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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 17 Oct 2009 08:16:55 -0600
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/Oct/17/t1255789119lgwx16w7ruaz5p6.htm/, Retrieved Mon, 06 May 2024 07:58:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47193, Retrieved Mon, 06 May 2024 07:58:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMP       [Percentiles] [WS III vraag 3] [2009-10-17 11:27:30] [023d83ebdf42a2acf423907b4076e8a1]
- RM D          [Harrell-Davis Quantiles] [WS 3 deel 3 harel...] [2009-10-17 14:16:55] [9f6463b67b1eb7bae5c03a796abf0348] [Current]
-   PD            [Harrell-Davis Quantiles] [WS 4 Part 3] [2009-10-28 19:06:39] [9717cb857c153ca3061376906953b329]
-   PD            [Harrell-Davis Quantiles] [WS 4 Part 3] [2009-10-28 19:08:50] [9717cb857c153ca3061376906953b329]
-   PD            [Harrell-Davis Quantiles] [WS 4 Part 3] [2009-10-28 19:12:14] [9717cb857c153ca3061376906953b329]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
500,9
359,82
375,90
449,78
503,70
420,63
448,75
436,11
486,70
586,40
547,67
569,80
542,91
408,14
516,88
566,09
511,29
477,77
609,79
622,93
560,00
678,00
544,89
547,86
557,80
471,33
508,71
556,78
588,78
455,60
508,24
520,44
458,59
581,36
506,63
490,60
630,00
558,44
579,49
482,15
690,75
537,59
503,95
618,87
709,71
678,31
662,17
500,73
551,03
471,57
480,13
587,33
515,64
493,98
570,00
385,73
465,58
542,08
572,33
476,91
454,12

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47193&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47193&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47193&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01364.20027812724715.3209061743443
0.015367.49617049276415.4348627171165
0.02371.28264148455715.9748906227190
0.025375.39228781832316.9113251622223
0.03379.69657196885418.1035406145818
0.035384.10534899955619.3748768379127
0.04388.55788046975420.5695803037985
0.045393.0119859188321.5763089950519
0.05397.4351182079322.3291321108046
0.055401.7987016593122.8004347803758
0.06406.07552831242822.9892551713583
0.065410.23932127313822.9143887695473
0.07414.26547632826522.6043320824754
0.075418.13219610919222.0938450124469
0.08421.82152202434421.4192040786923
0.085425.32002768855520.6163056239282
0.09428.6191174794619.7207403443106
0.095431.71497419296218.7646312068821
0.1434.60823995376217.7801578365352
0.105437.30351806190116.7956690752063
0.11439.80876973093915.8375449767599
0.115442.13466145324614.9282876392075
0.12444.2939026465914.0872229744146
0.125446.30060155535213.3288001512319
0.13448.16965984787612.662546733836
0.135449.91622166465712.0939805678307
0.14451.55518960572211.6224185762714
0.145453.10081722376811.2432370519898
0.15454.56638442639910.9480673880037
0.155455.96395863793810.7260470933557
0.16457.30424078288910.5647362513260
0.165458.59649143483310.4501612701188
0.17459.84852915893710.3705381919777
0.175461.06679043890610.3149408541777
0.18462.25643879452410.273251943886
0.185463.42150982730810.2383911001372
0.19464.5650789425910.2044960978410
0.195465.6894392743210.1686048131412
0.2466.79627872368210.1285480770967
0.205467.88684683237310.0835000916394
0.21468.96210426434810.0352152531129
0.215470.0228498001369.98534901911467
0.22471.0698218157229.93620820050802
0.225472.103773114339.89042293924196
0.23473.1255196269899.85080411479412
0.235474.1359648492829.8195388652095
0.24475.1361029160659.79889153405026
0.245476.1270039339759.79003048275207
0.25477.1097856110379.79435061534403
0.255478.0855753733289.8104810317513
0.26479.0554670784459.8387425904521
0.265480.0204761664279.8772311500909
0.27480.9814966738869.92373494822994
0.275481.9392630186269.97561018678996
0.28482.89431887882310.0300457709983
0.285483.84699487801610.0834370397942
0.29484.79739617501210.1326656753168
0.295485.74540047128310.1757328462546
0.3486.69066640795110.2089045683645
0.305487.63265184495510.2296316234144
0.31488.57064110738310.2358275813521
0.315489.5037799546610.2263627119704
0.32490.4311167801510.2000303966187
0.325491.35164838133510.1567235467655
0.33492.26436855076710.0969493519648
0.335493.16831771986110.0212782512972
0.34494.0626319336779.93183587432607
0.345494.946589536279.83022830961826
0.35495.8196540928399.71979162194318
0.355496.6815122566099.6035775902565
0.36497.5321054944849.48542215958124
0.365498.3716548063069.36881828722538
0.37499.2006777988439.25762132852685
0.375500.0199976996849.15825687648177
0.38500.8307441117329.07235148098347
0.385501.6343455111979.00608229295194
0.39502.4325136780388.96183552391646
0.395503.2272204161168.94529394758056
0.4504.0206670710438.95790370254654
0.405504.8152474877159.003715640996
0.41505.6135051686899.08368747555222
0.415506.4180855008049.19965324839204
0.42507.2316840126199.35156994171638
0.425508.0569917106069.53911065700701
0.43508.8966386179559.76127343228011
0.435509.75313670544810.0155850473214
0.44510.62882345727610.2986913687877
0.445511.52580735245110.6080188751014
0.45512.44591656061410.9383111300048
0.455513.39065214445311.2854384963307
0.46514.36114702463611.6426059471875
0.465515.3581318922412.0056814801758
0.47516.38190914425612.3683238551764
0.475517.43233576736912.7244448314554
0.48518.50881590342913.0675152742430
0.485519.61030359865913.3926673807748
