[R] categorized complete list of R commands?
gunter.berton at gene.com
Thu Apr 4 20:32:57 CEST 2013
... and how do you (algorithmically) define "categorized"? Seems like
a clairvoyant oracle would be required (probably could be used to
solve NP complete problems in polynomial time, too!). Or the google
In the meanwhile, a slight enhancement to Michael's suggestion might
be to first filter out non-functions from the list returned, e.g via:
nm <- ls(x)
## More efficient ways to do this welcomed!
On Thu, Apr 4, 2013 at 10:52 AM, R. Michael Weylandt
<michael.weylandt at gmail.com> wrote:
> On Thu, Apr 4, 2013 at 3:57 PM, ivo welch <ivo.welch at 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
> Also, let's please keep emails on the list and avoid top-posting in so
> far as possible.
>>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.
>> Ivo Welch (ivo.welch at gmail.com)
>> 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.weylandt at gmail.com> <michael.weylandt at gmail.com> wrote:
>>> On Apr 4, 2013, at 12:34 AM, ivo welch <ivo.welch at anderson.ucla.edu>
>>> > 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.
>>> > regards,
>>> > /iaw
>>> > ----
>>> > Ivo Welch (ivo.welch at gmail.com)
>>> > [[alternative HTML version deleted]]
>>> > ______________________________________________
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>>> > http://www.R-project.org/posting-guide.html
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> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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