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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

Mon, 04 Oct 2010 18:21:04 +0000

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/2010/Oct/04/t1286216529kigkqs1qrsx93h3.htm/, Retrieved Sun, 28 Apr 2024 05:33:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80883, Retrieved Sun, 28 Apr 2024 05:33:58 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

113

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 18:21:04] [ee4a783fb13f41eb2e9bc8a0c4f26279] [Current]
- R         [Notched Boxplots] [] [2011-10-04 18:34:19] [d3c56829b3e69baec30b0d469b5d7237] 

Feedback Forum

2010-10-08 14:48:47 [347d11d64cf4ded9ba0714e7297d928b] [reply] 
Niet volledig (1/2). 
De student heeft teveel uitschieters weg gelaten. Een methode hiervoor was om gewoon alle data binnen het interval ]800000, 1700000[ te nemen. Hierdoor onstaan er nog paar uitschieters. 
Ondanks dit foutje kan je wel zien dat de student de boxplot correct kan aflezen.
2010-10-09 08:33:55 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
Het is bij deze opdracht niet helemaal duidelijk waarop de student zich gebaseerd heeft om bepaalde resoluties (de eerste 27 en de laatste 14) weg te laten.  
 
Wel is het inderdaad zo dat de student net iets te veel outliers heeft weggelaten. Een goed interval voor het aantal pixels (hoogte * breedte)van de gebruikte computerschermen is ]800000, 1700000[. De gegevens kan men opnieuw aanpassen door de broncode te wijzigen naar z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,]. 
 
Echter de interpretatie van de boxplot heeft de student wel zeer goed gedaan. De student is er namelijk in geslaagd om de juiste gegevens af te lezen uit deze notched boxplots.
2010-10-12 15:57:43 [Jasper Ledeganck] [reply] 
De student heeft ervoor gekozen om zo goed als alle outliers weg te laten uit de gegevensreeks. Dit was misschien niet nodig geweest, aangezien sommige outliers weldegelijk hun nut hebben in de berekeningen. Met de overgebleven gegevens heeft de student een degelijke boxplot gecreëerd, en deze correct geanalyseerd.De ons aangereikte oplossing is echter als volgt: Indien we aan de R-code de volgende regel toevoegen: z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,], dan worden enkel de schermen met een aantal pixels tusen 800.000 en 1.700.000 weergegeven. Hierbij zijn de outliers weggewerkt, terwijl de boxen amper gewijzigd zijn. 
 

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Dataseries X:

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Histogram

Boxplots

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=80883&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=80883&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80883&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
Width	1152	1280	1280	1366	1440
Height	735	800	800	900	1024

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Width & 1152 & 1280 & 1280 & 1366 & 1440 \tabularnewline
Height & 735 & 800 & 800 & 900 & 1024 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80883&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]1152[/C][C]1280[/C][C]1280[/C][C]1366[/C][C]1440[/C][/ROW]
[ROW][C]Height[/C][C]735[/C][C]800[/C][C]800[/C][C]900[/C][C]1024[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80883&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80883&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
Width	1152	1280	1280	1366	1440
Height	735	800	800	900	1024

Boxplot Notches
Variable	lower bound	median	upper bound
Width	1266.20347630816	1280	1293.79652369184
Height	783.957530590889	800	816.042469409111

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1266.20347630816 & 1280 & 1293.79652369184 \tabularnewline
Height & 783.957530590889 & 800 & 816.042469409111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80883&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]1266.20347630816[/C][C]1280[/C][C]1293.79652369184[/C][/ROW]
[ROW][C]Height[/C][C]783.957530590889[/C][C]800[/C][C]816.042469409111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80883&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80883&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
Width	1266.20347630816	1280	1293.79652369184
Height	783.957530590889	800	816.042469409111

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code