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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 01 Aug 2017 12:53:27 +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/t150158485625lalzc09byus7j.htm/, Retrieved Fri, 10 May 2024 12:27:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306854, Retrieved Fri, 10 May 2024 12:27:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
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 10:53:27] [ff90ea2d7baa48124a9630d5b785d73f] [Current]
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Dataseries X:
€ 133 448,00
€ 132 951,00
€ 132 447,00
€ 131 404,00
€ 141 722,00
€ 141 176,00
€ 133 448,00
€ 128 310,00
€ 128 807,00
€ 128 807,00
€ 129 360,00
€ 130 354,00
€ 131 901,00
€ 131 901,00
€ 130 907,00
€ 128 310,00
€ 141 722,00
€ 143 766,00
€ 140 679,00
€ 133 448,00
€ 136 542,00
€ 131 901,00
€ 133 994,00
€ 134 995,00
€ 136 038,00
€ 133 448,00
€ 133 994,00
€ 130 354,00
€ 141 722,00
€ 145 313,00
€ 142 226,00
€ 136 542,00
€ 142 723,00
€ 136 038,00
€ 142 226,00
€ 141 722,00
€ 143 269,00
€ 137 585,00
€ 143 766,00
€ 143 269,00
€ 152 544,00
€ 150 451,00
€ 142 226,00
€ 138 082,00
€ 143 766,00
€ 136 038,00
€ 141 722,00
€ 142 723,00
€ 144 816,00
€ 140 182,00
€ 142 723,00
€ 144 270,00
€ 149 954,00
€ 145 313,00
€ 139 132,00
€ 132 447,00
€ 138 635,00
€ 121 625,00
€ 129 857,00
€ 134 491,00
€ 139 132,00
€ 132 447,00
€ 132 447,00
€ 132 447,00
€ 136 038,00
€ 130 907,00
€ 124 173,00
€ 118 538,00
€ 122 626,00
€ 106 666,00
€ 116 445,00
€ 122 129,00
€ 123 172,00
€ 117 488,00
€ 117 985,00
€ 116 445,00
€ 121 625,00
€ 117 985,00
€ 110 810,00
€ 105 623,00
€ 114 394,00
€ 95 347,00
€ 107 716,00
€ 113 351,00
€ 113 351,00
€ 106 666,00
€ 100 485,00
€ 99 988,00
€ 105 623,00
€ 100 485,00
€ 90 713,00
€ 83 979,00
€ 91 210,00
€ 74 207,00
€ 89 663,00
€ 97 888,00
€ 100 485,00
€ 94 801,00
€ 87 619,00
€ 92 757,00
€ 94 801,00
€ 93 254,00
€ 77 791,00
€ 70 616,00
€ 75 747,00
€ 60 291,00
€ 76 251,00
€ 81 935,00
€ 86 569,00
€ 78 841,00
€ 71 610,00
€ 75 747,00
€ 77 791,00
€ 73 703,00
€ 58 247,00
€ 51 513,00
€ 57 694,00
€ 40 691,00
€ 59 241,00
€ 70 616,00




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306854&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=306854&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306854&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 time0 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')