similar to: Error message in mclust

Whenever I submit the following command >result <- em("E", m1, mu=c(25, 50), sigmasq=10, pro=c(0.49,0.51)) in MCLUST , I experience a problem with my Windows XP. Has anyone had this type of problem? I receive the general "send report" dialogue box and my program is no longer able to run. Should I change any of my system settings? Let me know if you think of anything

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.

Greetings, I am attempting to build a R package, however the build fails and the following message is ouput: C:\ConstellaGroup\EPA\RAGG\package>R CMD BUILD --binary --force RAGG * checking for file 'RAGG/DESCRIPTION' ... OK * preparing 'RAGG': * checking DESCRIPTION meta-information ... ERROR Error in if (regexpr(dep_regexp, dep) == -1) { : missing value where

we have implemented teh following code for determinging the clustering model of a dataset. bicvals <- EMclust( hdata, 7) sumry1 <- summary(bicvals, hdata,7) # summary object for emclust() print(sumry1) This set of code gives the following output classification table: 1 2 3 4 5 6 7 1 1 1 4 1 1 1 which I think means there is 1 gene in the 1st cluster...1 gene in the 2nd cluster ,

Hello everyone. I have a few MCLUST questions and I was hoping someone could help me out. If you’re an MCLUST user, they will likely be pretty easy to answer. Thanks in advance for any help. Ken What are the pros/cons of starting a finite mixture model at the “m” step versus the “e” step (where “m” is the maximization step and “e” is the expectation step of the EM algorithm)? In

Hi, I got the same problem like http://tolstoy.newcastle.edu.au/R/devel/04/11/1204.html R crashes when I use the em function from the mclust package on univariate data and on a special case on bivariate data (when the matrix is not provided as written in the manual). It seems as if the problem is the format of the data to be analyzed. Operating System: Windows XP (SP2) R version: R-2.0.1 The

Greetings, I am unable to successfully BUILD due to a file that apears to be too long. I know it it due to the length of a particular R program because if I remove a line, even a comment line, from the file it then successfully builds. However, if I add the line back in, the build fails. The file is only 14Kb long. Any help or suggestions are greatly appreciated. Thank you for your time.

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

Greetings, I modified an existing R program (now it is larger than the previous version), and when I attempt to perform a BUILD using the command "R CMD BUILD --binary --force RAGG" the build fails. It outputs a totally bogus message when it fails; not related at all to the true problem. I know the problem is the length of the R program because when I remove some lines of code the

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 [

Hi, All; I tried to use library mclust in 64-bit compiled R 2.0.1 but failed. Installation went smoothly without any warning or error. However, when I tried to use them with the following simple code, it crashed. Library(mclust) Dat <- c(rnorm(20, mean=0, sd=0.2), rnorm(30, mean=1, sd=0.2)) Ind <- Mclust(dat, 1, 5)$classification cbind(Dat, Ind) The error message was:

Hi All, I am using em() function to estimate a poisson-gaussian process from a univariate one dimension time series, but not sure how to do. In the help manual, it specify that in "pro" of the argument "parameter", if the model includes a Poisson term for noise, there should be one more mixing proportion than the number of Gaussian components. But in the example, the parameter

Dear Knowledgeable R Community Members, Please excuse my ignorance -- I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance regarding parameters in 2 functions in the "mclust" package. -------------------- PROBLEM DESCRIPTION -------------------- I have a finite mixture modeling problem -- for example, a 2-component gaussian

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

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

When loading mclust, it shows a license agreement message. This message shows up in my document when I use Sweave. I did the following: <<echo=FALSE,include=FALSE>>= library(mclust) @ Is this a problem with mclust, Sweave or with me? How can it be fixed? Thanks for any suggestions! Titus

Hi, A quick question from a social scientist new to R - how do I get coordProj / plot.Mclust to label the nodes by row names? Using "identify" only gives me the row numbers... Thanks. -- Bobby

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.

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

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