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16.4
17.8
22.3
22.8
18.3
22.4
23.9
21.3
23.0
21.4
21.2
20.9
17.9
20.7
22.2
19.8
17.7
19.6
20.8
19.8
18.6
21.
18.6
18.9
17.3
20.0
19.9
19.5
16.2
17.6
19.8
19.4
17.2
21.1
17.8
17.5
18.0
19.1
17.7
19.2
15.1
16.3
18.6
17.2
17.8
19.1
16.6
16.0
16.7
17.4
17.9
17.8
13.9
15.9
17.9
15.4
16.4
17.9
15.3
14.6
14.9
15.0
16.7
16.3
11.7
15.1
15.5
15.0
15.4
16.0
14.7
14.8

18.0
19.6
23.3
23.7
20.3
22.8
24.3
21.5
23.5
22.2
20.9
22.2
19.5
21.1
22.0
19.2
17.8
19.2
19.9
19.6
18.1
20.4
18.1
18.6
17.6
19.4
19.3
18.6
16.9
16.4
19.0
18.7
17.1
21.5
17.8
18.1
19.0
18.9
16.8
18.1
15.7
15.1
18.3
16.5
16.9
18.4
16.4
15.7
16.9
16.6
16.7
16.6
14.4
14.5
17.5
14.3
15.4
17.2
14.6
14.2
14.9
14.1
15.6
14.6
11.9
13.5
14.2
13.7
14.4
15.3
14.3
14.5

94.3
99.4
115.7
116.8
99.8
96.0
115.9
109.1
117.3
109.8
112.8
110.7
100.0
113.3
122.4
112.5
104.2
92.5
117.2
109.3
106.1
118.8
105.3
106.0
102.0
112.9
116.5
114.8
100.5
85.4
86.6
109.9
100.7
115.5
100.7
99.0
102.3
108.8
105.9
113.2
95.7
80.9
113.9
98.1
102.8
104.7
95.9
94.6
101.6
103.9
110.3
114.1
96.8
87.4
111.4
97.4
102.9
112.7
97.0
95.1
96.9
98.6
111.7
109.8
89.9
87.4
104.5
98.1
102.7
105.4
97.0
97.4

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()