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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 computationTue, 19 Oct 2010 15:53:05 +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/19/t1287503503k1eym8r2dum5yqa.htm/, Retrieved Sun, 28 Apr 2024 19:51:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86683, Retrieved Sun, 28 Apr 2024 19:51:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

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] [] [2010-10-19 15:53:05] [6b31f806e9ccc1f74a26091056f791cb] [Current]
-           [Tukey lambda PPCC Plot] [Amotivation 3] [2010-10-19 19:27:18] [abf4ff90b26c6b37be4a30063b404639]
Feedback Forum
2010-10-23 09:30:16 [] [reply] 
De maximum correlatiewaarde sluit het beste aan bij de exact logistic verdeling en dus niet bij de normale verdeling.
2010-10-23 11:32:30 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
Men kan hier inderdaad vaststellen dat de grafiek zijn hoogtepunt bereikt bij Lambda gelijk aan nul. Dit kan men bovendien ook vaststellen wanneer men de tabel observeert. Hieruit kan men dus concluderen dat de gegevens in verband met de amotivatie niet normaal verdeeld zijn.

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Dataset

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Download CSV
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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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86683&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86683&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86683&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.544055212766565
Exact Logistic (lambda=0)0.848360036049737
Approx. Normal (lambda=0.14)0.844664020334802
U-shaped (lambda=0.5)0.82744257428688
Exactly Uniform (lambda=1)0.812154568833411

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.544055212766565 \tabularnewline
Exact Logistic (lambda=0) & 0.848360036049737 \tabularnewline
Approx. Normal (lambda=0.14) & 0.844664020334802 \tabularnewline
U-shaped (lambda=0.5) & 0.82744257428688 \tabularnewline
Exactly Uniform (lambda=1) & 0.812154568833411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86683&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]0.544055212766565[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.848360036049737[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.844664020334802[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.82744257428688[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.812154568833411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86683&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86683&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)0.544055212766565
Exact Logistic (lambda=0)0.848360036049737
Approx. Normal (lambda=0.14)0.844664020334802
U-shaped (lambda=0.5)0.82744257428688
Exactly Uniform (lambda=1)0.812154568833411


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')