similar to: How does Samba know which driver goes with which queue?

Hi, We are having a problem with smbclient running tar back to a FreeBSD system for Amanda. smbclient seems to be choking on large files. Of the many singularly uninformative error messages, the primary error* is "invalid mid from server" Searching all FAQ's and news groups shows this has been a problem for several users since 8/2000 with no published response from anyone except a

Dear all, I am trying to look for a built in function that performs the cochran Q test. that is, cochranq.test(X) where X is a contingency table (maybe a matrix or data.frame). The output will naturally be the test statisitcs, p-value, etc. A quick search on Google gives me the cochran.test in the 'outlier' package, but I had a look at the description of the test and it doesn't look

Hi, I have been trying to use the function cochran.test from the Outliers package to test for homogeneity of variance. This works well except when I use transformed data. Would anyone have an idea why it doesn't work and how I could do the cochran test on transformed data? Thanks, Stephanie >library(outliers) > set.seed(1234) > x=rnorm(100) >

Hello, I'm new in this R world and I don't know much about statistics, but now I have to analize some data and I've got some first queries yet: I have 5 sets of area mesures and each set has 5 repetitions. My first step is to check data looking for outliers. I've used the outliers package. I have to use the cochran test and the grubbs test in case I find any outlier. The problem

How can I define environments within a function so that they are visible to calls to a sub-function? I have defined an objective function, ProfileErr = function(params,...) which I would like to optimize using standard routines (optim, nlminb,....) but which contains auxiliary variables which need to be updated along with params. No optimization routine in R that I have found has facilities

Hello, I have some satellite tag time-at-depth (TAD) frequency data that I would like some help with. The data was transmitted via satellite as percent time spent in each of 7 depth bins (0m, 0-1m, 1-10m, 10-50m etc.), binned over 6-hour intervals. I categorized each row of data corresponding to a date and time into summer vs. winter, and day vs. night, and then summed and averaged the given

Hello all I wish to perform a mcnemar.test() for a 5X5 matrix. Wikipedia tells me (http://en.wikipedia.org/wiki/Cochran_test) I should turn to cochran.test. The only place I found it was in the "outliers" package, but the command cochran.test() acts differently then mcnemar.test() , and doesn't take a table as input. Any ideas on how to use it ? #Example code: aa =

Hello - I am having a problem with the function 'integrate'. I am running R on OSX (R 2.5.1). I am trying to suppress the error message when 'integrate' attempts to integrate across a parameter set giving a non-finite function value. I'm using it in a MCMC / simulated annealing algorithm, and it is entirely possible that some parameter sets will give non-

For a Monte Carlo study I need to extract from an lme model the estimated standard deviation of a random effect and store it in a vector. If I do a print() or summary() on the model, the number I need is displayed in the Console [it's the 0.1590195 in the output below] >print(fit) >Linear mixed-effects model fit by maximum likelihood > Data: datag2 > Log-likelihood:

The mem2reg pass will rewrite allocas and loads and stores to SSA virtual registers. Essentially it's a transformation from non-SSA to SSA form. That said, I don't know if you want your students to implement their own SSA transformation. Reid On Sat, Apr 23, 2011 at 1:57 PM, Cochran, Wayne Owen <wcochran at vancouver.wsu.edu> wrote: > It is my understanding, the alloca memory

While I recently received some very helpful files and email from Kevin Hendricks for compiling with ATLAS, thought I'd first have a stab at ACML. Having problems, which I suspect are trivial to solve: 1. machine is running RHEL 4, meaning, it uses gcc 3.4.5 out of the box, and g77. In my experience, over-riding RHEL's choice, and manually upgrading to gcc 4.x.x (and, as a consequence

It is my understanding, the alloca memory routines are used for forcing variables to be allocated on the stack frame -- which you would want for source level debugging. When SSA registers are used, LLVM will decide what goes into registers and what will spill over to the stack frame. I want the latter. --w Wayne O. Cochran Assistant Professor Computer Science wcochran at vancouver.wsu.edu

I have a print method for a set of statistical tests, vcdExtra::CMHtest, for which I'd like to have more sensible printing of pvalues, as in print.anova(). [Testing this requires the latest version of vcdExtra, from R-Forge **|install.packages("vcdExtra", repos="http://R-Forge.R-project.org")|** ] With my current print method, I get results like this, but all Prob values

Normally, I do symbolics in Maple, or Mathematica, but I'm trying to write a simple script for students to handle some *very* simple calculations (for other purposes) with matrix or vector elements, where the elements are coded symbolically. What I've tried with *partial" success is use of the tilde (~) operator. So, for example, consider a simple vector: test=matrix(c(~

Dear List, I am looking for what B.S.Everitt refers to as Cochrane Method for testing independence in combined 2x2 contingency tables. Is it the same method as the Cochran-Mantel-Haenszel Chi-Squared Test for Count Data in R? Thanks, Serguei [[alternative HTML version deleted]]

I have a query after finding an error running Rtools on a Windows machine. I am trying to build an update to the R fda library using Rtools27 under Windows XP Pro. This is the current fda library on RForge: http://r-forge.r-project.org/projects/fda Following R CMD build, R CMD check produces the following error in 00Install.out: installing R.css in F:/work/RForge/fda.Rcheck make: ***

Hi Andy, I know this topic has been discussed before on the R-help, but I was wondering if you could offer some advice specific to my application. I'm using the R random forest package to compare two classes of data, the number of cases in each class relatively low, 28 in class 1 and 9 in class 2. I'd really like to use R environment to analyze this data, however I'm finding it

Dear sir, I am Shibu John from Thrombosis Research Institute India. It is a multidisciplinary organisation concerned with the interrelated problems of thrombosis and atherosclerosis. I was searching for Cochran armitage trend test program in R. Then I had seen your R coding for C-A trend test. I tried that in the R software. But I can?t run the program due the [Error: could not find function

Hi, All, I am getting some funny results trying to use R's built in distribution functions. In R: > dgamma(4.775972,1.37697964405418, 0.106516604930466) [1] 0.05585295 > dgamma(4.775972,1.37697964405418, 0.106516604930466,TRUE) ### THIS IS JUST WRONG! [1] 0.01710129 > log(dgamma(4.775972,1.37697964405418, 0.106516604930466)) [1] -2.885033 > In C:

Hi, I uninstalled my R's 1071, and installed R1081. But now, it appears that I cannot read in files using the same commands that I used previously. The command I type is m<-read.csv("E:/T6.25.8.02.StdDates.csv", header=TRUE, sep=",",quote="\"",dec=".",fill=TRUE) The error gives me is Error in file(file, "r") : unable to open