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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 03 Aug 2016 11:53:21 +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/03/t1470221646vnuhcmq8vp5nt6l.htm/, Retrieved Mon, 06 May 2024 05:28:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296010, Retrieved Mon, 06 May 2024 05:28:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact209
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Omzet euro op jaa...] [2016-08-03 10:53:21] [e98d32ae432942f69cb1b3451eac7d8c] [Current]
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Dataseries X:
€ 106 474.50
€ 106 559.75
€ 106 636.75
€ 106 722.00
€ 106 804.50
€ 106 889.75
€ 106 972.25
€ 107 057.50
€ 107 142.75
€ 107 225.25
€ 107 310.50
€ 107 393.00
€ 107 478.25
€ 107 563.50
€ 107 640.50
€ 107 725.75
€ 107 808.25
€ 107 893.50
€ 107 976.00
€ 108 061.25
€ 108 146.50
€ 108 229.00
€ 108 314.25
€ 108 396.75
€ 108 482.00
€ 108 567.25
€ 108 647.00
€ 108 732.25
€ 108 814.75
€ 108 900.00
€ 108 982.50
€ 109 067.75
€ 109 153.00
€ 109 235.50
€ 109 320.75
€ 109 403.25
€ 109 488.50
€ 109 573.75
€ 109 650.75
€ 109 736.00
€ 109 818.50
€ 109 903.75
€ 109 986.25
€ 110 071.50
€ 110 156.75
€ 110 239.25
€ 110 324.50
€ 110 407.00
€ 110 492.25
€ 110 577.50
€ 110 654.50
€ 110 739.75
€ 110 822.25
€ 110 907.50
€ 110 990.00
€ 111 075.25
€ 111 160.50
€ 111 243.00
€ 111 328.25
€ 111 410.75
€ 111 496.00
€ 111 581.25
€ 111 658.25
€ 111 743.50
€ 111 826.00
€ 111 911.25
€ 111 993.75
€ 112 079.00
€ 112 164.25
€ 112 246.75
€ 112 332.00
€ 112 414.50
€ 112 499.75
€ 112 585.00
€ 112 664.75
€ 112 750.00
€ 112 832.50
€ 112 917.75
€ 113 000.25
€ 113 085.50
€ 113 170.75
€ 113 253.25
€ 113 338.50
€ 113 421.00
€ 113 506.25
€ 113 591.50
€ 113 668.50
€ 113 753.75
€ 113 836.25
€ 113 921.50
€ 114 004.00
€ 114 089.25
€ 114 174.50
€ 114 257.00
€ 114 342.25
€ 114 424.75
€ 114 510.00
€ 114 595.25
€ 114 672.25
€ 114 757.50
€ 114 840.00
€ 114 925.25
€ 115 007.75
€ 115 093.00
€ 115 178.25
€ 115 260.75
€ 115 346.00
€ 115 428.50
€ 115 513.75
€ 115 599.00
€ 115 676.00
€ 115 761.25
€ 115 843.75
€ 115 929.00
€ 116 011.50
€ 116 096.75
€ 116 182.00
€ 116 264.50
€ 116 349.75
€ 116 432.25




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296010&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296010&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'Gertrude Mary Cox' @ cox.wessa.net



Parameters (Session):
par1 = Omzet in euro op jaarbasis ; par3 = Omzet in euro op jaarbasis ; par4 = 12 ;
Parameters (R input):
par1 = Omzet in euro op jaarbasis ; par2 = ; par3 = Omzet in euro op jaarbasis ; 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')