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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 14:17:46 +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/t1418912274626logqb8b3qe5t.htm/, Retrieved Sun, 19 May 2024 18:06:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270974, Retrieved Sun, 19 May 2024 18:06:12 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Tukey lambda PPCC Plot] [I3: Intrinsic mot...] [2014-12-18 14:17:46] [f02c6c9412fee5ce04bac553459224aa] [Current]
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Dataseries X:
12
17
21
10
22
19
19
9
11
17
10
17
13
11
19
21
24
13
16
15
13
12
8
17
9
18
17
17
18
12
14
22
19
21
10
16
15
12
21
20
9
14
9
18
12
11
14
11
11
13
12
23
11
19
19
13
23
13
17
13
8
16
14
7
17
19
12
12
18
16
15
20
16
12
10
28
19
18
19
8
17
16
18
17
13
15
4
9
18
12
16
17
14
13
20
16
15
10
16
15
16
19
9
19
7
23
14
10
16
12
7
20
9
14
12
10
19
16
11
15
14
11
14
15
7
22
11
12
17
13
15
11
7
13
7
11
22
15
15
11
10
18
14
16
8
16
17
14
10
16
16
17
12
17
11
12
8
17
17
7
18
13
14
13
19
15
15
8
11
17
12
10
21
17
20
19
17
18
13
11
9
8
15
10
12
10
17
16
13
16
18
16
15
20
19
11
13
14
16
16
9
11
16
15
13
12
16
23
19
9
16
19
8
20
19
10
15
13
18
10
20
10
12
16
19
9
15
14
17
14
11
25
15
24
16
13
14
12
14
16
19
17
20
19
14
14
16
22
7
22
13
11
19
14
15
19
22
18
18
13
6
10
12
10
13
15
8
4
4
9
12
6
11
10
16
12
12
11
14
11
19
16
21
16
11
12
8
9
14
13
7
17
8
9
15
11
20
13
7
8
15
19
5
11
8
19
14
24
12
10
22
18
10
20
17
17
10
15
14
8
17
16
13
14
6
18
16
24
17
16
18
5
10
17
12
22
19
6
7
15
10
18
19
12
16
12
16
12
15
17
14
4
11
7
18
14
11
18
16
11
19
20
17
12
10
9
16
8
11
11
6
16
14
16
11
17
16
18
15
15
15




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270974&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270974&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270974&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'George Udny Yule' @ yule.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.444082067489005
Exact Logistic (lambda=0)0.989001904003356
Approx. Normal (lambda=0.14)0.995659216522285
U-shaped (lambda=0.5)0.991707539961641
Exactly Uniform (lambda=1)0.981968531472543

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.444082067489005 \tabularnewline
Exact Logistic (lambda=0) & 0.989001904003356 \tabularnewline
Approx. Normal (lambda=0.14) & 0.995659216522285 \tabularnewline
U-shaped (lambda=0.5) & 0.991707539961641 \tabularnewline
Exactly Uniform (lambda=1) & 0.981968531472543 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270974&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]0.444082067489005[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.989001904003356[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.995659216522285[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.991707539961641[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.981968531472543[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270974&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270974&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)0.444082067489005
Exact Logistic (lambda=0)0.989001904003356
Approx. Normal (lambda=0.14)0.995659216522285
U-shaped (lambda=0.5)0.991707539961641
Exactly Uniform (lambda=1)0.981968531472543



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')