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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, 13 Dec 2010 20:53:52 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/13/t1292273517sx6qp1vg4lx4bl3.htm/, Retrieved Mon, 06 May 2024 17:17:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109193, Retrieved Mon, 06 May 2024 17:17:09 +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)
-     [(Partial) Autocorrelation Function] [] [2010-12-13 08:35:23] [21eff0c210342db4afbdafe426a7c254]
-   PD  [(Partial) Autocorrelation Function] [] [2010-12-13 09:29:04] [21eff0c210342db4afbdafe426a7c254]
-    D    [(Partial) Autocorrelation Function] [] [2010-12-13 10:05:17] [21eff0c210342db4afbdafe426a7c254]
- RM D      [ARIMA Forecasting] [] [2010-12-13 10:48:48] [21eff0c210342db4afbdafe426a7c254]
- RMPD          [Univariate Data Series] [] [2010-12-13 20:53:52] [81d69fb83507cea26168920232cdff1b] [Current]
- RMPD            [Histogram] [] [2010-12-14 14:33:39] [21eff0c210342db4afbdafe426a7c254]
- RMPD              [Univariate Explorative Data Analysis] [] [2010-12-16 14:06:01] [21eff0c210342db4afbdafe426a7c254]
- RMPD              [Univariate Data Series] [] [2010-12-16 14:19:11] [de4adef75375d243bafd27c3fb0ddf4c]
-   PD              [Histogram] [] [2010-12-16 14:23:25] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD              [Univariate Explorative Data Analysis] [] [2010-12-16 14:27:05] [de4adef75375d243bafd27c3fb0ddf4c]
-    D                [Univariate Explorative Data Analysis] [] [2010-12-20 18:48:19] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD                [(Partial) Autocorrelation Function] [] [2010-12-20 19:31:04] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD                [(Partial) Autocorrelation Function] [] [2010-12-20 19:46:13] [de4adef75375d243bafd27c3fb0ddf4c]
-   P                   [(Partial) Autocorrelation Function] [] [2010-12-21 15:20:18] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD                [Variance Reduction Matrix] [] [2010-12-20 20:00:09] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD                [Standard Deviation-Mean Plot] [] [2010-12-20 20:07:24] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD                [Spectral Analysis] [] [2010-12-20 20:14:04] [de4adef75375d243bafd27c3fb0ddf4c]
-   P                   [Spectral Analysis] [] [2010-12-21 16:58:39] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD                [Univariate Data Series] [] [2010-12-20 20:24:23] [de4adef75375d243bafd27c3fb0ddf4c]
-   PD                [Univariate Explorative Data Analysis] [] [2010-12-20 20:29:24] [de4adef75375d243bafd27c3fb0ddf4c]
-   P                   [Univariate Explorative Data Analysis] [] [2010-12-21 15:07:46] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD                [ARIMA Backward Selection] [] [2010-12-20 20:35:32] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD                [ARIMA Forecasting] [] [2010-12-20 20:44:58] [de4adef75375d243bafd27c3fb0ddf4c]
- RMPD              [Variance Reduction Matrix] [] [2010-12-16 14:36:01] [de4adef75375d243bafd27c3fb0ddf4c]
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Dataseries X:
56.47
62.36
59.71
60.93
68.00
68.61
68.29
72.51
71.81
61.97
57.95
58.13
61.00
53.40
57.58
60.60
65.10
65.10
68.19
73.67
70.13
76.91
82.15
91.27
89.43
90.82
93.75
101.84
109.05
122.77
131.52
132.55
114.57
99.29
72.69
54.04
41.53
43.91
41.76
46.95
50.28
58.10
69.13
64.65
71.63
68.38
74.08
77.56
74.88
77.09
74.70
79.30
84.19
75.56
74.73
74.49
75.93
76.14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109193&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109193&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109193&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Univariate Dataseries
Name of dataseriesOlieprijs
Source
Description
Number of observations58

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Olieprijs \tabularnewline
Source &  \tabularnewline
Description &  \tabularnewline
Number of observations & 58 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109193&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Olieprijs[/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]58[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109193&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109193&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 dataseriesOlieprijs
Source
Description
Number of observations58



Parameters (Session):
par1 = Olieprijs ; par4 = 12 ;
Parameters (R input):
par1 = Olieprijs ; par2 = ; par3 = ; par4 = 12 ;
R code (references can be found in the software module):
if (par4 != 'No season') {
par4 <- as.numeric(par4)
if (par4 < 4) par4 <- 12
}
summary(x)
n <- length(x)
bitmap(file='test1.png')
if (par4=='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,10))
}
if (par4!='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,par4))
grid(nx=0,ny=NULL,col='black')
abline(v=seq(1,n,par4),col='black',lty='dotted')
}
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')