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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationFri, 25 Sep 2015 20:44:43 +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/Sep/25/t1443210430nyqpwuvbd1idpjq.htm/, Retrieved Wed, 15 May 2024 14:52:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280688, Retrieved Wed, 15 May 2024 14:52:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
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] [eed3b94f44ab74d862a61d666a631b56] [Current]
- R PD    [Univariate Data Series] [] [2015-10-02 11:08:09] [ba9845715efdcdf5bf90594b26d5ea9c]
- 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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Dataseries X:
492865
480961
461935
456608
441977
439148
488180
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945
506174
501866
516141
528222
532638
536322
536535
523597
536214
586570
596594
580523
564478
557560
575093
580112
574761
563250
551531
537034
544686
600991
604378
586111
563668
548604
551174
555654
547970
540324
530577
520579
518654
572273
581302
563280
547612
538712
540735
561649
558685
545732
536352
527676
530455
581744
598714
583775
571477
563278
564872
577537
572399
565430
560619
551227
553397
610893
621668
613148
598778
590623
595902
612186
603453
593362
581940
568075
567467
619423
627325
617144
602280
590816
589812
600615




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280688&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280688&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280688&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Univariate Dataseries
Name of dataseriesWerkoosheid
SourceNBB Statistieken
DescriptionAantal niet-werkende werkzoekenden
Number of observations181

\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 & 181 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280688&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]181[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280688&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280688&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 dataseriesWerkoosheid
SourceNBB Statistieken
DescriptionAantal niet-werkende werkzoekenden
Number of observations181



Parameters (Session):
par1 = Werkoosheid ; par2 = NBB Statistieken ; par3 = Aantal niet-werkende werkzoekenden ; par4 = 12 ;
Parameters (R input):
par1 = Werkoosheid ; par2 = NBB Statistieken ; par3 = Aantal niet-werkende werkzoekenden ; 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')