Displaying 20 results from an estimated 900 matches similar to: "Specify decimal places for parameters in BUGS output"
2010 Aug 10
0
[BUGS] [R-BUGS] error while plotting
Trevor,
Thanks for your reply.
That doesnot help
Any other suggestions?
Anamika
On Tue, Aug 10, 2010 at 11:58 AM, Trevor Davies <tdavies@mathstat.dal.ca>wrote:
> I think you need to load is R2WinBUGS again.
>
> require(R2WinBUGS)
>
> Trevor
>
> > Hi All:
> >
> > I am getting an error while trying to plot in R2Winbugs
> >
> > *Error in
2008 Dec 09
1
expected variable name error pos 98349 WInBUGS in R
> I am using a random intercept model with SITEID as random and NAUSEA as
> outcome.
>
> I tried using a dataset without missing values and changed my model
> statement accordingly but still get the same error. Follwoing in an excerpt.
> > anal.data <- read.table("nausea.txt", header=T, sep="\t")
> > list(names(anal.data))
> [[1]]
> [1]
2008 Dec 07
1
Reading txt file in R
Hi:
I am using the following code to read a data set in txt in R and using the follwoing model. But it seems to give me an error ' expected variable name error pos 134022'. Any help is greatly appreciated.
Code:
anal.data <- read.table("nausea.txt", header=T, sep="\t")
list(names(anal.data))
attach(anal.data)
n.samples <- dim(anal.data) [1] # number of data
2008 Dec 08
1
Reading txt file in R to run Random Intercept Model
I am using a random intercept model with SITEID as random and NAUSEA as
outcome.
Thanks.
Anamika
I tried using a dataset without missing values and changed my model
statement accordingly but still get the same error. Follwoing in an excerpt.
> anal.data <- read.table("nausea.txt", header=T, sep="\t")
> list(names(anal.data))
[[1]]
[1] "SITEID"
2012 Jul 28
2
Beta-Binomial Regression in R
Hi All:
I am trying to generate Beta-Binomial data with regressors using R. I have
used the following code to generate Beta-Binomial data. Now I want to add
a covariate to the equation. I would then like to use the simulated data to
run the Beta-Binomial model with covariates on it. Appreciate any help.
set.seed(111)
k<-20
n<-60
x<-NULL
p<-rbeta(k,3,3)# so that the mean nausea rate
2013 May 12
1
Multinomial-Dirichlet using R
Hi:
I have asked this question on Cross-Validated. So it might be a cross
posting but havent received any responses to it.
I am trying to see which distribution will best fit the data I am working
on. The dataset is as following:
Site Nausea headache Abdominal Distension
1 17 5 10
2 12
2012 Mar 09
2
qbeta function in R
HI All:
Does anyone know the code behind the qbeta function in R?
I am using it to calculate exact confidence intervals and I am getting
'NaN' at places I shouldnt be. Heres the simple code I am using:
k<-3
> x<-NULL
> p<-rbeta(k,3,3)# so that the mean nausea rate is alpha/(alpha+beta)
> min<-10
> max<-60
> n<-as.integer(runif(3,min,max))
> for(i in
2013 Jun 24
0
Running MCMC using R2WinBUGS
Hi All:
Not sure why my previous question never got posted. Here I am seeking some
help on my code. I am using the following code to run MCMC simulation on
the following data using the model below:
# Data
matrix<-NULL
> csvs<-paste("MVN", 1:2,".csv",sep="")
> for (i in 1:length(csvs)){
+ matrix[[i]]<- read.csv(file=csvs[i],header=TRUE)
+
2007 Jul 26
2
error in using R2WinBUGS on Ubuntu 6.10 Linux
I am trying to run WinBUGS 1.4 from the Ubuntu 6.10 Linux distribution. I am using the R2WinBUGS packages with the source file listed below. WinBUGS appears to run properly, but I get the following message after WinBUGS starts in WINE. Does anyone know what may be causing this error and what the correction may be?
Thanks
ERROR MESSAGE:
fixme:ole:GetHGlobalFromILockBytes cbSize is 13824
2013 Feb 04
2
reshape help
Dear R users -
I have a list of patient identifiers and diagnoses from inpatient
admissions. I would like to reorganize the list, presently in a long
format to a wide format in reshape, but in the absence of a "time" element,
I am uncertain how to do this - any help greatly appreciated.
