[R] Random Effects for One-Way Anova

[Giuseppe.Palermo@bo.infn.it]

I'm sorry if I wasn't clear....
There are repeated measures for each level of my factor.
For instance, the dataframe could look like that:

A B
12.0 1
12.3 1
15 1
12.9 2
16.7 2
15.4 2
23.5 3
9.6 3
7.8 3

In order to fit a random effects, is right to apply:
lme(A~1,data=DATA,random=~1|B)    ?

Giuseppe




Quoting giovanni parrinello <parrinel at med.unibs.it>:

> La domanda è poco chiara! Ci sono misure ripetute?
> Senza queste informazioni non so può rispondere..
> Giovanni Parrinello
> ----- Original Message -----
> From: <Giuseppe.Palermo at bo.infn.it>
> To: <r-help at stat.math.ethz.ch>
> Sent: Wednesday, November 30, 2005 11:19 AM
> Subject: [R] Random Effects for One-Way Anova
>
>
>> Hello to All.
>> I'd want to use a one-way ANOVA. This means that I have only one factor,
> with,
>> lets say, 5 levels.
>> I made a dataframe, called "DATA", with two Columns:
>> A, that is my response, and it is "class numerical".
>> B, that defines the different levels of my factor, and it is "class
> factor".
>>
>> If I want to use a fixed effect model,
>> I know that the formula I have to use is:
>> lm.1 <- lm(A~B,data=DATA)
>> anova(lm.1)
>>
>> My questions is:
>> which formula should I use if I want to use a random effects model?
>> I think I should use "lme", but I don't know how.
>>
>> I hope to get a reply
>> Best wishes to all
>> Giuseppe
>>
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