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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_cloud.wasp

Title produced by software

Trivariate Scatterplots

Date of computation

Tue, 03 Nov 2009 06:25:59 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/03/t1257255002bxwhkopj0iyerhm.htm/, Retrieved Wed, 01 May 2024 14:01:13 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53142, Retrieved Wed, 01 May 2024 14:01:13 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

WS5,trivariate,inflatie

Estimated Impact

156

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Data Series] [] [2009-10-12 17:22:50] [0750c128064677e728c9436fc3f45ae7]
- RMPD    [Trivariate Scatterplots] [] [2009-11-03 13:25:59] [30f5b608e5a1bbbae86b1702c0071566] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

2
2,1
2,1
2,5
2,2
2,3
2,3
2,2
2,2
1,6
1,8
1,7
1,9
1,8
1,9
1,5
1
0,8
1,1
1,5
1,7
2,3
2,4
3
3
3,2
3,2
3,2
3,5
4
4,3
4,1
4
4,1
4,2
4,5
5,6
6,5
7,6
8,5
8,7
8,3
8,3
8,5
8,7
8,7
8,5
7,9
7
5,8
4,5
3,7
3,1
2,7
2,3
1,8
1,5
1,2
1

Dataseries Y:

Download CSV

Histogram

1,3
1,2
1,1
1,4
1,2
1,5
1,1
1,3
1,5
1,1
1,4
1,3
1,5
1,6
1,7
1,1
1,6
1,3
1,7
1,6
1,7
1,9
1,8
1,9
1,6
1,5
1,6
1,6
1,7
2
2
1,9
1,7
1,8
1,9
1,7
2
2,1
2,4
2,5
2,5
2,6
2,2
2,5
2,8
2,8
2,9
3
3,1
2,9
2,7
2,2
2,5
2,3
2,6
2,3
2,2
1,8
1,8

Dataseries Z:

Download CSV

Histogram

2,3
1,9
1,7
2,5
2,1
2,4
1,5
1,9
2,1
2,2
2
2
2,2
2,3
2,3
2
2,2
1,9
2,3
2,2
2,3
2,1
2,4
2,3
1,9
1,6
1,8
1,8
2
2,3
2,2
2,2
2
2
1,9
1,5
1,6
1,5
2
1,5
1,5
1,9
1,1
1,5
2,1
2,3
2,6
2,9
3,2
3,2
3,1
3
3,3
2,7
3,6
3,1
2,7
2,6
2,2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53142&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53142&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53142&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Figure 1

PNG link

Postscript link

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Figure 2

PNG link

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Figure 3

PNG link

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Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

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PDF link

Figure 6

PNG link

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Figure 7

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 50 ; par2 = 50 ; par3 = Y ; par4 = Y ; par5 = inflatie levensmiddelen ; par6 = totale inflatie ; par7 = inflatie diensten ;

Parameters (R input):

par1 = 50 ; par2 = 50 ; par3 = Y ; par4 = Y ; par5 = inflatie levensmiddelen ; par6 = totale inflatie ; par7 = inflatie diensten ;

R code (references can be found in the software module):

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()

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code