similar to: Problems with custom plugin

Following version and content of .conf file ---------------------------------------------------------------------------------------- root at ABCD:/CavE/download/delete_to_trash# dovecot --version 2.2.9 root at ABCD:/CavE/download/delete_to_trash# dovecot -n # 2.2.9: /etc/dovecot/dovecot.conf # OS: Linux 3.13.0-32-generic x86_64 Ubuntu 14.04.1 LTS auth_mechanisms = plain login log_path =

Hi, Can i use 2 or 3 NIC''s in paravirtualized or fully virtualized guest or domU? ________________________________________Disclaimer: This email and any attachments may contain confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error) please notify the sender immediately by email and destroy this email. Any unauthorized

We recently upgraded our NT4 Domain to Win2k. We use Samba 2.0.7 running on Solaris 2.6 servers. We are getting buffer overuns in the log files when running 'domain_client_validate' which appears to be due to extensive group membership (SID History is not being used). Are there any patches/fixes available to get round this problem? Thankyou in anticipation. Regards, Rich Sprigg

Dear R team I noticed a bug in the "medpolish" function in the "stats" package. When I run medpolish(x), with "x" the matrix in the attached .rda file, I get this rather cryptic error: "Error in if (converged) break : missing value where TRUE/FALSE needed In addition: Warning message: In sum(abs(z), na.rm = na.rm) : integer overflow - use

Hey folks, I'm trying to do all subsets on a zero-inflated poisson regression. I'm aware of the leaps and regsubsets functions but I don't know if they work for ZIP regressions or how the syntax fits in for them. Can anyone help? The model syntax is: > zip.zc <- zicounts(resp=Scars~.,x=~Location + Lar + Mass + Lac + Lar:Mass + Location:Mass, data = alan2,

Hello Folks, I'm after some help regarding mixed models. Basically I have sampled a number of different animals at 10 independent sites and am trying to create a mixed model to account for the variation between sites my current model looks like this: mm<-glmm.admb(Hep~Sex+Mass, random=~Mouse, group=Location, data=alan, family="binomial", link="logit") I numbered each

Hi All, I am sure that you have all read this email a thousand times before, but I am having problems getting the information together and checking that what I think I can do, can be done :) At the moment, we currently have 3 or 4 sources of authentication. We have Novell thats used or all users, OpenLDAP thats used for all mail accounts and some NT accounts that are used for things like

Hello Folks, Very new to R so bear with me, running 5.2 on XP. Trying to do a zero-inflated negative binomial regression on placental scar data as dependent. Lactation, location, number of tick larvae present and mass of mouse are independents. Dataframe and attributes below: Location Lac Scars Lar Mass Lacfac 1 Tullychurry 0 0 15 13.87 0 2 Somerset 0 0 0

Hello, I'm a bit new to the world of R so forgive my ignorance. I'm trying to do a zero-inflated negative binomial regression and have received an error message and i'm not sure what it means. I'm running R 2.5.1 on XP. I have just tried a really simple version of the model to see if it would run before I put all the variables in. I have attached all the variables to the