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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 11 Jul 2016 18:21:44 +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/11/t146825800948dsb79ujnur9xz.htm/, Retrieved Mon, 06 May 2024 16:43:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295826, Retrieved Mon, 06 May 2024 16:43:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [reeks A stap 1] [2016-07-11 17:21:44] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- R PD    [Univariate Data Series] [reeks A stap 2] [2016-07-11 17:30:36] [74be16979710d4c4e7c6647856088456]
- R PD    [Univariate Data Series] [reeks A stap 2] [2016-07-11 17:30:36] [74be16979710d4c4e7c6647856088456]
- RMP       [Histogram] [Reeks A stap 3] [2016-07-11 17:36:24] [74be16979710d4c4e7c6647856088456]
- RMP         [Kernel Density Estimation] [Reeks A stap 6] [2016-07-11 17:51:48] [74be16979710d4c4e7c6647856088456]
- RMP         [Quartiles] [reeks A stap 8] [2016-07-11 17:56:11] [74be16979710d4c4e7c6647856088456]
- RMP         [Notched Boxplots] [reeks A stap 9] [2016-07-11 18:02:33] [74be16979710d4c4e7c6647856088456]
- RMP           [Harrell-Davis Quantiles] [reeks A stap 11] [2016-07-11 18:07:56] [74be16979710d4c4e7c6647856088456]
- RMP           [Harrell-Davis Quantiles] [reeks A stap 12+13] [2016-07-11 18:16:58] [74be16979710d4c4e7c6647856088456]
- RMP           [Central Tendency] [reeks A stap 14] [2016-07-11 18:20:20] [74be16979710d4c4e7c6647856088456]
- RMP           [Mean Plot] [reeks A stap 18] [2016-07-11 18:33:58] [74be16979710d4c4e7c6647856088456]
- RMP           [(Partial) Autocorrelation Function] [reeks A stap 20] [2016-07-11 18:39:14] [74be16979710d4c4e7c6647856088456]
- RMP           [Standard Deviation Plot] [reeks A stap 23&24] [2016-07-11 18:43:19] [74be16979710d4c4e7c6647856088456]
- RMP           [Standard Deviation-Mean Plot] [reeks A stap 26] [2016-07-11 18:48:27] [74be16979710d4c4e7c6647856088456]
-   PD      [Univariate Data Series] [Reeks B stap 1 ] [2016-07-11 19:01:12] [74be16979710d4c4e7c6647856088456]
- RMPD      [Histogram] [Reeks B stap 2] [2016-07-11 19:08:37] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
1230
1230
1230
1230
1230
1230
1230
1230
1230
1230
1230
1230
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1230
1230
1230
1230
1230
1230
1230
1230
1230




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=295826&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=295826&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295826&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 dataseriesomzet projectieschermen op jaarbasis
Sourceniet gekend
Descriptionomzet projectieschermen op jaarbasis 2006-2015
Number of observations108

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & omzet projectieschermen op jaarbasis \tabularnewline
Source & niet gekend \tabularnewline
Description & omzet projectieschermen op jaarbasis 2006-2015 \tabularnewline
Number of observations & 108 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295826&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]omzet projectieschermen op jaarbasis[/C][/ROW]
[ROW][C]Source[/C][C]niet gekend[/C][/ROW]
[ROW][C]Description[/C][C]omzet projectieschermen op jaarbasis 2006-2015[/C][/ROW]
[ROW][C]Number of observations[/C][C]108[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295826&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295826&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 dataseriesomzet projectieschermen op jaarbasis
Sourceniet gekend
Descriptionomzet projectieschermen op jaarbasis 2006-2015
Number of observations108



Parameters (Session):
par1 = omzet projectieschermen op jaarbasis ; par2 = niet gekend ; par3 = omzet projectieschermen op jaarbasis 2006-2015 ; par4 = 12 ;
Parameters (R input):
par1 = omzet projectieschermen op jaarbasis ; par2 = niet gekend ; par3 = omzet projectieschermen op jaarbasis 2006-2015 ; 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')