plot_pca: Plot PCA

In mrc-ide/MIPanalyzer: Filtering and analysis of MIP data

Plot PCA

Description

Plots either the first 2 or 3 principal components.

Usage

plot_pca(
  pca,
  num_components = 2,
  col = NULL,
  col_palette = NULL,
  ggplot = FALSE
)

Arguments

pca	output of pca_wsaf() function.
num_components	numeric for number of components used. Default = 2.
col	vector by which samples are coloured.
col_palette	vector of colours for each group.
ggplot	boolean for plotting using ggplot. Default = FALSE

mrc-ide/MIPanalyzer documentation built on Jan. 17, 2024, 7:16 p.m.