These sorts of tasks can be automated. See:
?Startup
-- Bert
On Tue, Jul 12, 2011 at 2:48 PM, Steve Taylor <steve.tay...@aut.ac.nz> wrote:
> My solution to the clutter problem is this: at start-up time, create a list
> of functions, attach the list and then delete the list. I haven't delved
> into making packages yet.
>
> if (any(search()=="MyFunctions")) detach(MyFunctions)
> MyFunctions <- list()
> MyFunctions$
> "%like%" <- function(x,y) { seq_along(x) %in% grep(y,x,ignore=TRUE) }
> MyFunctions$
> trim <- function(txt) { gsub("^ +| +$", "", txt) }
> # You can also put data into the list:
> MyFunctions$
> tau = 2 * pi
> # etc...
> attach(MyFunctions)
> rm(MyFunctions)
>
> All that is in MyFunctions.R which I can source() again when I update it.
>
>>>>
>
> From: "Abhijit Dasgupta, PhD" <aikidasgu...@gmail.com>
> To:<s.chamai...@yahoo.fr>
> CC:<r-help@r-project.org>
> Date: 10/Jul/2011 1:40a
> Subject: Re: [R] Storing and managing custom R functions for re-use
> I think most of us are in a similar situation. I've usually kept mine in
> a file which is sourced when I start R. The main problem I have with
> this is that it clutters up my environment with a lot of stuff I don't
> need all the time. I'm in the process of creating a custom package which
> will be lazy-loaded. I believe a previous discussion of this topic
> suggested this as the preferred method.
>
>
>
> [[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.
>
--
"Men by nature long to get on to the ultimate truths, and will often
be impatient with elementary studies or fight shy of them. If it were
possible to reach the ultimate truths without the elementary studies
usually prefixed to them, these would not be preparatory studies but
superfluous diversions."
-- Maimonides (1135-1204)
Bert Gunter
Genentech Nonclinical Biostatistics
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