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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 02 Jun 2009 11:05:36 -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/Jun/02/t124396236784kalqc2gmsnbqf.htm/, Retrieved Tue, 19 May 2026 09:15:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41326, Retrieved Tue, 19 May 2026 09:15:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact356

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [DECIELEN WERKLOZE...] [2009-06-02 16:58:24] [f4d91a94613ac4c8d4f7075ea31c5ee8]
-         [Harrell-Davis Quantiles] [DECIELEN WERKLOZE...] [2009-06-02 17:05:36] [cec0b6ecf0cab4e1552eba4b21b592a6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
528
533
536

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=41326&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=41326&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41326&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
0.01472.3185177599129.21068506841421
0.02477.5342187085699.59308382242416
0.03483.0503511268869.30199864547606
0.04487.9579356148068.38531473057385
0.05492.0076298357637.3315464242666
0.06495.2724994699846.43091371334802
0.07497.918063067945.72645142681529
0.08500.1026148177725.18069057084887
0.09501.9496571396024.7612834644947
0.1503.5497190065364.44625827400893
0.11504.9699879947554.22696112686300
0.12506.2632678014974.10698961828869
0.13507.4740192101274.09903099914957
0.14508.6414459640864.21260975184434
0.15509.8002160517364.44387950673273
0.16510.9796688809764.77166764390566
0.17512.2024464433035.16735501353202
0.18513.4833420279775.5953323045982
0.19514.8288476860936.0211741685536
0.2516.2375563612206.41149391535598
0.21517.7013466240486.74032207852783
0.22519.2071626601846.99023300243771
0.23520.7391566445057.15238430603823
0.24522.2809406491097.22953173766101
0.25523.817685890557.23517745070663
0.26525.3378197491527.1900915465764
0.27526.8341222174827.11990441914961
0.28528.304116124567.05283486428736
0.29529.7497626841797.0100816774822
0.3531.1765860675517.00853987282262
0.31532.5924291838487.05575204651389
0.32534.0060715643187.15028118400728
0.33535.4259200138317.28491024886868
0.34536.8589280832337.44763535853067
0.35538.309832042447.6230255606624
0.36539.7807275767817.7959709466583
0.37541.2709644601257.95164081838985
0.38542.7773091673568.07667734495173
0.39544.2943144835528.16018158500993
0.4545.8148343257618.19513078303913
0.41547.3306252162158.17674152403731
0.42548.8329795926148.104572613935
0.43550.3133398410477.98097396263406
0.44551.7638471040357.81189593829093
0.45553.1777875170187.60504165794204
0.46554.5499114138197.36911951270907
0.47555.8766171238827.11592835410061
0.48557.1560074407766.85455824776875
0.49558.3878402181836.59348580295915
0.5559.5734021810946.3414851777135
0.51560.7153361262346.10508858769474
0.52561.8174475164255.89012651551586
0.53562.8845097174735.70165290631052
0.54563.9220805317895.54346557227246
0.55564.9363378210845.42005784691521
0.56565.9339386582285.33090753796361
0.57566.9219029209715.2786810580079
