[R] listing all functions in R

Gabor Grothendieck ggrothendieck at gmail.com
Sat Jan 6 16:58:11 CET 2007


The arguments to the functions can differ too even if they
exist on multiple platforms.   system() on Windows has the
input= argument but not on UNIX.

On 1/6/07, Duncan Murdoch <murdoch at stats.uwo.ca> wrote:
> On 1/6/2007 9:25 AM, Gavin Simpson wrote:
> > On Sat, 2007-01-06 at 13:48 +0000, Prof Brian Ripley wrote:
> >> Could you tell us what you mean by
> >
> > Thank you for your reply, Prof. Ripley.
> >
> >> - 'function'  (if() and + are functions in R, so do you want those?)
> >
> > I was thinking about functions that are used like this: foo()
> > So I don't need things like "names<-". I don't need functions like +. -,
> > $, as I can highlight the separately if desired, though I'm not doing
> > this at the moment.
> >
> > Functions like for() while(), if() function() are handled separately.
> >
> >> - 'a base R installation'?   What is 'base R' (standard + recommended
> >> packages?)  And on what platform: the list is platform-specific?
> >
> > Yes, I mean standard + recommended packages. As for platform, most of my
> > intended audience will be MS Windows users, though I am using Linux
> > (Fedora) to generate this list (i.e. my R installation is on Linux).
>
> Be careful:  the installed list of functions differs slightly from
> platform to platform.  For example, on Windows there's a function
> choose.dir in the utils package, but I don't think this exists on Unix.
>
> The list also varies from version to version, so if you could manage to
> run some code in the user's installed R to generate the list on the fly,
> you'd get the most accurate list.
>
> Duncan Murdoch
>
> >
> >> Here is a reasonable shot:
> >>
> >> findfuns <- function(x) {
> >>      if(require(x, character.only=TRUE)) {
> >>         env <- paste("package", x, sep=":")
> >>         nm <- ls(env, all=TRUE)
> >>         nm[unlist(lapply(nm, function(n) exists(n, where=env,
> >>                                                mode="function",
> >>                                                inherits=FALSE)))]
> >>      } else character(0)
> >> }
> >> pkgs <- dir(.Library)
> >> z <-  lapply(pkgs, findfuns)
> >> names(z) <- pkgs
> >
> > Excellent, that works just fine for me. I can edit out certain packages
> > that I don't expect to use, before formatting as desired. I can also use
> > this function on a library of packages that I use regularly and will be
> > using in the web pages.
> >
> >> I don't understand your desired format, but
> >>
> >> write(sQuote(sort(unique(unlist(z)))), "")
> >
> > I wanted a single string "...", with entries enclosed in "''" and
> > separated by "," (this is to go in a PHP array). I can generate such a
> > string from your z, above, as follows:
> >
> > paste(sQuote(sort(unique(unlist(z)), decreasing = TRUE)),
> >       collapse = ", ")
> >
> >> gives a single-column quoted list.  It does include internal functions,
> >> operators, S3 methods ... so you probably want to edit it.
> >
> > Once again, thank you.
> >
> > All the best
> >
> > Gav
> >
> >>
> >> On Sat, 6 Jan 2007, Gavin Simpson wrote:
> >>
> >>> Dear List,
> >>>
> >>> I'm building an R syntax highlighting file for GeSHi [*] for a website I
> >>> am currently putting together. The syntax file needs a list of keywords
> >>> to highlight. How can I generate a list of all the functions in a base R
> >>> installation?
> >>>
> >>> Ideally the list would be formatted like this:
> >>>
> >>> "'fun1', 'fun2', 'fun3'"
> >>>
> >>> when printed to the screen so I can copy and paste it into the syntax
> >>> file.
> >>>
> >>> I'm sure this has been asked before, but I stupidly didn't save that
> >>> email and I couldn't come up with a suitable query parameter for
> >>> Jonathan Baron's search site to return results before timing out.
> >>>
> >>> Thanks in advance,
> >>>
> >>> Gav
> >>>
>
> ______________________________________________
> R-help at 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
> and provide commented, minimal, self-contained, reproducible code.
>



More information about the R-help mailing list