Skip to Content
Home » Package reference » caret » applyProcessing {caret}

applyProcessing {caret}

Data Processing on Predictor Variables (Deprecated)
Package: 
caret
Version: 
4.85

Description

processData is used to estimate data processing parameters and applyProcessing takes the results and applies them to data objects

Usage

processData(x, center = TRUE, scale = TRUE, na.remove = TRUE)
applyProcessing(x, object)

Arguments

x
A matrix or data frame with variables in rows and samples in columns
center
A boolean to center the data.
scale
A boolean to scale the data.
na.remove
Should NA values be removed?
object
the results from a previous call to processData.

Details

These functions are deprecated and have been replaced by the preProcess class. In a few more versions, they will not be around.

Values

x, after it has been processed.

Examples

set.seed(115)
xData <- matrix(rgamma(6 * 4, 5), 6)
 
trainValues01 <- apply(xData, 2, processData)
applyProcessing(xData, trainValues01)

Author(s)

Max Kuhn

Documentation reproduced from package caret, version 4.85. License: GPL-2