Ws6.5 Bag Plot | ||||||||||||||||||||||||||
| *The author of this computation has been verified* | ||||||||||||||||||||||||||
| R Software Module: /rwasp_bagplot.wasp (opens new window with default values) | ||||||||||||||||||||||||||
| Title produced by software: Bagplot | ||||||||||||||||||||||||||
| Date of computation: Wed, 11 Nov 2009 07:28:36 -0700 | ||||||||||||||||||||||||||
| Cite this page as follows: | ||||||||||||||||||||||||||
| Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Nov/11/t1257949775ri2667k0wb3x2sh.htm/, Retrieved Wed, 11 Nov 2009 15:29:35 +0100 | ||||||||||||||||||||||||||
| BibTeX entries for LaTeX users: | ||||||||||||||||||||||||||
@Manual{KEY,
author = {{YOUR NAME}},
publisher = {Office for Research Development and Education},
title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Nov/11/t1257949775ri2667k0wb3x2sh.htm/},
year = {2009},
}
@Manual{R,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Development Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2009},
note = {{ISBN} 3-900051-07-0},
url = {http://www.R-project.org},
}
| ||||||||||||||||||||||||||
| Original text written by user: | ||||||||||||||||||||||||||
| IsPrivate? | ||||||||||||||||||||||||||
| No (this computation is public) | ||||||||||||||||||||||||||
| User-defined keywords: | ||||||||||||||||||||||||||
| ShwWs6.5 | ||||||||||||||||||||||||||
| Dataseries X: | ||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | ||||||||||||||||||||||||||
| 105,2 105,2 105,6 105,6 106,2 106,3 106,4 106,9 107,2 107,3 107,3 107,4 107,55 107,87 108,37 108,38 107,92 108,03 108,14 108,3 108,64 108,66 109,04 109,03 109,03 109,54 109,75 109,83 109,65 109,82 109,95 110,12 110,15 110,2 109,99 110,14 110,14 110,81 110,97 110,99 109,73 109,81 110,02 110,18 110,21 110,25 110,36 110,51 110,64 110,95 111,18 111,19 111,69 111,7 111,83 111,77 111,73 112,01 111,86 112,04 | ||||||||||||||||||||||||||
| Dataseries Y: | ||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | ||||||||||||||||||||||||||
| 151,7 121,3 133,0 119,6 122,2 117,4 106,7 87,5 81,0 110,3 87,0 55,7 146,0 137,5 138,5 135,6 107,3 99,0 91,4 68,4 82,6 98,4 71,3 47,6 130,8 113,6 125,7 113,6 97,1 104,4 91,8 75,1 89,2 110,2 78,4 68,4 122,8 129,7 159,1 139,0 102,2 113,6 81,5 77,4 87,6 101,2 87,2 64,9 133,1 118,0 135,9 125,7 108,0 128,3 84,7 86,4 92,2 95,8 92,3 54,3 | ||||||||||||||||||||||||||
| Output produced by software: | ||||||||||||||||||||||||||
| Charts produced by software: |
| Parameters (Session): | par1 = 3 ; par2 = TRUE ; par3 = TRUE ; | | Parameters (R input): | par1 = 3 ; par2 = TRUE ; par3 = TRUE ; | | R code (references can be found in the software module): | par1 <- as.numeric(par1) #factor
| if (par2 == 'TRUE') par2 <- TRUE else par2 <- FALSE if (par3 == 'TRUE') par3 <- TRUE else par3 <- FALSE library(rpart) compute.bagplot<-function(x,y, factor=3, # expanding factor for bag to get the loop approx.limit=300, # limit dkmethod=2, # in 1:2; there are two methods for approximating the bag precision=1, # controls precisionn of computation verbose=FALSE,debug.plots='no' # tools for debugging ){ win<-function(dx,dy){ atan2(y=dy,x=dx) } out.of.polygon<-function(xy,pg){ if(nrow(pg)==1) return(pg) pgcenter<-apply(pg,2,mean) pg<-cbind(pg[,1]-pgcenter[1],pg[,2]-pgcenter[2]) xy<-cbind(xy[,1]-pgcenter[1],xy[,2]-pgcenter[2]) extr<-rep(FALSE,nrow(xy)) for(i in seq(nrow(xy))){ alpha<-sort((win(xy[i,1]-pg[,1],xy[i,2]-pg[,2]))%%(2*pi)) extr[i]<-pi<max(diff(alpha)) | pi<(alpha[1]+2*pi-alpha[length(alpha)]) } extr } cut.z.pg<-function(zx,zy,p1x,p1y,p2x,p2y){ a2<-(p2y-p1y)/(p2x-p1x); a1<-zy/zx sx<-(p1y-a2*p1x)/(a1-a2); sy<-a1*sx sxy<-cbind(sx,sy) h<-any(is.nan(sxy))||any(is.na(sxy))||any(Inf==abs(sxy)) if(h){ if(!exists('verbose')) verbose<-FALSE if(verbose) cat('special') h<-0==(a1-a2) & sign(zx)==sign(p1x) sx<-ifelse(h,p1x,sx); sy<-ifelse(h,p1y,sy) h<-0==(a1-a2) & sign(zx)!=sign(p1x) sx<-ifelse(h,p2x,sx); sy<-ifelse(h,p2y,sy) h<-p1x==p2x & zx!=p1x & p1x!=0 sx<-ifelse(h,p1x,sx); sy<-ifelse(h,zy*p1x/zx,sy) h<-p1x==p2x & zx!=p1x & p1x==0 sx<-ifelse(h,p1x,sx); sy<-ifelse(h,0,sy) h<-p1x==p2x & zx==p1x & p1x==0 & sign(zy)==sign(p1y) sx<-ifelse(h,p1x,sx); sy<-ifelse(h,p1y,sy) h<-p1x==p2x & zx==p1x & p1x==0 & sign(zy)!=sign(p1y) sx<-ifelse(h,p1x,sx); sy<-ifelse(h,p2y,sy) h<-zx==p1x & zy==p1y; sx<-ifelse(h,p1x,sx); sy<-ifelse(h,p1y,sy) h<-zx==p2x & zy==p2y; sx<-ifelse(h,p2x,sx); sy<-ifelse(h,p2y,sy) h<-zx==0 & zy==0; sx<-ifelse(h,0,sx); sy<-ifelse(h,0,sy) sxy<-cbind(sx,sy) } # end of special cases if(!exists('debug.plots')) debug.plots<-'no' if(debug.plots=='all'){ segments(sxy[,1],sxy[,2],zx,zy,col='red') segments(0,0,sxy[,1],sxy[,2],type='l',col='green',lty=2) points(sxy,col='red') } return(sxy) } find.cut.z.pg<-function(z,pg,center=c(0,0),debug.plots='no'){ if(!is.matrix(z)) z<-rbind(z) if(1==nrow(pg)) return(matrix(center,nrow(z),2,TRUE)) n.pg<-nrow(pg); n.z<-nrow(z) z<-cbind(z[,1]-center[1],z[,2]-center[2]) pgo<-pg; pg<-cbind(pg[,1]-center[1],pg[,2]-center[2]) if(!exists('debug.plots')) debug.plots<-'no' if(debug.plots=='all'){plot(rbind(z,pg,0),bty='n'); points(z,pch='p') lines(c(pg[,1],pg[1,1]),c(pg[,2],pg[1,2]))} apg<-win(pg[,1],pg[,2]) apg[is.nan(apg)]<-0; a<-order(apg); apg<-apg[a]; pg<-pg[a,] az<-win(z[,1],z[,2]) segm.no<-apply((outer(apg,az,'<')),2,sum) segm.no<-ifelse(segm.no==0,n.pg,segm.no) next.no<-1+(segm.no %% length(apg)) cuts<-cut.z.pg(z[,1],z[,2],pg[segm.no,1],pg[segm.no,2], pg[next.no,1],pg[next.no,2]) cuts<-cbind(cuts[,1]+center[1],cuts[,2]+center[2]) return(cuts) } hdepth.of.points<-function(tp,n){ n.tp<-nrow(tp) tphdepth<-rep(0,n.tp); dpi<-2*pi-0.000001 minusplus<-c(rep(-1,n),rep(1,n)) for(j in 1:n.tp) { dx<-tp[j,1]-xy[,1]; dy<-tp[j,2]-xy[,2] a<-win(dx,dy)+pi; h<-a<10;a<-a[h]; ident<-sum(!h) init<-sum(a < pi); a.shift<-(a+pi) %% dpi h<-cumsum(minusplus[order(c(a,a.shift))]) tphdepth[j]<-init+min(h)+1 } tphdepth } expand.hull<-function(pg,k){ resolution<-floor(20*precision) pg0<-xy[hdepth==1,] pg0<-pg0[chull(pg0[,1],pg0[,2]),] end.points<-find.cut.z.pg(pg,pg0,center=center,debug.plots=debug.plots) lam<-((0:resolution)^1)/resolution^1 pg.new<-pg for(i in 1:nrow(pg)){ tp<-cbind(pg[i,1]+lam*(end.points[i,1]-pg[i,1]), pg[i,2]+lam*(end.points[i,2]-pg[i,2])) hd.tp<-hdepth.of.points(tp,nrow(xy)) ind<-max(sum(hd.tp>=k),1) if(ind<length(hd.tp)){ # hd.tp[ind]>k && tp<-cbind(tp[ind,1]+lam*(tp[ind+1,1]-tp[ind,1]), tp[ind,2]+lam*(tp[ind+1,2]-tp[ind,2])) hd.tp<-hdepth.of.points(tp,nrow(xy)) ind<-max(sum(hd.tp>=k),1) } pg.new[i,]<-tp[ind,] } pg.new<-pg.new[chull(pg.new[,1],pg.new[,2]),] pg.add<-0.5*(pg.new+rbind(pg.new[-1,],pg.new[1,])) end.points<-find.cut.z.pg(pg,pg0,center=center) for(i in 1:nrow(pg.add)){ tp<-cbind(pg.add[i,1]+lam*(end.points[i,1]-pg.add[i,1]), pg.add[i,2]+lam*(end.points[i,2]-pg.add[i,2])) hd.tp<-hdepth.of.points(tp,nrow(xy)) ind<-max(sum(hd.tp>=k),1) if(ind<length(hd.tp)){ # hd.tp[ind]>k && tp<-cbind(tp[ind,1]+lam*(tp[ind+1,1]-tp[ind,1]), tp[ind,2]+lam*(tp[ind+1,2]-tp[ind,2])) hd.tp<-hdepth.of.points(tp,nrow(xy)) ind<-max(sum(hd.tp>=k),1) } pg.add[i,]<-tp[ind,] } pg.new<-rbind(pg.new,pg.add) pg.new<-pg.new[chull(pg.new[,1],pg.new[,2]),] } cut.p.sl.p.sl<-function(xy1,m1,xy2,m2){ sx<-(xy2[2]-m2*xy2[1]-xy1[2]+m1*xy1[1])/(m1-m2) sy<-xy1[2]-m1*xy1[1]+m1*sx if(!is.nan(sy)) return( c(sx,sy) ) if(abs(m1)==Inf) return( c(xy1[1],xy2[2]+m2*(xy1[1]-xy2[1])) ) if(abs(m2)==Inf) return( c(xy2[1],xy1[2]+m1*(xy2[1]-xy1[1])) ) } pos.to.pg<-function(z,pg,reverse=FALSE){ if(reverse){ int.no<-apply(outer(pg[,1],z[,1],'>='),2,sum) zy.on.pg<-pg[int.no,2]+pg[int.no,3]*(z[,1]-pg[int.no,1]) }else{ int.no<-apply(outer(pg[,1],z[,1],'<='),2,sum) zy.on.pg<-pg[int.no,2]+pg[int.no,3]*(z[,1]-pg[int.no,1]) } ifelse(z[,2]<zy.on.pg, 'lower','higher') } xydata<-if(missing(y)) x else cbind(x,y) if(is.data.frame(xydata)) xydata<-as.matrix(xydata) very.large.data.set<-nrow(xydata)>approx.limit if(!exists('.Random.seed')) set.seed(13) save.seed<-.Random.seed if(very.large.data.set){ ind<-sample(seq(nrow(xydata)),size=approx.limit) xy<-xydata[ind,] } else xy<-xydata n<-nrow(xy) points.in.bag<-floor(n/2) assign('.Random.seed',save.seed,env=.GlobalEnv) if(verbose) cat('end of initialization') prdata<-prcomp(xydata) is.one.dim<-(min(prdata[[1]])/max(prdata[[1]]))<0.0001 if(is.one.dim){ if(verbose) cat('data set one dimensional') center<-colMeans(xydata) res<-list(xy=xy,xydata=xydata,prdata=prdata,is.one.dim=is.one.dim,center=center) class(res)<-'bagplot' return(res) } if(verbose) cat('data not linear') dx<-(outer(xy[,1],xy[,1],'-')) dy<-(outer(xy[,2],xy[,2],'-')) alpha<-atan2(y=dy,x=dx); diag(alpha)<-1200 for(j in 1:n) alpha[,j]<-sort(alpha[,j]) alpha<-alpha[-n,] ; m<-n-1 if(debug.plots=='all'){ plot(xy,bty='n'); xdelta<-abs(diff(range(xy[,1]))); dx<-xdelta*.3 for(j in 1:n) { p<-xy[j,]; dy<-dx*tan(alpha[,j]) segments(p[1]-dx,p[2]-dy,p[1]+dx,p[2]+dy,col=j) text(p[1]-xdelta*.02,p[2],j,col=j) } } if(verbose) print('end of computation of angles') hdepth<-rep(0,n); dpi<-2*pi-0.000001 minusplus<-c(rep(-1,m),rep(1,m)) for(j in 1:n) { a<-alpha[,j]+pi; h<-a<10; a<-a[h]; init<-sum(a < pi) # hallo a.shift<-(a+pi) %% dpi h<-cumsum(minusplus[order(c(a,a.shift))]) hdepth[j]<-init+min(h)+1 # or do we have to count identical points?: } if(verbose){print('end of computation of hdepth:'); print(hdepth)} if(debug.plots=='all'){ plot(xy,bty='n') xdelta<-abs(diff(range(xy[,1]))); dx<-xdelta*.1 for(j in 1:n) { a<-alpha[,j]+pi; a<-a[a<10]; init<-sum(a < pi) a.shift<-(a+pi) %% dpi h<-cumsum(minusplus[ao<-(order(c(a,a.shift)))]) no<-which((init+min(h)) == (init+h))[1] p<-xy[j,]; dy<-dx*tan(alpha[,j]) segments(p[1]-dx,p[2]-dy,p[1]+dx,p[2]+dy,col=j,lty=3) dy<-dx*tan(c(sort(a),sort(a))[no]) segments(p[1]-5*dx,p[2]-5*dy,p[1]+5*dx,p[2]+5*dy,col='black') text(p[1]-xdelta*.02,p[2],hdepth[j],col=1,cex=2.5) } } hd.table<-table(sort(hdepth)) d.k<-cbind(dk=rev(cumsum(rev(hd.table))), k =as.numeric(names(hd.table))) k.1<-sum(points.in.bag<d.k[,1]) if(nrow(d.k)>1){ k<-d.k[k.1+1,2] } else { k<-d.k[k.1,2] } if(verbose){cat('counts of members of dk:'); print(hd.table)} if(verbose){cat('end of computation of k, k=',k)} center<-apply(xy[which(hdepth==max(hdepth)),,drop=FALSE],2,mean) hull.center<-NULL if(10<nrow(xy)&&length(hd.table)>2){ n.p<-floor(c(32,16,8)[1+(n>50)+(n>200)]*precision) cands<-xy[rev(order(hdepth))[1:6],] cands<-cands[chull(cands[,1],cands[,2]),]; n.c<-nrow(cands) xyextr<-rbind(apply(cands,2,min),apply(cands,2,max)) h1<-seq(xyextr[1,1],xyextr[2,1],length=n.p) h2<-seq(xyextr[1,2],xyextr[2,2],length=n.p) tp<-cbind(matrix(h1,n.p,n.p)[1:n.p^2], matrix(h2,n.p,n.p,TRUE)[1:n.p^2]) tphdepth<-hdepth.of.points(tp,n) hull.center<-tp[which(tphdepth>=(max(tphdepth))),,drop=FALSE] center<-apply(hull.center,2,mean) cands<-hull.center[chull(hull.center[,1],hull.center[,2]),,drop=F] xyextr<-rbind(apply(cands,2,min),apply(cands,2,max)) xydel<-(xyextr[2,]-xyextr[1,])/n.p xyextr<-rbind(xyextr[1,]-xydel,xyextr[2,]+xydel) h1<-seq(xyextr[1,1],xyextr[2,1],length=n.p) h2<-seq(xyextr[1,2],xyextr[2,2],length=n.p) tp<-cbind(matrix(h1,n.p,n.p)[1:n.p^2], matrix(h2,n.p,n.p,TRUE)[1:n.p^2]) tphdepth<-hdepth.of.points(tp,n) hull.center<-tp[which(tphdepth>=max(tphdepth)),,drop=FALSE] center<-apply(hull.center,2,mean) hull.center<-hull.center[chull(hull.center[,1],hull.center[,2]),] if(verbose){cat('hull.center',hull.center); print(table(tphdepth)) } } if(verbose) cat('center depth:',hdepth.of.points(rbind(center),n)) if(verbose){print('end of computation of center'); print(center)} if(dkmethod==1){ xyi<-xy[hdepth>=k,,drop=FALSE] pdk<-xyi[chull(xyi[,1],xyi[,2]),,drop=FALSE] xyo<-xy[hdepth>=(k-1),,drop=FALSE] pdk.1<-xyo[chull(xyo[,1],xyo[,2]),,drop=FALSE] if(verbose)cat('hull computed:') if(debug.plots=='all'){ plot(xy,bty='n') h<-rbind(pdk,pdk[1,]); lines(h,col='red',lty=2) h<-rbind(pdk.1,pdk.1[1,]);lines(h,col='blue',lty=3) points(center[1],center[2],pch=8,col='red') } exp.dk<-expand.hull(pdk,k) exp.dk.1<-expand.hull(exp.dk,k-1) # pdk.1,k-1,20) }else{ num<-floor(c(417,351,171,85,67,43)[sum(n>c(1,50,100,150,200,250))]*precision) num.h<-floor(num/2); angles<-seq(0,pi,length=num.h) ang<-tan(pi/2-angles) xym<-apply(xy,2,mean); xysd<-apply(xy,2,sd) xyxy<-cbind((xy[,1]-xym[1])/xysd[1],(xy[,2]-xym[2])/xysd[2]) kkk<-k ia<-1; a<-angles[ia]; xyt<-xyxy%*%c(cos(a),-sin(a)); xyto<-order(xyt) ind.k <-xyto[kkk]; cutp<-c(xyxy[ind.k,1],-10) dxy<-diff(range(xyxy)) pg<-rbind(c(cutp[1],-dxy,Inf),c(cutp[1],dxy,NA)) ind.kk<-xyto[n+1-kkk]; cutpl<-c(xyxy[ind.kk,1],10) pgl<-rbind(c(cutpl[1],dxy,Inf),c(cutpl[1],-dxy,NA)) if(debug.plots=='all'){ plot(xyxy,type='p',bty='n') } for(ia in seq(angles)[-1]){ a<-angles[ia]; angtan<-ang[ia]; xyt<-xyxy%*%c(cos(a),-sin(a)); xyto<-order(xyt) ind.k <-xyto[kkk]; ind.kk<-xyto[n+1-kkk]; pnew<-xyxy[ind.k,]; pnewl<-xyxy[ind.kk,] if(debug.plots=='all') points(pnew[1],pnew[2],col='red') if(abs(angtan)>1e10){ ### cat('y=c case') pg.no<-sum(pg[,1]<pnew[1]) cutp<-c(pnew[1],pg[pg.no,2]+pg[pg.no,3]*(pnew[1]-pg[pg.no,1])) pg.nol<-sum(pgl[,1]>=pnewl[1]) cutpl<-c(pnewl[1],pgl[pg.nol,2]+pgl[pg.nol,3]*(pnewl[1]-pgl[pg.nol,1])) }else{ ### cat('normal case') pg.inter<-pg[,2]-angtan*pg[,1]; pnew.inter<-pnew[2]-angtan*pnew[1] pg.no<-sum(pg.inter<pnew.inter) cutp<-cut.p.sl.p.sl(pnew,ang[ia],pg[pg.no,1:2],pg[pg.no,3]) pg.interl<-pgl[,2]-angtan*pgl[,1]; pnew.interl<-pnewl[2]-angtan*pnewl[1] pg.nol<-sum(pg.interl>pnew.interl) cutpl<-cut.p.sl.p.sl(pnewl,angtan,pgl[pg.nol,1:2],pgl[pg.nol,3]) } pg<-rbind(pg[1:pg.no,],c(cutp,angtan),c(cutp[1]+dxy, cutp[2]+angtan*dxy,NA)) pgl<-rbind(pgl[1:pg.nol,],c(cutpl,angtan),c(cutpl[1]-dxy, cutpl[2]-angtan*dxy,NA)) if(debug.plots=='all'){ points(pnew[1],pnew[2],col='red') hx<-xyxy[ind.k,c(1,1)]; hy<-xyxy[ind.k,c(2,2)] segments(hx,hy,c(10,-10),hy+ang[ia]*(c(10,-10)-hx),lty=2) points(cutpl[1],cutpl[2],col='red') hx<-xyxy[ind.kk,c(1,1)]; hy<-xyxy[ind.kk,c(2,2)] segments(hx,hy,c(10,-10),hy+ang[ia]*(c(10,-10)-hx),lty=2) } } pg<-pg[-nrow(pg),][-1,,drop=F]; pgl<-pgl[-nrow(pgl),][-1,,drop=FALSE] indl<-pos.to.pg(pgl,pg); indu<-pos.to.pg(pg,pgl,TRUE) npg<-nrow(pg); npgl<-nrow(pgl) rnuml<-rnumu<-lnuml<-lnumu<-0; sl<-pg[1,1:2]; sr<-pgl[1,1:2] if(indl[1]=='higher'&indu[npg]=='lower'){ rnuml<-which(indl=='lower')[1]-1; xyl<-pgl[rnuml,] # rnumu<-which(rev(indu=='higher'))[1]; xyu<-pg[npg+1-rnumu,] # sr<-cut.p.sl.p.sl(xyl[1:2],xyl[3],xyu[1:2],xyu[3]) } if(indl[npgl]=='higher'&indu[1]=='lower'){ lnuml<-which(rev(indl=='lower'))[1]; xyl<-pgl[npgl+1-lnuml,] # lnumu<-which(indu=='higher')[1]-1; xyu<-pg[lnumu,] #? sl<-cut.p.sl.p.sl(xyl[1:2],xyl[3],xyu[1:2],xyu[3]) } pgl<-pgl[(rnuml+1):(npgl-lnuml),1:2,drop=FALSE] pg <-pg [(lnumu+1):(npg -rnumu),1:2,drop=FALSE] pg<-rbind(pg,sr,pgl,sl) pg<-pg[chull(pg[,1],pg[,2]),] if(debug.plots=='all') lines(rbind(pg,pg[1,]),col='red') exp.dk<-cbind(pg[,1]*xysd[1]+xym[1],pg[,2]*xysd[2]+xym[2]) if(kkk>1) kkk<-kkk-1 ia<-1; a<-angles[ia]; xyt<-xyxy%*%c(cos(a),-sin(a)); xyto<-order(xyt) ind.k <-xyto[kkk]; cutp<-c(xyxy[ind.k,1],-10) dxy<-diff(range(xyxy)) pg<-rbind(c(cutp[1],-dxy,Inf),c(cutp[1],dxy,NA)) ind.kk<-xyto[n+1-kkk]; cutpl<-c(xyxy[ind.kk,1],10) pgl<-rbind(c(cutpl[1],dxy,Inf),c(cutpl[1],-dxy,NA)) if(debug.plots=='all'){ plot(xyxy,type='p',bty='n') } for(ia in seq(angles)[-1]){ a<-angles[ia]; angtan<-ang[ia]; xyt<-xyxy%*%c(cos(a),-sin(a)); xyto<-order(xyt) ind.k <-xyto[kkk]; ind.kk<-xyto[n+1-kkk]; pnew<-xyxy[ind.k,]; pnewl<-xyxy[ind.kk,] if(debug.plots=='all') points(pnew[1],pnew[2],col='red') if(abs(angtan)>1e10){ ### cat('y=c case') pg.no<-sum(pg[,1]<pnew[1]) cutp<-c(pnew[1],pg[pg.no,2]+pg[pg.no,3]*(pnew[1]-pg[pg.no,1])) pg.nol<-sum(pgl[,1]>=pnewl[1]) cutpl<-c(pnewl[1],pgl[pg.nol,2]+pgl[pg.nol,3]*(pnewl[1]-pgl[pg.nol,1])) }else{ ### cat('normal case') pg.inter<-pg[,2]-angtan*pg[,1]; pnew.inter<-pnew[2]-angtan*pnew[1] pg.no<-sum(pg.inter<pnew.inter) cutp<-cut.p.sl.p.sl(pnew,ang[ia],pg[pg.no,1:2],pg[pg.no,3]) pg.interl<-pgl[,2]-angtan*pgl[,1]; pnew.interl<-pnewl[2]-angtan*pnewl[1] pg.nol<-sum(pg.interl>pnew.interl) cutpl<-cut.p.sl.p.sl(pnewl,angtan,pgl[pg.nol,1:2],pgl[pg.nol,3]) } pg<-rbind(pg[1:pg.no,],c(cutp,angtan),c(cutp[1]+dxy, cutp[2]+angtan*dxy,NA)) pgl<-rbind(pgl[1:pg.nol,],c(cutpl,angtan),c(cutpl[1]-dxy, cutpl[2]-angtan*dxy,NA)) if(debug.plots=='all'){ points(pnew[1],pnew[2],col='red') hx<-xyxy[ind.k,c(1,1)]; hy<-xyxy[ind.k,c(2,2)] segments(hx,hy,c(10,-10),hy+ang[ia]*(c(10,-10)-hx),lty=2) points(cutpl[1],cutpl[2],col='red') hx<-xyxy[ind.kk,c(1,1)]; hy<-xyxy[ind.kk,c(2,2)] segments(hx,hy,c(10,-10),hy+ang[ia]*(c(10,-10)-hx),lty=2) } } pg<-pg[-nrow(pg),][-1,,drop=F]; pgl<-pgl[-nrow(pgl),][-1,,drop=FALSE] indl<-pos.to.pg(pgl,pg); indu<-pos.to.pg(pg,pgl,TRUE) npg<-nrow(pg); npgl<-nrow(pgl) rnuml<-rnumu<-lnuml<-lnumu<-0; sl<-pg[1,1:2]; sr<-pgl[1,1:2] if(indl[1]=='higher'&indu[npg]=='lower'){ rnuml<-which(indl=='lower')[1]-1; xyl<-pgl[rnuml,] # rnumu<-which(rev(indu=='higher'))[1]; xyu<-pg[npg+1-rnumu,] # sr<-cut.p.sl.p.sl(xyl[1:2],xyl[3],xyu[1:2],xyu[3]) } if(indl[npgl]=='higher'&indu[1]=='lower'){ lnuml<-which(rev(indl=='lower'))[1]; xyl<-pgl[npgl+1-lnuml,] # lnumu<-which(indu=='higher')[1]-1; xyu<-pg[lnumu,] #? sl<-cut.p.sl.p.sl(xyl[1:2],xyl[3],xyu[1:2],xyu[3]) } pgl<-pgl[(rnuml+1):(npgl-lnuml),1:2,drop=FALSE] pg <-pg [(lnumu+1):(npg -rnumu),1:2,drop=FALSE] pg<-rbind(pg,sr,pgl,sl) pg<-pg[chull(pg[,1],pg[,2]),] if(debug.plots=='all') lines(rbind(pg,pg[1,]),col='red') exp.dk.1<-cbind(pg[,1]*xysd[1]+xym[1],pg[,2]*xysd[2]+xym[2]) } lambda<-if(nrow(d.k)==1) 0.5 else (n/2-d.k[k.1+1,1])/(d.k[k.1,1]-d.k[k.1+1,1]) if(verbose) cat('lambda',lambda) cut.on.pdk.1<-find.cut.z.pg(exp.dk, exp.dk.1,center=center) cut.on.pdk <-find.cut.z.pg(exp.dk.1,exp.dk, center=center) h1<-(1-lambda)*exp.dk+lambda*cut.on.pdk.1 h2<-(1-lambda)*cut.on.pdk+lambda*exp.dk.1 h<-rbind(h1,h2); hull.bag<-h[chull(h[,1],h[,2]),] if(verbose)cat('bag completed:') #if(verbose)print(hull.bag) if(debug.plots=='all'){ lines(hull.bag,col='red') } hull.loop<-cbind(hull.bag[,1]-center[1],hull.bag[,2]-center[2]) hull.loop<-factor*hull.loop hull.loop<-cbind(hull.loop[,1]+center[1],hull.loop[,2]+center[2]) if(verbose) cat('loop computed') if(!very.large.data.set){ pxy.bag <-xydata[hdepth>= k ,,drop=FALSE] pkt.cand <-xydata[hdepth==(k-1),,drop=FALSE] pkt.not.bag<-xydata[hdepth< (k-1),,drop=FALSE] if(length(pkt.cand)>0){ outside<-out.of.polygon(pkt.cand,hull.bag) if(sum(!outside)>0) pxy.bag <-rbind(pxy.bag, pkt.cand[!outside,]) if(sum( outside)>0) pkt.not.bag<-rbind(pkt.not.bag, pkt.cand[ outside,]) } }else { extr<-out.of.polygon(xydata,hull.bag) pxy.bag <-xydata[!extr,] pkt.not.bag<-xydata[extr,,drop=FALSE] } if(length(pkt.not.bag)>0){ extr<-out.of.polygon(pkt.not.bag,hull.loop) pxy.outlier<-pkt.not.bag[extr,,drop=FALSE] if(0==length(pxy.outlier)) pxy.outlier<-NULL pxy.outer<-pkt.not.bag[!extr,,drop=FALSE] }else{ pxy.outer<-pxy.outlier<-NULL } if(verbose) cat('points of bag, outer points and outlier identified') hull.loop<-rbind(pxy.outer,hull.bag) hull.loop<-hull.loop[chull(hull.loop[,1],hull.loop[,2]),] if(verbose) cat('end of computation of loop') assign('.Random.seed',save.seed,env=.GlobalEnv) res<-list( center=center, pxy.bag=pxy.bag, pxy.outer=if(length(pxy.outer)>0) pxy.outer else NULL, pxy.outlier=if(length(pxy.outlier)>0) pxy.outlier else NULL, hull.center=hull.center, hull.bag=hull.bag, hull.loop=hull.loop, hdepths=hdepth, is.one.dim=is.one.dim, prdata=prdata, xy=xy,xydata=xydata ) if(verbose) res<-c(res,list(exp.dk=exp.dk,exp.dk.1=exp.dk.1,hdepth=hdepth)) class(res)<-'bagplot' return(res) } plot.bagplot<-function(bagplot.obj, show.outlier=TRUE,# if