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Data X:
136.5 146.4 157.7 148.7 154.6 152.1 144.8 142.1 157 159.1 164 151.5 135.9 138.5 161 151.7 142.9 157.4 138.9 141 150.9 149.9 153 144.3 128.1 123.3 155.9 144.1 134.1 153.1 131 129.8 139.9 135.6 126.8 134.4 113.5 107.5 133.8 119 125.9 130.1 114.2 111.6 131.2 124.1 127.1 123.4 100.7 100.3 121.6 110.5 110.3 122.7 102.6 101.8 113.6 107.2 116.8 112.5
Data Y:
154.2 175.8 187.6 169.9 182.3 179.4 171.5 166.6 171.8 164.3 172.6 163 142.2 149.7 168.4 156.5 150.4 170.6 150.1 151.5 159.5 155.2 154.8 156.5 134.2 135.9 156.4 144.2 143.7 164.8 140.2 132.2 162 145 146.3 145.5 124.4 126 146.8 130.8 133.6 145.7 122.8 118.5 149.5 129.9 134.8 133.3 117.2 120.2 136.4 118.5 126.7 137.5 116.3 113.3 136.6 112.9 128.6 126.8
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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