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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Wed, 11 Nov 2009 08:15:11 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/11/t1257952576lbz9gei9pzsnwty.htm/, Retrieved Sat, 20 Apr 2024 05:10:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55672, Retrieved Sat, 20 Apr 2024 05:10:16 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

195

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Notched Boxplots] [SHW WS6 - Notched...] [2009-11-03 12:05:37] [253127ae8da904b75450fbd69fe4eb21]
F    D    [Notched Boxplots] [Worskshop 6] [2009-11-11 15:15:11] [aef022288383377281176d9807aba5bf] [Current]

Feedback Forum

2009-11-20 19:39:54 [St�phanie Van Dyck] [reply] 
De student gebruikt voor zijn notched boxplots 4 tijdreeksen, waarvan twee geïndexeerde. Dit mag niet, ofwel gebruik je allemaal indexen ofwel geen. Je kan ze niet met elkaar vergelijken.
2009-11-20 20:00:58 [St�phanie Van Dyck] [reply] 
De notched box plots laten toe uw reeksen allemaal tegelijk te bekijken. De middenste 50% van uw reeksen wordt verklaard door uw boxen, de overige 50% zijn onder en boven de box telkens 25% weergegeven door de lijnen. Eventuele outliers worden genoteerd door bolletjes, deze zijn hier dus niet aanwezig. De zwarte streep in het midden van elke box duid de mediaan aan.
2009-11-20 20:01:22 [St�phanie Van Dyck] [reply] 
De notched box plots laten toe uw reeksen allemaal tegelijk te bekijken. De middenste 50% van uw reeksen wordt verklaard door uw boxen, de overige 50% zijn onder en boven de box telkens 25% weergegeven door de lijnen. Eventuele outliers worden genoteerd door bolletjes, deze zijn hier dus niet aanwezig. De zwarte streep in het midden van elke box duid de mediaan aan.

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Dataseries X:

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Histogram

Boxplots

101	100.64	4.54	9
100.88	100.63	4.23	8.6
100.55	100.43	3.96	8.8
100.83	100.8	3.94	8.5
101.51	101.33	4.25	8.3
102.16	101.88	4.76	8.2
102.39	101.85	4.44	8
102.54	102.04	4.19	7.9
102.85	102.22	4.55	8
103.47	102.63	4.82	9.3
103.57	102.65	4.80	9.6
103.69	102.54	4.84	9
103.5	102.37	4.16	8.7
103.47	102.68	4.25	8.3
103.45	102.76	4.56	8.4
103.48	102.82	4.31	7.8
103.93	103.31	4.06	7.8
103.89	103.23	3.37	7.6
104.4	103.6	3.64	7.7
104.79	103.95	3.87	7.6
104.77	103.93	3.55	7.6
105.13	104.25	3.28	8.6
105.26	104.38	3.31	8.6
104.96	104.36	2.90	8.2
104.75	104.32	2.89	7.5
105.01	104.58	3.17	7.1
105.15	104.68	3.32	7
105.2	104.92	3.34	6.9
105.77	105.46	3.45	6.6
105.78	105.23	3.50	6.3
106.26	105.58	3.46	6.1
106.13	105.34	2.96	5.9
106.12	105.28	2.97	6
106.57	105.7	3.05	7.2
106.44	105.67	2.80	7.2
106.54	105.71	3.19	6.4
107.1	106.19	3.92	6.1
108.1	106.93	4.62	5.9
108.4	107.44	4.77	6.1
108.84	107.85	5.14	5.9
109.62	108.71	5.32	5.8
110.42	109.32	6.07	5.7
110.67	109.49	5.83	5.6
111.66	110.2	6.89	5.3
112.28	110.62	7.48	5.5
112.87	111.22	7.59	6.5
112.18	110.88	7.07	6.5
112.36	111.15	7.14	6.1
112.16	111.29	6.40	5.9
111.49	111.09	4.82	5.8
111.25	111.24	4.31	6.2
111.36	111.45	4.00	6.5
111.74	111.75	3.61	6.6
111.1	111.07	2.30	6.7
111.33	111.17	2.28	6.6
111.25	110.96	1.31	6.5
111.04	110.5	0.58	6.8
110.97	110.48	0.00	7.8
111.31	110.66	0.90	7.9
111.02	110.46	0.49	7.4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=55672&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=55672&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55672&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Cons	100.55	103.63	105.95	111.03	112.87
Gezond	100.43	102.79	105.31	110.47	111.75
Infl	1.31	3.235	3.98	4.765	6.89
Werk	5.3	6.15	7.15	8.1	9.6

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Cons & 100.55 & 103.63 & 105.95 & 111.03 & 112.87 \tabularnewline
Gezond & 100.43 & 102.79 & 105.31 & 110.47 & 111.75 \tabularnewline
Infl & 1.31 & 3.235 & 3.98 & 4.765 & 6.89 \tabularnewline
Werk & 5.3 & 6.15 & 7.15 & 8.1 & 9.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55672&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]Cons[/C][C]100.55[/C][C]103.63[/C][C]105.95[/C][C]111.03[/C][C]112.87[/C][/ROW]
[ROW][C]Gezond[/C][C]100.43[/C][C]102.79[/C][C]105.31[/C][C]110.47[/C][C]111.75[/C][/ROW]
[ROW][C]Infl[/C][C]1.31[/C][C]3.235[/C][C]3.98[/C][C]4.765[/C][C]6.89[/C][/ROW]
[ROW][C]Werk[/C][C]5.3[/C][C]6.15[/C][C]7.15[/C][C]8.1[/C][C]9.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55672&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55672&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Cons	100.55	103.63	105.95	111.03	112.87
Gezond	100.43	102.79	105.31	110.47	111.75
Infl	1.31	3.235	3.98	4.765	6.89
Werk	5.3	6.15	7.15	8.1	9.6

Boxplot Notches
Variable	lower bound	median	upper bound
Cons	104.440569290538	105.95	107.459430709462
Gezond	103.743455696126	105.31	106.876544303874
Infl	3.66791500196261	3.98	4.29208499803739
Werk	6.7522446103445	7.15	7.5477553896555

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Cons & 104.440569290538 & 105.95 & 107.459430709462 \tabularnewline
Gezond & 103.743455696126 & 105.31 & 106.876544303874 \tabularnewline
Infl & 3.66791500196261 & 3.98 & 4.29208499803739 \tabularnewline
Werk & 6.7522446103445 & 7.15 & 7.5477553896555 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55672&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]Cons[/C][C]104.440569290538[/C][C]105.95[/C][C]107.459430709462[/C][/ROW]
[ROW][C]Gezond[/C][C]103.743455696126[/C][C]105.31[/C][C]106.876544303874[/C][/ROW]
[ROW][C]Infl[/C][C]3.66791500196261[/C][C]3.98[/C][C]4.29208499803739[/C][/ROW]
[ROW][C]Werk[/C][C]6.7522446103445[/C][C]7.15[/C][C]7.5477553896555[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55672&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55672&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
Variable	lower bound	median	upper bound
Cons	104.440569290538	105.95	107.459430709462
Gezond	103.743455696126	105.31	106.876544303874
Infl	3.66791500196261	3.98	4.29208499803739
Werk	6.7522446103445	7.15	7.5477553896555

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code