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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 12 Oct 2012 05:35:23 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/12/t13500345661ju0h3oar4t4j7r.htm/, Retrieved Sun, 12 May 2024 18:37:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=175300, Retrieved Sun, 12 May 2024 18:37:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-10-12 09:35:23] [946b987ea445738c2c70467dba74cc4f] [Current]
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Dataseries X:
3.43
3.43
3.43
3.43
3.43
3.43
3.43
3.43
3.5
3.52
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.58
3.58
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.61
3.71
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
4.09
4.09
4.09
4.09




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175300&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175300&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.430006861055873.59462885493297e-05
0.023.430052680238680.000237764494449998
0.033.430230960179380.000908107177900871
0.043.430738510480120.00251298121418928
0.053.431896840308020.00555560381455437
0.063.434123251191590.0103143076224751
0.073.437840805161380.0166156955289805
0.083.443349385608330.0237342588425556
0.093.450706701020530.0305540253135322
0.13.459670247190820.0358811511456819
0.113.469726721035950.0388185269891144
0.123.480198542169340.0390003288201057
0.133.490388048679860.0366463424672143
0.143.499711466246090.0324212348117751
0.153.50778678169180.0272060089155338
0.163.514462245952510.0218699219686999
0.173.519793361689360.0171229246783632
0.183.523988190680470.0134660447135498
0.193.527342365229510.0112234306659996
0.23.530179665623280.0105219033545643
0.213.532806208962420.0112042094804039
0.223.535479837492130.0128853262851838
0.233.538392743009140.0151445373139665
0.243.541664471960670.0176195350030569
0.253.545343079107450.0200020671684333
0.263.549413137578570.0220349480595551
0.273.553809806015040.0235331414310817
0.283.558437982802610.0244169179315696
0.293.563194936743770.02470948224856
0.33.567994064596370.0245666909865042
0.313.572786930865130.0242692972250422
0.323.577580686844030.024207526016864
0.333.582448366520890.0248447879238578
0.343.587530319373120.0266441977532348
0.353.59302602501980.0299530700247522
0.363.599176621587010.0349097115036904
0.373.606239586084640.041437184615271
0.383.614458065769620.0492809479190477
0.393.624028286914820.0580116504542367
0.43.635069125305220.0670784168050533
0.413.647598135251320.0758390068781374
0.423.661517935106070.0836098504904759
0.433.676615754316040.0897575299714451
0.443.692577224796530.0937631425106359
0.453.70901338536050.0952947121298656
0.463.725497739080250.0942507740523976
0.473.741608490030770.0907807393398577
0.483.756970157818520.085255245869603
0.493.771288832897760.0782235713044018
0.53.784376380867740.070348883944396
0.513.796160705745790.062325428641954
0.523.806681370981880.0548085112011739
0.533.816072037293890.0483496896619509
0.543.824532946143040.0433420840296846
0.553.832297816598150.0399638004791768
0.563.839599936817770.0381367689246518
0.573.846641953389030.0375402798813828
