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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 26 Feb 2008 08:43:16 -0700
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/Feb/26/t12040406211gdbsxvems0x0nw.htm/, Retrieved Thu, 09 May 2024 16:53:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9161, Retrieved Thu, 09 May 2024 16:53:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen mine...] [2008-02-26 15:43:16] [6ea46950f179fadd193232743578f6bf] [Current]
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Dataseries X:
1,12
1,12
1,12
1,13
1,13
1,13
1,14
1,14
1,14
1,14
1,14
1,15
1,15
1,17
1,17
1,18
1,18
1,18
1,18
1,18
1,18
1,19
1,19
1,19
1,19
1,19
1,2
1,21
1,21
1,21
1,21
1,21
1,23
1,24
1,24
1,24
1,27
1,28
1,29
1,29
1,3
1,31
1,31
1,31
1,32
1,32
1,33
1,33
1,34
1,35
1,36
1,37
1,37
1,37
1,37
1,37
1,38
1,38
1,39
1,39
1,39
1,41
1,42
1,42
1,42
1,43
1,43
1,44
1,46
1,46
1,47
1,47
1,47
1,48
1,49
1,49
1,5
1,5
1,51
1,52
1,53
1,53
1,53
1,54




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9161&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9161&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9161&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.120357097561360.00114780674046871
0.021.121478332168220.00317019822114811
0.031.123453103272360.00491181090029243
0.041.126000687649680.00575143517917467
0.051.128734280598540.00592921105249793
0.061.131393021144730.00591580742247185
0.071.133890863897270.00595495841438676
0.081.136260529896870.00615829691794259
0.091.138596167050360.00669973986958052
0.11.141021355166340.00773511662219221
0.111.143663287534730.00923770090347213
0.121.146620384303310.0109864917377801
0.131.149930896407510.0126640518951195
0.141.153557040964550.0139664865321490
0.151.157392055239800.0146796321858749
0.161.161286581599300.0147211610354514
0.171.165083848578490.0141451357913487
0.181.168652176094650.0131166311230806
0.191.171906701217810.0118548889791714
0.21.17481722775090.0105884417120740
0.211.177403606186550.0095154629610468
0.221.179722869259920.00876668987249174
0.231.181853198216750.00839841914761947
0.241.183879044287740.00840252346996344
0.251.185880091323860.0087226939440607
0.261.187924968634150.00929352844304935
0.271.190069255270310.0100604799051667
0.281.192356589333820.0109776793647268
0.291.194821546308840.0120251163578361
0.31.197493147156920.0131911054028878
0.311.20039815104320.0144828536594310
0.321.203563525485860.0159174268751660
0.331.207017643896380.0175131291206023
0.341.210789901572090.0192786519898421
0.351.214908644733500.0212060149559213
0.361.219397601458790.0232606788567196
0.371.224271344176350.0253754974446809
0.381.229530606356200.0274603718693126
0.391.235158423155410.0294074789738857
0.41.241118008547690.0311060902572324
0.411.247353021672650.0324497500669262
0.421.253790469197340.0333570811025886
0.431.260346026642430.0337841402230535
0.441.266931133199500.0337241315815754
0.451.273460899053940.0332175200997184
0.461.279861711743510.0323427984433084
0.471.286077457618430.0312097679906289
0.481.292073475269420.0299424781173041
0.491.297837693979890.0286705498289202
0.51.303378828046060.0275041756015643
0.511.308721934447560.0265274103127269
0.521.313902034311070.0257795143625728
0.531.318956793008090.0252535918019685
0.541.323919407101970.0249014851771189
0.551.328812831526940.0246458941943564
0.561.333646288405570.0243958511639680
0.571.338414643544010.0240604269095027
0.581.343100759343040.0235780472835446
0.591.347680404662630.022918133309091
0.61.352128817705860.0220916666025425
