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 computationMon, 27 Oct 2008 16:15:55 -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/27/t1225145794gifrt6o5pgbqn7y.htm/, Retrieved Sun, 19 May 2024 13:38:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19687, Retrieved Sun, 19 May 2024 13:38:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Tukey lambda PPCC Plot] [task 2 TL] [2008-10-27 22:15:55] [0d500ce70fb61d771562626855e78bdd] [Current]
Feedback Forum
2008-10-29 21:29:30 [Kevin Truyts] [reply
De studente heeft een 'goede' tijdreeks gevonden, maar heeft nergens vermeld welke bron ze heeft geraadpleegd en wat voor tijdreeks het is. De studente heeft ook alleen maar de Tukey Lamba berekend. Dit is echter niet voldoende om na te gaan of het hele model al dan niet goed is.
2008-11-01 17:30:48 [Kevin Neelen] [reply
Deze studente heeft slechts 1 nieuw model (PPCC Plot Tukey Lambda) ontworpen om na te gaan of het model correct is. Dit is echter niet voldoende.
2008-11-03 17:16:27 [Jeroen Michel] [reply
De student heeft slechts 1 nieuw modele geproduceerd. Bovendien heeft hij geen feedback of conclusie gemaakt bij de gevonden resultaten.

Zie onderstaande links voor een correctere manier:
1)http://www.freestatistics.org/blog/date/2008/Oct/27/t1225089268qwpw3kd7cfi59hf.htm

2)http://www.freestatistics.org/blog/date/2008/Oct/28/t1225153537glhgvpad46hdvbo.htm

Post a new message
Dataseries X:
109,20
88,60
94,30
98,30
86,40
80,60
104,10
108,20
93,40
71,90
94,10
94,90
96,40
91,10
84,40
86,40
88,00
75,10
109,70
103,00
82,10
68,00
96,40
94,30
90,00
88,00
76,10
82,50
81,40
66,50
97,20
94,10
80,70
70,50
87,80
89,50
99,60
84,20
75,10
92,00
80,80
73,10
99,80
90,00
83,10
72,40
78,80
87,30
91,00
80,10
73,60
86,40
74,50
71,20
92,40
81,50
85,30
69,90
84,20
90,70
100,30




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=19687&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=19687&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19687&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'George Udny Yule' @ 72.249.76.132







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.664010722560245
Exact Logistic (lambda=0)0.986871668312688
Approx. Normal (lambda=0.14)0.993978461189783
U-shaped (lambda=0.5)0.994142337640836
Exactly Uniform (lambda=1)0.986461326389092

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.664010722560245 \tabularnewline
Exact Logistic (lambda=0) & 0.986871668312688 \tabularnewline
Approx. Normal (lambda=0.14) & 0.993978461189783 \tabularnewline
U-shaped (lambda=0.5) & 0.994142337640836 \tabularnewline
Exactly Uniform (lambda=1) & 0.986461326389092 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19687&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]0.664010722560245[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.986871668312688[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.993978461189783[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.994142337640836[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.986461326389092[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19687&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19687&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)0.664010722560245
Exact Logistic (lambda=0)0.986871668312688
Approx. Normal (lambda=0.14)0.993978461189783
U-shaped (lambda=0.5)0.994142337640836
Exactly Uniform (lambda=1)0.986461326389092



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')