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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 computationTue, 19 Oct 2010 09:16:42 +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/19/t1287479746y5a1gj6onu8vbgm.htm/, Retrieved Mon, 29 Apr 2024 07:44:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86031, Retrieved Mon, 29 Apr 2024 07:44:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121

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    D    [Tukey lambda PPCC Plot] [Amotivation task3c] [2010-10-19 09:16:42] [514029464b0621595fe21c9fa38c7009] [Current]
Feedback Forum
2010-10-20 17:04:40 [Pascal Wijnen] [reply] 
De student geeft hier geen interpretatie. Een mogelijk is: We zien duidelijk dat alle grafieken een gelijk vorm aannemen. Elke grafiek correleerd dan ook tussen het interval [0,51;0,57]. De beste gegevens komen dan ook via de exact logistics.
2010-10-21 07:13:31 [Pascal Wijnen] [reply] 
De student heeft voor vraag 3 de blogs gebruikt van: Hans van Hove. Deze heeft de student dan ook correct vermeld.
Enkel is er geen interpretatie van de student zelf aanwezig. Een mogelijke interpretatie staat hierboven, daar die repliek ook van mezelf komt, welke dezelfde blogs zijn (zijnde van Hans van Hove).

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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'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=86031&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=86031&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86031&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)0.544055212766565
Exact Logistic (lambda=0)0.848360036049737
Approx. Normal (lambda=0.14)0.844664020334802
U-shaped (lambda=0.5)0.82744257428688
Exactly Uniform (lambda=1)0.81215456883341

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.544055212766565 \tabularnewline
Exact Logistic (lambda=0) & 0.848360036049737 \tabularnewline
Approx. Normal (lambda=0.14) & 0.844664020334802 \tabularnewline
U-shaped (lambda=0.5) & 0.82744257428688 \tabularnewline
Exactly Uniform (lambda=1) & 0.81215456883341 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86031&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]0.544055212766565[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.848360036049737[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.844664020334802[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.82744257428688[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.81215456883341[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86031&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86031&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)0.544055212766565
Exact Logistic (lambda=0)0.848360036049737
Approx. Normal (lambda=0.14)0.844664020334802
U-shaped (lambda=0.5)0.82744257428688
Exactly Uniform (lambda=1)0.81215456883341


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')