt;
* Functions that create arrays‏‎ (6 members)&lt;br /&gt;
* Functions that create lists‏‎ (11 members)&lt;br /&gt;
* Functions that operate on complex numbers‏‎ (15 members)&lt;br /&gt;
* Functions that select part of an array‏‎ (6 members)&lt;br /&gt;
* Integration Functions‏‎ (9 members)&lt;br /&gt;
* Internal Functions‏‎ (3 members)&lt;br /&gt;
* Interpolation functions‏‎ (5 members)&lt;br /&gt;
* Math Functions‏‎ (69 members)&lt;br /&gt;
* Matrix Functions‏‎ (7 members)&lt;br /&gt;
* Meta-Inference Functions‏‎ (12 members)&lt;br /&gt;
* Multivariate Distribution Functions‏‎ (21 members)&lt;br /&gt;
* Optimization Functions‏‎ (19 members)&lt;br /&gt;
* Set Functions‏‎ (6 members)&lt;br /&gt;
* Sorting Functions‏‎ (3 members)&lt;br /&gt;
* Special Functions‏‎ (7 members)&lt;br /&gt;
* Statistical Functions‏‎ (23 members)&lt;br /&gt;
* System Functions‏‎ (13 members)&lt;br /&gt;
* Table functions‏‎ (6 members)&lt;br /&gt;
* Text Functions‏‎ (17 members)&lt;br /&gt;
* Top level functions‏‎ (12 members)&lt;br /&gt;
* Transforming functions‏‎ (9 members)&lt;br /&gt;
* User-interface functions‏‎ (18 members)&lt;br /&gt;
&lt;br /&gt;
==Outdated==&lt;br /&gt;
* [[Ana:Status R]]‏‎ (1 member)&lt;br /&gt;
* [[Ana: Status L]]‏‎ (1 member)&lt;br /&gt;
* [[Ana: Status M]]‏‎ (5 members)&lt;br /&gt;
* [[Ana: Status R‏‎]] (1 member)&lt;br /&gt;
* Doc Status C‏‎ (182 members)&lt;br /&gt;
* Doc Status D‏‎ (202 members)&lt;br /&gt;
* Status M‏‎ (1 member)&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Wiki_Categories&amp;diff=40119</id>
		<title>Wiki Categories</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Wiki_Categories&amp;diff=40119"/>
		<updated>2016-01-27T21:44:10Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: Created page with &amp;quot;* ADE Classes‏‎ (21 members) * ADE Methods and Properties‏‎ (9 members) * Analytic Distribution Functions‏‎ (58 members) * Analytica Distribution Fun...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* [[ADE Classes‏‎]] (21 members)&lt;br /&gt;
* [[ADE Methods and Properties]]‏‎ (9 members)&lt;br /&gt;
* [[Analytic Distribution Functions‏‎]] (58 members)&lt;br /&gt;
* [[Analytica Distribution Functions‏‎]] (1 member)&lt;br /&gt;
&lt;br /&gt;
* Analytica Windows and Dialogs‏‎ (24 members)&lt;br /&gt;
* Array-reducing functions‏‎ (14 members)&lt;br /&gt;
* Array Flattening Functions‏‎ (4 members)&lt;br /&gt;
* Array Flattening Functions, Array functions, Relational tables‏‎ (1 member)&lt;br /&gt;
* Array Functions‏‎ (18 members)&lt;br /&gt;
* Array Library‏‎ (13 members)&lt;br /&gt;
* Array functions‏‎ (1 member)&lt;br /&gt;
* Attributes‏‎ (49 members)&lt;br /&gt;
* Bit functions‏‎ (6 members)&lt;br /&gt;
* Concepts‏‎ (37 members)&lt;br /&gt;
* Data Analysis Functions‏‎ (9 members)&lt;br /&gt;
* Data Type Functions‏‎ (22 members)&lt;br /&gt;
* Database Functions‏‎ (26 members)&lt;br /&gt;
* Date and Time Functions‏‎ (12 members)&lt;br /&gt;
* Deprecated Commands‏‎ (36 members)&lt;br /&gt;
* Deprecated Optimization Functions‏‎ (13 members)&lt;br /&gt;
* Distribution Functions‏‎ (43 members)&lt;br /&gt;
* Distribution Library‏‎ (1 member)&lt;br /&gt;
* Doc Status C‏‎ (182 members)&lt;br /&gt;
* Doc Status D‏‎ (202 members)&lt;br /&gt;
* Domain Access Functions‏‎ (6 members)&lt;br /&gt;
* Domain Specification Functions‏‎ (5 members)&lt;br /&gt;
* Evaluation Functions‏‎ (26 members)&lt;br /&gt;
* File Commands‏‎ (17 members)&lt;br /&gt;
* Financial Functions‏‎ (18 members)&lt;br /&gt;
* Functions‏‎ (23 members)&lt;br /&gt;
* Functions returning information about arrays‏‎ (3 members)&lt;br /&gt;
* Functions that create arrays‏‎ (6 members)&lt;br /&gt;
* Functions that create lists‏‎ (11 members)&lt;br /&gt;
* Functions that operate on complex numbers‏‎ (15 members)&lt;br /&gt;
* Functions that select part of an array‏‎ (6 members)&lt;br /&gt;
* Inspection Commands‏‎ (14 members)&lt;br /&gt;
* Integration Functions‏‎ (9 members)&lt;br /&gt;
* Internal Functions‏‎ (3 members)&lt;br /&gt;
* Interpolation functions‏‎ (5 members)&lt;br /&gt;
* Math Functions‏‎ (69 members)&lt;br /&gt;
* Matrix Functions‏‎ (7 members)&lt;br /&gt;
* Meta-Inference Functions‏‎ (12 members)&lt;br /&gt;
* Multivariate Distribution Functions‏‎ (21 members)&lt;br /&gt;
* Object Manipulation Commands‏‎ (10 members)&lt;br /&gt;
* Operators‏‎ (17 members)&lt;br /&gt;
* Optimization Functions‏‎ (19 members)&lt;br /&gt;
* Pages with broken file links‏‎ (11 members)&lt;br /&gt;
* Set Functions‏‎ (6 members)&lt;br /&gt;
* Sorting Functions‏‎ (3 members)&lt;br /&gt;
* Special Functions‏‎ (7 members)&lt;br /&gt;
* Statistical Functions‏‎ (23 members)&lt;br /&gt;
* Status M‏‎ (1 member)&lt;br /&gt;
* Styles and options‏‎ (3 members)&lt;br /&gt;
* System Functions‏‎ (13 members)&lt;br /&gt;
* System Variables‏‎ (19 members)&lt;br /&gt;
* Table functions‏‎ (6 members)&lt;br /&gt;
* Technical Support Questions‏‎ (1 member)&lt;br /&gt;
* Text Functions‏‎ (17 members)&lt;br /&gt;
* Top level functions‏‎ (12 members)&lt;br /&gt;
* Transforming functions‏‎ (9 members)&lt;br /&gt;
* Typescript Commands‏‎ (48 members)&lt;br /&gt;
* User-interface functions‏‎ (18 members)&lt;br /&gt;
* User Interface Commands‏‎ (21 members)&lt;br /&gt;
* Windows and dialogs‏‎ (14 members)&lt;br /&gt;
&lt;br /&gt;
==Manuals and Documents==&lt;br /&gt;
* [[Analytica Optimizer Guide‏‎]] (32 members)&lt;br /&gt;
* [[Analytica Tutorial]]‏‎ (12 members)&lt;br /&gt;
* [[Analytica User Guide‏‎]] (226 members)&lt;br /&gt;
* [[ADE User Guide]]‏‎ (344 members)&lt;br /&gt;
* [[ADE User Guide/zh‏‎]] (4 members)&lt;br /&gt;
&lt;br /&gt;
==Outdated==&lt;br /&gt;
* [[Ana:Status R]]‏‎ (1 member)&lt;br /&gt;
* [[Ana: Status L]]‏‎ (1 member)&lt;br /&gt;
* [[Ana: Status M]]‏‎ (5 members)&lt;br /&gt;
* [[Ana: Status R‏‎]] (1 member)&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=User:Bbecane/Issues&amp;diff=39990</id>
		<title>User:Bbecane/Issues</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=User:Bbecane/Issues&amp;diff=39990"/>
		<updated>2016-01-27T00:39:33Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: added comments/Max+Karen reviewed first 13 items&lt;/p&gt;
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{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Issue&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
!Issue&lt;br /&gt;
!Location&lt;br /&gt;
!Date&lt;br /&gt;
Reported,&lt;br /&gt;
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ReportedBy&lt;br /&gt;
!Priority&lt;br /&gt;
!Action,&lt;br /&gt;
Comments&lt;br /&gt;
!Assigned&lt;br /&gt;
To&lt;br /&gt;
!Fix&lt;br /&gt;
Result&lt;br /&gt;
!Date&lt;br /&gt;
Fixed,&lt;br /&gt;
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FixedBy&lt;br /&gt;
!Test&lt;br /&gt;
Result&lt;br /&gt;
!Date&lt;br /&gt;
Tested,&lt;br /&gt;
&lt;br /&gt;
TestedBy&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;pink&amp;quot; |1&lt;br /&gt;
|Top-level of guides not easily accessible from other places on the Wiki&lt;br /&gt;
|&lt;br /&gt;
|12/30/15&lt;br /&gt;
BB&lt;br /&gt;
|&lt;br /&gt;
|Karen and Max to come up with new homepage redesign&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |2&lt;br /&gt;
|Hard to tell when you leave documents and are just in other places on the Wiki (only indicator is breadcrumbs)&lt;br /&gt;
|&lt;br /&gt;
|12/30/15&lt;br /&gt;
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BB&lt;br /&gt;
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|Add breadcrumbs to wiki function pages (top only, no need for the bottom (back/next) because the pages are not ordered&lt;br /&gt;
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|bgcolor=&amp;quot;palegreen&amp;quot; |3&lt;br /&gt;
|Users can't find new Tutorial page since searches lead directly to outdated page which links to 4.2 versions of Tutorial&lt;br /&gt;
|&lt;br /&gt;
|12/30/15&lt;br /&gt;
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BB&lt;br /&gt;
|Low&lt;br /&gt;
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|Deleted outdated page&lt;br /&gt;
|30 Dec 2015&lt;br /&gt;
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KL&lt;br /&gt;
|Confirmed&lt;br /&gt;
|1/10/16&lt;br /&gt;
BB&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;pink&amp;quot; |4&lt;br /&gt;
|Wiki home page has a complex structure, hard to find information fast&lt;br /&gt;
|&lt;br /&gt;
|12/30/15&lt;br /&gt;
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BB&lt;br /&gt;
|&lt;br /&gt;
|Simplify layout (See item #1)&lt;br /&gt;
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|Possible layout for the wiki home: [[User:Bbecane]]&lt;br /&gt;
|1/7/16&lt;br /&gt;
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BB&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |5&lt;br /&gt;
|Categories are in a long unordered list that cannot be easily navigated up or down&lt;br /&gt;
|&lt;br /&gt;
|1/13/16&lt;br /&gt;
BB&lt;br /&gt;
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|Organize categories into a hierarchical taxonomy&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |6&lt;br /&gt;
|Some functions are not included in the alphabetical function list&lt;br /&gt;
|[[Attrib of Obj]]&lt;br /&gt;
|1/13/16&lt;br /&gt;
BB&lt;br /&gt;
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|Max to work on [[Functions By Category|Functions by Category]]&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |7&lt;br /&gt;
|Renaming pages breaks existing links&lt;br /&gt;
|[[SpreadsheetCell]],&lt;br /&gt;
&lt;br /&gt;
[[Check]], [[Cdf]], [[CDF]], [[EvaluationTime]], [[Parameter types]], [[Parameters]], [[PDF]], [[ProbValue]], [[Script]], [[Value]],  [[WhatIfAll]], &lt;br /&gt;
|1/13/16;&lt;br /&gt;
updated 1/22/16&lt;br /&gt;
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BB&lt;br /&gt;
|&lt;br /&gt;
|Either fix the functionality of redirects, or fix broken links&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |8&lt;br /&gt;
|Some pages have no actual content&lt;br /&gt;
|[[CSqrt]], [[Excel to Analytica Mappings]],  [[InvLogit]], [[LL Length]], [[Lognormal m sd]], [[Parametric Analysis]], [[Transpose]],&lt;br /&gt;
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|1/13/16;&lt;br /&gt;
last updated 1/21/16&lt;br /&gt;
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|Add content from existing pages, e.g. User Guide (&amp;quot; combine functions&amp;quot;)&lt;br /&gt;
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Karen to review and sort pages that can be redirected vs pages that need new content&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |9&lt;br /&gt;
|Some pages have parts of content missing&lt;br /&gt;
|[[Excel to Analytica Mappings/Financial Functions]],  &lt;br /&gt;
[[Function Parameter Qualifiers#Deprecated Synonyms for Parameter Qualifiers]], [[Meta-Inference]],&lt;br /&gt;
[[The Analytica Domain Attribute]],&lt;br /&gt;
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|1/13/16;&lt;br /&gt;
last updated&lt;br /&gt;
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1/19/16&lt;br /&gt;
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BB&lt;br /&gt;
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|Add content from existing pages, e.g. User Guide (&amp;quot; combine functions&amp;quot;)&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |10&lt;br /&gt;
|Some pages contain red links&lt;br /&gt;
|[[Analytica.NET]], [[Array Abstraction]], [[Meta-Inference]]&lt;br /&gt;
|1/13/16;&lt;br /&gt;
last updated 1/19/16&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |11&lt;br /&gt;
|Some pages are missing for functions, system indexes, etc&lt;br /&gt;
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Alias, Any, Att_Showable (attribute), AWP, Bayesian, CallCOMObject, Chance (variable), CondMax, CondMin, ContextSamp, cycle, Declaration, DensityIndex, Determ, DisplayInputs, DisplayOutputs, Domain specification functions, Evaluation context, Evaluation mode, F distribution, First, FormNode, Hyperlinks in Descriptions, Index,  Inputs, IsIn, Last, Latin Hypercube (sampling), List-of-labels, LocalAlias, Markov, MetaVar, midValue, Monte Carlo (method), NLP, Non-linear optimization, Object, OptDimensions (attribute),  Outputs, Parametric analysis, Performance Profiler, Pict (attribute), .Possible_Values (index), Prob (mode), propagation of uncertainties, Root (function), Row (index),  SvdIndex, Special Functions (library), .Step (index), tableType, Uncertainty Settings (dialog), User-Defined Attribute, User Guide Examples, ValueState (attribute), Var,  Variable, VLookup, What-if analysis,&lt;br /&gt;
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|1/13/16;&lt;br /&gt;
last updated&lt;br /&gt;
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1/26/16&lt;br /&gt;
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BB&lt;br /&gt;
|&lt;br /&gt;
|In some cases, the functions/ concepts can be linked as sections of other pages (e.g. MetaVar as Metavar..Do), but this makes linking unnecessarily complicated and error-prone, it is easier to just create simple individual pages for those concepts&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |12&lt;br /&gt;
|Some (frequently linked) pages have very little content&lt;br /&gt;
|[[Array]], [[Certain]], [[Determinant]], [[Mid]], [[Sample]], [[SelectText]], [[TextLength]]&lt;br /&gt;
|1/13/16;&lt;br /&gt;
last updated 1/22/16&lt;br /&gt;
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BB&lt;br /&gt;
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|?Add content / combine functions, e.g.  [[Functions that create arrays]]&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |13&lt;br /&gt;
|Error message pages are missing categories&lt;br /&gt;
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|1/13/16&lt;br /&gt;
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|Scripting guide top breadcrumbs do not use current templates&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |15&lt;br /&gt;
|Some pages are missing links to function pages&lt;br /&gt;
|[[Functions By Category]]&lt;br /&gt;
|1/13/16&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |16&lt;br /&gt;
|Some pages link to earlier editions of Analytica &lt;br /&gt;
|[[Analytica User FAQs/Reference Materials and Additional Reading]], [[Using a Solver Add-on Engine]]&lt;br /&gt;
|1/13/16;&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |17&lt;br /&gt;
|Content on some pages has not been updated for 7-9 years&lt;br /&gt;
|[[Array Functions and Operators]], [[Enhancement Requests for Analytica]]&lt;br /&gt;
|1/13/16;&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |18&lt;br /&gt;
|There is no page for users to report bugs&lt;br /&gt;
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|1/13/16&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |19&lt;br /&gt;
|Some pages could be renamed, to increase their usefulness&lt;br /&gt;
|[[Analytica User Group]]&lt;br /&gt;
|1/13/16&lt;br /&gt;
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|Rename to 'Videos'?&lt;br /&gt;
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|Updated tutorial is not available in wiki format&lt;br /&gt;
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|1/13/16&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |21&lt;br /&gt;
|Some pages have references to older Analytica versions (4.0, 3.1, etc) &lt;br /&gt;
|&lt;br /&gt;
[[Array Functions and Operators]], [[CorrespondenceMethod]], [[DetermTable]], [[Expression Syntax]], [[Index..Do]],  [[OptStatusText]], [[OptStatusNum]], [[Table Splicing]]&lt;br /&gt;
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|1/13/16;&lt;br /&gt;
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1/25/16&lt;br /&gt;
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|This is related to but distinct from #16 above&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |22&lt;br /&gt;
|Some pages have notes to wiki editors, such as &amp;quot;ToDo lists&amp;quot; , &amp;quot;TBD&amp;quot; or &amp;quot;Needs editing&amp;quot; notes or comments (&amp;lt;nowiki&amp;gt;''&amp;lt;/nowiki&amp;gt;An example will be inserted here&amp;lt;nowiki&amp;gt;''&amp;lt;/nowiki&amp;gt;, &amp;quot;[Is there a way to switch them on?]&amp;quot;, &amp;quot;[MH: Please review changes below]&amp;quot;)&lt;br /&gt;
