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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, 28 Oct 2009 13:57:52 -0600
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/Oct/28/t1256759995ya10l4izkx4e903.htm/, Retrieved Mon, 06 May 2024 01:21:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51797, Retrieved Mon, 06 May 2024 01:21:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

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]
-   PD    [Bivariate Data Series] [Workshop 4] [2009-10-28 19:57:52] [ee8fc1691ecec7724e0ca78f0c288737] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
83.2
84.9
83
79.6
83.2
83.8
82.8
71.4
Dataseries Y:
Download CSV
Histogram 
122.6
115.4
109
129.1
102.8
96.2
127.7
128.9
126.5
119.8
113.2
114.1
134.1
130
121.8
132.1
105.3
103
117.1
126.3
138.1
119.5
138
135.5
178.6
162.2
176.9
204.9
132.2
142.5
164.3
174.9
175.4
143
158.7
155.4

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'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=51797&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=51797&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51797&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'Gwilym Jenkins' @ 72.249.127.135






Bivariate Dataseries
Name of dataseries x - Industriële productie: Bruto index (2000=100) - Metallurgie en producten van metaal (27-28)
Source of xhttp://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null
Description of xproductie
Name of dataseries y - Omzetcijfer volgens BTW - Totale industrie (indexcijfers jaar 2000 = 100), Bewerkende industrie, metallurgie en producten van metaal -
Source of yhttp://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null
Description of yomzet
Number of observations61

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x &  - Industriële productie: Bruto index (2000=100) - Metallurgie en producten van metaal (27-28) \tabularnewline
Source of x & http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null \tabularnewline
Description of x & productie \tabularnewline
Name of dataseries y &  - Omzetcijfer volgens BTW - Totale industrie (indexcijfers jaar 2000 = 100), Bewerkende industrie, metallurgie en producten van metaal - \tabularnewline
Source of y & http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null \tabularnewline
Description of y & omzet \tabularnewline
Number of observations & 61 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51797&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C] - Industriële productie: Bruto index (2000=100) - Metallurgie en producten van metaal (27-28)[/C][/ROW]
[ROW][C]Source of x[/C][C]http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null[/C][/ROW]
[ROW][C]Description of x[/C][C]productie[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C] - Omzetcijfer volgens BTW - Totale industrie (indexcijfers jaar 2000 = 100), Bewerkende industrie, metallurgie en producten van metaal -[/C][/ROW]
[ROW][C]Source of y[/C][C]http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null[/C][/ROW]
[ROW][C]Description of y[/C][C]omzet[/C][/ROW]
[ROW][C]Number of observations[/C][C]61[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51797&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51797&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 x - Industriële productie: Bruto index (2000=100) - Metallurgie en producten van metaal (27-28)
Source of xhttp://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null
Description of xproductie
Name of dataseries y - Omzetcijfer volgens BTW - Totale industrie (indexcijfers jaar 2000 = 100), Bewerkende industrie, metallurgie en producten van metaal -
Source of yhttp://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null
Description of yomzet
Number of observations61


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = - Industriële productie: Bruto index (2000=100) - Metallurgie en producten van metaal (27-28) ; par2 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null ; par3 = productie ; par4 = - Omzetcijfer volgens BTW - Totale industrie (indexcijfers jaar 2000 = 100), Bewerkende industrie, metallurgie en producten van metaal - ; par5 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null ; par6 = omzet ;
Parameters (R input):
par1 = - Industriële productie: Bruto index (2000=100) - Metallurgie en producten van metaal (27-28) ; par2 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null ; par3 = productie ; par4 = - Omzetcijfer volgens BTW - Totale industrie (indexcijfers jaar 2000 = 100), Bewerkende industrie, metallurgie en producten van metaal - ; par5 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&prop=null ; par6 = omzet ;
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')