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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 computationSat, 11 Dec 2010 11:03:56 +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/11/t1292065395r399azshnnk6lil.htm/, Retrieved Wed, 01 May 2024 23:13:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108059, Retrieved Wed, 01 May 2024 23:13:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141

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] [Schermbreedte en ...] [2010-11-11 17:54:48] [6bc4f9343b7ea3ef5a59412d1f72bb2b]
-   PD    [Bivariate Data Series] [Mini-tutorial His...] [2010-11-14 21:03:13] [6ca0fc48dd5333d51a15728999009c83]
-   PD        [Bivariate Data Series] [Density plot X] [2010-12-11 11:03:56] [b4ba846736d082ffaee409a197f454c7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15
15
14
10
10
12
18
12
14
18
9
11
11
17
8
16
21
24
21
14
7
18
18
13
11
13
13
18
14
12
9
12
8
5
10
11
11
12
12
15
12
16
14
17
13
10
17
12
13
13
11
13
12
12
12
9
7
17
12
12
9
9
13
10
11
12
10
13
6
7
13
11
18
9
9
11
11
15
8
11
14
14
12
12
8
11
10
17
16
13
15
11
12
16
20
16
11
15
15
12
9
24
15
18
17
12
15
11
11
15
12
14
11
20
11
12
17
12
11
10
11
12
9
8
6
12
15
13
17
14
16
15
16
11
11
16
15
14
9
13
11
14
11
12
8
7
11
13
9
12
10
12
Dataseries Y:
Download CSV
Histogram 
69
53
43
60
49
62
45
50
75
82
60
59
21
62
54
47
59
37
43
48
79
62
16
38
58
60
67
55
47
59
49
47
57
39
49
26
53
75
65
49
48
45
31
61
49
69
54
80
57
34
69
44
70
51
66
18
74
59
48
55
44
56
65
77
46
70
39
55
44
45
45
49
65
45
71
48
41
40
64
56
52
41
42
54
40
40
51
48
80
38
57
28
51
46
58
67
72
26
54
53
64
47
43
66
54
62
52
64
55
57
74
32
38
66
37
26
64
28
66
65
48
44
64
39
50
66
48
70
66
61
31
61
54
34
62
47
52
37
46
38
63
34
46
40
30
35
51
56
68
39
44
58

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108059&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]5 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=108059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108059&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 time5 seconds
R Server'George Udny Yule' @ 72.249.76.132






Bivariate Dataseries
Name of dataseries xVerwachtingen ouders
Source of x
Description of xVerachtingen ouders
Name of dataseries yAngst studenten
Source of y
Description of yAngst studenten
Number of observations152

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Verwachtingen ouders \tabularnewline
Source of x &  \tabularnewline
Description of x & Verachtingen ouders \tabularnewline
Name of dataseries y & Angst studenten \tabularnewline
Source of y &  \tabularnewline
Description of y & Angst studenten \tabularnewline
Number of observations & 152 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108059&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Verwachtingen ouders[/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C]Verachtingen ouders[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Angst studenten[/C][/ROW]
[ROW][C]Source of y[/C][C][/C][/ROW]
[ROW][C]Description of y[/C][C]Angst studenten[/C][/ROW]
[ROW][C]Number of observations[/C][C]152[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108059&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 xVerwachtingen ouders
Source of x
Description of xVerachtingen ouders
Name of dataseries yAngst studenten
Source of y
Description of yAngst studenten
Number of observations152


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Verwachtingen ouders ; par3 = Verachtingen ouders ; par4 = Angst studenten ; par6 = Angst studenten ;
Parameters (R input):
par1 = Verwachtingen ouders ; par2 = ; par3 = Verachtingen ouders ; par4 = Angst studenten ; par5 = ; par6 = Angst studenten ;
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')