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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edabi.wasp
Title produced by softwareBivariate Explorative Data Analysis
Date of computationWed, 28 Oct 2009 13:03:20 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/28/t1256756745nv3yprj60g91qpx.htm/, Retrieved Mon, 06 May 2024 03:17:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51743, Retrieved Mon, 06 May 2024 03:17:10 +0000
QR Codes:

Original text written by user:WS 4 Question 2b
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

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] [WS 4 y(t) = c + b...] [2009-10-28 17:48:59] [101f710c1bf3d900563184d79f7da6e1]
- RMP     [Kendall tau Rank Correlation] [WS 4 y(t) = c + b...] [2009-10-28 18:25:35] [101f710c1bf3d900563184d79f7da6e1]
- RMPD      [Bivariate Explorative Data Analysis] [WS 4 y(t) = c + b...] [2009-10-28 18:38:05] [101f710c1bf3d900563184d79f7da6e1]
F    D          [Bivariate Explorative Data Analysis] [WS 4 y(t) = c + b...] [2009-10-28 19:03:20] [9b6f46453e60f88d91cef176fe926003] [Current]
-    D            [Bivariate Explorative Data Analysis] [WS 4 y(t) = c + b...] [2009-10-28 19:16:20] [101f710c1bf3d900563184d79f7da6e1]
Feedback Forum
2009-11-01 10:40:13 [Mathias Danneel] [reply] 
Vergeet niet indien uw data decimaal is, dit decimaalteken te noteren met een punt. In uw databox van X(t) zijn deze ingevoegd met een ','.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,694627181
2,687847494
2,772588722
2,734367509
2,708050201
2,740840024
2,714694744
2,459588842
2,791165108
2,815408719
2,708050201
2,701361213
2,681021529
2,727852828
2,884800713
2,797281335
2,734367509
2,884800713
2,766319109
2,63188884
2,879198457
2,884800713
2,856470206
2,815408719
2,772588722
2,809402695
2,949688335
2,879198457
2,844909384
2,923161581
2,791165108
2,714694744
2,954910279
2,87356464
2,949688335
2,890371758
2,862200881
2,879198457
3,04927304
2,844909384
2,965273066
2,985681938
2,867898902
2,785011242
2,970414466
2,990719732
2,995732274
2,850706502
2,939161922
2,923161581
3,063390922
2,923161581
2,985681938
3,034952987
2,975529566
2,87356464
2,985681938
3,100092289
3,0301337
2,884800713
3,039749159
3,054001182
3,063390922
3,135494216
3,058707073
3,173878459
3,109060959
2,90690106
3,126760536
3,104586678
2,879198457
2,797281335
2,772588722
2,797281335
2,87356464
2,809402695
2,785011242
2,90690106
Dataseries Y:
Download CSV
Histogram 
14.5
14.3
15.3
14.4
13.7
14.2
13.5
11.9
14.6
15.6
14.1
14.9
14.2
14.6
17.2
15.4
14.3
17.5
14.5
14.4
16.6
16.7
16.6
16.9
15.7
16.4
18.4
16.9
16.5
18.3
15.1
15.7
18.1
16.8
18.9
19
18.1
17.8
21.5
17.1
18.7
19
16.4
16.9
18.6
19.3
19.4
17.6
18.6
18.1
20.4
18.1
19.6
19.9
19.2
17.8
19.2
22
21.1
19.5
22.2
20.9
22.2
23.5
21.5
24.3
22.8
20.3
23.7
23.3
19.6
18
17.3
16.8
18.2
16.5
16
18.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51743&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51743&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51743&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Model: Y[t] = c + b X[t] + e[t]
c-37.2441636764367
b19.1024383500031

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -37.2441636764367 \tabularnewline
b & 19.1024383500031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51743&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-37.2441636764367[/C][/ROW]
[ROW][C]b[/C][C]19.1024383500031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51743&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51743&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Model: Y[t] = c + b X[t] + e[t]
c-37.2441636764367
b19.1024383500031






Descriptive Statistics about e[t]
# observations78
minimum-1.47389572381302
Q1-0.701502485406279
median-0.192173550240453
mean1.52170554913911e-18
Q30.549448633069563
maximum2.16001945577620

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 78 \tabularnewline
minimum & -1.47389572381302 \tabularnewline
Q1 & -0.701502485406279 \tabularnewline
median & -0.192173550240453 \tabularnewline
mean & 1.52170554913911e-18 \tabularnewline
Q3 & 0.549448633069563 \tabularnewline
maximum & 2.16001945577620 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51743&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]78[/C][/ROW]
[ROW][C]minimum[/C][C]-1.47389572381302[/C][/ROW]
[ROW][C]Q1[/C][C]-0.701502485406279[/C][/ROW]
[ROW][C]median[/C][C]-0.192173550240453[/C][/ROW]
[ROW][C]mean[/C][C]1.52170554913911e-18[/C][/ROW]
[ROW][C]Q3[/C][C]0.549448633069563[/C][/ROW]
[ROW][C]maximum[/C][C]2.16001945577620[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51743&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51743&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Descriptive Statistics about e[t]
# observations78
minimum-1.47389572381302
Q1-0.701502485406279
median-0.192173550240453
mean1.52170554913911e-18
Q30.549448633069563
maximum2.16001945577620


Figures (Output of Computation)

Input Parameters & R Code

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')