similar to: cclust args.

hi, I'm a bit new to R and need a hand importing data. I have a text file of (x,y) pairs like: x,y x,y x,y I can read them in fine with read.table(), but I need to do some cluster analysis on them, so I need it in a format cclust will understand, namely a Matrix. Can anyone help with the code to to convert the data type? Thanks, j. -- ...................... ..... Jason C. Leach ..

Hello, here is my problem, After looking at the mail archives, I found a description of the error I get when I use this package. At first I even tought that they were showing how to solve it. But the thing is that by saying "the programmer forgot drop=FALSE" doesn't show me how I should get rid of the problem I have looked inside the package very quickly and I found three

Dear R users, When I run the following code, R crashes: require(cclust) x <- matrix(c(0,0,0,1.5,1,-1), ncol=2, byrow=TRUE) cclust(x, centers=x[2:3,], dist="manhattan", method="kmeans") While this works: cclust(x, centers=x[2:3,], dist="euclidean", method="kmeans") I'm posting this here because I am not sure if it is a bug. I've been searching

hi, I'm a bit new to R and need a hand importing some data. I have a data set with jut x,y pairs in it: x1,y1 x2,y2 x3,y3 I can read it in fine, but I would like to do some cluster analysis on it. So I'll need to get it the proper data structure. Any ideas? Thanks, j. -- ...................... ..... Jason C. Leach .. Current PGP/GPG Key ID: 43AD2024

I would like to see an example of a data matrix for cclust and how to import it to cclust. In fact, i don't know how to give my imput for cclust program! i test this file 1 0.23 1.52 2 0.52 1.25 3 0.13 1.89 4 0.78 1.11 i do >library(cclust) >x<-scan("test.matrice.phyl") >cclust(x,2,method="kmeans") i have this error message: Error in sample(length(x),

Hi, I'm trying to debug a function I wrote to calculate the cindex for a hierarchical tree. For this it is useful to compare my calculations with those in output from the clustindex function, in the cclust library. There's no way, however, to have the cindex value for a given output of the cclust function, as a NA value is always returned. This happens almost surely because the cindex in

There is a new version of the 'CCLUST' package ,where i removed the extra command for the kmeans algorithm in the .R programm and also the comments about it in the .Rd help page. Now in the cclust library the kmeans algorithm can be applied only by using the cclust function. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

There is a new version of the 'CCLUST' package ,where i removed the extra command for the kmeans algorithm in the .R programm and also the comments about it in the .Rd help page. Now in the cclust library the kmeans algorithm can be applied only by using the cclust function. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I have checked that section already. Sorry, I should have mentioned that. Memory limit increase does not work. Installtion of msvcrt.dll does not work either. Thank you. -----Original Message----- From: ripley at stats.ox.ac.uk [mailto:ripley at stats.ox.ac.uk] Sent: Wednesday, March 05, 2003 2:44 PM To: Igor Oleinik Cc: r-help at stat.math.ethz.ch Subject: Re: [R] problem with cclust[er]

To Whom It May Concern, I am currently trying to use R to perform a "kmeans" clustering of a three dimensional data set. In the directory R-1.5.1/library/cclust/data/ I have created a file that has the following format (only the first few lines are shown for brevity): B X.Vtl X.Vtu 1 -0.529043 1.307031 1.625169 2 -0.752502 1.132813 1.480548 3

hi, Are there any alternative authentication methods for Samba? Other thank the smbpasswd file? I'd like to do PostgreSQL or mySQL. Why? Because I can do Exim/IMAP/POP3 Apache/Zope with SQL, if I could do Samba it would wrap it up into one nice DB for authentication. It does not have to be much, just the ability to get the data from a SQL query rather than a flat file query. Anyone

Hi all, once more about the old subj :-) My data has too much various distribution families and for every particular experiment I need just to decide whether the data is "quite homogeneous" or it has two or more clusters. I've revisited the following libraries: amap, clust, cclust, mclust, multiv, normix, survey. And I didn't find any ready-to-use general

> > It would be nice not only for me. > > I agree totally. If you belong to R-contributors group then thanks a lot in advance! > The problem is that you have to formalize what a cluster is, > and this is not a well defined notion. > It has different meanings in different applications. you are right if one follows the idea of full formalization of the notion it

hi, Does anyone have the VFS recycle module working? I get the following error: [2002/05/14 14:01:45, 0] smbd/vfs.c:vfs_init_custom(120) Error opening /usr/local/samba/lib/vfs/recycle.so: /usr/local/samba/lib/vfs/recycle.so: undefined symbol: DEBUGLEVEL_CLASS Thanks, j. -- ...................... ..... Jason C. Leach .. Current PGP/GPG Key ID: 43AD2024

I have to solve a clustering problem. My first step is to determinate the number of clusters, that's why I 'm using the Calinski index ( [tr(b)/(k-1)]/[tr(w)/(k-1)] ) which i try to maximize to have the best number of clusters. A function is already implemented in R to calculate this index : clustIndex(cl,x, index="calinski") where cl is the result of a clustering method ,

Hi all, I have a dataset with numeric and factor columns of data which I developed a Gower Dissimilarity Matrix for (Daisy) and used Agglomerative Nesting (Agnes) to develop 20 clusters. I would like to use the 20 clusters to determine cluster membership for a new dataset (using predict) but cannot find a way to do this (no way to "predict" in the cluster package). I know I can use

Full_Name: Chris Hane Version: 2.10.1 OS: Windows Submission from: (NULL) (198.203.181.181) When using barchart in the flexcust package, setting mcol=NULL to avoid the lollipops causes an error. Each panel shows the text message "Error using packet n replacement has length zero." where n is the panel number. > data(iris) > cl <- cclust(iris[,-5], k=3) > barplot(cl,

hi, Here's an interesting one... If I view the files on my Samba server, the file size is reported differently depending on if I'm looking from WinXX or Win2k. That is, if I do a 'properties' on a file with Windows ME for instance, I see 'Size' and 'Size on Disk' numbers that seem reasonable. Size on Disk is slightly larger which seems reasonable. But if I look

hi, I'm getting a build up of domains in the NetHood. Every time somone plugs into the network w/ a computer on a different domain (usually a laptop) it get's left behind and does not clear out. We do use a central WINS server, that all other samba PDCs access. Any way to flush it out? j. -- ...................... ..... Jason C. Leach .. Current PGP/GPG Key ID: 43AD2024

Hello, I am calling cclust function in cclust package repeatedly until some ceratain conditions for a cluster are met. Unfortunately, the system crashes on the second call (after debugging). # kmeans res1 is a well defined matrix cl <- cclust(res1, as.numeric(ncntrs), iter.max = 20, verbose = FALSE, dist="manhattan", method="kmeans") RGui has generated errors and will