Message-ID: <48AA6DFE.40205@cam.ac.uk>
Date: 2008-09-19T06:54:15Z
From: robin hankin
Subject: how to keep up with R?
In-Reply-To: <1115a2b00809182201w66e79a16j6f69ede455f434e6@mail.gmail.com>
Hi Wensei.
Why not do as I do? Find an interesting area of numerical
computation (perhaps not statistical) that has not been
implemented in open-source. Then write an R package
for it, under GPL-2, then write an article about the new
package in R-news or JSS.
works for me.
Best wishes
Robin
Wensui Liu wrote:
> Dear Listers,
>
> I've been a big fan of R since graduate school. After working in the
> industry for years, I haven't had many opportunities to use R and am mainly
> using SAS. However, I am still forcing myself really hard to stay close to R
> by reading R-help and books and writing R code by myself for fun. But by and
> by, I start realizing I have hard time to keep up with R and am afraid that
> I would totally forget how to program in R.
>
> I really like it and am very unwilling to give it up. Is there any idea how
> I might keep touch with R without using it in work on daily basis? I really
> appreciate it.
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.
>
--
Robin K. S. Hankin
Senior Research Associate
Cambridge Centre for Climate Change Mitigation Research (4CMR)
Faculty of Economics
The University of Cambridge
rksh1 at cam.ac.uk
01223-764877