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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

Thu, 30 Oct 2008 17:32:16 -0600

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/Oct/31/t12254097846kss3791xeplsvb.htm/, Retrieved Sat, 18 May 2024 14:45:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20186, Retrieved Sat, 18 May 2024 14:45:31 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

190

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   PD  [Notched Boxplots] [Task 2 Boxplot 4 ...] [2008-10-30 22:25:27] [aa5573c1db401b164e448aef050955a1]
F R         [Notched Boxplots] [Task 3 Logaritme] [2008-10-30 23:32:16] [8a1195ff8db4df756ce44b463a631c76] [Current]

Feedback Forum

2008-11-08 12:38:10 [Stéphanie Claes] [reply] 
We vinden hier een correcte berekening terug maar de student verklaart dit niet. Logaritme gaat ervoor zorgen dat de grote getallen veel kleiner worden, de grote schommelingen in de dataset worden afgevlakt. De kleine schommelingen worden dan iets groter. De outliers komen veel dichter naar het gemiddelde in de dataset. Je gaat dus de spreiding verkleinen.

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Dataseries X:

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Histogram

Boxplots

110.4	109.2	99.9	72.5
96.4	88.6	99.8	59.4
101.9	94.3	99.8	85.7
106.2	98.3	100.3	88.2
81	86.4	99.9	62.8
94.7	80.6	99.9	87
101	104.1	100	79.2
109.4	108.2	100.1	112
102.3	93.4	100.1	79.2
90.7	71.9	100.2	132.1
96.2	94.1	100.3	40.1
96.1	94.9	100.6	69
106	96.4	100	59.4
103.1	91.1	100.1	73.8
102	84.4	100.2	57.4
104.7	86.4	100	81.1
86	88	100.1	46.6
92.1	75.1	100.1	41.4
106.9	109.7	100.1	71.2
112.6	103	100.5	67.9
101.7	82.1	100.5	72
92	68	100.5	145.5
97.4	96.4	96.3	39.7
97	94.3	96.3	51.9
105.4	90	96.8	73.7
102.7	88	96.8	70.9
98.1	76.1	96.9	60.8
104.5	82.5	96.8	61
87.4	81.4	96.8	54.5
89.9	66.5	96.8	39.1
109.8	97.2	96.8	66.6
111.7	94.1	97	58.5
98.6	80.7	97	59.8
96.9	70.5	97	80.9
95.1	87.8	96.8	37.3
97	89.5	96.9	44.6
112.7	99.6	97.2	48.7
102.9	84.2	97.3	54
97.4	75.1	97.3	49.5
111.4	92	97.2	61.6
87.4	80.8	97.3	35
96.8	73.1	97.3	35.7
114.1	99.8	97.3	51.3
110.3	90	97.3	49
103.9	83.1	97.3	41.5
101.6	72.4	97.3	72.5
94.6	78.8	98.1	42.1
95.9	87.3	96.8	44.1
104.7	91	96.8	45.1
102.8	80.1	96.8	50.3
98.1	73.6	96.8	40.9
113.9	86.4	96.8	47.2
80.9	74.5	96.8	36.9
95.7	71.2	96.8	40.9
113.2	92.4	96.8	38.3
105.9	81.5	96.8	46.3
108.8	85.3	96.8	28.4
102.3	69.9	96.8	78.4
99	84.2	96.9	36.8
100.7	90.7	97.1	50.7
115.5	100.3	97.1	42.8

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	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20186&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20186&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20186&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	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Totaalproductie	4.45434729625351	4.56642935767166	4.62202730305451	4.66343909411207	4.74927052996185
Kledijproductie	4.19720194766181	4.38949864951258	4.46935046284556	4.54435804659133	4.69774936728118
Afzetprijzen	4.56746831880408	4.57264699428253	4.57779898919196	4.60517018598809	4.61115225766564
Investeringen	3.34638914516716	3.75653810258775	3.9982007016692	4.27666611901606	4.98017608661155

