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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 05:49:17 -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/t125794382260m21gfsxor2ugo.htm/, Retrieved Sat, 27 Apr 2024 02:47:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55544, Retrieved Sat, 27 Apr 2024 02:47:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
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] [Tukey lambda PPCC...] [2009-11-11 12:49:17] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D      [Tukey lambda PPCC Plot] [Tukey lambda PPCC...] [2009-12-20 17:10:56] [78314577b456b570897d62c50cdb18d4]
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Dataseries X:
97.9
96.6
96.2
95.8
96
96.2
96.5
95.4
96.2
96.8
97
97.1
96.6
95.8
96.2
96
95.9
95.8
96
96.2
96.8
96.9
97.2
98.9
98.9
98.8
99
99.6
99.9
100.1
99.9
100.5
100.7
101.3
101.3
101.7
103
104.7
104.5
104.6
104.2
104.5
104.8
104.7
104.6
104.5
104.7
104.8
106.2
105.6
104.5
104.2
104.1
103.3
103.8
103.3
103.7
103.5
103.7
103.4
102.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55544&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55544&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.525089458624356
Exact Logistic (lambda=0)0.914353487957171
Approx. Normal (lambda=0.14)0.936169551698582
U-shaped (lambda=0.5)0.965799193345198
Exactly Uniform (lambda=1)0.979028317075822

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.525089458624356 \tabularnewline
Exact Logistic (lambda=0) & 0.914353487957171 \tabularnewline
Approx. Normal (lambda=0.14) & 0.936169551698582 \tabularnewline
U-shaped (lambda=0.5) & 0.965799193345198 \tabularnewline
Exactly Uniform (lambda=1) & 0.979028317075822 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55544&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]0.525089458624356[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.914353487957171[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.936169551698582[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.965799193345198[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.979028317075822[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55544&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)0.525089458624356
Exact Logistic (lambda=0)0.914353487957171
Approx. Normal (lambda=0.14)0.936169551698582
U-shaped (lambda=0.5)0.965799193345198
Exactly Uniform (lambda=1)0.979028317075822



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')