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Data X:
100.00 127.27 109.09 136.36 100.00 118.18 136.36 100.00 127.27 118.18 136.36 145.45 154.55 100.00 145.45 118.18 154.55 145.45 154.55 172.73 163.64 172.73 145.45 136.36 145.45 145.45 154.55 181.82 181.82 172.73 154.55 163.64 172.73 154.55 181.82 190.91 218.18 227.27 227.27 236.36 200.00 227.27 254.55 254.55 263.64 272.73 281.82 263.64 245.45 200.00 227.27 209.09 236.36 209.09 200.00 163.64 163.64 181.82 145.45 163.64
Data Y:
100.00 98.86 96.87 103.18 104.66 103.74 103.87 98.10 98.91 109.43 104.89 88.63 97.03 93.79 97.61 98.17 96.31 97.82 87.52 85.71 89.15 90.65 92.74 80.00 84.33 93.26 115.89 105.21 94.23 106.12 94.41 101.30 98.43 107.94 102.82 92.33 97.48 88.37 92.50 81.48 92.55 98.96 77.28 91.01 81.21 88.41 96.02 91.59 86.30 86.37 105.41 76.73 93.26 95.02 84.32 93.24 89.81 111.66 103.23 103.21
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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