removeBadVars: removeBadVars

In TaylorAndrew/atPrepAnalyze: Methods for prepping data for analyses

Description

removeBadVars checks the variables in a dataframe, and removes those that do not meet the given parameters. To be used in conjunction with the multLogistic() function.

Usage

removeBadVars(data, catlist, predlist, nLevelsCutoff = 5, minCount = 1)

Arguments

data	input data.frame
catlist	vector of categorical variable names to use in multLogistic()
predlist	vector of all variable names to use in multLogistic()
nLevelsCutoff	Maximum number of levels a categorical variable can have and still be included in the analysis.
minCount	Minimum total number of non-NA entries a variable can have and still be included in the analyses.

Value

a list of varibale name vectors to include in a later analysis.

Examples

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TaylorAndrew/atPrepAnalyze documentation built on May 9, 2019, 4:23 p.m.