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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 18:49:24 +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/t12899332724j1p4psga6emnjc.htm/, Retrieved Sun, 05 May 2024 06:47:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96264, Retrieved Sun, 05 May 2024 06:47:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-19 12:03:37] [74be16979710d4c4e7c6647856088456]
- RMPD  [Histogram] [ws 6 histogram] [2010-11-15 22:09:04] [eeb33d252044f8583501f5ba0605ad6d]
-    D    [Histogram] [] [2010-11-16 18:08:54] [b5270422961e5ddcdd8e2d3f0ce86384]
- RMPD        [Bivariate Data Series] [WS 6 tutorial bivar] [2010-11-16 18:49:24] [6df2229e3f2091de42c4a9cf9a617420] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1
4
5
2
1
1
2
1
1
1
3
1
1
1
2
4
1
1
1
2
3
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
4
1
1
4
2
2
1
1
2
1
1
1
1
1
1
2
1
1
1
2
1
2
4
1
1
1
2
3
1
1
1
1
1
1
1
4
1
1
2
1
1
1
1
1
1
1
1
2
1
1
1
1
1
2
1
5
1
1
1
2
1
3
1
1
1
3
1
1
1
1
1
1
2
2
4
4
1
1
1
1
4
1
1
1
1
3
1
1
1
4
4
1
2
1
2
1
3
2
2
1
1
2
1
2
2
1
1
2
1
2
1
1
1
1
1
1
1
1
Dataseries Y:
Download CSV
Histogram 
3
1
1
1
1
3
1
1
3
3
1
2
3
4
4
1
1
4
1
1
1
4
1
1
3
2
1
3
1
1
3
1
3
1
1
1
1
2
5
2
2
2
1
4
1
1
1
1
3
1
2
2
1
1
2
3
2
1
1
1
1
1
1
1
2
1
3
2
3
2
2
2
1
4
1
1
1
1
2
2
3
3
3
3
1
1
1
1
1
3
1
1
1
3
3
3
1
2
2
3
1
2
4
1
1
2
3
2
1
4
1
3
1
1
1
1
2
2
4
2
1
1
1
2
4
3
1
2
2
1
2
1
2
1
1
2
1
1
3
3
4
4
4
5
2
3
3
3
2
1
2
1
3
1
5
1
1
4
3
1

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=96264&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=96264&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96264&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
Source of x
Description of x
Name of dataseries y
Source of y
Description of y
Number of observations160

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x &  \tabularnewline
Source of x &  \tabularnewline
Description of x &  \tabularnewline
Name of dataseries y &  \tabularnewline
Source of y &  \tabularnewline
Description of y &  \tabularnewline
Number of observations & 160 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96264&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C][/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C][/C][/ROW]
[ROW][C]Name of dataseries y[/C][C][/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]160[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96264&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96264&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
Source of x
Description of x
Name of dataseries y
Source of y
Description of y
Number of observations160


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = ; par2 = ; par3 = ; par4 = ; 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')