Interpreting contrasts for a two-way interaction in the presence of a
significant
three-way interaction is dangerous. They might not be interpretable.
I would start by examining the interaction2wt plot (in the HH package)
interaction2wt(activity ~ pH + I + f, data=yourdataframe)
Look at the vul
On 2012-04-05 10:49, Richard M. Heiberger wrote:
Here is your example. The table you displayed in gigawiz ignored the
two-way factor structure
and interpreted the data as a single factor with 6 levels. I created
the interaction of
a and b to get that behavior.
## your example, with data stored
nal Message-
From: r-help-boun...@r-project.org on behalf of Richard M. Heiberger
Sent: Wed 4/4/2012 9:49 PM
To: Jinsong Zhao
Cc: r-help@R-project.org
Subject: Re: [R] Fisher's LSD multiple comparisons in a two-way ANOVA
Here is your example. The table you displayed in gigawiz ignored the
two-way
Here is your example. The table you displayed in gigawiz ignored the
two-way factor structure
and interpreted the data as a single factor with 6 levels. I created the
interaction of
a and b to get that behavior.
## your example, with data stored in a data.frame
tmp <- data.frame(x=c(76, 84, 78,
On 2012-04-03 20:03, Rmh wrote:
yes. See ?glht in the multcomp package, and the examples using glht in ?MMC in
the HH package.
Sent from my iPhone
Thank you very much for the clues. However, I can't figure out how to
construct the linfct in glht.
I also tried to inverse the computation b
yes. See ?glht in the multcomp package, and the examples using glht in ?MMC in
the HH package.
Sent from my iPhone
On Apr 3, 2012, at 6:16, Jinsong Zhao wrote:
> Hi there,
>
> Is there a function that can do a Fisher's LSD multiple comparisons in a
> two-way ANOVA? I hope to get a result si
Hi there,
Is there a function that can do a Fisher's LSD multiple comparisons in a
two-way ANOVA? I hope to get a result similar with TukeyHSD().
Especially, I hope to know the significance of comparisons between the
interactions of two factors.
In the following example:
x <- c(76, 84, 78,
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