Data Analysis Using SAS

Charlie Hallahan
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Charlie Hallahan: USDA/Economic Research Service

Sociological Methods & Research, 1995, vol. 23, issue 3, 373-391

Abstract: This article discusses SAS as a language and environment for statistical computing. The SAS System has developed over the past 20 years from being primarily a statistical package into providing a diversified system for managing and analyzing data. The part of SAS most appropriate for statistical computing is the interactive matrix language, SAS/IML. IML is used to illustrate tasks such as M-estimation, bootstrapping, and kernel density estimation. An extensive collection of preprogrammed statistical procedures is available in SAS to carry out more standard statistical analyses such as generalized linear models or categorical modeling.

Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:23:y:1995:i:3:p:373-391

DOI: 10.1177/0049124195023003006

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