0.583.853573014877140.0377047032709126
0.593.860475679337140.0381229730329141
0.63.867363535432120.0383507008283914
0.613.874189001795280.0380463180903003
0.623.880859442804090.0370051151344346
0.633.887258737619320.0351675219542607
0.643.893270891035230.0326011680842139
0.653.898802240147570.0294906138134279
0.663.903799261860920.0260975869266573
0.673.908259805265460.0227334201894337
0.683.912236582130.0197225428401553
0.693.915832763092690.0173775164872734
0.73.9191904113320.0159604642327426
0.713.922473189498640.015620435257239
0.723.925845328145620.0163101619703214
0.733.929449302017350.0177883420135529
0.743.933385037601910.0197030464916911
0.753.937693684717810.021668873861022
0.763.942348840556670.0233159954556797
0.773.947257406240.0243241126916983
0.783.952270879814960.0244642846436239
0.793.957205977855690.0236312792305789
0.83.961871453135660.021860802015244
0.813.966096478849830.0193191975417908
0.823.969755661800410.0162788615226142
0.833.972787051119120.0130562768776006
0.843.975202381466640.00997346117579454
0.853.977092570812710.00731408776050099
0.863.978634815660880.00534517872933449
0.873.980108340698830.0044756160484882
0.883.981921144266920.00537285393112015
0.893.984637392079730.00845020937158124
0.93.988974979983090.0138560516100851
0.913.995723648239440.0215824912700581
0.924.005535991152890.0309285837145298
0.934.018593123630240.0400509649088273
0.944.034252708822760.0460519054636551
0.954.050904562584490.0459893746171139
0.964.066275197240560.0386341301754757
0.974.078221764858830.0259399574974295
0.984.085671174482140.0126519991384482
0.994.089080506998510.00351204107894947

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.43000686105587 & 3.59462885493297e-05 \tabularnewline
0.02 & 3.43005268023868 & 0.000237764494449998 \tabularnewline
0.03 & 3.43023096017938 & 0.000908107177900871 \tabularnewline
0.04 & 3.43073851048012 & 0.00251298121418928 \tabularnewline
0.05 & 3.43189684030802 & 0.00555560381455437 \tabularnewline
0.06 & 3.43412325119159 & 0.0103143076224751 \tabularnewline
0.07 & 3.43784080516138 & 0.0166156955289805 \tabularnewline
0.08 & 3.44334938560833 & 0.0237342588425556 \tabularnewline
0.09 & 3.45070670102053 & 0.0305540253135322 \tabularnewline
0.1 & 3.45967024719082 & 0.0358811511456819 \tabularnewline
0.11 & 3.46972672103595 & 0.0388185269891144 \tabularnewline
0.12 & 3.48019854216934 & 0.0390003288201057 \tabularnewline
0.13 & 3.49038804867986 & 0.0366463424672143 \tabularnewline
0.14 & 3.49971146624609 & 0.0324212348117751 \tabularnewline
0.15 & 3.5077867816918 & 0.0272060089155338 \tabularnewline
0.16 & 3.51446224595251 & 0.0218699219686999 \tabularnewline
0.17 & 3.51979336168936 & 0.0171229246783632 \tabularnewline
0.18 & 3.52398819068047 & 0.0134660447135498 \tabularnewline
0.19 & 3.52734236522951 & 0.0112234306659996 \tabularnewline
0.2 & 3.53017966562328 & 0.0105219033545643 \tabularnewline
0.21 & 3.53280620896242 & 0.0112042094804039 \tabularnewline
0.22 & 3.53547983749213 & 0.0128853262851838 \tabularnewline
0.23 & 3.53839274300914 & 0.0151445373139665 \tabularnewline
0.24 & 3.54166447196067 & 0.0176195350030569 \tabularnewline
