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The Adjusted Rand Statistic: A SAS Macro

Published online by Cambridge University Press:  01 January 2025

Dennis G. Fisher  and
Paul Hoffman
Dennis G. Fisher*
Affiliation:
Center for Alcohol and Addiction Studies, University of Alaska Anchorage
Paul Hoffman
Affiliation:
Office of Academic Computing, University of California, Los Angeles
*
Reprint requests should be sent to Dennis G. Fisher, Center for Alcohol and Addiction Studies, University of Alaska Anchorage, 3211 Providence Drive, Anchorage, Alaska 99508.
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Abstract

A macro for calculating the Hubert and Arabie (1985) adjusted Rand statistic is presented. The adjusted Rand statistic gives a measure of classification agreement between two partitions of the same set of objects. The macro is written in the SAS macro language and makes extensive use of SAS/IML software (SAS Institute, 1985a, 1985b). The macro uses two different methods of handling missing values. The default method assumes that each object that has a missing value for the classification category is in its own separate category or cluster for that classification. The optional method places all objects with a missing value for the classification category into the same category for that classification.

Type
Computational Psychometrics
Information
Psychometrika , Volume 53 , Issue 3 , September 1988 , pp. 417 - 423
Copyright
Copyright © 1988 The Psychometric Society

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Footnotes

This study was supported in part by Individual National Research Service Award F32 DA 05283 from the National Institute on Drug Abuse.

The authors would like to thank the following people for assistance in the preparation of this manuscript: Philip Bardsley, Mike Graham, Eric Holman, Glenn Milligan, Lynn Pulliam, Janice Rayman, Beth Riddle, Matthew Schall, and Thomas Wickens

Requests for the Macro code can be sent via BITNET: CUSGPXH @ UCLAMVS. A copy of the macrocode can also be obtained by sending a stamped self-addressed mailer and a PC-DOS formatted floppy diskette to Paul Hoffman, 5628 MSA, UCLA, Los Angeles, CA 90024-1557.

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