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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 09 Feb 2012 07:45:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/09/t1328791999mkyy1z9kg2dybac.htm/, Retrieved Sat, 02 May 2026 11:28:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=161967, Retrieved Sat, 02 May 2026 11:28:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact441

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] [] [2012-02-09 12:45:38] [91562a5fde803f4db5c5e8dd5d4cb92f] [Current]
- RMP     [Univariate Data Series] [Gemiddelde consum...] [2012-02-09 16:49:41] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 16:54:14] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 16:58:23] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:07:50] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:09:39] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:17:51] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:19:02] [19426082930aa7695454d3545bc0a429]
- RMPD    [Kernel Density Estimation] [Dichtheidsgrafiek...] [2012-02-09 17:30:42] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:41:14] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:42:35] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:45:44] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:47:51] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:51:20] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:52:41] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:54:30] [19426082930aa7695454d3545bc0a429]
- RMPD    [Histogram] [] [2012-02-09 17:55:47] [19426082930aa7695454d3545bc0a429]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,45
1,45
1,45
1,44
1,44
1,44
1,44
1,45
1,44
1,45
1,46
1,46
1,47
1,46
1,46
1,45
1,45
1,45
1,44
1,45
1,44
1,45
1,47
1,48
1,5
1,5
1,52
1,54
1,55
1,54
1,55
1,54
1,57
1,61
1,62
1,64
1,63
1,63
1,67
1,7
1,69
1,68
1,67
1,68
1,66
1,65
1,65
1,66
1,67
1,67
1,65
1,65
1,65
1,65
1,66
1,66
1,67
1,67
1,67
1,66

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' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161967&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161967&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161967&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' @ jenkins.wessa.net






Univariate Dataseries
Name of dataseriesGemiddelde consumptieprijs hondenbrokken (euro)
Sourcebelgostat
DescriptionGemiddelde consumptieprijs hondenbrokken (euro)
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gemiddelde consumptieprijs hondenbrokken (euro) \tabularnewline
Source & belgostat \tabularnewline
Description & Gemiddelde consumptieprijs hondenbrokken (euro) \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161967&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gemiddelde consumptieprijs hondenbrokken (euro)[/C][/ROW]
[ROW][C]Source[/C][C]belgostat[/C][/ROW]
[ROW][C]Description[/C][C]Gemiddelde consumptieprijs hondenbrokken (euro)[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161967&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161967&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 dataseriesGemiddelde consumptieprijs hondenbrokken (euro)
Sourcebelgostat
DescriptionGemiddelde consumptieprijs hondenbrokken (euro)
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Gemiddelde consumptieprijs hondenbrokken (euro) ; par2 = belgostat ; par3 = Gemiddelde consumptieprijs hondenbrokken (euro) ; par4 = 12 ;
Parameters (R input):
par1 = Gemiddelde consumptieprijs hondenbrokken (euro) ; par2 = belgostat ; par3 = Gemiddelde consumptieprijs hondenbrokken (euro) ; 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')