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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 08 Jan 2013 15:40:58 -0500
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/Jan/08/t1357677684ue1x9jqvvpjajzq.htm/, Retrieved Thu, 02 May 2024 17:39:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205080, Retrieved Thu, 02 May 2024 17:39:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Opgave 4 oef 1 st...] [2013-01-08 17:32:56] [1d73611e45a05aa2060be114fa39c596]
- R  D  [Harrell-Davis Quantiles] [Opgave 4 oef 2 st...] [2013-01-08 17:53:10] [1d73611e45a05aa2060be114fa39c596]
- RMPD    [Central Tendency] [Opgave 5 Oef 1 st...] [2013-01-08 18:52:58] [1d73611e45a05aa2060be114fa39c596]
- RMPD      [Univariate Data Series] [Opgave 6 Oef 1 st...] [2013-01-08 20:12:04] [1d73611e45a05aa2060be114fa39c596]
-   PD          [Univariate Data Series] [Opgave 6 oef 2 st...] [2013-01-08 20:40:58] [40325e7317026cf0d36242170f65df44] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101,81
101,72
101,78
102,04
102,36
102,56
102,69
102,77
102,85
102,9
102,72
102,79
102,9
102,91
103,29
103,35
102,97
103,05
103,18
103,21
103,32
103,31
103,6
103,68
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

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205080&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205080&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205080&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' @ fisher.wessa.net






Univariate Dataseries
Name of dataseriesGem consumtieprijs voertuigen
SourceAnn Ottevaere
Descriptiongemiddelde consumptieprijzen van nieuwe (BIV inbegrepen) en tweedehandse voertuigen van begin 2006 tem het einde van 2011
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gem consumtieprijs voertuigen \tabularnewline
Source & Ann Ottevaere \tabularnewline
Description & gemiddelde consumptieprijzen van nieuwe (BIV inbegrepen) en tweedehandse voertuigen van begin 2006 tem het einde van 2011 \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205080&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gem consumtieprijs voertuigen[/C][/ROW]
[ROW][C]Source[/C][C]Ann Ottevaere[/C][/ROW]
[ROW][C]Description[/C][C]gemiddelde consumptieprijzen van nieuwe (BIV inbegrepen) en tweedehandse voertuigen van begin 2006 tem het einde van 2011[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205080&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205080&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 dataseriesGem consumtieprijs voertuigen
SourceAnn Ottevaere
Descriptiongemiddelde consumptieprijzen van nieuwe (BIV inbegrepen) en tweedehandse voertuigen van begin 2006 tem het einde van 2011
Number of observations72


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Inschrijvingen nieuwe personenwagens (maandelijks) ; par2 = Excelbestand BlackBoard ; par3 = Maandelijkse gegevens van inschrijvingen nieuwe personenwagens van begin 2000 tot eind 2005 ; par4 = 12 ;
Parameters (R input):
par1 = Gem consumtieprijs voertuigen ; par2 = Ann Ottevaere ; par3 = gemiddelde consumptieprijzen van nieuwe (BIV inbegrepen) en tweedehandse voertuigen van begin 2006 tem het einde van 2011 ; 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')