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Seamless R and C++ integration with Rcpp (Colloquium)

Dirk Eddelbuettel

Saturday November 16, 2013
1:00pm - 4:00pm
Watson Library, 455
The R system for statistical computation and graphics (R Core Team, 2013) has become a pre-eminent platform for data-related research. Its focus on "Programming with Data" has lead to widespread use in data analysis, visualization, statistical computing and general statistical research. Within the R environment, Rcpp (Eddelbuettel and Francois, 2011; Eddelbuettel 2013) has become the most widely-used language extension. Rcpp permits effortless and seamless bi-directional interchange of objects between the R system and C++ code---covering anything from data containers such as vectors, matrices, and lists to complete (and possibly nested) objects, functions and environments. The ability to seamlessly connect R and C++ enables analysts to obtain substantial speed gains for tasks which are often slow in R (particularly loops, or repeated function calls) with very little effort. See attached for full abstract.

Download Additional Information: Full_Abstract-Seamless R and C++ integration with Rcpp.docx
Contact: 785-864-3353, ben.duncan@ku.edu
Department: Center for Research Methods and Data Analysis
Ticket Cost: Free