0.49520.73531597228913.6933041906891
0.495521.88195674608513.9649005931299
0.5523.04794976390714.2016937789088
0.505524.23068181188714.4004913472463
0.51525.42725373850614.55780523934
0.515526.63453858416514.6711825060026
0.52527.8492451761814.7388689893259
0.525529.06798544085614.7596671135233
0.53530.28734354121714.7336817258913
0.535531.50394487591414.6629948756765
0.54532.71452297748414.5478206855346
0.545533.91598242828514.3932202537979
0.55535.10545606757114.2002960942219
0.555536.28035498697813.9749046942088
0.56537.43841009370413.7212470442573
0.565538.57770434750013.4439610509256
0.57539.69669513320813.1488468664883
0.575540.79422659753112.8402386086002
0.58541.86953213930612.5249358067316
0.585542.92222757948712.2070205845652
0.59543.95229583525811.8920552311858
0.595544.96006416933911.5837151803721
0.6545.94617527152811.2863323447293
0.605546.91155354946111.0039215953543
0.61547.85736805810110.7384142581777
0.615548.78499348532510.4919886320228
0.62549.69597054026410.2673995923875
0.625550.59196697097510.0642319311931
0.63551.4747402799279.88406874721968
0.635552.3461030222369.72697012397489
0.64553.2078913756699.59199022430336
0.645554.0619374756329.4786933970303
0.65554.9100458240139.38662913182217
0.655555.7539739172059.31371348485191
0.66556.5954171033639.2590796129605
0.665557.4359975763549.22211697650277
0.67558.2772573465049.20074057048205
0.675559.1206549956569.19345987363162
0.68559.9675660238819.1986587798376
0.685560.8192866228079.21684377488107
0.69561.6770407595969.24437932509667
0.695562.5419905179499.2817246483906
0.7563.4152497087239.32752750838402
0.705564.2979008218639.38085576854178
0.71565.191015431399.44187634324252
0.715566.0956781737039.5089481074153
0.72567.0130143837049.58345691790489
0.725567.9442213816629.66467373478456
0.73568.890603247169.75374385025345
0.735569.8536086896969.85084243157373
0.74570.8348713298859.95786904957952
0.745571.83625135037810.0766578484782
0.75572.85987708170210.2088887477364
0.755573.90818468753210.3574211426745
0.76574.9839537507210.5252732243065
0.765576.09033629118310.7157004214252
0.77577.23087663242610.9331042327173
0.775578.40951963955911.1812706752803
0.78579.63060523563411.46417062248
0.785580.89884780473611.7854389379147
0.79582.21930011857812.1474690856481
0.795583.5973027443212.5534728919477
0.8585.03842141615413.0038642903047
0.805586.54837643117413.4981583522945
0.81588.13296954793214.0348733678026
0.815589.79801485709914.6102023400547
0.82591.54928035879215.2195289944300
0.825593.39244622346815.8567664258882
0.83595.33308368699916.5157677230542
0.835597.37665509976117.1903119123105
0.84599.52853085518517.8748306534125
0.845601.79401304608618.5643456892885
0.85604.17834930880319.2560135552573
0.855606.68671430036619.9490231145289
0.86609.32413178952920.6431778102266
0.865612.09530881900621.3403098716003
0.87615.00435626955422.0408198538406
0.875618.05437872855722.7438499051681
0.88621.24693170101123.4442259802663
0.885624.58136600565624.1315664314186
0.89628.0541067051724.7867507506114
0.895631.65794483108725.3833178868040
0.9635.38145073874925.8863321429365
0.905639.20864305043826.2536631069494
0.91643.11906063508426.4404264102522
0.915647.08838019908226.4031248118517
0.92651.08969217840626.1053035772352
0.925655.09548676916125.5228949451342
0.93659.08030527943324.6518835436601
0.935663.02387613906123.5125319394310
0.94666.91437860424322.1528105195090
0.945670.75126358889920.6493825648523
0.95674.54682362402419.1060617878135
0.955678.32547841774217.6470597520175
0.96682.11960570882316.4053369687043
0.965685.96083902766515.5045524925099
0.97689.86628929256615.0336856969497
0.975693.82038916439515.0251162310718
0.98697.75521560682415.4408331894749
0.985701.53514988182516.1781468951347
0.99704.95491025740317.0825169900923

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 364.200278127247 & 15.3209061743443 \tabularnewline
0.015 & 367.496170492764 & 15.4348627171165 \tabularnewline
0.02 & 371.282641484557 & 15.9748906227190 \tabularnewline
0.025 & 375.392287818323 & 16.9113251622223 \tabularnewline
0.03 & 379.696571968854 & 18.1035406145818 \tabularnewline
0.035 & 384.105348999556 & 19.3748768379127 \tabularnewline
0.04 & 388.557880469754 & 20.5695803037985 \tabularnewline
0.045 & 393.01198591883 & 21.5763089950519 \tabularnewline
0.05 & 397.43511820793 & 22.3291321108046 \tabularnewline
0.055 & 401.79870165931 & 22.8004347803758 \tabularnewline
0.06 & 406.075528312428 & 22.9892551713583 \tabularnewline
0.065 & 410.239321273138 & 22.9143887695473 \tabularnewline
0.07 & 414.265476328265 & 22.6043320824754 \tabularnewline
0.075 & 418.132196109192 & 22.0938450124469 \tabularnewline
0.08 & 421.821522024344 & 21.4192040786923 \tabularnewline
0.085 & 425.320027688555 & 20.6163056239282 \tabularnewline
0.09 & 428.61911747946 & 19.7207403443106 \tabularnewline
0.095 & 431.714974192962 & 18.7646312068821 \tabularnewline
0.1 & 434.608239953762 & 17.7801578365352 \tabularnewline
0.105 & 437.303518061901 & 16.7956690752063 \tabularnewline
0.11 & 439.808769730939 & 15.8375449767599 \tabularnewline
0.115 & 442.134661453246 & 14.9282876392075 \tabularnewline
0.12 & 444.29390264659 & 14.0872229744146 \tabularnewline
0.125 & 446.300601555352 & 13.3288001512319 \tabularnewline
