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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, 15 Nov 2011 06:08:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t1321355303m3ll9qu8fmnqw28.htm/, Retrieved Thu, 25 Apr 2024 01:29:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142725, Retrieved Thu, 25 Apr 2024 01:29:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

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]
- RMPD    [Bivariate Data Series] [brandverzekering] [2011-11-15 11:08:11] [89a94f030b332f6008ade04d76806a4c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.1
1.7
8
5
6
4.8
3.8
2.7
1
8.4
6.1
4.8
2.2
0.6
2.8
7.4
6.3
2.3
1.1
3.4
6.1
2.9
1.9
0.6
7.2
1.6
2.5
3.5
4
0.9
1.7
8.9
5.2
3.6
0.7
1.4
3.7
4.8
5.6
6.2
1.4
1.8
8.6
7.2
2.7
2.9
3.6
1.7
0.5
0.4
7.4
6.2
5.8
4.1
3.6
8.4
2.8
9
2.9
4.1
Dataseries Y:
Download CSV
Histogram 
24.3
19
37.2
27.3
21.5
19.2
16.8
14.9
18.2
34.8
29.6
25.3
17.5
13.7
17.9
24.8
25.3
21.7
13.8
17.2
26.7
17.9
15.8
16.3
26.8
17.8
17.2
18.3
16.9
11.9
13.8
27.9
21.4
18.6
12.6
14.2
19.6
18.9
26.4
31.1
16.2
18.9
35.8
24.2
18.2
19.6
22.8
12
9
11
34.3
27.3
24.8
21
17.2
30
14
38.9
14.1
19.9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142725&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142725&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142725&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Bivariate Dataseries
Name of dataseries xafstand
Source of xwww.ico.org
Description of xPrices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Name of dataseries ybedrag
Source of ywww.ico.org
Description of yRetail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & afstand \tabularnewline
Source of x & www.ico.org \tabularnewline
Description of x & Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) \tabularnewline
Name of dataseries y & bedrag \tabularnewline
Source of y & www.ico.org \tabularnewline
Description of y & Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142725&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]afstand[/C][/ROW]
[ROW][C]Source of x[/C][C]www.ico.org[/C][/ROW]
[ROW][C]Description of x[/C][C]Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]bedrag[/C][/ROW]
[ROW][C]Source of y[/C][C]www.ico.org[/C][/ROW]
[ROW][C]Description of y[/C][C]Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142725&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142725&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 xafstand
Source of xwww.ico.org
Description of xPrices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Name of dataseries ybedrag
Source of ywww.ico.org
Description of yRetail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = 4 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = afstand ; par2 = www.ico.org ; par3 = Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ; par4 = bedrag ; par5 = www.ico.org ; par6 = Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ;
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')