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CentOS Errata and Security Advisory 2012:0465 Critical Upstream details at : http://rhn.redhat.com/errata/RHSA-2012-0465.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 50fc234754d886f8147c22ed2b034d1f7be84dd78c10a8280699265a9c542cfa libsmbclient-3.0.33-3.39.el5_8.i386.rpm

CentOS Errata and Security Advisory 2012:0465 Critical Upstream details at : http://rhn.redhat.com/errata/RHSA-2012-0465.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 50fc234754d886f8147c22ed2b034d1f7be84dd78c10a8280699265a9c542cfa libsmbclient-3.0.33-3.39.el5_8.i386.rpm

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Hi, With this data.frame: > class(rwl) [1] "data.frame" >rwl 0028002F 0028013F 0028032F 1833 3.39 NA NA 1834 3.09 NA NA 1835 3.05 NA NA 1836 3.31 NA NA 1837 2.26 NA NA > colnames(rwl) [1] "0028002F" "0028013F" "0028032F" Ok.... > colnames(rwl[,1]) NULL why??

Dear All, The below are snippets of the policies that are causing connection issues for me from Windows 7 workstations, connected to a Domain, to Samba Shares : Microsoft network client: Digitally sign communications (always) Enabled Microsoft network client: Digitally sign communications (if server agrees) Enabled Microsoft network server: Digitally sign communications (always)

Hi, I am trying to find m breakpoints of a linear regression model. I used the segmented package. It works fine for small number of predicators and breakpoints.(3 r.v. 3 points). However, my model has 14 variables it even would not work even for just one breakpoints!. The error message is always estimated breakpoints are out of range. Since my problem is time related problem. So I

I tried toy problems and there doesn't seem to be a basic problem between lm() and ts objects: X = data.frame(x=c(1,2,7,9), y=c(7,2,3,1)) lm(y ~ x, X) X <- lapply(X, function(x) ts(x, frequency=12, start=c(1994,7))) lm(y ~ x, X) and this works fine - whether you do an lm() before or after making ts objects, it's okay. But I have a situation where things aren't okay.

my reproducible example test<-structure(list(site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L), .Label = c("A", "B", "C", "D", "E"), class = "factor"),

Since the fact that gfortran performance has improved over the major releases, I decided to benchmark the current releases on a MacPro with the Polyhedron 2005 benchmarks using -ffast-math -funroll-loops -msse3 -O3. The results are... gcc release gcc 4.2.4 gcc 4.3.3 gcc 4.4-pre gcc 4.3.3/ gcc 4.4-pre/

Hi R users, I have one simple question but I really don't know why I can't get it work. The data was adopted from Efron's An introduction to the bootstrap book. > nlaw LSAT GPA [1,] 576 3.39 [2,] 635 3.30 [3,] 558 2.81 [4,] 578 3.03 [5,] 666 3.44 [6,] 580 3.07 [7,] 555 3.00 [8,] 661 3.43 [9,] 651 3.36 [10,] 605 3.13 [11,] 653 3.12 [12,] 575 2.74

Dear R users, I'm trying figuring out with forest plot and rmeta. Here's my code... library(rmeta) tabletext <- structure(c("", NA, "Sex", "[F]", "[M]", NA, "Age class", "(0,60]", "(60,80]", NA, "Karnofsky class", "[70;90]",

Hi. First, sorry by my bad english :) I had a samba 3.0 and use a script with smbclient to send messages to 30 computers in my laboratory. I upgrade to debian squeeze and samba 3.5 and now i dont use the script command. root at escort:~# echo "Testando" | smbclient -NM LAB5-01 -I 192.168.3.200 Type your message, ending it with a Control-D cli_message returned NT_STATUS_PIPE_BROKEN I

Does "bwlimit" option really work on rsync locally? We have one type of harddisk and want to slow down rsync I/O on disk because I don't want the disk head gets too hot. While I'm trying to use --bwlimit option, it looks the rsync speed was slowed down, but iostat is not improved at all. In both case the block written speed is increased by the same amount. How could I really

Hello, We previously had Win2008 R2 DCs which we have begun to replace with Win2012 servers (forest is still at 2008 level however). I was able to query DFS via rpcclient but now I find that I am unable to. I know that SMB3 was introduced in Win2012 but I believe that it should auto-negotiate earlier versions. I did however test from v4.1.9 as well, unfortunately that still fails. From Samba3

Hello R users I have question about the time involved in list assignment. Consider the following code snippet(see below). The first line creates a reader object, which is the interface to 1MM key-value pairs (serialized R objects) spanning 50 files (a total of 50MB). rhsqstart initiates the reading and I loop, reading each key-value pair using rhsqnextKVR. If this returns NULL, we switch to the

Hello, Two lapply questions (system info and sample data below): 1) Why does the first form of command1 add the name of y _after_ the str() output rather than before as does the second (preferred) form? # command1 version1 invisible(lapply(ls(pattern='bn'), function(y) cat(y, "\n", str(get(y)), "\n") )) # command1 version2 (preferred output)

Hi, I'm trying to use sapply to compute the min of several variables, each of them stored in data.frames, grouped as a list: Is it normal that mean() and min() produce different objects dimensions? > str(dats) List of 5 $ log20:'data.frame': 83 obs. of 5 variables: ..$ DATE : int [1:83] 2001081500 2001081512 2001081600 2001081612 2001081700 2001081712

All, I've exhausted myself on this issue. Our samba server has been up and running for ages without any issues. About 6 weeks ago quite suddenly we began having intermittent clients hangs network wide and I'm at a loss to find the issue. The users have so named them the windows explorer status bar of death. It has been extremely disruptive when it happens. Looking at the logs at

Suppose that I'm working on Hadley's diamond dataset and I want to review the relationship between price, colour and carat. I might run the following: library(ggplot2) #plot scatter and add some hex binning q<-qplot(carat,price,data=diamonds, geom=c("hex"), main="Variability of Diamond Prices by Carat and Colour") #facet to get one scatter for

Below are the results for the Polyhedron 2005 benchmarks compiled with llvm/compiler-rt/dragonegg 3.3svn at r182439 against current FSF gcc 4.7.3svn and 4.8.1svn. The only major bug remaining in the dragonegg 3.3svn support for gcc 4.8.x is http://llvm.org/bugs/show_bug.cgi?id=15980 which results in unresolved symbols for _iround and _iroundf in the aermod and rnflow testcases. Note that this