delFewValues: Delete Variables Based on Number of Different Values

Description Usage Arguments Details Value See Also Examples

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

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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

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

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