Paul: 1. I do not know if any such library exists.
2. However, if I understand correctly, one usually does this sort of thing in R with functions like ?match (or ?"%in%") and logical comparison operations like ?"==" . Of course, for numeric comparisons, you need to be aware of R FAQ 7.31 If you are interested in comparing what in R are character vectors, then various string operators, e.g. ?grep, ?regexp and character operation packages (e.g. gsubfn, stringr) may be of use. As usual, you are more likely to receive a helpful answer if you do as the posting guide requests and provide a small, reproducible example of the sort(s) of thing(s) you want to do. Cheers, Bert On Thu, Jul 28, 2011 at 4:05 AM, Paul <newzealandsp...@gmail.com> wrote: > Hi, > > Does anyone know of a R library that is equivalent in functionality to > the Python standard libraries' difflib library? The python docs say > this about difflib: > > "This module provides classes and functions for comparing sequences. > It can be used for example, for comparing files, and can produce > difference information in various formats, including HTML and context > and unified diffs." > > http://docs.python.org/library/difflib.html > > Thanks, > > Paul > > ______________________________________________ > 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. > -- "Men by nature long to get on to the ultimate truths, and will often be impatient with elementary studies or fight shy of them. If it were possible to reach the ultimate truths without the elementary studies usually prefixed to them, these would not be preparatory studies but superfluous diversions." -- Maimonides (1135-1204) Bert Gunter Genentech Nonclinical Biostatistics ______________________________________________ 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.
