delNArate: Compute and Delete NA Rate of Variable
In xxzcool/scoremodel: Credit Scoring Modeling Toolbox

Description Usage Arguments Details Value See Also Examples

delNArate will compute NA rate of every variable in df firstly, then delete variables whose na rate is greater than or equal to threshold, return a list contains deleted dataframe.

1	delNArate(df, narate_critical = 0.9, exclude = NULL)

`df`	A dataframe.
`narate_critical`	A numeric, Specifies NA rate threshold for selecting and returning variables, default `0.9`.
`exclude`	Vector of column names or numbers to exclude, default `NULL`.

the returned list contains three components, one is dataframe named 'naratedf', second is a dataframe named 'delVardf', last one is an after-deleted dataframe.

A list

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

data(CreditData)
result1 <- delNArate(CreditData, narate_critical = 0.7)
result2 <- delNArate(CreditData, narate_critical = 0.7, exclude = "multiloantimes")
mysample <- result2[[3]]