Difference between revisions of "SampleCorrelation"

 
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== Library ==
 
== Library ==
 
Multivariate Distributions library functions ([[media:Multivariate Distributions.ana |Multivariate Distributions.ana]])
 
Multivariate Distributions library functions ([[media:Multivariate Distributions.ana |Multivariate Distributions.ana]])
:Use '''File → Add Library...''' to add this library
+
:Use [[File menu|File]] → '''Add Library...''' to add this library
  
 
== Notes ==
 
== Notes ==

Latest revision as of 22:09, 24 May 2016


SampleCorrelation(X, I, J, R)

Returns a correlation matrix based on data in «X», where each data point is a vector indexed by «I», and the entries in the correlation matrix are the pair-wise correlations of the columns of data. A second index, «J», of size identical to «I», is required in order to index the 2-dimensional result.

Syntax:

SampleCorrelation(X : array[I, R]; I, J, R: IndexType)

Library

Multivariate Distributions library functions (Multivariate Distributions.ana)

Use FileAdd Library... to add this library

Notes

You can also use the built-in function Correlation to compute a correlation matrix. The built-in function is actually more flexible since it can also be used with sample weighting. The equivalent of SampleCorrelation(X, I, J, R) is:

Correlation(X, X[I = J], R)

See Also

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