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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 computationWed, 21 Oct 2009 12:18:25 -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/2009/Oct/21/t1256149189mn50nqpi1gus2qy.htm/, Retrieved Thu, 02 May 2024 07:05:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49567, Retrieved Thu, 02 May 2024 07:05:10 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsY[t] / X[t] = c + e[t] Werkloosheidsverhouding tussen +25j en -25j
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
-   PD        [Univariate Data Series] [WS 3: Part 2] [2009-10-21 18:18:25] [b9056af0304697100f456398102f1287] [Current]
- RMPD          [Univariate Explorative Data Analysis] [WS 3: Part 2: Uni...] [2009-10-21 18:23:13] [8cf9233b7464ea02e32be3b30fdac052]
-  M D            [Univariate Explorative Data Analysis] [Paper: Univariate...] [2009-12-13 13:44:24] [8cf9233b7464ea02e32be3b30fdac052]
-    D              [Univariate Explorative Data Analysis] [Paper: Univariate...] [2009-12-13 13:48:07] [8cf9233b7464ea02e32be3b30fdac052]
- RMPD          [Central Tendency] [WS 3: Part 2: Cen...] [2009-10-21 18:26:29] [8cf9233b7464ea02e32be3b30fdac052]
-   PD          [Univariate Data Series] [WS 3: Part 2: Y(t...] [2009-10-21 18:44:19] [8cf9233b7464ea02e32be3b30fdac052]
- RMPD          [Univariate Explorative Data Analysis] [WS 3: Part 2: Y(t...] [2009-10-21 18:48:00] [8cf9233b7464ea02e32be3b30fdac052]
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Dataseries X:
3,7105
3,6810
2,8824
2,7716
2,8075
3,1007
3,2734
3,4148
3,5462
3,6457
3,7869
3,8974
4,0625
4,0354
3,1678
3,0064
3,0000
3,1633
3,3504
3,5227
3,7440
3,7967
3,9573
4,0351
4,1622
4,1161
3,3056
3,1733
3,1611
3,3806
3,6016
3,8103
3,7949
3,9459
4,0667
4,1569
4,3789
4,3656
3,4758
3,3385
3,3710
3,5826
3,8113
3,8952
3,9238
4,0198
4,1895
4,2688
4,5833
4,4828
3,5603
3,4417
3,4274
3,6422
3,7810
3,8224
3,8440
3,8899
3,9630
4,0187




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49567&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49567&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49567&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Univariate Dataseries
Name of dataseriesY[t] / X[t] = c + e[t]
Sourcenot disclosed
DescriptionWerkloosheidsverhouding +25j & -25j
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Y[t] / X[t] = c + e[t] \tabularnewline
Source & not disclosed \tabularnewline
Description & Werkloosheidsverhouding +25j & -25j \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49567&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Y[t] / X[t] = c + e[t][/C][/ROW]
[ROW][C]Source[/C][C]not disclosed[/C][/ROW]
[ROW][C]Description[/C][C]Werkloosheidsverhouding +25j & -25j[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49567&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49567&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 dataseriesY[t] / X[t] = c + e[t]
Sourcenot disclosed
DescriptionWerkloosheidsverhouding +25j & -25j
Number of observations60



Parameters (Session):
par1 = Y[t] / X[t] = c + e[t] ; par2 = not disclosed ; par3 = Werkloosheidsverhouding +25j & -25j ;
Parameters (R input):
par1 = Y[t] / X[t] = c + e[t] ; par2 = not disclosed ; par3 = Werkloosheidsverhouding +25j & -25j ;
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')