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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 28 Oct 2008 00:25:06 -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/2008/Oct/28/t1225175232kccl09526d5akir.htm/, Retrieved Sun, 19 May 2024 21:35:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19734, Retrieved Sun, 19 May 2024 21:35:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F    D    [Harrell-Davis Quantiles] [q9 association di...] [2008-10-28 06:25:06] [ba53780e6ef414874481f097d8d35fc7] [Current]
Feedback Forum
2008-11-03 11:25:08 [Dries Van Gheluwe] [reply] 
Goede keuze van het model. Er wordt wel geen rekening gehouden met de standaardafwijking zoals in Q5. Ik kan alvast niet afleiden uit je conclusie dat je hiermee rekening hebt gehouden.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
554
447
453
455
463
466
448
452
433
449
479
529
462
416
456
448
478
677
493
457
469
492
484
476
507
482
405
519
493
535
523
468
466
476
523
513
484
472
505
514
537
516
512
503
516
535
524
527
531
462
511
499
527
525
573
535
487
492
511
501
572
421
532
495
498
501
518
506
486
541
499
500
593
503
427
570
533
286
772
414
656
543
517
498
587
445
488
541
518
566
476
460

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19734&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]2 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=19734&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19734&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01327.18753713474980.9589341978416
0.015351.72523799681859.2594053014563
0.02372.94236017353640.8611560271139
0.025389.29338460713627.2864785450849
0.03400.99809929236718.4576100964243
0.035409.09287247139513.5130188396299
0.04414.74083329825611.3033868312890
0.045418.8939978973510.6675336806625
0.05422.20679441637910.7321810033042
0.055425.07383724755110.9985771540090
0.06427.70463689268111.2196330685034
0.065430.19295586749511.2807359317721
0.07432.56775616268311.1400878623679
0.075434.8262682110.7991418832568
0.08436.95379398543210.2859022200836
0.085438.9347713127349.64534085529194
0.09440.7583815993658.92862481675317
0.095442.4208114872278.18969944312774
0.1443.9254829023187.47516007548038
0.105445.2820950446.82305252548217
0.11446.5050518774766.26097365059052
0.115447.6116809263125.80448098253814
0.12448.6205270008185.45646249472309
0.125449.5499033856785.20902171974201
0.13450.4167965368875.05044119420688
0.135451.2361496907634.9629380606593
0.14452.0204984611734.92836515705181
0.145452.7798983621394.93136339543756
0.15453.5220687342144.95909067225063
0.155454.2526763514245.00164159041882
0.16454.9756906404125.05155167878567
0.165455.6937565251385.10460956156021
0.17456.4085466636615.15723452150731
0.175457.1210695626485.20920042454355
0.18457.8319221574315.25886639153772
0.185458.5414843262145.30788390451272
0.19459.2500585802595.35716875108693
0.195459.9579613788535.40716658519857
0.2460.6655738710785.45986315471155
0.205461.3733600587605.51608365857922
0.21462.0818599647975.57729306688805
0.215462.7916647562435.64390228737336
0.22463.5033801141775.71555331454027
0.225464.2175835261195.79187249364277
0.23464.9347805771335.8715320424676
0.235465.6553646703695.95374805820366
0.24466.3795838566776.03610851543694
0.245467.1075175647876.11688064913085
0.25467.8390650073496.19463076514748
0.255468.5739459419896.26614554739246
0.26469.3117133677866.33162915777511
0.265470.0517767273476.3881035655381
0.27470.793433351866.43548097619999
0.275471.5359053030326.4736336805047
0.28472.2783784762426.50246700989766
0.285473.0200408450286.52206089823067
0.29473.760117026536.53313177981306
0.295474.4978968801336.5382088737198
0.3475.2327565456916.53628274499352
0.305475.9641711006666.52953710141468
0.31476.6917187841446.51954000880536
0.315477.4150774255536.50650101432677
0.32478.1340142692346.49207192948444
0.325478.8483707661916.4758531106693
0.33479.5580440973536.45923333299598
0.335480.262967206176.44145400996426
0.34480.9630889776196.42284257863684
0.345481.6583559432586.4023382182459
0.35482.3486965618886.38065562841472
0.355483.0340087668356.35686046000484
0.36483.7141511236146.33016694112214
0.365484.3889376370966.30074389998009
0.37485.0581360062646.26707716547146
0.375485.7214689576576.22977952590205
0.38486.3786181959096.18757858359082
0.385487.0292304837826.1406507325987
0.39487.6729253914886.08903384620357
0.395488.3093043192296.0323566473495
0.4488.937960480425.96999619821592
0.405489.5584896194305.90321604218162
0.41490.1705013129455.8309379225293
0.415490.7736307573415.75410195620564
0.42491.3675509688475.67360641246888
0.425491.9519853156455.58938627777904
0.43492.5267202620885.50208040112435
0.435493.0916181390935.41212053726105
0.44493.646629668555.32132777527399
0.445494.1918058729575.23019942497023
0.45494.7273089055515.13997859644697
0.455495.2534212530015.05163955605196
0.46495.7705527041124.96709625709842
0.465496.2792444544934.88781686269153
0.47496.7801697371354.81438682141283
0.475497.2741304375594.74858973110337
0.48497.7620492710354.69278987697076
0.485498.244957265494.64744516160981
0.49498.7239765002764.61316131853656
0.495499.200298287024.59195720611876
0.5499.6751572305684.58321408960652
0.505500.1498018595454.58798749040026
