Skip to contents

Plot method for cv_plmm class

Source: R/plot-cv-plmm.R
plot.cv_plmm.Rd

Plot method for cv_plmm class

Usage

# S3 method for class 'cv_plmm'
plot(
  x,
  log.l = TRUE,
  type = c("cve", "rsq", "scale", "snr", "all"),
  selected = TRUE,
  vertical.line = TRUE,
  col = "red",
  ...
)

Arguments

x

An object of class cv_plmm

log.l

Logical to indicate the plot should be returned on the natural log scale. Defaults to TRUE.

type

Type of plot to return. Options include:

  • cve: cross-validation error

  • rsq: estimated fraction of the deviance explained by the model (\(R^2\))

  • scale: estimated standard deviation

  • snr: estimated signal-to-noise ratio

  • all: all of the above

selected

Logical to indicate if the number of variables selected should be plotted on the top axis. Defaults to TRUE.

vertical.line

Logical to indicate whether a vertical line should be plotted at the minimum/maximum value. Defaults to TRUE.

col

Color for the points along the CV curve. Defaults to "red".

...

Additional arguments.

Value

Nothing is returned; instead, a plot is drawn representing the relationship between the tuning parameter lambda value (x-axis) and the cross validation error (y-axis).

Examples

admix_design <- create_design(X = admix$X, y = admix$y)
cvfit <- cv_plmm(design = admix_design)
plot(cvfit)