Thanks, both of you, for the helpful links. It's good to get things from a few different perspectives. Tim Smith's pages were a quick, fun read. There's a lot there that I wish I'd known when I was struggling through a couple R scripts I wrote. I still feel like I've barely scratched the surface, as did Tim's article. Lots of other odd inconsistencies in R, like row.names vs colnames and stuff like that. And that's before you even start learning about the oodles of stats libraries available and how to use them, including their often inconsistent requirements/specs for arguments & return values.

Gilles

On 05/10/2015 9:23 AM, Sean Walberg wrote:

It's not all about you, Adam. In the same manner with which you posted some R advice that worked for you, I posted some that worked for me.

Sean

On Mon, Oct 5, 2015 at 9:44 AM, Adam Thompson <athompso@athompso.net> wrote:

That only works for a subset of users: those who learn through watching/listening to courses and can wait 4 weeks or more before they need to actually accomplish something.
In the end, I managed to get the smoothed 3D graph I needed in under 2 days. But that was 2 days of solid blue air around me.

(BTW: the course you referred to also has multiple prerequisites, this looks like the starting point: https://www.coursera.org/course/datascitoolbox.)

-Adam

On 15-10-05 05:16 AM, Sean Walberg wrote:

There are several good courses on coursera. No only do you learn R, you learn some applications. There is one on regression models starting today!

Sean

On Sunday, 4 October 2015, Adam Thompson <athompso@athompso.net> wrote:

http://arrgh.tim-smith.us/

I wish I had known of this resource the last time I tried to use R for something. Maybe it will help someone else.
-Adam

-- 
Gilles R. Detillieux              E-mail: <grdetil@scrc.umanitoba.ca>
Spinal Cord Research Centre       WWW:    http://www.scrc.umanitoba.ca/
Dept. of Physiology and Pathophysiology, Faculty of Health Sciences,
Univ. of Manitoba  Winnipeg, MB  R3E 0J9  (Canada)