0.58567.9075165312135.26516687201663
0.59568.8982407557895.28908850732423
0.6569.9016033722985.35098230378536
0.61570.9250385876865.44934989936779
0.62571.9756401894015.58297156040177
0.63573.0598008336855.74635851402043
0.64574.1827315350865.93438748156283
0.65575.3478874503516.13463039540003
0.66576.5563631326786.33381558737226
0.67577.8063539718436.51407014146542
0.68579.0928014131246.657321765794
0.69580.4073408253046.74605440622566
0.7581.738650080766.76347575128391
0.71583.0732569216736.70110685300422
0.72584.3968112224576.55604761188336
0.73585.6957726111766.33441989943364
0.74586.9594094665266.05223828544466
0.75588.1819498808195.73641202307594
0.76589.364659785415.42244965910815
0.77590.517539259795.15559136189113
0.78591.6602303708144.9863643579069
0.79592.8216539788084.96564624922504
0.8594.0379107201265.13120315543199
0.81595.3481845338635.49049164544569
0.82596.7888380702446.01227102627317
0.83598.3865497225746.6259756193259
0.84600.1520160352547.23398785805528
0.85602.0760942462887.73135573851017
0.86604.129947234258.0287557760606
0.87606.2696711059348.07419628223135
0.88608.4443738330577.86645310935283
0.89610.6054877810557.45143781345226
0.9612.7149831090586.90131503783966
0.91614.751132779336.29097675729794
0.92616.7114706213445.68290140046013
0.93618.6120260683685.13277581917094
0.94620.4797159424814.68819362664879
0.95622.3340265962014.34400250984649
0.96624.1595580415423.97766473881327
0.97625.8822434209963.38760583601329
0.98627.3677909437932.48421051496160
0.99628.4509023406451.50799181529399

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 472.318517759912 & 9.21068506841421 \tabularnewline
0.02 & 477.534218708569 & 9.59308382242416 \tabularnewline
0.03 & 483.050351126886 & 9.30199864547606 \tabularnewline
0.04 & 487.957935614806 & 8.38531473057385 \tabularnewline
0.05 & 492.007629835763 & 7.3315464242666 \tabularnewline
0.06 & 495.272499469984 & 6.43091371334802 \tabularnewline
0.07 & 497.91806306794 & 5.72645142681529 \tabularnewline
0.08 & 500.102614817772 & 5.18069057084887 \tabularnewline
0.09 & 501.949657139602 & 4.7612834644947 \tabularnewline
0.1 & 503.549719006536 & 4.44625827400893 \tabularnewline
0.11 & 504.969987994755 & 4.22696112686300 \tabularnewline
0.12 & 506.263267801497 & 4.10698961828869 \tabularnewline
0.13 & 507.474019210127 & 4.09903099914957 \tabularnewline
0.14 & 508.641445964086 & 4.21260975184434 \tabularnewline
0.15 & 509.800216051736 & 4.44387950673273 \tabularnewline
0.16 & 510.979668880976 & 4.77166764390566 \tabularnewline
0.17 & 512.202446443303 & 5.16735501353202 \tabularnewline
0.18 & 513.483342027977 & 5.5953323045982 \tabularnewline
0.19 & 514.828847686093 & 6.0211741685536 \tabularnewline
0.2 & 516.237556361220 & 6.41149391535598 \tabularnewline
0.21 & 517.701346624048 & 6.74032207852783 \tabularnewline
0.22 & 519.207162660184 & 6.99023300243771 \tabularnewline
0.23 & 520.739156644505 & 7.15238430603823 \tabularnewline
0.24 & 522.280940649109 & 7.22953173766101 \tabularnewline
