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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 18:15:27 +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/t1286216108k6urzmxerkiny13.htm/, Retrieved Sun, 28 Apr 2024 09:51:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80859, Retrieved Sun, 28 Apr 2024 09:51:35 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

147

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 bo...] [2010-10-04 18:15:27] [7a87ed98a7b21a29d6a45388a9b7b229] [Current]

Feedback Forum

2010-10-07 21:38:43 [411b43619fc9db329bbcdbf7261c55fb] [reply] 
De auteur heeft manueel de extreme waarden verwijdert. Dit is correct gebeurd. 
 
Ik had bij mijn oplossing ook extreme waarden verwijdert, maar blijkbaar niet allemaal. Daarom kreeg ik een ander beeld te zien dan deze persoon.  
 
Daarnaast ben ik het eens met de conclusie die de auteur stelt. Het is inderdaad zo dat een boxplot niet beïnvloed wordt door extreme waarden, aangezien deze gebruik maakt van de mediaan. Het verwijderen van de extreme waarden zorgt er gewoon voor dat de uiteen liggende 'bolletjes' verwijderd worden. De onder- en bovengrens worden hierdoor dus niet beïnvloed.
2010-10-08 16:21:19 [347d11d64cf4ded9ba0714e7297d928b] [reply] 
Niet volledig (1/2). 
De student zijn methode is op zich correct en de interpretatie die de persoon maakt ook. Maar hij heeft manueel teveel outliers verwijderd, normaal blijven er nog een paar over.
2010-10-09 09:22:46 [] [reply] 
De student heeft net als mij enkele outliers verwijderd. Dit kan beter gebeuren door de R-code te veranderen. Vb. z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,].  
 
Zijn conclusie is weliswaar correct
2010-10-10 13:22:26 [Kirian Weidener] [reply] 
Er is op een juiste manier te werk gegaan door de outliers te verwijderen ook heeft hij een goede conclusie gemaakt door te zeggen dat de positie van de boxplot niet veranderd door het verwijderen van deze outliers
2010-10-10 15:47:43 [73b763ab03a59f488b4c9e04fda397bb] [reply] 
De student heeft op een correcte manier de uitschieters verwijderD. Ook de conclusie is juist. 

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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=80859&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=80859&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80859&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	1117	1280	1280	1440	1680
Height	698	800	800	900	1050

\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=80859&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=80859&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80859&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	1117	1280	1280	1440	1680
Height	698	800	800	900	1050

Boxplot Notches
Variable	lower bound	median	upper bound
Width	1255.78615150961	1280	1304.21384849039
Height	784.866344693506	800	815.133655306494

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1255.78615150961 & 1280 & 1304.21384849039 \tabularnewline
Height & 784.866344693506 & 800 & 815.133655306494 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80859&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]1255.78615150961[/C][C]1280[/C][C]1304.21384849039[/C][/ROW]
[ROW][C]Height[/C][C]784.866344693506[/C][C]800[/C][C]815.133655306494[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80859&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80859&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	1255.78615150961	1280	1304.21384849039
Height	784.866344693506	800	815.133655306494

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