similar to: define more syslog flags

Any unpriveledged user can abuse the syslog facility in an interesting way. The following example is a good one that can put misleading information in the logs. ------------------------------- #include <syslog.h> void main(void){ const char *mesg1 = "hda: read_intr: status=0x59 { SeekComplete DataRequest Error } { UncorrectableError }, CHS=157/2/9, sector=2826\0"; const char

I wrote this little program to deal with the situation where there are a number of workgroups on a number of subnets with no WINS server [actually I couldn't get this configuration to run with a WINS server - but that's another story] You run this program on machines bridging your subnets and it listens for netbios nameserver packets and forwards them. [Broadcast packets are sent on to

From: Thorsten Glaser <tg at mirbsd.de> Rename local variable to tftpd_progname to avoid a clash with glibc global symbols and work around Debian bug #519006 (Closes: #564052). Signed-off-by: Ron Lee <ron at debian.org> --- tftpd/tftpd.c | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tftpd/tftpd.c b/tftpd/tftpd.c index 88d2812..91f5ae1 100644 ---

Fix an off-by-one in asprintf and vasprintf. The return of vsnprintf is the number of bytes *not* including the terminating '\0'. The size argument to vsnprintf is the number of bytes *including* the terminating '\0'. diff -u klibc-0.188/klibc/asprintf.c udev/klibc-0.188/klibc/asprintf.c --- klibc-0.188/klibc/asprintf.c 2004-10-22 12:07:22.678906352 -0600 +++

Is there a way to have printing data.frames with POSIXct to display milliseconds if digits.secs is set as a default? You can use the digits argument in print, such as print(df, digits = 3) to get the intended output, but I assumed it was done with the option digits.secs set. Tibbles by default do this printing, which is shown below, but I was unsure if digits.secs should affect printing

Hi, LOG_NDELAY is the only option for openlog() in dovecot 1.1.2. Wouldn't be LOG_NDELAY|LOG_PID as option parameter much more useful? Without logging the pid, it is impossible to match 'Disconnected' log entries and the corresponding session start/login. Therefore I suggest to use LOG_NDELAY|LOG_PID in the options of i_set_failure_syslog() at all 6 occurrences which passes it

Full_Name: Adrian Custer Version: 0.90.0 OS: Linux on Thinkpad (pentium) and desktop (K6) Submission from: (NULL) (128.32.251.234) When I create a boxplot, and then try to overlay a lowess fit or just the points, the points do not appear in the highest level and the lowess curve does not reach the highest level. However, if I add one to each of the models, the problem is solved. I tried this

Hi! On Thu, 31 May 2018 00:44:58 +0900, A. Schulze wrote: > When running multiple instances of dovecot on the same host (or running multiple docker container), > it is hard to distinguish logs from different processes: the syslog entries are all prefixed with the same identifier "dovecot" > It is hardcoded here: >

I am installing R 2.15.1 onto RHEL 6, using gcc 4.7.0 with Intel MKL 10.3.7 and the following environment: export BLAS_LIBS="-Wl,--start-group /usr/caen/intel-12.1/mkl/lib/intel64/libmkl_gf_lp64.a /usr/caen/intel-12.1/mkl/lib/intel64/libmkl_sequential.a /usr/caen/intel-12.1/mkl/lib/intel64/libmkl_core.a -Wl,--end-group -lpthread" export LAPACK_LIBS="-Wl,--start-group

The file TENSILE.DAT from the Hand et al "Handbook of Small Data Sets" looks like this: 0.023 0.032 0.054 0.069 0.081 0.094 0.105 0.127 0.148 0.169 0.188 0.216 0.255 0.277 0.311 0.361 0.376 0.395 0.432 0.463 0.481 0.519 0.529 0.567 0.642 0.674 0.752 0.823 0.887 0.926 except that my mail client has replaced the tab separators by blanks. If I paste this data into R 2.2.1 what I get is

Hi List, I don't understand why 'lrm' doesn't recognize the '~.' formula. I'm pretty sure it was working before. Please see below: I'm using R2.3.0, WinXP, Design 2.0-12 thanks, ...Tao > dat <- data.frame(y=factor(rep(1:2,each=50)), x1=rnorm(100), x2=rnorm(100), x3=rnorm(100)) > lrm(y~., data=dat, x=T, y=T) Error in terms.formula(formula, specials =

Dear all, I have an annual time-series of population numbers and I would like to estimate the auto-correlation. Can I use acf() function and judge whether auto-correlation is significant by the plots? The acf array, eg: Autocorrelations of series 'x$log.s.r', by lag 0 1 2 3 4 5 6 7 8 9 10 11 12 1.000 0.031 -0.171

If the rsyncd.conf has a line such as: log file = /var/log/rsync/log and /var/log/rsync doesn't exist or isn't a directory (or the log file can't be opened for any other reason), then there's no warning whatsoever, as rsync forks itself into the background before checking the config, opening the log file, etc. Worse still, it gets a SIGSEGV, and dumps core. Here's a strace

I want to paste in the following numbers into a scan: 0.023 0.032 0.054 0.069 0.081 0.094 0.105 0.127 0.148 0.169 0.188 0.216 they are separated by tabs alone, unless my mailer has done something to the tabs. Now have a look at this: > scan() 1: 0.0230.0320.0540.0690.0810.094 1: 0.1050.1270.1480.1690.1880.216 Error in scan() : "scan" expected a real, got

Hi, I am experimenting with using glht() from multcomp package together with coxph(), and glad to find that glht() can work on coph object, for example: > (fit<-coxph(Surv(stop, status>0)~treatment,bladder1)) coxph(formula = Surv(stop, status > 0) ~ treatment, data = bladder1) coef exp(coef) se(coef) z p treatmentpyridoxine -0.063 0.939 0.161

Here is the file minimal.Snw: \documentclass[a4paper]{article} \title{R tips and tricks} \author{Murray Jorgensen} \usepackage{Sweave} \begin{document} \maketitle \section*{Entering data from a single variable} The following data are transformed tensile strength measurements on polyester fibres. They may be found on the file \texttt{TENSILE.DAT}. We may enter this data into R using the

Dear list, I would like to simulate individual survival times from a model that has been fitted using the survreg procedure (library survival). Output shown below. My plan is to extract the shape and scale arguments for use with rweibull() since my error terms are assumed to be Weibull, but it does not make any sense. The mean survival time is easy to predict, but I would like to simulate

Dear all, The 'make check' step fails for the pacakge mva on IBM AIX. The tail of the Rout log file looks like: > for(factors in 2:4) print(update(Harman23.FA, factors = factors)) Call: factanal(factors = factors, covmat = Harman23.cor) Uniquenesses: height arm.span forearm lower.leg weight 0.170 0.107 0.166

We have a samba 3.0.7 server on RHEL-3 (rain) joined as a domain member (security = domain) to a win2k pdc (clouds) for the domain DOM. We have several unix users and two Win-only users. The unix users have matching AD accounts on the win2k, but the Win-only users do not have unix accounts (and we want to keep it that way). So, it seemed that winbind would be the best way to bridge the gap: 1.

Dear R users I have a big matrix like 6021 1188 790 290 1174 1015 1990 6613 6288 100714 6021 1 0.658 0.688 0.474 0.262 0.163 0.137 0.32 0.252 0.206 1188 0.658 1 0.917 0.245 0.331 0.122 0.148 0.194 0.168 0.171 790 0.688 0.917 1 0.243 0.31 0.122 0.15 0.19 0.171 0.174 290 0.474