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Data X:
1962.3 2095.2 2161 2115.1 1929 2004.5 2009.9 1524.9 2061.1 2261.6 2103.6 2224.3 2173.8 2119.2 2226.4 2159.6 1918.3 2116.1 1948.3 1514.3 2180.5 2312.6 2019.8 2200.8 2028.9 2178.7 2433.7 2230.5 1884.2 2372.7 1918.6 1679.4 2327.3 2225.2 2211.7 2463.6 2029.5 2173.6 2387 2234 2179.9 2397 1960.2 1824.1 2479.3 2234.9 2345.9 2428.9 2179.4 2216.9 2642.3 2340.5 2474.6 2641.8 2165.1 1996.2 2562.9 2529.9 2549.6 2455.1 2472 2424.7 2820.1 2666 2654.6 2732.2 2546.9
Data Y:
89.9 89.3 105.7 100.3 108.2 105.3 97.9 83.7 101.5 97.9 96 173.9 115.8 109.2 112.2 109.7 102.4 110.2 98.3 88.1 120 121.9 104.6 112.5 107 107.8 137.8 128.8 124.6 133 130.9 156.1 181.6 150.4 140.4 130.1 114.5 108.5 132.3 133.9 109.1 294.6 103.6 101.5 125.7 130.2 130 145.4 124.8 132.2 155.7 131.5 129.5 142.9 131.5 130.4 140.4 152.6 155 136.1 143.9 145.7 165.2 240 152.7 160.3 128.6
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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