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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 computationThu, 06 Aug 2015 00:16:20 +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/2015/Aug/06/t14388167445vftx447cuckix7.htm/, Retrieved Wed, 15 May 2024 19:38:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279860, Retrieved Wed, 15 May 2024 19:38:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsCijferreeks Sebastiaan Lunders MAR204A Omzet Mercedes A-klasse (EUR jaarbasis)
Estimated Impact139
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Cijferreeks 2de z...] [2015-08-05 23:16:20] [2cf7618d5ff65529ef2e27cea5366de0] [Current]
- R PD    [Univariate Data Series] [Cijferreeks 2de z...] [2015-08-05 23:42:48] [039d3b62ab99f9eeb4c9cc4c099c66fc]
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Dataseries X:
€ 3 221 816,00
€ 3 209 817,00
€ 3 197 649,00
€ 3 172 468,00
€ 3 421 574,00
€ 3 408 392,00
€ 3 221 816,00
€ 3 097 770,00
€ 3 109 769,00
€ 3 109 769,00
€ 3 123 120,00
€ 3 147 118,00
€ 3 184 467,00
€ 3 184 467,00
€ 3 160 469,00
€ 3 097 770,00
€ 3 421 574,00
€ 3 470 922,00
€ 3 396 393,00
€ 3 221 816,00
€ 3 296 514,00
€ 3 184 467,00
€ 3 234 998,00
€ 3 259 165,00
€ 3 284 346,00
€ 3 221 816,00
€ 3 234 998,00
€ 3 147 118,00
€ 3 421 574,00
€ 3 508 271,00
€ 3 433 742,00
€ 3 296 514,00
€ 3 445 741,00
€ 3 284 346,00
€ 3 433 742,00
€ 3 421 574,00
€ 3 458 923,00
€ 3 321 695,00
€ 3 470 922,00
€ 3 458 923,00
€ 3 682 848,00
€ 3 632 317,00
€ 3 433 742,00
€ 3 333 694,00
€ 3 470 922,00
€ 3 284 346,00
€ 3 421 574,00
€ 3 445 741,00
€ 3 496 272,00
€ 3 384 394,00
€ 3 445 741,00
€ 3 483 090,00
€ 3 620 318,00
€ 3 508 271,00
€ 3 359 044,00
€ 3 197 649,00
€ 3 347 045,00
€ 2 936 375,00
€ 3 135 119,00
€ 3 246 997,00
€ 3 359 044,00
€ 3 197 649,00
€ 3 197 649,00
€ 3 197 649,00
€ 3 284 346,00
€ 3 160 469,00
€ 2 997 891,00
€ 2 861 846,00
€ 2 960 542,00
€ 2 575 222,00
€ 2 811 315,00
€ 2 948 543,00
€ 2 973 724,00
€ 2 836 496,00
€ 2 848 495,00
€ 2 811 315,00
€ 2 936 375,00
€ 2 848 495,00
€ 2 675 270,00
€ 2 550 041,00
€ 2 761 798,00
€ 2 301 949,00
€ 2 600 572,00
€ 2 736 617,00
€ 2 736 617,00
€ 2 575 222,00
€ 2 425 995,00
€ 2 413 996,00
€ 2 550 041,00
€ 2 425 995,00
€ 2 190 071,00
€ 2 027 493,00
€ 2 202 070,00
€ 1 791 569,00
€ 2 164 721,00
€ 2 363 296,00
€ 2 425 995,00
€ 2 288 767,00
€ 2 115 373,00
€ 2 239 419,00
€ 2 288 767,00
€ 2 251 418,00
€ 1 878 097,00
€ 1 704 872,00
€ 1 828 749,00
€ 1 455 597,00
€ 1 840 917,00
€ 1 978 145,00
€ 2 090 023,00
€ 1 903 447,00
€ 1 728 870,00
€ 1 828 749,00
€ 1 878 097,00
€ 1 779 401,00
€ 1 406 249,00
€ 1 243 671,00
€ 1 392 898,00
€ 982 397,00
€ 1 430 247,00
€ 1 704 872,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279860&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279860&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279860&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net



Parameters (Session):
par1 = Omzet Mercedes A-klasse (EUR jaarbasis) ; par2 = mevr. Ottevaere ; par3 = Omzet Mercedes A-klasse (EUR jaarbasis) van jan 2005 tot en met dec 2014 ; par4 = 12 ;
Parameters (R input):
par1 = Omzet Mercedes A-klasse (EUR jaarbasis) ; par2 = mevr. Ottevaere ; par3 = Omzet Mercedes A-klasse (EUR jaarbasis) van jan 2005 tot en met dec 2014 ; 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')