pca_: Principal Component Analysis function used in the function...

In XTH1114/NBFvis: Visualization of Neighborhood-Based Features

Principal Component Analysis function used in the function quantile_matrix

Description

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.

XTH1114/NBFvis documentation built on Sept. 14, 2022, 1:13 p.m.