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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 09 Aug 2016 08:11:40 +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/09/t14707267538cwur1jnz6zrpd1.htm/, Retrieved Sat, 18 May 2024 17:55:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296118, Retrieved Sat, 18 May 2024 17:55:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2016-08-09 07:11:40] [eed3b94f44ab74d862a61d666a631b56] [Current]
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Dataseries X:
€ 7 263,63
€ 7 135,88
€ 7 008,00
€ 6 752,38
€ 9 339,00
€ 9 211,13
€ 7 263,63
€ 5 970,38
€ 6 098,13
€ 6 098,13
€ 6 226,00
€ 6 495,50
€ 5 714,75
€ 4 932,75
€ 4 292,38
€ 4 292,38
€ 6 752,38
€ 7 008,00
€ 5 060,50
€ 2 857,38
€ 4 022,88
€ 4 022,88
€ 4 932,75
€ 5 457,88
€ 5 330,00
€ 4 022,88
€ 4 677,13
€ 4 420,25
€ 6 623,38
€ 6 098,13
€ 4 022,88
€ 2 472,75
€ 3 895,00
€ 4 292,38
€ 4 677,13
€ 5 188,38
€ 4 150,63
€ 3 254,75
€ 3 639,50
€ 3 767,25
€ 7 135,88
€ 7 135,88
€ 5 188,38
€ 4 932,75
€ 5 714,75
€ 5 330,00
€ 6 367,75
€ 7 661,00
€ 7 917,88
€ 6 098,13
€ 5 585,63
€ 5 060,50
€ 8 570,88
€ 8 827,75
€ 8 173,50
€ 8 827,75
€ 8 698,63
€ 7 661,00
€ 8 827,75
€ 10 121,00
€ 10 646,13
€ 9 083,38
€ 8 045,63
€ 8 827,75
€ 12 196,25
€ 13 234,00
€ 12 978,38
€ 13 489,50
€ 13 361,75
€ 12 068,50
€ 14 271,63
€ 14 796,75
€ 15 564,88
€ 13 234,00
€ 12 324,13
€ 13 361,75
€ 15 834,38
€ 18 037,50
€ 17 512,38
€ 17 512,38
€ 17 769,25
€ 16 872,00
€ 19 204,25
€ 19 204,25
€ 18 806,88
€ 16 602,50
€ 16 999,88
€ 17 256,75
€ 18 947,38
€ 21 150,50
€ 19 587,63
€ 20 369,75
€ 19 715,50
€ 19 332,00
€ 22 317,25
€ 21 663,00
€ 20 753,13
€ 19 459,88
€ 20 753,13
€ 21 407,38
€ 22 188,13
€ 23 225,75
€ 22 188,13
€ 22 828,50
€ 22 047,63
€ 21 919,88
€ 25 160,63
€ 25 430,13
€ 24 392,50
€ 22 572,88
€ 24 123,00
€ 24 776,00
€ 25 558,00
€ 26 723,50
€ 25 558,00
€ 26 467,88
€ 26 070,50
€ 24 648,13
€ 27 633,25
€ 27 633,25




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296118&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]1 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=296118&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296118&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net



Parameters (Session):
par1 = maandelijkse omzet lego technic 42044 ; par2 = niet gekend ; par3 = omzet van lego technic 42044 per maand weergegeven ; par4 = 12 ;
Parameters (R input):
par1 = maandelijkse omzet lego technic 42044 ; par2 = niet gekend ; par3 = omzet van lego technic 42044 per maand weergegeven ; 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')