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monogenea/1-poissonPCA.R

Created October 7, 2019 19:02
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1-poissonPCA.R
# Generate scaled 4*5 matrix with random std normal samples
set.seed(101)
mat <- scale(matrix(rnorm(20), 4, 5))
dimnames(mat) <- list(paste("Sample", 1:4), paste("Var", 1:5))
# Perform PCA
myPCA <- prcomp(mat, scale. = F, center = F)
myPCA$rotation # loadings
myPCA$x # scores
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