Dear Axel,
A few quick remarks.
1) This question is more suitable for r-sig-mixed-models.
2) A mixed model needs much more than two groups. If you have only a few
groups, consider a glm with group interactions.
3) Setting the value of a covariate to zero for a set of observations has
the same eff
Dear List,
I’d appreciate any guidance on the following.
I’m using a mixed effects logistic regression model, to allow coefficients to
vary by a group variable. However, my case is not typical in the sense that I
need to specify a different set of covariates for each level of the group
varia
Better to post on the mixed models list, r-sig-mixed-models rather than here.
And post in plain text,not html.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comi
Not really the correct mailing list. Please read the Posting Guide and
re-submit a plain text version to R-SIG-mixed-models
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
-- David.
> On Jul 18, 2017, at 3:43 PM, Ahreum Maeng wrote:
>
> Hello,
>
> I am trying to run the following mo
Hello,
I am trying to run the following model:
domi ~ type*ratio+((1|id)+(0+type|id)+(1|face_id)+(1|car_id))
My question is whether the data coding for "face_id" and "car_id" variables
is correct.
As you see on the following sample data structure, "type" is repeated
measure where 1=car, 0=face.
> try tu put line
>
> setInternet2(TRUE)
>
> into your Rprofile.site file (located in etc directory of R installation) and
> restart
> R.
You may well need to specify the utils library, as follows, to make sure the
setInternet2 function is found at run time:
utils::setInternet2()
S Elliso
, 2015 11:21 AM
> To: Uwe Ligges
> Cc: r-help@r-project.org; aurora.gonza...@openmailbox.org
> Subject: Re: [R] lme4 package installation
>
> Thanks Uwe Ligges for the suggestion.
> I tried using setInternet2() but also failed.
> I tried for several other countries but also
Thanks Uwe Ligges for the suggestion.
I tried using setInternet2() but also failed.
I tried for several other countries but also failed.
Any other suggestion to overcome it.
Thanks.
Warning: unable to access index for repository
http://cran.utstat.utoronto.ca/src/contrib
Warning: unable to access
On 13.08.2015 22:52, Teck Kiang Tan wrote:
Hi all
I have problem in installation lme4 and have tried over the past 2 days. It
failed to install from the various countries.
install.packages("lme4")
Warning: unable to access index for repository
http://cran.stat.nus.edu.sg/src/contrib
This
Hi all
I have problem in installation lme4 and have tried over the past 2 days. It
failed to install from the various countries.
> install.packages("lme4")
Warning: unable to access index for repository
http://cran.stat.nus.edu.sg/src/contrib
Warning: unable to access index for repository
http://
Have you trying installing it directly from CRAN?
install.packages("lme4")
Do you have all dependencies installed? install.packages() from CRAN will
take care of that. You repos = NULL you have to install all dependencies
manually.
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Re
Hello
I've downloaded the tar.gz file of the package "lme4" and when I use the
coomand:
install.packages("lme4_1.1-8.tar.gz", repos = NULL, type = "source")
appears an error that suspends the installation:
In file included from external.cpp:8:0:
predModule.h:12:23: fatal error: RcppEigen.h:
Jacob Warren (RIT Student rit.edu> writes:
>
> Using lme4 how does one define a 2 factor factorial model with both factors
> being random?
>
> Specifically I am just trying to recreate the results from Montgomery's
> Design of Experiments book (7th edition), example 13.2. In this example
> ther
Using lme4 how does one define a 2 factor factorial model with both factors
being random?
Specifically I am just trying to recreate the results from Montgomery's
Design of Experiments book (7th edition), example 13.2. In this example
there are 2 random factors and I want to include the interaction
2014 03:48
|To: r-h...@stat.math.ethz.ch
|Subject: Re: [R] Lme4 Package Help!
|
|Doran, Harold air.org> writes:
|
|>
|> Daniel
|>
|> Lmer has never returned p-values from a model summary; this is a
|> well-known and discussed issue. You must have post-processed the data
|> in so
Doran, Harold air.org> writes:
>
> Daniel
>
> Lmer has never returned p-values from a model summary;
> this is a well-known and discussed issue. You must
> have post-processed the data in some way to get the p-values.
