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
> ______________________________________________R-help at stat.math.ethz.ch
mailing listhttps://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the
posting guide! http://www.R-project.org/posting-guide.html
>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595