If I have the following dataset:
rankdata <- read.table( text = " time id rank 1 a 1 1 b 2 2 a 2 2 b 3 2 c 1 3 a 1 3 b 3 3 c 2 4 a 2 4 c 1 5 a 1 5 c 1 ", header = TRUE)
I am trying to think of the best way to test whether ranks are consistant over time or not.
I obviously work in
R so pointers to doing this there would be best.
time points are not unmeasured data points but ids that were not present at the time of ranking. So number of ranks within a time point may be 1-6 then 1-12 in the next but generally within this range. Also note I expect that there may be ties.
What if I had several data sets by say
island, I would need to incorporate island as a random effect. Each island will consist of completely independent