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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 computationThu, 18 Dec 2014 14:23:13 +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/2014/Dec/18/t1418912601do35s4lifscy642.htm/, Retrieved Fri, 17 May 2024 12:24:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270982, Retrieved Fri, 17 May 2024 12:24:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Tukey lambda PPCC Plot] [E2: Extrinsic mot...] [2014-12-18 14:23:13] [f02c6c9412fee5ce04bac553459224aa] [Current]
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Dataseries X:
11
20
22
19
8
15
14
21
18
18
17
20
24
22
15
22
26
17
23
23
16
13
18
21
23
16
17
20
18
20
19
26
9
23
9
13
22
12
18
17
22
19
17
18
24
20
18
25
16
23
24
26
21
23
28
24
22
28
18
23
15
24
18
20
20
25
25
14
16
24
13
19
18
16
8
27
23
20
20
26
23
24
21
22
25
14
5
25
21
9
15
23
21
9
24
16
20
15
18
21
21
21
20
24
15
24
18
24
24
15
20
26
26
18
23
13
16
19
22
21
11
23
18
19
15
21
25
12
24
19
21
19
18
23
23
27
6
22
23
20
23
27
24
12
16
24
24
19
28
23
19
23
20
18
20
21
25
18
28
9
26
22
12
12
20
25
24
23
22
28
15
21
22
17
20
24
17
19
24
23
24
23
25
21
19
8
20
22
17
19
26
13
20
21
24
16
18
17
23
27
22
25
22
23
8
24
17
25
20
20
24
22
16
28
22
19
28
16
19
15
23
21
20
23
22
21
23
22
21
26
16
28
16
18
22
25
23
24
22
24
24
24
25
27
17
21
24
27
12
24
20
22
23
22
20
18
19
25
23
16
26
25
23
24
26
20
24
14
28
25
19
22
21
21
23
16
15
24
25
23
19
24
14
20
23
12
22
18
21
23
22
28
20
22
24
19
9
23
23
22
23
17
23
19
15
22
25
27
16
22
27
28
22
25
25
24
21
18
17
17
26
25
22
24
20
26
23
24
21
19
22
22
26
25
14
21
21
18
25
20
21
22
15
21
25
16
17
23
19
24
19
12
16
17
20
19
20
20
24
28
24
14
22
18
23
13
20
24
24
27
14
21
23
25
20
26
22
24
21
13
21




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' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270982&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270982&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270982&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.435262721013385
Exact Logistic (lambda=0)0.972705736561007
Approx. Normal (lambda=0.14)0.976823551216306
U-shaped (lambda=0.5)0.967819562652288
Exactly Uniform (lambda=1)0.954580009824661

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.435262721013385 \tabularnewline
Exact Logistic (lambda=0) & 0.972705736561007 \tabularnewline
Approx. Normal (lambda=0.14) & 0.976823551216306 \tabularnewline
U-shaped (lambda=0.5) & 0.967819562652288 \tabularnewline
Exactly Uniform (lambda=1) & 0.954580009824661 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270982&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]0.435262721013385[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.972705736561007[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.976823551216306[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.967819562652288[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.954580009824661[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270982&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270982&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)0.435262721013385
Exact Logistic (lambda=0)0.972705736561007
Approx. Normal (lambda=0.14)0.976823551216306
U-shaped (lambda=0.5)0.967819562652288
Exactly Uniform (lambda=1)0.954580009824661



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')