similar to: SMP, Single System Image clustering, multithreading

Hi all, is there any package in R capable of smooth approximation of CDF basing on given sample? (Thus, I am not speaking about ecdf) In particular, I expect very much that the approximation should subject to the property: f(x0)<=f(x1) for x0<x1, where x0 and x1 belong to range of the sample given. Polynomial approximation could be OK for me as well. P.S.

Hi devels, i did not find at this page: http://developer.r-project.org/ideas.txt any ideas concerning incorporating documentation possibilities (say, Sweave-based) into R-scripts. Was it discussed already? (If discussed, then what is the decision/conclusion then?) thanks, Valery

Hi all, Situation: there is a function `f' already defined by someone and provided in package. `f' looks like that: f <- function() { x+1 } i.e. `f' is not closed i.r.t. term `x' now I have my own function `g', where I'd like to override variable `x' while calling `f': x <- "dummy gloabal value" g <- function() { x

Hi All is there "homals" package prepared for win32? kind regards, Valery A.Khamenya --------------------------------------------------------------------------- Bioinformatics Department BioVisioN AG, Hannover

Any thoughts on running Xen on OpenSSI? We have an app we''d like to cluster but is expressly and completely incompatible with the OSes that OpenSSI are supported on, but if we can run several Xen domains on a cluster we can run those OSes and, naturally, that app. Thoughts? CD _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com

> On only ten points, what did you expect ? Even with 1000 > observations, estimating a density is difficult, and has > been the subject of a century of research. Kernel density > estimates are among the most successful. For your immediate > application, try plot(density(rnorm(10)), type="l"), etc. wait, you misunderstood me! I'd like to see 10 or 9 points with

Hi all, I took a look at last 2 months post in R-help maillist and surfed through the R-project.org . Unfortunately, I can't find some page with roadmap/statements about major changes coming in R-2.0 in comparison to R-1.9 Could anyone point me to the right URL? Thank you in advance. -- Valery

Hi all, I took a look at last 2 months post in R-help maillist and surfed through the R-project.org . Unfortunately, I can't find some page with roadmap/statements about major changes coming in R-2.0 in comparison to R-1.9 Could anyone point me to the right URL? Thank you in advance. -- Valery

Hi all, What is the right portable way to save graphics in batch mode? Remarks: 1. Problem is STFWed and RTFMed. In particular a short note about png() is found in R-FAQ. In fact, there were stated that png() is not reliable under Linux in batch mode. 2. savePlot under windows is quite convenient, but not supplied under Linux. 3. pdf() + postscript() < savePlot()

> See the 'Writing R Extensions' manual, specifically > Creating R Packages -> Writing package vignettes thank you, i saw this entry. However, this entry is rather about how to include documents (in particular Sweave-based) into a package. But I have meant smth else. Let me explain in example. Today I use emacs as environment for my R-sessions. I am quite happy to use

Hi all, once more about the old subj :-) My data has too much various distribution families and for every particular experiment I need just to decide whether the data is "quite homogeneous" or it has two or more clusters. I've revisited the following libraries: amap, clust, cclust, mclust, multiv, normix, survey. And I didn't find any ready-to-use general

Hi All, following expression: x <- sort(rnorm(10)); e <- ecdf(x); d <- numericDeriv(e(x),"x"); makes d far from approximation of one dimensional pdf. What's wrong then here? Kind regards. --------------------------------------------------------------------------- Valery A.Khamenya Bioinformatics Department BioVisioN AG, Hannover

Hi All, We'd like to use functions provided in R in our application. Our application is written in C/C++ and currently runs on win32, Linux and Mac. We'd be happy to attach the whole R ( i.e. not just transfer some function by hand). It is important that we deal with big amount of data, so "command line"-like invocations won't be very interesting. We'd

Hi All, We'd like to use functions provided in R in our application. Our application is written in C/C++ and currently runs on win32, Linux and Mac. We'd be happy to attach the whole R ( i.e. not just transfer some function by hand). It is important that we deal with big amount of data, so "command line"-like invocations won't be very interesting. We'd

Hi All, while looking why the cclust(cclust) doesn't work for 1-dimensional data, I've found unpleasant behavior in semantics of R. Indeed: is.matrix(matrix(cbind(c(1,2,3,4)),ncol=2)[1:2,]) == TRUE but: is.matrix(matrix(c(1,2))[1:2,]) == FALSE kind regards, Valery A.Khamenya --------------------------------------------------------------------------- Bioinformatics

> Well, that is in all good texts on R, together with the > solution: drop=FALSE. See ?"[" for the on-line details. OK. Thank you a lot. Now patched cclust and clustIndex work fine for 1D case. BTW, why not to apply the "drop=F" to these functions? I guess other users need 1D case as well. kind regards, Valery A.Khamenya

Hi *, I spent two days to try to solve the following problem without success... (google, archives, ...) Platform: RedHat 9 (OpenSSI cluster) with Samba 3.0.6. The server successfully joined a domain and act as a file server. winbindd runs to map users between the NT & Linux world. wbinfo [-t|-p|-u|-g] -> ok getent passwd -> ok I can successfully see all the Windows users as

Forgive me if I sent this twice, I think I hit the "send" button by mistake. --- Bj�rn Tore Svinningen <bt@erter.org> wrote: > I''ve seen your post on xen''s forum about running Xen ontop of openssi. > > Have you got''en any further on this idea ? Had the same idea myselves, > but it seems all posts I find end nowhere. Hm, I thought this

Hello, If one would like to build a redundant Asterisk setup, would it be possible to exchange the locationdb for the SIP users between then? IE, the following setup: SIP Phones -------------- Asterisk ------------------------ SIP carrier | | ------- Asterisk (standby) ------ Asterisk is used as a PABX in this setup, so the

Hi Dimitris, thank you for your reply, > does the following work in your data: > > levs <- unique.default(Names) > factor(Names, levs[order(unique.default(Weights))]) your solution is really shorter, but has two issues to be meant here: 1. "unique.default" is applied twice, what might be a bit expensive for strings. 2. your solution brings an implicit