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Author*The author of this computation has been verified*
R Software Modulerwasp_tukeylambda.wasp
Title produced by softwareTukey lambda PPCC Plot
Date of computationTue, 15 Dec 2015 09:35:29 +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/15/t1450172152f6abqh15e4qdnf6.htm/, Retrieved Sat, 18 May 2024 14:50:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286435, Retrieved Sat, 18 May 2024 14:50:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Tukey lambda PPCC Plot] [PPCC-plot gewicht] [2015-12-15 09:35:29] [2cd399ee29a1908c11c72d5dc5a57aee] [Current]
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Dataseries X:
12.6707633
12.74154396
12.81159383
12.88102276
12.94993386
13.01842382
13.08658317
13.1544966
13.22224319
13.28989667
13.3575257
13.42519408
13.49296097
13.56088113
13.62900513
13.69737858
13.76604628
13.83504622
13.90441401
13.97418299
14.04437938
14.1150324
14.18616443
14.25779618
14.32994444
14.40262749
14.47585763
14.54964614
14.62400225
14.69893326
14.77444466
14.85054151
14.92722304
15.00449143
15.08234595
15.16078454
15.23980565
15.31940246
15.39957041
15.48030313
15.56159336
15.64343309
15.72581355
15.80872535
15.89216021
15.97610456
16.06054891
16.14548194
16.23089203
16.31676727
16.40309556
16.4898646
16.577062
16.66467529
16.75269194
16.84109948
16.92988544
17.01903746
17.10854328
17.1983908
17.28856808
17.37906341
17.46986528
17.56096245
17.65234555
17.74400082
17.83591938
17.92809121
18.0205066
18.11315625
18.20603119
18.29912286
18.3924231
18.48592413
18.57961862
18.67349965
18.76756071
18.86179576
18.95619918
19.05076579
19.14549088
19.24037019
19.33539989
19.43057662
19.5258975
19.62136007
19.71696234
19.8127028
19.90858036
20.0045944
20.10074476
20.19703171
20.29345597
20.39001872
20.48672347
20.58356862
20.68055839
20.77769565
20.87498372
20.97242631
21.07002754
21.16779192
21.26572436
21.36383013
21.4621149
21.56058467
21.65924582
21.75810506
21.85716942
21.95644627
22.05594328
22.15566842
22.2556318
22.35583862
22.45629922
22.55702268
22.65801829
22.75929558
22.8608643
22.9627344
23.06491603
23.16741888
23.27025534
23.37343341
23.47696538
23.58086145
23.68513322
23.78979096
23.89484664
24.00031064
24.10619501
24.21251028
24.31926857
24.42648043
24.53415806
24.642312
24.75095449
24.86009596
24.96975012
25.07992303
25.19063309
25.30188584
25.41369439
25.52606977
25.6390231
25.75256528
25.8667073
25.9814599
26.09683392
26.2128399
26.32948858
26.44679027
26.56475557
26.68339457
26.80271774
26.92273494
27.04345648
27.16489199
27.28705168
27.40994539
27.53358074
27.65796978
27.78312173
27.90904433
28.035749
28.16324264
28.2915364
28.42063744
28.5505561
28.68130005
28.81287875
28.94530029
29.07857344
29.21270645
29.34770775
29.48358527
29.62034774
29.75800198
29.89655787
30.03602021
30.17640101
30.31770417
30.45993837
30.60311107
30.74722941
30.89230072
31.0383318
31.18532984
31.33330127
31.48225315
31.63219151
31.78312329
31.93505405
32.08799062
32.2419381
32.39690313
32.55289035
32.7099062
32.86795484
33.02704244
33.18717272
33.34835148
33.51058203
33.67386973
33.8382175
34.00363017
34.17011029
34.33766207
34.50628773
34.67599076
34.84677306
35.01863732
35.19158513
35.36561737
35.54073816
35.71694723
35.8942414
36.07262569
36.25209851
36.43265996
36.61430874
36.79704392
36.98086412
37.1657671
37.35175104
37.53881268
37.72694943
37.91615721
38.10643241
38.2977703
38.490166
38.6836143
38.87810934
39.07364401
39.27021252
39.46780643
39.66641887
39.86604044
40.06666311
40.26827652
40.47087146
40.67443658
40.87896143
41.08443363
41.29084151
41.49817164
41.70641106
41.91554528
42.12556004
42.33643978
42.54816892
42.76073078
42.97410848
43.18828419
43.40323972
43.61895703
43.83541378
44.0525931
44.27047188
44.48903027
44.7082453
44.92809483
45.14855539
45.36960315
45.59121362
45.81336172
46.03602168
46.25916729
46.48277159
46.70680701
46.93124587
47.15605863
47.38121777
47.60669074
47.83245155
48.05846572
48.28470272
48.51113138
48.73771886
48.96443224
49.19123863
49.41810374
49.64499405
49.87187409
50.0987099
50.32546478
50.55210455
50.77859121
51.00489059
51.23096332
51.45677547
51.68228625
51.90746222
52.13226113
52.35665024
52.58058583
52.80403612
53.02695588
53.24931447
53.47106525
53.69217887
53.91260737
54.13232282
