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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 14:15:23 +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/t1418912130p1ekzkizr55ld8l.htm/, Retrieved Sun, 19 May 2024 18:04:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270969, Retrieved Sun, 19 May 2024 18:04:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Tukey lambda PPCC Plot] [I2: Intrinsic mot...] [2014-12-18 14:15:23] [f02c6c9412fee5ce04bac553459224aa] [Current]
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Dataseries X:
16
16
25
12
20
19
22
12
17
18
24
18
18
23
21
21
28
17
21
18
17
18
14
20
14
17
21
23
24
21
14
24
16
21
8
17
17
16
22
21
20
8
11
15
13
18
19
22
11
14
21
21
18
21
23
20
21
18
19
18
18
19
18
11
20
20
21
12
15
18
14
18
16
19
7
21
24
21
20
22
17
19
20
20
16
17
6
22
20
17
20
23
18
13
22
20
20
13
16
16
15
19
19
24
9
22
15
22
22
24
21
25
26
19
21
14
28
16
21
16
16
25
21
22
9
24
22
10
22
21
20
17
7
14
23
18
17
20
19
19
23
20
19
16
11
21
20
20
19
19
20
22
19
23
16
18
23
20
23
13
26
19
13
10
21
24
21
23
16
26
16
20
19
18
20
24
18
15
18
18
18
19
20
11
16
15
21
19
19
17
25
14
19
20
20
18
18
19
22
24
18
22
18
21
21
20
20
24
19
16
21
22
19
23
22
15
21
16
18
20
25
18
11
17
22
20
21
22
20
21
15
28
20
19
21
20
13
19
21
21
24
23
20
24
18
17
21
27
12
24
18
18
24
18
15
22
17
20
19
19
24
7
17
23
23
21
18
4
27
18
15
14
14
17
20
16
16
11
21
10
18
18
21
16
15
17
15
12
20
20
18
21
22
21
25
12
22
24
17
20
19
25
27
17
17
24
18
27
23
21
25
18
22
24
23
24
16
16
18
17
21
15
19
18
14
20
19
22
22
20
22
21
19
24
17
22
24
20
20
19
13
22
20
21
21
15
20
23
18
23
18
10
17
13
20
18
19
21
19
22
21
20
23
18
15
19
16
17
26
23
8
19
20
21
16
17
17
18
19
19
24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270969&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270969&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'Gertrude Mary Cox' @ cox.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.478516196485986
Exact Logistic (lambda=0)0.98450088723987
Approx. Normal (lambda=0.14)0.983175768756408
U-shaped (lambda=0.5)0.965259431416162
Exactly Uniform (lambda=1)0.947043007852453

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.478516196485986 \tabularnewline
Exact Logistic (lambda=0) & 0.98450088723987 \tabularnewline
Approx. Normal (lambda=0.14) & 0.983175768756408 \tabularnewline
U-shaped (lambda=0.5) & 0.965259431416162 \tabularnewline
Exactly Uniform (lambda=1) & 0.947043007852453 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270969&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]0.478516196485986[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.98450088723987[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.983175768756408[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.965259431416162[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.947043007852453[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270969&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)0.478516196485986
Exact Logistic (lambda=0)0.98450088723987
Approx. Normal (lambda=0.14)0.983175768756408
U-shaped (lambda=0.5)0.965259431416162
Exactly Uniform (lambda=1)0.947043007852453



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')