similar to: Successive writing to a Samba 3 Beta 3 server problem

Hi, I have collected data on trees from 5 forest plots located within the same landscape. Data within the plots are spatially autocorrelated (calculated using Moran's I). I would like to do a ANCOVA type of analysis combining these five plots, but the assumption that there is no autocorrelation in the residuals is obviously violated. Does anyone have any ideas how to incorporate these spatial

Hi, I have fitted a model using a glm() approach and using a gls() approach (but without correcting for spatially autocorrelated errors). I have noticed that although these models are the same (as they should be), the AIC value differs between glm() and gls(). Can anyone tell me why they differ? Thanks, Geertje ~~~~ Geertje van der Heijden PhD student Tropical Ecology School of Geography

Hi, I have an issue with Samba using winbind. We have Active Directory groups with underscores (for example sambagroup_underscore). But an underscore in Samba (Unix) is a space in Active Directory. So my question is what character is used in Samba (Unix) for an underscore in Active Directory? Or are there other solutions to solve this? I would be very happy if you can help me! Met

Hi all, I have probably a basic question, but I can't seem to find the answer in the literature or in the R-archives. I would like to do a robust ANCOVA (using either rlm or lmRob of the MASS and robust packages) - my response variable deviates slightly from normal and I have some "outliers". The data consist of 2 factor variables and 3-5 covariates (fdepending on the model).

Hi, I am trying to fit a ANCOVA model using lmRob. The P-values of the variables in the model differ hugely between the summary() function and the anova() function (from >0.8 in the summary to <0.001in the anova for the same variable). I understand that with an ANCOVA the order in which the variables are added to the model matters and that this influences the P-value, but can this make such

Hi, We use Samba 3.5.4 using winbind on AIX. The issue we have is that some accounts can not access the Samba share. The belong to the correct Active Directory group. I have googled and I have read something about too many Active Directory groups. Is this a know issue and is there a workaround for this? The issue which occurs: log.smbd: PANIC (pid 16232692): sys_setgroups failed Met

Hi, I am trying to calculate Moran's I test for the residuals for a regression equation, but I have trouble converting my coordinates into nb format. I have used the dnearneigh() funtion now with an arbitrarily high upper distance to make it include all plots. However, when I do the lm.morantest() I get a Moran's I value which is the same as the expected value and a P-value of 1. I

Hi, We have Samba version 3.5.4 and we are using winbind (Active Directory) for authorisation. The issue is that for most of the members of a Samba share it is not possible to connect this Samba share. This because of the error below. It seems to be that the number of Active Directory groups where this Samba member belongs to is too high. UNIX token of user 588109 Primary group is 10049 and

Hi, I'd like some advice on bootstrapping in R. I have a species x with 20 individuals and a factor containing 0 and 1's (in this case 5 zeros and 15 ones). I want to compare the frequency of the occurrence of 1 with a probability value. This code seems to work to do this in R. attach(test) p <- c(0.5272, (1-0.5272)) sp1_1 <- length(subset(x, x==1)) sp1_0 <- length(subset(x,

Hello all, I'm working on a simple CIFS/SMB client program which has to store data on a NAS running with Samba 3.0.0 beta3, but I have a problem with it. Unfortunately my knowledge with the SMB/CIFS protocol is limited. The problem I encountered was when I wanted to send a SMB packet that was larger than 255 bytes. Specifically when the NETBIOS session header was larger than 0x0000FE as

hi, the architecture that we are compiling for has a special vector shuffle instruction, which writes two successive registers (Rn and Rn+1). i have defined intrinsics to generate the instruction, and a special register class for the register pairs. in addition i have two EXTRACT operations which allow to access either the first or second subregister of a pair (using moves). the pair register

This is a wrapper around gnm by Turner and Firth to make fitting log-multiplicative models as convenient as possible: it provides simple functions, good starting values, jackknife or bootstrap standard errors, and direct plotting of the results. In addition, it makes it possible to identify scores from RC(M) association models, which gnm does not allow without computing the SVD yourself. It will

This is a wrapper around gnm by Turner and Firth to make fitting log-multiplicative models as convenient as possible: it provides simple functions, good starting values, jackknife or bootstrap standard errors, and direct plotting of the results. In addition, it makes it possible to identify scores from RC(M) association models, which gnm does not allow without computing the SVD yourself. It will

Hi, We are in the process of testing a migration of our current setup which contains Samba 4 as Classic DC with LDAP backend, Isilon OneFS bulk storage serving NFS/SMB shares and Windows/Mac/Linux clients to a more modern Samba 4 AD. We need to migrate to Samba AD because of Windows 10 and macos 10.13.x (and for several other reasons). But we run into an issue with authenticating the clients

This is not working because the numbering is not successive. This whole configuration implementation is of course nothing to be proud of. plugin { #setting_name = value # archive folder mailbox_alias_old = Archive mailbox_alias_new = Archief mailbox_alias_old2 = Archive mailbox_alias_new2 = Archief mappen mailbox_alias_old3 = Archive mailbox_alias_new3 = Archived messages

a <- c(1:10) b <- c(.5, .6, .9, 10, .4, 3, 4, 9, 0, 11) d <- c(21:30) z <- data.frame(a,b,d) library(fields) results <- c() for(i in 1:(length(rownames(z))-1)){ results[i] <- rdist(z[i,], z[(i+1),]) } results.1 <- data.frame(results) f <- rownames(z) r <- f[-1] rownames(results.1) <- r colnames(results.1) <- f[1] this does what I want it to do - is

Hi All, I am using an Asterisk 1.6.2.6, and when I use this part of the dialplan: exten => 8355,1,Dial(SIP/${EXTEN}&IAX2/${EXTEN},18,tTWwr) exten => 8355,n,Dial(IAX2/8366,48,tTWwr) (i made that simple to exhibit issue) I got just 1 ring in 8366 extension before it hangup, what i noticed is the total time spent on ringing is 30s that means if i use 12s in the first dial i get 18s left

Hi all, I am trying to do fitting of large sets of timeseries data, and error messages derail the process when I encounter a dataset that doesn't fit. I'd like to ignore those "misfits" and try another equation or move to the next dataset. Any ideas? (piece of code below) Thanks, --Warren ##The code looks something like this: attach(zf) x <- hours

Hi everyone, I want to perform an operation on a matrx that outputs the product of successive pairs of rows. For example: calculating the product between rows 1 & 2; 3 & 4; 5 & 6...etc. Does anyone know of any readily available functions that can do this? Thanks, rcoder -- View this message in context: http://www.nabble.com/product-of-successive-rows-tp18681259p18681259.html

Dear Helpers, I am looking for methods and tools to compare and then to concatenate two successive time series. They are both in the same frequency and they describe one phenomena. There is no time gap between them. The problem is that the method of measurements has changed between both time series and they are no statistically the same. I would like to merge them to receive one homogeneous