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Data X:
132.7 132.7 132.8 132.4 131.5 131 130.7 130.1 129.1 128 127 126 125 123.7 122.1 120.2 118.5 117.2 116.2 115.1 113.8 112.7 111.8 111.2 110.6 109.7 108.6 107.8 107.5 107.5 107.4 107.2 107.1 107.2 107.5 107.9 108.4 108.8 109 109 109 108.8 108.4 108.1 107.8 107.3 106.6 105.9 105.4 105.4 105.6 105.6 105.6 105.7 105.6 105.4 105.4 105.5 105.7 105.8
Data Y:
151.3 151.2 150.8 149.9 148.9 148 146.8 145.3 144.1 143.1 142 140.8 138.9 136.2 133.4 130.7 128.5 126.9 125.8 124.6 122.7 120.9 119.3 118 117 115.9 115.1 114.7 114.1 113.3 112.7 112.3 112.1 112.1 111.9 111.6 111.3 110.9 110.7 110.8 110.6 110 109.1 108.9 108.9 108.2 107 106 105.2 104.4 103.9 103.4 103 102.6 101.8 100.7 99.9 99.9 100.6 101
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 Input
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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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