var_imp {HPiP} | R Documentation

## Variable Importance Plot

### Description

A graphical display of variable importance of selected features.

### Usage

    var_imp(x, cex.x = 1, cex.y = 2)

### Arguments

`x` | A list of elements returned from RFE analysis. See `rfe` for more details
`cex.x` | The size of x axis label.
`cex.y` | The size of y axis label.

### Details

var_imp

### Value

Variable Importance Plot.

### Author(s)

Matineh Rahmatbakhsh, matinerb.94@gmail.com.

### Examples

    data('example_data')
    x <- na.omit(example_data)
    #perform feature selection
    s <- FSmethod(x, type = 'both',
    cor.cutoff = 0.7, resampling.method = "repeatedcv",
    iter = 5, repeats = 3, metric = "ROC", verbose = TRUE)
    var_imp(s$rf.result$rfProfile, cex.x = 10, cex.y = 10)

[Package HPiP version 1.0.0 Index]