FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 13 Oct 2008 12:59:54 -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/t122392442081gzem96gx808yq.htm/, Retrieved Sun, 19 May 2024 13:37:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15938, Retrieved Sun, 19 May 2024 13:37:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

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] [Rentetarieven (Ba...] [2008-10-13 18:59:54] [620b6ad5c4696049e39cb73ce029682c] [Current]
Feedback Forum
2008-10-16 10:55:26 [Stefan Eyckmans] [reply] 
Deze tijdreeks lijkt me niet zo simpel te analyseren.
Dergelijke outliers kan je mss beter wegwerken. Je kan dit doen door
een gemiddelde te nemen van de randpunten van deze outlier.

Een ander punt is dat je werkt met percentages. Het is aan te raden om gewone
eenheden te nemen. Werkt veel gemakkelijker.
2008-10-17 12:31:13 [Ciska Tanghe] [reply] 
Bij deze tijdreeks zijn er geen grote schommelingen. De grafiek is op meerdere plaatsen constant. Toch zou dit geen problemen mogen geven, omdat de andere drie tijdreeksen wel genoeg schommelingen weergeven.
2008-10-19 15:27:48 [Chi-Kwong Man] [reply] 
Er zijn geen plotse veranderingen te bemerken, dus in orde.
2008-10-20 17:27:58 [Davy De Nef] [reply] 
Ik ben niet van mening dat een tijdreeks waarbij er veel waarden hetzelfde zijn, handig zijn om te analyseren. Liever kleine schommelingen, dan geen schommelingen.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4,5
4,7
4,75
4,75
4,75
4,75
4,75
4,75
4,58
4,5
4,5
4,49
4,03
3,75
3,39
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
3,25
2,85
2,75
2,75
2,55
2,5
2,5
2,1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2,21
2,25
2,25
2,45
2,5
2,5
2,64
2,75
2,93
3
3,17
3,25
3,39
3,5
3,5
3,65
3,75
3,75
3,9
4
4
4
4
4
4
4
4
4
4
4
4
4,18
4,25
4,25

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15938&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15938&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15938&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'Gwilym Jenkins' @ 72.249.127.135






Univariate Dataseries
Name of dataseriesRentetarieven (Basisherfinancieringstransacties)
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?TableId=527000090&Lang=N
DescriptionRentetarieven (Basisherfinancieringstransacties)
Number of observations97

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Rentetarieven (Basisherfinancieringstransacties) \tabularnewline
Source & http://www.nbb.be/belgostat/PresentationLinker?TableId=527000090&Lang=N \tabularnewline
Description & Rentetarieven (Basisherfinancieringstransacties) \tabularnewline
Number of observations & 97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15938&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Rentetarieven (Basisherfinancieringstransacties)[/C][/ROW]
[ROW][C]Source[/C][C]http://www.nbb.be/belgostat/PresentationLinker?TableId=527000090&Lang=N[/C][/ROW]
[ROW][C]Description[/C][C]Rentetarieven (Basisherfinancieringstransacties)[/C][/ROW]
[ROW][C]Number of observations[/C][C]97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15938&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15938&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 dataseriesRentetarieven (Basisherfinancieringstransacties)
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?TableId=527000090&Lang=N
DescriptionRentetarieven (Basisherfinancieringstransacties)
Number of observations97


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Belgische uitvoer naar Amerika ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=931000018&Lang=N ; par3 = Belgische uitvoer naar Amerika ;
Parameters (R input):
par1 = Rentetarieven (Basisherfinancieringstransacties) ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=527000090&Lang=N ; par3 = Rentetarieven (Basisherfinancieringstransacties) ;
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')