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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, 28 Nov 2016 17:19:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Nov/28/t1480349972skd7788re9ku892.htm/, Retrieved Sat, 04 May 2024 07:38:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297227, Retrieved Sat, 04 May 2024 07:38:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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] [Geslacht] [2016-11-28 16:19:17] [f9ec87b450e3a9e81b1e03387661d62c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3	4
4	4
5	4
4	4
4	4
5	5
5	4
5	4
5	5
5	5
5	4
4	4
4	5
4	5
4	5
5	5
4	5
NA	5
4	4
5	4
4	5
4	5
4	5
4	4
5	5
5	4
4	5
4	4
5	5
5	4
3	4
5	5
4	5
5	5
4	4
5	4
4	4
4	5
4	4
5	4
4	4
5	5
3	4
5	5
4	4
5	5
5	4
4	4
3	4
NA	4
5	4
5	4
4	4
3	5
4	5
4	4
4	4
4	3
4	4
4	4
5	5
4	5
4	5
4	4
4	5
4	4
5	3
4	4
4	5
4	5
4	5
4	4
3	4
4	4
4	4
4	4
5	4
4	5
4	5
5	4
5	5
3	4
5	4
4	5
5	5
5	4
5	5
5	5
4	5
4	4
2	4
4	3
5	5
5	4
5	3
4	5
4	5
4	5
5	5
4	5
NA	5
5	5
4	5
4	5
4	4
5	5
4	5
5	3
4	4
4	4
4	3
3	4
4	5
3	5
5	4
4	4
4	4
5	5
4	5
4	3
4	4
4	5
4	4
4	4
5	4
4	4
4	4
5	5
4	4
4	3
3	4
4	4
4	4
4	5
3	4
4	4
5	4
3	NA
4	4
5	4
5	5
4	5
4	4
4	4
3	4
5	5
4	5
5	4
4	4
4	4
3	4
4	3
4	4
4	5
3	5
4	5
5	4
3	4
4	4
5	5
4	5
5	3
4	4
4	4
4	4
4	5
4	5
3	4
4	4

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297227&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297227&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297227&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center


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')