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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 15:38:41 -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/t12239342067is7n8uxwcggik3.htm/, Retrieved Sun, 19 May 2024 14:13:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16107, Retrieved Sun, 19 May 2024 14:13:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

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] [Verkeersbelasting] [2008-10-13 21:38:41] [63302faa1e3976bf98d1de42298c0b24] [Current]
-   PD    [Univariate Data Series] [Tijdreeks - Fietsen] [2008-10-20 20:00:22] [23bfa928dab4b48567707937094f7011]
- RMPD    [Central Tendency] [Centrale tendens ...] [2008-10-20 20:02:40] [23bfa928dab4b48567707937094f7011]
Feedback Forum
2008-10-19 15:49:37 [Chi-Kwong Man] [reply] 
Genoeg observaties en geen abnormaalheden te vinden.
2008-10-19 19:59:28 [Evelyn Ongena] [reply] 
De verkregen grafiek toont duidelijk dat de verkeersbelasting telkens voor een bepaalde periode constant blijft (is niet zo interessant). Wat wél interessant is, is het feit dat deze verkeersbelasting op regelmatige basis stijgt of daalt. Naar het einde toe merken we een daling op, daarvoor waren er enkel stijgingen ( deze daling is misschien niet zo makkelijk te verklaren)
2008-10-19 22:36:22 [256f97d8b7c07ed49f142eff724c6520] [reply] 
Er is telkens een periode van constante je kan de reden opzoeken waarom dit telkens verandert. Alsook gaat dit altijd in stijgende graad omhoog behalve in het laatste waarom zou dit zijn.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106,1900
106,1900
106,1900
106,1900
106,1900
106,1900
108,9200
108,9200
108,9200
108,9200
108,9200
108,9200
108,9200
108,9200
108,9200
108,9200
108,9200
108,9200
110,1000
110,1000
110,1000
110,1000
110,1000
110,1000
110,1000
110,1000
110,1000
110,1000
110,1000
110,1000
111,0500
111,0500
111,0500
111,0500
111,0500
111,0500
111,0500
111,0500
111,0500
111,0500
111,0500
111,0500
113,4600
113,4600
113,4600
113,4600
113,4600
113,4600
113,5000
113,4600
113,4600
113,4600
113,4600
113,4600
112,2100
112,2100
112,2100
112,2100
112,2100
112,2100

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16107&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16107&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'George Udny Yule' @ 72.249.76.132






Univariate Dataseries
Name of dataseriesVerkeersbelasting
Sourcehttp://www.nbb.be/belgostat/PublicatieSelectieLinker?LinkID=151000058|910000082&Lang=N
DescriptionVerkeersbelasting
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Verkeersbelasting \tabularnewline
Source & http://www.nbb.be/belgostat/PublicatieSelectieLinker?LinkID=151000058|910000082&Lang=N \tabularnewline
Description & Verkeersbelasting \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16107&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Verkeersbelasting[/C][/ROW]
[ROW][C]Source[/C][C]http://www.nbb.be/belgostat/PublicatieSelectieLinker?LinkID=151000058|910000082&Lang=N[/C][/ROW]
[ROW][C]Description[/C][C]Verkeersbelasting[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16107&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 dataseriesVerkeersbelasting
Sourcehttp://www.nbb.be/belgostat/PublicatieSelectieLinker?LinkID=151000058|910000082&Lang=N
DescriptionVerkeersbelasting
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Verkeersbelasting ; par2 = http://www.nbb.be/belgostat/PublicatieSelectieLinker?LinkID=151000058|910000082&Lang=N ; par3 = Verkeersbelasting ;
Parameters (R input):
par1 = Verkeersbelasting ; par2 = http://www.nbb.be/belgostat/PublicatieSelectieLinker?LinkID=151000058|910000082&Lang=N ; par3 = Verkeersbelasting ;
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')