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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 12:34:58 -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/t1223922942ti68jxhshgrv6i9.htm/, Retrieved Tue, 28 May 2024 23:17:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15879, Retrieved Tue, 28 May 2024 23:17:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157

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] [Dow Jones Industrial] [2008-10-13 18:34:58] [d592f629d96b926609f311957d74fcca] [Current]
-   PD    [Univariate Data Series] [Dow Jones Industrial] [2008-10-19 17:15:30] [b591abfa820a394aeb0c5ebd9cfa1091]
Feedback Forum
2008-10-19 14:12:40 [e9c861930c027d1bae8828281431911e] [reply] 
zeer interresante tijdreeksen waar je duidelijk veel over kan zeggen in deze economische tijden, maar je wel een zeer grondig inzicht moet hebben over economie. let dus op dat je weet waar ja aan begint juist omdat het zo actueel is, voor de rest heb je wel te weinig observaties in al je tijdreeksen
2008-10-20 08:00:34 [Lindsay Heyndrickx] [reply] 
Hier zijn te weinig observaties en een geen duidelijke link naar de bron van de gegevens.
De Dow jones is heel actueel maar daar moet je misschien mee oppassen omdat ze zeer snel verandert en heel moeilijk te voorspellen is.
2008-10-20 08:05:25 [Pieter Schuermans] [reply] 
de tijdreeks heeft een mooi verloop, maar ook hier blijft de beurs een moeilijk te voorspellen tijdreeks. 50 observaties i.p.v. 60.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10032.80
10204.59
10001.60
10411.75
10673.38
10539.51
10723.78
10682.06
10283.19
10377.18
10486.64
10545.38
10554.27
10532.54
10324.31
10695.25
10827.81
10872.48
10971.19
11145.65
11234.68
11333.88
10997.97
11036.89
11257.35
11533.59
11963.12
12185.15
12377.62
12512.89
12631.48
12268.53
12754.80
13407.75
13480.21
13673.28
13239.71
13557.69
13901.28
13200.58
13406.97
12538.12
12419.57
12193.88
12656.63
12812.48
12056.67
11322.38
11530.75
11114.08

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 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=15879&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]5 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=15879&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15879&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 time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Univariate Dataseries
Name of dataseriesDow Jones Industrial
SourceBelgostat
DescriptionDow Jones Industrial
Number of observations50

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Dow Jones Industrial \tabularnewline
Source & Belgostat \tabularnewline
Description & Dow Jones Industrial \tabularnewline
Number of observations & 50 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15879&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Dow Jones Industrial[/C][/ROW]
[ROW][C]Source[/C][C]Belgostat[/C][/ROW]
[ROW][C]Description[/C][C]Dow Jones Industrial[/C][/ROW]
[ROW][C]Number of observations[/C][C]50[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15879&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15879&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 dataseriesDow Jones Industrial
SourceBelgostat
DescriptionDow Jones Industrial
Number of observations50


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Dow Jones Industrial ; par2 = Belgostat ; par3 = Dow Jones Industrial ;
Parameters (R input):
par1 = Dow Jones Industrial ; par2 = Belgostat ; par3 = Dow Jones Industrial ;
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')