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:
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 
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...Jul. 1, 2016 04:15 PM EDT Reads: 186
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable.
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In his session at @Th...
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