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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 08 Aug 2016 20:19:03 +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/Aug/08/t1470684121urukcclbmv95tjt.htm/, Retrieved Mon, 29 Apr 2024 13:43:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296096, Retrieved Mon, 29 Apr 2024 13:43:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [omzet lego technique] [2016-08-08 19:19:03] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
€ 2 421,21
€ 2 378,63
€ 2 336,00
€ 2 250,79
€ 3 113,00
€ 3 070,38
€ 2 421,21
€ 1 990,13
€ 2 032,71
€ 2 032,71
€ 2 075,33
€ 2 165,17
€ 1 904,92
€ 1 644,25
€ 1 430,79
€ 1 430,79
€ 2 250,79
€ 2 336,00
€ 1 686,83
€ 952,46
€ 1 340,96
€ 1 340,96
€ 1 644,25
€ 1 819,29
€ 1 776,67
€ 1 340,96
€ 1 559,04
€ 1 473,42
€ 2 207,79
€ 2 032,71
€ 1 340,96
€ 824,25
€ 1 298,33
€ 1 430,79
€ 1 559,04
€ 1 729,46
€ 1 383,54
€ 1 084,92
€ 1 213,17
€ 1 255,75
€ 2 378,63
€ 2 378,63
€ 1 729,46
€ 1 644,25
€ 1 904,92
€ 1 776,67
€ 2 122,58
€ 2 553,67
€ 2 639,29
€ 2 032,71
€ 1 861,88
€ 1 686,83
€ 2 856,96
€ 2 942,58
€ 2 724,50
€ 2 942,58
€ 2 899,54
€ 2 553,67
€ 2 942,58
€ 3 373,67
€ 3 548,71
€ 3 027,79
€ 2 681,88
€ 2 942,58
€ 4 065,42
€ 4 411,33
€ 4 326,13
€ 4 496,50
€ 4 453,92
€ 4 022,83
€ 4 757,21
€ 4 932,25
€ 5 188,29
€ 4 411,33
€ 4 108,04
€ 4 453,92
€ 5 278,13
€ 6 012,50
€ 5 837,46
€ 5 837,46
€ 5 923,08
€ 5 624,00
€ 6 401,42
€ 6 401,42
€ 6 268,96
€ 5 534,17
€ 5 666,63
€ 5 752,25
€ 6 315,79
€ 7 050,17
€ 6 529,21
€ 6 789,92
€ 6 571,83
€ 6 444,00
€ 7 439,08
€ 7 221,00
€ 6 917,71
€ 6 486,63
€ 6 917,71
€ 7 135,79
€ 7 396,04
€ 7 741,92
€ 7 396,04
€ 7 609,50
€ 7 349,21
€ 7 306,63
€ 8 386,88
€ 8 476,71
€ 8 130,83
€ 7 524,29
€ 8 041,00
€ 8 258,67
€ 8 519,33
€ 8 907,83
€ 8 519,33
€ 8 822,63
€ 8 690,17
€ 8 216,04
€ 9 211,08
€ 9 211,08




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296096&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296096&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296096&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'George Udny Yule' @ yule.wessa.net



Parameters (Session):
par1 = lego technique jaaromzet ; par2 = niet gekend ; par3 = maandelijkse omzet lego technique ; par4 = 12 ;
Parameters (R input):
par1 = lego technique jaaromzet ; par2 = niet gekend ; par3 = maandelijkse omzet lego technique ; 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')