similar to: question of domain group memberships

Hi, I read the Wiki about dovecot-shared a few times but it is not 100% clear to me (at least for 1.2). First, if I want shared keywords I *must* have a dovecot-shared. In this case, the permissions are not taken any longer from the parent folder (what is exactly this parent folder?) but from the dovecot-shared file. So in some sense dovecot-shared is always required (since everyone would

I'm not sure where the problem is, but security group membership and access to sub-directories is giving me fits. Take 2 unique security groups as example, group1 and group2. If within my top level share there is a directory labeled marketing and a second directory labeled legal, where group1 and group2 are assigned to marketing and legal respectively, then the group1 members should not

Hi- I want to fit a model with crossed random effects and heteroskedastic level-1 errors where inferences about fixed effects are of primary interest. The dimension of the random effects is making the model computationally prohibitive using lme() where I could model the heteroskedasticity with the "weights" argument. I am aware that the weights argument to lmer() cannot be used to

Though tapply(x, factor, fun, simplify =TRUE) should be equivalent to sapply(split(x, factor), fun, simplify=TRUE), note simplify=TRUE, it is not so if fun() returns a vector rather than a scalar, e.g. > tapply(1:6, c(0,0,0,1,1,1), function(x) c(min=min(x), max=max(x)), simplify=TRUE) $"0" min max 1 3 $"1" min max 4 6 > sapply(split(1:6, c(0,0,0,1,1,1)),

Hello r-help, I am trying to collapse or aggregate 'some' of a data frame. A very simplified version of my data frame looks like: > tester trip set num sex lfs1 lfs2 1 313 15 5 M 2 3 2 313 15 3 F 1 2 3 313 17 1 M 0 1 4 313 17 2 F 1 1 5 313 17 1 U 1 0 And I want to omit sex from the picture and just get an addition of num,

Hi, I'm running Samba 3.0.11 on RedHat ES 3 kernel version 2.4.21-15.0.4.ELsmp and have a quick question about AD group membership limits Am I right in assuming that Samba is limited by the group membership parameters (ie NGROUP = 32) imposed by the Linux kernel? Is there any workaround in Samba for this? At the moment if a user is a member of more then 32 domain groups they cannot access

summary: The function 'by' inconsistently strips class from the data to which it is applied. quick reason: tapply strips class when simplify is set to TRUE (the default) due to the class stripping behaviour of unlist. quick answer: This can be fixed by invoking tapply with simplify=FALSE, or changing tapply to use do.call(c instead of unlist executable example:

Dear List, I have a logical data frame with NA's and a grouping factor, and I want to calculate the % TRUE per column and group. With an indexed database, result are mainly limited by printout time, but my R-solution below let's me wait (there are about 10* cases in the real data set). Any suggestions to speed this up? Yes, I could wait for the result in real life, but just curious if I

Dear R-developers, when tapply() is invoked on factors that have empty levels, it returns NA. This behaviour is in accord with the tapply documentation, and is reasonable in many cases. However, when FUN is sum, it would also seem reasonable to return 0 instead of NA, because "the sum of an empty set is zero, by definition." I'd like to raise a discussion of the possibility of an

Hi, I have been trying to use Winbindd in SLES 11 SP3 (Samba version 3.6.3-17.25.1) to fetch AD (Windows 2008 R2) identities into the Linux box and currently running into some problem w.r.t domain local groups and thought I could get some help here.. I have a two domain setup, in which DOMAIN1 is the parent domain and DOMAIN2 is the child domain. I have 2 users DOMAIN1\user1, DOMAIN2\user2 and

Can someone help with a fairly simple task? I have a data set where I would like to insert a 0 time event between individuals: what I have: VAR DATE TIME CONC COVAR 1 NOV2 0.25 10 group1 1 NOV2 0.5 20 group1 1 NOV2 1 5 group1 1 NOV2 2 1 group1 1 NOV2 3 0.1 group1 2 NOV2 0.25 10

Hello, I'm looking for a solution to my problem : i have a samba server with ldap auth on Debian ETCH. I need to configure this samba for multi-group and multi-users. Example : user 1 (from group1) have to see his own directory (for writing), his group' directory (for writing and sharing) but also the "homes" of others users from this group... user2 (from group2)

All, I am building a glusterfs environment for file storage and need to use ACL's. The CentOS system is joined to AD. We have ingested data into the Gluster environment at /toplevel. OS: CentOS 7.3 Glusterfs: 3.10.5 Samba: 4.4.4 smb.conf: [global] workgroup = GROUP security = ADS realm = GROUP.DOMAIN.COM template homedir = /home/%U template shell

Full_Name: Martha Nason Version: 2.0.1 OS: Windows XP Submission from: (NULL) (137.187.154.154) I am running simulations using fisher's test on 2 x c tables and a very small p.value from fisher's test (<2.2e-16) is returned as a negative number. Code follows. > set.seed(0) > nreps.outer <-7 > pvalue.fisher <- rep(NA,nreps.outer) > > population1 <- c(

Hi All, Is there a simple way to convert a string such as c("A", "B" ,"C", "D") to a string of c("Group1", "Group1", "Group2", "Group2"). Naturally I could use the factor function as below but I don't like seeing that warning message (and I don't want to turn off warning messages). Perhaps a function

I planned using ifmember.exe from Windows 2000 resource kit to map the right drive-mappings to the right shares with logon-scripts. Unfortunately it seems as ifmember simply doesnt report the right groups for the users. Even tho "id user1" shows the right groups; "uid=2082(user1) gid=1002(Group1)roups=1002(Group1),545(Users),1000(Group0)", User is a member of group

Dear list, I would like to do some calculation using different grouping variables. My 'df' looks like this: # Some data set.seed(345) id <- seq(200,400, by=10) ids <- sample(substr(id,1,1)) group1 <- rep(1:3, each=7) group2 <- rep(1:2, c(10,11)) group3 <- rep(1:4, c(5,5,5,6)) df <- data.frame(id, ids, group1, group2, group3) df <- rbind(df, df, df) df$time <-

Hi list, I need to create the following share: user1 can create a file in the share but can't erase or change; user1 can just read the file when he creates it; user2 can delete and change the file user1 has created; I did like this: user1 is member of group group1; user2 is member of group group2; [share] path = /home/share read only = No write list = @group2

Hello All, I have posted to this list before regarding the same issue so I apologize for the multiple e-mails. I am still struggling with this issue so I thought I'd give it another try. This time I have included reproducible code and a subset of the data I am analyzing. I am running an ANOVA with three factors: GROUP (5 levels), FEATURE (2 levels), and PATIENT (2 levels), where

Hi, my dependent variable is a proportion ("prob.bind"), and the independent variables are factors for group membership ("group") and a covariate ("capacity"). I am interested in the effects of group, capacity, and their interaction. Each subject is observed on all (4) levels of capacity (I use capacity as a covariate because the effect of this variable is normatively