similar to: Samba 2.0.5a: couldn´t set effective gid error

Hi, I activate samba on Centos 5, but I always get NT_STATUS_LOGON_FAILURE when issuing smbclient //GIServer/GIApp -usmbuser after I enter the password to the prompt. What things should I look for to solve this? -- Best Regards, Sobari Tanuwijaya --------- Without positive attitudes, the best techniques in the world won't have much impact. --Anonymous--

Hi all together, all answers to my first posting didn't help to solve my problem. Maybe this can help you. When I'm doing: smbclient -L MYLINUX -U MYUSER I get the following message: Added interface ip=195.90.254.xxx broadcast=295.90.254.255 nmask=255.255.255.0 Password: <enter password for myuser> Domain=[MYDOMAIN] OS=[Unix] Server=[Samba 2.0.5a] Tree connect failed: ERRSRV -

My problem consists of Samba + Winbindd + Ldap + Kerberos not authenticating with Active Directory. For example, if I do 'smbclient -L localhost -U username%password(active directory account)' I get NT_STATUS_LOGIN_FAILURE. Ive debugged for quite sometime trying to pinpoint some sort of configuration that needs to be changed or added. To my experience I think the problem resolves at

Here is a snippet from my /var/log/smb: [1999/08/26 12:33:30, 1] smbd/server.c:main(628) smbd version 2.0.5a started. Copyright Andrew Tridgell 1992-1998 [1999/08/26 12:33:30, 1] smbd/files.c:file_init(216) file_init: Information only: requested 10000 open files, 246 are available. [1999/08/26 12:33:30, 0] smbd/uid.c:become_gid(105) Couldn't set effective gid to 65534 currently set to

Samba 2.0.3-8 installed via rpm RH5.2 I've set up security = domain. I have 2 errors: 1. I cannot map to a share on the linux PC via name. 2. When I use IP address to map a share, I get the following errors in the log.<machine> [1999/05/14 14:44:24, 0] smbd/uid.c:become_gid(105) Couldn't set effective gid to 99 currently set to (real=0,eff=0) [1999/05/14 14:44:24, 0]

Hello! I am trying to put two math expressions in the title of a plot. As you can see below, I can place correctly one expression at a time, but not both. Ideally I would like to have them separated by a comma. Any suggestions? > k <- 1 > n.eff <- c(20, 30) > ### this works > plot(0,0, main = substitute(n == k, list(k = k))) > ### this works > plot(0,0, main =

Hello list, I've seen the recent discussions documenting problems with lm. I have encountered the following problem. I use WinXP Pro with service pack 1, and R 1.9.0, on a XEON 2GHz, with 1GB of RAM. > eff.fro std.dev mean NSTRDSP 7.403749e-01 1.215686e-01 CPFGEP 9.056763e+00 1.815686e+00 WSWOLF 4.703588e+05 1.112832e+05 NPILGRIM 1.017640e+06 2.134335e+05

Two friend reported me a problem, which I can't solve: (I run R-1.0.0, Debian Linux) They hava a function "corr.matrix" (see end of mail), and when they create a 173x173 matrix with this function V <- corr.matrix(0.3, n=173) V1 <- qr.solve(V) reports: Error in qr(a, tol = tol) : NA/NaN/Inf in foreign function call (arg 1) For n < 173, qr.solve returns the correct

hi, - big and ugly mail. If you don't like them, delete it now :-) - I have collected and classified some information of: http://home.earthlink.net/~rwhron/kernel/bigbox.html And I observed that ext3 performance is worse than previous kernels(2.4.19...). -ac and -aa are here only as reference. Complete information is in the upper URL. dbench: Performance is worse. dbench (Numbers are in

Dear all, This problem came up initially while debugging a function, but it seems to be a more general problem of R. I hope I'm wrong, but I can't find another explanation. Let me illustrate with the raster package. For an object "RasterLayer" (which inherits from Raster), there is a method xyValues defined with the signature

