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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 20:37:38 +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/t1286224620c6xeb9x4u1q7e3s.htm/, Retrieved Sun, 28 Apr 2024 13:31:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81173, Retrieved Sun, 28 Apr 2024 13:31:21 +0000

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Original text written by user:

Een correlatie vanaf 1200.

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

108

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   PD    [Notched Boxplots] [] [2010-10-04 20:37:38] [5842cf9dd57f9603e676e11284d3404a] [Current]

Feedback Forum

2010-10-09 10:20:53 [536303b3a93229de4a593d72b4a11cb3] [reply] 
De notched boxplot is niet correct. Een juist weergave kan je vinden bij de volgende link: http://www.freestatistics.org/blog/date/2010/Oct/04/t1286209924pvfyt82cyf8g0et.htm/ 
 
volgende code z <- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,] werd ingegeven om de outliers te verwijderen
2010-10-09 14:51:43 [6f5a430a34dfbeab884e51a2f2a26434] [reply] 
Je Notched boxplot is anders weergegeven dan de oplossing gegeven door professor Wessa. 
 
Dit komt waarschijnlijk omdat je je broncode niet aangepast hebt om de outliers buiten beschouwing te laten. 
 
Je antwoord is niet correct, correlatie kan niet meteen uit deze notched boxplot afgelezen worden.  
Je kan wel de verschillende percentielen zien aan de box. De onderkant bijvoorbeeld laat het 25ste percentiel zien en de bovenkant van de box het 75ste percentiel. 
 
Probeer ook hier een beetje meer uitleg te geven over hoe je aan je antwoord komt.
2010-10-10 08:42:45 [1951de723fd2749e12bc2f1a75bd3e74] [reply] 
Je klikt op reproduce en je merkt dat er 2 kolommen in de data staan. De linkerkolom is de schermbreedte en de rechterkolom is de schermhoogte. 
Je kan de data manueel wijzigen in Excel door de lower- en upperbound te verwijderen uit de data. Zo verwijder je het 25ste en 75ste percentiel, daar zitten de 50 middelste gegevens. Wanneer je de extreme waarden verwijderd, zullen de bolletjes op de boxplot verdwijnen.  
 
Het is eenvoudiger om de R-code veranderd. Je typt bovenaan de R-code  
Z<- z[z[,1]*z[,2]>800000 & z[,1]*z[,2]<1700000,] 
 
De boxplot zou eigenlijk niet mogen beïnvloed worden door de outlines. De bolletjes zijn wel verdwenen als je de extreme waarden verwijderd maar je krijgt nog steeds ongeveer dezelfde afmetingen omdat de boxplot ongevoelig is voor extreme waarden.  
 
URL : http://www.freestatistics.org/blog/date/2010/Oct/04/t1286209924pvfyt82cyf8g0et.htm/ 

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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=81173&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=81173&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81173&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	641	900	1120	1280	1600
Height	640	768	864	1280	1600

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Width & 641 & 900 & 1120 & 1280 & 1600 \tabularnewline
Height & 640 & 768 & 864 & 1280 & 1600 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81173&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]641[/C][C]900[/C][C]1120[/C][C]1280[/C][C]1600[/C][/ROW]
[ROW][C]Height[/C][C]640[/C][C]768[/C][C]864[/C][C]1280[/C][C]1600[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81173&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81173&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	641	900	1120	1280	1600
Height	640	768	864	1280	1600

Boxplot Notches
Variable	lower bound	median	upper bound
Width	1067.93871742977	1120	1172.06128257023
Height	793.854271905377	864	934.145728094623

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1067.93871742977 & 1120 & 1172.06128257023 \tabularnewline
Height & 793.854271905377 & 864 & 934.145728094623 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81173&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]1067.93871742977[/C][C]1120[/C][C]1172.06128257023[/C][/ROW]
[ROW][C]Height[/C][C]793.854271905377[/C][C]864[/C][C]934.145728094623[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81173&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81173&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	1067.93871742977	1120	1172.06128257023
Height	793.854271905377	864	934.145728094623

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

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