0.51500.6254627504724.60532825593224
0.515501.1033192702864.63450091918553
0.52501.5844662148174.67498574784326
0.525502.0698817131614.7246654425413
0.53502.5603977917154.78313155061431
0.535503.0566749426634.84620890384414
0.54503.559181920244.91244809234331
0.545504.0681817989034.98037877680433
0.55504.5837250794915.04689893257864
0.555505.1056503347575.11013212940034
0.56505.6335925595235.16697717342258
0.565506.1669990497445.21591242086352
0.57506.705152296585.2558281922127
0.575507.2471990633335.28513884547798
0.58507.7921845306025.30272565098911
0.585508.3390901621635.3081821395666
0.59508.8868737715625.30175900670657
0.595509.4345101651925.28406997776532
0.6509.9810307057385.25545785768225
0.605510.5255601813575.21673795166940
0.61511.0673494785625.17018552934588
0.615511.6058027354365.117334893408
0.62512.1404978893095.06071120250998
0.625512.671199819985.00122000611999
0.63513.1978656149724.94156111952434
0.635513.720641834634.88416516667946
0.64514.2398540178654.83005607639868
0.645514.75598902854.78188378732913
0.65515.2696711802134.74012928608968
0.655515.781633376874.70677250883279
0.66516.292684745834.68183409229131
0.665516.8036764066754.66569113874815
0.67517.3154670909874.65827023151128
0.675517.8288902990614.65825046999993
0.68518.3447245416234.66529295479185
0.685518.863667972484.67783364864803
0.69519.3863183847334.69580405854918
0.695519.9131591429174.71647596006664
0.7520.4445511898114.73806404995769
0.705520.9807308414664.76085130016519
0.71521.5218127130764.78250157035818
0.715522.0677968473834.80185816639496
0.72522.6185789857844.81861094443121
0.725523.1739629586624.83150054205173
0.73523.7336743870064.84080706375997
0.735524.297375273884.84478791064356
0.74524.8646795914864.84432658580617
0.745525.4351705871854.83945670566404
0.75526.0084211726444.82916880090975
0.755526.5840193474694.81386573693681
0.76527.1616010627654.79411725955228
0.765527.7408931785994.76961789120514
0.77528.3217691537464.74147606635324
0.775528.9043197869824.71076280093678
0.78529.4889406870964.67934931023632
0.785530.0764371805684.65058629970557
0.79530.6681460760354.6266364064289
0.795531.2660720952294.61291915177824
0.8531.8730348413274.61450204007673
0.805532.4928198841014.63891413277690
0.81533.1303248724.69444496364866
0.815533.7916885391354.7904552312204
0.82534.4843871493944.93638150043742
0.825535.2172795587075.14244138351927
0.83536.0005791700545.41864178884445
0.835536.8457294059545.77275545448434
0.84537.7651600684186.21063679760584
0.845538.7719065142386.73387311816024
0.85539.8790834676917.34102245222544
0.855541.0992218475078.02389653527644
0.86542.4435009028998.76895340637036
0.865543.9209388381099.5562191937231
0.87545.5376410362910.3604215787388
0.875547.29624230048411.1500701376926
0.88549.19571288834711.8919231005287
0.885551.23172103148712.5538010818173
0.89553.39775017927613.1084059701081
0.895555.68715074190213.5392029590485
0.9558.09625740436813.8458159823594
0.905560.62861755937614.0512046096078
0.91563.30024565267614.2072871954941
0.915566.14563158742114.4016024586178
0.92569.22398049701514.7592614318551
0.925572.6248560585115.4405724681185
0.93576.47210086365716.6239549370895
0.935580.9247740407218.4748299362706
0.94586.17417162599721.1011019237419
0.945592.43716396587524.5115460159829
0.95599.94832611723228.5845676567389
0.955608.956126618333.0593354855255
0.96619.7295297647637.5709987750628
0.965632.57593893633541.7673155954525
0.97647.8529029669245.5418112049474
0.975665.92151310085549.3524023444261
0.98686.95234622444754.4030366007424
0.985710.50171913032162.1427221375769
0.99734.90812890954372.8902349904112

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 327.187537134749 & 80.9589341978416 \tabularnewline
0.015 & 351.725237996818 & 59.2594053014563 \tabularnewline
0.02 & 372.942360173536 & 40.8611560271139 \tabularnewline
0.025 & 389.293384607136 & 27.2864785450849 \tabularnewline
0.03 & 400.998099292367 & 18.4576100964243 \tabularnewline
0.035 & 409.092872471395 & 13.5130188396299 \tabularnewline
0.04 & 414.740833298256 & 11.3033868312890 \tabularnewline
0.045 & 418.89399789735 & 10.6675336806625 \tabularnewline
0.05 & 422.206794416379 & 10.7321810033042 \tabularnewline
0.055 & 425.073837247551 & 10.9985771540090 \tabularnewline
0.06 & 427.704636892681 & 11.2196330685034 \tabularnewline
0.065 & 430.192955867495 & 11.2807359317721 \tabularnewline
0.07 & 432.567756162683 & 11.1400878623679 \tabularnewline
0.075 & 434.82626821 & 10.7991418832568 \tabularnewline
0.08 & 436.953793985432 & 10.2859022200836 \tabularnewline
0.085 & 438.934771312734 & 9.64534085529194 \tabularnewline
0.09 & 440.758381599365 & 8.92862481675317 \tabularnewline
0.095 & 442.420811487227 & 8.18969944312774 \tabularnewline
0.1 & 443.925482902318 & 7.47516007548038 \tabularnewline
0.105 & 445.282095044 & 6.82305252548217 \tabularnewline
0.11 & 446.505051877476 & 6.26097365059052 \tabularnewline
0.115 & 447.611680926312 & 5.80448098253814 \tabularnewline
0.12 & 448.620527000818 & 5.45646249472309 \tabularnewline
0.125 & 449.549903385678 & 5.20902171974201 \tabularnewline
0.13 & 450.416796536887 & 5.05044119420688 \tabularnewline
0.135 & 451.236149690763 & 4.9629380606593 \tabularnewline
0.14 & 452.020498461173 & 4.92836515705181 \tabularnewline
