search for: warde

Dear useRs,Is there a command or package in R to do heirarchical clustering by "modified ward method"??regardseliza [[alternative HTML version deleted]]

Buenas noches; vengo con una consulta, que no se si es fácilmente resoluble o necesito saber más para entender porqué no tengo que hacer lo que me propongo. Tengo una matriz de distancias y unos clusters según metodo "ward" que me los da una web construida hace ya unos años. Supongo que fue publicada en el 2012, por lo que estará construida en el 11, 10 o antes). Esta web me devuelve

...log file = /var/log/samba/log.%m max log size = 1000 client ldap sasl wrapping = plain ldap server require strong auth = No load printers = No cups server = printers.example.com panic action = /usr/share/samba/panic-action %d dns forwarder = 10.4.4.10 rpc_server:tcpip = no rpc_server:winreg = embedded rpc_server:ntsvcs = embedded rpc_server:eventlog = embedded rpc_server:srvsvc = embedded rpc_server:svcctl = embedded rpc_server:default = external winbindd:use ex...

Hi folks, I am trying to do a clustering and generate a long dendrogram in R on Linux server: ========= data<-read.table(file="mean_ratio.txt.noheader",row.names=1,sep="\t",quote="\"") hc<-hclust(dist(data),"ward") png(file="mean_ratio.txt.noheader.ward.png",bg="white",pointsize=8,width=32767,height=1536) plot(hc,hang=-1)

Hi, I am new to clustering and was wondering why pvclust using "maximum" as distance measure nearly always results in p-values above 95%. I wrote an example programme which demonstrates this effect. I uploaded a PDF showing the results Here is the code which produces the PDF file: ------------------------------------------------------------------------------------- s <-

Hello everyone! My data is composed of 277 individuals measured on 8 binary variables (1=yes, 2=no). I did two similar cluster analyses, one on SPSS 18.0 and one on R 2.9.2. The objective is to have the means for each variable per retained cluster. 1) the R analysis ran as followed: > call data > dist=dist(data,method="euclidean") >

Hi. Does anyone have samba 2.2.2 on Solaris 8 working with winbindd? I have samba 2.2.2 installed and configured --with-winbind and have the winbindd daemon running but the following does not work: 1. "getent passwd" Solaris command on returns local users (no Domain users) 2. winbindd authentication to the PDC is not occurring. 3. local users cannot change password since I modified the

On Tue, 13 Sep 2016 15:20:29 +0100 ash-samba--- via samba <samba at lists.samba.org> wrote: > > And to get it editable: > > > > ldbedit -e nano -H /usr/local/samba/private/sam.ldb --cross-ncs > > --show-binary -b > > 'DC=_ldap._tcp.pdc,DC=_msdcs.samdom.example.com,CN=MicrosoftDNS,DC=ForestDnsZones,DC=samdom,DC=example,DC=com' > > -s base > >

Hi all, I'd like to write a piece of code which will remove columns from a matrix, if the column contains only one value, say every value in the column is a "3": Matrix <- matrix(NA, nrow=5, ncol=4) Matrix[,1] <- c(1,2,3,4,5) Matrix[,2] <- c(3,3,3,3,3) Matrix[,3] <- c(5,4,3,2,1) Matrix[,4] <- c(5,1,4,3,2) [,1] [,2] [,3] [,4] [1,] 1 3 5 5 [2,] 2

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,

Dear R-Help-Team, I would like to cluster my data using the ward-method. In several papers I read (e.g. Bahrenberg) that it is neccesary to use the "squared euclidean distance" with the ward-method. Unfortunatelly I cannot find this term in r as a method for measuring the distance. Does anybody have an idea? Thanks in advance, Carolin [[alternative HTML version deleted]]

Dear R community, I am trying to understand how the ward linkage works from a quantitative point of view. To test it I have devised a simple 3-members set: G = c(0,2,10) The distances between all couples are: d(0,2) = 2 d(0,10) = 10 d(2,10) = 8 The smallest distance corresponds to merging 0 and 2. The corresponding ESS are: ESS(0,2) = 2*var(c(0,2)) = 4 ESS(0,10)

Hello, I want to use pearson's correlation as distance between observations and then use any centroid based linkage distance (ex. Ward's distance) When linkage distances are formed as the Lance-Williams recursive formulation, they just require the initial distance between observations. See here: http://en.wikipedia.org/wiki/Ward%27s_method It is said that you have to use euclidean

Hi! Does anyone know how to do the test for goodness of fit of a logistic model (in rms package) after running fit.mult.impute? I am using the rms and Hmisc packages to do a multiple imputation followed by a logistic regression model using lrm. Everything works fine until I try to run the test for goodness of fit: residuals(type=c("gof")) One needs to specify y=T and x=T in the fit. But

Hi, I'm currently using EMA package to make clustering and heatmaps. The online doc concerning the package gives the following example code: data(marty) c<-clustering(marty, metric="pearson", method="ward") clustering.plot(c, title="Hierarchical Clustering\nPearson-Ward") which is working perfectly, However, when I'm changing the method to

Hello Users: I'm using R version 2.0.1, and having problems with RODBC. Everything works fine when I use Rgui, but when I try to use Rterm and issue the commands library(RODBC) con <- odbcConnect("MySQL", "test") I get the following error: Error in sqlQuery(con, str) : first argument is not an open RODBC channel In addition: Warning messages:

Hi, This is probably a small query but one I'm struggling with: I have a list in which I had elements which were NA, I removed them, by doing: list2 <- lapply(list, na.omit), However this leaves the element there with 'character(0)' in place as well as attributes: e.g. [[978]] character(0) attr(,"na.action") [1] 1 attr(,"class") [1] "omit" I want

I have a training set of data for known classes with 5 observations of 12 variables for each class. I want to use this information to classify new data into classes which are known to be different to those in the training set but each new class may contain one or more observations. The distribution of within class distances is expected to be similar for all classes and this is found to be the

I've pulled this down with Firefox, wget, a bittorrent client and an ftp client using Windows as well as Linux hosts. Is something wrong with the distributed DVD image? It has failed an MD5 check every time I've pulled it down. Paul Fontenot Wells Fargo Public Key Infrastructure Team Cryptography Services|IST|EIM|TES|TIG|Wells Fargo Email: ward.p.fontenot at wellsfargo.com

Hi, I would like to contribute code to make the SNMP driver compatible with HP's AF401A UPS module. It is also compatible with HP's older SNMP modules. It's just a new mib specification plus the necessary changes to snmp-ups.c Several sources have told me that these UPSs use the cpqpower.mib, but comparing that mib at http://www.snmplink.org/cgi-bin/nd/m/Ent/H/Hewlett