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CentOS Errata and Security Advisory 2008:0003 https://rhn.redhat.com/errata/RHSA-2008-0003.html The following updated files have been uploaded and are currently syncing to the mirrors: s390: updates/s390/RPMS/e2fsprogs-1.35-12.11.c4.1.s390.rpm updates/s390/RPMS/e2fsprogs-devel-1.35-12.11.c4.1.s390.rpm s390x: updates/s390x/RPMS/e2fsprogs-1.35-12.11.c4.1.s390x.rpm

CentOS Errata and Security Advisory 2008:0003 https://rhn.redhat.com/errata/RHSA-2008-0003.html The following updated files have been uploaded and are currently syncing to the mirrors: x86_64: e2fsprogs-1.35-12.11.el4_6.1.i386.rpm e2fsprogs-1.35-12.11.el4_6.1.x86_64.rpm e2fsprogs-devel-1.35-12.11.el4_6.1.x86_64.rpm src: e2fsprogs-1.35-12.11.el4_6.1.src.rpm -------------- next part

Duncan, With the commit from http://lists.cs.uiuc.edu/pipermail/llvm-commits/Week-of-Mon-20121203/158488.html, the Polyhedron 2005 benchmarks complete again on x86_64-apple-darwin12. The result are similar to what were seen with FSF gcc 4.6.2svn and llvm/dragonegg 3.0 (which was the last release that passed pb05) http://lists.cs.uiuc.edu/pipermail/llvmdev/2011-October/044091.html. Jack

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Hi Jack, thanks for these numbers. > With the commit from http://lists.cs.uiuc.edu/pipermail/llvm-commits/Week-of-Mon-20121203/158488.html, > the Polyhedron 2005 benchmarks complete again on x86_64-apple-darwin12. The result are similar to what > were seen with FSF gcc 4.6.2svn and llvm/dragonegg 3.0 (which was the last release that passed pb05) >

CentOS Errata and Security Advisory 2008:0003 https://rhn.redhat.com/errata/RHSA-2008-0003.html The following updated files have been uploaded and are currently syncing to the mirrors: i386: e2fsprogs-1.35-12.11.el4_6.1.i386.rpm e2fsprogs-devel-1.35-12.11.el4_6.1.i386.rpm src: e2fsprogs-1.35-12.11.el4_6.1.src.rpm -------------- next part -------------- A non-text attachment was scrubbed...

To anyone who can help: I have two brief questions concerning sapply. Following below is the code for my example. The two problems are described at the end of the code: site <- rep(2:6, each = 12) tillage <- rep(c(1,-1), each = 6, times = 5) carbon <- c(18.23, 16.06, 17.81, 16.07, 17.26, 17.08, 14.92, 15.88, 12.11, 14.23, 16.99, 13.57, 20.34, 20.3,

https://bugs.freedesktop.org/show_bug.cgi?id=59474 Priority: medium Bug ID: 59474 Assignee: nouveau at lists.freedesktop.org Summary: fedora 18 X server crashes after boot QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified OS: Solaris Reporter: dax at enst.fr

CentOS Errata and Security Advisory 2008:0003 https://rhn.redhat.com/errata/RHSA-2008-0003.html The following updated files have been uploaded and are currently syncing to the mirrors: ia64: updates/ia64/RPMS/e2fsprogs-1.35-12.11.c4.1.ia64.rpm updates/ia64/RPMS/e2fsprogs-devel-1.35-12.11.c4.1.ia64.rpm -- Pasi Pirhonen - upi at iki.fi - http://pasi.pirhonen.eu/ Top-postings silently ignored

The aggregate function for some reason will now work for me. The error I'm getting is: "Error in sort.list(y) : 'x' must be atomic for 'sort.list' Have you called 'sort' on a list?" agPriceList=aggregate(PriceList$Size, list(PriceList$bandNum),sum) *Price list dataframe:* dput(PriceList) structure(list(Price = c(0, 8.18, 8.27, 10.42, 10.5, 10.6, 11.13,

Looks working. [root at mail ~]# ls -lh / total 72K -rw------- 1 root root 8.0K Mar 13 09:56 aquota.group -rw------- 1 root root 7.0K Mar 13 09:56 aquota.user .... [root at mail ~]# repquota -a *** Report for user quotas on device /dev/vda1 Block grace time: 7days; Inode grace time: 7days Block limits File limits User used soft hard

I am puzzled at the use of regression. I have a categorical variable ClassePop33000 which factors a Population variable into 3 levels. I want to investigate whether that categorical variable has some relation with my dependent variable, so I go : lm(Cout.ton ~ ClassePop33000, data=ech2) Call: lm(formula = Cout.ton ~ ClassePop33000, data = ech2) Residuals: Min 1Q Median 3Q

Hello I believe that I'm getting very close in my modeling application. I've come across a challenge that I am unable to solve and would really appreciate the group's opinion. I've been using the val.prob function from the Design library (Thanks Frank!!) to both evaluate and visualize my model. From the scores and graph, it appears as my model is very accurate in

Hello, I am using the Ljung Box test in R to compute if the resiudals of my fitted model is random or not. I am not sure though what the results mean, I have looked at various sources on the internet and have come up with contrasting explanations (mainly because these info deal with different program languages, like SAS, SPSS, etc). I know that my residuals should appropriate white noise( is

hello, I'd like know how to sort a data frame in R for example how I should do to sort by Catholic with swiss data frame like below thanks Fertility Agriculture Examination Education Catholic Infant.Mortality Courtelary 80.2 17.0 15 12 9.96 22.2 Delemont 83.1 45.1 6 9 84.84 22.2

Duncan, Here are the complete benchmarks rerun against gcc 4.5.4 built with... Using built-in specs. COLLECT_GCC=gfortran-fsf-4.5 COLLECT_LTO_WRAPPER=/sw/lib/gcc4.5/libexec/gcc/x86_64-apple-darwin11.0.0/4.5.4/lto-wrapper Target: x86_64-apple-darwin11.0.0 Configured with: ../gcc-4.5.4/configure --prefix=/sw --prefix=/sw/lib/gcc4.5 --mandir=/sw/share/man --infodir=/sw/lib/gcc4.5/info

R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =

I think the subject says it all. I want to make a simple lattice plot, using xyplot with the argument type=c("l","a"). The problem then is that in the resulting plot it is difficult/impossible to see which plot corresponds to the average and which to the individual profiles. I triedthings like extra arguments lwd=c(1,3) or col=c("blue","red") hoping

On Thu, Jun 09, 2011 at 03:44:40PM +0200, Duncan Sands wrote: > Hi Jack, thanks for doing this. > >> Below are the tabulated compile times and executable sizes. >> >> A) gcc 4.5.4svn using -msse3 -ffast-math -O3 -fno-tree-vectorize >> B) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize -fplugin-arg-dragonegg-enable-gcc-optzns >> C)