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Author*The author of this computation has been verified*
R Software Modulerwasp_bidataseries.wasp
Title produced by softwareBivariate Data Series
Date of computationSat, 18 Dec 2010 20:16:24 +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/Dec/18/t129270326765pazzzvklwac3k.htm/, Retrieved Tue, 30 Apr 2024 01:09:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112188, Retrieved Tue, 30 Apr 2024 01:09:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
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] [Run Sequence Plot...] [2010-12-18 20:16:24] [dfb0309aec67f282200eef05efe0d5bd] [Current]
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Dataseries X:
25
24
21
23
17
19
18
27
23
23
29
21
26
25
25
23
26
20
29
24
23
24
30
22
22
13
24
17
24
21
23
24
24
24
23
26
24
21
23
28
23
22
24
21
23
23
20
23
21
27
12
15
22
21
21
20
24
24
29
25
14
30
19
29
25
25
25
16
25
28
24
25
21
22
20
25
27
21
13
26
26
25
22
19
23
25
15
21
23
25
24
24
21
24
22
24
28
21
17
28
24
10
20
22
19
22
22
26
24
22
20
20
15
20
20
24
22
29
23
24
22
16
23
27
16
21
26
22
23
19
18
24
24
29
22
24
22
12
26
18
22
24
21
15
23
22
22
24
23
13
Dataseries Y:
13
16
19
15
14
13
19
15
14
15
16
16
16
17
15
15
20
18
16
16
19
16
17
17
16
15
14
15
12
14
16
14
7
10
14
16
16
16
14
20
14
14
11
15
16
14
16
14
12
16
9
14
16
16
15
16
12
16
16
14
16
17
18
18
12
16
10
14
18
18
16
16
16
13
16
16
20
16
15
15
16
14
15
12
17
16
15
13
16
16
16
16
14
16
16
20
15
16
13
17
16
12
16
16
17
13
12
18
14
14
13
16
13
16
13
16
15
16
15
17
15
12
16
10
16
14
15
13
15
11
12
8
16
15
17
16
10
18
13
15
16
16
14
10
17
13
15
16
12
13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112188&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112188&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112188&T=0

As an alternative you can also use a 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'George Udny Yule' @ 72.249.76.132







Bivariate Dataseries
Name of dataseries xOrganisatorisch talent
Source of x
Description of xOrganisatorisch talent van de student
Name of dataseries yLeercompetentie
Source of y
Description of yLeercompetentie van de student
Number of observations150

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Organisatorisch talent \tabularnewline
Source of x &  \tabularnewline
Description of x & Organisatorisch talent van de student \tabularnewline
Name of dataseries y & Leercompetentie \tabularnewline
Source of y &  \tabularnewline
Description of y & Leercompetentie van de student \tabularnewline
Number of observations & 150 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112188&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Organisatorisch talent[/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C]Organisatorisch talent van de student[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Leercompetentie[/C][/ROW]
[ROW][C]Source of y[/C][C][/C][/ROW]
[ROW][C]Description of y[/C][C]Leercompetentie van de student[/C][/ROW]
[ROW][C]Number of observations[/C][C]150[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112188&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112188&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Bivariate Dataseries
Name of dataseries xOrganisatorisch talent
Source of x
Description of xOrganisatorisch talent van de student
Name of dataseries yLeercompetentie
Source of y
Description of yLeercompetentie van de student
Number of observations150



Parameters (Session):
par1 = 20 ;
Parameters (R input):
par1 = Organisatorisch talent ; par2 = ; par3 = Organisatorisch talent van de student ; par4 = Leercompetentie ; par5 = ; par6 = Leercompetentie van de student ;
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')