Tutorial on principal component analysis, with applications in R
Other Statistics
2021-12-24 v1 Applications
Abstract
This tutorial reviews the main steps of the principal component analysis of a multivariate data set and its subsequent dimensional reduction on the grounds of identified dominant principal components. The underlying computations are demonstrated and performed by means of a script written in the statistical software package R.
Keywords
Cite
@article{arxiv.2112.12067,
title = {Tutorial on principal component analysis, with applications in R},
author = {Henk van Elst},
journal= {arXiv preprint arXiv:2112.12067},
year = {2021}
}
Comments
37 pages, 6 *.png figures, 10 *.pdf figures, LaTeX2e, hyperlinked references