pvimPlot {statTarget} | R Documentation

## Gini importance and permutation-based variable importance measures plots

### Description

Create plots for Gini importance and permutation-based variable Gini importance measures.

### Usage

    pvimPlot(rForest,pimpModel,nvarRF = 6,border= NA,
    space = 0.3,...)

### Arguments

`rForest` | an object of class randomForest that contains the proximity component from statTarget rForest function.
`pimpModel` | an object of permutation-based variable Gini importance measures (PIMP-algorithm) from statTarget rForest function.
`nvarRF` | The number of variables in importance plot of randomForest.
`border` | The color to be used for the border of the bars. Use border = NA to omit borders. see also barplot.
`space` | The amount of space (as a fraction of the average bar width) left before each bar. May be given as a single number or one number per bar. see also barplot
`...` | A generic barplot function from graphics package.

### Value

The output of the name of selected variable importance.

### Author(s)

Hemi Luan, hemi.luan@gmail.com

### Examples

    datpath <- system.file('extdata',package = 'statTarget')
    statFile <- paste(datpath,'data_example.csv', sep='/')
    getFile <- read.csv(statFile,header=TRUE)
    rFtest <- rForest(getFile,ntree = 10,times = 5)
    pvimPlot(rFtest$randomForest,rFtest$pimpTest)

[Package statTarget version 1.17.4 Index]