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Data X:
106.9 107.1 99.3 99.2 108.3 105.6 99.5 107.4 93.1 88.1 110.7 113.1 99.6 93.6 98.6 99.6 114.3 107.8 101.2 112.5 100.5 93.9 116.2 112.0 106.4 95.7 96.0 95.8 103.0 102.2 98.4 111.4 86.6 91.3 107.9 101.8 104.4 93.4 100.1 98.5 112.9 101.4 107.1 110.8 90.3 95.5 111.4 113.0 107.5 95.9 106.3 105.2 117.2 106.9 108.2 113.0 97.2 100.2 109.7 119.1
Data Y:
101.2 93.1 84.2 85.8 91.8 92.4 80.3 79.7 62.5 57.1 100.8 100.7 86.2 83.2 71.7 77.5 89.8 80.3 78.7 93.8 57.6 60.6 91.0 85.3 77.4 77.3 68.3 69.9 81.7 75.1 69.9 84.0 54.3 60.0 89.9 77.0 85.3 77.6 69.2 75.5 85.7 72.2 79.9 85.3 52.2 61.2 82.4 85.4 78.2 70.2 70.2 69.3 77.5 66.1 69.0 79.2 56.2 64.5 77.4 88.5
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')
Compute
Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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