On 03 Jun 2015, at 19:14 , Erica Cseko Nolasco ecnola...@gmail.com wrote:
Thanks Jim,
I removed the corresponding cases and tried again. What I discovery now is
if I run the function without paired = T (pairwise.t.test(x =
data$tss,data$pa) is works. However, if I add the paired = T
I tried using TRUE instead T, but it gave me the same error. (Script on the
bottom)
I really want a paired test and it seems to give me as we can see on the
following matrix.
No idea what is happening
pairwise.t.test(x = data$tss,data$pa,p.adjust.method =
'bonferroni',paired=TRUE)
Error in
Just to be on the safe side, what is T? It is recommended to use TRUE in
case you set T to something else. I think this is very unlikely to solve
the problem but it is worth trying.
On 03/06/2015 18:14, Erica Cseko Nolasco wrote:
Thanks Jim,
I removed the corresponding cases and tried again.
On 03 Jun 2015, at 22:05 , Erica Cseko Nolasco ecnola...@gmail.com wrote:
I tried using TRUE instead T, but it gave me the same error. (Script on the
bottom)
I really want a paired test and it seems to give me as we can see on the
following matrix.
No idea what is happening
I get
Thanks Jim,
I removed the corresponding cases and tried again. What I discovery now is
if I run the function without paired = T (pairwise.t.test(x =
data$tss,data$pa) is works. However, if I add the paired = T
(pairwise.t.test(x = data$tss,data$pa,paired = T) is gives me the error ' Error
in
Hi Erica,
The problem may be that you are specifying a grouping factor (mdl) in
which the group sizes are unequal. If one case in group tot is
missing, is it possible to identify the corresponding cases in the
other factor levels and delete them?
Jim
On Tue, Jun 2, 2015 at 11:59 PM, Erica Cseko
Dear listers,
I'm performing a PERMANOVA (adonis{vegan}) to compare the results (ROC,
TSS) of models based on two factors (model, algo). I was not able to find a
pairwise test for adonis, on PRIMER it would be a Tukey test. Though, I
chose to perform a pairwise.t.test what would be quite simple.
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