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Author*The author of this computation has been verified*
R Software Modulerwasp_tukeylambda.wasp
Title produced by softwareTukey lambda PPCC Plot
Date of computationSun, 11 Dec 2016 15:10:16 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/11/t1481465578tlysgi75z1hepzk.htm/, Retrieved Thu, 02 May 2024 07:41:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298789, Retrieved Thu, 02 May 2024 07:41:19 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ML Fitting and QQ Plot- Normal Distribution] [Histogram] [2016-12-02 11:39:44] [937b9e6718912fc8986df66e31b6c342]
- RMP     [Tukey lambda PPCC Plot] [TUKEY STATPAP] [2016-12-11 14:10:16] [863feeaf19a0ddfce7bd9c25059c4d8a] [Current]
- RM D      [Notched Boxplots] [NOT BOX STATPAP] [2016-12-11 14:15:45] [937b9e6718912fc8986df66e31b6c342]
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Dataseries X:
4790.92
4795.33
4822.62
4797.52
4822.17
4843.08
4850.79
4827.02
4796.65
4854.96
4870.81
4891.06
4881.38
4921.43
4956.21
4962.81
4949.38
4977.99
4992.73
5009.02
4990.98
5014.96
5022.23
5028.83
4894.36
4918.13
4936.4
4899.87
4862.89
4882.69
4895.46
4883.8
4855.4
4874.33
4880.94
4861.79
4851.44
4840.22
4842.42
4827.02
4749.77
4866.63
4734.37
4726.44
4753.51
4867.29
4793.35
4822.4
4865.09
4987.67
4900.96
4904.71
4889.52
5015.63
4938.81
4924.73
4871.48
4998.24
4891.06
4876.54
4824.15




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298789&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=298789&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298789&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.666053729650888
Exact Logistic (lambda=0)0.982990972099781
Approx. Normal (lambda=0.14)0.988654321935042
U-shaped (lambda=0.5)0.985655642573911
Exactly Uniform (lambda=1)0.975387223350103

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.666053729650888 \tabularnewline
Exact Logistic (lambda=0) & 0.982990972099781 \tabularnewline
Approx. Normal (lambda=0.14) & 0.988654321935042 \tabularnewline
U-shaped (lambda=0.5) & 0.985655642573911 \tabularnewline
Exactly Uniform (lambda=1) & 0.975387223350103 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298789&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]0.666053729650888[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.982990972099781[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.988654321935042[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.985655642573911[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.975387223350103[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298789&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298789&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)0.666053729650888
Exact Logistic (lambda=0)0.982990972099781
Approx. Normal (lambda=0.14)0.988654321935042
U-shaped (lambda=0.5)0.985655642573911
Exactly Uniform (lambda=1)0.975387223350103



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')