search for: 1.47

CentOS Errata and Security Advisory 2012:0058 Moderate Upstream details at : https://rhn.redhat.com/errata/RHSA-2012-0058.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 87739a0156b0fa07b50b78b257bb9c2e5c29a806dc37fd54a0c580f19a275b77 glibc-2.12-1.47.el6_2.5.i686.rpm

CentOS Errata and Security Advisory 2012:0393 Moderate Upstream details at : https://rhn.redhat.com/errata/RHSA-2012-0393.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 5203d3d78574d3504c84eb9eeca11bb8c09ab1b7e2891ae6d843aac9e3178765 glibc-2.12-1.47.el6_2.9.i686.rpm

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CentOS Errata and Bugfix Advisory 2012:0566 Upstream details at : https://rhn.redhat.com/errata/RHBA-2012-0566.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 64f208c88790abc74b97a324b3dd1c587d49720ded0eae6b3ccc7506423bdc85 glibc-2.12-1.47.el6_2.12.i686.rpm

Is anyone getting a yum update problem with glibc and glibc-common? I'm getting the error message ------------------------------- Error: Protected multilib versions: glibc-2.12-1.47.el6_2.12.x86_64 != glibc-2.12-1.47.el6_2.9.i686 ** Found 3 pre-existing rpmdb problem(s), 'yum check' output follows: bash-4.1.2-9.el6_2.x86_64 is a duplicate with bash-4.1.2-8.el6.centos.x86_64

Hi Specs in subject line: CentOS 6.X all latest patches), iptables 1.47, Apache2.2 I use the Geolite legacy databases together with iptables 1.47 to filter traffic for a variety of ports and only allow .AU traffic to have access. Maxmind (https://dev.maxmind.com/geoip/geoip2/geolite2/) changed the default DB to the latest version which is GeoLite2, this leaves all users in need of the old

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On 14/01/2019 07:09, Jobst Schmalenbach wrote: > Hi > > Specs in subject line: CentOS 6.X all latest patches), iptables 1.47, Apache2.2 > > I use the Geolite legacy databases together with iptables 1.47 to filter traffic for a variety of ports and only allow .AU traffic to have access. > I use ipdeny's aggregated country lists to do the same thing:

Hi all: I finished cox analysis like this: fit_cox<-coxph(Surv(dat$Time, dat$death) ~ dat$CD4 + strata(dat$gender),data=dat); > fit_cox Call: coxph(formula = Surv(data_ori$Time, data_ori$death) ~ data_ori$drug + strata(data_ori$gender), data = data_ori) coef exp(coef) se(coef) z p data_ori$drugddI 0.216 1.24 0.146 1.47 0.14 Likelihood ratio test=2.17 on

On 15/01/2019 01:29, Jobst Schmalenbach wrote: > > On Mon, Jan 14, 2019 at 07:29:45AM +0000, Phil Perry (pperry at elrepo.org) wrote: >> On 14/01/2019 07:09, Jobst Schmalenbach wrote: >>> Hi >> I use ipdeny's aggregated country lists to do the same thing: >> >> http://www.ipdeny.com/ipblocks/data/aggregated/ >> >> I just feed this data

On Tue, Jan 15, 2019 at 07:43:02AM +0000, Phil Perry (pperry at elrepo.org) wrote: > On 15/01/2019 01:29, Jobst Schmalenbach wrote: > > On Mon, Jan 14, 2019 at 07:29:45AM +0000, Phil Perry (pperry at elrepo.org) wrote: > > > On 14/01/2019 07:09, Jobst Schmalenbach wrote: > Below is my script for creating/updating an ipset to block my top 10 > Hope that helps Thanks, it

Dear R Users, Could you please help me on the following issue? I have a real large yearly data set. For each year I have 365 flow values. Some of the flow values are not known and that’s why you will see NA written in those slots. I wanted to know, is there a way that I can estimate those values? I tried approx command but it seems least helpful for the kind of issue I am up against.

On Mon, Jan 14, 2019 at 07:29:45AM +0000, Phil Perry (pperry at elrepo.org) wrote: > On 14/01/2019 07:09, Jobst Schmalenbach wrote: > > Hi > I use ipdeny's aggregated country lists to do the same thing: > > http://www.ipdeny.com/ipblocks/data/aggregated/ > > I just feed this data directly into ipset/iptables via a script running on > my firewall (not a C6 box).

Hello list. I have a vector of values: eg > head(diff_mirs_list) [1] "hsa-miR-26b" "hsa-miR-26b" "hsa-miR-23a" "hsa-miR-27b" "hsa-miR-29a" [6] "hsa-miR-29b" and I would like to conditionally replace each value in this vector with a number defined in a dataframe: > fc ???????????? Probe ave.fc 1?????? hsa-let-7a?? 1.28 2?????

Maybe this is dumb, but I seem to be having problems reading a file saved in R v. 0.99 into R 0.90.1 (in a different machine). I did >save(test1, file="test1.RData") then I tried to read that data file in R 0.90.1: >load("test1.RData") Error in load("test1.RData") : restore file corrupted -- no data loaded More info: - both machines are running Linux;

I'm trying to write a function to find the means over factors of the responses in a mlm (something I would do easily in SAS with PROC SUMMARY). The not-working stub of a function to do what I want is below, and my problem is that I don't know how to call aggregate (or some other function) in the context of terms in a linear model extracted from a lm/mlm object. means.mlm <-

Dear arun and all R users, I will first of all try to simply define my issue.. I have data in the following format Year Discharge dd/mm/yyyy x .. … … … There are some NA values in the discharge which I would like to predict by using “predict command”. I cant figure out the way to write the coding for that. Could you please help me on that??? I have also ,written

Hi all, I have 2 questions: 1)How do I calculate the mean on an imported txt file? I've imported the file below and that's what it looks like imported. How do I then calcuate the mean, median, or mode on the column LeafArea using the desktop R package? Any help would be greatly appreciated!! Thanks, Nat LeafType Leaflets LeafArea ShapeRatio LeafWeight LeafThickness 1 1

Hi all, I have managed to get the r-scale usage algorithm to work, but I need to obtain the final results from this. As I understand it, this code is designed to generate a matrix after processing and store it somewhere????? Here is the code..... I get this part of the code, it all makes sense. ## if(nchar(Sys.getenv("LONG_TEST")) != 0) {R=1000} else {R=5} { data(customerSat)