search for: iclust

Dear all, I can't get the labels slot in ICLUST to accept a character vector. library(psych) test.data <- Harman74.cor$cov ic.out <- ICLUST(test.data,nclusters =4,labels=letters[1:ncol(test.data)]) ##?Error in !labels : invalid argument type ic.out <- ICLUST(test.data,nclusters =4,labels=1:ncol(test.data)) ## OK Any ideas?

I am looking for simple introduction to cluster analysis using R, that would be understandable to a novice in statistics. Or, could someone perhaps help me understand how to proceed in my analysis? I am very new to both statistics and R, but am trying hard to avoid having to use SPSS as everyone around me... I have dataset on people presenting their opinions on different religious

...aded and can respond to either a set of graphics events or an identify loop but not both) It has been suggested that I look at Graphviz since this has more comprehensive mapping facilities. Is this likely to help? Is there for example a method for converting an R hclust object to an Graphviz ICLUST or some alternative method for describing an hclust in the Graphviz .DOT notation? Or can anybody suggest an alternative approach ?? Regards Mark > > >

Hi, Suppose I have n variables, X1, X2, ..., Xn and want to visualize the pairwise correlations on a 2-dimmensional plot. In particular, I plan to mark down n dots on a piece of paper and dot i represents Xi, in a way such that the highly correlated variables are placed closer; that is, shorter the distance between two dots the higher the correlation are between two corresponding variables. Do

...Functions to perform dimensionality reduction for classification if the covariance matrices of the classes are unequal. * hotspots (1.0.1) Anthony Darrouzet-Nardi http://crantastic.org/packages/hotspots Calculates a hot spot cutoff and associated analyses for statistical populations * iCluster (1.2.0) Ronglai Shen http://crantastic.org/packages/iCluster Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis. * kinfit (1.0) Johannes Ranke http://crantastic.org/packages/kinfit...

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):