• Print  |
  • Feedback  |

FOCUS AREAS

SAS/IML and SAS/IML Studio Papers and Presentations

Rediscovering SAS/IML® Software: Modern Data Analysis for the Practicing Statistician
Rick Wicklin, SAS Institute Inc., 2009

Abstract

For over 25 years, the SAS/IML programming language has been used by researchers and SAS® programmers who write custom algorithms and analyses. Recently, SAS/IML® Studio arrived with flashy statistical graphics, new language features, and the ability to call the open-source statistical language, R.

If you are a longtime SAS/IML programmer, it is time to take a new look at the SAS/IML language. Recent language-features and functions make it easier than ever to program modern data-analytic techniques. If you have not used SAS/IML software before, it is time to discover how its high-level matrix-vector programming language can increase your productivity.

This paper presents short programs that implement modern data analyses in SAS/IML software. These analyses include exploring outliers with regression diagnostics, robust estimation of multivariate statistics, bootstrap permutation tests, and calling functions in R that compute certain exact statistics.