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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 computationMon, 18 Dec 2017 09:18:35 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/18/t15135851374oj051pplpjm7g7.htm/, Retrieved Tue, 14 May 2024 02:49:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=310087, Retrieved Tue, 14 May 2024 02:49:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Tukey lambda PPCC Plot] [] [2017-12-18 08:18:35] [de41148bc22dc60de494a82836f9abe5] [Current]
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Dataseries X:
14
21
20
20
20
18
18
17
15
18
16
17
19
21
15
21
16
18
18
17
18
16
15
15
19
14
19
19
15
17
21
13
12
15
19
19
14
18
11
17
18
13
12
17
20
16
22
16
23
20
23
13
18
18
17
17
18
21
13
19
16
17
18
18
12
19
16
20
21
18
13
17
20
21
19
15
14
15
16
19
17
17
15
19
21
19
18
18
15
19
19
18
20
18
12
15
17
15
17
20
11
14
14
12
19
22
16
15
15
18
12
17
10
10
18
16
22
12
10
20
20
19
10
13
15
19
17
15
12
14
13
15
20
12
16
15
17
15
12
17
11
16
16
15
17
7
14
21
20
15
13
20
15
16
19
16
19
17
19
14
16
16
14
11
17
20
20
17
13
20
17
16
19
20
17
14
20
19
18
17
17
10
12
19
19
21
21
17
19
21
15
14
15
13
14
14
19
17
19
18
21
12
15
19
16
19
16
18
18
15
15
11
18
13
9
21
19
13
15
18
16
10
12
18
17
15
16
19
15
24
15
14
16
16
20
20
20
20
14
22
16
9
14
11
23
10
10
8
21
18
15
20
17
5
14
19
15
12
10
11
15
15
20
20
20
19
16
21
22
17
21
19
23
21
22
11
20
18
16
18
13
17
20
20
15
18
15
19
19
19
20
20
16
18
17
18
13
20
21
17
19
20
15
15
19
18
22
20
18
14
15
17
16
17
15
17
18
16
18
22
16
16
20
18
16
16
20
21
18
15
18
18
20
18
16
19
20
22
18
8
13
13
18
12
16
21
20
18
22
23
23
21
16
14
18
22
20
18
12
17
15
18
18
15
16
15
16
19
19
23
20
18
21
19
18
19
17
21
19
24
12
15
18
19
22
19
16
19
18
18
19
21
19
22
23
17
18
19
15
14
18
17
19
16
14
20
16
18
16
21
16
14
16
19
19
19
18
16
14
19
11
18
18
16
20
18
20
16
18
19
19
15
17
21
24
16
13
21
16
17
17
18
18
23
20
20




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310087&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=310087&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310087&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 Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.443511070648595
Exact Logistic (lambda=0)0.984070570007295
Approx. Normal (lambda=0.14)0.987286120374313
U-shaped (lambda=0.5)0.977429702484177
Exactly Uniform (lambda=1)0.96425141052795

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.443511070648595 \tabularnewline
Exact Logistic (lambda=0) & 0.984070570007295 \tabularnewline
Approx. Normal (lambda=0.14) & 0.987286120374313 \tabularnewline
U-shaped (lambda=0.5) & 0.977429702484177 \tabularnewline
Exactly Uniform (lambda=1) & 0.96425141052795 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310087&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]0.443511070648595[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.984070570007295[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.987286120374313[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.977429702484177[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.96425141052795[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310087&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310087&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)0.443511070648595
Exact Logistic (lambda=0)0.984070570007295
Approx. Normal (lambda=0.14)0.987286120374313
U-shaped (lambda=0.5)0.977429702484177
Exactly Uniform (lambda=1)0.96425141052795



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')