I am running R 2.10 on SuSE 9.3. When I tried to install the package
"rgl", I got error message:
...
In file included from pixmap.cpp:13:
pngpixmap.h: In static member function `static void
PNGPixmapFormat::Load::info_callback(png_struct*, png_info*)':
pngpixmap.h:149: error: invalid conversion
Thanks for the excellent work!
Shige
On 6/6/05, Yuandan Zhang <[EMAIL PROTECTED]> wrote:
> Guohui,
>
> Great effort for translating this document into Chinese. I will
> certainly read through and send some feedback to you.
>
> Best
>
> Yuandan
>
> Guohui Ding wrote:
>
> >Hi, every one,
> >I
Dear All,
I want to change the default options of Rcmdr; it seemed to work when
I made changes and click the "Exit and Restart R Commander". However,
next time I open Rcmdr, it automatically restored to the default
options. Is there a way to change Rcmdr's options permanently? Thanks!
Shige
Hi,
I downloaded the new R 2.1.1 source, compiled and installed on my suse
9.3 box. Then I installed the package Rcmdr. Surprisingly, I cannot
type anything onto the script window. I uninstalled R and grabbed an
rpm version from CRAN, installed it, and installed Rcmdr, same
problem!
Has anyone el
Dear All,
I want to fit a two-level cross-classified random effect poisson model
using LME4. However, the documentation for this pacakge seems really
thin. I have the NLME book, but there is not much about mixed
generalized linear models. Any suggestions about where I should begin?
Thanks!
Best,
Dear All,
I have two-level data with individual as level-1, birth cohort and
community as level-2. All the level-2 covariates are generated from
the level-1 covariates by cross-classifying by cohort and community.
>From what I read, an ordinary three-level model with individual nesed
within birth
Hi,
I compare results of a simple two-level poisson estimated using lmer
and those estimated using MLwiN and Stata (v.9).
In R, I trype:
---
m2 <- lmer(.D ~ offset(log(.Y)) + (1|pcid2) + educy + agri, male, po
Hi Dimitris,
Thank you so much! That really helps!
Shige
On 8/17/05, Dimitris Rizopoulos <[EMAIL PROTECTED]> wrote:
> I don't know what specific application Rick has in mind, but if there
> is possibility of missing values (which is common, e.g., in
> longitudinal studies) then this should also
Dear Renaud,
Thank you very much! So now lme4 has both laplace and adaptive
quadrature? Wow, that's really impressive!
Shige
On 8/17/05, Renaud Lancelot <[EMAIL PROTECTED]> wrote:
> Shige Song a écrit :
> > Dear All,
> >
> > I have two-level data with individ
Dear All,
With kind help from several friends on the list, I am getting close.
Now here are something interesting I just realized: for random
effects, lmer reports standard deviation instead of standard error! Is
there a hidden option that tells lmer to report standard error of
random effects, lik
If you want the
> posterior variance of an HLM model you need to extract it.
>
>
>
> -----Original Message-
> From: [EMAIL PROTECTED] on behalf of
> Shige Song
> Sent: Wed 8/17/2005 6:30 AM
> To: r-help@stat.math.ethz.ch
> Cc:
> S
Dear All,
After playing with lmer for couple of days, I have to say that I am
amazed! I've been using quite some multilevel/mixed modeling packages,
lme4 is a strong candidate for the overall winner, especially for
multilevel generzlized linear models.
Now go back to my two-level poisson model wi
#x27;X is indefinite
Thanks!
Shige
On 8/18/05, Douglas Bates <[EMAIL PROTECTED]> wrote:
> On 8/18/05, Shige Song <[EMAIL PROTECTED]> wrote:
> > Dear All,
> >
> > After playing with lmer for couple of days, I ha
+
-
Shige
On 8/19/05, Shige Song <[EMAIL PROTECTED]> wrote:
> Dear Professor Bates,
>
> Here is output R 2.1.1 produced with "control = list(EMverbose = TRUE,
> msVerbose = TRUE)". I am getting the new devel versi
+
-
The same model did not have problems converging in R 2.1.1.
Shige
On 8/19/05, Shige Song <[EMAIL PROTECTED]> wrote:
> Here is what happened using R-devel:
>
> -
> EM iterations
> 0 85289.766 ( 5407.1
Dear All,
Can anyone give me some hints about how to set starting values for a lmer
model? For complicated models like this, good starting values can help the
numerical computation and make the model converge faster. Thanks!
Shige
[[alternative HTML version deleted]]
_
Dear Professor Bates,
Thanks, that will probably do the job.
By the way, how to cite lme4 in my work?
Shige
On 8/31/05, Douglas Bates <[EMAIL PROTECTED]> wrote:
>
> On 8/30/05, Shige Song <[EMAIL PROTECTED]> wrote:
> > Dear All,
> >
> > Can anyone
Dear Professor Bates,
Thank you very much for the help. I cannot waiting to see your new book!
Best,
Shige
On 9/6/05, Douglas Bates <[EMAIL PROTECTED]> wrote:
>
> On 9/5/05, Shige Song <[EMAIL PROTECTED]> wrote:
> > Dear Professor Bates,
> >
> > Thanks, th
Dear All,
The "coxph" function in the "survival" package allows multiple frailty
terms. In all the examples I saw, however, the frailty terms are nested.
What will happen if I have non-nested (that is, cross-classified) frailties
in the model? Will the model still work? Do I need to take specia
Hi Thomas,
Thanks for the reply, coxme() seems to be the one I need.
Best,
Shige
On 9/8/05, Thomas Lumley <[EMAIL PROTECTED]> wrote:
>
> On Thu, 8 Sep 2005, Shige Song wrote:
>
> > Dear All,
> >
> > The "coxph" function in the "survival&quo
Souds like a model with cross-classified random effects. Lme4 can handle
this easily.
Shige
On 1/3/06, Brian Perron <[EMAIL PROTECTED]> wrote:
>
> Hello all:
>
> I am interested in computing what the multilevel modeling literature calls
> a multiple membership model. More specifically, I am work
emacs + ess
Shige
On 3/11/06, Ana Patricia Martins <[EMAIL PROTECTED]> wrote:
>
> Hi to all,
>
> I initiate in R - Linux and I've some problems to find an editor with R
> interface as like RWinEdt for WinEdt.
>
> Anyone know one?
>
> Thanks in advance for your kind cooperation.
>
> Best regards
>
. Thanks!
Best,
Shige Song
Department of Sociology, UCLA
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[EMAIL PROTECTED] mailing list
https://www.stat.math.ethz.ch/mailman/listinfo/r-help
Dear All,
I am doing a growth modeling using NLME. I have three levels in my
data: observation, individual, household. About half of my total
sample have missing values in my household-level covariates. Under
this situation, the best way to go is probably to multiply impute the
data (for, say, 5 t
a frame each time?
>
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Shige Song
> Sent: Monday, February 28, 2005 12:18 PM
> To: R-help@stat.math.ethz.ch
> Subject: [R] Using mutiply imputed data in NLME
>
> Dear All,
>
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