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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 31 Jan 2013 13:05:59 -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/31/t1359655887ki9pbrlttmx4xkm.htm/, Retrieved Sat, 27 Apr 2024 19:36:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205979, Retrieved Sat, 27 Apr 2024 19:36:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [gemiddelde consum...] [2013-01-31 18:05:59] [bac2f2624fae9e19ba2034f83762a8f3] [Current]
- R PD    [Univariate Data Series] [consumptieprijzen] [2013-02-13 09:31:06] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Histogram] [Number of bins 1,...] [2013-02-13 09:35:52] [6a6c2f75bf2bd9708d5f14e301096fe2]
- R P       [Histogram] [12 bins histogram] [2013-02-13 09:37:48] [6a6c2f75bf2bd9708d5f14e301096fe2]
- R P         [Histogram] [20 bins] [2013-02-13 09:39:03] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Histogram] [Frequentietabel 1] [2013-02-21 14:31:07] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMP     [Histogram] [frequentietabel 1] [2013-02-21 14:34:33] [6a6c2f75bf2bd9708d5f14e301096fe2]
-   PD    [Univariate Data Series] [maximumprijs part...] [2013-02-21 14:43:16] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [] [maximumprijs part...] [-0001-11-30 00:00:00] [6a6c2f75bf2bd9708d5f14e301096fe2]
-   PD    [Univariate Data Series] [maximumprijs part...] [2013-02-21 14:47:08] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Histogram] [Studio 100 PRIJS ...] [2013-02-21 14:50:14] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Histogram] [studio 100 PRIJS ...] [2013-02-21 14:58:51] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Histogram] [studio 100 PRIJS ...] [2013-02-21 15:03:17] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Quartiles] [kwartielen] [2013-02-21 15:13:23] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Notched Boxplots] [box plot] [2013-02-21 15:17:32] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Quartiles] [kwartielen consum...] [2013-02-21 15:24:10] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD      [Notched Boxplots] [box plot broeken] [2013-02-21 15:29:26] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD      [Harrell-Davis Quantiles] [inschrijvingen ni...] [2013-02-21 15:36:55] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Harrell-Davis Quantiles] [Harel davies deci...] [2013-02-21 15:40:44] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Histogram] [] [2013-05-23 09:49:17] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Histogram] [] [2013-05-23 09:51:41] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Kernel Density Estimation] [Dichtheidsgrafiek...] [2013-05-23 09:55:34] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Harrell-Davis Quantiles] [Decielen] [2013-05-23 10:18:46] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Harrell-Davis Quantiles] [Decielen] [2013-05-23 11:03:18] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Mean versus Median] [] [2013-05-23 11:59:47] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Mean versus Median] [] [2013-05-23 11:59:47] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [Mean versus Median] [] [2013-05-23 11:59:47] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [(Partial) Autocorrelation Function] [] [2013-05-23 14:14:41] [6a6c2f75bf2bd9708d5f14e301096fe2]
- R P       [(Partial) Autocorrelation Function] [] [2013-05-26 13:30:29] [6a6c2f75bf2bd9708d5f14e301096fe2]
- RMPD    [(Partial) Autocorrelation Function] [] [2013-05-23 14:19:33] [6a6c2f75bf2bd9708d5f14e301096fe2]
- R PD      [(Partial) Autocorrelation Function] [] [2013-05-26 13:36:27] [6a6c2f75bf2bd9708d5f14e301096fe2]
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Dataseries X:
67,66
68
68,02
68,11
68,41
68,4
68,4
68,55
68,54
68,99
68,97
68,98
68,98
68,94
69,21
69,21
69,67
69,66
69,66
69,66
69,77
70,32
70,34
70,38
70,38
70,29
70,42
70,29
70,59
70,64
70,64
70,68
70,78
70,9
71,04
71,15
71,15
71,15
71,07
71,17
71,24
71,23
71,23
71,23
71,24
71,28
71,52
71,52
71,52
71,6
71,61
71,78
71,66
71,86
71,86
71,82
71,8
72,22
72,51
72,56
72,56
72,78
72,88
73,05
73,02
73,08
73,08
73,24
73,82
74
74,37
74,38




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205979&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205979&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205979&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'Herman Ole Andreas Wold' @ wold.wessa.net







Univariate Dataseries
Name of dataseriesgemiddelde consumptieprijzen broeken voor dames en heren
Sourcebelgostat
Descriptiongemiddelde consumptieprijzen broeken voor dames en heren
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & gemiddelde consumptieprijzen broeken voor dames en heren \tabularnewline
Source & belgostat \tabularnewline
Description & gemiddelde consumptieprijzen broeken voor dames en heren \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205979&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]gemiddelde consumptieprijzen broeken voor dames en heren[/C][/ROW]
[ROW][C]Source[/C][C]belgostat[/C][/ROW]
[ROW][C]Description[/C][C]gemiddelde consumptieprijzen broeken voor dames en heren[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205979&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205979&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 dataseriesgemiddelde consumptieprijzen broeken voor dames en heren
Sourcebelgostat
Descriptiongemiddelde consumptieprijzen broeken voor dames en heren
Number of observations72



Parameters (Session):
par1 = gemiddelde consumptieprijzen broeken voor dames en heren ; par2 = belgostat ; par3 = gemiddelde consumptieprijzen broeken voor dames en heren ; par4 = 12 ;
Parameters (R input):
par1 = gemiddelde consumptieprijzen broeken voor dames en heren ; par2 = belgostat ; par3 = gemiddelde consumptieprijzen broeken voor dames en heren ; 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')