plot_var_ranks: Plot variable importance rankings

In nestedcv: Nested Cross-Validation with 'glmnet' and 'caret'

Plot variable importance rankings

Description

Plots variables selected in models ranked by variable importance across the outer folds as well as the final model.

Usage

plot_var_ranks(
  x,
  sort = TRUE,
  scheme = NULL,
  cex = 1,
  corral.width = 0.75,
  ...
)

hist_var_ranks(x, sort = TRUE, scheme = NULL)

Arguments

x	A nestcv.glmnet or nestcv.train fitted object or a list of these, or a repeatcv object.
sort	Logical whether to sort variable by mean rank.
scheme	Optional vector of colours which is passed to ggplot2::scale_color_manual(). The vector is recycled, so a single value will colour all points in the same colour, while two values will lead to alternating row colours.
cex	Scaling for adjusting point spacing. See ggbeeswarm::geom_beeswarm().
corral.width	Numeric specifying width of corral, passed to geom_beeswarm
...	Optional arguments passed to ggbeeswarm::geom_beeswarm() e.g. size.

Value

A ggplot2 plot.

nestedcv documentation built on April 4, 2025, 2:21 a.m.