But it's worth noting that lmerTest does, and the way it works
makes it p
...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Daniel Mello
Sent: Thursday, November 06, 2014 6:24 PM
To: r-help@r-project.org
Subject: [R] Lme4 Package Help!
Hello, all!
So, as stated in the title, the Lme4 package used to output p-values for the
fixed effects. What
Daniel Mello ucmerced.edu> writes:
>
> Hello, all!
>
> So, as stated in the title, the Lme4 package used
> to output p-values for the
> fixed effects. What happened?!
>
> Literally 2 weeks ago, I ran code, got output with no errors, and had
> p-values listed for my fixed effects.
>
> Now, ru
Hello, all!
So, as stated in the title, the Lme4 package used to output p-values for the
fixed effects. What happened?!
Literally 2 weeks ago, I ran code, got output with no errors, and had
p-values listed for my fixed effects.
Now, running THE SAME CODE with THE SAME DATASET (nothing at all ha
should
look for that may potentially cause some issues?
>
> -Oorspronkelijk bericht-
> Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> Namens Craig O'Connell
> Verzonden: maandag 28 april 2014 3:20
> Aan: r-help@r-project.org
> Onde
body of data.
~ John Tukey
-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens
Craig O'Connell
Verzonden: maandag 28 april 2014 3:20
Aan: r-help@r-project.org
Onderwerp: [R] lme4 Error Help: “maxstephalfit…pwrssUpdate”
I am using
I am using a mixed model to assess the effects of various variables (i.e.
treatment, density, visibility) on bee behavior (e.g., avoidance frequency -
total avoidances per total visits; feeding frequency, and mating frequency).
Bee individuals is my random factor (n=63 different bees), whereas
Shouli Li utu.fi> writes:
>
> I have the same problem. I am wondering have you solved the problem already?
>
> [[alternative HTML version deleted]]
>
>
It's completely unclear from this message what the context is,
so it's unanswerable -- sorry. (Perhaps there was a link to
the ori
I have the same problem. I am wondering have you solved the problem already?
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-pro
erzonden: woensdag 14 augustus 2013 12:10
Aan: Ben Bolker; r-h...@stat.math.ethz.ch
Onderwerp: Re: [R] Lme4 and syntax of random factors
Thank you for your answer Ben B., it is helpful.
The post on Fixed vs Random effects is particularly interesting.
I had in mind to create a fixed interaction
gards
De : Ben Bolker
À : r-h...@stat.math.ethz.ch
Envoyé le : Mardi 13 août 2013 15h55
Objet : Re: [R] Lme4 and syntax of random factors
Robert U yahoo.fr> writes:
>
> Dear
> R-users,
>
[snip]
This question probably belongs on r-sig-mixed-mod...@r-project.o
Robert U yahoo.fr> writes:
>
> Dear
> R-users,
>
[snip]
This question probably belongs on r-sig-mixed-mod...@r-project.org .
Followups there, please.
> Let's say that I have 2 random effects, A (e.g. species, k=2) and B
(e.g. individuals, n=100). I made some research about model syntax,
Dear
R-users,
Iâve been
looking at the lmer function (lme4 package) in order to set up a mixed linear
model
and something about the syntax of the random effects eludes me. Iâd like a
hand
with understanding a specific point, if someone does master this functionâ¦
Letâs say
that I have
sarah hoffmann outlook.com> writes:
> I am using lme4 to fit a mixed effects model to my data. I have a
> significant interaction between two variables. My question is what
> is the correct way to get p-values for single terms involved in that
> interaction. I have been using stepwise backwards
I am using lme4 to fit a mixed effects model to my data. I have a significant
interaction between two variables. My question is what is the correct way to
get p-values for single terms involved in that interaction.
I have been using stepwise backwards deletion and model comparisons to get
p-val
Thanks Bert - I was unaware of that list. I have since posted my questions
there (in plain text).