0.13 & 448.169659847876 & 12.662546733836 \tabularnewline
0.135 & 449.916221664657 & 12.0939805678307 \tabularnewline
0.14 & 451.555189605722 & 11.6224185762714 \tabularnewline
0.145 & 453.100817223768 & 11.2432370519898 \tabularnewline
0.15 & 454.566384426399 & 10.9480673880037 \tabularnewline
0.155 & 455.963958637938 & 10.7260470933557 \tabularnewline
0.16 & 457.304240782889 & 10.5647362513260 \tabularnewline
0.165 & 458.596491434833 & 10.4501612701188 \tabularnewline
0.17 & 459.848529158937 & 10.3705381919777 \tabularnewline
0.175 & 461.066790438906 & 10.3149408541777 \tabularnewline
0.18 & 462.256438794524 & 10.273251943886 \tabularnewline
0.185 & 463.421509827308 & 10.2383911001372 \tabularnewline
0.19 & 464.56507894259 & 10.2044960978410 \tabularnewline
0.195 & 465.68943927432 & 10.1686048131412 \tabularnewline
0.2 & 466.796278723682 & 10.1285480770967 \tabularnewline
0.205 & 467.886846832373 & 10.0835000916394 \tabularnewline
0.21 & 468.962104264348 & 10.0352152531129 \tabularnewline
0.215 & 470.022849800136 & 9.98534901911467 \tabularnewline
0.22 & 471.069821815722 & 9.93620820050802 \tabularnewline
0.225 & 472.10377311433 & 9.89042293924196 \tabularnewline
0.23 & 473.125519626989 & 9.85080411479412 \tabularnewline
0.235 & 474.135964849282 & 9.8195388652095 \tabularnewline
0.24 & 475.136102916065 & 9.79889153405026 \tabularnewline
0.245 & 476.127003933975 & 9.79003048275207 \tabularnewline
0.25 & 477.109785611037 & 9.79435061534403 \tabularnewline
0.255 & 478.085575373328 & 9.8104810317513 \tabularnewline
0.26 & 479.055467078445 & 9.8387425904521 \tabularnewline
0.265 & 480.020476166427 & 9.8772311500909 \tabularnewline
0.27 & 480.981496673886 & 9.92373494822994 \tabularnewline
0.275 & 481.939263018626 & 9.97561018678996 \tabularnewline
0.28 & 482.894318878823 & 10.0300457709983 \tabularnewline
0.285 & 483.846994878016 & 10.0834370397942 \tabularnewline
0.29 & 484.797396175012 & 10.1326656753168 \tabularnewline
0.295 & 485.745400471283 & 10.1757328462546 \tabularnewline
0.3 & 486.690666407951 & 10.2089045683645 \tabularnewline
0.305 & 487.632651844955 & 10.2296316234144 \tabularnewline
0.31 & 488.570641107383 & 10.2358275813521 \tabularnewline
0.315 & 489.50377995466 & 10.2263627119704 \tabularnewline
0.32 & 490.43111678015 & 10.2000303966187 \tabularnewline
0.325 & 491.351648381335 & 10.1567235467655 \tabularnewline
0.33 & 492.264368550767 & 10.0969493519648 \tabularnewline
0.335 & 493.168317719861 & 10.0212782512972 \tabularnewline
0.34 & 494.062631933677 & 9.93183587432607 \tabularnewline
0.345 & 494.94658953627 & 9.83022830961826 \tabularnewline
0.35 & 495.819654092839 & 9.71979162194318 \tabularnewline
0.355 & 496.681512256609 & 9.6035775902565 \tabularnewline
0.36 & 497.532105494484 & 9.48542215958124 \tabularnewline
0.365 & 498.371654806306 & 9.36881828722538 \tabularnewline
0.37 & 499.200677798843 & 9.25762132852685 \tabularnewline
0.375 & 500.019997699684 & 9.15825687648177 \tabularnewline
0.38 & 500.830744111732 & 9.07235148098347 \tabularnewline
0.385 & 501.634345511197 & 9.00608229295194 \tabularnewline
0.39 & 502.432513678038 & 8.96183552391646 \tabularnewline
0.395 & 503.227220416116 & 8.94529394758056 \tabularnewline
0.4 & 504.020667071043 & 8.95790370254654 \tabularnewline
0.405 & 504.815247487715 & 9.003715640996 \tabularnewline
0.41 & 505.613505168689 & 9.08368747555222 \tabularnewline
0.415 & 506.418085500804 & 9.19965324839204 \tabularnewline
0.42 & 507.231684012619 & 9.35156994171638 \tabularnewline
0.425 & 508.056991710606 & 9.53911065700701 \tabularnewline
0.43 & 508.896638617955 & 9.76127343228011 \tabularnewline
0.435 & 509.753136705448 & 10.0155850473214 \tabularnewline
0.44 & 510.628823457276 & 10.2986913687877 \tabularnewline
0.445 & 511.525807352451 & 10.6080188751014 \tabularnewline
0.45 & 512.445916560614 & 10.9383111300048 \tabularnewline
0.455 & 513.390652144453 & 11.2854384963307 \tabularnewline
0.46 & 514.361147024636 & 11.6426059471875 \tabularnewline
0.465 & 515.35813189224 & 12.0056814801758 \tabularnewline
0.47 & 516.381909144256 & 12.3683238551764 \tabularnewline
0.475 & 517.432335767369 & 12.7244448314554 \tabularnewline
0.48 & 518.508815903429 & 13.0675152742430 \tabularnewline
0.485 & 519.610303598659 & 13.3926673807748 \tabularnewline
0.49 & 520.735315972289 & 13.6933041906891 \tabularnewline
0.495 & 521.881956746085 & 13.9649005931299 \tabularnewline
0.5 & 523.047949763907 & 14.2016937789088 \tabularnewline
0.505 & 524.230681811887 & 14.4004913472463 \tabularnewline
0.51 & 525.427253738506 & 14.55780523934 \tabularnewline
0.515 & 526.634538584165 & 14.6711825060026 \tabularnewline
0.52 & 527.84924517618 & 14.7388689893259 \tabularnewline
0.525 & 529.067985440856 & 14.7596671135233 \tabularnewline
0.53 & 530.287343541217 & 14.7336817258913 \tabularnewline
0.535 & 531.503944875914 & 14.6629948756765 \tabularnewline
0.54 & 532.714522977484 & 14.5478206855346 \tabularnewline
0.545 & 533.915982428285 & 14.3932202537979 \tabularnewline
0.55 & 535.105456067571 & 14.2002960942219 \tabularnewline
0.555 & 536.280354986978 & 13.9749046942088 \tabularnewline
0.56 & 537.438410093704 & 13.7212470442573 \tabularnewline
0.565 & 538.577704347500 & 13.4439610509256 \tabularnewline
0.57 & 539.696695133208 & 13.1488468664883 \tabularnewline
