corpca: Principal Component Analysis based on the correlation matrix

Description Usage Arguments Examples

Description

corpca is an auxiliary function that performs principal components analysis on a dataset. It returns an object x which contains the loadings, the scores and the singular values of the K first principal components. It handles missing values in a dataset and actually computes the eigen elements of the n x n covariance matrix, where n is the number of individuals.

Usage

1

Arguments

data

a data matrix or a data frame.

K

an integer specifying the number of principal components that are retained.

Examples

1
x <- NULL


Search within the pcadapt package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.