custom_pca: A Custom PCA Function

In canhakan/canhakan1: Helper Package for Spatio-temporal Time-Series Data

Description

A custom PCA function that does PCA on train data and applies the results to test. Returns first 'n' PCs of train and test results in a list.

Usage

custom_pca(train, test, n)

Arguments

train	training data that PCA model will be calculated on
test	test data for applying the PCA results on to.
n	indicates the wanted number of Principal Components to be returned

Value

A list of first n principle components of train and test data, respectively.

canhakan/canhakan1 documentation built on Dec. 19, 2021, 1:48 p.m.