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CentOS Errata and Security Advisory CESA-2009:1134 seamonkey security update for CentOS 3 x86_64: https://rhn.redhat.com/errata/RHSA-2009-1134.html The following updated file has been uploaded and is currently syncing to the mirrors: x86_64: updates/x86_64/RPMS/seamonkey-1.0.9-0.39.el3.centos3.i386.rpm updates/x86_64/RPMS/seamonkey-1.0.9-0.39.el3.centos3.x86_64.rpm

CentOS Errata and Security Advisory CESA-2009:1134 seamonkey security update for CentOS 3 i386: https://rhn.redhat.com/errata/RHSA-2009-1134.html The following updated file has been uploaded and is currently syncing to the mirrors: i386: updates/i386/RPMS/seamonkey-1.0.9-0.39.el3.centos3.i386.rpm updates/i386/RPMS/seamonkey-chat-1.0.9-0.39.el3.centos3.i386.rpm

Dear All, Could someone give me some pointers (just a guide as to what functions I need to look at would be fine) as to how I go about this simple problem please; The problem looks like this; Choose x1 to x4 such that you minimize the MAXIMUM ABSOLUTE value returned in the vector result of this matrix problem; [x1,x2,x3,x4].[ -0.38 -0.52 0.68 -0.29 ] [ -0.39 -0.42

Hello All, I have a simple question based on how things are labeled on my heat map; particularly, there is this annoying "X" that appears before the numeric value of all the labels of my columns. Let's say I have the following silly data, stored in "temp.txt" 1905 1910 1950 1992 2011 2020 Gnat 0.08 0.29 0.29 0.37 0.39 0.43 Snake

Dear tftp-hpa'ers, We are migrating from Solaris 2.8 to RHEL 4.6 64 bit. So are in the process of migrating our Solaris 2.8 tftp servers (as well as lots of other servers) to the latest tftp-hpa version available to RHEL 4 users: tftp-server-0.39-3.el4.x86_64.rpm. Since this version was made available roughly a year ago would guess it probably contains roughly the same fixes as your version

Folks, I'm trying to get stats from a matrix for each transition from one state to another. I have a matrix x as below. structure(c(0, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1, 2, 2, 1, 1, 1, 0, 0, 2, 2, 0.21, -0.57, -0.59, 0.16, -1.62, 0.18, -0.81, -0.19, -0.76, 0.74, -1.51, 2.79, 0.41, 1.63, -0.86, -0.81, 0.39, -1.38, 0.06, 0.84, 0.51, -1, -1.29, 2.15, 0.39, 0.78, 0.85, 1.18, 1.66, 0.9, -0.94,

Hi, I have a 3d array as below, I want to make this array to a matrix of p=50(rows) and n=20(columns) with the coverage values . The code before the array is: library(binom) Loading required package: lattice pi.seq<-seq(from = 0.01, to = 0.5, by = 0.01) no.seq<-seq(from = 5, to = 100, by = 5) cp.all = binom.coverage( p = pi.seq, n = no.seq , conf.level = 0.95, method = "exact")

Due to the timeout bug (reported by Cisco), trying to get a new release out. However, some of the new rewrite engine features made it in. -hpa Changes in 0.39: Support Perl-style \U...\E and \L...\E, as well as allow matching rules to be inverted (execute if rule *doesn't* match.) Fix a timeout bug. Add an RPM spec file.

