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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, 15 Nov 2010 22:26:16 +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/15/t1289859881b23v2cpupuvze38.htm/, Retrieved Sat, 27 Apr 2024 14:46:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=95135, Retrieved Sat, 27 Apr 2024 14:46:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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 - B...] [2010-11-15 19:51:27] [6f0e7a2d1a07390e3505a2db8288f975]
- R  D      [Bivariate Data Series] [mini tutorial 3 r...] [2010-11-15 22:26:16] [e926a978b40506c05812140b9c5157ab] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5
3
0
7
4
1
6
3
12
0
5
6
6
6
2
1
5
7
3
3
3
7
8
6
3
5
5
10
2
6
4
6
8
4
5
10
6
7
4
10
4
3
3
3
3
7
15
0
0
4
5
5
2
3
0
9
2
7
7
0
0
10
2
1
8
6
11
3
8
6
9
9
8
8
7
6
5
4
6
3
2
12
8
5
9
6
5
2
4
7
5
6
7
8
6
0
1
5
5
5
7
7
1
3
4
8
6
6
2
2
3
3
0
2
8
8
0
5
9
6
6
3
9
7
8
0
7
0
5
0
14
5
2
8
4
2
6
3
5
9
3
3
0
10
4
2
3
10
7
0
6
8
0
4
10
5
Dataseries Y:
Download CSV
Histogram 
13
12
15
12
10
12
15
9
12
11
11
11
15
7
11
11
10
14
10
6
11
15
11
12
14
15
9
13
13
16
13
12
14
11
9
16
12
10
13
16
14
15
5
8
11
16
17
9
9
13
10
6
12
8
14
12
11
16
8
15
7
16
14
16
9
14
11
13
15
5
15
13
11
11
12
12
12
12
14
6
7
14
14
10
13
12
9
12
16
10
14
10
16
15
12
10
8
8
11
13
16
16
14
11
4
14
9
14
8
8
11
12
11
14
15
16
16
11
14
14
12
14
8
13
16
12
16
12
11
4
16
15
10
13
15
12
14
7
19
12
12
13
15
8
12
10
8
10
15
16
13
16
9
14
14
12

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=95135&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=95135&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95135&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 xPopulariteit
Source of xwww.ico.org
Description of xPerceived popularity
Name of dataseries yObserved popularity
Source of ywww.ico.org
Description of yPerceived popularity
Number of observations156

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Populariteit \tabularnewline
Source of x & www.ico.org \tabularnewline
Description of x & Perceived popularity \tabularnewline
Name of dataseries y & Observed popularity \tabularnewline
Source of y & www.ico.org \tabularnewline
Description of y & Perceived popularity \tabularnewline
Number of observations & 156 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95135&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Populariteit[/C][/ROW]
[ROW][C]Source of x[/C][C]www.ico.org[/C][/ROW]
[ROW][C]Description of x[/C][C]Perceived popularity[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Observed popularity[/C][/ROW]
[ROW][C]Source of y[/C][C]www.ico.org[/C][/ROW]
[ROW][C]Description of y[/C][C]Perceived popularity[/C][/ROW]
[ROW][C]Number of observations[/C][C]156[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95135&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95135&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 xPopulariteit
Source of xwww.ico.org
Description of xPerceived popularity
Name of dataseries yObserved popularity
Source of ywww.ico.org
Description of yPerceived popularity
Number of observations156


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Populariteit ; par2 = www.ico.org ; par3 = Perceived popularity ; par4 = Observed popularity ; par5 = www.ico.org ; par6 = Perceived popularity ;
Parameters (R input):
par1 = Populariteit ; par2 = www.ico.org ; par3 = Perceived popularity ; par4 = Observed popularity ; par5 = www.ico.org ; par6 = Perceived popularity ;
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')