similar to: assign object with loop (translation from SAS to R)

Hi all, Someone played with kickstart bonding with centos 6.4 ? CentOS 6.4, as upstream now support ifcae bonding in kickstart network section. I've an issue with configuring a second bonding iface in kicstart on CentOS 6.4. The first bonding (bond0) works as espected but the second is not configured during installation. I've a 6 nic server (two for "puclic" network, two for

Hello, I'm pretty new to R. Basically, how do I speed up the for loop below. Or better yet, get rid of the for loop all together. objective: plot two data sets column against column by index. These data sets have alot NA's. Some columns are all NA's. I need the plots to overlay. I don't like the plots in matplot(). Needs to be much faster than the code below... #simple sample

Hi list, I've recently managed to install CentOS 4.4 on an Apple Mac Pro. Functionality-wise everything works great, but when trying to benchmark the system, I don't get stable runtimes, they differ by more than 30%. For example a benchmark run with our PDE solving code takes between 500 and 800 s on the completely unloaded machine. Suspicious kernel output (complete output attached):

hi, folks: i need to transpose the following data: gene tissue patient1 patient2 patient3..... --------------------------------------------- gene1 breast 10 100 1 gene2 breast 20 200 4 gene3 breast 30 50 5 gene4 breast 40 400 9 ................................ to the

Hello All, I have one CentOS 6 KVM virtualization server that I built around a year ago (best I can tell it was in October 2012) at which time I would have been installing 6.3 [0]. That particular install used the Consistent Network Device Naming [1] conventions (PCIe NICs are p1p1, p1p2). I started to build out a new KVM virt server (kickstarting a 6.4 install now as compared to 6.3 back then)

Hi, I have a data-matrix: > PID sato hrs fim health 214 3 4.376430 6.582958 5 193 6 4.361825 3.138525 6 8441 6 4.205771 3.835886 7 7525 6 4.284489 3.245139 6 6806 7 4.168926 2.821833 7 5682 7 1.788707 1.212653 7 5225 6 1.651463 1.436980 7 4845 6 1.692710 1.267359 4 4552 5 1.686448 1.220539 6

On 7/2/2015 3:42 AM, Gene Cumm wrote: > This has me thinking your build system has a negative interaction. > There should be at least 2 lines of output prior to loading > ldlinux.e64. gcc less than 4.7 is one problem for the EFI binaries. This could be my problem. I'm using gcc version 4.4.7 20120313 (Red Hat 4.4.7-11) (GCC). I will attempt from a new version of gcc and report.

Dear R users, I have a problem with reshaping data. I know such questions have been asked before, but I can't get it right, neither with the reshape function nor with the melt function. My dataset has about 407 variables and about 48000 cases. Each case looks as follows: V1 v2 v3 v4 v5 v6 v7 x1 y1 x2 y2 .... x200 y200 V1 is unique, v2-v7 are

library(dplyr) DM <- read.table( text='GR x y A 25 125 A 23 135 . . . ) DM %>% filter((GR == "A" & (x >= 15) & (x <= 30)) | (GR == "B" & (x >= 40) & (x <= 50)) | (GR == "C" & (x >= 60) & (x <= 75))) On Fri, Dec 8, 2017 at 4:48 PM, Ashta <sewashm at gmail.com>

Hello, Listers I'm trying to run blloean logit model with R. My code is: > library(boolean) > library(foreign) > pr <- read.dta ("prcore1.dta") > bp <- boolprep ("(a&b)|c", "cwt", a="O1", b="t", c="DM2 > + ah + md + con + n3 + rel + slo + pyrs > + sp1 + sp2 + spl3") > answer <- boolean (bp, link =

I've looked through all of the posts about this issue (and there are plenty!) but I am still unable to solve the error. ERROR: cannot allocate vector of size 455 Mb I am using R 2.6.2 - x86_64 on a Linux x86_64 Redhat cluster system. When I log in, based on the specs I provide [qsub -I -X -l arch=x86_64] I am randomly assigned to a x86_64 node. I am using package GenABEL. My data (~ 650,000