|[[Array Abstraction]], [[Cdf and Pdf Functions]], [[Configuring DCOM for remote invocation]], [[COM Integration]], [[Dynamic]], [[Function Parameter Qualifiers]], [[Iterate]], [[OnClick]], [[OptShadow]], [[OptStatusText]], [[ParseDate]],  [[Selective Parametric Analysis]], [[Self-Indexed Arrays]], [[User-Defined Functions]],&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |23&lt;br /&gt;
|Some pages have formatting typos that, e.g. result in half a page being in italics or code (missing closing quotes, broken code tags)&lt;br /&gt;
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|1/13/16&lt;br /&gt;
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|I have started to fix them when I see them (BB)&lt;br /&gt;
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|Some pages do not have correctly formatted tables&lt;br /&gt;
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|1/13/16&lt;br /&gt;
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|Some pages have links in section titles and code&lt;br /&gt;
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|Some pages have incorrect spacing in function signatures and/or code &lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |30&lt;br /&gt;
|Some page titles are not in Sentence case (All Words Have Capital Initials)&lt;br /&gt;
|Sections of the last chapters  in the user guide, others&lt;br /&gt;
|1/13/16&lt;br /&gt;
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|Comment: this is a problem because it hinders fast [[interlinking]] &lt;br /&gt;
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|Some pages mention function parameters that are not declared&lt;br /&gt;
|«domainObj» mentioned at [[GetFract]], &lt;br /&gt;
«indexSubpattern» at [[FindInText]]&lt;br /&gt;
|1/13/16&lt;br /&gt;
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|Comment: not clear what should be corrected -- declaration or discussion&lt;br /&gt;
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|Errors in subsection titles&lt;br /&gt;
|4.7, 4.8 in [[Statistical Functions and Importance Weighting]]&lt;br /&gt;
|1/15/16&lt;br /&gt;
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|?Remove parameter types&lt;br /&gt;
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|Possible error: range [-180,  180)&lt;br /&gt;
|[[ComplexDegrees]]&lt;br /&gt;
|1/18/16&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |34&lt;br /&gt;
|Some pages are not categorized&lt;br /&gt;
| [[Binary and hexadecimal integer formats]], [[Configuring DCOM for remote invocation]], [[Configuring Personalized Defaults]], [[EnableEvalContextUse]], [[INF, Nan, Zero and IEEE/SANE arithmetic]], [[Retrieving Content From the Web]], [[Using a Solver Add-on Engine]],&lt;br /&gt;
|1/20/16;&lt;br /&gt;
last updated 1/26/16&lt;br /&gt;
&lt;br /&gt;
BB&lt;br /&gt;
|&lt;br /&gt;
|No suitable categories seem to be available, would need to create new categories&lt;br /&gt;
|&lt;br /&gt;
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|-&lt;br /&gt;
|bgcolor=&amp;quot;pink&amp;quot; |35&lt;br /&gt;
|Reference to outdated processing power (512M RAM), memory or OS versions (Windows XP)&lt;br /&gt;
|[[Working Set Size]], [[Writing Array-Abstractable Definitions]]&lt;br /&gt;
|1/20/16;&lt;br /&gt;
last updated 1/25/16&lt;br /&gt;
&lt;br /&gt;
BB&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot; |36&lt;br /&gt;
|On many pages, it is not clear if the parameters mentioned in text are formal parameters or actual parameters&lt;br /&gt;
|E.g. [[SubTable]]&lt;br /&gt;
|1/21/16&lt;br /&gt;
&lt;br /&gt;
BB&lt;br /&gt;
|&lt;br /&gt;
|Both formal and actual parameters / variables are frequently named A, I, x etc. This makes it hard to distinguish between them and to apply different formatting («A» vs &amp;lt;code&amp;gt;A)&amp;lt;/code&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
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|-&lt;br /&gt;
|bgcolor=&amp;quot;pink&amp;quot;|37&lt;br /&gt;
|Sqrt / Root not assigned operator binding precedence&lt;br /&gt;
|[[Operators]]&lt;br /&gt;
|1/21/16&lt;br /&gt;
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|bgcolor=&amp;quot;pink&amp;quot;|38&lt;br /&gt;
|Tautology in the condition Size(i) &amp;gt;= Size(i)&lt;br /&gt;
|[[SingularValueDecomp]]&lt;br /&gt;
|1/21/16&lt;br /&gt;
&lt;br /&gt;
BB&lt;br /&gt;
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|One of the i's should be j&lt;br /&gt;
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|-&lt;br /&gt;
|bgcolor=&amp;quot;pink&amp;quot; |39&lt;br /&gt;
|Should stdOut and stdErr be included as parameters in the function declaration?&lt;br /&gt;
|[[RunConsoleProcess]]&lt;br /&gt;
|1/25/16&lt;br /&gt;
&lt;br /&gt;
BB&lt;br /&gt;
|&lt;br /&gt;
|Alternatively, the discussion could made clearer: currently stdOut and stdErr are mentioned in the discussion but missing from the formal declaration.&lt;br /&gt;
|&lt;br /&gt;
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|-&lt;br /&gt;
|bgcolor=pink|40&lt;br /&gt;
|Many function pages do not have any examples&lt;br /&gt;
|E.g., [[CumPoisson]]&lt;br /&gt;
|1/26/16&lt;br /&gt;
&lt;br /&gt;
BB&lt;br /&gt;
|&lt;br /&gt;
|I have not noted all example-less pages but could do it if needed.&lt;br /&gt;
&lt;br /&gt;
Function combination could be used to add examples. &lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Logistic_regression_functions&amp;diff=38794</id>
		<title>Logistic regression functions</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Logistic_regression_functions&amp;diff=38794"/>
		<updated>2015-12-29T01:39:57Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Analytica User Guide]]&lt;br /&gt;
&amp;lt;breadcrumbs&amp;gt;Analytica User Guide &amp;gt; Statistics, Sensitivity, and Uncertainty Analysis &amp;gt; {{PAGENAME}}&amp;lt;/breadcrumbs&amp;gt;&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
You can use the functions in this section to estimate the probability (or probability distribution) of a binary or categorical dependent (output) variable as a function of known values for independent (input) variables. This is similar to linear regression, which predicts the value of a dependent variable as a function of known values for independent variables. Logistic regression is the best known example generalized regression, so even though the term logistic regression technically refers to one specific form of generalized regression (with probit and poisson regression being other instances), it is also not uncommon to hear the term logistic regression functions used synonymously with generalized linear regression, as we have done with the title of this section.&lt;br /&gt;
&lt;br /&gt;
The functions '''LogisticRegression''' and '''ProbitRegression''' predict the probability of a Bernoulli (i.e., 0,1-valued) random variable from a set of continuous independent variables. Both functions apply to the same scenarios and accept identical parameters; the final models differ slightly in their functional form. The function '''PoissonRegression''' predicts the probability distribution for the number of events that occur, where the dependent (output) variable is a non-negative integer.&lt;br /&gt;
&lt;br /&gt;
All three functions accept the same parameters as the [[Regression analysis#Regression(y, b, i, k)|Regression function]]. As with those functions, you construct a basis for your dependent variables, and will usually want to include the constant term (a 1 in the basis). In addition to those parameters, these functions also have two parameters, '''priorType''' and '''priorDev''', which allow you to specify a Bayesian prior.&lt;br /&gt;
&lt;br /&gt;
===Bayesian priors===&lt;br /&gt;
The regression methods in this section are highly susceptible to overfitting. The problem is particularly bad when there are a small number of data points or a large number of basis terms. When your model has been overfit, it will produce probability estimates that are too close to zero or one; in other words, its predictions are overconfident. To avoid overfitting, you will usually want to employ a Bayesian prior, which you do by specifying the '''priorType''' parameter, which recognizes these options:&lt;br /&gt;
&lt;br /&gt;
: 0 = Maximum likelihood (default)&lt;br /&gt;
: 1 = Exponential L1 prior&lt;br /&gt;
: 2 = Normal L2 prior&lt;br /&gt;
&lt;br /&gt;
Maximum likelihood corresponds to having no prior. The L1 and L2 priors penalize larger coefficient weights. The joint prior probability of each coefficient is statistically independent, having the shape of a decaying exponential function in the case of an L1 prior or of a half-normal distribution in the case of the L2 prior.&lt;br /&gt;
&lt;br /&gt;
You can also optionally specify the strength of the prior using the '''priorDev''' parameter. which specifies the standard deviation of each marginal prior distribution on each coefficient. Cross validation techniques vary this parameter to find the optimal prior strength for a given problem, which is demonstrated in the “&amp;lt;code&amp;gt;Logistic Regression prior selection.ana&amp;lt;/code&amp;gt;” example model included with Analytica in the &amp;lt;code&amp;gt;Data Analysis&amp;lt;/code&amp;gt; example models folder. If you omit the '''priorDev''' parameter, the function makes a reasonable guess, which will usually be superior to maximum likelihood.&lt;br /&gt;
&lt;br /&gt;
==LogisticRegression(y, b, i, k, priorType,priorDev)==&lt;br /&gt;
'''''Logistic regression''''' is a technique for predicting a Bernoulli (i.e., 0,1-valued) random&lt;br /&gt;
variable from a set of continuous dependent variables. See the [http://en.wikipedia.org/wiki/Logistic_regression Wikipedia article on logistic regression] for a simple description. The '''LogisticRegression''' function finds the parameters ''c&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; ''that fit a model of the form&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
Logit(p(x)) = \sum_k c_kb_k(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ''p(y)'' is the probability of outcome ''y'', and ''b&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;(x)'' is the basis vector for a data which is indexed by k. To understand how to put together a basis from your independent variables, you should read the section on the [[Regression analysis#Regression(y, b, i, k)|Regression function]], it is exactly the same here. Notice that the righthand side of the Logit equation above is the same as for standard Regression (Equation (6)), but the lefthand side involves the [[Advanced probability functions#Advanced probability functions|Logit function]]. The inverse of the '''[[Logit]]''' function is the '''[[Sigmoid]]''' function, so that once you’ve obtained the result from '''LogisticRegression''', you can use it to predict the probability for a new data point using&lt;br /&gt;
&lt;br /&gt;
 Sigmoid(Sum(c*B(x), k))&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;code&amp;gt;B(x)&amp;lt;/code&amp;gt; is a user-defined function that returns the basis vector for the data point.&lt;br /&gt;
&lt;br /&gt;
'''Example:''' Suppose you have Height, Weight and Gender information for a set of people, with these three variables indexed by Person. A logistic regression model might estimate the probability that a given person is male based on height and weight, encoded as follows:&lt;br /&gt;
&lt;br /&gt;
 Index K := ['b', 'height', 'weight']&lt;br /&gt;
 Function PersonBasis(height, weight) :=&lt;br /&gt;
    Array(K, [1, height, weight])&lt;br /&gt;
 Variable coef :=&lt;br /&gt;
   LogisticRegression(Gender = 'M', PersonBasis(Height, Weight),&lt;br /&gt;
     Person, K, priorType: 2)&lt;br /&gt;
&lt;br /&gt;
With these coefficients, the probability that a 85kg, 170cm tall person is male is&lt;br /&gt;
&lt;br /&gt;
 Sigmoid(Sum(coef*PersonBasis(170, 85), k))&lt;br /&gt;
&lt;br /&gt;
==ProbitRegression(y, b, i, k, priorType, priorDev)==&lt;br /&gt;
A probit model relates a continuous vector of dependent measurements to the probability of a Bernoulli (i.e., 0,1-valued) outcome. In econometrics, this model is sometimes called the '''''Harvard model'''''. The '''ProbitRegression''' function finds the parameters c&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;that fit a model of the form&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
CumNormal(p(x)) = \sum_k c_kb_k(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ''p(y)'' is the probability of outcome ''y'', and ''b&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;(x)'' is the basis vector for a data which is indexed by ''k''. To understand how to put together a basis from your independent variables, you should read the section on the [[Regression analysis#Regression(y, b, i, k)|Regression function]], it is exactly the same here. Notice that the righthand side of the ProbitRegression equation is the same as for standard Regression), but the lefthand side involves the [[CumNormal]] function. Once you’ve obtained the result from '''LogisticRegression''', you can use it to predict the probability for a new data point using &lt;br /&gt;
&lt;br /&gt;
 CumNormalInv(Sum(c*B(x), k)) &lt;br /&gt;
&lt;br /&gt;
where &amp;lt;code&amp;gt;B(x)&amp;lt;/code&amp;gt; is a user-defined function that returns the basis vector for the data point.&lt;br /&gt;
&lt;br /&gt;
'''Example:''' Suppose you want to predict the probability that a particlar treatment for diabetes is effective given several lab test results. Data is collected for patients who have undergone the treatment, as follows, where the variable &amp;lt;code&amp;gt;Test_results&amp;lt;/code&amp;gt; consists lab test data and &amp;lt;code&amp;gt;Treatment_effective&amp;lt;/code&amp;gt; is set to &amp;lt;code&amp;gt;0&amp;lt;/code&amp;gt; or &amp;lt;code&amp;gt;1&amp;lt;/code&amp;gt; depending on whether the treatment was effective or not for that patient.&lt;br /&gt;
&lt;br /&gt;
[[File:Chapter16_13.png]]&lt;br /&gt;
&lt;br /&gt;
Using the data directly as the regression basis, the logistic regression coefficients are&lt;br /&gt;
computed using this.&lt;br /&gt;
&lt;br /&gt;
 Variable c := ProbRegression( Treatment_effective,&lt;br /&gt;
     Test_results, Patient_ID, Lab_test, priorType: 2)&lt;br /&gt;
&lt;br /&gt;
We can obtain the predicted probability for each patient in this testing set this.&lt;br /&gt;
&lt;br /&gt;
 Variable Prob_Effective :=&lt;br /&gt;
     CumNormalInv( Sum( c*Test_results, Lab_Test ))&lt;br /&gt;
&lt;br /&gt;
If we have lab tests for a new patient, say &amp;lt;code&amp;gt;New_Patient_Tests&amp;lt;/code&amp;gt;, in the form of a vector indexed by &amp;lt;code&amp;gt;Lab_Test&amp;lt;/code&amp;gt;, we can predict the probability that treatment will be effective this.&lt;br /&gt;
&lt;br /&gt;
 CumNormalInv(Sum(c*New_patient_tests, Lab_test))&lt;br /&gt;
&lt;br /&gt;
==PoissonRegression(y, b, i, k, priorType, priorDev)==&lt;br /&gt;
A Poisson regression model is used to predict the number of events that occur, '''y''', from&lt;br /&gt;
a vector independent data, '''b''', indexed by '''k'''. The '''[[PoissonRegression]]()''' function computes the coefficients, '''c''', from a set of data points, ('''b, y'''), both indexed by '''i''', such that the expected number of events is predicted by this formula.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
E(Y) = exp (\sum_k c_kb_k)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The random component in the prediction is assumed to be Poisson-distributed, so that&lt;br /&gt;
given a new data point '''b''', the distribution for that point is&lt;br /&gt;
&lt;br /&gt;
 Poisson(Exp(Sum(c*b, K)))&lt;br /&gt;
&lt;br /&gt;
'''Example:''' You have data collected from surveys on how many times TV viewers were exposed to your ads in a given week, and on how many times you ran ads in each time slot on those weeks. You want to fit a model to this data so that you can predict the distribution of exposures that you can expect in the future for a given allocation of ads to each time slot.&lt;br /&gt;
&lt;br /&gt;
Each data point used for training is one survey response (from one person) taken at the end of one particular week (&amp;lt;code&amp;gt;Training_exposures&amp;lt;/code&amp;gt; indexed by &amp;lt;code&amp;gt;Survey_response&amp;lt;/code&amp;gt;). The basis includes a constant term plus the number of times ads were run in each time slot that week (&amp;lt;code&amp;gt;Training_basis&amp;lt;/code&amp;gt; indexed by &amp;lt;code&amp;gt;Time_slot_k&amp;lt;/code&amp;gt; and &amp;lt;code&amp;gt;Survey_response&amp;lt;/code&amp;gt;).&lt;br /&gt;
