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• QR Code (size=3)
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4.8
5.5
5.4
5.9
5.8
5.1
4.1
4.4
3.6
3.5
3.1
2.9
2.2
1.4
1.2
1.3
1.3
1.3
1.8
1.8
1.8
1.7
2.1
2
1.7
1.9
2.3
2.4
2.5
2.8
2.6
2.2
2.8
2.8
2.8
2.3
2.2
3
2.9
2.7
2.7
2.3
2.4
2.8
2.3
2
1.9
2.3
2.7
1.8
2
2.1
2
2.4
1.7
1
1.2
1.4
1.7
1.8

19.2
26.6
26.6
31.4
31.2
26.4
20.7
20.7
15
13.3
8.7
10.2
4.3
-0.1
-4.6
-3.9
-3.5
-3.4
-2.5
-1.1
0.3
-0.9
3.6
2.7
-0.2
-1
5.8
6.4
9.6
13.2
10.6
10.9
12.9
15.9
12.2
9.1
9
17.4
14.7
17
13.7
9.5
14.8
13.6
12.6
8.9
10.2
12.7
16
10.4
9.9
9.5
8.6
10
3.5
-4.2
-4.4
-1.5
-0.1
0.8

3
3.5
3.9
4.4
3.5
4.7
1.6
2.3
1.2
1.4
2.7
1.5
2.1
0.5
1.7
3.6
3.2
1.7
5.6
3.7
4.3
5.9
4.8
6
5.6
6.7
3.3
3
1.6
1.7
1.1
-0.3
3
2.7
1.8
1.5
1
0.5
2.8
1.4
1.7
2.6
1.9
3.9
1.5
-0.5
1.9
1
0.1
-3.1
-0.8
0.7
1.4
2.8
1.9
1.1
1.4
2.9
2.9
2.9

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()