0.25 & 3.54534307910745 & 0.0200020671684333 \tabularnewline
0.26 & 3.54941313757857 & 0.0220349480595551 \tabularnewline
0.27 & 3.55380980601504 & 0.0235331414310817 \tabularnewline
0.28 & 3.55843798280261 & 0.0244169179315696 \tabularnewline
0.29 & 3.56319493674377 & 0.02470948224856 \tabularnewline
0.3 & 3.56799406459637 & 0.0245666909865042 \tabularnewline
0.31 & 3.57278693086513 & 0.0242692972250422 \tabularnewline
0.32 & 3.57758068684403 & 0.024207526016864 \tabularnewline
0.33 & 3.58244836652089 & 0.0248447879238578 \tabularnewline
0.34 & 3.58753031937312 & 0.0266441977532348 \tabularnewline
0.35 & 3.5930260250198 & 0.0299530700247522 \tabularnewline
0.36 & 3.59917662158701 & 0.0349097115036904 \tabularnewline
0.37 & 3.60623958608464 & 0.041437184615271 \tabularnewline
0.38 & 3.61445806576962 & 0.0492809479190477 \tabularnewline
0.39 & 3.62402828691482 & 0.0580116504542367 \tabularnewline
0.4 & 3.63506912530522 & 0.0670784168050533 \tabularnewline
0.41 & 3.64759813525132 & 0.0758390068781374 \tabularnewline
0.42 & 3.66151793510607 & 0.0836098504904759 \tabularnewline
0.43 & 3.67661575431604 & 0.0897575299714451 \tabularnewline
0.44 & 3.69257722479653 & 0.0937631425106359 \tabularnewline
0.45 & 3.7090133853605 & 0.0952947121298656 \tabularnewline
0.46 & 3.72549773908025 & 0.0942507740523976 \tabularnewline
0.47 & 3.74160849003077 & 0.0907807393398577 \tabularnewline
0.48 & 3.75697015781852 & 0.085255245869603 \tabularnewline
0.49 & 3.77128883289776 & 0.0782235713044018 \tabularnewline
0.5 & 3.78437638086774 & 0.070348883944396 \tabularnewline
0.51 & 3.79616070574579 & 0.062325428641954 \tabularnewline
0.52 & 3.80668137098188 & 0.0548085112011739 \tabularnewline
0.53 & 3.81607203729389 & 0.0483496896619509 \tabularnewline
0.54 & 3.82453294614304 & 0.0433420840296846 \tabularnewline
0.55 & 3.83229781659815 & 0.0399638004791768 \tabularnewline
0.56 & 3.83959993681777 & 0.0381367689246518 \tabularnewline
0.57 & 3.84664195338903 & 0.0375402798813828 \tabularnewline
0.58 & 3.85357301487714 & 0.0377047032709126 \tabularnewline
0.59 & 3.86047567933714 & 0.0381229730329141 \tabularnewline
0.6 & 3.86736353543212 & 0.0383507008283914 \tabularnewline
0.61 & 3.87418900179528 & 0.0380463180903003 \tabularnewline
0.62 & 3.88085944280409 & 0.0370051151344346 \tabularnewline
0.63 & 3.88725873761932 & 0.0351675219542607 \tabularnewline
0.64 & 3.89327089103523 & 0.0326011680842139 \tabularnewline
0.65 & 3.89880224014757 & 0.0294906138134279 \tabularnewline
0.66 & 3.90379926186092 & 0.0260975869266573 \tabularnewline
0.67 & 3.90825980526546 & 0.0227334201894337 \tabularnewline
0.68 & 3.91223658213 & 0.0197225428401553 \tabularnewline
0.69 & 3.91583276309269 & 0.0173775164872734 \tabularnewline
0.7 & 3.919190411332 & 0.0159604642327426 \tabularnewline
0.71 & 3.92247318949864 & 0.015620435257239 \tabularnewline
0.72 & 3.92584532814562 & 0.0163101619703214 \tabularnewline
0.73 & 3.92944930201735 & 0.0177883420135529 \tabularnewline
0.74 & 3.93338503760191 & 0.0197030464916911 \tabularnewline
0.75 & 3.93769368471781 & 0.021668873861022 \tabularnewline
0.76 & 3.94234884055667 & 0.0233159954556797 \tabularnewline
