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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 16 Dec 2014 09:58:44 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/16/t14187240719rbvhnfnbreh698.htm/, Retrieved Thu, 16 May 2024 22:33:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269238, Retrieved Thu, 16 May 2024 22:33:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2014-12-16 09:58:44] [80e094d39007183c022472d38ca26b6f] [Current]
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Dataseries X:
0,94	0,56
0,53	0,66
0,75	0,75
0,63	0,59
0,78	0,75
0,63	0,59
0,84	0,53
0,56	0,63
0,88	0,66
0,66	0,66
0,84	0,66
0,69	0,50
0,88	0,84
0,78	0,47
0,66	0,66
0,69	0,56
0,88	0,69
0,63	0,63
0,91	0,53
0,63	0,66
0,63	0,72
0,72	0,56
0,56	0,69
0,56	0,75
0,59	0,84
0,78	0,63
0,78	0,84
0,78	0,63
0,75	0,63
0,59	0,66
0,81	0,81
0,31	0,78
0,53	0,56
0,41	0,66
0,53	0,50
0,94	0,78
0,13	0,63
0,50	0,84
0,66	0,63
0,69	0,56
0,63	0,81
0,69	0,56
0,72	0,50
0,50	0,56
0,00	0,66
0,56	0,56
0,78	0,78
0,56	0,63
0,56	0,72
0,75	0,69
0,91	0,31
0,47	0,56
0,69	0,78
0,72	0,72
0,75	0,69
0,69	0,72
0,47	0,59
0,53	0,44
0,63	0,81
0,84	0,53
0,81	0,47
0,72	0,66
0,72	0,63
0,47	0,69
0,81	0,63
0,69	0,81
0,56	0,81
0,47	0,63
0,69	0,75
0,84	0,63
0,31	0,47
0,63	0,78
0,53	0,63
0,72	0,84
0,59	0,63
0,41	0,53
0,84	0,69
0,72	0,75
0,50	0,69
0,78	0,50
0,06	0,69
0,81	0,72
0,63	0,59
0,69	0,63
0,75	0,47
0,72	0,69
0,69	0,38
0,66	0,47
0,78	0,84
0,84	0,75
0,72	0,56
0,72	0,56
0,56	0,78
0,56	0,38
0,72	0,59
0,59	0,69
0,47	0,53
0,63	0,72
0,50	0,72
0,78	0,88
0,78	0,91
0,59	0,66
0,59	0,75
0,50	0,63
0,59	0,22
0,59	0,59
0,72	0,88
0,66	0,81
0,69	0,59
0,59	0,63
0,63	0,72
0,09	0,75
0,72	0,50
0,44	0,59
0,72	0,75
0,63	0,66
0,47	0,50
0,41	0,50
0,50	0,66
0,22	0,88
0,75	0,50
0,53	0,72
0,75	0,81
0,75	0,91
0,59	0,56
0,88	0,59
0,72	0,59
0,59	0,50
0,72	0,50
0,78	0,50
0,78	0,56
0,63	0,69
0,50	0,44
0,63	0,63
0,78	0,47
0,78	0,69
0,72	0,50
0,53	0,47
0,63	0,34
0,50	0,47
0,72	0,63
0,38	0,66
0,75	0,50
0,34	0,53
0,44	0,47
0,72	0,50
0,56	0,56
0,91	0,78
0,50	0,63
0,59	0,75
0,50	0,88
0,72	0,69
0,59	0,63
0,13	0,84
0,63	0,53
0,63	0,69
0,13	0,72
0,75	0,69
0,50	0,41
0,09	0,59
0,75	0,47
0,72	0,63
0,53	0,75
0,63	0,56
0,69	0,59
0,59	0,47
0,75	0,63
0,59	0,41
0,84	0,72
0,69	0,75
0,72	0,72
	0,59
	0,63
	0,69
	0,78
	0,81
	0,75
	0,84
	0,50
	0,47
	0,44
	0,75
	0,50
	0,69
	0,41
	0,53
	0,72
	0,69
	0,72
	0,81
	0,44
	0,75
	0,66
	0,50
	0,34
	0,59
	0,50
	0,59
	0,50
	0,34
	0,72
	0,84
	0,72
	0,78
	0,75
	0,69
	0,81
	0,59
	0,59
	0,59
	0,63
	0,50
	0,69
	0,66
	0,81
	0,72
	0,66
	0,69
	0,81
	0,84




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269238&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269238&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269238&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' @ jenkins.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
20120.310.560.660.750.94
20140.310.560.630.7350.94

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
2012 & 0.31 & 0.56 & 0.66 & 0.75 & 0.94 \tabularnewline
2014 & 0.31 & 0.56 & 0.63 & 0.735 & 0.94 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269238&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]2012[/C][C]0.31[/C][C]0.56[/C][C]0.66[/C][C]0.75[/C][C]0.94[/C][/ROW]
[ROW][C]2014[/C][C]0.31[/C][C]0.56[/C][C]0.63[/C][C]0.735[/C][C]0.94[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269238&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269238&T=1

As an alternative you can also use a QR Code:  

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

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
20120.310.560.660.750.94
20140.310.560.630.7350.94







Boxplot Notches
Variablelower boundmedianupper bound
20120.6397605201288540.660.680239479871147
20140.6113583738028910.630.648641626197109

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
2012 & 0.639760520128854 & 0.66 & 0.680239479871147 \tabularnewline
2014 & 0.611358373802891 & 0.63 & 0.648641626197109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269238&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]2012[/C][C]0.639760520128854[/C][C]0.66[/C][C]0.680239479871147[/C][/ROW]
[ROW][C]2014[/C][C]0.611358373802891[/C][C]0.63[/C][C]0.648641626197109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269238&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269238&T=2

As an alternative you can also use a QR Code:  

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

Boxplot Notches
Variablelower boundmedianupper bound
20120.6397605201288540.660.680239479871147
20140.6113583738028910.630.648641626197109



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')