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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 17:06:08 -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/t1223939317ny943rqxgh9zjbe.htm/, Retrieved Sun, 19 May 2024 14:42:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16150, Retrieved Sun, 19 May 2024 14:42:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177

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] [Inflatie] [2008-10-13 23:06:08] [d6e9f26c3644bfc30f06303d9993b878] [Current]
Feedback Forum
2008-10-20 16:24:17 [df2ed12c9b09685cd516719b004050c5] [reply] 
Er zijn negatieve observaties, het beste is om een constant positief getal op te tellen bij al de observaties (deze constante zoek je door eerst te bepalen welk het laagste negatieve getal is). Dit zal verdere bewerkingen met de tijdreeksen zoals bv logaritmes vergemakkelijken (hier kan je niet werken met negatieve getallen). Verder merk ik op dat de grafiek in een diepe dal begin en zo opklimt, deze dal kan voor moeilijkheden zorgen. Omdat de structuur van de grafiek plots veranderd, is het mogelijk dat de verdere resultaten met de tijdreeksen een vertekend beeld krijgen. De grafiek is niet echt stabiel en heeft hier en daar outliers. De eerste outliers kan je misschien wegknippen en de grafiek achteraan langer maken, of je moet een verantwoording kunnen geven voor deze outliers.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.6
1.1
1.4
1.4
1.3
1.4
-0.1
1.8
1.5
1.5
1.4
1.6
1.6
1.6
1.4
1.7
1.8
1.9
2.2
2.1
2.4
2.6
2.8
2.7
2.6
2.9
2.8
2.2
2.2
2.2
2
2
1.7
1.4
1.3
1.4
1.3
1.3
1.4
2
1.7
1.8
1.7
1.6
1.7
1.9
1.8
1.7
1.6
1.8
1.6
1.5
1.5
1.3
1.4
1.4
1.3
1.3
1.2
1.1
1.4
1.2
1.5
1.1
1.3
1.5
1.1
1.4
1.3
1.5
1.6
1.7

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'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 & 2 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=16150&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16150&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16150&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Univariate Dataseries
Name of dataseriesInflatie
Source
Description
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Inflatie \tabularnewline
Source &  \tabularnewline
Description &  \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16150&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Inflatie[/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16150&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16150&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 dataseriesInflatie
Source
Description
Number of observations72


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Inflatie ;
Parameters (R input):
par1 = Inflatie ; par2 = ; par3 = ;
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')