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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 computationFri, 11 Dec 2015 11:02:28 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/11/t1449831805td76829l6quag2g.htm/, Retrieved Thu, 16 May 2024 10:16:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285880, Retrieved Thu, 16 May 2024 10:16:32 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Tukey lambda PPCC Plot] [Tukey Lambda PPCC...] [2015-12-11 11:02:28] [c64d18c4965ab4f6aaa8ccacbfc5c0c1] [Current]
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Dataseries X:
159.81
147.75
147.13
140.33
142.87
139.67
135.35
136.32
129.27
126.81
137.17
150.94
173.71
156.68
146.84
144.17
134.81
135.13
131.45
133.77
134.87
140.90
136.57
155.52
160.16
158.04
148.42
150.70
135.26
134.63
132.23
132.55
134.13
136.94
141.73
165.68
162.48
145.86
142.19
137.30
131.71
133.67
133.81
127.48
128.10
134.32
135.83
151.87
158.87
163.86
158.58
140.13
136.87
134.20
126.19
122.52
124.20
133.87
136.53
148.90
151.19
151.29
149.06
138.80
134.77
135.43
141.19
126.77
126.43
131.00
134.00
138.13
151.06
158.61
144.03
139.57
128.74
127.20
125.90
122.06
127.23
135.13
144.83
134.94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285880&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285880&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285880&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.630253368337246
Exact Logistic (lambda=0)0.967288193299194
Approx. Normal (lambda=0.14)0.972605880286843
U-shaped (lambda=0.5)0.969205974830209
Exactly Uniform (lambda=1)0.959592612334239

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.630253368337246 \tabularnewline
Exact Logistic (lambda=0) & 0.967288193299194 \tabularnewline
Approx. Normal (lambda=0.14) & 0.972605880286843 \tabularnewline
U-shaped (lambda=0.5) & 0.969205974830209 \tabularnewline
Exactly Uniform (lambda=1) & 0.959592612334239 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285880&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]0.630253368337246[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.967288193299194[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.972605880286843[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.969205974830209[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.959592612334239[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285880&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285880&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)0.630253368337246
Exact Logistic (lambda=0)0.967288193299194
Approx. Normal (lambda=0.14)0.972605880286843
U-shaped (lambda=0.5)0.969205974830209
Exactly Uniform (lambda=1)0.959592612334239



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')