CleanNaFromContinuousCausataData: Replaces missing values in an array of numeric values in a...

In Causata: Analysis utilities for binary classification and Causata users.

Description

Missing values are replaced in a CausataData object, and the process is recorded so that it can be reapplied during scoring.

Usage

## S3 method for class 'CausataData'
CleanNaFromContinuous(x, variableName=NULL, method="median", ...)

Arguments

x	An object of class CausataData.
variableName	If a name is supplied then the variable matching the name will have CleanNaFromContinuous applied. If no name is provided then CleanNaFromContinuous is applied to every continuous variable in causataData.
method	See CleanNaFromContinuous.
...	Unused arguments for other methods.

Details

The default behavior is that missing numeric values are replaced with the median.

Value

Returns a CausataData object.

Author(s)

Justin Hemann <[e-mail]>

See Also

CleanNaFromContinuous, CausataData.

Examples

# median of x__AP is 2
df <- data.frame(x__AP=c(NA, 1,1.5,2,3,11), y__AP=c(NA, 1,2,3,4,5))
causataData <- CausataData(df, rep(0, nrow(df)))
causataData <- CleanNaFromContinuous(causataData)

Causata documentation built on May 2, 2019, 3:26 a.m.