ggvimp: Plot of variable importance

In NaiaraLopezRojo/globalIRmap: What the Package Does (One Line, Title Case)

Description

Produce a bar ggplot of variable importance for random forest model.

Usage

ggvimp(in_rftuned, in_predvars, varnum = 10, spatial_rsp = FALSE)

Arguments

in_rftuned	Output from selecttrain_rf; list containing inner and outer resampling results + task.
in_predvars	data.table of predictor variable codes, names and attributes. Output from selectformat_predvars.
varnum	number of variables whose variable importance to plot.
spatial_rsp	(boolean) whether to use variable importance values derived from spatial (TRUE) or non-spatial (FALSE) cross-validation.

Details

this function is used to produce Figure 2 in the Main Text of Messager et al. 2021. Additional formatting is needed to exactly match Fig. 2.

Value

ggplot

NaiaraLopezRojo/globalIRmap documentation built on Dec. 17, 2021, 5:19 a.m.