delFewValues: Delete Variables Based on Number of Different Values

In xxzcool/scoremodel: Credit Scoring Modeling Toolbox

Description

delFewValues will delete variables whose number of different values is too few(see details) to use binning function, and return a new dataframe.

Usage

delFewValues(df, minN = 5, minF = 2, exclude = NULL)

Arguments

df	A dataframe.
minN	Min number for numeric variable, default 5.
minF	Min number for factor variable, default 2.
exclude	Vector of column names or numbers to exclude, default NULL.

Details

for numeric variable, number of different values must be 5 at least, excluding missing values; for factor variable, must be 2 at least, excluding missing values also.

Value

A dataframe after deleted

See Also

Other data preprocessing functions: delNArate, delSinvalPercent, excludeCol, maxSinvalPercent

Examples

data(CreditData)
mysample <- delFewValues(CreditData, minN = 5, minF = 2, exclude = "target")

xxzcool/scoremodel documentation built on May 4, 2019, 10:56 a.m.