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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_tukeylambda.wasp
Title produced by softwareTukey lambda PPCC Plot
Date of computationFri, 15 Oct 2010 10:10:43 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/15/t1287137385uqw7ljntfeljjmd.htm/, Retrieved Sat, 04 May 2024 15:10:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83386, Retrieved Sat, 04 May 2024 15:10:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Tukey lambda PPCC Plot] [Intrinsic Motivat...] [2010-10-12 12:09:04] [b98453cac15ba1066b407e146608df68]
F    D    [Tukey lambda PPCC Plot] [Intrinsic Motivat...] [2010-10-15 10:10:43] [18ef3d986e8801a4b28404e69e5bf56b] [Current]
Feedback Forum
2010-10-23 07:34:24 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
De software werd hier op een correcte manier toegepast en ook de conclusie kan beschouwd worden als correct. Echter is het wel zo dat verschil tussen de correlatiewaarden voor Lambda gelijk aan 0,5 en Lambda gelijk aan 0,14 zéér klein is. Dit maakt dat er interpretatie mogelijk is en dat we toch kunnen spreken van een normaalverdeling.
2010-10-24 08:29:38 [6f5a430a34dfbeab884e51a2f2a26434] [reply] 
Het is inderdaad zo dat er een hogere waarde vast te stellen is bij de U-shape, maar er is slechts een klein verschil in waarde tussen die van de U-shape en de normaalverdeling.
2010-10-25 16:09:16 [Tom Vandaele] [reply] 
Ook als we voor lambda 0.14 nemen krijgen we een zeer grote waarde(0.994395269862472).
Daarom kunnen we ook hier besluiten dat het om een normaal verdeling gaat.
2010-10-25 20:59:59 [Naoual Ahidar] [reply] 
Ook de Tukey-lambda wijst inderdaad op een normaalverdeling aangezien de correlatiecoëfficiënten bij de lambda-waarden die wijzen op een normaalverdeling, dicht bij 1 gelegen zijn

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Dataset

Dataseries X:
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Histogram
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=83386&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=83386&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83386&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.518871720339169
Exact Logistic (lambda=0)0.98552599432662
Approx. Normal (lambda=0.14)0.994395269862472
U-shaped (lambda=0.5)0.99470108646308
Exactly Uniform (lambda=1)0.986822832768485

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.518871720339169 \tabularnewline
Exact Logistic (lambda=0) & 0.98552599432662 \tabularnewline
Approx. Normal (lambda=0.14) & 0.994395269862472 \tabularnewline
U-shaped (lambda=0.5) & 0.99470108646308 \tabularnewline
Exactly Uniform (lambda=1) & 0.986822832768485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83386&T=1

[TABLE]
[ROW][C]Tukey Lambda - Key Values[/C][/ROW]
[ROW][C]Distribution (lambda)[/C][C]Correlation[/C][/ROW]
[ROW][C]Approx. Cauchy (lambda=-1)[/C][C]0.518871720339169[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.98552599432662[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.994395269862472[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.99470108646308[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.986822832768485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83386&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83386&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.518871720339169
Exact Logistic (lambda=0)0.98552599432662
Approx. Normal (lambda=0.14)0.994395269862472
U-shaped (lambda=0.5)0.99470108646308
Exactly Uniform (lambda=1)0.986822832768485


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
gp <- function(lambda, p)
{
(p^lambda-(1-p)^lambda)/lambda
}
sortx <- sort(x)
c <- array(NA,dim=c(201))
for (i in 1:201)
{
if (i != 101) c[i] <- cor(gp(ppoints(x), lambda=(i-101)/100),sortx)
}
bitmap(file='test1.png')
plot((-100:100)/100,c[1:201],xlab='lambda',ylab='correlation',main='PPCC Plot - Tukey lambda')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Lambda - Key Values',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Distribution (lambda)',1,TRUE)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Approx. Cauchy (lambda=-1)',header=TRUE)
a<-table.element(a,c[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Exact Logistic (lambda=0)',header=TRUE)
a<-table.element(a,(c[100]+c[102])/2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Approx. Normal (lambda=0.14)',header=TRUE)
a<-table.element(a,c[115])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'U-shaped (lambda=0.5)',header=TRUE)
a<-table.element(a,c[151])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Exactly Uniform (lambda=1)',header=TRUE)
a<-table.element(a,c[201])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')