R tutorial: data handling and graphs

A number of researchers who use R for analysis are still more comfortable to use Excel to organize their data. This is mostly due to Excel being "more intuitive" and because it often takes time and effort to find the appropriate functions in R. If you do, however, it usually turns out to be more efficient and less error prone. For this reason, we would like to put together some useful R syntax and combine it with different ways of graphing data into a tutorial session, which should last between 3 and 4 hours.
If you would like to take part, please indicate your availability in this doodle poll AND write an email to emilia dot ellsiepen at linguist dot jussieu dot fr, in case I don't have your address already. Please feel free to send me suggestions on specific manipulations or graph types that you would like to see in the course.