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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, 22 Jan 2017 13:02:37 +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/2017/Jan/22/t148508660882bcvnsk838pega.htm/, Retrieved Tue, 14 May 2024 21:06:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=303380, Retrieved Tue, 14 May 2024 21:06:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Tukey lambda PPCC Plot] [rfc samenvatting ...] [2017-01-22 12:02:37] [d92250bd36540c2281a4ec15b45df1dd] [Current]
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Dataseries X:
0.3782080858
0.04959191822
0.3841287211
0.6182768452
0.2285042749
0.4560732466
0.3376161273
0.8055596819
0.9078052337
0.5251742685
0.1379808533
0.2096931945
0.6159987683
0.2516885402
0.4956280005
0.6056835022
0.3508245776
0.2667243113
0.8440311426
0.7250874665
0.5952214707
0.9088408254
0.8884078604
0.3759775079
0.1023312166
0.7678412795
0.002051531341
0.7855622452
0.278158318
0.2012215427
0.9703193244
0.6654637236
0.6618862685
0.3232756538
0.5822766135
0.4996507031
0.003849897557
0.9668570178
0.5699974014
0.5550283126
0.4411640652
0.1177963972
0.3955211335
0.1146838249
0.2710085634
0.321975661
0.3854657155
0.4337888105
0.8215692777
0.5650581345
0.7132968763
0.9181575028
0.9206356003
0.124875066
0.7292536302
0.02546127395
0.4618541333
0.896468305
0.1379300694
0.3890997236
0.5686385097
0.6897893217
0.5235134649
0.6647275219
0.8557356525
0.00005437889247
0.7226784444
0.599437879
0.2884481223
0.7507560886
0.5451376712
0.823602202
0.1395127694
0.5093310478
0.3418484972
0.8653658415
0.5436357423
0.6754838878
0.9208760715
0.8878001891
0.1496835612
0.1421674333
0.3109126317
0.6487111482
0.3705305052
0.9292192001
0.872452983
0.1831035836
0.7305623761
0.2896541362
0.2566263528
0.7083022478
0.8108363667
0.7886136579
0.7116844345
0.2517289243
0.2918971441
0.8549706756
0.2371455222
0.5013356916
0.5942494076
0.3055913012
0.08559529742
0.3786945071
0.6164864091
0.3422524417
0.112143424
0.8347432098
0.07107497881
0.5212157617
0.4715366147
0.3681874262
0.9177966167
0.1954579932
0.1629280139
0.7665590585
0.3948449402
0.9295573471
0.9223026197
0.569930811
0.1475793027
0.3872362409
0.9625591708
0.7572870737
0.9549347828
0.191560323
0.06124805779
0.1555510388
0.553488225
0.2577936189
0.4959657593
0.07126798121
0.05918081516
0.09891007834
0.3274052725
0.6449449196
0.4866965885
0.6037612599
0.5300629192
0.4280464428
0.8664974424
0.7879003107
0.4706014447
0.6826468263
0.4595142449
0.01706220453
0.2338692093
0.9037383592
0.5694942555
0.2033002144




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=303380&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=303380&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=303380&T=0

As an alternative you can also use a 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







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.458380636693752
Exact Logistic (lambda=0)0.962880920053298
Approx. Normal (lambda=0.14)0.980823077572495
U-shaped (lambda=0.5)0.997377630024936
Exactly Uniform (lambda=1)0.999220053959499

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.458380636693752 \tabularnewline
Exact Logistic (lambda=0) & 0.962880920053298 \tabularnewline
Approx. Normal (lambda=0.14) & 0.980823077572495 \tabularnewline
U-shaped (lambda=0.5) & 0.997377630024936 \tabularnewline
Exactly Uniform (lambda=1) & 0.999220053959499 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=303380&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]0.458380636693752[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.962880920053298[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.980823077572495[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.997377630024936[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.999220053959499[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=303380&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=303380&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.458380636693752
Exact Logistic (lambda=0)0.962880920053298
Approx. Normal (lambda=0.14)0.980823077572495
U-shaped (lambda=0.5)0.997377630024936
Exactly Uniform (lambda=1)0.999220053959499



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
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')