> Date: Thu, 6 Dec 2012 12:50:05 -0800
> Subject: Re: [R] lme4 glmer general help wanted - code included
> From: gunter.ber...@gene.com
> To: nebs...
You are more likely to get a helpful (or any) response on mixed models
issues by posting to the r-sig-mixed-models list, not here.
-- Bert
On Thu, Dec 6, 2012 at 11:12 AM, Ben Gillespie wrote:
> Hi guys,
> I'm very new to R and have been teaching myself over the past few months -
> it's a great
Hi guys,
I'm very new to R and have been teaching myself over the past few months - it's
a great tool and I'm hoping to use it to analyse my PhD data.As I'm a bit of a
newb, I'd really appreciate any feedback and/or guidance with regards to the
following questions that relate to generalized line
Jeff jp.pair.com> writes:
> I'm hoping that this is a relatively easy question for someone
> familiar with the lme4 package. I'm accustomed to using HLM
> software and writing a simple 2 level [null] equation like this:
>L1 - Yij = b0 + e
>L2 - b0 = B00 + u0
>The following comm
I'm hoping that this is a relatively easy question for someone familiar with
the lme4 package.
I'm accustomed to using HLM software and writing a simple 2 level [null]
equation like this:
L1 - Yij = b0 + e
L2 - b0 = B00 + u0
The following command in R provides results that ar
On 2012-07-27 05:50, Obermeier Andrew wrote:
Hello,
I just joined this list today, so am worried about proper protocol, but would
like to post a question about lme4.
The R-sig-mixed-models list
(https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models) may be a
better place for questions o
Hello,
I just joined this list today, so am worried about proper protocol, but would
like to post a question about lme4.
In Baayen, Davidson, and Bates (2008), Mixed-effects modeling with crossed
random effects for subjects and items, the authors describe steps for a Latin
Square Design (p. 40
Hi all,
I am trying to run an lme4 model (logistic regression with mixed effects) in
MCMCglmm but am unsure how to implement it properly.
Currently, my lme4 model formula looks as follows: "outcome ~ (1 + var1 +
var2 | study) + var1 + var2"
In English, this means that I am fitting a random effec
I hope you all don't mind this question, but I need help interpreting output
for a linear mixed effects model output I've been trying to learn to do in R. I
am new to longitudinal data analysis and linear mixed effects regression. I
have a model I fitted with weeks as the time predictor, and sco
1. Post this on the R-sig-mixed-models list, not here.
2. (The following "advice" should be treated cautiously): Forget it! With
only 5 bats, you have too little information to estimate variance
components. Treat the bats as fixed effects and fit via lm (or glm if some
of your responses are not ga
Dear all,
I have the following dataset with results from an experiment with individual
bats that performed two tasks related to prey capture under different
conditions:
X variables:
indiv - 5 individual bats used in the experiment; all of which performed both
tasks
task - 2 tasks that each ind
On 29.10.2011 18:33, ADosmann wrote:
I had a similar problem installing lme4 on my mac in R 2.12.1. The
information on this thread helped me troubleshoot the problem, but I arrived
at a different solution.
When I tried to load lme4 from the source as advised by one author, it
failed and I got
I had a similar problem installing lme4 on my mac in R 2.12.1. The
information on this thread helped me troubleshoot the problem, but I arrived
at a different solution.
When I tried to load lme4 from the source as advised by one author, it
failed and I got an error message regarding the package '
Hi,
I have some difficulties to work with the function lmer from lme4. My
responses are binary form and i want to use forward selection to my 12
covariates but i dont know how can I choose them based on deviance. Can
someone pls give me a example so i can apply. For example my covariates are
gesta
Hi Peter and R community;
Thank you Peter for suggestion. I tried the following:
genetic_evaluation<-transform(genetic_evaluation,
sire=factor(sire),dam=factor(dam))
require(lme4); mod <- lmer(adg ~ 1 + (1|sire) + (1|dam:sire),
data=genetic_evaluation)
ranef (mod)
provides random effects asso
On Apr 16, 2011, at 09:52 , Dieter Menne wrote:
>>
>
> Thanks for providing a self-contained example. The error message is really a
> bit confusing (anybody around who understands what lme thinks here?),
It's not thinking at all, it's just evaluating a:b (so usual model formula
interpretatio
Nilaya Sharma wrote:
>
> I was trying to fit a mixed model in animal experiment but stuck at simple
> point. The following similar example is from SAS mixed model pp 212.
