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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, 16 Feb 2016 10:51:00 +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/2016/Feb/16/t1455619959q83183ddk4b81e5.htm/, Retrieved Mon, 06 May 2024 10:03:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292013, Retrieved Mon, 06 May 2024 10:03:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

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] [] [2016-02-16 10:42:23] [b645833c54bd2f130859241aaeaa0537]
- R P     [Univariate Data Series] [prijsindexen pers...] [2016-02-16 10:51:00] [d992272e6b10691b6ed213356daa79d7] [Current]
- RMP       [Histogram] [] [2016-02-20 12:23:36] [b645833c54bd2f130859241aaeaa0537]
- R           [Histogram] [] [2016-02-20 12:29:54] [b645833c54bd2f130859241aaeaa0537]
-   P           [Histogram] [] [2016-02-20 13:51:17] [b645833c54bd2f130859241aaeaa0537]
-  M              [Histogram] [] [2016-02-20 13:54:53] [b645833c54bd2f130859241aaeaa0537]
- R               [Histogram] [] [2016-02-20 14:11:59] [b645833c54bd2f130859241aaeaa0537]
- RMP         [Kernel Density Estimation] [] [2016-02-20 12:51:34] [b645833c54bd2f130859241aaeaa0537]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.46
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86

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 Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292013&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292013&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292013&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 Maurice George Kendall' @ kendall.wessa.net






Univariate Dataseries
Name of dataseriesconsumptie prijsindex personenvervoer per trein bj 2013
SourceNationale Bank van Belgie: online statistieken
DescriptionEr wordt per maand gekeken met hoeveel procent de consumptieprijzen gedaald of gestegen zijn tov basisjaar 2013
Number of observations120

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & consumptie prijsindex personenvervoer per trein bj 2013 \tabularnewline
Source & Nationale Bank van Belgie: online statistieken \tabularnewline
Description & Er wordt per maand gekeken met hoeveel procent de consumptieprijzen gedaald of gestegen zijn tov basisjaar 2013 \tabularnewline
Number of observations & 120 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292013&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]consumptie prijsindex personenvervoer per trein bj 2013[/C][/ROW]
[ROW][C]Source[/C][C]Nationale Bank van Belgie: online statistieken[/C][/ROW]
[ROW][C]Description[/C][C]Er wordt per maand gekeken met hoeveel procent de consumptieprijzen gedaald of gestegen zijn tov basisjaar 2013[/C][/ROW]
[ROW][C]Number of observations[/C][C]120[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292013&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292013&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 dataseriesconsumptie prijsindex personenvervoer per trein bj 2013
SourceNationale Bank van Belgie: online statistieken
DescriptionEr wordt per maand gekeken met hoeveel procent de consumptieprijzen gedaald of gestegen zijn tov basisjaar 2013
Number of observations120


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = consumptie prijsindex personenvervoer per trein bj 2013 ; par2 = Nationale Bank van Belgie: online statistieken ; par3 = Er wordt per maand gekeken met hoeveel procent de consumptieprijzen gedaald of gestegen zijn tov basisjaar 2013 ; par4 = 12 ;
Parameters (R input):
par1 = consumptie prijsindex personenvervoer per trein bj 2013 ; par2 = Nationale Bank van Belgie: online statistieken ; par3 = Er wordt per maand gekeken met hoeveel procent de consumptieprijzen gedaald of gestegen zijn tov basisjaar 2013 ; 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')