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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, 21 Nov 2011 13:13:42 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/21/t1321899276uajlxqoomehmnb7.htm/, Retrieved Fri, 29 Mar 2024 11:58:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145880, Retrieved Fri, 29 Mar 2024 11:58:34 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-06 21:28:17] [74be16979710d4c4e7c6647856088456]
- RMPD    [Bivariate Data Series] [] [2011-11-21 18:13:42] [2e63149daec6ba44c7d6fab36a0b0c34] [Current]
- R PD      [Bivariate Data Series] [] [2011-11-21 18:15:50] [0fa8c500575976cf9d2f7efbe256ddfb]
-   PD        [Bivariate Data Series] [] [2011-11-21 18:17:07] [0fa8c500575976cf9d2f7efbe256ddfb]
-   PD        [Bivariate Data Series] [] [2011-11-21 18:17:51] [0fa8c500575976cf9d2f7efbe256ddfb]
- R PD      [Bivariate Data Series] [] [2011-11-21 18:18:53] [0fa8c500575976cf9d2f7efbe256ddfb]
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Dataseries X:
129,99
59,99
49,99
84,99
179,99
329,99
25,99
499,99
89,99
119,99
79,99
199,99
449,99
549,99
529,99
639,99
749,99
399,99
169,99
189,99
199,99
69,99
69,99
109,99
159,99
159,99
199,99
75
349,99
439,99
309,99
379,99
349,99
169,99
239,99
229,99
69,99
99,99
29,99
39,99
21,99
499,99
29,99
29,99
49,99
49,99
55,99
59,99
79,99
139,99
159,99
169,99
229,99
249,99
309,99
499,99
65,99
89,99
89,99
449,99
Dataseries Y:
30
12
15
40
512
1500
16
8000
7
20
128
256
256
4000
8000
16000
32000
130
256
8000
8000
20
20
5
128
128
1000
30
512
8000
512
512
512
256
192
512
64
20
8
12
8
60
1
4
32
10
10
9
30
51
16000
46
32000
16000
256
16000
7
48
100
16000




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145880&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145880&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145880&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Bivariate Dataseries
Name of dataseries xPrijs
Source of x
Description of x
Name of dataseries yGeheugen
Source of y
Description of y
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Prijs \tabularnewline
Source of x &  \tabularnewline
Description of x &  \tabularnewline
Name of dataseries y & Geheugen \tabularnewline
Source of y &  \tabularnewline
Description of y &  \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145880&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Prijs[/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]Geheugen[/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]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145880&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145880&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 xPrijs
Source of x
Description of x
Name of dataseries yGeheugen
Source of y
Description of y
Number of observations60



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