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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 28 Apr 2013 07:23:04 -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/Apr/28/t1367148278tniwrc5xsqxj3ka.htm/, Retrieved Thu, 02 May 2024 22:39:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=208431, Retrieved Thu, 02 May 2024 22:39:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2013-04-28 11:23:04] [bc4d9ad98829fcb778aa9177827398a7] [Current]
- RMPD    [Histogram] [histogram en fre...] [2013-05-18 08:52:10] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Kernel Density Estimation] [dichtheidsgrafiek...] [2013-05-18 08:57:31] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Quartiles] [kwartielen maximu...] [2013-05-18 09:07:06] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Notched Boxplots] [boxplot maximumpr...] [2013-05-18 09:11:56] [29aacce205cd6796d1c8a54bc6d6b704]
- RMP     [Quartiles] [kwartielen gemid....] [2013-05-18 09:26:36] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Notched Boxplots] [box plot gemid. c...] [2013-05-18 09:30:27] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Harrell-Davis Quantiles] [harrel davis perc...] [2013-05-18 09:45:51] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Harrell-Davis Quantiles] [harrel davis perc...] [2013-05-18 09:51:20] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Harrell-Davis Quantiles] [harrel davis perc...] [2013-05-18 09:59:43] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Harrell-Davis Quantiles] [harrel davis perc...] [2013-05-18 10:02:30] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Central Tendency] [centrummaten maxp...] [2013-05-18 10:48:19] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Mean versus Median] [mean vs median. m...] [2013-05-18 10:57:33] [29aacce205cd6796d1c8a54bc6d6b704]
- RMP     [Central Tendency] [centrummaten gemi...] [2013-05-18 11:03:24] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Mean versus Median] [mean vs median ge...] [2013-05-18 11:09:09] [29aacce205cd6796d1c8a54bc6d6b704]
-   PD    [Univariate Data Series] [gemiddeldengrafie...] [2013-05-18 12:39:27] [29aacce205cd6796d1c8a54bc6d6b704]
-   PD    [Univariate Data Series] [gemiddeldengrafie...] [2013-05-18 12:39:27] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Mean Plot] [mean vs median pl...] [2013-05-18 12:44:00] [29aacce205cd6796d1c8a54bc6d6b704]
-   P     [Univariate Data Series] [gemiddelde data g...] [2013-05-18 12:54:40] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [Mean Plot] [trend of seizoena...] [2013-05-18 12:59:22] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [(Partial) Autocorrelation Function] [autocorrelatie in...] [2013-05-18 14:37:38] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [(Partial) Autocorrelation Function] [autocorrelatie in...] [2013-05-18 14:46:00] [29aacce205cd6796d1c8a54bc6d6b704]
- RMP     [(Partial) Autocorrelation Function] [autocorrelatie ge...] [2013-05-18 14:50:28] [29aacce205cd6796d1c8a54bc6d6b704]
- RMPD    [(Partial) Autocorrelation Function] [autocorrelatie ge...] [2013-05-18 14:54:47] [29aacce205cd6796d1c8a54bc6d6b704]
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Dataseries X:
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,06
4,07
4,07
4,07
4,07
4,07
4,30
4,44
4,52
4,52
4,52
4,53
4,53
4,53
4,53
4,53
4,53
4,53
4,53
4,61
4,63
4,63
4,63
4,63
4,63
4,63
4,63
4,63
4,63
4,63
4,66
4,70
4,72
4,73
4,73
4,74
4,74
4,74
4,76
4,88
4,88
4,88
4,88
4,89
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,98
5,00
5,03
5,04
5,04
5,05
5,05
5,05
5,06




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=208431&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=208431&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=208431&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







Univariate Dataseries
Name of dataseriesGemiddelde consumptieprijs lange sigaretten
SourceBelgoStat
DescriptionGeeft de gemiddelde consumptieprijs weer van lange sigaretten, interval: maand
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gemiddelde consumptieprijs lange sigaretten  \tabularnewline
Source & BelgoStat \tabularnewline
Description & Geeft de gemiddelde consumptieprijs weer van lange sigaretten, interval: maand \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=208431&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gemiddelde consumptieprijs lange sigaretten [/C][/ROW]
[ROW][C]Source[/C][C]BelgoStat[/C][/ROW]
[ROW][C]Description[/C][C]Geeft de gemiddelde consumptieprijs weer van lange sigaretten, interval: maand[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=208431&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=208431&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 dataseriesGemiddelde consumptieprijs lange sigaretten
SourceBelgoStat
DescriptionGeeft de gemiddelde consumptieprijs weer van lange sigaretten, interval: maand
Number of observations72



Parameters (Session):
par1 = Gemiddelde consumptieprijs lange sigaretten ; par2 = BelgoStat ; par3 = Geeft de gemiddelde consumptieprijs weer van lange sigaretten, interval: maand ; par4 = 12 ;
Parameters (R input):
par1 = Gemiddelde consumptieprijs lange sigaretten ; par2 = BelgoStat ; par3 = Geeft de gemiddelde consumptieprijs weer van lange sigaretten, interval: maand ; 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')