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Data X:
90.70 94.30 104.60 111.10 110.80 107.20 99.00 99.00 91.00 96.20 96.90 96.20 100.10 99.00 115.40 106.90 107.10 99.30 99.20 108.30 105.60 99.50 107.40 93.10 88.10 110.70 113.10 99.60 93.60 98.60 99.60 114.30 107.80 101.20 112.50 100.50 93.90 116.20 112.00 106.40 95.70 96.00 95.80 103.00 102.20 98.40 111.40 86.60 91.30 107.90 101.80 104.40 93.40 100.10 98.50 112.90 101.40 107.10 110.80 90.30 95.50 111.40 113.00 107.50 95.90 106.30 105.20 117.20 106.90 108.20 113.00 97.20 99.90 108.10 118.10 109.10 93.30 112.10 111.80 112.50 116.30 110.30 117.10 103.40 96.20
Data Y:
78.40 114.60 113.30 117.00 99.60 99.40 101.90 115.20 108.50 113.80 121.00 92.20 90.20 101.50 126.60 93.90 89.80 93.40 101.50 110.40 105.90 108.40 113.90 86.10 69.40 101.20 100.50 98.00 106.60 90.10 96.90 125.90 112.00 100.00 123.90 79.80 83.40 113.60 112.90 104.00 109.90 99.00 106.30 128.90 111.10 102.90 130.00 87.00 87.50 117.60 103.40 110.80 112.60 102.50 112.40 135.60 105.10 127.70 137.00 91.00 90.50 122.40 123.30 124.30 120.00 118.10 119.00 142.70 123.60 129.60 151.60 110.40 99.20 130.50 136.20 129.70 128.00 121.60 135.80 143.80 147.50 136.20 156.60 123.30 100.40
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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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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