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*To*: h.kadarmideen@ed.sac.ac.uk*Subject*: Re: R-square statistic*From*: Arthur Gilmour <gilmoua@apollo.agric.nsw.gov.au>*Date*: Mon, 7 Aug 2000 08:46:41 +1000 (EST)*Cc*: asreml@chiswick.anprod.csiro.au*Reply-To*: Arthur Gilmour <gilmoua@apollo.agric.nsw.gov.au>*Sender*: asreml-owner@lamb.chiswick.anprod.csiro.au

Dear Haja, ASREML does not report an Rsqu value but in many cases it will not be difficult to work one out from the ANOVA table when the first term is mu and there are no fixed effects absorbed (in the SPARSE equations). Ignoring the mu line, calculate the relative variance accounted in the model as the sum of products of df x R-incr. The relative error variance is the error DF so R-square Relative Model Variance ----------------------- SUm of both components. E.g. in shf example [9.2] Anova is mu 1 853.96 c(var) 24 13.02 Error 125 RMV = 24*13.02 = 312.48 So R^2 is 312.48/(125 +312.48) = 0.714 Note that Rsqu is a concept from fixed effect models and it is not obvious to me how it should be defined in multistrata mixed models. You can of course do the same calculation for GLMM models but I am not aware of this being widely used and its meaning is a little less direct becasue there it is with respect to a working variable which changes as the model changes so has a moving basis. Others comments are welcome. Arthur > X-Authentication-Warning: lamb.chiswick.anprod.csiro.au: petidomo set sender to asreml-owner@lamb.chiswick.anprod.csiro.au using -f > From: "Haja Kadarmideen" <h.kadarmideen@ed.sac.ac.uk> > To: asreml@chiswick.anprod.csiro.au > Date: Fri, 4 Aug 2000 11:29:58 +0100 > Subject: R-square statistic > > Dear ASREML'ers, > A very simple question and sorry if this has been clarified before. > What is the equivalent of R-square (Multiple Correlation Coefficient) in > ASREML-GLMM and how to get this ? -something that tells us about > the adequacy of the model fitted, with effect of mean of y eliminated ? > I am not sure if testing significance of 'fixed' or 'random' effect in the > model would neccssarily lead to similar statistic, as they don't give us > any idea about the appropriateness of the whole model itself ? > Thanks in advance > Haja > -- > Asreml mailinglist archive: http://www.chiswick.anprod.csiro.au/lists/asreml <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><> Arthur Gilmour PhD mailto:Arthur.Gilmour@agric.nsw.gov.au Principal Research Scientist (Biometrics) fax: <61> 2 6391 3899 NSW Agriculture <61> 2 6391 3922 Orange Agricultural Institute telephone work: <61> 2 6391 3815 Forest Rd, ORANGE, 2800, AUSTRALIA home: <61> 2 6362 0046 ASREML is still free by anonymous ftp from pub/aar on ftp.res.bbsrc.ac.uk or point your web browser at ftp://ftp.res.bbsrc.ac.uk/pub/aar/ To join the asreml discussion list, send the message subscribe mailto:asreml-request@chiswick.anprod.CSIRO.au To send messages to the list, mailto:asreml@chiswick.anprod.CSIRO.au Asreml list archive: http://www.chiswick.anprod.csiro.au/lists/asreml <> <> <> <> <> <> <> While they watched, He was taken up, and a cloud received Him out of their sight. And while they looked steadfastly toward heaven as He went up, behold two men stood by them in white apparel who also said "Men of Galilee, why do you stand gazing up into heaven? This same Jesus who was taken up from you into heaven, will so come in like manner as you saw Him go into heaven." Acts 1 9:11 <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><> -- Asreml mailinglist archive: http://www.chiswick.anprod.csiro.au/lists/asreml

**Follow-Ups**:**RE: R-square statistic***From:*"N.W. Galwey" <ngalwey@cyllene.uwa.edu.au>

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