Hi Listers, This has a simple answer but it has been eluding me nonetheless. I have been building a PCA plot from scratch with the ability to plot predefined groups in different colors. This has worked fine but when I try to get a polygon drawn around each of the groups it is not recognising my colour file correctly and is only printing the first colour in the file....code is below

Dear gurus, Three DELL SC430s were purchased by my company a few months back and I've been told that when they spoke with the DELL representatives, they were informed that these servers were fully RHEL 4.0 compatible. Specs of the servers:- - Pentium 4 - 2.8 GHz - 1 GB RAM - 2x 250GB SATA HDDs I tried installing CentOS 4.0 on it but it doesn't seem to be able to detect any hard

Hello, I have a CentOS 7.3 + updates server where my configuration arises from the need to connect via iSCSI to a Dell PS Series storage array and Dell not supporting bonding. So that I need to use 2 nics on the same vlan to connect to iSCSI portal IP and then use multipath. Also, the iSCSI lan is on a dedicated vlan I have only these 2 x 10Gbit adapters and I also need to put other vlans on them

I''m running Xen 4.1.4 on Fedora 17. I have some CentOS 6 DomUs - an haproxy machine and some tomcat VMs. When clients send requests with: POST /ProposalInterface HTTP/1.1 Content-Type: text/xml Host: www.myhost.co.uk Content-Length: 2099 Expect: 100-continue Connection: Keep-Alive The "continuation" doesn''t happen. The POST is truncated at 1449 bytes, and the

I'm setting up UEFI booting and got to the point of having the system talk to the dhcpd/tftpd server, grab the first image files (syslinux.efi) and then continuously request the secondary image file (ldlinux.e64). I'm wondering if I'm missing something or if someone can point me in the right direction of trouble shooting this. The tftp root has all the files to boot a BIOS type

?s 15:51 de 04/08/2018, I?aki ?car escreveu: > El s?b., 4 ago. 2018 a las 15:32, Rui Barradas > (<ruipbarradas at sapo.pt>) escribi?: >> >> Hello, >> >> Maybe I am not understanding how negative indexing works but >> >> 1) This is right. >> >> (1:10)[-1] >> #[1] 2 3 4 5 6 7 8 9 10 >> >> 2) Are these right? They

Thanks. This is exactly the doubt I had. Rui Barradas ?s 05:26 de 05/08/2018, Kenny Bell escreveu: > This should more clearly illustrate the issue: > > c(1, 2, 3, 4)[-seq_len(4)] > #> numeric(0) > c(1, 2, 3, 4)[-seq_len(3)] > #> [1] 4 > c(1, 2, 3, 4)[-seq_len(2)] > #> [1] 3 4 > c(1, 2, 3, 4)[-seq_len(1)] > #> [1] 2 3 4 > c(1, 2, 3, 4)[-seq_len(0)]

El dom., 5 ago. 2018 a las 6:27, Kenny Bell (<kmbell56 at gmail.com>) escribi?: > > This should more clearly illustrate the issue: > > c(1, 2, 3, 4)[-seq_len(4)] > #> numeric(0) > c(1, 2, 3, 4)[-seq_len(3)] > #> [1] 4 > c(1, 2, 3, 4)[-seq_len(2)] > #> [1] 3 4 > c(1, 2, 3, 4)[-seq_len(1)] > #> [1] 2 3 4 > c(1, 2, 3, 4)[-seq_len(0)] > #>

Hi, You could try: A<- matrix(unlist(read.table(text=" 1 2 3 4 5 6 7 8 9 9 8 7 6 5 4 3 2 1 ",sep="",header=FALSE)),ncol=3,byrow=FALSE,dimnames=NULL) library(matrixStats) ?res1<-t(sapply(split(as.data.frame(A),as.numeric(gl(nrow(A),2,6))),colProds)) ?res1 #? [,1] [,2] [,3] #1??? 4?? 10?? 18 #2?? 63?? 64?? 63 #3?? 18?? 10??? 4