54.35127608
54.56944068
54.78676659
55.00322876
55.21877657
55.43338629
55.64701131
55.85961655
56.07116407
56.28162788
56.49095862
56.69913482
56.90610886
57.11185914
57.31634059
57.51953091
57.72138846
57.92188956
58.12099696
58.31868487
58.51492143
58.70967796
58.90293208
59.0946422
59.28479948
59.47336411
59.66032626
59.84564416
60.02931704
60.21129753
60.39158721
60.5701548
60.74698785
60.9220626
61.09536847
61.26688412
61.43660077
61.60449962
61.77057372
61.9348069
62.09719399
62.25771935
62.41638628
62.57317824
62.72809362
62.88112689
63.03227756
63.18154067
63.32891841
63.47440858
63.61801537
63.75973927
63.89958662
64.03756048
64.17366943
64.30792124
64.44032016
64.57087982
64.69961427
64.82653086
64.95164625
65.07497309
65.1965295
65.31633033
65.43440186
65.55074394
65.66540015
65.77837356
65.88970117
65.99939663
66.10749114
66.21400781
66.31897311
66.42241823
66.52436618
66.62485449
66.72390443
66.82155784
66.91783563
67.01278124
67.10641956
67.19879018
67.28992603
67.37985875
67.46863255
67.55626776
67.64281378
67.72830188
67.8127675
67.89624639
67.97877331
68.06038342
68.14111022
68.22098763
68.30004741
68.37832144
68.4558454
68.53262945
68.60872174
68.6841324
68.75889263
68.83301921
68.90653028
68.97944417
69.05176427
69.12351072
69.19467288
69.26526819
69.33527376
69.40470034
69.47351373
69.54171473
69.60925782
69.67613132
69.74227758
69.80767051
69.87223885
69.93594056
69.99868896
70.06042482
70.12104381
70.18046864
70.23857482
70.2952666
70.35039626
70.40385005
70.45546105
70.50507555
70.55252127
70.59761453
70.6401583
12.05503983
12.13455523
12.21318503
12.2910249
12.36816549
12.44469258
12.52068629
12.59622335
12.67137518
12.74620911
12.82078836
12.89517218
12.969416
13.04357164
13.1176874
13.19180874
13.26597601
13.34022934
13.41460428
13.48913319
13.56384768
13.63877446
13.71393934
13.78936547
13.86507382
13.94108332
14.01741092
14.09407175
14.1710792
14.24844498
14.32617994
14.40429169
14.48278811
14.56167529
14.64095814
14.72064045
14.80072498
14.88121352
14.96210701
15.04340553
15.12510844
15.20721443
15.28972155
15.37262729
15.45592866
15.53962221
15.62370476
15.70817017
15.79301678
15.87823668
15.96382858
16.04978452
16.13610029
16.2227706
16.30979016
16.39715363
16.48485573
16.57289122
16.66125494
16.74994187
16.83894709
16.92826587
17.01789367
17.10782615
17.19805919
17.28858894
17.37941179
17.47052444
17.56192386
17.65360733
17.74557295
17.83781722
17.93034046
18.02313904
18.11621449
18.20956418
18.30318851
18.3970876
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18.68044032
18.77544728
18.87073536
18.966307
19.06216503
19.15831267
19.25475352
19.35149163
19.44853124
19.54587708
19.64353438
19.74150854
19.83980545
19.93843145
20.03739255
20.13669623
20.23634934
20.33635961
20.43673478
20.53748298
20.63861291
20.74013277
20.8420525
20.94438028
21.04712678
21.15030093
21.25391304
21.35797332
21.4624923
21.56748045
21.6729493
21.77890902
21.88537109
21.99234686
22.09984776
22.20788541
22.31647143
22.4256177
22.53533595
22.64563824
22.75653575
22.86804258
22.98016763
23.09292679
23.20632749
23.32038549
23.43511149
23.55051871
23.66661524
23.78341652
23.90093275
24.01917703
24.13815894
24.25789074
24.37838315
24.49964778
24.62169464
24.74453536
24.86817768
24.99263735
25.1179181
25.24403371
25.37099167
25.49880264
25.62747331
25.7570168
25.88743607
26.01874261
26.15094297
26.28404312
26.41805126
26.55297507
26.68881882
26.82558904
26.96329146
27.1019295
27.24151032
27.38203422
27.52350971
27.66593402
27.80931681
27.9536524
28.09895136
28.24520531
28.3924254
28.54060085
28.689741
28.83983907
28.99089799
29.14291171
29.29588211
29.44980208
29.60467235
29.76048479
29.91723895
30.0749257
30.23354335
30.39308176
30.55353799
30.71490093
30.87716632
31.0403221
31.20436268
31.36927506
31.53505231
31.7016805
31.86915314
32.03744999
32.20656836
32.37648607
32.54719801
32.71868225
32.89093119
33.06392318
33.23764811
33.4120847
33.58722031
33.76303402
33.93951076
34.1166299
34.29437407
34.47272283
34.65165668
34.83115524
35.01119711
35.19176177
35.37282619
35.55437176
35.73636737
35.91879976
36.10163704
36.28486194
36.46844479
36.65236365
36.83659382
37.02110818
37.2058813
37.39088668
37.57609874
37.76148905
37.94703242
38.1326991
38.3184638
38.50429603
38.69016998
38.87605489
39.06192441
39.24774707
