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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. 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 \

Datasets.

music.csv Use this dataset for Lab 1 and Lab 2. \ olive.csv Use this dataset for Labs 3, 4, and 5. \ protein.txt Use this dataset for Lab 5. \ 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. \ Download R for Mac. \ https://www.rstudio.com/home/. Main website for Rstudio. \ Download Rstudio (all platforms). \

Other links: \ R-graph gallery: a gallery of nice visualisations of data you can make using R. \ R markdown cheatsheet gallery. \ Genes mirror geography within Europe. An example of the kinds of data insights you can get using some of the methods in this module.