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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidataseries.wasp
Title produced by softwareBivariate Data Series
Date of computationWed, 24 Nov 2010 16:24:18 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/24/t129061583613ckdrpdbr8brnb.htm/, Retrieved Fri, 03 May 2024 15:06:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=100386, Retrieved Fri, 03 May 2024 15:06:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190

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]
-  MPD    [Bivariate Data Series] [Run Sequence Plot...] [2010-11-24 16:24:18] [c9d5faca36bd2ada281161976df30bf1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
142.500
148.185
138.712
164.365
168.000
181.425
197.324
235.942
265.748
290.284
305.831
300.444
313.157
339.266
348.618
392.328
404.302
422.683
358.412
Dataseries Y:
Download CSV
Histogram 
462.125
466.195
375.409
387.348
358.867
397.351
396.231
452.106
489.599
515.199
488.677
467.562
458.795
484.757
480.087
526.140
524.791
535.906
475.408

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=100386&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=100386&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=100386&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Bivariate Dataseries
Name of dataseries xDiesel
Source of xhttp://www.febiac.be/public/statistics.aspx?FID=23&lang=NL
Description of xNieuw ingeschreven Diesels (91 - 09)
Name of dataseries yNieuw ingeschreven wagens
Source of yhttp://www.febiac.be/public/statistics.aspx?FID=23&lang=NL
Description of yNieuw ingeschreven wagens (91 - 09)
Number of observations19

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Diesel \tabularnewline
Source of x & http://www.febiac.be/public/statistics.aspx?FID=23&lang=NL \tabularnewline
Description of x & Nieuw ingeschreven Diesels (91 - 09) \tabularnewline
Name of dataseries y & Nieuw ingeschreven wagens \tabularnewline
Source of y & http://www.febiac.be/public/statistics.aspx?FID=23&lang=NL \tabularnewline
Description of y & Nieuw ingeschreven wagens (91 - 09) \tabularnewline
Number of observations & 19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=100386&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Diesel[/C][/ROW]
[ROW][C]Source of x[/C][C]http://www.febiac.be/public/statistics.aspx?FID=23&lang=NL[/C][/ROW]
[ROW][C]Description of x[/C][C]Nieuw ingeschreven Diesels (91 - 09)[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Nieuw ingeschreven wagens[/C][/ROW]
[ROW][C]Source of y[/C][C]http://www.febiac.be/public/statistics.aspx?FID=23&lang=NL[/C][/ROW]
[ROW][C]Description of y[/C][C]Nieuw ingeschreven wagens (91 - 09)[/C][/ROW]
[ROW][C]Number of observations[/C][C]19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=100386&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=100386&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:

Bivariate Dataseries
Name of dataseries xDiesel
Source of xhttp://www.febiac.be/public/statistics.aspx?FID=23&lang=NL
Description of xNieuw ingeschreven Diesels (91 - 09)
Name of dataseries yNieuw ingeschreven wagens
Source of yhttp://www.febiac.be/public/statistics.aspx?FID=23&lang=NL
Description of yNieuw ingeschreven wagens (91 - 09)
Number of observations19


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Diesel ; par2 = http://www.febiac.be/public/statistics.aspx?FID=23&lang=NL ; par3 = Nieuw ingeschreven Diesels (91 - 09) ; par4 = Nieuw ingeschreven wagens ; par5 = http://www.febiac.be/public/statistics.aspx?FID=23&lang=NL ; par6 = Nieuw ingeschreven wagens (91 - 09) ;
Parameters (R input):
par1 = Diesel ; par2 = http://www.febiac.be/public/statistics.aspx?FID=23&lang=NL ; par3 = Nieuw ingeschreven Diesels (91 - 09) ; par4 = Nieuw ingeschreven wagens ; par5 = http://www.febiac.be/public/statistics.aspx?FID=23&lang=NL ; par6 = Nieuw ingeschreven wagens (91 - 09) ;
R code (references can be found in the software module):
bitmap(file='test1.png')
op <- par(mfrow=c(2,2))
plot(x,type='b',main='Plot of x',xlab=xlab,ylab=ylab)
plot(y,type='b',main='Plot of y',xlab=xlab,ylab=ylab)
hist(x)
hist(y)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bivariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries x',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of x',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of x',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries y',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of y',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of y',header=TRUE)
a<-table.element(a,par6)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')