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Data X:
100.00 111.86 94.12 67.79 146.04 125.66 142.87 130.03 110.01 132.79 88.24 91.97 96.65 97.15 90.73 52.53 156.91 144.88 169.43 133.38 131.28 116.33 89.15 85.08 89.39 103.09 85.35 45.99 152.82 130.37 150.50 126.97 123.24 126.57 100.26 91.76 100.28 121.65 97.29 62.55 154.99 147.85 147.40 156.80 126.81 131.76 99.21 87.35 100.76 110.57 76.46 56.51 124.95 118.29 136.43 128.62 100.74 111.75 93.43 83.33
Data Y:
100.00 96.67 91.06 89.04 82.91 84.05 91.76 90.10 85.98 99.82 70.90 83.87 99.21 92.81 95.35 89.66 86.77 88.26 101.23 88.26 96.32 100.44 74.85 88.08 100.61 102.10 98.95 89.40 92.90 92.29 104.12 92.99 95.79 102.72 81.07 91.32 98.60 107.27 99.30 87.64 97.02 98.86 96.23 102.80 95.62 101.58 84.14 87.47 102.37 101.40 87.12 82.65 79.75 81.68 90.36 82.47 80.46 90.01 72.39 78.09
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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