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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, 09 Dec 2009 01:47:18 -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/Dec/09/t12603485003cv8j0eqwx10hj2.htm/, Retrieved Mon, 29 Apr 2024 12:15:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64891, Retrieved Mon, 29 Apr 2024 12:15:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
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] [prijsindex gronds...] [2009-12-09 08:47:18] [5c2088b06970f9a7d6fea063ee8d5871] [Current]
- R  D      [Bivariate Data Series] [] [2009-12-11 22:47:11] [859f65298c93b90426725427c75f8582]
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Dataseries X:
2.0
0.6
0.9
1.0
1.2
1.5
1.8
2.3
2.7
3.1
3.7
4.5
5.8
7.0
7.9
8.5
8.7
8.7
8.5
8.3
8.3
8.7
8.5
7.6
6.5
5.6
4.5
4.2
4.1
4.0
4.1
4.3
4.0
3.5
3.2
3.2
3.2
3.0
3.0
2.4
2.3
1.7
1.5
1.1
0.8
1.0
1.5
1.9
1.8
1.9
1.7
1.8
1.6
2.2
2.2
2.3
2.3
2.2
2.5
2.1
Dataseries Y:
226.9
235.9
216.2
226.2
198.3
176.7
166.2
157.6
163.4
159.7
191.0
239.4
321.9
362.7
413.6
407.1
383.2
347.7
333.8
312.3
295.4
283.3
287.6
265.7
250.2
234.7
244.0
231.2
223.8
223.5
210.5
201.6
190.7
207.5
198.8
196.6
204.2
227.4
229.7
217.9
221.4
216.3
197.0
193.8
196.8
180.5
174.8
181.6
190.0
190.6
179.0
174.1
161.1
168.6
169.4
152.2
148.3
137.7
145.0
153.4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64891&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64891&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64891&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Bivariate Dataseries
Name of dataseries xBewerkte levensmiddelen
Source of x
Description of x
Name of dataseries yPrijsindex van de grondstoffen
Source of y
Description of y
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Bewerkte levensmiddelen \tabularnewline
Source of x &  \tabularnewline
Description of x &  \tabularnewline
Name of dataseries y & Prijsindex van de grondstoffen \tabularnewline
Source of y &  \tabularnewline
Description of y &  \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64891&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Bewerkte levensmiddelen[/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C][/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Prijsindex van de grondstoffen[/C][/ROW]
[ROW][C]Source of y[/C][C][/C][/ROW]
[ROW][C]Description of y[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64891&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64891&T=1

As an alternative you can also use a QR Code:  

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

Bivariate Dataseries
Name of dataseries xBewerkte levensmiddelen
Source of x
Description of x
Name of dataseries yPrijsindex van de grondstoffen
Source of y
Description of y
Number of observations60



Parameters (Session):
par1 = Bewerkte levensmiddelen ; par4 = Prijsindex van de grondstoffen ;
Parameters (R input):
par1 = Bewerkte levensmiddelen ; par2 = ; par3 = ; par4 = Prijsindex van de grondstoffen ; par5 = ; par6 = ;
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')