FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

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 computationMon, 15 Nov 2010 21:53:16 +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/2010/Nov/15/t1289857906ht5s2rjuvne1jh1.htm/, Retrieved Sat, 27 Apr 2024 16:21:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=95113, Retrieved Sat, 27 Apr 2024 16:21:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

Tree of Dependent Computations

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]
-   PD  [Tukey lambda PPCC Plot] [Tukey Lambda PPCC...] [2010-11-15 21:34:49] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D    [Tukey lambda PPCC Plot] [Tukey Lambda PPCC...] [2010-11-15 21:42:31] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D        [Tukey lambda PPCC Plot] [Tukey Lambda PPCC...] [2010-11-15 21:53:16] [9ea95e194e0eb2a674315798620d5bc6] [Current]
-    D          [Tukey lambda PPCC Plot] [Tukey Lambda PPCC...] [2010-11-15 21:54:43] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13
13
16
12
11
12
18
11
14
9
14
12
11
12
13
11
12
16
9
11
13
15
10
11
13
16
15
14
14
14
8
13
15
13
11
15
15
9
13
16
13
11
12
12
12
14
14
8
13
16
13
11
14
13
13
13
12
16
15
15
12
14
12
15
12
13
12
12
13
5
13
13
14
17
13
13
12
13
14
11
12
12
16
12
12
12
10
15
15
12
16
15
16
13
12
11
13
10
15
13
16
15
18
13
10
16
13
15
14
15
14
13
13
15
16
14
14
16
14
12
13
12
12
14
14
14
16
13
14
4
16
13
16
15
14
13
14
12
15
14
13
14
16
6
13
13
14
15
14
15
13
16
12
15
12
14

Tables (Output of Computation)





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=95113&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=95113&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95113&T=0

As an alternative you can also use a QR Code:  
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)0.648597083486022
Exact Logistic (lambda=0)0.965502258599395
Approx. Normal (lambda=0.14)0.958598042706424
U-shaped (lambda=0.5)0.934485787952599
Exactly Uniform (lambda=1)0.914225852135359

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.648597083486022 \tabularnewline
Exact Logistic (lambda=0) & 0.965502258599395 \tabularnewline
Approx. Normal (lambda=0.14) & 0.958598042706424 \tabularnewline
U-shaped (lambda=0.5) & 0.934485787952599 \tabularnewline
Exactly Uniform (lambda=1) & 0.914225852135359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95113&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]0.648597083486022[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.965502258599395[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.958598042706424[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.934485787952599[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.914225852135359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95113&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95113&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.648597083486022
Exact Logistic (lambda=0)0.965502258599395
Approx. Normal (lambda=0.14)0.958598042706424
U-shaped (lambda=0.5)0.934485787952599
Exactly Uniform (lambda=1)0.914225852135359


Figures (Output of Computation)

Input Parameters & R Code

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')