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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 computationTue, 16 Nov 2010 19:47:52 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/16/t1289936789gmaewagd0cjlpz7.htm/, Retrieved Sun, 05 May 2024 03:09:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96341, Retrieved Sun, 05 May 2024 03:09:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

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]
-  MPD    [Bivariate Data Series] [mini tutorial] [2010-11-16 19:47:52] [09489ba95453d3f5c9e6f2eaeda915af] [Current]
- RMPD      [Central Tendency] [uitvoer] [2010-11-16 19:56:02] [bd591a1ebb67d263a02e7adae3fa1a4d]
- RMPD      [Central Tendency] [totale productie ...] [2010-11-16 19:58:46] [bd591a1ebb67d263a02e7adae3fa1a4d]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14544,5
15116,3
17413,2
16181,5
15607,4
17160,9
14915,8
13768
17487,5
16198,1
17535,2
16571,8
16198,9
16554,2
19554,2
15903,8
18003,8
18329,6
16260,7
14851,9
18174,1
18406,6
18466,5
16016,5
17428,5
17167,2
19630
17183,6
18344,7
19301,4
18147,5
16192,9
18374,4
20515,2
18957,2
16471,5
18746,8
19009,5
19211,2
20547,7
19325,8
20605,5
20056,9
16141,4
20359,8
19711,6
15638,6
14384,5
13855,6
14308,3
15290,6
14423,8
13779,7
15686,3
14733,8
12522,5
16189,4
16059,1
16007,1
15806,8
15160
15692,1
18908,9
16969,9
16997,5
19858,9
17681,2
16006,9
Dataseries Y:
Download CSV
Histogram 
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
91
93,2
103,1
94,1
91,8
102,7
82,6
89,1
104,5
105,1
95,1
88,7
86,3
91,8
111,5
99,7
97,5
111,7
86,2
95,4

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96341&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96341&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96341&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Bivariate Dataseries
Name of dataseries xtotale uitvoer
Source of xNBB
Description of x
Name of dataseries ytotale productie in België
Source of yNBB
Description of yindex 2000 = 100
Number of observations68

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & totale uitvoer \tabularnewline
Source of x & NBB \tabularnewline
Description of x &  \tabularnewline
Name of dataseries y & totale productie in België \tabularnewline
Source of y & NBB \tabularnewline
Description of y & index 2000 = 100 \tabularnewline
Number of observations & 68 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96341&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]totale uitvoer[/C][/ROW]
[ROW][C]Source of x[/C][C]NBB[/C][/ROW]
[ROW][C]Description of x[/C][C][/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]totale productie in België[/C][/ROW]
[ROW][C]Source of y[/C][C]NBB[/C][/ROW]
[ROW][C]Description of y[/C][C]index 2000 = 100[/C][/ROW]
[ROW][C]Number of observations[/C][C]68[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96341&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96341&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 xtotale uitvoer
Source of xNBB
Description of x
Name of dataseries ytotale productie in België
Source of yNBB
Description of yindex 2000 = 100
Number of observations68


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = totale uitvoer ; par2 = NBB ; par4 = totale productie in België ; par5 = NBB ; par6 = index 2000 = 100 ;
Parameters (R input):
par1 = totale uitvoer ; par2 = NBB ; par3 = ; par4 = totale productie in België ; par5 = NBB ; par6 = index 2000 = 100 ;
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')