R-helpers, I am hoping to find someone who uses both R and program Stata for GLMs. I am a beginner R user, finding my own way through; learning code etc. at the same time as learning the statistics I need to complete my project. What I have is the code from Stata and am trying to reproduce the same analysis in R - my program of choice. . glm count md ms rf sg, family(poisson)

In the course of exploring response prediction, I stumbled upon a small discrepancy between the CIs produced by predict.lm() and all.effects() require(mlmRev) require(effects) hsb.lm <- lm(mAch ~ minrty * sector, Hsb82) hsb.new <- data.frame( minrty = rep(c('No', 'Yes'), 2), sector = rep(c('Public', 'Catholic'), each = 2)) hsb.eff <-

Hi All, I am trying to use optim() to minimize a function with a penalty function term. This is a simple model bioeconomic model of a fishery. The penalty function constrains the amount of effort (f) at 9. This works fine. The code is: ********** nfleets<-2 M<-1 M<-array(M,dim=c(nfleets)) N<-1000 cost<-c(30,30) cost<-array(cost,dim=c(nfleets)) Price<-2

I'm trying to setup samba 2.0.3 server on AIX 3.2.5 box using DIAGNOSIS.txt and on test 3 i'm having problems. This is what i have on command line: smbclient -d 4 -L alenianola Added interface ip=190.20.200.200 bcast=190.20.255.255 nmask=255.255.0.0 Client started (version 2.0.3). resolve_name: Attempting lmhosts lookup for name alenianola<0x20> startlmhosts: Can't open lmhosts

Hi, I have some values in a list format generated by the following: Path_Number <- 0010 ID.Path <- formatC(0001:Path_Number, width=4, flag=0) # Make vector of ID's. No_of_Effectors <- sample(1:550, length(ID.Path), replace=TRUE) # Define Number of Effectors each individual gets. Effectors <- split(sample(1:10000, sum(No_of_Effectors), replace=TRUE), rep(ID.Path, No_of_Effectors))

After an upgrade to Asterisk 12, I'm "collecting" channels. When I enter and then exit a conference room, I see: -- <CBAnn/207-0000067f;1> Playing 'confbridge-leave.slin' (language 'en') -- Channel CBAnn/207-0000067f;2 joined 'softmix' base-bridge <5edb1920-3774-4ba3-8c4d-23e8fd04519c> -- Channel CBAnn/207-0000067f;2 left

Greetings. I'm trying to replicate an analysis I did a few years ago, then in SPSS, using the SPSS GLM command: GLM n_diffpt WITH age_i inc_i join_i work_i educ_i give_i cs_i eff_i age_a inc_a join_a work_a educ_a give_a cs_a eff_a /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /PRINT = PARAMETER ETASQ RSSCP GEF /CRITERIA = ALPHA(.05) /DESIGN = age_i*age_a inc_i*inc_a

I suspect the weights argument is not having any effect. Package: Matrix Version: 0.995-2 Date: 2006-01-19 Beginning with this: Browse[1]> resp.lmer <- lmer(SensSSC ~ Block + Season + (1 | Plot) + (1 | Ma) + (1 | Pa) + + (1 | MaPa), weights = SensSSC.N, data = xx) I group the output into a table with my ran.eff function and get this:

Dear UseRs, I wrote following function in order to solve Data Envelopment Analysis. Reason for posting is that the function is slow when nrow(dat) is large. I wonder if other functions could substitute the for() loop in the code, such as mapply(). Can anybody help to rewrite the dea() function as efficiently as possible? The code is as follows:

Dear everybody! Need help with graphics. I am runnig a simple lm and then using allEffects from 'effects' package: require(effects) model<-lm(Y~A+B, data=mydataframe) I am trying to build (for each predictor - A and then B) a plot of means on Y. I was successful doing it like this - in one swoop: ml.eff<-allEffects(ml1, se=F) plot(ml.eff,ylab="Title of Y") Is it