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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 computationFri, 02 Oct 2015 12:08:09 +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/2015/Oct/02/t14437841202ydzqow71heyth1.htm/, Retrieved Tue, 14 May 2024 17:48:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281041, Retrieved Tue, 14 May 2024 17:48:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

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] [] [2015-09-25 19:44:43] [ba9845715efdcdf5bf90594b26d5ea9c]
- R PD    [Univariate Data Series] [] [2015-10-02 11:08:09] [eed3b94f44ab74d862a61d666a631b56] [Current]
- RMP       [Histogram] [] [2015-10-02 11:09:44] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMP         [Kernel Density Estimation] [] [2015-10-02 11:11:22] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Quartiles] [] [2016-01-03 09:15:20] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Notched Boxplots] [] [2016-01-03 09:29:27] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Quartiles] [] [2016-01-03 09:38:36] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Notched Boxplots] [] [2016-01-03 09:43:13] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Harrell-Davis Quantiles] [] [2016-01-03 09:52:45] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Harrell-Davis Quantiles] [] [2016-01-03 09:57:51] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Harrell-Davis Quantiles] [] [2016-01-03 10:06:17] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Central Tendency] [] [2016-01-03 12:39:11] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Mean versus Median] [] [2016-01-03 12:49:57] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Central Tendency] [] [2016-01-03 13:00:16] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Mean versus Median] [] [2016-01-03 13:04:26] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Mean Plot] [] [2016-01-03 13:10:28] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Mean Plot] [] [2016-01-03 13:28:37] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [(Partial) Autocorrelation Function] [] [2016-01-03 13:49:22] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [(Partial) Autocorrelation Function] [] [2016-01-03 13:56:41] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [(Partial) Autocorrelation Function] [] [2016-01-03 14:01:36] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [(Partial) Autocorrelation Function] [] [2016-01-03 14:05:49] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Variability] [] [2016-01-03 14:13:16] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Standard Deviation Plot] [] [2016-01-03 14:26:29] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Standard Deviation-Mean Plot] [] [2016-01-03 14:42:28] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Variability] [] [2016-01-03 15:16:12] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Standard Deviation Plot] [] [2016-01-03 15:21:00] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Standard Deviation-Mean Plot] [] [2016-01-03 15:30:10] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Standard Deviation-Mean Plot] [] [2016-01-03 15:33:49] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Classical Decomposition] [] [2016-01-03 15:41:54] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Classical Decomposition] [] [2016-01-03 15:52:34] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Exponential Smoothing] [] [2016-01-03 17:36:53] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Exponential Smoothing] [] [2016-01-03 17:41:05] [ba9845715efdcdf5bf90594b26d5ea9c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100.4
100.4
100.4
100.4
100.4
100.4
100.4
100.4
100.4
100.4
101.4
101.4
102
102
102.6
102.6
102.6
102.6
102.6
102.6
102.3
102.4
102.4
102.4
102.9
102.9
102.9
104.9
104.9
105.5
105.5
105.5
105.5
105.5
105.5
105.5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281041&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281041&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281041&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Univariate Dataseries
Name of dataseriesWerkoosheid
SourceNBB Statistieken
DescriptionAantal niet-werkende werkzoekenden
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Werkoosheid \tabularnewline
Source & NBB Statistieken \tabularnewline
Description & Aantal niet-werkende werkzoekenden \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281041&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Werkoosheid[/C][/ROW]
[ROW][C]Source[/C][C]NBB Statistieken[/C][/ROW]
[ROW][C]Description[/C][C]Aantal niet-werkende werkzoekenden[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281041&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281041&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 dataseriesWerkoosheid
SourceNBB Statistieken
DescriptionAantal niet-werkende werkzoekenden
Number of observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = vervaardiging Bier ; par2 = NBB Statistieken ; par3 = Vervaardiging bier tegenover 2010 ; par4 = 12 ;
Parameters (R input):
par1 = vervaardiging Bier ; par2 = NBB Statistieken ; par3 = Vervaardiging bier tegenover 2010 ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- 'No season'
par3 <- 'Aantal niet-werkende werkzoekenden'
par2 <- 'NBB Statistieken'
par1 <- 'Werkoosheid'
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')