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), 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
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 May 30, 2017, 7:37 a.m.