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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 29 Jul 2015 09:39:57 +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/Jul/29/t143815927714zudc9ouleu0aj.htm/, Retrieved Fri, 17 May 2024 04:51:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279728, Retrieved Fri, 17 May 2024 04:51:14 +0000
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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] [] [2015-07-29 08:39:57] [517bf63cbd197750110a40d4d2cd39d6] [Current]
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Dataseries X:
€ 152.512,00
€ 151.944,00
€ 151.368,00
€ 150.176,00
€ 161.968,00
€ 161.344,00
€ 152.512,00
€ 146.640,00
€ 147.208,00
€ 147.208,00
€ 147.840,00
€ 148.976,00
€ 150.744,00
€ 150.744,00
€ 149.608,00
€ 146.640,00
€ 161.968,00
€ 164.304,00
€ 160.776,00
€ 152.512,00
€ 156.048,00
€ 150.744,00
€ 153.136,00
€ 154.280,00
€ 155.472,00
€ 152.512,00
€ 153.136,00
€ 148.976,00
€ 161.968,00
€ 166.072,00
€ 162.544,00
€ 156.048,00
€ 163.112,00
€ 155.472,00
€ 162.544,00
€ 161.968,00
€ 163.736,00
€ 157.240,00
€ 164.304,00
€ 163.736,00
€ 174.336,00
€ 171.944,00
€ 162.544,00
€ 157.808,00
€ 164.304,00
€ 155.472,00
€ 161.968,00
€ 163.112,00
€ 165.504,00
€ 160.208,00
€ 163.112,00
€ 164.880,00
€ 171.376,00
€ 166.072,00
€ 159.008,00
€ 151.368,00
€ 158.440,00
€ 139.000,00
€ 148.408,00
€ 153.704,00
€ 159.008,00
€ 151.368,00
€ 151.368,00
€ 151.368,00
€ 155.472,00
€ 149.608,00
€ 141.912,00
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€ 140.144,00
€ 121.904,00
€ 133.080,00
€ 139.576,00
€ 140.768,00
€ 134.272,00
€ 134.840,00
€ 133.080,00
€ 139.000,00
€ 134.840,00
€ 126.640,00
€ 120.712,00
€ 130.736,00
€ 108.968,00
€ 123.104,00
€ 129.544,00
€ 129.544,00
€ 121.904,00
€ 114.840,00
€ 114.272,00
€ 120.712,00
€ 114.840,00
€ 103.672,00
€ 95.976,00
€ 104.240,00
€ 84.808,00
€ 102.472,00
€ 111.872,00
€ 114.840,00
€ 108.344,00
€ 100.136,00
€ 106.008,00
€ 108.344,00
€ 106.576,00
€ 88.904,00
€ 80.704,00
€ 86.568,00
€ 68.904,00
€ 87.144,00
€ 93.640,00
€ 98.936,00
€ 90.104,00
€ 81.840,00
€ 86.568,00
€ 88.904,00
€ 84.232,00
€ 66.568,00
€ 58.872,00
€ 65.936,00
€ 46.504,00
€ 67.704,00
€ 80.704,00




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=279728&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=279728&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279728&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 product Koffiekoppen ; par2 = Niet gekend ; par3 = Omzet van Koffiekoppen EUR jaarbasis (10 jaar) ; par4 = 12 ;
Parameters (R input):
par1 = Omzet product Koffiekoppen ; par2 = Niet gekend ; par3 = Omzet van Koffiekoppen EUR jaarbasis (10 jaar) ; 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')