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Description of Statistical Computation

Author's title

Gemiddelde gokuitgaven per dag per maand in Victoria van Juli 1999 tot Nove...

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 16 Feb 2011 11:34:53 +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/2011/Feb/16/t1297856298dk0deri2t6g1zpx.htm/, Retrieved Sun, 19 May 2024 13:31:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=118335, Retrieved Sun, 19 May 2024 13:31:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact236

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 gokuit...] [2011-02-16 11:34:53] [2b495641d0dbed9de3320c5a0c5f894d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5.81
5.76
5.99	
6.12	
6.03	
6.25	
5.80	
5.67	
5.89	
5.91	
5.86	
6.07	
6.27	
6.68	
6.77	
6.71	
6.62
6.50
5.89
6.05
6.43
6.47
6.62
6.77
6.70
6.95
6.73
7.07
7.28
7.32
6.76
6.93
6.99
7.16
7.28
7.08
7.34
7.87
6.28
6.30
6.36
6.28
5.89
6.04
5.96
6.10
6.26
6.02
6.25
6.41
6.22
6.57
6.18
6.26
6.10
6.02
6.06
6.35
6.21
6.48
6.74
6.53
6.80
6.75
6.56
6.66
6.18
6.40
6.43
6.54
6.44
6.64
6.82
6.97
7.00
6.91
6.74
6.98
6.37
6.56
6.63
6.87
6.68
6.75
6.84
7.15
7.09
6.97
7.15

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' @ www.wessa.org

\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' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118335&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' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118335&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118335&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' @ www.wessa.org






Univariate Dataseries
Name of dataseriesGemiddelde gokuitgaven per dag in miljoenen $
Sourcehttp://robjhyndman.com/tsdldata/data/gambling.dat
DescriptionGemiddelde gokuitgaven per dag per maand in Victoria van Juli 1999 tot November 2006 in miljoenen $
Number of observations89

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gemiddelde gokuitgaven per dag in miljoenen $ \tabularnewline
Source & http://robjhyndman.com/tsdldata/data/gambling.dat \tabularnewline
Description & Gemiddelde gokuitgaven per dag per maand in Victoria van Juli 1999 tot November 2006 in miljoenen $ \tabularnewline
Number of observations & 89 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118335&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gemiddelde gokuitgaven per dag in miljoenen $[/C][/ROW]
[ROW][C]Source[/C][C]http://robjhyndman.com/tsdldata/data/gambling.dat[/C][/ROW]
[ROW][C]Description[/C][C]Gemiddelde gokuitgaven per dag per maand in Victoria van Juli 1999 tot November 2006 in miljoenen $[/C][/ROW]
[ROW][C]Number of observations[/C][C]89[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118335&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118335&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 gokuitgaven per dag in miljoenen $
Sourcehttp://robjhyndman.com/tsdldata/data/gambling.dat
DescriptionGemiddelde gokuitgaven per dag per maand in Victoria van Juli 1999 tot November 2006 in miljoenen $
Number of observations89


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Gemiddelde gokuitgaven per dag in miljoenen $ ; par2 = http://robjhyndman.com/tsdldata/data/gambling.dat ; par3 = Gemiddelde gokuitgaven per dag per maand in Victoria van Juli 1999 tot November 2006 in miljoenen $ ; par4 = No season ;
Parameters (R input):
par1 = Gemiddelde gokuitgaven per dag in miljoenen $ ; par2 = http://robjhyndman.com/tsdldata/data/gambling.dat ; par3 = Gemiddelde gokuitgaven per dag per maand in Victoria van Juli 1999 tot November 2006 in miljoenen $ ; par4 = No season ;
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')