>
>
> genetic_evaluation <- read.table(textConnection("
> sire dam adg
> 1 1 2.24
> 1 1 1.85
> ...
> 5 2 2.58
> 5 2
On Apr 16, 2011, at 04:21 , Nilaya Sharma wrote:
> genetic_evaluation <- read.table(textConnection("
> sire dam adg
> 1 1 2.24
> 1 1 1.85
> 1 2 2.05
> 1 2 2.41
> 4 2 1.86
> 4 2 1.79
> 5 1 2.82
> 5 1 2.64
> 5 2 2.58
> 5 2 2.56"), header = TRUE)
>
> # my R practice codes
>
My question was how can we estimate effects and define correct
model equivalent to SAS code provided.
On Fri, Apr 15, 2011 at 10:21 PM, Nilaya Sharma wrote:
> Hi R community,
>
> I am new bird to R and moved recently from SAS. I am no means expert on
> either but very curious learner. So your hel
Hi R community,
I am new bird to R and moved recently from SAS. I am no means expert on
either but very curious learner. So your help crucial for me to learn R.
I have already got positive expression.
I was trying to fit a mixed model in animal experiment but stuck at simple
point. The following
On Tue, 24 Aug 2010, Daniel Malter wrote:
Hi, has there been a solution to this issue? I am encountering the same
Yes, please look in the R-sig-mac archives (the place to ask
Mac-specific questsions!). My notes say July 28,
https://stat.ethz.ch/pipermail/r-sig-mac/2010-July/007601.html
On Aug 24, 2010, at 3:13 PM, Daniel Malter wrote:
Hi, has there been a solution to this issue? I am encountering the
same
problem on a Mac with OSX 10.6.4. The problem persists when I try to
install
lme4 from the source (see below), and my R version is up to date
according
to R's update
Hi, has there been a solution to this issue? I am encountering the same
problem on a Mac with OSX 10.6.4. The problem persists when I try to install
lme4 from the source (see below), and my R version is up to date according
to R's update check.
Thanks for any help,
Daniel
--
session
On Jul 22, 2010, at 11:34 AM, Nicholas Griffin wrote:
I have been trying to get the lme4 package installed on Mac OS X...
with no
success. The Mac OS binary is not available on any CRAN, and I also
can’t
install the package from old source. Has anyone found a solution to
this
problem? I
I have been trying to get the lme4 package installed on Mac OS X... with no
success. The Mac OS binary is not available on any CRAN, and I also can¹t
install the package from old source. Has anyone found a solution to this
problem? I am happy to use nlme for now, but I tend to prefer to do my
mi
On OS X you need to install the source package for lme4 as the binary
package fails one of the tests. We have been unable to reproduce this
failure under other operating systems, which makes it hard to debug.
On Tue, Jul 6, 2010 at 11:09 AM, Alex Foley wrote:
> Hi,
>
> I was trying to install l
Hi,
I was trying to install lme4 package, but got the following errors:
> install.packages("lme4")
Warning in install.packages("lme4") :
argument 'lib' is missing: using '/Users/xx/Library/R/2.11/library'
Warning message:
In getDependencies(pkgs, dependencies, available, lib) :
package âlme
Hi,
I was trying to install the package
'lme4'. Here is the code and the sessionInfo() that I am using:
> install.packages("lme4",dependencies=T)
Warning in
install.packages("lme4", dependencies = T) :
argument 'lib' is
missing: using '/Users/ts/Library/R/2.11/library'
Warning message:
In ge
Just a small correction to what I've said ... see below
> "MM" == Martin Maechler
> on Tue, 18 May 2010 10:00:20 +0200 writes:
> David Winsemius
> on Mon, 17 May 2010 17:44:00 -0400 writes:
>> On May 17, 2010, at 5:01 PM, Adam November wrote:
>>> I believe I'm
> David Winsemius
> on Mon, 17 May 2010 17:44:00 -0400 writes:
> On May 17, 2010, at 5:01 PM, Adam November wrote:
>> I believe I'm working with the newest version of R
>> (2.11.0) and I've tried a few of the most recent
>> versions... No luck yet.