0.25 & 523.81768589055 & 7.23517745070663 \tabularnewline
0.26 & 525.337819749152 & 7.1900915465764 \tabularnewline
0.27 & 526.834122217482 & 7.11990441914961 \tabularnewline
0.28 & 528.30411612456 & 7.05283486428736 \tabularnewline
0.29 & 529.749762684179 & 7.0100816774822 \tabularnewline
0.3 & 531.176586067551 & 7.00853987282262 \tabularnewline
0.31 & 532.592429183848 & 7.05575204651389 \tabularnewline
0.32 & 534.006071564318 & 7.15028118400728 \tabularnewline
0.33 & 535.425920013831 & 7.28491024886868 \tabularnewline
0.34 & 536.858928083233 & 7.44763535853067 \tabularnewline
0.35 & 538.30983204244 & 7.6230255606624 \tabularnewline
0.36 & 539.780727576781 & 7.7959709466583 \tabularnewline
0.37 & 541.270964460125 & 7.95164081838985 \tabularnewline
0.38 & 542.777309167356 & 8.07667734495173 \tabularnewline
0.39 & 544.294314483552 & 8.16018158500993 \tabularnewline
0.4 & 545.814834325761 & 8.19513078303913 \tabularnewline
0.41 & 547.330625216215 & 8.17674152403731 \tabularnewline
0.42 & 548.832979592614 & 8.104572613935 \tabularnewline
0.43 & 550.313339841047 & 7.98097396263406 \tabularnewline
0.44 & 551.763847104035 & 7.81189593829093 \tabularnewline
0.45 & 553.177787517018 & 7.60504165794204 \tabularnewline
0.46 & 554.549911413819 & 7.36911951270907 \tabularnewline
0.47 & 555.876617123882 & 7.11592835410061 \tabularnewline
0.48 & 557.156007440776 & 6.85455824776875 \tabularnewline
0.49 & 558.387840218183 & 6.59348580295915 \tabularnewline
0.5 & 559.573402181094 & 6.3414851777135 \tabularnewline
0.51 & 560.715336126234 & 6.10508858769474 \tabularnewline
0.52 & 561.817447516425 & 5.89012651551586 \tabularnewline
0.53 & 562.884509717473 & 5.70165290631052 \tabularnewline
0.54 & 563.922080531789 & 5.54346557227246 \tabularnewline
0.55 & 564.936337821084 & 5.42005784691521 \tabularnewline
0.56 & 565.933938658228 & 5.33090753796361 \tabularnewline
0.57 & 566.921902920971 & 5.2786810580079 \tabularnewline
0.58 & 567.907516531213 & 5.26516687201663 \tabularnewline
0.59 & 568.898240755789 & 5.28908850732423 \tabularnewline
0.6 & 569.901603372298 & 5.35098230378536 \tabularnewline
0.61 & 570.925038587686 & 5.44934989936779 \tabularnewline
0.62 & 571.975640189401 & 5.58297156040177 \tabularnewline
0.63 & 573.059800833685 & 5.74635851402043 \tabularnewline
0.64 & 574.182731535086 & 5.93438748156283 \tabularnewline
0.65 & 575.347887450351 & 6.13463039540003 \tabularnewline
0.66 & 576.556363132678 & 6.33381558737226 \tabularnewline
0.67 & 577.806353971843 & 6.51407014146542 \tabularnewline
0.68 & 579.092801413124 & 6.657321765794 \tabularnewline
0.69 & 580.407340825304 & 6.74605440622566 \tabularnewline
0.7 & 581.73865008076 & 6.76347575128391 \tabularnewline
0.71 & 583.073256921673 & 6.70110685300422 \tabularnewline
0.72 & 584.396811222457 & 6.55604761188336 \tabularnewline
0.73 & 585.695772611176 & 6.33441989943364 \tabularnewline
0.74 & 586.959409466526 & 6.05223828544466 \tabularnewline
0.75 & 588.181949880819 & 5.73641202307594 \tabularnewline
0.76 & 589.36465978541 & 5.42244965910815 \tabularnewline
