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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 13 Oct 2008 12:31:35 -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/13/t1223922770fhgv747o0eq4igk.htm/, Retrieved Sun, 19 May 2024 13:08:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15872, Retrieved Sun, 19 May 2024 13:08:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

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] [Bel20] [2008-10-13 18:31:35] [d592f629d96b926609f311957d74fcca] [Current]
-   PD    [Univariate Data Series] [Bel20] [2008-10-19 17:11:14] [b591abfa820a394aeb0c5ebd9cfa1091]
Feedback Forum
2008-10-18 10:58:47 [Gregory Van Overmeiren] [reply] 
Ik zie dat je maar 50 observaties hebt. Ik dacht dat je er minstens 60 moest hebben. Voor de rest lijkt dit me een goede tijdreeks
2008-10-18 11:04:38 [Gregory Van Overmeiren] [reply] 
Dit is ook het geval bij je andere tijdreeksen (maar 50 observaties)... Voor de rest lijken ze me allemaal wel in orde.

Grtz
2008-10-20 07:57:05 [Lindsay Heyndrickx] [reply] 
Er zijn maar 50 observaties, dit is iets te weinig.
Er is ook geen duidelijke bronvermelding naar de website waar je deze gegevens gevonden hebt.
De bel 20 is zeer actueel en moeilijk te voorspellen dus een beetje een moeilijke tijdreeks om te nemen omdat ze snel kan veranderen.
2008-10-20 07:57:54 [Pieter Schuermans] [reply] 
Aandelen zijn moeilijk te voorspellen. Maar deze grafiek vertoont geen moeilijkheden in zijn verloop. Je hebt wel maar 50 observaties i.p.v. 60.
2008-10-20 08:08:22 [Lindsay Heyndrickx] [reply] 
ook best kunnen verklaren waarom het eerst stijgt en daarna blijft dalen.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2497.84
2645.64
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.10
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.40
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.40
3857.62
3801.06
3504.37
3032.60
3047.03
2962.34

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15872&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15872&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15872&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Univariate Dataseries
Name of dataseriesBel20
SourceBelgostat
DescriptionSterindex Euronext Brussels
Number of observations50

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Bel20 \tabularnewline
Source & Belgostat \tabularnewline
Description & Sterindex Euronext Brussels \tabularnewline
Number of observations & 50 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15872&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Bel20[/C][/ROW]
[ROW][C]Source[/C][C]Belgostat[/C][/ROW]
[ROW][C]Description[/C][C]Sterindex Euronext Brussels[/C][/ROW]
[ROW][C]Number of observations[/C][C]50[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15872&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15872&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 dataseriesBel20
SourceBelgostat
DescriptionSterindex Euronext Brussels
Number of observations50


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Bel20 ; par2 = Belgostat ; par3 = Sterindex Euronext Brussels ;
Parameters (R input):
par1 = Bel20 ; par2 = Belgostat ; par3 = Sterindex Euronext Brussels ;
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')