On Jun 13, 2010, at 3:44 PM, Henrique Dallazuanna wrote:
Try this:
sapply(installed.packages()[,1], function(x)try(ls(asNamespace(x))))
You could clean that up a bit with:
funlist <- sapply(installed.packages()[,1],
function(x)try(ls(asNamespace(x))))
function.list <- fun.list[lapply(fun.list, length) >1] # removes all
entries for the package with no namespace.
I was left wondering if the speed characteristics of an implementation
that needed to search against 32K names might be a bit slow?
> length(function.list)
[1] 211 # number of installed packages on my machine with namespaces
> sum(unlist(lapply(function.list, length)))
[1] 31960 # number of function names
You might want to limit your search to base R packages minus
"datasets" ( from R-FAQ listing):
http://cran.r-project.org/doc/FAQ/R-FAQ.html#Add_002don-packages-from-CRAN
core.pkgs <- c("base", "grDevices", "graphics", "grid", "methods",
"splines", "stats", "stats4", "tcltk", "tools", "utils")
core.fun.list <- sapply(core.pkgs, function(x) try(ls(asNamespace(x))))
sum(unlist(lapply(core.fun.list[lapply(core.fun.list, length) >1],
length)))
[1] 4036
--
David.
On Sun, Jun 13, 2010 at 9:30 AM, Data Monkey <coco.datamon...@gmail.com
>wrote:
Thanks Joris. Very helpful.
I had thought of that, just curious to see if it was possible to
get a
fresh list in R.
After reading your email I think perhaps my wording was a bit
loose. I
meant commands in the pre-installed packages.
So basically, "out of the box" what commands will R recognize.
I had found the full reference manual for R online and parsed the
table of
contents into a nice XML file I could use as a possible solution.
However, your attached file looks a bit more complete (haven't
really given
much thought to the reason yet). Thanks again for sending it.
I'm using Coda on OS X, which is really designed for Web dev, but I
like it
so much I've added support for Stata and now want R. It's got
Terminal
bult-in, so I can invoke R through there.
Anyway, my ultimate goal is to not only get syntax highlighting,
but also
autocompletion. If possible in the prediction, also get the method
(where
applicable) signature. Coda allows all this.
I use this a lot when coding in PHP in Coda and C# in Visual Studio
- I
think Microsoft call it Intellisense or something.
Cheers for the help.
On 13/06/2010, at 9:47 PM, Joris Meys wrote:
Hi,
Take a look at any of the R-editors, like Tinn-R, Emacs-ESS, Eclipse
with StatET,... They contain lists you can use. Also the listings
package of LaTeX contains a wordlist for R.
Getting all installed commands out of R is not doable with a single
command as far as I know. R works completely different than Stata; R
is a fullblown programming language, not a statistical program.
Try to
find a list of all installed Perl commands for example...
Attached is the recognition file of Tinn-R. Reserved 1 are special
keywords, Reserved 2 is a list of the most commonly used commands in
the pre-installed packages, and Reserved 3 is a list of common
parameters of those functions. It's submitted with Tinn-R under the
GNU license, so keep that in mind when using it.
But instead of re-inventing the wheel and constructing your own
editor, you could take a look at one of those mentioned above. On
Windows, I recommend Tinn-R for daily scripting, and Eclipse for
developing packages and the likes. Both offer the advantage of
direct
communication with the R console.
Cheers
Joris
On Sun, Jun 13, 2010 at 9:31 AM, Data Monkey <coco.datamon...@gmail.com
>
wrote:
I'm pretty new to R, but have experience with other languages,
both OO
and scripting.
I'm trying to add support for R to my text editor of choice and
to do
this I need a list of installed commands I can markup with XML.
I'd then simply feed in the marked up list into my text editor's
library
and I'm off.
I've done this in Stata before using the following command:
getcmds using "~/Desktop/StataCommands.txt"
Does anyone know of a way to do this in R?
Any pointers much appreciated.
Thanks!
______________________________________________
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
-------------------------------
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
<Tinn-R_recognized words.r>
______________________________________________
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PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
