Skip to content

This repository contains R code that explains graphically how a few different multivariate statistical techniques work. Topics covered are distance measures, principal component analysis, permutational analysis of variance, and partial least squares regression.

Notifications You must be signed in to change notification settings

davidblakneymoore/Explanations-of-Some-Multivariate-Statistical-Techniques

Repository files navigation

Multivariate Statistical Techniques Explained

This repository contains R code that explains graphically how a few different multivariate statistical techniques work. Topics covered are distance measures, principal component analysis, permutational analysis of variance, and partial least squares regression. You can check out video lectures of these techniques on YouTube.

R Basics, Distance Measures, Principal Component Analysis, and Non-Metric Multidimensional Scaling

‘dplyr’, Permutational Multivariate Analysis of Variance, and Partial Least Squares Regression

About

This repository contains R code that explains graphically how a few different multivariate statistical techniques work. Topics covered are distance measures, principal component analysis, permutational analysis of variance, and partial least squares regression.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages