corpca: Principal Component Analysis based on the correlation matrix
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
corpca(data, K, scale = TRUE, ploidy = 2)
Arguments
data
a data matrix or a data frame.
K
an integer specifying the number of principal components that are retained.
scale
a logical value indicating whether the data has to be scaled.
ploidy
an integer specifying the ploidy of the individuals.