0.77 & 3.94725740624 & 0.0243241126916983 \tabularnewline
0.78 & 3.95227087981496 & 0.0244642846436239 \tabularnewline
0.79 & 3.95720597785569 & 0.0236312792305789 \tabularnewline
0.8 & 3.96187145313566 & 0.021860802015244 \tabularnewline
0.81 & 3.96609647884983 & 0.0193191975417908 \tabularnewline
0.82 & 3.96975566180041 & 0.0162788615226142 \tabularnewline
0.83 & 3.97278705111912 & 0.0130562768776006 \tabularnewline
0.84 & 3.97520238146664 & 0.00997346117579454 \tabularnewline
0.85 & 3.97709257081271 & 0.00731408776050099 \tabularnewline
0.86 & 3.97863481566088 & 0.00534517872933449 \tabularnewline
0.87 & 3.98010834069883 & 0.0044756160484882 \tabularnewline
0.88 & 3.98192114426692 & 0.00537285393112015 \tabularnewline
0.89 & 3.98463739207973 & 0.00845020937158124 \tabularnewline
0.9 & 3.98897497998309 & 0.0138560516100851 \tabularnewline
0.91 & 3.99572364823944 & 0.0215824912700581 \tabularnewline
0.92 & 4.00553599115289 & 0.0309285837145298 \tabularnewline
0.93 & 4.01859312363024 & 0.0400509649088273 \tabularnewline
0.94 & 4.03425270882276 & 0.0460519054636551 \tabularnewline
0.95 & 4.05090456258449 & 0.0459893746171139 \tabularnewline
0.96 & 4.06627519724056 & 0.0386341301754757 \tabularnewline
0.97 & 4.07822176485883 & 0.0259399574974295 \tabularnewline
0.98 & 4.08567117448214 & 0.0126519991384482 \tabularnewline
0.99 & 4.08908050699851 & 0.00351204107894947 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175300&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]3.43000686105587[/C][C]3.59462885493297e-05[/C][/ROW]
[ROW][C]0.02[/C][C]3.43005268023868[/C][C]0.000237764494449998[/C][/ROW]
[ROW][C]0.03[/C][C]3.43023096017938[/C][C]0.000908107177900871[/C][/ROW]
[ROW][C]0.04[/C][C]3.43073851048012[/C][C]0.00251298121418928[/C][/ROW]
[ROW][C]0.05[/C][C]3.43189684030802[/C][C]0.00555560381455437[/C][/ROW]
[ROW][C]0.06[/C][C]3.43412325119159[/C][C]0.0103143076224751[/C][/ROW]
[ROW][C]0.07[/C][C]3.43784080516138[/C][C]0.0166156955289805[/C][/ROW]
[ROW][C]0.08[/C][C]3.44334938560833[/C][C]0.0237342588425556[/C][/ROW]
[ROW][C]0.09[/C][C]3.45070670102053[/C][C]0.0305540253135322[/C][/ROW]
[ROW][C]0.1[/C][C]3.45967024719082[/C][C]0.0358811511456819[/C][/ROW]
[ROW][C]0.11[/C][C]3.46972672103595[/C][C]0.0388185269891144[/C][/ROW]
[ROW][C]0.12[/C][C]3.48019854216934[/C][C]0.0390003288201057[/C][/ROW]
[ROW][C]0.13[/C][C]3.49038804867986[/C][C]0.0366463424672143[/C][/ROW]
[ROW][C]0.14[/C][C]3.49971146624609[/C][C]0.0324212348117751[/C][/ROW]
[ROW][C]0.15[/C][C]3.5077867816918[/C][C]0.0272060089155338[/C][/ROW]
[ROW][C]0.16[/C][C]3.51446224595251[/C][C]0.0218699219686999[/C][/ROW]
[ROW][C]0.17[/C][C]3.51979336168936[/C][C]0.0171229246783632[/C][/ROW]
[ROW][C]0.18[/C][C]3.52398819068047[/C][C]0.0134660447135498[/C][/ROW]
[ROW][C]0.19[/C][C]3.52734236522951[/C][C]0.0112234306659996[/C][/ROW]
[ROW][C]0.2[/C][C]3.53017966562328[/C][C]0.0105219033545643[/C][/ROW]
[ROW][C]0.21[/C][C]3.53280620896242[/C][C]0.0112042094804039[/C][/ROW]
[ROW][C]0.22[/C][C]3.53547983749213[/C][C]0.0128853262851838[/C][/ROW]
[ROW][C]0.23[/C][C]3.53839274300914[/C][C]0.0151445373139665[/C][/ROW]
