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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 13:15:50 -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/t1321899360bqxsvyqsk8bube7.htm/, Retrieved Thu, 25 Apr 2024 11:19:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145882, Retrieved Thu, 25 Apr 2024 11:19:27 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94
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] [0fa8c500575976cf9d2f7efbe256ddfb]
- R PD      [Bivariate Data Series] [] [2011-11-21 18:15:50] [2e63149daec6ba44c7d6fab36a0b0c34] [Current]
-   PD        [Bivariate Data Series] [] [2011-11-21 18:17:07] [0fa8c500575976cf9d2f7efbe256ddfb]
-   PD        [Bivariate Data Series] [] [2011-11-21 18:17:51] [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:
94
85,5
86
94
109
118
72
140
102,8
99,8
80
106
122
161
135
140
140
135
109
135
135
90
90
81
104
104
135
81
126
140
120
120
110
108
120
118
85
94
72,6
78
65
130
70
78,5
93,5
80
78,8
90,3
87,7
107
90
103
126
98
128
132
94
111
95
155




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145882&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145882&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145882&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'Gertrude Mary Cox' @ cox.wessa.net







Bivariate Dataseries
Name of dataseries xPrijs
Source of x
Description of x
Name of dataseries yGewicht
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 & Gewicht \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=145882&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]Gewicht[/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=145882&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145882&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 yGewicht
Source of y
Description of y
Number of observations60



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