> I would like to apply a nested ANOVA on my dataset, but I cannot find a
> satisfying answer on how to implement it in R.
The simplest formula for a two-level nested design is resp~fac1/fac2
All of the models you list are equivalent to this after allowing for the fact
that R drops duplicated mo
Dear useRs,
I would like to apply a nested ANOVA on my dataset, but I cannot find a
satisfying answer on how to implement it in R.
For example, fac2 is nested within fac1:
df <- data.frame(resp=rnorm(12), fac1=rep(LETTERS[1:2],each=6),
fac2=rep(letters[1:6],each=2))
I have found three differ
> Date: Sat, 28 May 2011 09:33:03 -0700
> From: jwiley.ps...@gmail.com
> To: bjorn.robr...@gmail.com
> CC: r-help@r-project.org
> Subject: Re: [R] Nested design
>
> Hi,
>
> If you are not asking for stats help, then
Hi,
If you are not asking for stats help, then do you understand the model
and are just confused by how R labels it? We can help match R's
labels to the ones you are used to, if you tell us what you are used
to.
Cheers,
Josh
On Sat, May 28, 2011 at 6:54 AM, unpeatable wrote:
> Dear Dennis,
>
Dear Dennis,
In my opinion I am not at all asking for any stats help, just a question how
to read this output.
Thanks, Bjorn
-
Dr. Bjorn JM Robroek
Ecology and Biodiversity Group
Institute of Environmental Biology, Utrecht University
Padualaan 8, 3584 CH Utrecht, The Netherlands
Email address
Hi:
Essentially, you are asking for free statistical advice, which is not
within the intended scope of R-help. It's always better to consult
with someone locally, and as luck would have it, your university
apparently provides free statistical consulting for faculty and grad
students:
http://www.u
Dear R-users,
I have the following problem. I have performed an experiment for which I
gathered a lot of data which I now want to test. The problem is that I
cannot find an appropriate test in R (I am a starter) and someone might give
me a hand. This is what I have done:
Across three sites (Site)
This is a nested design where team is nested in group. Method is fixed, while
team and group are random. Is this the correct R code for this?
gunload.aov <- aov(rounds ~ method+group + Error((team %in%
group)/method),data=gunload, qr=T)
--
View this message in context:
http://n4.nabble.com/nest
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