Nothing
##=============================================================================
##' @title Show the CLUSCATA results
##'
##' @usage
##' \method{summary}{cluscata}(object, ngroups=NULL, ...)
##'
##' @description
##' This function shows the cluscata results
##'
##'
##' @param object object of class 'cluscata'.
##'
##' @param ngroups number of groups to consider. Ignored for cluscata_kmeans results. Default: recommended number of clusters
##'
##' @param ... further arguments passed to or from other methods
##'
##'
##' @return the CLUSCATA principal results
##'
##'
##'
##' @return a list with:
##' \itemize{
##' \item group: the clustering partition
##' \item homogeneity: homogeneity index (%) of each cluster and the overall homogeneity index (%) of the partition
##' \item weights: weight associated with each subject in its cluster
##' \item rho: the threshold for the noise cluster
##' \item test_one_cluster: decision and pvalue to know if there is more than one cluster
##' }
##'
##' @keywords CATA
##'
##' @seealso \code{\link{cluscata}} , \code{\link{cluscata_kmeans}}
##'
##' @export
##=============================================================================
summary.cluscata=function(object, ngroups=NULL, ...)
{
res.cluscata=object
if(inherits(res.cluscata, "cluscata")==FALSE)
{
stop("The class of the object must be 'cluscata'")
}
if(is.null(ngroups) | res.cluscata$type=="K")
{
ngroups=res.cluscata$param$ng
}
if(res.cluscata$type=="H+C")
{
if(ngroups>res.cluscata$param$gpmax)
{
stop("ngroups>gpmax")
}
}
if(res.cluscata$type=="H+C")
{
test_one_cluster=res.cluscata$test_one_cluster
res.cluscata=res.cluscata[[ngroups]]
}else{
test_one_cluster="No test"
}
NameBlocks=rownames(res.cluscata$group)
liste_groups=list()
for (i in 1:ngroups)
{
liste_groups[[i]]=NameBlocks[res.cluscata$group==i]
}
names(liste_groups)=paste("Cluster", 1:ngroups)
if (res.cluscata$rho>0)
{
liste_groups[[ngroups+1]]=NameBlocks[res.cluscata$group=="K+1"]
names(liste_groups)[ngroups+1]="Noise cluster (K+1)"
}
res=list(groups=liste_groups, homogeneity=res.cluscata$homogeneity,
weights=res.cluscata$weights, rho=res.cluscata$rho, test_one_cluster=test_one_cluster)
return(res)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.