Modelling Guide

Tips and guidelines from experts on how to model with Analytica.

Modeling tips

• Managing Memory and CPU Time for large models

• Debugging Hints

Intelligent Arrays and Array abstraction

• Array Abstraction
• Writing Array-Abstractable Definitions
• Array Manipulation Examples and Challenge Problems

• Expressions that don't array-abstract
• Associative vs. Positional Indexing
• Self-Indexed Arrays
• Implicit Dimensions (Lists, null-indexed arrays, unnamed dimensions)
• Local Indexes
• Table Splicing - edit tables based on computed indexes

Graphing

• Introduction to the Coordinate Index
  • Graphing a Probability Density
  • Making a Multi-D Scatter Plot
• Tornado Plots
• Gantt Charts
• Waterfall Charts
• Contour/Region Charts
• Stacked clustered bar charts
• Heat maps
• Substitutes for Tukey-style Box Plots

End-user interfaces

• Using Buttons
• Inserting Choice Controls in Edit Table Cells
• Introduction to SubTables
• Customizing Balloon Help
• Model building by mouse Enabling modelers to build models by copying nodes and drawing arrows
• Customizing the model interface styles for Cloud Player presentation

Uncertainty and probability distributions

• Expressing Uncertainty : Distributions, sampling methods, the Run index, etc.
• Mixture distributions

Optimizer issues

• DefineOptimization
• Formulations that Preserve Linearity for Optimization

Integrating with other applications

• Excel and Analytica
• Integrating with R: A Programming Environment for Data Analysis and Graphics
• OLE Linking
• Retrieving Content From the Web
• Querying an ODBC data source

Evaluation and caching

• Evaluation Modes
• Proactive Evaluation
• Controlling When Result Are Cached

User-defined functions and libraries

• User-Defined Functions

• Modules and Libraries : Organizing models and files for collaboration

Other concepts

• Analytica Object Classes
• Objects and Values
• Using References
• Modeling Changes over Time
• Parametric Analysis
• Scripting : Button scripts, typescript
• INF, NAN, Null, and Undefined
• Encoding Decision Trees as influence diagrams
• Collation Order, for text comparison and sorting
• For versus Var