0.575 & 540.794226597531 & 12.8402386086002 \tabularnewline
0.58 & 541.869532139306 & 12.5249358067316 \tabularnewline
0.585 & 542.922227579487 & 12.2070205845652 \tabularnewline
0.59 & 543.952295835258 & 11.8920552311858 \tabularnewline
0.595 & 544.960064169339 & 11.5837151803721 \tabularnewline
0.6 & 545.946175271528 & 11.2863323447293 \tabularnewline
0.605 & 546.911553549461 & 11.0039215953543 \tabularnewline
0.61 & 547.857368058101 & 10.7384142581777 \tabularnewline
0.615 & 548.784993485325 & 10.4919886320228 \tabularnewline
0.62 & 549.695970540264 & 10.2673995923875 \tabularnewline
0.625 & 550.591966970975 & 10.0642319311931 \tabularnewline
0.63 & 551.474740279927 & 9.88406874721968 \tabularnewline
0.635 & 552.346103022236 & 9.72697012397489 \tabularnewline
0.64 & 553.207891375669 & 9.59199022430336 \tabularnewline
0.645 & 554.061937475632 & 9.4786933970303 \tabularnewline
0.65 & 554.910045824013 & 9.38662913182217 \tabularnewline
0.655 & 555.753973917205 & 9.31371348485191 \tabularnewline
0.66 & 556.595417103363 & 9.2590796129605 \tabularnewline
0.665 & 557.435997576354 & 9.22211697650277 \tabularnewline
0.67 & 558.277257346504 & 9.20074057048205 \tabularnewline
0.675 & 559.120654995656 & 9.19345987363162 \tabularnewline
0.68 & 559.967566023881 & 9.1986587798376 \tabularnewline
0.685 & 560.819286622807 & 9.21684377488107 \tabularnewline
0.69 & 561.677040759596 & 9.24437932509667 \tabularnewline
0.695 & 562.541990517949 & 9.2817246483906 \tabularnewline
0.7 & 563.415249708723 & 9.32752750838402 \tabularnewline
0.705 & 564.297900821863 & 9.38085576854178 \tabularnewline
0.71 & 565.19101543139 & 9.44187634324252 \tabularnewline
0.715 & 566.095678173703 & 9.5089481074153 \tabularnewline
0.72 & 567.013014383704 & 9.58345691790489 \tabularnewline
0.725 & 567.944221381662 & 9.66467373478456 \tabularnewline
0.73 & 568.89060324716 & 9.75374385025345 \tabularnewline
0.735 & 569.853608689696 & 9.85084243157373 \tabularnewline
0.74 & 570.834871329885 & 9.95786904957952 \tabularnewline
0.745 & 571.836251350378 & 10.0766578484782 \tabularnewline
0.75 & 572.859877081702 & 10.2088887477364 \tabularnewline
0.755 & 573.908184687532 & 10.3574211426745 \tabularnewline
0.76 & 574.98395375072 & 10.5252732243065 \tabularnewline
0.765 & 576.090336291183 & 10.7157004214252 \tabularnewline
0.77 & 577.230876632426 & 10.9331042327173 \tabularnewline
0.775 & 578.409519639559 & 11.1812706752803 \tabularnewline
0.78 & 579.630605235634 & 11.46417062248 \tabularnewline
0.785 & 580.898847804736 & 11.7854389379147 \tabularnewline
0.79 & 582.219300118578 & 12.1474690856481 \tabularnewline
0.795 & 583.59730274432 & 12.5534728919477 \tabularnewline
0.8 & 585.038421416154 & 13.0038642903047 \tabularnewline
0.805 & 586.548376431174 & 13.4981583522945 \tabularnewline
0.81 & 588.132969547932 & 14.0348733678026 \tabularnewline
0.815 & 589.798014857099 & 14.6102023400547 \tabularnewline
0.82 & 591.549280358792 & 15.2195289944300 \tabularnewline
0.825 & 593.392446223468 & 15.8567664258882 \tabularnewline
0.83 & 595.333083686999 & 16.5157677230542 \tabularnewline
0.835 & 597.376655099761 & 17.1903119123105 \tabularnewline
0.84 & 599.528530855185 & 17.8748306534125 \tabularnewline
0.845 & 601.794013046086 & 18.5643456892885 \tabularnewline
0.85 & 604.178349308803 & 19.2560135552573 \tabularnewline
0.855 & 606.686714300366 & 19.9490231145289 \tabularnewline
0.86 & 609.324131789529 & 20.6431778102266 \tabularnewline
0.865 & 612.095308819006 & 21.3403098716003 \tabularnewline
0.87 & 615.004356269554 & 22.0408198538406 \tabularnewline
0.875 & 618.054378728557 & 22.7438499051681 \tabularnewline
0.88 & 621.246931701011 & 23.4442259802663 \tabularnewline
0.885 & 624.581366005656 & 24.1315664314186 \tabularnewline
0.89 & 628.05410670517 & 24.7867507506114 \tabularnewline
0.895 & 631.657944831087 & 25.3833178868040 \tabularnewline
0.9 & 635.381450738749 & 25.8863321429365 \tabularnewline
0.905 & 639.208643050438 & 26.2536631069494 \tabularnewline
0.91 & 643.119060635084 & 26.4404264102522 \tabularnewline
0.915 & 647.088380199082 & 26.4031248118517 \tabularnewline
0.92 & 651.089692178406 & 26.1053035772352 \tabularnewline
0.925 & 655.095486769161 & 25.5228949451342 \tabularnewline
0.93 & 659.080305279433 & 24.6518835436601 \tabularnewline
0.935 & 663.023876139061 & 23.5125319394310 \tabularnewline
0.94 & 666.914378604243 & 22.1528105195090 \tabularnewline
0.945 & 670.751263588899 & 20.6493825648523 \tabularnewline
0.95 & 674.546823624024 & 19.1060617878135 \tabularnewline
0.955 & 678.325478417742 & 17.6470597520175 \tabularnewline
0.96 & 682.119605708823 & 16.4053369687043 \tabularnewline
0.965 & 685.960839027665 & 15.5045524925099 \tabularnewline
0.97 & 689.866289292566 & 15.0336856969497 \tabularnewline
0.975 & 693.820389164395 & 15.0251162310718 \tabularnewline
0.98 & 697.755215606824 & 15.4408331894749 \tabularnewline
0.985 & 701.535149881825 & 16.1781468951347 \tabularnewline
0.99 & 704.954910257403 & 17.0825169900923 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47193&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]364.200278127247[/C][C]15.3209061743443[/C][/ROW]
[ROW][C]0.015[/C][C]367.496170492764[/C][C]15.4348627171165[/C][/ROW]
[ROW][C]0.02[/C][C]371.282641484557[/C][C]15.9748906227190[/C][/ROW]
