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cleanRFdata

Clean Random Forest Input Data


Description

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

Usage

cleanRFdata(x, y, data, max.levels = 30)

Arguments

x

columns used as predictor variables as character or numeric vector.

y

column used as response variable as character or numeric.

data

data.frame containing x and y columns.

max.levels

maximum number of levels in response variable y.

Value

a data.frame containing cleaned data.

Author(s)


rfPermute

Estimate Permutation p-Values for Random Forest Importance Metrics

v2.1.81
GPL (>= 2)
Authors
Eric Archer [aut, cre]
Initial release

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