0.611.356427678885200.0211511566713456
0.621.360571140554060.0201807821753362
0.631.364569719197790.0192832649307864
0.641.36845126258330.0185646651324202
0.651.372258779446890.0181082332709112
0.661.376045542582260.0179593180165183
0.671.379868418374910.0181199532807492
0.681.383780727855560.0185404456780254
0.691.387826035644720.0191407783950894
0.71.392034066750430.0198267730603658
0.711.396419483055720.0205088083386893
0.721.400983574619910.0211163943688829
0.731.405718157628180.0216120878023586
0.741.410610308977230.0219929886549330
0.751.415646239731350.0222761329802123
0.761.420812823967290.022489728082996
0.771.426096128402590.0226431955490838
0.781.431477562091660.0227156620534036
0.791.436929543299090.0226547815635020
0.81.442413262428910.0223927001432632
0.811.447880706496220.0218733590148800
0.821.453281521533890.0210901413742776
0.831.458573065152270.0200934514821968
0.841.463730208422210.0189874414914948
0.851.468751207682920.0178989669033915
0.861.473657761044500.0169308511704633
0.871.47849045225160.0161351388396803
0.881.483303217785750.0155113568798412
0.891.488159959619770.0150462181771255
0.91.493131913913610.0147433352073179
0.911.498287726129830.0146107292020105
0.921.503664864188580.0145795069079466
0.931.509218823928750.0144051795856645
0.941.514771303426680.0136701894975056
0.951.520015760226750.0119751613637537
0.961.524660077593260.0093063692107528
0.971.528715405526870.00643379724393864
0.981.53265910553480.00528262283928225
0.991.536822029776790.00727458421223521

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.12035709756136 & 0.00114780674046871 \tabularnewline
0.02 & 1.12147833216822 & 0.00317019822114811 \tabularnewline
0.03 & 1.12345310327236 & 0.00491181090029243 \tabularnewline
0.04 & 1.12600068764968 & 0.00575143517917467 \tabularnewline
0.05 & 1.12873428059854 & 0.00592921105249793 \tabularnewline
0.06 & 1.13139302114473 & 0.00591580742247185 \tabularnewline
0.07 & 1.13389086389727 & 0.00595495841438676 \tabularnewline
0.08 & 1.13626052989687 & 0.00615829691794259 \tabularnewline
0.09 & 1.13859616705036 & 0.00669973986958052 \tabularnewline
0.1 & 1.14102135516634 & 0.00773511662219221 \tabularnewline
0.11 & 1.14366328753473 & 0.00923770090347213 \tabularnewline
0.12 & 1.14662038430331 & 0.0109864917377801 \tabularnewline
0.13 & 1.14993089640751 & 0.0126640518951195 \tabularnewline
0.14 & 1.15355704096455 & 0.0139664865321490 \tabularnewline
0.15 & 1.15739205523980 & 0.0146796321858749 \tabularnewline
0.16 & 1.16128658159930 & 0.0147211610354514 \tabularnewline
0.17 & 1.16508384857849 & 0.0141451357913487 \tabularnewline
0.18 & 1.16865217609465 & 0.0131166311230806 \tabularnewline
0.19 & 1.17190670121781 & 0.0118548889791714 \tabularnewline
0.2 & 1.1748172277509 & 0.0105884417120740 \tabularnewline
0.21 & 1.17740360618655 & 0.0095154629610468 \tabularnewline
0.22 & 1.17972286925992 & 0.00876668987249174 \tabularnewline
0.23 & 1.18185319821675 & 0.00839841914761947 \tabularnewline
0.24 & 1.18387904428774 & 0.00840252346996344 \tabularnewline
0.25 & 1.18588009132386 & 0.0087226939440607 \tabularnewline
0.26 & 1.18792496863415 & 0.00929352844304935 \tabularnewline
0.27 & 1.19006925527031 & 0.0100604799051667 \tabularnewline
0.28 & 1.19235658933382 & 0.0109776793647268 \tabularnewline
0.29 & 1.19482154630884 & 0.0120251163578361 \tabularnewline
0.3 & 1.19749314715692 & 0.0131911054028878 \tabularnewline
0.31 & 1.2003981510432 & 0.0144828536594310 \tabularnewline
0.32 & 1.20356352548586 & 0.0159174268751660 \tabularnewline
