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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 19:36:23 +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/t1286220944amkky01qi2fafy1.htm/, Retrieved Sun, 28 Apr 2024 16:28:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81077, Retrieved Sun, 28 Apr 2024 16:28:25 +0000

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Original text written by user:

Interpretation: An outlier can cause problems if you’re trying to draw conclusions from your data. By removing the outliers, your results will be more exact and accurate. Another conclusion is that the mean will represent the data more accurate .

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

134

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]
-    D  [Notched Boxplots] [TASK 7 : NOTCHED ...] [2010-10-04 00:17:09] [e5530f2c7259a109047d868b22ce3896]
F    D      [Notched Boxplots] [TASK 7 : NOTCHED ...] [2010-10-04 19:36:23] [05a3d060fb1d372fa2d84e37f098db3c] [Current]

Feedback Forum

2010-10-09 11:09:53 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
De student heeft hier inderdaad nieuwe notched boxplots gecreëerd waarbij de outliers werden weggelaten, maar het is niet geheel duidelijk waarop men zich heeft gebaseerd om dit te doen.  
 
Wel is het zo dat de student het interval iets te klein heeft genomen en daardoor te veel waarden heeft geëlimineerd. Een goed interval voor het aantal pixels (hoogte * breedte)van de gebruikte computerschermen is ]800000,1700000[. De gegevens kan men aanpassen door de broncode (R- code)te wijzigen naar       z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,].  
 
Wat betreft de interpretatie is het zo dat de notched boxplot net één van de grafische voorstellingen is die het minst rekening houdt met de aanwezigheid van eventuele outliers.  
De conclusie ivm het gemiddelde klopt enkel indien er geen extreme uitschieters zijn of indien deze werden verwijderd.

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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	'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81077&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81077&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81077&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	'George Udny Yule' @ 72.249.76.132

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=81077&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=81077&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81077&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	1256.21857644726	1280	1303.78142355274
Height	785.13661027954	800	814.86338972046

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1256.21857644726 & 1280 & 1303.78142355274 \tabularnewline
Height & 785.13661027954 & 800 & 814.86338972046 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81077&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]1256.21857644726[/C][C]1280[/C][C]1303.78142355274[/C][/ROW]
[ROW][C]Height[/C][C]785.13661027954[/C][C]800[/C][C]814.86338972046[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81077&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81077&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	1256.21857644726	1280	1303.78142355274
Height	785.13661027954	800	814.86338972046

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