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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_tukeylambda.wasp

Title produced by software

Tukey lambda PPCC Plot

Date of computation

Mon, 27 Oct 2008 14:36:20 -0600

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/Oct/27/t1225139808wtcyu9dsraqn2n2.htm/, Retrieved Sun, 19 May 2024 02:00:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19586, Retrieved Sun, 19 May 2024 02:00:56 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

182

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

F     [Tukey lambda PPCC Plot] [Investigating dis...] [2007-10-22 19:59:15] [b9964c45117f7aac638ab9056d451faa]
-    D  [Tukey lambda PPCC Plot] [] [2008-10-26 15:53:59] [a4ee3bef49b119f4bd2e925060c84f5e]
F           [Tukey lambda PPCC Plot] [q8 invest.distr.] [2008-10-27 20:36:20] [3762bf489501725951ad2579179cae2a] [Current]

Feedback Forum

2008-11-01 15:44:28 [Stéphanie Thijs] [reply] 
De student heeft hier niet de verdeling van de random component berekend, maar terug de verdeling van de volledige tijdreeks. De student had het gemiddelde moeten berekenen van zijn tijdreeks en deze waarde aftrekken van de gegevens van zijn tijdreeks. Deze 'nieuwe' reeks zijn de random components van zijn oorspronkelijke reeks, waarvoor hij de verdeling moest zoeken.   
2008-11-03 11:10:40 [Astrid Sniekers] [reply] 
Dit is helemaal juist. 

Post a new message

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=19586&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=19586&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19586&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

Tukey Lambda - Key Values
Distribution (lambda)	Correlation
Approx. Cauchy (lambda=-1)	0.66464726542885
Exact Logistic (lambda=0)	0.986536530134482
Approx. Normal (lambda=0.14)	0.992562823496335
U-shaped (lambda=0.5)	0.99150029231917
Exactly Uniform (lambda=1)	0.984214196710458

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.66464726542885 \tabularnewline
Exact Logistic (lambda=0) & 0.986536530134482 \tabularnewline
Approx. Normal (lambda=0.14) & 0.992562823496335 \tabularnewline
U-shaped (lambda=0.5) & 0.99150029231917 \tabularnewline
Exactly Uniform (lambda=1) & 0.984214196710458 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19586&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]0.66464726542885[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.986536530134482[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.992562823496335[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.99150029231917[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.984214196710458[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19586&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19586&T=1

As an alternative you can also use a QR Code:

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

Tukey Lambda - Key Values
Distribution (lambda)	Correlation
Approx. Cauchy (lambda=-1)	0.66464726542885
Exact Logistic (lambda=0)	0.986536530134482
Approx. Normal (lambda=0.14)	0.992562823496335
U-shaped (lambda=0.5)	0.99150029231917
Exactly Uniform (lambda=1)	0.984214196710458

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code