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Description of Statistical Computation

Author's title

Gemiddelde consumptieprijzen in euro van het stoomstrijkijzer met stoomgene...

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 21 Sep 2014 09:55:55 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Sep/21/t14112899600knedsd8mqtklfh.htm/, Retrieved Fri, 10 May 2024 11:59:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235992, Retrieved Fri, 10 May 2024 11:59:40 +0000
QR Codes:

Original text written by user:opgave 1 (versie2)
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157

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] [Gemiddelde consum...] [2014-09-21 08:55:55] [bdd4dd5e616b71837cf1c04213e8fe07] [Current]
- RMPD    [Histogram] [] [2014-09-26 15:10:46] [496126a0222b8a6af13ba264d5a821d5]
- RMPD    [Histogram] [] [2014-09-26 15:19:11] [496126a0222b8a6af13ba264d5a821d5]
- RMPD    [Histogram] [] [2014-09-26 15:25:11] [496126a0222b8a6af13ba264d5a821d5]
- RMPD    [Kernel Density Estimation] [] [2014-09-26 15:46:09] [74be16979710d4c4e7c6647856088456]
- RMPD    [Kernel Density Estimation] [] [2014-09-26 15:46:09] [496126a0222b8a6af13ba264d5a821d5]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
204,12
203,27
203,73
203,7
203,44
203,34
203,34
203,05
202,71
202,51
203,45
203,04
203,04
202,87
202,92
202,87
203,17
203,88
203,88
203,45
203,22
202,11
202,5
202,86
202,86
203,8
203,78
204,53
204,44
204,14
204,14
204,04
204,68
205,01
204,93
204,34
204,34
203,87
202,47
201,95
201,86
200,33
200,33
200,33
200,75
201,86
202,77
202,85
202,85
202,84
202,94
203,05
203,45
204,19
204,18
204,47
204,78
206,05
206,32
206,36
205,21
205,35
205,94
204,57
204,27
204,86
204,66
204,79
205,58
205,63
205,12
204,96

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235992&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235992&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235992&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Univariate Dataseries
Name of dataseriesGemiddelde consumptieprijzen in euro van het strijkijzer met stoomgenerator
Sourcehttp://www.belgostat.be
DescriptionGemiddelde consumptieprijzen in euro: klein elektro: stoomstrijkijzer met stoomgenerator
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gemiddelde consumptieprijzen in euro van het strijkijzer met stoomgenerator \tabularnewline
Source & http://www.belgostat.be \tabularnewline
Description & Gemiddelde consumptieprijzen in euro: klein elektro: stoomstrijkijzer met stoomgenerator \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235992&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gemiddelde consumptieprijzen in euro van het strijkijzer met stoomgenerator[/C][/ROW]
[ROW][C]Source[/C][C]http://www.belgostat.be[/C][/ROW]
[ROW][C]Description[/C][C]Gemiddelde consumptieprijzen in euro: klein elektro: stoomstrijkijzer met stoomgenerator[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235992&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235992&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 consumptieprijzen in euro van het strijkijzer met stoomgenerator
Sourcehttp://www.belgostat.be
DescriptionGemiddelde consumptieprijzen in euro: klein elektro: stoomstrijkijzer met stoomgenerator
Number of observations72


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Gemiddelde consumptieprijzen in euro van het strijkijzer met stoomgenerator ; par2 = http://www.belgostat.be ; par3 = Gemiddelde consumptieprijzen in euro: klein elektro: stoomstrijkijzer met stoomgenerator ; par4 = 12 ;
Parameters (R input):
par1 = Gemiddelde consumptieprijzen in euro van het strijkijzer met stoomgenerator ; par2 = http://www.belgostat.be ; par3 = Gemiddelde consumptieprijzen in euro: klein elektro: stoomstrijkijzer met stoomgenerator ; 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')