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I hate to suggest this, but we need to do what has been done on a few other lists that I'm on. We need to close the list off to only people that are members. It's a shame to see so much spam here after seeing it in my personal mailbox all day long. At 11:21 PM 7/24/97 +0000, you wrote: >Date: Thu, 24 Jul 1997 11:14:25 +0200 (MET) >From: Konstantin Eftaxias <kef@eeb.de>

First, thanks to all for help! To recall, my problem was that I had to type in the passwords for each samba server each time I started NT4. I installed pssword encryption on some servers, and now for them I don?t need to type in the passwords again. Thanks, Konstantin ------------------------------------------------------------------------------ Konstantin Eftaxias Tel.: ++49 711 701 756

Hi all, We (the Samba Team) need some feed back from our user community. Anyone want to help out? All you need to do is post us a one liner. Tell us if you want 8 character length limited print share names or larger. If you really must have longer print share names - then how many characters? Should we limit the length? Background: >From time to time we receive patches to increase the maximum

Author: mcpowers Repository: /hg/zfs-crypto/gate Revision: fe60f7a446374d21a328e49c773229ea0aff3034 Log message: 6303913 NULL in template to C_UnwrapKey causes panic in kEF. Files: update: usr/src/uts/common/crypto/io/crypto.c

4000:6000 gives you 4000, 4001, ..., 6000. I suspect you want population= c(seq(4000, 6000, length=5), seq(3500, 4300, length=5), seq(3000, 3200, length=5)) Bob On 20 September 2017 at 17:07, Shivi Bhatia <shivipmp82 at gmail.com> wrote: > Hi Team, > > I using the syntax as: > > data.df<- data.frame( > city= c(rep(c("Delhi",

I have a simple (!) problem. What I want to do is to create a legend with Greek letters, and substituting numbers into the legend. Like this: mu=1:3 Mean=rep(mu, each=20) plot(runif(60), rnorm(60,Mean,0.1), pch=Mean) # create a plot legend(0.6,1.7, paste("mu =", 1:3), pch=mu) but with a Greek letter mu. I think the solution has something to do with substitute() possibly along with

Hello, I would like to know if there is a function in R that will test for normality and handle censored data sets. Currently, I evaluate each censored data set by the extent to which a normal scores plot approximate a straight line. For complete data sets I use shapiro.test(). Below is an example of a censored data set. data1<-c(0.00, 0.00, 0.00, 5.86, 5.17, 8.17, 5.12, 4.92, 7.08,

I can only assume I'm betraying my ignorance here, but this is not what I would expect. I'm getting the following from a stepwise selection (with both step and stepAIC): > step(lm(sqrt(Grids)~ SE + Edge + NH), scope=~ (Edge + SE + NH)^2) Start: AIC= 593.56 sqrt(Grids) ~ SE + Edge + NH Df Sum of Sq RSS AIC <none> 2147.0 593.6 + Edge:NH 1

The loop never assigns anything to d0, only t. The first line makes t a character string "d0$V1" (or "d0$V2" etc.). The second line assigns either 0 or 1 to t. Looking at this, I don't think you've got into the R psychology (bad news if you want to use R, good news in many other ways). I assume d0 is a list, so could you put the V's into a vector, and then just use

It might help if you provided the code you used. It's possible that you didn't use direction="backward" in stepAIC(). Or if you did, it was still running, so whatever else you try will still be slow. The statement "R provides only the pvalues for each level" is wrong: look at the anova() function. Bob On 29 June 2017 at 11:13, Beno?t PELE <benoit.pele at

Moi! A student here has been getting a bit irritated with some side effects of scale() (OS is Windows XP, the behaviour occurs in R 2.0.0, but not 1.7.1). The problem is that she scales a variable in a data frame, then does a regression, and tries to get some predictions for some new data. However, at this point she gets an error (see the example below). This seems to be because the

This is slightly off-topic, but there was a discussion about MCMC a couple of weeks ago. OpenBUGS can operate from R, at least in Windows (there are some problems in Linux at the moment). The interface with R is one are that there are plans to work on: it's a bit basic at the moment. Bob -- Bob O'Hara Dept. of Mathematics and Statistics P.O. Box 68 (Gustaf H??llstr??min katu 2b)

I am relatively new to NLME, so the solution to the problem I describe here may be obvious. But I've spent several days trying to get the right syntax to formulate random effects for this model appropriately. The full model is: nlme(a ~ a.mitscherlich(a.qe, a.max, lcp, light), data=light, fixed = a.max + a.qe + lcp ~ trt, random = a.max + a.qe + lcp ~ 1 | bench/line,

Hi, I have a Linux machine as Samba Fileserver, authentication through NT PDC, lots of W2K, NT and XP clients and some MAC clients running under OS X 10.2. People share documents on that server and for the M$ clients, it works. The OS X clients can read but not write. The error messages are directory related (permission), and sometimes we get the statement 'disk full'. But there are

I have a problem with nlme on Windows 2000, and I'm having a devil of a time determining whether the problem is with my computer or with something in R. I'm running v1.8.1 on a Dell Pentium III with 512MB of RAM and all of the recommended Windows 2000 updates applied. If I use Rterm, I can run analyses with NLME to my heart's content. But when I run Rgui, I encounter a floating

I'm sure I'm missing something obvious here, but I can't find the solution (including in the FAQ etc.). I have a vector of names of variables like this: NRes.x.y. where x and y are numbers. I want to extract these numbers as numbers to use elsewhere. I can extract the numbers as a list of characters using strsplit(), and convert that to a data frame, e.g.:

The background: I'm trying to fit a Poisson-lognormal distrbutuion to some data. This is a way of modelling species abundances: N ~ Pois(lam) log(lam) ~ N(mu, sigma2) The number of individuals are Poisson distributed with an abundance drawn from a log-normal distrbution. To fit this to data, I need to integrate out lam. In principle, I can do it this way: PLN1 <- function(lam, Count,

I have the following problem. I have some multidimensional data points "x" and a curve "fit" fitted to these points. How can I combine R> pairs(x) and R> pairs(fit,panel=lines) in one plot, so that I can see how good the curve fits the data? A command like R> pairs(x, panel=function(x,y) {points(x,y); lines(lowess(x,y))}) does not work, since I fit the curve in all

We have a lot of diskless Linux clients which are booting via PXELINUX or ETHERBOOT. The problem is that they are on for 24 hours and APM PowerSave mode works for ETHERBOOT only. But in the future we want to use PXELINUX only, which seems to have no features for APM or ACPI PowerSave included. Would it be possible to integrate such features in PXELINUX or is there a way to boot a special image

Hello List, I have a strange problem: I have successfully added my debian system to the local active directory domain. Winbind works and gives me Users, Groups, and relations when I call wbinfo. However, Users cannot connect to a share I prepared. It makes no difference if there is no "valid user = " entry, or if I put an correct entry with my test user. All I get in log.winbindd is: