Hey folks,
In case you weren't able to make it to the R orientation session, I've
posted the material I went through on the course website (under "Sections"
and "R Orientation"). Feel free to peruse the code and work through it at
your own pace. There is no better way to familiarize yourself with R than to
just sit down and play around with it!
Also -- I ran out of time to discuss LaTeX. Essentially, LaTeX is an
attractive way to prepare documents that have mathematical expressions,
plots, and tables. The learning curve is at first steep, but learning how to
use LaTeX quickly pays off and you can soon produce professional-looking
articles and papers quite easily.
For more info on how to get started with LaTeX, feel free to check out
http://people.fas.harvard.edu/~blackwel/latex.html, which was put together
by one of our colleagues in another statistics course. I also posted in the
"R Orientation" folder a sample LaTeX template that you might want to use in
writing up your problem sets.
As always, please use the list to bounce off questions and ideas. LaTeX is
not required for the course, but we use it ourselves, and I recommend at
least giving it a shot!
best, Maya