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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 computationSun, 14 Dec 2008 04:54:22 -0700
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/Dec/14/t1229255727km62w22368jblsu.htm/, Retrieved Sat, 27 Apr 2024 20:40:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33313, Retrieved Sat, 27 Apr 2024 20:40:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact1272

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2008-12-14 11:54:22] [f6a332ba2d530c028d935c5a5bbb53af] [Current]
-   P     [Univariate Data Series] [] [2008-12-14 16:00:14] [02b59b53a6e71d56ed6fa0367fb87095]
-  MP     [Univariate Data Series] [Data WS9 Faillise...] [2010-12-03 13:10:46] [6ca0fc48dd5333d51a15728999009c83]
- RMP     [(Partial) Autocorrelation Function] [workshop 9 - 1] [2010-12-03 13:15:48] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMP     [(Partial) Autocorrelation Function] [workshop 9 - 1] [2010-12-03 13:19:03] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-   PD      [(Partial) Autocorrelation Function] [paper - time-seri...] [2010-12-10 14:01:10] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-   PD        [(Partial) Autocorrelation Function] [paper - time-seri...] [2010-12-10 15:30:46] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMPD        [ARIMA Backward Selection] [paper - time-seri...] [2010-12-10 15:35:16] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMPD        [ARIMA Forecasting] [paper - time-seri...] [2010-12-10 15:44:03] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMPD        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [paper - one-way-a...] [2010-12-15 15:13:20] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-   P           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [paper - chi-squared] [2010-12-15 18:25:43] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-   PD      [(Partial) Autocorrelation Function] [paper - time-seri...] [2010-12-10 14:05:08] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMP     [(Partial) Autocorrelation Function] [workshop 9 - 2] [2010-12-03 13:23:12] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMP       [ARIMA Forecasting] [workshop 9 - 7] [2010-12-03 17:21:13] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
- RMP       [ARIMA Backward Selection] [workshop 9 - 8] [2010-12-03 17:23:59] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-  MP     [Univariate Data Series] [Data WS9 aantal f...] [2010-12-03 13:26:10] [49c7a512c56172bc46ae7e93e5b58c1c]
-   PD      [Univariate Data Series] [Statistiek Paper 5] [2010-12-21 18:48:09] [a90833f600c49a37df2affa5b2163a2e]
- RMP     [(Partial) Autocorrelation Function] [WS9 autocorrelatie] [2010-12-03 14:37:51] [65eb19f81eab2b6e672eafaed2a27190]
-           [(Partial) Autocorrelation Function] [] [2010-12-07 21:29:26] [afdb2fc47981b6a655b732edc8065db9]
- RMP     [Variance Reduction Matrix] [WS9 VRM] [2010-12-03 14:47:00] [65eb19f81eab2b6e672eafaed2a27190]
-   P       [Variance Reduction Matrix] [WS9 VRM] [2010-12-03 19:50:23] [65eb19f81eab2b6e672eafaed2a27190]
-             [Variance Reduction Matrix] [] [2010-12-07 21:53:22] [afdb2fc47981b6a655b732edc8065db9]
-  MP     [Univariate Data Series] [ws9] [2010-12-06 10:48:40] [e4076051fbfb461c886b1e223cd7862f]
-  MP     [Univariate Data Series] [tijdreeks WS9] [2010-12-06 18:54:58] [c289bfbb56808c5d93a0f55b5d39f5bd]
- RMP     [Standard Deviation-Mean Plot] [] [2010-12-07 09:03:14] [d7b28a0391ab3b2ddc9f9fba95a43f33]
- RMP     [(Partial) Autocorrelation Function] [] [2010-12-07 09:20:25] [d7b28a0391ab3b2ddc9f9fba95a43f33]
-  MP     [Univariate Data Series] [workshop9data] [2010-12-07 09:35:28] [3fb95cad3bbcce10c72dbbcc5bec5662]
-   PD      [Univariate Data Series] [WS10Appelsienen] [2010-12-14 18:01:47] [3fb95cad3bbcce10c72dbbcc5bec5662]
-   PD      [Univariate Data Series] [WS10citroenen] [2010-12-14 18:05:44] [3fb95cad3bbcce10c72dbbcc5bec5662]
-   PD      [Univariate Data Series] [WS10bananen] [2010-12-14 18:09:36] [3fb95cad3bbcce10c72dbbcc5bec5662]
- RMP     [(Partial) Autocorrelation Function] [] [2010-12-07 13:42:19] [dd4fe494cff2ee46c12b15bdc7b848ca]
-   P       [(Partial) Autocorrelation Function] [] [2010-12-07 13:48:04] [dd4fe494cff2ee46c12b15bdc7b848ca]
-             [(Partial) Autocorrelation Function] [] [2010-12-07 13:50:06] [dd4fe494cff2ee46c12b15bdc7b848ca]
- RM          [Spectral Analysis] [] [2010-12-07 14:05:43] [dd4fe494cff2ee46c12b15bdc7b848ca]
-               [Spectral Analysis] [] [2010-12-07 14:08:00] [dd4fe494cff2ee46c12b15bdc7b848ca]
-                 [Spectral Analysis] [] [2010-12-07 14:11:43] [dd4fe494cff2ee46c12b15bdc7b848ca]
- RM              [Variance Reduction Matrix] [] [2010-12-07 14:15:02] [dd4fe494cff2ee46c12b15bdc7b848ca]
-   PD              [Variance Reduction Matrix] [] [2010-12-21 20:42:42] [dd4fe494cff2ee46c12b15bdc7b848ca]
- RM              [Standard Deviation-Mean Plot] [] [2010-12-07 14:26:40] [dd4fe494cff2ee46c12b15bdc7b848ca]
-   PD              [Standard Deviation-Mean Plot] [] [2010-12-22 15:45:02] [dd4fe494cff2ee46c12b15bdc7b848ca]
-   P           [Spectral Analysis] [] [2010-12-12 22:25:49] [5b5e2f42cf221276958b46f2b8444c18]
-   PD          [Spectral Analysis] [] [2010-12-21 20:29:14] [dd4fe494cff2ee46c12b15bdc7b848ca]
-   PD          [Spectral Analysis] [] [2010-12-21 20:38:56] [dd4fe494cff2ee46c12b15bdc7b848ca]
-           [(Partial) Autocorrelation Function] [WS 9 1] [2010-12-07 17:42:29] [eeb33d252044f8583501f5ba0605ad6d]
-   P       [(Partial) Autocorrelation Function] [WS 9 2] [2010-12-07 17:56:04] [eeb33d252044f8583501f5ba0605ad6d]
-   P       [(Partial) Autocorrelation Function] [WS 9 3] [2010-12-07 18:01:09] [eeb33d252044f8583501f5ba0605ad6d]
-   P       [(Partial) Autocorrelation Function] [] [2010-12-12 16:46:37] [5b5e2f42cf221276958b46f2b8444c18]
-   P       [(Partial) Autocorrelation Function] [] [2010-12-12 22:07:32] [5b5e2f42cf221276958b46f2b8444c18]
-   P       [(Partial) Autocorrelation Function] [] [2010-12-12 22:07:32] [5b5e2f42cf221276958b46f2b8444c18]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
46
62
66
59
58
61
41
27
58
70
49
59
44
36
72
45
56
54
53
35
61
52
47
51
52
63
74
45
51
64
36
30
55
64
39
40
63
45
59
55
40
64
27
28
45
57
45
69
60
56
58
50
51
53
37
22
55
70
62
58
39
49
58
47
42
62
39
40
72
70
54
65

