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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 computationSun, 17 Oct 2010 21:04:33 +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/2010/Oct/17/t1287349396iz7apgrhszxvpgn.htm/, Retrieved Fri, 03 May 2024 23:55:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=84391, Retrieved Fri, 03 May 2024 23:55:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Tukey lambda PPCC Plot] [Intrinsic Motivat...] [2010-10-12 12:09:04] [b98453cac15ba1066b407e146608df68]
F   PD    [Tukey lambda PPCC Plot] [WS3 - Intr3 Tukey...] [2010-10-17 21:04:33] [be034431ba35f7eb1ce695fc7ca4deb9] [Current]
Feedback Forum
2010-10-25 18:47:25 [Naoual Ahidar] [reply] 
De student heeft de gegevens juist verwerkt in het Excelbestand en bijgevolg ook juist ingevoerd en geblogd.

Bij deze gegevens lijkt het, als we naar het histogram kijken, te gaan om een normaalverdeling. Er is geen sprake van uitlopers, enkel in het midden zien we 1 staaf terug zakken.
Vervolgens bestuderen we de QQ-plot. Hier liggen de waarden mooi op de diagonaal, met uitzondering van de staarten die een kleine afwijking vertonen.
Ook de Tukey-lambda wijst op een normaalverdeling aangezien de correlatiecoëfficiënten bij de lambda-waarden die wijzen op een normaalverdeling, dicht bij 1 gelegen zijn.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=84391&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=84391&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=84391&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.518871720339169
Exact Logistic (lambda=0)0.98552599432662
Approx. Normal (lambda=0.14)0.994395269862472
U-shaped (lambda=0.5)0.99470108646308
Exactly Uniform (lambda=1)0.986822832768485

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.518871720339169 \tabularnewline
Exact Logistic (lambda=0) & 0.98552599432662 \tabularnewline
Approx. Normal (lambda=0.14) & 0.994395269862472 \tabularnewline
U-shaped (lambda=0.5) & 0.99470108646308 \tabularnewline
Exactly Uniform (lambda=1) & 0.986822832768485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=84391&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]0.518871720339169[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.98552599432662[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.994395269862472[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.99470108646308[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.986822832768485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=84391&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=84391&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)0.518871720339169
Exact Logistic (lambda=0)0.98552599432662
Approx. Normal (lambda=0.14)0.994395269862472
U-shaped (lambda=0.5)0.99470108646308
Exactly Uniform (lambda=1)0.986822832768485


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = 0 ;
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')