Dear list,
I'm quite confused when interpreting results from a mixed linear model.
For example, working on Iris data frame, I want to know the effect of
species on slope of the model "Petal.Length~Sepal.Length"
I write this :
data(iris)
reg01 <- lm(Petal.Length~Sepal.Length + Sepal.Length:Species, data=iris)
summary(reg01)
It gives me a summary table with lm for the first factor, i.e setosa,
and the effects of each levels of Species on interactions, which mean on
the slope.
Now, i would like a model with intercept =0. I should write this:
data(iris)
reg02 <- lm(Petal.Length~Sepal.Length + Sepal.Length:Species - 1 ,
data=iris)
summary(reg02)
...But results is meaningless for me...
Any idea to fit a model like this?
Thanks a lot !
Julien
--
*********************************************
Julien Leblud
Numerical Ecology of Aquatic Systems
Mons University, Belgium
http://econum.umons.ac.be/labo/
..............................<°}))><........
Ecologie Numérique des Milieux Aquatiques
Université de Mons
tel. +32 (0) 65 37 36 65
Pentagone (aile 3D)
6, Avenue du Champ de Mars
7000 Mons, Belgium
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