[ROW][C]0.025[/C][C]375.392287818323[/C][C]16.9113251622223[/C][/ROW]
[ROW][C]0.03[/C][C]379.696571968854[/C][C]18.1035406145818[/C][/ROW]
[ROW][C]0.035[/C][C]384.105348999556[/C][C]19.3748768379127[/C][/ROW]
[ROW][C]0.04[/C][C]388.557880469754[/C][C]20.5695803037985[/C][/ROW]
[ROW][C]0.045[/C][C]393.01198591883[/C][C]21.5763089950519[/C][/ROW]
[ROW][C]0.05[/C][C]397.43511820793[/C][C]22.3291321108046[/C][/ROW]
[ROW][C]0.055[/C][C]401.79870165931[/C][C]22.8004347803758[/C][/ROW]
[ROW][C]0.06[/C][C]406.075528312428[/C][C]22.9892551713583[/C][/ROW]
[ROW][C]0.065[/C][C]410.239321273138[/C][C]22.9143887695473[/C][/ROW]
[ROW][C]0.07[/C][C]414.265476328265[/C][C]22.6043320824754[/C][/ROW]
[ROW][C]0.075[/C][C]418.132196109192[/C][C]22.0938450124469[/C][/ROW]
[ROW][C]0.08[/C][C]421.821522024344[/C][C]21.4192040786923[/C][/ROW]
[ROW][C]0.085[/C][C]425.320027688555[/C][C]20.6163056239282[/C][/ROW]
[ROW][C]0.09[/C][C]428.61911747946[/C][C]19.7207403443106[/C][/ROW]
[ROW][C]0.095[/C][C]431.714974192962[/C][C]18.7646312068821[/C][/ROW]
[ROW][C]0.1[/C][C]434.608239953762[/C][C]17.7801578365352[/C][/ROW]
[ROW][C]0.105[/C][C]437.303518061901[/C][C]16.7956690752063[/C][/ROW]
[ROW][C]0.11[/C][C]439.808769730939[/C][C]15.8375449767599[/C][/ROW]
[ROW][C]0.115[/C][C]442.134661453246[/C][C]14.9282876392075[/C][/ROW]
[ROW][C]0.12[/C][C]444.29390264659[/C][C]14.0872229744146[/C][/ROW]
[ROW][C]0.125[/C][C]446.300601555352[/C][C]13.3288001512319[/C][/ROW]
[ROW][C]0.13[/C][C]448.169659847876[/C][C]12.662546733836[/C][/ROW]
[ROW][C]0.135[/C][C]449.916221664657[/C][C]12.0939805678307[/C][/ROW]
[ROW][C]0.14[/C][C]451.555189605722[/C][C]11.6224185762714[/C][/ROW]
[ROW][C]0.145[/C][C]453.100817223768[/C][C]11.2432370519898[/C][/ROW]
[ROW][C]0.15[/C][C]454.566384426399[/C][C]10.9480673880037[/C][/ROW]
[ROW][C]0.155[/C][C]455.963958637938[/C][C]10.7260470933557[/C][/ROW]
[ROW][C]0.16[/C][C]457.304240782889[/C][C]10.5647362513260[/C][/ROW]
[ROW][C]0.165[/C][C]458.596491434833[/C][C]10.4501612701188[/C][/ROW]
[ROW][C]0.17[/C][C]459.848529158937[/C][C]10.3705381919777[/C][/ROW]
[ROW][C]0.175[/C][C]461.066790438906[/C][C]10.3149408541777[/C][/ROW]
[ROW][C]0.18[/C][C]462.256438794524[/C][C]10.273251943886[/C][/ROW]
[ROW][C]0.185[/C][C]463.421509827308[/C][C]10.2383911001372[/C][/ROW]
[ROW][C]0.19[/C][C]464.56507894259[/C][C]10.2044960978410[/C][/ROW]
[ROW][C]0.195[/C][C]465.68943927432[/C][C]10.1686048131412[/C][/ROW]
[ROW][C]0.2[/C][C]466.796278723682[/C][C]10.1285480770967[/C][/ROW]
[ROW][C]0.205[/C][C]467.886846832373[/C][C]10.0835000916394[/C][/ROW]
[ROW][C]0.21[/C][C]468.962104264348[/C][C]10.0352152531129[/C][/ROW]
[ROW][C]0.215[/C][C]470.022849800136[/C][C]9.98534901911467[/C][/ROW]
[ROW][C]0.22[/C][C]471.069821815722[/C][C]9.93620820050802[/C][/ROW]
[ROW][C]0.225[/C][C]472.10377311433[/C][C]9.89042293924196[/C][/ROW]
[ROW][C]0.23[/C][C]473.125519626989[/C][C]9.85080411479412[/C][/ROW]
[ROW][C]0.235[/C][C]474.135964849282[/C][C]9.8195388652095[/C][/ROW]
[ROW][C]0.24[/C][C]475.136102916065[/C][C]9.79889153405026[/C][/ROW]
[ROW][C]0.245[/C][C]476.127003933975[/C][C]9.79003048275207[/C][/ROW]
[ROW][C]0.25[/C][C]477.109785611037[/C][C]9.79435061534403[/C][/ROW]
[ROW][C]0.255[/C][C]478.085575373328[/C][C]9.8104810317513[/C][/ROW]
[ROW][C]0.26[/C][C]479.055467078445[/C][C]9.8387425904521[/C][/ROW]
[ROW][C]0.265[/C][C]480.020476166427[/C][C]9.8772311500909[/C][/ROW]
[ROW][C]0.27[/C][C]480.981496673886[/C][C]9.92373494822994[/C][/ROW]
[ROW][C]0.275[/C][C]481.939263018626[/C][C]9.97561018678996[/C][/ROW]
[ROW][C]0.28[/C][C]482.894318878823[/C][C]10.0300457709983[/C][/ROW]
[ROW][C]0.285[/C][C]483.846994878016[/C][C]10.0834370397942[/C][/ROW]
[ROW][C]0.29[/C][C]484.797396175012[/C][C]10.1326656753168[/C][/ROW]
[ROW][C]0.295[/C][C]485.745400471283[/C][C]10.1757328462546[/C][/ROW]
[ROW][C]0.3[/C][C]486.690666407951[/C][C]10.2089045683645[/C][/ROW]
[ROW][C]0.305[/C][C]487.632651844955[/C][C]10.2296316234144[/C][/ROW]
[ROW][C]0.31[/C][C]488.570641107383[/C][C]10.2358275813521[/C][/ROW]
[ROW][C]0.315[/C][C]489.50377995466[/C][C]10.2263627119704[/C][/ROW]
[ROW][C]0.32[/C][C]490.43111678015[/C][C]10.2000303966187[/C][/ROW]
[ROW][C]0.325[/C][C]491.351648381335[/C][C]10.1567235467655[/C][/ROW]
[ROW][C]0.33[/C][C]492.264368550767[/C][C]10.0969493519648[/C][/ROW]
[ROW][C]0.335[/C][C]493.168317719861[/C][C]10.0212782512972[/C][/ROW]
[ROW][C]0.34[/C][C]494.062631933677[/C][C]9.93183587432607[/C][/ROW]
[ROW][C]0.345[/C][C]494.94658953627[/C][C]9.83022830961826[/C][/ROW]
[ROW][C]0.35[/C][C]495.819654092839[/C][C]9.71979162194318[/C][/ROW]
[ROW][C]0.355[/C][C]496.681512256609[/C][C]9.6035775902565[/C][/ROW]
[ROW][C]0.36[/C][C]497.532105494484[/C][C]9.48542215958124[/C][/ROW]
[ROW][C]0.365[/C][C]498.371654806306[/C][C]9.36881828722538[/C][/ROW]
[ROW][C]0.37[/C][C]499.200677798843[/C][C]9.25762132852685[/C][/ROW]
[ROW][C]0.375[/C][C]500.019997699684[/C][C]9.15825687648177[/C][/ROW]
[ROW][C]0.38[/C][C]500.830744111732[/C][C]9.07235148098347[/C][/ROW]
[ROW][C]0.385[/C][C]501.634345511197[/C][C]9.00608229295194[/C][/ROW]
[ROW][C]0.39[/C][C]502.432513678038[/C][C]8.96183552391646[/C][/ROW]
[ROW][C]0.395[/C][C]503.227220416116[/C][C]8.94529394758056[/C][/ROW]
[ROW][C]0.4[/C][C]504.020667071043[/C][C]8.95790370254654[/C][/ROW]
