Paul: > If the example data files for a package are extremely large,
What is extremely large here? Mega/giga/terrabytes? > should they just be put in a different package specifically > for example data? If so, are these data packages normally > submitted to CRAN/BioC or mentioned in README with directions > specifying where to download on developer site? That depends on the value of "extremely large". Up to a certain extent (a few hundred KB or so), I would put them into the package. Otherwise include a README or (maybe even better) a man page that has the example code and explains where to obtain the data. > If these files are all dot-tsv (.tsv), they would seem > appropriate for the data directory. For large data sets consider to save() the data to .rda to reduce memory usage. Also try the `compress' option. To give you an impression: the spam data set in package kernlab has dimension 4601 x 58 and is 180K in compressed binary format. > "Writing R Extensions" > doesn't specifically mention this as a valid file extension > for that directory. Glancing around at some other packages, > I see a number that create an 'extdata' directory. Is there > a consensus on where alternative data files should be put > within a package? In most situations, I would recommend to include data just as usual in the data directory. my EUR 0.02 Z ______________________________________________ R-devel@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-devel