On 02 Feb 2015, at 13:09 , S Ellison wrote:
>
>>> aovsubj <- aov(value~group+time+Error(subject),data=dataRMANOVA)
>>> and
>>> aovsubjgroup <- aov(value~group+time+Error(subject/group),data=dataRMANOVA)
>>>
>> Since no-one else seems to have answered you let me point out that your first
>> for
> > aovsubj <- aov(value~group+time+Error(subject),data=dataRMANOVA)
> > and
> > aovsubjgroup <- aov(value~group+time+Error(subject/group),data=dataRMANOVA)
> >
> Since no-one else seems to have answered you let me point out that your first
> formulation treats subject 1 in the "int" group as bein
On 01/02/15 02:17, John Sorkin wrote:
I am trying to understand the Error function and its use in ANOVA. In
particular I want to understand the difference between two models
that differ only with respect to the Error statement:
aovsubj <- aov(value~group+time+Error(subject),data=dataRMANOVA)
an
I am trying to understand the Error function and its use in ANOVA. In
particular I want to understand the difference between two models that differ
only with respect to the Error statement:
aovsubj<- aov(value~group+time+Error(subject),data=dataRMANOVA)
and
aovsubjgroup<-aov(value~group+tim
Prof Brian Ripley wrote:
See the reference on ?aov, and MASS (the book, see the FAQ).
I think you need to understand the underlying theory first, and that
is no longer (even for my time) part of a statistical education. I
learnt it from Bill Venables who has educated in the 1960s -- so his
a
See the reference on ?aov, and MASS (the book, see the FAQ).
I think you need to understand the underlying theory first, and that is no
longer (even for my time) part of a statistical education. I learnt it
from Bill Venables who has educated in the 1960s -- so his account in MASS
comes with
Hello all,
Does anyone know of any good resources on specifying
anova models in R with aov. I particular, I am
interesting in the details and functioning of the
Error() structure. I could not find anything in the
documentation and help(Error) bounced me into the
aov() help pages.
Thank you.
Br
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