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Hi,
can anyone help me fit betabinomial model to the following dataset where
each iD is a cluster in itself , if i use package aod 's betabinom model it
gives an estimate of zero to phi(the correlation coeficient ) and i
Hi,
can anyone help me fit betabinomial model to the following dataset where
each iD is a cluster in itself , if i use package aod 's betabinom model it
gives an estimate of zero to phi(the correlation coeficient ) and if i fix
it to the anova type estimate obtained from icc( in pa
Hello ,
Can anyone please help me figure out how to do a weighted betabinomial
analysis? I mean i have 700 clusters each of size 2 and the response
(y[i1]+y[i2]) in each cluster case is either 0,1 or 2. I extract a sample of
clusters such that the clusters in which response is 1
I have a problem, would really appreciate if anyone could help me. I am
trying to use bootstrap to resample a dataframe n then use that sample of
dataframe to calcuate parameter estimates using betabinomial model. I am
kind of lost coz the bootstrap function requires us to give stat
Hi,
Can someone tell me how to control sample size (n) in bootstrap function
boot in R. Can we give some option like we give for # of repeated
samples(R=say 100).
Will appreciate any help.
thanks
__
R-help@r-project.org mailing
"Nordlund, Dan (DSHS/RDA)" wrote:
> > -Original Message-
> > From: [EMAIL PROTECTED]
> > [mailto:[EMAIL PROTECTED] On Behalf Of Zaihra T
> > Sent: Wednesday, March 26, 2008 7:57 AM
> > To: Jan T. Kim; R-help@r-project.org
> >
Please chk out the url below it might be of some help for plotting step
function or *look like* of step function.
On Thu, 27 Mar 2008 09:03:58 -0400 wrote:
> Thanks to David and Zaihra for their help.
>
> Besides plotting the difference between 2 ecdfs, I also would like it to
try something like this before wrapping up your function else i guess u'll
have to stick to Prof Brian Ripley suggestion his suggestions are usually
best bet .
f <- function(x) {
n <- length(x)
r <- sum((b^(0:(n-1)))*log(x)) - 200*(sum(x)-k)^2
if(!is.finite(r))
r
i m not sure what u really want to do but if ur looking for some subsample
of dataset then u might wanna try this (say in case u want to resample ur
dataset by column "id" in ur dataset then do
resample<-sample(dataset$id,n,replace=F)
dataset<-dataset[resample, ]
note here n
> >
> >
> >
> >
> > -Original Message-
> > From: r-help-bounce! [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On
> > Behalf Of Paul Smith
> >
> > Sent:
try to use method "L-BFGS-B" and give boudary condition to the parameters in
use so that the algorithm search is limited to a particular region as it
seems u have to many parameters.
On Fri, 4 Apr 2008 22:10:20 -0700 (PDT) kathie wrote:
>
> Dear R users,
>
> I used to "OPT
Dear Dr. Vardhan,
From where can we download this package and its details.
Thanks
HAve a nice day.
On Wed, 23 Apr 2008 16:39:50 -0400 "Ravi Varadhan" wrote:
> Hi,
>
>
>
> We (Paul Gilbert and I) have just released a new R package on CRAN called
> "BB" (stands
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