A couple of days ago, I had an opportunity to give a guest lecture on
our Rcpp package
for R and C++ integration.
This was in CMSC 12300 Computer Science with Applications-3
in the Department of Computer Science at
University of Chicago. The course is
the final part of a three term sequence introducing students to data-centric
work in R, Python, Java and C++. I tried to keep it brief and engaging in
order to motivate the why or R/C++ integration while providing
plenry of useful examples.
And yesterday I got to spend a day giving an invited day-long workshop at the
Medical College of Wisconsin as part of a
two-day R workshop
sponsored by the Milwaukee Chapter
of the American Statistical Assocation
as well as the CTSI and PCOR centers at the
Medical College of Wisconsin. In the workshop,
I followed the previously-used setup of four parts on introduction, Rcpp details,
advanced topics and last-but-not-least applications, but also updated and extended
to more recent topics.
Pdf slides from both events are now on my presentations page.