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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 computationSun, 17 Feb 2013 06:44:33 -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/17/t1361101518r02dwgzg5psa47d.htm/, Retrieved Sat, 04 May 2024 11:26:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206533, Retrieved Sat, 04 May 2024 11:26:11 +0000
QR Codes:

Original text written by user:Deze cijferreeks geeft het aantal passagiers dat maandelijks via Schiphol vliegt weer.
IsPrivate?No (this computation is public)
User-defined keywordsLuchthaven, Schiphol, passagiers, Nederland
Estimated Impact189

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] [Schiphol passagiers] [2013-02-17 10:46:16] [74be16979710d4c4e7c6647856088456]
- R PD    [Univariate Data Series] [Schiphol passagiers] [2013-02-17 11:44:33] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3169889
3051720
3695426
3905501
4296458
4246247
4921849
4821446
4425064
4379099
3472889
3359160
3200944
3153170
3741498
3918719
4403449
4400407
4847473
4716136
4297440
4272253
3271834
3168388
2911748
2720999
3199918
3672623
3892013
3850845
4532467
4484739
4014972
3983758
3158459
3100569
2935404
2855719
3465611
3006985
4095110
4104793
4730788
4642726
4246919
4308117
3508154
3236641
3257275
3045631
3657692
4125747
4472507
4513455
5150896
5057815
4681742
4603682
3580181
3534002

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=206533&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=206533&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206533&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 dataseriesSchiphol passagiers
Sourcehttp://www.schiphol.nl/SchipholGroup1/Onderneming/Statistieken/VerkeerVervoerCijfers1.htm
DescriptionDeze cijferreeks geeft het aantal passagiers dat maandelijks via Schiphol vliegt weer.
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Schiphol passagiers \tabularnewline
Source & http://www.schiphol.nl/SchipholGroup1/Onderneming/Statistieken/VerkeerVervoerCijfers1.htm \tabularnewline
Description & Deze cijferreeks geeft het aantal passagiers dat maandelijks via Schiphol vliegt weer. \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206533&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Schiphol passagiers[/C][/ROW]
[ROW][C]Source[/C][C]http://www.schiphol.nl/SchipholGroup1/Onderneming/Statistieken/VerkeerVervoerCijfers1.htm[/C][/ROW]
[ROW][C]Description[/C][C]Deze cijferreeks geeft het aantal passagiers dat maandelijks via Schiphol vliegt weer.[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206533&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206533&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 dataseriesSchiphol passagiers
Sourcehttp://www.schiphol.nl/SchipholGroup1/Onderneming/Statistieken/VerkeerVervoerCijfers1.htm
DescriptionDeze cijferreeks geeft het aantal passagiers dat maandelijks via Schiphol vliegt weer.
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Schiphol passagiers ; par2 = http://www.schiphol.nl/SchipholGroup1/Onderneming/Statistieken/VerkeerVervoerCijfers1.htm ; par3 = Deze cijferreeks geeft het aantal passagiers dat maandelijks via Schiphol vliegt weer. ; par4 = 12 ;
Parameters (R input):
par1 = Schiphol passagiers ; par2 = http://www.schiphol.nl/SchipholGroup1/Onderneming/Statistieken/VerkeerVervoerCijfers1.htm ; par3 = Deze cijferreeks geeft het aantal passagiers dat maandelijks via Schiphol vliegt weer. ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Deze cijferreeks geeft het aantal passagiers dat maandelijks via Schiphol vliegt weer.'
par2 <- 'http://www.schiphol.nl/SchipholGroup1/Onderneming/Statistieken/VerkeerVervoerCijfers1.htm'
par1 <- 'Schiphol passagiers'
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')