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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 17 Jul 2016 14:19:02 +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/Jul/17/t1468761613tw3iaur8b108l0o.htm/, Retrieved Thu, 02 May 2024 11:24:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295860, Retrieved Thu, 02 May 2024 11:24:30 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2016-07-17 13:19:02] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
€ 181 896,00
€ 181 580,00
€ 181 234,00
€ 180 598,00
€ 187 123,00
€ 186 807,00
€ 181 896,00
€ 178 638,00
€ 178 954,00
€ 178 954,00
€ 179 269,00
€ 179 936,00
€ 181 580,00
€ 179 616,00
€ 181 580,00
€ 179 936,00
€ 185 158,00
€ 187 469,00
€ 177 656,00
€ 175 025,00
€ 177 305,00
€ 176 989,00
€ 175 025,00
€ 175 345,00
€ 179 269,00
€ 178 638,00
€ 179 269,00
€ 179 269,00
€ 183 545,00
€ 184 176,00
€ 172 398,00
€ 172 398,00
€ 176 989,00
€ 174 709,00
€ 170 785,00
€ 172 398,00
€ 176 327,00
€ 174 363,00
€ 174 047,00
€ 169 803,00
€ 176 007,00
€ 177 305,00
€ 164 545,00
€ 164 229,00
€ 170 785,00
€ 167 176,00
€ 160 967,00
€ 163 598,00
€ 166 509,00
€ 167 176,00
€ 165 212,00
€ 161 287,00
€ 169 456,00
€ 169 456,00
€ 155 078,00
€ 154 101,00
€ 158 025,00
€ 150 838,00
€ 143 616,00
€ 145 932,00
€ 150 838,00
€ 146 910,00
€ 144 283,00
€ 138 710,00
€ 146 247,00
€ 146 563,00
€ 132 190,00
€ 131 839,00
€ 134 470,00
€ 126 301,00
€ 117 465,00
€ 121 043,00
€ 125 950,00
€ 120 728,00
€ 120 412,00
€ 115 154,00
€ 123 670,00
€ 125 319,00
€ 109 266,00
€ 105 688,00
€ 107 968,00
€ 99 132,00
€ 89 981,00
€ 92 928,00
€ 98 470,00
€ 91 946,00
€ 92 928,00
€ 89 004,00
€ 97 172,00
€ 98 150,00
€ 78 524,00
€ 77 221,00
€ 80 799,00
€ 71 333,00
€ 62 817,00
€ 65 764,00
€ 72 950,00
€ 64 462,00
€ 63 799,00
€ 57 244,00
€ 64 462,00
€ 66 742,00
€ 46 448,00
€ 46 448,00
€ 49 391,00
€ 41 542,00
€ 32 706,00
€ 37 297,00
€ 45 466,00
€ 36 631,00
€ 40 244,00
€ 35 333,00
€ 43 186,00
€ 45 813,00
€ 24 853,00
€ 23 240,00
€ 26 502,00
€ 18 649,00
€ 12 444,00
€ 15 040,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295860&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295860&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295860&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'Herman Ole Andreas Wold' @ wold.wessa.net



Parameters (Session):
par1 = Omzet Stroomstrijkijzer ; par2 = niet gekend ; par3 = Prijsevolutie ; par4 = 12 ;
Parameters (R input):
par1 = Omzet Stroomstrijkijzer ; par2 = niet gekend ; par3 = Prijsevolutie ; 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')