&lt;br /&gt;
 Index Time_Slot_K := [1,'Prime time', 'Late night', 'Day time']&lt;br /&gt;
 Variable exposure_coefs :=&lt;br /&gt;
     PoissonRegression( Training_exposures, Training_basis,&lt;br /&gt;
        Survey_response, Time_slot_K)&lt;br /&gt;
&lt;br /&gt;
To estimate the distribution for how many times a viewer will be exposed to your ads next week if you run 30 ads in prime time, 20 in late night and 50 during the day, use&lt;br /&gt;
&lt;br /&gt;
 Decision AdAllocation := Table(Time_slot_K)(1,30,20,50)&lt;br /&gt;
 Chance ViewersExposed :=&lt;br /&gt;
     Poisson(Exp( Sum(Exposure_coefs*AdAllocation, Time_slot_K)))&lt;br /&gt;
&lt;br /&gt;
This example can be found in the &amp;lt;code&amp;gt;Example Models / Data Analysis&amp;lt;/code&amp;gt; folder in the model file “&amp;lt;code&amp;gt;Poisson regression ad exposures.ana&amp;lt;/code&amp;gt;”.&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[LogisticRegression]]()&lt;br /&gt;
* [[ProbitRegression]]()&lt;br /&gt;
* [[PoissonRegression]]()&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;footer&amp;gt;Uncertainty in regression results / {{PAGENAME}} / Stochastic Information Packets (SIPs)&amp;lt;/footer&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Logistic_regression_functions&amp;diff=38793</id>
		<title>Logistic regression functions</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Logistic_regression_functions&amp;diff=38793"/>
		<updated>2015-12-29T01:39:28Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* LogisticRegression(y, b, i, k, priorType,priorDev) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Analytica User Guide]]&lt;br /&gt;
&amp;lt;breadcrumbs&amp;gt;Analytica User Guide &amp;gt; Statistics, Sensitivity, and Uncertainty Analysis &amp;gt; {{PAGENAME}}&amp;lt;/breadcrumbs&amp;gt;&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
You can use the functions in this section to estimate the probability (or probability distribution) of a binary or categorical dependent (output) variable as a function of known values for independent (input) variables. This is similar to linear regression, which predicts the value of a dependent variable as a function of known values for independent variables. Logistic regression is the best known example generalized regression, so even though the term logistic regression technically refers to one specific form of generalized regression (with probit and poisson regression being other instances), it is also not uncommon to hear the term logistic regression functions used synonymously with generalized linear regression, as we have done with the title of this section.&lt;br /&gt;
&lt;br /&gt;
The functions '''LogisticRegression''' and '''ProbitRegression''' predict the probability of a Bernoulli (i.e., 0,1-valued) random variable from a set of continuous independent variables. Both functions apply to the same scenarios and accept identical parameters; the final models differ slightly in their functional form. The function '''PoissonRegression''' predicts the probability distribution for the number of events that occur, where the dependent (output) variable is a non-negative integer.&lt;br /&gt;
&lt;br /&gt;
All three functions accept the same parameters as the [[Regression analysis#Regression(y, b, i, k)|Regression function]]. As with those functions, you construct a basis for your dependent variables, and will usually want to include the constant term (a 1 in the basis). In addition to those parameters, these functions also have two parameters, '''priorType''' and '''priorDev''', which allow you to specify a Bayesian prior.&lt;br /&gt;
&lt;br /&gt;
===Bayesian priors===&lt;br /&gt;
The regression methods in this section are highly susceptible to overfitting. The problem is particularly bad when there are a small number of data points or a large number of basis terms. When your model has been overfit, it will produce probability estimates that are too close to zero or one; in other words, its predictions are overconfident. To avoid overfitting, you will usually want to employ a Bayesian prior, which you do by specifying the '''priorType''' parameter, which recognizes these options:&lt;br /&gt;
&lt;br /&gt;
: 0 = Maximum likelihood (default)&lt;br /&gt;
: 1 = Exponential L1 prior&lt;br /&gt;
: 2 = Normal L2 prior&lt;br /&gt;
&lt;br /&gt;
Maximum likelihood corresponds to having no prior. The L1 and L2 priors penalize larger coefficient weights. The joint prior probability of each coefficient is statistically independent, having the shape of a decaying exponential function in the case of an L1 prior or of a half-normal distribution in the case of the L2 prior.&lt;br /&gt;
&lt;br /&gt;
You can also optionally specify the strength of the prior using the '''priorDev''' parameter. which specifies the standard deviation of each marginal prior distribution on each coefficient. Cross validation techniques vary this parameter to find the optimal prior strength for a given problem, which is demonstrated in the “&amp;lt;code&amp;gt;Logistic Regression prior selection.ana&amp;lt;/code&amp;gt;” example model included with Analytica in the &amp;lt;code&amp;gt;Data Analysis&amp;lt;/code&amp;gt; example models folder. If you omit the '''priorDev''' parameter, the function makes a reasonable guess, which will usually be superior to maximum likelihood.&lt;br /&gt;
&lt;br /&gt;
==LogisticRegression(y, b, i, k, priorType,priorDev)==&lt;br /&gt;
'''''Logistic regression''''' is a technique for predicting a Bernoulli (i.e., 0,1-valued) random&lt;br /&gt;
variable from a set of continuous dependent variables. See the [http://en.wikipedia.org/wiki/Logistic_regression Wikipedia article on logistic regression] for a simple description. The '''LogisticRegression''' function finds the parameters ''c&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; ''that fit a model of the form&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
Logit(p(x)) = \sum_k c_kb_k(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ''p(y)'' is the probability of outcome ''y'', and ''b&amp;lt;&amp;gt;sub&amp;gt;k&amp;lt;/sub&amp;gt;(x)'' is the basis vector for a data which is indexed by k. To understand how to put together a basis from your independent variables, you should read the section on the [[Regression analysis#Regression(y, b, i, k)|Regression function]], it is exactly the same here. Notice that the righthand side of the Logit equation above is the same as for standard Regression (Equation (6)), but the lefthand side involves the [[Advanced probability functions#Advanced probability functions|Logit function]]. The inverse of the '''[[Logit]]''' function is the '''[[Sigmoid]]''' function, so that once you’ve obtained the result from '''LogisticRegression''', you can use it to predict the probability for a new data point using&lt;br /&gt;
&lt;br /&gt;
 Sigmoid(Sum(c*B(x), k))&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;code&amp;gt;B(x)&amp;lt;/code&amp;gt; is a user-defined function that returns the basis vector for the data point.&lt;br /&gt;
&lt;br /&gt;
'''Example:''' Suppose you have Height, Weight and Gender information for a set of people, with these three variables indexed by Person. A logistic regression model might estimate the probability that a given person is male based on height and weight, encoded as follows:&lt;br /&gt;
&lt;br /&gt;
 Index K := ['b', 'height', 'weight']&lt;br /&gt;
 Function PersonBasis(height, weight) :=&lt;br /&gt;
    Array(K, [1, height, weight])&lt;br /&gt;
 Variable coef :=&lt;br /&gt;
   LogisticRegression(Gender = 'M', PersonBasis(Height, Weight),&lt;br /&gt;
     Person, K, priorType: 2)&lt;br /&gt;
&lt;br /&gt;
With these coefficients, the probability that a 85kg, 170cm tall person is male is&lt;br /&gt;
&lt;br /&gt;
 Sigmoid(Sum(coef*PersonBasis(170, 85), k))&lt;br /&gt;
&lt;br /&gt;
==ProbitRegression(y, b, i, k, priorType, priorDev)==&lt;br /&gt;
A probit model relates a continuous vector of dependent measurements to the probability of a Bernoulli (i.e., 0,1-valued) outcome. In econometrics, this model is sometimes called the '''''Harvard model'''''. The '''ProbitRegression''' function finds the parameters c&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;that fit a model of the form&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
CumNormal(p(x)) = \sum_k c_kb_k(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ''p(y)'' is the probability of outcome ''y'', and ''b&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;(x)'' is the basis vector for a data which is indexed by ''k''. To understand how to put together a basis from your independent variables, you should read the section on the [[Regression analysis#Regression(y, b, i, k)|Regression function]], it is exactly the same here. Notice that the righthand side of the ProbitRegression equation is the same as for standard Regression), but the lefthand side involves the [[CumNormal]] function. Once you’ve obtained the result from '''LogisticRegression''', you can use it to predict the probability for a new data point using &lt;br /&gt;
&lt;br /&gt;
 CumNormalInv(Sum(c*B(x), k)) &lt;br /&gt;
&lt;br /&gt;
where &amp;lt;code&amp;gt;B(x)&amp;lt;/code&amp;gt; is a user-defined function that returns the basis vector for the data point.&lt;br /&gt;
&lt;br /&gt;
'''Example:''' Suppose you want to predict the probability that a particlar treatment for diabetes is effective given several lab test results. Data is collected for patients who have undergone the treatment, as follows, where the variable &amp;lt;code&amp;gt;Test_results&amp;lt;/code&amp;gt; consists lab test data and &amp;lt;code&amp;gt;Treatment_effective&amp;lt;/code&amp;gt; is set to &amp;lt;code&amp;gt;0&amp;lt;/code&amp;gt; or &amp;lt;code&amp;gt;1&amp;lt;/code&amp;gt; depending on whether the treatment was effective or not for that patient.&lt;br /&gt;
&lt;br /&gt;
[[File:Chapter16_13.png]]&lt;br /&gt;
&lt;br /&gt;
Using the data directly as the regression basis, the logistic regression coefficients are&lt;br /&gt;
computed using this.&lt;br /&gt;
&lt;br /&gt;
 Variable c := ProbRegression( Treatment_effective,&lt;br /&gt;
     Test_results, Patient_ID, Lab_test, priorType: 2)&lt;br /&gt;
&lt;br /&gt;
We can obtain the predicted probability for each patient in this testing set this.&lt;br /&gt;
&lt;br /&gt;
 Variable Prob_Effective :=&lt;br /&gt;
     CumNormalInv( Sum( c*Test_results, Lab_Test ))&lt;br /&gt;
&lt;br /&gt;
If we have lab tests for a new patient, say &amp;lt;code&amp;gt;New_Patient_Tests&amp;lt;/code&amp;gt;, in the form of a vector indexed by &amp;lt;code&amp;gt;Lab_Test&amp;lt;/code&amp;gt;, we can predict the probability that treatment will be effective this.&lt;br /&gt;
&lt;br /&gt;
 CumNormalInv(Sum(c*New_patient_tests, Lab_test))&lt;br /&gt;
&lt;br /&gt;
==PoissonRegression(y, b, i, k, priorType, priorDev)==&lt;br /&gt;
A Poisson regression model is used to predict the number of events that occur, '''y''', from&lt;br /&gt;
a vector independent data, '''b''', indexed by '''k'''. The '''[[PoissonRegression]]()''' function computes the coefficients, '''c''', from a set of data points, ('''b, y'''), both indexed by '''i''', such that the expected number of events is predicted by this formula.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
E(Y) = exp (\sum_k c_kb_k)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The random component in the prediction is assumed to be Poisson-distributed, so that&lt;br /&gt;
given a new data point '''b''', the distribution for that point is&lt;br /&gt;
&lt;br /&gt;
 Poisson(Exp(Sum(c*b, K)))&lt;br /&gt;
&lt;br /&gt;
'''Example:''' You have data collected from surveys on how many times TV viewers were exposed to your ads in a given week, and on how many times you ran ads in each time slot on those weeks. You want to fit a model to this data so that you can predict the distribution of exposures that you can expect in the future for a given allocation of ads to each time slot.&lt;br /&gt;
&lt;br /&gt;
Each data point used for training is one survey response (from one person) taken at the end of one particular week (&amp;lt;code&amp;gt;Training_exposures&amp;lt;/code&amp;gt; indexed by &amp;lt;code&amp;gt;Survey_response&amp;lt;/code&amp;gt;). The basis includes a constant term plus the number of times ads were run in each time slot that week (&amp;lt;code&amp;gt;Training_basis&amp;lt;/code&amp;gt; indexed by &amp;lt;code&amp;gt;Time_slot_k&amp;lt;/code&amp;gt; and &amp;lt;code&amp;gt;Survey_response&amp;lt;/code&amp;gt;).&lt;br /&gt;
&lt;br /&gt;
 Index Time_Slot_K := [1,'Prime time', 'Late night', 'Day time']&lt;br /&gt;
 Variable exposure_coefs :=&lt;br /&gt;
     PoissonRegression( Training_exposures, Training_basis,&lt;br /&gt;
        Survey_response, Time_slot_K)&lt;br /&gt;
&lt;br /&gt;
To estimate the distribution for how many times a viewer will be exposed to your ads next week if you run 30 ads in prime time, 20 in late night and 50 during the day, use&lt;br /&gt;
&lt;br /&gt;
 Decision AdAllocation := Table(Time_slot_K)(1,30,20,50)&lt;br /&gt;
 Chance ViewersExposed :=&lt;br /&gt;
     Poisson(Exp( Sum(Exposure_coefs*AdAllocation, Time_slot_K)))&lt;br /&gt;
&lt;br /&gt;
This example can be found in the &amp;lt;code&amp;gt;Example Models / Data Analysis&amp;lt;/code&amp;gt; folder in the model file “&amp;lt;code&amp;gt;Poisson regression ad exposures.ana&amp;lt;/code&amp;gt;”.&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[LogisticRegression]]()&lt;br /&gt;
* [[ProbitRegression]]()&lt;br /&gt;
* [[PoissonRegression]]()&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;footer&amp;gt;Uncertainty in regression results / {{PAGENAME}} / Stochastic Information Packets (SIPs)&amp;lt;/footer&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Logistic_regression_functions&amp;diff=38792</id>
		<title>Logistic regression functions</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Logistic_regression_functions&amp;diff=38792"/>
		<updated>2015-12-29T01:38:31Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Analytica User Guide]]&lt;br /&gt;
&amp;lt;breadcrumbs&amp;gt;Analytica User Guide &amp;gt; Statistics, Sensitivity, and Uncertainty Analysis &amp;gt; {{PAGENAME}}&amp;lt;/breadcrumbs&amp;gt;&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
You can use the functions in this section to estimate the probability (or probability distribution) of a binary or categorical dependent (output) variable as a function of known values for independent (input) variables. This is similar to linear regression, which predicts the value of a dependent variable as a function of known values for independent variables. Logistic regression is the best known example generalized regression, so even though the term logistic regression technically refers to one specific form of generalized regression (with probit and poisson regression being other instances), it is also not uncommon to hear the term logistic regression functions used synonymously with generalized linear regression, as we have done with the title of this section.&lt;br /&gt;
&lt;br /&gt;
The functions '''LogisticRegression''' and '''ProbitRegression''' predict the probability of a Bernoulli (i.e., 0,1-valued) random variable from a set of continuous independent variables. Both functions apply to the same scenarios and accept identical parameters; the final models differ slightly in their functional form. The function '''PoissonRegression''' predicts the probability distribution for the number of events that occur, where the dependent (output) variable is a non-negative integer.&lt;br /&gt;
&lt;br /&gt;
All three functions accept the same parameters as the [[Regression analysis#Regression(y, b, i, k)|Regression function]]. As with those functions, you construct a basis for your dependent variables, and will usually want to include the constant term (a 1 in the basis). In addition to those parameters, these functions also have two parameters, '''priorType''' and '''priorDev''', which allow you to specify a Bayesian prior.&lt;br /&gt;
&lt;br /&gt;
===Bayesian priors===&lt;br /&gt;
