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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 computationFri, 30 Oct 2009 10:02:45 -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/30/t1256918682etkqnhftvpfdcia.htm/, Retrieved Mon, 29 Apr 2024 01:55:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52144, Retrieved Mon, 29 Apr 2024 01:55:38 +0000
QR Codes:

Original text written by user:katrien.deroover@student.lessius.eu
IsPrivate?No (this computation is public)
User-defined keywordsWS4 deel 2 model 2 bivariate EDA
Estimated Impact151

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]
-   PD  [Bivariate Data Series] [WS4 part 1 scatte...] [2009-10-30 13:19:29] [c620fe7250af73a91c51407172a85dab]
- RMP     [Bivariate Explorative Data Analysis] [WS4 part 1] [2009-10-30 13:27:38] [c620fe7250af73a91c51407172a85dab]
-   PD        [Bivariate Explorative Data Analysis] [WS4 deel 2 model ...] [2009-10-30 16:02:45] [b4ff140915b3f24d4faed3d78f95eba4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,406945108
2,388762789
2,302585093
2,219203484
2,219203484
2,251291799
2,261763098
2,251291799
2,208274414
2,186051277
2,197224577
2,312535424
2,332143895
2,32238772
2,261763098
2,219203484
2,2300144
2,240709689
2,240709689
2,219203484
2,197224577
2,197224577
2,197224577
2,282382386
2,302585093
2,282382386
2,2300144
2,197224577
2,197224577
2,208274414
2,208274414
2,208274414
2,219203484
2,174751721
2,116255515
2,128231706
2,091864062
2,041220329
2,066862759
2,066862759
2,079441542
2,066862759
2,028148247
1,960094784
1,916922612
1,871802177
1,931521412
2,104134154
2,163323026
2,116255515
2,066862759
2,014903021
2,054123734
2,116255515
2,128231706
2,104134154
2,041220329
1,974081026
1,987874348
2,091864062
Dataseries Y:
Download CSV
Histogram 
2,079441542
2,091864062
2,041220329
2,014903021
2,028148247
2,054123734
2,054123734
2,054123734
2,014903021
2,014903021
1,960094784
2,014903021
2,014903021
2,028148247
2,041220329
2,041220329
2,066862759
2,091864062
2,104134154
2,104134154
2,104134154
2,066862759
1,987874348
1,931521412
1,887069649
1,902107526
1,931521412
1,945910149
1,960094784
1,974081026
1,960094784
1,931521412
1,945910149
1,916922612
1,85629799
1,902107526
1,887069649
1,85629799
1,840549633
1,824549292
1,871802177
1,916922612
1,916922612
1,85629799
1,808288771
1,757857918
1,808288771
1,974081026
1,987874348
1,931521412
1,808288771
1,757857918
1,824549292
1,960094784
2,041220329
2,066862759
2,041220329
2,00148
2,014903021
2,079441542

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'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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52144&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52144&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52144&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'Gwilym Jenkins' @ 72.249.127.135






Model: Y[t] = c + b X[t] + e[t]
c0.876203869885778
b0.504085013475159

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 0.876203869885778 \tabularnewline
b & 0.504085013475159 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52144&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]0.876203869885778[/C][/ROW]
[ROW][C]b[/C][C]0.504085013475159[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52144&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52144&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]
c0.876203869885778
b0.504085013475159






Descriptive Statistics about e[t]
# observations60
minimum-0.149832858518385
Q1-0.0488810774571447
median-0.00901378528846933
mean7.40419733626559e-19
Q30.0391185886056524
maximum0.148760348232750

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.149832858518385 \tabularnewline
Q1 & -0.0488810774571447 \tabularnewline
median & -0.00901378528846933 \tabularnewline
mean & 7.40419733626559e-19 \tabularnewline
Q3 & 0.0391185886056524 \tabularnewline
maximum & 0.148760348232750 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52144&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]-0.149832858518385[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0488810774571447[/C][/ROW]
[ROW][C]median[/C][C]-0.00901378528846933[/C][/ROW]
[ROW][C]mean[/C][C]7.40419733626559e-19[/C][/ROW]
[ROW][C]Q3[/C][C]0.0391185886056524[/C][/ROW]
[ROW][C]maximum[/C][C]0.148760348232750[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52144&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52144&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]
# observations60
minimum-0.149832858518385
Q1-0.0488810774571447
median-0.00901378528846933
mean7.40419733626559e-19
Q30.0391185886056524
maximum0.148760348232750


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')