search for: flexclust

Sorry, to bother the list one more time: but the following worked at least for 'urca': in NAMESPACE I now included explicitly: import(methods) a fix of the 'urca'-package will be uploaded to CRAN on the weekend. Fritz, will this work for ypur package 'flexclust' too? I have in my DESCRIPTION imports: methods and in flexclust it is in depends: methods. However, both packages have not import(methods) in their NAMESPACE. Anyway, I wonder why 'import(methods)' is explicitly needed in NAMESPACE? Would a smart and bright soul be so kind and enlighte...

Hi - Writing to see if someone can suggest whether a problem warrants a bug report. It concerns the use of stepFlexclust in the flexclust package. The problem concerns the size of clusters returned. Versions: R-2.7.0 on Windows XP; RODBC_1.2-3 code snippet: r8 <- stepFlexclust(df,8,nrep=100,FUN=kcca, family=kccaFamily("kmedians")) summary(r8) ## returns cluster sizes of 51, 115, 218, 73, 118, 140, 311...

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,

Dear R-Devel subscriber, as a follow up to my yesterday's email: I tested an analogous example with the S4-package "flexclust" by executing the following code: library(flexclust) example(cclust) cl After saving the work space and starting a new R process with the restored work space, the same behaviour (i.e., the methods pertinent to "flexclust" are not used, even after executing library(flexclust)). Yes...

Hi 1. How do I get the outliers using qtclust. Right now it gives me the centroids and sizes of the clusters with size>2 2. How do i get th exact radius of each cluster 3. What is the "cluster" attribute of the qtclust output (as seen through the attributes function) Regards Midhat [[alternative HTML version deleted]]

R-devel, I'm interested in looking at some examples of existing R packages that rely heavily on S4 classes to get a feel for varying styles and package organization techniques. Could you recommend any packages that might serve as a good starting point? Thanks in advance, Jeff

R-devel, I'm interested in looking at some examples of existing R packages that rely heavily on S4 classes to get a feel for varying styles and package organization techniques. Could you recommend any packages that might serve as a good starting point? Thanks in advance, Jeff

...merative 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 "predict" in cclust, kcca, and flexclust- but these algorithms do not permit factor data or use a Gower dissimilarity matrix, so are unusable to me. Any suggestions? Thanks in advance, Scott Scott Bearer, Ph.D. Forest Ecologist The Nature Conservancy in Pennsylvania Community Arts Center 220 West Fourth Street, 3rd Floor Williamspor...

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

...71', 'effects',   'ENmisc', 'epiR', 'eRm', 'evaluate', 'evd', 'FactoMineR', 'fArma', 'fAssets', 'fBasics', 'fdrtool',   'fExoticOptions', 'fExtremes', 'fGarch', 'fields', 'flexclust', 'fMultivar', 'fNonlinear', 'fOptions',   'forecast', 'foreign', 'fpc', 'fracdiff', 'fRegression', 'FrF2', 'FrF2.catlg128', 'fTrading',   'fUnitRoots', 'gamlss', 'gamlss.data', '...

...tached table) are associated with the tree species (nested?)(column Treespecies in attached table) and are not independent attributes, but are directly associated with the species listed in that row. My question is, what is the best way to conduct a clustering (I have also tried hclust, cclust and flexclust) or CART model with this sort of nested data? Also, what is the preferrable method for predicting a new dataset once these clusters or CART models have been developed? Any help would be greatly appreciated. Kind regards, Scott --------------------------------------------------------------------...

...ons of R. In all the cases I have seen it comes from grammatically incorrect help files of the form \item{foo}{... \eqn{x}} where the item should end in ',' or '.'. But if you don't want to do that, at least use a space before the brace. I found this in packages distrMod, flexclust, geepack, geoR, psychometric, robustbase and uroot. b) Many packages have help files with 'normal-bracket' at the end of a processed \value section. In all the cases I looked at, this results from using \itemize{} inside \value -- that does not work as \value is implicitly an itemize e...

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

Hello, I would like to know if there is a function in an R library that allows to do cluster analysis under contiguity constraints ? Thank you very much for your answer ! Lise Bellanger -- Lise Bellanger, Universit? de Nantes D?partement de Math?matiques, Laboratoire Jean Leray UMR CNRS 6629 2, Rue de la Houssini?re BP 92208 - F-44322 Nantes Cedex 03 T?l. : (33|0) 2 51 12

I am trying to cluster some binary data using k-means . As the regular "kmeans" available from stats package in R does'nt provide the option to change the distance method. I was wondering there is any package available to specify type of distance measure to be used in k means clustering in R. Especially distances like "Jaccard" which is good for binary data.

Hello All, I have data where each feature data point is a vector, and my distance measurement is a weighted dot product between vectors. I would like to use R to perform a cluster analysis on this data. Does one of the R cluster analysis routines provide for a user provided distance function? Dan Stanger Eaton Vance Management 255 State Street Boston, MA 02109 617 598 8261

Hi the devel list, I am using K means with a non standard distance. As far as I see, the function kmeans is able to deal with 4 differents algorithm, but not with a user define distance. In addition, kmeans is not able to deal with missing value whereas there is several solution that k-means can use to deal with them ; one is using a distance that takes the missing value in account, like a

I'm in the process of converting some S3 methods to S4 methods. I have this function : setGeneric("enrichmentCalc", function(rs, organism, seqLen, ...){standardGeneric("enrichmentCalc")}) setMethod("enrichmentCalc", c("GenomeDataList", "BSgenome"), function(rs, organism, seqLen, ...) { ... ... ... })

...quot;,"far","faraway","fastICA","fBasics","fCalendar","fda","fdim","femmeR","fExtremes","fgac","fields","filehash","financial","FLCore","FLEDA","flexclust","flexmix","fMultivar","fOptions","foreign"," FortranCallsR","fortunes","forward") TEMP <- c(TEMP,"fpc","fPortfolio","fracdiff","frailtypack","fSeries","ftnonpar&qu...

...?coda?, ?gee?, ?systemfit?, ?anchors?, ?survey?, ?mlmRev?, ?MEMSS?, ?numDeriv?, ?ergm?, ?latentnet?, ?degreenet?, ?abind?, ?shapes?, ?multcomp?, ?fCalendar?, ?fSeries?, ?fts?, ?its?, ?tis?, ?tseries?, ?xts?, ?lmtest?, ?AER?, ?dynlm?, ?proto?, ?digest?, ?gpclib?, ?randomSurvivalForest?, ?vcd?, ?flexclust?, ?isa2?, ?leaps?, ?proxy?, ?gclus?, ?mvtnorm?, ?mlbench?, ?SparseM?, ?xtable?, ?RUnit?, ?timeSeries?, ?akima?, ?mclust?, ?trimcluster?, ?prabclus?, ?caTools?, ?gWidgets?, ?chron?, ?acepack?, ?TeachingDemos?, ?Design?, ?subselect?, ?latticeExtra?, ?gWidgetstcltk?, ?hexbin?, ?deldir?, ?tripack?,...