0.145 & 452.779898362139 & 4.93136339543756 \tabularnewline
0.15 & 453.522068734214 & 4.95909067225063 \tabularnewline
0.155 & 454.252676351424 & 5.00164159041882 \tabularnewline
0.16 & 454.975690640412 & 5.05155167878567 \tabularnewline
0.165 & 455.693756525138 & 5.10460956156021 \tabularnewline
0.17 & 456.408546663661 & 5.15723452150731 \tabularnewline
0.175 & 457.121069562648 & 5.20920042454355 \tabularnewline
0.18 & 457.831922157431 & 5.25886639153772 \tabularnewline
0.185 & 458.541484326214 & 5.30788390451272 \tabularnewline
0.19 & 459.250058580259 & 5.35716875108693 \tabularnewline
0.195 & 459.957961378853 & 5.40716658519857 \tabularnewline
0.2 & 460.665573871078 & 5.45986315471155 \tabularnewline
0.205 & 461.373360058760 & 5.51608365857922 \tabularnewline
0.21 & 462.081859964797 & 5.57729306688805 \tabularnewline
0.215 & 462.791664756243 & 5.64390228737336 \tabularnewline
0.22 & 463.503380114177 & 5.71555331454027 \tabularnewline
0.225 & 464.217583526119 & 5.79187249364277 \tabularnewline
0.23 & 464.934780577133 & 5.8715320424676 \tabularnewline
0.235 & 465.655364670369 & 5.95374805820366 \tabularnewline
0.24 & 466.379583856677 & 6.03610851543694 \tabularnewline
0.245 & 467.107517564787 & 6.11688064913085 \tabularnewline
0.25 & 467.839065007349 & 6.19463076514748 \tabularnewline
0.255 & 468.573945941989 & 6.26614554739246 \tabularnewline
0.26 & 469.311713367786 & 6.33162915777511 \tabularnewline
0.265 & 470.051776727347 & 6.3881035655381 \tabularnewline
0.27 & 470.79343335186 & 6.43548097619999 \tabularnewline
0.275 & 471.535905303032 & 6.4736336805047 \tabularnewline
0.28 & 472.278378476242 & 6.50246700989766 \tabularnewline
0.285 & 473.020040845028 & 6.52206089823067 \tabularnewline
0.29 & 473.76011702653 & 6.53313177981306 \tabularnewline
0.295 & 474.497896880133 & 6.5382088737198 \tabularnewline
0.3 & 475.232756545691 & 6.53628274499352 \tabularnewline
0.305 & 475.964171100666 & 6.52953710141468 \tabularnewline
0.31 & 476.691718784144 & 6.51954000880536 \tabularnewline
0.315 & 477.415077425553 & 6.50650101432677 \tabularnewline
0.32 & 478.134014269234 & 6.49207192948444 \tabularnewline
0.325 & 478.848370766191 & 6.4758531106693 \tabularnewline
0.33 & 479.558044097353 & 6.45923333299598 \tabularnewline
0.335 & 480.26296720617 & 6.44145400996426 \tabularnewline
0.34 & 480.963088977619 & 6.42284257863684 \tabularnewline
0.345 & 481.658355943258 & 6.4023382182459 \tabularnewline
0.35 & 482.348696561888 & 6.38065562841472 \tabularnewline
0.355 & 483.034008766835 & 6.35686046000484 \tabularnewline
0.36 & 483.714151123614 & 6.33016694112214 \tabularnewline
0.365 & 484.388937637096 & 6.30074389998009 \tabularnewline
0.37 & 485.058136006264 & 6.26707716547146 \tabularnewline
0.375 & 485.721468957657 & 6.22977952590205 \tabularnewline
0.38 & 486.378618195909 & 6.18757858359082 \tabularnewline
0.385 & 487.029230483782 & 6.1406507325987 \tabularnewline
0.39 & 487.672925391488 & 6.08903384620357 \tabularnewline
0.395 & 488.309304319229 & 6.0323566473495 \tabularnewline
0.4 & 488.93796048042 & 5.96999619821592 \tabularnewline
0.405 & 489.558489619430 & 5.90321604218162 \tabularnewline
0.41 & 490.170501312945 & 5.8309379225293 \tabularnewline
0.415 & 490.773630757341 & 5.75410195620564 \tabularnewline
0.42 & 491.367550968847 & 5.67360641246888 \tabularnewline
0.425 & 491.951985315645 & 5.58938627777904 \tabularnewline
0.43 & 492.526720262088 & 5.50208040112435 \tabularnewline
0.435 & 493.091618139093 & 5.41212053726105 \tabularnewline
0.44 & 493.64662966855 & 5.32132777527399 \tabularnewline
0.445 & 494.191805872957 & 5.23019942497023 \tabularnewline
0.45 & 494.727308905551 & 5.13997859644697 \tabularnewline
0.455 & 495.253421253001 & 5.05163955605196 \tabularnewline
0.46 & 495.770552704112 & 4.96709625709842 \tabularnewline
0.465 & 496.279244454493 & 4.88781686269153 \tabularnewline
0.47 & 496.780169737135 & 4.81438682141283 \tabularnewline
0.475 & 497.274130437559 & 4.74858973110337 \tabularnewline
0.48 & 497.762049271035 & 4.69278987697076 \tabularnewline
0.485 & 498.24495726549 & 4.64744516160981 \tabularnewline
0.49 & 498.723976500276 & 4.61316131853656 \tabularnewline
0.495 & 499.20029828702 & 4.59195720611876 \tabularnewline
0.5 & 499.675157230568 & 4.58321408960652 \tabularnewline
0.505 & 500.149801859545 & 4.58798749040026 \tabularnewline
0.51 & 500.625462750472 & 4.60532825593224 \tabularnewline
0.515 & 501.103319270286 & 4.63450091918553 \tabularnewline
0.52 & 501.584466214817 & 4.67498574784326 \tabularnewline
0.525 & 502.069881713161 & 4.7246654425413 \tabularnewline
0.53 & 502.560397791715 & 4.78313155061431 \tabularnewline
0.535 & 503.056674942663 & 4.84620890384414 \tabularnewline
0.54 & 503.55918192024 & 4.91244809234331 \tabularnewline
0.545 & 504.068181798903 & 4.98037877680433 \tabularnewline
0.55 & 504.583725079491 & 5.04689893257864 \tabularnewline
0.555 & 505.105650334757 & 5.11013212940034 \tabularnewline
0.56 & 505.633592559523 & 5.16697717342258 \tabularnewline
0.565 & 506.166999049744 & 5.21591242086352 \tabularnewline
0.57 & 506.70515229658 & 5.2558281922127 \tabularnewline
0.575 & 507.247199063333 & 5.28513884547798 \tabularnewline
0.58 & 507.792184530602 & 5.30272565098911 \tabularnewline
