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Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 13 Nov 2009 08:50:16 -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/Nov/13/t12581274572g47m209ura8n3s.htm/, Retrieved Sun, 05 May 2024 19:37:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56842, Retrieved Sun, 05 May 2024 19:37:56 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
-    D    [Notched Boxplots] [Notched boxplots ws6] [2009-11-13 15:50:16] [85defb7a20869746625978e6577e6e44] [Current]
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Dataseries X:
1,00	1,00	1,00
1,02	1,03	1,04
1,10	1,06	1,00
1,10	1,01	0,88
1,10	1,17	1,17
1,08	1,26	1,42
1,12	1,37	1,63
1,03	1,36	1,77
1,00	1,56	2,15
1,02	1,49	2,03
0,97	1,45	1,92
1,00	1,39	1,73
1,02	1,38	1,66
0,95	1,34	1,71
0,97	1,38	1,79
0,97	1,39	1,85
1,00	1,38	1,81
1,00	1,40	1,92
1,03	1,42	1,66
1,05	1,39	1,76
1,08	1,39	1,65
1,09	1,39	1,63
1,11	1,37	1,48
1,14	1,38	1,65
1,17	1,37	1,55
1,26	1,40	1,48
1,20	1,45	1,57
1,21	1,46	1,60
1,23	1,48	1,68
1,24	1,47	1,78
1,29	1,49	1,72
1,33	1,49	1,70
1,33	1,42	1,38
1,33	1,45	1,62
1,35	1,42	1,67
1,37	1,35	1,36
1,35	1,32	1,35
1,37	1,24	1,07
1,38	1,18	0,99
1,36	1,12	0,88
1,39	1,14	0,82
1,43	1,14	0,70
1,42	1,13	0,74
1,43	1,12	0,81
1,42	1,13	0,85
1,45	1,10	0,65
1,46	1,11	0,63
1,52	1,13	0,73
1,49	1,16	0,90
1,54	1,19	1,25
1,55	1,27	1,23
1,55	1,31	0,68
1,58	1,34	0,92
1,54	1,34	1,31
1,53	1,33	1,40
1,60	1,32	1,41
1,51	1,33	1,29
1,55	1,33	1,18
1,50	1,34	1,25
1,53	1,32	1,36
1,51	1,29	1,52
1,55	1,31	1,82
1,51	1,31	1,37
1,51	1,25	1,13
1,52	1,22	1,55
1,45	1,25	1,38
1,41	1,26	1,59
1,41	1,25	1,86




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=56842&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=56842&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56842&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







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
sterftecijfer0.951.0851.341.4951.6
geboortecijfer11.2051.331.391.56
populatieaangroei0.631.0551.4151.6752.15

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
sterftecijfer & 0.95 & 1.085 & 1.34 & 1.495 & 1.6 \tabularnewline
geboortecijfer & 1 & 1.205 & 1.33 & 1.39 & 1.56 \tabularnewline
populatieaangroei & 0.63 & 1.055 & 1.415 & 1.675 & 2.15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56842&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]sterftecijfer[/C][C]0.95[/C][C]1.085[/C][C]1.34[/C][C]1.495[/C][C]1.6[/C][/ROW]
[ROW][C]geboortecijfer[/C][C]1[/C][C]1.205[/C][C]1.33[/C][C]1.39[/C][C]1.56[/C][/ROW]
[ROW][C]populatieaangroei[/C][C]0.63[/C][C]1.055[/C][C]1.415[/C][C]1.675[/C][C]2.15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56842&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56842&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
sterftecijfer0.951.0851.341.4951.6
geboortecijfer11.2051.331.391.56
populatieaangroei0.631.0551.4151.6752.15







Boxplot Notches
Variablelower boundmedianupper bound
sterftecijfer1.261442711050731.341.41855728894927
geboortecijfer1.294553418400941.331.36544658159906
populatieaangroei1.296206050857201.4151.53379394914280

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
sterftecijfer & 1.26144271105073 & 1.34 & 1.41855728894927 \tabularnewline
geboortecijfer & 1.29455341840094 & 1.33 & 1.36544658159906 \tabularnewline
populatieaangroei & 1.29620605085720 & 1.415 & 1.53379394914280 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56842&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]sterftecijfer[/C][C]1.26144271105073[/C][C]1.34[/C][C]1.41855728894927[/C][/ROW]
[ROW][C]geboortecijfer[/C][C]1.29455341840094[/C][C]1.33[/C][C]1.36544658159906[/C][/ROW]
[ROW][C]populatieaangroei[/C][C]1.29620605085720[/C][C]1.415[/C][C]1.53379394914280[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56842&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56842&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
sterftecijfer1.261442711050731.341.41855728894927
geboortecijfer1.294553418400941.331.36544658159906
populatieaangroei1.296206050857201.4151.53379394914280



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')