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@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
[EMAIL PROTECTED]
01223-764877
______________________________________________
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.