ID Dx
A nausea
A diabetes
A kidney failure
A heart attack
A fever
B fever
B
2008 Aug 18
1
ARMA(0,2) & GARCH(1,1) - code & hessian
Hello R-list-members,
I'm trying to model ARMA(0,2) & GARCH(1,1) process using the code below, but according to my textbook, the estimated parameters are wrong. The MA-parameters should be negative. (I've got the same problem using garchFit()). Can anyone tell me what I'm doing wrong? And how can I calculate the hessian matrix?
Many thanks,
Desislava Kavrakova
Code:
2011 May 04
1
hurdle, simulated power
Hi all--
We are planning an intervention study for adolescent alcohol use, and I
am planning to use simulations based on a hurdle model (using the
hurdle() function in package pscl) for sample size estimation.
The simulation code and power code are below -- note that at the moment
the "power" code is just returning the coefficients, as something isn't
working quite right.
The
2010 Feb 16
1
Build failure on Solaris 10 (SPARC)
I'm trying to build R 2.10.1 on a Sun Blade 1000 running Solaris 10 (03/05
release). I've installed iconv 1.13.1 and used:
CPPFLAGS="-I /export/home/drkirkby/sage-4.3.3.alpha0/local/include"
(which is where iconv is)
LDFLAGS=
-R/export/home/drkirkby/sage-4.3.3.alpha0/local/lib
-L/export/home/drkirkby/sage-4.3.3.alpha0/local/lib
The build of R fails as below.
gcc
2008 Sep 12
1
Error in solve.default(Hessian) : system is computationally singular
Hello everyone,
I'm trying to estimate the parameters of the returns series attached using the GARCH code below, but I get the following error message:
Error in solve.default(Hessian) :
system is computationally singular: reciprocal condition number = 0
Error in diag(solve(Hessian)) :
error in evaluating the argument 'x' in selecting a method for function 'diag'
Can
2008 Dec 19
1
obtaining output from an evaluated expression
Hi
I am trying to use the deriv and eval functions to obtain the value of a
function , say "xi-(alpha0+alpha1*gi)" , differentiated with respect to
alpha0 and alpha1, in the following way
# for gi = 0
> dU1dtheta <- deriv(~ xi-(alpha0+alpha1*gi), c("alpha0","alpha1"))
> eval(dU1dtheta)
(Intercept)
-0.2547153
attr(,"gradient")
2007 May 03
1
Bayesian logistic regression with a beta prior (MCMClogit)
Dear all,
I am trying to use the logistic regression with MCMClogit (package:
MCMCpack/Coda) and I want to put a beta prior on the parameters, but it's
giving me error message (please see output below) no matter what shape 1 or
2 I use. It works perfect with the cauchy or normal priors. Do you know if
there is a catch there somewhere? Thanks
logpriorfun <- function(beta,shape1,shape2){
2011 Aug 11
1
R crashes when communicating with JAGS
There is a thread on this topic already:
http://finzi.psych.upenn.edu/Rhelp10/2010-August/250934.html
I'm rather mystified by a similar problem and wondering whether I've
overlooked something obvious. I'm running with latest versions of R and
all packages, and latest version of JAGS running under Windows 7.
Here's the problem. I have some source code. It's given below -
2016 Oct 17
2
Massive LMTP Problems with dovecot
* Ralf Hildebrandt <Ralf.Hildebrandt at charite.de>:
> > It seems to loop in sha1_loop & hash_format_loop
>
> The problem occurs in both 2.3 and 2.2 (I just updated to 2.3 to check).
I'm seeing the first occurence of that problem on the 10th of october!
I was using (prior to the 10th) : 2.3.0~alpha0-1~auto+371
On the 10th I upgraded (16:04) to:
2004 May 06
5
Orthogonal Polynomial Regression Parameter Estimation
Dear all,
Can any one tell me how can i perform Orthogonal
Polynomial Regression parameter estimation in R?
--------------------------------------------
Here is an "Orthogonal Polynomial" Regression problem
collected from Draper, Smith(1981), page 269. Note
that only value of alpha0 (intercept term) and signs
of each estimate match with the result obtained from
coef(orth.fit). What
2018 Jan 19
1
Fatal: nfs flush requires mail_fsync=always
Hiya all,
I'm seeing this "Fatal: nfs flush requires mail_fsync=always" error on
my testbed. The issue is that from what I can see, mail_fsync is set
to always :
# doveconf -n | grep mail_fs
mail_fsync = always
The result is that the client does not connect at all, which is not
really what I wanted to happen :)
Any idea what is going wrong here?
Best regards
S?ren P. Skou