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Data X:
30811 29877 28303 27605 26074 26112 32350 35804 36574 34486 32158 30965 30505 29629 28169 26972 25752 25027 31530 34705 35223 33471 29239 27954 27727 27314 26576 25775 24669 24480 30834 33218 33783 32546 30661 30070 29722 29075 28136 27315 26125 26057 32601 34214 35232 33565 31931 31779 31626 31230 29574 28312 27186 27397 33387 34996 36251 34284 32349 30991 29916 29067 27978 26719 25544 25703 31703 33733 35121 32714 31111 29977 30375 29323 28193 27222 26904 27952 33512 36215 36856 35341 32624 30885 31108 30267 28645 28474 25805 24756 30437 33177 33069 31342 28912 28373 28599 27884 25727 25393 23147 23164 29286 31008
Data Y:
60804 57907 54355 52536 49081 48877 64599 75314 71209 65210 59829 57656 57428 55315 52790 51050 48519 48354 65333 73990 72755 67424 59214 57427 56681 55437 53600 51641 49478 50124 71313 76208 74387 69520 64735 63413 62553 60109 57764 55667 53103 55301 76795 80928 79213 72759 67802 66940 66396 67539 67776 68014 68251 68488 68725 68962 69200 69437 68212 65444 63181 61198 59010 56388 53723 55340 75352 79817 78289 71892 66448 64167 61250 59580 56417 54662 53349 55385 73546 77683 74995 67282 60742 57283 57314 54704 51578 49962 46252 47234 64708 68753 62970 57474 52494 51831 51663 49637 46679 45557 41630 44417 60070 63157
Sample Range:
(leave blank to include all observations)
From:
To:
xgridsize
ygridsize
xbandwidth
(zero to use default)
ybandwidth
(zero to use default)
correlation
(zero to use actual correlation)
display contours
(Y/N)
Y
Y
N
display data points
(Y/N)
Y
Y
N
colors
terrain.colors
rainbow
heat.colors
topo.colors
cm.colors
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par1 <- as(par1,'numeric') par2 <- as(par2,'numeric') par3 <- as(par3,'numeric') par4 <- as(par4,'numeric') par5 <- as(par5,'numeric') library('GenKern') if (par3==0) par3 <- dpik(x) if (par4==0) par4 <- dpik(y) if (par5==0) par5 <- cor(x,y) if (par1 > 500) par1 <- 500 if (par2 > 500) par2 <- 500 bitmap(file='bidensity.png') op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main=main,xlab=xlab,ylab=ylab) if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par7=='Y') points(x,y) (r<-lm(y ~ x)) abline(r) box() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Bandwidth',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'x axis',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'y axis',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'correlation used in KDE',header=TRUE) a<-table.element(a,par5) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'correlation(x,y)',header=TRUE) a<-table.element(a,cor(x,y)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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