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I gave an hour-long presentation about R to a group of engineering students today at lunchtime. They gave me a certificate of appreciation, a Department of Industrial and Systems Engineering notepad, and a slim laser pointer. I hope they got what they wanted from the talk. It was half Keynote presentation, half me-bumbling-through-scripts-and-websites. An hour isn't really long enough to dig in and play with R. I would put it in the column of "not my best talk, ever," but I hope it was sufficient to intrigue some of these students into poking at R on their own. The questions at the end were difficult to answer. I've never used MATLAB, so I don't know how R compares to MATLAB (apples and oranges?). I don't know what factors contribute to R's stability vs. instability or major causes of crashes. I don't think that R is the best choice for analyzing a super-complex dataset involving weather conditions, crop types, and crop yields. But then again, I don't know what program might be better for that purpose, either.
Oh well. The students were quite nice, and quite a homogenous non-white population (but not as male-dominated as you might think!). Interesting to see how racial and gender divides work at this university.
Up next, a talk on leafcutter ant nutrition at my brother's university next Thursday. I hope I don't completely embarrass myself in front of his entire department. At least they won't ask me any questions about MATLAB. On the other hand, for the talk after that one I'll be back among a math-oriented audience, presenting my non-mathy data. So I'm not completely out of the woods yet.
But before any of that, tonight, a bike ride to downtown Bryan, then my friend A's birthday party, then up early to volunteer at a bike ride tomorrow morning until 2 pm. Then a pause, then a contemporary dance performance. I might sleep on Sunday.
Oh well. The students were quite nice, and quite a homogenous non-white population (but not as male-dominated as you might think!). Interesting to see how racial and gender divides work at this university.
Up next, a talk on leafcutter ant nutrition at my brother's university next Thursday. I hope I don't completely embarrass myself in front of his entire department. At least they won't ask me any questions about MATLAB. On the other hand, for the talk after that one I'll be back among a math-oriented audience, presenting my non-mathy data. So I'm not completely out of the woods yet.
But before any of that, tonight, a bike ride to downtown Bryan, then my friend A's birthday party, then up early to volunteer at a bike ride tomorrow morning until 2 pm. Then a pause, then a contemporary dance performance. I might sleep on Sunday.
no subject
Date: 2014-10-03 11:04 pm (UTC)no subject
Date: 2014-10-04 12:49 am (UTC)no subject
Date: 2014-10-06 01:02 pm (UTC)no subject
Date: 2014-10-06 07:47 pm (UTC)Someone that I met last week said she applied for an internship at National Center for Atmospheric Research, and Fortran was one of the skills that was needed for the position.
no subject
Date: 2014-10-04 12:54 am (UTC)Pretty much.
I don't think that R is the best choice for analyzing a super-complex dataset involving weather conditions, crop types, and crop yields. But then again, I don't know what program might be better for that purpose, either.
Depending on what's meant by "super-complex", some R libraries might work. But if you mean what I think you mean, probably a dedicated data-mining program.
Anyway, I'm glad you survived your talk on how to do statistics like a pirate. :)
no subject
Date: 2014-10-04 12:56 am (UTC)no subject
Date: 2014-10-06 01:04 pm (UTC)no subject
Date: 2014-10-06 01:03 pm (UTC)