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Perform Principal Component Analysis

Source: R/calc_postprocessing.R
reduce_pca.Rd

Perform Principal Component Analysis

Usage

reduce_pca(data, num_comp = 5, threshold = NA, kernel = FALSE)

Arguments

data

data.frame or data.table

num_comp

integer(1). The number of components to retain as new predictors. If threshold is defined, num_comp will be overridden.

threshold

numeric(1). A fraction of the total variance that should be covered by the components.

kernel

logical(1). Whether to use a kernel PCA with recipes::step_kpca(). Default is FALSE.

Value

data.table with Principal Components sufficient to satisfy the threshold.`

See also

recipes::step_pca() recipes::step_kpca()