0.585 & 508.339090162163 & 5.3081821395666 \tabularnewline
0.59 & 508.886873771562 & 5.30175900670657 \tabularnewline
0.595 & 509.434510165192 & 5.28406997776532 \tabularnewline
0.6 & 509.981030705738 & 5.25545785768225 \tabularnewline
0.605 & 510.525560181357 & 5.21673795166940 \tabularnewline
0.61 & 511.067349478562 & 5.17018552934588 \tabularnewline
0.615 & 511.605802735436 & 5.117334893408 \tabularnewline
0.62 & 512.140497889309 & 5.06071120250998 \tabularnewline
0.625 & 512.67119981998 & 5.00122000611999 \tabularnewline
0.63 & 513.197865614972 & 4.94156111952434 \tabularnewline
0.635 & 513.72064183463 & 4.88416516667946 \tabularnewline
0.64 & 514.239854017865 & 4.83005607639868 \tabularnewline
0.645 & 514.7559890285 & 4.78188378732913 \tabularnewline
0.65 & 515.269671180213 & 4.74012928608968 \tabularnewline
0.655 & 515.78163337687 & 4.70677250883279 \tabularnewline
0.66 & 516.29268474583 & 4.68183409229131 \tabularnewline
0.665 & 516.803676406675 & 4.66569113874815 \tabularnewline
0.67 & 517.315467090987 & 4.65827023151128 \tabularnewline
0.675 & 517.828890299061 & 4.65825046999993 \tabularnewline
0.68 & 518.344724541623 & 4.66529295479185 \tabularnewline
0.685 & 518.86366797248 & 4.67783364864803 \tabularnewline
0.69 & 519.386318384733 & 4.69580405854918 \tabularnewline
0.695 & 519.913159142917 & 4.71647596006664 \tabularnewline
0.7 & 520.444551189811 & 4.73806404995769 \tabularnewline
0.705 & 520.980730841466 & 4.76085130016519 \tabularnewline
0.71 & 521.521812713076 & 4.78250157035818 \tabularnewline
0.715 & 522.067796847383 & 4.80185816639496 \tabularnewline
0.72 & 522.618578985784 & 4.81861094443121 \tabularnewline
0.725 & 523.173962958662 & 4.83150054205173 \tabularnewline
0.73 & 523.733674387006 & 4.84080706375997 \tabularnewline
0.735 & 524.29737527388 & 4.84478791064356 \tabularnewline
0.74 & 524.864679591486 & 4.84432658580617 \tabularnewline
0.745 & 525.435170587185 & 4.83945670566404 \tabularnewline
0.75 & 526.008421172644 & 4.82916880090975 \tabularnewline
0.755 & 526.584019347469 & 4.81386573693681 \tabularnewline
0.76 & 527.161601062765 & 4.79411725955228 \tabularnewline
0.765 & 527.740893178599 & 4.76961789120514 \tabularnewline
0.77 & 528.321769153746 & 4.74147606635324 \tabularnewline
0.775 & 528.904319786982 & 4.71076280093678 \tabularnewline
0.78 & 529.488940687096 & 4.67934931023632 \tabularnewline
0.785 & 530.076437180568 & 4.65058629970557 \tabularnewline
0.79 & 530.668146076035 & 4.6266364064289 \tabularnewline
0.795 & 531.266072095229 & 4.61291915177824 \tabularnewline
0.8 & 531.873034841327 & 4.61450204007673 \tabularnewline
0.805 & 532.492819884101 & 4.63891413277690 \tabularnewline
0.81 & 533.130324872 & 4.69444496364866 \tabularnewline
0.815 & 533.791688539135 & 4.7904552312204 \tabularnewline
0.82 & 534.484387149394 & 4.93638150043742 \tabularnewline
0.825 & 535.217279558707 & 5.14244138351927 \tabularnewline
0.83 & 536.000579170054 & 5.41864178884445 \tabularnewline
0.835 & 536.845729405954 & 5.77275545448434 \tabularnewline
0.84 & 537.765160068418 & 6.21063679760584 \tabularnewline
0.845 & 538.771906514238 & 6.73387311816024 \tabularnewline
0.85 & 539.879083467691 & 7.34102245222544 \tabularnewline
0.855 & 541.099221847507 & 8.02389653527644 \tabularnewline
0.86 & 542.443500902899 & 8.76895340637036 \tabularnewline
0.865 & 543.920938838109 & 9.5562191937231 \tabularnewline
0.87 & 545.53764103629 & 10.3604215787388 \tabularnewline
0.875 & 547.296242300484 & 11.1500701376926 \tabularnewline
0.88 & 549.195712888347 & 11.8919231005287 \tabularnewline
0.885 & 551.231721031487 & 12.5538010818173 \tabularnewline
0.89 & 553.397750179276 & 13.1084059701081 \tabularnewline
0.895 & 555.687150741902 & 13.5392029590485 \tabularnewline
0.9 & 558.096257404368 & 13.8458159823594 \tabularnewline
0.905 & 560.628617559376 & 14.0512046096078 \tabularnewline
0.91 & 563.300245652676 & 14.2072871954941 \tabularnewline
0.915 & 566.145631587421 & 14.4016024586178 \tabularnewline
0.92 & 569.223980497015 & 14.7592614318551 \tabularnewline
0.925 & 572.62485605851 & 15.4405724681185 \tabularnewline
0.93 & 576.472100863657 & 16.6239549370895 \tabularnewline
0.935 & 580.92477404072 & 18.4748299362706 \tabularnewline
0.94 & 586.174171625997 & 21.1011019237419 \tabularnewline
0.945 & 592.437163965875 & 24.5115460159829 \tabularnewline
0.95 & 599.948326117232 & 28.5845676567389 \tabularnewline
0.955 & 608.9561266183 & 33.0593354855255 \tabularnewline
0.96 & 619.72952976476 & 37.5709987750628 \tabularnewline
0.965 & 632.575938936335 & 41.7673155954525 \tabularnewline
0.97 & 647.85290296692 & 45.5418112049474 \tabularnewline
0.975 & 665.921513100855 & 49.3524023444261 \tabularnewline
0.98 & 686.952346224447 & 54.4030366007424 \tabularnewline
0.985 & 710.501719130321 & 62.1427221375769 \tabularnewline
0.99 & 734.908128909543 & 72.8902349904112 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19734&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]327.187537134749[/C][C]80.9589341978416[/C][/ROW]
[ROW][C]0.015[/C][C]351.725237996818[/C][C]59.2594053014563[/C][/ROW]
[ROW][C]0.02[/C][C]372.942360173536[/C][C]40.8611560271139[/C][/ROW]
[ROW][C]0.025[/C][C]389.293384607136[/C][C]27.2864785450849[/C][/ROW]
