similar to: samba 3.0.10 is mult task

Hi Neo I installed the samba 3.0.23.d, because I thought that it is a """""stable version""""", but the problem continued. Same error, same problem: "smbd/sesssetup.c:setup_new_vc_session() setup_new_vc_session: New VC == 0, if NT4.x compatible we would ". I tried to use your command: "/usr/local/samba/sbin/smbd -V Version 2.2.08a

Hi , I need to do my user_windows "eng.processo" to acess my unix solaris 2.x as user_unix "cs02929". As like indicate, I create in "global" of file "smb.conf" the command: username map = /etc/smbusers and into the file /etc/smbuser, the command: cs02929 = "eng.processo". This it don?t work. Please, what do I do to this work? Do I forgot

Hi, I am buying a server SUN with 4 processor and work with "solaris 10", and I am going to install "samba-3.0.10-sol10-sparc-local.gz". Please: I would like to know if this version of samba is multi task (work with more one processor) or if all "sons trials work in only one processor) Thank you for answer Alexandre Salom?

I need of helps for do backup of a server windows2000(english). In the files accentuated, presents to following message: ERRDOS - ERRbadfile (File not found.) opening remote file \f\adm\Arquivos diversos e tempor rios\Tabela Master de Importaao.xls (\f\adm\Arquivos diversos e temporarios\ They are more of 60 pages with this message. When I rename the name of the file to without accent, it

Hi all (and especially Frank), I'm trying to use x=T, y=T in order to run a validated stepwise cox regression in rsm, having multiply imputed using mice. I'm coding model.max<-fit.mult.impute(baseform,cph,miced2,dated.sexrisk2,x=T,y=T) baseform is baseform<-Surv(si.age,si=="Yes")~ peer.press + copy.press + excited + worried + intimate.friend + am.pill.times +

Hi , Today I have the following sharing in "Samba version 2.2.12 for Solaris 2.9": [produto] write cache size = 384000 comment = AREA DE DADOS DE PRODUTO path = /usr/produto read only = No valid users = @produto where exists the users cs02929 pertaining to the group @produto. And everything

Is there a way to map NT names to UNIX names when they are not the same. 95% of our are which is great but we have a few that are different. For example, we have NT user "bigboy" who's Unix account is "smallboy", how can I make an association, oh learned 1's. Thanks, Jon :-) agere systems Office 651-675-3064* 1230 Northland DriveF Cell Phone

Good morning, I have two problems and I would like know if you can help me: 1- I have a printer "plotter-A0" installed in a windows98. There isn?t driver for this printer in the unix (solaris2.x). I would like to create a spool to this printer by the "admintool" but it left from the impression calls this printer automatically in the windows. It?s possible? 2- Every times

Hi, this is a ploblem? (of /usr/local/samba/lib/var/log/log.xxxxxx) 2002/11/21 17:41:02, 0] smbd/nttrans.c:(1762) call_nt_transact_ioctl: Currently not implemented. 2002/11/21 17:41:06, 0] smbd/reply.c:(888) restrict anonymous is True and anonymous connection attempted. Denying access. <<...OLE_Obj...>> , Atenciosamente Alexandre Salom? Comau System _ Sistemas Engenharia tel:

Faraway's book titled "Practical Regression and Anova using R", with full text available online at: http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf refers to a data set, stat500, which compares midterm and final grades. It can be used to illustrate similar concepts. A google search for faraway.zip will locate the actual data. --- Date: Sun, 15 Feb 2004 10:37:08 -0800

Martin, I have an objection in principle to anything that has the side-effect of clobbering something in the global environment, even something as innocuous looking as "old.par". I certainly object to putting something like that into a public library, however clever and useful the code might be. It just is not safe. As a quick way round this I suggest the following (R only) solution:

No big surprise there. :) I'm still trying to figure exactly what goes on with the machine password changing around. Who initiates this? nmbd? The PDC? Who's notified of this change, and what's going on there. Perhaps someone can shed some light? -- Nir Soffer -=- Software Engineer, Exanet Inc. -=- "Father, why are all the children weeping? / They are merely crying son O, are

I have a largish dataset (1025) with around .15 of the data missing at random overall, but more like .25 in the dependent variable. I am interested in modelling the data using quantile regression, but do not know how to do this with multiply imputed data (which is what the dataset seems to need). The original plan was to use qr (or whatever) from the quantreg package as the 'fitter'

Hello, I would like to use the aregImpute and fit.mult.impute to impute missing values for my dataset and then conduct logistic regression analyses on the data, taking into account that we imputed values. I have no problems imputing the values using aregImpute, but I am getting an error at the fit.mult.impute stage. Here is some sample code (I actually have more observations and variables to

The enclosed zip has some test files for both LLVM and Clang, to go along with the last mult-alt patch I submitted to the list. You'll note that some of the code is commented out for various problems not directly related to the mult-alt stuff. Though I worked on some additional versions for platforms not included here in the LLVM tests, they have various problems with the lowering, but which

I have fitted a proportional odds model, but would like to compare it to a continuation ratio model. However, I am unable to fit the CR model _including_ imputated data. I guess my troubles start with settuping the data for the CR model. Any hint is appreciated! Christian library(Hmisc) library(rms) library(mice) ## simulating data (taken from rms::residuals.lrm) set.seed(1) n <- 400 age

Dear all, I used fit.mult.impute in Dr. Harrell's Design package to fit a cox ph regression model on five imputed datasets, where all missing predictors were filled by multiple imputation using R package Mice. Are there any functions able to do bootstrapping or cross-validation for the aggregated model? I tried function 'validate' and 'calibrate' in Design package, but

I have always avoided missing data by keeping my distance from the real world. But I have a student who is doing a study of real patients. We're trying to test regression models using multiple imputation. We did the following (roughly): f <- aregImpute(~ [list of 32 variables, separated by + signs], n.impute=20, defaultLinear=T, data=t1) # I read that 20 is better than the default of

Hi! Does anyone know how to do the test for goodness of fit of a logistic model (in rms package) after running fit.mult.impute? I am using the rms and Hmisc packages to do a multiple imputation followed by a logistic regression model using lrm. Everything works fine until I try to run the test for goodness of fit: residuals(type=c("gof")) One needs to specify y=T and x=T in the fit. But

Sorry everybody, temporary dyslexia. Sent from my BlackBerry wireless smartphone