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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 15 Jul 2015 12:07:09 +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/15/t1436958525ezkevt6y5xuomgu.htm/, Retrieved Fri, 17 May 2024 04:51:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279574, Retrieved Fri, 17 May 2024 04:51:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [opgave 1 a] [2015-07-15 11:07:09] [b43493158838656c32486372ca9c54cf] [Current]
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Dataseries X:
€ 228.768,00
€ 227.916,00
€ 227.052,00
€ 225.264,00
€ 242.952,00
€ 242.016,00
€ 228.768,00
€ 219.960,00
€ 220.812,00
€ 220.812,00
€ 221.760,00
€ 223.464,00
€ 226.116,00
€ 226.116,00
€ 224.412,00
€ 219.960,00
€ 242.952,00
€ 246.456,00
€ 241.164,00
€ 228.768,00
€ 234.072,00
€ 226.116,00
€ 229.704,00
€ 231.420,00
€ 233.208,00
€ 228.768,00
€ 229.704,00
€ 223.464,00
€ 242.952,00
€ 249.108,00
€ 243.816,00
€ 234.072,00
€ 244.668,00
€ 233.208,00
€ 243.816,00
€ 242.952,00
€ 245.604,00
€ 235.860,00
€ 246.456,00
€ 245.604,00
€ 261.504,00
€ 257.916,00
€ 243.816,00
€ 236.712,00
€ 246.456,00
€ 233.208,00
€ 242.952,00
€ 244.668,00
€ 248.256,00
€ 240.312,00
€ 244.668,00
€ 247.320,00
€ 257.064,00
€ 249.108,00
€ 238.512,00
€ 227.052,00
€ 237.660,00
€ 208.500,00
€ 222.612,00
€ 230.556,00
€ 238.512,00
€ 227.052,00
€ 227.052,00
€ 227.052,00
€ 233.208,00
€ 224.412,00
€ 212.868,00
€ 203.208,00
€ 210.216,00
€ 182.856,00
€ 199.620,00
€ 209.364,00
€ 211.152,00
€ 201.408,00
€ 202.260,00
€ 199.620,00
€ 208.500,00
€ 202.260,00
€ 189.960,00
€ 181.068,00
€ 196.104,00
€ 163.452,00
€ 184.656,00
€ 194.316,00
€ 194.316,00
€ 182.856,00
€ 172.260,00
€ 171.408,00
€ 181.068,00
€ 172.260,00
€ 155.508,00
€ 143.964,00
€ 156.360,00
€ 127.212,00
€ 153.708,00
€ 167.808,00
€ 172.260,00
€ 162.516,00
€ 150.204,00
€ 159.012,00
€ 162.516,00
€ 159.864,00
€ 133.356,00
€ 121.056,00
€ 129.852,00
€ 103.356,00
€ 130.716,00
€ 140.460,00
€ 148.404,00
€ 135.156,00
€ 122.760,00
€ 129.852,00
€ 133.356,00
€ 126.348,00
€ 99.852,00
€ 88.308,00
€ 98.904,00
€ 69.756,00
€ 101.556,00
€ 121.056,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279574&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279574&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279574&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'Gwilym Jenkins' @ jenkins.wessa.net



Parameters (Session):
par4 = 12 ;
Parameters (R input):
par1 = ; par2 = ; par3 = ; 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')