But SAS is designed to work with by-processing, so there is a better way.
People tend to think in terms of a huge macro loop wrapped around a piece of SAS code, with additional chunks of code to get the outputs of interest and then to weld together the pieces from each iteration. The most common way that people do simulations and re-sampling plans in SAS® is, in fact, the slow and awkward way.
IML matrix programing statistical computingĭon't Be Loopy: Re-Sampling and Simulation the SAS WayĪn excellent paper by David Cassell presented the SAS user group about how to program resampling statistics in SAS. It discusses statistical and computational algorithms, statistical graphics, simulation, efficiency, and data analysis. This blog focuses on statistical programming.
Rick Wicklin is a researcher in computational statistics at SAS and is a principal developer of PROC IML and SAS/IML Studio. Graphics Linear Models Structural Equation Models Categorical Models Is there a cost associated with this resourceĪ blog by SAS Institute which discusses new graphical features and tips.Ī variety resources and code for producing graphs and analyzing data Statistical knowledge level required (1=none, 4=masters level 6=PhD level) Programming knowledge required (1=none to 6 professional programmer) Description - Provide helpful comments about this resource