ccor: Canonical Correlations
In cml: Conditional Manifold Learning
ccor R Documentation
Canonical Correlations
Description
Computes canonical correlations for two sets of multivariate data x and y.
Usage
ccor(x, y)
Arguments
x
the first multivariate dataset.
y
the second multivariate dataset.
Value
a list of the following components:
cancor
a vector of canonical correlations.
xcoef
a matrix, each column of which is the vector of coefficients of x to produce the corresponding canonical covariate.
ycoef
a matrix, each column of which is the vector of coefficients of y to produce the corresponding canonical covariate.
Author(s)
Anh Tuan Bui
Examples
ccor(iris[,1:2], iris[,3:4])
cml documentation built on April 24, 2023, 9:10 a.m.
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| ccor | R Documentation |
Canonical Correlations
Description
Computes canonical correlations for two sets of multivariate data x and y.
Usage
ccor(x, y)
Arguments
x |
the first multivariate dataset. |
y |
the second multivariate dataset. |
Value
a list of the following components:
cancor |
a vector of canonical correlations. |
xcoef |
a matrix, each column of which is the vector of coefficients of x to produce the corresponding canonical covariate. |
ycoef |
a matrix, each column of which is the vector of coefficients of y to produce the corresponding canonical covariate. |
Author(s)
Anh Tuan Bui
Examples
ccor(iris[,1:2], iris[,3:4])
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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