pcaScores: Retrieve PCA scores from prcomp objects

In bedapub/ribiosPlot: Plotting module of ribios for visualization

Retrieve PCA scores from prcomp objects

Description

Retrieve PCA scores from prcomp objects

Usage

pcaScores(x, choices, offset, reverse = c(FALSE, FALSE))

Arguments

x	An object of prcomp
choices	Integer vector, indices of principal components, default the first two PCs. If missing, NULL or NA, all PCs are returned.
offset	Oither one or more rows's names in the loading matrix, or indices, or a logical vector. The average loading of the rows specified by offset is set to zero.
reverse	Logical of the same length as choices or 1 (which will be repeated), indicating whether the sign of values in the indexed axis should be reversed

Examples

testMatrix <- matrix(rnorm(1000), nrow=10)
testPCA <- prcomp(testMatrix)
testPCAscores <- pcaScores(testPCA)

testPCAscores.withOffset <- pcaScores(testPCA, offset=c(1,3,5))
## notice the average of offset-rows are near zero
colMeans(as.matrix(testPCAscores.withOffset)[c(1,3,5),])

testPCAscores.withReverse <- pcaScores(testPCA, reverse=c(TRUE, FALSE))
colMeans(as.matrix(testPCAscores.withReverse)[c(1,3,5),])

bedapub/ribiosPlot documentation built on Sept. 1, 2023, 6:50 p.m.