Principal Component Analysis function used in the function quantile_matrix

This function is used for Principal Component Analysis(PCA) in the
function quantile_matrix in this package. It uses prcomp function for PCA.

Usage

pca_(data, pca_threshold = 0.9, ...)

Arguments

data

the input data matrix, containing all the expression information like proteins or genes.
Other things like indices and coordinates should not be included.

pca_threshold

the minimal percentage of the explained variance in Principal Component Analysis.
The default value is 0.9.

...

other parameters could be passed to the prcomp function.