plotVariance.pca: Explained variance plot for PCA model

In svkucheryavski/mdatools: Multivariate Data Analysis for Chemometrics

Explained variance plot for PCA model

Description

Shows a plot with explained variance or cumulative explained variance for components.

Usage

## S3 method for class 'pca'
plotVariance(
  obj,
  type = "b",
  labels = "values",
  variance = "expvar",
  xticks = seq_len(obj$ncomp),
  res = obj$res,
  ylab = "Explained variance, %",
  ...
)

Arguments

obj	a PCA model (object of class pca)
type	type of the plot ("b", "l", "h")
labels	what to use as labels (if show.labels = TRUE)
variance	which variance to show
xticks	vector with ticks for x-axis
res	list with result objects to show the variance for
ylab	label for y-axis
...	other plot parameters (see mdaplotg for details)

Details

See examples in help for pca function.

svkucheryavski/mdatools documentation built on Aug. 25, 2023, 12:27 p.m.