Hello~   Did any one have used the package 'orcutt' ?   I find that it can not work smoothly in a single variable regression. I use the example following, it function very well.   But when I regress "cons" on "price" (use the "reg1<-lm(cons~price+income+temp)") , then  use "reg11<-cochrane.orcutt(reg1) ". There is an error message “Error in

$ R --version R 1.6.1 (2002-11-01). So I would like to perform principal components analysis on a 16X16 correlation matrix, [princomp(cov.mat=x) where x is correlation matrix], the problem is princomp complains that it is not non-negative definite. I called eigen() on the correlation matrix and found that one of the eigenvectors is close to zero & negative (-0.001832311). Is there any way

Hi >i have this data > X [1] 5.79 1579.52 2323.70 68.85 426.07 110.29 108.29 1067.60 17.05 22.66 [11] 21.02 175.88 139.07 144.12 20.46 43.40 194.90 47.30 7.74 0.40 [21] 82.85 9.88 89.29 215.10 1.75 0.79 15.93 3.91 0.27 0.69 [31] 100.58 27.80 13.95 53.24 0.96 4.15 0.19 0.78 8.01 31.75 [41] 7.35 6.50

I am attempting to use package boot to summarize and compare the performance of three models. I'm using R 2.13.0 in a Win32 environment. My statistic function returns a vector of 6 values, 3 of which are error rates for different models, and 3 are pairwise differences between those error rates. It looks like: multiEst<-function(dat,i) { .... c(E1,E2,E3,E2-E1,E3-E1,E3-E2); }

Dear R Users,i am very new to R. I want your help on an issue regarding distance matrix and cluster analysis i had discharge data of 4 rivers(a,b,c,d) in 4 vectors each having 364 values > dput(qmu)structure(list(a = c(0.26, 0.25, 0.25, 0.25, 0.24, 0.23, 0.22, 0.21, 0.21, 0.21, 0.2, 0.19, 0.19, 0.19, 0.19, 0.18, 0.18, 0.18, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17, 0.17,

Hi, I have some problems with my repeated measures analysis. When I compute it with SPSS I get different results than with R. Probably I am doing something wrong in R. I have two groups (1,2) both having to solve a task under two conditions (1,2). That is one between subject factor (group) and one within subject factor (task). I tried the following: aov(Score

> From: Douglas Bates > > How does the Opteron perform on floating point? Can you try something > like > > > mm = matrix(rnorm(1e6), nc = 1e3) > > system.time(crossprod(mm)) > [1] 0.51 0.02 0.53 0.00 0.00 > > system.time(crossprod(mm)) > [1] 0.37 0.03 0.40 0.00 0.00 > > system.time(crossprod(mm)) > [1] 0.38 0.02 0.40 0.00 0.00 > >

On Fri, 4 Sep 2015, Rob Groner wrote: > Well, I tried the same script method with openSUSE 13.2, and it still did not execute. > > So I tried the system method, and it worked 1 time out of 3 attempts. I captured the last failure: > 2015-09-04T11:43:38.825317-04:00 linux-5048 upsdrvctl[1887]: Can't claim USB device [2a37:5110]: No such file or directory >

Howdee, One of my student spotted something I can't explain: a probability >1 vs a normal probability density function. > dnorm(x=1, mean=1, sd=0.4) [1] 0.9973557 > dnorm(x=1, mean=1, sd=0.39) [1] 1.022929 > dnorm(x=1, mean=1, sd=0.3) [1] 1.329808 > dnorm(x=1, mean=1, sd=0.1) [1] 3.989423 > dnorm(x=1, mean=1, sd=0.01) [1] 39.89423 > dnorm(x=1, mean=1, sd=0.001) [1]

Below are the results for the Polyhedron 2005 benchmarks compiled with llvm/compiler-rt/dragonegg 3.3svn at r182439 against current FSF gcc 4.7.3svn and 4.8.1svn. The only major bug remaining in the dragonegg 3.3svn support for gcc 4.8.x is http://llvm.org/bugs/show_bug.cgi?id=15980 which results in unresolved symbols for _iround and _iroundf in the aermod and rnflow testcases. Note that this

Hi All, In the script below, the importance measure for column 4 (ie MeanDecreaseGini) indicated "Inf" for V7. Running the getTree command showed that "V7" had been selected at least twice in one of the trees for Random Forest. So the "Inf" command was not generated as a result of dividing the sum of the decreases by 0. Any suggestions on what may be causing the