The regression methods in this section are highly susceptible to overfitting. The problem is particularly bad when there are a small number of data points or a large number of basis terms. When your model has been overfit, it will produce probability estimates that are too close to zero or one; in other words, its predictions are overconfident. To avoid overfitting, you will usually want to employ a Bayesian prior, which you do by specifying the '''priorType''' parameter, which recognizes these options:&lt;br /&gt;
&lt;br /&gt;
: 0 = Maximum likelihood (default)&lt;br /&gt;
: 1 = Exponential L1 prior&lt;br /&gt;
: 2 = Normal L2 prior&lt;br /&gt;
&lt;br /&gt;
Maximum likelihood corresponds to having no prior. The L1 and L2 priors penalize larger coefficient weights. The joint prior probability of each coefficient is statistically independent, having the shape of a decaying exponential function in the case of an L1 prior or of a half-normal distribution in the case of the L2 prior.&lt;br /&gt;
&lt;br /&gt;
You can also optionally specify the strength of the prior using the '''priorDev''' parameter. which specifies the standard deviation of each marginal prior distribution on each coefficient. Cross validation techniques vary this parameter to find the optimal prior strength for a given problem, which is demonstrated in the “&amp;lt;code&amp;gt;Logistic Regression prior selection.ana&amp;lt;/code&amp;gt;” example model included with Analytica in the &amp;lt;code&amp;gt;Data Analysis&amp;lt;/code&amp;gt; example models folder. If you omit the '''priorDev''' parameter, the function makes a reasonable guess, which will usually be superior to maximum likelihood.&lt;br /&gt;
&lt;br /&gt;
==LogisticRegression(y, b, i, k, priorType,priorDev)==&lt;br /&gt;
'''''Logistic regression''''' is a technique for predicting a Bernoulli (i.e., 0,1-valued) random&lt;br /&gt;
variable from a set of continuous dependent variables. See the [http://en.wikipedia.org/wiki/Logistic_regression Wikipedia article on&lt;br /&gt;
logistic regression] for a simple description. The '''LogisticRegression''' function finds the parameters ''c&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; ''that fit a model of the form&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
Logit(p(x)) = \sum_k c_kb_k(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ''p(y)'' is the probability of outcome ''y'', and ''b&amp;lt;&amp;gt;sub&amp;gt;k&amp;lt;/sub&amp;gt;(x)'' is the basis vector for a data which is indexed by k. To understand how to put together a basis from your independent variables, you should read the section on the [[Regression analysis#Regression(y, b, i, k)|Regression function]], it is exactly the same here. Notice that the righthand side of the Logit equation above is the same as for standard Regression (Equation (6)), but the lefthand side involves the [[Advanced probability functions#Advanced probability functions|Logit function]]. The inverse of the '''[[Logit]]''' function is the '''[[Sigmoid]]''' function, so that once you’ve obtained the result from '''LogisticRegression''', you can use it to predict the probability for a new data point using&lt;br /&gt;
&lt;br /&gt;
 Sigmoid(Sum(c*B(x), k))&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;code&amp;gt;B(x)&amp;lt;/code&amp;gt; is a user-defined function that returns the basis vector for the data point.&lt;br /&gt;
&lt;br /&gt;
'''Example:''' Suppose you have Height, Weight and Gender information for a set of people, with these three variables indexed by Person. A logistic regression model might estimate the probability that a given person is male based on height and weight, encoded as follows:&lt;br /&gt;
&lt;br /&gt;
 Index K := ['b', 'height', 'weight']&lt;br /&gt;
 Function PersonBasis(height, weight) :=&lt;br /&gt;
    Array(K, [1, height, weight])&lt;br /&gt;
 Variable coef :=&lt;br /&gt;
   LogisticRegression(Gender = 'M', PersonBasis(Height, Weight),&lt;br /&gt;
     Person, K, priorType: 2)&lt;br /&gt;
&lt;br /&gt;
With these coefficients, the probability that a 85kg, 170cm tall person is male is&lt;br /&gt;
&lt;br /&gt;
 Sigmoid(Sum(coef*PersonBasis(170, 85), k))&lt;br /&gt;
&lt;br /&gt;
==ProbitRegression(y, b, i, k, priorType, priorDev)==&lt;br /&gt;
A probit model relates a continuous vector of dependent measurements to the probability of a Bernoulli (i.e., 0,1-valued) outcome. In econometrics, this model is sometimes called the '''''Harvard model'''''. The '''ProbitRegression''' function finds the parameters c&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;that fit a model of the form&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
CumNormal(p(x)) = \sum_k c_kb_k(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ''p(y)'' is the probability of outcome ''y'', and ''b&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;(x)'' is the basis vector for a data which is indexed by ''k''. To understand how to put together a basis from your independent variables, you should read the section on the [[Regression analysis#Regression(y, b, i, k)|Regression function]], it is exactly the same here. Notice that the righthand side of the ProbitRegression equation is the same as for standard Regression), but the lefthand side involves the [[CumNormal]] function. Once you’ve obtained the result from '''LogisticRegression''', you can use it to predict the probability for a new data point using &lt;br /&gt;
&lt;br /&gt;
 CumNormalInv(Sum(c*B(x), k)) &lt;br /&gt;
&lt;br /&gt;
where &amp;lt;code&amp;gt;B(x)&amp;lt;/code&amp;gt; is a user-defined function that returns the basis vector for the data point.&lt;br /&gt;
&lt;br /&gt;
'''Example:''' Suppose you want to predict the probability that a particlar treatment for diabetes is effective given several lab test results. Data is collected for patients who have undergone the treatment, as follows, where the variable &amp;lt;code&amp;gt;Test_results&amp;lt;/code&amp;gt; consists lab test data and &amp;lt;code&amp;gt;Treatment_effective&amp;lt;/code&amp;gt; is set to &amp;lt;code&amp;gt;0&amp;lt;/code&amp;gt; or &amp;lt;code&amp;gt;1&amp;lt;/code&amp;gt; depending on whether the treatment was effective or not for that patient.&lt;br /&gt;
&lt;br /&gt;
[[File:Chapter16_13.png]]&lt;br /&gt;
&lt;br /&gt;
Using the data directly as the regression basis, the logistic regression coefficients are&lt;br /&gt;
computed using this.&lt;br /&gt;
&lt;br /&gt;
 Variable c := ProbRegression( Treatment_effective,&lt;br /&gt;
     Test_results, Patient_ID, Lab_test, priorType: 2)&lt;br /&gt;
&lt;br /&gt;
We can obtain the predicted probability for each patient in this testing set this.&lt;br /&gt;
&lt;br /&gt;
 Variable Prob_Effective :=&lt;br /&gt;
     CumNormalInv( Sum( c*Test_results, Lab_Test ))&lt;br /&gt;
&lt;br /&gt;
If we have lab tests for a new patient, say &amp;lt;code&amp;gt;New_Patient_Tests&amp;lt;/code&amp;gt;, in the form of a vector indexed by &amp;lt;code&amp;gt;Lab_Test&amp;lt;/code&amp;gt;, we can predict the probability that treatment will be effective this.&lt;br /&gt;
&lt;br /&gt;
 CumNormalInv(Sum(c*New_patient_tests, Lab_test))&lt;br /&gt;
&lt;br /&gt;
==PoissonRegression(y, b, i, k, priorType, priorDev)==&lt;br /&gt;
A Poisson regression model is used to predict the number of events that occur, '''y''', from&lt;br /&gt;
a vector independent data, '''b''', indexed by '''k'''. The '''[[PoissonRegression]]()''' function computes the coefficients, '''c''', from a set of data points, ('''b, y'''), both indexed by '''i''', such that the expected number of events is predicted by this formula.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;&amp;lt;math&amp;gt;&lt;br /&gt;
E(Y) = exp (\sum_k c_kb_k)&lt;br /&gt;
&amp;lt;/math&amp;gt;&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The random component in the prediction is assumed to be Poisson-distributed, so that&lt;br /&gt;
given a new data point '''b''', the distribution for that point is&lt;br /&gt;
&lt;br /&gt;
 Poisson(Exp(Sum(c*b, K)))&lt;br /&gt;
&lt;br /&gt;
'''Example:''' You have data collected from surveys on how many times TV viewers were exposed to your ads in a given week, and on how many times you ran ads in each time slot on those weeks. You want to fit a model to this data so that you can predict the distribution of exposures that you can expect in the future for a given allocation of ads to each time slot.&lt;br /&gt;
&lt;br /&gt;
Each data point used for training is one survey response (from one person) taken at the end of one particular week (&amp;lt;code&amp;gt;Training_exposures&amp;lt;/code&amp;gt; indexed by &amp;lt;code&amp;gt;Survey_response&amp;lt;/code&amp;gt;). The basis includes a constant term plus the number of times ads were run in each time slot that week (&amp;lt;code&amp;gt;Training_basis&amp;lt;/code&amp;gt; indexed by &amp;lt;code&amp;gt;Time_slot_k&amp;lt;/code&amp;gt; and &amp;lt;code&amp;gt;Survey_response&amp;lt;/code&amp;gt;).&lt;br /&gt;
&lt;br /&gt;
 Index Time_Slot_K := [1,'Prime time', 'Late night', 'Day time']&lt;br /&gt;
 Variable exposure_coefs :=&lt;br /&gt;
     PoissonRegression( Training_exposures, Training_basis,&lt;br /&gt;
        Survey_response, Time_slot_K)&lt;br /&gt;
&lt;br /&gt;
To estimate the distribution for how many times a viewer will be exposed to your ads next week if you run 30 ads in prime time, 20 in late night and 50 during the day, use&lt;br /&gt;
&lt;br /&gt;
 Decision AdAllocation := Table(Time_slot_K)(1,30,20,50)&lt;br /&gt;
 Chance ViewersExposed :=&lt;br /&gt;
     Poisson(Exp( Sum(Exposure_coefs*AdAllocation, Time_slot_K)))&lt;br /&gt;
&lt;br /&gt;
This example can be found in the &amp;lt;code&amp;gt;Example Models / Data Analysis&amp;lt;/code&amp;gt; folder in the model file “&amp;lt;code&amp;gt;Poisson regression ad exposures.ana&amp;lt;/code&amp;gt;”.&lt;br /&gt;
&lt;br /&gt;
==See Also==&lt;br /&gt;
* [[LogisticRegression]]()&lt;br /&gt;
* [[ProbitRegression]]()&lt;br /&gt;
* [[PoissonRegression]]()&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;footer&amp;gt;Uncertainty in regression results / {{PAGENAME}} / Stochastic Information Packets (SIPs)&amp;lt;/footer&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Uncertainty_Setup_dialog&amp;diff=38790</id>
		<title>Uncertainty Setup dialog</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Uncertainty_Setup_dialog&amp;diff=38790"/>
		<updated>2015-12-29T01:26:33Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: fixed errors from WYSIWYG editor&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Analytica User Guide]]&lt;br /&gt;
&amp;lt;breadcrumbs&amp;gt;Analytica User Guide &amp;gt; Expressing Uncertainty &amp;gt; {{PAGENAME}}&amp;lt;/breadcrumbs&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Use the '''Uncertainty Setup''' dialog to inspect and change the sample size, sampling method, statistics, probability bands, and samples per plot point for probability distributions. All settings are saved with your model.&lt;br /&gt;
&lt;br /&gt;
To open the '''Uncertainty Setup''' dialog, select '''Uncertainty Options''' from the '''Result''' menu or ''Control+u''. To set values for a specific variable, select the variable before opening the dialog.&lt;br /&gt;
&lt;br /&gt;
The five options for viewing and changing information in the '''Uncertainty Setup''' dialog can be accessed using the '''Analysis option''' popup menu.&lt;br /&gt;
	&lt;br /&gt;
[[File:Analysis option.png]]&lt;br /&gt;
 &lt;br /&gt;
	&lt;br /&gt;
'''Uncertainty sample''': To change the sample size or sampling method for the model, select the '''Uncertainty Sample''' option from the '''Analysis option''' popup menu.&lt;br /&gt;
	&lt;br /&gt;
[[File:Uncertainity setup.png]]&lt;br /&gt;
&lt;br /&gt;
	&lt;br /&gt;
The default dialog shows only a field for sample size. To view and change the sampling method, random number method, or random seed, press the '''More Options''' button.&lt;br /&gt;
&lt;br /&gt;
[[File:Uncertainity setup 2.png]]&lt;br /&gt;
&lt;br /&gt;
'''Sample size''': This number specifies how many runs or iterations Analytica performs to estimate probability distributions. Larger sample sizes take more time and memory to compute, and produce smoother distributions and more precise statistics. See [[Selecting the Sample Size]] for guidelines on selecting a sample size. The sample size must be between 2 and 32,000. You can access this number in expressions in your models as the system variable ''[[SampleSize]]''.&lt;br /&gt;
	&lt;br /&gt;
'''Sampling method''': The sampling method is used to determine how to generate a random sample of the specified sample size, '''m''', for each uncertain quantity, '''X'''. Analytica provides three options:&lt;br /&gt;
	&lt;br /&gt;
'''''Simple Monte Carlo''''': The simplest sampling method is known as Monte Carlo, named after the randomness prevalent in games of chance, such as at the famous casino in Monte Carlo. In this method, each of the m sample points for each uncertainty quantity, '''X''', is generated at random from X with probability proportional to the probability density (or probability mass for discrete quantities) for '''X'''. Analytica uses the inverse cumulative method; it generates m uniform random values, &amp;lt;code&amp;gt;u&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;, for i=1,2,...m&amp;lt;/code&amp;gt;, between 0 and 1, using the specified random number method (see below). It then uses the inverse of the cumulative probability distribution to generate the corresponding values of '''X''',&lt;br /&gt;
	&lt;br /&gt;
&amp;lt;code&amp;gt;X&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt; where P( ) = u&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt; for i=1,2,...m&amp;lt;/code&amp;gt;&lt;br /&gt;
	&lt;br /&gt;
With the simple Monte Carlo method, each value of every random variable X in the model, including those computed from other random quantities, is a sample of m independent random values from the true probability distribution for X. You can therefore use standard statistical methods to estimate the accuracy of statistics, such as the estimated mean or fractiles of the distribution, as for example described in [[Selecting the Sample Size]].&lt;br /&gt;
	&lt;br /&gt;
'''''Median Latin hypercube (the default method)''''': With median Latin hypercube sampling, Analytica divides each uncertain quantity '''X''' into m equiprobable intervals, where m is the sample size. The sample points are the medians of the m intervals, that is, the fractiles&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;X&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt; where P( ) = (i-0.5)/m, for i=1,2,...m.&amp;lt;/code&amp;gt;&lt;br /&gt;
	&lt;br /&gt;
These points are then randomly shuffled so that they are no longer in ascending order, to avoid nonrandom correlations among different quantities.&lt;br /&gt;
	&lt;br /&gt;
'''''Random Latin hypercube''''': The random Latin hypercube method is similar to the median Latin hypercube method, except that instead of using the median of each of the m equiprobable intervals, Analytica samples at random from each interval. With random Latin hypercube sampling, each sample is a true random sample from the distribution. However, the samples are not totally independent.&lt;br /&gt;
	&lt;br /&gt;
'''Choosing a sampling method''': The advantage of Latin hypercube methods is that they provide more even distributions of samples for each distribution than simple Monte Carlo sampling. Median Latin hypercube is still more evenly distributed than random Latin hypercube. If you display the PDF of a variable that is defined as a single continuous distribution, or is dependent on a single continuous uncertain variable, using median Latin hypercube sampling, the distribution usually looks fairly smooth even with a small sample size (such as 20), whereas the result using simple Monte Carlo looks quite noisy.&lt;br /&gt;
	&lt;br /&gt;
If the variable depends on two or more uncertain quantities, the relative noise-reduction of Latin hypercube methods is reduced. If the result depends on many uncertain quantities, the performance of the Latin hypercube methods might not be discernibly better than simple Monte Carlo. Since the median Latin hypercube method is sometimes much better, and almost never worse than the others, Analytica uses it as the default method. Very rarely, median Latin hypercube can produce incorrect results, specifically when the model has a periodic function with a period similar to the size of the equiprobable intervals. For example:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;X := Uniform(1, Samplesize)&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;Y := Sin(2*Pi*X)&amp;lt;/code&amp;gt;&lt;br /&gt;