[ROW][C]0.03[/C][C]400.998099292367[/C][C]18.4576100964243[/C][/ROW]
[ROW][C]0.035[/C][C]409.092872471395[/C][C]13.5130188396299[/C][/ROW]
[ROW][C]0.04[/C][C]414.740833298256[/C][C]11.3033868312890[/C][/ROW]
[ROW][C]0.045[/C][C]418.89399789735[/C][C]10.6675336806625[/C][/ROW]
[ROW][C]0.05[/C][C]422.206794416379[/C][C]10.7321810033042[/C][/ROW]
[ROW][C]0.055[/C][C]425.073837247551[/C][C]10.9985771540090[/C][/ROW]
[ROW][C]0.06[/C][C]427.704636892681[/C][C]11.2196330685034[/C][/ROW]
[ROW][C]0.065[/C][C]430.192955867495[/C][C]11.2807359317721[/C][/ROW]
[ROW][C]0.07[/C][C]432.567756162683[/C][C]11.1400878623679[/C][/ROW]
[ROW][C]0.075[/C][C]434.82626821[/C][C]10.7991418832568[/C][/ROW]
[ROW][C]0.08[/C][C]436.953793985432[/C][C]10.2859022200836[/C][/ROW]
[ROW][C]0.085[/C][C]438.934771312734[/C][C]9.64534085529194[/C][/ROW]
[ROW][C]0.09[/C][C]440.758381599365[/C][C]8.92862481675317[/C][/ROW]
[ROW][C]0.095[/C][C]442.420811487227[/C][C]8.18969944312774[/C][/ROW]
[ROW][C]0.1[/C][C]443.925482902318[/C][C]7.47516007548038[/C][/ROW]
[ROW][C]0.105[/C][C]445.282095044[/C][C]6.82305252548217[/C][/ROW]
[ROW][C]0.11[/C][C]446.505051877476[/C][C]6.26097365059052[/C][/ROW]
[ROW][C]0.115[/C][C]447.611680926312[/C][C]5.80448098253814[/C][/ROW]
[ROW][C]0.12[/C][C]448.620527000818[/C][C]5.45646249472309[/C][/ROW]
[ROW][C]0.125[/C][C]449.549903385678[/C][C]5.20902171974201[/C][/ROW]
[ROW][C]0.13[/C][C]450.416796536887[/C][C]5.05044119420688[/C][/ROW]
[ROW][C]0.135[/C][C]451.236149690763[/C][C]4.9629380606593[/C][/ROW]
[ROW][C]0.14[/C][C]452.020498461173[/C][C]4.92836515705181[/C][/ROW]
[ROW][C]0.145[/C][C]452.779898362139[/C][C]4.93136339543756[/C][/ROW]
[ROW][C]0.15[/C][C]453.522068734214[/C][C]4.95909067225063[/C][/ROW]
[ROW][C]0.155[/C][C]454.252676351424[/C][C]5.00164159041882[/C][/ROW]
[ROW][C]0.16[/C][C]454.975690640412[/C][C]5.05155167878567[/C][/ROW]
[ROW][C]0.165[/C][C]455.693756525138[/C][C]5.10460956156021[/C][/ROW]
[ROW][C]0.17[/C][C]456.408546663661[/C][C]5.15723452150731[/C][/ROW]
[ROW][C]0.175[/C][C]457.121069562648[/C][C]5.20920042454355[/C][/ROW]
[ROW][C]0.18[/C][C]457.831922157431[/C][C]5.25886639153772[/C][/ROW]
[ROW][C]0.185[/C][C]458.541484326214[/C][C]5.30788390451272[/C][/ROW]
[ROW][C]0.19[/C][C]459.250058580259[/C][C]5.35716875108693[/C][/ROW]
[ROW][C]0.195[/C][C]459.957961378853[/C][C]5.40716658519857[/C][/ROW]
[ROW][C]0.2[/C][C]460.665573871078[/C][C]5.45986315471155[/C][/ROW]
[ROW][C]0.205[/C][C]461.373360058760[/C][C]5.51608365857922[/C][/ROW]
[ROW][C]0.21[/C][C]462.081859964797[/C][C]5.57729306688805[/C][/ROW]
[ROW][C]0.215[/C][C]462.791664756243[/C][C]5.64390228737336[/C][/ROW]
[ROW][C]0.22[/C][C]463.503380114177[/C][C]5.71555331454027[/C][/ROW]
[ROW][C]0.225[/C][C]464.217583526119[/C][C]5.79187249364277[/C][/ROW]
[ROW][C]0.23[/C][C]464.934780577133[/C][C]5.8715320424676[/C][/ROW]
[ROW][C]0.235[/C][C]465.655364670369[/C][C]5.95374805820366[/C][/ROW]
[ROW][C]0.24[/C][C]466.379583856677[/C][C]6.03610851543694[/C][/ROW]
[ROW][C]0.245[/C][C]467.107517564787[/C][C]6.11688064913085[/C][/ROW]
[ROW][C]0.25[/C][C]467.839065007349[/C][C]6.19463076514748[/C][/ROW]
[ROW][C]0.255[/C][C]468.573945941989[/C][C]6.26614554739246[/C][/ROW]
[ROW][C]0.26[/C][C]469.311713367786[/C][C]6.33162915777511[/C][/ROW]
[ROW][C]0.265[/C][C]470.051776727347[/C][C]6.3881035655381[/C][/ROW]
[ROW][C]0.27[/C][C]470.79343335186[/C][C]6.43548097619999[/C][/ROW]
[ROW][C]0.275[/C][C]471.535905303032[/C][C]6.4736336805047[/C][/ROW]
[ROW][C]0.28[/C][C]472.278378476242[/C][C]6.50246700989766[/C][/ROW]
[ROW][C]0.285[/C][C]473.020040845028[/C][C]6.52206089823067[/C][/ROW]
[ROW][C]0.29[/C][C]473.76011702653[/C][C]6.53313177981306[/C][/ROW]
[ROW][C]0.295[/C][C]474.497896880133[/C][C]6.5382088737198[/C][/ROW]
[ROW][C]0.3[/C][C]475.232756545691[/C][C]6.53628274499352[/C][/ROW]
[ROW][C]0.305[/C][C]475.964171100666[/C][C]6.52953710141468[/C][/ROW]
[ROW][C]0.31[/C][C]476.691718784144[/C][C]6.51954000880536[/C][/ROW]
[ROW][C]0.315[/C][C]477.415077425553[/C][C]6.50650101432677[/C][/ROW]
[ROW][C]0.32[/C][C]478.134014269234[/C][C]6.49207192948444[/C][/ROW]
[ROW][C]0.325[/C][C]478.848370766191[/C][C]6.4758531106693[/C][/ROW]
[ROW][C]0.33[/C][C]479.558044097353[/C][C]6.45923333299598[/C][/ROW]
[ROW][C]0.335[/C][C]480.26296720617[/C][C]6.44145400996426[/C][/ROW]
[ROW][C]0.34[/C][C]480.963088977619[/C][C]6.42284257863684[/C][/ROW]
[ROW][C]0.345[/C][C]481.658355943258[/C][C]6.4023382182459[/C][/ROW]
[ROW][C]0.35[/C][C]482.348696561888[/C][C]6.38065562841472[/C][/ROW]
[ROW][C]0.355[/C][C]483.034008766835[/C][C]6.35686046000484[/C][/ROW]
[ROW][C]0.36[/C][C]483.714151123614[/C][C]6.33016694112214[/C][/ROW]
[ROW][C]0.365[/C][C]484.388937637096[/C][C]6.30074389998009[/C][/ROW]
[ROW][C]0.37[/C][C]485.058136006264[/C][C]6.26707716547146[/C][/ROW]
[ROW][C]0.375[/C][C]485.721468957657[/C][C]6.22977952590205[/C][/ROW]
[ROW][C]0.38[/C][C]486.378618195909[/C][C]6.18757858359082[/C][/ROW]
[ROW][C]0.385[/C][C]487.029230483782[/C][C]6.1406507325987[/C][/ROW]
[ROW][C]0.39[/C][C]487.672925391488[/C][C]6.08903384620357[/C][/ROW]
[ROW][C]0.395[/C][C]488.309304319229[/C][C]6.0323566473495[/C][/ROW]
[ROW][C]0.4[/C][C]488.93796048042[/C][C]5.96999619821592[/C][/ROW]
[ROW][C]0.405[/C][C]489.558489619430[/C][C]5.90321604218162[/C][/ROW]
