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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 computationMon, 20 Oct 2008 09:56:05 -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/20/t1224518199m4ymdv0xl59rr54.htm/, Retrieved Sun, 19 May 2024 13:06:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17546, Retrieved Sun, 19 May 2024 13:06:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Exercise 1.13] [Exercise 1.13 (Wo...] [2008-10-01 13:28:34] [b98453cac15ba1066b407e146608df68]
- RMPD    [Univariate Data Series] [Tijdreeks 2: Gaso...] [2008-10-20 15:56:05] [0f30549460cf4ec26d9cf94b1fcf7789] [Current]
- RMP       [Variance Reduction Matrix] [Identification/es...] [2008-12-03 21:31:10] [a57f5cc542637534b8bb5bcb4d37eab1]
- RMP       [(Partial) Autocorrelation Function] [Identification/es...] [2008-12-03 21:36:01] [a57f5cc542637534b8bb5bcb4d37eab1]
- RM          [Spectral Analysis] [Identification/es...] [2008-12-03 21:43:51] [a57f5cc542637534b8bb5bcb4d37eab1]
-               [Spectral Analysis] [Identification/es...] [2008-12-03 21:47:18] [a57f5cc542637534b8bb5bcb4d37eab1]
- RMP             [Standard Deviation-Mean Plot] [Identification/es...] [2008-12-05 10:17:50] [a57f5cc542637534b8bb5bcb4d37eab1]
- RMP               [(Partial) Autocorrelation Function] [Identification/es...] [2008-12-05 10:30:22] [a57f5cc542637534b8bb5bcb4d37eab1]
- RMP                 [ARIMA Backward Selection] [Identification/es...] [2008-12-05 12:40:03] [a57f5cc542637534b8bb5bcb4d37eab1]
-   P                   [ARIMA Backward Selection] [Identification/es...] [2008-12-08 18:33:38] [a57f5cc542637534b8bb5bcb4d37eab1]
-                         [ARIMA Backward Selection] [] [2008-12-13 20:48:17] [888addc516c3b812dd7be4bd54caa358]
- RMP       [(Partial) Autocorrelation Function] [Identification/es...] [2008-12-03 21:39:45] [a57f5cc542637534b8bb5bcb4d37eab1]
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Dataseries X:
0.33
0.33
0.32
0.33
0.34
0.36
0.34
0.33
0.35
0.31
0.28
0.26
0.26
0.26
0.29
0.30
0.30
0.28
0.29
0.29
0.32
0.33
0.29
0.31
0.33
0.36
0.39
0.30
0.27
0.28
0.29
0.30
0.30
0.30
0.31
0.30
0.31
0.29
0.32
0.33
0.35
0.35
0.36
0.40
0.40
0.47
0.43
0.38
0.38
0.40
0.45
0.47
0.45
0.50
0.54
0.55
0.59
0.51
0.50
0.50




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=17546&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=17546&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17546&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'George Udny Yule' @ 72.249.76.132







Univariate Dataseries
Name of dataseriesGasolie: levering > 2000 l
SourceBelgostat
DescriptionPrijs per liter indien levering > 2000 l
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gasolie: levering > 2000 l \tabularnewline
Source & Belgostat \tabularnewline
Description & Prijs per liter indien levering > 2000 l \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17546&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gasolie: levering > 2000 l[/C][/ROW]
[ROW][C]Source[/C][C]Belgostat[/C][/ROW]
[ROW][C]Description[/C][C]Prijs per liter indien levering > 2000 l[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17546&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17546&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 dataseriesGasolie: levering > 2000 l
SourceBelgostat
DescriptionPrijs per liter indien levering > 2000 l
Number of observations60



Parameters (Session):
par1 = Gasolie: levering > 2000 l ; par2 = Belgostat ; par3 = Prijs per liter indien levering > 2000 l ;
Parameters (R input):
par1 = Gasolie: levering > 2000 l ; par2 = Belgostat ; par3 = Prijs per liter indien levering > 2000 l ;
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')