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, 02 Dec 2015 21:04:42 +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/2015/Dec/02/t1449090319zzz69hnfagwjgea.htm/, Retrieved Fri, 17 May 2024 17:41:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=284889, Retrieved Fri, 17 May 2024 17:41:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Mediaan jongens j...] [2015-11-24 15:02:15] [3efa57ff15e83e76cb0b470e6a680ee8]
- RM D    [Tukey lambda PPCC Plot] [Tukey Lambda jongens] [2015-12-02 21:04:42] [18106851e169be8e7181c7a62bb5da83] [Current]
Feedback Forum

Post a new message
Dataseries X:
12.9
12.8
7.4
6.7
14.8
13.3
11.1
8.2
11.4
6.4
11.3
10
6.4
10.8
13.8
11.7
13.4
11.7
9
9.7
10.8
12.7
11.8
5.9
11.4
13
11.3
6.7
12.1
13.3
5.7
13.3
7.6
11.1
13
9.9
11.1
4.35
12.7
18.1
12.6
19.1
18.4
14.7
10.6
12.6
16.2
18.9
14.1
16.15
14.75
14.8
12.45
12.65
17.35
18.4
11.6
17.75
15.25
17.65
14.75
9.9
16
13.85
17.1
14.6
15.4
17.6
13.9
16.25
15.65
14.6
11.2
16.35
15.85
7.65
12.35
15.6
13.1
12.85
9.5
11.85
13.6
17.6
16.1
13.35
15.15




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284889&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284889&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284889&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.620461665050642
Exact Logistic (lambda=0)0.984180420025032
Approx. Normal (lambda=0.14)0.990107347465242
U-shaped (lambda=0.5)0.986515777729699
Exactly Uniform (lambda=1)0.975849278585045

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.620461665050642 \tabularnewline
Exact Logistic (lambda=0) & 0.984180420025032 \tabularnewline
Approx. Normal (lambda=0.14) & 0.990107347465242 \tabularnewline
U-shaped (lambda=0.5) & 0.986515777729699 \tabularnewline
Exactly Uniform (lambda=1) & 0.975849278585045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284889&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]0.620461665050642[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.984180420025032[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.990107347465242[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.986515777729699[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.975849278585045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284889&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284889&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)0.620461665050642
Exact Logistic (lambda=0)0.984180420025032
Approx. Normal (lambda=0.14)0.990107347465242
U-shaped (lambda=0.5)0.986515777729699
Exactly Uniform (lambda=1)0.975849278585045



Parameters (Session):
par1 = 8 ; par2 = 0 ;
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')