similar to: Cumulative row sums, row differences

Sorry for the delayed response, Louis, I'm not sure how to tell about having "cifs/UPN" - Please advise. I was able to mount with sec=krb5 after the user is logged in but that does not help getting "home" mounted during the login. But here is where I am now: I have been able to pam_mount "home" during the login but could not get the ACLs during the mount

Rowland, How would I find this info? Check if 'Rachel Jones' has a 'gecos' attribute in AD. You seem to be being denied access to '.Xauthority', was it created on another machine ? No However, I am sure '-13' usually means incorrect password. I am sure the password is correct, the /mnt/home/rachel folder is created but the user files are not created because

On 11/12/15 15:41, Bob Thomas wrote: >/First, Thank you all for this forum, as I am fairly new at both Ubuntu />/and Samba I have found most the answers to my issues here. />//>/Now correct me if I am wrong but Samba 4.3.2 should be able to support />/Domain Trusts. If so maybe you can help me, here is what I have: />//>/NT4 Domain: adc.com (Holds are production servers and

First, Thank you all for this forum, as I am fairly new at both Ubuntu and Samba I have found most the answers to my issues here. Now correct me if I am wrong but Samba 4.3.2 should be able to support Domain Trusts. If so maybe you can help me, here is what I have: NT4 Domain: adc.com (Holds are production servers and user accounts for that domain) Controller = enterprise.abc.com Samba

Good Morning (or not), I am running three Samba AD DCs all at version 4.7.2 on Ubuntu 16.04.  All three have run flawlessly for over a year. Last night one of the DCs started failing Replication with both the other DCs so I decided to run samba-tool dbcheck . Resulting in several: ERROR: orphaned backlink attribute 'memberOf' in CN=Annamarie Foyles,CN=Users,DC=cy,DC=cybernetics,DC=com

Hi @all, I am biting my nails with the following problem: I have a data set of daily rainfall measurements for the last 20 years. What I want to do is calculate the daily cumulative sum of rainfall but only for every year which means that the cumulative sum has to be reset each year. After the calculations I want to plot each year of cumulative rainfall as a separate line in one graph preferably

Hello, I've been trying to get Ubuntu 18.04 to work with Samba AD, seems I am almost there but am unable to get home directories to mount properly.  The domain join went without a problem but because the default cifs ver changed in Ubuntu to get other Samba shares on a samba file server to mount I had to add to it's smb.conf: client min protocol = SMB2 client min protocol = SMB3 So

Hello, We have a system which creates thousands of regression/classification models and in cases where we have only one input variable NaiveBayes throws an error. Maybe I am mistaken and I shouldn't expect to have a model with only one input variable. We use R version 2.6.0 (2007-10-03). We use caret (v4.1.19), but have tested similar code with klaR (v.0.5.8), because caret relies on

Hello world, I am actually transferring a course in data management for students in biology, geography and agriculture from statistica to R - it works surprisingly well. If anyone is interested in my scratch/notepad (in German language), please see www.hydrology.uni-kiel.de/~schorsch/statistik/statistik_datenauswertung.pdf (pages 40-52) The dataset is:

Dear R-helpers, I have a huge data-set so need to avoid for loops as much as possible. Can someone think how I can compute the result in the following example (that uses a for-loop) using some version of apply instead (or any other similarly super-efficient function)? example: #Suppose a matrix: m1=cbind(1:5,1:5,1:5) #The aim is to create a new matrix with every column containing the

For the life of me I couldn't work out what to searc I have an m*n numeric matrix x and a numeric vector y (of length m+n-1) How do I do a calculation like this? z[i,j] = x[i,j] * y[i+j] ? Well, one can write a pair of loops, or write a single loop within which we calculate a vector at a time, but ... is there a "neat" way to do it? tiny example:

On 12 June 2010 00:51, Eli Friedman <eli.friedman at gmail.com> wrote: > On Fri, Jun 11, 2010 at 3:28 PM, Bill Hart <goodwillhart at googlemail.com> wrote: >> Hi Eli, >> >> On 11 June 2010 22:44, Eli Friedman <eli.friedman at gmail.com> wrote: >>> On Fri, Jun 11, 2010 at 10:37 AM, Bill Hart <goodwillhart at googlemail.com> wrote:

I was able to get the loop to increment from -999 to 0 using IR directly. That got rid of the cmpq. The carry i was after was able to be obtained using the intrinsic @llvm.uadd.with.overflow.i64, however there is no way to add with carry and have it realise that the resulting *carry out* cannot exceed 1. It actually writes the carry to a byte, and then uses logical operations on it, which slows

There is an issue with the new Kerberos 1.5. It does not currently support building static libraries. I'm willing to leave the port at 1.4.3 until MIT fixes the static library build. OTOH, if folks want 1.5, without static library support, the 1.5 port is ready to commit. I may update the port to build 1.5 if static libraries are not wanted and build 1.4.3 if they are wanted. Static

Hi Bill- I think, ideally, the backend would be able to match arbitrary-precision arithmetic to add-with-carry or subtract-with-borrow through i65/i33. That would remove the need for the overflow intrinsics entirely. Alistair On 13 Jun 2010, at 02:27, Bill Hart wrote: > I was able to get the loop to increment from -999 to 0 using IR > directly. That got rid of the cmpq. > > The

Hello Samba team, I have 3 production samba DCs version 4.5.1 serving the same domain (2 sites) and all are having the same problems, I believe based on two duplicate xidNumbers described below. xidNumbers 3000002 & 3000003 have two SIDs assigned while xidNumbers 3000011 & 3000012 have no SIDs assigned. Is fixing this as simple as moving one of the duplicates to the empty xidNumber

Hello. I have this matrix: cy [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1.0000000 1.0000000 -0.5164570 -0.5164087 -0.4004139 -0.4003719 [2,] 1.0000000 1.0000000 -0.5164570 -0.5164087 -0.4004139 -0.4003719 [3,] -0.5164570 -0.5164570 1.0000000 1.0000000 -0.1186691 -0.1186972 [4,] -0.5164087 -0.5164087 1.0000000 1.0000000 -0.1186995 -0.1187276 [5,]

Hi, I am trying to cross-validate a logistic regression model. I am using logistic regression model (lrm) of package Design. f <- lrm( cy ~ x1 + x2, x=TRUE, y=TRUE) val <- validate.lrm(f, method="cross", B=5) My class cy has values 0 and 1. "val" variable will give me indicators like slope and AUC. But, I also need the vector of predicted values of class variable

I have a data set something like this: "YYYY", "Value" 1972 , 117 1984 , 73 1969 , 92 1976 , 113 1999 , 80 1996 , 78 1976 , 98 1984 , 106 1976 , 99 it could be created with: > dafSamp <- data.frame(cbind(c(1972,1984,1969,1976,1999,1996,1976,1984,1976),c(117,73,92,113,80,78,98,106,99))) The real dataset is of cause much larger, app. 100.000 samples

  Dear R helpers   Suppose I have two sets of ranges (interest rates) as   Range 1 : (7 – 7.50, 7.50 – 8.50, 8.50 – 10.00) with respective probabilities 0.42, 0.22 and 0.36.     Range II : (11-12, 12-14, 14-21) with respective probabilities 0.14, 0.56 and 0.30 respectively.     My problem is to form the combinations of these ranges in a decreasing order of joint probabilities. It is assumed that