pcaR2: Calculate R-squared for a matrix or principal components

In january3/myfuncs: loads a few functions I often need

Calculate R-squared for a matrix or principal components

Description

Calculate the fraction of variance explained by a predictor (numerical or factor) for each of the columns in a matrix or for each principal component in a prcomp object.

Usage

pcaR2(x, predictor, randomize = 0, comps = NULL, scaled = FALSE)

## S3 method for class 'pcaR2'
plot(x, ...)

Arguments

x	a numeric matrix or object of class prcomp
predictor	a factor or a numeric vector
randomize	how many randomizations should be run
comps	for which PCA components (or for which columns of the numeric matrix) the correlations should be calculated
scaled	whether the data should be scaled

Details

Calculate the fraction of variance explained by a predictor (numerical or factor) for each of the columns in a matrix or for each principal component in a prcomp object.

january3/myfuncs documentation built on Jan. 16, 2025, 8:37 p.m.