[R] pairwise.t.test for paired data
francogrex
francogrex at mail.com
Fri Apr 4 17:20:31 CEST 2008
Dear R-help, I have a question about pairwise.t.test and adjustment for
multiple comparisons for paired data points.
I have the following data:
n=c("x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "y", "y",
"y", "y", "y", "y", "y", "y", "y", "y", "z", "z", "z", "z", "z",
"z", "z", "z", "z", "z")
and
d=c(3.38501220258169, 0.732526675324789, -0.638736410843593,
7.87414894080545,
3.6341475242877, -2.80762187242111, 14.1405912463741, -9.29904247482419,
9.8636915453275, 5.43287495347734, 12.2804612051493, 7.83975161028828,
15.2200332220459, 6.72953902619773, 9.11557944514228, 9.79268012944973,
7.6112143261283, 10.3912598689021, 8.04934992955112, 13.3935024789408,
12.1276080143311, 11.2987640203845, 2.05386456839974, 12.8386335687123,
3.84418682233211, 17.4626505871045, 6.5947625121599, -10.6664750811034,
21.3346023277454, 4.99216977422232)
Then I do the tests
> pairwise.t.test(d,n,p.adjust="bonf",paired=F)
Pairwise comparisons using t tests with pooled SD
data: d and n
x y
y 0.092 -
z 0.326 1.000
P value adjustment method: bonferroni
Assuming the data are paired:
> pairwise.t.test(d,n,p.adjust="bonf",paired=T)
Pairwise comparisons using t tests with pooled SD
data: d and n
x y
y 0.092 -
z 0.326 1.000
P value adjustment method: bonferroni
I have no indication that the test is taking into account that the data are
paired! Is it possible to do a pairwise t test with adjustement for multiple
comparisons using pairwise.t.test? If not any other function for that?
Thanks.
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