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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 11:18:43 -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/t1257272388arvf93eds1aqwjw.htm/, Retrieved Wed, 01 May 2024 20:18:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53291, Retrieved Wed, 01 May 2024 20:18:03 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

ws4eersteformuleyenet

Estimated Impact

200

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

-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Bivariate Explorative Data Analysis] [WS3Part1-EDA] [2009-10-27 11:32:51] [90f6d58d515a4caed6fb4b8be4e11eaa]
-    D    [Bivariate Explorative Data Analysis] [] [2009-10-27 19:38:29] [90f6d58d515a4caed6fb4b8be4e11eaa]
-    D      [Bivariate Explorative Data Analysis] [] [2009-10-28 14:38:29] [90f6d58d515a4caed6fb4b8be4e11eaa]
-  M D          [Bivariate Explorative Data Analysis] [] [2009-11-03 18:18:43] [2b548c9d2e9bba6e1eaf65bd4d551f41] [Current]

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Dataseries X:

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Histogram

Boxplots

0,7538
0,8211
0,5681
0,3028
0,3375
0,5538
0,6028
0,6844
0,3191
0,3028
-0,0319
0,3681
0,4007
0,5170
0,4864
0,5028
0,7844
0,9844
1,0844
0,9864
1,0517
0,7844
0,1354
-0,2809
-0,5972
-0,5625
-0,3952
-0,2462
-0,1299
-0,0952
-0,1789
-0,3789
-0,2789
-0,5605
-0,9605
-0,6605
-0,7768
-0,9442
-0,9136
-0,8993
-0,5666
-0,2013
-0,1850
-0,4544
-0,8034
-0,9401
-0,5259
0,5905
0,6088
0,2252
-0,6891
-1,2503
-0,9319
-0,1299
0,4375
0,4252
0,2416
-0,2054
-0,2360
0,1498

Dataseries Y:

Download CSV

Histogram

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 5 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53291&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53291&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	5 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Model: Y[t] = c + b X[t] + e[t]
c	7.17165833336946
b	0.99999566455164

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 7.17165833336946 \tabularnewline
b & 0.99999566455164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53291&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]7.17165833336946[/C][/ROW]
[ROW][C]b[/C][C]0.99999566455164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53291&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	7.17165833336946
b	0.99999566455164

Descriptive Statistics about e[t]
# observations	60
minimum	-0.562155773287206
Q1	-0.06013067368028
median	0.0255429794043012
mean	8.29414661951411e-19
Q3	0.107240132315364
maximum	0.678542316080702

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.562155773287206 \tabularnewline
Q1 & -0.06013067368028 \tabularnewline
median & 0.0255429794043012 \tabularnewline
mean & 8.29414661951411e-19 \tabularnewline
Q3 & 0.107240132315364 \tabularnewline
maximum & 0.678542316080702 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53291&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]-0.562155773287206[/C][/ROW]
[ROW][C]Q1[/C][C]-0.06013067368028[/C][/ROW]
[ROW][C]median[/C][C]0.0255429794043012[/C][/ROW]
[ROW][C]mean[/C][C]8.29414661951411e-19[/C][/ROW]
[ROW][C]Q3[/C][C]0.107240132315364[/C][/ROW]
[ROW][C]maximum[/C][C]0.678542316080702[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53291&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53291&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	-0.562155773287206
Q1	-0.06013067368028
median	0.0255429794043012
mean	8.29414661951411e-19
Q3	0.107240132315364
maximum	0.678542316080702

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

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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