Rick Wicklin
Rick Wicklin RSS
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

Distances between observations in two groups

Last week I showed how to find the nearest neighbors for a set of d-dimensional points. A SAS user ... Read More

Create an ogive in SAS

My son is taking an AP Statistics course in high school this year. AP Statistics is one of the ... Read More

Simulate data from a generalized Gaussian distribution

Although statisticians often assume normally distributed errors, there are important processes for which the error distribution has a heavy ... Read More

The distribution of nearest neighbor distances

Last week I showed how to compute nearest-neighbor distances for a set of numerical observations. Nearest-neighbor distances are used ... Read More

Compute nearest neighbors in SAS

Finding nearest neighbors is an important step in many statistical computations such as local regression, clustering, and the analysis of ... Read More

Overlay a curve on a bar chart in SAS

One of the strengths of the SGPLOT procedure in SAS is the ease with which you can overlay multiple ... Read More

Coverage probability of confidence intervals: A simulation approach

The article uses the SAS DATA step and Base SAS procedures to estimate the coverage probability of the confidence ... Read More

Graph a step function in SAS

Last week I wrote about how to compute sample quantiles and weighted quantiles in SAS. As part of that ... Read More

The Lambert W function in SAS

This article describes how you can evaluate the Lambert W function in SAS/IML software. The Lambert W function is ... Read More

Weighted percentiles

Many univariate descriptive statistics are intuitive. However, weighted statistic are less intuitive. A weight variable changes the computation of ... Read More