0.77 & 590.51753925979 & 5.15559136189113 \tabularnewline
0.78 & 591.660230370814 & 4.9863643579069 \tabularnewline
0.79 & 592.821653978808 & 4.96564624922504 \tabularnewline
0.8 & 594.037910720126 & 5.13120315543199 \tabularnewline
0.81 & 595.348184533863 & 5.49049164544569 \tabularnewline
0.82 & 596.788838070244 & 6.01227102627317 \tabularnewline
0.83 & 598.386549722574 & 6.6259756193259 \tabularnewline
0.84 & 600.152016035254 & 7.23398785805528 \tabularnewline
0.85 & 602.076094246288 & 7.73135573851017 \tabularnewline
0.86 & 604.12994723425 & 8.0287557760606 \tabularnewline
0.87 & 606.269671105934 & 8.07419628223135 \tabularnewline
0.88 & 608.444373833057 & 7.86645310935283 \tabularnewline
0.89 & 610.605487781055 & 7.45143781345226 \tabularnewline
0.9 & 612.714983109058 & 6.90131503783966 \tabularnewline
0.91 & 614.75113277933 & 6.29097675729794 \tabularnewline
0.92 & 616.711470621344 & 5.68290140046013 \tabularnewline
0.93 & 618.612026068368 & 5.13277581917094 \tabularnewline
0.94 & 620.479715942481 & 4.68819362664879 \tabularnewline
0.95 & 622.334026596201 & 4.34400250984649 \tabularnewline
0.96 & 624.159558041542 & 3.97766473881327 \tabularnewline
0.97 & 625.882243420996 & 3.38760583601329 \tabularnewline
0.98 & 627.367790943793 & 2.48421051496160 \tabularnewline
0.99 & 628.450902340645 & 1.50799181529399 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41326&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]472.318517759912[/C][C]9.21068506841421[/C][/ROW]
[ROW][C]0.02[/C][C]477.534218708569[/C][C]9.59308382242416[/C][/ROW]
[ROW][C]0.03[/C][C]483.050351126886[/C][C]9.30199864547606[/C][/ROW]
[ROW][C]0.04[/C][C]487.957935614806[/C][C]8.38531473057385[/C][/ROW]
[ROW][C]0.05[/C][C]492.007629835763[/C][C]7.3315464242666[/C][/ROW]
[ROW][C]0.06[/C][C]495.272499469984[/C][C]6.43091371334802[/C][/ROW]
[ROW][C]0.07[/C][C]497.91806306794[/C][C]5.72645142681529[/C][/ROW]
[ROW][C]0.08[/C][C]500.102614817772[/C][C]5.18069057084887[/C][/ROW]
[ROW][C]0.09[/C][C]501.949657139602[/C][C]4.7612834644947[/C][/ROW]
[ROW][C]0.1[/C][C]503.549719006536[/C][C]4.44625827400893[/C][/ROW]
[ROW][C]0.11[/C][C]504.969987994755[/C][C]4.22696112686300[/C][/ROW]
[ROW][C]0.12[/C][C]506.263267801497[/C][C]4.10698961828869[/C][/ROW]
[ROW][C]0.13[/C][C]507.474019210127[/C][C]4.09903099914957[/C][/ROW]
[ROW][C]0.14[/C][C]508.641445964086[/C][C]4.21260975184434[/C][/ROW]
[ROW][C]0.15[/C][C]509.800216051736[/C][C]4.44387950673273[/C][/ROW]
[ROW][C]0.16[/C][C]510.979668880976[/C][C]4.77166764390566[/C][/ROW]
[ROW][C]0.17[/C][C]512.202446443303[/C][C]5.16735501353202[/C][/ROW]
[ROW][C]0.18[/C][C]513.483342027977[/C][C]5.5953323045982[/C][/ROW]
[ROW][C]0.19[/C][C]514.828847686093[/C][C]6.0211741685536[/C][/ROW]
[ROW][C]0.2[/C][C]516.237556361220[/C][C]6.41149391535598[/C][/ROW]
[ROW][C]0.21[/C][C]517.701346624048[/C][C]6.74032207852783[/C][/ROW]
[ROW][C]0.22[/C][C]519.207162660184[/C][C]6.99023300243771[/C][/ROW]
[ROW][C]0.23[/C][C]520.739156644505[/C][C]7.15238430603823[/C][/ROW]
