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

Plot of PCA results

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

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).

Johannes Rainer