[ROW][C]0.41[/C][C]490.170501312945[/C][C]5.8309379225293[/C][/ROW]
[ROW][C]0.415[/C][C]490.773630757341[/C][C]5.75410195620564[/C][/ROW]
[ROW][C]0.42[/C][C]491.367550968847[/C][C]5.67360641246888[/C][/ROW]
[ROW][C]0.425[/C][C]491.951985315645[/C][C]5.58938627777904[/C][/ROW]
[ROW][C]0.43[/C][C]492.526720262088[/C][C]5.50208040112435[/C][/ROW]
[ROW][C]0.435[/C][C]493.091618139093[/C][C]5.41212053726105[/C][/ROW]
[ROW][C]0.44[/C][C]493.64662966855[/C][C]5.32132777527399[/C][/ROW]
[ROW][C]0.445[/C][C]494.191805872957[/C][C]5.23019942497023[/C][/ROW]
[ROW][C]0.45[/C][C]494.727308905551[/C][C]5.13997859644697[/C][/ROW]
[ROW][C]0.455[/C][C]495.253421253001[/C][C]5.05163955605196[/C][/ROW]
[ROW][C]0.46[/C][C]495.770552704112[/C][C]4.96709625709842[/C][/ROW]
[ROW][C]0.465[/C][C]496.279244454493[/C][C]4.88781686269153[/C][/ROW]
[ROW][C]0.47[/C][C]496.780169737135[/C][C]4.81438682141283[/C][/ROW]
[ROW][C]0.475[/C][C]497.274130437559[/C][C]4.74858973110337[/C][/ROW]
[ROW][C]0.48[/C][C]497.762049271035[/C][C]4.69278987697076[/C][/ROW]
[ROW][C]0.485[/C][C]498.24495726549[/C][C]4.64744516160981[/C][/ROW]
[ROW][C]0.49[/C][C]498.723976500276[/C][C]4.61316131853656[/C][/ROW]
[ROW][C]0.495[/C][C]499.20029828702[/C][C]4.59195720611876[/C][/ROW]
[ROW][C]0.5[/C][C]499.675157230568[/C][C]4.58321408960652[/C][/ROW]
[ROW][C]0.505[/C][C]500.149801859545[/C][C]4.58798749040026[/C][/ROW]
[ROW][C]0.51[/C][C]500.625462750472[/C][C]4.60532825593224[/C][/ROW]
[ROW][C]0.515[/C][C]501.103319270286[/C][C]4.63450091918553[/C][/ROW]
[ROW][C]0.52[/C][C]501.584466214817[/C][C]4.67498574784326[/C][/ROW]
[ROW][C]0.525[/C][C]502.069881713161[/C][C]4.7246654425413[/C][/ROW]
[ROW][C]0.53[/C][C]502.560397791715[/C][C]4.78313155061431[/C][/ROW]
[ROW][C]0.535[/C][C]503.056674942663[/C][C]4.84620890384414[/C][/ROW]
[ROW][C]0.54[/C][C]503.55918192024[/C][C]4.91244809234331[/C][/ROW]
[ROW][C]0.545[/C][C]504.068181798903[/C][C]4.98037877680433[/C][/ROW]
[ROW][C]0.55[/C][C]504.583725079491[/C][C]5.04689893257864[/C][/ROW]
[ROW][C]0.555[/C][C]505.105650334757[/C][C]5.11013212940034[/C][/ROW]
[ROW][C]0.56[/C][C]505.633592559523[/C][C]5.16697717342258[/C][/ROW]
[ROW][C]0.565[/C][C]506.166999049744[/C][C]5.21591242086352[/C][/ROW]
[ROW][C]0.57[/C][C]506.70515229658[/C][C]5.2558281922127[/C][/ROW]
[ROW][C]0.575[/C][C]507.247199063333[/C][C]5.28513884547798[/C][/ROW]
[ROW][C]0.58[/C][C]507.792184530602[/C][C]5.30272565098911[/C][/ROW]
[ROW][C]0.585[/C][C]508.339090162163[/C][C]5.3081821395666[/C][/ROW]
[ROW][C]0.59[/C][C]508.886873771562[/C][C]5.30175900670657[/C][/ROW]
[ROW][C]0.595[/C][C]509.434510165192[/C][C]5.28406997776532[/C][/ROW]
[ROW][C]0.6[/C][C]509.981030705738[/C][C]5.25545785768225[/C][/ROW]
[ROW][C]0.605[/C][C]510.525560181357[/C][C]5.21673795166940[/C][/ROW]
[ROW][C]0.61[/C][C]511.067349478562[/C][C]5.17018552934588[/C][/ROW]
[ROW][C]0.615[/C][C]511.605802735436[/C][C]5.117334893408[/C][/ROW]
[ROW][C]0.62[/C][C]512.140497889309[/C][C]5.06071120250998[/C][/ROW]
[ROW][C]0.625[/C][C]512.67119981998[/C][C]5.00122000611999[/C][/ROW]
[ROW][C]0.63[/C][C]513.197865614972[/C][C]4.94156111952434[/C][/ROW]
[ROW][C]0.635[/C][C]513.72064183463[/C][C]4.88416516667946[/C][/ROW]
[ROW][C]0.64[/C][C]514.239854017865[/C][C]4.83005607639868[/C][/ROW]
[ROW][C]0.645[/C][C]514.7559890285[/C][C]4.78188378732913[/C][/ROW]
[ROW][C]0.65[/C][C]515.269671180213[/C][C]4.74012928608968[/C][/ROW]
[ROW][C]0.655[/C][C]515.78163337687[/C][C]4.70677250883279[/C][/ROW]
[ROW][C]0.66[/C][C]516.29268474583[/C][C]4.68183409229131[/C][/ROW]
[ROW][C]0.665[/C][C]516.803676406675[/C][C]4.66569113874815[/C][/ROW]
[ROW][C]0.67[/C][C]517.315467090987[/C][C]4.65827023151128[/C][/ROW]
[ROW][C]0.675[/C][C]517.828890299061[/C][C]4.65825046999993[/C][/ROW]
[ROW][C]0.68[/C][C]518.344724541623[/C][C]4.66529295479185[/C][/ROW]
[ROW][C]0.685[/C][C]518.86366797248[/C][C]4.67783364864803[/C][/ROW]
[ROW][C]0.69[/C][C]519.386318384733[/C][C]4.69580405854918[/C][/ROW]
[ROW][C]0.695[/C][C]519.913159142917[/C][C]4.71647596006664[/C][/ROW]
[ROW][C]0.7[/C][C]520.444551189811[/C][C]4.73806404995769[/C][/ROW]
[ROW][C]0.705[/C][C]520.980730841466[/C][C]4.76085130016519[/C][/ROW]
[ROW][C]0.71[/C][C]521.521812713076[/C][C]4.78250157035818[/C][/ROW]
[ROW][C]0.715[/C][C]522.067796847383[/C][C]4.80185816639496[/C][/ROW]
[ROW][C]0.72[/C][C]522.618578985784[/C][C]4.81861094443121[/C][/ROW]
[ROW][C]0.725[/C][C]523.173962958662[/C][C]4.83150054205173[/C][/ROW]
[ROW][C]0.73[/C][C]523.733674387006[/C][C]4.84080706375997[/C][/ROW]
[ROW][C]0.735[/C][C]524.29737527388[/C][C]4.84478791064356[/C][/ROW]
[ROW][C]0.74[/C][C]524.864679591486[/C][C]4.84432658580617[/C][/ROW]
[ROW][C]0.745[/C][C]525.435170587185[/C][C]4.83945670566404[/C][/ROW]
[ROW][C]0.75[/C][C]526.008421172644[/C][C]4.82916880090975[/C][/ROW]
[ROW][C]0.755[/C][C]526.584019347469[/C][C]4.81386573693681[/C][/ROW]
[ROW][C]0.76[/C][C]527.161601062765[/C][C]4.79411725955228[/C][/ROW]
[ROW][C]0.765[/C][C]527.740893178599[/C][C]4.76961789120514[/C][/ROW]
[ROW][C]0.77[/C][C]528.321769153746[/C][C]4.74147606635324[/C][/ROW]
[ROW][C]0.775[/C][C]528.904319786982[/C][C]4.71076280093678[/C][/ROW]
[ROW][C]0.78[/C][C]529.488940687096[/C][C]4.67934931023632[/C][/ROW]
