Free Statistics

of Irreproducible Research!

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, 10 Dec 2014 14:01:07 +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/2014/Dec/10/t1418220277utbe49ba0qqgu6x.htm/, Retrieved Sun, 19 May 2024 14:07:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265219, Retrieved Sun, 19 May 2024 14:07:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59
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]
- RM D    [Tukey lambda PPCC Plot] [PPCC plot - tukey...] [2014-12-10 14:01:07] [8d9a76f7eb5407bb245b7faf6d068dcd] [Current]
Feedback Forum

Post a new message
Dataseries X:
18
23
22
22
19
25
28
16
28
21
22
24
24
26
28
24
20
26
21
28
27
23
24
24
22
21
25
20
21
26
23
21
27
25
23
25
23
19
22
24
19
21
27
25
25
23
17
28
25
20
25
21
24
28
20
19
24
21
24
23
18
27
25
20
21
23
27
24
27
24
23
24
21
23
27
25
19
24
25
23
23
25
26
26
16
23
26
25
23
26
22
20
27
20
22
24
21
24
26
24
24
27
25
27
19
22
22
25
23
24
24
23
22
24
19
25
26
18
24
28
23
19
19
27
24
26
21
25
28
19
20
26
27
23
18
23
21
23
22
21
14
24
26
24
22
20
20
18
18
25
28
23
20
22
27
24
23
20
22
21
24
26
24
18
17
23
21
21
24
22
24
24
24
23
21
24
19
19
23
25
24
21
18
23
20
23
23
23
23
27
19
25
25
21
25
17
22
23
27
27
5
19
24
23
28
25
27
16
25
26
24
23
24
27
25
19
19
24
20
21
28
26
19
23
23
21
26
25
25
24
23
22
27
26
23
22
26
22
17
25
22
28
22
21
24
26
26
24
27
22
23
22
23
15
20
22
25
27
24
21
17
26
20
22
24
23
22
28
21
24
28
25
24
24
21
20
26
16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265219&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265219&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265219&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 time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.54840397875039
Exact Logistic (lambda=0)0.968740550567186
Approx. Normal (lambda=0.14)0.969066615824699
U-shaped (lambda=0.5)0.956734811470797
Exactly Uniform (lambda=1)0.943065150011056

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.54840397875039 \tabularnewline
Exact Logistic (lambda=0) & 0.968740550567186 \tabularnewline
Approx. Normal (lambda=0.14) & 0.969066615824699 \tabularnewline
U-shaped (lambda=0.5) & 0.956734811470797 \tabularnewline
Exactly Uniform (lambda=1) & 0.943065150011056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265219&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]0.54840397875039[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.968740550567186[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.969066615824699[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.956734811470797[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.943065150011056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265219&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265219&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)0.54840397875039
Exact Logistic (lambda=0)0.968740550567186
Approx. Normal (lambda=0.14)0.969066615824699
U-shaped (lambda=0.5)0.956734811470797
Exactly Uniform (lambda=1)0.943065150011056



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')