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Data X:
252.5 251.1 255.1 258.3 255.3 261.1 253.8 252.9 253.9 255.5 262 262.8 263.3 262.5 269.2 270.8 274.1 273 267.3 267.1 268.2 270.2 271.5 281 280.1 281.5 285.9 289.8 292.9 291.2 291.8 289.8 292.5 290.3 297.5 307.5 304.7 304.6 310.7 310.7 315.7 314.7 312.2 312.8 314.3 319.7 319.9 329.5 326.9 329.7 335.7 337.2 339.7 338.3 339.2 342.5 342.2 338.3 339 345.9
Data Y:
85.9 76.8 96.2 83.9 88.7 105.4 86.7 76.3 93.2 105.1 121 163 94.7 78.4 101.4 91.2 89.9 112.2 81.5 78.8 99.1 101.3 91.5 152.6 86.6 86.6 98.5 86.7 89.1 111 92.6 85.1 116.1 98.3 97.7 177.9 94.2 83.8 109.5 102.3 102.5 162.7 85.3 88.2 104.7 99.4 113.8 166.6 89.2 93.2 115 97.2 112.5 121.8 100.2 93.8 113.6 110.7 127.6 185.9
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
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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