mezza8
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I am using S Plus since it is the standard package for my course. I am finding it a bit clunky to use, still, after 6 months of on and off use. Does anyone else use S Plus?
Struggling with S Plus? Consider alternative statistical software options.
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viraltux
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I think is not a bad choice for a course; the syntax of S is virtually identical to R, and R is the language I would deeply recommend you to learn if you are any serious about statistics. You can learn more about R in: http://www.r-project.org/
mezza8
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Yes, I think I will move to R after my course finishes. R has so many more users and most of the time when I google something for S-Plus the results are actually for R. The annoyance is that S-Plus is so similar that the techniques seem to mostly be the same but I can't guarantee code from R will run on S-Plus and vice-versa.
I currently have Maple as well and was looking at getting Matlab next year. It would be nice to use one package and language for both mathematics and statistics - any thoughts on why Matlab might be good/bad for both?
I currently have Maple as well and was looking at getting Matlab next year. It would be nice to use one package and language for both mathematics and statistics - any thoughts on why Matlab might be good/bad for both?
viraltux
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There is no one package to rule them all...
Matlab is virtually the standard among engineers and very good for numerical computations, Maple and also Mathematica compete in the symbolic mathematics arena and they both are quite good (in this case you need to figure out what field of mathematics you're interested into decide which package is better for you). Among people working in biostatistics SAS is also pretty much the standard in the industry but R is pretty much the standard among statisticians of any field...
So as you see, it depends on what field you are working and even the branch of that field. But anyway, my choice is:
FOSS
Statistics: R
Symbolic Math: Maxima
Numerical Math: Octave/Scilab
Commercial
Statistics: SAS, S-Plus, Statistica... Many others.
Symbolic Math: Mathematica/Maple
Numerical Math: Matlab
Though I find that once you are proficient with the FOSS packages you have no much use for the commercial ones and this is especially true for R.
Matlab is virtually the standard among engineers and very good for numerical computations, Maple and also Mathematica compete in the symbolic mathematics arena and they both are quite good (in this case you need to figure out what field of mathematics you're interested into decide which package is better for you). Among people working in biostatistics SAS is also pretty much the standard in the industry but R is pretty much the standard among statisticians of any field...
So as you see, it depends on what field you are working and even the branch of that field. But anyway, my choice is:
FOSS
Statistics: R
Symbolic Math: Maxima
Numerical Math: Octave/Scilab
Commercial
Statistics: SAS, S-Plus, Statistica... Many others.
Symbolic Math: Mathematica/Maple
Numerical Math: Matlab
Though I find that once you are proficient with the FOSS packages you have no much use for the commercial ones and this is especially true for R.
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