Did you read the TukeyHSD help page? You chose to have one factor, so you
cannot blame R for your own choice.
Do be very careful that you understand what these so-called post hoc
tests do (and also what the main effect of a factor in the presence of an
interaction means, for in R it is not the same as in SPSS).
[It really isn't fair to send UTF-8 mail, and the formatting has gone
wrong en route to me (if it was ever right). Plain text and wrapped lines
please.]
On Sun, 15 Jan 2006, Andrej Kastrin wrote:
Dear useRs,
I'm working on multiple comparison design on two factor (2 × 3 levels) ANOVA.
Each of the tests I have tried (Tukey, multcomp package) seem to do only with
one factor at a time.
fm1 <- aov(breaks ~ wool * tension, data = warpbreaks)tHSD <- TukeyHSD(fm1,
"tension", ordered = FALSE)
$tension diff lwr upr p adjM-L -10.000000 -19.35342
-0.6465793 0.0336262H-L -14.722222 -24.07564 -5.3688015 0.0011218H-M -4.722222
-14.07564 4.6311985 0.4474210
I'm interested in posthoc comparisons between various levels of factor 1 and
various levels of factor 2, both at the same time.I know that is possible in
SPSS, but... is there any R solution?
Cheers, Andrej
[EMAIL PROTECTED] mailing
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--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
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