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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 computationFri, 13 Nov 2009 12:43:52 -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/13/t1258141454reoo1otwtzj1ct7.htm/, Retrieved Sun, 05 May 2024 17:53:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57055, Retrieved Sun, 05 May 2024 17:53:49 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117
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]
- R  D  [Tukey lambda PPCC Plot] [] [2009-11-11 15:58:18] [74be16979710d4c4e7c6647856088456]
-    D      [Tukey lambda PPCC Plot] [] [2009-11-13 19:43:52] [f066b5fba39549422fd1c7a1f2ce0075] [Current]
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Dataseries X:
153,24
184,48
191,81
168,19
163,81
190,57
163,81
129,62
173,90
198,76
135,52
179,81
137,05
142,57
187,52
220,48
208,76
210,19
232,57
173,81
218,86
226,76
196,67
237,43
173,14
207,62
234,67
204,10
230,76
210,19
194,76
172,10
221,90
225,24
228,00
198,76
199,05
235,43
270,76
234,10
237,24
239,43
239,24
197,33
217,43
242,19
207,52
232,76
222,10
202,48
228,10
319,52
236,95
252,00
262,29
172,10
243,90
235,62
216,95
236,29




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=57055&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=57055&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57055&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)0.753224288748465
Exact Logistic (lambda=0)0.983890431283266
Approx. Normal (lambda=0.14)0.982537758927804
U-shaped (lambda=0.5)0.969626680524848
Exactly Uniform (lambda=1)0.955765352041405

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.753224288748465 \tabularnewline
Exact Logistic (lambda=0) & 0.983890431283266 \tabularnewline
Approx. Normal (lambda=0.14) & 0.982537758927804 \tabularnewline
U-shaped (lambda=0.5) & 0.969626680524848 \tabularnewline
Exactly Uniform (lambda=1) & 0.955765352041405 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57055&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]0.753224288748465[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.983890431283266[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.982537758927804[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.969626680524848[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.955765352041405[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57055&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57055&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)0.753224288748465
Exact Logistic (lambda=0)0.983890431283266
Approx. Normal (lambda=0.14)0.982537758927804
U-shaped (lambda=0.5)0.969626680524848
Exactly Uniform (lambda=1)0.955765352041405



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')