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Author's title

Author*Unverified author*
R Software Modulerwasp_tukeylambda.wasp
Title produced by softwareTukey lambda PPCC Plot
Date of computationSun, 06 Jan 2008 09:05:21 -0700
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/Jan/06/t1199635540c0xgumccs8q679g.htm/, Retrieved Sat, 04 May 2024 23:12:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7828, Retrieved Sat, 04 May 2024 23:12:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsInvestigating distributions Econ activiteit Q1
Estimated Impact193
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [WS2 - Robustness ...] [2007-10-20 13:06:37] [5343e105a400b9e32bf6f011133bbaf4]
- RM D    [Tukey lambda PPCC Plot] [CVWS2TIQ1] [2008-01-06 16:05:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
87,3
97,6
107,1
96,1
109,5
105,0
83,9
89,2
107,0
113,6
108,1
91,9
104,9
99,2
104,3
104,0
101,5
105,4
88,7
83,6
98,0
108,9
92,8
82,0
101,3
106,3
94,0
102,8
102,0
105,1
92,4
81,4
105,8
120,3
100,7
88,8
94,3
99,9
103,4
103,3
98,8
104,2
91,2
74,7
108,5
114,5
96,9
89,6
97,1
100,3
122,6
115,4
109,0
129,1
102,8
96,2
127,7
128,9
126,5
119,8
113,2
114,1
134,1
130,0
121,8
132,1
105,3
103,0
117,1
126,3
138,1
119,5
138,0
135,5
178,6
162,2
176,9
204,9
132,2
142,5
164,3
174,9
175,4
143,0
158,7
155,4
176,6
163,3
178,9
182,7




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7828&T=0

[TABLE]
[ROW][C]Summary of compuational 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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7828&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7828&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.614650585165026
Exact Logistic (lambda=0)0.936983583146285
Approx. Normal (lambda=0.14)0.939645637042224
U-shaped (lambda=0.5)0.931178602180716
Exactly Uniform (lambda=1)0.918117701132902

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.614650585165026 \tabularnewline
Exact Logistic (lambda=0) & 0.936983583146285 \tabularnewline
Approx. Normal (lambda=0.14) & 0.939645637042224 \tabularnewline
U-shaped (lambda=0.5) & 0.931178602180716 \tabularnewline
Exactly Uniform (lambda=1) & 0.918117701132902 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7828&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]0.614650585165026[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.936983583146285[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.939645637042224[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.931178602180716[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.918117701132902[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7828&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7828&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)0.614650585165026
Exact Logistic (lambda=0)0.936983583146285
Approx. Normal (lambda=0.14)0.939645637042224
U-shaped (lambda=0.5)0.931178602180716
Exactly Uniform (lambda=1)0.918117701132902



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')