> Luck has not
On May 17, 2010, at 5:01 PM, Adam November wrote:
I believe I'm working with the newest version of R (2.11.0) and I've
tried a few of the most recent versions... No luck yet.
Luck has nothing to do with it. What part of ERROR in the CRAN package
check for the current version of lme4 with th
I believe I'm working with the newest version of R (2.11.0) and I've
tried a few of the most recent versions... No luck yet.
Thanks,
-Adam
On Mon, May 17, 2010 at 1:51 PM, David Winsemius wrote:
>
> On May 17, 2010, at 4:44 PM, Adam November wrote:
>
>> Hi All,
>> Just thought I'd bring attention
On May 17, 2010, at 4:44 PM, Adam November wrote:
Hi All,
Just thought I'd bring attention to the fact that lme4 is failing cran
checks on the mac platform, and I can't seem to install it from source
on 10.5 or 10.6, either ("ld: library not found for -lgfortran ") .
Any help getting this worki
Hi All,
Just thought I'd bring attention to the fact that lme4 is failing cran
checks on the mac platform, and I can't seem to install it from source
on 10.5 or 10.6, either ("ld: library not found for -lgfortran ") .
Any help getting this working?
Thanks!
(sorry for the non-plain-text...)
__
Hi All,
Just thought I'd bring attention to the fact that lme4 is failing cran
checks on the mac platform, and I can't seem to install it from source on
10.5 or 10.6, either ("ld: library not found for -lgfortran
") . Any help getting this working?
Thanks!
[[alternative HTML version delete
cristina gmail.com> writes:
>
>
> Hello,
>
> I am trying to use the lmer function from the lme4 package I have installed
> today (lme4_0.999375-32.zip; R-2.10.1). According to the information, I
> should be able to use a generalized linear mixed model.
> However when I try to fit a model wit
Hello,
I am trying to use the lmer function from the lme4 package I have installed
today (lme4_0.999375-32.zip; R-2.10.1). According to the information, I
should be able to use a generalized linear mixed model.
However when I try to fit a model with Gamma distribution of the errors, it
gives me
On 10-Jan-10 12:40, Douglas Bates wrote:
As Dieter points out, this is likely a mismatch between the versions
of the lme4 and the Matrix packages, which are very closely linked
together. It appears that the version of the lme4 package is too old
for the version of the Matrix package, which is ha
On 10-Jan-10 12:12, Dieter Menne wrote:
Esmail Bonakdarian-4 wrote:
Using Ubuntu 9.04 and R 2.8.1.
For a project I need to use the Zelig package, which in turn wants to
use the lme4 package. When trying to use Zelig and it tries to its
required
packages I get the following error message.
As Dieter points out, this is likely a mismatch between the versions
of the lme4 and the Matrix packages, which are very closely linked
together. It appears that the version of the lme4 package is too old
for the version of the Matrix package, which is hard to catch in the
dependencies (lme4 depen
Esmail Bonakdarian-4 wrote:
>
>
> Using Ubuntu 9.04 and R 2.8.1.
>
> For a project I need to use the Zelig package, which in turn wants to
> use the lme4 package. When trying to use Zelig and it tries to its
> required
> packages I get the following error message.
>
> Error in dyn.load(file,
Hello all,
Using Ubuntu 9.04 and R 2.8.1.
For a project I need to use the Zelig package, which in turn wants to
use the lme4 package. When trying to use Zelig and it tries to its required
packages I get the following error message.
Error in dyn.load(file, DLLpath = DLLpath, ...) :
function 'c
Ben ,
Thanks! This worked after I updated my version of R (from 2.8.1 to 2.10) .
