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Description of Statistical Computation

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, 02 Dec 2011 06:57:07 -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/Dec/02/t1322827067hxgz6okazhhc4wi.htm/, Retrieved Sun, 28 Apr 2024 20:44:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150138, Retrieved Sun, 28 Apr 2024 20:44:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Percentiles] [Percentiles of ti...] [2010-09-25 09:52:29] [b98453cac15ba1066b407e146608df68]
- RMP   [Harrell-Davis Quantiles] [120 seconds] [2011-10-04 07:18:16] [f381152ed5e87cd86e751bfc27f55bf8]
- RMP     [Mean versus Median] [D1 - Mean vs Median] [2011-12-02 11:51:03] [7e261c986c934df955dd3ac53e9d45c6]
- RMPD        [Bivariate Data Series] [D1 - Data Descrip...] [2011-12-02 11:57:07] [13dfa60174f50d862e8699db2153bfc5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
617
614
647
580
614
636
388
356
639
753
611
639
630
586
695
552
619
681
421
307
754
690
644
643
608
651
691
627
634
731
475
337
803
722
590
724
627
696
825
677
656
785
412
352
839
729
696
641
695
638
762
635
721
854
418
367
824
687
601
676
740
691
683
594
729
731
386
331
706
715
657
653
642
643
718
654
632
731
392
344
792
852
649
629
685
617
715
715
629
916
531
357
917
828
708
858
775
785
1006
789
734
906
532
387
991
841
892
782
811
792
978
773
796
946
594
438
1023
868
791
760
779
852
1001
734
996
869
599
426
1138
Dataseries Y:
Download CSV
Histogram 
6,3
6,2
6,3
6,5
6,6
6,4
6,2
6,3
6,6
7,1
7,2
7,3
7,3
7,3
7,4
7,3
7,4
7,4
7,6
7,6
7,7
7,7
7,8
7,8
8,0
8,1
8,1
8,2
8,1
8,1
8,1
8,0
8,2
8,4
8,4
8,5
8,6
8,5
8,3
7,8
7,8
8,0
8,6
8,9
8,9
8,6
8,3
8,3
8,3
8,4
8,5
8,4
8,6
8,5
8,5
8,5
8,5
8,5
8,5
8,5
8,5
8,6
8,6
8,6
8,6
8,4
8,0
7,9
8,0
8,0
8,0
8,0
7,9
7,9
7,9
8,0
7,9
7,5
7,2
7,0
6,9
7,1
7,1
7,2
7,1
6,9
6,8
6,7
6,7
6,9
7,3
7,4
7,3
7,1
7,0
7,1
7,5
7,7
7,8
7,7
7,7
7,8
8,0
8,1
8,1
8,0
8,1
8,2
8,3
8,4
8,5
8,5
8,5
8,5
8,5
8,3
8,2
8,1
7,9
7,6
7,3
7,1
7,0
7,0
7,0
7,0
6,9
6,8
6,7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150138&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150138&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150138&T=0

As an alternative you can also use a QR Code:  
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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Bivariate Dataseries
Name of dataseries xFaillissementen
Source of xstatbel
Description of x
Name of dataseries yWerkloosheidsgraad in %
Source of ybelgostat
Description of y
Number of observations129

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Faillissementen \tabularnewline
Source of x & statbel \tabularnewline
Description of x &  \tabularnewline
Name of dataseries y & Werkloosheidsgraad in % \tabularnewline
Source of y & belgostat \tabularnewline
Description of y &  \tabularnewline
Number of observations & 129 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150138&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Faillissementen[/C][/ROW]
[ROW][C]Source of x[/C][C]statbel[/C][/ROW]
[ROW][C]Description of x[/C][C][/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Werkloosheidsgraad in %[/C][/ROW]
[ROW][C]Source of y[/C][C]belgostat[/C][/ROW]
[ROW][C]Description of y[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]129[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150138&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150138&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Bivariate Dataseries
Name of dataseries xFaillissementen
Source of xstatbel
Description of x
Name of dataseries yWerkloosheidsgraad in %
Source of ybelgostat
Description of y
Number of observations129


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Faillissementen ; par2 = statbel ; par4 = Werkloosheidsgraad in % ; par5 = belgostat ;
Parameters (R input):
par1 = Faillissementen ; par2 = statbel ; par3 = ; par4 = Werkloosheidsgraad in % ; par5 = belgostat ; par6 = ;
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')