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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, 04 Nov 2009 11:01:26 -0700
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/Nov/04/t1257357814eb6mtjna6mq8r5g.htm/, Retrieved Mon, 29 Apr 2024 11:00:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53770, Retrieved Mon, 29 Apr 2024 11:00:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Bivariate Explorative Data Analysis] [WS5] [2009-11-03 17:19:04] [eea7474c6df699240a34279975905c82]
-    D  [Bivariate Explorative Data Analysis] [reeks X t.o.v Z] [2009-11-04 17:42:17] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D    [Bivariate Explorative Data Analysis] [reeks Y t.o.v. Z] [2009-11-04 17:45:28] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D      [Bivariate Explorative Data Analysis] [e(t) t.o.v. e'(t)] [2009-11-04 17:48:40] [cd6314e7e707a6546bd4604c9d1f2b69]
-   PD          [Bivariate Explorative Data Analysis] [e(t) t.o.v. e'(t)] [2009-11-04 18:01:26] [ea241b681aafed79da4b5b99fad98471] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,78810564
0,78810564
0,67709631
0,17709631
0,27709631
0,71096141
0,81096141
0,71096141
0,24087770
0,14087770
-0,05912230
0,53457538
0,63457538
0,63457538
0,15818935
0,05818935
0,15818935
0,76213817
0,76213817
0,66213817
1,00860791
0,80860791
0,50860791
0,87869162
0,77869162
0,77869162
0,48734744
0,38734744
0,38734744
0,74247301
0,74247301
0,64247301
0,97633811
0,67633811
0,17633811
-0,01265256
-0,21265256
-0,51265256
-0,04492235
-0,04492235
0,15507765
0,14877533
-0,05122467
-0,35122467
-0,32601540
-0,62601540
-0,22601540
-0,42920601
-0,22920601
-0,62920601
-0,10240143
-0,40240143
-0,10240143
-0,04651766
0,25348234
0,25348234
0,10230559
-0,29769441
-0,19769441
0,50230559
0,70230559
Dataseries Y:
Download CSV
Histogram 
0,32855368
0,42855368
0,39703020
0,19703020
0,29703020
0,67325811
0,67325811
0,67325811
0,24509236
0,24509236
-0,15490764
0,16498877
0,16498877
0,26498877
0,15671943
0,15671943
0,35671943
0,86111308
0,96111308
0,96111308
1,29754817
0,99754817
0,39754817
0,12571391
-0,17428609
-0,07428609
-0,01847255
0,08152745
0,18152745
0,47377607
0,37377607
0,17377607
0,45000397
0,25000397
-0,14999603
-0,21847255
-0,31847255
-0,51847255
-0,26601675
-0,36601675
-0,06601675
0,15387966
0,15387966
-0,24612034
-0,22570597
-0,52570597
-0,22570597
-0,18307339
-0,08307339
-0,48307339
-0,43397531
-0,73397531
-0,33397531
0,00529954
0,60529954
0,80529954
0,71744457
0,41744457
0,51744457
1,01744457
1,11744457

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=53770&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=53770&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53770&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]
c0.0137225318191390
b0.703957764590522

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 0.0137225318191390 \tabularnewline
b & 0.703957764590522 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53770&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]0.0137225318191390[/C][/ROW]
[ROW][C]b[/C][C]0.703957764590522[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53770&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53770&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]
c0.0137225318191390
b0.703957764590522






Descriptive Statistics about e[t]
# observations61
minimum-0.736174633939712
Q1-0.225052251329068
median-0.053861465552617
mean-1.73472347597681e-17
Q30.159048773287135
maximum0.650120117903138

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 61 \tabularnewline
minimum & -0.736174633939712 \tabularnewline
Q1 & -0.225052251329068 \tabularnewline
median & -0.053861465552617 \tabularnewline
mean & -1.73472347597681e-17 \tabularnewline
Q3 & 0.159048773287135 \tabularnewline
maximum & 0.650120117903138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53770&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-0.736174633939712[/C][/ROW]
[ROW][C]Q1[/C][C]-0.225052251329068[/C][/ROW]
[ROW][C]median[/C][C]-0.053861465552617[/C][/ROW]
[ROW][C]mean[/C][C]-1.73472347597681e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.159048773287135[/C][/ROW]
[ROW][C]maximum[/C][C]0.650120117903138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53770&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53770&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]
# observations61
minimum-0.736174633939712
Q1-0.225052251329068
median-0.053861465552617
mean-1.73472347597681e-17
Q30.159048773287135
maximum0.650120117903138


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
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')