Re: [R] mixed models lmer function help!!

1. A mess, because you failed to read and follow the posting guide: This is a **plain text** mailing list, which means that html can get mangled, as you have demonstrated. 2. And wrong list: the r-sig-mixed-models list is where this would be more suitable. Cheers, Bert Bert Gunter "The trouble

Re: [R] mixed models

Greetings David, I am new to R and neglected to check vigorously for missing values. Apologize for posting without checking and finding the one NA. I appreciate your help. Thanks. James F. Henson On Fri, May 27, 2016 at 1:49 PM, David Winsemius wrote: > >> On May 27, 2016, at 10:07 AM, James Hen

Re: [R] mixed models

> On May 27, 2016, at 10:07 AM, James Henson wrote: > > Greetings Jeff, > You are correct that the unequal number of levels is not the problem. > I revised the data frame so that the number of levels was equal and > the same error message occurred. The code is below, and the > Eboni2.txt file i

Re: [R] mixed models

Greetings Jeff, You are correct that the unequal number of levels is not the problem. I revised the data frame so that the number of levels was equal and the same error message occurred. The code is below, and the Eboni2.txt file is attached. This problem baffles me. I appreciate any help. Best r

Re: [R] mixed models

Please keep the mailing list in the loop by using reply-all. I don't think there is a requirement that the number of levels is equal, but there may be problems if you don't have the minimum number of records corresponding to each combination of levels specified in your model. You can change th

Re: [R] mixed models

You forgot to show the commands to us that you used to read the data in with (your example is not "reproducible"). This step can make all the difference in the world as to whether your analysis commands will work or not. -- Sent from my phone. Please excuse my brevity. On May 25, 2016 11:59:06

Re: [R] Mixed models negative binomial, Error in eval(expr, envir, enclos)

Karina Charest Castro gmail.com> writes: > > Hi! This question is more appropriate for r-sig-mixed-mod...@r-project.org. Please repost there (I will add a few questions/comments below that you should probably address when you repost) > I am trying to do a glmer.nb but get this error: > Error

Re: [R] Mixed models with missing data

This has basically nothing to do with R, so please don't post here. You may wish to try the r-sig-mixed-models list, however. They are more sympathetic to such questions -- and what are likely to be the torrent from you that follows. -- Bert On Fri, Feb 15, 2013 at 9:17 AM, Bone, Jonathan wrote

Re: [R] Mixed Models: Contribution of random variable to final estimate

Luis Reino isa.utl.pt> writes: > > Dear all, > We want to test if the invasiveStatus is predicted by the amount > (quant) of animals arriving to a country of a certain species > (taxonid). We are using lmer to perform the model. In general lmer questions belong on r-sig-mixed-mod...@r-proje

Re: [R] Mixed Models providing a correlation structure.

Why did you use the 'lower.tri' syntax? Does this work for you? lme(Y~Random, data = DATA, random = list(Random = pdSymm(CovM,~Random))) Kevin On Wed, Jul 11, 2012 at 9:27 AM, Marcio wrote: > Dear Simon, > Thanks for the quick reply. > Unfortunately I don't have access to Pinheiro and Bates. I

Re: [R] Mixed Models providing a correlation structure.

Dear Simon, Thanks for the quick reply. Unfortunately I don't have access to Pinheiro and Bates. I tried googling the pdSymm and lme but I still cannot get the syntax right. In my model, I only have 1 random factor with repetitions (groups) (e.g. 2 records per each level) I am pasting bellow a ver

Re: [R] Mixed Models providing a correlation structure.

Aah. From your model description, you are more interested in the covariance structure of the random effects, rather than the residuals. You will then need to use the pdSymm class in the specification of the random effects. See Pinheiro and Bates pp 157-166. Cheers, Simon. On 06/07/12 11:43,

Re: [R] Mixed Models providing a correlation structure.

You need to look at the corSymm correlation class for nlme models. Essentially, in your lme call, you need to do correlation=corSymm(mat[lower.tri(mat)], fixed=TRUE) Where mat is your (symmetric) variance-covariance matrix. Remember to make sure that the rows and columns of mat are in the sam

Re: [R] Mixed models fixed effects

Hi Thierry, Thanks again! You are a great help!! I have taken habitat out, and then run it with style but still the same problem exists, so I have taken both style and habitat out. The problem here is it leaves me with only 3 parameters and because they are all correlated I cant use them in t

Re: [R] Mixed models fixed effects

an be extracted from a given body of data. ~ John Tukey -Oorspronkelijk bericht- Van: Emma Stone [mailto:emma.st...@bristol.ac.uk] Verzonden: vrijdag 13 maart 2009 11:08 Aan: ONKELINX, Thierry; Emma Stone; r-help@r-project.org Onderwerp: RE: [R] Mixed models fixed effects Hi Thierry, Thank

Re: [R] Mixed models fixed effects

Emma Stone [mailto:emma.st...@bristol.ac.uk] Verzonden: vrijdag 13 maart 2009 10:50 Aan: ONKELINX, Thierry; Emma Stone; r-help@r-project.org Onderwerp: RE: [R] Mixed models fixed effects Hi Thierry, That's great thanks! I have done as you have said but I keep getting a warning message here is my code:

Re: [R] Mixed models fixed effects

2009 10:50 Aan: ONKELINX, Thierry; Emma Stone; r-help@r-project.org Onderwerp: RE: [R] Mixed models fixed effects Hi Thierry, That's great thanks! I have done as you have said but I keep getting a warning message here is my code: G1Hvol<-glmer(passes~hvolume+style+habitat(1|Site),family =

Re: [R] Mixed models fixed effects

Emma Stone Verzonden: woensdag 11 maart 2009 15:29 Aan: r-help@r-project.org Onderwerp: Re: [R] Mixed models fixed effects Dear All, This may sound like a dumb question but I am trying to use a mixed model to determine the predictors of bat activity along hedges within 8 sites. So my response is c

Re: [R] Mixed models fixed effects

rinner >> >> The combination of some data and an aching desire for an answer does not >> ensure that a reasonable answer can be extracted from a given body of >> data. >> ~ John Tukey >> >> -Oorspronkelijk bericht- >> Van: r-help-boun...@r-proj

Re: [R] Mixed models fixed effects

ijk bericht- Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens Emma Stone Verzonden: woensdag 11 maart 2009 15:29 Aan: r-help@r-project.org Onderwerp: Re: [R] Mixed models fixed effects Dear All, This may sound like a dumb question but I am trying to use a mixed mo

Re: [R] Mixed models fixed effects

Re: [R] Mixed models fixed effects Dear All, This may sound like a dumb question but I am trying to use a mixed model to determine the predictors of bat activity along hedges within 8 sites. So my response is continuous (bat passes) my predictors fixed effects are continuous (height met

Re: [R] Mixed models fixed effects

Dear All, This may sound like a dumb question but I am trying to use a mixed model to determine the predictors of bat activity along hedges within 8 sites. So my response is continuous (bat passes) my predictors fixed effects are continuous (height metres), width (metres) etc and the random ef

Re: [R] Mixed models quantile regression

There is no generally agreed upon notion of random effects for quantile regression applications. Insofar as one is willing to accept the idea that random effects are just "shrunken fixed effects" one can consider similar schemes in the QR context; one such is described in “Quantile Regressio

Re: [R] Mixed models

I believe that glmm.admb relies on the proprietary software ADMB. If so, your question is inappropriate for this list which is for discussion and assistance regarding the open source and freely available software R. There are ways of fitting a generalized linear mixed model in R, in particular th