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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, 07 Dec 2015 20:53:50 +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/2015/Dec/07/t14495216976oxqno4eq6h76x3.htm/, Retrieved Thu, 31 Oct 2024 23:07:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285433, Retrieved Thu, 31 Oct 2024 23:07:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

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] [Tukey-Lambda-PPCC...] [2015-12-07 20:53:50] [f98cce6af86ed77fb0e6a603daf8b07f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.132
1.964
2.209
1.965
2.631
2.583
2.714
2.248
2.364
3.042
2.316
2.735
2.493
2.136
2.467
2.414
2.556
2.768
2.998
2.573
3.005
3.469
2.540
3.187
2.689
2.154
3.065
2.397
2.787
3.579
2.915
3.025
3.245
3.328
2.840
3.342
2.261
2.590
2.624
1.860
2.577
2.646
2.639
2.807
2.350
3.053
2.203
2.471
1.967
2.473
2.397
1.904
2.732
2.297
2.734
2.719
2.296
3.243
2.166
2.261
2.408
2.536
2.324
2.178
2.803
2.604
2.782
2.656
2.801
3.122
2.393
2.233
2.451
2.596
2.467
2.210
2.948
2.507
3.019
2.401
2.818
3.305
2.101
2.582
2.407
2.416
2.463
2.228
2.616
2.934
2.668
2.808
2.664
3.112
2.321
2.718
2.297
2.534
2.647
2.064
2.642
2.702
2.348
2.734
2.709
3.206
2.214
2.531
2.119
2.369
2.682
1.840
2.622
2.570
2.447
2.871
2.485
2.957
2.102
2.250
2.051
2.260
2.327
1.781
2.631
2.180
2.150
2.837
1.976
2.836
2.203
1.770

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'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285433&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285433&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285433&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'Gertrude Mary Cox' @ cox.wessa.net






Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.588222554752261
Exact Logistic (lambda=0)0.991535693348859
Approx. Normal (lambda=0.14)0.995611686641388
U-shaped (lambda=0.5)0.988301523473717
Exactly Uniform (lambda=1)0.976025336082416

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.588222554752261 \tabularnewline
Exact Logistic (lambda=0) & 0.991535693348859 \tabularnewline
Approx. Normal (lambda=0.14) & 0.995611686641388 \tabularnewline
U-shaped (lambda=0.5) & 0.988301523473717 \tabularnewline
Exactly Uniform (lambda=1) & 0.976025336082416 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285433&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]0.588222554752261[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.991535693348859[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.995611686641388[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.988301523473717[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.976025336082416[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285433&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285433&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)0.588222554752261
Exact Logistic (lambda=0)0.991535693348859
Approx. Normal (lambda=0.14)0.995611686641388
U-shaped (lambda=0.5)0.988301523473717
Exactly Uniform (lambda=1)0.976025336082416


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')