similar to: How to know the row number of raw matrix after r

> 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

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/

Dear all, Has anyone written R code for partial Mantel Tests- as described for instance in Legtendre & Legendre (1998) ? In other words, in a community ecology analysis, I would like to calculate the correlation between two dissimilarity matrices, controlling for a third distance matrix representing geographical distances between sites. Thanks! Christophe Bouget Biodiversité et gestion des

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 > >

Dear people, I've spent some time trying to find a simple way to do the following. I can certainly think of complicated ways to do it... I have a data set of 99 columns and 2000 rows. Each row corresponds to an individual item of data, each column corresponds to a variable. I want this data to be read into a data frame. The first 66 columns are binary, values 0, 1, and I want these to be

I need help on calling the svydesign function in the survey package (although this error appears not to be specific to svydesign). I am passing parameters incorrectly but am not sure how to correct the problem. ## Call the main function PS.sim (one of mine). The dots are parameters I omitted to simplify the question. ## y.col, str.col, clus.id, and PS.col are names of columns in the object pop.

Dear WizaRds, I am trying to compute the (adjusted) Rand Index in order to comprehend the variable selection heuristic (VS-KM) according to Brusco/ Cradit 2001 (Psychometrika 66 No.2 p.249-270, 2001). Unfortunately, I am unable to correctly use cl_ensemble and cl_agreement (package: clue). Here is what I am trying to do: library(clue) ## Let p1..p4 be four partitions of the kind

Dear people, A somewhat clueless question follows: I just discovered that the lme function in contrib package nlme for R, while similar to the lme function in Splus, does not use the cluster function option. This difference does not appear to be documented in the V&R `R Complements' file. I have data which is divided into 6 groups The lme model is of the form (simplified from the actual

Dear R-listers, I do clustering on tens of individuals by thousands of traits. I have known the assignment of each individual. I want to classify the individuals by randomly resampling different subsets of the traits, for example, randomly resampling 100 traits for 100 times, then 200 traits for 100 times, then 300 traits for 100 times, ,,,,,,. By each subset of traits, I do clustering of the

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, can anyone help me fit betabinomial model to the following dataset where each iD is a cluster in itself , if i use package aod 's betabinom model it gives an estimate of zero to phi(the correlation coeficient ) and if i fix it to the anova type estimate obtained from icc( in package aod) then it says system is exactly singular. And when i try to fit my loglikelihood by

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

Hi All, Mysql service is going down continously in my system due to lack of memory space. I checked the messages log and found the following error message. All mbuf clusters exhausted, please see tuning(7). I have no idea about mbuf cluster. Can anyone please help me to fix the issue. I hope the information below will help you. Following is the output of top. last pid: 84718; load

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 | | |

Hello, In cluster analysis with cluster, how does one colour the silhouette plots ? For example in using pam. There seems to be some problem there. Everything else can be coloured. Thanks, A. Mani Member, Cal. Math. Soc

Hi R-helpers I have a dataframe DF (lets say with the variables, y, x1, x2, x3, ..., clust) containing relatively many NAs. When I fit an ordinal regression model with the function lrm from the Design library: model.lrm <- lrm(y ~ x1 + x2, data=DF, x=TRUE, y=TRUE) it will by default delete missing values in the variables y, x1, x2. Based on model.lrm, I want to apply the robust covariance

Puede que no me haya expresado certeramente. Es lo que pasa al tocar de oído. Tengo unos datos (df) de los que se alguien calculó unas distancias (dis.df) de las que se hicieron/hacen unos clusters (plot.clus.dis.df). Todo esto usando un programa on line al que no tengo acceso para ver cómo hace los cálculos. Yo tengo los datos, y el programa también me da la matriz de distancias. Quiero,

I am using R 1.3.0 on Windows 2000. For an experiment, I am wanting to find the most diverse 400 items to study in a possible 3200 items. Diversity here is based on a few hundred attributes. For this, I would like to do a clustering analysis and find 400 clusters (i.e. different from each other in some way hopefully). From each of these 400 clusters, I will pick a representative. I expect