pcTransform: PC transformation
In GabrielHoffman/mvIC: Multivariate Information Criteria to identify important predictors in high dimensional multivariate regression
pcTransform R Documentation
PC transformation
Description
Transform data using PCA and retaining given fraction of variance
Usage
pcTransform(X, varFrac = 1)
Arguments
X
data matrix
varFrac
fraction of variance to retain
GabrielHoffman/mvIC documentation built on Aug. 30, 2022, 7:58 p.m.
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| pcTransform | R Documentation |
PC transformation
Description
Transform data using PCA and retaining given fraction of variance
Usage
pcTransform(X, varFrac = 1)
Arguments
X |
data matrix |
varFrac |
fraction of variance to retain |
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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