Frank Mattes wrote:
Dear R help-list reader,
I'm trying to investigate my data with linear mixed model and are
seeking advise how to write the model in R. I was trying to get hold of
the recommended book from Bates et al, but neither the major bookshop
nor our university library had the book.
Thank you for your email. I appreciate you taking the time to keep me informed of
your opinions and the issues that are important to you. Your comments help keep me
informed as we strive to make California a better place in which to work and live.
Your email has been directed to members of my
Jason Turner [EMAIL PROTECTED] writes:
As for the book, Bates Pinheiro, I'm working my way slowly through
Actually, it's Pinheiro Bates.
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Deall all,
I'm just learning R, but unfortunately I need to
urgently do a rather more complex task so I need some
help. I have just learnt the very basics a few days
ago and am not ready yet to deal with panels and
kernel densities, so a soft guidance would be most
appreciated.
I have a (very)
See the attached file for details
Illegal command!
No valid commands processed.
Ignoring part of type application/octet-stream.
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On Saturday 23 August 2003 10:36, Eugene Salinas wrote:
Deall all,
I'm just learning R, but unfortunately I need to
urgently do a rather more complex task so I need some
help. I have just learnt the very basics a few days
ago and am not ready yet to deal with panels and
kernel densities, so
Peter Dalgaard BSA wrote:
[EMAIL PROTECTED] writes:
I tried to use substitute in legend as follows:
pval - 0.04
plot(0)
legend(1,0.5,substitute(hat(theta) == p, list(p = pval)))
For some reason the legend is repeated 3 times.
Any suggestions or is this a bug?
It's a bug. The code is
--- Deepayan Sarkar [EMAIL PROTECTED] wrote:
[...]
As a first step, you could create a matrix (with 50
rows, one for each time
point) where each row holds the kernel density
estimate for that time point.
e.g. (with a grid of size 100 for each estimated
density),
foo - matrix(0, 50,
On Saturday 23 August 2003 13:02, Eugene Salinas wrote:
[...]
Hi, Thanks a lot. This seems like what I want to do. I
don't know all the syntax yet so just a
clarification...
Is the []n = 100)$y there in order to condition
on y which is the year and derive the conditional
kernel
As a possible enhancement, I would think about using the same bandwidth at
all the time points --- indeed I would probably start by looking at a few
time points, playing with the bandwidth and then using e.g. persp on
density estimates at all 50 time points with that bandwidth.
As a first
On 23-Aug-03 Douglas G. Scofield wrote:
What's the best way in R to fill a matrix who's entries depend on some
function of the indices? I'm currently doing:
Q - matrix(0, k, k)
for (A in 1:k) {
for (B in 1:k) {
Q[A,B] - my.function(A,B)
}
}
but I wonder
I don't understand the coefficients returned from the lm function. I
expected these to be the mean values for each factor in the model. Given
this data and model:
data-c(rnorm(10,mean=0,sd=1),rnorm(10,mean=1,sd=1),rnorm(10,mean=-.5,sd=1))
ftr-as.factor(rep(1:3,each=10))
fit-lm(data ~ ftr)
the
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