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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

Wed, 05 Nov 2008 03:05:26 -0700

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/2008/Nov/05/t1225879567p8jirn22zfuobat.htm/, Retrieved Sun, 19 May 2024 12:02:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21666, Retrieved Sun, 19 May 2024 12:02:08 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

189

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F       [Notched Boxplots] [taak3] [2008-11-05 10:05:26] [7596afe9a05f2a2719ece78b1b0e12e6] [Current]

Feedback Forum

2008-11-12 09:23:52 [Marie-Lien Loos] [reply] 
Grafiek is juist. 
Logaritme z zorgt ervoor dat de spreiding verkleint. De verdeling zal meer richting 'normaal verdeeld' gaan als er geen transformaties worden uitgevoerd. 

Post a new message

Dataseries X:

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Histogram

Boxplots

99.2	96.7	101.0
99.0	98.1	100.1
100.0	100.0	100.0
111.6	104.9	90.6
122.2	104.9	86.5
117.6	109.5	89.7
121.1	110.8	90.6
136.0	112.3	82.8
154.2	109.3	70.1
153.6	105.3	65.4
158.5	101.7	61.3
140.6	95.4	62.5
136.2	96.4	63.6
168.0	97.6	52.6
154.3	102.4	59.7
149.0	101.6	59.5
165.5	103.8	61.3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21666&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21666&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21666&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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Cons	4.59511985013459	4.76728903546453	4.91412439371541	5.03825046112923	5.12396397940326
Inc	4.55807857845424	4.58598736657132	4.62888671260541	4.65681341913993	4.7211738617444
Price	3.96271611974366	4.11577984294217	4.24992279404054	4.50645421304893	4.61512051684126

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Cons & 4.59511985013459 & 4.76728903546453 & 4.91412439371541 & 5.03825046112923 & 5.12396397940326 \tabularnewline
Inc & 4.55807857845424 & 4.58598736657132 & 4.62888671260541 & 4.65681341913993 & 4.7211738617444 \tabularnewline
Price & 3.96271611974366 & 4.11577984294217 & 4.24992279404054 & 4.50645421304893 & 4.61512051684126 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21666&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]Cons[/C][C]4.59511985013459[/C][C]4.76728903546453[/C][C]4.91412439371541[/C][C]5.03825046112923[/C][C]5.12396397940326[/C][/ROW]
[ROW][C]Inc[/C][C]4.55807857845424[/C][C]4.58598736657132[/C][C]4.62888671260541[/C][C]4.65681341913993[/C][C]4.7211738617444[/C][/ROW]
[ROW][C]Price[/C][C]3.96271611974366[/C][C]4.11577984294217[/C][C]4.24992279404054[/C][C]4.50645421304893[/C][C]4.61512051684126[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21666&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21666&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
Cons	4.59511985013459	4.76728903546453	4.91412439371541	5.03825046112923	5.12396397940326
Inc	4.55807857845424	4.58598736657132	4.62888671260541	4.65681341913993	4.7211738617444
Price	3.96271611974366	4.11577984294217	4.24992279404054	4.50645421304893	4.61512051684126

Boxplot Notches
Variable	lower bound	median	upper bound
Cons	4.81029027171518	4.91412439371541	5.01795851571564
Inc	4.60174572393824	4.62888671260541	4.65602770127257
Price	4.1002139190281	4.24992279404054	4.39963166905299

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Cons & 4.81029027171518 & 4.91412439371541 & 5.01795851571564 \tabularnewline
Inc & 4.60174572393824 & 4.62888671260541 & 4.65602770127257 \tabularnewline
Price & 4.1002139190281 & 4.24992279404054 & 4.39963166905299 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21666&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]Cons[/C][C]4.81029027171518[/C][C]4.91412439371541[/C][C]5.01795851571564[/C][/ROW]
[ROW][C]Inc[/C][C]4.60174572393824[/C][C]4.62888671260541[/C][C]4.65602770127257[/C][/ROW]
[ROW][C]Price[/C][C]4.1002139190281[/C][C]4.24992279404054[/C][C]4.39963166905299[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21666&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21666&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
Cons	4.81029027171518	4.91412439371541	5.01795851571564
Inc	4.60174572393824	4.62888671260541	4.65602770127257
Price	4.1002139190281	4.24992279404054	4.39963166905299

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(log(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