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Author's title

Author*Unverified author*
R Software Modulerwasp_tukeylambda.wasp
Title produced by softwareTukey lambda PPCC Plot
Date of computationSat, 25 Oct 2008 08:23:21 -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/25/t1224944731lmi94963m5kbvxe.htm/, Retrieved Sun, 19 May 2024 00:53:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18751, Retrieved Sun, 19 May 2024 00:53:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsnic Q8
Estimated Impact190
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...] [2008-10-25 14:23:21] [d8c5724db236abb5950452133b88474d] [Current]
-    D      [Tukey lambda PPCC Plot] [investigating dis...] [2008-10-25 14:41:29] [5de5fb433ddcb9578e0fa830f795b7e9]
-    D        [Tukey lambda PPCC Plot] [Tukey lambda PPCC...] [2008-10-27 22:04:29] [74be16979710d4c4e7c6647856088456]
-               [Tukey lambda PPCC Plot] [Tukey lambda PPCC...] [2008-10-27 22:11:11] [74be16979710d4c4e7c6647856088456]
-    D      [Tukey lambda PPCC Plot] [Investigating dis...] [2008-10-25 14:47:25] [5de5fb433ddcb9578e0fa830f795b7e9]
-    D      [Tukey lambda PPCC Plot] [Investigating dis...] [2008-10-25 14:50:49] [5de5fb433ddcb9578e0fa830f795b7e9]
Feedback Forum
2008-11-03 09:38:00 [Siem Van Opstal] [reply
juiste conclusie
2008-11-03 10:12:55 [Joris Deboel] [reply
Kort maar krachtig: dit is een juiste conclusie.

Post a new message
Dataseries X:
1,8
1,9
2,2
2,1
2,2
2,7
2,8
2,9
3,4
3
3,1
2,5
2,2
2,3
2,1
2,8
3,1
2,9
2,6
2,7
2,3
2,3
2,1
2,2
2,9
2,6
2,7
1,8
1,3
0,9
1,3
1,3
1,3
1,3
1,1
1,4
1,2
1,7
1,8
1,5
1
1,6
1,5
1,8
1,8
1,6
1,9
1,7
1,6
1,3
1,1
1,9
2,6
2,3
2,4
2,2
2
2,9
2,6
2,3
2,3
2,6
3,1
2,8
2,5
2,9
3,1
3,1
3,2
2,5
2,6
2,9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18751&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]2 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=18751&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18751&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.601202294725583
Exact Logistic (lambda=0)0.97149848703562
Approx. Normal (lambda=0.14)0.98416023449664
U-shaped (lambda=0.5)0.994566106358158
Exactly Uniform (lambda=1)0.993795677572756

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.601202294725583 \tabularnewline
Exact Logistic (lambda=0) & 0.97149848703562 \tabularnewline
Approx. Normal (lambda=0.14) & 0.98416023449664 \tabularnewline
U-shaped (lambda=0.5) & 0.994566106358158 \tabularnewline
Exactly Uniform (lambda=1) & 0.993795677572756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18751&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]0.601202294725583[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.97149848703562[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.98416023449664[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.994566106358158[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.993795677572756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18751&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18751&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)0.601202294725583
Exact Logistic (lambda=0)0.97149848703562
Approx. Normal (lambda=0.14)0.98416023449664
U-shaped (lambda=0.5)0.994566106358158
Exactly Uniform (lambda=1)0.993795677572756



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')