Dulce, Chapters dealing with R OOP and R/C interfacing can be found in Chambers, J.M. 2008. Software for Data Analysis. Springer.
David "Dulce M. Bustamante" <[EMAIL PROTECTED]> Sent by: [EMAIL PROTECTED] 10/09/2008 04:47 PM To r-sig-ecology@r-project.org cc Subject [R-sig-eco] Improving efficiency in a simulation model Hello, I am pursuing the development of an individual-based model in R but there is a series of technical issues for which I don't know where to find information. I have written R functions before for simple simulations, but this model will have more complexities and each individual will need to be evaluated in many aspects at each time step. My major concern is that I don't know how to make my program more efficient in terms of using computer memory and computation time. What is the maximum matrix size that R could handle? I have read that R could interact with C and that that can be an "extremely effective mode for numerical computation" (Bates and DebRoy, DSC 2003 Working Papers). I have looked for papers on HOW TO make R and C interact but I can not find many references and would appreciate suggestions. Would my model benefit from using object oriented programming in terms of making the procedures go faster in terms of updating matrices after time steps? Thank you for your time. Dulce M. Bustamante Ph.D. Candidate Florida Medical Entomology Laboratory University of Florida 200 9th Street SE Vero Beach, FL 32962 _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
