On 4/23/2009 7:15 AM, mau...@alice.it wrote:
I read the on-line documentation.
What I am still missing is how I run my program after encapsulating it in a
package.
I will have to load the package ... just guessing
If I had a large program that I needed to run just once, e.g. an
analysis or simulations for a paper, here's how I would organize it:
- Identify all the general purpose functions and put them in a package.
- The one-off parts of the code don't really belong as functions in a
package, though there's nothing to stop you from doing that. I'd
probably put them into a vignette, or just write the whole paper in
Sweave, which is almost the same thing.
If your general purpose functions do something new that would be useful
to others, you might want to polish up the package and send it to CRAN
(and perhaps submit it with a supporting paper to JSS). But that's not
necessary: a package is a good way to organize code for your own use too.
Duncan Murdoch
Thank you
maura
-----Messaggio originale-----
Da: baptiste auguie [mailto:ba...@exeter.ac.uk]
Inviato: gio 23/04/2009 12.17
A: mau...@alice.it
Cc: r-help Help
Oggetto: Re: R: [R] how to split and handle a big R program into multiple files
It is an R command (package utils), see ?package.skeleton
baptiste
On 23 Apr 2009, at 10:51, mau...@alice.it wrote:
Is that an R command ?
I browswd for the on-line hlp about such a command but could not
find it.
Thank you.
maura
-----Messaggio originale-----
Da: baptiste auguie [mailto:ba...@exeter.ac.uk]
Inviato: gio 23/04/2009 11.48
A: mau...@alice.it
Cc: r-help Help
Oggetto: Re: [R] how to split and handle a big R program into
multiple files
If most of the functions are quite stable (you don't change them too
often), you could also consider creating a R package with
package.skeleton.
baptiste
On 23 Apr 2009, at 10:39, jgar...@ija.csic.es wrote:
> source() and the use of functions
> ...
> Javier
> ---
>
>> I am working on a program totally written in R which is now getting
>> bigger
>> and bigger so that editling the only file that contains all the
>> functions
>> is becoming more and more unmanageable.
>> I wonder whether it is possible to spread the R code, making up the
>> same
>> program, in a number of smaller files and then call them all, in
>> the right
>> order, through a list of something like the C language <include>
>> directive.
>>
>> Any other suggestion how to organize, handle, and maintain a big R
>> program
>> is welcome.
>>
>> Thank you in advance,
>> Maura
>>
>>
>> tutti i telefonini TIM!
>>
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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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.
>>
>
> ______________________________________________
> R-help@r-project.org mailing list
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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.
_____________________________
Baptiste Auguié
School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK
Phone: +44 1392 264187
http://newton.ex.ac.uk/research/emag
______________________________
Alice Messenger ;-) chatti anche con gli amici di Windows Live
Messenger e tutti i telefonini TIM!
er
_____________________________
Baptiste Auguié
School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK
Phone: +44 1392 264187
http://newton.ex.ac.uk/research/emag
______________________________
tutti i telefonini TIM!
[[alternative HTML version deleted]]
------------------------------------------------------------------------
______________________________________________
R-help@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@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.
