similar to: vmstat and loadavg disagree about system load

Hi all, I have problems in a dataframe variables types. Look: from a loop function: for(...){ ... dados.fin <- rbind(dados.fin, c(L=j, A=j^2, Nsp=nsps, N=length(amosfin$SP), AmT="am",NAm=nam, AMST=amst)) dados.fin <- rbind(dados.fin, c(L=j, A=j^2,

On a server that's been experiencing some issues, I note the following in "vmstat -z": ITEM SIZE LIMIT USED FREE REQ FAIL SLEEP UMA Kegs: 208, 0, 188, 16, 188, 0, 0 UMA Zones: 3456, 0, 188, 0, 188, 0, 0 UMA Slabs: 568, 0, 1209668, 6211,50929964, 0, 0 UMA

On -STABLE as of Mon Jun 9 04:43:55 CEST 2003, "vmstat -s" shows on one of my boxes (uptime: 26 days): -1597015721 total name lookups cache hits (101% pos + 0% neg) system 0% per-directory deletions 0%, falsehits 0%, toolong 0% Weird. I'll have to cvsup again and hope this has been fixed :) -Regard, FH. -- Farid Hajji --

I made the mistake of looking at disk IO numbers in two different ways -- now I'm confused, because they give inconsistent answers. First way was using 'vmstat 10'. This gave me (apologies for wrapped lines): r b swpd free buff cache si so bi bo in cs us sy id wa st 2 0 2162944 4071928 162444 4218456 0 0 0 286 1103 528 3 2 95 0 0 1 0

All, One server of mine running CentOS 6.3. The load is very high, but few process in running or blocked. Followed is the output of /proc/stat, /proc/loadavg and top /proc/stat cpu 5351723 61716 6974590 161365578 240734 141769 380525 0 0 cpu0 4016881 9686 2510787 79408769 110721 141549 351075 0 0 cpu1 1334842 52029 4463802 81956808 130013 220 29449 0 0 intr 1081538370 139 8 0 0 0 0 0 0 0 0 0 0

Hi all, I just installed centos 5.4 xen-kernel on intel core i5 machine as dom0. After some hours of syncing a raid10 array (8 sata disk) I noticed a steadily increasing loadavg. I think without reasonable i/o wait or cpu utilization the loadavg on this system should be very lower. If this loadavg is normal I would be greatful if somone could explain why. The screenshots below show that there is

I have a SUSE 9.2 box running 3.0.3-testing-rc3, and dom0 and domU disagree on the cpu frequency. dom0 has two CPUs and domU one vcpu. dom0 says: model name : Intel(R) Pentium(R) III CPU family 1400MHz stepping : 1 cpu MHz : 1558.703 bogomips : 2800.85 domU says: model name : Intel(R) Pentium(R) III CPU family 1400MHz stepping : 1 cpu MHz

Full_Name: Paul Bailey Version: 2.3.1 OS: OS X (10.4.6) Submission from: (NULL) (128.135.133.123) according to cat's help file, "'cat' converts numeric/complex vectors in the same way as 'print' (and not in the same way as 'as.character' which is used by the S equivalent), so 'options' '"digits"' and '"scipen"' are

The tone of your email makes it look like you think the exact output of cat and print in these instances is irrelevant and not worth thinking about and that the documentation is `close enough,' or up to the (perhaps implied) R documentation standard. This is a reasonable stance. If you hold it, please just circular file my bug report as irrelevant and let's not waste any more time on it.

I have a situation where the parameter estimates from lrm identify a binary predictor variable ("X") as clearly non-significant (p>0.3), but the ANOVA of that same model gives X a chi^2-df rank of > 200, and adjudicates X and one interaction of X and a continuous measure as highly significant. The N is massive and X has two categories, each with > 100,000 observations.

After some feedback from Slow, mainly about the load_average API being a method rather than an ongoing statistic. So I've converted the code over to instead update the load average statistic on a regular basis.

I have a xen 3.0.2 running on a 733 MHz server, 1 GB RAM. It has two domU domains. dom0 has 512 MB, domUs have 256 MB each. Whenever load average on dom0 is above 1-2 (for example, compressing 200 MB file), I can''t reach any domU domain. Ping replies to domUs take very long time (it''s on LAN), and there are packet losses: 64 bytes from 192.168.11.61: icmp_seq=7 ttl=64

1) If I see the Loadavg more than 4 , whats the immediate solution to get it under 1 APART from restarting the server ? 2) I get too much of cross connections. Can Codec be the culprit ? I use g729. Can using GSM will solve the problem ? What could be the other reasons ? 3) Anyway to measure the bandwidth utilisation from the server ? -------------- next part -------------- An HTML attachment

Hi, I have a problem where Dovecot and its LDA seem to disagree on what character encoding should be used in Maildir names. I use Dovecot and Postfix on a Debian server. Mail is delivered by Dovecot LDA (called from .forward) and sorted according to a Sieve script into a number of Maildir folders in my home directory. Dovecot serves the mail over IMAP and I read it in Kmail. I originally

I am sure I am opening myself up to looking stupid, but I have two samples with medians of 613.5 and 189 (difference in location of 424 compared to the difference suggested from the wilcoxon of 291.5) > wilcox.test(pipwtCount,pipwdCount, conf.int=TRUE, na.rm=TRUE) Wilcoxon rank sum test data: pipwtCount and pipwdCount W = 822, p-value = 0.01227 alternative hypothesis: true location

I've noticed that glm and lrm give extremely different results if you attempt to fit a saturated model to a dataset with zero cells. Consider, for instance the data from, Agresti's Death Penalty example [0]. The crosstab table is: , , PENALTY = NO VIC DEF BLACK WHITE BLACK 97 52 WHITE 9 132 , , PENALTY = YES VIC DEF BLACK WHITE BLACK 6 11

I have used lme() on data from a between-within subjects experiment. The correct ANOVA table is known because this is a textbook example (Experimental Design by Roger Kirk Chapter 12: Split-Plot Factorial Design). The lme() F-values differ from the known results. Please help me understand why. d<-read.table("kirkspf2.dat",header=TRUE) for(j in 1:4) d[,j] <- factor(d[,j]) ### Make

I''ve run into an odd one on one of my new RHEL 6 boxes. Puppet and Facter seem to disagree about the value of a fact. Puppet version: 2.7.9 Facter version: 1.6.4 Module: puppetlabs-apache apache::params falls through its if structure: if $::osfamily == ''redhat'' or $::operatingsystem == ''amazon'' { ... } elsif $::osfamily ==

If I have data that I feed into shapio.test and jarque.bera.test yet they seem to disagree. What do I use for a decision? For my data set I have p.value of 0.05496421 returned from the shapiro.test and 0.882027 returned from the jarque.bera.test. I have included the data set below. Thank you. Kevin "Category","Period","Residual" "CHILD HATS, WIGS &

Hi everyone, I'm trying to perform a bi exponential Fit with the package NLS. the plinear algorithm seems to be a good choice see: p<-3000 q<-1000 a<--0.03 b<--0.02 t<-seq(0:144);t y<-p*exp(a*t) + q*exp(b*t)+rnorm(t,sd=0.3*(p* exp(a*t) + q*exp(b*t))) fittA <- nls(y~cbind(exp(a*t), exp(b*t)), algorithm="plinear",start=list(a=-.1, b=-0.2), data=list(y=y, t=t),