[ROW][C]0.785[/C][C]530.076437180568[/C][C]4.65058629970557[/C][/ROW]
[ROW][C]0.79[/C][C]530.668146076035[/C][C]4.6266364064289[/C][/ROW]
[ROW][C]0.795[/C][C]531.266072095229[/C][C]4.61291915177824[/C][/ROW]
[ROW][C]0.8[/C][C]531.873034841327[/C][C]4.61450204007673[/C][/ROW]
[ROW][C]0.805[/C][C]532.492819884101[/C][C]4.63891413277690[/C][/ROW]
[ROW][C]0.81[/C][C]533.130324872[/C][C]4.69444496364866[/C][/ROW]
[ROW][C]0.815[/C][C]533.791688539135[/C][C]4.7904552312204[/C][/ROW]
[ROW][C]0.82[/C][C]534.484387149394[/C][C]4.93638150043742[/C][/ROW]
[ROW][C]0.825[/C][C]535.217279558707[/C][C]5.14244138351927[/C][/ROW]
[ROW][C]0.83[/C][C]536.000579170054[/C][C]5.41864178884445[/C][/ROW]
[ROW][C]0.835[/C][C]536.845729405954[/C][C]5.77275545448434[/C][/ROW]
[ROW][C]0.84[/C][C]537.765160068418[/C][C]6.21063679760584[/C][/ROW]
[ROW][C]0.845[/C][C]538.771906514238[/C][C]6.73387311816024[/C][/ROW]
[ROW][C]0.85[/C][C]539.879083467691[/C][C]7.34102245222544[/C][/ROW]
[ROW][C]0.855[/C][C]541.099221847507[/C][C]8.02389653527644[/C][/ROW]
[ROW][C]0.86[/C][C]542.443500902899[/C][C]8.76895340637036[/C][/ROW]
[ROW][C]0.865[/C][C]543.920938838109[/C][C]9.5562191937231[/C][/ROW]
[ROW][C]0.87[/C][C]545.53764103629[/C][C]10.3604215787388[/C][/ROW]
[ROW][C]0.875[/C][C]547.296242300484[/C][C]11.1500701376926[/C][/ROW]
[ROW][C]0.88[/C][C]549.195712888347[/C][C]11.8919231005287[/C][/ROW]
[ROW][C]0.885[/C][C]551.231721031487[/C][C]12.5538010818173[/C][/ROW]
[ROW][C]0.89[/C][C]553.397750179276[/C][C]13.1084059701081[/C][/ROW]
[ROW][C]0.895[/C][C]555.687150741902[/C][C]13.5392029590485[/C][/ROW]
[ROW][C]0.9[/C][C]558.096257404368[/C][C]13.8458159823594[/C][/ROW]
[ROW][C]0.905[/C][C]560.628617559376[/C][C]14.0512046096078[/C][/ROW]
[ROW][C]0.91[/C][C]563.300245652676[/C][C]14.2072871954941[/C][/ROW]
[ROW][C]0.915[/C][C]566.145631587421[/C][C]14.4016024586178[/C][/ROW]
[ROW][C]0.92[/C][C]569.223980497015[/C][C]14.7592614318551[/C][/ROW]
[ROW][C]0.925[/C][C]572.62485605851[/C][C]15.4405724681185[/C][/ROW]
[ROW][C]0.93[/C][C]576.472100863657[/C][C]16.6239549370895[/C][/ROW]
[ROW][C]0.935[/C][C]580.92477404072[/C][C]18.4748299362706[/C][/ROW]
[ROW][C]0.94[/C][C]586.174171625997[/C][C]21.1011019237419[/C][/ROW]
[ROW][C]0.945[/C][C]592.437163965875[/C][C]24.5115460159829[/C][/ROW]
[ROW][C]0.95[/C][C]599.948326117232[/C][C]28.5845676567389[/C][/ROW]
[ROW][C]0.955[/C][C]608.9561266183[/C][C]33.0593354855255[/C][/ROW]
[ROW][C]0.96[/C][C]619.72952976476[/C][C]37.5709987750628[/C][/ROW]
[ROW][C]0.965[/C][C]632.575938936335[/C][C]41.7673155954525[/C][/ROW]
[ROW][C]0.97[/C][C]647.85290296692[/C][C]45.5418112049474[/C][/ROW]
[ROW][C]0.975[/C][C]665.921513100855[/C][C]49.3524023444261[/C][/ROW]
[ROW][C]0.98[/C][C]686.952346224447[/C][C]54.4030366007424[/C][/ROW]
[ROW][C]0.985[/C][C]710.501719130321[/C][C]62.1427221375769[/C][/ROW]
[ROW][C]0.99[/C][C]734.908128909543[/C][C]72.8902349904112[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19734&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19734&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
0.01327.18753713474980.9589341978416
0.015351.72523799681859.2594053014563
0.02372.94236017353640.8611560271139
0.025389.29338460713627.2864785450849
0.03400.99809929236718.4576100964243
0.035409.09287247139513.5130188396299
0.04414.74083329825611.3033868312890
0.045418.8939978973510.6675336806625
0.05422.20679441637910.7321810033042
0.055425.07383724755110.9985771540090
0.06427.70463689268111.2196330685034
0.065430.19295586749511.2807359317721
0.07432.56775616268311.1400878623679
0.075434.8262682110.7991418832568
0.08436.95379398543210.2859022200836
0.085438.9347713127349.64534085529194
0.09440.7583815993658.92862481675317
0.095442.4208114872278.18969944312774
0.1443.9254829023187.47516007548038
0.105445.2820950446.82305252548217
0.11446.5050518774766.26097365059052
0.115447.6116809263125.80448098253814
0.12448.6205270008185.45646249472309
0.125449.5499033856785.20902171974201
0.13450.4167965368875.05044119420688
0.135451.2361496907634.9629380606593
0.14452.0204984611734.92836515705181
0.145452.7798983621394.93136339543756
0.15453.5220687342144.95909067225063
0.155454.2526763514245.00164159041882
0.16454.9756906404125.05155167878567
0.165455.6937565251385.10460956156021
0.17456.4085466636615.15723452150731
0.175457.1210695626485.20920042454355
0.18457.8319221574315.25886639153772
0.185458.5414843262145.30788390451272
0.19459.2500585802595.35716875108693
0.195459.9579613788535.40716658519857
0.2460.6655738710785.45986315471155
0.205461.3733600587605.51608365857922
0.21462.0818599647975.57729306688805
0.215462.7916647562435.64390228737336
0.22463.5033801141775.71555331454027
0.225464.2175835261195.79187249364277
0.23464.9347805771335.8715320424676
0.235465.6553646703695.95374805820366
0.24466.3795838566776.03610851543694
0.245467.1075175647876.11688064913085
0.25467.8390650073496.19463076514748
0.255468.5739459419896.26614554739246
0.26469.3117133677866.33162915777511
0.265470.0517767273476.3881035655381
0.27470.793433351866.43548097619999
0.275471.5359053030326.4736336805047
0.28472.2783784762426.50246700989766
0.285473.0200408450286.52206089823067
0.29473.760117026536.53313177981306
0.295474.4978968801336.5382088737198
