By Avril Coghlan, Wellcome Trust Sanger Institute, Cambridge, U.K. Email: alc@sanger.ac.uk

This is a simple introduction to multivariate analysis using the R statistics software.

There is a pdf version of this booklet available at: https://media.readthedocs.org/pdf/little-book-of-r-for-multivariate-analysis/latest/little-book-of-r-for-multivariate-analysis.pdf.

If you like this booklet, you may also like to check out my booklet on using R for biomedical statistics, http://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/, and my booklet on using R for time series analysis, http://a-little-book-of-r-for-time-series.readthedocs.org/.

Contents:

- How to install R
- Using R for Multivariate Analysis
- Multivariate Analysis
- Reading Multivariate Analysis Data into R
- Plotting Multivariate Data
- Calculating Summary Statistics for Multivariate Data
- Calculating Correlations for Multivariate Data
- Standardising Variables
- Principal Component Analysis
- Linear Discriminant Analysis
- Links and Further Reading
- Acknowledgements
- Contact
- License

Thank you to Noel O’Boyle for helping in using Sphinx, http://sphinx.pocoo.org, to create this document, and github, https://github.com/, to store different versions of the document as I was writing it, and readthedocs, http://readthedocs.org/, to build and distribute this document.

I will be very grateful if you will send me (Avril Coghlan) corrections or suggestions for improvements to my email address alc@sanger.ac.uk

The content in this book is licensed under a Creative Commons Attribution 3.0 License.