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116.1
102.5
102.0
101.3
100.6
100.9
104.2
108.3
108.9
109.9
106.8
112.7
113.4
101.3
97.8
95.0
93.8
94.5
101.4
105.8
106.6
109.7
108.8
113.4
113.7
103.6
98.2
95.5
94.4
95.9
103.2
104.1
127.6
130.3
133.0
140.4
123.5
116.9
115.9
113.1
112.1
112.4
118.9
117.4
115.6
120.7
114.9
122.0
119.6
114.6
118.4
110.9
111.6
114.6
112.1
117.4
114.8
123.4
118.1
121.9
123.3

117.1
107.0
107.0
111.0
108.2
96.3
100.9
107.7
106.2
118.7
116.1
118.1
118.4
110.8
106.4
112.2
108.3
96.0
100.6
107.8
108.4
120.9
117.3
119.7
119.6
111.8
108.1
111.8
105.5
93.6
103.9
100.3
106.6
118.4
106.6
109.8
115.9
111.7
119.8
116.1
103.2
99.0
112.3
104.2
114.0
121.7
107.2
112.8
117.8
113.3
116.1
111.8
110.2
110.0
102.9
110.1
102.7
118.7
109.0
115.7
118.1

118.9
108.8
115.6
95.0
92.8
108.9
109.8
106.1
102.8
98.4
85.7
114.6
129.4
117.7
126.6
103.8
101.5
118.7
119.6
114.8
109.9
106.3
95.0
124.5
140.4
128.8
137.5
113.3
110.3
129.1
128.4
120.3
113.6
96.9
124.7
126.4
131.9
122.5
113.1
99.8
116.0
115.0
114.0
111.0
91.7
90.6
103.3
106.7
111.2
102.9
126.5
115.1
110.2
110.1
103.3
107.7
103.9
114.0
117.2
117.0
116.5

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()