0.3475.2327565456916.53628274499352
0.305475.9641711006666.52953710141468
0.31476.6917187841446.51954000880536
0.315477.4150774255536.50650101432677
0.32478.1340142692346.49207192948444
0.325478.8483707661916.4758531106693
0.33479.5580440973536.45923333299598
0.335480.262967206176.44145400996426
0.34480.9630889776196.42284257863684
0.345481.6583559432586.4023382182459
0.35482.3486965618886.38065562841472
0.355483.0340087668356.35686046000484
0.36483.7141511236146.33016694112214
0.365484.3889376370966.30074389998009
0.37485.0581360062646.26707716547146
0.375485.7214689576576.22977952590205
0.38486.3786181959096.18757858359082
0.385487.0292304837826.1406507325987
0.39487.6729253914886.08903384620357
0.395488.3093043192296.0323566473495
0.4488.937960480425.96999619821592
0.405489.5584896194305.90321604218162
0.41490.1705013129455.8309379225293
0.415490.7736307573415.75410195620564
0.42491.3675509688475.67360641246888
0.425491.9519853156455.58938627777904
0.43492.5267202620885.50208040112435
0.435493.0916181390935.41212053726105
0.44493.646629668555.32132777527399
0.445494.1918058729575.23019942497023
0.45494.7273089055515.13997859644697
0.455495.2534212530015.05163955605196
0.46495.7705527041124.96709625709842
0.465496.2792444544934.88781686269153
0.47496.7801697371354.81438682141283
0.475497.2741304375594.74858973110337
0.48497.7620492710354.69278987697076
0.485498.244957265494.64744516160981
0.49498.7239765002764.61316131853656
0.495499.200298287024.59195720611876
0.5499.6751572305684.58321408960652
0.505500.1498018595454.58798749040026
0.51500.6254627504724.60532825593224
0.515501.1033192702864.63450091918553
0.52501.5844662148174.67498574784326
0.525502.0698817131614.7246654425413
0.53502.5603977917154.78313155061431
0.535503.0566749426634.84620890384414
0.54503.559181920244.91244809234331
0.545504.0681817989034.98037877680433
0.55504.5837250794915.04689893257864
0.555505.1056503347575.11013212940034
0.56505.6335925595235.16697717342258
0.565506.1669990497445.21591242086352
0.57506.705152296585.2558281922127
0.575507.2471990633335.28513884547798
0.58507.7921845306025.30272565098911
0.585508.3390901621635.3081821395666
0.59508.8868737715625.30175900670657
0.595509.4345101651925.28406997776532
0.6509.9810307057385.25545785768225
0.605510.5255601813575.21673795166940
0.61511.0673494785625.17018552934588
0.615511.6058027354365.117334893408
0.62512.1404978893095.06071120250998
0.625512.671199819985.00122000611999
0.63513.1978656149724.94156111952434
0.635513.720641834634.88416516667946
0.64514.2398540178654.83005607639868
0.645514.75598902854.78188378732913
0.65515.2696711802134.74012928608968
0.655515.781633376874.70677250883279
0.66516.292684745834.68183409229131
0.665516.8036764066754.66569113874815
0.67517.3154670909874.65827023151128
0.675517.8288902990614.65825046999993
0.68518.3447245416234.66529295479185
0.685518.863667972484.67783364864803
0.69519.3863183847334.69580405854918
0.695519.9131591429174.71647596006664
0.7520.4445511898114.73806404995769
0.705520.9807308414664.76085130016519
0.71521.5218127130764.78250157035818
0.715522.0677968473834.80185816639496
0.72522.6185789857844.81861094443121
0.725523.1739629586624.83150054205173
0.73523.7336743870064.84080706375997
0.735524.297375273884.84478791064356
0.74524.8646795914864.84432658580617
0.745525.4351705871854.83945670566404
0.75526.0084211726444.82916880090975
0.755526.5840193474694.81386573693681
0.76527.1616010627654.79411725955228
0.765527.7408931785994.76961789120514
0.77528.3217691537464.74147606635324
0.775528.9043197869824.71076280093678
0.78529.4889406870964.67934931023632
0.785530.0764371805684.65058629970557
0.79530.6681460760354.6266364064289
0.795531.2660720952294.61291915177824
0.8531.8730348413274.61450204007673
0.805532.4928198841014.63891413277690
0.81533.1303248724.69444496364866
0.815533.7916885391354.7904552312204
0.82534.4843871493944.93638150043742
0.825535.2172795587075.14244138351927
0.83536.0005791700545.41864178884445
0.835536.8457294059545.77275545448434
0.84537.7651600684186.21063679760584
0.845538.7719065142386.73387311816024
0.85539.8790834676917.34102245222544
0.855541.0992218475078.02389653527644
0.86542.4435009028998.76895340637036
0.865543.9209388381099.5562191937231
0.87545.5376410362910.3604215787388
0.875547.29624230048411.1500701376926
0.88549.19571288834711.8919231005287
0.885551.23172103148712.5538010818173
0.89553.39775017927613.1084059701081
0.895555.68715074190213.5392029590485
0.9558.09625740436813.8458159823594
0.905560.62861755937614.0512046096078
0.91563.30024565267614.2072871954941
0.915566.14563158742114.4016024586178
0.92569.22398049701514.7592614318551
0.925572.6248560585115.4405724681185
0.93576.47210086365716.6239549370895
0.935580.9247740407218.4748299362706
0.94586.17417162599721.1011019237419
0.945592.43716396587524.5115460159829
0.95599.94832611723228.5845676567389
0.955608.956126618333.0593354855255
0.96619.7295297647637.5709987750628
0.965632.57593893633541.7673155954525
0.97647.8529029669245.5418112049474
0.975665.92151310085549.3524023444261
0.98686.95234622444754.4030366007424
0.985710.50171913032162.1427221375769
0.99734.90812890954372.8902349904112


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')