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Data X:
1.25 1.23 1.2 1.15 1.13 1.17 1.22 1.21 1.15 1.24 1.16 1.3 1.3 1.26 1.29 1.29 1.35 1.35 1.45 1.43 1.43 1.41 1.46 1.78 1.79 1.66 1.56 1.53 1.47 1.47 1.45 1.41 1.45 1.46 1.38 1.45 1.48 1.48 1.51 1.45 1.42 1.43 1.43 1.44 1.41 1.35 1.43 1.72 1.63 1.57 1.47 1.39 1.34 1.28 1.26 1.26
Data Y:
1.89 1.84 1.83 1.8 1.77 1.75 1.73 1.71 1.73 1.75 1.78 1.99 1.98 1.94 1.95 1.91 1.90 1.86 1.90 1.88 1.87 1.89 1.97 2.14 2.15 2.06 1.95 1.94 1.92 1.89 1.87 1.87 1.88 1.92 1.94 2.14 2.10 2.02 1.96 1.93 1.87 1.85 1.87 1.88 1.90 1.90 2.00 2.21 2.07 1.96 1.92 1.82 1.75 1.70 1.70 1.73
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
view raw input (R code)
Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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