My point is your problem is not entirely related to this package in
particular but more "should I trust additional R packages", ie should I
use package cron when R can handle date objects, should I use ggplot
when i could do it all in grid, ...
operators comes with unit tests that allow me to trust it to work the
way I want it to work. Please send me additional tests if you want more
coverage.
Romain
On 07/03/2009 12:57 AM, seeliger.c...@epamail.epa.gov wrote:
Thanks for replying, Francois.
To directly answer your question, the difference between using base R
functions and a library comes down to code correctness and stability, as
well as future support. Portions of the language, whether in base or in
packages, which have been around a long time, or with many people
working on them, have had more time to be tested.
Your question is, in some ways, my own. Stated in the reverse, why
should I use a package that allows me write *differently*, but not
necessarily *clearer*? I'm posing my question to the larger and more
experienced audience in the hopes that someone will enlighten me.
It's entirely possible that program clarity is dependent upon the native
spoken language -- the use of the %but% operator may allow R phrases
that feel much more natural to others than it does to my native English
noggin. There may be other reasons why this package is totally
indispensable. I don't know, but I bet others here do.
cur
Romain Francois <romain.franc...@dbmail.com> wrote on 07/02/2009
02:39:25 PM:
> How is this different to dependency on regular functions ?
>
> On 07/02/2009 10:29 PM, seeliger.c...@epamail.epa.gov wrote:
> > Folks,
> >
> > In brief -- how many of you have found the 'operators' package to be
> > valuable in their work?
> >
--
Curt Seeliger, Data Ranger
Raytheon Information Services - Contractor to ORD
seeliger.c...@epa.gov
541/754-4638
--
Romain Francois
Independent R Consultant
+33(0) 6 28 91 30 30
http://romainfrancois.blog.free.fr
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