Overview

R is a programming language, very good for statistics and for operating with huge datasets. As the community of R users and developers is growing fast, probably you'll find helpful tools for your favorite kind of analysis. If not, you can develop them yourself. Microarray-based gene expression and snp analysis, next generation sequencing and many other biological experiments may be analyzed with R.

Whom is this course for?

This course consists of two parts:

If you have already some R experience, please check printouts and problem sets. If you can solve them all, spend Tuesday morning on something more profitable to you. This course is NOT about: statistics, gene expression etc. If you are not familiar with them, the very basics will be covered, but do not expect anything extensive.

Place and time

We will meet all together once a week, on Tuesdays, at 9.30 in the lecture hall, for one hour. However, learning a language requires practicing it - so you should solve problem sets, posted for each course day.

I will post also solutions (in a separate file, so you won't be tempted).

In case of doubts and questions you can email me or come to my office on Friday morning.

Course dates

Prerequisites

Bring with you a laptop with installed R (see installation help). Check information about a given meeting - if there is a dataset posted, package to install sugested, download it before the course. Take printouts with you.

I strongly suggest also to go trough R tutorials (see tutorials) or just use them as a reference.