similar to: strange sar statistics: total CPU 90% in userspace, but CPU 0 and 1 only 1%

R-Helpers, I'm sorry to have to ask this -- I've not used R very much in the last 8 or 10 months, and I've gotten rusty. I have the following (ff2 is a subset of a much, much larger dataset): > ff2 hostName user sys idle obsTime 10142 fred 0.4 0.5 98.0 2007-11-01 02:02:18 16886 barney 0.5 0.2 94.6 2007-10-25 19:12:12 8795 fred 0.0 0.1 99.8

List users, Using Asterisk in an inbound call center environment has led us to pushing the limits of vertical scaling. In order to treat each caller fairly and to utilize our agents as efficiently as possible, it is desirable to configure each client as a single queue. As far as I know, Asterisk's queues cannot be distributed across servers, so the size of the largest queue we service

Hi All, We have a xen server and using 8 core processor. I can see that there is 99% iowait on only core 0. 02:28:49 AM CPU %user %nice %sys %iowait %irq %soft %steal %idle intr/s 02:28:54 AM all 0.00 0.00 0.00 12.65 0.00 0.02 2.24 85.08 1359.88 02:28:54 AM 0 0.00 0.00 0.00 96.21 0.00 0.20 3.19 0.40 847.11 02:28:54 AM

Anyone know how to get statistics on bonded interfaces? I have a system that does not use eth0-3, rather we have bond0, bond1, bond2. The members of each bond are not eth0-3, rather they are eth6, eth7, etc. I didn't see anything in the man page about forcing sar to collect data on specific network interfaces.

I would like to undertake a Spatial autoregression with count data, how can I specify a negative binomial distribution? I am using the lagsarlm function in the spdep package. Thanks Julie -- View this message in context: http://www.nabble.com/SAR-with-count-data-tf1936174.html#a5304944 Sent from the R help forum at Nabble.com.

Hi all, Using XenServer with a RHEL6 beta VM, I have sar installed on the hypervisor and VM. If I do a ''md5sum < /dev/urandom'' to spike CPU usage on the VM, I see the indication on the XenCenter performance graph on CPU 0. It does increase quickly. Neither sar output gives any sort of indication that the CPU is being loaded. This VM is pinned to both processor 0 and 1

We have CENTOS 5.3 on DELL server. I tried to use "sar -b" or "sar -u" and it only show report starting on 12:00 A.M. my questions are: 1. for "sar -u" or "sar -b" how can I generate two or three days ago report? 2. how to generate daily report from "sa2 " peocess? Thanks. ___________________________________________________ ??????? ?

Sar -d reports devices like dev253-0. How can I map these to a mount point? I use a mixture of lvm with ext3 filesytems, plain ext3 filesystems on local storage, and ext3 filesystems on powerpath devices. Any help would be appreciated. _____________________________________ "He's no failure. He's not dead yet." William Lloyd George -------------- next part

Hi everyone, How can i obtain R2 for SAR model? and how can i validate the results, can i use the coefficients directly in a simple formula like y=b0+b1*x1+... or do i have to use the complicated formula for SAR (the one with the weight matrix and rho and...)?   Thanks for any help!  [[alternative HTML version deleted]]

Hi! I'm very new user of R! I need to learn more about! My problems are to create a time series with exiting data and to make an study: 1 ) I have column with DD-MM-YR, to transform from string text to date, and use it as to use as time series, I've made the transformation with command "as.date" but how i can say To R that the column "date" is the time column to

Folks, At what point in iowait should I start to worry about having a bottleneck, or is this something that can't be answerd with a single integer? According to sar, after my last reboot to turn off hyperthreading as a test, at one time, I see 4.9% iowait, but then one minute later, it droped back to 0.01%, and rarely even gets to 1.0%, at least what I remember from yesterday. ?

Any help with this problem would be very much appreciated (even "it's not 7.3 or ext3 pointers, look somewhere else"). I've seen a similar post to ext3-users, but since that one received no reply and I'm not convinced it's a ext3 problem (it only appears on our 7.3 hosts) , I'm CCing to the valhalla list. We have the same problem on ALL our Redhat 7.3 machines

Hi Jack >               dragonegg degg+vectorize degg+optnz  gfortran > ac               12.45       12.45         8.85       8.80 > gas_dyn          11.72       11.80         4.47       4.26 > induct           24.02       24.91        12.08      13.65 > rnflow           32.25       32.35        26.47      24.06 Any idea what might cause such differences here? -- With best

Hi Anton, >> dragonegg degg+vectorize degg+optnz gfortran >> ac 12.45 12.45 8.85 8.80 >> gas_dyn 11.72 11.80 4.47 4.26 >> induct 24.02 24.91 12.08 13.65 >> rnflow 32.25 32.35 26.47 24.06 > Any idea what might cause such differences

Attached are the Polyhedron 2005 benchmark results for current llvm/dragonegg svn on x86_64-apple-darwin11 built against Xcode 4.3.2 and FSF gcc 4.6.3. The benchmarks for -msse3 and -msse4 appear identical (at least for degg+optnz). This is fortunate since there seems to be a bug in -msse4 on 2.33 GHz (T7600) Intel Core 2 Duo Merom (http://llvm.org/bugs/show_bug.cgi?id=12434).

Hi Jack, > Attached are the Polyhedron 2005 benchmark results for current llvm/dragonegg svn > on x86_64-apple-darwin11 built against Xcode 4.3.2 and FSF gcc 4.6.3. thanks for the numbers. How does this compare to LLVM 3.0 - were there any regressions? Ciao, Duncan. The benchmarks > for -msse3 and -msse4 appear identical (at least for degg+optnz). This is fortunate > since

Dear group, I have 3 data frames I would like to merge. Here they are: pose16 <- structure(list(DESCRIPTION = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 12L), .Label = c("COPPER May/10", "COTTON NO.2 Jul/10", "CRUDE OIL miNY May/10", "GOLD Jun/10", "ROBUSTA COFFEE (10) Jul/10", "SOYBEANS Jul/10", "SUGAR NO.11

Dear R-helpers, I have two data frames, op and em4: > str(op) 'data.frame': 37 obs. of 5 variables: $ m : num 0.202 0.336 0.122 0.139 0.14 ... $ lln : num 0.798 0.643 0.863 0.835 0.823 ... $ rrn : num 0.789 0.702 0.894 0.895 0.923 ... $ asym2: num 0.177 0.304 0.108 0.187 0.274 ... $ asym3: num 0.0755 0.0975 0.0818 0.0651 0.13 ... > str(rownames(op)) chr

On Sat, 2011-10-29 at 15:16 -0500, Hal Finkel wrote: > On Sat, 2011-10-29 at 14:02 -0500, Hal Finkel wrote: > > On Sat, 2011-10-29 at 12:30 -0500, Hal Finkel wrote: > > > Ralf, et al., > > > > > > Attached is the latest version of my autovectorization patch. llvmdev > > > has been CC'd (as had been suggested to me); this e-mail contains > >

Attached are the Polyhedron 2005 benchmark results for current llvm/dragonegg svn on x86_64-apple-darwin11 built against Xcode 4.3.2 and FSF gcc 4.6.3. The benchmarks for -msse3 and -msse4 appear identical (at least for degg+optnz). This is fortunate since there seems to be a bug in -msse4 on 2.33 GHz (T7600) Intel Core 2 Duo Merom (http://llvm.org/bugs/show_bug.cgi?id=12434). I've added two