Table comparing the statistical capabilities of software packages

August 13, 2014
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

A statistical consultant known only as "Stanford PhD" has put together a table comparing the statistical capabilities of the software packages R, Matlab, SAS, Stata and SPSS. For each of 57 methods (including techniques like "ridge regression", "survival analysis", "optimization") the author ranks the capabilities of each software package as "Yes" (fully supported), "Limited" or "Experimental". Here are the first few rows of the table:

Stat-software

Of the 57 techniques listed in the table, here are the counts of the number fully supported ("Yes") by each package:

R 57
Matlab 57
SAS 42
Stata 29
SPSS 20

The table appears to have been last updated in late 2013, but doesn't include two other notable packages: Julia and Python. Anyone know of a similar table that includes those?

Stanford PhD: Statistical Software

To leave a comment for the author, please follow the link and comment on his blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.