Suggest some R tasks for high-schoolers

Many high-schoolers are now using R in class, and to help even more students get exposure to R (while improving R itself), Virgilio Gómez-Rubio is seeking suggestions for projects for the next Google Code-In:

An application has been put forward for R to participate in Google Code-in. This is a Google's contest to introduce pre-university students (age 13-18) to the many kinds of contributions that make open source software development possible.

We are looking for possible mentors and ideas for tasks to be developed by the students. All the proposed tasks are available in this page:

http://rwiki.sciviews.org/doku.php?id=developers:projects:gci2011&s=google%20code

Possible tasks range from code development to translation of manual pages, GUIs, etc.

A mailing list has been set up to discuss issues regarding this contest:
http://groups.google.com/group/gci-r?hl=en

If you are interested in participating in Google Code-In, please, join the mailing list to discuss your ideas and add your ideas to the wiki page. We are still waiting to know whether the R Foundation will be accepted as a participating institution but the tasks list will be taken into account when considering our application.

In a Code-In, students select tasks from a list of proposals to earn prizes. Current proposals for R include making the documentation compatible with Roxygen and writing tests for the hyperSpec package. If you have other suggestions for R-related projects suitable for high-students, please add them to the Wiki page and discuss them on the mailing list.

Update Nov 9: Sadly, we've heard that the R Project wasn't accepted for this round of the Google Code-in due to "more applications for the program than we (Google) are able to accommodate", but your suggestions will still be used for the next iteration of the program.

R-help mailing list: R and Google Code-In

Comments

[R tutorial]

I have made written some basic R-tutorials myself. They are all high school leveled and easy to read and understand.
You may find them here: http://r-statistics.net.

Please feedback on the tutorials!