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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 computationSat, 24 Oct 2009 04:48:52 -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/24/t12563814127o9kql1n1vxw38j.htm/, Retrieved Fri, 03 May 2024 13:04:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50060, Retrieved Fri, 03 May 2024 13:04:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWorkshop 4 deel 2
Estimated Impact161

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 ] [2009-10-24 10:48:52] [e7a989b306049c061a54f626f1127c12] [Current]
-   P       [Bivariate Data Series] [] [2009-10-27 17:27:24] [e0a128c302a1ec9189220a385b8da313]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.2
2.3
2.2
2
2.9
2.5
2.1
2.2
2.5
3
2.6
2.5
2.9
2.9
3.1
3.2
2.4
2.5
3
3
3
2.4
2.8
3
2.7
2.6
2.5
2.1
1.9
2.2
2.3
1.9
2
2
2
1.5
1.5
1.5
1.4
1.6
2.4
3.1
3.3
3.7
3.8
4.6
4.3
5.3
6
6.1
5.6
5.7
5
3.4
2.9
2.3
2.1
0.8
0.9
0
Dataseries Y:
Download CSV
Histogram 
130.7
117.2
110.8
111.4
108.2
108.8
110.2
109.5
109.5
116
111.2
112.1
114
119.1
114.1
115.1
115.4
110.8
116
119.2
126.5
127.8
131.3
140.3
137.3
143
134.5
139.9
159.3
170.4
175
175.8
180.9
180.3
169.6
172.3
184.8
177.7
184.6
211.4
215.3
215.9
244.7
259.3
289
310.9
321
315.1
333.2
314.1
284.7
273.9
216
196.4
190.9
206.4
196.3
199.5
198.9
214.4

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=50060&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=50060&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50060&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 xGeharmoniseerse consumptieprijsindex
Source of x
Description of xveranderingspercentages t.o.v. de overeenstemmende periode van het voorgaande jaar
Name of dataseries yPrijsindexcijfers van de grondstoffen (graan)
Source of y
Description of y
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Geharmoniseerse consumptieprijsindex \tabularnewline
Source of x &  \tabularnewline
Description of x & veranderingspercentages t.o.v. de overeenstemmende periode van het voorgaande jaar \tabularnewline
Name of dataseries y & Prijsindexcijfers van de grondstoffen (graan) \tabularnewline
Source of y &  \tabularnewline
Description of y &  \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50060&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Geharmoniseerse consumptieprijsindex[/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C]veranderingspercentages t.o.v. de overeenstemmende periode van het voorgaande jaar[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Prijsindexcijfers van de grondstoffen (graan)[/C][/ROW]
[ROW][C]Source of y[/C][C][/C][/ROW]
[ROW][C]Description of y[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50060&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50060&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 xGeharmoniseerse consumptieprijsindex
Source of x
Description of xveranderingspercentages t.o.v. de overeenstemmende periode van het voorgaande jaar
Name of dataseries yPrijsindexcijfers van de grondstoffen (graan)
Source of y
Description of y
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Geharmoniseerse consumptieprijsindex ; par3 = veranderingspercentages t.o.v. de overeenstemmende periode van het voorgaande jaar ; par4 = Prijsindexcijfers van de grondstoffen (graan) ;
Parameters (R input):
par1 = Geharmoniseerse consumptieprijsindex ; par2 = ; par3 = veranderingspercentages t.o.v. de overeenstemmende periode van het voorgaande jaar ; par4 = Prijsindexcijfers van de grondstoffen (graan) ; par5 = ; par6 = ;
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')