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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 16:25:27 -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/30/t1225405612mnrw8g9zmynxpdl.htm/, Retrieved Sun, 19 May 2024 13:53:40 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20185, Retrieved Sun, 19 May 2024 13:53:40 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

177

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] [8a1195ff8db4df756ce44b463a631c76] [Current]
F R         [Notched Boxplots] [Task 3 Logaritme] [2008-10-30 23:32:16] [aa5573c1db401b164e448aef050955a1] 

Feedback Forum

2008-11-08 12:32:22 [Stéphanie Claes] [reply] 
Investeringen liggen met het betrouwbaarheidsinterval lager dan de rest, en hebben dus inderdaad het meeste verval gekend. Je mag hier niet kijken naar de spreiding, daar gaat het niet om, we moeten naar de mediaan kijken. Zie ook tabel (daar zien we dat de mediaan het laagst ligt bij investeringen). Als we daar ook kijken naar de lower en upper bound dan zien we dat de upper bound van investeringen lager is dan de lower bound van alle anderen.

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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	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=20185&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=20185&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20185&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
Totaalproductie	86	96.2	101.7	106	115.5
Kledijproductie	66.5	80.6	87.3	94.1	109.7
Afzetprijzen	96.3	96.8	97.3	100	100.6
Investeringen	28.4	42.8	54.5	72	112

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Totaalproductie & 86 & 96.2 & 101.7 & 106 & 115.5 \tabularnewline
Kledijproductie & 66.5 & 80.6 & 87.3 & 94.1 & 109.7 \tabularnewline
Afzetprijzen & 96.3 & 96.8 & 97.3 & 100 & 100.6 \tabularnewline
Investeringen & 28.4 & 42.8 & 54.5 & 72 & 112 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20185&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]86[/C][C]96.2[/C][C]101.7[/C][C]106[/C][C]115.5[/C][/ROW]
[ROW][C]Kledijproductie[/C][C]66.5[/C][C]80.6[/C][C]87.3[/C][C]94.1[/C][C]109.7[/C][/ROW]
[ROW][C]Afzetprijzen[/C][C]96.3[/C][C]96.8[/C][C]97.3[/C][C]100[/C][C]100.6[/C][/ROW]
[ROW][C]Investeringen[/C][C]28.4[/C][C]42.8[/C][C]54.5[/C][C]72[/C][C]112[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20185&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20185&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	86	96.2	101.7	106	115.5
Kledijproductie	66.5	80.6	87.3	94.1	109.7
Afzetprijzen	96.3	96.8	97.3	100	100.6
Investeringen	28.4	42.8	54.5	72	112

Boxplot Notches
Variable	lower bound	median	upper bound
Totaalproductie	99.717476951119	101.7	103.682523048881
Kledijproductie	84.5689733510313	87.3	90.0310266489687
Afzetprijzen	96.6526455350593	97.3	97.9473544649407
Investeringen	48.5928905074159	54.5	60.4071094925841

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Totaalproductie & 99.717476951119 & 101.7 & 103.682523048881 \tabularnewline
Kledijproductie & 84.5689733510313 & 87.3 & 90.0310266489687 \tabularnewline
Afzetprijzen & 96.6526455350593 & 97.3 & 97.9473544649407 \tabularnewline
Investeringen & 48.5928905074159 & 54.5 & 60.4071094925841 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20185&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]99.717476951119[/C][C]101.7[/C][C]103.682523048881[/C][/ROW]
[ROW][C]Kledijproductie[/C][C]84.5689733510313[/C][C]87.3[/C][C]90.0310266489687[/C][/ROW]
[ROW][C]Afzetprijzen[/C][C]96.6526455350593[/C][C]97.3[/C][C]97.9473544649407[/C][/ROW]
[ROW][C]Investeringen[/C][C]48.5928905074159[/C][C]54.5[/C][C]60.4071094925841[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20185&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20185&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	99.717476951119	101.7	103.682523048881
Kledijproductie	84.5689733510313	87.3	90.0310266489687
Afzetprijzen	96.6526455350593	97.3	97.9473544649407
Investeringen	48.5928905074159	54.5	60.4071094925841

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))
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