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R Anova Error() Model Is Singular

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Within Subject Anova R

Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top What can cause a “Error() model is singular error” in aov when fitting a repeated measures ANOVA? up vote 1 down vote favorite 1 I have the following data set: | Scenario 1 | Scenario 2 | |Trial 1|Trial 2| Trial 3|Trial 1|Trial 2| Trial 3| ------------------------------------------------------------------- ezanova r S1 | ... Condition 1 S2 | ... S3 | ------------------------------------------------------------------- S5 | Condition 2 S6 | S7 | Thus the Trials are nested in the Scenarios and all of them are within subject. I am trying to run an ANOVA on this data set. Here is the model without defining that Scenarios (and Trials) are within subject. my_data.aov <- aov(value~Condition*Trial%in%Scenario,data=my_data) #works fine But when I specify that these are within subject: my_data.aov <- aov(value~Condition*Trial%in%Scenario+Error(Player/(Trial%in%Scenario)),data=my_data) I get the following error In aov(value ~ Condition * Trial % in % Scenario + Error(Player/(Trial %in% : Error() model is singular The closest set-up I could find was Split plot in R but there the subjects are nested inside each Trial not in each Condition. EXAMPLE FILE Here is an example file in long format. What about this approach? If I treat each Trial as a sample, then I can collapse across Scenarios by averaging them, so I will have a simpler model, where each Subject's behavior is described per Scenario. And since I need to analyze the relationship of value~Condition*Scenario I can do so by defining the Error like Error(Subject/Scenario). Will this approach invalidate my analysis? r a

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Mixed Anova In R

or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x repeated measures anova in r Dismiss Join the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join them; it two way repeated measures anova r only takes a minute: Sign up Error() model warning message when repeated measures ANOVA in R up vote 0 down vote favorite I'm doing a repeated measures ANOVA test in R. The coding of this test is: > test1 http://stats.stackexchange.com/questions/97165/what-can-cause-a-error-model-is-singular-error-in-aov-when-fitting-a-repeate <- aov(value ~ location + Error(piez/location), data=july29ratio) Both "piez" and "location" are factors. When I run this, I get the following message: Warning message: In aov(value ~ location + Error(piez/location), data = july29ratio) : Error() model is singular The code still seems to work as running a summary of test1 still yields results, but should I be concerned about this message? I just had to redownload R on my laptop, is it possible this message stems from me not re-downloading http://stackoverflow.com/questions/24774107/error-model-warning-message-when-repeated-measures-anova-in-r an R-package? Any insight would be great. r anova share|improve this question asked Jul 16 '14 at 6:55 user3843746 1 It is just telling you your model is singular. It is a computational issue. –user3710546 Jul 16 '14 at 6:58 possible duplicate of Repeated-measures / within-subjects ANOVA in R –user3710546 Jul 16 '14 at 7:25 add a comment| active oldest votes Know someone who can answer? Share a link to this question via email, Google+, Twitter, or Facebook. Your Answer draft saved draft discarded Sign up or log in Sign up using Google Sign up using Facebook Sign up using Email and Password Post as a guest Name Email Post as a guest Name Email discard By posting your answer, you agree to the privacy policy and terms of service. Browse other questions tagged r anova or ask your own question. asked 2 years ago viewed 825 times Blog Stack Overflow Podcast #92 - The Guerilla Guide to Interviewing Linked 12 Repeated-measures / within-subjects ANOVA in R Related 1One-way repeated measures ANOVA with unbalanced data0Error messaging when running anova1Using R for simulation based power analysis of Multi-Factor Within-Subjects Repeated Measures ANOVA0Can't use glht post-hoc with repeated measures ANOVA in R?2Repeated-Measures ANOVA: ezANOVA vs. aov vs. lme syntax1Repeated measures ANOVA - different resutls for SPSS versus R0Model specification for nested repeated measures ANOVA in R0R: How to model split-plot/repeated measures hybrid experiment for T

