varImpRank: Get random forest importance values and rank variables per...

In mqueinnec/RMFinventory:

Description

Get random forest importance values and rank variables per order of importance

Usage

varImpRank(rfList, measure = "IncMSE", nrank = 5, saveFigure = FALSE, outdir)

Arguments

rfList	List of random forest models trained with the function makeModels
measure	Character. Random forest importance measure. Can be either IncMSE (default) or IncNodePurity.
nrank	Numeric. Maximum importance rank to be included. Default is 5
saveFigure	Logical. If TRUE, save scatterplots in outdir. Currently save a pdf file of 7 inches width and 5 inches height. Default is FALSE
outdir	Character. Path to exisiting directory where models and scatterplots will be saved if wanted

Value

A list containing two elements:

• "rank" a data.frame showing the number of time a variable is part of the nrank most important varaibles

• "plota barplot (ggplot2 object)

mqueinnec/RMFinventory documentation built on May 4, 2021, 10:45 a.m.