Use the local= argument of source. Here we createa a list, L, whose ith component is an environment, viz. the environment of the instance of f that did the sourcing, containing the sourced objects. First we create some test files: /a1 and /a2 and then we create L. The components of L can be referred to as L[[1]], L[[2]] or using filenames L[["a1"]], L[["a2"]] and the components can be extracted via L[["a1"]]$a, etc.
# create test files files <- paste("/a", 1:2, sep = "") for(i in seq(files)) cat("a <-", i, "\n", file = files[i]) # read them back f <- function(.x) { source(.x, local = TRUE); environment() } L <- sapply(files, f, simplify = FALSE) ls(L[[1]]) # "a" L[[1]]$a # 1 L[["/a2"]][["a"]] # 2 On 4/1/06, Werner Wernersen <[EMAIL PROTECTED]> wrote: > Hi, > > I make a number of experiments with a software which > spits out one .R file of data objects to be sourced > for each experiment. Now, the files repeat the data > object names but ultimately I also want to perform > comparision statistics between several objects. > > Now my question is, is there a slick way to "wrap" > those data objects while sourcing each experiment file > so that for instance I get an array m[] for each > experiment and can access the objects by using > m[1].object1 and so on? > > I am thankful for any suggestion! > Werner > > ______________________________________________ > 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 > ______________________________________________ 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