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"...who want to do statistics", right? Are there any good use cases for R for other stuff? (Or some interesting ways you used statistics as a "working programme
by mhd 17y ago
"...who want to do statistics", right? Are there any good use cases for R for other stuff? (Or some interesting ways you used statistics as a "working programmer" recently?)
- ugh 17y agoIt's an introduction for those already familiar with some of the concepts that have to be extensivly explained in introductions for, say, social scientists. I have to add, though, that I (as a non-programmer and aspiring social scientist) liked this tutorial much better than many other R tutorials out there. In know a little bit about programming but that was enough to pretty much understand the whole tutorial. (I have the sneaking suspicion that I'm an outlier so don't expect many other social scientists to know about basic CS concepts.) (And boy am I happy that I now can feel confident ditching SPSS in favor of R. That gruesome SPSS!)
- ramanujan 17y ago1) Well, machine learning is basically computational statistics, and machine learning is key to a lot of web apps. 2) The graphics in R are pretty good. I've used matlab and matplotlib and gnuplot. I'd say comparable functionality to matplotlib in 2D, with better 3D graphics via rgl (though I guess in that case you'd use a python OpenGL library). See: http://addictedtor.free.fr/graphiques/ http://addictedtor.free.fr/graphiques/