[R] categorized complete list of R commands?

[Bert Gunter]

... 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
folks...

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:

allAttachedFunctions <-lapply(search(),function(x){
  nm <- ls(x)
  nm[vapply(nm,function(y)is.function(get(y,pos=x)),FUN.VALUE=TRUE)]
})

## More efficient ways to do this welcomed!

Cheers,
Bert

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
> 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.welch at 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.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>
>>> 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.welch at gmail.com)
>>> >
>>> >    [[alternative HTML version deleted]]
>>> >
>>> > ______________________________________________
>>> > R-help at 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 at 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.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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