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Description of Statistical Computation

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 computationTue, 22 Oct 2013 06:03:01 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/22/t1382436195l2sp0fy6uxrj5xf.htm/, Retrieved Wed, 11 Feb 2026 16:32:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=218043, Retrieved Wed, 11 Feb 2026 16:32:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact362

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Tukey lambda PPCC Plot] [Intrinsic Motivat...] [2010-10-12 12:09:04] [b98453cac15ba1066b407e146608df68]
- R  D    [Tukey lambda PPCC Plot] [WS3.3 - I3.3] [2013-10-22 10:03:01] [38144ba7d4215ff1336c69b1a02252e0] [Current]
-    D      [Tukey lambda PPCC Plot] [WS3.3 - E1.3] [2013-10-22 10:03:53] [31634b7e94db88df109226f71dc63e83]
-    D        [Tukey lambda PPCC Plot] [WS3.3 - E2.3] [2013-10-22 10:05:10] [31634b7e94db88df109226f71dc63e83]
-    D          [Tukey lambda PPCC Plot] [WS3.3 - E3.3] [2013-10-22 10:06:21] [31634b7e94db88df109226f71dc63e83]
-    D            [Tukey lambda PPCC Plot] [WS3.3 - D.3] [2013-10-22 10:07:13] [31634b7e94db88df109226f71dc63e83]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21
15
18
11
8
19
4
20
16
14
10
13
14
8
23
11
9
24
5
15
5
19
6
13
11
17
17
5
9
15
17
17
20
12
7
16
7
14
24
15
15
10
14
18
12
9
9
8
18
10
17
14
16
10
19
10
14
10
4
19
9
12
16
11
18
11
24
17
18
9
19
18
12
23
22
14
14
16
23
7
10
12
12
12
17
21
16
11
14
13
9
19
13
19
13
13
13
14
12
22
11
5
18
19
14
15
12
19
15
17
8
10
12
12
20
12
12
14
6
10
18
18
7
18
9
17
22
11
15
17
15
22
9
13
20
14
14
12
20
20
8
17
9
18
22
10
13
15
18
18
12
12
20
12
16
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18
16
13
17
13
17

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=218043&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]2 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=218043&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=218043&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.518871720339169
Exact Logistic (lambda=0)0.98552599432662
Approx. Normal (lambda=0.14)0.994395269862472
U-shaped (lambda=0.5)0.99470108646308
Exactly Uniform (lambda=1)0.986822832768485

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.518871720339169 \tabularnewline
Exact Logistic (lambda=0) & 0.98552599432662 \tabularnewline
Approx. Normal (lambda=0.14) & 0.994395269862472 \tabularnewline
U-shaped (lambda=0.5) & 0.99470108646308 \tabularnewline
Exactly Uniform (lambda=1) & 0.986822832768485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=218043&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]0.518871720339169[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.98552599432662[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.994395269862472[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.99470108646308[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.986822832768485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=218043&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=218043&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.518871720339169
Exact Logistic (lambda=0)0.98552599432662
Approx. Normal (lambda=0.14)0.994395269862472
U-shaped (lambda=0.5)0.99470108646308
Exactly Uniform (lambda=1)0.986822832768485


Figures (Output of Computation)

Input Parameters & R Code

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')