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Author's title

Author

*Unverified author*

R Software Module

rwasp_edabi.wasp

Title produced by software

Bivariate Explorative Data Analysis

Date of computation

Thu, 12 Nov 2009 07:16:23 -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/12/t1258035425gou61imi7dlsbua.htm/, Retrieved Sat, 04 May 2024 02:10:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56011, Retrieved Sat, 04 May 2024 02:10:01 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

158

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]
-   PD    [Bivariate Explorative Data Analysis] [] [2009-11-12 14:16:23] [cb3e966d7bf80cd999a0432e97d174a7] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

2.97
3.04
3.12
3.21
3.34
3.45
3.74
4.02
4.24
4.87
5.62
6.02
5.98
5.89
5.76
5.58
5.39
5.19
5.16
5.2
5.25
5.26
5.21
5.18
5.13
5.03
5.01
4.87
4.86
4.82
4.69
4.65
4.61
4.47
4.37
4.29
4.2
4.19
4.09
3.88
3.87
3.74
3.61
3.43
3.29
3.18
3.07
3.02
2.97
2.98
3.01
3.06
3.12
3.16
3.19
3.21
3.27
3.36
3.45
3.52
3.58
3.62
3.5
3.43
3.41
3.48
3.63
3.76
3.8
3.72
3.67
3.58
3.47
3.43
3.55
3.65
3.7
3.7
3.93
4.15
4.24

Dataseries Y:

Download CSV

Histogram

4.62
4.64
4.57
4.49
4.48
4.5
4.52
4.63
4.75
4.99
5.28
5.33
5.26
5.14
4.99
4.85
4.83
4.83
4.88
4.91
4.93
4.93
4.95
4.95
4.88
4.78
4.61
4.46
4.42
4.43
4.41
4.4
4.36
4.36
4.38
4.4
4.37
4.32
4.18
4.04
4
3.97
3.94
3.93
3.89
3.89
3.88
3.9
3.9
3.95
4.02
4.07
4.17
4.27
4.32
4.38
4.45
4.71
4.96
4.95
4.78
4.78
4.68
4.65
4.64
4.74
4.76
4.61
4.75
4.73
4.68
4.68
4.75
4.79
4.81
4.92
4.99
5.18
5.29
5.48
5.66

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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56011&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56011&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56011&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Model: Y[t] = c + b X[t] + e[t]
c	3.60731152420593
b	0.245942765681933

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 3.60731152420593 \tabularnewline
b & 0.245942765681933 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56011&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]3.60731152420593[/C][/ROW]
[ROW][C]b[/C][C]0.245942765681933[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56011&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56011&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	3.60731152420593
b	0.245942765681933

Descriptive Statistics about e[t]
# observations	81
minimum	-0.559110027395012
Q1	-0.317811712413231
median	0.0314889559639195
mean	-6.7863024870389e-19
Q3	0.211888795907303
maximum	1.00989114930267

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 81 \tabularnewline
minimum & -0.559110027395012 \tabularnewline
Q1 & -0.317811712413231 \tabularnewline
median & 0.0314889559639195 \tabularnewline
mean & -6.7863024870389e-19 \tabularnewline
Q3 & 0.211888795907303 \tabularnewline
maximum & 1.00989114930267 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56011&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]81[/C][/ROW]
[ROW][C]minimum[/C][C]-0.559110027395012[/C][/ROW]
[ROW][C]Q1[/C][C]-0.317811712413231[/C][/ROW]
[ROW][C]median[/C][C]0.0314889559639195[/C][/ROW]
[ROW][C]mean[/C][C]-6.7863024870389e-19[/C][/ROW]
[ROW][C]Q3[/C][C]0.211888795907303[/C][/ROW]
[ROW][C]maximum[/C][C]1.00989114930267[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56011&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56011&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	81
minimum	-0.559110027395012
Q1	-0.317811712413231
median	0.0314889559639195
mean	-6.7863024870389e-19
Q3	0.211888795907303
maximum	1.00989114930267

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