similar to: Does libvirt support HyperV Server 2012?

On 12.12.2014 14:17, Pillai, Padmakumar wrote: > Hi, > > I wanted to know whether libvirt-1.2.10 supports HyperV Server 2012 > and/or SCVMM Server 2012. > > There is a requirement for us to deploy a VHD image to the HyperV Server > 2012 SP2. We are planning to do this using libvirt-1.2.10. > Yes it can: https://libvirt.org/drvhyperv.html The basic HyperV support was

Trying to use virsh for hyperv and getting this. virsh # connect hyperv://172.168.1.111:5985/?transport=http Enter username for 172.168.1.111 [administrator]: administrator Enter administrator's password for 172.168.1.111: 2013-04-29 10:36:48.690+0000: 13991: error : hypervDebugHandler:1444 : openwsman error: NULL response error: Failed to connect to the hypervisor error: internal error

Hi there, Does LibVirt support Microsoft HyperV Server 2012? If not, what is plan to support the same? Thanks. -- Tejas Sumant -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://listman.redhat.com/archives/libvirt-users/attachments/20130329/27534b8a/attachment.htm>

Hello, Does anyone know if the below patch for libvirt 1.2.4 has been integrated into the libvirt 1.2.6 source code? http://www.redhat.com/archives/libvir-list/2014-May/msg00509.html https://github.com/vikhyath/libvirt-hyperv-r2-2012 Thank you! Evgeny

Hi, I'm trying libvirt to connect to Hyper-V servers. It works fine for Hyper-V 2012 servers, however it doesn't work for Hyper-V 2008 R2 (the exact error is | Call to virConnectOpenAuth failed: internal error: Transport error during enumeration: Could not connect (7) (Libvirt::ConnectionError)|.). I'm using the code provided by libvirt documentation

Dear All, I would be very appreciative of your help with the following 1). I am running multivariate multiple regression through the manova() function (kindly suggested by Professor Venables) and getting two different answers for test=c("Wilks","Roy","Pillai") and tests=c("Wilks","Roy",'"Pillai") as shown below. In the

I just finished a MANOVA test and got the following output: > summary(M, test="Pillai") Df Pillai approx F num Df den Df Pr(>F) as.factor(X) 3 1.1922 6.5948 36 360 < 2.2e-16 *** Residuals 129 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' '

Dear list, I use Sweave almost exclusively for writing papers, and I have become quite spoiled by the excellent xtable export facilities. Has anybody written an xtable method for the Anova function in CAR, or has anybody used a different set of functions to import Anova results into a table in an Sweave document? If not, any handy hints on how to write a good homebrew based on the output of Anova

Hello, I've announced a new tool for Hyper-V called "Set-LinuxVM". What you can do with ?Set-LinuxVM?: *1)* Unattended IP, Hostname and DNS configuration for Linux VMs. *2)* Automatic Linux integration components installation. *3)* Multi Distro Support: Debian, Ubuntu, Centos, Fedora, Redhat and Suse! *4)* Automatic CPanel installation for Redhat and Centos *5)* Linux VM Template

Hello, I've announced a new tool for Hyper-V called "Set-LinuxVM". What you can do with ?Set-LinuxVM?: *1)* Unattended IP, Hostname and DNS configuration for Linux VMs. *2)* Automatic Linux integration components installation. *3)* Multi Distro Support: Debian, Ubuntu, Centos, Fedora, Redhat and Suse! *4)* Automatic CPanel installation for Redhat and Centos *5)* Linux VM Template

Hi, Suppose I have: > summary(manova(plank.man)) Df Pillai approx F num Df den Df Pr(>F) plankton.new[, 1] 1 0.5267 9.8316 6 53 2.849e-07 *** Residuals 58 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 My understanding is the MANOVA summary returns a list.

Dear all, is there anyone who can help me extracting p-values from an Anova object from the car library? I can't seem to locate the p-values using str(result) or str(summary(result)) in the example below > A <- factor( rep(1:2,each=3) ) > B <- factor( rep(1:3,times=2) ) > idata <- data.frame(A,B) > fit <- lm( cbind(a1_b1,a1_b2,a1_b3,a2_b1,a2_b2,a2_b3) ? sex,

Hi.? There appears to be a bug in R function manova.? My friend and I both ran it the same way as shown below (his run) with the shown data set. His results are shown below. we both got the same results.? I was running with R 2.3.1. I'm not sure what version he used. Thanks very much, David Booth Kent State University -----Original Message----- From: dvdbooth at cs.com To: kberk at

Hello, I had a couple questions about manova modeling in R. I have calculated a manova model, and generated a summary.manova output using both the Wilks test and Pillai test. The output is essentially the same, except that the Wilks lambda = 1 - Pillai. Is this normal? (The output from both is appended below.) My other question is about the use of MANOVA. If I have one variable which has a

Dear list member, My question is related to input file format to an Anova from car package. Here is an example of what I did: My file format is like this (and I dislike the idea that I will need to recode it): Hormone day Block Treatment Plant Diameter High N.Leaves SH 23 1 1 1 3.19 25.3 2 SH 23 1 1 2 3.42 5.5 1 SH 23 1 2 1 2.19 5.2 2 SH 23 1 2 2 2.17 7.6 2 CH 23 1 1 1 3.64 6.5 2 CH 23 1 1 2

Dear all, I met a problem while doing SEM by sem package. I got a negative chi-square of null model. Because the theoretical value of chi-square cannot be negative, I checked the source code of sem.R in sem package and I found the Chi-square of null model was computed by the following expression: result$chisqNull <- (N - 1) * (sum(diag(S %*% diag(1/diag(S)))) + log(prod(diag(S)))) I think

Hi all, I have received the following error from summary.manova: Error in summary.manova(manova.test, test = "Pillai") : residuals have rank 36 < 64 The data is simulated data for 64 variables. The design is a 2*2 factorial with 10 replicates per treatment. Looking at the code for summary.manova, the error involves a problem with qr(). Does anyone have a suggestion as to how to

Hello everybody After doing a MANOVA on a bunch of data, I want to be able to make some comment on the amount of variation in the data that is explained by the factor of interest. I want to say this in the following way: XX% of the data is explained by A. I can acheive something like what I want by doing the following: X <- structure(c(9, 6, 9, 3, 2, 7), .Dim = as.integer(c(3,

Hi, On a few of the hpc cluster nodes, i am seeing a new lustre error that is pasted below. The volumes are working fine and there is nothing on the oss and mds to report. LustreError: 5080:0:(import.c:607:ptlrpc_connect_interpret()) data3-OST0000_UUID at 192.168.2.98@tcp changed handle from 0xfe51139158c64fae to 0xfe511392a35878b3; copying, but this may foreshadow disaster

My system: Suse 9.3 Prof. I downloaded Wine: wine-0.9.7-SuSELinux100.i586.rpm. I get the message libstdc++.so.6 not available. What can I do? Please note: I am not a linux expert. What little I know, I acquired by myself. Regards, suren -- The woods are lovely dark and deep But I have promises to keep And miles to go before I sleep And miles to go before I sleep (Robert Frost)