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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

Thu, 05 Nov 2009 09:05:49 -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/05/t12574372918asbpxker9ps2g0.htm/, Retrieved Fri, 03 May 2024 03:32:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54156, Retrieved Fri, 03 May 2024 03:32:58 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

107

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

-       [Bivariate Explorative Data Analysis] [ws5bivarY] [2009-11-05 16:05:49] [f47dffd5f5a8c03c3681db4cc9472742] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

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

Dataseries Y:

Download CSV

Histogram

1.8
1.8
2.2
2.3
2.6
2.3
2.5
2.2
2.7
2.9
3.1
3
2.9
2.8
2.8
2.5
2.2
2.6
2.5
2.5
2.4
2.1
2
1.7
1.9
1.8
1.7
1.9
2
2
1.7
1.6
1.6
1.5
1.6
1.9
1.8
1.9
1.7
1.6
1.7
1.3
1.6
1.1
1.7
1.6
1.5
1.3
1.4
1.1
1.5
1.3
1.1
1.5
1.2
1.4
1.1
1.2
1.3
1.3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	111 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 & 111 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54156&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]111 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=54156&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54156&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	111 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Model: Y[t] = c + b X[t] + e[t]
c	5.23954495926945
b	-0.466014631868418

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 5.23954495926945 \tabularnewline
b & -0.466014631868418 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54156&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]5.23954495926945[/C][/ROW]
[ROW][C]b[/C][C]-0.466014631868418[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54156&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54156&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	5.23954495926945
b	-0.466014631868418

Descriptive Statistics about e[t]
# observations	60
minimum	-0.644435220256316
Q1	-0.346134488662895
median	-0.130841073003684
mean	-5.35711069688666e-17
Q3	0.337117340320639
maximum	1.06236185337

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.644435220256316 \tabularnewline
Q1 & -0.346134488662895 \tabularnewline
median & -0.130841073003684 \tabularnewline
mean & -5.35711069688666e-17 \tabularnewline
Q3 & 0.337117340320639 \tabularnewline
maximum & 1.06236185337 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54156&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]-0.644435220256316[/C][/ROW]
[ROW][C]Q1[/C][C]-0.346134488662895[/C][/ROW]
[ROW][C]median[/C][C]-0.130841073003684[/C][/ROW]
[ROW][C]mean[/C][C]-5.35711069688666e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.337117340320639[/C][/ROW]
[ROW][C]maximum[/C][C]1.06236185337[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54156&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54156&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	-0.644435220256316
Q1	-0.346134488662895
median	-0.130841073003684
mean	-5.35711069688666e-17
Q3	0.337117340320639
maximum	1.06236185337

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