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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 computationFri, 11 Dec 2009 04:27:35 -0700
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/Dec/11/t12605308960e8ejk7d1kzh9d8.htm/, Retrieved Mon, 29 Apr 2024 05:32:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=66002, Retrieved Mon, 29 Apr 2024 05:32:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108
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] [ws6] [2009-12-11 11:27:35] [94ba0ef70f5b330d175ff4daa1c9cd40] [Current]
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Dataseries X:
100.00
99.97
101.03
101.00
101.30
101.43
101.49
102.14
102.58
102.34
102.07
101.83
102.14
102.58
102.63
102.74
103.32
103.27
102.48
102.14
102.07
101.69
101.15
100.90
101.77
101.93
102.27
102.49
102.80
102.82
102.83
102.89
102.87
102.67
102.96
103.22
103.53
104.63
104.63
104.17
103.93
104.01
104.16
105.22
105.85
106.21
105.77
105.63
106.49
107.51
110.43
111.42
111.58
111.34
111.08
111.66
112.36
112.31
111.52
110.87
111.13
112.71
113.25
113.09
112.55
112.87
113.59
115.14
116.38
116.50
116.25
116.73
Dataseries Y:
100.00
99.95
102.07
102.02
102.63
102.88
103.01
104.33
105.21
104.73
104.17
103.69
104.33
105.21
105.31
105.54
106.70
106.60
105.01
104.33
104.17
103.42
102.33
101.82
103.57
103.90
104.58
105.03
105.67
105.69
105.72
105.84
105.79
105.39
105.97
106.50
107.13
109.36
109.36
108.42
107.94
108.10
108.40
110.55
111.81
112.55
111.66
111.38
113.10
115.18
121.07
123.07
123.40
122.92
122.39
123.55
124.97
124.87
123.27
121.96
122.49
125.68
126.76
126.44
125.35
126.01
127.45
130.58
133.09
133.34
132.84
133.80




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=66002&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=66002&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66002&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' @ 72.249.127.135







Bivariate Dataseries
Name of dataseries xVertrouwensindicator
Source of xbelgostat
Description of xvertrouwensindicator indexjaar januari 2000
Name of dataseries ybouwnijverheid
Source of ybelgostat
Description of yaantal contracten geindexeerd naar januari 2000
Number of observations72

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Vertrouwensindicator \tabularnewline
Source of x & belgostat \tabularnewline
Description of x & vertrouwensindicator indexjaar januari 2000 \tabularnewline
Name of dataseries y & bouwnijverheid \tabularnewline
Source of y & belgostat \tabularnewline
Description of y & aantal contracten geindexeerd naar januari 2000 \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=66002&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Vertrouwensindicator[/C][/ROW]
[ROW][C]Source of x[/C][C]belgostat[/C][/ROW]
[ROW][C]Description of x[/C][C]vertrouwensindicator indexjaar januari 2000[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]bouwnijverheid[/C][/ROW]
[ROW][C]Source of y[/C][C]belgostat[/C][/ROW]
[ROW][C]Description of y[/C][C]aantal contracten geindexeerd naar januari 2000[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=66002&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66002&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 xVertrouwensindicator
Source of xbelgostat
Description of xvertrouwensindicator indexjaar januari 2000
Name of dataseries ybouwnijverheid
Source of ybelgostat
Description of yaantal contracten geindexeerd naar januari 2000
Number of observations72



Parameters (Session):
par1 = Vertrouwensindicator ; par2 = belgostat ; par3 = vertrouwensindicator indexjaar januari 2000 ; par4 = bouwnijverheid ; par5 = belgostat ; par6 = aantal contracten geindexeerd naar januari 2000 ;
Parameters (R input):
par1 = Vertrouwensindicator ; par2 = belgostat ; par3 = vertrouwensindicator indexjaar januari 2000 ; par4 = bouwnijverheid ; par5 = belgostat ; par6 = aantal contracten geindexeerd naar januari 2000 ;
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')