Rcpp Master Class
October 8, 2011 - San Franciso
AMA Executive Conference Center
|Time:||9:00AM - 5:00PM|
$850, includes lunch and refreshments
Knowledge of R as well as general programming knowledge; C or C++ knowledge is certainly helpful but not required.
Users should bring a laptop set up so that R packages can be built. That means on Windows, Rtools needs to be present and working, and on OS X the Xcode package should be installed.
Rcpp Workshops San Francisco (Oct 2011)
Following the successful one-day master class on Rcpp preceding this year's R/Finance conference, a full-day master class on Rcpp and related topics which will be held on Saturday, October 8, in San Francisco.
Join Dirk Eddelbuettel for six hours of detailed and hands-on instructions and discussions around Rcpp, inline, RInside, RcppArmadillo, RcppGSL, RcppEigen and other packages---in an intimate small-group setting.
The full-day format allows combining an introductory morning session with a more advanced afternoon session while leaving room for sufficient breaks. We plan on having about six hours of instructions, a one-hour lunch break and two half-hour coffee breaks (and lunch and refreshments will be provided).
Morning session: "A Hands-on Introduction to R and C++"
The morning session will provide a practical introduction to the Rcpp package (and other related packages). The focus will be on simple and straightforward applications of Rcpp in order to extend R and/or to significantly accelerate the execution of simple functions.
The tutorial will cover the inline package which permits embedding of self-contained C, C++ or FORTRAN code in R scripts. We will also discuss RInside, to easily embed the R engine code in C++ applications, as well as standard Rcpp extension packages such as RcppArmadillo and RcppEigen for linear algebra (via highly expressive templated C++ libraries) and RcppGSL.
Afternoon session: "Advanced R and C++ Topics"
The afternoon tutorial will provide a hands-on introduction to more advanced Rcpp features. It will cover topics such as writing packages that use Rcpp, how Rcpp modules and the new R ReferenceClasses interact, and how Rcpp sugar lets us write C++ code that is often as expressive as R code. Another possible topic, time permitting, may be writing glue code to extend Rcpp to other C++ projects.
We also expect to leave some time to discuss problems brought by the class participants.
Dirk Eddelbuettel has been contributing packages to CRAN for nearly a decade. Among these are RQuantLib, digest, littler, random, RPostgreSQL, as well the Rcpp family of packages comprising Rcpp, RInside, RcppClassic, RcppExamples, RcppDE, RcppArmadillo and RcppEigen. He maintains the CRAN Task Views for Finance as well as High-Performance Computing, and is a founding co-organiser of the annual R / Finance conferences in Chicago. He has Ph.D. in Financial Econometrics from EHESS (Paris), and works in Chicago as a Quantitative Strategist.