similar to: Clustering and Rand Index - VS-KM

Dear WizaRds, I am trying to compute the (adjusted) Rand Index in order to comprehend the variable selection heuristic (VS-KM) according to Brusco/ Cradit 2001 (Psychometrika 66 No.2 p.249-270, 2001). Unfortunately, I am unable to correctly use cl_ensemble and cl_agreement (package: clue). Here is what I am trying to do: library(clue) ## Let p1..p4 be four partitions of the kind

Dear WizaRds, although this might be a trivial question to the community, I was unable to find anything solving my problem in the help files on CRAN. Please help. Suppose I have 4 variables and want to use all possible combinations: 1,2 1,3 1,4 2,3 2,4 3,4 for a further kmeans partitioning. I tried permutations() of package e1071, but this is not what I need. Thank you for your help and

Dear WizaRds, My goal is to program the VS-KM algorithm by Brusco and Cradit 01 and I have come to a complete stop in my efforts. Maybe anybody is willing to follow my thoughts and offer some help. In a first step, I want to use a single variable for the partitioning process. As the center-matrix I use the objects that belong to the cluster I found with the hierarchial Ward algorithm. Then,

Hi I am working on corpora of automatically recognized utterances, looking for features that predict error in the hypothesis the recognizer is proposing. I am using the glm functions to do logistic regression. I do this type of thing: * logistic.model = glm(formula = similarity ~., family = binomial, data = data) and end up with a model: > summary(logistic.model) Call:

Greetings, I am a bit confused by the results returned by the functions: cohen.kappa {concord} classAgreement {e1071} when using a two-way table. for example, if I have an matrix A, and a similar matrix B (same dimensions), then: matrix A and B can be found: http://casoilresource.lawr.ucdavis.edu/drupal/files/a_40.txt http://casoilresource.lawr.ucdavis.edu/drupal/files/b_40.txt A <-

I was wondering, whether there is a way to have statistical significance test for cluster agreement. I know that I can use classAgreement() function to get Rand index, which will give me some indication whether the clusters agree or not, but it would be interesting to have a formal test. Thanks.

Hi, I've got two vectors with ratings from two coders, like this: x<-c("red", "yellow", "blue", "red") #coder number 1 y<-c("red", "blue", "blue", "red") #coder number 2 I want to find Cohen's Kappa using the wkappa function in the psych package. The only example in the docs is using a matrix, which

Is there a function that calculates the inter-rater agreement index (kappa) in R? Thanks ../Murli [[alternative HTML version deleted]]

Hola a todos, tengo unos datos clasificados, es decir un factor con etiquetas de 1 a 14 y quiero comprobar las coincidencias con un test (también otro factor). Lo que me interesa obtener más que la matriz de confusión o el indice kappa, es otro factor con las coincidencias entre ambos factores (clasificación y test). Es decir 1 si coinciden las etiquetas y 0 si no coinciden, Supongo que para

Basically, the `Detail' section of ?tune says it all: Details: As performance measure, the classification error is used for classification, and the mean squared error for regression. ... Andy > From: Tae-Hoon Chung > > Hi, all; > > Basically, the subject contains the all information I need to know. > In e1071 library, there are functions to tune parameters.

Hi, I searched a lot on the internet but was unable to find the function for calculating the kappa statistics for intra-observer reliabilty. Can anybody help me in the this regards. Thanks, Shreyasee [[alternative HTML version deleted]]

I am trying to do some verification across a large dataset, cuData, that has 23 columns. Column 23 (similarity) is the outcome 0 or 1 and the other columns are the features. I do this: verificationglm.model <- glm(formula = similarity ~ ., family=binomial, data=cuData[1:1000,]) and produce the model: > summary(verificationglm.model) Call: glm(formula = similarity ~ ., family =

Hi. I am wondering if anybody has studied and/or written code in R to calculate the distance between 2 "trees". For example, if one does a hierarchical agglomerative clustering and say, a hierachical divisive clustering (represented as trees) and wishes to compute a metric on them. I am thinking of something like the symmetric difference as mentioned in Margush and McMorris (1982).

Thanks for this informations. Do you know where I can find the icd-snmp package for a redhat 9 distri? I can't find it. Thanks. Message: 6 Date: Fri, 09 Jul 2004 15:45:57 +0200 From: Andrea Fino <af@faino.org> To: asterisk-users@lists.digium.com Subject: Re: [Asterisk-Users] SNMP Monitoring Reply-To: asterisk-users@lists.digium.com Holger Schurig wrote: >>You could try

Hi to all, today I have released the version 0.3 of ast-ax-snmpd. It is some code that adds the snmp subagent functionality to asterisk, using the ucd snmp framework and following the agentX standard. It has tested under debian woody, with specific version of ucd_snmp, so your mileage may vary. I am evaluating to transfer this effort under a more recent net-snmp umbrella, this could permit

Dear list, is anybody aware of R implementations of the overlapping clustering methods by Arabie and Carroll (ADCLUS, MAPCLUS and INDCLUS)? I found around only their Fortran implementation of the MAPCLUS model, which comes practically without any documentation. Alternatively, has anybody used this Fortran program, and is willing to share some knowledge about its use? Thank you, Bruno

Greetings. I've been experimenting with some algorithms for document classification (specifically, a Naive Bayes classifier and a kNN classifier) and I would now like to calculate some inter-rater reliability scores. I have the data in a PostgreSQL database, such that for each document, each measure (there are 9) has three variables: ap_(measure), nb_(measure), and knn_(measure). ap is me

I have a recipient_bcc_maps which contains a bcc map that is updated everyday: rbcc.pcre: if !/backup.*@/ /^([^+_]*).*@([^.]*)/ backup+071.${1}-${2}@adomain.tld endif the 071 portion is changed each day to the current day of the year. Everything works, but I get an error from dovecot on every message: lda(backup at adomain.tld): Error: User initialization failed: Namespace '':

Hi I am doing this sort of thing: POLY: > > obj = best.tune(svm, similarity ~., data = training, kernel = "polynomial") > summary(obj) Call: best.tune(svm, similarity ~ ., data = training, kernel = "polynomial") Parameters: SVM-Type: eps-regression SVM-Kernel: polynomial cost: 1 degree: 3 gamma: 0.04545455 coef.0: 0

A long time, this apeared on the list: > Date: Tue, 23 Jul 2002 08:17:26 -0700 > From: H. Peter Anvin <hpa at zytor.com> > To: Gal Goldschmidt <gal at cs.haifa.ac.il> > Cc: syslinux at zytor.com > Subject: Re: [syslinux] ISC DHCPD Problem and Solution. > > Gal Goldschmidt wrote: > > > > All the station in that group suddenly did not receive the net