[ROW][C]0.24[/C][C]522.280940649109[/C][C]7.22953173766101[/C][/ROW]
[ROW][C]0.25[/C][C]523.81768589055[/C][C]7.23517745070663[/C][/ROW]
[ROW][C]0.26[/C][C]525.337819749152[/C][C]7.1900915465764[/C][/ROW]
[ROW][C]0.27[/C][C]526.834122217482[/C][C]7.11990441914961[/C][/ROW]
[ROW][C]0.28[/C][C]528.30411612456[/C][C]7.05283486428736[/C][/ROW]
[ROW][C]0.29[/C][C]529.749762684179[/C][C]7.0100816774822[/C][/ROW]
[ROW][C]0.3[/C][C]531.176586067551[/C][C]7.00853987282262[/C][/ROW]
[ROW][C]0.31[/C][C]532.592429183848[/C][C]7.05575204651389[/C][/ROW]
[ROW][C]0.32[/C][C]534.006071564318[/C][C]7.15028118400728[/C][/ROW]
[ROW][C]0.33[/C][C]535.425920013831[/C][C]7.28491024886868[/C][/ROW]
[ROW][C]0.34[/C][C]536.858928083233[/C][C]7.44763535853067[/C][/ROW]
[ROW][C]0.35[/C][C]538.30983204244[/C][C]7.6230255606624[/C][/ROW]
[ROW][C]0.36[/C][C]539.780727576781[/C][C]7.7959709466583[/C][/ROW]
[ROW][C]0.37[/C][C]541.270964460125[/C][C]7.95164081838985[/C][/ROW]
[ROW][C]0.38[/C][C]542.777309167356[/C][C]8.07667734495173[/C][/ROW]
[ROW][C]0.39[/C][C]544.294314483552[/C][C]8.16018158500993[/C][/ROW]
[ROW][C]0.4[/C][C]545.814834325761[/C][C]8.19513078303913[/C][/ROW]
[ROW][C]0.41[/C][C]547.330625216215[/C][C]8.17674152403731[/C][/ROW]
[ROW][C]0.42[/C][C]548.832979592614[/C][C]8.104572613935[/C][/ROW]
[ROW][C]0.43[/C][C]550.313339841047[/C][C]7.98097396263406[/C][/ROW]
[ROW][C]0.44[/C][C]551.763847104035[/C][C]7.81189593829093[/C][/ROW]
[ROW][C]0.45[/C][C]553.177787517018[/C][C]7.60504165794204[/C][/ROW]
[ROW][C]0.46[/C][C]554.549911413819[/C][C]7.36911951270907[/C][/ROW]
[ROW][C]0.47[/C][C]555.876617123882[/C][C]7.11592835410061[/C][/ROW]
[ROW][C]0.48[/C][C]557.156007440776[/C][C]6.85455824776875[/C][/ROW]
[ROW][C]0.49[/C][C]558.387840218183[/C][C]6.59348580295915[/C][/ROW]
[ROW][C]0.5[/C][C]559.573402181094[/C][C]6.3414851777135[/C][/ROW]
[ROW][C]0.51[/C][C]560.715336126234[/C][C]6.10508858769474[/C][/ROW]
[ROW][C]0.52[/C][C]561.817447516425[/C][C]5.89012651551586[/C][/ROW]
[ROW][C]0.53[/C][C]562.884509717473[/C][C]5.70165290631052[/C][/ROW]
[ROW][C]0.54[/C][C]563.922080531789[/C][C]5.54346557227246[/C][/ROW]
[ROW][C]0.55[/C][C]564.936337821084[/C][C]5.42005784691521[/C][/ROW]
[ROW][C]0.56[/C][C]565.933938658228[/C][C]5.33090753796361[/C][/ROW]
[ROW][C]0.57[/C][C]566.921902920971[/C][C]5.2786810580079[/C][/ROW]
[ROW][C]0.58[/C][C]567.907516531213[/C][C]5.26516687201663[/C][/ROW]
[ROW][C]0.59[/C][C]568.898240755789[/C][C]5.28908850732423[/C][/ROW]
[ROW][C]0.6[/C][C]569.901603372298[/C][C]5.35098230378536[/C][/ROW]
[ROW][C]0.61[/C][C]570.925038587686[/C][C]5.44934989936779[/C][/ROW]
[ROW][C]0.62[/C][C]571.975640189401[/C][C]5.58297156040177[/C][/ROW]
[ROW][C]0.63[/C][C]573.059800833685[/C][C]5.74635851402043[/C][/ROW]
[ROW][C]0.64[/C][C]574.182731535086[/C][C]5.93438748156283[/C][/ROW]
[ROW][C]0.65[/C][C]575.347887450351[/C][C]6.13463039540003[/C][/ROW]
[ROW][C]0.66[/C][C]576.556363132678[/C][C]6.33381558737226[/C][/ROW]
[ROW][C]0.67[/C][C]577.806353971843[/C][C]6.51407014146542[/C][/ROW]
[ROW][C]0.68[/C][C]579.092801413124[/C][C]6.657321765794[/C][/ROW]
