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Data X:
18 18 18 18 21.6 21.6 21.6 20.1 20.1 20.1 22.9 22.9 22.9 24 24 24 20.3 20.3 20.3 15.8 15.8 15.8 23.3 23.3 23.3 20.9 20.9 20.9 19.8 19.8 19.8 20.6 20.6 20.6 21.1 21.1 21.1 22.4 22.4 22.4 20.5 20.5 20.5 18.4 18.4 18.4 17.6 17.6 17.6 18.5 18.5 18.5 17.3 17.3 17.3 16.2 16.2 16.2 18 18 18
Data Y:
37.9 37 37 37 41.5 41.5 41.5 37.6 37.6 37.6 49.5 49.5 49.5 44.8 44.8 44.8 39.2 39.2 39.2 35.3 35.3 35.3 50.4 50.4 50.4 45 45 45 41.1 41.1 41.1 39.7 39.7 39.7 47.3 47.3 47.3 44.1 44.1 44.1 39.9 39.9 39.9 37.9 37.9 37.9 46.3 46.3 46.3 40.3 40.3 40.3 37.3 37.3 37.3 38.8 38.8 38.8 42.6 42.6 42.6
Data Z:
19.9 19 19 19 19.9 19.9 19.9 17.5 17.5 17.5 26.6 26.6 26.6 20.8 20.8 20.8 18.9 18.9 18.9 19.5 19.5 19.5 27.1 27.1 27.1 24.1 24.1 24.1 21.3 21.3 21.3 19.1 19.1 19.1 26.2 26.2 26.2 21.7 21.7 21.7 19.4 19.4 19.4 19.5 19.5 19.5 28.7 28.7 28.7 21.8 21.8 21.8 20 20 20 22.6 22.6 22.6 24.6 24.6 24.6 100 104 100.8 100.3
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gridsize on x-axis
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gridsize on y-axis
(?)
plot contours
Y
Y
N
plot points
Y
Y
N
Name of dataset X
Name of dataset Y
Name of dataset Z
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R Code
x <- array(x,dim=c(length(x),1)) colnames(x) <- par5 y <- array(y,dim=c(length(y),1)) colnames(y) <- par6 z <- array(z,dim=c(length(z),1)) colnames(z) <- par7 d <- data.frame(cbind(z,y,x)) colnames(d) <- list(par7,par6,par5) par1 <- as.numeric(par1) par2 <- as.numeric(par2) if (par1>500) par1 <- 500 if (par2>500) par2 <- 500 if (par1<10) par1 <- 10 if (par2<10) par2 <- 10 library(GenKern) library(lattice) panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='black', ...) } bitmap(file='cloud1.png') cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7) dev.off() bitmap(file='cloud2.png') cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7) dev.off() bitmap(file='cloud3.png') cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7) dev.off() bitmap(file='pairs.png') pairs(d,diag.panel=panel.hist) dev.off() x <- as.vector(x) y <- as.vector(y) z <- as.vector(z) bitmap(file='bidensity1.png') op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y)) image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,y)',xlab=par5,ylab=par6) if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par4=='Y') points(x,y) (r<-lm(y ~ x)) abline(r) box() dev.off() bitmap(file='bidensity2.png') op <- KernSur(y,z, xgridsize=par1, ygridsize=par2, correlation=cor(y,z), xbandwidth=dpik(y), ybandwidth=dpik(z)) op image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (y,z)',xlab=par6,ylab=par7) if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par4=='Y') points(y,z) (r<-lm(z ~ y)) abline(r) box() dev.off() bitmap(file='bidensity3.png') op <- KernSur(x,z, xgridsize=par1, ygridsize=par2, correlation=cor(x,z), xbandwidth=dpik(x), ybandwidth=dpik(z)) op image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,z)',xlab=par5,ylab=par7) if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par4=='Y') points(x,z) (r<-lm(z ~ x)) abline(r) box() dev.off()
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