r - ANOVA with repeated measures factors: Error using model.table -

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i following example in webpage single factor designs repeated measures. end wish compute grand mean using model.tables. everytime error message:

model.tables(aov.out,"means") error in fun(x[[1l]], ...) :    eff.aovlist: non-orthogonal contrasts give incorrect answer

these data:

    subject<- c(1,2,3,4,5,6,7,8,9,10)     time1 <- c(5040,3637,6384,5309,5420,3549,2385,5140,3890,3910)     time2 <- c(5067, 3668, 6689, 6489, 5246, 3922, 3408, 6613, 4063, 3937)     time3 <- c( 3278, 3814, 8745, 4760, 4911, 5716, 5547, 5844, 4914, 4390)     time4 <- c(   0, 2971,    0, 2776, 2128, 1208, 2935, 2739, 3054, 3363)     time5 <- c(4161, 3483, 6728, 5008, 5562, 4380, 4006, 7536, 3805, 3923)     time6 <- c( 3604, 3411, 2523, 3264, 3578, 2941, 2939,   47, 3612, 3604)     mydata <- data.frame(time1, time2, time3, time4, time5, time6)     mydata2 = stack(mydata)     subject = rep(subject,6)     mydata2[3] = subject     colnames(mydata2) = c("values", "time", "subject")      aov.out = aov(values ~ time + error(subject/time), data=mydata2)     summary(aov.out)     model.tables(aov.out,"means")

you should treating "subject" categorical variable rather numeric. can make clear r using

subject = factor(rep(subject,6))

in above example.


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