plot.pca: Model overview plot for PCA

In mdatools: Multivariate Data Analysis for Chemometrics

Description

Shows a set of plots (scores, loadings, residuals and explained variance) for PCA model.

Usage

## S3 method for class 'pca'
plot(
  x,
  comp = c(1, 2),
  ncomp = x$ncomp.selected,
  show.labels = FALSE,
  show.legend = TRUE,
  ...
)

Arguments

x	a PCA model (object of class pca)
comp	vector with two values - number of components to show the scores and loadings plots for
ncomp	number of components to show the residuals plot for
show.labels	logical, show or not labels for the plot objects
show.legend	logical, show or not a legend on the plot
...	other arguments

Details

See examples in help for pca function.

mdatools documentation built on Sept. 13, 2021, 9:07 a.m.