#' @name plotDensity
#' @aliases plotDensity,Rscexv-method
#' @rdname plotDensity-methods
#' @docType methods
#' @description This function creates the density plot for the analysis page
#' @param obj the Rscexv object
#' @title description of function analyse.data
#' @export
setGeneric('plotDensity', ## Name
function ( obj ){
standardGeneric('plotDensity')
}
)
setMethod('plotDensity', signature = c ('Rscexv'),
definition = function ( obj ){
usable <- is.na(match( obj@usedObj[['clusters']], which(table(as.factor(obj@usedObj[['clusters']])) < 4 ) )) == T
use <- obj
use@usedObj[['clusters']] <- obj@usedObj[['clusters']][usable]
use@usedObj[['mds.proj']] <- obj@usedObj[['mds.proj']][usable,]
cols <- rainbow(max(as.numeric(obj@usedObj[['clusters']])))
H <- Hkda( use@usedObj[['mds.proj']], use@usedObj[['clusters']], bw='plugin')
kda.fhat <- kda( use@usedObj[['mds.proj']], use@usedObj[['clusters']],Hs=H, compute.cont=TRUE)
try(plot(kda.fhat, size=0.001, colors = cols[as.numeric(names(table(use@usedObj[['clusters']])))] ),silent=F)
try( writeWebGL(
dir = file.path(obj@outpath,'densityWebGL'),
width=470, height=470, prefix='K',
template= system.file(file.path("densityWebGL.html"),
package = "Rscexv")
),
silent=F
)
}
)
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