Hi, I'm running a model in ASRemlR and the conditional wald statistics table is producing groupings for the marginality of some variables (A's B's and C's in the tables below) that we are struggling to understand. From our understanding of the model we are fitting and the reference manual, we were expecting main effects to be grouped together (e.g Maring "A") and the two way interactions to be grouped together (e.g. Margin "B") and to be marginal with respect to main effects and then the three-way interactions to be grouped together (e.g. Margin "C") and to be marginal with respect to two-way interactions and main effects. However, this doesn't seem to be happening. For example, the main effect of yr (year - of which there are 2 and is a factor) appears to be given Margin "C",which groups it with a number of 2-way interactions and the three-way interactions in terms of marginality. Does anyone have any suggestions as to why is this the case?
I have been told that ASReml has a general algorithm for determining the groupings which is not fool proof. Stand-alone ASReml allows you to redefine the groupings. What we would like to know is whether those capabilities exist for the R version, and if not, are there other ways we can set up the model to get the terms in the appropriate grouping. Thanks so much for any suggestions, Sue > W1<-wald.asreml(m1.asreml, ssType="conditional") asreml 3.0 (15 April 2013), Library: 3.0hj (15 November 2011), X86_64 LogLik S2 DF wall cpu -50111.3907 0.0010 51482 09:02:03 15.9 > W1$Wald$p<-round(1-pf(W1$Wald[,2], W1$Wald[,1], 90),3) > W1 $Wald Df F.inc F.con Margin p (Intercept) 1 1772.0000 585100.0 0.000 yr 1 7.6790 9030.0 C 0.007 months 5 9.1350 10790.0 A 0.000 dayc 1 21.9900 19780.0 B 0.000 haschicks 1 38.0200 50740.0 B 0.000 chickagec 1 6.5720 14020.0 B 0.012 bsc 1 191.3000 192600.0 B 0.000 sex 1 0.7405 742.4 A 0.392 winspc 1 45.7700 44840.0 A 0.000 sinwinc 1 3.4120 2586.0 A 0.068 rainc 1 16.4300 15910.0 A 0.000 months:dayc 5 15.2400 14320.0 C 0.000 months:sex 5 5.3200 669.1 B 0.000 haschicks:sex 1 7.7330 8906.0 C 0.007 chickagec:sex 1 0.2351 288.6 C 0.629 bsc:sex 1 1.9470 1726.0 C 0.166 sex:winspc 1 23.1700 19900.0 B 0.000 sex:sinwinc 1 12.4700 5766.0 B 0.001 sex:rainc 1 0.7769 625.3 B 0.380 months:sex:winspc 10 2.7480 2258.0 C 0.005 months:sex:sinwinc 10 2.6850 1834.0 C 0.006 months:sex:rainc 10 1.7060 1706.0 C 0.091 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Sue Lewis NERC fellow Institute of Evolutionary Biology School of Biological Sciences University of Edinburgh Edinburgh, EH9 3JT, UK Email: sue.le...@ed.ac.uk Tel: +44 (0)131 6505444 http://lewis.bio.ed.ac.uk <http://lewis.bio.ed.ac.uk/> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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