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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 12 Oct 2009 14:58:35 -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/12/t12553812514ccvdgqr8zvcfs3.htm/, Retrieved Sun, 28 Apr 2024 23:25:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46059, Retrieved Sun, 28 Apr 2024 23:25:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbel 20
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [tijdreeks 4] [2009-10-12 20:58:35] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-  MPD    [Univariate Data Series] [paper tijdreeks 1] [2009-12-13 08:54:17] [95cead3ebb75668735f848316249436a]
- RMP       [(Partial) Autocorrelation Function] [deel1 D=d=0] [2009-12-15 19:55:59] [95cead3ebb75668735f848316249436a]
-   P         [(Partial) Autocorrelation Function] [deel1 D=1] [2009-12-15 20:01:45] [95cead3ebb75668735f848316249436a]
-   P         [(Partial) Autocorrelation Function] [deel1 D=d=1] [2009-12-15 20:05:42] [95cead3ebb75668735f848316249436a]
- RMP           [Variance Reduction Matrix] [deel1 Variance Re...] [2009-12-15 20:07:30] [95cead3ebb75668735f848316249436a]
- RMP             [Spectral Analysis] [deel1 spectrum D=d=0] [2009-12-15 20:10:23] [95cead3ebb75668735f848316249436a]
- RMP             [Spectral Analysis] [deel1 spectrum D=1] [2009-12-15 20:17:48] [95cead3ebb75668735f848316249436a]
- RMP             [Spectral Analysis] [deel1 spectrum D=d=1] [2009-12-15 20:23:17] [95cead3ebb75668735f848316249436a]
- RMP           [Standard Deviation-Mean Plot] [deel1 st dev mean...] [2009-12-15 20:15:35] [95cead3ebb75668735f848316249436a]
- RMPD      [(Partial) Autocorrelation Function] [deel2 acf D=d=0] [2009-12-15 20:37:16] [95cead3ebb75668735f848316249436a]
- RMPD      [(Partial) Autocorrelation Function] [deel2 acf d=1] [2009-12-15 20:46:03] [95cead3ebb75668735f848316249436a]
- RMPD      [(Partial) Autocorrelation Function] [deel2 ACF d=2] [2009-12-15 20:48:16] [95cead3ebb75668735f848316249436a]
- RMPD      [Variance Reduction Matrix] [deel2 VRM] [2009-12-15 20:51:30] [95cead3ebb75668735f848316249436a]
- RMPD      [Spectral Analysis] [deel2 spectrum D=d=0] [2009-12-15 20:52:46] [95cead3ebb75668735f848316249436a]
- RMPD      [Spectral Analysis] [deel2 spectrum d=1] [2009-12-15 20:54:41] [95cead3ebb75668735f848316249436a]
- RMPD      [Spectral Analysis] [deel2 spectrum d=2] [2009-12-15 20:56:39] [95cead3ebb75668735f848316249436a]
- RMPD      [Standard Deviation-Mean Plot] [deel2 st dev mean...] [2009-12-15 20:58:02] [95cead3ebb75668735f848316249436a]
- RMPD      [ARIMA Backward Selection] [deel2 arima] [2009-12-15 21:00:15] [95cead3ebb75668735f848316249436a]
- RMP         [Variance Reduction Matrix] [deel2 vrm] [2009-12-16 19:11:24] [95cead3ebb75668735f848316249436a]
- RMPD      [Bivariate Granger Causality] [gr causality 1] [2009-12-15 22:09:12] [95cead3ebb75668735f848316249436a]
-  MPD    [Univariate Data Series] [paper tijdreeks 2] [2009-12-13 09:00:31] [95cead3ebb75668735f848316249436a]
-           [Univariate Data Series] [paper tijdreeks 2] [2009-12-13 09:03:45] [95cead3ebb75668735f848316249436a]
- RM D        [Pearson Correlation] [pearson correlatie] [2009-12-13 09:11:22] [95cead3ebb75668735f848316249436a]
-    D        [Univariate Data Series] [paper tijdreeks 2] [2009-12-14 07:27:46] [95cead3ebb75668735f848316249436a]
-    D        [Univariate Data Series] [paper bel20] [2009-12-14 07:31:14] [95cead3ebb75668735f848316249436a]
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Dataseries X:
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34
2197.82
2014.45
1862.83
1905.41
1810.99
1670.07
1864.44
2052.02
2029.6
2070.83
2293.41
2443.27




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=46059&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=46059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46059&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 dataseriesbel 20
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null
Descriptionbel 20
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & bel 20 \tabularnewline
Source & http://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null \tabularnewline
Description & bel 20 \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46059&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]bel 20[/C][/ROW]
[ROW][C]Source[/C][C]http://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null[/C][/ROW]
[ROW][C]Description[/C][C]bel 20[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46059&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 dataseriesbel 20
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null
Descriptionbel 20
Number of observations60



Parameters (Session):
par1 = bel 20 ; par2 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null ; par3 = bel 20 ;
Parameters (R input):
par1 = bel 20 ; par2 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null ; par3 = bel 20 ;
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')