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Author*The author of this computation has been verified*
R Software Modulerwasp_bidataseries.wasp
Title produced by softwareBivariate Data Series
Date of computationThu, 10 Dec 2009 11:14:31 -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/10/t12604689173lxr5gry5te0ako.htm/, Retrieved Thu, 28 Mar 2024 14:58:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=65677, Retrieved Thu, 28 Mar 2024 14:58:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117
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] [WS10] [2009-12-10 18:14:31] [557d56ec4b06cd0135c259898de8ce95] [Current]
-   PD      [Bivariate Data Series] [WS 10] [2009-12-11 11:20:11] [af8eb90b4bf1bcfcc4325c143dbee260]
-   PD      [Bivariate Data Series] [ws10] [2009-12-11 11:25:25] [95cead3ebb75668735f848316249436a]
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Dataseries X:
9904,642857
13710,15385
13747,69231
14517
15185,81818
11422,28571
13819,66667
12749
16217
13238
12391
14780,09091
10815,42857
14770,84615
11831
11931,3125
10611,94118
15923,18182
11094,875
16209,53846
10100
12149,6875
11644,35294
9249,947368
8980,777778
10244,52632
12457,5625
13307,46667
10839,625
11827,625
10925,94118
10675,3
9297,3
10433,21053
12261,41176
10911,22222
9334,421053
11655,05882
11080
9840,142857
7448,916667
8362,6
8465,64
8220,923077
10432,86364
8537,4
8535,464286
7997,464286
6301,413793
7595,566667
7200,483871
6152,482759
6064,259259
7269,909091
6578,44
7708,26087
6401,153846
7042,043478
8296,409091
9613,333333
Dataseries Y:
10284,5
12792
12823,61538
13845,66667
15335,63636
11188,5
13633,25
12298,46667
15353,63636
12696,15385
12213,93333
13683,72727
11214,14286
13950,23077
11179,13333
11801,875
11188,82353
16456,27273
11110,0625
16530,69231
10038,41176
11681,25
11148,88235
8631
9386,444444
9764,736842
12043,75
12948,06667
10987,125
11648,3125
10633,35294
10219,3
9037,6
10296,31579
11705,41176
10681,94444
9362,947368
11306,35294
10984,45
10062,61905
8118,583333
8867,48
8346,72
8529,307692
10697,18182
8591,84
8695,607143
8125,571429
7009,758621
7883,466667
7527,645161
6763,758621
6682,333333
7855,681818
6738,88
7895,434783
6361,884615
6935,956522
8344,454545
9107,944444




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=65677&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=65677&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65677&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 xuitvoer/inflatie
Source of xbelgostat
Description of xtotale uitvoer van België uitgezuiverd van inflatie
Name of dataseries yinvoer/inflatie
Source of ybelgostat
Description of yTotale invoer van België uitgezuiverd van inflatie
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & uitvoer/inflatie \tabularnewline
Source of x & belgostat \tabularnewline
Description of x & totale uitvoer van België uitgezuiverd van inflatie \tabularnewline
Name of dataseries y & invoer/inflatie \tabularnewline
Source of y & belgostat \tabularnewline
Description of y & Totale invoer van België uitgezuiverd van inflatie \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65677&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]uitvoer/inflatie[/C][/ROW]
[ROW][C]Source of x[/C][C]belgostat[/C][/ROW]
[ROW][C]Description of x[/C][C]totale uitvoer van België uitgezuiverd van inflatie[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]invoer/inflatie[/C][/ROW]
[ROW][C]Source of y[/C][C]belgostat[/C][/ROW]
[ROW][C]Description of y[/C][C]Totale invoer van België uitgezuiverd van inflatie[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=65677&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65677&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 xuitvoer/inflatie
Source of xbelgostat
Description of xtotale uitvoer van België uitgezuiverd van inflatie
Name of dataseries yinvoer/inflatie
Source of ybelgostat
Description of yTotale invoer van België uitgezuiverd van inflatie
Number of observations60



Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ; par5 = 1 ; par6 = 0 ; par7 = 0 ; par8 = 3 ;
Parameters (R input):
par1 = uitvoer/inflatie ; par2 = belgostat ; par3 = totale uitvoer van België uitgezuiverd van inflatie ; par4 = invoer/inflatie ; par5 = belgostat ; par6 = Totale invoer van België uitgezuiverd van inflatie ;
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')