[R] Repeated Measures ANOVA and Missing Values in the data set
gianni lavaredo
gianni.lavaredo at gmail.com
Fri Jun 19 02:42:08 CEST 2015
I am doing Repeated Measures ANOVA with missing values. When i run my model
i get this error message.
*aov.out = aov(values ~ time + Error(subject/time), data=mydata2)Warning
message:In aov(values ~ time + Error(subject/time), data = mydata2) :
Error() model is singular*
The missing Values are not a error of my instrument. They mean the element
of my analysis is absent and i want to consider this.
thanks in advance
these are my data:
subject <- c(1,2,3,4,5,6,7,8,9,10)
time1 <- c(5040,3637,6384,5309,5420,3549,NA,5140,3890,3910)
time2 <- c(5067, 3668, NA, 6489, NA, 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, NA, 3612, 3604)
mydata <- data.frame(time1, time2, time3, time4, time5, time6)
mydata2 = stack(mydata)
subject = factor(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")
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