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
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
> >
> >
> >
> >
> > -Original Message-
> > From: r-help-bounce! [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On
> > Behalf Of Paul Smith
> >
> > Sent:
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
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
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
"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
> >
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
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
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
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
--- the forwarded message follows ---
--- Begin Message ---
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
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