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Data X:
0.46 0.73 0.73 0.52 0.78 0.83 0.73 NA 0.93 0.88 0.75 0.78 0.82 0.56 0.79 0.8 0.89 0.48 NA 0.59 0.65 0.73 0.69 0.75 NA 0.85 0.78 0.39 0.39 0.64 0.55 0.5 0.91 NA 0.37 0.39 0.83 0.72 0.72 0.5 0.57 0.42 0.76 NA 0.82 0.77 0.85 0.87 0.92 0.46 0.72 0.71 0.73 0.69 0.66 0.58 0.39 0.85 0.43 0.72 0.88 0.89 NA NA 0.67 0.44 0.75 0.91 0.57 0.86 0.74 NA 0.62 0.41 0.42 0.63 0.48 0.61 0.82 0.6 0.68 0.76 0.65 0.91 0.89 0.87 0.72 0.89 0.75 0.78 0.54 NA 0.89 0.82 0.65 0.56 0.81 0.76 0.48 0.42 0.74 0.83 0.89 0.74 0.51 0.43 0.77 0.41 NA 0.5 0.77 0.75 0.68 0.71 0.8 NA 0.62 0.41 0.53 0.62 NA 0.54 0.92 NA 0.91 0.63 0.34 0.5 0.94 0.79 0.53 0.77 0.5 0.67 0.73 0.66 0.84 0.83 0.85 NA 0.79 0.79 0.48 0.74 0.73 0.72 0.7 0.55 0.83 0.46 0.76 0.4 0.91 0.84 0.88 0.5 NA 0.66 0.87 0.75 0.71 0.53 0.9 0.93 0.62 0.62 0.51 0.72 0.6 0.47 0.72 0.77 0.72 0.76 0.68 0.48 0.74 0.9 0.83 0.91 0.79 0.67 0.763846 0.66 NA 0.5 0.58 0.49
Data Y:
0.79 2.21 2.12 0.93 5.38 3.14 2.23 11.88 9.31 6.06 2.31 6.84 7.49 0.72 4.48 5.09 7.44 1.41 5.77 4.84 2.96 3.12 3.83 3.11 2.86 4.06 3.32 1.21 0.8 2.52 1.21 1.17 8.17 5.65 1.24 1.46 4.36 3.38 1.87 1.03 1.29 0.82 2.84 1.27 3.92 1.95 4.21 5.19 5.51 2.19 2.57 1.53 2.17 2.15 2.07 3.97 0.42 6.86 1.02 2.9 5.87 5.14 2.34 4.73 2.02 1.03 1.58 5.3 1.97 4.38 2.98 3.23 1.89 1.41 1.53 3.07 0.61 1.68 2.92 1.16 1.58 2.79 1.88 5.57 6.22 4.61 1.89 5.02 2.1 5.55 1.03 1.17 5.69 8.13 1.91 1.22 6.29 3.84 1.66 1.21 3.69 5.83 15.82 3.26 0.99 0.81 3.71 1.53 2.08 2.54 3.46 2.89 1.78 6.08 3.78 7.78 1.68 0.87 1.43 2.48 2.94 0.98 5.28 3.58 5.6 1.39 1.56 1.16 4.98 7.52 0.79 2.79 1.91 4.16 2.28 1.1 4.44 3.88 10.8 3.65 2.71 5.69 0.87 4.94 2.45 3.11 2.77 1.49 5.61 1.21 2.7 1.24 7.97 4.06 5.81 1.29 1.24 3.31 3.67 1.32 4.25 2.01 7.25 5.79 1.51 0.91 1.32 2.66 0.48 1.13 2.7 7.92 2.34 3.33 5.47 1.24 2.84 4.94 7.93 8.22 2.91 2.32 3.57 1.65 2.07 1.03 0.99 1.37
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
par8 <- 'terrain.colors' par7 <- 'Y' par6 <- 'Y' par5 <- '0' par4 <- '0' par3 <- '0' par2 <- 'no' par1 <- 'grey' 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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