similar to: anyone using smbclient queue and cancel commands?

Hi, I'm trying to manage printer queues on a XP box in the lan. Other client commands work well, even echo "test" | smbclient //XPBOX/PRINTER -c "print -" works as expected and starts a print job. But either queue and cancel don't work, without debug flags with no errors. Cancel even says job is deleted. With -d4 I see # smbclient -d3 //volker/HPDJ1120C -U admin

Hi, I've got an array, say with i,jth entry = A_ij, and a vector, say with jth entry= v_j. I would like to multiply each column of the array by the corresponding vector component, i,e. find the array with i,jth entry A_ij * v_j This seems so basic but I can't figure out how to do it without a loop. Any suggestions? Michal.

Hi, I am trying to parameterize the following mixed model (following Piepho and Ogutu 2002), to test for a trend over time, using multiple sites: y[ij]=mu+b[j]+a[i]+w[j]*(beta +t[i])+c[ij] where: y[ij]= a response variable at site i and year j mu = fixed intercept Beta=fixed slope w[j]=constant representing the jth year (covariate) b[j]=random effect of jth year, iid N(0,sigma2[b]) a[i]=random

Dear List I am having a bit of a problem getting a program to work. For each of i=1 to n persons I have a matrix (different for each person) with m rows. What I want to do, is create m new data sets such that the first is made up of the first row for each person from the original matrices, the second contains the second row for each person from the original matrices etc etc up to the mth

Hi, I compiled a 3.0 kernel for my system, used the same config of my already working 2.6.39.1 kernel on the same system. But whenever extlinux tries to load my 3.0 kernel it crashes instantly and reboots, not even 1 kernel msg is displayed. So it seems like the kernel isn't loaded at all and crashes. Rgds, /reni

hello everyone, I would like to as for advice for the use of ?lmer? (package ?lme4?) and writing the proper syntax to best describe my data using a mixed-effects model. I have just started to use these models, and although I have read some good examples (Extending the Linear Model with R, Faraway 2005; and the R book, Crawley 2007), I am still not sure of the syntax to test my hypothesis.

I'm trying to run "rfe" for variable selection in the caret package, and am getting an error. My data frame includes a dummy variable with 3 levels. x <- chlDescr y <- chl #crate dummy variable levels(x$State) <- c("AL","GA","FL") dummy <- model.matrix(~State,x) z <- cbind(dummy, x) #remove State category variable w <- z[,c(-4)]

-----Oorspronkelijk bericht----- Van: Reni Nieuwenhuizen <rnh@cpb.nl> Nieuwsgroepen: comp.protocols.smb Datum: vrijdag 27 februari 1998 14:26 Onderwerp: Bind failed when killing and restarting nmbd >Recently I get the message "bind failed on port 137 address already in use" >logged in the log.nmb. This happens nmbd gets killed (by me) and is >restarted by inetd (or

Hi guys, We are using syslinux (memdisk) and gpxe already for a while. Also got a working winpe boot method by means of pxe. Which basicly is a dd of an 'recovery partition' where winpe.wim is on. That method isn't really the most efficient way, cause its loaded into memory twice. We are going to do a major windows 7 deployment soon and i'm looking for the most efficient way of

R-List, I'm trying to compute pairwise distances among pairs of observations, which each pair containing data from 2 groups. There are more than 100000 unique pairs. I have programmed a distance function that has three parameters, a vector of covariates from the ith observation in Group 1, a vector of covarites from the jth observation in Group 2, and a weighting matrix. I have used

Hello -- I am curious if lmer can be used to fit a multilevel factor model such as a two-parameter item response model. The one parameter model is straightforward. A two-factor model requires a set of factor loadings multiplying a single random effect. For example, a logit model for the ith subject responding correctly to the jth item (j=1,..,J) is logit[p(ij)] = a1*item1(i) + ... + aJ *

Suppose I have a mixed-effects model where yij is the jth sample for the ith subject: yij= beta0 + beta1(age) + beta2(age^2) + beta3(age^3) + beta4(IQ) + beta5(IQ^2) + beta6(age*IQ) + beta7(age^2*IQ) + beta8(age^3 *IQ) +random intercepti + eij In R how can I get an F test against the null hypothesis of beta6=beta7=beta8=0? In SAS I can run something like contrast age*IQ 1,

I have written a program to solve a particular logistic regression problem using IRLS. In one step, I need to integrate something out of the linear predictor. The way I'm doing it now is within a loop and it is as you would expect slow to process, especially inside an iterative algorithm. I'm hoping there is a way this can be vectorized, but I have not found it so far. The portion of code

Hi. If I have a vector, v_1, and another vector of positive integers, i_1, the same length as v_1, then rep(v_1,i_1) will repeat v_i[j] exactly i_1[j] times, like so: >rep(c(1,2,3),c(3,2,1)) [1] 1 1 1 2 2 3 > I'd like to do the same sort of thing where I replace v_1 with a matrix, and the jth row of the matrix is repeated i_1 times. Obviously, I could do this with for loops, like

Can someone lend me a hand with extracting the dimnames from a SEXP? I've looked through R-exts, but I couldn't find an example. Here is the code I'm using to grab the jth column name and print it, but the colnames I'm getting are garbage. None of the following are working. void printInfo(SEXP ts) { int j; for (j=0; j<col; j++) {

Hi all Is there any systematic way to compute all possible paths, first-order loops and j-th order loops between two given nodes in a flowgraph (directed graph with cycles) - preferably using the igraph library in R? I have checked the igraph documentation but I can't figure out any direct and systematic way to do so. Any ideas? I use the following definitions from Butler, R. and A.

Hi guys, I am afraid I am stuck with an estimation problem. I have two variables, X and Y. Y is explained by the weighted sum of n lagged values of X. My aim is to estimate the two parameters c(alpha0,alpha1) in: Yt = Sum from j=1 to n of ( ( alpha0 + alpha1 * j ) * Xt-j ) Where Xt-j denotes the jth lag of X. I came up with this approach because I thought it would be a good idea to estimate

hello everybody I use the following code for my programming & it runs with the error as specified below.Any help that would disolve the error will be highly appreciated. Thanks in advance my code looks like this #### R programme for simulating the power of the two sample t test vs various #### non-parametric alternatives sim.size <- 200 sample.size <- 10 set.seed(231) mu1 <- 0 delta

Hi there, i just build a new ipxelinux.0 with an EMBED=../../syslinux-5/core/pxelinux.0. i'm trying to load up my vesamenu.c32 menu from http:. and offcorse i want this as optimal as possible, with the least needed GET requests. OLD situation with v4: PXE ROM -> ipxelinux.0 (tftp) -> menu.php (http) -> vesamenu.c32 (http) NEW situation with v5: PXE ROM -> ipxelinux.0 (tftp)

I have a huge matrix and need to delete certain rows. What I need to do is: 1.In each row, calculate the sum of jth column and (J+2)th column 2. If the sum is greater than 2 then that row needs to be deleted. I have a sample matrix and my codes here. It does remove some rows but when it does, it skips the next row and each time it deletes a row, the dimension changes so it gets out of bound. I