0.33 & 1.20701764389638 & 0.0175131291206023 \tabularnewline
0.34 & 1.21078990157209 & 0.0192786519898421 \tabularnewline
0.35 & 1.21490864473350 & 0.0212060149559213 \tabularnewline
0.36 & 1.21939760145879 & 0.0232606788567196 \tabularnewline
0.37 & 1.22427134417635 & 0.0253754974446809 \tabularnewline
0.38 & 1.22953060635620 & 0.0274603718693126 \tabularnewline
0.39 & 1.23515842315541 & 0.0294074789738857 \tabularnewline
0.4 & 1.24111800854769 & 0.0311060902572324 \tabularnewline
0.41 & 1.24735302167265 & 0.0324497500669262 \tabularnewline
0.42 & 1.25379046919734 & 0.0333570811025886 \tabularnewline
0.43 & 1.26034602664243 & 0.0337841402230535 \tabularnewline
0.44 & 1.26693113319950 & 0.0337241315815754 \tabularnewline
0.45 & 1.27346089905394 & 0.0332175200997184 \tabularnewline
0.46 & 1.27986171174351 & 0.0323427984433084 \tabularnewline
0.47 & 1.28607745761843 & 0.0312097679906289 \tabularnewline
0.48 & 1.29207347526942 & 0.0299424781173041 \tabularnewline
0.49 & 1.29783769397989 & 0.0286705498289202 \tabularnewline
0.5 & 1.30337882804606 & 0.0275041756015643 \tabularnewline
0.51 & 1.30872193444756 & 0.0265274103127269 \tabularnewline
0.52 & 1.31390203431107 & 0.0257795143625728 \tabularnewline
0.53 & 1.31895679300809 & 0.0252535918019685 \tabularnewline
0.54 & 1.32391940710197 & 0.0249014851771189 \tabularnewline
0.55 & 1.32881283152694 & 0.0246458941943564 \tabularnewline
0.56 & 1.33364628840557 & 0.0243958511639680 \tabularnewline
0.57 & 1.33841464354401 & 0.0240604269095027 \tabularnewline
0.58 & 1.34310075934304 & 0.0235780472835446 \tabularnewline
0.59 & 1.34768040466263 & 0.022918133309091 \tabularnewline
0.6 & 1.35212881770586 & 0.0220916666025425 \tabularnewline
0.61 & 1.35642767888520 & 0.0211511566713456 \tabularnewline
0.62 & 1.36057114055406 & 0.0201807821753362 \tabularnewline
0.63 & 1.36456971919779 & 0.0192832649307864 \tabularnewline
0.64 & 1.3684512625833 & 0.0185646651324202 \tabularnewline
0.65 & 1.37225877944689 & 0.0181082332709112 \tabularnewline
0.66 & 1.37604554258226 & 0.0179593180165183 \tabularnewline
0.67 & 1.37986841837491 & 0.0181199532807492 \tabularnewline
0.68 & 1.38378072785556 & 0.0185404456780254 \tabularnewline
0.69 & 1.38782603564472 & 0.0191407783950894 \tabularnewline
0.7 & 1.39203406675043 & 0.0198267730603658 \tabularnewline
0.71 & 1.39641948305572 & 0.0205088083386893 \tabularnewline
0.72 & 1.40098357461991 & 0.0211163943688829 \tabularnewline
0.73 & 1.40571815762818 & 0.0216120878023586 \tabularnewline
0.74 & 1.41061030897723 & 0.0219929886549330 \tabularnewline
0.75 & 1.41564623973135 & 0.0222761329802123 \tabularnewline
0.76 & 1.42081282396729 & 0.022489728082996 \tabularnewline
0.77 & 1.42609612840259 & 0.0226431955490838 \tabularnewline
0.78 & 1.43147756209166 & 0.0227156620534036 \tabularnewline
0.79 & 1.43692954329909 & 0.0226547815635020 \tabularnewline
0.8 & 1.44241326242891 & 0.0223927001432632 \tabularnewline
0.81 & 1.44788070649622 & 0.0218733590148800 \tabularnewline
0.82 & 1.45328152153389 & 0.0210901413742776 \tabularnewline
0.83 & 1.45857306515227 & 0.0200934514821968 \tabularnewline
0.84 & 1.46373020842221 & 0.0189874414914948 \tabularnewline
0.85 & 1.46875120768292 & 0.0178989669033915 \tabularnewline
0.86 & 1.47365776104450 & 0.0169308511704633 \tabularnewline
0.87 & 1.4784904522516 & 0.0161351388396803 \tabularnewline
0.88 & 1.48330321778575 & 0.0155113568798412 \tabularnewline
0.89 & 1.48815995961977 & 0.0150462181771255 \tabularnewline
0.9 & 1.49313191391361 & 0.0147433352073179 \tabularnewline
