similar to: lme model: Error in MEEM

I have own function wrote. I used an algorithm, which was written in Matlab. in matlab: ... gamma = inv(v)*g; ... #v = matrix of variable size, v=vv(k) => k=2 => dimension of v 2x2 #g = a line vector with 4 elements e.g. g=[1,0,2,0]; my rewritten r-file: ... gamma = solve(v)*g; ... which is my error? Who can help me? thank you in advance. Chris -- Lust, ein paar Euro nebenbei zu

Dear all, I am an active FLAC user and like the program a lot! Thanks for your great work. Since I am not a developer I cannot modify the program on my own. Maybe you might be interested in features I would find useful. Maybe others find them interesting as well and you find the time to implement them. 1. Add encoder options: a) Skip silence (leading and ending) would give the option to skip

hi guys ! I have following problem (using pxelinux) I can't boot from my harddrive (netboot works just fine) i conwert my IPadress (with gethostip) and create a configfile like this: -----------C0A80001(192.168.0.1)---------- localboot 0 ----------------------end----------------------- at first te client looks for MAC and then for C0A80001 then i get following: Could not find kernel image:

after installation brockhaus needs to be running first localy where the .exe reside under /.wine/windows/Programme. Furthermore after starting, the installation needs to be running from cdrom or dvd where the dates are. For that reason may a sricpt will help. But I'm not very familar with that. May someone could help my with scripting if it's even necessary. Please note, although the link

Some of my programs need to be starting from cdrom or dvd after execution of the local .exe from harddisc. How is the proceeding to achieve a running program from cdrom/dvd? The link from .wine/windos/dosdevices to the cdrom and dvd is already established and works. May it's necessary to write a shell script to run after start from cdrom/dvd. On the other hand, may it would help to make a copy

I vote for #2. I don't see the options in #1 as strictly going with the philosophy of FLAC being a lossless codec although neither one seems like a bad idea if implemented properly. More generally part b of #1 would allow you to select any channel(s) from a source and just encode those channels. For example you may want to encode only 3 channels of a 4 channel source or 5 of 8 or 1 of 8,

I am trying to run a GLMM on some binomial data. My fixed factors include 2 dichotomous variables, day, and distance. When I run the model: modelA<-glmmPQL(Leaving~Trial*Day*Dist,random=~1|Indiv,family="binomial") I get the error: iteration 1 Error in MEEM(object, conLin, control$niterEM) : Singularity in backsolve at level 0, block 1 >From looking at previous help

Gidday everbody, We have just found an interesting issue regarding the sshd daemon on our SuSE system. For some reasons, the /usr/sbin/sshd process blocks SIGALRM as shown in the /proc/pid/status: $ cat /proc/`cat /var/run/sshd.init.pid`/status Name: sshd State: S (sleeping) SleepAVG: 0% [...] SigPnd: 0000000000000000 ShdPnd: 0000000000000000 SigBlk: 0000000000002000 <-- SIGALRM is

Dear all, In lme, models in which a factor is fully "contained" in another lead to an error. This is not the case when using lm/aov. I understand that these factors are aliased, but believe that such models make sense when the factors are fitted sequentially. For example, I sometimes fit a factor first as linear term (continuous variable with discrete levels, e.g. 1,2,4,6), and

Hello everyone: It's the first time I write to this mailing list. Sorry in advance if my doubt has already been posted before, but I have been checking the archives and I haven't been able to find anything satisfactory. I am running a mixed effects model with nested effects (site and pair, referred to barn swallow nests located in different places in different farms). My dependent

Dear R-ers, I am having trouble understanding why I am getting an error using glmmPQL (library MASS). I am getting the following error: iteration 1 Error in MEEM(object, conLin, control$niterEM) : Singularity in backsolve at level 0, block 1 The long story: I have data from an experiment on pairwise comparisons between 3 treatments (a, b, c). So a typical run of an experiment

I have the following code: ----------------------------------------------------------------------------------------------------- result <- matrix(NA, nrow=1, ncol=5) for(i in 1:(nsnp-1)) { for(j in (i+1):nsnp){ tempsnp1 <- data.lme[,i] tempsnp2 <- data.lme[,j] fm1 <- lme(trait~sex+age+rmtemp.b+fc+tempsnp1+tempsnp2+tempsnp1*tempsnp2, random=~1|famid, na.action=na.omit) fm2 <-

Hi all, I'm having some difficulty with lme. I am currently trying to run the following simple model anova(lme(x ~ f1 + f2 + f1:f2, data=m, random=~1|r1)) Which is currently producing the error Error in MEEM(object, conLin, control$niterEM) : Singularity in backsolve at level 0, block 1 x is a numeric vector containing 194 observations. f1 is a factor vector containing two levels, and

Dear R-help, Why can't lme cope with an incomplete whole plot when analysing a split-plot experiment? For example: R : Copyright 2006, The R Foundation for Statistical Computing Version 2.3.1 (2006-06-01) > library(nlme) > attach(Oats) > nitro <- ordered(nitro) > fit <- lme(yield ~ Variety*nitro, random=~1|Block/Variety) > anova(fit) numDF denDF F-value

Hi R-experts, I have a problem using nlme. I use the following code to group my data: Parameterg <- groupedData( result ~ time | Batch, data = Batchdata, labels = list( x = "Time", y = "analysis") ) and then uses the nlme function to fit a nonlinear mixed model that includes Process as a fixed covariate: nlme.model001epr <- nlme(result ~ A0 * exp(- ( exp(A1)

Hi R-masters I read the article: Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. In this paper i proposed a bivariate mixed model and use SAS proc mixed to adjust the estimates. I thinks use R to make the same and try with this code: base<-read.csv("base.csv") adj<-.5 attach(base) sens<-(VP+adj)/(VP+FN+2*adj)

Hello I have a problem getting the program Voice of Japan to work: I have copied the MFC42.dll and the MFC40.dll from Windows in the apps directory but now i get the following console output: fixme:ole:CoRegisterMessageFilter stub fixme:ole:OleLoadPictureEx (0x41bb1eec,6582,1,{7bf80980-bf32-101a-8bbb-00aa00300cab},x=0,y=0,f=0,0x406df988), partially implemented. fixme:ole:OleLoadPictureEx

Dear lme and lmer -ers, I have some problems using "home-made" contrast matrix in lme and lmer. I did an experiment to investigate the relationship between the response of an animal and some factors, namely the light wavelength (WA), the light intensity to which this animal was exposed and the sex of the animal tested. - The response can be a variable LA (normal distribution) or

Dear R users, I have a problem with something called "NaNs" in a nested mixed model. The background is that I have studied the number of insect nymphs emerging from replicated Willow genotypes in the field. I have 15 replicates each of 4 Willow genotypes belonging two 2 Willow species. Now I want to elucidate the effect of Willow genotype on the number of emerging nymphs. Previously I

Dear R users, I have a data structure as follows: id two res1 res2 c1 c2 inter 1 -0.786093166 1 0 1 2 6 3 -0.308495749 1 0 0 1 2 5 -0.738033048 1 0 0 0 1 7 -0.52176252 1 0