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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 computationWed, 24 Sep 2014 14:54:39 +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/2014/Sep/24/t14115669364eg00wrt4cwn7v4.htm/, Retrieved Fri, 10 May 2024 02:27:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236127, Retrieved Fri, 10 May 2024 02:27:07 +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)
-       [Univariate Data Series] [Werkloosheid België] [2014-09-24 13:54:39] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- R PD    [Univariate Data Series] [Werkloosheid België] [2014-09-30 14:57:47] [b1f04123d82573d686ac8c7adc52feaa]
- RMP       [Histogram] [Werkloosheid Belg...] [2014-09-30 15:12:53] [b1f04123d82573d686ac8c7adc52feaa]
- RMP       [Histogram] [Werkloosheid Belg...] [2014-09-30 15:32:53] [b1f04123d82573d686ac8c7adc52feaa]
- RMP       [Histogram] [Werkloosheid Belg...] [2014-09-30 15:37:12] [b1f04123d82573d686ac8c7adc52feaa]
- RMP         [Kernel Density Estimation] [Dichtheidsgrafiek...] [2014-09-30 15:52:58] [b1f04123d82573d686ac8c7adc52feaa]
- RMP       [Harrell-Davis Quantiles] [Harrel-Davis deci...] [2014-10-05 11:25:49] [71de952998f24b3a5e447ef3e82cc127]
- RMP       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2014-10-05 11:30:08] [b1f04123d82573d686ac8c7adc52feaa]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
528
533
536
537
524
536
587
597
581
564
558
575
580
575
563
552
537
545
601
604
586
564
549
551
556
548
540
531
521
519
572
581
563
548
539
541
562
559
546
536
528
530
582
599
584
571
563
565
578
572
565
561
551
553
611
622
613
599
591
596
612

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236127&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236127&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236127&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'Sir Maurice George Kendall' @ kendall.wessa.net






Univariate Dataseries
Name of dataseriesWerkloosheid België
SourceBelgostat
DescriptionAantal werklozen in België op het einde van een periode gegeven in duizendtallen
Number of observations85

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Werkloosheid België \tabularnewline
Source & Belgostat \tabularnewline
Description & Aantal werklozen in België op het einde van een periode gegeven in duizendtallen \tabularnewline
Number of observations & 85 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236127&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Werkloosheid België[/C][/ROW]
[ROW][C]Source[/C][C]Belgostat[/C][/ROW]
[ROW][C]Description[/C][C]Aantal werklozen in België op het einde van een periode gegeven in duizendtallen[/C][/ROW]
[ROW][C]Number of observations[/C][C]85[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236127&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236127&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 dataseriesWerkloosheid België
SourceBelgostat
DescriptionAantal werklozen in België op het einde van een periode gegeven in duizendtallen
Number of observations85


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Werkloosheid België ; par2 = Belgostat ; par3 = Aantal werklozen in België op het einde van een periode gegeven in duizendtallen ; par4 = 12 ;
Parameters (R input):
par1 = Werkloosheid België ; par2 = Belgostat ; par3 = Aantal werklozen in België op het einde van een periode gegeven in duizendtallen ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Aantal werklozen in België op het einde van een periode gegeven in duizendtallen'
par2 <- 'Belgostat'
par1 <- 'Werkloosheid België'
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')