	&lt;br /&gt;
This median Latin hypercube method gives very poor results. In such cases, you should use random Latin hypercube or simple Monte Carlo. If your model has no periodic function of this kind, you do not need to worry about the reliability of median Latin hypercube sampling.&lt;br /&gt;
	&lt;br /&gt;
'''Random number method''': The random number method is used to determine how random numbers are generated for the probability distributions. Analytica provides three different methods for calculating a series of pseudorandom numbers.&lt;br /&gt;
	&lt;br /&gt;
'''''Minimal Standard (the default method)''''': The Minimal Standard random number generator is an implementation of Park and Miller’s Minimal Standard (based on a multiplicative congruential method) with a Bays-Durham shuffle. It gives satisfactory results for less than 100,000,000 samples.&lt;br /&gt;
	&lt;br /&gt;
'''''L’Ecuyer''''': The L’Ecuyer random number generator is an implementation of L’Ecuyer’s algorithm, based on a multiplicative congruential method, which gives a series of random numbers with a much longer period (sequence of numbers that repeat). Thus, it provides good random numbers even with more than 100,000,000 samples. It is slightly slower than the Minimal Standard generator.&lt;br /&gt;
	&lt;br /&gt;
'''''Knuth''''': Knuth’s algorithm is based on a subtractive method rather than a multiplicative congruential method. It is slightly faster than the Minimal Standard generator.&lt;br /&gt;
'''Random seed'''&lt;br /&gt;
	&lt;br /&gt;
This value must be a number between 0 and 100,000,000 (10&amp;lt;sup&amp;gt;8&amp;lt;/sup&amp;gt;). The series of random numbers starts from this seed value when:&lt;br /&gt;
	&lt;br /&gt;
* A model is opened.&lt;br /&gt;
&lt;br /&gt;
* The value in this field is changed.&lt;br /&gt;
	&lt;br /&gt;
* The Reset once box is checked, and the Uncertainty Setup dialog is closed by clicking the '''Accept''' or '''Set Default''' button.&lt;br /&gt;
	&lt;br /&gt;
'''Rest once''': Check the ''Reset once'' box to produce the exact same series of random numbers&lt;br /&gt;
	&lt;br /&gt;
'''Statistics option''': To change the statistics reported when you select Statistics as the uncertainty view for a result, select the Statistics option from the Analysis option popup menu.&lt;br /&gt;
	&lt;br /&gt;
[[File:Statistic option.png]]&lt;br /&gt;
 &lt;br /&gt;
'''Probability Bands option''': To change the probability bands displayed when you select '''Probability Bands''' as the uncertainty view for a result, select the '''Probability Bands''' option from the '''Analysis option''' popup menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Probability band.png]]&lt;br /&gt;
&lt;br /&gt;
'''Probability density option''': To change how probability density is estimated and drawn, select '''Probability Density''' from the '''Analysis option''' popup menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Probability density.png]]&lt;br /&gt;
&lt;br /&gt;
Analytica estimates the probability density function, like other uncertainty views, from the underlying array of sample values for each uncertain quantity. The probability density is highly susceptible to random sampling variation and noise. Both histogramming and kernel density smoothing techniques are available for estimating the probability density from the sample, but to ultimately reduce noise and variability it may be necessary to increase sample size (for details on selecting the sample size, see [[Selecting the Sample Size]]). The following example graphs compare the two methods on the same uncertain result:&lt;br /&gt;
&lt;br /&gt;
[[File:Histogram.png]]&lt;br /&gt;
&lt;br /&gt;
'''Histogram''': The histogram estimation methods partition the space of possible continuous values into bins, and then tally how many samples land in each bin. The probability density is then equal to the fraction of the Monte Carlo sample landing in a given bin divided by the bin’s width. The average number of points landing in each bin determines both the smoothness of the resulting function and the resolution of the resulting plot. With more bins, a finer resolution is obtained, but since fewer points land in each bin, the amount of random fluctuation increases resulting in a noisier plot. '''The Samples per PDF step interval''' setting sizes the bin width to match the average number of points per bin.&lt;br /&gt;
With larger sample sizes, you can increase the '''Samples per PDF step interval''' to achieve smoother plots, since more samples will land in each bin. A number approximately equal to the square root of sample size tends to work fairly well.&lt;br /&gt;
&lt;br /&gt;
You can also control how the partitioning of the space of values is performed. When '''Equal X axis steps''' is used, the range of values from the smallest to largest sample point is partitioned into equal sized bins. With this method, all bins have the same width, but the number of points falling in each bin varies. When '''Equal weighted probability steps''' is used, the bins are sized so that each bin contains approximately the same fraction of the total probability. With this method, the fraction of the sample in each bin is nearly constant, but the width of each bin varies. When '''Equal sample probability steps''' is used, the bins are partitioned so that the number of sample points in each bin is constant, with the width of each bin again varying. '''Equal weighted probability steps''' and '''Equal sample probability steps''' are exactly equivalent when standard equally-weighted Monte Carlo or Latin Hypercube sampling is being used. They differ when the Sample Weighting system variable assigns different weights to each sample along the Run index, as is sometimes employed with importance sampling, logic sampling for posterior analysis, and rare-event modeling. See [[Importance weights|Importance weighting]].&lt;br /&gt;
&lt;br /&gt;
Probability density plots using the histogram method default to the '''Step''' chart type, which emphasizes the histogram and reveals the bin placements. When desired, this can be changed to the standard line style from the '''Graph Setup''', see [[Graph setup dialog|Chart Type tab]].&lt;br /&gt;
&lt;br /&gt;
'''Smoothing''': The smoothing method estimates probability density using a technique known as Kernel Density Estimation (KDE) or Kernel Density Smoothing. This technique replaces each Monte Carlo sample with a Gaussian curve, called a Kernel, and then sums the curve to obtain the final continuous curve. Unlike a histogram, the degree of smoothness and the resolution of the plot are independent. The '''Smoothing factor''' controls the smoothness or amount of detail in the estimated PDF. The more info button next to the '''Smoothing''' radio control jumps to a page on the Analytica Wiki that elaborates in more detail on how kernel density smoothing works.&lt;br /&gt;
&lt;br /&gt;
Due to the randomness of Monte Carlo sampling, estimations of probability density are often quite noisy. The '''Smoothing''' method can often provide smoother and more intuitively appealing plots than '''Histogram''' methods, but the averaging effects inherent in '''smoothing''' can also introduce some minor artifacts. In particular, Smoothing tends to increase the apparent variance in your result slightly, with a greater increase when the '''Smoothing''' factor is greater. This increase in variance is also seen as a decrease in the height of peaks. Sharp cutoffs (such as is the case with a '''Uniform''' distribution, for example) become rounded with a decaying tail past the cutoff point. And when positive-only distributions begin with a very sharp rise, the density estimate may get smoothed into a plot with a tail extending into the negative value territory.&lt;br /&gt;
	&lt;br /&gt;
'''Cumulative probability option''': To change how the cumulative probability values are drawn or to change their resolution, select the respective option from the '''Analysis option''' popup menu.&lt;br /&gt;
	&lt;br /&gt;
[[File:Cumulative probability.png]]&lt;br /&gt;
&lt;br /&gt;
Analytica estimates the cumulative distribution function, like other uncertainty views, from the underlying array of sample values for each uncertain quantity. As with any simulation-based method, each estimated distribution has some noise and variability from one evaluation to the next. Cumulative probability estimates are less susceptible to noise than, for example, probability density estimates.&lt;br /&gt;
&lt;br /&gt;
The '''Samples per CDF plot''' '''point''' setting controls the average number of sample values used to estimate each point on the cumulative distribution function (CDF) curve, which ultimately controls the number of points plotted on your result.&lt;br /&gt;
&lt;br /&gt;
The '''Equal X axis steps, Equal weighted probability steps''' and '''Equal sample probability steps''' control which points are used in plot of the cumulative probability. '''Equal X axis steps''' spaces points equally along the X axis. '''Equal weighted probability steps''' uses the sample to estimate a set of &amp;lt;code&amp;gt;m+!&amp;lt;/code&amp;gt; fractiles (quantiles), &amp;lt;code&amp;gt;Xp&amp;lt;/code&amp;gt;, at equal probability intervals, where &amp;lt;code&amp;gt;p=0, q, 2q, ... 1, &amp;lt;/code&amp;gt;and&amp;lt;code&amp;gt; q = 1/m&amp;lt;/code&amp;gt;. The cumulative probability is plotted at each of the points &amp;lt;code&amp;gt;Xp&amp;lt;/code&amp;gt;, increasing in equal steps along the vertical axis. Points are plotted closer together along the horizontal axis in the regions where the density is the greatest. '''Equal sample probability steps''' plots one point each at each nth sample point, where n is the sample per CDF plot point, ignoring the weight on each sample point when they are weighted differently. The cumulative probability up to the nth point is estimated and plotted. Equal weighted probability steps and '''Equal sample probability steps''' are exactly equivalent unless unequal sample weighting is employed (see [[Importance weighting]]).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== See Also ==&lt;br /&gt;
&amp;lt;footer&amp;gt;Probabilistic calculation / {{PAGENAME}} / Probability Distributions&amp;lt;/footer&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Uncertainty_Setup_dialog&amp;diff=38788</id>
		<title>Uncertainty Setup dialog</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Uncertainty_Setup_dialog&amp;diff=38788"/>
		<updated>2015-12-29T01:25:12Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: updated all of the broken links, fixed code tags&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Analytica User Guide]]&lt;br /&gt;
&amp;lt;breadcrumbs&amp;gt;Analytica User Guide &amp;gt; Expressing Uncertainty &amp;gt; {{PAGENAME}}&amp;lt;/breadcrumbs&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Use the '''Uncertainty Setup''' dialog to inspect and change the sample size, sampling method, statistics, probability bands, and samples per plot point for probability distributions. All settings are saved with your model.&lt;br /&gt;
&lt;br /&gt;
To open the '''Uncertainty Setup''' dialog, select '''Uncertainty Options''' from the '''Result''' menu or ''Control+u''. To set values for a specific variable, select the variable before opening the dialog.&lt;br /&gt;
&lt;br /&gt;
The five options for viewing and changing information in the '''Uncertainty Setup''' dialog can be accessed using the '''Analysis option''' popup menu.&lt;br /&gt;
	&lt;br /&gt;
[[File:Analysis option.png]]&lt;br /&gt;
 &lt;br /&gt;
	&lt;br /&gt;
'''Uncertainty sample''': To change the sample size or sampling method for the model, select the '''Uncertainty Sample''' option from the '''Analysis option''' popup menu.&lt;br /&gt;
	&lt;br /&gt;
[[File:Uncertainity setup.png]]&lt;br /&gt;
&lt;br /&gt;
	&lt;br /&gt;
The default dialog shows only a field for sample size. To view and change the sampling method, random number method, or random seed, press the '''More Options''' button.&lt;br /&gt;
&lt;br /&gt;
[[File:Uncertainity setup 2.png]]&lt;br /&gt;
&lt;br /&gt;
'''Sample size''': This number specifies how many runs or iterations Analytica performs to estimate probability distributions. Larger sample sizes take more time and memory to compute, and produce smoother distributions and more precise statistics. See [[Selecting the Sample Size]] for guidelines on selecting a sample size. The sample size must be between 2 and 32,000. You can access this number in expressions in your models as the system variable ''[[SampleSize]]''.&lt;br /&gt;
	&lt;br /&gt;
'''Sampling method''': The sampling method is used to determine how to generate a random sample of the specified sample size, '''m''', for each uncertain quantity, '''X'''. Analytica provides three options:&lt;br /&gt;
	&lt;br /&gt;
'''''Simple Monte Carlo''''': The simplest sampling method is known as Monte Carlo, named after the randomness prevalent in games of chance, such as at the famous casino in Monte Carlo. In this method, each of the m sample points for each uncertainty quantity, '''X''', is generated at random from X with probability proportional to the probability density (or probability mass for discrete quantities) for '''X'''. Analytica uses the inverse cumulative method; it generates m uniform random values, &amp;lt;code&amp;gt;u&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;, for i=1,2,...m&amp;lt;/code&amp;gt;, between 0 and 1, using the specified random number method (see below). It then uses the inverse of the cumulative probability distribution to generate the corresponding values of '''X''',&lt;br /&gt;
	&lt;br /&gt;
&amp;lt;code&amp;gt;X&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt; where P( ) = u&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt; for i=1,2,...m&amp;lt;/code&amp;gt;&lt;br /&gt;
	&lt;br /&gt;
With the simple Monte Carlo method, each value of every random variable X in the model, including those computed from other random quantities, is a sample of m independent random values from the true probability distribution for X. You can therefore use standard statistical methods to estimate the accuracy of statistics, such as the estimated mean or fractiles of the distribution, as for example described in [[Selecting the Sample Size]].&lt;br /&gt;
	&lt;br /&gt;
'''''Median Latin hypercube (the default method)''''': With median Latin hypercube sampling, Analytica divides each uncertain quantity '''X''' into m equiprobable intervals, where m is the sample size. The sample points are the medians of the m intervals, that is, the fractiles&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;X&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt; where P( ) = (i-0.5)/m, for i=1,2,...m.&amp;lt;/code&amp;gt;&lt;br /&gt;
	&lt;br /&gt;
These points are then randomly shuffled so that they are no longer in ascending order, to avoid nonrandom correlations among different quantities.&lt;br /&gt;
	&lt;br /&gt;
'''''Random Latin hypercube''''': The random Latin hypercube method is similar to the median Latin hypercube method, except that instead of using the median of each of the m equiprobable intervals, Analytica samples at random from each interval. With random Latin hypercube sampling, each sample is a true random sample from the distribution. However, the samples are not totally independent.&lt;br /&gt;
	&lt;br /&gt;
'''Choosing a sampling method''': The advantage of Latin hypercube methods is that they provide more even distributions of samples for each distribution than simple Monte Carlo sampling. Median Latin hypercube is still more evenly distributed than random Latin hypercube. If you display the PDF of a variable that is defined as a single continuous distribution, or is dependent on a single continuous uncertain variable, using median Latin hypercube sampling, the distribution usually looks fairly smooth even with a small sample size (such as 20), whereas the result using simple Monte Carlo looks quite noisy.&lt;br /&gt;
	&lt;br /&gt;
