similar to: Samba 3.0.12 Available for Download

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 [Manny] "They think I'm a cop! I'm not a cop! I've just had too much coffee!" ==================== Release Announcement ==================== This is the latest stable release of Samba. This is the version that production Samba servers should be running for all current bug-fixes. Please read the following important changes in

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 This is a preview release of the Samba 3.0.12 code base and is provided for testing only. This release is *not* intended for production servers. However, there have been several bug fixes and new features added since 3.0.11 that we feel are important to make available to the Samba community for wider testing. Common bugs fixed in 3.0.12pre1

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 This is a preview release of the Samba 3.0.12 code base and is provided for testing only. This release is *not* intended for production servers. However, there have been several bug fixes and new features added since 3.0.11 that we feel are important to make available to the Samba community for wider testing. Common bugs fixed in 3.0.12pre1

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Quoting from the "Little Book of Calm": This is a release candidate of the Samba 3.0.12 code base and is provided for testing only. While close to the final stable release, this snapshot is *not* intended for production servers. If all goes well, this this version (or something very similar) will become the final 3.0.12 stable release.

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Quoting from the "Little Book of Calm": This is a release candidate of the Samba 3.0.12 code base and is provided for testing only. While close to the final stable release, this snapshot is *not* intended for production servers. If all goes well, this this version (or something very similar) will become the final 3.0.12 stable release.

Hi guys My data is Tasmania txt There are *N *= 16 samples, consisting of 8 replicate cores (taken from different areas across the sandflat) from each of 2 natural 'treatments' (either disturbed "D" or undisturbed "U" by soldier crab burrowing activity. The abundances of each of *p *= 56 species were recorded from each core (variables 1 to 39 in the file are

I am trying to obtain adjusted means and standard errors for a three way ANOVA I have three effects, two continuous; fire frequency and annual precipitation, and one categorical; soil type in an unbalanced design. I am testing the effect of annual precipition (AP), soil type (ST), and fire frequency (FF) on stem count (SCt) My data table looks as such: ST FF AP SCt 3 Coy

Hi R-users, I would like to use the copula package.? I? the package plus the mvtnorm and try to run the example given, but I got the following message: install.packages(repos=NULL,pkgs="c:\\Tinn-R\\copula_0.8-3.zip") norm.cop <- normalCopula(c(0.5, 0.6, 0.7), dim = 3, dispstr = "un") t.cop <- tCopula(c(0.5, 0.3), dim = 3, dispstr = "toep", df = 2, df.fixed =

Hello everyone, Here is the setup. z is a 119 x 15 matrix, m_index is a 119 x 5 matrix What I am trying to do is return the results from fitCopula by sequentially binding all 15 columns of z to the first column of m_index, (cbind(z[,1],m_index[,1]),(cbind(z[,2],m_index[,1]), etc. Unfortunately, my code below only binds z[,1] and m_index[,1] and return the same result 14 times. Any ideas on

Hi All! I am interested in testing whether the means for the data I am investigating are equal to a specific value - let's say 0.01. I have already run a one-way ANOVA and know that the differences in the means are not significant, so now I want to know what values the means take on. "otestme" is the data I am working with (it would be hard for me to get into a form that would be

Hello everybody, I have a big problem that I do not manage to solve ! I will be very grateful if you can solve this ! I want to fit a t Copula with the copula package : > student.cop <- ellipCopula("t", param = c(0.5, 0.6, 0.7), dim = 3, dispstr = "un",df=5) > x<-rcopula(student.cop,1000) > fit <- fitCopula(x, student.cop, c(0.5,0.5,0.5,5)) And there is an

Dear R-helpers, I am trying to plot a Bland-Altman-Plot using the BA.plot function from the package MethComp. While there is a function to transform the values for analysis as shown in the snippet below, I would like to have logarithmic axes for display as well. The usual log = 'xy' does not work because of the properties of the y-asxis (positive and negative values). I am sure that

Hi, I want to run a quantile regression (Y=a+bX+e) using normal and t copula for my dissertation. I 've read the documentation of "copula" and "copBasic". However, I still have difficulty to deal with my data. Details are as following: I've already loaded xls data into r using "XLConnect" package. excel.file<-file.path("Q:/dailyvstoxx.xls")

Hello R users, A beginners question which I could not find the answer to in earler posts. My thought process: Here "z" is a 119 x 15 data matrix Step 1: start at column one, bind every column with column 1 Step2: use the new matrix, "test", in the fitCopula package Step3: store each result in myfit, bind each result to "answer" Step4: return "answer"

Server: - AIX5.3 with JFS2 file systems - IBM pSeries 520 (1.9GHz p5+ CPU) - Samba 3.0.22 (and the same problem exists in 3.0.21a) - I tested Samba compiled from sources with GCC 4.0.2 and 3.4.3 same result for both. I also downloaded the AIX binary from http://us4.samba.org/samba/ftp/Binary_Packages/AIX/ and it has the same problem as well. Client: MS Windows XP SP2 We have an application that

is() does not catch parent S3 classes: > library(splines) > temp <- bs(1:99, df=5) > class(temp) [1] "bs" "basis" > is(temp, "basis") [1] FALSE In contrast, is() does catch parent S4 classes: > library(copula) > norm.cop <- ellipCopula("normal", param = c(0.5, 0.6, 0.7), + dim = 3, dispstr = "un")

Here''s the exception: undefined method `missing_since'' for 1140030500.21:Float And here''s the code: %= cop.lost.missing_since if cop.lost.has_attribute?(:missing_since) %> Interestingly enough, the value quoted (1140030500.21:Float) is the value of the missing_since attribute.... Also, this code: <%= cop.lost.attributes %> Results in this:

Dear R users, I am trying to analyze multivariate abundance data using the mvabund package, but errors occur for several functions. I created a mvabund object named faunadat consisting of 8 dependent variables each containing 64 positive integer values (bact, fung, plant, omn, pred, orib, meso, spring). There are 4 factors: harv, rep, depth and lit. I then created a formula: >

Hi all, Has anyone used the qua.regressCOP2 function from the copBasic package??? The default copula function used in this function is plackett copula and I wanted to use archimedean copula. Attached below is my code: mycop<-frankCopula V=seq(0.001,0.99,by=0.000217) R<-qua.regressCOP2(0.25,V,cop=mycop,para=c(3.504)) And this is the error I get: Warning messages: 1: In

dear list, i just found this post in the archive: ---------------- On 23-Apr-05 Bill.Venables at csiro.au <https://stat.ethz.ch/mailman/listinfo/r-help> wrote: >:* -----Original Message-----*>:* From: r-help-bounces at stat.math.ethz.ch <https://stat.ethz.ch/mailman/listinfo/r-help> *>:* [mailto:r-help-bounces at stat.math.ethz.ch