Tutorial on principal component analysis, with applications in R
arXiv:2112.12067 · doi:10.13140/RG.2.2.20075.16168/2
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.
37 pages, 6 *.png figures, 10 *.pdf figures, LaTeX2e, hyperlinked references