PCA_reduce: PCA Dimension Reduction

In creditmodel: Toolkit for Credit Modeling, Analysis and Visualization

Description

PCA_reduce is used for PCA reduction of high demension data .

Usage

PCA_reduce(train = train, test = NULL, mc = 0.9)

Arguments

train	A data.frame with independent variables and target variable.
test	A data.frame of test data.
mc	Threshold of cumulative imp.

Examples

## Not run: 
num_x_list = get_names(dat = UCICreditCard, types = c('numeric'),
ex_cols = "ID$|date$|default.payment.next.month$", get_ex = FALSE)
 PCA_dat = PCA_reduce(train = UCICreditCard[num_x_list])

## End(Not run)

creditmodel documentation built on Jan. 7, 2022, 5:06 p.m.