Representation of data in libraries
Martin Maechler <maechler@stat.math.ethz.ch> writes:
On the other hand: does it really make sense to distribute huge example data sets as yours above?
The purpose of this example is to show that the lme methods work with very large data sets. These data are from a survey conducted by a sociologist. He fit a mixed-effects model to them using SAS PROC MIXED. It took five hours of cpu time on a relatively fast machine (Pentium II 233 MHz, 64 Mb memory). Once I decide what the model he used is in our notation, I will try it in lme. I am confident we can do it much faster. I decide to omit this data set from the standard distribution for lme although the way that data sets are organized in R there is not much penalty other than the disc space for including large examples that are rarely used. Following Thomas's suggestion of increasing the -n as well as the -v option I was able to read the data in with its current form.
Douglas Bates bates@stat.wisc.edu Statistics Department 608/262-2598 University of Wisconsin - Madison http://www.stat.wisc.edu/~bates/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-devel-request@stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._