I want to get rid of this thread. what to do?
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I have a generalized linear model to solve. I used package "geepack". When
I use the correlation structure "unstructured", I get a messeage that- R
GUI front-end has stopped working. Why this happens? What is the solution?
The r codes are as follows:
a<-read.table("d:/bmt.txt",header=T")
cutoffs<-c
Hello,
I have the following r-codes for solving a quasilikelihood estimating
equation:
>library(geepack)
>fit<-geese(y~x1+x2+x3,jack=TRUE,id=id,scale.fix=TRUE,data=dat,mean.link =
"logit", corstr="independence")
Now my question is how can I calculate the confidence interval of the
parameters of
Hello,
I have the following r-codes for solving a quasilikelihood estimating
equation:
>library(geepack)
>fit<-geese(y~x1+x2+x3,jack=TRUE,scale.fix=TRUE,data=dat,mean.link =
"logit", corstr="independence")
Now my question is how can I calculate the confidence interval of the
parameters of the ab
SE->0, TRUE->1) when used in
> > arithmetic so you can do, e.g., mean(bL) to see what proportion of
> > your cases satisfy the condition.
> >
> > Bill Dunlap
> > Spotfire, TIBCO Software
> > wdunlap tibco.com
> >
> >
> >> -Or
I have two indicator variables ABS and DEFF. I want to create another
indicator variable which will take value 1 if either ABS=1 or DEFF=1.
Otherwise, it will take value 0. How can I make that?
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R-help@r-pr
Thanks.:)
On Sat, Mar 16, 2013 at 12:51 PM, Heinz Tuechler wrote:
> Dear Terry,
>
> as soon as the vignette is ready, I would be very happy, to know about it.
> Will you send a note to r-help, or will it be announced in some other way?
>
> best regards,
>
> Heinz
>
>
> On 08.03.2013 15:12, Terr
I have a competing risk data where a patient may die from either AIDS or
Cancer. I want to compare the cox model for each of the event of interest
with a competing risk model. In the competing risk model the cumulative
incidence function is used directly. I used the jackknife (pseudovalue) of
the c
I have a competing risk data where two risks: relapse and death can be
considered as responsible for the failure of treatment.
I want to find the cumulative incidence function for each of the risk, at
10 grid points. How can I choose the grid points from the continuous
lifetime variable TIME?
W
Thanx all, I found my answer. I prefer Peter's second solution.
On Tue, Feb 26, 2013 at 11:59 PM, Berend Hasselman wrote:
>
> On 26-02-2013, at 18:45, Tasnuva Tabassum wrote:
>
> > I have a vaiable named NAM having value : 1,2,3,4,5,6,7,8,9. I want to
> > make an in
I have a vaiable named NAM having value : 1,2,3,4,5,6,7,8,9. I want to
make an indicator variable that will take value 1 if NAM=7 or NAM=8 or
NAM=9. How can I do that?
I usually do: Var001<- ifelse(NAM==7,1,0) for the simplest case.
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t;
>> > dat <- read.table(text="
>> >
>> > IDCOMPL SEX HEREDITY
>> > 10 1 2
>> > 10 1 2
>> > 13 1 2
>> > 20 0 1
>> > 21 0 1
>> > 22 0
I have a longitudinal competing risk data of the form:
IDCOMPL SEX HEREDITY
1 0 1 2
1 0 1 2
1 3 1 2
2 0 0 1
2 1 0 1
2 2 0 1
2 2 0 1
3 0 0 1
3 0 0 1
3 0
Hello,
I have a problem regarding calculation of Cumulative Incidence Function.
The event of interest is failure of bone-marrow transplantation, which may
occur due to relapse or death in remission. The data set that I have
consists of- lifetime variable, two indicator variables-one for relapse and
Hi,
I want to write own R functions for cumulative incidence function and also
for the pseudovalue of the cumulative incidence function.
Can you help me?
Tas.
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