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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edabi.wasp

Title produced by software

Bivariate Explorative Data Analysis

Date of computation

Tue, 03 Nov 2009 11:59:15 -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/t12572748402r1mn2m3wjdbjpq.htm/, Retrieved Wed, 01 May 2024 15:37:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53346, Retrieved Wed, 01 May 2024 15:37:04 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [Bivariate Explorative Data Analysis] [WS5] [2009-11-03 14:23:14] [ed603017d2bee8fbd82b6d5ec04e12c3]
- RMPD  [Partial Correlation] [partial correlati...] [2009-11-03 18:37:00] [ed603017d2bee8fbd82b6d5ec04e12c3]
- RMPD      [Bivariate Explorative Data Analysis] [bivariate e' en e''] [2009-11-03 18:59:15] [87085ce7f5378f281469a8b1f0969170] [Current]

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Dataseries X:

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Histogram

Boxplots

8.94
9.9
-7.23
2.26
7.69
-7.6
4.34
16.5
-4.8
-3.29
-6.12
-2.88
6.36
7.98
-6.18
-1.03
3.47
-7.91
8.09
11.78
-7.7
-3.79
-9.5
-1.54
4.47
5.78
-11.62
4.9
-4.84
-8.96
8.07
8.29
-5.51
-11.48
-14.33
-1.61
-3.47
-0.52
-13.1
-0.39
-5.2
-2.64
1.84
4.25
-5.15
-16.31
-15.08
0.4
-6.1
-5.76
-4.52
-7.79
-1.29
-8.74
3.27
15.14
-7.65
-11.33
3.6
9.53

Dataseries Y:

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Histogram

0.26
0.64
1.66
0.99
0.56
1.36
0.5
-0.45
0.93
0.95
1.2
1.05
0.7
0.85
1.68
1.17
0.89
1.47
0.26
-0.15
1.02
0.77
0.91
0.49
0.13
0.18
1.01
-0.09
0.21
0.45
-0.73
-0.72
-0.03
0.23
0.21
-0.7
-0.5
-0.35
0.42
-0.64
-0.53
-0.63
-1.15
-1.4
-1.07
-0.36
-0.43
-1.33
-0.83
-0.59
-0.49
-0.37
-0.94
-0.6
-1.45
-2.08
-0.83
-0.61
-1.47
-1.59

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53346&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53346&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53346&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Model: Y[t] = c + b X[t] + e[t]
c	-0.0415978491936369
b	-0.0294492039440045

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -0.0415978491936369 \tabularnewline
b & -0.0294492039440045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53346&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-0.0415978491936369[/C][/ROW]
[ROW][C]b[/C][C]-0.0294492039440045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53346&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53346&T=1

As an alternative you can also use a QR Code:

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

Model: Y[t] = c + b X[t] + e[t]
c	-0.0415978491936369
b	-0.0294492039440045

Descriptive Statistics about e[t]
# observations	60
minimum	-1.59254120309414
Q1	-0.73820184092614
median	0.0766614958984447
mean	1.20491001435556e-16
Q3	0.828607088207878
maximum	1.53960176881969

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -1.59254120309414 \tabularnewline
Q1 & -0.73820184092614 \tabularnewline
median & 0.0766614958984447 \tabularnewline
mean & 1.20491001435556e-16 \tabularnewline
Q3 & 0.828607088207878 \tabularnewline
maximum & 1.53960176881969 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53346&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-1.59254120309414[/C][/ROW]
[ROW][C]Q1[/C][C]-0.73820184092614[/C][/ROW]
[ROW][C]median[/C][C]0.0766614958984447[/C][/ROW]
[ROW][C]mean[/C][C]1.20491001435556e-16[/C][/ROW]
[ROW][C]Q3[/C][C]0.828607088207878[/C][/ROW]
[ROW][C]maximum[/C][C]1.53960176881969[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53346&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53346&T=2

As an alternative you can also use a QR Code:

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

Descriptive Statistics about e[t]
# observations	60
minimum	-1.59254120309414
Q1	-0.73820184092614
median	0.0766614958984447
mean	1.20491001435556e-16
Q3	0.828607088207878
maximum	1.53960176881969

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

Figure 8

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0 ; par2 = 36 ;

Parameters (R input):

par1 = 0 ; par2 = 36 ;

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

par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
y <- as.ts(y)
mylm <- lm(y~x)
cbind(mylm$resid)
library(lattice)
bitmap(file='pic1.png')
plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1a.png')
plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1b.png')
plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')
grid()
dev.off()
bitmap(file='pic1c.png')
plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(mylm$resid,main='Histogram of e[t]')
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)
} else {
densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(mylm$resid,main='QQ plot of e[t]')
qqline(mylm$resid)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='pic5.png')
acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'c',1,TRUE)
a<-table.element(a,mylm$coeff[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'b',1,TRUE)
a<-table.element(a,mylm$coeff[[2]])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(mylm$resid))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code