If the variable depends on two or more uncertain quantities, the relative noise-reduction of Latin hypercube methods is reduced. If the result depends on many uncertain quantities, the performance of the Latin hypercube methods might not be discernibly better than simple Monte Carlo. Since the median Latin hypercube method is sometimes much better, and almost never worse than the others, Analytica uses it as the default method. Very rarely, median Latin hypercube can produce incorrect results, specifically when the model has a periodic function with a period similar to the size of the equiprobable intervals. For example:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;X := Uniform(1, Samplesize)&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;Y := Sin(2*Pi*X)&amp;lt;/code&amp;gt;&lt;br /&gt;
	&lt;br /&gt;
This median Latin hypercube method gives very poor results. In such cases, you should use random Latin hypercube or simple Monte Carlo. If your model has no periodic function of this kind, you do not need to worry about the reliability of median Latin hypercube sampling.&lt;br /&gt;
	&lt;br /&gt;
'''Random number method''': The random number method is used to determine how random numbers are generated for the probability distributions. Analytica provides three different methods for calculating a series of pseudorandom numbers.&lt;br /&gt;
	&lt;br /&gt;
'''''Minimal Standard (the default method)''''': The Minimal Standard random number generator is an implementation of Park and Miller’s Minimal Standard (based on a multiplicative congruential method) with a Bays-Durham shuffle. It gives satisfactory results for less than 100,000,000 samples.&lt;br /&gt;
	&lt;br /&gt;
'''''L’Ecuyer''''': The L’Ecuyer random number generator is an implementation of L’Ecuyer’s algorithm, based on a multiplicative congruential method, which gives a series of random numbers with a much longer period (sequence of numbers that repeat). Thus, it provides good random numbers even with more than 100,000,000 samples. It is slightly slower than the Minimal Standard generator.&lt;br /&gt;
	&lt;br /&gt;
'''''Knuth''''': Knuth’s algorithm is based on a subtractive method rather than a multiplicative congruential method. It is slightly faster than the Minimal Standard generator.&lt;br /&gt;
'''Random seed'''&lt;br /&gt;
	&lt;br /&gt;
This value must be a number between 0 and 100,000,000 (10&amp;lt;sup&amp;gt;8&amp;lt;/sup&amp;gt;). The series of random numbers starts from this seed value when:&lt;br /&gt;
	&lt;br /&gt;
* A model is opened.&lt;br /&gt;
&lt;br /&gt;
* The value in this field is changed.&lt;br /&gt;
	&lt;br /&gt;
* The Reset once box is checked, and the Uncertainty Setup dialog is closed by clicking the '''Accept''' or '''Set Default''' button.&lt;br /&gt;
	&lt;br /&gt;
'''Rest once''': Check the ''Reset once'' box to produce the exact same series of random numbers&lt;br /&gt;
	&lt;br /&gt;
'''Statistics option''': To change the statistics reported when you select Statistics as the uncertainty view for a result, select the Statistics option from the Analysis option popup menu.&lt;br /&gt;
	&lt;br /&gt;
[[File:Statistic option.png]]&lt;br /&gt;
 &lt;br /&gt;
'''Probability Bands option''': To change the probability bands displayed when you select '''Probability Bands''' as the uncertainty view for a result, select the '''Probability Bands''' option from the '''Analysis option''' popup menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Probability band.png]]&lt;br /&gt;
&lt;br /&gt;
'''Probability density option''': To change how probability density is estimated and drawn, select '''Probability Density''' from the '''Analysis option''' popup menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Probability density.png]]&lt;br /&gt;
&lt;br /&gt;
Analytica estimates the probability density function, like other uncertainty views, from the underlying array of sample values for each uncertain quantity. The probability density is highly susceptible to random sampling variation and noise. Both histogramming and kernel density smoothing techniques are available for estimating the probability density from the sample, but to ultimately reduce noise and variability it may be necessary to increase sample size (for details on selecting the sample size, see [[Selecting the Sample Size]]). The following example graphs compare the two methods on the same uncertain result:&lt;br /&gt;
&lt;br /&gt;
[[File:Histogram.png]]&lt;br /&gt;
&lt;br /&gt;
'''Histogram''': The histogram estimation methods partition the space of possible continuous values into bins, and then tally how many samples land in each bin. The probability density is then equal to the fraction of the Monte Carlo sample landing in a given bin divided by the bin’s width. The average number of points landing in each bin determines both the smoothness of the resulting function and the resolution of the resulting plot. With more bins, a finer resolution is obtained, but since fewer points land in each bin, the amount of random fluctuation increases resulting in a noisier plot. '''The Samples per PDF step interval''' setting sizes the bin width to match the average number of points per bin.&lt;br /&gt;
With larger sample sizes, you can increase the '''Samples per PDF step interval''' to achieve smoother plots, since more samples will land in each bin. A number approximately equal to the square root of sample size tends to work fairly well.&lt;br /&gt;
&lt;br /&gt;
You can also control how the partitioning of the space of values is performed. When '''Equal X axis steps''' is used, the range of values from the smallest to largest sample point is partitioned into equal sized bins. With this method, all bins have the same width, but the number of points falling in each bin varies. When '''Equal weighted probability steps''' is used, the bins are sized so that each bin contains approximately the same fraction of the total probability. With this method, the fraction of the sample in each bin is nearly constant, but the width of each bin varies. When '''Equal sample probability steps''' is used, the bins are partitioned so that the number of sample points in each bin is constant, with the width of each bin again varying. '''Equal weighted probability steps''' and '''Equal sample probability steps''' are exactly equivalent when standard equally-weighted Monte Carlo or Latin Hypercube sampling is being used. They differ when the Sample Weighting system variable assigns different weights to each sample along the Run index, as is sometimes employed with importance sampling, logic sampling for posterior analysis, and rare-event modeling. See [[Importance weights|Importance weighting]].&lt;br /&gt;
&lt;br /&gt;
Probability density plots using the histogram method default to the '''Step''' chart type, which emphasizes the histogram and reveals the bin placements. When desired, this can be changed to the standard line style from the '''Graph Setup''', see [[Graph setup dialog|Chart Type tab]].&lt;br /&gt;
&lt;br /&gt;
'''Smoothing''': The smoothing method estimates probability density using a technique known as Kernel Density Estimation (KDE) or Kernel Density Smoothing. This technique replaces each Monte Carlo sample with a Gaussian curve, called a Kernel, and then sums the curve to obtain the final continuous curve. Unlike a histogram, the degree of smoothness and the resolution of the plot are independent. The '''Smoothing factor''' controls the smoothness or amount of detail in the estimated PDF. The more info button next to the '''Smoothing''' radio control jumps to a page on the Analytica Wiki that elaborates in more detail on how kernel density smoothing works.&lt;br /&gt;
&lt;br /&gt;
Due to the randomness of Monte Carlo sampling, estimations of probability density are often quite noisy. The '''Smoothing''' method can often provide smoother and more intuitively appealing plots than '''Histogram''' methods, but the averaging effects inherent in '''smoothing''' can also introduce some minor artifacts. In particular, Smoothing tends to increase the apparent variance in your result slightly, with a greater increase when the '''Smoothing''' factor is greater. This increase in variance is also seen as a decrease in the height of peaks. Sharp cutoffs (such as is the case with a '''Uniform''' distribution, for example) become rounded with a decaying tail past the cutoff point. And when positive-only distributions begin with a very sharp rise, the density estimate may get smoothed into a plot with a tail extending into the negative value territory.&lt;br /&gt;
	&lt;br /&gt;
'''Cumulative probability option''': To change how the cumulative probability values are drawn or to change their resolution, select the respective option from the '''Analysis option''' popup menu.&lt;br /&gt;
	&lt;br /&gt;
[[File:Cumulative probability.png]]&lt;br /&gt;
&lt;br /&gt;
Analytica estimates the cumulative distribution function, like other uncertainty views, from the underlying array of sample values for each uncertain quantity. As with any simulation-based method, each estimated distribution has some noise and variability from one evaluation to the next. Cumulative probability estimates are less susceptible to noise than, for example, probability density estimates.&lt;br /&gt;
&lt;br /&gt;
The '''Samples per CDF plot''' '''point''' setting controls the average number of sample values used to estimate each point on the cumulative distribution function (CDF) curve, which ultimately controls the number of points plotted on your result.&lt;br /&gt;
&lt;br /&gt;
The '''Equal X axis steps, Equal weighted probability steps''' and '''Equal sample probability steps''' control which points are used in plot of the cumulative probability. '''Equal X axis steps''' spaces points equally along the X axis. '''Equal weighted probability steps''' uses the sample to estimate a set of &amp;lt;code&amp;gt;m+!&amp;lt;/code&amp;gt; fractiles (quantiles), &amp;lt;code&amp;gt;Xp, at equal probability intervals, where&amp;lt;code&amp;gt; &amp;lt;code&amp;gt;p=0, q, 2q, ... 1, &amp;lt;/code&amp;gt;and&amp;lt;code&amp;gt;&amp;lt;code&amp;gt; q = 1/m&amp;lt;/code&amp;gt;. The cumulative probability is plotted at each of the points &amp;lt;code&amp;gt;Xp&amp;lt;/code&amp;gt;, increasing in equal steps along the vertical axis. Points are plotted closer together along the horizontal axis in the regions where the density is the greatest. '''Equal sample probability steps''' plots one point each at each nth sample point, where n is the sample per CDF plot point, ignoring the weight on each sample point when they are weighted differently. The cumulative probability up to the nth point is estimated and plotted. Equal weighted probability steps and '''Equal sample probability steps''' are exactly equivalent unless unequal sample weighting is employed (see [[Importance weighting]]).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== See Also ==&lt;br /&gt;
&amp;lt;nowiki&amp;gt;&amp;lt;footer&amp;gt;Probabilistic calculation / &amp;lt;/nowiki&amp;gt;{{PAGENAME}} / Probability Distributions&amp;lt;nowiki&amp;gt;&amp;lt;/footer&amp;gt;&amp;lt;/nowiki&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Probabilistic_calculation&amp;diff=38786</id>
		<title>Probabilistic calculation</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Probabilistic_calculation&amp;diff=38786"/>
		<updated>2015-12-29T01:17:30Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* See Also */ updating formatting&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Analytica User Guide]]&lt;br /&gt;
&amp;lt;breadcrumbs&amp;gt;Analytica User Guide &amp;gt; Expressing Uncertainty &amp;gt; {{PAGENAME}}&amp;lt;/breadcrumbs&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Analytica can calculate the value of each variable deterministically -- generating its [[Mid]] value -- or probabilistically, generating a probability distribution -- its [[Evaluation Modes|Prob value]] -- if the definition of the variable or any of its predecessors contains a probability distribution.  It does probabilistic calculation as a random sample of values from the actual probability distribution for each uncertain quantity. Each probabilistic value is represented internally as a sample, an array of the sample values indexed by [[Run]]. '''Run''' is a system index variable that identifies each sample iteration by an integer from 1 to [[SampleSize|Samplesize]].&lt;br /&gt;
&lt;br /&gt;
You can display a probabilistic value using a variety of [[Uncertainty view of a result|uncertainty view options]] — including mean, statistics, probability bands, probability density (or mass function), cumulative distribution function, and Sample view. All these views are derived or estimated from the underlying sample array, which you can see directly in the Sample view. For example, with a Samplesize = 6, here is the probabilistic value of A:&lt;br /&gt;
&lt;br /&gt;
'''Example'''&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;A := Normal(10, 2) →&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | Iteration (Run) &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!1&lt;br /&gt;
!2&lt;br /&gt;
!3&lt;br /&gt;
!4&lt;br /&gt;
!5&lt;br /&gt;
!6&lt;br /&gt;
|-&lt;br /&gt;
|10.74&lt;br /&gt;
|13.2&lt;br /&gt;
|9.092&lt;br /&gt;
|11.44&lt;br /&gt;
|9.519&lt;br /&gt;
|13.03&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;tip title=&amp;quot;Tip&amp;quot;&amp;gt; The values in a sample are generated at random from the distribution; if you try this example and display the result as a table, you might see values different from those shown here. To reproduce this example, reset the random number seed to 99 and use the default sampling method and random number method (see “[[Uncertainty Setup dialog]]”''.&amp;lt;/tip&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For each sample run, a random value is generated from each probability distribution in the model. Output variables of uncertain variables are calculated by calculating a value for each value of ''Run''.&lt;br /&gt;
&lt;br /&gt;
'''Example'''&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;B := Normal(5, 1) →&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | Iteration (Run) &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!1&lt;br /&gt;
!2&lt;br /&gt;
!3&lt;br /&gt;
!4&lt;br /&gt;
!5&lt;br /&gt;
!6&lt;br /&gt;
|-&lt;br /&gt;
|5.09&lt;br /&gt;
|4.94&lt;br /&gt;
|4.65&lt;br /&gt;
|6.60&lt;br /&gt;
|5.24&lt;br /&gt;
|6.96&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;C := A + B →&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!! colspan=&amp;quot;6&amp;quot; style=&amp;quot;text-align: left;&amp;quot; | Iteration (Run) &amp;amp;#9654;&lt;br /&gt;
|-&lt;br /&gt;
!1&lt;br /&gt;
!2&lt;br /&gt;
!3&lt;br /&gt;
!4&lt;br /&gt;
!5&lt;br /&gt;
!6&lt;br /&gt;
|-&lt;br /&gt;
|15.83&lt;br /&gt;
|18.13&lt;br /&gt;
|13.75&lt;br /&gt;
|18.04&lt;br /&gt;
|14.76&lt;br /&gt;
|19.99&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Notice that each sample value of '''C''' is equal to the sum of the corresponding values of '''A''' and '''B'''.&lt;br /&gt;
To control the probabilistic simulation, as well as views of probabilistic results, use the [[Uncertainty Setup dialog]].&lt;br /&gt;
&lt;br /&gt;
&amp;lt;tip title=&amp;quot;Tip&amp;quot;&amp;gt;If you try to apply an '''[[array-reducing function]]''' to a probability distribution across Run,&lt;br /&gt;
Analytica returns the distribution’s mid value.''&amp;lt;/tip&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''Example:'''&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;X := Beta(2, 3)&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;Mid(X) → 0.3857 and Max(X, Run) → 0.3857&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
To evaluate the input parameters probabilistically and reduce across Run, use [[Sample]]().&lt;br /&gt;
&lt;br /&gt;
'''Example:'''&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;Max(Sample(X), Run) → 0.8892&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== See Also ==&lt;br /&gt;
*[[Uncertainty view of a result]]&lt;br /&gt;
*[[Evaluation Modes]]&lt;br /&gt;
*[[Mid]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;footer&amp;gt;Including a distribution in a definition/ {{PAGENAME}} / Uncertainty Setup dialog &amp;lt;/footer&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Defining_a_variable_as_a_distribution&amp;diff=38785</id>
