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Author's title

Author

*Unverified author*

R Software Module

rwasp_univariatedataseries.wasp

Title produced by software

Univariate Data Series

Date of computation

Thu, 29 Jan 2015 15:57:10 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/29/t1422547668popp4cy73025a62.htm/, Retrieved Tue, 14 May 2024 19:06:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276275, Retrieved Tue, 14 May 2024 19:06:10 +0000

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Original text written by user:

Er zijn 72 perioden, de 1e periode staat voor het eerste kwartaal van 1999, soms geeft een periode een gemiddelde weer van de 4 kwartalen in een jaar. Maar bijna alle perioden staan voor een kwartaal van 1999 tot en met 2014.

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

177

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Univariate Data Series] [Datareeks - prijs...] [2015-01-29 15:57:10] [24a1c9f91cd9dd71c8b0e9e460386711] [Current]
- RMPD    [Histogram] [frequentietabel c...] [2015-04-12 14:00:18] [32313e1485a196be6cd29129c21c8899] 
- R PD    [Univariate Data Series] [opgave 2 stap 1 g...] [2015-04-12 15:39:13] [32313e1485a196be6cd29129c21c8899] 
- RMPD    [Histogram] [opgave 2 stap 2 h...] [2015-04-12 15:46:58] [32313e1485a196be6cd29129c21c8899] 
- RMPD    [Kernel Density Estimation] [opgave 2 stap 3(d...] [2015-04-12 16:08:32] [32313e1485a196be6cd29129c21c8899] 
- RMPD    [Histogram] [opgave 2 oefening...] [2015-04-12 16:53:03] [32313e1485a196be6cd29129c21c8899] 
- RMPD    [Kernel Density Estimation] [opgave 2 oefening...] [2015-04-12 17:13:05] [32313e1485a196be6cd29129c21c8899] 
- R PD    [Univariate Data Series] [verbetering oef 1] [2015-05-26 17:01:41] [32313e1485a196be6cd29129c21c8899] 

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Dataseries X:

Download CSV

Histogram

Boxplots

13,3
15,2
17,4
19,1
16,25
19,9
19,4
18,2
15,8
18,2
13,5
12,1
10,3
8,8
8,2
6,8
5,9
4,9
3,9
3,6
2,8
4
4,2
4,2
4,8
4
3,8
4
3,7
4
3,9
4,6
4,6
4,6
4,5
4,1
4,1
4,4
4,2
4,4
3,2
2,8
1,7
-0,2
-2,9
-5,2
-5,3
-4,8
-2,2
-0,8
-1,1
-2,2
-1,5
-2
-2,8
-3,4
-2,4
-4,1
-5,5
-8,6
-7,6
-6,5
-8,6
-8,7
-4,6
-4,3
-6,6
-1,5
1,2
1,8
2,2
0,9

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276275&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276275&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276275&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Univariate Dataseries
Name of dataseries	prijsindex woningen
Source	http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=81886NED&D1=2&D2=0&D3=4,20-23,25-33,35-38,40-43,45-48,50-58,60-63,65-68,70-73,75-99&HDR=T,G1&STB=G2&VW=T
Description	De prijsindex van verkoopprijzen van woningen.
Number of observations	72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & prijsindex woningen \tabularnewline
Source & http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=81886NED&D1=2&D2=0&D3=4,20-23,25-33,35-38,40-43,45-48,50-58,60-63,65-68,70-73,75-99&HDR=T,G1&STB=G2&VW=T \tabularnewline
Description & De prijsindex van verkoopprijzen van woningen. \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276275&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]prijsindex woningen[/C][/ROW]
[ROW][C]Source[/C][C]http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=81886NED&D1=2&D2=0&D3=4,20-23,25-33,35-38,40-43,45-48,50-58,60-63,65-68,70-73,75-99&HDR=T,G1&STB=G2&VW=T[/C][/ROW]
[ROW][C]Description[/C][C]De prijsindex van verkoopprijzen van woningen.[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276275&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276275&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 dataseries	prijsindex woningen
Source	http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=81886NED&D1=2&D2=0&D3=4,20-23,25-33,35-38,40-43,45-48,50-58,60-63,65-68,70-73,75-99&HDR=T,G1&STB=G2&VW=T
Description	De prijsindex van verkoopprijzen van woningen.
Number of observations	72

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = prijsindex woningen ; par2 = http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=81886NED&D1=2&D2=0&D3=4,20-23,25-33,35-38,40-43,45-48,50-58,60-63,65-68,70-73,75-99&HDR=T,G1&STB=G2&VW=T ; par3 = De prijsindex van verkoopprijzen van woningen. ; par4 = 12 ;

Parameters (R input):

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')

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code