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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 20:57:28 +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/t12862257862ci5w7jksrx3c6f.htm/, Retrieved Sun, 28 Apr 2024 02:15:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81197, Retrieved Sun, 28 Apr 2024 02:15:34 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

122

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 20:57:28] [81d69fb83507cea26168920232cdff1b] [Current]

Feedback Forum

2010-10-09 11:49:52 [6f5a430a34dfbeab884e51a2f2a26434] [reply] 
Je hebt bij deze oefening de broncode niet aangepast, daardoor heb je een andere schaal.  
 
Daarentegen heb je de gegevens wel goed geïnterpreteerd, maar niet uitgebreid genoeg. Zo zou je eventueel meer informatie kunnen geven over het 25ste en 27ste percentiel en de corresponderende waarden erbij vernoemen.
2010-10-10 09:09:15 [1951de723fd2749e12bc2f1a75bd3e74] [reply] 
Juiste interpretatie. De boxplot kan je op deze 2 manieren aanpassen:  
 
 
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. Upper bound = 1301,44 = 75ste percentiel. 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/ 
2010-10-10 12:14:35 [Pascal Wijnen] [reply] 
De student begreep de opdracht, enkel heeft deze ze niet uitgevoerd. 
Zoals de student boven me schrijft zijn er 2 mogelijke manieren om dit te doen: manueel of door verandering van de R-code.

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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=81197&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=81197&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81197&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	640	768	800	900	1080

\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 & 640 & 768 & 800 & 900 & 1080 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81197&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]640[/C][C]768[/C][C]800[/C][C]900[/C][C]1080[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81197&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81197&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	640	768	800	900	1080

Boxplot Notches
Variable	lower bound	median	upper bound
Width	1258.48023490242	1280	1301.51976509758
Height	782.246193794496	800	817.753806205504

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1258.48023490242 & 1280 & 1301.51976509758 \tabularnewline
Height & 782.246193794496 & 800 & 817.753806205504 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81197&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]1258.48023490242[/C][C]1280[/C][C]1301.51976509758[/C][/ROW]
[ROW][C]Height[/C][C]782.246193794496[/C][C]800[/C][C]817.753806205504[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81197&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81197&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	1258.48023490242	1280	1301.51976509758
Height	782.246193794496	800	817.753806205504

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

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