Re: [R] How to pack my stuff into a package (library, collection)?

From: Simon Blomberg <s.blomberg1_at_uq.edu.au>
Date: Mon, 07 Apr 2008 16:49:15 +1000

On Mon, 2008-04-07 at 15:13 +0900, Tribo Laboy wrote:
> Hello,
>
> I am new useR, I have written some functions, which I currently use by
> "source"-ing them from the files.
> That's OK, but when I my functions start counting in the tens and
> hundreds I'd be glad to be able to type
> "help.search("my_obscure_fun")" and get a sensible reply. I also want
> to be able to load them as a package at startup and not have to
> "source" each one individually. I read through the "Writing R
> Extensions" file, but I am overwhelmed with the vast amount of
> prescribed detail that Extension Authors must follow - directory
> structure, file structure, etc. Luckily, I found the "prompt"
> function, which helps in writing of help-files in the form of "fill-in
> the blanks". But that's only for the help-files. Reading further, it
> gets even more complicated. The user is referred to the "R
> Installation and Administration" document, which says that:
>
> If you want to build R or add-on packages from source in Windows, you
> will need to collect, install and test an extensive set of tools.
>
> These seem to include among others Perl and compiler. But R is an
> interpreted and cross-platform language, I don't understand the need
> for additional platform specific tools just to call a user collection
> of R-files. Anyone knows of a smooth introduction to these topics?
>

Have a look at ?package.skeleton. It should get you started. If you just want to build packages with pure R (no shared libraries etc.), I think you won't need the other tools.

Cheers,

Simon.

> Rgards,
> TL
>
> ______________________________________________
> 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.

-- 
Simon Blomberg, BSc (Hons), PhD, MAppStat. 
Lecturer and Consultant Statistician 
Faculty of Biological and Chemical Sciences 
The University of Queensland 
St. Lucia Queensland 4072 
Australia
Room 320 Goddard Building (8)
T: +61 7 3365 2506
http://www.uq.edu.au/~uqsblomb
email: S.Blomberg1_at_uq.edu.au

Policies:
1.  I will NOT analyse your data for you.
2.  Your deadline is your problem.

The combination of some data and an aching desire for 
an answer does not ensure that a reasonable answer can 
be extracted from a given body of data. - John Tukey.

______________________________________________
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.
Received on Mon 07 Apr 2008 - 06:52:17 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Mon 07 Apr 2008 - 09:30:27 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive