I'm trying to figure out about factors, however the on-line documentation is rather sparse. I guess, factors are intended for grouping arrays members into categories, which R names "Levels". And so we have:
* state <- c("tas", "sa", "qld", "nsw", "nsw", "nt", "wa", "wa", "qld", "vic", "nsw", "vic", "qld", "qld", "sa", "tas", "sa", "nt", "wa", "vic", "qld", "nsw", "nsw", "wa", "sa", "act", "nsw", "vic", "vic", "act") * statef <- factor(state) * statef [1] tas sa qld nsw nsw nt wa wa qld vic nsw vic qld qld sa tas sa nt wa [20] vic qld nsw nsw wa sa act nsw vic vic act Levels: act nsw nt qld sa tas vic wa With this, just visually, I know what the cateogries or Levels are. Nonetheless, two questions arise here: How can I have, computationally as opposed to visually, access to the names of these categories, and how do I get the indexes of the original array elements that belong to a particular category, say, "act"? This is, for instance, to select from another "parallel" array, the corresponding elements, say * incomes <- c(60, 49, 40, 61, 64, 60, 59, 54, 62, 69, 70, 42, 56, 61, 61, 61, 58, 51, 48, 65, 49, 49, 41, 48, 52, 46, 59, 46, 58, 43) So to select, the corresponding elements to "act": 46 43 Do you have any comments on this? Thanks, --Sergio. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.