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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, 23 Dec 2009 09:39:04 -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/Dec/23/t1261586407tk6bfkfzw4dwnjd.htm/, Retrieved Mon, 29 Apr 2024 10:16:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70555, Retrieved Mon, 29 Apr 2024 10:16:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
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] [Workshop 6: PPCC] [2009-12-23 16:39:04] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
106.5789
101.3158
98.68421
100
102.6316
102.6316
102.6316
98.68421
98.68421
93.42105
98.68421
98.68421
100
101.3158
101.3158
103.9474
106.5789
107.8947
107.8947
107.8947
103.9474
96.05263
90.78947
86.84211
88.15789
90.78947
92.10526
93.42105
94.73684
93.42105
90.78947
92.10526
89.47368
84.21053
88.15789
86.84211
84.21053
82.89474
81.57895
85.52632
89.47368
89.47368
84.21053
80.26316
76.31579
80.26316
94.73684
96.05263
90.78947
80.26316
76.31579
81.57895
93.42105
101.3158
103.9474
101.3158
97.36842
98.68421
105.2632
106.5789




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70555&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]5 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=70555&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70555&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 time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.620060031907807
Exact Logistic (lambda=0)0.9713835151339
Approx. Normal (lambda=0.14)0.983437842030358
U-shaped (lambda=0.5)0.992968297362166
Exactly Uniform (lambda=1)0.991445409221422

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.620060031907807 \tabularnewline
Exact Logistic (lambda=0) & 0.9713835151339 \tabularnewline
Approx. Normal (lambda=0.14) & 0.983437842030358 \tabularnewline
U-shaped (lambda=0.5) & 0.992968297362166 \tabularnewline
Exactly Uniform (lambda=1) & 0.991445409221422 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70555&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]0.620060031907807[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.9713835151339[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.983437842030358[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.992968297362166[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.991445409221422[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70555&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70555&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)0.620060031907807
Exact Logistic (lambda=0)0.9713835151339
Approx. Normal (lambda=0.14)0.983437842030358
U-shaped (lambda=0.5)0.992968297362166
Exactly Uniform (lambda=1)0.991445409221422



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')