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Author's title

Author*Unverified author*
R Software Modulerwasp_tukeylambda.wasp
Title produced by softwareTukey lambda PPCC Plot
Date of computationThu, 20 Dec 2012 11:24:26 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/20/t135602068548vf1as6ppbb3qv.htm/, Retrieved Thu, 18 Apr 2024 08:56:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=202862, Retrieved Thu, 18 Apr 2024 08:56:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Survey Scores] [Intrinsic Motivat...] [2010-10-12 11:18:40] [b98453cac15ba1066b407e146608df68]
- R PD  [Survey Scores] [W3 extrinsic iden...] [2012-10-16 08:01:52] [8c30f4dd45e15fd207e4faf2fdf6253e]
- RMPD    [Tukey lambda PPCC Plot] [Paper deel 1 prob...] [2012-11-13 15:17:10] [8c30f4dd45e15fd207e4faf2fdf6253e]
- R           [Tukey lambda PPCC Plot] [] [2012-12-20 16:24:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
4
4
6

8
4

8
5
4


4
4
4

4


8

7
4

5
4
4
4

4

4
15



4


4
7
4
6


16


6

9
4
5
4

5
4
4


4
6
4

18



4
5
4


10
5
8
8




5

4


5
14
8
8
4

6
4
7
7

6


4

8
4

10

6
4
4
4
5
4
6
4

7
8

8
10
8
5
12
4

4
6


7




8
11


8
6
7
5

8
4




5
6
4



6
16
6
6

4




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' @ fisher.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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' @ fisher.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=202862&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' @ fisher.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=202862&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202862&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' @ fisher.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.596902105143184
Exact Logistic (lambda=0)0.862923828514559
Approx. Normal (lambda=0.14)0.860398730882868
U-shaped (lambda=0.5)0.84493129885035
Exactly Uniform (lambda=1)0.829826784669901

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.596902105143184 \tabularnewline
Exact Logistic (lambda=0) & 0.862923828514559 \tabularnewline
Approx. Normal (lambda=0.14) & 0.860398730882868 \tabularnewline
U-shaped (lambda=0.5) & 0.84493129885035 \tabularnewline
Exactly Uniform (lambda=1) & 0.829826784669901 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202862&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]0.596902105143184[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.862923828514559[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.860398730882868[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.84493129885035[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.829826784669901[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202862&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202862&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)0.596902105143184
Exact Logistic (lambda=0)0.862923828514559
Approx. Normal (lambda=0.14)0.860398730882868
U-shaped (lambda=0.5)0.84493129885035
Exactly Uniform (lambda=1)0.829826784669901



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')