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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, 04 Oct 2010 18:18:50 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/04/t1286216331jrthdbe4h27q4a1.htm/, Retrieved Sat, 27 Apr 2024 19:43:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80871, Retrieved Sat, 27 Apr 2024 19:43:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Screen Width and ...] [2010-09-25 10:03:47] [b98453cac15ba1066b407e146608df68]
F    D    [Notched Boxplots] [Task 7: Notched B...] [2010-10-04 18:18:50] [dfb0309aec67f282200eef05efe0d5bd] [Current]
Feedback Forum
2010-10-09 10:27:02 [e6db9a09cb3ba986d5f9cc28edcae776] [reply

Oplossing klopt want door de extreme waarden weg te halen, krijgen we een beter beeld van het verband tussen de hoogte en de breedte van een scherm.
2010-10-09 11:45:25 [abfc2690eac87da053eb0d612ccdbe5b] [reply
Ik geloof dat er te veel data zijn uitgehaald. De boxplot lijkt op zich wel goed, want er bevinden zich geen bolletjes (outliers) meer in de boxplot.

De uitschieters (data buiten de omheiningen van de boxplot) dienen dus, zoals vermeld in het antwoord, verwijderd te worden. VB: De berekening om de onderste binnenste omheining te vinden van de breedte is door het onderste scharnier (lower hinge) - 1.5*(upper hinge - lower hinge) te doen=> 1280 - 1.5*160 = 1040. Dus alle breedte-waarden onder de 1040 zijn uitschieters en moeten eruit gehaald worden. Dat doe je ook voor het bovenste binnenste omheining voor de breedte. Herhaal dit ook voor de hoogte gegevens.

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Dataseries X:
1120	700
1280	800
1280	800
1280	800
1280	800
1280	800
1440	900
1280	800
1280	800
1280	768
1176	735
1280	800
1503	845
1440	900
1366	768
1280	768
1280	800
1280	768
1280	800
1440	900
1280	800
1440	900
1440	900
1143	857
1280	800
1440	900
1280	800
1366	768
1408	880
1366	768
1176	735
1257	785
1280	800
1280	800
1440	900
1680	1050
1440	900
1280	800
1280	800
1280	800
1280	800
1440	900
1280	800
1152	864
1280	800
1440	900
1280	800
1440	900
1280	800
1280	800
1440	900
1280	800
1600	900
1366	768
1280	800
1280	800
1440	900
1366	768
1280	800
1280	800
1440	900
1280	800
1280	800
1408	880
1280	800
1600	900
1600	900
1680	1050
1440	900
1440	900
1280	800
1280	800
1280	800
1280	800
1366	768
1440	900
1280	800
1600	900
1117	698
1440	900
1280	800
1440	900
1280	800
1280	800
1280	800
1440	900
1280	800
1152	864
1280	768
1366	768
1680	1050
1680	1050
1280	800
1366	768
1440	900
1280	800
1280	800
1280	800
1280	800




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80871&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80871&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80871&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ 72.249.76.132







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Width11171280128014401680
Height6988008009001050

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Width & 1117 & 1280 & 1280 & 1440 & 1680 \tabularnewline
Height & 698 & 800 & 800 & 900 & 1050 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80871&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]Width[/C][C]1117[/C][C]1280[/C][C]1280[/C][C]1440[/C][C]1680[/C][/ROW]
[ROW][C]Height[/C][C]698[/C][C]800[/C][C]800[/C][C]900[/C][C]1050[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80871&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80871&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
Variablelower whiskerlower hingemedianupper hingeupper whisker
Width11171280128014401680
Height6988008009001050







Boxplot Notches
Variablelower boundmedianupper bound
Width1254.5926440302512801305.40735596975
Height784.120402518904800815.879597481096

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1254.59264403025 & 1280 & 1305.40735596975 \tabularnewline
Height & 784.120402518904 & 800 & 815.879597481096 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80871&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]Width[/C][C]1254.59264403025[/C][C]1280[/C][C]1305.40735596975[/C][/ROW]
[ROW][C]Height[/C][C]784.120402518904[/C][C]800[/C][C]815.879597481096[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80871&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80871&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
Variablelower boundmedianupper bound
Width1254.5926440302512801305.40735596975
Height784.120402518904800815.879597481096



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')