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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 22 Sep 2014 12:58:33 +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/2014/Sep/22/t1411387238hm0jku9u9s8w55o.htm/, Retrieved Fri, 10 May 2024 13:04:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236052, Retrieved Fri, 10 May 2024 13:04:12 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Aankoop nieuwe wa...] [2014-09-22 11:58:33] [a418df0467d62d7609ae3da3ca30d8a3] [Current]
- RMPD    [Histogram] [] [2014-09-29 20:18:46] [859c5b1ac426e9908e42a61e45afb281]
- RMPD    [Kernel Density Estimation] [] [2014-09-29 20:27:11] [859c5b1ac426e9908e42a61e45afb281]
- RMPD    [Quartiles] [] [2014-10-08 11:05:56] [859c5b1ac426e9908e42a61e45afb281]
- RMPD    [Notched Boxplots] [] [2014-10-08 11:10:53] [859c5b1ac426e9908e42a61e45afb281]
- RMPD    [Harrell-Davis Quantiles] [] [2014-10-08 11:22:49] [859c5b1ac426e9908e42a61e45afb281]
- RMPD    [Harrell-Davis Quantiles] [] [2014-10-08 14:02:00] [859c5b1ac426e9908e42a61e45afb281]
- RMP     [Harrell-Davis Quantiles] [] [2014-10-08 14:22:11] [859c5b1ac426e9908e42a61e45afb281]
- RMPD    [Harrell-Davis Quantiles] [] [2014-10-08 14:23:34] [859c5b1ac426e9908e42a61e45afb281]
- RMP       [Central Tendency] [] [2014-10-13 13:42:27] [859c5b1ac426e9908e42a61e45afb281]
- RMP       [Mean versus Median] [] [2014-10-13 13:49:49] [859c5b1ac426e9908e42a61e45afb281]
- RMP       [Mean Plot] [] [2014-10-13 19:38:12] [859c5b1ac426e9908e42a61e45afb281]
- RMPD    [Harrell-Davis Quantiles] [] [2014-10-08 14:37:49] [859c5b1ac426e9908e42a61e45afb281]
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Dataseries X:
103,77
103,82
103,86
103,9
103,63
103,65
103,7
103,77
103,94
104,03
104,03
104,29
104,35
104,67
104,73
104,86
104,05
104,15
104,27
104,33
104,41
104,4
104,41
104,6
104,61
104,65
104,55
104,51
104,74
104,89
104,91
104,93
104,95
104,97
105,16
105,29
105,35
105,36
105,45
105,3
105,73
105,86
105,85
105,95
105,97
106,15
105,37
105,39
105,39
105,38
105,23
105,34
104,98
105,16
105,27
105,27
105,33
105,33
105,46
105,54
105,59
105,57
105,62
105,57
105,33
105,34
105,5
105,47
105,59
105,65
105,8
105,87




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236052&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236052&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236052&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Univariate Dataseries
Name of dataseriesAankoop nieuwe wagens
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?TableId=596000073&Lang=N
DescriptionAankoop van nieuwe wagens per maand in indexcijfers met als basisjaar 2004 (=100)
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Aankoop nieuwe wagens \tabularnewline
Source & http://www.nbb.be/belgostat/PresentationLinker?TableId=596000073&Lang=N \tabularnewline
Description & Aankoop van nieuwe wagens per maand in indexcijfers met als basisjaar 2004 (=100) \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236052&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Aankoop nieuwe wagens[/C][/ROW]
[ROW][C]Source[/C][C]http://www.nbb.be/belgostat/PresentationLinker?TableId=596000073&Lang=N[/C][/ROW]
[ROW][C]Description[/C][C]Aankoop van nieuwe wagens per maand in indexcijfers met als basisjaar 2004 (=100)[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236052&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236052&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 dataseriesAankoop nieuwe wagens
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?TableId=596000073&Lang=N
DescriptionAankoop van nieuwe wagens per maand in indexcijfers met als basisjaar 2004 (=100)
Number of observations72



Parameters (Session):
par1 = Aankoop nieuwe wagens ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=596000073&Lang=N ; par3 = Aankoop van nieuwe wagens per maand in indexcijfers met als basisjaar 2004 (=100) ; par4 = 6 ;
Parameters (R input):
par1 = Aankoop nieuwe wagens ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=596000073&Lang=N ; par3 = Aankoop van nieuwe wagens per maand in indexcijfers met als basisjaar 2004 (=100) ; par4 = 6 ;
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')