[ROW][C]0.405[/C][C]504.815247487715[/C][C]9.003715640996[/C][/ROW]
[ROW][C]0.41[/C][C]505.613505168689[/C][C]9.08368747555222[/C][/ROW]
[ROW][C]0.415[/C][C]506.418085500804[/C][C]9.19965324839204[/C][/ROW]
[ROW][C]0.42[/C][C]507.231684012619[/C][C]9.35156994171638[/C][/ROW]
[ROW][C]0.425[/C][C]508.056991710606[/C][C]9.53911065700701[/C][/ROW]
[ROW][C]0.43[/C][C]508.896638617955[/C][C]9.76127343228011[/C][/ROW]
[ROW][C]0.435[/C][C]509.753136705448[/C][C]10.0155850473214[/C][/ROW]
[ROW][C]0.44[/C][C]510.628823457276[/C][C]10.2986913687877[/C][/ROW]
[ROW][C]0.445[/C][C]511.525807352451[/C][C]10.6080188751014[/C][/ROW]
[ROW][C]0.45[/C][C]512.445916560614[/C][C]10.9383111300048[/C][/ROW]
[ROW][C]0.455[/C][C]513.390652144453[/C][C]11.2854384963307[/C][/ROW]
[ROW][C]0.46[/C][C]514.361147024636[/C][C]11.6426059471875[/C][/ROW]
[ROW][C]0.465[/C][C]515.35813189224[/C][C]12.0056814801758[/C][/ROW]
[ROW][C]0.47[/C][C]516.381909144256[/C][C]12.3683238551764[/C][/ROW]
[ROW][C]0.475[/C][C]517.432335767369[/C][C]12.7244448314554[/C][/ROW]
[ROW][C]0.48[/C][C]518.508815903429[/C][C]13.0675152742430[/C][/ROW]
[ROW][C]0.485[/C][C]519.610303598659[/C][C]13.3926673807748[/C][/ROW]
[ROW][C]0.49[/C][C]520.735315972289[/C][C]13.6933041906891[/C][/ROW]
[ROW][C]0.495[/C][C]521.881956746085[/C][C]13.9649005931299[/C][/ROW]
[ROW][C]0.5[/C][C]523.047949763907[/C][C]14.2016937789088[/C][/ROW]
[ROW][C]0.505[/C][C]524.230681811887[/C][C]14.4004913472463[/C][/ROW]
[ROW][C]0.51[/C][C]525.427253738506[/C][C]14.55780523934[/C][/ROW]
[ROW][C]0.515[/C][C]526.634538584165[/C][C]14.6711825060026[/C][/ROW]
[ROW][C]0.52[/C][C]527.84924517618[/C][C]14.7388689893259[/C][/ROW]
[ROW][C]0.525[/C][C]529.067985440856[/C][C]14.7596671135233[/C][/ROW]
[ROW][C]0.53[/C][C]530.287343541217[/C][C]14.7336817258913[/C][/ROW]
[ROW][C]0.535[/C][C]531.503944875914[/C][C]14.6629948756765[/C][/ROW]
[ROW][C]0.54[/C][C]532.714522977484[/C][C]14.5478206855346[/C][/ROW]
[ROW][C]0.545[/C][C]533.915982428285[/C][C]14.3932202537979[/C][/ROW]
[ROW][C]0.55[/C][C]535.105456067571[/C][C]14.2002960942219[/C][/ROW]
[ROW][C]0.555[/C][C]536.280354986978[/C][C]13.9749046942088[/C][/ROW]
[ROW][C]0.56[/C][C]537.438410093704[/C][C]13.7212470442573[/C][/ROW]
[ROW][C]0.565[/C][C]538.577704347500[/C][C]13.4439610509256[/C][/ROW]
[ROW][C]0.57[/C][C]539.696695133208[/C][C]13.1488468664883[/C][/ROW]
[ROW][C]0.575[/C][C]540.794226597531[/C][C]12.8402386086002[/C][/ROW]
[ROW][C]0.58[/C][C]541.869532139306[/C][C]12.5249358067316[/C][/ROW]
[ROW][C]0.585[/C][C]542.922227579487[/C][C]12.2070205845652[/C][/ROW]
[ROW][C]0.59[/C][C]543.952295835258[/C][C]11.8920552311858[/C][/ROW]
[ROW][C]0.595[/C][C]544.960064169339[/C][C]11.5837151803721[/C][/ROW]
[ROW][C]0.6[/C][C]545.946175271528[/C][C]11.2863323447293[/C][/ROW]
[ROW][C]0.605[/C][C]546.911553549461[/C][C]11.0039215953543[/C][/ROW]
[ROW][C]0.61[/C][C]547.857368058101[/C][C]10.7384142581777[/C][/ROW]
[ROW][C]0.615[/C][C]548.784993485325[/C][C]10.4919886320228[/C][/ROW]
[ROW][C]0.62[/C][C]549.695970540264[/C][C]10.2673995923875[/C][/ROW]
[ROW][C]0.625[/C][C]550.591966970975[/C][C]10.0642319311931[/C][/ROW]
[ROW][C]0.63[/C][C]551.474740279927[/C][C]9.88406874721968[/C][/ROW]
[ROW][C]0.635[/C][C]552.346103022236[/C][C]9.72697012397489[/C][/ROW]
[ROW][C]0.64[/C][C]553.207891375669[/C][C]9.59199022430336[/C][/ROW]
[ROW][C]0.645[/C][C]554.061937475632[/C][C]9.4786933970303[/C][/ROW]
[ROW][C]0.65[/C][C]554.910045824013[/C][C]9.38662913182217[/C][/ROW]
[ROW][C]0.655[/C][C]555.753973917205[/C][C]9.31371348485191[/C][/ROW]
[ROW][C]0.66[/C][C]556.595417103363[/C][C]9.2590796129605[/C][/ROW]
[ROW][C]0.665[/C][C]557.435997576354[/C][C]9.22211697650277[/C][/ROW]
[ROW][C]0.67[/C][C]558.277257346504[/C][C]9.20074057048205[/C][/ROW]
[ROW][C]0.675[/C][C]559.120654995656[/C][C]9.19345987363162[/C][/ROW]
[ROW][C]0.68[/C][C]559.967566023881[/C][C]9.1986587798376[/C][/ROW]
[ROW][C]0.685[/C][C]560.819286622807[/C][C]9.21684377488107[/C][/ROW]
[ROW][C]0.69[/C][C]561.677040759596[/C][C]9.24437932509667[/C][/ROW]
[ROW][C]0.695[/C][C]562.541990517949[/C][C]9.2817246483906[/C][/ROW]
[ROW][C]0.7[/C][C]563.415249708723[/C][C]9.32752750838402[/C][/ROW]
[ROW][C]0.705[/C][C]564.297900821863[/C][C]9.38085576854178[/C][/ROW]
[ROW][C]0.71[/C][C]565.19101543139[/C][C]9.44187634324252[/C][/ROW]
[ROW][C]0.715[/C][C]566.095678173703[/C][C]9.5089481074153[/C][/ROW]
[ROW][C]0.72[/C][C]567.013014383704[/C][C]9.58345691790489[/C][/ROW]
[ROW][C]0.725[/C][C]567.944221381662[/C][C]9.66467373478456[/C][/ROW]
[ROW][C]0.73[/C][C]568.89060324716[/C][C]9.75374385025345[/C][/ROW]
[ROW][C]0.735[/C][C]569.853608689696[/C][C]9.85084243157373[/C][/ROW]
[ROW][C]0.74[/C][C]570.834871329885[/C][C]9.95786904957952[/C][/ROW]
[ROW][C]0.745[/C][C]571.836251350378[/C][C]10.0766578484782[/C][/ROW]
[ROW][C]0.75[/C][C]572.859877081702[/C][C]10.2088887477364[/C][/ROW]
[ROW][C]0.755[/C][C]573.908184687532[/C][C]10.3574211426745[/C][/ROW]
[ROW][C]0.76[/C][C]574.98395375072[/C][C]10.5252732243065[/C][/ROW]
[ROW][C]0.765[/C][C]576.090336291183[/C][C]10.7157004214252[/C][/ROW]
[ROW][C]0.77[/C][C]577.230876632426[/C][C]10.9331042327173[/C][/ROW]
[ROW][C]0.775[/C][C]578.409519639559[/C][C]11.1812706752803[/C][/ROW]
[ROW][C]0.78[/C][C]579.630605235634[/C][C]11.46417062248[/C][/ROW]
