similar to: Mclust node labels

Hi, quick question from a social scientist new to R: how do I add labels/row names to the nodes in coordProj / plot.Mclust plots? Apologies if this is a silly question... Thanks. -- Bobby ____________________________________________________________________________________Sick sense of humor? Visit Yahoo! TV's Comedy with an Edge to see what's on, when.

Hello All... I gave a task to my students that involved using mclust to look for clusters in some bivariate data of isotopes vs various mining locations. They discovered something I didn?t expect; the data (called tur) is appended below. p <- qplot(x = dD, y = dCu65, data = tur, color = mine) print(p) # simple bivariate plot of the data; looks fine mod1 <- Mclust(tur[,2:3]) mod1$G mod2

hi, When I try to use the function coordProj {mclust} " coordProj(diabetes[,-1],dimens=c(2,3),what="uncertainy",uncertainty=diabetesModel$uncertainty,parameters=diabetesModel$parameters) " to identify uncertainty, it errors and send this warning message: " Warning message: In coordProj(diabetes[, -1], dimens = c(2, 3), what = "uncertainy", : what

Hi All, I have a n x m matrix. The n rows are individuals, the m columns are variables. The matrix is in itself a collection of 1s (if a variable is observed for an individual), and 0s (is there is no observation). Something like: [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1 0 1 1 0 0 [2,] 1 0 1 1 0 0 [3,] 1 0 1 1 0 0 [4,] 0 1 0

I'm trying to test a method of identifying individuals (birds) based on measured data (their calls). I have test data from known individual birds, and I am using the Mclust package to see if the program can correctly identify which calls come from different birds. So far, mclust has correctly ID'd the number of birds in the test data set (i.e., the correct # of clusters). However I

I've been trying to install some R packages such as mclust and flexmix on linux but have had the following error messages. > I've been trying to install mclust on my notebook which has linpus linux lite os and I have installed R as well as some packages all right. However, when I tried to install mclust, it gave me the following messages. Any suggestions? Tim ++++++++++++++++

My previous messge to the list follows below this one. I found some garbage at the top of the file 'mclust' in the 'R' subdirectory of the package. I deleted that with BBEdit. The package appears to load properly now, although I have not really tested it. I am not sure to whom to report this. I downloaded the package twice, so this may be a problem with the version stored

Howdy, I'm experiencing a segmentation fault when trying to load mclust.so from mclust-1.1-4. I'm using R-1.3.1 on RedHat 6.2, and `gcc --version` reports "egcs-2.91.66". Any ideas? -Andy Package install: > install.packages("mclust") [stuff omitted] Installing source package `mclust'

To Whom It May Concern: I am new to r and mclust, so this may be a silly question. It has also been a lot of years since I have used unix regularly. I have version 1.7.1 of r, precompiled for Classic Mac OS (I am running 9.2.2 on a PowerBook G4). I downloaded the precompiled version 2.0-2 of mclust for Classic MacOS. The implementation of r appears to be functioning properly (various

While looking at someone's question on this list led me to the mclust package, and from there to its license. Excerpts: Except for strict academic use, use of MCLUST (by itself or through other packages) requires payment of an annual license fee and completion of a license agreement found at the following URL: http://depts.washington.edu/ventures/UW_Technology/Express_Licenses/mclust.php 1.

I am following instructions online for cluster analysis using the mclust package, and keep getting errors. http://www.statmethods.net/advstats/cluster.html These are the instructions (there is no sample dataset unfortunately): # Model Based Clustering library(mclust) fit <- Mclust(mydata) plot(fit, mydata) # plot results print(fit) # display the best model This is what I did and the error I

I'm running Mclust 3.0 in R-2.7.0 and have run into a situation where the optimal number of clusters, 12, seems to be greater than the number of colors available to Mclust. The code below, which demonstrates errors, does not if the max no of clusters is set at 10. sessionInfo, after a restart of R and loading of packages, follows the output. Is this a known problem with Mclust? Can I

I am new to r and mclust. I have version 1.7.1 of r, precompiled for Classic Mac OS (I am running 9.2.2 on a PowerBook G4). I downloaded the precompiled version 2.0-2 of mclust for Classic MacOS. It appears (from the example I was using below) that I need a library called lapackLib. There does not appear to be a precompiled version at CRAN. There is a makefile for lapackLib, to use with MPW.

Hi, I am trying to run th mclust package on a variable "Tuberculin indurations" recorded as mm. The file has only one variable. When I run the package I get NULL value for mu and sigma. Can anybody say why? This is the program: library("mclust") mc<-Mclust(x.trab,G=1:9,warn=TRUE) mc mc$mu sqrt(mc$sigmasq) and the output I get is > library("mclust")

> > However... I could become an R convert if I'm told it's > > > > a) mind-bogglingly simple to install on Win Nt > > there are firm limits to my geek credentials > > b) can handle cluster analysis with 2000 records (mclust, preferred, > > although I'd take kmeans if nec'y). Splus 5.0 on the > > Manchester Cray has been falling

Hi, all; I got an unusual error while using mclust library 2.1-7 on R 2.0.1. When I tried to run Mclust(rnorm(100)), I got segmentation fault error. Does anyone know what causes this problem? I came across the same problem even when I tried to run the example shown in Mclust help using iris data. Thanks in advance, Tae-Hoon Chung -------------------------------------------------- Tae-Hoon Chung

Hi, I'm trying to use the library mclust for gaussian mixture on a numeric vector. The function Mclust(data,G=3) is working fine but the fitting is not optimal and is using modelNames="E". When I'm trying Mclust(data,G=3,modelName="V") I have the following message: Error in if (Sumry$G > 1) ans[c(orderedNames, "z")] else ans[orderedNames] : argument is

Dear All, I fear I am badly misunderstanding something fundamental about the mclust package. Please considered the dataset pasted at the end of the email (you can also have a look at http://dl.dropbox.com/u/5685598/dataedges.csv ). Now, I would like to use the info on columns 1,2 and 4 to predict the value in column 3. However, when I run the script below (obg_mining_script.R), I get

Hello, I'm trying out flexmix and mclust for the first time on some univariate data which is typically best described as lognormal, but can sometimes be gamma distributed as well. I first tried using EM on mclust assuming the data was lognormally distributed and could only get it to work in "E" mode, i.e. the equal variance mode. I could never get it to work on "V" mode [

Hello, I'm trying to use Mclust to fit a Gaussian Mixture Model to a mulitdimensional data set. Because of the specific source of my data, I know that all components have the same variance and that the covariance between dimensions is zero (modelname=VII). Furthermore, I have a reliable estimate of the variance of the components. I want to to use this estimate as a prior in mclust, hoping