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Data X:
153.24 184.48 191.81 168.19 163.81 190.57 163.81 129.62 173.90 198.76 135.52 179.81 137.05 142.57 187.52 220.48 208.76 210.19 232.57 173.81 218.86 226.76 196.67 237.43 173.14 207.62 234.67 204.10 230.76 210.19 194.76 172.10 221.90 225.24 228.00 198.76 199.05 235.43 270.76 234.10 237.24 239.43 239.24 197.33 217.43 242.19 207.52 232.76 222.10 202.48 228.10 319.52 236.95 252.00 262.29 172.10 243.90 235.62 216.95 236.29
Data Y:
146.54 120.13 131.67 131.97 145.92 177.02 149.56 171.58 173.95 190.39 183.46 165.44 186.32 223.29 198.99 191.05 178.42 187.85 183.51 252.94 213.51 185.53 215.48 214.39 229.21 183.55 206.71 186.23 217.46 214.69 202.06 225.57 220.70 246.32 273.51 220.66 295.88 215.35 230.83 220.00 232.06 237.68 294.39 295.35 267.68 274.12 246.84 249.34 303.25 236.14 233.38 260.96 281.18 281.54 288.95 332.68 345.96 414.96 285.35 288.03
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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