		<title>Defining a variable as a distribution</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Defining_a_variable_as_a_distribution&amp;diff=38785"/>
		<updated>2015-12-29T01:16:13Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: updated see using a library link&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Analytica User Guide]]&lt;br /&gt;
&amp;lt;breadcrumbs&amp;gt;Analytica User Guide &amp;gt; Expressing Uncertainty &amp;gt; {{PAGENAME}}&amp;lt;/breadcrumbs&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
To define a variable as an Analytica probability distribution, first select the variable and open either the variable’s '''[[Object window]]''' or the '''[[Attribute panel]]''' of the diagram with '''[[Definition]]''' selected from the '''Attribute''' popup menu.&lt;br /&gt;
&lt;br /&gt;
To define the distribution:&lt;br /&gt;
# Click the '''''expr''''' menu above the definition field and select '''Distribution'''.&lt;br /&gt;
[[File:Menu.png]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
# The '''Object Finder''' opens, showing the Distribution library.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:Distribution library.png]]&lt;br /&gt;
&lt;br /&gt;
# Select the distribution you wish to use.&lt;br /&gt;
# Enter the values for the parameters. You can use an expression or refer to other variables by name in the parameter fields.&lt;br /&gt;
# Click OK to accept the distribution.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If the parameters of the distribution are single numbers, a button appears with the name of the distribution, indicating that the variable is defined as a distribution. To edit the parameters, click this button.&lt;br /&gt;
&lt;br /&gt;
[[File:Button.png]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If the parameters of the distribution are complex expressions, the distribution displays as an expression. For example:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;Normal((Price/Mpy)*Mpg, Mpg/10)&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''Entering a distribution as an expression'''&lt;br /&gt;
&lt;br /&gt;
Alternatively, you can directly enter a distribution as an expression:&lt;br /&gt;
# Set the cursor in the definition field and type in the distribution name and parameters, for example - ''[[Normal]](.105, 0.015)''&lt;br /&gt;
# Press ''Alt-Enter'' or click the[[File:checks.png|centre|18x18px]]button.&lt;br /&gt;
&lt;br /&gt;
You can also paste a distribution from the Distribution library in the '''[[Definition]]''' menu (see [[User Libraries#Using a library | Using a library]]).&lt;br /&gt;
&lt;br /&gt;
You can edit a distribution as an expression, whether it was entered as a distribution from the Distribution library or as an expression, by selecting '''expr''' from the '''expr''' menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Expression.png]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== See Also ==&lt;br /&gt;
&amp;lt;footer&amp;gt;Choosing an appropriate distribution / {{PAGENAME}} / Including a distribution in a definition &amp;lt;/footer&amp;gt;&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Analytica_Cloud_Platform&amp;diff=38610</id>
		<title>Analytica Cloud Platform</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Analytica_Cloud_Platform&amp;diff=38610"/>
		<updated>2015-12-24T23:51:46Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: /* Comparison Table */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is ACP?==&lt;br /&gt;
&lt;br /&gt;
* The Analytica Cloud Player (ACP) lets you view, run, and share Analytica models via the web. &lt;br /&gt;
* ACP users don’t need to install any software. They just need a web browser. &lt;br /&gt;
* ACP is similar to Analytica in browse mode. It lets you view and run models, and change inputs, but it doesn’t let you edit model expressions or add variables. &lt;br /&gt;
* Analytica modelers can instantly upload models to ACP from Analytica by selecting '''Publish to Web...''' from the '''File''' menu.&lt;br /&gt;
* You can be sure that all users of your model via ACP have the latest version of a model and its data -- not so easy if you are distributing a model to end users to run with desktop Analytica.&lt;br /&gt;
*ACP offers some user-interface and navigation styles not available in Analytica to help you can adapt your model’s user interface for convenient use on the web: &lt;br /&gt;
**Tab-based navigation: Top level modules become tabs&lt;br /&gt;
** You can [[ACP Rendering tables and graphs on the diagram | embed tables and graphs]] in a diagram using Frames.&lt;br /&gt;
** You can easily select user-interface options using the [[ACP Style Library]].&lt;br /&gt;
&lt;br /&gt;
===How do you use ACP?===&lt;br /&gt;
*You can upload your model to ACP immediately from inside Analytica. Just select '''Publish to Web''' from the '''File''' menu.&lt;br /&gt;
*The first time, it will prompt you to start up an ACP account.&lt;br /&gt;
*It gives you a directory for managing and starting your models in ACP.&lt;br /&gt;
*Once your ACP account is set up, you can [https://www.analyticacloud.com/acp/Client/AnalyticaCloudPlayer.aspx log in to ACP] to access your account from a web browser.&lt;br /&gt;
*You can also upload your model to ACP from the web browser. Just log in to ACP from a browser and press the '''Upload''' button at the bottom of the model directory.&lt;br /&gt;
*You can email anyone a link to your ACP model, or embed the link in a web page. These users can review model, change inputs, and view outputs, but not save changes. Just log in to ACP from a browser and press the '''Invite''' button at the bottom of the model directory to generate an Invite email. The link shown in the email can be used to access the model as a guest.&lt;br /&gt;
&lt;br /&gt;
== Features and price by subscription type ==&lt;br /&gt;
===Comparison Table===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
!&lt;br /&gt;
! Individual Account&lt;br /&gt;
without Analytica Support&lt;br /&gt;
! Individual Account with &lt;br /&gt;
Analytica Support&lt;br /&gt;
! Basic Group Account&lt;br /&gt;
! Premium Group Account&lt;br /&gt;
! [[ACP Server License]]&lt;br /&gt;
|-&lt;br /&gt;
| Publish Models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Email Invites &amp;amp; Anonymous Views&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Named Users &amp;amp; Roles&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Access Control&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| [[Save Snapshots in ACP |Save Snapshots]]&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Shared Project Folders&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Customizable Logo&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Sessions&lt;br /&gt;
| 25 total&lt;br /&gt;
| 25 / month&lt;br /&gt;
| 500 / month&lt;br /&gt;
| 1200 / month&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Maximum Number of Users&lt;br /&gt;
| 1&lt;br /&gt;
| 1&lt;br /&gt;
| 10&lt;br /&gt;
| 25&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Additional Sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Maximum File Size&lt;br /&gt;
| 25 MB&lt;br /&gt;
| 25 MB&lt;br /&gt;
| 50MB&lt;br /&gt;
| 200MB&lt;br /&gt;
| 200 MB&lt;br /&gt;
|-&lt;br /&gt;
| CPU minutes per calculation&lt;br /&gt;
| 1 minute&lt;br /&gt;
| 1 minute&lt;br /&gt;
| 2 minutes&lt;br /&gt;
| 5 minutes&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Optimizer&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt; &lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt; &lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
| Available add-on&lt;br /&gt;
|-&lt;br /&gt;
| Price&lt;br /&gt;
| Free&lt;br /&gt;
| Free, included &lt;br /&gt;
with support&lt;br /&gt;
| $250/month or&lt;br /&gt;
$2,000/year&lt;br /&gt;
| $5,000/year&lt;br /&gt;
| Call (+1) 650-212-1212 or Sales@Lumina.com&lt;br /&gt;
|}&lt;br /&gt;
*A '''''session''''' is one or model model runs between log ins.&lt;br /&gt;
**A session starts when you first run a model after logging into ACP. &lt;br /&gt;
**Viewing model listings does not use a session.&lt;br /&gt;
**A session ends after a run of 20 minutes of inactivity, when switching to a different browser is used, or when you log out.&lt;br /&gt;
*You can buy '''extra sessions''' at $25 per 25 sessions at [https://www.lumina.com/shoppingcart/acpcredits/ Buy ACP Session Credits].&lt;br /&gt;
*You can buy a Basic Group Plan at [http://www.lumina.com/shoppingcart/acpgrouplan/ Buy/Renew ACP Group Plan]. To buy a Premium Group Plan, call (+1) 650-212-1212 or Sales@Lumina.com.&lt;br /&gt;
*The initial 25 sessions for an Individual Account without support never expire. Monthly sessions expire after one month.&lt;br /&gt;
*'''Maximum model file size''' is 25MB for individual accounts, 50MB for the Basic Group Plan, and 200MB for the Premium Group Plan or ACP Server License.&lt;br /&gt;
*'''''CPU Minutes per calculation: ''' ''For large calculations (e.g. when you click a variable to display), ACP will time out after 1 minute of CPU time for Individual Accounts, 2 minutes for the Basic Group Plan, 5 minutes for the Premium Group Plan, and no limit for ACP on your server. The server is shared, so 2 CPU minutes may take quite a bit more than 2 actual minutes.&lt;br /&gt;
&lt;br /&gt;
===A Basic or Premium Group Plan===&lt;br /&gt;
*Multiple users can collaborate on a Group plan.&lt;br /&gt;
*Each user has their own account and password.&lt;br /&gt;
*Users can be Reviewers (run and read only), Authors (can also upload and delete models), or Administrators (can also set up people as Reviewers and Authors).&lt;br /&gt;
*A group plan can have multiple Projects containing a directory of models.&lt;br /&gt;
*Each user can be a member of selected Projects. You can’t see models in a Project unless you are member.&lt;br /&gt;
*Lumina logo at upper left corner of ACP window can be changed to your organization's logo.&lt;br /&gt;
&lt;br /&gt;
===ACP Server Licenser===&lt;br /&gt;
You may purchase an ACP license to install [[ACP Server License|on your own server]]. This lets your users run more or larger models without having to share server resources with other customers. It also lets you access it via a corporate intranet and apply extra security for confidential or proprietary models and data. See [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
==Security==&lt;br /&gt;
ACP is a secure way to share models:&lt;br /&gt;
*ACP uses a https for data transfer&lt;br /&gt;
*Data input is not saved unless the user explicitly saves a snapshot of the model&lt;br /&gt;
*Snapshots are private by default (although the user can change them to public)&lt;br /&gt;
*When a model is uploaded or saved, it can be encrypted using the &amp;quot;lock and encrypt model feature&amp;quot;&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
* [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
* [[ACP Style Library]]&lt;br /&gt;
* [[CloudPlayerStyles Attribute Values]]&lt;br /&gt;
* [[ACP miscellaneous | ACP: Explanation of some features not mentioned elsewhere]]&lt;br /&gt;
* [[ACP Group Accounts | Miscellaneous ACP Group account features]]&lt;br /&gt;
* [[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
&amp;lt;!--[[Embedding an ACP model in a Web Page]]--&amp;gt;&lt;br /&gt;
* [[Embed an ACP model in a Web Page]]&lt;br /&gt;
&amp;lt;!--[[Putting ACP in a Web Page]]--&amp;gt;&lt;br /&gt;
* [[Save Snapshots in ACP]]&lt;br /&gt;
* [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
*[[Spreadsheets in ACP]]&lt;br /&gt;
* [[What's new in ACP?]]&lt;br /&gt;
* [[Special ACP features]]&lt;br /&gt;
* [[Future ACP Features]]&lt;br /&gt;
* Example models:&lt;br /&gt;
** [https://www.analyticacloud.com/acp/Client/AcpClient.aspx?inviteId=3&amp;amp;inviteCode=221703&amp;amp;subName=acp%20demos Play the Rent vs. Buy model in ACP.]  The Rent vs. Buy model is an example model used in the Analytica Tutorial. It compares the Net Present Value of renting vs. buying a house.  Model navigation is fairly intuitive. You can switch diagrams by clicking on modules or selecting different modules in the outline tree located on the left side of the diagram. Clicking on a variable displays its result graph or table. Move the mouse over a node to see its description. Right click on a node and select 'Object view' from the popup menu to view the node's attributes in the object tab, notably its definition.&lt;br /&gt;
** [https://www.analyticacloud.com/acp/Client/AcpClient.aspx?inviteId=5&amp;amp;inviteCode=730213&amp;amp;subName=acp%20demos Play the Foxes and Hares model in ACP.]  The Foxes and Hares model is a predator-prey example model also used in the Tutorial. When playing this model ACP adds beveled gradients and drop shadows to nodes on the influence diagram. Also, the default tabbed UI has been removed. You can see node descriptions and definitions when you move the cursor over a node. It displays model results directly on the diagram.&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Analytica_Cloud_Platform&amp;diff=38609</id>
		<title>Analytica Cloud Platform</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Analytica_Cloud_Platform&amp;diff=38609"/>
		<updated>2015-12-24T23:49:49Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: changes for compliance with new account names&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==What is ACP?==&lt;br /&gt;
&lt;br /&gt;
* The Analytica Cloud Player (ACP) lets you view, run, and share Analytica models via the web. &lt;br /&gt;
* ACP users don’t need to install any software. They just need a web browser. &lt;br /&gt;
* ACP is similar to Analytica in browse mode. It lets you view and run models, and change inputs, but it doesn’t let you edit model expressions or add variables. &lt;br /&gt;
* Analytica modelers can instantly upload models to ACP from Analytica by selecting '''Publish to Web...''' from the '''File''' menu.&lt;br /&gt;
* You can be sure that all users of your model via ACP have the latest version of a model and its data -- not so easy if you are distributing a model to end users to run with desktop Analytica.&lt;br /&gt;
*ACP offers some user-interface and navigation styles not available in Analytica to help you can adapt your model’s user interface for convenient use on the web: &lt;br /&gt;
**Tab-based navigation: Top level modules become tabs&lt;br /&gt;
** You can [[ACP Rendering tables and graphs on the diagram | embed tables and graphs]] in a diagram using Frames.&lt;br /&gt;
** You can easily select user-interface options using the [[ACP Style Library]].&lt;br /&gt;
&lt;br /&gt;
===How do you use ACP?===&lt;br /&gt;
*You can upload your model to ACP immediately from inside Analytica. Just select '''Publish to Web''' from the '''File''' menu.&lt;br /&gt;
*The first time, it will prompt you to start up an ACP account.&lt;br /&gt;
*It gives you a directory for managing and starting your models in ACP.&lt;br /&gt;
*Once your ACP account is set up, you can [https://www.analyticacloud.com/acp/Client/AnalyticaCloudPlayer.aspx log in to ACP] to access your account from a web browser.&lt;br /&gt;
*You can also upload your model to ACP from the web browser. Just log in to ACP from a browser and press the '''Upload''' button at the bottom of the model directory.&lt;br /&gt;
*You can email anyone a link to your ACP model, or embed the link in a web page. These users can review model, change inputs, and view outputs, but not save changes. Just log in to ACP from a browser and press the '''Invite''' button at the bottom of the model directory to generate an Invite email. The link shown in the email can be used to access the model as a guest.&lt;br /&gt;
&lt;br /&gt;
== Features and price by subscription type ==&lt;br /&gt;
===Comparison Table===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
!&lt;br /&gt;
! Individual Account&lt;br /&gt;
without Analytica Support&lt;br /&gt;
! Individual Account with &lt;br /&gt;
Analytica Support&lt;br /&gt;
! Basic Group Account&lt;br /&gt;
! Premium Group Account&lt;br /&gt;
! ACP Server License&lt;br /&gt;
|-&lt;br /&gt;
