Rick Wicklin
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Research Statistician Developer

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. Follow @RickWicklin on Twitter.

Recent Posts

Monitor convergence during simulation studies in SAS

Ugh! Your favorite regression procedure just printed a warning to the SAS log. Something is wrong, and your attempt to fit a model to the ... Read More

Video: Ten tips for simulating data with SAS

One of my presentations at SAS Global Forum 2015 was titled "Ten Tips for Simulating Data with SAS". The paper was published in the conference ... Read More

She wants to be an airborne ranger

I wanna be an airborne ranger, Live the life of guts and danger.* If you are an 80's movie buff, you might remember the scene ... Read More

Correlations between groups of variables

Typically a correlation analysis reports the correlations between all pairs of variables, including the variables with themselves. The resulting correlation matrix is square, symmetric, and ... Read More

Create heat maps with PROC SGPLOT

When SAS 9.4m3 was released last month (including SAS/STAT and SAS/IML 14.1), I was happy to see that a HEATMAP statement had been added to ... Read More

The drunkard's walk in 2-D

Last month I wrote about how to simulate a drunkard's walk in SAS for a drunkard who can move only left or right in one ... Read More

Those tricky PERCENT formats

When using SAS to format a number as a percentage, there is a little trick that you need to remember: the width of the formatted ... Read More

Regression coefficient plots in SAS

Last week's post about odds ratio plots in SAS made me think about a similar plot that visualizes the parameter estimates for a regression analysis. ... Read More

Where did it come from? Adding the source of each observation to a SAS data set

Imagine the following scenario. You have many data sets from various sources, such as individual stores or hospitals. You use the SAS DATA step to ... Read More

Large matrices in SAS/IML 14.1

Last week, SAS released the 14.1 version of its analytics products, which are shipped as part of the third maintenance release of 9.4. If you ... Read More