[ROW][C]0.69[/C][C]580.407340825304[/C][C]6.74605440622566[/C][/ROW]
[ROW][C]0.7[/C][C]581.73865008076[/C][C]6.76347575128391[/C][/ROW]
[ROW][C]0.71[/C][C]583.073256921673[/C][C]6.70110685300422[/C][/ROW]
[ROW][C]0.72[/C][C]584.396811222457[/C][C]6.55604761188336[/C][/ROW]
[ROW][C]0.73[/C][C]585.695772611176[/C][C]6.33441989943364[/C][/ROW]
[ROW][C]0.74[/C][C]586.959409466526[/C][C]6.05223828544466[/C][/ROW]
[ROW][C]0.75[/C][C]588.181949880819[/C][C]5.73641202307594[/C][/ROW]
[ROW][C]0.76[/C][C]589.36465978541[/C][C]5.42244965910815[/C][/ROW]
[ROW][C]0.77[/C][C]590.51753925979[/C][C]5.15559136189113[/C][/ROW]
[ROW][C]0.78[/C][C]591.660230370814[/C][C]4.9863643579069[/C][/ROW]
[ROW][C]0.79[/C][C]592.821653978808[/C][C]4.96564624922504[/C][/ROW]
[ROW][C]0.8[/C][C]594.037910720126[/C][C]5.13120315543199[/C][/ROW]
[ROW][C]0.81[/C][C]595.348184533863[/C][C]5.49049164544569[/C][/ROW]
[ROW][C]0.82[/C][C]596.788838070244[/C][C]6.01227102627317[/C][/ROW]
[ROW][C]0.83[/C][C]598.386549722574[/C][C]6.6259756193259[/C][/ROW]
[ROW][C]0.84[/C][C]600.152016035254[/C][C]7.23398785805528[/C][/ROW]
[ROW][C]0.85[/C][C]602.076094246288[/C][C]7.73135573851017[/C][/ROW]
[ROW][C]0.86[/C][C]604.12994723425[/C][C]8.0287557760606[/C][/ROW]
[ROW][C]0.87[/C][C]606.269671105934[/C][C]8.07419628223135[/C][/ROW]
[ROW][C]0.88[/C][C]608.444373833057[/C][C]7.86645310935283[/C][/ROW]
[ROW][C]0.89[/C][C]610.605487781055[/C][C]7.45143781345226[/C][/ROW]
[ROW][C]0.9[/C][C]612.714983109058[/C][C]6.90131503783966[/C][/ROW]
[ROW][C]0.91[/C][C]614.75113277933[/C][C]6.29097675729794[/C][/ROW]
[ROW][C]0.92[/C][C]616.711470621344[/C][C]5.68290140046013[/C][/ROW]
[ROW][C]0.93[/C][C]618.612026068368[/C][C]5.13277581917094[/C][/ROW]
[ROW][C]0.94[/C][C]620.479715942481[/C][C]4.68819362664879[/C][/ROW]
[ROW][C]0.95[/C][C]622.334026596201[/C][C]4.34400250984649[/C][/ROW]
[ROW][C]0.96[/C][C]624.159558041542[/C][C]3.97766473881327[/C][/ROW]
[ROW][C]0.97[/C][C]625.882243420996[/C][C]3.38760583601329[/C][/ROW]
[ROW][C]0.98[/C][C]627.367790943793[/C][C]2.48421051496160[/C][/ROW]
[ROW][C]0.99[/C][C]628.450902340645[/C][C]1.50799181529399[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41326&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41326&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
0.01472.3185177599129.21068506841421
0.02477.5342187085699.59308382242416
0.03483.0503511268869.30199864547606
0.04487.9579356148068.38531473057385
0.05492.0076298357637.3315464242666
0.06495.2724994699846.43091371334802
0.07497.918063067945.72645142681529
0.08500.1026148177725.18069057084887
0.09501.9496571396024.7612834644947
0.1503.5497190065364.44625827400893
0.11504.9699879947554.22696112686300
0.12506.2632678014974.10698961828869
0.13507.4740192101274.09903099914957
0.14508.6414459640864.21260975184434
0.15509.8002160517364.44387950673273
0.16510.9796688809764.77166764390566
0.17512.2024464433035.16735501353202
0.18513.4833420279775.5953323045982
0.19514.8288476860936.0211741685536