TRUE outlier are shown show.whiskers=TRUE, # if TRUE whiskers are shown show.looppoints=TRUE, # if TRUE points in loop are shown show.bagpoints=TRUE, # if TRUE points in bag are shown show.loophull=TRUE, # if TRUE loop is shown show.baghull=TRUE, # if TRUE bag is shown add=FALSE, # if TRUE graphical elements are added to actual plot pch=16,cex=.4,..., # to define further parameters of plot verbose=FALSE # tools for debugging ){ win<-function(dx,dy){ atan2(y=dy,x=dx) } cut.z.pg<-function(zx,zy,p1x,p1y,p2x,p2y){ a2<-(p2y-p1y)/(p2x-p1x); a1<-zy/zx sx<-(p1y-a2*p1x)/(a1-a2); sy<-a1*sx sxy<-cbind(sx,sy) h<-any(is.nan(sxy))||any(is.na(sxy))||any(Inf==abs(sxy)) if(h){ if(!exists('verbose')) verbose<-FALSE if(verbose) cat('special') h<-0==(a1-a2) & sign(zx)==sign(p1x) sx<-ifelse(h,p1x,sx); sy<-ifelse(h,p1y,sy) h<-0==(a1-a2) & sign(zx)!=sign(p1x) sx<-ifelse(h,p2x,sx); sy<-ifelse(h,p2y,sy) h<-p1x==p2x & zx!=p1x & p1x!=0 sx<-ifelse(h,p1x,sx); sy<-ifelse(h,zy*p1x/zx,sy) h<-p1x==p2x & zx!=p1x & p1x==0 sx<-ifelse(h,p1x,sx); sy<-ifelse(h,0,sy) h<-p1x==p2x & zx==p1x & p1x==0 & sign(zy)==sign(p1y) sx<-ifelse(h,p1x,sx); sy<-ifelse(h,p1y,sy) h<-p1x==p2x & zx==p1x & p1x==0 & sign(zy)!=sign(p1y) sx<-ifelse(h,p1x,sx); sy<-ifelse(h,p2y,sy) h<-zx==p1x & zy==p1y; sx<-ifelse(h,p1x,sx); sy<-ifelse(h,p1y,sy) h<-zx==p2x & zy==p2y; sx<-ifelse(h,p2x,sx); sy<-ifelse(h,p2y,sy) h<-zx==0 & zy==0; sx<-ifelse(h,0,sx); sy<-ifelse(h,0,sy) sxy<-cbind(sx,sy) } # end of special cases if(!exists('debug.plots')) debug.plots<-'no' if(debug.plots=='all'){ segments(sxy[,1],sxy[,2],zx,zy,col='red') segments(0,0,sxy[,1],sxy[,2],type='l',col='green',lty=2) points(sxy,col='red') } return(sxy) } find.cut.z.pg<-function(z,pg,center=c(0,0),debug.plots='no'){ if(!is.matrix(z)) z<-rbind(z) if(1==nrow(pg)) return(matrix(center,nrow(z),2,TRUE)) n.pg<-nrow(pg); n.z<-nrow(z) z<-cbind(z[,1]-center[1],z[,2]-center[2]) pgo<-pg; pg<-cbind(pg[,1]-center[1],pg[,2]-center[2]) if(!exists('debug.plots')) debug.plots<-'no' if(debug.plots=='all'){plot(rbind(z,pg,0),bty='n'); points(z,pch='p') lines(c(pg[,1],pg[1,1]),c(pg[,2],pg[1,2]))} apg<-win(pg[,1],pg[,2]) apg[is.nan(apg)]<-0; a<-order(apg); apg<-apg[a]; pg<-pg[a,] az<-win(z[,1],z[,2]) segm.no<-apply((outer(apg,az,'<')),2,sum) segm.no<-ifelse(segm.no==0,n.pg,segm.no) next.no<-1+(segm.no %% length(apg)) cuts<-cut.z.pg(z[,1],z[,2],pg[segm.no,1],pg[segm.no,2], pg[next.no,1],pg[next.no,2]) cuts<-cbind(cuts[,1]+center[1],cuts[,2]+center[2]) return(cuts) } for(i in seq(along=bagplot.obj)) eval(parse(text=paste(names(bagplot.obj)[i],'<-bagplot.obj[[',i,']]'))) if(is.one.dim){ if(verbose) cat('data set one dimensional') prdata<-prdata[[2]]; trdata<-xydata%*%prdata; ytr<-mean(trdata[,2]) boxplotres<-boxplot(trdata[,1],plot=FALSE) dy<-0.1*diff(range(stats<-boxplotres$stats)) dy<-0.05*mean(c(diff(range(xydata[,1])), diff(range(xydata[,2])))) segtr<-rbind(cbind(stats[2:4],ytr-dy,stats[2:4],ytr+dy), cbind(stats[c(2,2)],ytr+c(dy,-dy), stats[c(4,4)],ytr+c(dy,-dy)), cbind(stats[c(2,4)],ytr,stats[c(1,5)],ytr)) segm<-cbind(segtr[,1:2]%*%t(prdata), segtr[,3:4]%*%t(prdata)) if(!add) plot(xydata,type='n',bty='n',pch=16,cex=.2,...) extr<-c(min(segm[6,3],segm[7,3]),max(segm[6,3],segm[7,3])) extr<-extr+c(-1,1)*0.000001*diff(extr) xydata<-xydata[xydata[,1]<extr[1] | xydata[,1]>extr[2],,drop=FALSE] if(0<nrow(xydata))points(xydata[,1],xydata[,2],pch=pch,cex=cex) segments(segm[,1],segm[,2],segm[,3],segm[,4],) return('one