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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 17 Jul 2016 17:40:48 +0100
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/Jul/17/t1468773725cb9aubouf2lvcpn.htm/, Retrieved Thu, 02 May 2024 00:04:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295867, Retrieved Thu, 02 May 2024 00:04:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Maandelijkse omze...] [2016-07-17 16:40:48] [b1d105767b629000b6b6bd83f6a3d689] [Current]
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Dataseries X:
€ 14.724,00
€ 14.404,00
€ 14.058,00
€ 13.427,00
€ 19.946,00
€ 19.631,00
€ 14.724,00
€ 11.462,00
€ 11.778,00
€ 11.778,00
€ 12.093,00
€ 12.760,00
€ 13.742,00
€ 13.427,00
€ 11.462,00
€ 11.778,00
€ 20.929,00
€ 22.893,00
€ 17.666,00
€ 14.724,00
€ 15.387,00
€ 15.707,00
€ 17.351,00
€ 18.964,00
€ 19.315,00
€ 16.022,00
€ 16.369,00
€ 12.093,00
€ 24.222,00
€ 27.800,00
€ 19.631,00
€ 17.004,00
€ 18.649,00
€ 20.613,00
€ 23.555,00
€ 27.164,00
€ 27.164,00
€ 24.853,00
€ 23.871,00
€ 17.982,00
€ 27.800,00
€ 32.391,00
€ 28.462,00
€ 24.222,00
€ 24.853,00
€ 27.164,00
€ 30.426,00
€ 34.355,00
€ 31.724,00
€ 30.111,00
€ 30.111,00
€ 24.853,00
€ 32.391,00
€ 37.297,00
€ 33.373,00
€ 29.129,00
€ 30.426,00
€ 35.653,00
€ 37.964,00
€ 41.222,00
€ 38.595,00
€ 34.355,00
€ 33.373,00
€ 25.520,00
€ 30.742,00
€ 36.315,00
€ 30.111,00
€ 26.502,00
€ 30.111,00
€ 33.689,00
€ 35.653,00
€ 40.906,00
€ 38.280,00
€ 31.724,00
€ 32.391,00
€ 26.186,00
€ 31.409,00
€ 36.000,00
€ 30.742,00
€ 27.164,00
€ 30.426,00
€ 34.355,00
€ 33.689,00
€ 41.542,00
€ 40.244,00
€ 35.017,00
€ 35.333,00
€ 28.462,00
€ 32.706,00
€ 39.262,00
€ 34.355,00
€ 31.409,00
€ 36.315,00
€ 39.262,00
€ 36.982,00
€ 47.431,00
€ 44.835,00
€ 38.946,00
€ 37.297,00
€ 29.764,00
€ 34.035,00
€ 37.964,00
€ 33.053,00
€ 33.053,00
€ 38.595,00
€ 41.542,00
€ 39.924,00
€ 51.355,00
€ 48.413,00
€ 42.871,00
€ 40.560,00
€ 32.391,00
€ 35.333,00
€ 40.560,00
€ 36.631,00
€ 35.653,00
€ 40.244,00
€ 44.168,00
€ 39.924,00
€ 50.057,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295867&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295867&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295867&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net



Parameters (Session):
par1 = Maandelijkse omzet espressomachines in EUR ; par2 = niet gekend ; par3 = Maandelijks overzicht van de omzet van espressomachines ; par4 = 12 ;
Parameters (R input):
par1 = Maandelijkse omzet espressomachines in EUR ; par2 = niet gekend ; par3 = Maandelijks overzicht van de omzet van espressomachines ; 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')