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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 computationFri, 11 Dec 2009 03:23:55 -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/2009/Dec/11/t1260527078steyiiq4k17tkl1.htm/, Retrieved Mon, 29 Apr 2024 05:35:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=65954, Retrieved Mon, 29 Apr 2024 05:35:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147

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] [3/11/2009] [2009-11-02 22:14:51] [b98453cac15ba1066b407e146608df68]
-    D  [Tukey lambda PPCC Plot] [WS 6] [2009-11-05 18:08:50] [eaf42bcf5162b5692bb3c7f9d4636222]
-    D    [Tukey lambda PPCC Plot] [Workshop 6: PPCC ...] [2009-11-06 11:54:57] [1433a524809eda02c3198b3ae6eebb69]
-   PD        [Tukey lambda PPCC Plot] [PPCC Tukey Lambda...] [2009-12-11 10:23:55] [a5c6be3c0aa55fdb2a703a08e16947ef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,5270
0,4720
0,0000
0,0520
0,3130
0,3640
0,3630
-0,1550
0,0520
0,5680
0,6680
1,3780
0,2520
-0,4020
-0,0500
0,5550
0,0500
0,1500
0,4500
0,2990
0,1990
0,4960
0,4440
-0,3930
-0,4440
0,1980
0,4940
0,1330
0,3880
0,4840
0,2780
0,3690
0,1650
0,1550
0,0870
0,4140
0,3600
0,9750
0,2700
0,3590
0,1690
0,3810
0,1540
0,4860
0,9250
0,7280
-0,0140
0,0460
-0,8190
-1,6740
-0,7880
0,2790
0,3960
-0,1410
-0,0190
0,0990
0,7420
0,0050
0,4480

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65954&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=65954&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65954&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.86011567082484
Exact Logistic (lambda=0)0.955803687479902
Approx. Normal (lambda=0.14)0.939338093200561
U-shaped (lambda=0.5)0.900408519333792
Exactly Uniform (lambda=1)0.871276092860066

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.86011567082484 \tabularnewline
Exact Logistic (lambda=0) & 0.955803687479902 \tabularnewline
Approx. Normal (lambda=0.14) & 0.939338093200561 \tabularnewline
U-shaped (lambda=0.5) & 0.900408519333792 \tabularnewline
Exactly Uniform (lambda=1) & 0.871276092860066 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65954&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]0.86011567082484[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.955803687479902[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.939338093200561[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.900408519333792[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.871276092860066[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=65954&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65954&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)0.86011567082484
Exact Logistic (lambda=0)0.955803687479902
Approx. Normal (lambda=0.14)0.939338093200561
U-shaped (lambda=0.5)0.900408519333792
Exactly Uniform (lambda=1)0.871276092860066


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Inflatie Amerika ; par5 = US DOLLAR ;
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')