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33313&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33313&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33313&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Univariate Dataseries
Name of dataseriesaantal faillisementen
Sourceecodata
Descriptionhttp://ecodata.economie.fgov.be/mdn/faillissementen.jsp?ROWDIMENSIONS=Jaar%2CActiviteit&ROWDIMENSIONS=Maand&COLUMNDIMENSIONS=Geografische+zone&STATISTICSPERMEASURE=number:SUM
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & aantal faillisementen \tabularnewline
Source & ecodata \tabularnewline
Description & http://ecodata.economie.fgov.be/mdn/faillissementen.jsp?ROWDIMENSIONS=Jaar%2CActiviteit&ROWDIMENSIONS=Maand&COLUMNDIMENSIONS=Geografische+zone&STATISTICSPERMEASURE=number:SUM \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33313&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]aantal faillisementen[/C][/ROW]
[ROW][C]Source[/C][C]ecodata[/C][/ROW]
[ROW][C]Description[/C][C]http://ecodata.economie.fgov.be/mdn/faillissementen.jsp?ROWDIMENSIONS=Jaar%2CActiviteit&ROWDIMENSIONS=Maand&COLUMNDIMENSIONS=Geografische+zone&STATISTICSPERMEASURE=number:SUM[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33313&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33313&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 dataseriesaantal faillisementen
Sourceecodata
Descriptionhttp://ecodata.economie.fgov.be/mdn/faillissementen.jsp?ROWDIMENSIONS=Jaar%2CActiviteit&ROWDIMENSIONS=Maand&COLUMNDIMENSIONS=Geografische+zone&STATISTICSPERMEASURE=number:SUM
Number of observations72


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = aantal faillisementen ; par2 = ecodata ; par3 = http://ecodata.economie.fgov.be/mdn/faillissementen.jsp?ROWDIMENSIONS=Jaar%2CActiviteit&ROWDIMENSIONS=Maand&COLUMNDIMENSIONS=Geografische+zone&STATISTICSPERMEASURE=number:SUM ;
Parameters (R input):
par1 = aantal faillisementen ; par2 = ecodata ; par3 = http://ecodata.economie.fgov.be/mdn/faillissementen.jsp?ROWDIMENSIONS=Jaar%2CActiviteit&ROWDIMENSIONS=Maand&COLUMNDIMENSIONS=Geografische+zone&STATISTICSPERMEASURE=number:SUM ;
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')