Difference between revisions of "SampleCovariance"
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− | [[ | + | [[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) == | ||
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== Library == | == Library == | ||
− | + | Multivariate Distributions library functions ([[media:Multivariate Distributions.ana |Multivariate Distributions.ana]]) | |
+ | :Use [[File menu|File]] → '''Add Library...''' to add this library | ||
== See Also == | == See Also == | ||
+ | * [[Covariance]] | ||
* [[Correlation]] | * [[Correlation]] | ||
* [[SampleCorrelation]] | * [[SampleCorrelation]] | ||
+ | * [[Variance]] | ||
* [[Gaussian]] | * [[Gaussian]] | ||
+ | * [[Multivariate distributions]] |
Latest revision as of 22:09, 24 May 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 library functions (Multivariate Distributions.ana)
- Use File → Add Library... to add this library
See Also
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