Best,
Spencer
On Tue, Nov 10, 2009 at 7:04 PM, Ben Bolker wrote:
> sj gmail.com> writes:
>
> > I am using glmer() from lmer(lme4) to run generalized linear mixed
> models. I
> > can't figure out how to extrac
sj gmail.com> writes:
> I am using glmer() from lmer(lme4) to run generalized linear mixed models. I
> can't figure out how to extract the z values for the fixed effects that are
> reported using the summary function . Any help would be appreciated.
library(lme4)
example(glmer)
coef(summary(gm1
Hello,
I am using glmer() from lmer(lme4) to run generalized linear mixed models. I
can't figure out how to extract the z values for the fixed effects that are
reported using the summary function . Any help would be appreciated.
Thanks,
Spencer
[[alternative HTML version deleted]]
Many thanks, Bill and Emmanuel!
Christian
Emmanuel Charpentier schrieb:
Le dimanche 08 novembre 2009 à 00:05 +0100, Christian Lerch a écrit :
Dear list members,
I try to simulate an incomplete block design in which every participants
receives 3 out of 4 possible treatment. The outcome in bina
Le dimanche 08 novembre 2009 à 00:05 +0100, Christian Lerch a écrit :
> Dear list members,
>
> I try to simulate an incomplete block design in which every participants
> receives 3 out of 4 possible treatment. The outcome in binary.
>
> Assigning a binary outcome to the BIB or PBIB dataset of th
Dear list members,
I try to simulate an incomplete block design in which every participants
receives 3 out of 4 possible treatment. The outcome in binary.
Assigning a binary outcome to the BIB or PBIB dataset of the package
SASmixed gives the appropriate output.
With the code below, fixed tre
On Sat, Feb 28, 2009 at 9:00 AM, Jeroen Ooms wrote:
> I am making a little GUI for lme4, and I was wondering if there is a function
> that automatically detects on which level every variable exists.
> Furtheremore I got kind of confused about what a random effects model
> actually calculates.
Qu
I am making a little GUI for lme4, and I was wondering if there is a function
that automatically detects on which level every variable exists.
Furtheremore I got kind of confused about what a random effects model
actually calculates.
I have some experience with commercial software packages for mu
AFAICS you do not have a current Matrix: please ensure you get 0.999375-17
On Thu, 18 Dec 2008, Hans-Ruediger Pfister wrote:
Dear all,
after recently updating my R-packages I am unable to work with lme4, since it
does not load. What I get is this:
Error in inDL(x, as.logical(local), as.logi
-project.org
Onderwerp: [R] lme4 error after Matrix update
Dear all,
after recently updating my R-packages I am unable to work with lme4,
since it does not load. What I get is this:
Error in inDL(x, as.logical(local), as.logical(now), ...) :
function 'cholmod_l_start' not provided
Dear all,
after recently updating my R-packages I am unable to work with lme4,
since it does not load. What I get is this:
Error in inDL(x, as.logical(local), as.logical(now), ...) :
function 'cholmod_l_start' not provided by package 'Matrix'
In addition: Warning messages:
1: package 'lme4'
On Fri, Dec 5, 2008 at 3:44 PM, B. Meijering <[EMAIL PROTECTED]> wrote:
> Using lmer() on my data results in an error. The problem, I think, is my
> model specification. However, lm() works ok.
> I recreated this error with a more simple dataset. (See code below.)
> # word and letter recognition d
Using lmer() on my data results in an error. The problem,
I think, is my model specification. However, lm() works
ok.
I recreated this error with a more simple dataset. (See
code below.)
# word and letter recognition data
# two within factors:
# word length: 4, 5, 6 letters
# letter position:
t
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Namens Ben Zuckerberg
Verzonden: maandag 24 november 2008 18:37
Aan: r-help@r-project.org
Onderwerp: [R] lme4 and false convergenc
Dear R-users,
I am using the most updated package of lme4 (lme4_0.999375-2). I have a
data set consisting of ~900 observations at ~440 independent survey
sites. There are an unbalanced number of surveys at each site. I am
attempting to develop several models evaluating the presence/absence
Dear all,
I'm using the latest version of the package lme4 and R version 2.7.2
(2008-08-25).
