RunICA: Runs ICA for linear dimensionality reduction on the...
In rahuldhodapkar/puddlr: Analysis Tools for Shallow Datasets
RunICA R Documentation
Runs ICA for linear dimensionality reduction on the predictors of a
normalized puddlr object
Description
Runs ICA for linear dimensionality reduction on the predictors of a
normalized puddlr object
Usage
RunICA(puddlr, nc = 20)
Arguments
puddlr
A puddlr object
nc
number of components to extract. Default = 20
Value
puddlr object with pca reduction
rahuldhodapkar/puddlr documentation built on May 28, 2022, 12:53 p.m.
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| RunICA | R Documentation |
Runs ICA for linear dimensionality reduction on the predictors of a normalized puddlr object
Description
Runs ICA for linear dimensionality reduction on the predictors of a normalized puddlr object
Usage
RunICA(puddlr, nc = 20)
Arguments
puddlr |
A puddlr object |
nc |
number of components to extract. Default = 20 |
Value
puddlr object with pca reduction
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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