similar to: Confusion over how to configure WINS

I have a machine that I am trying to join the domain from and am having the following problem: smbpasswd -j DOMAIN -r pdc.domain.com error: modify_trust_password: machine pdc.domain.com rejected the session setup. Error was : code 131 What is error 131, is there documentation of error #'s somewhere. If it is what I think it is, it is telling me that there is another machine with this

When I copy an old file to a share the motification time is not changed. Ok, the file has not been modified but since it is new to this share I like to change it's time to the copy time! There MUST be an option to do this!But I haven't found it yet :( Can anyone help? -- Torsten

plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise transformations

plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise transformations

Hello, I have a question regarding fitting a polynomial to a data set, then constructing a polynom from the coefficients so that I can integrate it. I first use lm to fit the polynomial setting the coefficients to raw=TRUE - this appears to work fine. I plot the model and it is a true representation of the data. I then take the coefficients vector and construct a polynom from the

plyr is a set of tools for a common set of problems: you need to break down a big data structure into manageable pieces, operate on each piece and then put all the pieces back together. For example, you might want to: * fit the same model to subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise transformations like scaling or standardising *

plyr is a set of tools for a common set of problems: you need to break down a big data structure into manageable pieces, operate on each piece and then put all the pieces back together. For example, you might want to: * fit the same model to subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise transformations like scaling or standardising *

Dear R users, I am putting together reading and resources lists for spatial statistics and spatial econometrics and am looking for some pointers from more experienced practitioners. In particular, I find two "camps" in spatial modelling, and am wondering which approach is better suitied to which situation. The first camp is along the lines of Venables and Ripley's Chapter 14

Hi, I just installed a minimal CentOS 7 on an Internet-facing server. Installing BIND gives me this: Running transaction Installing : python-ply-3.4-11.el7.noarch 1/2 Installing : 32:bind-9.11.4-9.P2.el7.x86_64 2/2 /var/tmp/rpm-tmp.M6XABV: line 59: /etc/selinux/mls/rpmbooleans.custom: No such file or directory grep:

plyr is a set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each pieces and then put all the pieces back together. It's already possible to do this with split and the apply functions, but plyr just makes it all a bit easier with: * consistent names, arguments and outputs * input from and output to data.frames,

plyr is a set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each pieces and then put all the pieces back together. It's already possible to do this with split and the apply functions, but plyr just makes it all a bit easier with: * consistent names, arguments and outputs * input from and output to data.frames,

Dear list, I'm just getting started learning how to use remote supercomputers for execution of parallelized code. I got a lot of initial help from this <http://stackoverflow.com/questions/14553357/parallelizing-on-a-supercomputer-and-then-combining-the-parallel-results-r> previous post, as well as one particularly helpful and patient XSEDE guy. I'm only using one node (for the

# plyr plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise

# plyr plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise

I have an application where I have a function to calculate results for a 2-way table or matrix, which returns a matrix with one less row and column. To keep this short, the function below captures the structure: fun2way <- function(f){ if (!length(dim(f)) ==2) stop("only for 2-way arrays") R <- dim(f)[1] C <- dim(f)[2] f[1:(R-1), 1:(C-1)] } Now, I want to

Hello Everyone, Good morning/afternoon/evening. Is there any chance to have SAMBA 48 working with Python36 and its derivatives? ( py36-dnspython-1.15.0.txz. py36-iso8601-0.1.11.txz, py36-ply-3.11.txz, py36-setuptools-40.6.2.txz) Currently SAMBA 48 requires python 26, but that is conflicting with existing packages in the server that is using py36. Any way to work around that issue?

If you didn't catch it, there has been a recent post to the mailing list that seems like it might be relevant to your interests: <http://lists.cs.uiuc.edu/pipermail/llvmdev/2012-June/051298.html> Direct link to the project page: <http://code.google.com/p/pymothoa/> --Sean Silva On Wed, Jul 11, 2012 at 12:37 AM, Travis Oliphant <travis at continuum.io> wrote: > Hi all,

I'm playing the newly released game Rage by id software on my Arch Linux 64 bit box and runs quite nicely. I was beginning to wonder if it would be possible to ply the game with controller/gamepad? What is possible/easiest to set up with wine? I have an ps3 controller could that do the job or would it be easier to get an xbox 360 controller or a completely different gamepad? Any suggestions

Dear list, I often need to convert several variables from numeric or integer into factors (before plotting, for instance), as in the following example, d <- data.frame( x = seq(1, 10), y = seq(1, 10), z = rnorm(10), a = letters[1:10]) d2 <- within(d, { x = factor(x) y = factor(y) }) str(d) str(d2) I'd like to write a function factorise() which takes a data.frame and

Hello, I am trying to re-code all my programs from SAS into R. In SAS I use the following code: proc sort data=upper; by tdate stock_symbol expire strike; run; data upper1; set upper; by tdate stock_symbol expire strike; if first.expire then output; rename strike=astrike; run; on the following data set: tdate stock_symbol expiration strike 9/11/2012 C 9/16/2012