With the totally non-committal P-value for Group 2 vs Group 3,
and the absolutely decisive P-value for Group 1 vs Groups 23,
there is no need whatever to bother with multiple comparison
complications.
Note that you can test this as the formal comparison between three
nested multinomial
zhijie zhang a écrit :
Dear Noel,
Your answers should be what i'm looking for.
Could u please show me the corresponding programs and the paper/book
for the theories?
I usually fit these models as conditional Poisson loglinear models, so
the glm() function may be used. On the equivalence
Dear Uwe Ligges,
better
good
bad
Goup1
16
71
37
Group2
0
4
61
Group3
1
6
57
My hypothesis is if the three groups,that is group1, group2,and group3,
have the same distributions on coloumns? If not, which one is difference
from which one?
On 7/20/07, Uwe Ligges [EMAIL
zhijie zhang wrote:
Dear friends,
My R*C table is as follow:
better
good
bad
Goup1
16
71
37
Group2
0
4
61
Group3
1
6
57
Can I test if there are statistical significant between Group1 and
Group2, Group2 and Group3, Group1 and Group2,
Dear friends,
My R*C table is as follow:
better
good
bad
Goup1
16
71
37
Group2
0
4
61
Group3
1
6
57
Can I test if there are statistical significant between Group1 and
Group2, Group2 and Group3, Group1 and Group2, taking into the multiple
comparisons?
The table can be set
