| pca.svd {mdatools} | R Documentation |
Singular Values Decomposition based PCA algorithm
Description
Computes principal component space using Singular Values Decomposition
Usage
pca.svd(x, ncomp = min(ncol(x), nrow(x) - 1))
Arguments
x |
a matrix with data values (preprocessed) |
ncomp |
number of components to calculate |
Value
a list with scores, loadings and eigenvalues for the components
[Package mdatools version 0.14.1 Index]