this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Mixed Design ANOVA - singular error model Dear r-help list, I http://r.789695.n4.nabble.com/Mixed-Design-ANOVA-singular-error-model-td2999893.html would like to run a mixed design anova to compare the results from one population sample to another. Here my within subject variable (stiulusID) has 45 levels and my between subject http://grokbase.com/t/r/r-help/115ny9k6sw/r-problem-with-anova-repeated-measures-error-model-is-singular variable (group) has two levels. In addition to my number of levels in the within subject variable being very large, one other 'feature' of my data is that it is not balanced model is on the between subject variable. I have attached a copy of my data for reference. To run the ANOVA, I did this: summary(aov(Result ~ StimulusID * Group + Error(ParticipantToken/(StimulusID + Group)), data = data)) My results were roughly as I had expected, but at the end of the output I have the warning that the model is singular. I have seen this warning model is singular listed in other help requests, but from what I saw there this meant that one of my variables was redundant as it was a nesting of the other. I don't think this is the case in my data. Can I trust the results of a Mixed Design ANOVA with the warning? Or indeed with the unbalanced between subject variable? Many thanks for any help for a stats novice. Error: ParticipantToken Df Sum Sq Mean Sq F value Pr(>F) Group 1 0.69 0.6934 0.0437 0.8356 Residuals 39 619.47 15.8840 Error: ParticipantToken:StimulusID Df Sum Sq Mean Sq F value Pr(>F) StimulusID 44 4607.4 104.713 60.3868 < 2.2e-16 *** StimulusID:Group 44 170.3 3.870 2.2317 8.106e-06 *** Residuals 1716 2975.6 1.734 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Warning message: In aov(Result ~ StimulusID * Group + Error(ParticipantToken/(StimulusID + : Error() model is singular ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posti

I don´t know if the command for the ANOVA analysis I amperforming 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, responseExample:subject stimulus condition sex responsesubject1 gravel EXP1 M 59.8060subject2 gravel EXP1 M 49.9880subject3 gravel EXP1 M 73.7420subject4 gravel EXP1 M 45.5190subject5 gravel EXP1 M 51.6770subject6 gravel EXP1 M 42.1760subject7 gravel EXP1 M 56.1110subject8 gravel EXP1 M 54.9500subject9 gravel EXP1 M 62.6920subject10 gravel EXP1 M 50.7270subject1 gravel EXP2 M 70.9270subject2 gravel EXP2 M 61.3200subject3 gravel EXP2 M 70.2930subject4 gravel EXP2 M 49.9880subject5 gravel EXP2 M 69.1670subject6 gravel EXP2 M 62.2700subject7 gravel EXP2 M 70.9270subject8 gravel EXP2 M 63.6770subject9 gravel EXP2 M 72.4400subject10 gravel EXP2 M 58.8560subject11 gravel EXP1 F 46.5750subject12 gravel EXP1 F 58.1520subject13 gravel EXP1 F 57.4490subject14 gravel EXP1 F 59.8770subject15 gravel EXP1 F 55.5480subject16 gravel EXP1 F 46.2230subject17 gravel EXP1 F 63.3260subject18 gravel EXP1 F 60.6860subject19 gravel EXP1 F 59.4900subject20 gravel EXP1 F 52.6630subject11 gravel EXP2 F 55.7240subject12 gravel EXP2 F 66.4220subject13 gravel EXP2 F 65.9300subject14 gravel EXP2 F 61.8120subject15 gravel EXP2 F 62.5160subject16 gravel EXP2 F 65.5780subject17 gravel EXP2 F 59.5600subject18 gravel EXP2 F 63.8180subject19 gravel EXP2 F 61.4250....................As you can notice each subject repeated the evaluation in 2 conditions (EXP1 and EXP2).What I am interested in is to know if there are significant differences betweenthe evaluations of the males and the females.This is the command I used to perform the ANOVA with repeated measures:aov1 = aov(response ~ stimulus*sex + Error(subject/(stimulus*sex)), data=scrd)summary(aov1)I get the following error:aov1 = aov(response ~ stimulus*sex + Error(subject/(stimulus*sex)), data=scrd)Warning message:In aov(response ~ stimulus * sex + Error(subject/(stimulus * sex)), :Error() model is singularsummary(aov1)Error: subjectDf Sum Sq Mean Sq F value Pr(>F)sex 1 166.71 166.72 1.273 0.274Residuals 18 2357.29 130.96Error: subject:stimulusDf Sum Sq Mean Sq F value Pr(>F)stimulus 6 7547.9 1257.98 35.9633 <2e-16 ***stimulus:sex 6 94.2 15.70 0.4487 0.8445Residuals 108 3777.8 34.98---Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Error: WithinDf Sum Sq Mean Sq F value Pr(>F)Residuals 420 9620.6 22.906 >The thing is that looking at the data it is evident for me that there is adifference between male

 

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