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Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareTukey lambda PPCC Plot
Date of computationTue, 16 Oct 2012 09:58:29 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/16/t1350395927d8ys8tfcsa9xtp1.htm/, Retrieved Tue, 30 Apr 2024 08:30:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=178829, Retrieved Tue, 30 Apr 2024 08:30:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67
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]
- R PD  [Tukey lambda PPCC Plot] [] [2011-10-19 00:32:02] [bdca8f3e7c3554be8c1291e54f61d441]
-  M        [Tukey lambda PPCC Plot] [WS3, Task 2(c)] [2012-10-16 13:58:29] [fe5ec8748c528a1557751a5a0f6a19ab] [Current]
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Dataseries X:
6
4
6
4
2
5
1
6
3
4
3
2
4
3
5
3
3
6
1
1
1
5
2
3
3
5
5
1
2
3
5
3
5
3
2
4
3
3
6
6
3
3
4
4
2
2
3
2
5
5
6
3
3
2
5
2
4
4
1
6
2
3
4
3
4
3
6
4
5
3
4
3
3
6
6
2
2
6
5
1
2
5
3
3
4
6
4
2
4
4
2
4
3
6
4
4
3
3
3
4
2
2
3
3
4
4
2
5
5
4
4
3
4
4
5
4
5
3
2
1
5
5
3
4
4
5
5
3
4
6
4
5
4
4
5
4
3
3
6
5
2
4
3
3
5
3
3
4
5
5
5
5
3
4
4
3
4
4
3
2
4
4
6
4
2
2
2
5
1
4
5
4
1
2
4
2
6
3
2
6
2
6
1
4
1
4
2
5
5
1
1
4
4
5
5
3
1
5
2
3
6
4
4
2
3
5
5
2
2
1
4
1
4
4
5
4
5
2
3
2
1
5
2
3
4
2
5
2
6
5
4
2
4
5
4
6
6
4
4
3
6
2
2
2
3
2
4
5
4
3
4
3
2
5
3
5
3
3
4
3
3
6
3
1
5
6
4
4
5
4
4
3
1
2
3
2
5
2
2
4
2
3
4
3
1
5
1
4
5
3
4
3
3
6
2
4
5
4
4
3
4
5
3
5
2
6
6
2
3
4
4
4
4
3
7
4
4
4
4
4
3
5
3
5
5
5
5
6
6
5
5
6
7
6
7
6
6
6
6
6
7
7
7
6
5
7
5
7
6
2
2
7
4
4
5
5
4
7
7
4
7
4
6
6
6
6
6
7
6
6
4
7
6
7
6
7
7
2
6
6
5
6
6
6
6
6
4
3
4
7
6
6
7
7
7
5
6
3
6
5
5
6
6
4
4
5
6
5
5
6
7
5
7
7
2
5
4
7
6
7
5
5
4
7
5
4
6
6
5
5
3
5
6
6
7
7
5
5
6
4
7
5
6
7
7
6
6
4
7
6
5
6
5
5
6
6
4
6
7
6
7
7
6
5
5
5
7
3
6
5
7
4
6
4
6
7
4
6
7
5
6
4
4
6
4
3
5
4
5
6
5
7
7
6
7
6
7
5
3
2
7
5
5
6
7
6
5
7
5
5
6
7
7
2
6
6
7
6
6
4
6
6
7
5
7
6
5
6
7
6
6
6
3
6
4
6
4
3
7
4
7
5
5
4
6
6
7
5
4
7
4
7
6
6
6
5
5
6
5
6
6
5
5
6
7
5
7
2
5
6
7
7
5
5
1
6
5
6
7
6
6
5
6
5
6
6
6
5
5
6
6
5
6
6
1
7
7
6
4
5
6
3
7
6
6
6
5
6
6
3
7
5
6
5
5
6
5
6
5
3
7
3
7
5
6
6
4
6
7
4
6
5
6
4
5
5
5
6
7
7
6
6
5
7
7
6
4
5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=178829&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=178829&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178829&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.295153341064432
Exact Logistic (lambda=0)0.951780857420406
Approx. Normal (lambda=0.14)0.96768806793205
U-shaped (lambda=0.5)0.977252664681302
Exactly Uniform (lambda=1)0.974130825757892

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.295153341064432 \tabularnewline
Exact Logistic (lambda=0) & 0.951780857420406 \tabularnewline
Approx. Normal (lambda=0.14) & 0.96768806793205 \tabularnewline
U-shaped (lambda=0.5) & 0.977252664681302 \tabularnewline
Exactly Uniform (lambda=1) & 0.974130825757892 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=178829&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]0.295153341064432[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.951780857420406[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.96768806793205[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.977252664681302[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.974130825757892[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=178829&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178829&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)0.295153341064432
Exact Logistic (lambda=0)0.951780857420406
Approx. Normal (lambda=0.14)0.96768806793205
U-shaped (lambda=0.5)0.977252664681302
Exactly Uniform (lambda=1)0.974130825757892



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')