On 6/14/05, Richard Mott <[EMAIL PROTECTED]> wrote: > Does anyone know a way to do the following: > > Save a large number of R objects to a file (like load() does) but then > read back only a small named subset of them . As far as I can see, > load() reads back everything. > > The context is: > > I have an application which will generate a large number of large > matrices (approx 15000 matrices each of dimension 2000*30). I can > generate these matrices using an R-package I wrote, but it requires a > large amouint of memory and is slow so I want to do this only once. > However, I then want to do some subsequent processing, comprising a very > large number of runs in which small (~ 10) random selection of matrices > from the previously computed set are used for linear modeling. So I > need a way to load back named objects previously saved in a call to > save(). I can;t see anyway of doing this. Any ideas?
Check out the g.data delayed data package on CRAN and the article in R News 2/3. ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
