Difference between revisions of "SampleCorrelation"
Line 11: | Line 11: | ||
== 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 | + | :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.
- SampleCorrelation(X : array[I, R]; I, J, R: IndexType)
Library
Multivariate Distributions library functions (Multivariate Distributions.ana)
- Use File → Add 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
Comments
Enable comment auto-refresher