search for: 33.15

CentOS Errata and Security Advisory 2012:1201 Moderate Upstream details at : https://rhn.redhat.com/errata/RHSA-2012-1201.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 0564129724071c9d3c33c19bd8a994b80453747f89547d5edf4f8cbb1167fed1 tetex-3.0-33.15.el5_8.1.i386.rpm

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CentOS Errata and Security Advisory CESA-2005:476 https://rhn.redhat.com/errata/RHSA-2005-476.html The following updated files have been uploaded and are currently syncing to the mirrors: s390: updates/s390/RPMS/openssl-0.9.7a-33.15.s390.rpm updates/s390/RPMS/openssl-devel-0.9.7a-33.15.s390.rpm updates/s390/RPMS/openssl-perl-0.9.7a-33.15.s390.rpm

CentOS Errata and Security Advisory 2005:476 openssl security update for CentOS 3 i386: https://rhn.redhat.com/errata/RHSA-2005-476.html The following updated file has been uploaded and is currently syncing to the mirrors: i386:

CentOS Errata and Security Advisory 2005:476 openssl security update for CentOS 3 x86_64: https://rhn.redhat.com/errata/RHSA-2005-476.html The following updated file has been uploaded and is currently syncing to the mirrors: x86_64: updates/x86_64/RPMS/openssl-0.9.7a-33.15.i686.rpm updates/x86_64/RPMS/openssl-0.9.7a-33.15.x86_64.rpm updates/x86_64/RPMS/openssl-devel-0.9.7a-33.15.x86_64.rpm

I'm running a CentOS 3.4 box. According to yum, the OpenSSL 0.9.7a-33.15 package I have installed is the latest available. A check of the OpenSSL website shows 0.9.7g source being the latest. Is the CentOS 0.9.7a package patched to cover the same isues that the generic 0.9.7 source covers? If not, what's my recourse? Build it by hand? If I need to build it, has anybody crossed that

Thanks, Pikal and Jim. Yes, it has been a long time Jim. I hope you have been well. Pikal, thanks. Your solution may be close to what I want. I did not know that I was posting in HTML. I just copied the data from Excel and posted in the email in Gmail. The data is still in Excel, because I have not yet figured out what is a good way to organize it in R. I am posting it again below as text. These

Okay. Here is a modification that does four single line plots. at_df<-read.table(text= "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current Bank_Savings Bank_NA $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 $75 4 1.71 28.90 35.65 33.74 62.17 24.61 11.48 1.746

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Hi Anupam, Haven't heard from you in a long time. Perhaps you want something like this: at_df<-read.table(text= "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current Bank_Savings Bank_NA $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 $75 4 1.71 28.90 35.65 33.74

CentOS Errata and Security Advisory CESA-2005:476 https://rhn.redhat.com/errata/RHSA-2005-476.html The following updated files have been uploaded and are currently syncing to the mirrors: files: updates/ia64/RPMS/openssl-0.9.7a-33.15.ia64.rpm updates/ia64/RPMS/openssl-devel-0.9.7a-33.15.ia64.rpm updates/ia64/RPMS/openssl-perl-0.9.7a-33.15.ia64.rpm

Hello, I want to plot the following kind of data (percentage of respondents from a survey) that varies by Income into many small *line* graphs in a panel of graphs. I want to omit "No Answer" categories. I want to see how each one of the categories (percentages), "None", " Equity", etc. varies by Income. How can I do this? How to organize the data well and how to

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Hello I'bve just run yum update on one of our servers and there a alot of updates which were not there earlier in the week. Theses are: Gathering header information file(s) from server(s) Server: CentOS-3 - Base Server: CentOS-3 - Updates Finding updated packages Downloading needed headers Resolving dependencies Dependencies resolved I will do the following: [update: hotplug

Reposting the data did not help. We do not like to guess, and doing so takes a great deal of time that is likely wasted. Rows are observations. Columns are variables. In Excel, the first row will be variable names and all subsequent rows will be observations. Income is the first variable. It has seven states: $10, $25, $40, $75, >$75, "No", "Answer" MF is the second

Anupa, I think your best bet with your data would be to tidy it up in Excel, read it into R using something like the readxl package and then supply some sample data is the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need. Just do dput(mydata) where *mydata* is your data. Copy the output and paste it here. On Thu, 29 Jun 2023

I'm trying to get get nessus 2.2.5 to install on my centos 3.5 system. It errors out with this error: Press ENTER to continue x - Compiling the libraries x -- Configuring the sources for your system configure: error: Could not find OpenSSL and OpenSSL headers on your system **** An error occured :/ Do you want to save the compilation log to analyze what went wrong ? [y] Where should I save

Hi John: Thanks! Below is the data using your suggestion. I used "ggplot" to make a graph. I am not too happy with it. I am looking for something simpler and cleaner. Plot is attached. I also tried "lattice" package, but nothing got plotted with "xyplot" command, because it is looking for a numeric variable on x-axis. ggplot(TrialData4, aes(x=Income, y=Percent,

Btw, I think "lattice" graphics will provide a better solution than "ggplot", because it puts appropriate (space saving) markers on the axes and does axes labels well. However, I cannot figure out how to do it in "lattice". On Thu, 6 Jul 2023 at 15:11, Anupam Tyagi <anuptyagi at gmail.com> wrote: > Hi John: > > Thanks! Below is the data using your

On Thu, 6 Jul 2023 at 15:21, Anupam Tyagi <anuptyagi at gmail.com> wrote: > > Btw, I think "lattice" graphics will provide a better solution than > "ggplot", because it puts appropriate (space saving) markers on the axes > and does axes labels well. However, I cannot figure out how to do it in > "lattice". You will need to convert Income to a