compute_pca

compute variables contributions to principal components, as well as the PCA scree.

compute_pca(data, kept_axes = 4)

Arguments

data

normalized expression data with samples as columns and genes as rows.

kept_axes

max number of component to keep.

Examples

data("abiotic_stresses")
pca <- compute_pca(abiotic_stresses$normalized_counts)