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Data X:
-12.7 -2.4 7.1 -3.9 9.5 5 -16.1 -10.8 7 13.6 8.1 -8.1 4.9 -0.8 4.3 4 1.5 5.4 -11.3 -16.4 -2 8.9 -7.2 -18 1.3 6.3 -6 2.8 2 5.1 -7.6 -18.6 5.8 20.3 0.7 -11.2 -5.7 -0.1 3.4 3.3 -1.2 4.2 -8.8 -25.3 8.5 14.5 -3.1 -10.4 -2.9 0.3 22.6 15.4 9 29.1 2.8 -3.8 27.7 28.9 26.5 19.8 13.2 14.1 34.1 30 21.8 32.1 5.3 3 17.1 26.3 38.1 19.5 38 35.5 78.6 62.2 76.9 104.9 32.2 42.5 64.3 74.9 75.4 43 58.7 55.4 76.6 63.3 78.9 82.7
Data Y:
59.9 59.9 59.9 60.9 60.9 60.9 61.1 61.1 61.1 60.2 60.2 60.2 60.1 60.1 60.1 59.7 59.7 59.7 60.5 60.5 60.5 59.5 59.5 59.5 59.5 59.5 59.5 59.7 59.7 59.7 60.4 60.4 60.4 60 60 60 59 59 59 59.3 59.3 59.3 59.7 59.7 59.7 60.4 60.4 60.4 59.9 59.9 59.9 60.5 60.5 60.5 60.4 60.4 60.4 60.6 60.6 60.6 60.9 60.9 60.9 61 61 61 61.2 61.2 61.2 61.2 61.2 61.2 60.3 60.3 60.3 60.4 60.4 60.4 61.2 61.2 61.2 62.1 62.1 62.1 61.7 61.7 61.7 61.6 61.6 61.6
Data Z:
7.3 7.2 7.1 6.9 6.8 6.7 6.8 6.8 6.7 6.8 6.8 6.7 6.3 6.2 6.2 6.5 6.5 6.4 6.2 6.2 6.3 7.5 7.4 7.4 7.4 7.4 7.4 7.2 7.2 7.2 7.5 7.4 7.5 8.0 8.0 8.0 8.1 8.1 8.1 7.9 7.9 8.0 8.2 8.1 8.2 8.5 8.5 8.6 8.4 8.4 8.4 7.7 7.8 7.9 8.8 8.8 8.9 8.5 8.5 8.5 8.4 8.5 8.4 8.3 8.4 8.4 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.3 8.3 8.3 8.2 8.1 8.1 8.2 8.0 7.9 7.9 7.8 7.7 7.9 7.7 7.6
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gridsize on x-axis
(?)
gridsize on y-axis
(?)
plot contours
Y
N
plot points
Y
N
Name of dataset X
Name of dataset Y
Name of dataset Z
Chart options
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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