[ROW][C]0.24[/C][C]3.54166447196067[/C][C]0.0176195350030569[/C][/ROW]
[ROW][C]0.25[/C][C]3.54534307910745[/C][C]0.0200020671684333[/C][/ROW]
[ROW][C]0.26[/C][C]3.54941313757857[/C][C]0.0220349480595551[/C][/ROW]
[ROW][C]0.27[/C][C]3.55380980601504[/C][C]0.0235331414310817[/C][/ROW]
[ROW][C]0.28[/C][C]3.55843798280261[/C][C]0.0244169179315696[/C][/ROW]
[ROW][C]0.29[/C][C]3.56319493674377[/C][C]0.02470948224856[/C][/ROW]
[ROW][C]0.3[/C][C]3.56799406459637[/C][C]0.0245666909865042[/C][/ROW]
[ROW][C]0.31[/C][C]3.57278693086513[/C][C]0.0242692972250422[/C][/ROW]
[ROW][C]0.32[/C][C]3.57758068684403[/C][C]0.024207526016864[/C][/ROW]
[ROW][C]0.33[/C][C]3.58244836652089[/C][C]0.0248447879238578[/C][/ROW]
[ROW][C]0.34[/C][C]3.58753031937312[/C][C]0.0266441977532348[/C][/ROW]
[ROW][C]0.35[/C][C]3.5930260250198[/C][C]0.0299530700247522[/C][/ROW]
[ROW][C]0.36[/C][C]3.59917662158701[/C][C]0.0349097115036904[/C][/ROW]
[ROW][C]0.37[/C][C]3.60623958608464[/C][C]0.041437184615271[/C][/ROW]
[ROW][C]0.38[/C][C]3.61445806576962[/C][C]0.0492809479190477[/C][/ROW]
[ROW][C]0.39[/C][C]3.62402828691482[/C][C]0.0580116504542367[/C][/ROW]
[ROW][C]0.4[/C][C]3.63506912530522[/C][C]0.0670784168050533[/C][/ROW]
[ROW][C]0.41[/C][C]3.64759813525132[/C][C]0.0758390068781374[/C][/ROW]
[ROW][C]0.42[/C][C]3.66151793510607[/C][C]0.0836098504904759[/C][/ROW]
[ROW][C]0.43[/C][C]3.67661575431604[/C][C]0.0897575299714451[/C][/ROW]
[ROW][C]0.44[/C][C]3.69257722479653[/C][C]0.0937631425106359[/C][/ROW]
[ROW][C]0.45[/C][C]3.7090133853605[/C][C]0.0952947121298656[/C][/ROW]
[ROW][C]0.46[/C][C]3.72549773908025[/C][C]0.0942507740523976[/C][/ROW]
[ROW][C]0.47[/C][C]3.74160849003077[/C][C]0.0907807393398577[/C][/ROW]
[ROW][C]0.48[/C][C]3.75697015781852[/C][C]0.085255245869603[/C][/ROW]
[ROW][C]0.49[/C][C]3.77128883289776[/C][C]0.0782235713044018[/C][/ROW]
[ROW][C]0.5[/C][C]3.78437638086774[/C][C]0.070348883944396[/C][/ROW]
[ROW][C]0.51[/C][C]3.79616070574579[/C][C]0.062325428641954[/C][/ROW]
[ROW][C]0.52[/C][C]3.80668137098188[/C][C]0.0548085112011739[/C][/ROW]
[ROW][C]0.53[/C][C]3.81607203729389[/C][C]0.0483496896619509[/C][/ROW]
[ROW][C]0.54[/C][C]3.82453294614304[/C][C]0.0433420840296846[/C][/ROW]
[ROW][C]0.55[/C][C]3.83229781659815[/C][C]0.0399638004791768[/C][/ROW]
[ROW][C]0.56[/C][C]3.83959993681777[/C][C]0.0381367689246518[/C][/ROW]
[ROW][C]0.57[/C][C]3.84664195338903[/C][C]0.0375402798813828[/C][/ROW]
[ROW][C]0.58[/C][C]3.85357301487714[/C][C]0.0377047032709126[/C][/ROW]
[ROW][C]0.59[/C][C]3.86047567933714[/C][C]0.0381229730329141[/C][/ROW]
[ROW][C]0.6[/C][C]3.86736353543212[/C][C]0.0383507008283914[/C][/ROW]
[ROW][C]0.61[/C][C]3.87418900179528[/C][C]0.0380463180903003[/C][/ROW]
[ROW][C]0.62[/C][C]3.88085944280409[/C][C]0.0370051151344346[/C][/ROW]
[ROW][C]0.63[/C][C]3.88725873761932[/C][C]0.0351675219542607[/C][/ROW]
[ROW][C]0.64[/C][C]3.89327089103523[/C][C]0.0326011680842139[/C][/ROW]
[ROW][C]0.65[/C][C]3.89880224014757[/C][C]0.0294906138134279[/C][/ROW]
[ROW][C]0.66[/C][C]3.90379926186092[/C][C]0.0260975869266573[/C][/ROW]
[ROW][C]0.67[/C][C]3.90825980526546[/C][C]0.0227334201894337[/C][/ROW]