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Totaalproductie & 4.45434729625351 & 4.56642935767166 & 4.62202730305451 & 4.66343909411207 & 4.74927052996185 \tabularnewline
Kledijproductie & 4.19720194766181 & 4.38949864951258 & 4.46935046284556 & 4.54435804659133 & 4.69774936728118 \tabularnewline
Afzetprijzen & 4.56746831880408 & 4.57264699428253 & 4.57779898919196 & 4.60517018598809 & 4.61115225766564 \tabularnewline
Investeringen & 3.34638914516716 & 3.75653810258775 & 3.9982007016692 & 4.27666611901606 & 4.98017608661155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20186&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]Totaalproductie[/C][C]4.45434729625351[/C][C]4.56642935767166[/C][C]4.62202730305451[/C][C]4.66343909411207[/C][C]4.74927052996185[/C][/ROW]
[ROW][C]Kledijproductie[/C][C]4.19720194766181[/C][C]4.38949864951258[/C][C]4.46935046284556[/C][C]4.54435804659133[/C][C]4.69774936728118[/C][/ROW]
[ROW][C]Afzetprijzen[/C][C]4.56746831880408[/C][C]4.57264699428253[/C][C]4.57779898919196[/C][C]4.60517018598809[/C][C]4.61115225766564[/C][/ROW]
[ROW][C]Investeringen[/C][C]3.34638914516716[/C][C]3.75653810258775[/C][C]3.9982007016692[/C][C]4.27666611901606[/C][C]4.98017608661155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20186&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20186&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
Totaalproductie	4.45434729625351	4.56642935767166	4.62202730305451	4.66343909411207	4.74927052996185
Kledijproductie	4.19720194766181	4.38949864951258	4.46935046284556	4.54435804659133	4.69774936728118
Afzetprijzen	4.56746831880408	4.57264699428253	4.57779898919196	4.60517018598809	4.61115225766564
Investeringen	3.34638914516716	3.75653810258775	3.9982007016692	4.27666611901606	4.98017608661155

Boxplot Notches
Variable	lower bound	median	upper bound
Totaalproductie	4.60240240117095	4.62202730305451	4.64165220493808
Kledijproductie	4.43802267467776	4.46935046284556	4.50067825101336
Afzetprijzen	4.57121960376548	4.57779898919196	4.58437837461843
Investeringen	3.89297970361432	3.9982007016692	4.10342169972408

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Totaalproductie & 4.60240240117095 & 4.62202730305451 & 4.64165220493808 \tabularnewline
Kledijproductie & 4.43802267467776 & 4.46935046284556 & 4.50067825101336 \tabularnewline
Afzetprijzen & 4.57121960376548 & 4.57779898919196 & 4.58437837461843 \tabularnewline
Investeringen & 3.89297970361432 & 3.9982007016692 & 4.10342169972408 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20186&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]Totaalproductie[/C][C]4.60240240117095[/C][C]4.62202730305451[/C][C]4.64165220493808[/C][/ROW]
[ROW][C]Kledijproductie[/C][C]4.43802267467776[/C][C]4.46935046284556[/C][C]4.50067825101336[/C][/ROW]
[ROW][C]Afzetprijzen[/C][C]4.57121960376548[/C][C]4.57779898919196[/C][C]4.58437837461843[/C][/ROW]
[ROW][C]Investeringen[/C][C]3.89297970361432[/C][C]3.9982007016692[/C][C]4.10342169972408[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20186&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20186&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
Totaalproductie	4.60240240117095	4.62202730305451	4.64165220493808
Kledijproductie	4.43802267467776	4.46935046284556	4.50067825101336
Afzetprijzen	4.57121960376548	4.57779898919196	4.58437837461843
Investeringen	3.89297970361432	3.9982007016692	4.10342169972408

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 500 ;

Parameters (R input):

par1 = grey ;

R code (references can be found in the software module):

z <- as.data.frame(t(y))
z<-log(z)
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