plot_pca: Plot of PCA results

In EuracBiomedicalResearch/CompMetaboTools: Utility Functions from the Eurac Research Computational Metabolomics Team

Plot of PCA results

Description

plot_pca is a simple utility function to plot the results from a PCA analysis.

Usage

plot_pca(
  pc,
  pch = 16,
  col = "#000000",
  pc_x = 1,
  pc_y = 2,
  main = "",
  labels = NULL,
  ...
)

Arguments

pc	the result from a principal component analysis (i.e. the result returned by prcomp.
pch	the point character. See plot() or par() for more information.
col	the color to be used for each data point/sample.
pc_x	integer(1) defining which principal component should be drawn on the x-axis.
pc_y	integer(1) defining the principal component to be drawn on the y-axis.
main	character(1) with the optional title of the plot.
labels	character with length equal to the number of samples. If provided, these will be displayed instead of data points.
...	additional arguments to be passed to the points() or text() calls (if labels = NULL or not).

Author(s)

Johannes Rainer

EuracBiomedicalResearch/CompMetaboTools documentation built on Jan. 31, 2024, 1:14 p.m.