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Data X:
53.1 64.1 75.3 66 73.6 73.2 53.5 60.6 73 72.4 75.8 79.6 77.8 75.7 88.5 72.9 80.8 86.6 63.8 69.2 76.5 77.1 75.3 69.5 64.3 66.7 77.3 75.3 73.4 78 61 58.4 73.4 82.3 72.2 76 64.3 70.8 74 71.4 70.1 77.6 61.2 52.1 74.4 73.1 70.9 80.7 62.9 69.3 82.3 76.2 70.8 87.3 62 66.9 84.4 82.6 77.7 87 76 76.3 88.8 81.2 74.5 98.1 63.3 67.7 85.8 78.6 87.2 106.4 75 80.4 94.8 77 91 96.7 69.2 69.5 93.7 98.5 93.3 100.4 87.4 89 106.1 92.5 96.6 113.3 87.6 89.2 115.6 133.2 111.1 113.1 102 109.3 111.1 116.8 107.5 120.5 95.5 87.9 118.6 116.3 98.8 102.9 80.4 87 97.4 87.2 110.6 101.1 69.1 77.4 95 93.2 96.3 93.9 78.5 90 109.2 94.3 93.1 114.5 78.5 88.3 114.8 112.2 106.9 119.7 97.1 106.3 131.7 106.7 124 117.2 87.8 91.9 125.1 115.4 117.7 124.3 104.8 109.6 139.5 105.3 112.4 128.9 91.6 98.7 117.8 117.4 110.5 103.1 95.8 98.2 117.2 108.5 113.2 120.2 102.8 89.4 119.8 126.9 114.4 117.4 109.4 111.1 121 116.6 119.5 121.2 101 92.7 125.5 123.4 110.3 118.8 97.1 107.6 131 117.9 111 131.4 101.8 93.9 138.5 131.1 124.9 126.6 102.7 121.6 132.8 123 116 135 93.7 98.4 129.8 121.9 124.8 126.9 102 117.7 144.8 113.3 129.3 135.7 94.3 106
Data Y:
52 54.9 60.5 54.8 60.1 60.3 49.8 53.8 64.8 62 65.2 60.1 61.2 63.6 68.6 63.1 66.5 71.9 58.1 61.5 66.2 72.3 67 62.9 66.4 65.6 70.9 68.4 66.4 67.6 64.1 62.1 70 74.4 67 64.8 70.7 64 72.5 70.4 63.6 69.8 67.7 66.4 78.9 79.9 69.1 81.2 66 71.8 86.1 76.1 70.5 83.3 74.8 73.4 86.5 82 80.8 91.5 77 72.3 83.5 79 76.7 83.1 71.1 75.5 90.9 85.4 84.8 83.8 79.3 79.9 93 78.1 82.3 87.3 74.6 80 91.3 94.2 90.9 88 81.6 77.4 91 79.9 83.4 91.6 85.2 84.1 87 92.8 89.2 87.3 89.5 86.8 92 92.2 86.4 92.9 91.2 80.3 102 99 89.2 103 80.4 83.4 97.6 87 84.4 94.1 88.9 82.3 94.7 94.5 91.6 96.8 87.9 99.9 109.5 91.2 89.4 109.7 96.9 94.1 104.4 100.8 107.4 108.9 95.2 102.7 130.9 104 106.5 106.1 97.8 112.2 114.5 105.8 101 101.2 96.5 99.5 123.8 94.6 95.8 105.4 104.4 105.2 112.7 114.8 108.9 103.8 102.5 98.1 118.2 114.8 109.9 116.7 116.9 104.4 113.5 123.8 116.4 114.1 102.8 112.7 121.1 120.8 117.8 130.4 110.9 105.4 137.6 133.3 123.3 122.8 110.2 101.4 128.7 120.6 110.1 121.6 113 115.9 131.1 127.4 123.9 120.8 108.5 112.9 129.6 121.3 119.1 140.8 127.4 128.1 136.6 126.5 120.8 144.3 116 123.4 138.6 118.3 124.2 136 127.4 131.6
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
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') x <- x[!is.na(y)] y <- y[!is.na(y)] y <- y[!is.na(x)] x <- x[!is.na(x)] 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 if (par8 == 'terrain.colors') mycol <- terrain.colors(100) if (par8 == 'rainbow') mycol <- rainbow(100) if (par8 == 'heat.colors') mycol <- heat.colors(100) if (par8 == 'topo.colors') mycol <- topo.colors(100) if (par8 == 'cm.colors') mycol <- cm.colors(100) bitmap(file='bidensity.png') op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab) if (par6=='Y') contour(op$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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R Server
Big Analytics Cloud Computing Center
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