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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 computationTue, 12 Feb 2013 08:22:58 -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/2013/Feb/12/t1360675682z14fk5emm9lv3ff.htm/, Retrieved Sun, 28 Apr 2024 22:03:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206352, Retrieved Sun, 28 Apr 2024 22:03:43 +0000
QR Codes:

Original text written by user:De evolutie van de gemiddelde prijs van een maaltijd in een restaurant. De grafiek geeft weer dat de gemiddelde prijs €9,11 (2006-01) duurder wordt € 10,85 (2010-10)
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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...] [2013-02-04 23:50:25] [812272bcf10cd97986bd11f9adf3f369]
- R PD    [Univariate Data Series] [] [2013-02-12 13:22:58] [1f4ca98ed28755372cdf3133ccb2c2d2] [Current]
- RMPD      [Histogram] [Maaltijd in resta...] [2013-02-12 19:06:12] [812272bcf10cd97986bd11f9adf3f369]
- RMPD      [Histogram] [Maaltijd in resta...] [2013-02-12 19:15:03] [812272bcf10cd97986bd11f9adf3f369]
- RMPD      [Histogram] [Maaltijd in resta...] [2013-02-12 19:25:51] [812272bcf10cd97986bd11f9adf3f369]
- RMPD      [Kernel Density Estimation] [Maaltijd in resta...] [2013-02-12 19:30:52] [812272bcf10cd97986bd11f9adf3f369]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9,11	
9,06	
9,11	
9,13	
9,13	
9,19	
9,2	
9,23	
9,24	
9,28	
9,32	
9,32	
9,32	
9,36	
9,37	
9,38	
9,41	
9,44	
9,44	
9,44	
9,47	
9,48	
9,56	
9,58	
9,56	
9,58	
9,7	
9,74	
9,76	
9,78	
9,84	
9,88	
9,96	
9,97	
9,96	
9,96	
9,96	
10,02	
10,08	
10,09	
10,12	
10,14	
10,17	
10,22	
10,25	
10,25	
10,26	
10,34	
10,33	
10,3	
10,33	
10,33	
10,37	
10,44	
10,45	
10,45	
10,44	
10,43	
10,4	
10,43	
10,47	
10,52	
10,55	
10,5	
10,44	
10,47	
10,5	
10,54	
10,55	
10,53	
10,54	
10,54

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206352&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206352&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206352&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'Gertrude Mary Cox' @ cox.wessa.net






Univariate Dataseries
Name of dataseriesGemiddelde consumptieprijzen per product: catering - restaurants en caf�s
SourceBelgostat (NBB)
DescriptionGemiddelde consumptieprijzen per product: catering - restaurants en caf�s
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gemiddelde consumptieprijzen per product: catering - restaurants en caf�s  \tabularnewline
Source & Belgostat (NBB) \tabularnewline
Description & Gemiddelde consumptieprijzen per product: catering - restaurants en caf�s  \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206352&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gemiddelde consumptieprijzen per product: catering - restaurants en caf�s [/C][/ROW]
[ROW][C]Source[/C][C]Belgostat (NBB)[/C][/ROW]
[ROW][C]Description[/C][C]Gemiddelde consumptieprijzen per product: catering - restaurants en caf�s [/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206352&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206352&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 per product: catering - restaurants en caf�s
SourceBelgostat (NBB)
DescriptionGemiddelde consumptieprijzen per product: catering - restaurants en caf�s
Number of observations72


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Gemiddelde consumptieprijzen per product: catering - restaurants en cafés ; par2 = Belgostat (NBB) ; par3 = Gemiddelde consumptieprijzen per product: catering - restaurants en caf�s ; par4 = 12 ;
Parameters (R input):
par1 = Gemiddelde consumptieprijzen per product: catering - restaurants en cafés ; par2 = Belgostat (NBB) ; par3 = Gemiddelde consumptieprijzen per product: catering - restaurants en caf�s ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Gemiddelde consumptieprijzen per product: catering - restaurants en caf�s '
par2 <- 'Belgostat (NBB)'
par1 <- 'Gemiddelde consumptieprijzen per product: catering - restaurants en caf�s '
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')