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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 29 Oct 2008 09:39:02 -0600
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/Oct/29/t1225295002i2yw7rzfjai79oq.htm/, Retrieved Tue, 14 May 2024 18:00:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19888, Retrieved Tue, 14 May 2024 18:00:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217

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] [Mediaan kledij < ...] [2008-10-29 13:57:22] [495cd80c1a9baafb03c09cd9ab8d8fb5]
F   PD      [Notched Boxplots] [Mediaan afzetprij...] [2008-10-29 15:39:02] [46e0445318a71ab85f6f82e54c656dac] [Current]
Feedback Forum
2008-11-06 16:44:10 [Bas van Keken] [reply] 
'unverified author'

Voor taak 2 had u alle 4 de kolommen in kunnen voeren. Dan had u in een opslag kunnen zien wat u in 4 computaties heeft gedaan. Op zich kan dat, maar daarna moet u dan wel de afzonderlijke mediaangetallen met elkaar vergelijken alsmede de betrouwbaarheidsintervallen kunnen zien. Daaruit is op te maken dat de mediaan van investeringen met een grote zekerheid lager ligt dan de rest. Zie onderstaande link als voorbeeld (computatie uitgevoerd door student Gert de la Haye, 06 Nov 2008):
http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/31/t1225472380dzebxr0xcnr5330.htm/
2008-11-11 19:52:02 [An De Koninck] [reply] 
Ik had beter de 4 tijdsreeksen in 1 keer ingevoegd, dan had ik in 1 grafiek de verschillende tijdsreeksen in een boxplot gekregen.
De link die de vorige student (Bas Van Keken) had gegeven, geeft deze Nothced boxplots weer.
Uit deze grafiek kan je dan afleiden dat de mediaan het hoogste is bij totale productie (101.7) en het laagste bij investeringen (54.5). De conclusie is dan ook dat de investeringen aan het dalen zijn.
Als je kijkt naar de verschillende boxplots zie je duidelijk dat die van de investeringen opvallend lager ligt. Dit is een significant verschil.
2008-12-01 18:31:06 [0762c65deec3d397cd9f26b3749a0847] [reply] 
je had best de 4 kolommen ineens ingegeven. als je dit had gedaan dan kon je het beste afleiden dat de mediaan het hoogste is bij totale productie en het laagste bij investeringen. Als je naar de boxplots kijkt, zie je duidelijk dat die van de investeringen opvallend lager ligt ==> significant verschil.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.40	99.90
96.40	99.80
101.90	99.80
106.20	100.30
81.00	99.90
94.70	99.90
101.00	100.00
109.40	100.10
102.30	100.10
90.70	100.20
96.20	100.30
96.10	100.60
106.00	100.00
103.10	100.10
102.00	100.20
104.70	100.00
86.00	100.10
92.10	100.10
106.90	100.10
112.60	100.50
101.70	100.50
92.00	100.50
97.40	96.30
97.00	96.30
105.40	96.80
102.70	96.80
98.10	96.90
104.50	96.80
87.40	96.80
89.90	96.80
109.80	96.80
111.70	97.00
98.60	97.00
96.90	97.00
95.10	96.80
97.00	96.90
112.70	97.20
102.90	97.30
97.40	97.30
111.40	97.20
87.40	97.30
96.80	97.30
114.10	97.30
110.30	97.30
103.90	97.30
101.60	97.30
94.60	98.10
95.90	96.80
104.70	96.80
102.80	96.80
98.10	96.80
113.90	96.80
80.90	96.80
95.70	96.80
113.20	96.80
105.90	96.80
108.80	96.80
102.30	96.80
99.00	96.90
100.70	97.10
115.50	97.10

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=19888&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=19888&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19888&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
Totale8696.2101.7106115.5
afzetprijsindex96.396.897.3100100.6

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Totale & 86 & 96.2 & 101.7 & 106 & 115.5 \tabularnewline
afzetprijsindex & 96.3 & 96.8 & 97.3 & 100 & 100.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19888&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]Totale[/C][C]86[/C][C]96.2[/C][C]101.7[/C][C]106[/C][C]115.5[/C][/ROW]
[ROW][C]afzetprijsindex[/C][C]96.3[/C][C]96.8[/C][C]97.3[/C][C]100[/C][C]100.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19888&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19888&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
Totale8696.2101.7106115.5
afzetprijsindex96.396.897.3100100.6






Boxplot Notches
Variablelower boundmedianupper bound
Totale99.717476951119101.7103.682523048881
afzetprijsindex96.652645535059397.397.9473544649407

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Totale & 99.717476951119 & 101.7 & 103.682523048881 \tabularnewline
afzetprijsindex & 96.6526455350593 & 97.3 & 97.9473544649407 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19888&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]Totale[/C][C]99.717476951119[/C][C]101.7[/C][C]103.682523048881[/C][/ROW]
[ROW][C]afzetprijsindex[/C][C]96.6526455350593[/C][C]97.3[/C][C]97.9473544649407[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19888&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19888&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
Totale99.717476951119101.7103.682523048881
afzetprijsindex96.652645535059397.397.9473544649407


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 500 ; par2 = 12 ;
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')