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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 computationFri, 13 Nov 2009 14:53:35 -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/Nov/13/t1258149264zlsyn9zus29fi9e.htm/, Retrieved Sun, 05 May 2024 15:23:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57152, Retrieved Sun, 05 May 2024 15:23:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
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] [WS6 - Boxplot] [2009-11-13 21:53:35] [82f421ff86a0429b20e3ed68bd89f1bd] [Current]
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Dataseries X:
370,58	7,55	42,97	0,8
370,58	7,55	42,98	0,8
370,22	7,59	43,01	0,8
370,21	7,59	43,09	0,8
370,29	7,59	43,14	0,8
370,29	7,57	43,39	0,8
370,2	7,57	43,46	0,8
370,2	7,59	43,54	0,8
372,55	7,6	43,62	0,81
374,51	7,64	44,01	0,81
375,58	7,64	44,5	0,81
375,75	7,76	44,73	0,81
375,75	7,76	44,89	0,81
375,75	7,76	45,09	0,81
375,69	7,77	45,17	0,81
375,76	7,83	45,24	0,81
377,5	7,94	45,42	0,81
377,51	7,94	45,67	0,81
377,74	7,94	45,68	0,81
369,82	8,09	46,56	0,81
373,1	8,18	46,72	0,82
374,55	8,26	47,01	0,82
375,01	8,28	47,26	0,82
374,81	8,28	47,49	0,82
375,31	8,28	47,51	0,82
375,31	8,29	47,52	0,82
375,39	8,3	47,66	0,82
375,59	8,3	47,71	0,82
376,26	8,31	47,87	0,82
377,18	8,33	48	0,82
377,26	8,33	48	0,82
377,26	8,34	48,05	0,82
381,87	8,48	48,25	0,89
387,09	8,59	48,72	0,89
387,14	8,67	48,94	0,89
388,78	8,67	49,16	0,89
389,16	8,67	49,18	0,89
389,16	8,71	49,25	0,89
389,42	8,72	49,34	0,89
389,49	8,72	49,49	0,89
388,97	8,72	49,57	0,89
388,97	8,74	49,63	0,89
389,09	8,74	49,67	0,89
389,09	8,74	49,7	0,89
391,76	8,74	49,8	0,91
390,96	8,79	50,09	0,91
391,76	8,85	50,49	0,91
392,8	8,86	50,73	0,91
393,06	8,87	51,12	0,91
393,06	8,92	51,15	0,93
393,26	8,96	51,41	0,93
393,87	8,97	51,61	0,93
394,47	8,99	52,06	0,93
394,57	8,98	52,17	0,93
394,57	8,98	52,18	0,93
394,57	9,01	52,19	0,93
399,57	9,01	52,74	0,95
406,13	9,03	53,05	0,95
407,03	9,05	53,38	0,95
409,46	9,05	53,78	0,95




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=57152&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=57152&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57152&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
Fiets369.82375.16377.505391.36409.46
Taxi7.557.88.338.7659.05
Gar42.9745.2054849.94553.78
Bus0.80.810.820.910.95

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Fiets & 369.82 & 375.16 & 377.505 & 391.36 & 409.46 \tabularnewline
Taxi & 7.55 & 7.8 & 8.33 & 8.765 & 9.05 \tabularnewline
Gar & 42.97 & 45.205 & 48 & 49.945 & 53.78 \tabularnewline
Bus & 0.8 & 0.81 & 0.82 & 0.91 & 0.95 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57152&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]Fiets[/C][C]369.82[/C][C]375.16[/C][C]377.505[/C][C]391.36[/C][C]409.46[/C][/ROW]
[ROW][C]Taxi[/C][C]7.55[/C][C]7.8[/C][C]8.33[/C][C]8.765[/C][C]9.05[/C][/ROW]
[ROW][C]Gar[/C][C]42.97[/C][C]45.205[/C][C]48[/C][C]49.945[/C][C]53.78[/C][/ROW]
[ROW][C]Bus[/C][C]0.8[/C][C]0.81[/C][C]0.82[/C][C]0.91[/C][C]0.95[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57152&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57152&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
Fiets369.82375.16377.505391.36409.46
Taxi7.557.88.338.7659.05
Gar42.9745.2054849.94553.78
Bus0.80.810.820.910.95







Boxplot Notches
Variablelower boundmedianupper bound
Fiets374.200570609016377.505380.809429390984
Taxi8.133162076401258.338.52683792359875
Gar47.03314843745284848.9668515625472
Bus0.7996022877099740.820.840397712290026

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Fiets & 374.200570609016 & 377.505 & 380.809429390984 \tabularnewline
Taxi & 8.13316207640125 & 8.33 & 8.52683792359875 \tabularnewline
Gar & 47.0331484374528 & 48 & 48.9668515625472 \tabularnewline
Bus & 0.799602287709974 & 0.82 & 0.840397712290026 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57152&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]Fiets[/C][C]374.200570609016[/C][C]377.505[/C][C]380.809429390984[/C][/ROW]
[ROW][C]Taxi[/C][C]8.13316207640125[/C][C]8.33[/C][C]8.52683792359875[/C][/ROW]
[ROW][C]Gar[/C][C]47.0331484374528[/C][C]48[/C][C]48.9668515625472[/C][/ROW]
[ROW][C]Bus[/C][C]0.799602287709974[/C][C]0.82[/C][C]0.840397712290026[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57152&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57152&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
Fiets374.200570609016377.505380.809429390984
Taxi8.133162076401258.338.52683792359875
Gar47.03314843745284848.9668515625472
Bus0.7996022877099740.820.840397712290026



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')