similar to: NFS lockups

Hi I've suddenly lost access to some permanent cross-server shares. I think this was following the Nov 5 new kernel, rather than the Centos version upgrade. I don't see any difference to man mount.nfs I have:- [root at hs6 ~]# mount hs8:/data /sysback/hs8-data -v mount: no type was given - I'll assume nfs because of the colon mount: trying 172.26.0.8 prog 100003 vers 3 prot tcp port

Hi I get this on every scan report:- LibClamAV Warning: *********************************************************** LibClamAV Warning: *** This version of the ClamAV engine is outdated. *** LibClamAV Warning: *** DON'T PANIC! Read http://www.clamav.net/support/faq *** LibClamAV Warning: *********************************************************** ----------- SCAN SUMMARY

I'm just wondering if anyone else here is using this? The majority of jobs on our CentOS5 server "fail" by "Communications failure" right at the end, apparently on the very last file which, however, is recoverable, as is the whole archive. In more than half these failures, the Linux agent has stopped and, in about half of those, crashes leaving a backtrace. I had similar

Hi all, How can one evaluate NAs in a numeric dataframe column? For example, I have a dataframe (demo) with a column of numbers and several NAs. If I write demo.df >= 10, numerals will return TRUE or FALSE, but if the value is "NA", "NA" is returned. But if I write demo.df == "NA", it returns as "NA" also. I know that I can remove NAs, but would like

hi, sorry for the potentially stupid question. I'm a little stuck. when trying to run the stupid update manager i need for my satnav, which - obviously - is windows only, nothing happens. install worked, the icon's on my desktop, it has been made executable, but after a bit of harddrive action nothing happens. terminal says: Code: mzwo at mzwo-laptop:~$ env

Dear r-helpers, I have a question about multiple testing. Here an example that puzzles me: All matrixes and contrast vectors are presented in treatment contrasts. 1. example: library(multcomp) n<-60; sigma<-20 # n = sample size per group # sigma standard deviation of the residuals cov1 <- matrix(c(3/4,-1/2,-1/2,-1/2,1,0,-1/2,0,1), nrow = 3, ncol=3, byrow=TRUE, dimnames =

Hi, I ran two svm models in R e1071 package: the first without cross-validation and the second with 10-fold cross-validation. I used the following syntax: #Model 1: Without cross-validation: > svm.model <- svm(Response ~ ., data=data.df, type="C-classification", > kernel="linear", cost=1) > predict <- fitted(svm.model) > cm <- table(predict,

Well, one way to do it is xyplot(y~time|id, data=dat,type='l', panel=function(x,y,subscripts,...){ panel.xyplot(x,y,subscripts,...) panel.abline(v=dat[subscripts,"cm1"]) panel.abline(v=dat[subscripts,"cm2"]) } ) Since I don't know what the dataframe 'mergeData' is I have used 'dat'. Best regards Frede Aakmann

Consider this data frame: dat<-data.frame(id=gl(3,5),time=rep(1:5,3),cm1=rep(c(2,3,4),each=5),cm2=rep(c(2.5,3.5,4.5),each=5),y=rnorm(15)) > dat id time cm1 cm2 y 1 1 1 2 2.5 -1.0824549 2 1 2 2 2.5 -0.7784834 3 1 3 2 2.5 -1.7783560 4 1 4 2 2.5 0.5056637 5 1 5 2 2.5 -0.1967505 6 2 1 3 3.5 1.1643136 7 2 2 3 3.5 -1.4323765 8 2

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file:

Hi, I am using Fedora Core 3 as a server for both Unix (Solaris and HPUX) and Windows Xp clients. The Unix clients view the files through an NFS v3 share, and windows client use samba (3.0.8-0.pre1.3). When looking at a directory from the server, or from a Unix client, I can see 132 files. However, from the Windows client, I can only see 65 files. There appear to be nothing special about the

Hi, I ran two svm models in R e1071 package: the first without cross-validation and the second with 10-fold cross-validation. I used the following syntax: #Model 1: Without cross-validation: > svm.model <- svm(Response ~ ., data=data.df, type="C-classification", > kernel="linear", cost=1) > predict <- fitted(svm.model) > cm <- table(predict,

Hello, I'm have an established Samba domain, where Samba is the PDC. It is working well with XP and Win7 clients. However, there is some bespoke software that must run on a Windows Server, due to the number of concurrent connections issue. So, we have installed a Windows 2008 R2 server and joined it to the Samba domain. This worked fine after applying the registry changes listed on the

The existing xc_domain_dumpcore is very specific to disk/file based output. Refactor the code slightly to allow more user-specified control. This is done by adding a parallel xc_domain_dumpcore2 (naming isn''t always my strong suit), which allows the specification of a callback routine and an opaque argument block. The existing dumpcore routine is modified to use the callback for all

Has anyone had any success running ChromiumOS as a VM under libvirt and can provide, or point me to, a set of instructions for getting it to work? I've tried and get as far as the white boot screen with the Chromium logo, but the VM just hangs there. Regards, Tony. -- Tony Arnold MBCS, CITP | Senior IT Security Analyst | Directorate of IT Services | Desk 51, Office 2, Kilburn Building | The

Ben- I like the idea but I don''t understand how this patch can work: 1) You never put a name into `serial_devices[]'' for the summa port. The loop in `main'' that initializes the serial devices only calls `qemu_chr_open'' if there''s a string name in `serial_devices''. How did you get this to work? 2) Minor point, I don''t see the need

Is that possible to create superscript text on the graph legend, for example to put "cm2" (centimeter square) on the legend. Please show me how to do it. Thanks. -- Agus Susanto [[alternative HTML version deleted]]

I am trying to fit a nonlinear regression to infiltration data in order to determine saturated hydraulic conductivity and matric pressure. The original equation can be found in Bagarello et al. 2004 SSSAJ (green-ampt equation for falling head including gravity). I am also VERY new to R and to nonlinear regressions. I have searched the posts, but am still unable to determine why my data come up

All; I am running Asterisk 11.6-cert16 and I have voicemail setup so voicemail messages are sent as email attachments. That works fine. However, the body of the email contains the CallerID(name), but is missing the CallerID(num). For example, the email body looks like this: Just wanted to let you know you were just left a 0:21 long message (number 13) in mailbox 101 from WIRELESS

I've recently come across the following results reported from the lm() function when applied to a particular type of admittedly difficult data. When working with small data sets (for instance 3 points) with the same response for different predicting variable, the resulting slope estimate is a reasonable approximation of the expected 0.0, but the p-value of that slope estimate is a surprising