similar to: ver 2.11.1 from xterm on Mac without lme4

Hi all, I have a problem with package installing in Windows, on my PC machine. The end goal is to be able to use the lme() function. Here's what I did so far: > install.packages("lme4") Warning in install.packages("lme4") : argument 'lib' is missing: using 'C:\Users\Angela\Documents/R/win-library/2.9' --- Please select a CRAN mirror for use in this

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 the following error model1<-lmer(Cmic~1+(1|FOREST/DEPTH),data=DATOS,family=Gamma) Error en

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 of a species (PRES) at these random sites (SITE) using a number of predictor variables. The

Dear all R-users, When I install the package "lme4" in R-2.11.1, and use it to run the simulation on the Linux system, it appears the following problem. Attaching package: 'lme4' The following object(s) are masked from 'package:stats':     AIC Error in names(argNew)[1] <- names(formals(new))[[1]] :   replacement has length zero Calls: initial ... lmerFactorList

Hello UseRs, I've just tried to load the lme4 package and got the error message, "function 'cholmod_l_start' not provided by package 'Matrix'". I downloaded the latest version of lme4 and its required packages (lattice and Matrix) as suggested in the archives and still got this message. The FAQ and archives suggested to check the R version requirements, but I'm

Dear R and lme4 users- I am trying to fit a mixed-effects model, with the glmer function in lme4, to right-skewed, zero-inflated, non-normal data representing understory grass and forb biomass (continuous) as a function of tree density (indicated by leaf-area). Thus, I have tried to specify a Gamma distribution with a log-link function but consistently receive an error as follows: >

[Mod: forwarded from BUGTRAQ -- alex] ---------- Forwarded message ---------- Date: Sun, 6 Jun 1999 19:15:05 +0000 From: noc-wage <wage@IDIRECT.CA> To: BUGTRAQ@NETSPACE.ORG Subject: RedHat 6.0, /dev/pts permissions bug when using xterm Once again I''ve come up with another trivial Denial of Service flaw, (wow, I seem to be good at this Conseal Firewall, +++ath0, ppp byte-stuffing)

Hello, I am trying to use lmLists in the lme4 package and copying over very standard code from the nlme package given in 'Mixed-Effects Models in S and S-Plus'. It appears to not accept an 'I(age-11)' in the formula, though it will accept the formula with out the subtraction of 11 from age. This seems like it would be a bug, since this is standard formula syntax, unless

Dear all, Can anyone help me, my R software can not run a nested linear regression by using the lme funcion. The message that appears is  Error: could not find function "lme" I already downloaded and loaded the package, please see below. Thank you in advance for any help! Nadia. > data<-read.csv("/Users/nadiasan1/Desktop/MOE and MOR.csv")> attach(data)>

Hi R Users, When I use package lme4 for mixed model analysis, I can't distinguish the significant and insignificant variables from all random independent variables. Here is my data and result: Data: Rice<-data.frame(Yield=c(8,7,4,9,7,6,9,8,8,8,7,5,9,9,5,7,7,8,8,8,4,8,6,4,8,8,9), Variety=rep(rep(c("A1","A2","A3"),each=3),3),

Hi everybody! I was using the function pvals.fnc from package 'languageR' until April. I do not know which version. Yesterday I updated all my packages and tried to run my loop again. Now I get the following error message: error in pvals.fnc(mm, nsim = 1000) : MCMC sampling is not yet implemented in lme4_0.999375-27 for models with random correlation parameters I guess it?s because of

Hello, R community, I have been using the lmer and mcmcsamp functions in R with some difficulty. I do not believe this is my code or data, however, because my attempts to use the sample code and 'sleepstudy' data provided with the lme4 packaged (and used on several R-Wiki pages) do not return the same results as those indicated in the help pages. For instance: > sessionInfo() R

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 ‘lme4’ is not available The session info is: > sessionInfo()

Dear colleges, I would like to use the lmList function. I have installed the lme4 library but when I try to use the lmList function I get this error message. Error: could not find function "lmList" Here you can see what kind of messages I am getting when installing lme4 package. Does anyone know how to solve this problem? Thanks Rosario > install.packages() --- Please select a

I feel like Marlon Brando in "On the Waterfront" where he's told "It's not your night, kid", except for me it has been the last two months trying to debug memory problems. Now I can't even install an old version of this package on a netbook running the Ubuntu 10.10 netbook remix because it can't find the libraries libf77blas and libatlas. I have even gone to

Hi Everyone, I am using R 2.10.1. lmer function works properly, however pvals.fnc () does not despite the fact that I uploaded: - library(lme4) - library(coda) - library(languageR) This is the error message I get pvals.fnc(lexdec3.lmerE2, nsim=10000)$fixed Error in pvals.fnc(lexdec3.lmerE2, nsim = 10000) : MCMC sampling is not yet implemented in lme4_0.999375 for models with random

Below is an example of a problem I encounter repeatedly when I write functions. A call works at the command line, but it does not work inside a function, even when I have made sure that all required variables are available within the function. The only way I know to solve it is to make the required variable global, which of course is dangerous. What is the elegant or appropriate way to solve

Daniel, thanks for the test case. I did run it in valgrind but nothing showed up, however ... I'm starting to have a suspicion that this has something to do with identical() - look at this: > identical(M1,M2) [1] FALSE > all(serialize(M1,NULL)==serialize(M2,NULL)) [1] TRUE > identical(unserialize(serialize(M1,NULL)),unserialize(serialize(M2,NULL))) [1] FALSE >

? Sat, 15 Jun 2024 02:04:31 +0000 "Therneau, Terry M., Ph.D. via R-devel" <r-devel at r-project.org> ?????: > other attached packages: > [1] lme4_1.1-35.1 Matrix_1.7-0 I see you have a new Matrix (1.7-0 from 2024-04-26 with a new ABI) but an older lme4 (1.1-35.1 from 2023-11-05). I reproduced the crash and the giant backtrace by first installing latest lme4 and then

I am trying to duplicate the example by Spencer Graves in the wiki, using lmer with the Nozzle data. http://wiki.r-project.org/rwiki/doku.php?id=guides:lmer-tests However the Chisq value and the fitAB values that are calculated are different compared to those in the example. I also get a warning message when I attempt the fitAB. Does anyone have any guidance as to why this might happen and how