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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, 20 Dec 2009 12:05:51 -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/2009/Dec/20/t1261336026d73sooy5j8mi3iw.htm/, Retrieved Sat, 27 Apr 2024 08:09:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69989, Retrieved Sat, 27 Apr 2024 08:09:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153

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] [De Belgische uitv...] [2009-10-13 01:35:54] [df6326eec97a6ca984a853b142930499]
- RMPD  [Univariate Data Series] [ws8] [2009-11-27 12:04:12] [acdebb2ecda2ddb208f4e14f4a68b9e7]
-   PD    [Univariate Data Series] [consumptiekrediet] [2009-12-04 10:09:44] [acdebb2ecda2ddb208f4e14f4a68b9e7]
-   PD        [Univariate Data Series] [Verkoopprijs per ...] [2009-12-20 19:05:51] [b243db81ea3e1f02fb3382887fb0f701] [Current]
-   PD          [Univariate Data Series] [Aantal ton geïmpo...] [2009-12-30 10:29:06] [acdebb2ecda2ddb208f4e14f4a68b9e7]
-   PD          [Univariate Data Series] [Verkoopprijzen va...] [2009-12-30 11:02:17] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Standard Deviation-Mean Plot] [] [2009-12-30 11:32:10] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Standard Deviation-Mean Plot] [Standard deviatio...] [2009-12-30 11:43:59] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Variance Reduction Matrix] [Variance reductio...] [2009-12-30 11:52:14] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Variance Reduction Matrix] [Variance reductio...] [2009-12-30 12:31:26] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [(Partial) Autocorrelation Function] [Autocorrelatiefun...] [2009-12-30 13:05:14] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [(Partial) Autocorrelation Function] [Autocorrelatiefun...] [2009-12-30 13:18:23] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [(Partial) Autocorrelation Function] [autocorrelatiefun...] [2009-12-30 13:39:49] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [(Partial) Autocorrelation Function] [Autocorrelatiefun...] [2009-12-30 13:42:19] [acdebb2ecda2ddb208f4e14f4a68b9e7]
-   P             [(Partial) Autocorrelation Function] [Autocorrelatiefun...] [2009-12-31 10:14:57] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [(Partial) Autocorrelation Function] [Autocorrelatiefun...] [2009-12-30 13:48:46] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [(Partial) Autocorrelation Function] [Autocorrelatie me...] [2009-12-30 13:51:16] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Spectral Analysis] [Spectrum analyse ...] [2009-12-30 14:05:13] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Spectral Analysis] [Spectrum analyse ...] [2009-12-30 14:40:35] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Spectral Analysis] [spectrumanalyse z...] [2009-12-30 15:30:46] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Spectral Analysis] [Spectrum analyse ...] [2009-12-30 17:20:15] [acdebb2ecda2ddb208f4e14f4a68b9e7]
- RMPD          [Spectral Analysis] [Spectrum analyse ...] [2009-12-30 17:26:08] [acdebb2ecda2ddb208f4e14f4a68b9e7]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
179.2000
182.2400
190.0700
190.3000
195.8800
182.0500
171.9800
166.1100
166.4400
170.3400
177.4900
179.5000
181.6300
186.7400
190.0000
196.1100
206.5700
207.3500
208.0800
211.8000
209.9000
208.5200
193.7700
174.9500
175.0300
167.5600
169.7500
169.9800
165.5900
163.6000
161.4200
160.2300
154.8700
155.6100
152.6900
150.9200
156.6300
159.6000
165.4500
166.4200
168.7700
169.1000
166.4600
169.7500
168.5100
164.3000
155.9600
156.0200
159.0157
160.4933
166.1796
167.0734
169.2398
168.8168
165.8043
161.3460
159.5113
155.8830
152.6651
147.5191

Tables (Output of Computation)





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=69989&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=69989&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69989&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Univariate Dataseries
Name of dataseriesVerkoopprijzen per 100 kg rundvlees
SourceEurostat
DescriptionVerkoopprijzen per 100 kg rundvlees
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Verkoopprijzen per 100 kg rundvlees \tabularnewline
Source & Eurostat \tabularnewline
Description & Verkoopprijzen per 100 kg rundvlees \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69989&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Verkoopprijzen per 100 kg rundvlees[/C][/ROW]
[ROW][C]Source[/C][C]Eurostat[/C][/ROW]
[ROW][C]Description[/C][C]Verkoopprijzen per 100 kg rundvlees[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69989&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69989&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 dataseriesVerkoopprijzen per 100 kg rundvlees
SourceEurostat
DescriptionVerkoopprijzen per 100 kg rundvlees
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Verkoopprijzen per 100 kg rundvlees ; par2 = Eurostat ; par3 = Verkoopprijzen per 100 kg rundvlees ;
Parameters (R input):
par1 = Verkoopprijzen per 100 kg rundvlees ; par2 = Eurostat ; par3 = Verkoopprijzen per 100 kg rundvlees ;
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')