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Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 24 Nov 2011 10:52:40 -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/2011/Nov/24/t13221499814bcrb0jcunm10uf.htm/, Retrieved Fri, 01 Nov 2024 00:04:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147008, Retrieved Fri, 01 Nov 2024 00:04:18 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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- RMPD  [Univariate Data Series] [Data Co2 uitstoot] [2011-11-10 23:08:26] [15a5dd358825f04074b70fc847ec6454]
- R PD    [Univariate Data Series] [Gemiddelde levens...] [2011-11-24 15:49:30] [15a5dd358825f04074b70fc847ec6454]
- R PD        [Univariate Data Series] [GDP in $2005] [2011-11-24 15:52:40] [614dd89c388120cee0dd25886939832b] [Current]
-   PD          [Univariate Data Series] [Totale populatie ] [2011-11-24 15:54:48] [15a5dd358825f04074b70fc847ec6454]
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- RMPD            [Multiple Regression] [Multiple regression ] [2011-11-24 17:10:02] [15a5dd358825f04074b70fc847ec6454]
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Dataseries X:
60635408600,00
64463389370,00
66750859382,00
69032584255,95
72841303906,58
72838685607,53
75887977453,76
78936158549,66
81986612544,38
85038924238,38
87328862789,67
85794984680,72
88082838620,17
91885510657,40
96355573323,80
101321342608,80
105791395836,80
113241494103,00
117215849652,80
120940898880,60
125658810316,50
130873880200,80
139583536623,40
148226520849,00
153789461350,00
161871513310,40
171781295610,40
178996585758,20
176620960002,00
186604680395,00
187772917033,20
193109744878,60
197630528464,00
206483683756,40
203906590621,60
206783719069,34
206759082201,76
211878483671,40
214009149959,00
217203709135,40
222331811922,60
232825724880,00
241180274038,70
248494123822,10
253049202253,08
256922518700,16
254451243638,75
262662316800,94
268926171539,67
272037080259,13
281118338865,04
286389613939,39
296190694318,91
307294826961,69
309697986635,60
314369521231,48
317533640477,42
327005697520,69
332458473876,00
339794119726,27




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=147008&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=147008&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147008&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 dataseriesGDP (in $2005)
Sourcewww.gapminder.org
DescriptionGDP (in $2005)
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & GDP (in $2005)  \tabularnewline
Source & www.gapminder.org \tabularnewline
Description & GDP (in $2005)  \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147008&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]GDP (in $2005) [/C][/ROW]
[ROW][C]Source[/C][C]www.gapminder.org[/C][/ROW]
[ROW][C]Description[/C][C]GDP (in $2005) [/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147008&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147008&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 dataseriesGDP (in $2005)
Sourcewww.gapminder.org
DescriptionGDP (in $2005)
Number of observations60



Parameters (Session):
par1 = GDP (in $2005) ; par2 = www.gapminder.org ; par3 = GDP (in $2005) ; par4 = 12 ;
Parameters (R input):
par1 = GDP (in $2005) ; par2 = www.gapminder.org ; par3 = GDP (in $2005) ; 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')