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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 computationSun, 26 Oct 2008 13:14:19 -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/26/t1225048498827fm9yxnwr84k3.htm/, Retrieved Sun, 19 May 2024 03:04:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19033, Retrieved Sun, 19 May 2024 03:04:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

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   PD    [Tukey lambda PPCC Plot] [Q8 goede] [2008-10-26 19:14:19] [e81ac192d6ae6d77191d83851a692999] [Current]
Feedback Forum
2008-10-29 17:28:46 [Jan Van Riet] [reply] 
Dit klopt. De hoogste waarde valt af te lezen in de tabel ter hoogte van een lambda van 0,5 (U-shaped).
2008-11-03 09:28:40 [339a57d8a4d5d113e4804fc423e4a59e] [reply] 
De student heeft deze berekening correct uitgevoerd.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,296364694
0,289012188
0,284750546
0,308461168
0,311197802
0,30529117
0,293051134
0,295099724
0,299855329
0,293829075
0,288573454
0,291966049
0,2963183
0,29200924
0,28480764
0,282794428
0,278180549
0,276553189
0,279449933
0,26945731
0,271973446
0,268878727
0,257315852
0,256300537
0,251716995
0,248027075
0,239819848
0,235972015
0,238589686
0,235190343
0,240847054
0,242726478
0,243078651
0,249048485
0,250492336
0,251108768
0,260807534
0,266405235
0,278845462
0,292498505
0,286193952
0,28362042
0,290952119
0,289686229
0,294248482
0,29239326
0,304865687
0,296759995
0,296725458
0,283560093
0,28887286
0,287995152
0,300349538
0,295216859
0,297463824
0,295403904
0,297420797
0,292759913
0,299713181
0,315840172

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19033&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19033&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19033&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'George Udny Yule' @ 72.249.76.132






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.61588041929209
Exact Logistic (lambda=0)0.942501413349655
Approx. Normal (lambda=0.14)0.952232573179848
U-shaped (lambda=0.5)0.95776830863578
Exactly Uniform (lambda=1)0.953733245290598

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.61588041929209 \tabularnewline
Exact Logistic (lambda=0) & 0.942501413349655 \tabularnewline
Approx. Normal (lambda=0.14) & 0.952232573179848 \tabularnewline
U-shaped (lambda=0.5) & 0.95776830863578 \tabularnewline
Exactly Uniform (lambda=1) & 0.953733245290598 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19033&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]0.61588041929209[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.942501413349655[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.952232573179848[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.95776830863578[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.953733245290598[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19033&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19033&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)0.61588041929209
Exact Logistic (lambda=0)0.942501413349655
Approx. Normal (lambda=0.14)0.952232573179848
U-shaped (lambda=0.5)0.95776830863578
Exactly Uniform (lambda=1)0.953733245290598


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 4 ;
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')