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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 19 Oct 2009 13:45:19 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/19/t125598159826fly1ptqc8vd30.htm/, Retrieved Mon, 29 Apr 2024 18:15:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48175, Retrieved Mon, 29 Apr 2024 18:15:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
-   PD        [Univariate Data Series] [JJ Workshop 3, De...] [2009-10-19 19:45:19] [e31f2fa83f4a5291b9a51009566cf69b] [Current]
- RMP           [Harrell-Davis Quantiles] [JJ Workshop 3, de...] [2009-10-20 16:11:22] [96e597a9107bfe8c07649cce3d4f6fec]
- RMP           [Percentiles] [JJ Workshop 3, de...] [2009-10-20 16:16:05] [96e597a9107bfe8c07649cce3d4f6fec]
-  MPD          [Univariate Data Series] [Paper, verhouding...] [2009-12-22 13:07:46] [96e597a9107bfe8c07649cce3d4f6fec]
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Dataseries X:
1.109411765
1.03433923
1.018485915
1
0.971762415
0.898876404
0.933172303
0.92614601
0.964638158
0.93129771
1.012567325
1.008196721
1.079913607
1.080076263
1.017456359
1.03116407
1.119226638
1.059564719
1.096351731
1.070519099
1.036132813
1.048543689
1.046719682
1.024154589
1.088580576
1.100389864
1.077705828
1.084041549
1.153846154
1.04400978
1.104046243
1.147181628
1.086299892
1.142433234
1.144318182
1.066810345
1.140468227
1.138075314
1.112394958
1.168214654
1.208333333
1.100680272
1.142427282
1.117312073
1.125958379
1.115015974
1.065555556
1.053452116
1.142857143
0.997120921
0.995487365
1.032579186
1.111366246
0.979820628
1.154404145
1.020964361
1.018811881
1.04739777
1.034115139
1.013859275




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48175&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48175&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48175&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Univariate Dataseries
Name of dataseriesVerhouding totale industriële activiteitsindex/activiteitsindex in de metallurgie
Source
DescriptionVerhouding totale industriële activiteit vs activiteit in sector
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Verhouding totale industriële activiteitsindex/activiteitsindex in de metallurgie \tabularnewline
Source &  \tabularnewline
Description & Verhouding totale industriële activiteit vs activiteit in sector \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48175&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Verhouding totale industriële activiteitsindex/activiteitsindex in de metallurgie[/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C]Verhouding totale industriële activiteit vs activiteit in sector[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48175&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48175&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 dataseriesVerhouding totale industriële activiteitsindex/activiteitsindex in de metallurgie
Source
DescriptionVerhouding totale industriële activiteit vs activiteit in sector
Number of observations60



Parameters (Session):
par1 = Verhouding totale industriële activiteitsindex/activiteitsindex in de metallurgie ; par3 = Verhouding totale industriële activiteit vs activiteit in sector ;
Parameters (R input):
par1 = Verhouding totale industriële activiteitsindex/activiteitsindex in de metallurgie ; par2 = ; par3 = Verhouding totale industriële activiteit vs activiteit in sector ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
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')