# Theo Pepler

Home | Research | Teaching | Software | Links | HOWTO's# Links

### ASSOCIATIONS

- Biomathematics and Statistics Scotland (BioSS)
- British Classification Society (BCS)
- Foundation for Open Access Statistics (FOAS)
- International Biometric Society (IBS)
- International Federation of Classification Societies (IFCS)
- Royal Statistical Society (RSS)
- South African Statistical Association (SASA)

### STATISTICS

- Statistical Science Web. A Statistics portal based in Australia, with teaching and research resources, job lists, and a large directory of contact details, mailing lists, etc.
- UCI Machine Learning Repository. Repository with many data sets, hosted by the University of California, Irvine.
- IFCS Cluster Benchmark Data Repository. A number of high quality, well documented data sets for performance benchmarking of cluster analysis methods.
- Points of Significance: Statistics for Biologists. A basic introduction to key statistical concepts for researchers in Biology, provided by
*Nature Methods*.

### COMPUTING

- GNU. The GNU/Linux operating system, respecting your freedom.
- UNIX tutorial. Introduction to basic UNIX/Linux commands for beginner users.
- R-project. Free and open-source software for statistical computing.
- RStudio. Integrated development environment (IDE) for R, for improved productivity.
- Quick-R. Instructions on using R to perform various statistical procedures, written in an easily accessible style.
- R Markdown basics. Basic commands to get started with R Markdown in RStudio.
- LaTeX wikibook. Online guide for using the LaTeX markup language to typeset documents.

### BOOKS FREELY AVAILABLE ONLINE

**Common Principal Components and Related Multivariate Models**(1988)

Bernhard Flury**Principal Component Analysis**(2002)

Ian T. Jolliffe**Practical Statistics for Medical Research**(1991)

Douglas G. Altman**An Introduction to Multivariate Statistical Analysis**(1984)

T. W. Anderson**The Elements of Statistical Learning**(2009)

Trevor Hastie, Robert Tibshirani and Jerome Friedman**Computer Age Statistical Inference**(2016)

Bradley Efron and Trevor Hastie**Multivariate Analysis of Ecological Data**(2013)

Michael Greenacre and Raul Primicerio**Biplots in Practice**(2010)

Michael Greenacre**The Linux Command Line**(3rd Internet edition, 2016)

William Shotts**The Art of R Programming: A Tour of Statistical Software Design**(2011)

Norman Matloff**Efficient R Programming**(2017)

Colin Gillespie, Robin Lovelace**A (Not So) Short Introduction to LaTeX 2e**(2014)

Tobias Oetiker, Hubert Partl, Irene Hyna and Elisabeth Schlegl**Pro Git: Everything You Need to Know About Git**(2014)

Scott Chacon and Ben Straub