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Data X:
103.7 103.75 103.85 104.02 104.13 104.17 104.18 104.2 104.5 104.78 104.88 104.89 104.9 104.95 105.24 105.35 105.44 105.46 105.47 105.48 105.75 106.1 106.19 106.23 106.24 106.25 106.35 106.48 106.52 106.55 106.55 106.56 106.89 107.09 107.24 107.28 107.3 107.31 107.47 107.35 107.31 107.32 107.32 107.34 107.53 107.72 107.75 107.79 107.81 107.9 107.8 107.86 107.8 107.74 107.75 107.83 107.8 107.81 107.86 107.83
Data Y:
106.22 106.31 107.38 109.31 110.82 111.22 110.66 110.76 110.69 111.08 110.97 110.24 112.51 111.52 112.13 112.23 112.92 111.89 111.99 111.51 112.33 112.04 112.09 111.41 112.61 113.14 113.65 114.26 114.4 114.93 114.86 114.95 116.17 114.6 114.62 113.82 115.02 115.18 115.59 116.6 117.07 116.96 116.66 116.07 116.04 115.81 116.22 115.85 116.43 117.39 119.17 119.24 120.03 119.34 118.49 118.59 117.5 117.56 118.25 118.01
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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