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 computationTue, 28 Oct 2008 01:18:51 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/28/t1225178412k6ls9c82r9u9823.htm/, Retrieved Sat, 18 May 2024 23:24:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19746, Retrieved Sat, 18 May 2024 23:24:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Investigating dis...] [2007-10-22 19:59:15] [b9964c45117f7aac638ab9056d451faa]
F    D  [Tukey lambda PPCC Plot] [Investigating Dis...] [2008-10-26 22:48:38] [33f4701c7363e8b81858dafbf0350eed]
F    D      [Tukey lambda PPCC Plot] [Q8] [2008-10-28 07:18:51] [77ff908fa699164c8765f2430a4f222b] [Current]
Feedback Forum
2008-11-03 10:19:35 [Steffi Van Isveldt] [reply] 
De correlatie is hier inderdaad het grootst bij lambda gelijk aan 1. Het gaat hier dus niet om een normaalverdeling. Deze hebben we nodig om correcte uitspraken te kunnen doen over de populatie.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.934438583
0.934438583
0.926204819
0.929003021
0.927756654
0.923664122
0.925784239
0.914681015
0.914020139
0.921875
0.929133858
0.936507937
0.944
0.953920776
0.958230958
0.956738769
0.953586498
0.955631399
0.963855422
0.973066898
0.984182777
0.984915705
0.992844365
0.989208633
0.976491863
0.97538742
0.966850829
0.974025974
0.986046512
0.986046512
0.986964618
0.979477612
0.980392157
0.979477612
0.976744186
0.973123262
0.968634686
0.965073529
0.963302752
0.972477064
0.981651376
0.974264706
0.968634686
0.962072155
0.955473098
0.950605778
0.947467167
0.934844193
0.929791271
0.920303605
0.918560606
0.909090909
0.909090909
0.908230842
0.909090909
0.910815939
0.910815939
0.909952607
0.91769158
0.926275992

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 7 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19746&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19746&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19746&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 time7 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.557421353795733
Exact Logistic (lambda=0)0.943502832922418
Approx. Normal (lambda=0.14)0.962327799812157
U-shaped (lambda=0.5)0.985092130193698
Exactly Uniform (lambda=1)0.992679476857561

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.557421353795733 \tabularnewline
Exact Logistic (lambda=0) & 0.943502832922418 \tabularnewline
Approx. Normal (lambda=0.14) & 0.962327799812157 \tabularnewline
U-shaped (lambda=0.5) & 0.985092130193698 \tabularnewline
Exactly Uniform (lambda=1) & 0.992679476857561 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19746&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]0.557421353795733[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.943502832922418[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.962327799812157[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.985092130193698[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.992679476857561[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19746&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19746&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)0.557421353795733
Exact Logistic (lambda=0)0.943502832922418
Approx. Normal (lambda=0.14)0.962327799812157
U-shaped (lambda=0.5)0.985092130193698
Exactly Uniform (lambda=1)0.992679476857561


Figures (Output of Computation)

Input Parameters & R Code

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')