pcaR2: Calculate R-squared for a matrix or principal components
In january3/myfuncs: loads a few functions I often need

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.

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

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

`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

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 April 1, 2020, 4:42 a.m.