0.2516.2375563612206.41149391535598
0.21517.7013466240486.74032207852783
0.22519.2071626601846.99023300243771
0.23520.7391566445057.15238430603823
0.24522.2809406491097.22953173766101
0.25523.817685890557.23517745070663
0.26525.3378197491527.1900915465764
0.27526.8341222174827.11990441914961
0.28528.304116124567.05283486428736
0.29529.7497626841797.0100816774822
0.3531.1765860675517.00853987282262
0.31532.5924291838487.05575204651389
0.32534.0060715643187.15028118400728
0.33535.4259200138317.28491024886868
0.34536.8589280832337.44763535853067
0.35538.309832042447.6230255606624
0.36539.7807275767817.7959709466583
0.37541.2709644601257.95164081838985
0.38542.7773091673568.07667734495173
0.39544.2943144835528.16018158500993
0.4545.8148343257618.19513078303913
0.41547.3306252162158.17674152403731
0.42548.8329795926148.104572613935
0.43550.3133398410477.98097396263406
0.44551.7638471040357.81189593829093
0.45553.1777875170187.60504165794204
0.46554.5499114138197.36911951270907
0.47555.8766171238827.11592835410061
0.48557.1560074407766.85455824776875
0.49558.3878402181836.59348580295915
0.5559.5734021810946.3414851777135
0.51560.7153361262346.10508858769474
0.52561.8174475164255.89012651551586
0.53562.8845097174735.70165290631052
0.54563.9220805317895.54346557227246
0.55564.9363378210845.42005784691521
0.56565.9339386582285.33090753796361
0.57566.9219029209715.2786810580079
0.58567.9075165312135.26516687201663
0.59568.8982407557895.28908850732423
0.6569.9016033722985.35098230378536
0.61570.9250385876865.44934989936779
0.62571.9756401894015.58297156040177
0.63573.0598008336855.74635851402043
0.64574.1827315350865.93438748156283
0.65575.3478874503516.13463039540003
0.66576.5563631326786.33381558737226
0.67577.8063539718436.51407014146542
0.68579.0928014131246.657321765794
0.69580.4073408253046.74605440622566
0.7581.738650080766.76347575128391
0.71583.0732569216736.70110685300422
0.72584.3968112224576.55604761188336
0.73585.6957726111766.33441989943364
0.74586.9594094665266.05223828544466
0.75588.1819498808195.73641202307594
0.76589.364659785415.42244965910815
0.77590.517539259795.15559136189113
0.78591.6602303708144.9863643579069
0.79592.8216539788084.96564624922504
0.8594.0379107201265.13120315543199
0.81595.3481845338635.49049164544569
0.82596.7888380702446.01227102627317
0.83598.3865497225746.6259756193259
0.84600.1520160352547.23398785805528
0.85602.0760942462887.73135573851017
0.86604.129947234258.0287557760606
0.87606.2696711059348.07419628223135
0.88608.4443738330577.86645310935283
0.89610.6054877810557.45143781345226
0.9612.7149831090586.90131503783966
0.91614.751132779336.29097675729794
0.92616.7114706213445.68290140046013
0.93618.6120260683685.13277581917094
0.94620.4797159424814.68819362664879
0.95622.3340265962014.34400250984649
0.96624.1595580415423.97766473881327
0.97625.8822434209963.38760583601329
0.98627.3677909437932.48421051496160
0.99628.4509023406451.50799181529399


Figures (Output of Computation)

Input Parameters & R Code

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