similar to: Creating a network bridge with multiple interfaces

Hi, I have a fc14 box with two interfaces that I'm having some difficulty setting up a bridge properly. I have a few kvm guests set up and running, but I've switched from using NetworkManager to using standard networking with a bridge. I've modified the ifcfg-eth0 and created ifcfg-br0 as per the standard documentation, but I think I'm having routing problems. This is what the

http://bugzilla.netfilter.org/show_bug.cgi?id=742 Summary: ip6tables "-m iprange" ipv6 range detection Product: netfilter/iptables Version: linux-2.6.x Platform: x86_64 OS/Version: SuSE Linux Status: NEW Severity: critical Priority: P5 Component: ip6_tables (kernel) AssignedTo:

what i am doing wrong? My vethX of xend-dom0 dont start. ---- dcgs0058:~# lspci |grep Ether 0000:06:07.0 Ethernet controller: Intel Corp. 82541GI/PI Gigabit Ethernet Controller (rev 05) 0000:07:08.0 Ethernet controller: Intel Corp. 82541GI/PI Gigabit Ethernet Controller (rev 05) dcgs0058:~# ifconfig eth0 Link encap:Ethernet HWaddr 00:13:72:4E:7E:B3 inet addr:172.28.0.200

Hi I''ve got a (gentoo) box set up for xen, 2.6.21-xen kernel as per portage about 2 weeks ago. Already got all my guests set up and almost good to go, except for very erratic networking issues. Networking on the domU''s does not always work. I have set up two physical adapters, and bridged both (by use of the modified network-bridge script from the archives) adapters for use

Dear R-helpers, I can not invoke maxent() in Mac OSX. Could you give me any directions on that? Thank you in advance. Here is my info: # (1) the error > me <- maxent(predictors, occtrain, factors='biome') me <- maxent(predictors, occtrain, factors='biome') Error in .jcall(mxe, "S", "fit", c("autorun", "-e", afn, "-o",

Hi: I need some help. I am ploting a bar graph but I can't adjust my x axis scale I use this code: i <- qplot(ForkLength,Number,data=FL,geom="bar") i + geom_bar(colour="blue",fill="grey65") # too crowded FL_dat <- ggplot(FL,aes(x=ForkLength,y=Number)) + geom_bar(colour="green",fill="grey65") FL_dat +

Hi. I used VMware Standalone converter 5.5 to convert a CentOS 5.3 machine from a Physical server to a Virtaul Machine on ESXi 5.1 . Thus far with every attempt to convert this machine I get a "Kernel panic" mount: could not find filesystem '/dev/root' setuproot: moving /dev failed: No such file or directory setuproot: error mounting /proc failed: No such file or directory

Hi everyone, I am trying to do a Cold Migration with Xen, Ubuntu 12.04 and virtual machines with Ubuntu 10.04. This is my cfg file to create the VM on the primary node: # cat ubuntu.c cat: ubuntu.c: Arquivo ou diretório não encontrado root@cloud9:/etc/xen# cat ubuntu.cfg name = "ubuntu" memory = 256 disk = [''phy:/dev/vg_datastore/lv_datastore,xvda,w''] vif = [''

Hi, I would like to plot time against rainfall data (data is at the end) using xyplot. The basic code looks like this: xyplot(rainfall~time, type="a") When I do this, the graph looks ok except that the x-axis has too many values. I would just like to display the years and not the months on the x-axis. I've been fiddling around with 'scales', and read previous posts about

Dear all, For estimating Cobb-Douglad production Function [ Y = ALPHA * (L^(BETA1)) * (K^(BETA2)) ], i want to use nls function (without linearizing it). But how can i get initial values? ------------------------------------ > options(prompt=" R> " ) R> Y <- c(59.6, 63.9, 73.5, 75.6, 77.3, 82.8, 83.6, 84.9, 90.3, 80.5, 73.5, 60.3, 58.2, 64.4, 75.4, 85, 92.7, 85.4,

Hi, I have a question about estimating IRT models by using nlme, not just rasch model, but also other models. Behavior Research Methods <http://www.springerlink.com/content/1554-351x/> Volume 37, Number 2 <http://www.springerlink.com/content/1554-351x/37/2/>, 202-218, DOI: 10.3758/BF03192688 Using SAS PROC NLMIXED to fit item response theory models (2005). Ching-Fan

Hi, if i have data in the following time series format: time, amount, state 1 2222 A 1 333 B 2 45 A 2 77 B where states could be n and time periods t is there a package in R that would calculate the transition probabilities in a markov chain. for each t except t=0 to generate A B A B perhaps the best structure might