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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 16:43:36 +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/t12898393596hwz98cli53rweq.htm/, Retrieved Sun, 28 Apr 2024 00:38:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94914, Retrieved Sun, 28 Apr 2024 00:38:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

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 Alg...] [2010-11-15 16:43:36] [628a2d48b4bd249e4129ba023c5511b0] [Current]
-   PD      [Bivariate Data Series] [W6] [2010-11-16 14:29:07] [5ddc7dfb25e070b079c4c8fcccc4d42e]
-   PD      [Bivariate Data Series] [W6] [2010-11-16 14:29:07] [5ddc7dfb25e070b079c4c8fcccc4d42e]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
43
30
30
54
30
16
42
0
30
44
70
30
5
30
62
91
41
73
60
20
4
60
62
60
76
65
60
88
16
65
35
70
21
60
100
65
80
65
60
31
55
74
32
10
20
40
55
70
80
50
55
29
70
50
60
60
27
38
70
15
40
37
10
75
60
55
91
29
50
10
57
45
70
38
70
40
61
15
25
54
36
50
68
14
68
100
74
59
50
60
60
70
45
60
21
0
65
33
70
20
60
65
60
53
71
32
70
60
60
50
25
20
80
53
39
53
39
70
60
77
80
50
69
70
36
30
57
80
91
8
60
63
60
18
39
41
50
65
80
68
58
30
60
100
Dataseries Y:
Download CSV
Histogram 
10
20
40
67
38
61
29
0
30
39
70
65
5
30
50
90
45
75
76
15
10
60
67
60
80
70
70
87
27
65
56
82
30
38
56
70
80
71
50
31
40
71
71
10
20
40
55
80
80
72
60
29
70
60
63
70
38
40
80
24
40
47
70
75
60
65
91
68
90
20
61
13
80
40
70
39
93
10
25
56
18
60
74
35
71
100
64
50
40
35
60
70
55
65
30
25
80
26
78
10
70
65
80
60
74
49
70
66
65
40
40
20
90
48
25
35
40
77
70
82
80
52
71
70
50
80
72
80
91
18
70
76
65
35
62
76
50
68
80
90
79
30
60
100

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94914&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94914&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94914&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Bivariate Dataseries
Name of dataseries xspreken in groep onbekenden
Source of xDatasheet studSHW2010
Description of xScore
Name of dataseries yiets presenteren voor groep onbekenden
Source of yDatasheet studSHW2010
Description of yScores
Number of observations144

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & spreken in groep onbekenden \tabularnewline
Source of x & Datasheet studSHW2010 \tabularnewline
Description of x & Score \tabularnewline
Name of dataseries y & iets presenteren voor groep onbekenden \tabularnewline
Source of y & Datasheet studSHW2010 \tabularnewline
Description of y & Scores \tabularnewline
Number of observations & 144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94914&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]spreken in groep onbekenden[/C][/ROW]
[ROW][C]Source of x[/C][C]Datasheet studSHW2010[/C][/ROW]
[ROW][C]Description of x[/C][C]Score[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]iets presenteren voor groep onbekenden[/C][/ROW]
[ROW][C]Source of y[/C][C]Datasheet studSHW2010[/C][/ROW]
[ROW][C]Description of y[/C][C]Scores[/C][/ROW]
[ROW][C]Number of observations[/C][C]144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94914&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94914&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 xspreken in groep onbekenden
Source of xDatasheet studSHW2010
Description of xScore
Name of dataseries yiets presenteren voor groep onbekenden
Source of yDatasheet studSHW2010
Description of yScores
Number of observations144


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = spreken in groep onbekenden ; par2 = Datasheet studSHW2010 ; par3 = Score ; par4 = iets presenteren voor groep onbekenden ; par5 = Datasheet studSHW2010 ; par6 = Scores ;
Parameters (R input):
par1 = spreken in groep onbekenden ; par2 = Datasheet studSHW2010 ; par3 = Score ; par4 = iets presenteren voor groep onbekenden ; par5 = Datasheet studSHW2010 ; par6 = Scores ;
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')