Also, try googling for - R model is singular - , there seem to have been a lot of people with that particular error.
On 02.07.2012, at 14:56, Jessica Streicher wrote: > Just looking at it i would try renaming Task-Kind, Data-Kind an Time-Taken > Those are ambiguous in the Formula. > > "Task-Kind" vs "Task" - "Kind" > > Though that might not be the error at hand :) > > > On 02.07.2012, at 14:15, zetwal wrote: > >> 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: >> Error() model is singular >> >> I would be very grateful if someone could please tell me what does this >> mean. >> Thanks >> Pascal >> >> -- >> View this message in context: >> http://r.789695.n4.nabble.com/Error-model-is-singular-what-does-that-mean-tp4635103.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
