similar to: nlme : convergence problem and other errors

On Fri, Aug 14, 2009 at 03:25:08AM -0400, Lanny Baron wrote: > I am logged into this ubuntu box as lnb, uid=1000(lnb) gid=1000(lnb) > groups=1000(lnb),4(adm),20(dialout),24(cdrom),46(plugdev),50(staff),106(lpadmin),121(admin),122(sambashare) > The perms on the dirs are: > > drwxrwxr-x 41 root staff 4096 2009-07-21 03:32 /smb > > drwxrwxr-x 8 lnb staff 4096 2009-08-13 14:16

My network looks like this: internet 192.168.0.0/24 router ----+----+----+----- internal 192.168.5.0/24 | | | router ----+-----+------+- LNB--->mswin | | (also a | | | client | | samba | | .... | | server) | | samba | | samba

My network looks like this: internet 192.168.0.0/24 router ----+----+----+----- internal 192.168.5.0/24 | | | router ----+-----+------+- LNB--->mswin | | (also a | | | client | | samba | | .... | | server) | | samba | | samba

Hi R bayesians, I need an advise how to resolve the two different estimates applying a traditional glm (TG) and a bayes glm (BG), and different results depending on the data formats of response data and the prior specs using bayesglm in R. I'm not familiar with bayes estimate and my colleague asked me to look into this because the EPA from France reported a quite different estimates for

Dear R users, I think i have a simple question which i want to explain by an example; i have several 2-digit industry codes that i want to use for conducting by-industry analysis but i think there is a problem with the degrees of freedom! for example, when i do my analysis without any 2-digit industry code, i got the following summary (i have 146574 observations in total): >

Hello, I use rsync for incrmental backups in the following way: rsync \ $EXCLUDE \ -e ssh \ --archive \ --numeric-ids \ --compress \ --relative \ --one-file-system \ --cvs-exclude \ --delete \ --delete-excluded \ --bwlimit=0 \ --backup \ --suffix='' \ --backup-dir=$BACKUP_ROOT/$BACKUP_HOST/${TODAY} \ $BACKUP_HOST_AND_PATH

Thank you for your advice, ill try to be more explicit now, i wasnt in the first mail because i thought it is a simple question to answer, so; i have a panel data which contains 48858 observations during 3 year therefore, there are 146574 observations in total, i have 22 different industries defined by 2-digit codes such as 11, 13,14,16...40 therefore, ind_2d contains 22 2-digit codes for

Hello, On a Server running FreeBSD 4.6-STABLE, I have a script which runs from a crontab. The problem I am encountering is as follows: opening connection using ssh zing.crosswind.net rsync --server --sender -vvvlogDtprz . /etc/raddb/users Aborted by user! rsync: connection unexpectedly closed (0 bytes read so far) rsync error: error in rsync protocol data stream (code 12) at io.c(150)

Hi, I am using the uniroot function in order to carry out a bivariate Monte Carlo simulation using the logistics model. I have defined the function as: BV.FV <- function(x,y,a,A) (((x^(-a^-1)+y^(-a^-1))^(a-1))*(y^(a-1/a))*(exp(-((1^(-a^-1)+y^(-a^-1))^a)+y^-1)))-A and the procedure is as follows: Randomly generate values of A~(0,1), y0 = -(lnA)^-1 Where: A=Pr{X<xi|Y=yi-1} and a is the

From: saint-filth@hotmail.com To: saint-filth@hotmail.com Subject: RE: Date: Wed, 9 Jun 2010 09:53:20 +0000 OK! sorry thats my fault, here the translations of the stata commands 1st step is to get the mean values of the variables, well that doesnt need explanation i guess, 2nd step is to estimate the model on panel data estimation method which is:

Hi, I am sending my application I submitted for the GSoC. There are still some hours left before the deadline, so if you have any remarks or a tip, I can still update it. thanks... i think there are some grammatical errors =(... == Name and Contact details == Andr? Luiz Nazareth da Costa Primary e-mail: andre.lnc@gmail.com Secondary e-mail: andre.lnc@lsc.ic.unicamp.br Gtalk:

HI everyone, I'm plotting a histogram in R and within that histogram i need to demonstrate the percentage of another variable (Percentage of MutStatus) within the bins plotted inthe histogram....I don't know how to do that! Data:Validation_Status Mutation_Status TvarRatio Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.080139373 Wildtype None

Dear all, I need to use R for one estimation, and i have readily available stata command, but i need also the R version of the same command. the estimation in stata is as following: 1. Compute mean values of relevant variables . sum inno lnE lnM Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------

Hi, The Integration with LEON (first part of my GSoC) is completed. http://atlas.lsc.ic.unicamp.br/~andre.lnc/theora_integration_with_leon3_full.png At the last week I had (leon3 + linux + libtheora) and (leon3 + send_vector_of_input + theora hardware) working ok. Firstly, I thougth that it just would be: http://atlas.lsc.ic.unicamp.br/~andre.lnc/theora_integration_with_leon3.png But it

Hello, I have a bigger problem in calculating the Maximum Likelihood Estimator regarding the degree of freedom of a multivariate skew-t copula. First of all I would like to describe what this is all about, so that you can understand my problem: I have 2 time series with more than 3000 entries each. I would like to calculate a multivariate skew-t Copula that fits this time series. Notice:

Thanx for your response, yeah, i know i didnst specified the indexes when i wrote the 2nd mail, in fact in the 1st mail i wrote already that i dont have problem with the estimation of the model... thats the reason why i didnt write in fact since the issue is not to estimate the model but to get the marginal effect, anyway, i figured out that predict(), doesnt work for panel data... and well, my

Hi, running the following code by itself runs as expected. ---------------------------------------------------------------------------- k <- 1 i <- 2 j <- 3 NumName <- varnames[num.cols[k]] FacNames <- varnames[fac.cols[c(i,j)]] tmp <- paste(FacNames[1],NumName,sep="~") fml <- formula(paste(tmp,FacNames[2],sep="|")) bwplot(fml, data

Hello everyone, I have a peoblem to create the twoways effect in the plm package. when i try to create the following dsn1<-plm(lnQ~lnC+lnL+lnM+lnE+eco+RD,data=newdata,effect="twoways",model="within") i have this error: Error in rep.int(c(1, numeric(n)), n - 1L) : negative length vectors are not allowed and to be honest i have no idea what does it mean!! can someone

hi, i am writing my master thesis and i am dealing with 146474 observations (panel data), i have just learned the R so i am a beginner!! i am trying to use the "plm" package and i have a duplication problem; i have written the following commands to read my data and create my model >dsn<-plm.data(ds, c("stno", "year")) ds=name of my data, stno=individual

Hi Dimitri, Thanks for help, i knew that way that you have suggested but in fact my case is a little bit complicated than this, therefore, i am writing a better explanation now, my model is trying to see the effect of eco-innovative industries on total output, thats why i am trying to estimate by-industry regression: the model is lnQ~lnC+lnM+lnL+lnE+eco_inno+inno+(sum)ind_3d capital,material