[R] Response to query re: calculating intraclass correlations

Karl Knoblick karlknoblich at yahoo.de
Wed May 17 19:52:15 CEST 2006

Thanks Paul,
I hope to get the Futrell article - but what do you mean by "... described in P&B." - "P&B"???

----- Ursprüngliche Mail ----
Von: Paul Mathews <pmathews at apk.net>
An: r-help at stat.math.ethz.ch; karlknoblich at yahoo.de
Gesendet: Mittwoch, den 17. Mai 2006, 17:49:30 Uhr
Betreff: Response to query re: calculating intraclass correlations


If you use one of the specialized packages to calculate your ICC, make sure that you know what you're getting. (I haven't checked the packages out myself, so I don't know either.)

You might want to read David Futrell's article in the May 1995 issue of Quality Progress where he describes six different ways to calculate ICCs from the same data set, all with different interpretations. All of the inputs for these calculations come from the repeated measures analysis which is described in P&B.

Good luck!


Message: 1
Date: Tue, 16 May 2006 10:09:54 +0000 (GMT)
From: Karl Knoblick <karlknoblich at yahoo.de>
Subject: [R] Interrater and intrarater variability (intraclass
    correlation    coefficients)
To: r-help at stat.math.ethz.ch
Message-ID: <20060516100954.6267.qmail at web26504.mail.ukl.yahoo.com>
Content-Type: text/plain; charset=us-ascii


I want to calculate the intra- and interrater reliability of my study. The design is very simple, 5 raters rated a diagnostic score 3 times for 19 patients.

Are there methods/funtions in R? I only found packages to calculate interrater variability and intraclass correlation coefficients for matrices of n*m (n subjects, m raters) - I have n subjects, m raters and r repetitions.

Can anybody help?


Paul Mathews
Mathews Malnar and Bailey, Inc.
217 Third Street, Fairport Harbor, OH 44077
Phone: 440-350-0911
Fax: 440-350-7210
        Paul: pmathews at apk.net, paul at mmbstatistical.com
        Rebecca: rmalnar at apk.net, bek at mmbstatistical.com
Web: www.mmbstatistical.com

More information about the R-help mailing list