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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, 15 Nov 2010 21:49:43 +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/2010/Nov/15/t1289857717g1evazcnx8prrlf.htm/, Retrieved Sun, 28 Apr 2024 18:19:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=95112, Retrieved Sun, 28 Apr 2024 18:19:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
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]
-   PD  [Tukey lambda PPCC Plot] [Tukey Lambda PPCC...] [2010-11-15 21:34:49] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D    [Tukey lambda PPCC Plot] [Tukey Lambda PPCC...] [2010-11-15 21:42:31] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D        [Tukey lambda PPCC Plot] [Lambda knowing pe...] [2010-11-15 21:49:43] [9ea95e194e0eb2a674315798620d5bc6] [Current]
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Dataseries X:
14
8
12
7
10
7
16
11
14
6
16
11
16
12
7
13
11
15
7
9
7
14
15
7
15
17
15
14
14
8
8
14
14
8
11
16
10
8
14
16
13
5
8
10
8
13
15
6
12
16
5
15
12
8
13
14
12
16
10
15
8
16
19
14
6
13
15
7
13
4
14
13
11
14
12
15
14
13
8
6
7
13
13
11
5
12
8
11
14
9
10
13
16
16
11
8
4
7
14
11
17
15
17
5
4
10
11
15
10
9
12
15
7
13
12
14
14
8
15
12
12
16
9
15
15
6
14
15
10
6
14
12
8
11
13
9
15
13
15
14
16
14
14
10
10
4
8
15
16
12
12
15
9
12
14
11




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95112&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95112&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95112&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'Gwilym Jenkins' @ 72.249.127.135







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.501311944473522
Exact Logistic (lambda=0)0.962130878027898
Approx. Normal (lambda=0.14)0.974693583550928
U-shaped (lambda=0.5)0.98283247629156
Exactly Uniform (lambda=1)0.9805220467025

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.501311944473522 \tabularnewline
Exact Logistic (lambda=0) & 0.962130878027898 \tabularnewline
Approx. Normal (lambda=0.14) & 0.974693583550928 \tabularnewline
U-shaped (lambda=0.5) & 0.98283247629156 \tabularnewline
Exactly Uniform (lambda=1) & 0.9805220467025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95112&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]0.501311944473522[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.962130878027898[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.974693583550928[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.98283247629156[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.9805220467025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95112&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95112&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)0.501311944473522
Exact Logistic (lambda=0)0.962130878027898
Approx. Normal (lambda=0.14)0.974693583550928
U-shaped (lambda=0.5)0.98283247629156
Exactly Uniform (lambda=1)0.9805220467025



Parameters (Session):
par1 = 8 ; par2 = 0 ;
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')