Peter Dalgaard <[EMAIL PROTECTED]> writes: > - use a version of R compiled with a fast BLAS, on a fast computer > with a lot of RAM... (A ~2K square matrix inversion will take a > while, but "hours" sounds a bit excessive).
To wit: > system.time(aov(dv~f1*f2*f3+Error(subject/(f1+f3)),data=d)) [1] 582.46 9.31 619.01 0.00 0.00 i.e. about 10 minutes on an Opteron 240 (dual, but it only seemed to use one cpu for this task) with 1GB. -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
