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Data X:
101.02 100.67 100.47 100.38 100.33 100.34 100.37 100.39 100.21 100.21 100.22 100.28 100.25 100.25 100.21 100.16 100.18 100.1 99.96 99.88 99.88 99.86 99.84 99.8 99.82 99.81 99.92 100.03 99.99 100.02 100.01 100.13 100.33 100.13 99.96 100.05 99.83 99.8 100.01 100.1 100.13 100.16 100.41 101.34 101.65 101.85 102.07 102.12 102.14 102.21 102.28 102.19 102.33 102.54 102.44 102.78 102.9 103.08 102.77 102.65 102.71 103.29 102.86 103.45 103.72 103.65 103.83 104.45 105.14 105.07 105.31 105.19 105.3 105.02 105.17 105.28 105.45 105.38 105.8 105.96 105.08 105.11 105.61 105.5
Data Y:
99.84 100.83 100.26 100.61 99.38 100.84 100.23 100.77 100.14 99.39 99.72 99.2 100.38 99.91 99.89 100.62 99.25 100.3 99.79 100.06 98.88 98.76 98.65 98.4 98.06 100.02 100.16 100.74 99.79 100.04 102.95 106.6 105.63 105.22 105.04 104.59 103.84 103.27 103.38 102.94 102.1 102.4 102.72 104.24 103.31 103.35 103.46 104.53 105.39 108.32 109.71 110.27 111.23 110.37 109.9 110.03 109.68 109.65 109.77 110.32 112.35 111.74 110.12 111.88 111.6 111.73 111.98 111.87 111.58 111.39 111.28 110.12 110.2 111.7 111.32 111.73 109.64 110.54 110.89 110.89 109.7 109.02 108.92 108.77
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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