Howdo folks,
So I have my data (attached). There are two columns I'm interested in;
"algname" and "dur". I'd like to know how dur changes with algname.
algname is nominal and there are 7 possibilities. There are two more
nominal independents, "task" and "id", so my model is:
dur ~ algname+task+id
From the research I've done, a TukeyHSD seems to be what I need, so I do:
TukeyHSD(aov(dur ~ algname+task+id, cstats), ordered=T)
But I get this back:
Error in rep.int(n, length(means)) : unimplemented type 'NULL' in 'rep'
In addition: Warning messages:
1: non-factors ignored: task in: replications(paste("~", xx), data = mf)
2: non-factors ignored: id in: replications(paste("~", xx), data = mf)
Can anyone shed any light on the situation?
Gav
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