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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 14:11:45 +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/t1418911912j9bvfqxkcpe9sy4.htm/, Retrieved Sun, 19 May 2024 19:18:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270961, Retrieved Sun, 19 May 2024 19:18:24 +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] [I1: Intrinsic mot...] [2014-12-18 14:11:45] [f02c6c9412fee5ce04bac553459224aa] [Current]
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Dataseries X:
24
22
26
11
24
28
23
19
18
23
17
15
21
20
26
19
28
21
19
20
17
20
17
21
12
23
22
22
21
20
18
21
24
22
20
17
16
19
23
22
15
21
18
23
20
21
21
22
15
19
18
20
18
22
25
23
21
19
21
16
21
22
18
4
22
17
20
18
19
20
15
24
21
19
19
27
23
23
20
17
21
23
22
20
16
20
6
15
18
21
23
20
20
18
25
16
20
14
22
20
17
22
22
20
17
22
17
22
21
25
19
24
17
22
22
17
26
19
20
19
21
24
21
19
13
27
22
21
22
22
21
19
11
19
21
19
8
23
17
25
24
22
23
17
24
22
21
19
19
16
23
23
20
24
25
20
23
21
23
11
27
22
16
18
23
24
20
20
14
23
16
19
22
21
20
24
17
19
22
16
20
14
18
13
17
19
22
18
21
18
22
21
15
18
23
23
19
20
24
26
23
25
19
23
24
20
22
24
20
21
27
26
17
26
23
13
23
18
21
21
22
15
18
25
23
21
23
19
22
23
15
24
23
19
23
23
16
23
19
19
22
26
22
24
21
18
19
27
14
26
20
13
26
19
21
26
25
20
21
19
27
13
17
18
20
22
18
6
22
15
17
10
21
23
18
20
27
13
20
20
22
20
24
23
19
22
24
21
19
20
16
17
25
16
23
20
23
22
15
16
23
25
14
18
15
27
22
26
25
19
19
24
19
25
20
17
13
20
20
24
25
20
20
20
11
23
19
26
26
20
23
19
23
27
16
26
26
20
12
20
18
28
24
24
24
12
23
16
18
25
18
7
19
17
20
19
10
25
23
23
23
20
24
17
21
22
14
19
21
24
11
21
22
22
19
15
20
22
20
18
20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270961&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270961&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'Herman Ole Andreas Wold' @ wold.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.484264283782326
Exact Logistic (lambda=0)0.979701540777056
Approx. Normal (lambda=0.14)0.978034581473484
U-shaped (lambda=0.5)0.96011794179778
Exactly Uniform (lambda=1)0.942312113374014

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.484264283782326 \tabularnewline
Exact Logistic (lambda=0) & 0.979701540777056 \tabularnewline
Approx. Normal (lambda=0.14) & 0.978034581473484 \tabularnewline
U-shaped (lambda=0.5) & 0.96011794179778 \tabularnewline
Exactly Uniform (lambda=1) & 0.942312113374014 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270961&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]0.484264283782326[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.979701540777056[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.978034581473484[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.96011794179778[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.942312113374014[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270961&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)0.484264283782326
Exact Logistic (lambda=0)0.979701540777056
Approx. Normal (lambda=0.14)0.978034581473484
U-shaped (lambda=0.5)0.96011794179778
Exactly Uniform (lambda=1)0.942312113374014



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')