similar to: Lme4 error

What??s happening with this following code: require(sem) Celpe.Mod.RAM <- matrix(c( # path parametro Inicio "Produ????o -> T1", "gamma.11", NA, "Produ????o -> T2", "gamma.12", NA,

Hi, all. I'd like to know if exists a manner to get the first index where a condition is attained in a vector. For example, There is a better solution than first.index <- table(subject[corretor==27])[1] (give me the subject for the first time that corretor is 27)? Thanks, ======================================== Cezar Freitas (ICQ 109128967) IMECC - UNICAMP Campinas, SP - Brasil

Hi. I have the following controller of the update action: [code] def update @projeto = Projeto.find(params[:id]) if (@projeto.update_attributes(params[:projeto])) ## Mesmo raciocínio utilizado no create. @permissaoA = Permissao.find(:first, :conditions => ["usuario_id = ?", @projeto.responsavel.to_i]) @permissaoAvancado1 = Permissao.find(:first, :conditions

Hi I'm using lme4 to do random effects modelling. I keep getting the following error message: Error in "EMsteps<-"(*tmp*', value = control) : invalid source matrix I get the error when I include more than one random effect in the model, sometime I'm able to get two. I've looked into the variables that cause the problems aren't highly correlated,

I have MS AD DC running Windows Server 2008 R2 and I decided to use samba 4 Version 4.1.6-Ubuntu as Domain Controller Member but I've had some problems with Web Access RemoteApp when the TS uses samba as logon server, the logon account fail, see below: Nome do Log: Security Fonte: Microsoft-Windows-Security-Auditing Data: 06/11/2014 08:08:08 Identifica??o do Evento:4625

Hello R users, I'm trying to do simulations for comparing cox and weibull I have come across this problem: Warning messages: 1: In survreg.fit(X, Y, weights, offset, init = init, controlvals = control, : Ran out of iterations and did not converge 2: In survreg.fit(X, Y, weights, offset, init = init, controlvals = control, : Ran out of iterations and did not converge what i did is

On 9.7.2019 13.40, Aki Tuomi via dovecot wrote: On 9.7.2019 12.54, Claudio Prono wrote: On 4.7.2019 19.00, Claudio Prono via dovecot wrote: Sorry to bother again, but the problem persist. I have checked all the configurations of dovecot, and seems all ok, but randomly the segfault pops up again, without no apparently reason. My packages are: ii dovecot-core

Dear All, I am doing a parametric survival analysis with: fit <- survreg(Surv(xyz$start, xyz$stop, xyz$event, type="interval") ~ 1, dist='loglogistic') At this point I do not want to look into covariates, hence the '~1' as model formulation. As event types I have exact, interval, and right censored lifetime data. Everything works fine. For reasons that are

Dear R users: I am using survreg for modeling left censored longitudinal data. When I am using the following code for fitting the tobit model I am getting some output with an warning message(highlighted with red color): > survreg(Surv(y, y>=0, type='left')~x + frailty(id), cytokine.data, weight=w, dist='gaussian', scale=1) Call: survreg(formula = Surv(y, y >= 0, type

Hello, I am using survreg for a simulation where data is randomly generated from a Weibull distribution and the model parameters estimated. When this is embedded within a loop and the process repeated for different datasets, the program aborts after a few runs in most cases giving the following message: Error in survreg.fit(X, Y, weights, offset, init = init, controlvals = control, :

Onderwerp: RE: [Samba] Samba is not starting automatically on boot, installed on Ubuntu Forgot to mention. Disable these settings and samba starts on boot. interfaces = lo eth0 bind interfaces only = Yes Louis >-----Oorspronkelijk bericht----- >Van: belle at bazuin.nl [mailto:samba-bounces at lists.samba.org] >Namens L.P.H. van Belle >Verzonden: donderdag 6 september 2012

Hi, I'm trying to fit a tobit regression model to some data. When fitting the exact same data in Stata, I have no problems at all, however R won't converge. Its not a maxiters thing, since I've tried increasing this already. I need to be able to fit the model in R since there are users of the code that don't have a Stata license. The code is: require(AER) left = 3.218476 x =

Sorry for the misspelling... Thanks for the replies. I will set it up and start playing. This is all very exciting. I've been using VoIP as my primary phone but this is going a bit further. At the office we have a T1 that is probably fairly dead after hours. Supporting 5-10 users should be fine I'd imagine. I've read 1 VoIP connection uses about 64kbps or 8KB/s? So...

Dear all, I have a set of x,y,z points obtained from a lizard species and now I would like to estimate the three-dimensional use of space for this species. I know that 2D area I can estimate using adehabitat packages, but I don´t know how to estimate the volumetric space. Any help are welcome. Miltinho Brazil [[alternative HTML version deleted]]

Dears I am searching information about how to use raw data, when it is used, didn't find to much information on R help. Any suggestion on links about this theme? atte -- Luis Iván Ortiz Valencia Doutorando Saúde Pública - Epidemiologia, IESC, UFRJ Estatístico Msc. Spatial Analyst Msc. [[alternative HTML version deleted]]

Dear all, I'm working with count data following over-dispersed poisson distribution and have to work with mixed-models on them (like proc GENMOD on SAS sys.). I'm still not to sure about what function to use. It seems to me that a glmmPQL will do the job I want, but I'll be glad if people who worked on this type of data can share what they learned. Thanks for your time. simon

lo que necesito es "98989","121212" y no : paste(unlist(strsplit(char,",")),collapse=",") [1] "98989,121212" Luis -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- Luis Ridao Cruz Faroe Marine Research Institute Nóatún 1, P.O. Box 3051 FO-110 Tórshavn Faroe Islands Tel : (+298) 353900 Fax: : (+298) 353901 e-mail: luisr@hav.fo

Hi there Please excuse this elementary question, but I have been fumbling with this for hours and can't seem to get it right. I have a nested anova, with random factor "lakefac" nested within factor "fishfac" (fixed), with an additional fixed factor "Habfac". If I consider everything as fixed effects, it's addmittedly not the correct model, but I can at

Hello everyone I am trying to fit an ordered probit/logit model for bank rating prediction. Besides polr() in MASS package which is not written especially for this as far as I know, do you know how else I can do this? I already found the modified polr () version on the Valentin STANESCU Enrst and Young Tel. 402 4000 ---------------------------------------------------------- The information

*Hi, I want to know how can I configure R in a Ubuntu to be a server. I am planning to use R in a Windows machine with Tinn-R, but I want R running at an Ubuntu Lucid machine. How can i do this? *Atenciosamente, Leandro Marino http://est.leandromarino.com.br/Blog (Estatístico) Cel.: + 55 21 9845-7707 Cel.: + 55 21 8777-7907 [[alternative HTML version deleted]]