[ROW][C]0.785[/C][C]580.898847804736[/C][C]11.7854389379147[/C][/ROW]
[ROW][C]0.79[/C][C]582.219300118578[/C][C]12.1474690856481[/C][/ROW]
[ROW][C]0.795[/C][C]583.59730274432[/C][C]12.5534728919477[/C][/ROW]
[ROW][C]0.8[/C][C]585.038421416154[/C][C]13.0038642903047[/C][/ROW]
[ROW][C]0.805[/C][C]586.548376431174[/C][C]13.4981583522945[/C][/ROW]
[ROW][C]0.81[/C][C]588.132969547932[/C][C]14.0348733678026[/C][/ROW]
[ROW][C]0.815[/C][C]589.798014857099[/C][C]14.6102023400547[/C][/ROW]
[ROW][C]0.82[/C][C]591.549280358792[/C][C]15.2195289944300[/C][/ROW]
[ROW][C]0.825[/C][C]593.392446223468[/C][C]15.8567664258882[/C][/ROW]
[ROW][C]0.83[/C][C]595.333083686999[/C][C]16.5157677230542[/C][/ROW]
[ROW][C]0.835[/C][C]597.376655099761[/C][C]17.1903119123105[/C][/ROW]
[ROW][C]0.84[/C][C]599.528530855185[/C][C]17.8748306534125[/C][/ROW]
[ROW][C]0.845[/C][C]601.794013046086[/C][C]18.5643456892885[/C][/ROW]
[ROW][C]0.85[/C][C]604.178349308803[/C][C]19.2560135552573[/C][/ROW]
[ROW][C]0.855[/C][C]606.686714300366[/C][C]19.9490231145289[/C][/ROW]
[ROW][C]0.86[/C][C]609.324131789529[/C][C]20.6431778102266[/C][/ROW]
[ROW][C]0.865[/C][C]612.095308819006[/C][C]21.3403098716003[/C][/ROW]
[ROW][C]0.87[/C][C]615.004356269554[/C][C]22.0408198538406[/C][/ROW]
[ROW][C]0.875[/C][C]618.054378728557[/C][C]22.7438499051681[/C][/ROW]
[ROW][C]0.88[/C][C]621.246931701011[/C][C]23.4442259802663[/C][/ROW]
[ROW][C]0.885[/C][C]624.581366005656[/C][C]24.1315664314186[/C][/ROW]
[ROW][C]0.89[/C][C]628.05410670517[/C][C]24.7867507506114[/C][/ROW]
[ROW][C]0.895[/C][C]631.657944831087[/C][C]25.3833178868040[/C][/ROW]
[ROW][C]0.9[/C][C]635.381450738749[/C][C]25.8863321429365[/C][/ROW]
[ROW][C]0.905[/C][C]639.208643050438[/C][C]26.2536631069494[/C][/ROW]
[ROW][C]0.91[/C][C]643.119060635084[/C][C]26.4404264102522[/C][/ROW]
[ROW][C]0.915[/C][C]647.088380199082[/C][C]26.4031248118517[/C][/ROW]
[ROW][C]0.92[/C][C]651.089692178406[/C][C]26.1053035772352[/C][/ROW]
[ROW][C]0.925[/C][C]655.095486769161[/C][C]25.5228949451342[/C][/ROW]
[ROW][C]0.93[/C][C]659.080305279433[/C][C]24.6518835436601[/C][/ROW]
[ROW][C]0.935[/C][C]663.023876139061[/C][C]23.5125319394310[/C][/ROW]
[ROW][C]0.94[/C][C]666.914378604243[/C][C]22.1528105195090[/C][/ROW]
[ROW][C]0.945[/C][C]670.751263588899[/C][C]20.6493825648523[/C][/ROW]
[ROW][C]0.95[/C][C]674.546823624024[/C][C]19.1060617878135[/C][/ROW]
[ROW][C]0.955[/C][C]678.325478417742[/C][C]17.6470597520175[/C][/ROW]
[ROW][C]0.96[/C][C]682.119605708823[/C][C]16.4053369687043[/C][/ROW]
[ROW][C]0.965[/C][C]685.960839027665[/C][C]15.5045524925099[/C][/ROW]
[ROW][C]0.97[/C][C]689.866289292566[/C][C]15.0336856969497[/C][/ROW]
[ROW][C]0.975[/C][C]693.820389164395[/C][C]15.0251162310718[/C][/ROW]
[ROW][C]0.98[/C][C]697.755215606824[/C][C]15.4408331894749[/C][/ROW]
[ROW][C]0.985[/C][C]701.535149881825[/C][C]16.1781468951347[/C][/ROW]
[ROW][C]0.99[/C][C]704.954910257403[/C][C]17.0825169900923[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47193&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47193&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:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01364.20027812724715.3209061743443
0.015367.49617049276415.4348627171165
0.02371.28264148455715.9748906227190
0.025375.39228781832316.9113251622223
0.03379.69657196885418.1035406145818
0.035384.10534899955619.3748768379127
0.04388.55788046975420.5695803037985
0.045393.0119859188321.5763089950519
0.05397.4351182079322.3291321108046
0.055401.7987016593122.8004347803758
0.06406.07552831242822.9892551713583
0.065410.23932127313822.9143887695473
0.07414.26547632826522.6043320824754
0.075418.13219610919222.0938450124469
0.08421.82152202434421.4192040786923
0.085425.32002768855520.6163056239282
0.09428.6191174794619.7207403443106
0.095431.71497419296218.7646312068821
0.1434.60823995376217.7801578365352
0.105437.30351806190116.7956690752063
0.11439.80876973093915.8375449767599
0.115442.13466145324614.9282876392075
0.12444.2939026465914.0872229744146
0.125446.30060155535213.3288001512319
0.13448.16965984787612.662546733836
0.135449.91622166465712.0939805678307
0.14451.55518960572211.6224185762714
0.145453.10081722376811.2432370519898
0.15454.56638442639910.9480673880037
0.155455.96395863793810.7260470933557
0.16457.30424078288910.5647362513260
0.165458.59649143483310.4501612701188
0.17459.84852915893710.3705381919777
0.175461.06679043890610.3149408541777
0.18462.25643879452410.273251943886
0.185463.42150982730810.2383911001372
0.19464.5650789425910.2044960978410
0.195465.6894392743210.1686048131412
0.2466.79627872368210.1285480770967
0.205467.88684683237310.0835000916394
0.21468.96210426434810.0352152531129
0.215470.0228498001369.98534901911467
0.22471.0698218157229.93620820050802
0.225472.103773114339.89042293924196
0.23473.1255196269899.85080411479412
0.235474.1359648492829.8195388652095
0.24475.1361029160659.79889153405026
0.245476.1270039339759.79003048275207
0.25477.1097856110379.79435061534403
0.255478.0855753733289.8104810317513
0.26479.0554670784459.8387425904521
0.265480.0204761664279.8772311500909
0.27480.9814966738869.92373494822994
0.275481.9392630186269.97561018678996
0.28482.89431887882310.0300457709983
0.285483.84699487801610.0834370397942
0.29484.79739617501210.1326656753168
