cleanRFdata

columns used as predictor variables as character or numeric vector.

column used as response variable as character or numeric.

data.frame containing <code>x</code> and <code>y</code> columns.

data

maximum number of levels in response variable <code>y</code>.

max.levels

Removes cases for a Random Forest classification model 
 with missing data and predictors that are constant.

Estimate significance of importance metrics
for a Random Forest model by permuting the response
variable. Produces null distribution of importance
metrics for each predictor variable and p-value of
observed. Provides summary and visualization functions for 'randomForest'
results.

cleanRFdata: Clean Random Forest Input Data

Description

Usage

Arguments

Value