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Description of Statistical Computation

Author's title

Prijsindexcijfers van de grondstoffen , Algemeen indexcijfer, Inclusief ene...

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 14 Oct 2008 00:31:12 -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/2008/Oct/14/t1223966067ky8a545wihh16bm.htm/, Retrieved Sun, 19 May 2024 14:06:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16189, Retrieved Sun, 19 May 2024 14:06:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Univariate Data Series] [Prijsindexcijfers...] [2008-10-14 06:31:12] [1b288879226ab9a3cab0c803857233cc] [Current]
F   PD    [Univariate Data Series] [Aankoop nieuwe wa...] [2008-10-20 20:21:32] [6f54f97492451bf8edc5dd186465ee4a]
Feedback Forum
2008-10-20 14:10:48 [Nathalie Koulouris] [reply] 
De vijf verschillende tijdreeksen kennen allemaal een stijgende trend.Er zijn geen abnormale gebeurtenissen of structurele veranderingen. De grafieken kennen ook geen seizoenaliteit. Enkele grafieken bevatten outliers maar de student kan de outliers verklaren dus kunnen we vaststellen dat de student goede grafieken gekozen heeft.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96,8
91,2
97,1
104,9
110,9
104,8
94,1
95,8
99,3
101,1
104,0
99,0
105,4
107,1
110,7
117,1
118,7
126,5
127,5
134,6
131,8
135,9
142,7
141,7
153,4
145,0
137,7
148,3
152,2
169,4
168,6
161,1
174,1
179,0
190,6
190,0
181,6
174,8
180,5
196,8
193,8
197,0
216,3
221,4
217,9
229,7
227,4
204,2
196,6
198,8
207,5
190,7
201,6
210,5
223,5
223,8
231,2
244,0
234,7
250,2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16189&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16189&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16189&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Univariate Dataseries
Name of dataseriesPrijsindexcijfers van de grondstoffen , Algemeen indexcijfer, Inclusief energie -
Sourcestatbel
Description
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Prijsindexcijfers van de grondstoffen , Algemeen indexcijfer, Inclusief energie - \tabularnewline
Source & statbel \tabularnewline
Description &  \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16189&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Prijsindexcijfers van de grondstoffen , Algemeen indexcijfer, Inclusief energie -[/C][/ROW]
[ROW][C]Source[/C][C]statbel[/C][/ROW]
[ROW][C]Description[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16189&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16189&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:

Univariate Dataseries
Name of dataseriesPrijsindexcijfers van de grondstoffen , Algemeen indexcijfer, Inclusief energie -
Sourcestatbel
Description
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Prijsindexcijfers van de grondstoffen , Algemeen indexcijfer, Inclusief energie - ; par2 = statbel ;
Parameters (R input):
par1 = Prijsindexcijfers van de grondstoffen , Algemeen indexcijfer, Inclusief energie - ; par2 = statbel ; par3 = ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Univariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,par3)
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')