Hey all,
I hope somebody can help me out to make sense of the following:
Example #1 and #2 draw upon the same data set and same partition, just that
the blocks are in reverse order.
#1 > L.sym.nh.int5.pairwise
A B C D E
A 0.000 0.782 0.688 0.756 0.791
B 0.782 0.000 0.750 0.879 0.679
C 0.688 0.750 0.000 0.723 0.815
D 0.756 0.879 0.723 0.000 0.632
E 0.791 0.679 0.815 0.632 0.000
#2 > L.sym.nh.int5.pairwise
E D C B A
E 0.000 0.632 0.815 0.679 0.791
D 0.632 0.000 0.723 0.879 0.756
C 0.815 0.723 0.000 0.750 0.688
B 0.679 0.879 0.750 0.000 0.782
A 0.791 0.756 0.688 0.782 0.000
both obtain an overall r-PLS: 0.750 (p= 0.001), and as you can see in the
tables the individual pairs obtain the exact same r-pls (as expected).
the odd thing is that their effect size differ: example #1 returns an
effect size of 2.6798 whilst #2 has a effect size of 4.640.
any ideas what may be causing this? what can I do to find out what creates
this difference in effect size, and which one I can report along the r-pls
values?
K.
PS. I also computed the pls and effect for each individual pair with
two.block: I yet again obtain the same r-pls values as in tables above (as
expected) and when I average the effects of the pairs as obtained with the
compare function I arrive at 5.626 ...
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