applyProcessing

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Data Processing on Predictor Variables (Deprecated)

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

Keywords
manip
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These functions are deprecated and have been replaced by the preProcess class.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.

Value

  • x, after it has been processed.

Aliases
  • applyProcessing
  • processData
Examples
set.seed(115)
xData <- matrix(rgamma(6 * 4, 5), 6)

trainValues01 <- apply(xData, 2, processData)
applyProcessing(xData, trainValues01)
Documentation reproduced from package caret, version 4.41, License: GPL-2

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