Nothing
plot.nodeHarvest <-
function(x, XTEST=NULL, highlight=NULL, varnames= NULL, yoffset=0.12, labels="all", cexfaclab=1, ...){
Z <- x[["nodes"]]
weight <- sapply(x[["nodes"]],attr,"weight")
if(is.null(varnames)) varnames <- x[["varnames"]]
cexfac <- 10
colgrey <- rgb(0,0,0,0.33)
colline <- rgb(0.3,0.3,0.3,0.4)
colred <- rgb(1,.1,0.1,0.6)
attri <- attributes(Z)
ord <- order(sapply(Z,attr,"n"))
Z <- Z[ord]
weight <- weight[ord]
attributes(Z) <- attri
isgrey <- rep(TRUE,length(Z))
if(!is.null(highlight) ){
if(highlight < 0 ){
highlZ <- which(sapply(Z,attr,"leaf"))
}else{
IsignTEST <- abs(sign(getI(Z,XTEST[highlight,,drop=FALSE])$I))
highlZ <- which( apply(IsignTEST,2,sum)!=0 )
}
if(length(highlZ)>0) isgrey[ highlZ] <- FALSE
}
allmean <- sapply(Z,attr,"mean")
alln <- rank(sapply(Z,attr,"n") + seq(0.1,0,length=length(weight)) ,ties.method="first" )
rang <- range(allmean)
ylim <- c( min(alln)*0.9 , max(alln)*1.1 )
xtmp <- allmean
xlimall <- mean(xtmp) + 1.1 * (1+(cexfaclab-1)/2) * range(xtmp-mean(xtmp))
yvec <- alln
cexx <- (cexfac*sqrt(weight/max(weight)))
plot(xtmp , yvec, cex=cexx, ylim=ylim, type="n", axes=FALSE,xlab="RESPONSE",ylab="SAMPLES",xlim=xlimall)
atvec <- round(seq(1,length(alln),length=6))
axis(2,at=atvec,labels= sapply(Z,attr,"n")[atvec] )
for (k in 1:length(weight)){
anc <- attr(Z[[k]],"ancestors")
if(length(anc)>=1){
choose <- anc[1]
co <- c(xtmp[k] , yvec[k])
coc <- c(xtmp[choose],yvec[choose])
lines( (c(coc[1], co[1])), c(coc[2],co[2]),col=colline,lwd=1)
}
}
points( xtmp , yvec ,cex=cexx,col="white", pch=20)
if(all(isgrey)){
points( xtmp , yvec ,cex=cexx,col=colgrey, pch=20)
}else{
indgrey <- which(isgrey)
indred <- which(!isgrey)
points( xtmp[indgrey] , yvec[indgrey] ,cex=cexx[indgrey],col=colgrey, pch=20)
points( xtmp[indred] , yvec[indred] ,cex=cexx[indred],col=colred, pch=20)
}
axis(1)
if(labels!="none"){
drawlab <- if(labels=="all") 1:length(weight) else which(!isgrey)
for (ky in drawlab){
drawtext(Z,ky,offset= 0.00*abs(diff(xlimall)),varnames=varnames ,yoffset=1*yoffset,cex=0.55 * cexfaclab)
}
}
}
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