skPCA {BiocSklearn} | R Documentation

## use sklearn PCA procedure

### Description

use sklearn PCA procedure

### Usage

    skPCA(mat, ...)

### Arguments

`mat` | a matrix – can be R matrix or numpy.ndarray
`...` | additional parameters passed to sklearn.decomposition.PCA, for additional information use `py_help() on a reticulate-imported sklearn.decomposition.PCA instance.`

### Value

matrix with rotation

### Note

If no additional arguments are passed, all defaults are used.

### Examples

    #irloc = system.file("csv/iris.csv", package="BiocSklearn")
    #irismat = SklearnEls()$np$genfromtxt(irloc, delimiter=',')
    #skpi = skPCA(irismat)
    #getTransformed(skpi)[1:5,]
    chk = skPCA(data.matrix(iris[,1:4]))
    chk
    head(getTransformed(chk))
    head(prcomp(data.matrix(iris[,1:4]))$x)

[Package BiocSklearn version 1.12.0 Index]