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**COURSE MATERIAL**

- Lectures and/or self-study materials (see below for further information).

**R** is both an environment for
mathematical computation as wells as a
programming language with a rich syntax towards doing statistical modeling
and data analysis. R is an open source effort which has gained an enormous
popularity over the past few years, e.g. demonstrated by the large number
of recently published textbooks that focus on doing various types of
statistical modeling using R. The environment has a modular structure,
such that developers can smoothly add new functionality in form of
packages or libraries. **Bioconductor**
package is a shining example of how
powerful and successful tools the open source –based research community
may create.

R itself is a command-based interface towards doing statistics, however,
several menu-based add-on packages have also been created by developers to
provide access to most common statistical analysis tools for non-expert
users. Two excellent examples of such packages are **R Commander** and **Statistical lab**.

This course focuses on learning the basic syntax of R and showing how it
can efficiently applied to perform an array of common statistical
analyses. As the lectures consist primarily of computer practicals, there
will be no written exam at the end of the course. However, the
participants are required to solve a set of exercises to gain credits from
the course.

**Course Material: **
Several books are available about R. The student library of Åbo Akademi
has multiple copies of ** Statistical computing with R**, by