similar to: Convergence and singularity in glmmPQL

Greetings. I'm running some models under R using glmmPQL from MASS. These are three-level models (two grouped levels and the individual level) with dichotomous outcomes. There are several statistics of interest; for the moment, I have two specific questions: 1.) This question refers to the following model (I present first the call, then the output of summary():

Can anyone shed any light on this? > doubt.demographic.pql<-glmmPQL(random = ~ 1 | groupid/participantid, + fixed = r.info.doubt ~ + realage + minority + female + education + income + scenario, + data = fgdata.df[coded.resource,], + na.action=na.omit, +

For an analysis of data from twins, I'd like to do some rearranging in my dataframe. Currently, each twin has his or her own row. I'd like to add several columns of the co-twin's data to each row. In other words, this is the current situation: FamilyID ParticipantID IQ Digit_span 1 1 95 6 1 2 93 7 2 3 102 8 2

Hello, I would like to work with Orange as part of GSoC 2012(and continue henceforth). Apologies for joining in a bit late- i was waiting to get a proper grasp of things before discussing it here. Currently I am a Masters students in Mathematics with my bachelors in Computer Science[integrated dual degree]. Over the last year and a half, I have worked on a few ML projects and have a couple of

Is anyone using R with postgres? I'd like to do so, but cannot seem to find any reasonable explanation of how to do so. Joshua Gramlich Chicago, IL

> -----Original Message----- > From: Esben Stien [mailto:b0ef@esben-stien.name] > The other problem is the issue that free software developers are > mostly (in my experience) not happy with the fact that their code > would be used in proprietary software. It conflicts with the whole > religion of free software. Well, yeah, that's the whole problem, isn't it? You

I have an issue with W2K/XP using Folder Redirection to a Samba homes share (or any share for that matter). This is only a problem when access for a user is via an ACE (ACL) and not the traditional file system permissions. So for example (user is cath in this example): [root@gandalf users]# ll -d cath drwxrwx---+ 5 root root 4096 Apr 15 20:40 cath [root@gandalf users]# getfacl cath # file: cath

Hi, I am running a logistic regression model and then cross-validating it. But, 10-fold cross validation returns with following error message. "Divergence or singularity in 5 samples" Actually, I tried reading definition of divergence and singularity, but could not understand it in context of my error. Could some one please explain it to me in simpler words. This also begs another

Dear R, If I have remembered correctly, a square matrix is singular if and only if its determinant is zero. I am a bit confused by the following code error. Can someone give me a hint? > a <- matrix(c(1e20,1e2,1e3,1e3),2) > det(a) [1] 1e+23 > solve(a) Error in solve.default(a) : system is computationally singular: reciprocal condition number = 1e-17 Thanks in advance! Feng --

I am posting this here because the other posters in AppDB say the game works fine. For me, the video is slow and jerky, not playable at all. System: Dell XPS630 q9550 dual core-2, 8gm RAM, 2x NVIDIA 9800GT, lots of disk space (meets all system requirements) kUbuntu-10.04, all current updates, nvidia 195.36.24 driver. Have tried kde, gnome, and lxde desktops (compositing disabled), same problem in

Have you tried setting linux capabilities, like NET_BIND_SERVICE,CHOWN,SYS_CHROOT,SETGID? Have you checked the permissions of paths? I had to relocate the run dir with things like these && mkdir /var/dovecot \ && mkdir /var/lib/dovecot \ && (umask 027 ; mkdir /var/dovecot/login) \ && (umask 022 ; mkdir /var/dovecot/empty) \ && (umask

Hi all, When using lm to model a response with 8 explanatory variables, one of the variables is not defined due to "singularities". I have checked the csv file from which the data come, there are no na's in the dataset, etc. What should I be looking for in this variable to correct the problem? Thanks for any help. Robin Williams Met Office summer intern - Health Forecasting

I have two specific questions regarding the output of lda function in MASS. #Question1: #========= n: sample size, p: number of variables Some articles in the literature say that LDA is singular for p > n-1. However, my experimentation with lda (default arguments) for two class problems shows collinearity for p > n-2. Does anyone know why this is the case? Does lda (MASS) use a different

Dear Sir or Madam: I am Shaojuan Liao, the 3rd year Ph.D. student from Econ Department, Virginia Tech. I don't know whether it is appropriate to ask you questions on the command pgmm. But I don't know how to deal with the case where all X are exogenous and all T time periods' X can be used as the instrument. Problem 1: I know when X are predetermined, such as Z=[y1,X1,X2, 0,

I'm using R 2.10.1 with the latest version of all packages (updated today). I'm confused as to why I'm getting a hard singularity in a simple set of experimental data: > blots ID Lot Age Conc 1 1 A 3 4.44 2 2 A 3 4.56 3 3 B 41 4.03 4 4 B 41 4.57 5 5 C 229 4.49 6 6 C 229 4.66 7 7 D 238 3.88 8 8 D 238 3.93 9 9 E 349 4.43 10 10 E 349

Hi, I am hoping some one can help with this. I am using nlme to fit a random coefficients model. It ran for hours before returning Error: Singularity in backsolve at level 0, block 1 The model is > plavix.nlme<-nlme(PLX_NRX~loglike(PLX_NRX,PD4_42D,GAT_34D,VIS_42D,MSL_42D,SPE_ROL,XM2_DUM,THX_DUM,b0,b1,b2,b3,b4,b5,b6,b7,alpha), + data=data, + fixed=list(b0 +

Hi, I just came across the following issue regarding mixed effects models: In a longitudinal study individuals (variable ind) are observed for some response variable. One explanatory variable, f, entering the model as fixed effect, is a (2-level) factor. The expression of that factor is constant for each individual across time (say, the sex of the individual). ind enters the model as grouping

Hi all I'm facing an issue while running dovecot inside a singularity (https://sylabs.io/singularity/) container dovecot version is 2.3.4.1 (configuration below) running on debian buster, inside a container made with singularity version 3.4.2 unfortunately, when I try to start dovecot, it gives: Singularity test.sif:~> cat /var/log/mail.log Dec 30 17:23:38 testnode dovecot: master:

Hallo! I have a problem with fitting data with nls. The first example with y1 (data frame df1) shows an error, the second works fine. Is there a possibility to get a fit (e.g. JMP can fit also data I can not manage to fit with R). Sometimes I also got an error singularity with starting parameters. # x-values x<-c(-1,5,8,11,13,15,16,17,18,19,21,22) # y1-values (first data set)

R friends, In a matrix of 1s and 0s, I'm getting a singularity error. Any helpful ideas? lm(formula = activity ~ metaF + metaCl + metaBr + metaI + metaMe + paraF + paraCl + paraBr + paraI + paraMe) Residuals: Min 1Q Median 3Q Max -4.573e-01 -7.884e-02 3.469e-17 6.616e-02 2.427e-01 Coefficients: (1 not defined because of singularities)