0.295485.74540047128310.1757328462546
0.3486.69066640795110.2089045683645
0.305487.63265184495510.2296316234144
0.31488.57064110738310.2358275813521
0.315489.5037799546610.2263627119704
0.32490.4311167801510.2000303966187
0.325491.35164838133510.1567235467655
0.33492.26436855076710.0969493519648
0.335493.16831771986110.0212782512972
0.34494.0626319336779.93183587432607
0.345494.946589536279.83022830961826
0.35495.8196540928399.71979162194318
0.355496.6815122566099.6035775902565
0.36497.5321054944849.48542215958124
0.365498.3716548063069.36881828722538
0.37499.2006777988439.25762132852685
0.375500.0199976996849.15825687648177
0.38500.8307441117329.07235148098347
0.385501.6343455111979.00608229295194
0.39502.4325136780388.96183552391646
0.395503.2272204161168.94529394758056
0.4504.0206670710438.95790370254654
0.405504.8152474877159.003715640996
0.41505.6135051686899.08368747555222
0.415506.4180855008049.19965324839204
0.42507.2316840126199.35156994171638
0.425508.0569917106069.53911065700701
0.43508.8966386179559.76127343228011
0.435509.75313670544810.0155850473214
0.44510.62882345727610.2986913687877
0.445511.52580735245110.6080188751014
0.45512.44591656061410.9383111300048
0.455513.39065214445311.2854384963307
0.46514.36114702463611.6426059471875
0.465515.3581318922412.0056814801758
0.47516.38190914425612.3683238551764
0.475517.43233576736912.7244448314554
0.48518.50881590342913.0675152742430
0.485519.61030359865913.3926673807748
0.49520.73531597228913.6933041906891
0.495521.88195674608513.9649005931299
0.5523.04794976390714.2016937789088
0.505524.23068181188714.4004913472463
0.51525.42725373850614.55780523934
0.515526.63453858416514.6711825060026
0.52527.8492451761814.7388689893259
0.525529.06798544085614.7596671135233
0.53530.28734354121714.7336817258913
0.535531.50394487591414.6629948756765
0.54532.71452297748414.5478206855346
0.545533.91598242828514.3932202537979
0.55535.10545606757114.2002960942219
0.555536.28035498697813.9749046942088
0.56537.43841009370413.7212470442573
0.565538.57770434750013.4439610509256
0.57539.69669513320813.1488468664883
0.575540.79422659753112.8402386086002
0.58541.86953213930612.5249358067316
0.585542.92222757948712.2070205845652
0.59543.95229583525811.8920552311858
0.595544.96006416933911.5837151803721
0.6545.94617527152811.2863323447293
0.605546.91155354946111.0039215953543
0.61547.85736805810110.7384142581777
0.615548.78499348532510.4919886320228
0.62549.69597054026410.2673995923875
0.625550.59196697097510.0642319311931
0.63551.4747402799279.88406874721968
0.635552.3461030222369.72697012397489
0.64553.2078913756699.59199022430336
0.645554.0619374756329.4786933970303
0.65554.9100458240139.38662913182217
0.655555.7539739172059.31371348485191
0.66556.5954171033639.2590796129605
0.665557.4359975763549.22211697650277
0.67558.2772573465049.20074057048205
0.675559.1206549956569.19345987363162
0.68559.9675660238819.1986587798376
0.685560.8192866228079.21684377488107
0.69561.6770407595969.24437932509667
0.695562.5419905179499.2817246483906
0.7563.4152497087239.32752750838402
0.705564.2979008218639.38085576854178
0.71565.191015431399.44187634324252
0.715566.0956781737039.5089481074153
0.72567.0130143837049.58345691790489
0.725567.9442213816629.66467373478456
0.73568.890603247169.75374385025345
0.735569.8536086896969.85084243157373
0.74570.8348713298859.95786904957952
0.745571.83625135037810.0766578484782
0.75572.85987708170210.2088887477364
0.755573.90818468753210.3574211426745
0.76574.9839537507210.5252732243065
0.765576.09033629118310.7157004214252
0.77577.23087663242610.9331042327173
0.775578.40951963955911.1812706752803
0.78579.63060523563411.46417062248
0.785580.89884780473611.7854389379147
0.79582.21930011857812.1474690856481
0.795583.5973027443212.5534728919477
0.8585.03842141615413.0038642903047
0.805586.54837643117413.4981583522945
0.81588.13296954793214.0348733678026
0.815589.79801485709914.6102023400547
0.82591.54928035879215.2195289944300
0.825593.39244622346815.8567664258882
0.83595.33308368699916.5157677230542
0.835597.37665509976117.1903119123105
0.84599.52853085518517.8748306534125
0.845601.79401304608618.5643456892885
0.85604.17834930880319.2560135552573
0.855606.68671430036619.9490231145289
0.86609.32413178952920.6431778102266
0.865612.09530881900621.3403098716003
0.87615.00435626955422.0408198538406
0.875618.05437872855722.7438499051681
0.88621.24693170101123.4442259802663
0.885624.58136600565624.1315664314186
0.89628.0541067051724.7867507506114
0.895631.65794483108725.3833178868040
0.9635.38145073874925.8863321429365
0.905639.20864305043826.2536631069494
0.91643.11906063508426.4404264102522
0.915647.08838019908226.4031248118517
0.92651.08969217840626.1053035772352
0.925655.09548676916125.5228949451342
0.93659.08030527943324.6518835436601
0.935663.02387613906123.5125319394310
0.94666.91437860424322.1528105195090
0.945670.75126358889920.6493825648523
0.95674.54682362402419.1060617878135
0.955678.32547841774217.6470597520175
0.96682.11960570882316.4053369687043
0.965685.96083902766515.5045524925099
0.97689.86628929256615.0336856969497
0.975693.82038916439515.0251162310718
0.98697.75521560682415.4408331894749
0.985701.53514988182516.1781468951347
0.99704.95491025740317.0825169900923


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')