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CentOS Errata and Security Advisory 2005:881 https://rhn.redhat.com/errata/RHSA-2005-881.html The following updated files have been uploaded and are currently syncing to the mirrors: NOTES: latest perl security update didn't build 'out of box' for s390. I had to tweak the .spec file having commented out behaviour for test phase as in 'make test || /bin/true' to make it go

CentOS Errata and Security Advisory CESA-2005:881 perl security update for CentOS 3 i386: https://rhn.redhat.com/errata/RHSA-2005-881.html The following updated file has been uploaded and is currently syncing to the mirrors: i386: updates/i386/RPMS/perl-5.8.0-90.4.i386.rpm updates/i386/RPMS/perl-CGI-2.89-90.4.i386.rpm updates/i386/RPMS/perl-CPAN-1.61-90.4.i386.rpm

CentOS Errata and Security Advisory CESA-2005:881 perl security update for CentOS 3 x86_64: https://rhn.redhat.com/errata/RHSA-2005-881.html The following updated file has been uploaded and is currently syncing to the mirrors: x86_64: updates/x86_64/RPMS/perl-5.8.0-90.4.x86_64.rpm updates/x86_64/RPMS/perl-CGI-2.89-90.4.x86_64.rpm updates/x86_64/RPMS/perl-CPAN-1.61-90.4.x86_64.rpm

CentOS Errata and Security Advisory 2005:881 https://rhn.redhat.com/errata/RHSA-2005-881.html The following updated files have been uploaded and are currently syncing to the mirrors: files: updates/ia64/RPMS/perl-5.8.0-90.4.ia64.rpm updates/ia64/RPMS/perl-CGI-2.89-90.4.ia64.rpm updates/ia64/RPMS/perl-CPAN-1.61-90.4.ia64.rpm updates/ia64/RPMS/perl-DB_File-1.806-90.4.ia64.rpm

On some machines that haven't been updated for a while I'm getting: Errors reported doing trial run file /usr/bin/c2ph from install of perl-5.8.0-90.4 conflicts with file from package perl-5.8.0-89.10 for a ton of perl-related files. Hmmm... another machine that has had intermediate updates didn't complain but now says: # rpm -q perl perl-5.8.0-89.10 perl-5.8.0-90.4 Is that

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Hello, It's an alternative to use SAS by function in R? I want to plot d histograms by plot.from example bellow: Thank you! plot d 1 1 16.3 2 1 25.0 3 1 57.8 4 1 17.0 5 2 10.8 13 2 96.4 17 3 76.0 18 3 32.0 19 3 11.0 20 3 11.0 24 3 106.0 25 3 12.5 21 4 19.3 22 4 12.0 26 4 15.0 27 5 99.3 32 7 11.0 36

Hi all, I have this figure: http://docs.google.com/Doc?id=df5zfsj4_103rjt2v4d5 created with the following steps: > x [1] 90.4 57.8 77.0 103.7 55.4 217.5 68.1 85.3 152.0 113.0 97.1 89.9 [13] 68.1 83.7 77.4 34.5 104.9 170.3 88.6 88.1 108.8 77.4 85.6 82.7 [25] 81.3 108.0 49.5 71.0 85.7 99.3 203.5 275.9 51.1 84.8 16.5 72.6 [37] 160.5 158.3 136.7 140.0 98.4 116.1

Hello, Why does anova.lm sometimes return a p-value and at other times not ? Is it because it recognizes nested models from non-nested ones ? > x<-seq(1,100,1) > y<-3*x+rnorm(100) > anova(lm(y~x),lm(y~x+I(x^2)),test="F") Analysis of Variance Table Model 1: y ~ x Model 2: y ~ x + I(x^2) Res.Df RSS Df Sum of Sq F Pr(>F) 1 98 90.449 2 97 90.288 1

Hi, Suppose I have the following vector (data points): > x [1] 36.0 57.3 73.3 92.0 300.4 80.9 19.8 31.4 85.8 44.9 24.6 48.0 [13] 28.0 38.3 85.2 103.6 154.4 128.5 38.3 72.4 122.7 123.1 41.8 21.7 [25] 143.6 120.2 46.6 29.2 44.8 25.0 57.3 96.4 29.4 62.9 66.4 30.0 [37] 24.1 14.8 56.6 102.4 117.5 90.4 37.2 79.6 27.8 17.1 26.6 16.3 [49] 41.4 48.9 24.1

Hi all I am trying to generate a normal unbalanced data to estimate the coefficients of LM, LMM, GLM, and GLMM and their standard errors. Also, I am trying to estimate the variance components and their standard errors. Further, I am trying to use the likelihood ratio test to test H0: sigma^2_b = 0 (random effects variance component), and the t-test to test H0:mu=0 (intercept of the model Yij = mu

Can you post the source code of your test case? Gan On Fri, Dec 2, 2011 at 1:44 PM, <liyi at cs.toronto.edu> wrote: > Hi, > > Could anyone tell me how exactly do I use "Type Based Alias Analysis"? > > I compiled the C program with Clang, and verified that there is tbaa > metadata in the IR code. > > But then when I use "opt -tbaa input.c.bc

Hi, I have a few questions about glht() and the interpretation of output from Tukey's in multcomp package for lme() model. The main issue is that I noticed that a plot that I produced with code letters seem to contradict the graph itself. I provide data and code below. I end with my questions. A few things about data set. "LMA.vcp" is continuous response variable.

Hi All, I''ve just built an 8 disk zfs storage box, and I''m in the testing phase before I put it into production. I''ve run into some unusual results, and I was hoping the community could offer some suggestions. I''ve bascially made the switch to Solaris on the promises of ZFS alone (yes I''m that excited about it!), so naturally I''m looking

Hi, Could anyone tell me how exactly do I use "Type Based Alias Analysis"? I compiled the C program with Clang, and verified that there is tbaa metadata in the IR code. But then when I use "opt -tbaa input.c.bc -aa-eval" to check the results, it always gives 100% may aliasing no matter what input. Am I using "tbaa" correctly? Thanks. Yi

Pre-fletching on the file and device level has been disabled yielding good results so far. We''ve lowered the number of concurrent ios from 35 to 1 causing the service times to go even lower (1 -> 8ms) but inflating actv (.4 -> 2ms). I''ve followed your recommendation in setting primarycache to metadata. I''ll have to check with our tester in the morning if it made

Both get.hist.quote, and its derivative priceIts, rely on download.file() to fetch financial data series from Yahoo! in .csv format. They allow for nice interactive demonstrations of what one can do with R. Unfortunately, both are currently broken as Yahoo! decided to add a somewhat useless html comment at the end of the csv 'stream', breaking the regular format of n rows with k columns.

I''m running into a issue where there seems to be a high number of read iops hitting disks and physical free memory is fluctuating between 200MB -> 450MB out of 16GB total. We have the l2arc configured on a 32GB Intel X25-E ssd and slog on another32GB X25-E ssd. According to our tester, Oracle writes are extremely slow (high latency). Below is a snippet of iostat: r/s w/s

Dear Community, I have been using two types of survival programs to analyse a data set. The first one is an R function called aftreg. The second one an STATA function called streg. Both of them include the same analyisis with a weibull distribution. Yet, results are very different. Shouldn't the results be the same? Kind regards, J -- View this message in context: