Dear R gurus,
I have the following model:
appcov.aov <- aov(yield ~ prevyield + trt + block)
where prevyield is a continuous numeric covariate and trt and block are
factors (yes, I did factor()!)
Now, when I do a TukeyHSD, my diff's are all screwed up!
For instance:
treatment mean for treatmen "E"
Here's what I get:
> summary(lm(yield ~ prevyield + trt + block))
Call:
lm(formula = yield ~ prevyield + trt + block)
Residuals:
Min 1Q Median 3Q Max
-22.616 -9.254 2.051 10.687 19.421
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 38.5797
Damián Cirelli <[EMAIL PROTECTED]> writes:
> Dear R gurus,
> I have the following model:
>
> appcov.aov <- aov(yield ~ prevyield + trt + block)
>
> where prevyield is a continuous numeric covariate and trt and block
> are factors (yes, I did factor()!)
> Now, when I do a TukeyHSD, my diff's are
I have interactions where I shouldn't so nevermind, I'm a dumb ass.
Thanks again
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