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Data X:
90.70 89.53 90.70 90.70 89.53 87.21 82.56 80.23 82.56 84.88 87.21 84.88 80.23 76.74 77.91 77.91 80.23 82.56 83.72 82.56 81.40 79.07 81.40 84.88 88.37 93.02 94.19 91.86 90.70 90.70 91.86 93.02 93.02 93.02 93.02 94.19 97.67 100.00 98.84 98.84 98.84 98.84 98.84 98.84 98.84 98.84 97.67 98.84 98.84 100.00 97.67 98.84 97.67 96.51 96.51 96.51 100.00 103.49 103.49 100.00 93.02 90.70 90.70 96.51 98.84 100.00 98.84 97.67 96.51 95.35 94.19 94.19 94.19 94.19 94.19 95.35 95.35 94.19 91.86 90.70 88.37 88.37 88.37 88.37 86.05 84.88 84.88 86.05 86.05 86.05 86.05 84.88 82.56 76.74 72.09 72.09 75.58 76.74 75.58 72.09 70.93 72.09 74.42 77.91 79.07 79.07 81.40 79.07 80.23 80.23 81.40 80.23 81.40 83.72 87.21 89.53 91.86 94.19 97.67
Data Y:
91.46 90.24 93.90 96.34 93.90 86.59 75.61 70.73 74.39 84.15 89.02 87.80 74.39 70.73 74.39 78.05 82.93 82.93 79.27 75.61 76.83 78.05 80.49 81.71 78.05 82.93 85.37 84.15 86.59 87.80 86.59 85.37 84.15 81.71 80.49 84.15 89.02 96.34 100.00 100.00 100.00 98.78 96.34 93.90 93.90 92.68 91.46 91.46 86.59 91.46 91.46 95.12 95.12 95.12 92.68 91.46 93.90 98.78 97.56 92.68 80.49 79.27 82.93 91.46 97.56 100.00 98.78 96.34 96.34 92.68 91.46 92.68 89.02 91.46 92.68 91.46 92.68 95.12 96.34 95.12 91.46 80.49 76.83 76.83 73.17 76.83 78.05 76.83 76.83 78.05 81.71 81.71 82.93 75.61 70.73 68.29 65.85 69.51 70.73 67.07 65.85 65.85 65.85 67.07 68.29 69.51 70.73 65.85 59.76 63.41 67.07 71.95 76.83 79.27 78.05 78.05 80.49 82.93 87.80
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
N
display data points
(Y/N)
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
view raw input (R code)
Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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