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
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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--
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.
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