makePCATask: Creates a PCATask Object
In ptl93/AEDA: Automated Exploratory Data Analysis

Description Usage Arguments Value Examples

Principal Components Analysis (PCA). A Task encapsulates the Data with some additional information

1 2	makePCATask(id, data, target, vars = NULL, exclude = character(0), show.NA.msg = FALSE, ...)

`id`	[`character(1)`] ID of the Task Object
`data`	[`data.frame`] Data for PCA. Only numeric columns will be used and the target column excluded.
`target`	[`character(1)`] Target column. If not available please insert as `NULL`.
`vars`	[`character(1)`] Column names
`exclude`	[`character`] Names of inputs, which should be excluded. Default is none.
`show.NA.msg`	[`logical(1)`] Logical whether to show missing values message Default is `FALSE`.
`...`	Further arguments passed to `prcomp`

PCATask

data("iris")
pca.task = makePCATask(id = "iris.try", data = iris, target = "Species",
                        tol = 1e-1, center = TRUE)
# get Data
pca.task$env$data