After I run the model, I get the results of the model (cf. below). Then, I
run an ANOVA using the "anova" function and I get the following message
"Error in anova(lmer1) : Calculated PWRSS for a LMM is n
Re Doug's comment:
I apologize for being incomplete--I do know better.
I did explicitly include a data statement in the models, but didn't
write the model statements properly in my post. Here are the actual
model statements:
mod1 <- lmer(y ~ category + subcomp + (1 | id), data=prepchiefs08rm)
On Wed, Oct 22, 2008 at 4:18 PM, Lawrence Hanser <[EMAIL PROTECTED]> wrote:
> Dear R Colleagues,
>
> I run the following two models:
>
> mod1 <- lmer(y ~ category + subcomp + (1 | id))
> mod2 <- lmer(y ~ category + subcomp + category*subcomp + (1 | id)
>
> where:
> category has 4 possible values
>
Dear R Colleagues,
I run the following two models:
mod1 <- lmer(y ~ category + subcomp + (1 | id))
mod2 <- lmer(y ~ category + subcomp + category*subcomp + (1 | id)
where:
category has 4 possible values
subcomp has 24 possible values
id has approx 120 values (id is nested within category, and in
TECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Mark Difford
> Sent: Saturday, August 09, 2008 8:32 AM
> To: r-help@r-project.org
> Subject: Re: [R] [lme4]Coef output with binomial lmer
>
>
> Hi Tom,
>
> >> 1|ass%in%pop%in%fam
>
> This is "non-standard,&
Hi Tom,
>> 1|ass%in%pop%in%fam
This is "non-standard," but as you have found, it works. The correct
translation is in fact
1|fam/pop/ass
and not 1|ass/pop/fam as suggested by Harold Doran. Dropping %,
ass%in%pop%in%fam reads [means] as: nest ass in pop [= pop/ass], and then
nest this in fam ==
Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Tom Cameron
> Sent: Friday, August 08, 2008 11:47 AM
> To: r-help@r-project.org; [EMAIL PROTECTED]
> Subject: [R] [lme4]Coef output with binomial lmer
>
> Dear R users
>
> I have built the follow
[EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Tom Cameron
> Sent: Friday, August 08, 2008 11:47 AM
> To: r-help@r-project.org; [EMAIL PROTECTED]
> Subject: [R] [lme4]Coef output with binomial lmer
>
> Dear R users
>
> I have built the following model
>
>
Dear R users
I have built the following model
m1<-lmer(y~harn+foodn+(1|ass%in%pop%in%fam),family = "quasibinomial")
where y<-cbind(alive,dead)
where harn and foodn are categorical factors and the random effect is a
nested term to represent experimental structure
e.g. Day/Block/Replicate
Takatsugu Kobayashi indiana.edu> writes:
>
> Hi,
>
> Could someone explain what this message mean? I was playing with lme4
> pacakge but I could not run any models...
>
> Error in printMer(object) :
> no slot of name "dims" for this object of class "table"
> In addition: Warning message:
> In
Hi,
Could someone explain what this message mean? I was playing with lme4
pacakge but I could not run any models...
Error in printMer(object) :
no slot of name "dims" for this object of class "table"
In addition: Warning message:
In printMer(object) :
trying to get slot "dims" from an object (cl
A quick correction to my earlier email:
> The problem that I have with this analysis is that Treatment gets both a
> fixed and a random effect [1]. So I would like to remove the fixed effect
> from Treatment, but I'm not sure how to do this. Is the following correct?
I meant: "I would like to remov
Hello list,
I'm trying to figure out how exactly the specification of nested random
effects works in the lmer function of lme4. To give a concrete example,
consider the rat-liver dataset from the R book (rats.txt from:
http://www.bio.ic.ac.uk/research/mjcraw/therbook/data/ ).
Crawley suggests
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