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Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 03 Aug 2017 13:41:59 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Aug/03/t15017605639fybnso84jybnmj.htm/, Retrieved Fri, 10 May 2024 05:32:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306875, Retrieved Fri, 10 May 2024 05:32:52 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2017-08-03 11:41:59] [eec775fda337aa2da775a098928b5865] [Current]
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Dataseries X:
3.469.648.00
3.456.726.00
3.443.622.00
3.416.504.00
3.684.772.00
3.670.576.00
3.469.648.00
3.336.060.00
3.348.982.00
3.348.982.00
3.363.360.00
3.389.204.00
3.429.426.00
3.429.426.00
3.403.582.00
3.336.060.00
3.684.772.00
3.737.916.00
3.657.654.00
3.469.648.00
3.550.092.00
3.429.426.00
3.483.844.00
3.509.870.00
3.536.988.00
3.469.648.00
3.483.844.00
3.389.204.00
3.684.772.00
3.778.138.00
3.697.876.00
3.550.092.00
3.710.798.00
3.536.988.00
3.697.876.00
3.684.772.00
3.724.994.00
3.577.210.00
3.737.916.00
3.724.994.00
3.966.144.00
3.911.726.00
3.697.876.00
3.590.132.00
3.737.916.00
3.536.988.00
3.684.772.00
3.710.798.00
3.765.216.00
3.644.732.00
3.710.798.00
3.751.020.00
3.898.804.00
3.778.138.00
3.617.432.00
3.443.622.00
3.604.510.00
3.162.250.00
3.376.282.00
3.496.766.00
3.617.432.00
3.443.622.00
3.443.622.00
3.443.622.00
3.536.988.00
3.403.582.00
3.228.498.00
3.081.988.00
3.188.276.00
2.773.316.00
3.027.570.00
3.175.354.00
3.202.472.00
3.054.688.00
3.067.610.00
3.027.570.00
3.162.250.00
3.067.610.00
2.881.060.00
2.746.198.00
2.974.244.00
2.479.022.00
2.800.616.00
2.947.126.00
2.947.126.00
2.773.316.00
2.612.610.00
2.599.688.00
2.746.198.00
2.612.610.00
2.358.538.00
2.183.454.00
2.371.460.00
1.929.382.00
2.331.238.00
2.545.088.00
2.612.610.00
2.464.826.00
2.278.094.00
2.411.682.00
2.464.826.00
2.424.604.00
2.022.566.00
1.836.016.00
1.969.422.00
1.567.566.00
1.982.526.00
2.130.310.00
2.250.794.00
2.049.866.00
1.861.860.00
1.969.422.00
2.022.566.00
1.916.278.00
1.514.422.00
1.339.338.00
1.500.044.00
1.057.966.00
1.540.266.00
1.836.016.00




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306875&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=306875&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306875&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
Parameters (R input):
par1 = Omzet Evian op jaarbasis ; par2 = Niet gekend ; par3 = Mijn cijferreeks gaat over de omzet van Evian op een jaarbasis. De gegevens bevatten de omzet in euro ten opzichte van een basisjaar. En dit wordt maandelijks berekend en weergegeven. De tijdreeks van deze gegevens verloopt van januari 2005 tot december 2014. Het tijdsinterval verloopt per maand. Aan de hand van deze datagegevens kan je te weten komen hoeveel meer of minder de omzet bedraagt ten opzichte van het basisjaar. ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Mijn cijferreeks gaat over de omzet van Evian op een jaarbasis. De gegevens bevatten de omzet in euro ten opzichte van een basisjaar. En dit wordt maandelijks berekend en weergegeven. De tijdreeks van deze gegevens verloopt van januari 2005 tot december 2014. Het tijdsinterval verloopt per maand. Aan de hand van deze datagegevens kan je te weten komen hoeveel meer of minder de omzet bedraagt ten opzichte van het basisjaar.'
par2 <- 'Niet gekend'
par1 <- 'Omzet Evian op jaarbasis'
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')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary Statistics of dataseries x',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(x)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')