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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 computationFri, 11 Dec 2009 02:36:44 -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/11/t1260524467uq4nfxvmd3n1dsa.htm/, Retrieved Mon, 29 Apr 2024 01:56:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=65923, Retrieved Mon, 29 Apr 2024 01:56:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
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] [WS 10, Bivariate ...] [2009-12-11 09:36:44] [e31f2fa83f4a5291b9a51009566cf69b] [Current]
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Dataseries X:
93,8
93,8
107,6
101
95,4
96,5
89,2
87,1
110,5
110,8
104,2
88,9
89,8
90
93,9
91,3
87,8
99,7
73,5
79,2
96,9
95,2
95,6
89,7
92,8
88
101,1
92,7
95,8
103,8
81,8
87,1
105,9
108,1
102,6
93,7
103,5
100,6
113,3
102,4
102,1
106,9
87,3
93,1
109,1
120,3
104,9
92,6
109,8
111,4
117,9
121,6
117,8
124,2
106,8
102,7
116,8
113,6
96,1
85
Dataseries Y:
95,1
97
112,7
102,9
97,4
111,4
87,4
96,8
114,1
110,3
103,9
101,6
94,6
95,9
104,7
102,8
98,1
113,9
80,9
95,7
113,2
105,9
108,8
102,3
99
100,7
115,5
100,7
109,9
114,6
85,4
100,5
114,8
116,5
112,9
102
106
105,3
118,8
106,1
109,3
117,2
92,5
104,2
112,5
122,4
113,3
100
110,7
112,8
109,8
117,3
109,1
115,9
96
99,8
116,8
115,7
99,4
94,3




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=65923&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=65923&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65923&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 xIndustriële activiteit in de Metallurgie
Source of xwww.belgostat.be
Description of xIndustriële activiteit in de Metallurgie
Name of dataseries yTotale industriële activiteit
Source of ywww.belgostat.com
Description of yTotale Industriële Activiteit
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Industriële activiteit in de Metallurgie \tabularnewline
Source of x & www.belgostat.be \tabularnewline
Description of x & Industriële activiteit in de Metallurgie \tabularnewline
Name of dataseries y & Totale industriële activiteit \tabularnewline
Source of y & www.belgostat.com \tabularnewline
Description of y & Totale Industriële Activiteit \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65923&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Industriële activiteit in de Metallurgie[/C][/ROW]
[ROW][C]Source of x[/C][C]www.belgostat.be[/C][/ROW]
[ROW][C]Description of x[/C][C]Industriële activiteit in de Metallurgie[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Totale industriële activiteit[/C][/ROW]
[ROW][C]Source of y[/C][C]www.belgostat.com[/C][/ROW]
[ROW][C]Description of y[/C][C]Totale Industriële Activiteit[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=65923&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65923&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 xIndustriële activiteit in de Metallurgie
Source of xwww.belgostat.be
Description of xIndustriële activiteit in de Metallurgie
Name of dataseries yTotale industriële activiteit
Source of ywww.belgostat.com
Description of yTotale Industriële Activiteit
Number of observations60



Parameters (Session):
par1 = Industriële activiteit in de Metallurgie ; par2 = www.belgostat.be ; par3 = Industriële activiteit in de Metallurgie ; par4 = Totale industriële activiteit ; par5 = www.belgostat.com ; par6 = Totale Industriële Activiteit ;
Parameters (R input):
par1 = Industriële activiteit in de Metallurgie ; par2 = www.belgostat.be ; par3 = Industriële activiteit in de Metallurgie ; par4 = Totale industriële activiteit ; par5 = www.belgostat.com ; par6 = Totale Industriële Activiteit ;
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')