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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 04:08:44 -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/t1225015814z3qbdfkmk1wm6c6.htm/, Retrieved Sun, 19 May 2024 16:33:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18836, Retrieved Sun, 19 May 2024 16:33:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Tukey lambda tot ...] [2008-10-24 09:02:28] [e1a46c1dcfccb0cb690f79a1a409b517]
F RMPD  [Univariate Explorative Data Analysis] [Univariate Explor...] [2008-10-24 12:02:31] [e1a46c1dcfccb0cb690f79a1a409b517]
-   PD    [Univariate Explorative Data Analysis] [UEDA - Vlaams gew...] [2008-10-26 09:55:38] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMP         [Tukey lambda PPCC Plot] [PPCC Tukey Lambda...] [2008-10-26 10:08:44] [b23db733701c4d62df5e228d507c1c6a] [Current]
-    D          [Tukey lambda PPCC Plot] [PPCC Tukey Lambda...] [2008-10-26 17:52:44] [46c5a5fbda57fdfa1d4ef48658f82a0c]
F    D          [Tukey lambda PPCC Plot] [Taak 3 Q8] [2008-10-27 08:04:07] [29647dffafb5b58c12a48dbf6cba2b57]
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Dataseries X:
0.385274748
0.381257491
0.384269306
0.384535633
0.3808246
0.377188781
0.37535941
0.373115667
0.375267632
0.406847169
0.426199688
0.397190396
0.399886149
0.393113384
0.39838006
0.398133245
0.390841886
0.388728808
0.386805095
0.382658744
0.385661163
0.413132818
0.422725018
0.395751888
0.393901819
0.385024286
0.388191399
0.369521476
0.371671593
0.366696045
0.374031922
0.368629916
0.369072262
0.38744478
0.384519877
0.37195362
0.355320145
0.349844982
0.349192677
0.347109045
0.338315836
0.334991621
0.328202632
0.327376829
0.337007833
0.364266911
0.358468343
0.336958629
0.329132753
0.326459362
0.33309545
0.328291309
0.32347245
0.328677972
0.325577316
0.321718862
0.331073328
0.353023114
0.350585656
0.336580139




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=18836&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=18836&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18836&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)0.624028903323034
Exact Logistic (lambda=0)0.963839925703033
Approx. Normal (lambda=0.14)0.975643275768594
U-shaped (lambda=0.5)0.985464161739414
Exactly Uniform (lambda=1)0.9847883785805

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.624028903323034 \tabularnewline
Exact Logistic (lambda=0) & 0.963839925703033 \tabularnewline
Approx. Normal (lambda=0.14) & 0.975643275768594 \tabularnewline
U-shaped (lambda=0.5) & 0.985464161739414 \tabularnewline
Exactly Uniform (lambda=1) & 0.9847883785805 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18836&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]0.624028903323034[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.963839925703033[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.975643275768594[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.985464161739414[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.9847883785805[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18836&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18836&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)0.624028903323034
Exact Logistic (lambda=0)0.963839925703033
Approx. Normal (lambda=0.14)0.975643275768594
U-shaped (lambda=0.5)0.985464161739414
Exactly Uniform (lambda=1)0.9847883785805



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')