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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 computationSun, 26 Oct 2008 16:48:38 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/26/t12250613663y7adyz79cvzgox.htm/, Retrieved Sun, 19 May 2024 02:17:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19084, Retrieved Sun, 19 May 2024 02:17:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
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]
F    D    [Tukey lambda PPCC Plot] [Investigating Dis...] [2008-10-26 22:48:38] [dafd615cb3e0decc017580d68ecea30a] [Current]
F    D      [Tukey lambda PPCC Plot] [Q8] [2008-10-28 07:18:51] [b641c14ac36cb6fee377f3b099dcac19]
Feedback Forum
2008-11-01 11:25:18 [Ellen Smolders] [reply
De student heeft deze vraag correct beantwoord.
2008-11-02 23:01:40 [Jeroen Michel] [reply
Ook hier is de juiste feedback gegeven op de bekomen resultaten. De exactly uniform (lambda 1) bevat hier de hoogste correlatie. De resulaten zijn juist geïnterpreteerd geweest.
2008-11-03 20:34:48 [Jeroen Aerts] [reply
Deze berekening met zijn conclusie is correct.

Post a new message
Dataseries X:
0,934438583
0,934438583
0,926204819
0,929003021
0,927756654
0,923664122
0,925784239
0,914681015
0,914020139
0,921875
0,929133858
0,936507937
0,944
0,953920776
0,958230958
0,956738769
0,953586498
0,955631399
0,963855422
0,973066898
0,984182777
0,984915705
0,992844365
0,989208633
0,976491863
0,97538742
0,966850829
0,974025974
0,986046512
0,986046512
0,986964618
0,979477612
0,980392157
0,979477612
0,976744186
0,973123262
0,968634686
0,965073529
0,963302752
0,972477064
0,981651376
0,974264706
0,968634686
0,962072155
0,955473098
0,950605778
0,947467167
0,934844193
0,929791271
0,920303605
0,918560606
0,909090909
0,909090909
0,908230842
0,909090909
0,910815939
0,910815939
0,909952607
0,91769158
0,926275992




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=19084&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=19084&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19084&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.557421353795733
Exact Logistic (lambda=0)0.943502832922418
Approx. Normal (lambda=0.14)0.962327799812157
U-shaped (lambda=0.5)0.985092130193698
Exactly Uniform (lambda=1)0.99267947685756

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.557421353795733 \tabularnewline
Exact Logistic (lambda=0) & 0.943502832922418 \tabularnewline
Approx. Normal (lambda=0.14) & 0.962327799812157 \tabularnewline
U-shaped (lambda=0.5) & 0.985092130193698 \tabularnewline
Exactly Uniform (lambda=1) & 0.99267947685756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19084&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]0.557421353795733[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.943502832922418[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.962327799812157[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.985092130193698[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.99267947685756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19084&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19084&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)0.557421353795733
Exact Logistic (lambda=0)0.943502832922418
Approx. Normal (lambda=0.14)0.962327799812157
U-shaped (lambda=0.5)0.985092130193698
Exactly Uniform (lambda=1)0.99267947685756



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')