how to keep up with R?
Adaikalavan Ramasamy wrote:
I agree! The best way to learn (and remember for longer) is to teach someone else about it. And there is not reason not to repeat some of the anlysis done on SAS with R. That way you can verify your outputs or compare the presentations. If you consistently find differences in the outputs, then trying to figure out the reason may lead you to better understand the methods (e.g. different optimization or estimation procedures).
My take on this: I have repeatedly found that it is surprisingly easy to improve on existing (non-R) implementations of statistical and non-statistical computation, when working in R. Something about the structure of the language, something about the package mechanism, something about R-help, something about R-core, something about open-source, something about JSS or R-news, whatever it is, there is SOMETHING ABOUT R which lends itself to straightforward production of quality software. And that something is missing from other programming languages, IMO. rksh
Regards, Adai Barry Rowlingson wrote:
2008/9/19 Wensui Liu <liuwensui at gmail.com>:
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.
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