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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 16:18:46 -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/t1223936394fdf1iavtv2206si.htm/, Retrieved Sun, 19 May 2024 16:08:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16129, Retrieved Sun, 19 May 2024 16:08:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsLondon Brent Oil
Estimated Impact187

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] [Tijdsreeks 4] [2008-10-13 22:18:46] [6d5cd2fe15d123a10639b4bf141c23b5] [Current]
Feedback Forum
2008-10-19 11:18:21 [f642bf4e0761564cc7d93d99838fb31e] [reply] 
De tijdwaarden zijn aflopend gesorteerd i.p.v. oplopend (de grafiek moet een stijgend verloop tonen). Verder oogt de grafiek bruikbaar: geen extreme waarden of negatieve getallen. Ook moet er opgemerkt worden dat de waarden in USD uitgedrukt zijn tegenover de andere grafieken die in euro's vermeld staan. Toekomstige tips: inloggen bij het bloggen & de url van belgostat invullen bij Source.
2008-10-20 11:18:22 [Julie Leurentop] [reply] 
Deze tijdsreeks is alsook niet oplopend gesorteerd. De assen moeten dus verwisseld worden. Er zitten geen outliers of negatieve waarden in dus de tijdreeks is bruikbaar. Je moet effectief wel oppassen omdat je hier met USD werkt ipv euro's.
2008-10-20 16:48:54 [Romina Battain] [reply] 
Een klein verbeterpuntje is dat de grafiek aflopend is i.p.v. oplopend. Er staan geen negatieve getallen of outliers in, wat correct is.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
57.42
56.12
59.15
63.77
63.96
57.81
55.3
51.8
53.26
53.38
45.85
44.23
40.22
44.61
49.14
42.94
41.84
37.75
35.54
37.13
33.19
32.67
30.52
30.7
29.59
28.76
29.08
26.95
29.58
28.24
27.28
25.48
24.87
29.87
32.33
30.23
27.46
24.46
27.34
28.37
26.09
25.59
24.67
25.61
25.97
24.31
20.36
19.82
19.32
19.2
21.74
26.29
25.9
25.36
27.64
28.57
25.38
25.71
27.6
25.85
26.54

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=16129&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=16129&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16129&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 dataseriesLondon Brent Oil (USD/Barrel)
SourceBelgostat
DescriptionTijdsreeks
Number of observations61

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & London Brent Oil (USD/Barrel) \tabularnewline
Source & Belgostat \tabularnewline
Description & Tijdsreeks \tabularnewline
Number of observations & 61 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16129&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]London Brent Oil (USD/Barrel)[/C][/ROW]
[ROW][C]Source[/C][C]Belgostat[/C][/ROW]
[ROW][C]Description[/C][C]Tijdsreeks[/C][/ROW]
[ROW][C]Number of observations[/C][C]61[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16129&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16129&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 dataseriesLondon Brent Oil (USD/Barrel)
SourceBelgostat
DescriptionTijdsreeks
Number of observations61


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = London Brent Oil (USD/Barrel) ; par2 = Belgostat ; par3 = Tijdsreeks ;
Parameters (R input):
par1 = London Brent Oil (USD/Barrel) ; par2 = Belgostat ; par3 = Tijdsreeks ;
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')