skPCA {BiocSklearn} | R Documentation |
use sklearn PCA procedure
skPCA(mat, ...)
mat |
a matrix – can be R matrix or numpy.ndarray |
... |
additional parameters passed to sklearn.decomposition.PCA, for additional information use |
matrix with rotation
If no additional arguments are passed, all defaults are used.
#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)