The best articles of 2013: Twelve posts from The DO Loop that merit a second look


I began 2014 by compiling a list of 13 popular articles from my blog in 2013. Although this "People's Choice" list contains many articles that I am proud of, it did not include all of my favorites, so I decided to compile an "Editor's Choice" list. The blog posts on today's list were not widely popular, but they deserve a second look because they describe SAS computations that are elegant, surprising, or just plain useful.

I often write about four broad topics: the SAS/IML language, statistical programming, simulating data, and data analysis and visualization. My previous article included five articles on statistical graphics and data analysis, so here are a few of my favorite articles from the other categories.

The SAS/IML language and matrix programming

Here are a few articles that can help you get more out of the SAS/IML product:

Serious SAS/IML programmers should read my book Statistical Programming with SAS/IML Software.

Simulating data with SAS

Here are a few of my favorite articles from 2013 about efficient simulation of data:

Readers who want to learn more about simulating data might enjoy my book Simulating Data with SAS, which contains hundreds of examples and exercises.

Statistical programming and computing

Much of my formal training is in numerical analysis and matrix computations. Here are a few interesting computational articles that I wrote. Be warned: some of these articles have a high "geek factor"!

There you have it, my choice of 12 articles that I think are worth a second look. What is your favorite post from The DO Loop in 2013? Leave a comment.


About Author

Rick Wicklin

Distinguished Researcher in Computational Statistics

Rick Wicklin, PhD, is a distinguished researcher in computational statistics at SAS and is a principal developer of PROC IML and SAS/IML Studio. His areas of expertise include computational statistics, simulation, statistical graphics, and modern methods in statistical data analysis. Rick is author of the books Statistical Programming with SAS/IML Software and Simulating Data with SAS.

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