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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, 05 Nov 2008 12:35:42 -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/2008/Nov/05/t12259138573ict1ozsih4l551.htm/, Retrieved Tue, 28 May 2024 01:05:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21912, Retrieved Tue, 28 May 2024 01:05:49 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

152

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

F     [Notched Boxplots] [workshop 3] [2007-10-26 13:31:48] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F    D  [Notched Boxplots] [Part 1 ;task2] [2008-11-05 19:17:49] [3a9fc6d5b5e0e816787b7dbace57e7cd]
F R  D      [Notched Boxplots] [Part1 ;Task3] [2008-11-05 19:35:42] [821c4b3d195be8e737cf8c9dc649d3cf] [Current]

Feedback Forum

2008-11-10 17:57:26 [Gert-Jan Geudens] [reply] 
Het gevraagde antwoord op deze vraag is niet gegeven. 
Volgende dingen moeten aan de conclusie worden toegevoegd : 
Het effect van de outliers wordt door de logaritmen sterk verminderd. De grote getallen worden verkleind, en de kleine getallen worden uitgerokken. 
 
Ook de boxplots van de student zijn niet helemaal correct (net zoals in TASK2) 
 
Hier is de correcte oplossing: 
www.freestatistics.org/blog/date/2008/Nov/10/t1226320621s8awu5mz8w49j24.htm 
Deze berekening is gebaseerd op de oorspronkelijke berekening van Van Dooren Leen 
 
Bereken uiteraard nooit logaritmen van negatieve getallen. Dit toon ik aan de hand van volgend voorbeeld: 
www.freestatistics.org/blog/date/2008/Nov/09/t1226232312ft3ti8mb4ycl89k.htm 
 
Nu zie je dat er voor de investeringen van de kleding helemaal geen boxplot meer is. Dit komt om dat voor al deze negatieve waarden, geen logaritmen bestaan en dus ook niet weergegeven kunnen worden. 
2008-11-10 17:59:42 [Gert-Jan Geudens] [reply] 
De berekening van het voorbeeld met de neg. getallen is gebaseerd op de oorspronkelijke berekening van student s0700938

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Dataseries X:

Download CSV

Histogram

Boxplots

110.40	109.20	99.90	72.50
96.40	88.60	99.80	59.40
101.90	94.30	99.80	85.70
106.20	98.30	100.30	88.20
81.00	86.40	99.90	62.80
94.70	80.60	99.90	87.00
101.00	104.10	100.00	79.20
109.40	108.20	100.10	112.00
102.30	93.40	100.10	79.20
90.70	71.90	100.20	132.10
96.20	94.10	100.30	40.10
96.10	94.90	100.60	69.00
106.00	96.40	100.00	59.40
103.10	91.10	100.10	73.80
102.00	84.40	100.20	57.40
104.70	86.40	100.00	81.10
86.00	88.00	100.10	46.60
92.10	75.10	100.10	41.40
106.90	109.70	100.10	71.20
112.60	103.00	100.50	67.90
101.70	82.10	100.50	72.00
92.00	68.00	100.50	145.50
97.40	96.40	96.30	39.70
97.00	94.30	96.30	51.90
105.40	90.00	96.80	73.70
102.70	88.00	96.80	70.90
98.10	76.10	96.90	60.80
104.50	82.50	96.80	61.00
87.40	81.40	96.80	54.50
89.90	66.50	96.80	39.10
109.80	97.20	96.80	66.60
111.70	94.10	97.00	58.50
98.60	80.70	97.00	59.80
96.90	70.50	97.00	80.90
95.10	87.80	96.80	37.30
97.00	89.50	96.90	44.60
112.70	99.60	97.20	48.70
102.90	84.20	97.30	54.00
97.40	75.10	97.30	49.50
111.40	92.00	97.20	61.60
87.40	80.80	97.30	35.00
96.80	73.10	97.30	35.70
114.10	99.80	97.30	51.30
110.30	90.00	97.30	49.00
103.90	83.10	97.30	41.50
101.60	72.40	97.30	72.50
94.60	78.80	98.10	42.10
95.90	87.30	96.80	44.10
104.70	91.00	96.80	45.10

