Timeline for What programming language for statistical inference?
Current License: CC BY-SA 2.5
7 events
when toggle format | what | by | license | comment | |
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Jun 12, 2016 at 11:42 | comment | added | Frank Harrell | Hard to think of closed source systems being transparent. Even if you used only old statistical methods, R is a more more efficient system for using them, and forms a complete reproducible research toolbox. | |
Nov 22, 2010 at 1:58 | vote | accept | nkint | ||
Nov 22, 2010 at 1:21 | comment | added | Andy W | I don't disagree with that, but that doesn't make it easier to understand. I think it is pretty transparent what objects I am working with in SAS, SPSS, or Stata and the format/nature of those objects, but it isn't as transparent in R. Although R may be more cutting edge, I rarely have a need for cutting edge statistical techniques in my day to day work. | |
Nov 22, 2010 at 0:23 | comment | added | pslice | I feel like R gives the user so much more in terms of functionality. It goes above and beyond what SAS/SPSS can do. | |
Nov 22, 2010 at 0:01 | comment | added | Andy W | I must say I have to disagree about R being simpler to learn than SAS. It may be because I learned SAS and SPSS first, but I think SAS, SPSS(PASW now), and Stata are all easier languages to pick up than R. It is a subjective argument though. | |
S Nov 21, 2010 at 21:02 | history | answered | pslice | CC BY-SA 2.5 | |
S Nov 21, 2010 at 21:02 | history | made wiki | Post Made Community Wiki |