On 1/19/07, Dominick Samperi <[EMAIL PROTECTED]> wrote: > Kimpel, Mark William wrote: > > I have 3 years of experience with R and have an interest in becoming a > > better programmer so that I might someday be able to contribute > > packages. Other than R, my only experience was taking Lisp from Daniel > > Friedman in the 1970's. I would like to learn either C or C++ for > > several reasons: > > > > To gain a better concept of object oriented programming so that I can > > begin to use S4 methods in R. > > > > To perhaps speed up some things I do repeatedly in R > > > > To be able to contribute a package someday. > > > If you decide to use C++ with R you should check out the documentation > that comes with the package RcppTemplate, and the sample code that > comes with that package. In my experience C++ (or C or FORTRAN) is > needed for many compute intensive tasks, and the R framework provides > a nice front-end with its extensive collection of visualization and > statistical analysis tools.
Actually I have found the opposite. I have never found C/C++ to be necessary. I have always been able to optimize the R code itself to get it to run sufficiently fast for my purposes. ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
