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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bagplot.wasp
Title produced by softwareBagplot
Date of computationThu, 12 Nov 2009 10:25:25 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/12/t12580467506rqpk1d8qzag7td.htm/, Retrieved Fri, 03 May 2024 23:57:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56273, Retrieved Fri, 03 May 2024 23:57:33 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Box-Cox Linearity Plot] [3/11/2009] [2009-11-02 21:47:57] [b98453cac15ba1066b407e146608df68]
-    D  [Box-Cox Linearity Plot] [WS6.4] [2009-11-12 17:19:04] [626f1d98f4a7f05bcb9f17666b672c60]
- RMP       [Bagplot] [WS6.5] [2009-11-12 17:25:25] [dd4f17965cad1d38de7a1c062d32d75d] [Current]
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Dataseries X:
269285
269829
270911
266844
271244
269907
271296
270157
271322
267179
264101
265518
269419
268714
272482
268351
268175
270674
272764
272599
270333
270846
270491
269160
274027
273784
276663
274525
271344
271115
270798
273911
273985
271917
273338
270601
273547
275363
281229
277793
279913
282500
280041
282166
290304
283519
287816
285226
287595
289741
289148
288301
290155
289648
288225
289351
294735
305333
309030
310215
321935
325734
320846
323023
319753
321753
320757
324479
Dataseries Y:
258596
259056
264193
260325
261890
260683
257941
258151
262434
261577
262188
261092
263571
265031
270388
265458
266218
266386
263486
263620
267755
266554
266981
264133
265980
267183
272113
267261
269117
269034
266609
267261
271406
269529
270282
268663
269847
270998
277068
273529
275307
276488
274455
274507
279528
277673
278102
275131
277162
278799
285502
280672
281342
281132
278286
279120
289131
294453
295733
302233
308859
311054
318130
315823
316517
316907
314969
316107




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56273&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56273&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56273&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk



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]<-pipi<(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(indk &&
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(indk &&
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]}
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.bagif(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(102){
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]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.intercutp<-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]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.intercutp<-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]xydata[,1]>extr[2],,drop=FALSE]
if(0segments(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()