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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 computationMon, 22 Dec 2008 13:04:15 -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/2008/Dec/22/t1229976299rim01jcdghy3z7m.htm/, Retrieved Mon, 13 May 2024 14:33:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36197, Retrieved Mon, 13 May 2024 14:33:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177

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] [RSP 'Bivariate' -...] [2008-12-20 14:05:52] [33f4701c7363e8b81858dafbf0350eed]
-    D      [Bivariate Data Series] [RSP 'Bivariate' -...] [2008-12-22 20:04:15] [9d7d6e0b01d5647e3f5dd21d8ef8600e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.1
100.7
100
100
100.8
101.9
102.7
103.1
103.5
103.9
104.4
105.2
106
107
108.2
109
109.1
109.3
110.1
110.7
110.8
110.7
110.9
111.3
111.6
111.8
112.1
112.3
112.5
113
113.6
114.4
114.9
115.2
116
117
118
119.4
121.1
123.1
125
126.3
127.4
129
131
133.3
135.9
138.4
140.3
141.7
143.1
144.5
146
147.7
149
149.7
150.2
150.5
150.7
150.9
Dataseries Y:
Download CSV
Histogram 
103
102.4
102
101.8
101.6
101.4
101.3
101.4
101.7
102.4
103.1
103.8
104.4
105
105.7
106.4
107.1
107.9
108.8
109.6
110.3
110.8
111.2
111.7
112.3
112.8
113.1
113.1
113.1
113.2
113.1
112.8
112.5
112.3
112.5
112.9
113.5
114.1
114.6
114.9
115.4
115.7
116.1
116.5
117.1
117.5
117.7
117.7
117.7
117.6
117.5
117.6
117.9
118.2
118.5
118.7
118.8
118.9
119
119

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36197&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36197&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36197&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Bivariate Dataseries
Name of dataseries xMachines vervaardigt uit metaal
Source of xwww.belgostat.be
Description of x2003 - 2007
Name of dataseries yTransportmiddelen vervaardigt uit metaal
Source of ywww.belgostat.be
Description of y2003 - 2007
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Machines vervaardigt uit metaal \tabularnewline
Source of x & www.belgostat.be \tabularnewline
Description of x & 2003 - 2007 \tabularnewline
Name of dataseries y & Transportmiddelen vervaardigt uit metaal \tabularnewline
Source of y & www.belgostat.be \tabularnewline
Description of y & 2003 - 2007 \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36197&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Machines vervaardigt uit metaal[/C][/ROW]
[ROW][C]Source of x[/C][C]www.belgostat.be[/C][/ROW]
[ROW][C]Description of x[/C][C]2003 - 2007[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Transportmiddelen vervaardigt uit metaal[/C][/ROW]
[ROW][C]Source of y[/C][C]www.belgostat.be[/C][/ROW]
[ROW][C]Description of y[/C][C]2003 - 2007[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36197&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36197&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 xMachines vervaardigt uit metaal
Source of xwww.belgostat.be
Description of x2003 - 2007
Name of dataseries yTransportmiddelen vervaardigt uit metaal
Source of ywww.belgostat.be
Description of y2003 - 2007
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Machines vervaardigt uit metaal ; par2 = www.belgostat.be ; par3 = 2003 - 2007 ; par4 = Transportmiddelen vervaardigt uit metaal ; par5 = www.belgostat.be ; par6 = 2003 - 2007 ;
Parameters (R input):
par1 = Machines vervaardigt uit metaal ; par2 = www.belgostat.be ; par3 = 2003 - 2007 ; par4 = Transportmiddelen vervaardigt uit metaal ; par5 = www.belgostat.be ; par6 = 2003 - 2007 ;
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')