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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, 05 Oct 2010 12:26:19 +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/2010/Oct/05/t1286281552rogwf14iavt3j74.htm/, Retrieved Sat, 27 Apr 2024 22:11:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81413, Retrieved Sat, 27 Apr 2024 22:11:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact117

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] [Aantal personen l...] [2010-10-05 12:26:19] [5815de052410d7754c978b0de903e641] [Current]
- RMPD    [Histogram] [Frequentietabel p...] [2010-10-05 13:15:58] [8a02c60b4e489c76553df8621bda666b]
- RMP       [Kernel Density Estimation] [Dichtheidsgrafiek...] [2010-10-05 13:40:42] [8a02c60b4e489c76553df8621bda666b]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,4
97,7
97
96,5
98,4
106,3
103,1
102,4
95
98,1
106,1
99,1
101,2
95,5
99,8
97,1
97,5
96,8
97,7
100,9
94,3
99,5
100,8
97
99,2
101
102,3
97
91,2
97,6
95,7
100,5
94,4
102,9
105,1
98,8
100,7
99,6
107,7
102,9
101,6
102,7
110,5
109,8
94,3
102,5
105
102,3
107,7
100,3
99,5
95
97,7
96,3
97,8
106,4
96,1
106,2
114,7
111,9
121
117,7
115,4
114,3
109,5
108,1
108,2
99,1
101,2
98,1
95,5
97,9
98,2
98,7
95,6
95,8
94,4
96,5
103,3
104,3
104,5
102,3
103,8
103,1
102,2
106,3
102,1
94
102,6
102,6
106,7
107,9
109,3
105,9
109,1
108,5
111,7
109,8
109,1
108,5
108,5
106,2
117,1
109,8
115,2
115,9
119,2
121
118,6
117,6
114,6
110,6
102,5
101,6
107,4
105,8
102,8
104
100,4
100,6

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=81413&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=81413&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81413&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 dataseriesPassagiers luchtverkeer Denemarken 2000-2009
Source
DescriptionDeze gegevensreeks geeft de verhouding weer tussen de passagiers in begin 2000 en de passagiers per maand van ieder jaar (2000-2009)
Number of observations120

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Passagiers luchtverkeer Denemarken 2000-2009 \tabularnewline
Source &  \tabularnewline
Description & Deze gegevensreeks geeft de verhouding weer tussen de passagiers in begin 2000 en de passagiers per maand van ieder jaar (2000-2009) \tabularnewline
Number of observations & 120 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81413&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Passagiers luchtverkeer Denemarken 2000-2009[/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C]Deze gegevensreeks geeft de verhouding weer tussen de passagiers in begin 2000 en de passagiers per maand van ieder jaar (2000-2009)[/C][/ROW]
[ROW][C]Number of observations[/C][C]120[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81413&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81413&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 dataseriesPassagiers luchtverkeer Denemarken 2000-2009
Source
DescriptionDeze gegevensreeks geeft de verhouding weer tussen de passagiers in begin 2000 en de passagiers per maand van ieder jaar (2000-2009)
Number of observations120


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Passagiers luchtverkeer Denemarken 2000-2009 ; par3 = Deze gegevensreeks geeft de verhouding weer tussen de passagiers in begin 2000 en de passagiers per maand van ieder jaar (2000-2009) ; par4 = 12 ;
Parameters (R input):
par1 = Passagiers luchtverkeer Denemarken 2000-2009 ; par2 = ; par3 = Deze gegevensreeks geeft de verhouding weer tussen de passagiers in begin 2000 en de passagiers per maand van ieder jaar (2000-2009) ; 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')