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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 computationSun, 25 Oct 2009 11:21:06 -0600
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/Oct/25/t1256491307v8cy7huqh5d2xwk.htm/, Retrieved Mon, 29 Apr 2024 14:36:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50338, Retrieved Mon, 29 Apr 2024 14:36:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact214

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]
-   PD    [Bivariate Data Series] [] [2009-10-25 17:21:06] [0545e25c765ce26b196961216dc11e13] [Current]
- RMPD      [Bivariate Explorative Data Analysis] [] [2009-10-25 17:24:36] [badc6a9acdc45286bea7f74742e15a21]
- RM          [Pearson Correlation] [] [2009-10-25 17:31:19] [badc6a9acdc45286bea7f74742e15a21]
-  M D        [Bivariate Explorative Data Analysis] [] [2009-11-02 15:34:41] [badc6a9acdc45286bea7f74742e15a21]
- RMPD        [Mean Plot] [] [2009-11-09 18:31:12] [badc6a9acdc45286bea7f74742e15a21]
- RM D          [Standard Deviation Plot] [] [2009-11-09 18:56:32] [badc6a9acdc45286bea7f74742e15a21]
-   PD      [Bivariate Data Series] [] [2009-10-25 17:43:31] [badc6a9acdc45286bea7f74742e15a21]
- RM D        [Bivariate Explorative Data Analysis] [] [2009-10-25 17:45:33] [badc6a9acdc45286bea7f74742e15a21]
- RM            [Pearson Correlation] [] [2009-10-25 17:47:50] [badc6a9acdc45286bea7f74742e15a21]
-   PD        [Bivariate Data Series] [] [2009-10-28 17:21:09] [badc6a9acdc45286bea7f74742e15a21]
- RMPD          [Bivariate Explorative Data Analysis] [] [2009-10-28 17:23:14] [badc6a9acdc45286bea7f74742e15a21]
- RMP             [Pearson Correlation] [] [2009-10-28 17:28:56] [badc6a9acdc45286bea7f74742e15a21]
-   PD          [Bivariate Data Series] [] [2009-10-28 17:33:36] [badc6a9acdc45286bea7f74742e15a21]
- RM D            [Bivariate Explorative Data Analysis] [] [2009-10-28 17:35:45] [badc6a9acdc45286bea7f74742e15a21]
- RM                [Pearson Correlation] [] [2009-10-28 17:39:19] [badc6a9acdc45286bea7f74742e15a21]
- RM D        [Bivariate Explorative Data Analysis] [] [2009-10-28 17:56:35] [2c5be225250d91402426bbbf07a5e2b3]
- RM D        [Bivariate Explorative Data Analysis] [] [2009-10-28 18:03:40] [2c5be225250d91402426bbbf07a5e2b3]
-    D          [Bivariate Explorative Data Analysis] [] [2009-10-28 18:20:16] [2c5be225250d91402426bbbf07a5e2b3]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2,21
2,25
2,25
2,45
2,5
2,5
2,64
2,75
2,93
3
3,17
3,25
3,39
3,5
3,5
3,65
3,75
3,75
3,9
4
4
4
4
4
4
4
4
4
4
4
4
4,18
4,25
4,25
3,97
3,42
2,75
2,31
2
1,66
1,31
1,09
1
1
1
1
Dataseries Y:
Download CSV
Histogram 
1,4
1,2
1
1,7
2,4
2
2,1
2
1,8
2,7
2,3
1,9
2
2,3
2,8
2,4
2,3
2,7
2,7
2,9
3
2,2
2,3
2,8
2,8
2,8
2,2
2,6
2,8
2,5
2,4
2,3
1,9
1,7
2
2,1
1,7
1,8
1,8
1,8
1,3
1,3
1,3
1,2
1,4
2,2
2,9
3,1
3,5
3,6
4,4
4,1
5,1
5,8
5,9
5,4
5,5
4,8
3,2
2,7
2,1
1,9
0,6
0,7
-0,2
-1
-1,7
-0,7
-1

Tables (Output of Computation)





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' @ 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50338&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50338&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50338&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Bivariate Dataseries
Name of dataseries x
Source of x
Description of xrente
Name of dataseries y
Source of y
Description of yinflatie
Number of observations69

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x &  \tabularnewline
Source of x &  \tabularnewline
Description of x & rente \tabularnewline
Name of dataseries y &  \tabularnewline
Source of y &  \tabularnewline
Description of y & inflatie \tabularnewline
Number of observations & 69 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50338&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C][/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C]rente[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C][/C][/ROW]
[ROW][C]Source of y[/C][C][/C][/ROW]
[ROW][C]Description of y[/C][C]inflatie[/C][/ROW]
[ROW][C]Number of observations[/C][C]69[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50338&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50338&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 x
Source of x
Description of xrente
Name of dataseries y
Source of y
Description of yinflatie
Number of observations69


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par3 = rente ; par6 = inflatie ;
Parameters (R input):
par1 = ; par2 = ; par3 = rente ; par4 = ; par5 = ; par6 = inflatie ;
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')