[ROW][C]0.68[/C][C]3.91223658213[/C][C]0.0197225428401553[/C][/ROW]
[ROW][C]0.69[/C][C]3.91583276309269[/C][C]0.0173775164872734[/C][/ROW]
[ROW][C]0.7[/C][C]3.919190411332[/C][C]0.0159604642327426[/C][/ROW]
[ROW][C]0.71[/C][C]3.92247318949864[/C][C]0.015620435257239[/C][/ROW]
[ROW][C]0.72[/C][C]3.92584532814562[/C][C]0.0163101619703214[/C][/ROW]
[ROW][C]0.73[/C][C]3.92944930201735[/C][C]0.0177883420135529[/C][/ROW]
[ROW][C]0.74[/C][C]3.93338503760191[/C][C]0.0197030464916911[/C][/ROW]
[ROW][C]0.75[/C][C]3.93769368471781[/C][C]0.021668873861022[/C][/ROW]
[ROW][C]0.76[/C][C]3.94234884055667[/C][C]0.0233159954556797[/C][/ROW]
[ROW][C]0.77[/C][C]3.94725740624[/C][C]0.0243241126916983[/C][/ROW]
[ROW][C]0.78[/C][C]3.95227087981496[/C][C]0.0244642846436239[/C][/ROW]
[ROW][C]0.79[/C][C]3.95720597785569[/C][C]0.0236312792305789[/C][/ROW]
[ROW][C]0.8[/C][C]3.96187145313566[/C][C]0.021860802015244[/C][/ROW]
[ROW][C]0.81[/C][C]3.96609647884983[/C][C]0.0193191975417908[/C][/ROW]
[ROW][C]0.82[/C][C]3.96975566180041[/C][C]0.0162788615226142[/C][/ROW]
[ROW][C]0.83[/C][C]3.97278705111912[/C][C]0.0130562768776006[/C][/ROW]
[ROW][C]0.84[/C][C]3.97520238146664[/C][C]0.00997346117579454[/C][/ROW]
[ROW][C]0.85[/C][C]3.97709257081271[/C][C]0.00731408776050099[/C][/ROW]
[ROW][C]0.86[/C][C]3.97863481566088[/C][C]0.00534517872933449[/C][/ROW]
[ROW][C]0.87[/C][C]3.98010834069883[/C][C]0.0044756160484882[/C][/ROW]
[ROW][C]0.88[/C][C]3.98192114426692[/C][C]0.00537285393112015[/C][/ROW]
[ROW][C]0.89[/C][C]3.98463739207973[/C][C]0.00845020937158124[/C][/ROW]
[ROW][C]0.9[/C][C]3.98897497998309[/C][C]0.0138560516100851[/C][/ROW]
[ROW][C]0.91[/C][C]3.99572364823944[/C][C]0.0215824912700581[/C][/ROW]
[ROW][C]0.92[/C][C]4.00553599115289[/C][C]0.0309285837145298[/C][/ROW]
[ROW][C]0.93[/C][C]4.01859312363024[/C][C]0.0400509649088273[/C][/ROW]
[ROW][C]0.94[/C][C]4.03425270882276[/C][C]0.0460519054636551[/C][/ROW]
[ROW][C]0.95[/C][C]4.05090456258449[/C][C]0.0459893746171139[/C][/ROW]
[ROW][C]0.96[/C][C]4.06627519724056[/C][C]0.0386341301754757[/C][/ROW]
[ROW][C]0.97[/C][C]4.07822176485883[/C][C]0.0259399574974295[/C][/ROW]
[ROW][C]0.98[/C][C]4.08567117448214[/C][C]0.0126519991384482[/C][/ROW]
[ROW][C]0.99[/C][C]4.08908050699851[/C][C]0.00351204107894947[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175300&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.430006861055873.59462885493297e-05
0.023.430052680238680.000237764494449998
0.033.430230960179380.000908107177900871
0.043.430738510480120.00251298121418928
0.053.431896840308020.00555560381455437
0.063.434123251191590.0103143076224751
0.073.437840805161380.0166156955289805
0.083.443349385608330.0237342588425556
0.093.450706701020530.0305540253135322
0.13.459670247190820.0358811511456819
0.113.469726721035950.0388185269891144
0.123.480198542169340.0390003288201057
0.133.490388048679860.0366463424672143
0.143.499711466246090.0324212348117751
0.153.50778678169180.0272060089155338
0.163.514462245952510.0218699219686999
0.173.519793361689360.0171229246783632
0.183.523988190680470.0134660447135498
0.193.527342365229510.0112234306659996
0.23.530179665623280.0105219033545643
0.213.532806208962420.0112042094804039
