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

From: Tribo Laboy <tribolaboy_at_gmail.com>
Date: Tue, 08 Apr 2008 20:08:30 +0900

Thanks all for the help and suggestions. I am little by little finding my way. I have another question to the people who use the R packaging system. Say I have a function called "myfun.R". Where am I supposed to write the help to that function? When I use promt("myfun") or package.skeleton("myfun") I get a skeleton of the .Rd file which contains both help and R source. What do you do with the original .R source file then - do you delete it? I suppose it is not necessary anymore and all changes to R source and help can be done simultaneously in the .Rd file. Then it can be used to generate all the help and R files to be run. But then .Rd files cannot be run directly from R, so each time a change is done to the source, it must be re-exported in an .R file and run. Please tell me if I am wrong. Do you keep R-souce and R-help in separate files while developing and then combine them in a single .Rd file when you're finished?

Yours still confused,

TL

On Mon, Apr 7, 2008 at 3:13 PM, Tribo Laboy <tribolaboy_at_gmail.com> 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?
>
> Rgards,
> TL
>



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