dimensional boxplot plottet') } if(!add) plot(xydata,type='n',pch=pch,cex=cex,bty='n',...) if(verbose) text(xy[,1],xy[,2],paste(as.character(hdepth)),cex=2) if(show.loophull){ # fill loop h<-rbind(hull.loop,hull.loop[1,]); lines(h[,1],h[,2],lty=1) polygon(hull.loop[,1],hull.loop[,2],col='#aaccff') } if(show.looppoints && length(pxy.outer)>0){ # points in loop points(pxy.outer[,1],pxy.outer[,2],col='#3355ff',pch=pch,cex=cex) } if(show.baghull){ # fill bag h<-rbind(hull.bag,hull.bag[1,]); lines(h[,1],h[,2],lty=1) polygon(hull.bag[,1],hull.bag[,2],col='#7799ff') } if(show.bagpoints && length(pxy.bag)>0){ # points in bag points(pxy.bag[,1],pxy.bag[,2],col='#000088',pch=pch,cex=cex) } if(show.whiskers && length(pxy.outer)>0){ debug.plots<-'not' pkt.cut<-find.cut.z.pg(pxy.outer,hull.bag,center=center) segments(pxy.outer[,1],pxy.outer[,2],pkt.cut[,1],pkt.cut[,2],col='red') } if(show.outlier && length(pxy.outlier)>0){ # points in loop points(pxy.outlier[,1],pxy.outlier[,2],col='red',pch=pch,cex=cex) } if(exists('hull.center')&&length(hull.center)>2){ h<-rbind(hull.center,hull.center[1,]); lines(h[,1],h[,2],lty=1) polygon(hull.center[,1],hull.center[,2],col='orange') } points(center[1],center[2],pch=8,col='red') if(verbose){ h<-rbind(exp.dk,exp.dk[1,]); lines(h,col='blue',lty=2) h<-rbind(exp.dk.1,exp.dk.1[1,]); lines(h,col='black',lty=2) if(exists('tphdepth')) text(tp[,1],tp[,2],as.character(tphdepth),col='green') text(xy[,1],xy[,2],paste(as.character(hdepth)),cex=2) points(center[1],center[2],pch=8,col='red') } 'bagplot plottet' } bagplot<-function(x,y, factor=3, # expanding factor for bag to get the loop approx.limit=300, # limit show.outlier=TRUE,# if TRUE outlier are shown show.whiskers=TRUE, # if TRUE whiskers are shown show.looppoints=TRUE, # if TRUE points in loop are shown show.bagpoints=TRUE, # if TRUE points in bag are shown show.loophull=TRUE, # if TRUE loop is shown show.baghull=TRUE, # if TRUE bag is shown create.plot=TRUE, # if TRUE a plot is created add=FALSE, # if TRUE graphical elements are added to actual plot pch=16,cex=.4,..., # to define further parameters of plot dkmethod=2, # in 1:2; there are two methods for approximating the bag precision=1, # controls precisionn of computation verbose=FALSE,debug.plots='' # tools for debugging ){ bo<-compute.bagplot(x=x,y=y,factor=factor,approx.limit=approx.limit, dkmethod=dkmethod,precision=precision, verbose=verbose,debug.plots=debug.plots) if(create.plot){ plot(bo, show.outlier=show.outlier, show.whiskers=show.whiskers, show.looppoints=show.looppoints, show.bagpoints=show.bagpoints, show.loophull=show.loophull, show.baghull=show.baghull, add=add,pch=pch,cex=cex,..., verbose=verbose ) } } bitmap(file='test1.png') bagplot(x=x, y=y, verbose=F, factor=par1, show.outlier=par2, show.whiskers=par3, show.baghull=T, dkmethod=2, show.loophull=T, precision=1, xlab=xlab, ylab=ylab, main=main) box() dev.off() | Copyright
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