0.223.535479837492130.0128853262851838
0.233.538392743009140.0151445373139665
0.243.541664471960670.0176195350030569
0.253.545343079107450.0200020671684333
0.263.549413137578570.0220349480595551
0.273.553809806015040.0235331414310817
0.283.558437982802610.0244169179315696
0.293.563194936743770.02470948224856
0.33.567994064596370.0245666909865042
0.313.572786930865130.0242692972250422
0.323.577580686844030.024207526016864
0.333.582448366520890.0248447879238578
0.343.587530319373120.0266441977532348
0.353.59302602501980.0299530700247522
0.363.599176621587010.0349097115036904
0.373.606239586084640.041437184615271
0.383.614458065769620.0492809479190477
0.393.624028286914820.0580116504542367
0.43.635069125305220.0670784168050533
0.413.647598135251320.0758390068781374
0.423.661517935106070.0836098504904759
0.433.676615754316040.0897575299714451
0.443.692577224796530.0937631425106359
0.453.70901338536050.0952947121298656
0.463.725497739080250.0942507740523976
0.473.741608490030770.0907807393398577
0.483.756970157818520.085255245869603
0.493.771288832897760.0782235713044018
0.53.784376380867740.070348883944396
0.513.796160705745790.062325428641954
0.523.806681370981880.0548085112011739
0.533.816072037293890.0483496896619509
0.543.824532946143040.0433420840296846
0.553.832297816598150.0399638004791768
0.563.839599936817770.0381367689246518
0.573.846641953389030.0375402798813828
0.583.853573014877140.0377047032709126
0.593.860475679337140.0381229730329141
0.63.867363535432120.0383507008283914
0.613.874189001795280.0380463180903003
0.623.880859442804090.0370051151344346
0.633.887258737619320.0351675219542607
0.643.893270891035230.0326011680842139
0.653.898802240147570.0294906138134279
0.663.903799261860920.0260975869266573
0.673.908259805265460.0227334201894337
0.683.912236582130.0197225428401553
0.693.915832763092690.0173775164872734
0.73.9191904113320.0159604642327426
0.713.922473189498640.015620435257239
0.723.925845328145620.0163101619703214
0.733.929449302017350.0177883420135529
0.743.933385037601910.0197030464916911
0.753.937693684717810.021668873861022
0.763.942348840556670.0233159954556797
0.773.947257406240.0243241126916983
0.783.952270879814960.0244642846436239
0.793.957205977855690.0236312792305789
0.83.961871453135660.021860802015244
0.813.966096478849830.0193191975417908
0.823.969755661800410.0162788615226142
0.833.972787051119120.0130562768776006
0.843.975202381466640.00997346117579454
0.853.977092570812710.00731408776050099
0.863.978634815660880.00534517872933449
0.873.980108340698830.0044756160484882
0.883.981921144266920.00537285393112015
0.893.984637392079730.00845020937158124
0.93.988974979983090.0138560516100851
0.913.995723648239440.0215824912700581
0.924.005535991152890.0309285837145298
0.934.018593123630240.0400509649088273
0.944.034252708822760.0460519054636551
0.954.050904562584490.0459893746171139
0.964.066275197240560.0386341301754757
0.974.078221764858830.0259399574974295
0.984.085671174482140.0126519991384482
0.994.089080506998510.00351204107894947



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.1 ;
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')