similar to: today I going to finish my MCSE 2003

Dear all, After 1week++ finally I'm able to publish my samba4 live cd in my community website. For those want to have a preview of samba 4 please check out at this url: http://www.extraknowledge.org/xoops/modules/articles/article.php?id=29 Any problem simply throw at my forum. Ks

Hey folks, I've had a local mirror set up for some time now and it has always worked, but suddently stopped. I don't think the fact that it stopped work has anything to do with when I blew away that machine and changed it from Centos 5.3 to a Fedora Core 11 box. But I'm not sure how that could make any difference since it is just serving that stuff over the web. It still works

I am trying to add a kickstart file to my automatic installation and make it more automatic. However, when I comment out the append ks=... line in the example below, the computer boots properly. If I uncomment that line, then I get a kernel panic: VFS: Cannot open root device "" or 09:02 Please append a correct "root=" boot option Kernel panic: VFS: Unable to mount root

Hola Ruben, Sí precisamente es lo que comentas, en matemáticas no se suele llamar bucketización (este término se emplea más en informática) sino datos agrupados. Pero la idea es la que tu mismo dices. Respecto a las gráficas que has puesto, me han aclarado mucho sobre el tema, gracias. Si realizo lo mismo, por ejemplo con nbucket=1000 sigo obteniendo un p-valor de 1. Es decir, que casi le

John, thanks for starting (or restarting) this thread.? I'd like to add to the discussion with another concrete example, about as simple as it gets, which may help focus at least part of this discussion. I have worked with Taylor Arnold to implement a method developed in Conover (1972) for Kolmogorov-Smirnov goodness-of-fit tests for discrete distributions (one-sample only).? We needed this

http://r.789695.n4.nabble.com/file/n3031344/RSV.Rdata RSV.Rdata I want to split my dataset to training set and test set using kennard-stone(KS) algorithm, it is lucky there is R packages soil.spec to implement it. but when I used it to my dataset, it does not work, who can help me, how reasons is it, below, it is my code, and my data in the attachment.

Hi there! I have two little different data. One is a computer test on people, the other is a paper and pencil test. two boxplots show me that the data is almost the same. So now I'd like to know if I could handle all data as one, by testing with ks.test: ==== > ks.test(el$angststoer, fl$angststoer) Two-sample Kolmogorov-Smirnov test data: el$angststoer and fl$angststoer D =

Hi, I'm using the power.law.fit function from the igraph package to fit a power law distribution to some data. This function returns the power law exponent as it's only result. I would like to have some sort of goodness-of-fit and/or error estimate of the exponent returned. This paper: http://www.edpsciences.org/articles/epjb/pdf/2004/18/b04111.pdf suggests using the

Wow! With all the conversations here, and some things on my system, I am seriously thinking of taking another drive, install 4.4 on it, and then move my /home partition (I planned for such eventualities by putting /home on its own partition). Couple of questions: I did my current build with a ks.cfg on a floppy. Can I use the same information for 4.4 as I did for 4.3? That is none of

Also add kickstarts for F17 Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/Makefile.am | 2 +- recipe/ovirt17-install.ks | 1 + recipe/ovirt17-minimizer.ks | 1 + recipe/ovirt17-pkgs.ks | 1 + recipe/ovirt17-post.ks | 1 + 5 files changed, 5 insertions(+), 1 deletions(-) create mode 120000 recipe/ovirt17-install.ks create mode 120000

Dear R-users, I want to perform a One-Sample parametric bootstrapped Kolmogorov-Smirnov GoF test (note package "Matching" provides "ks.boot" which is a 2-sample non-parametric bootstrapped K-S version). So I wrote this code: ---[R Code] --- ks.test.bootnp <- function( x, dist, ..., alternative=c("two.sided", "less", "greater"), B = 1000 ) {

Due to a critical dracut bug, and a strong dev focus on F16, we're dropping all F15 recipes. Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/ovirt15-install.ks | 1 - recipe/ovirt15-minimizer.ks | 1 - recipe/ovirt15-pkgs.ks | 2 - recipe/ovirt15-post.ks | 145 ------------------------------------------ recipe/ovirt16-install.ks | 2 +-

Default for builds from git is --with-image-minimizer and Fedora builds will have --without-image-minimizer Blacklisting (forceful removal of files and packages) is forbiden by Fedora Spin rules, so official oVirt Node Spin will not use it. --- configure.ac | 12 ++++++------ ovirt-node.spec.in | 2 +- recipe/Makefile.am | 1 +

top-level kickstart file contains only includes, example custom-template.ks is provided with documented customization points. Signed-off-by: Alan Pevec <apevec at redhat.com> --- recipe/common-manifest-post.ks | 31 +++++++++++ recipe/common-manifest-pre.ks | 11 ++++ recipe/common-post-chroot.ks | 46 ++++++++++++++++ recipe/common-post.ks | 24 +++++++++

After a lot of testing and help from Duncan, Benjamin, Joerg and others, I think the new SROA is ready for some broader testing. I've fixed all the crashers and miscompiles that Duncan and Joerg have been able to find (although I'm sure there are a few left I'll tackle when there are reports), and the LNT numbers look *really* good. Here is the latest LNT run we got by flipping it on

Hi, I was doing a Kolmogrov test on x, y shown below. They are both 151 long. According to the help file, exact p-value is not available so I set "exact = FALSE", but still got the warning. There are no duplicated values in either X or Y. Thank you for your tips. BTW, is there functions in R about Extreme value theory? ******************************************** > ks.test(x, y,

The majority of the tools have already options (--echo-keys & --keys-from-stdin) to deal with LUKS credentials, although there is no way to automatically provide credentials. --keys-from-stdin is suboptimal, because it is an usable solution only when there is just one device to open, and no other input passed via stdin to the tool (like the commands for guestfish). To overcome this

this is cleaner and avoids rebuilding initramfs in the kickstart post it is built with correct configuration for the node image the first time, in kernel posttrans --- dracut/Makefile.am | 3 + ...-3d88d27810acc7782618d67a03ff5c0e41494ca4.patch | 20 ++++++++ ...-93724aa28fc20c8b7f0167201d1759b7118ba890.patch | 37 +++++++++++++++ dracut/ovirt-dracut.conf

Requires "kdump support" patch for ovirt-node Signed-off-by: Alan Pevec <apevec at redhat.com> --- common-blacklist.ks | 2 +- common-pkgs.ks | 2 ++ ovirt-node-image.ks | 10 +++++++++- 3 files changed, 12 insertions(+), 2 deletions(-) diff --git a/common-blacklist.ks b/common-blacklist.ks index 2452237..af7fa07 100644 --- a/common-blacklist.ks +++

Since libvirt-cim is an alternate management tool, we're dropping it from the core ovirt-node image. It makes more sense as a plugin where all configuration and setup is kept separate to be used only by those that want the functionality. rhbz#727532 Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/common-pkgs.ks | 2 -- recipe/ovirt16-post.ks | 4 ----