,2]))
print(x) # Need to be able to stack the x's to produce one matrix
}
Thanks
Anamika
On Wed, Jul 27, 2016 at 2:46 AM, David Winsemius
wrote:
>
> > On Jul 26, 2016, at 8:07 PM, Anamika Chaudhuri
> wrote:
> >
> > I have 100 datasets with 20 rows and 2 columns in
I have 100 datasets with 20 rows and 2 columns in each dataset.
I am looking for help to produce x and y below as 1000 X 20 matrix and then
repeat that across 100 datasets using R
library(MASS)
library(car)
set.seed(1234)
library(mixtools)
library(sp)
I put in the matrix at which I want the density as S. I was wondering what
is W then?
Thanks
Anamika
On Thu, Sep 3, 2015 at 12:28 PM, Duncan Murdoch
wrote:
> On 03/09/2015 9:29 AM, Anamika Chaudhuri wrote:
> > Hi All:
> >
> > I am trying to use the dwish function
Hi All:
I am trying to use the dwish function in the MCMCpack in R
dwish(W, v, S) where
Arguments
W-Positive definite matrix W
v-Degrees of freedom (scalar).
S-Inverse scale matrix
How do I determine W, the positive definite matrix. The matrix provided in
the documentation doesnot help.
Thanks
Hi,
I am trying to create a bivariate ellipse to see if the true values fall
within the 95% confidence ellipse. I am getting subscript out of bounds
error in R with following code. Not sure what is causing it. When I use the
kde2d function with n>=30 I get the error but not for n=25 and below.
Hi All:
I was looking for some help to code the equation of an ellipse in R, given
I have a Bivariate Normal distribution (X,Y) with mean (m1,m2) and
var-covariance matrix (var1,cov12,cov12,var2).
Thanks
Anamika
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__
> write.csv(dat,paste0("file",i,".csv"),row.names=FALSE,quote=FALSE)})
>
>
> A.K.
>
>
>
>
>
> A.K.
>
>
>
>
> On Monday, October 21, 2013 12:24 AM, Anamika Chaudhuri <
> canam...@gmail.com> wrote:
> Hi:
>
> I am looking for
Hi:
I am looking for some help to manipulate data in R. I have two csv files.
datasetY1
V1 "V2" "V3" "V4"
1 4 0 20 17
2 4 0 15 17
3 2 0 13 21
datasetY2
V1 "V2" "V3" "V4"
1 20 52 15 18
2 18 54 14 21
3 18 51 13 21
I want to be able to create separate csv files by taking the corresponding
Hi:
I have a question related to the R Code which calls BUGS. I have run the
model in WinBUGS and it runs fine giving me the expected results. Below is
the automation code used when I had single outcome or univariate data for
Ys. Now I want to use it for multiple outcomes. So the trial.data below
Hi:
Does Ellipse and dataellipse function in R produce the same ellipse? I
wanted to see how the radius for the Ellipse function in R calculated. Also
what is the var-covariance matrix, if any, assumed for the dataellipse
function? Heres an example of the code where I am generating Multivariate
no
Hi All:
I am getting some warnings trying to run the following code and I am not
sure what they mean.
> set.seed(111)
> k<-63
> n<-60
> 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(k,min,max))
> for(i in 1:k)
+ x<-cbind(
Hi All:
I am getting an error (highlighted) from running R2WinBUGS in R.
To be able to replicate the situation heres the code:
.#Set working directory
setwd("H://AChaudhuri/Testing/CSVS")
matrix=NULL
csvs <- paste("MVN", 1:2, ".csv", sep="")
for(i in 1:length(csvs)){
matrix[[i]] <- read.csv(file=
Hi All:
How would you find out the probability that a point lies within an ellipse?
For eg if I was plotting (x,y) for 300 datasets in an 95% ellipsoid region,
how do I calculate how many times out of 300 will my points fall inside the
ellipse?
Heres the code I am using
library(MASS)
seed<-1234
Hi:
I apologize for posting in the R listserv. But I am trying to do the
following in R.
I am trying to construct Bivariate 95% Approximate Confidence interval for
the mean vector p=(p1,p2) similar to what we have in the univariate case.
