plotRMSE.regmodel: RMSE plot for regression model

In svkucheryavski/mdatools: Multivariate Data Analysis for Chemometrics

RMSE plot for regression model

Description

Shows plot with root mean squared error values vs. number of components for PLS model.

Usage

## S3 method for class 'regmodel'
plotRMSE(
  obj,
  ny = 1,
  type = "b",
  labels = "values",
  xticks = seq_len(obj$ncomp),
  res = obj$res,
  ylab = paste0("RMSE (", obj$res$cal$respnames[ny], ")"),
  ...
)

Arguments

obj	a regression model (object of class regmodel)
ny	number of response variable to make the plot for (if y is multivariate)
type	type of the plot("b", "l" or "h")
labels	what to show as labels (vector or name, e.g. "names", "values", "indices")
xticks	vector with ticks for x-axis values
res	list with result objects
ylab	label for y-axis
...	other plot parameters (see mdaplotg for details)

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