similar to: HP Toolbox kills Samba

Hi, I have a few corrections for OPENssh-2.9p1 solaris packaging. I use to configure: setenv CFLAGS -I/opt/local/include setenv LDFLAGS "-R/opt/JGMAzlib/lib -L/opt/JGMAzlib/lib" ./configure --prefix=/opt/OPENssh --with-tcp-wrappers --sysconfdir=/etc/opt/OPENssh --localstatedir=/var/opt/OPENssh --with-pid-dir=/var/opt/OPENssh/run --with-ssl-dir=/opt/OPENssl --with-ipv4-default

Hi Folks, A while back I sent a asked a question about Running the Quakeworld server and samba together under Redhat Linux 4.2. I was experiencing complete system lock ups. Anyway, I think I have narrowed the problem down. It's nothing to do with the Quakeworld server though. I can reliably (!?) make my Redhat Linux system crash (totally seize up) by running this simple batch file below on

** ** I posted this message quite a time ago. Some people use my patch and I ** receive queries for a recent version from time to time. This patch didn't ** make it into the mainstream distribution yet. Sorry. ** ** This is the updated version for Samba-1.9.17p1. ** Hello, people. I have implemented some enhancements for Samba: 1. dynamic configuration-values 2. configurable

[mod: Forwarded by Jeff Uphoff. I tried to mangle the headers that it appears as the original post: with an invalid return address. -- REW] A few months back, a very alpha version of bliss got posted. That shouldn''t have happened, but, it was pretty much ignored so I didn''t worry about it. But now it seems there''s a bit of a fuss about this. I''ll post the

Hi to all the people again, I was writting a simply function in R, and wish to collect the results in a excel file. The work goes as follows, Ciervos<-function(K1, K0, A, R,M,Pi,Hembras) {B<-(K1-K0)/A T1<-(R*Pi*Hembras-M*Pi+B)/(Pi-M*Pi+R*Pi*Hembras) P1<-Pi-B R1<-P1*Hembras*R M1<-P1*M T2<-(R1-M1+B)/(P1-M1+R1) P2<-P1-B R2<-P2*Hembras*R M2<-P2*M

Dear R Help team, I'm having some problems running a discriminant analysis (MASS:lda) over my data, i have a grouping variable coming from a previous cluster analysis and several discriminators (78 actually). I'm trying to run lda using column index as independent variable in the formula like it's done in the help page for ?formula:

-----BEGIN PGP SIGNED MESSAGE----- Hi, a security hole has been found in the auxiliary fax scripts "faxq" and "faxrunq" in the mgetty+sendfax package. It has been in there since the first day those scripts were written. Due to improper quoting in these shell scripts, it''s possible to execute code with a foreign user id, and get root access to the machine. The

Hi folks, I am experiencing a strange problem with 1.9.18p7 on FreeBSD 2.2.2. When I access files from the [homes] share, my Win95 client seems to be caching the files, and not realising that the files may have changed. For example, I can load a simple text file (from the [homes] share) into Codewright on the Win95 client. Then I edit the same file using vi on the samba server, and write out

Hello all, Probably my concepts about the data.frame and matrix and array in R are not clear, I need some clarification to help me understand them better. >M <- read.table("test1.csv",sep=",",row.names=NULL,header=T) gives me: M as M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 1 9 11 14 15 18 20 20 20 20 20 2 3 4 8 9 11 12 14 15 15 15 3 4 5 8 8 9 9 9 9 9 9 4 4

Dear All: I am interested in multinomial logit models (function multinon, library nnet) but I'm having troubles in choose whether to define the predictors as factors or not. I had posted earlier this example (thanks for the reply ronggui): worms<- data.frame(year= rep(2000:2004, c(3,3,3,3,3)),age=rep(1:3,5),

libswfdec/Makefile.am | 2 libswfdec/swfdec_movie.c | 24 +++++- libswfdec/swfdec_shape_parser.c | 4 - test/dump.c | 3 test/trace/Makefile.am | 9 ++ test/trace/movieclip-version-5.swf |binary test/trace/movieclip-version-5.swf.trace | 111 +++++++++++++++++++++++++++++++

Hi! I am new to looping and R in general; and I have sent waaaay to much time on this one problem and am about a hair away from doing it manually for the next two days. So, there is a package that while calculating the statistic creates lists (that look like matrices) in the background. Each item (there are 10 items) has one of these ‘matrix looking list’ that I need to extract data from. The

Hi, I am trying to find an efficient way of applying a linear regression model to different factor combinations in a data frame. I want to obtain the output with minimal or no use of loops if possible. Please let me know if this query is unclear. Thanks, Murtaza

I am used to java (well, i dont remember it really well, but anyway) I have having a really difficult time making simple loops to work. I got the following to work: ## ##Creates objects Ux1, Ux2, Ux2 etc. that all contain n numbers in a random distribution ## m<-c(m1,m2,m3,m4,m5,m6,m7,m8,m9,m10)#these are defined as numbers (means) v<-c(v1,v2,v3,v4,v5,v6,v7,v8,v9,v10)#these

Hi After a few days of very fine work, my dom0 went mad. (using xen-3.0.2) It''s ksoftirqd keeps 70% of cpu all the time. Is there anything I can do? Regards, Steffen begin 666 smime.p7s M,( &"2J&2(;W#0$''`J" ,( "`0$Q"S )!@4K#@,"&@4`,( &"2J&2(;W#0$'' M`0``H(())#""`JPP@@(5H ,"`0("`P]Z''3

Hi all! I?ve got some problems with the function gam (library mgcv). For some models I get the error message : Error: no valid set of coefficients has been found:please supply starting values In addition: Warning message: NaNs produced in: log(x) This is a shortened code I used: gam(y ~ M1 + M3 + M4 + M5 + M6 + sex + M1*M3 + s(age), family=Gamma(link ="identity"), weights=days) If

Hi All, How do i calculate KMO for a dataset? *Dataset:---------------------* m1 m2 m3 m4 m5 m6 m7 m8 1 2 20 20 2 1 4 14 12 2 9 16 3 5 2 5 5 15 3 18 18 18 13 17 9 2 4 4 7 7 2 12 2 11 11 11 5 7 8 5 19 5 2 20 18 6 7 4 7 4 7 9 3 3 7 5 5 5 12 5 13 13 12 8 6 6 4 3 5 17 17 16 9 12 12 4 2 4 4 14 14 10 5 14

A question on p-value of Unit Root Tests using “urca” toolbox There’s a function “punitroot” on unit root probability value punitroot(q, N = Inf, trend = c("c", "nc", "ct", "ctt"), statistic = c("t", "n"), na.rm = FALSE) To my knowledge, “c” means “const” or intercept, “nc” means no const or intercept, and “ct” means time trend

Dear R helpers,   Following is a R script I am using to run the Fast Fourier Transform. The csv files has 10 columns with titles m1, m2, m3 .....m10.     When I use the following commands, I am getting the required results. The probelm is if there are 100 columns, it is not wise to define 100 commands as fk <- ONS$mk and so on. Thus, I need some guidance to write the loop for the STEP A and

Hello, I have a question on unit root test with urca toolbox. First, to run a unit root test with lags selected by BIC, I type: > CPILD4UR<-ur.df(x1$CPILD4[5:nr1], type ="drift", lags=12, selectlags ="BIC") > summary(CPILD4UR) The results indicate that the optimal lags selected by BIC is 4. Then I run the same unit root test with drift and 4 lags: