similar to: partial mantel

Hi, I want to know which distance is using in the function kmeans and if we can change this distance. Indeed, in the function pam, we can put a distance matrix in parameter (by the line "pam<-pam(dist(matrixdata),k=7)" ) but we can't do it in the function kmeans, we have to put the matrix of data directly ... Thanks in advance, Nicolas BOUGET

Hi, for interested in participation on finishing new HTB developement I created simple docs regarding it. It is some insight into CBQ and HTB workings and problems. See luxik.cdi.cz/~devik/qos/htb/v3/

> DATA [,1] [1,] -2.0314185 [2,] -0.3594015 [3,] -1.3225832 [4,] 1.5050892 [5,] -0.4535558 [6,] 3.6335036 [7,] 5.1965750 [8,] 4.2923129 [9,] 6.0913187 [10,] 4.9131070 > RESA [,1] [,2] [,3] [,4] [,5] [1,] -2.0314185 1.5050892 -1.3225832 -1.3225832 -2.0314185 [2,] -0.3594015 -0.3594015 4.2923129 -0.3594015

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On Tue, Nov 05, 2002 at 08:37:00AM -0800, Martin Pool wrote: > On 10 Oct 2002, "Green, Paul" <Paul.Green@stratus.com> wrote: > > No new CVS messages have appeared on the rsync-cvs archives since August > > 30th. This seems rather odd-- perhaps a daemon stopped working? If there > > has truly been no activity since that date, I apologize for > >

Hi, Is there a equivalent of the function "eboulis()" (which is a new funtion on Splus) on R? Otherwise, with which function can we see the best number of cluster we have to choose? Thanks in advance, Nicolas BOUGET

i''ve installed mrtg to make graphics of the trafic from the interfece throw the snmpd, and the same with ipac witch put iptables accounting rules colect them and store, and gets the output, but the "problem" is that ipac graphics are 3 times smaller that the snmpd. Why??? i did catch all the trafic with ipac so no problem here, and i know that ipac/iptables is at level 3, and

Hi perhaps someone else already had the same problem. Problem description: I''m running a class B University network with approx 10k hosts attached. I would now like to stop traffic from and to hosts in my network not already registered in my DNS server. This means I''ve to handle with approx 50k rules|routes. Sure I can summarize the unalloctaed address space a little bit with

Greetings, As previously reported by me to the Debian bug tracking system: ---------------------------------------------------------------------- An access list in rsyncd.conf may contain hostnames as well as addresses. It may contain several patterns to match against. address_match (in access.c) does this by trying to match hostname and address against each of the patterns until a match is

Can anyone recommend something for tracking assets particularly computer. I'm looking to capture: hostname OS/arch Hardware info(cpu, mem, etc) Function(i.e. what is the machine used for) -Mark

Hello everyone, We are working on HTB with TC and would like some clarifications from your part. Our example is as follows. We have one HTB root class and two HTB classes attached to it, as in this figure : 1: HTB | | |

A small comment: The code of Agnes is written in Fortran. Following book give more details: Kaufman, L. and Rousseeuw, P.J. (1990). _Finding Groups in Data: An Introduction to Cluster Analysis_. Wiley, New York. The 'hclust' function is based an Algorithm contributed to STATLIB by F. Murtagh and the code is written in C. Probably the differences between agnes and hclust causes

Dear R users, Up to now, I only used precompiled packages. As I am working on vegetation ecology, I would be interested in using a package not stored by CRAN called labdsv_0.9-1.tar.gz and developped by Dave Roberts at the National Center for Ecological Analysis and Synthesis (unfortunately I did not find any corresponding .zip file). Although I tried to follow the proposed guidelines to

What you may need is to compile this package from source. It is explained in one of the R manuals (I can't remember which one though). You can also look at my "R Guide for Windows Users" at http://www.stat.auckland.ac.nz/~kwan022/rinfo.php (Section 5). I'm not sure the exact contents in the labdsv_0.9-1.tar.gz , but in general you can first unpack it with, e.g.: tar zxvf

Hi, I want to know if there is a difference between the two hierarchical methods Agnes and hclust when there are used with the same method and the same metric on the same data! I ask this question because I executed the following program: hc <- hclust(dist(AGRIINSTTableFinaleCR), "ward") agnes<-agnes(dist(AGRIINSTTableFinaleCR),method="ward") And clusters are not the

Good day Ma'am/Sir, I am Resa Mae R. Sangco a Master of Statistics student from the MSU- Iligan Institute of Technology located in Iligan City, Philippines. I am currently doing my thesis entitled ?Bayesian Analysis in GJR-GARCH (p,d) model with Student-t innovations". In finding my posterior distribution since it is hard to integrate, I use Markov Chain Monte Carlo simulation

Just updated to 3.0.4 under cygwin and I'm now getting lookup failures in the log. 2008/10/24 00:13:23 [1984] name lookup failed for X.X.X.X: Unknown server error Looking at the code it seems the call will never succeed? /* reverse lookup */ name_err = getnameinfo((struct sockaddr *) ss, ss_len, name_buf, name_buf_size, port_buf, port_buf_size,

https://bugzilla.samba.org/show_bug.cgi?id=5851 Summary: Name lookup failures and CIDR regression Product: rsync Version: 3.0.4 Platform: All OS/Version: Windows XP Status: NEW Severity: major Priority: P3 Component: core AssignedTo: wayned@samba.org ReportedBy:

Dear R-helpers, this mail is intended to mention a rather trange result and generate potential useful comments on it. I am not aware of another posts on this issue ( RSiteSearch("quasipoisson lmer version dispersion")). MUsing the exemple in the reference of the lmer function (in lme4 library) and turning it into a quasi-poisson or quasi-binomial analysis, we get different results,

Dear R community, I'm trying to remove a loop from my code but I'm stock and I can't find a good way to do it. Hopefully one of you will have something clever to propose. Here is a simplified example: I have a squared matrix: > nom.plac2 <- c("102", "103", "301", "303","304", "403") > poids2 <- matrix(NA, 6,6,