Error Model Is Singular R Aov
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R Anova Error() Model Is Singular
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R Warning Error Model Is Singular
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Warning Message: : Error() Model Is Singular
takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top Problem with ANOVA repeated measures: “Error() model is singular” up vote 1 down vote favorite 2 I need an help because I don´t know if the command for the ANOVA analysis I am performing mixed anova in r in R is correct. Indeed using the function aov I get the following error: In aov (......) Error() model is singular The structure of my table is the following: subject, stimulus, condition, sex, response Example: subject stimulus condition sex response subject1 gravel EXP1 M 59.8060 subject2 gravel EXP1 M 49.9880 subject3 gravel EXP1 M 73.7420 subject4 gravel EXP1 M 45.5190 subject5 gravel EXP1 M 51.6770 subject6 gravel EXP1 M 42.1760 subject7 gravel EXP1 M 56.1110 subject8 gravel EXP1 M 54.9500 subject9 gravel EXP1 M 62.6920 subject10 gravel EXP1 M 50.7270 subject1 gravel EXP2 M 70.9270 subject2 gravel EXP2 M 61.3200 subject3 gravel EXP2 M 70.2930 subject4 gravel EXP2 M 49.9880 subject5 gravel EXP2 M 69.1670 subject6 gravel EXP2 M 62.2700 subject7 gravel EXP2 M 70.9270 subject8 gravel EXP2 M 63.6770 subject9 gravel EXP2 M 72.4400 subject10 gravel EXP2 M 58.8560 subject11 gravel EXP1 F 46.5750 subject12 gravel EXP1 F 58.1520 subject13 gravel EXP1 F 57.4490 subject14 gravel EXP1 F 59.8770 subject15 gravel EXP1 F 55.5480 subject16 gravel EXP1 F 46.2230 subject17 gravel EXP1 F 63.3260 subject18 gravel EXP1 F 60.6860 subject19
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ezanova r ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join two way repeated measures anova r the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a repeated measures anova in r minute: Sign up Repeated-measures / within-subjects ANOVA in R up vote 12 down vote favorite 12 I'm attempting to run a repeated-meaures ANOVA using R. I've gone through various examples on various websites, but they never seem to talk about http://stats.stackexchange.com/questions/11079/problem-with-anova-repeated-measures-error-model-is-singular the error that I'm encountering. I assume I'm misunderstanding something important. The ANOVA I'm trying to run is on some data from an experiment using human participants. It has one DV and three IVs. All of the levels of all of the IVs are run on all participants, making it a three-way repeated-measures / within-subjects ANOVA. The code I'm running in R is as follows: aov.output = aov(DV~ IV1 * IV2 * IV3 + Error(PARTICIPANT_ID / (IV1 * IV2 * IV3)), data=fulldata) http://stackoverflow.com/questions/5694664/repeated-measures-within-subjects-anova-in-r When I run this, I get the following warning: Error() model is singular Any ideas what I might be doing wrong? r anova share|improve this question edited Apr 17 '11 at 17:29 Gavin Simpson 104k13209304 asked Apr 17 '11 at 16:15 vize 121119 1 A quick googling of this error (which is often a good tactic) led me to this page: tolstoy.newcastle.edu.au/R/help/04/10/5215.html The relevant part is here: I think that means the correct error model is Error(Subject/T.norm.Class): my guess is that WasSick is a subject-level observation and so each subject only has one level of it. Certainly that is the model which was fitted. - Professor Brian Ripley. /end quote. I suspect that you have specified an incorrect error distribution, but without more information it is hard to be sure –richiemorrisroe Apr 17 '11 at 16:46 3 looks like your random effects part is far to complex. Singular models often indicate that you've tried to fit a too complex model without sufficient data/observations. –Gavin Simpson Apr 17 '11 at 17:30 4 By the way, this Q is OT for this site - you would be better asking on stats.stackexchange.com –Gavin Simpson Apr 17 '11 at 17:31 @richiemorrisroe hmm, I had googled this, but managed to miss the link you are pointing to. For all participants, the IVs are given at all levels, so it's not the case that each subject has only one level of any of them. For
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variance components Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] Dear Eric Do you really have habitats nested within lagoons or are they partially crossed (meaning that you have the same habitats in different lagoons)? If you have them perfectly nested, I think that you cannot calculate both a fixed effect for habitats and a random effect for lagoon (see the example below, lme and aov). You can compare e.g. two lagoons by defining a contrast of the habitats of one lagoon against the habitats of the other (if you think that this is a meaningful test to interpret), but you cannot estimate a random effect lagoon in presence of a nested FIXED effect habitat. aov() will not return you the test and warn you about the singular model. lme() will estimate a variance component for lagoon, but does not provide you a test for the fixed factor. Regards, Christoph Buser set.seed(1) dat <- data.frame(y = rnorm(100), lagoon = factor(rep(1:4,each = 25)), habitat = factor(rep(1:20, each = 5))) summary(aov(y~habitat + Error(lagoon/habitat), data = dat)) library(nlme) summary(lme(y~habitat, random = ~1|lagoon/habitat, data = dat)) -------------------------------------------------------------- Christoph Buser