R teaching in Cambridge

Please feel free to update accordingly.

Courses at the Graduate School of Life Sciences (GSLS) are generally open to external members, although members of the University and associated institutes (Sanger, EBI, Babraham, ...) probably have priority. Please see respective GSLS course pages for details.

Introduction to R

Taught by Rob Foy, John Davey, Laurent Gatto and Robert Stojnic. See the GSLS page and course page for details and material.

An Introduction to R: Software For Statistical Analysis

Taught by Simon R. White and Adam P. Wagner. See GSLS course page for more details.

R: Introduction for Beginners

Taught by Bruce Beckles at the University Computing Service. More details here.

R for Social Sciences

Several course taught by Nicole Janz at the Social Sciences Research Methods Centre. Slides, R script and data available on the respective pages.

• Introduction to R
• Bivariate Association in R
• Regression in R
• Replication workshop

Bioinformatics: Microarray Analysis with Bioconductor

Taught by Roslin Russell , Oscar Rueda , Suraj Menon and Mark Dunning. See the GSLS course page for more details.

Bioinformatics: Analysis of High-throughput sequencing data with Bioconductor

Taught by Roslin Russell , Oscar Rueda , Mark Dunning , Suraj Menon , Thomas Carrol and Dr Shamith Samarajiwa. See the GSLS course page for more details.

R object-oriented programming and package development

Taught by Robert Stojnic and Laurent Gatto. More details and material on the GSLS course page and here.

R teaching material

Plenty of slides available here under CC-BY-SA.