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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationMon, 03 Nov 2008 12:11:22 -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/2008/Nov/03/t1225739659m2fd7s72hfr9gwl.htm/, Retrieved Sun, 19 May 2024 08:12:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21017, Retrieved Sun, 19 May 2024 08:12:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190

Tree of Dependent Computations

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] [Q1] [2008-11-03 19:11:22] [5e2b1e7aa808f9f0d23fd35605d4968f] [Current]
F    D      [Notched Boxplots] [Task 2] [2008-11-03 20:47:14] [299afd6311e4c20059ea2f05c8dd029d]
F R  D        [Notched Boxplots] [Task 3] [2008-11-03 21:02:39] [299afd6311e4c20059ea2f05c8dd029d]
Feedback Forum
2008-11-09 13:39:01 [Tim Loyens] [reply] 
Wat we nog kunnen opmerken uit de berekening van de box plot is dat de waarden significant! verschillen. De inkepingen in de boxplots stellen het betrouwbaarheidsinterval voor. Wanneer we de grenzen van de inkeping doortrekken is het duidelijk dat deze elkaar niet overlappen. De waarden zijn dus significant verschillend van elkaar. Bovendien kunnen we opmerken dat de kledingtrend dalend is omdat, tegenover het basisjaar, de mediaan onder de 100 ligt. Totale productie is bijgevolg licht gestegen.
2008-11-11 09:42:13 [Jeroen Michel] [reply] 
Je conclusie mag nog uitgebreider zijn. Je bevestigt enkel de waarnemingen van de student van vorig jaar.

Bij deze berekening wordt een correcte grafiek weergegeven. Bij x2 (kledij) is er inderdaad een daling tov. het jaar dat als basis geldt. De industriële productie daarentegen is wel lichtjes gestegen tov. het basisjaar.

Net zoals 1 van de vorige studenten zegt is het van belang te vermelden dat de mediaan significant lager ligt dan de mediaan van de totale productie.
2008-11-11 16:37:33 [Lindsay Heyndrickx] [reply] 
Hier moet je kijken naar de inkepingen (notches) van de boxpots. De inkepingen zijn de betrouwbaarheidsintervallen. Als deze nog steeds onder die van de totale productie liggen kunnen we zeggen dat de totale productie significant hoger ligt dan de kledingproductie.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.40	109.20
96.40	 88.60
101.90	94.30
106.20	98.30
81.00	 86.40
94.70 	80.60
101.00	104.10
109.40	108.20
102.30	93.40
90.70	 71.90
96.20	 94.10
96.10 	94.90
106.00	96.40
103.10	91.10
102.00	84.40
104.70	86.40
86.00	 88.00
92.10	 75.10
106.90	109.70
112.60	103.00
101.70	82.10
92.00	 68.00
97.40	 96.40
97.00	 94.30
105.40	90.00
102.70	88.00
98.10	 76.10
104.50	82.50
87.40	 81.40
89.90	 66.50
109.80	97.20
111.70	94.10
98.60	 80.70
96.90	 70.50
95.10	 87.80
97.00	 89.50
112.70	99.60
102.90	84.20
97.40 	75.10
111.40	92.00
87.40 	80.80
96.80	 73.10
114.10	99.80
110.30	90.00
103.90	83.10
101.60	72.40
94.60	 78.80
95.90	 87.30
104.70	91.00
102.80	80.10
98.10	 73.60
113.90	86.40
80.90	 74.50
95.70	 71.20
113.20	92.40
105.90	81.50
108.80	85.30
102.30	69.90
99.00	 84.20
100.70	90.70
115.50	100.30

Tables (Output of Computation)





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=21017&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=21017&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21017&T=0

As an alternative you can also use a QR Code:  
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
X18696.2101.7106115.5
X266.580.687.394.1109.7

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
X1 & 86 & 96.2 & 101.7 & 106 & 115.5 \tabularnewline
X2 & 66.5 & 80.6 & 87.3 & 94.1 & 109.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21017&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]X1[/C][C]86[/C][C]96.2[/C][C]101.7[/C][C]106[/C][C]115.5[/C][/ROW]
[ROW][C]X2[/C][C]66.5[/C][C]80.6[/C][C]87.3[/C][C]94.1[/C][C]109.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21017&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21017&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
X18696.2101.7106115.5
X266.580.687.394.1109.7






Boxplot Notches
Variablelower boundmedianupper bound
X199.717476951119101.7103.682523048881
X284.568973351031387.390.0310266489687

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
X1 & 99.717476951119 & 101.7 & 103.682523048881 \tabularnewline
X2 & 84.5689733510313 & 87.3 & 90.0310266489687 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21017&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]X1[/C][C]99.717476951119[/C][C]101.7[/C][C]103.682523048881[/C][/ROW]
[ROW][C]X2[/C][C]84.5689733510313[/C][C]87.3[/C][C]90.0310266489687[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21017&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21017&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
X199.717476951119101.7103.682523048881
X284.568973351031387.390.0310266489687


Figures (Output of Computation)

Input Parameters & R Code

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')