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Data X:
97.7 101.5 119.6 108.1 117.8 125.5 89.2 92.3 104.6 122.8 96.0 94.6 93.3 101.1 114.2 104.7 113.3 118.2 83.6 73.9 99.5 97.7 103.0 106.3 92.2 101.8 122.8 111.8 106.3 121.5 81.9 85.4 110.9 117.3 106.3 105.5 101.3 105.9 126.3 111.9 108.9 127.2 94.2 85.7 116.2 107.2 110.6 112.0 104.5 112.0 132.8 110.8 128.7 136.8 94.9 88.8 123.2 125.3 122.7 125.7 116.3 118.7 142.0 127.9 131.9 152.3 110.8 99.1 135.0 133.2 131.0 133.9 119.9 136.9 148.9 145.1 142.4 159.6 120.7 109.0 142.0
Data Y:
98.5 97.0 103.3 99.6 100.1 102.9 95.9 94.5 107.4 116.0 102.8 99.8 109.6 103.0 111.6 106.3 97.9 108.8 103.9 101.2 122.9 123.9 111.7 120.9 99.6 103.3 119.4 106.5 101.9 124.6 106.5 107.8 127.4 120.1 118.5 127.7 107.7 104.5 118.8 110.3 109.6 119.1 96.5 106.7 126.3 116.2 118.8 115.2 110.0 111.4 129.6 108.1 117.8 122.9 100.6 111.8 127.0 128.6 124.8 118.5 114.7 112.6 128.7 111.0 115.8 126.0 111.1 113.2 120.1 130.6 124.0 119.4 116.7 116.5 119.6 126.5 111.3 123.5 114.2 103.7 129.5
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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