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Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Sun, 03 Oct 2010 16:22:29 +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/03/t128612291826cylx4tu1631sb.htm/, Retrieved Fri, 03 May 2024 09:38:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80318, Retrieved Fri, 03 May 2024 09:38:32 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

126

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...] [2010-10-03 16:22:29] [b4ba846736d082ffaee409a197f454c7] [Current]

Feedback Forum

2010-10-08 09:10:55 [2367ef1b461dcf270178cda4b96c6ab3] [reply] 
oke
2010-10-08 13:27:08 [7d66e2e510b144c68ca0882fd178e17c] [reply] 
Deze opdracht werd niet helemaal correct uitgevoerd.  
We moeten de outliers verwijderen door een formule (je kan het ook manueel doen) op de juiste plaats in de R-Code in te vullen. De formule: z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,]. We behouden hierbij de gegevens in het interval ]800000, 1700000[.  
 
De exacte plaats van deze code en de verdere berekening vind je hier terug: http://www.freestatistics.org/blog/index.php?v=date/2010/Oct/07/t1286452420mgyzasudnh7fz67.htm/    
 
Als we dit resultaat vergelijken met de boxplot waar de outliers niet verwijderd zijn, kunnen we vaststellen dat de outliers de berekening niet sterk beïnvloeden. De resultaten liggen namelijk zeer dicht bij elkaar. Deze resultaten zijn af te lezen en te vergelijken in de boxplot statistics en boxplot notches van bovenstaande url en deze url:http://www.freestatistics.org/blog/index.php?v=date/2010/Sep/25/t1285408985bw54ey5c8trehqq.htm/ 
2010-10-12 18:39:18 [Keris Van Engeland] [reply] 
Deze oplossing is correct.
  2010-10-12 18:42:45 [Keris Van Engeland] [reply] 
Had mij vergist van oefening. Hier moest je de outliers verwijderen, manueel of door het invoeren van de code z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,]. Dit moest je doen omdat de outliers de bereking beïnvloedt.

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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=80318&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=80318&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80318&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	1120	1280	1280	1387	1503
Height	640	768	800	900	1050

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Width & 1120 & 1280 & 1280 & 1387 & 1503 \tabularnewline
Height & 640 & 768 & 800 & 900 & 1050 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80318&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]1120[/C][C]1280[/C][C]1280[/C][C]1387[/C][C]1503[/C][/ROW]
[ROW][C]Height[/C][C]640[/C][C]768[/C][C]800[/C][C]900[/C][C]1050[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80318&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80318&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	1120	1280	1280	1387	1503
Height	640	768	800	900	1050

Boxplot Notches
Variable	lower bound	median	upper bound
Width	1265.28521574206	1280	1294.71478425794
Height	781.84718203694	800	818.15281796306

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1265.28521574206 & 1280 & 1294.71478425794 \tabularnewline
Height & 781.84718203694 & 800 & 818.15281796306 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80318&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]1265.28521574206[/C][C]1280[/C][C]1294.71478425794[/C][/ROW]
[ROW][C]Height[/C][C]781.84718203694[/C][C]800[/C][C]818.15281796306[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80318&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80318&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	1265.28521574206	1280	1294.71478425794
Height	781.84718203694	800	818.15281796306

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