Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidataseries.wasp
Title produced by softwareBivariate Data Series
Date of computationThu, 10 Nov 2011 18:31:12 -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/10/t1320967900ydgvjfahe13capf.htm/, Retrieved Tue, 23 Apr 2024 08:28:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141277, Retrieved Tue, 23 Apr 2024 08:28:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94
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]
-  MPD    [Bivariate Data Series] [Bivariate Data An...] [2011-11-10 23:31:12] [614dd89c388120cee0dd25886939832b] [Current]
Feedback Forum

Post a new message
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
Dataseries Y:
79717000
82855667
79346667
76270333
89532667
83541333
82456000
85818333
92106667
96873333
96580000
87769000
88396000
90995667
92785000
98112667
105779667
103660333
105435000
105204000
107466333
118554333
123614333
125620000
121524333
130830333
138871333
135215667
122096333
130005333
126566000
134808667
138761333
133778333
122598667
116446000
100745333
104419333
103477000
102054333
102446667
99528000
106549667
107587333
117091333
114029667
109721333
114697000
115063667
121234667
118393000
121308000
117579000
117414000
117740333
109417000
116442333
113311000
109391333
107198667




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=141277&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=141277&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141277&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







Bivariate Dataseries
Name of dataseries xBBP België
Source of xwww.gapminder.org
Description of xBBP België
Name of dataseries yCo2-Uitstoot België
Source of ywww.gapminder.org
Description of yCo2-uitstoot België <> BBP
Number of observations60

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & BBP België \tabularnewline
Source of x & www.gapminder.org \tabularnewline
Description of x & BBP België  \tabularnewline
Name of dataseries y & Co2-Uitstoot België \tabularnewline
Source of y & www.gapminder.org \tabularnewline
Description of y & Co2-uitstoot België <> BBP \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141277&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]BBP België[/C][/ROW]
[ROW][C]Source of x[/C][C]www.gapminder.org[/C][/ROW]
[ROW][C]Description of x[/C][C]BBP België [/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Co2-Uitstoot België[/C][/ROW]
[ROW][C]Source of y[/C][C]www.gapminder.org[/C][/ROW]
[ROW][C]Description of y[/C][C]Co2-uitstoot België <> BBP[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141277&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141277&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Bivariate Dataseries
Name of dataseries xBBP België
Source of xwww.gapminder.org
Description of xBBP België
Name of dataseries yCo2-Uitstoot België
Source of ywww.gapminder.org
Description of yCo2-uitstoot België <> BBP
Number of observations60



Parameters (Session):
par1 = 0 ; par2 = 36 ;
Parameters (R input):
par1 = BBP België ; par2 = www.gapminder.org ; par3 = BBP België ; par4 = Co2-Uitstoot België ; par5 = www.gapminder.org ; par6 = Co2-uitstoot België <> BBP ;
R code (references can be found in the software module):
bitmap(file='test1.png')
op <- par(mfrow=c(2,2))
plot(x,type='b',main='Plot of x',xlab=xlab,ylab=ylab)
plot(y,type='b',main='Plot of y',xlab=xlab,ylab=ylab)
hist(x)
hist(y)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bivariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries x',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of x',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of x',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries y',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of y',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of y',header=TRUE)
a<-table.element(a,par6)
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')