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Description of Statistical Computation

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 computationMon, 27 Oct 2008 13:21:17 -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/27/t1225135351m5ak49fhepecrpw.htm/, Retrieved Tue, 28 May 2024 16:25:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19455, Retrieved Tue, 28 May 2024 16:25:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Investigating dis...] [2007-10-22 19:59:15] [b9964c45117f7aac638ab9056d451faa]
F    D    [Tukey lambda PPCC Plot] [Investigating dis...] [2008-10-27 19:21:17] [708e5cce6cfef15b7edd0dea71956401] [Current]
Feedback Forum
2008-11-03 11:04:02 [256f97d8b7c07ed49f142eff724c6520] [reply] 
Hier kan je dus vaststellen dat er een normale verdeling is.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.6
101.2
111.6
109.4
105.4
119.6
87.7
93.8
115.6
121.3
104.9
103.9
95.2
102
117.4
111.3
109.6
123
88.8
98.8
119.9
122.1
115.5
107.1
99.3
102.5
111.2
109.7
109.8
124.4
85.6
95.4
115.1
116.2
120
109.9
104
104.3
120.2
112.5
122.3
130
94.8
103.9
128.8
137.6
130.8
125.2
119.1
120.4
136.6
129.8
135.8
151
105
117.3
144.6
154.6
137.3
129
125.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19455&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19455&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19455&T=0

As an alternative you can also use a QR Code:  
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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.706701176413107
Exact Logistic (lambda=0)0.989860595859979
Approx. Normal (lambda=0.14)0.992366040961938
U-shaped (lambda=0.5)0.9848048314433
Exactly Uniform (lambda=1)0.972907136134096

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.706701176413107 \tabularnewline
Exact Logistic (lambda=0) & 0.989860595859979 \tabularnewline
Approx. Normal (lambda=0.14) & 0.992366040961938 \tabularnewline
U-shaped (lambda=0.5) & 0.9848048314433 \tabularnewline
Exactly Uniform (lambda=1) & 0.972907136134096 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19455&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]0.706701176413107[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.989860595859979[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.992366040961938[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.9848048314433[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.972907136134096[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19455&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19455&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.706701176413107
Exact Logistic (lambda=0)0.989860595859979
Approx. Normal (lambda=0.14)0.992366040961938
U-shaped (lambda=0.5)0.9848048314433
Exactly Uniform (lambda=1)0.972907136134096


Figures (Output of Computation)

Input Parameters & R Code

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')