I think this means an unequal sample in different conditions. But it seems
to mean something else. . .
I have a data set like below
particip group device width length accep thresh rating
d-rating1 RA Dingo nom nom Y 5 8
31 RA Dingo nom long Y 4 6
21 RA Dingo fat nom Y 4 6
21 RA Dingo fat long N 6 4
-2
and I'm running an ANOVA on it like so
aov.AMIDS_d <- aov(d.rating ~ group*device*width*length +
Error(particip/(device*width*length))+group,data.AMIDS_d)
This works ok until I try to print the condition means like so
print(model.tables(aov.AMIDS_d,"means"),digits=3)
and it says
Error in model.tables.aovlist(aov.AMIDS_d, "means") : design is
unbalanced so cannot proceed
According to the design, it ought to be balanced, so I need to check my
data structure. I tried
table(data.AMIDS_d[,2:5])
to give a table of observations per condition and got this
, , width = fat, length = long
devicegroup Dingo SNAR
NR 12 12
NV 12 12
RA 12 12
, , width = nom, length = long
devicegroup Dingo SNAR
NR 12 12
NV 12 12
RA 12 12
, , width = fat, length = nom
devicegroup Dingo SNAR
NR 12 12
NV 12 12
RA 12 12
, , width = nom, length = nom
devicegroup Dingo SNAR
NR 12 12
NV 12 12
RA 12 12
which looks both correct and balanced. So what am I missing, where's this
error coming from?
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