This post presents an example of a format lookup technique in SAS. The format lookup is very efficient because no sorting is necessary.

This post presents an example of a format lookup technique in SAS. The format lookup is very efficient because no sorting is necessary.

This post presents an example of an array lookup technique in SAS. The array lookup approach is very efficient because no sorting is necessary.

PROC SORT provides a variety of options to sort data efficiently. This post presents three important options any SAS programmer should know.

Two heads think better than one. Not always entirely true. However, they tend to think faster than one. At least in SAS. This post shows you how to save time with multithreaded processing.

Fitting discrete distributions to univariate data in SAS requires more work than the continuous case. Here I present examples of fitting the Poisson and Negative Binomial Distribution.

This post shows you the basics of both the one sided and two sided one sample t test and how to calculate t statistics and p values in SAS.

Do you often run the exact same code? Add an abbreviation in your editor and avoid typing the same code over and over again.

PROC SORT is the most common method to sort data in SAS. However it is not the only option. This post discusses three alternatives and when to use them.

The SORTED and VALIDATED flags are two important flags that SAS uses to optimize processing. This post shows you how to use them to your advantage.

The undocumented _METHOD Option is a valuable tool to provide information about the operations performed under the hood of PROC SQL.