similar to: samba 4 winbind feature set

Good morning, I am posting msgs on the NON OPERATION of WINBIND. GOOD I should say that without I had made any change in the system it started to work in an of my facilities. INCREDIBLE but it worked. The problem now is that I tried log in the samba not previously using an user servant in the smbpasswd and him of autentication mistake. But should not WINBIND facilitate that? Do I need to have user

Saludos, tengo un problema que no puedo resolver dentro del R Estoy creando una funcion que a partir de un objeto compuesto por diferentes matrices como el que esta a continuacion: [[1]] M1 M2 M3 M4 sp1 2 0 1 8 sp2 4 5 2 4 sp3 0 0 4 0 sp4 5 7 5 0 sp5 0 4 0 0 [[2]] M3 M2 M4 M1 sp1 1 0 8 2 sp2 2 5 4 4 sp3 4 0 0 0 sp4 5 7 0 5 sp5 0 4 0 0 [[3]]

I've been trying to reshape this database but haven't succeed at it. I tried using loops but can't get it right. I just want to reshape my database from this matrix, to the one below, with only one column of data. Year Route Point Sp1 Sp2 Sp3 2004 123 123-1 0 1 0 2004 123 123-2 0 1 1 2004 123 123-10 1 1 0 Year Route Point 2004 123 123-1 Sp1 0 2004 123 123-2 Sp1 0 2004 123

Dear developers! I''ve found that recent xen releases cannot be simly run on openSUSE! The script /etc/xen/scripts/xen-network-common.sh makes some incorrect assumptions on the SuSE ifup script. Bridged xen networking only works if the script executes this branch: preiftransfer() { true } ifup() { false } ifdown() { false } Otherwise the xen networking scripts fail to put the

Dear all, how can I, with R, transform a presence-only table (with the names of the species (1st column), the lat information of the sites (2nd column) and the lon information of the sites (3rd column)) into a presence-absence (0/1) matrix of species occurrences across sites, as given in the below example? Thanks a lot for your help! Christian My initial table: species lat lon sp1 10 10

LS, I would really like to know how to count the frequency/occurrence of chachters inside a dataset. I am working with extreemly large datasets of forest inventory data with a large variety of different species inside it. Each row inside the dataframe represents one individual tree and the simplified dataframe looks something like this: num species dbh 1 sp1

LS, I would really like to know how to count the frequency/occurrence of chachters inside a dataset. I am working with extreemly large datasets of forest inventory data with a large variety of different species inside it. Each row inside the dataframe represents one individual tree and the simplified dataframe looks something like this: num species dbh 1 sp1

Having read a few posts recently I thought I would do some testing. Given XP's use of 445 and that I have a couple of networks where they only have XP clients, I thought I would try setting smb ports to 445 only rather than that suggested of just specifying 139. This has worked well for XP clients with SP2. However SP1, and presumably pre-SP1 clients, lose all sight of the NBT network.

Hello, I'm a bit afraid of users, the might slow down the server because of search requests to the imap-server on very large mailboxes. Even with a performant index, this could cause a lot of cpu and i/o-load. Is it possible to include the login-name in the imap process, so that a "ps ax" doesn't just give "imap", but e.g. "imap test at example.com"?

Dear R experts I have the follwoing data V1 V2 1 -5.8000000 0 2 -4.8000000 0 3 -2.8666667 0 4 -0.8666667 0 5 -0.7333333 0 6 -1.6666667 0 7 -0.1333333 1 8 1.2000000 1 9 1.3333333 1 and I want to know, whether V1 can predict V2: of course it can, since there is a perfect separation between cases 1..6 and 7..9 How can I test, whether this conclusion (being able to assign an

Hi I produce graphics with R under linux, but my collaborators often use windows and cannot import eps pics e.g. in msword what is the standard way to get e.g. bmp's with the same quality as eps. going the way: creating eps, convert eps2bmp using 'convert' doesn't yield good enough bmp's thanks for a short hint cheers christoph

Hi. We look to switch from XenServer, as it latest versions do not run on our eserver xSeries 336 server. Does the XCP 1.1 fully support this hardware? Also, any idea how well the Xen tools, such as XenCenter and Xen HW->VM tools supported in 1.1 release? I seen there is a feature called XAPI that makes the XCP look as fully-featured XenServer. Thanks.

I finally have a xen server to play with stuff that''s causing me problems on my production servers. One of those problems is simply installing Windows 2003. Here''s what I do: Open virt-manager set up a new install: full virt 512 ram 20 gig sparse file boot off /dev/cdrom The install starts as you''d expect. When it gets to the formatting I tell it to format in NTFS.

Problem: I have a data frame with 1s and 0s denoting presence/absence of species (columns) for particular plot measurements (rows). What I want to do is make a new column whose entries for each row is a list of the column names in which a species is present (ie. for row one its entry might read: "sp1","sp2", etc.). I've tried various functions etc. but can't seem to

Gentlemen, I have noticed (!) an unbelievable drop in performance with Windows xp pro sp2 systems, compared to sp1. The performance I have noticed is 122 seconds to write 65,000 indexed records to a dBase type file under sp2 and the same job in sp1 is 7 seconds!! I can't believe that this is a 'normal' feature of Windows sp2 software when working with Samba. Is it possible that

Muchísimas gracias Carlos. La he probado simulando datos con solapamiento conocido y va como un tiro! Saludos Angel Sent from Samsung tabletCarlos Pérez Carmona <carlos.perez@uam.es> wrote:Hola Ángel, Nosotros creamos recientemente una función para calcular el overlap entre distintos caracteres de especies de plantas o animales. La función (trova) puedes encontrarla aquí:

Dear list, I'm trying to create a matrix by combining the sites that species occur in a new matrix with species as rows and sites as columns. The main matrix is "mat": mat <- as.data.frame(cbind(sp1=c(rep(0, 5), rep(1, 5)),sp2=sample(c(rep(0, 6),rep(1, 4))), fac=c(rep("a", 3), rep("b", 3),rep("c", 4)))) The first two columns are species and the

So I successfully installed the GPLPV drivers in a Windows installation I have running under Xen. Turns out SP2 is needed - I wish this was slightly better documented somewhere, as the machine ended up bluescreening and I had to use /NOGPLPV to get it to boot again so I could upgrade it to SP2. My question is this: I ended up using ''disable'' in device manager for the rtl8139 and

Hi, Anyone knows what is this? [root at artemis bin]# ./samba-tool domain provision --use-rfc2307 --interactive Realm [DOM.CITY10.COM.BR]: Domain [DOM]: Server Role (dc, member, standalone) [dc]: DNS backend (SAMBA_INTERNAL, BIND9_FLATFILE, BIND9_DLZ, NONE) [SAMBA_INTERNAL]: DNS forwarder IP address (write 'none' to disable forwarding) [187.85.85.1]: Administrator password: Retype

Hi: I'm having some difficulty properly subscripting a function to remove complete NA rows from a R array object. Could someone please suggest how best to script this out? Data structure: X is an array with 3 dimensions (replicates, Species, Sites) replicates: 1 to 6 but ragged...not all sites equal ,,Site1 Sp1 Sp2 Sp3... Sp50 1 5 4 3 2 2 3 0 0 1 3 NA NA NA NA 4 NA NA NA NA 5 NA