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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 computationTue, 08 Dec 2009 13:20:13 -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/08/t1260303665i52yt1inrlkpwph.htm/, Retrieved Sun, 28 Apr 2024 12:31:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64840, Retrieved Sun, 28 Apr 2024 12:31:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbhschhwstws10.1
Estimated Impact102

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] [Workshop 10] [2009-12-08 20:20:13] [682632737e024f9e62885141c5f654cd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
128.6
128.9
129.06
129.23
129.27
129.33
129.35
129.31
129.4
129.49
129.47
129.46
129.45
129.28
129.2
129.25
129.14
129.11
129.02
129.08
128.99
129.11
129.08
129.19
129.23
129.25
129.31
129.33
129.39
129.55
129.43
129.45
129.57
129.76
129.92
130.08
130.41
130.84
131.24
131.49
131.74
132.34
133.5
134.43
136.5
137.41
138.02
138.15
138.24
138.2
138.31
138.65
139.3
139.8
140.52
141.57
141.77
141.66
141.36
141.17
Dataseries Y:
Download CSV
Histogram 
150.85
147.79
141.96
148.39
147.71
150.6
151.18
152.24
157.19
154.62
157.22
159.7
160.55
149.66
151.69
154.13
151.48
153.34
155.8
158.87
156.09
156.3
156.4
154.09
161.32
160.12
155.17
154.51
151.38
152.59
153.98
154.91
153.01
155.09
155.53
161.86
166.03
164.54
164.33
163.21
159.95
164.18
167.13
166.8
166.29
168.07
167.1
163.53
168.28
169.07
165.84
163.88
157.33
161
163.54
161.21
158.92
160.18
159.9
164.46

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64840&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]0 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=64840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64840&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Bivariate Dataseries
Name of dataseries xVlees
Source of xwww.belgostat.be
Description of xIndexcijfer van consumptieprijzen vlees
Name of dataseries yVis
Source of ywww.belgostat.be
Description of yIndexcijfer van consumptieprijzen vis
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Vlees \tabularnewline
Source of x & www.belgostat.be \tabularnewline
Description of x & Indexcijfer van consumptieprijzen vlees \tabularnewline
Name of dataseries y & Vis \tabularnewline
Source of y & www.belgostat.be \tabularnewline
Description of y & Indexcijfer van consumptieprijzen vis \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64840&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Vlees[/C][/ROW]
[ROW][C]Source of x[/C][C]www.belgostat.be[/C][/ROW]
[ROW][C]Description of x[/C][C]Indexcijfer van consumptieprijzen vlees[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Vis[/C][/ROW]
[ROW][C]Source of y[/C][C]www.belgostat.be[/C][/ROW]
[ROW][C]Description of y[/C][C]Indexcijfer van consumptieprijzen vis[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64840&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 xVlees
Source of xwww.belgostat.be
Description of xIndexcijfer van consumptieprijzen vlees
Name of dataseries yVis
Source of ywww.belgostat.be
Description of yIndexcijfer van consumptieprijzen vis
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Vlees ; par2 = www.belgostat.be ; par3 = Indexcijfer van consumptieprijzen vlees ; par4 = Vis ; par5 = www.belgostat.be ; par6 = Indexcijfer van consumptieprijzen vis ;
Parameters (R input):
par1 = Vlees ; par2 = www.belgostat.be ; par3 = Indexcijfer van consumptieprijzen vlees ; par4 = Vis ; par5 = www.belgostat.be ; par6 = Indexcijfer van consumptieprijzen vis ;
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')