hie..
how can i write a loop that makes algorithm keeps repeating until a solution
is converged?do i use a for loop? i know that we can use for loop to ask for
a number of repetitions, but how to use it to ask the algorithm to keep
repeating until a solution is converged?
Thanks
--
View this mess
On 19-Apr-07 12:00:17, rach.s wrote:
>
> hie..
> how can i write a loop that makes algorithm keeps repeating
> until a solution is converged?do i use a for loop? i know
> that we can use for loop to ask for a number of repetitions,
> but how to use it to ask the algorithm to keep repeating
> until
8:00 AM
> To: r-help@stat.math.ethz.ch
> Subject: [R] convergence
>
>
> hie..
> how can i write a loop that makes algorithm keeps repeating
> until a solution is converged?do i use a for loop? i know
> that we can use for loop to ask for a number of repetitions,
> but how
rach.s wrote:
> hie..
> how can i write a loop that makes algorithm keeps repeating until a solution
> is converged?do i use a for loop? i know that we can use for loop to ask for
> a number of repetitions, but how to use it to ask the algorithm to keep
> repeating until a solution is converged?
g
Ted Harding wrote:
>
> There are various ways round this, but a 'for' loop with
> a fixed number of iterations is not usully one of them!
>
> The simplest is to use while(). A possibly strategy is
>
> Y.old <- initial.Y
> while(TRUE){
> Y <- compute.Y(Y.old, ...)
> if(abs(Y - Y.old)
, April 19, 2007 9:24 AM
To: [EMAIL PROTECTED]; r-help@stat.math.ethz.ch
Subject: Re: [R] convergence
Ted Harding wrote:
>
> There are various ways round this, but a 'for' loop with
> a fixed number of iterations is not usully one of them!
>
> The simplest is to use while(
Hi,
> how can i write a loop that makes algorithm keeps repeating until a solution
> is converged?do i use a for loop? i know that we can use for loop to ask for
> a number of repetitions, but how to use it to ask the algorithm to keep
> repeating until a solution is converged?
I don't know what
Hello splus-users, I am trying to fit a regression model for an ordered
response factor. So I am using the function polr in library(MASS). My data
is a matrix of 1665 rows and 63 columns (one of the column is the dependent
variable). The code I use is polr(as.ordered(q23p)~.,data=newdatap)
but I
We are currently analyzing data on children clustered in day care-centers
(DCC). We have tried to use geepack and gee libraries to estimate an overall
incidence rate for absences (=number of absences/risk time) by specifying
geese(number.absences ~ offset(log(risktime)), id=day.care.id,
Dear list members,
In re-running with GLMM() from the lme4 package a generalized-linear mixed
model that I had previously fit with glmmPQL() from MASS, I'm getting a
warning of a convergence failure, even when I set the method argument of
GLMM() to "PQL":
> bang.mod.1 <- glmmPQL(contraception ~ a
Dear R mailing list,
I'm trying to fit a censored regression model to a large (dimension of the
design matrix is 2e5 by 7) right truncated data by means of the
survreg(Surv()) function, as suggested by Paul Johnson on his "R Tips" web
page.
Possibly due to the sensitivity to the initial values
Why have you sent a message about S-PLUS to R-help, one that has already
been answered on S-news?
There is no function nlminb in R.
On 24 Feb 2004, C. Spanou wrote:
> Hello splus-users, I am trying to fit a regression model for an ordered
> response factor. So I am using the function polr in l
I am really sorry. I was supposed to send it to the Splus users but by
mistake I sent to the R-users. Sorry once again
On Feb 24 2004, Prof Brian Ripley wrote:
Why have you sent a message about S-PLUS to R-help, one that has already
been answered on S-news?
There is no function nlminb in R.
Hey, everyone,
I am using proportional odds model for ordinal responses in dose-response
experiments. For some samll data, SAS can successfully provide estimators of
the parameters, but the built-in function polr() in R fails. Would you like to
tell me how to make some change so I can use polr
liu abc <[EMAIL PROTECTED]> wrote:
>
> I am using proportional odds model for ordinal responses in
> dose-response experiments. For some samll data, SAS can successfully
> provide estimators of the parameters, but the built-in function polr()
> in R fails. Would you like to tell me how to make some
Hi,
coxfilter function in genefilter package uses coxph to fit a model to filter
genes. how come that coxfilter could converge to find a solution in cox model
fitting using a data matrix of 8000 variables and 600 samples but coxph doesn't
converge with the same matrix?
regards,
carol
---
Dear R users,
I am using the nlm function for minimization of the very non-linear function of four
parameters. I am running 100 simulations and almost always I get the convergence code
=2 (Successive iterates within tolerance. Current iterate is probably solution.)
[about 75 times of 100].
Fre
On Tuesday 23 November 2004 11:14, John Fox wrote:
> Dear list members,
>
> In re-running with GLMM() from the lme4 package a generalized-linear
> mixed model that I had previously fit with glmmPQL() from MASS, I'm
> getting a warning of a convergence failure, even when I set the
> method argument
nal Message-
> From: Deepayan Sarkar [mailto:[EMAIL PROTECTED]
> Sent: Tuesday, November 23, 2004 5:10 PM
> To: [EMAIL PROTECTED]
> Cc: John Fox; 'R-Help'
> Subject: Re: [R] Convergence problem in GLMM
>
> On Tuesday 23 November 2004 11:14, John Fox wrote:
&g
I was trying to install some more packages and ran into a problem
I hadn't seen before.
Version:
platform sparc-sun-solaris2.9
arch sparc
os solaris2.9
system sparc, solaris2.9
status
major2
Hello,
I am trying to perform a diagnostic test using BOA in R. I get the following
error message for Heidelberger and Welch test.
-
Error in if (I[i] < 0.46) { : missing value where logical needed
I am new to this environment, but I suspect this might be a bug. Does anyone
have an idea?
T
Dear R-Helpers,
Can anyone please help me to interpret warning messages from zeroinfl
(package pscl) while fitting a zero inflated negative binomial model?
The console reports convergence and the parameters seam reasonable, but
these
<>
suggest that it did not converge. (See full output belo
On Mon, 21 May 2007, carol white wrote:
> Hi, coxfilter function in genefilter package uses coxph to fit a model
> to filter genes. how come that coxfilter could converge to find a
> solution in cox model fitting using a data matrix of 8000 variables and
> 600 samples but coxph doesn't converge
Dear list members,
the following hlm was constructed:
hlm <- groupedData(laut ~ design | grpzugeh, data = imp.not.I)
the grouped data object is located at and can be downloaded:
www.anicca-vijja.de/lg/hlm_example.Rdata
The following works:
library(nlme)
summary( fitlme <- lme(hlm) )
with out
Leo Gürtler anicca-vijja.de> writes:
>
>
> hlm <- groupedData(laut ~ design | grpzugeh, data = imp.not.I)
>
> the grouped data object is located at and can be downloaded:
> www.anicca-vijja.de/lg/hlm_example.Rdata
...
>
>
> 2) What is the cause of the convergence error which seems to d
On 12/12/05, Leo Gürtler <[EMAIL PROTECTED]> wrote:
> Dear list members,
>
> the following hlm was constructed:
>
> hlm <- groupedData(laut ~ design | grpzugeh, data = imp.not.I)
>
> the grouped data object is located at and can be downloaded:
>
> www.anicca-vijja.de/lg/hlm_example.Rdata
>
> The fo
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