# Untitled

**Source**: https://www.scss.tcd.ie/arthur.white/Teaching/STU33011.html
**Parent**: https://teaching.scss.tcd.ie/module/stu33011-multivariate-linear-analysis/

## STU33011 Multivariate Linear Analysis.

Class material will be made available online after their corresponding lectures.  \

## Lectures

Many thanks to Brendan Murphy and Brett Houlding, on whose material the lecture notes below are based. \
\
 [Slides 1.](https://www.scss.tcd.ie/~arwhite/Teaching/STU33011/STU33011-slides1.pdf) Module overview and some motivating examples. \

## Labs.

Many thanks to Claire Gormley and Brett Houlding, on whose material the labs below are based. More recently Ultán Doherty has helped to update this material.

Lab 1:  [R basics](https://www.scss.tcd.ie/~arwhite/Teaching/STU33011/Lab1.html)  \

## Datasets.

 [music.csv](https://www.scss.tcd.ie/~arwhite/Teaching/STU33011/music.csv) Use this dataset for Lab 1 and Lab 2. \
 [olive.csv](https://www.scss.tcd.ie/~arwhite/Teaching/STU33011/olive.csv) Use this dataset for Labs 3, 4, and 5. \
 [protein.txt](https://www.scss.tcd.ie/~arwhite/Teaching/STU33011/protein.txt) Use this dataset for Lab 5. \
 [salmon.txt](https://www.scss.tcd.ie/~arwhite/Teaching/STU33011/salmon.txt) Use this dataset for Lab 7. \

## Links.

Below you will find links to download R and Rstudio. The software is free to download. You need to install R to to use Rstudio but you don't not need Rstudio to use R. I recommend using Rstudio to do the module labs and assignment. \

<https://www.r-project.org/> Main website for the R statistical project. \
 [Download R for Windows.](https://cran.r-project.org/bin/windows/base/)  \
 [Download R for Mac.](https://cran.r-project.org/bin/macosx/)  \
 [https://www.rstudio.com/home/.](https://www.rstudio.com/home/) Main website for Rstudio. \
 [Download Rstudio (all platforms).](https://www.rstudio.com/products/rstudio/download/)  \

Other links: \
 [R-graph gallery:](https://www.r-graph-gallery.com/)  a gallery of nice visualisations of data you can make using R. \
 [R markdown cheatsheet gallery.](https://shiny.rstudio.com/articles/rm-cheatsheet.html)  \
 [Genes mirror geography within Europe.](https://www.scss.tcd.ie/arthur.white/Teaching/STU33011/Genes_Mirror_Geography_within_Europe.pdf)  An example of the kinds of data insights you can get using some of the methods in this module.