| Publish Models&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Email Invites &amp;amp; Anonymous Views&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Named Users &amp;amp; Roles&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Access Control&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| [[Save Snapshots in ACP |Save Snapshots]]&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Shared Project Folders&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Customizable Logo&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| Sessions&lt;br /&gt;
| 25 total&lt;br /&gt;
| 25 / month&lt;br /&gt;
| 500 / month&lt;br /&gt;
| 1200 / month&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Maximum Number of Users&lt;br /&gt;
| 1&lt;br /&gt;
| 1&lt;br /&gt;
| 10&lt;br /&gt;
| 25&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Additional Sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| $25 for 25 sessions&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Maximum File Size&lt;br /&gt;
| 25 MB&lt;br /&gt;
| 25 MB&lt;br /&gt;
| 50MB&lt;br /&gt;
| 200MB&lt;br /&gt;
| 200 MB&lt;br /&gt;
|-&lt;br /&gt;
| CPU minutes per calculation&lt;br /&gt;
| 1 minute&lt;br /&gt;
| 1 minute&lt;br /&gt;
| 2 minutes&lt;br /&gt;
| 5 minutes&lt;br /&gt;
| Unlimited&lt;br /&gt;
|-&lt;br /&gt;
| Optimizer&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt; &lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt; &lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#B22222&amp;quot;&amp;gt;✗&amp;lt;/span&amp;gt;&lt;br /&gt;
|&amp;lt;span style=&amp;quot;color:#32CD32&amp;quot;&amp;gt;'''✓'''&amp;lt;/span&amp;gt;&lt;br /&gt;
| Available add-on&lt;br /&gt;
|-&lt;br /&gt;
| Price&lt;br /&gt;
| Free&lt;br /&gt;
| Free, included &lt;br /&gt;
with support&lt;br /&gt;
| $250/month or&lt;br /&gt;
$2,000/year&lt;br /&gt;
| $5,000/year&lt;br /&gt;
| Call (+1) 650-212-1212 or Sales@Lumina.com&lt;br /&gt;
|}&lt;br /&gt;
*A '''''session''''' is one or model model runs between log ins.&lt;br /&gt;
**A session starts when you first run a model after logging into ACP. &lt;br /&gt;
**Viewing model listings does not use a session.&lt;br /&gt;
**A session ends after a run of 20 minutes of inactivity, when switching to a different browser is used, or when you log out.&lt;br /&gt;
*You can buy '''extra sessions''' at $25 per 25 sessions at [https://www.lumina.com/shoppingcart/acpcredits/ Buy ACP Session Credits].&lt;br /&gt;
*You can buy a Basic Group Plan at [http://www.lumina.com/shoppingcart/acpgrouplan/ Buy/Renew ACP Group Plan]. To buy a Premium Group Plan, call (+1) 650-212-1212 or Sales@Lumina.com.&lt;br /&gt;
*The initial 25 sessions for an Individual Account without support never expire. Monthly sessions expire after one month.&lt;br /&gt;
*'''Maximum model file size''' is 25MB for individual accounts, 50MB for the Basic Group Plan, and 200MB for the Premium Group Plan or ACP Server License.&lt;br /&gt;
*'''''CPU Minutes per calculation: ''' ''For large calculations (e.g. when you click a variable to display), ACP will time out after 1 minute of CPU time for Individual Accounts, 2 minutes for the Basic Group Plan, 5 minutes for the Premium Group Plan, and no limit for ACP on your server. The server is shared, so 2 CPU minutes may take quite a bit more than 2 actual minutes.&lt;br /&gt;
&lt;br /&gt;
===A Basic or Premium Group Plan===&lt;br /&gt;
*Multiple users can collaborate on a Group plan.&lt;br /&gt;
*Each user has their own account and password.&lt;br /&gt;
*Users can be Reviewers (run and read only), Authors (can also upload and delete models), or Administrators (can also set up people as Reviewers and Authors).&lt;br /&gt;
*A group plan can have multiple Projects containing a directory of models.&lt;br /&gt;
*Each user can be a member of selected Projects. You can’t see models in a Project unless you are member.&lt;br /&gt;
*Lumina logo at upper left corner of ACP window can be changed to your organization's logo.&lt;br /&gt;
&lt;br /&gt;
===ACP Server Licenser===&lt;br /&gt;
You may purchase an ACP license to install [[ACP Server License|on your own server]]. This lets your users run more or larger models without having to share server resources with other customers. It also lets you access it via a corporate intranet and apply extra security for confidential or proprietary models and data. See [[ACP Server License]]&lt;br /&gt;
&lt;br /&gt;
==Security==&lt;br /&gt;
ACP is a secure way to share models:&lt;br /&gt;
*ACP uses a https for data transfer&lt;br /&gt;
*Data input is not saved unless the user explicitly saves a snapshot of the model&lt;br /&gt;
*Snapshots are private by default (although the user can change them to public)&lt;br /&gt;
*When a model is uploaded or saved, it can be encrypted using the &amp;quot;lock and encrypt model feature&amp;quot;&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
* [[Differences between ACP and Desktop Analytica]]&lt;br /&gt;
* [[ACP Style Library]]&lt;br /&gt;
* [[CloudPlayerStyles Attribute Values]]&lt;br /&gt;
* [[ACP miscellaneous | ACP: Explanation of some features not mentioned elsewhere]]&lt;br /&gt;
* [[ACP Group Accounts | Miscellaneous ACP Group account features]]&lt;br /&gt;
* [[ACP Rendering tables and graphs on the diagram]]&lt;br /&gt;
&amp;lt;!--[[Embedding an ACP model in a Web Page]]--&amp;gt;&lt;br /&gt;
* [[Embed an ACP model in a Web Page]]&lt;br /&gt;
&amp;lt;!--[[Putting ACP in a Web Page]]--&amp;gt;&lt;br /&gt;
* [[Save Snapshots in ACP]]&lt;br /&gt;
* [[Transferring Data Between ACP and Desktop Analytica]]&lt;br /&gt;
*[[Spreadsheets in ACP]]&lt;br /&gt;
* [[What's new in ACP?]]&lt;br /&gt;
* [[Special ACP features]]&lt;br /&gt;
* [[Future ACP Features]]&lt;br /&gt;
* Example models:&lt;br /&gt;
** [https://www.analyticacloud.com/acp/Client/AcpClient.aspx?inviteId=3&amp;amp;inviteCode=221703&amp;amp;subName=acp%20demos Play the Rent vs. Buy model in ACP.]  The Rent vs. Buy model is an example model used in the Analytica Tutorial. It compares the Net Present Value of renting vs. buying a house.  Model navigation is fairly intuitive. You can switch diagrams by clicking on modules or selecting different modules in the outline tree located on the left side of the diagram. Clicking on a variable displays its result graph or table. Move the mouse over a node to see its description. Right click on a node and select 'Object view' from the popup menu to view the node's attributes in the object tab, notably its definition.&lt;br /&gt;
** [https://www.analyticacloud.com/acp/Client/AcpClient.aspx?inviteId=5&amp;amp;inviteCode=730213&amp;amp;subName=acp%20demos Play the Foxes and Hares model in ACP.]  The Foxes and Hares model is a predator-prey example model also used in the Tutorial. When playing this model ACP adds beveled gradients and drop shadows to nodes on the influence diagram. Also, the default tabbed UI has been removed. You can see node descriptions and definitions when you move the cursor over a node. It displays model results directly on the diagram.&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_on_your_own_Server&amp;diff=38608</id>
		<title>ACP on your own Server</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_on_your_own_Server&amp;diff=38608"/>
		<updated>2015-12-24T23:49:19Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: Karenlee moved page ACP on your own Server to ACP Server License: Official License Name created&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;#REDIRECT [[ACP Server License]]&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=ACP_Server_License&amp;diff=38607</id>
		<title>ACP Server License</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=ACP_Server_License&amp;diff=38607"/>
		<updated>2015-12-24T23:49:19Z</updated>

		<summary type="html">&lt;p&gt;Karenlee: Karenlee moved page ACP on your own Server to ACP Server License: Official License Name created&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Any Analytica user can upload their models to share with others and run via a web browser using the [[Analytica Cloud Player]] (ACP). Normally, you use ACP hosted on a computer server managed by Lumina, either as individual Analytica user or as part of an ACP Group Subscription. You may also purchase an ACP license to run on a server managed by your own organization. Running ACP on your own server improves performance by letting you use a dedicated server computer instead of sharing a server with other ACP customers.  It also lets you apply higher customized security for confidential and proprietary models and data. Please contact sales@Lumina.com or call us at (+01)-650-1212 for more information.&lt;br /&gt;
&lt;br /&gt;
You may optionally include an Optimizer license with ACP on your own server if you want to run models that use solvers built with Analytica Optimizer.&lt;br /&gt;
&lt;br /&gt;
Below we provide an overview of the ACP server requirements, architecture, security, installation process, and updates.&lt;br /&gt;
&lt;br /&gt;
===Server Requirements===&lt;br /&gt;
The Analytica Cloud Player requires:&lt;br /&gt;
* Windows Server 2003, 2008, 2012, XP, Vista, 7, or 8.&lt;br /&gt;
* Internet Information Server (IIS), 7.0 or later preferred, with ASP.NET&lt;br /&gt;
* Minimum 4 GB RAM. 16GB+ recommended.&lt;br /&gt;
* You will need a 64-bit Windows operating system if your model requires more than 3GB of memory to run.&lt;br /&gt;
* (Optional) If you want to use HTTPS instead of HTTP, you need to have an SSL certificate installed.&lt;br /&gt;
&lt;br /&gt;
The Microsoft .NET framework 3.5 or later will also be installed if not already present during ACP installation.&lt;br /&gt;
===ACP Architecture===&lt;br /&gt;
&lt;br /&gt;
End users access and run ACP models via a standard internet browser, such as Internet Explorer, Fire Fox, or Google Chrome, running on each client computer.  Your browser must have Adobe Flash Player installed.  The web page loads ACP's ShockWave files (*.swf).  Both the browser directly and the ACP shockwave communicate with the ACP server.  &lt;br /&gt;
&lt;br /&gt;
ACP runs on a Windows server computer running any recent edition of Windows Server Operating System.&lt;br /&gt;
&lt;br /&gt;
[[image:ACP Data Flow.png|800x800px]]&lt;br /&gt;
&lt;br /&gt;
The ACP server has these software components, illustrated in the architecture diagram above:&lt;br /&gt;
* '''IIS/ASP NET''' web server support&lt;br /&gt;
* '''ACP Middleware''' DLLs using ASPX/ASPM.&lt;br /&gt;
* '''ADE:''' The Analytica Decision Engine (ADE) which runs Analytica model files created using Analytica on a desktop computer.&lt;br /&gt;
* '''Database:''' Optionally, ADE may read from and/or write to a database or spreadsheet, which may be installed on the same server or another database server.  It accesses a database using the same ODBC and SQL language query functions supported in Analytica. In this case, you will need to install a database ODBC server, such as Microsoft Analysis Services, My SQL, or other standard database that supports ODBC.&lt;br /&gt;
* '''Spreadsheets:''' Optionally, your models may access Excel spreadsheet files to read and/or write.  It uses the same spreadsheet access functions available in Analytica. To support this, you will need to install Microsoft Office with Microsoft Excel on the server.&lt;br /&gt;
&lt;br /&gt;
===ACP Security===&lt;br /&gt;
&lt;br /&gt;
You can configure ACP to run using HTTP or HTTPS.  HTTPS provides  industry-standard security for transferring data encrypted information over the internet.  It is the same protocol used for example for online banking.  To use HTTPS, you will need to purchase and install the SSL certificate for your server.  &lt;br /&gt;
&lt;br /&gt;
You can also encrypt your model files before uploading them to ACP, using standard features in Analytica Enterprise and Optimizer.  Open your model in Analytica and from the '''File''' menu select '''Save a copy in...'''.  This will display this dialog:&lt;br /&gt;
&lt;br /&gt;
[[image:Locked and encrypt.png]]&lt;br /&gt;
&lt;br /&gt;
Check the '''Lock and encrypt the copy''' checkbox indicated above to save a model in encrypted form. Analytica and ADE can run encrypted models, but there is no way to decrypt the source file. So, make sure to retain an unencrypted version of any model before encrypting it.&lt;br /&gt;
&lt;br /&gt;
ACP users' credentials are setup the same way as ACP on AnalyticaCloud.com.  ACP maintains an internal database with the users' credentials stored.  The internal database is actually an Analytica model file.  The passwords are encrypted using a one-way encryption algorithm.  What this means is that the passwords are encrypted and can be only used by ACP to see if sign-in credentials are correct, but cannot be decrypted or viewed. If a user forgets their password they should click '''Forgot your password?''' in the '''Sign on''' page (see below) to be emailed information to let them create a new one.&lt;br /&gt;
&lt;br /&gt;
[[image:Forgot password acp.png]]&lt;br /&gt;
&lt;br /&gt;
ACP does not currently support other authentication systems like Windows or Kerberos. Please ask Lumina if you are interested in doing so.&lt;br /&gt;
&lt;br /&gt;
==Installing ACP==&lt;br /&gt;
&lt;br /&gt;
Installing ACP on your server involves a series of simple steps, described below.  Typically the ACP installation is done via remote desktop connection by someone at Lumina working with an IT person in your organization who has admin privileges on the server. &lt;br /&gt;
&lt;br /&gt;
===1. Install ADE===&lt;br /&gt;
&lt;br /&gt;
The first step is to install Analytica Decision Engine (ADE).  You can download the ADE installer from the Lumina at http://lumina.com/support/downloads/  Usually you will want to use the ADE 64 bit edition (blue arrow below).  If your server is 32 bit (rare these days) then you should download ADE 32 bit instead.&lt;br /&gt;
&lt;br /&gt;
[[image:ADE Download.png]]&lt;br /&gt;
&lt;br /&gt;
When installing ADE you will need a valid Activation Code which Lumina will provide you when you purchase a license.  If you want to run models using the Analytica Optimizer functions, you will need a license and Activation Code for ACP with Optimizer.&lt;br /&gt;
&lt;br /&gt;
[[image:ADE Installer Activation Key.png]]&lt;br /&gt;
&lt;br /&gt;
==== 2. Configure IIS ====&lt;br /&gt;
Internet Information Services (IIS) is the Window's web server and ACP is installed as an &amp;quot;application&amp;quot;. Once ADE has been installed, you need to configure the server to allow IIS to launch ADE.  From the windows start menu, run '''dcomcnfg.exe''' and then give the IIS user name (usually '''DefaultAppPool''') permission to launch ADE.  Here's an screenshot from a Windows 2008 Server illustrating the process:&lt;br /&gt;
&lt;br /&gt;
[[image:ACP dcomcnfg.png]]&lt;br /&gt;
&lt;br /&gt;
Here's an example of installing ACP as an application on Windows 2008 Server with IIS 7:  &lt;br /&gt;
&lt;br /&gt;
[[image:ACP IIS Add Application.png]]&lt;br /&gt;
&lt;br /&gt;
===3. Install ACP Bundle===&lt;br /&gt;
&lt;br /&gt;
The ACP files required are distributed as a &amp;quot;bundle&amp;quot; which is typically a compressed archive like a &amp;quot;zip&amp;quot; file.  The bundle will be made for your particular server.  When configuring IIS, a folder for installing ACP was chosen.  You will extract the zip files into that folder.&lt;br /&gt;
&lt;br /&gt;
===4. Set Windows Security===&lt;br /&gt;
&lt;br /&gt;
Usually, you will need to set access permissions for users to the folder in which you have installed ACP.  Here is an example of setting up access permission in Window's Explorer, to give all Users access to the ACP folder:&lt;br /&gt;
&lt;br /&gt;
[[image:ACP explorer security.png]]&lt;br /&gt;
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====Updating ACP for a New Release====&lt;br /&gt;
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Lumina periodically issues new releases for ACP with new features and bug fixes. For as long as you have active maintenance and support (included free for 12 months when you purchase an ACP license or subscription),  Lumina will provide you free updates. We will provide instructions on how to perform each upgrade. Generally, the update consists of a few files to be copied into the ACP directory.&lt;/div&gt;</summary>
		<author><name>Karenlee</name></author>
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