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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 01 Aug 2017 13:00:53 +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/01/t15015853181jvltenny09wdhj.htm/, Retrieved Mon, 20 May 2024 02:56:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306855, Retrieved Mon, 20 May 2024 02:56:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [omzet nietjesmachine] [2017-08-01 11:00:53] [ff90ea2d7baa48124a9630d5b785d73f] [Current]
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Dataseries X:
€133448.00
€132951.00
€132447.00
€131404.00
€141722.00
€141176.00
€133448.00
€128310.00
€128807.00
€128807.00
€129360.00
€130354.00
€131901.00
€131901.00
€130907.00
€128310.00
€141722.00
€143766.00
€140679.00
€133448.00
€136542.00
€131901.00
€133994.00
€134995.00
€136038.00
€133448.00
€133994.00
€130354.00
€141722.00
€145313.00
€142226.00
€136542.00
€142723.00
€136038.00
€142226.00
€141722.00
€143269.00
€137585.00
€143766.00
€143269.00
€152544.00
€150451.00
€142226.00
€138082.00
€143766.00
€136038.00
€141722.00
€142723.00
€144816.00
€140182.00
€142723.00
€144270.00
€149954.00
€145313.00
€139132.00
€132447.00
€138635.00
€121625.00
€129857.00
€134491.00
€139132.00
€132447.00
€132447.00
€132447.00
€136038.00
€130907.00
€124173.00
€118538.00
€122626.00
€106666.00
€116445.00
€122129.00
€123172.00
€117488.00
€117985.00
€116445.00
€121625.00
€117985.00
€110810.00
€105623.00
€114394.00
€95347.00
€107716.00
€113351.00
€113351.00
€106666.00
€100485.00
€99988.00
€105623.00
€100485.00
€90713.00
€83979.00
€91210.00
€74207.00
€89663.00
€97888.00
€100485.00
€94801.00
€87619.00
€92757.00
€94801.00
€93254.00
€77791.00
€70616.00
€75747.00
€60291.00
€76251.00
€81935.00
€86569.00
€78841.00
€71610.00
€75747.00
€77791.00
€73703.00
€58247.00
€51513.00
€57694.00
€40691.00
€59241.00
€70616.00




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=306855&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=306855&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306855&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 nietjesmachine ; par2 = Niet gekend ; par3 = De omzet van nietjesmachines wordt weergegeven in euro per maand ; 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')
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')