That's about the worst fit possible if you ask me :-)
Check the fitted parameters, very likely indeed that there is your
problem. You'll definitely have to reconsider your method. an lm is
far from optimal on this dataset. Plus, you should use serie as a
random or nesting factor. I'd suggest you lo
I have no error when fitting the model. The summary and anova seems to
be fine :
> summary(lm1)
Call:
lm(formula = Volume ~ temps + Traitement:temps + Série, data = data)
Residuals:
Min 1Q Median 3Q Max
-34.3134 -14.9527 -0.9835 12.9174 49.5546
Coefficients:
Could you then at least give the summary of the lm? It's really
impossible to tell where your problem is without any information about
the fit. It's a strange error, I never had it in this context, and
this kind of errors often indicate that what goes in is wrong. Your
lm() object is not well forme
Hello,
Sorry for the lack of clarity, I thought I was clear about the package :
it's the function allEffects from the package effects.
Here is my example again (unfortunately I can't give the data) :
The data concerns effects of 3 treatments on the tumoral volume of mice.
> head(data)
Please, read the posting guide:
- provide a minimal example
- tell us from which package the function is coming
I guess you used the function allEffects() from the package effects, and did :
eff.lm1 <- allEffect(lm1)
Then I guess that there's something wrong with the variables you put
into the mo
Dear R users,
I have some trouble using the allEffects() function to compute and
display effect plots for a linear model.
My data is quite simple, it concerns effects of 3 treatments on the
tumoral volume of mice. vTum codes for the qualitative initial volume,
from small to big, temps is the time
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