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21912&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21912&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21912&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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Totaal	4.45434729625351	4.56538931597625	4.62104353514438	4.65776263610726	4.73707525686803
productie	4.19720194766181	4.39197696552705	4.47733681447821	4.54648118963941	4.69774936728118
afzetprijsindex	4.56746831880408	4.57367951889672	4.57779898919196	4.60616968632117	4.61115225766564
investeringen	3.55534806148941	3.8416005411316	4.09100566095659	4.28358656186063	4.88355921152828

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Totaal & 4.45434729625351 & 4.56538931597625 & 4.62104353514438 & 4.65776263610726 & 4.73707525686803 \tabularnewline
productie & 4.19720194766181 & 4.39197696552705 & 4.47733681447821 & 4.54648118963941 & 4.69774936728118 \tabularnewline
afzetprijsindex & 4.56746831880408 & 4.57367951889672 & 4.57779898919196 & 4.60616968632117 & 4.61115225766564 \tabularnewline
investeringen & 3.55534806148941 & 3.8416005411316 & 4.09100566095659 & 4.28358656186063 & 4.88355921152828 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21912&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]Totaal[/C][C]4.45434729625351[/C][C]4.56538931597625[/C][C]4.62104353514438[/C][C]4.65776263610726[/C][C]4.73707525686803[/C][/ROW]
[ROW][C]productie[/C][C]4.19720194766181[/C][C]4.39197696552705[/C][C]4.47733681447821[/C][C]4.54648118963941[/C][C]4.69774936728118[/C][/ROW]
[ROW][C]afzetprijsindex[/C][C]4.56746831880408[/C][C]4.57367951889672[/C][C]4.57779898919196[/C][C]4.60616968632117[/C][C]4.61115225766564[/C][/ROW]
[ROW][C]investeringen[/C][C]3.55534806148941[/C][C]3.8416005411316[/C][C]4.09100566095659[/C][C]4.28358656186063[/C][C]4.88355921152828[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21912&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21912&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
Totaal	4.45434729625351	4.56538931597625	4.62104353514438	4.65776263610726	4.73707525686803
productie	4.19720194766181	4.39197696552705	4.47733681447821	4.54648118963941	4.69774936728118
afzetprijsindex	4.56746831880408	4.57367951889672	4.57779898919196	4.60616968632117	4.61115225766564
investeringen	3.55534806148941	3.8416005411316	4.09100566095659	4.28358656186063	4.88355921152828

Boxplot Notches
Variable	lower bound	median	upper bound
Totaal	4.60019355717195	4.62104353514438	4.64189351311681
productie	4.44246300389285	4.47733681447821	4.51221062506357
afzetprijsindex	4.57046549425901	4.57779898919196	4.58513248412491
investeringen	3.99124310199203	4.09100566095659	4.19076821992114

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Totaal & 4.60019355717195 & 4.62104353514438 & 4.64189351311681 \tabularnewline
productie & 4.44246300389285 & 4.47733681447821 & 4.51221062506357 \tabularnewline
afzetprijsindex & 4.57046549425901 & 4.57779898919196 & 4.58513248412491 \tabularnewline
investeringen & 3.99124310199203 & 4.09100566095659 & 4.19076821992114 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21912&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]Totaal[/C][C]4.60019355717195[/C][C]4.62104353514438[/C][C]4.64189351311681[/C][/ROW]
[ROW][C]productie[/C][C]4.44246300389285[/C][C]4.47733681447821[/C][C]4.51221062506357[/C][/ROW]
[ROW][C]afzetprijsindex[/C][C]4.57046549425901[/C][C]4.57779898919196[/C][C]4.58513248412491[/C][/ROW]
[ROW][C]investeringen[/C][C]3.99124310199203[/C][C]4.09100566095659[/C][C]4.19076821992114[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21912&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21912&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
Totaal	4.60019355717195	4.62104353514438	4.64189351311681
productie	4.44246300389285	4.47733681447821	4.51221062506357
afzetprijsindex	4.57046549425901	4.57779898919196	4.58513248412491
investeringen	3.99124310199203	4.09100566095659	4.19076821992114

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(log(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