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Data X:
101.6 101.2 111.6 109.4 105.4 119.6 87.7 93.8 115.6 121.3 104.9 103.9 95.2 102 117.4 111.3 109.6 123 88.8 98.8 119.9 122.1 115.5 107.1 99.3 102.5 111.2 109.7 109.8 124.4 85.6 95.4 115.1 116.2 120 109.9 104 104.3 120.2 112.5 122.3 130 94.8 103.9 128.8 137.6 130.8 125.2 119.1 120.4 136.6 129.8 135.8 151 105 117.3 144.6 154.6 137.3 129 125.3
Data Y:
93.5 98.8 106.2 98.3 102.1 117.1 101.5 80.5 105.9 109.5 97.2 114.5 93.5 100.9 121.1 116.5 109.3 118.1 108.3 105.4 116.2 111.2 105.8 122.7 99.5 107.9 124.6 115 110.3 132.7 99.7 96.5 118.7 112.9 130.5 137.9 115 116.8 140.9 120.7 134.2 147.3 112.4 107.1 128.4 137.7 135 151 137.4 132.4 161.3 139.8 146 166.5 143.3 121 152.6 154.4 154.6 158 142.6
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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