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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 19 Dec 2010 15:13:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/19/t1292771518gupqb8v5q4ns3fa.htm/, Retrieved Sun, 05 May 2024 05:50:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112476, Retrieved Sun, 05 May 2024 05:50:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [Unemployment] [2010-11-29 09:05:21] [b98453cac15ba1066b407e146608df68]
-    D    [(Partial) Autocorrelation Function] [] [2010-12-04 15:53:43] [39e83c7b0ac936e906a817a1bb402750]
-   P       [(Partial) Autocorrelation Function] [] [2010-12-05 09:31:14] [39e83c7b0ac936e906a817a1bb402750]
- RMPD          [Univariate Data Series] [] [2010-12-19 15:13:34] [558c060a42ec367ec2c020fab85c25c7] [Current]
-   PD            [Univariate Data Series] [AMS (Academic mot...] [2010-12-19 17:32:44] [39e83c7b0ac936e906a817a1bb402750]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,3415
0,3554
0,4035
0,435
0,4105
0,4559
0,4755
0,4918
0,5175
0,5191
0,4754
0,4531
0,469
0,4716
0,4824
0,527
0,5172
0,515
0,5245
0,53
0,4836
0,4663
0,4592
0,4553
0,4217
0,4366
0,4532
0,4743
0,4776
0,4949
0,5069
0,498
0,5213
0,5394
0,6075
0,5919
0,5758
0,5916
0,6474
0,6704
0,7553
0,7891
0,784
0,7007
0,668
0,6102
0,5238
0,4237
0,3983
0,3879
0,3733
0,394
0,3945
0,4324
0,4233
0,455
0,4344
0,4388
0,4561
0,4512

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112476&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112476&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112476&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Univariate Dataseries
Name of dataseriesprijs (excl. BTW) gasolie verwarming
Sourcehttp://statbel.fgov.be/nl/statistieken/webinterface/index.jsp?loadDefaultId=87&IDBr=tcm:325
DescriptionGemiddelde prijs (excl. BTW) van gasolie voor verwarming (meer dan 2000 L) in € per l voor de periode januari 2005 tot december 2009
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & prijs (excl. BTW) gasolie verwarming \tabularnewline
Source & http://statbel.fgov.be/nl/statistieken/webinterface/index.jsp?loadDefaultId=87&IDBr=tcm:325 \tabularnewline
Description & Gemiddelde prijs (excl. BTW) van gasolie voor verwarming (meer dan 2000 L) in € per l voor de periode januari 2005 tot december 2009 \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112476&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]prijs (excl. BTW) gasolie verwarming[/C][/ROW]
[ROW][C]Source[/C][C]http://statbel.fgov.be/nl/statistieken/webinterface/index.jsp?loadDefaultId=87&IDBr=tcm:325[/C][/ROW]
[ROW][C]Description[/C][C]Gemiddelde prijs (excl. BTW) van gasolie voor verwarming (meer dan 2000 L) in € per l voor de periode januari 2005 tot december 2009[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112476&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112476&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Univariate Dataseries
Name of dataseriesprijs (excl. BTW) gasolie verwarming
Sourcehttp://statbel.fgov.be/nl/statistieken/webinterface/index.jsp?loadDefaultId=87&IDBr=tcm:325
DescriptionGemiddelde prijs (excl. BTW) van gasolie voor verwarming (meer dan 2000 L) in € per l voor de periode januari 2005 tot december 2009
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = prijs (excl. BTW) gasolie verwarming ; par2 = http://statbel.fgov.be/nl/statistieken/webinterface/index.jsp?loadDefaultId=87&IDBr=tcm:325 ; par3 = Gemiddelde prijs (excl. BTW) van gasolie voor verwarming (meer dan 2000 L) in € per l voor de periode januari 2005 tot december 2009 ; par4 = 12 ;
Parameters (R input):
par1 = prijs (excl. BTW) gasolie verwarming ; par2 = http://statbel.fgov.be/nl/statistieken/webinterface/index.jsp?loadDefaultId=87&IDBr=tcm:325 ; par3 = Gemiddelde prijs (excl. BTW) van gasolie voor verwarming (meer dan 2000 L) in € per l voor de periode januari 2005 tot december 2009 ; 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')