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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 computationThu, 10 Dec 2009 11:11:47 -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/10/t1260468816c0mwsy3kchd1c1b.htm/, Retrieved Wed, 24 Apr 2024 00:17:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=65674, Retrieved Wed, 24 Apr 2024 00:17:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSHW WS 10 Bivariate Data Series
Estimated Impact135

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] [WS 10 Bivariate D...] [2009-12-10 18:11:47] [a45cc820faa25ce30779915639528ec2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.2
100.4
101.4
103
109.1
111.4
114.1
121.8
127.6
129.9
128
123.5
124
127.4
127.6
128.4
131.4
135.1
134
144.5
147.3
150.9
148.7
141.4
138.9
139.8
145.6
147.9
148.5
151.1
157.5
167.5
172.3
173.5
187.5
205.5
195.1
204.5
204.5
201.7
207
206.6
210.6
211.1
215
223.9
238.2
238.9
229.6
232.2
222.1
221.6
227.3
221
213.6
243.4
253.8
265.3
268.2
268.5
266.9
268.4
250.8
231.2
192
171.4
160
148.1
144.8
147.2
155.1
161.1
169.9
Dataseries Y:
Download CSV
Histogram 
14.2
13.5
11.9
14.6
15.6
14.1
14.9
14.2
14.6
17.2
15.4
14.3
17.5
14.5
14.4
16.6
16.7
16.6
16.9
15.7
16.4
18.4
16.9
16.5
18.3
15.1
15.7
18.1
16.8
18.9
19
18.1
17.8
21.5
17.1
18.7
19
16.4
16.9
18.6
19.3
19.4
17.6
18.6
18.1
20.4
18.1
19.6
19.9
19.2
17.8
19.2
22
21.1
19.5
22.2
20.9
22.2
23.5
21.5
24.3
22.8
20.3
23.7
23.3
19.6
18
17.3
16.8
18.2
16.5
16
18.4

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=65674&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=65674&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65674&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 xPrijsindexcijfers industriële grondstoffen
Source of xwww.belgostat.be
Description of x
Name of dataseries yInvoer
Source of ywww.belgostat.be
Description of y
Number of observations73

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Prijsindexcijfers industriële grondstoffen \tabularnewline
Source of x & www.belgostat.be \tabularnewline
Description of x &  \tabularnewline
Name of dataseries y & Invoer \tabularnewline
Source of y & www.belgostat.be \tabularnewline
Description of y &  \tabularnewline
Number of observations & 73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65674&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Prijsindexcijfers industriële grondstoffen[/C][/ROW]
[ROW][C]Source of x[/C][C]www.belgostat.be[/C][/ROW]
[ROW][C]Description of x[/C][C][/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Invoer[/C][/ROW]
[ROW][C]Source of y[/C][C]www.belgostat.be[/C][/ROW]
[ROW][C]Description of y[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]73[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=65674&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65674&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 xPrijsindexcijfers industriële grondstoffen
Source of xwww.belgostat.be
Description of x
Name of dataseries yInvoer
Source of ywww.belgostat.be
Description of y
Number of observations73


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Prijsindexcijfers industriële grondstoffen ; par2 = www.belgostat.be ; par4 = Invoer ; par5 = www.belgostat.be ;
Parameters (R input):
par1 = Prijsindexcijfers industriële grondstoffen ; par2 = www.belgostat.be ; par3 = ; par4 = Invoer ; par5 = www.belgostat.be ; 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')