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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 computationSun, 12 Oct 2008 06:16:48 -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/12/t1223813836n2mbgmxhvbdigdw.htm/, Retrieved Fri, 17 May 2024 06:38:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15451, Retrieved Fri, 17 May 2024 06:38:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Univariate Data Series] [3de tijdreeks (om...] [2008-10-12 12:16:48] [55ca0ca4a201c9689dcf5fae352c92eb] [Current]
Feedback Forum
2008-10-17 12:01:14 [Tamara Witters] [reply
Dit lijkt mij geen ideale tijdreeks.
Er zijn forse stijgingen en dalingen.
vb periode 31:van 90 naar 123

  2008-10-19 19:46:32 [Stéphanie Claes] [reply
Deze tijdreeks vertoont inderdaad zeer sterke stijgingen en dalingen, dus ik deel in de hiervoor gegeven mening dat dit geen ideale tijdreeks is.
2008-10-20 13:39:01 [9142cf052ad32d043faa9486189092cf] [reply
Ik moet mij hier aansluiten bij de twee boven vernoemde meningen. De tijdreeks vertoont te veel ups en downs bv in Periode 43. Het aanhouden van deze reeks kan het je in de toekomst moeilijk maken.

Post a new message
Dataseries X:
99.29
98.69
107.92
101.03
97.55
103.02
94.08
94.12
115.08
116.48
103.42
112.51
95.55
97.53
119.26
100.94
97.73
115.25
92.8
99.2
118.69
110.12
110.26
112.9
102.17
99.38
116.1
103.77
101.81
113.74
89.67
99.5
122.89
108.61
114.37
110.5
104.08
103.64
121.61
101.14
115.97
120.12
95.97
105.01
124.68
123.89
123.61
114.76
108.75
106.09
123.17
106.16
115.18
120.6
109.48
114.44
121.44
129.48
124.32
112.59




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=15451&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=15451&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15451&T=0

As an alternative you can also use a 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 dataseriesOmzet consumptiegoederen jaar 2000=100
Sourcehttp://www.statbel.fgov.be/indicators/toi_nl.asp
DescriptionGeeft de omzet van de consumptiegoederen weer tov het jaar 2000
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Omzet consumptiegoederen jaar 2000=100 \tabularnewline
Source & http://www.statbel.fgov.be/indicators/toi_nl.asp \tabularnewline
Description & Geeft de omzet van de consumptiegoederen weer tov het jaar 2000 \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15451&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Omzet consumptiegoederen jaar 2000=100[/C][/ROW]
[ROW][C]Source[/C][C]http://www.statbel.fgov.be/indicators/toi_nl.asp[/C][/ROW]
[ROW][C]Description[/C][C]Geeft de omzet van de consumptiegoederen weer tov het jaar 2000[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15451&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15451&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Univariate Dataseries
Name of dataseriesOmzet consumptiegoederen jaar 2000=100
Sourcehttp://www.statbel.fgov.be/indicators/toi_nl.asp
DescriptionGeeft de omzet van de consumptiegoederen weer tov het jaar 2000
Number of observations60



Parameters (Session):
par1 = Omzet consumptiegoederen jaar 2000=100 ; par2 = http://www.statbel.fgov.be/indicators/toi_nl.asp ; par3 = Geeft de omzet van de consumptiegoederen weer tov het jaar 2000 ;
Parameters (R input):
par1 = Omzet consumptiegoederen jaar 2000=100 ; par2 = http://www.statbel.fgov.be/indicators/toi_nl.asp ; par3 = Geeft de omzet van de consumptiegoederen weer tov het jaar 2000 ;
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')