applyProcessing
From caret v4.39
by Max Kuhn
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
NAvalues 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These functions are deprecated and have been replaced by the preProcess class.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.
Examples
set.seed(115)
xData <- matrix(rgamma(6 * 4, 5), 6)
trainValues01 <- apply(xData, 2, processData)
applyProcessing(xData, trainValues01)Community examples
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