Amartya: This is probably more of a statistics question than an R question.
I would go with the Tukey HSD, were I you as that is its intention.
Is there anyone in your organization (school, company, etc) that does
statistical consulting? I have had wonderful experience working with the
consulting clinic at the U of MN. If nothing else, buying a stats grad
student some coffee might save you hours of headache in reading and
searching message boards.
Mike.
On Oct 19 2012, Amartya wrote:
Hi,
I was trying to figure out how to do post-hoc tests for Two Way ANOVAs and
found the following 2 approaches:
a. Do pairwise t-tests (bonferroni corrected) if one finds significance
with
the ANOVA.
Link-
http://rtutorialseries.blogspot.com/2011/01/r-tutorial-series-two-way-anova-with.html
b. Do TukeyHSD on an aov model
Link-
http://www.r-bloggers.com/post-hoc-pairwise-comparisons-of-two-way-anova/
Running the data set given in the first example in SPSS gives significant
pairwise difference for Treatment and Age (Treatmen and Age were the
independent variables) , while using the directions given in the first link
didn't give me significant pairwise different for Treatment (only gave for
Age).
I have a few questions:
a. Is the first method completely incorrect as hinted in the second link?
b. What is the right way to do Bonferroni corrected post hoc tests for Two
Way ANOVA in R?
c. Does anyone know how post hoc tests for SPSS work in the case of Two Way
ANOVAs (Univariate analysis)? Especially for Bonferroni corrected tests.
I am new to R, so please let me know if I made a mistake in framing the
question; I will try to elucidate as much as I personally can. Thanks for
your help.
--
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