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There were boatloads of SAS representatives at that conference and they sure didn’t seem to be on the leading edge. Then he asked if SAS was even offered as an option. At that R meetup last week, Jim Porzak asked the audience if there were any recent grad students who had learned R in school. I know dozens of people under 30 doing statistical stuff and only one knows SAS.
![execute a script in freemat execute a script in freemat](https://i.ytimg.com/vi/OCE-nC5OTZ0/maxresdefault.jpg)
I’ve never used the Matlab Statistical Toolbox.Matlab is the best for developing new mathematical algorithms.R’s is surprisingly good (Scheme-derived, smart use of named args, etc.) if you can get past the bizarre language constructs and weird functions in the standard library. It sometimes doesn’t seem to be much more than a scripting language wrapping the matrix libraries. In terms of functionality and approach, SciPy is closest to Matlab, but it feels much less mature.
![execute a script in freemat execute a script in freemat](https://i.ytimg.com/vi/Ev8NtBE2wmE/maxresdefault.jpg)
You can use SAGE or Enthought but neither is standard (yet). scipy.linalg)? And then there’s package compatibility version hell. Why does matplotlib come with “pylab” which is supposed to be a unified namespace for everything? Isn’t scipy supposed to do that? Why is there duplication between numpy and scipy (e.g. Python “immature”: matplotlib, numpy, and scipy are all separate libraries that don’t always get along.More analytic solutions are Excel, SAS, Stata, and SPSS. Two big divisions on the table: The more programming-oriented solutions are R, Matlab, and Python.There’s a bunch more to be said for every cell. Python (general-purpose programming language) I’m posting the table here in hopes of useful comments. I think most people choose one based on what people around them use or what they learn in school, so I’ve found it hard to find comparative information. man page repository version 0.Lukas and I were trying to write a succinct comparison of the most popular packages that are typically used for data analysis. Please use the search function in your browser window (Ctrl+F) to search for sections (Section: ) or to search for specific man page entries. Many of these man page repositories are very large. Repository Loaded Debian 7.7 Commands - 81,313 Total Man Pages in Repository