similar to: choosing the correct number of clusters usinf NbClust

I have the same problem you mention here. As there is no answer, did you find the way to obtain the optimal number of groups? Thank you! [[alternative HTML version deleted]]

i m using a package NbClust for cluster analysis. in the following algorithm ->NbClust(m, diss="NULL", distance = "euclidean", min.nc=2, max.nc=15, method = "ward", index = "all", alphaBeale = 0.1) i want to define my own dissimilarity matrix of dimension 38*38. my original data "m" is a matrix of 365*38. whenever i define my own dissimilarity

Dear All,i applied "NbClust", to my data to find optimum number of clusters, and got following resultsNow, i don't know how to read these results. more precisely, i would like to know, how to see which method is more precise for my data considering these index values.your help is needed...thanks in advance Eliza Botto > dput(Eliza)structure(list(All.index = structure(c(2, 3, 4, 5,

Buenos dias, desde hace algunos dias estoy realizando un trabajo,mi computadora es una DELL, windows 10 64 bits, 8G de RAM y disco de estado solido, estoy procesando 29000 filas y 23 columnas, mi codigo es este: nb <- NbClust(datos.scaled, distance = "euclidean", min.nc = 2, #max.nc = 10, method = "complete", index ="all") . y mi error es este: Error:

What configuration should be set in a custom compiled libvirt to get the most out of the xen libxl? [ -f Makefile ] || ./configure --prefix=/usr --libexec=/usr/lib/"$pkgname" --sbindir=/usr/bin \ --with-storage-lvm=yes --with-udev=yes --without-hal --disable-static \ --with-init-script=systemd --with-systemctl=yes --with-systemd-daemon=yes \ --with-qemu-user=nobody

Dear useRs, i am using NbClust to determine appropriate number of cluster for hclustering. i am consistently getting the following error Error in if (is.na(n) || n > 65536L) stop("size cannot be NA nor exceed 65536") : missing value where TRUE/FALSE needed Does any one know where i am wrong?? thanks in advance eliza [[alternative HTML version deleted]]

Dear list: I've tried professor Roger Bivand's spdep package for a while, and found it is quite useful. However, when considering the significance test of the local moran's index under the assumption of both normality and randomization, I just can't get a clue from the package's calculating results. I also read professor Luc Anselin's 1995 LISA paper (geographical

On Thu, August 3, 2006 15:28, David Jonas wrote: > On Thu, 2006-08-03 at 15:07 -0400, Scott Zahn wrote: >> Hey everyone, I'm trying version 1.0rc2, via the rpm at ATrpms. I'm running on CentOS >> 4.3 on an Opteron system. I have this running stably on a 32 bit system, but I'm >> crashing constantly on a 64 bit system. >> >> Here's what I'm

Hey everyone, I'm trying version 1.0rc2, via the rpm at ATrpms. I'm running on CentOS 4.3 on an Opteron system. I have this running stably on a 32 bit system, but I'm crashing constantly on a 64 bit system. Here's what I'm getting in my mail logs when I try to log in via IMAP: Aug 3 15:01:21 lisa dovecot: imap-login: Login: user=<scottz>, method=PLAIN,

Dear all, I have a dataset that looks like this: x <- read.table(textConnection("col1 col2 3 1 2 2 4 7 8 6 5 10"), header=TRUE) I want to rewrite it as below: var1 var2 var3 var4 var5 var6 var7 var8 var9 var10 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0

Hello! I have written an R script on a Windows platform where I calculate eight result matrices I plot using matplot. I would like to display the resulting plots successively, rather than simultaneously, and I was wondering if anyone could point me in the right direction as to how to do this. The graphs pop up in this manner by default when I run my script in S-PLUS, with tabs separating them so I

I don't understand this behavior: > a <- c(0, 1, 2, 3) > b <- c(1, 2, 3, 4) > ifelse (a == 0, 0, b[a]) [1] 0 2 3 1 rather than the desired 0 1 2 3. Thanks for any explanation.

I apologize for posting a 2nd time. My prior email had an incorrect email address for sending your resume. This is now corrected. Please send your resume, wage history and requirements to HR at salford-systems.com<mailto:HR at salford-systems.com> From: Lisa Solomon Sent: Friday, February 19, 2016 10:57 AM To: 'r-sig-jobs at r-project.org' Subject: 2 job postings: Data

I am having problems adding a user. Here is some background: OK this is my first attempt to build a Samba server so be gentle. Operating System: Fedora Core 3 Samba version: 3.0.10-1.fc3 I have set up a Stand-alone server to support my 4 client machines (all WinXP boxes w/o a domain). I had some difficulties getting things to work and eventually traced them down to a Firestarter

I'm having trouble figuring out how to create a function using "body<-" (). The help file for body() says that the argument should be a list of R expressions. However if I try that I get an error: > tmpfun <- function(a, b=2){} > body(tmpfun) <- list(expression(z <- a + b),expression(z^2)) Error in as.function.default(c(formals(f), value), envir) :

[------------------------------------------------------] [ Cross-posted to samba and samba-ntdom mailing lists. ] [ Apologies for duplicates. ] [------------------------------------------------------] Fyi folks, Last year I served as co-chair for this conference (LISA-NT). It provides a very good outlet for letting others know some of the extremely interesting

I want to use LISA finite element program (http://www.lisa-fet.com/) under my Ubuntu machine. I did install Wine and it runs ok, then I install LISA and it installed without any error. However whrn I run LISA, it did not appear on the screen without any error? Anyone can assist how to me LISA running?

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Hi All, I want to ask if there is a transpose function for data frame like the procedure of transpose in SAS? Because I want to partially transpose a data frame which contains 5 columns (siteid, date, time, obs, mod), what I want to do is to put time as the column variables along with siteid, and date, and put obs and mod in the row names. specifically to transpose a data frame: siteid date

I know R has a steep learning curve, but from where I stand the slope looks like a sheer cliff. I'm pawing through the available docs and have come across examples which come close to what I want but are proving difficult for me to modify for my use. Calculating simple group means is fairly straight forward: data(PlantGrowth) attach(PlantGrowth) stack(mean(unstack(PlantGrowth)))