similar to: CentOS4.2 and wifi

CentOS4 standard installation. I see that KwifiManager doesn't support 128 bit WEP which I need for other machines on the network, which is a bit of a blow - and rather surprising really as security should be quite a consideration on an enterprise level system (NB RH!). Is there a workaround? An alternative way of configuring my Belkin F5D6020 ver 2 card? eg a cvs download that I can get

I need to run a Java-enabled Firefox on my CentOS4.1-powered laptop and it *was* running fine. Then yesterday I up2date'd the box and Firefox went from 1.0.4 to 1.0.6. And I lost Java. I can't seem to re-install it, whether from the original (1.5.0 I think it was) or the latest downloads. This is crucially important as I need to access my Dell RAC. Can anyone advise how to get

Is there a way to get the axes labels for a persp() plot to show the actual values employed? ticktype='detailed' only shows a scale from 0 to 1. My values are (for example) y in 0.2-0.7, x in 450-560 and I would like to suppress the z labels. How can I get the x and y values to appear on the plot? R-2.3.1, Windows XP Home. Best wishes John John Logsdon

I am trying to extract into a scalar the value of Phi from the printed output of gls or lme using corAR1 correlation. ie I want the estimate of the autocorrelation. I can't see how to do this and haven't seen it anywhere in str(model.lme). I can get all the other information - fixed and random effects etc. Is there an obvious way so that I can save the brick wall some damage? TIA

I am trying to extract the solution from a simple lme calculation. For example (the first 4 have a mean 0, sd 1): > y<-c(-1.118,-.5,.5,1.118,10) > gp<-factor(c(rep('one',4),'two')) > res<-lme(y~1,rand=~1|gp) Linear mixed-effects model fit by REML Data: NULL Log-restricted-likelihood: -8.67141 Fixed: y ~ 1 (Intercept) 4.962502 Random effects:

I am trying to get a measure of how R compares in usage as a statistical platform compared to other software. I would guess it is the most widely used among statisticians at least by virtue of it being open source. But is there any study to which I can refer? By asking this list I am not exactly adopting a rigorous approach! Best wishes John John Logsdon

I have just loaded up CentOS4.1 on a PE1850 with twin Intel x86_64's. When I came to clean out those packages I didn't want (because some always creep in however careful you are), apart from those with dependencies, I notice a lot of cases where there are two packages of the same name installed - one clearly an x86 package and one an x86_64 package. eg apr Is this intentional and if it

Dear list Having just started to use the Windows version, I am very impressed with it's package handling as well as the gui. So I tried to see what was due for update and packages such as Hmisc, Matrix and others came up. But when I had updated them - which took a few goes as something hung between here and Bristol - I noticed that the default packages such as nmle, MASS had disappeared. I

I have boxes on CentOS 4.2 that I want to move to CentOS5. Are there any problems envisaged in trying to move 4.2->4.3, 4.3->4.4 and 4.4->5.0, using yum upgrade and changing the repositories at each stage? I guess it is not too good an idea to try it in one step. Or do I need the CDs? Can anyone advise? TIA Best wishes John John Logsdon "Try to

I have a compilation problem on FC2, 2xXeon box. The following dialogue output from the end of the compilation illustrates: [very large snipping sound ...] * DONE (cluster) begin installing recommended package foreign make[2]: *** [foreign.ts] Error 1 make[2]: Leaving directory `/usr/src/redhat/SOURCES/R-2.0.1/src/library/Recommended' make[1]: *** [recommended-packages] Error 2 make[1]:

I have a question about constructing the likelihood function where there is censoring at level 1 in a two-level random effects sum. In a conventional solution, the likelihood function is constructed using the density for failures and the survivor function for (in this case, right) censored results. Within (for example) an R environment, this is easy to do and gives the same solution as survreg

I have an ordering and factor problem to which there must be a simple solution! The version is R 2.0.1 (2004-11-15) on A Linux platform. A data frame H is read in from a .csv file using read.csv with as.is=TRUE. Another data frame HN is constructed from data and I want to compare two columns both named ss of the (sorted) data frames that are the same length. The problem is that HN$ss is

R-ists Yet again Java rears its ugly head. I have Kubuntu 7.04 running the Kubuntu-repository version of R 2.4.1-1. Yes it isn't the very latest version but this is not the issue here. I want a Windows-like environment and everyone is talking about JGR. I downloaded it and installed it along with rJava. Both compile and install satisfactorily. But when I come to run it: >

Hi I am having trouble compiling some 2.6 kernels on a x86_64 box under CentOS4.1. I cannot use xconfig at all and menuconfig on my system is unreadable. It appears to be something to do with the Qt library but I have all the necessary bits installed: qt-devel-3.3.3-9.3 qt-3.3.3-9.3 but note that the second of these only is installed both for x86 and x86_64 - the first is installed for x86_64

If I can squeeze a message between the discussions on security (:-)) I have been trying to compile a kernel on an x86_64 box under CentOS4.1 and now 4.2. The problem is that neither make xconfig or make gconfig work: make gconfig * * Unable to find the GTK+ installation. Please make sure that * the GTK+ 2.0 development package is correctly installed... * You need gtk+-2.0, glib-2.0 and

Hello I know that R's string functions are not as extensive as those of Unix but I need to do some text handling totally within an R environment because the target is a Windows system which will not have the corresponding shell utilities, sed, awk etc. Can anyone explain the following gsub phenomenon to me: >

Folks I have been using rsnapshot for years now. The only problem I've found is that it is possible to run out of inodes. So my heads-up is that when you create the file system, ensure you have more than the default inodes - I usually multiply the default by 10. Otherwise you can find your 1Tb USB drive failing after 259Mb and you can't then recover the files. Rather embarrassing. >

On Sun, 27 Aug 2023 19:54:23 +0100 John Logsdon <j.logsdon at quantex-research.com> wrote: > Not so although it did lower the gc() time to 95.84%. > > This was on a 16 core Threadripper 1950X box so I was intending to > use library parallel but I tried it on my lowly windows box that is > years old and got it down to 88.07%. Does the Windows box have the same version of R

Folks I have come across an issue with gc() hogging the processor according to Rprof. Platform is Ubuntu 20.04 all up to date R version 4.3.1 libraries: survival, MASS, gtools and openxlsx. With default gc.auto options, the profiler notes the garbage collector as self.pct 99.39%. So I have tried switching it off using options(gc.auto=Inf) in the R session before running my program using

>From a login on a machine with rhel4u2 I can execute the following commands and get the indicated output: date --date="Mar 25 15:00:00 UTC 2006" Sat Mar 25 10:00:00 EST 2006 date --date="Mar 25 15:00:00 UTC 2007" Sun Mar 25 11:00:00 EDT 2007 As you can see, the output differs for 2006 and 2007. That indicates that rhel4u2 includes changes required by the