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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 computationWed, 09 Dec 2009 10:37:09 -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/09/t1260380429khc0pq3gx9rfn1f.htm/, Retrieved Mon, 29 Apr 2024 15:03:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=65080, Retrieved Mon, 29 Apr 2024 15:03:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

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] [] [2009-12-09 10:51:17] [d811f621c525a990f9b60f1ae1e2e8fd]
-    D      [Bivariate Data Series] [] [2009-12-09 17:37:09] [efd540d63f04881f500eb7fad70c8699] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.00
96.30
107.1
115.2
106.1
89.50
91.30
97.60
100.7
104.6
94.70
101.8
102.5
105.3
110.3
109.8
117.3
118.8
131.3
125.9
133.1
147.0
145.8
164.4
149.8
137.7
151.7
156.8
180.0
180.4
170.4
191.6
199.5
218.2
217.5
205.0
194.0
199.3
219.3
211.1
215.2
240.2
242.2
240.7
255.4
253.0
218.2
203.7
205.6
215.6
Dataseries Y:
Download CSV
Histogram 
117.09
116.77
119.39
122.49
124.08
118.29
112.94
113.79
114.43
118.70
120.36
118.27
118.34
117.82
117.65
118.18
121.02
124.78
131.16
130.14
131.75
134.73
135.35
140.32
136.35
131.60
128.90
133.89
138.25
146.23
144.76
149.30
156.80
159.08
165.12
163.14
153.43
151.01
154.72
154.58
155.63
161.67
163.51
162.91
164.80
164.98
154.54
148.60
149.19
150.61

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'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=65080&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=65080&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65080&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'Gwilym Jenkins' @ 72.249.127.135






Bivariate Dataseries
Name of dataseries xruwe aardolie
Source of xbelgostat.be
Description of xPrijs van olie van 30/11/2002 tot 31/12/2006
Name of dataseries yCPI
Source of ybelgostat.be
Description of yCPI van 30/11/2002 tot 31/12/2006
Number of observations50

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & ruwe aardolie \tabularnewline
Source of x & belgostat.be \tabularnewline
Description of x & Prijs van olie van 30/11/2002 tot 31/12/2006 \tabularnewline
Name of dataseries y & CPI \tabularnewline
Source of y & belgostat.be \tabularnewline
Description of y & CPI van 30/11/2002 tot 31/12/2006 \tabularnewline
Number of observations & 50 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65080&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]ruwe aardolie[/C][/ROW]
[ROW][C]Source of x[/C][C]belgostat.be[/C][/ROW]
[ROW][C]Description of x[/C][C]Prijs van olie van 30/11/2002 tot 31/12/2006[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]CPI[/C][/ROW]
[ROW][C]Source of y[/C][C]belgostat.be[/C][/ROW]
[ROW][C]Description of y[/C][C]CPI van 30/11/2002 tot 31/12/2006[/C][/ROW]
[ROW][C]Number of observations[/C][C]50[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=65080&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65080&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 xruwe aardolie
Source of xbelgostat.be
Description of xPrijs van olie van 30/11/2002 tot 31/12/2006
Name of dataseries yCPI
Source of ybelgostat.be
Description of yCPI van 30/11/2002 tot 31/12/2006
Number of observations50


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = ruwe aardolie ; par2 = belgostat.be ; par3 = Prijs van olie van 30/11/2002 tot 31/12/2006 ; par4 = CPI ; par5 = belgostat.be ; par6 = CPI van 30/11/2002 tot 31/12/2006 ;
Parameters (R input):
par1 = ruwe aardolie ; par2 = belgostat.be ; par3 = Prijs van olie van 30/11/2002 tot 31/12/2006 ; par4 = CPI ; par5 = belgostat.be ; par6 = CPI van 30/11/2002 tot 31/12/2006 ;
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')