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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 computationWed, 11 Nov 2009 09:08:53 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/11/t12579558874nqxbcq9zbpt64i.htm/, Retrieved Fri, 26 Apr 2024 16:33:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55733, Retrieved Fri, 26 Apr 2024 16:33:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact224
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Tukey lambda PPCC Plot] [3/11/2009] [2009-11-02 22:14:51] [b98453cac15ba1066b407e146608df68]
-    D  [Tukey lambda PPCC Plot] [SHW WS6 - Tukey l...] [2009-11-05 10:51:13] [253127ae8da904b75450fbd69fe4eb21]
-    D      [Tukey lambda PPCC Plot] [Workshop 6] [2009-11-11 16:08:53] [aef022288383377281176d9807aba5bf] [Current]
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Dataseries X:
101
100.88
100.55
100.83
101.51
102.16
102.39
102.54
102.85
103.47
103.57
103.69
103.5
103.47
103.45
103.48
103.93
103.89
104.4
104.79
104.77
105.13
105.26
104.96
104.75
105.01
105.15
105.2
105.77
105.78
106.26
106.13
106.12
106.57
106.44
106.54
107.1
108.1
108.4
108.84
109.62
110.42
110.67
111.66
112.28
112.87
112.18
112.36
112.16
111.49
111.25
111.36
111.74
111.1
111.33
111.25
111.04
110.97
111.31
111.02




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55733&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55733&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55733&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.574686010333812
Exact Logistic (lambda=0)0.944712855501597
Approx. Normal (lambda=0.14)0.961156634320267
U-shaped (lambda=0.5)0.979512498786387
Exactly Uniform (lambda=1)0.98424816639795

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.574686010333812 \tabularnewline
Exact Logistic (lambda=0) & 0.944712855501597 \tabularnewline
Approx. Normal (lambda=0.14) & 0.961156634320267 \tabularnewline
U-shaped (lambda=0.5) & 0.979512498786387 \tabularnewline
Exactly Uniform (lambda=1) & 0.98424816639795 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55733&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]0.574686010333812[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.944712855501597[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.961156634320267[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.979512498786387[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.98424816639795[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55733&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55733&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)0.574686010333812
Exact Logistic (lambda=0)0.944712855501597
Approx. Normal (lambda=0.14)0.961156634320267
U-shaped (lambda=0.5)0.979512498786387
Exactly Uniform (lambda=1)0.98424816639795



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')