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Author*The author of this computation has been verified*
R Software Modulerwasp_bagplot.wasp
Title produced by softwareBagplot
Date of computationWed, 11 Nov 2009 06:33:10 -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/11/t1257946428b2zzgpdjl4h6zrk.htm/, Retrieved Fri, 19 Apr 2024 18:58:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55583, Retrieved Fri, 19 Apr 2024 18:58:04 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bagplot] [] [2009-11-11 13:33:10] [c4328af89eba9af53ee195d6fed304d9] [Current]
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Dataseries X:
-20,286
-19,188
-12,489
12,524
-17,320
-18,183
-26,199
-7,417
-6,292
-6,022
-1,695
-0,368
-28,388
-18,524
-12,536
-11,631
-12,291
-8,682
-14,691
-17,360
-21,873
-14,531
-8,445
-1,836
10,500
17,897
18,312
44,853
82,821
57,647
44,737
44,705
64,243
39,752
46,444
67,940
51,209
57,739
74,377
56,231
48,788
42,781
28,965
41,528
27,437
47,397
54,387
56,079
75,792
127,288
184,410
127,691
116,945
118,555
149,008
150,618
80,590
77,625
70,009
79,853
Dataseries Y:
-3,309
-7,848
-7,623
-0,690
-9,257
-7,994
-8,821
-9,128
-5,279
-2,897
-0,449
4,715
-1,789
-3,053
-0,316
-1,543
-1,068
-4,514
-0,368
-1,128
0,954
7,215
5,900
15,042
22,324
31,118
30,150
35,339
53,021
44,876
44,384
47,714
43,508
38,197
40,919
48,959
46,581
51,247
54,084
50,990
53,913
51,607
49,107
52,365
53,633
69,907
81,149
80,530
95,690
113,137
131,453
107,299
98,210
106,509
119,869
113,953
92,043
107,453
73,727
86,374




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55583&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]3 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=55583&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55583&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 time3 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()