Difference between revisions of "SampleCovariance"
Line 1: | Line 1: | ||
− | [[ | + | [[Category: Statistical Functions]] |
− | [[Category:Doc Status C]] <!-- For Lumina use, do not change --> | + | [[Category: Multivariate Distributions library functions]] |
+ | [[Category: Doc Status C]] <!-- For Lumina use, do not change --> | ||
== SampleCovariance(X, I, J, R) == | == SampleCovariance(X, I, J, R) == |
Revision as of 18:12, 23 February 2016
SampleCovariance(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.
- SampleCovariance(X: Array[I, R]; I, J, R: IndexType)
Library
Multivariate Distributions.ana
See Also
Comments
Enable comment auto-refresher