[image: \hat p \pm z_{1 - \frac{1}{2}\alpha} \sqrt{\frac{1}
Hi:
To test the situation below I am creating 2 datasets
.#Set working directory
setwd("C://Tina/USB_Backup_042213/Testing/CSV")
matrix=NULL
csvs <- paste("MVN", 1:2, ".csv", sep="")
for(i in 1:length(csvs)){
matrix[[i]] <- read.csv(file=csvs[i], header=T)
print(matrix[[i]])
}
So now I have
Hi:
I am trying to generate Beta-Binomial random variables and then
calculate Binomial exact confidence intervals to the rate..I was
wondering if I needed to add a constraint such that x<=n to it, how do
I go about it. The reason is I am getting data where x>n which is
giving a rate>1. Heres my co
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
Hi All:
I am running R2WinBUGS so that I could automate the running of my
Multivariate Logit Normal model on 300 simulated datasets. The problem I
have is I am not able to read in the data correctly and then code it in the
automation part.
*Heres my model:*
model
{
for (j in 1 : Nf)
{
p1[j, 1:
Winsemius wrote:
>
> On May 12, 2013, at 4:44 PM, Anamika Chaudhuri wrote:
>
> > 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 dis
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 headacheAbdominal Distension
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 an
Hi David:
Thanks, I actually realized it was error on my part. I didnt think there
was a problem with R-code, just wanted to get a better understanding of the
function qbeta.
Anamika
On Fri, Mar 9, 2012 at 3:04 PM, David Winsemius wrote:
>
> On Mar 9, 2012, at 2:48 PM, Anamika Chaudhuri
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
>
> Hi All:
>
> I am using R to calculate exact 95% confidence interval using Clopper
> Pearson method. I am using the following code but it seems to get into a
> loop and not get out of it, it goes on forever although I am looping it
> only 10 times across 63 sites with 10 observations per site. I
Hi All:
I had a basic question to ask. I am running R2WinBUGS so that I could
automate the running of my model using 1000 simulated datasets. Below is the
code I am using. The only problem I am having is the bugs output that comes
out shows my parameters as nos with 1 decimal place after. I would
Trevor,
Thanks for your reply.
That doesnot help
Any other suggestions?
Anamika
On Tue, Aug 10, 2010 at 11:58 AM, Trevor Davies 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
>
Hi:
Is there a way we can set up WINBUGS to run 100 simulated datasets on the
same model and output results? Or do we have to call in each dataset at a
time and repeat the process 100 times manually?
Thanks
Anamika
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___
I have been using the following random intercept model with non-informative
prior:
model {
for (i in 1:n.samples) {
vomit[i] ~ dbern(p[i])
logit(p[i]) <- beta0 + alpha[siteid[i]]
}
for (j in 1:n.sites) {
alpha[j]~dnorm(0,tau)
}
beta0 ~ dnorm(0.0,1.0E-6)
tau ~ dgamma(0.01,0.01)
}
list(n.samples=3780
the
> error comes from the BUGS interpreter. Hence wrong mailing list.
>
> Best wishes,
> Uwe Ligges
>
>
>
>
> Anamika Chaudhuri wrote:
>
>> I am using a random intercept model with SITEID as random and NAUSEA as
>>> outcome.
>>>
>>&
Has anyone ever seen an error like this from running WinBUGS in R
'> modelCompile(numChains=2) # compile model with 1 chain
error for node p[3421] of type GraphLogit.Node node vetor contains undefined
elements
[[alternative HTML version deleted]]
__
> 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")
>
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=
1
1 1
1 0
1 1
1 0
1 1
1 1
1 1
1 0
1 0
1 0
1 1
-Anamika
--- On Sun, 12/7/08, jim holtman <[EMAIL PROTECTED]> wrote:
From: jim holtman <[EMAIL PROTECTED]>
Subject: Re: [R] Reading txt file in R
To: [EMAIL PROTECTED]
Cc: [EMAIL PROTECTED]
Date: Sunday, December 7, 2008, 10:27 AM
In your sa
nt? How do
you intend to read them in and use them?
On Sat, Dec 6, 2008 at 10:42 PM, Anamika Chaudhuri <[EMAIL PROTECTED]>
wrote:
>
>
>
>
>
>
>
>
> Hi:
>
> I am using the following code to read a data set in txt in R and using the
follwoing model. But it seem
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
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