Anova Error Model Is Singular

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R Anova Error() Model Is Singular

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R Warning Error Model Is Singular

Ask Question _ Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Join them; it only takes a mixed anova in r 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 in R is ezanova r 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 gravel EXP1 F 59.4900 subject20 gravel EXP

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Repeated Measures Anova In R

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Nested Anova In R

Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each http://stats.stackexchange.com/questions/11079/problem-with-anova-repeated-measures-error-model-is-singular other. Join them; it 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 <- aov(value ~ location + Error(piez/location), data=july29ratio) Both "piez" and "location" are factors. When I run http://stackoverflow.com/questions/24774107/error-model-warning-message-when-repeated-measures-anova-in-r 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 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 P

this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Mixed Design ANOVA - singular error model Dear r-help list, I would like to run http://r.789695.n4.nabble.com/Mixed-Design-ANOVA-singular-error-model-td2999893.html a mixed design anova to compare the results from one population sample to http://r.789695.n4.nabble.com/Error-model-is-singular-what-does-that-mean-td4635103.html another. Here my within subject variable (stiulusID) has 45 levels and my between subject 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 on the between subject variable. I have attached model is 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 listed in other help requests, but from what I saw there this model is singular 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 posting guide http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code. « Return to R help | 1 view|%1 views Loading... Free forum by Nabble Edit

this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Error() model is singular - what does that mean Hello I have some test data that looks like that from a within subject experiment. Subject Task-Kind Data-Kind Time-Taken Correct 1 A Data1 5 1 1 A Data1 3 0 1 A Data1 1 1 1 A Data2 8 1 1 A Data2 7 0 1 A Data2 5 0 1 A Data3 2 1 1 A Data3 7 0 1 A Data3 5 0 1 A Data3 6 0 1 B Data1 3 1 1 B Data1 1 1 1 B Data1 3 0 1 B Data2 9 0 1 B Data2 8 1 1 B Data2 5 0 1 B Data3 2 1 1 B Data3 7 2 1 B Data3 5 3 1 B Data3 6 0 1 C Data1 3 1 1 C Data1 1 1 1 C Data1 3 0 1 C Data2 9 0 1 C Data2 8 1 1 C Data2 5 0 1 C Data3 2 1 1 C Data3 7 2 1 C Data3 5 3 1 C Data3 6 0 2 A Data1 5 1 2 A Data1 3 0 2 A Data1 1 1 2 A Data2 8 1 2 A Data2 7 0 2 A Data2 5 0 2 A Data3 2 1 2 A Data3 7 0 2 A Data3 5 0 2 A Data3 6 0 2 B Data1 3 1 2 B Data1 1 1 2 B Data1 3 0 2 B Data2 9 0 2 B Data2 8 1 2 B Data2 5 0 2 B Data3 2 1 2 B Data3 7 2 2 B Data3 5 3 2 B Data3 6 0 2 C Data1 3 1 2 C Data1 1 1 2 C Data1 3 0 2 C Data2 9 0 2 C Data2 8 1 2 C Data2 5 0 2 C Data3 2 1 2 C Data3 7 2 2 C Data3 5 3 2 C Data3 6 0 . . . some notes: there are 20 subjects there are 5 different kinds of tasks There are 5 different kinds of data and there are several different variations for a certain kind of task and kind of data which is why for Subject = 1 Task-Kind=A and Data-Kind=Data1 we have 3 different results. The measured parameters are time to complete the task and whether it was correct or not (0 implies correct and 1 implies not correct) I am computing the anova as follows: aov.ex = aov(Correct~Task-Kind*Data-Kind+Error(Subject/(Task-Kind*Data-Kind)),data=allDataRaw.xp) since I want to see how the result is affected by the different kinds of data as well as the the kind of task and I get a warning message saying: