Free Statistics

of Irreproducible Research!

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 computationFri, 11 Dec 2009 10:03:00 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/11/t1260551045senz6theq2k62uu.htm/, Retrieved Sun, 28 Apr 2024 23:10:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=66561, Retrieved Sun, 28 Apr 2024 23:10:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
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] [shwws10vr1] [2009-12-11 17:03:00] [d447d4b3e35da686436a520338c962fc] [Current]
Feedback Forum

Post a new message
Dataseries X:
100,35
100,35
100,36
100,39
100,34
100,34
100,35
100,43
100,47
100,67
100,75
100,78
100,79
100,67
100,64
100,64
100,76
100,79
100,79
100,9
100,98
101,11
101,18
101,22
101,23
101,09
101,26
101,28
101,43
101,53
101,54
101,54
101,79
102,18
102,37
102,46
102,46
102,03
102,26
102,33
102,44
102,5
102,52
102,66
102,72
Dataseries Y:
102,1
102,86
102,99
103,73
105,02
104,43
104,63
104,93
105,87
105,66
106,76
106
107,22
107,33
107,11
108,86
107,72
107,88
108,38
107,72
108,41
109,9
111,45
112,18
113,34
113,46
114,06
115,54
116,39
115,94
116,97
115,94
115,91
116,43
116,26
116,35
117,9
117,7
117,53
117,86
117,65
116,51
115,93
115,31
115




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=66561&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=66561&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66561&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'Gwilym Jenkins' @ 72.249.127.135







Bivariate Dataseries
Name of dataseries xkleding
Source of xhttp://www.nbb.be/belgostat/PresentationLinker?TableId=596000020&Lang=N
Description of xkleding
Name of dataseries yvoeding
Source of yhttp://www.nbb.be/belgostat/PresentationLinker?TableId=596000019&Lang=N
Description of yvoeding
Number of observations45

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & kleding \tabularnewline
Source of x & http://www.nbb.be/belgostat/PresentationLinker?TableId=596000020&Lang=N \tabularnewline
Description of x & kleding \tabularnewline
Name of dataseries y & voeding \tabularnewline
Source of y & http://www.nbb.be/belgostat/PresentationLinker?TableId=596000019&Lang=N \tabularnewline
Description of y & voeding \tabularnewline
Number of observations & 45 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=66561&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]kleding[/C][/ROW]
[ROW][C]Source of x[/C][C]http://www.nbb.be/belgostat/PresentationLinker?TableId=596000020&Lang=N[/C][/ROW]
[ROW][C]Description of x[/C][C]kleding[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]voeding[/C][/ROW]
[ROW][C]Source of y[/C][C]http://www.nbb.be/belgostat/PresentationLinker?TableId=596000019&Lang=N[/C][/ROW]
[ROW][C]Description of y[/C][C]voeding[/C][/ROW]
[ROW][C]Number of observations[/C][C]45[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=66561&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66561&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 xkleding
Source of xhttp://www.nbb.be/belgostat/PresentationLinker?TableId=596000020&Lang=N
Description of xkleding
Name of dataseries yvoeding
Source of yhttp://www.nbb.be/belgostat/PresentationLinker?TableId=596000019&Lang=N
Description of yvoeding
Number of observations45



Parameters (Session):
par1 = kleding ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=596000020&Lang=N ; par3 = kleding ; par4 = voeding ; par5 = http://www.nbb.be/belgostat/PresentationLinker?TableId=596000019&Lang=N ; par6 = voeding ;
Parameters (R input):
par1 = kleding ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=596000020&Lang=N ; par3 = kleding ; par4 = voeding ; par5 = http://www.nbb.be/belgostat/PresentationLinker?TableId=596000019&Lang=N ; par6 = voeding ;
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')