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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 24 Sep 2013 07:32:06 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Sep/24/t138002233544q7syible72p4i.htm/, Retrieved Tue, 30 Apr 2024 09:57:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211842, Retrieved Tue, 30 Apr 2024 09:57:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-09-24 11:29:23] [7cf2bb6df15d8709f3116b3522b2e1ad]
- R PD    [Univariate Data Series] [] [2013-09-24 11:32:06] [0867de6134d40384f45e4afedb3459b9] [Current]
-   P       [Univariate Data Series] [] [2013-09-24 11:33:34] [7cf2bb6df15d8709f3116b3522b2e1ad]
- RMP       [Histogram] [] [2013-09-24 12:00:03] [7cf2bb6df15d8709f3116b3522b2e1ad]
-   P         [Histogram] [] [2013-09-24 12:03:48] [7cf2bb6df15d8709f3116b3522b2e1ad]
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Dataseries X:
80
80
80
80
80
80
80
80
80
80
80
80
80
80
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
110
110
110
110
110
110
110
110
110
110
110
110
110
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
200
210




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211842&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]2 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=211842&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211842&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Univariate Dataseries
Name of dataseriesGem. Wekelijkse uitgaven in supermarkt
SourceBlackbord
Descriptionop de Y as kan je de prijs vinden en op de X as het aantal mensen waarvan de gemiddelde wekelijkse uitgaven in de supermarkt werden opgenomen
Number of observations153

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gem. Wekelijkse uitgaven in supermarkt \tabularnewline
Source & Blackbord \tabularnewline
Description & op de Y as kan je de prijs vinden en op de X as het aantal mensen waarvan de gemiddelde wekelijkse uitgaven in de supermarkt werden opgenomen  \tabularnewline
Number of observations & 153 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211842&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gem. Wekelijkse uitgaven in supermarkt[/C][/ROW]
[ROW][C]Source[/C][C]Blackbord[/C][/ROW]
[ROW][C]Description[/C][C]op de Y as kan je de prijs vinden en op de X as het aantal mensen waarvan de gemiddelde wekelijkse uitgaven in de supermarkt werden opgenomen [/C][/ROW]
[ROW][C]Number of observations[/C][C]153[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211842&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211842&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Univariate Dataseries
Name of dataseriesGem. Wekelijkse uitgaven in supermarkt
SourceBlackbord
Descriptionop de Y as kan je de prijs vinden en op de X as het aantal mensen waarvan de gemiddelde wekelijkse uitgaven in de supermarkt werden opgenomen
Number of observations153



Parameters (Session):
par1 = Gem. Wekelijkse uitgaven in supermarkt ; par2 = Blackbord ; par3 = op de Y as kan je de prijs vinden en op de X as het aantal mensen waarvan de gemiddelde wekelijkse uitgaven in de supermarkt werden opgenomen ; par4 = 12 ;
Parameters (R input):
par1 = Gem. Wekelijkse uitgaven in supermarkt ; par2 = Blackbord ; par3 = op de Y as kan je de prijs vinden en op de X as het aantal mensen waarvan de gemiddelde wekelijkse uitgaven in de supermarkt werden opgenomen ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'op de Y as kan je de prijs vinden en op de X as het aantal mensen waarvan de gemiddelde wekelijkse uitgaven in de supermarkt werden opgenomen '
par2 <- 'Blackbord'
par1 <- 'Gem. Wekelijkse uitgaven in supermarkt'
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')