On Thu, Apr 4, 2013 at 3:57 PM, ivo welch <ivo.we...@gmail.com> wrote: > > thanks, michael. how do I get all functions, not just my own, that can > possibly be used?
It's somewhat ill-defined as functions can be created at any moment. But as a start lapply(search(), ls) might get you going. Though my original idea was to access the indices of the HTML help system, with something like help.start() -> packages -> whichever package you want. I'm sure this can all be accessed automatically as well. Also, let's please keep emails on the list and avoid top-posting in so far as possible. Michael >I guess I could just start with each letter and then try > escape for command completion, but this seems silly. ls(environ=parentenv) > did not work (ignore capitalization) at the top level for me. > > /iaw > ---- > Ivo Welch (ivo.we...@gmail.com) > http://www.ivo-welch.info/ > J. Fred Weston Professor of Finance > Anderson School at UCLA, C519 > Director, UCLA Anderson Fink Center for Finance and Investments > Free Finance Textbook, http://book.ivo-welch.info/ > Editor, Critical Finance Review, http://www.critical-finance-review.org/ > > > > On Thu, Apr 4, 2013 at 7:44 AM, R. Michael Weylandt > <michael.weyla...@gmail.com> <michael.weyla...@gmail.com> wrote: >> >> >> >> On Apr 4, 2013, at 12:34 AM, ivo welch <ivo.we...@anderson.ucla.edu> >> wrote: >> >> > every time I read the R release notes for the next release, I see many >> > functions that I had forgotten about and many functions that I never >> > knew >> > existed to begin with. (who knew there were bibtex facilities in R? >> > obviously, everyone except me.) >> > >> > I wonder whether there is a complete list of all R commands (incl the >> > standard packages) somewhere, preferably each with its one-liner AND >> > categorization(s). the one-liner can be generated from the >> > documentation. >> > I am thinking one categorization for function area (e.g., "programming >> > related" for, say, deparse; and "statistical model related" for lm; and >> > another categorization for importance (e.g., like "common" for lm and >> > "obscure" for ..). Such categorizations require intelligence. >> > >> > if I am going to do this for myself, I think a csv spreadsheet may be a >> > good idea to make it easy to resort by keys. >> >> I don't think all if those exist already, but the help system gives >> indices for each package and, within the core packages, things are >> relatively well categorized simply by knowing the package they're in. Not a >> full answer, but perhaps saves you a bit of time. >> >> Michael >> >> >> > >> > regards, >> > >> > /iaw >> > >> > ---- >> > Ivo Welch (ivo.we...@gmail.com) >> > >> > [[alternative HTML version deleted]] >> > >> > ______________________________________________ >> > 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. > > ______________________________________________ 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.