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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

Fri, 13 Nov 2009 07:51:10 -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/13/t1258123937vo4tlmnpsdua7p5.htm/, Retrieved Sun, 05 May 2024 13:57:07 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56737, Retrieved Sun, 05 May 2024 13:57:07 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

130

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

-     [Bivariate Explorative Data Analysis] [3/11/2009] [2009-11-02 22:01:32] [b98453cac15ba1066b407e146608df68]
- R PD    [Bivariate Explorative Data Analysis] [] [2009-11-13 14:51:10] [d1856923bab8a0db5ebd860815c7444f] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

2.67
2.72
2.84
3
3.08
3.21
3.44
3.74
4.08
4.79
5.44
6.02
6.01
5.85
5.93
5.85
5.74
5.75
5.78
5.62
5.67
5.89
5.67
5.64
5.64
5.64
5.54
5.52
5.28
5.25
5.23
5.09
5
5.02
4.8
4.71
4.51
4.51
4.42
4.4
4.25
4.18
4.09
3.97
3.89
4.02
3.81
3.67
3.68
3.66
3.66
3.65
3.67
3.66
3.7
3.77
3.74
3.8
3.79
3.75

Dataseries Y:

Download CSV

Histogram

1.74
1.75
1.83
2.09
2.12
2.29
2.4
2.82
3.18
4
4.8
5.28
5.37
5.27
5.33
5.23
5.08
5.11
5.1
4.97
5
5.2
4.9
4.82
5.04
4.82
4.77
4.79
4.58
4.59
4.57
4.35
4.27
4.39
3.97
3.84
3.73
3.58
3.45
3.44
3.25
3.25
3.02
2.87
2.92
2.95
2.75
2.7
2.75
2.72
2.71
2.76
2.68
2.78
2.86
2.75
2.87
2.91
2.79
2.77

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56737&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]3 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=56737&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56737&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	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Model: Y[t] = c + b X[t] + e[t]
c	-1.40017220638929
b	1.12354580833956

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -1.40017220638929 \tabularnewline
b & 1.12354580833956 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56737&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-1.40017220638929[/C][/ROW]
[ROW][C]b[/C][C]1.12354580833956[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56737&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56737&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	-1.40017220638929
b	1.12354580833956

Descriptive Statistics about e[t]
# observations	60
minimum	-0.190304652718775
Q1	-0.0569100224336198
median	0.0165927649841066
mean	-3.41246986903497e-18
Q3	0.0604834902220438
maximum	0.149972248524683

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.190304652718775 \tabularnewline
Q1 & -0.0569100224336198 \tabularnewline
median & 0.0165927649841066 \tabularnewline
mean & -3.41246986903497e-18 \tabularnewline
Q3 & 0.0604834902220438 \tabularnewline
maximum & 0.149972248524683 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56737&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]-0.190304652718775[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0569100224336198[/C][/ROW]
[ROW][C]median[/C][C]0.0165927649841066[/C][/ROW]
[ROW][C]mean[/C][C]-3.41246986903497e-18[/C][/ROW]
[ROW][C]Q3[/C][C]0.0604834902220438[/C][/ROW]
[ROW][C]maximum[/C][C]0.149972248524683[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56737&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56737&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	-0.190304652718775
Q1	-0.0569100224336198
median	0.0165927649841066
mean	-3.41246986903497e-18
Q3	0.0604834902220438
maximum	0.149972248524683

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