39.43349606
39.61914076
39.80465254
39.98999994
40.17515795
40.36009244
40.54477475
40.72917544
40.91326399
41.09701099
41.28038585
41.46335907
41.64590018
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42.00956706
42.19063313
42.37114758
42.55108107
42.73040375
42.90908653
43.08709982
43.2644155
43.44100245
43.61683402
43.79188142
43.9661169
44.13951004
44.31203579
44.4836659
44.65437319
44.82413133
44.99291356
45.16069403
45.32744704
45.49314752
45.65777013
45.82129177
45.98368656
46.1449338
46.30500858
46.46388803
46.62155183
46.77797684
46.93314404
47.08703099
47.23962058
47.39089077
47.54082604
47.6894054
47.83661466
47.98243414
48.12685082
48.26984657
48.41140938
48.55152298
48.69017613
48.82735473
48.9630481
49.09724461
49.22993391
49.36110718
49.49075409
49.61886898
49.74544132
49.87046889
49.99394068
50.11585824
50.23620985
50.35500108
50.47222213
50.58787426
50.70195581
50.8144676
50.92540942
51.0347839
51.14259229
51.24883903
51.3535268
51.45666185
51.55824831
51.65829423
51.75680513
51.85379089
51.94925841
52.04321933
52.13568193
52.2266596
52.31616197
52.40420412
52.49079703
52.57595741
52.65969757
52.74203581
52.82298572
52.90256713
52.9807949
53.05769031
53.13326946
53.207555
53.28056425
53.35232114
53.42284417
53.49215847
53.5602837
53.62724607
53.69306637
53.75777335
53.82138422
53.88393309
53.94543725
54.00593079
54.06543278
54.1239772
54.18158486
54.23828949
54.29411356
54.3490905
54.40324431
54.45660807
54.50920717
54.56107427
54.61223603
54.66272473
54.71256787
54.76179737
54.81044184
54.85853238
54.90609842
54.95317045
54.99977846
55.04595226
55.09172217
55.13711731
55.18216811
55.22690289
55.271352
55.31554289
55.35950558
55.40326657
55.44685531
55.49029727
55.53362107
55.576851
55.62001464
55.66313498
55.70623826
55.74934603
55.79247939
55.83566893
55.87892356
55.92227464
55.96573022
56.00931839
56.05304601
56.09693771
56.14099882
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56.22969564
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56.3192203
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56.40963105
56.45518056
56.50095811
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56.59320107
56.63965769
56.68632619
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56.87490465
56.92244396
56.97009856
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57.06564989
57.1134856
57.16131528
57.20910091
57.25679821
57.30436885
57.35175792
57.39891295
57.44578172
57.49229864
57.53840429
57.58402911
57.62910094
57.67354335
57.7172758
57.76021291
57.80226553
57.84333894
57.88333502
57.92214864
57.95967458
57.99579467
58.0303973
58.06335008
58.09453209
58.12380699
58.15103575
58.17607382
58.1987714
58.21897289
58.23651745




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286435&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286435&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286435&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.243800097337284
Exact Logistic (lambda=0)0.942867420885517
Approx. Normal (lambda=0.14)0.965989060254659
U-shaped (lambda=0.5)0.988809132266044
Exactly Uniform (lambda=1)0.994515828065044

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.243800097337284 \tabularnewline
Exact Logistic (lambda=0) & 0.942867420885517 \tabularnewline
Approx. Normal (lambda=0.14) & 0.965989060254659 \tabularnewline
U-shaped (lambda=0.5) & 0.988809132266044 \tabularnewline
Exactly Uniform (lambda=1) & 0.994515828065044 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286435&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]0.243800097337284[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.942867420885517[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.965989060254659[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.988809132266044[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.994515828065044[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286435&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286435&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)0.243800097337284
Exact Logistic (lambda=0)0.942867420885517
Approx. Normal (lambda=0.14)0.965989060254659
U-shaped (lambda=0.5)0.988809132266044
Exactly Uniform (lambda=1)0.994515828065044



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')