0.91 & 1.49828772612983 & 0.0146107292020105 \tabularnewline
0.92 & 1.50366486418858 & 0.0145795069079466 \tabularnewline
0.93 & 1.50921882392875 & 0.0144051795856645 \tabularnewline
0.94 & 1.51477130342668 & 0.0136701894975056 \tabularnewline
0.95 & 1.52001576022675 & 0.0119751613637537 \tabularnewline
0.96 & 1.52466007759326 & 0.0093063692107528 \tabularnewline
0.97 & 1.52871540552687 & 0.00643379724393864 \tabularnewline
0.98 & 1.5326591055348 & 0.00528262283928225 \tabularnewline
0.99 & 1.53682202977679 & 0.00727458421223521 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9161&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]1.12035709756136[/C][C]0.00114780674046871[/C][/ROW]
[ROW][C]0.02[/C][C]1.12147833216822[/C][C]0.00317019822114811[/C][/ROW]
[ROW][C]0.03[/C][C]1.12345310327236[/C][C]0.00491181090029243[/C][/ROW]
[ROW][C]0.04[/C][C]1.12600068764968[/C][C]0.00575143517917467[/C][/ROW]
[ROW][C]0.05[/C][C]1.12873428059854[/C][C]0.00592921105249793[/C][/ROW]
[ROW][C]0.06[/C][C]1.13139302114473[/C][C]0.00591580742247185[/C][/ROW]
[ROW][C]0.07[/C][C]1.13389086389727[/C][C]0.00595495841438676[/C][/ROW]
[ROW][C]0.08[/C][C]1.13626052989687[/C][C]0.00615829691794259[/C][/ROW]
[ROW][C]0.09[/C][C]1.13859616705036[/C][C]0.00669973986958052[/C][/ROW]
[ROW][C]0.1[/C][C]1.14102135516634[/C][C]0.00773511662219221[/C][/ROW]
[ROW][C]0.11[/C][C]1.14366328753473[/C][C]0.00923770090347213[/C][/ROW]
[ROW][C]0.12[/C][C]1.14662038430331[/C][C]0.0109864917377801[/C][/ROW]
[ROW][C]0.13[/C][C]1.14993089640751[/C][C]0.0126640518951195[/C][/ROW]
[ROW][C]0.14[/C][C]1.15355704096455[/C][C]0.0139664865321490[/C][/ROW]
[ROW][C]0.15[/C][C]1.15739205523980[/C][C]0.0146796321858749[/C][/ROW]
[ROW][C]0.16[/C][C]1.16128658159930[/C][C]0.0147211610354514[/C][/ROW]
[ROW][C]0.17[/C][C]1.16508384857849[/C][C]0.0141451357913487[/C][/ROW]
[ROW][C]0.18[/C][C]1.16865217609465[/C][C]0.0131166311230806[/C][/ROW]
[ROW][C]0.19[/C][C]1.17190670121781[/C][C]0.0118548889791714[/C][/ROW]
[ROW][C]0.2[/C][C]1.1748172277509[/C][C]0.0105884417120740[/C][/ROW]
[ROW][C]0.21[/C][C]1.17740360618655[/C][C]0.0095154629610468[/C][/ROW]
[ROW][C]0.22[/C][C]1.17972286925992[/C][C]0.00876668987249174[/C][/ROW]
[ROW][C]0.23[/C][C]1.18185319821675[/C][C]0.00839841914761947[/C][/ROW]
[ROW][C]0.24[/C][C]1.18387904428774[/C][C]0.00840252346996344[/C][/ROW]
[ROW][C]0.25[/C][C]1.18588009132386[/C][C]0.0087226939440607[/C][/ROW]
[ROW][C]0.26[/C][C]1.18792496863415[/C][C]0.00929352844304935[/C][/ROW]
[ROW][C]0.27[/C][C]1.19006925527031[/C][C]0.0100604799051667[/C][/ROW]
[ROW][C]0.28[/C][C]1.19235658933382[/C][C]0.0109776793647268[/C][/ROW]
[ROW][C]0.29[/C][C]1.19482154630884[/C][C]0.0120251163578361[/C][/ROW]
[ROW][C]0.3[/C][C]1.19749314715692[/C][C]0.0131911054028878[/C][/ROW]
[ROW][C]0.31[/C][C]1.2003981510432[/C][C]0.0144828536594310[/C][/ROW]
[ROW][C]0.32[/C][C]1.20356352548586[/C][C]0.0159174268751660[/C][/ROW]
[ROW][C]0.33[/C][C]1.20701764389638[/C][C]0.0175131291206023[/C][/ROW]
[ROW][C]0.34[/C][C]1.21078990157209[/C][C]0.0192786519898421[/C][/ROW]
[ROW][C]0.35[/C][C]1.21490864473350[/C][C]0.0212060149559213[/C][/ROW]
[ROW][C]0.36[/C][C]1.21939760145879[/C][C]0.0232606788567196[/C][/ROW]
[ROW][C]0.37[/C][C]1.22427134417635[/C][C]0.0253754974446809[/C][/ROW]
[ROW][C]0.38[/C][C]1.22953060635620[/C][C]0.0274603718693126[/C][/ROW]
[ROW][C]0.39[/C][C]1.23515842315541[/C][C]0.0294074789738857[/C][/ROW]
[ROW][C]0.4[/C][C]1.24111800854769[/C][C]0.0311060902572324[/C][/ROW]
[ROW][C]0.41[/C][C]1.24735302167265[/C][C]0.0324497500669262[/C][/ROW]
[ROW][C]0.42[/C][C]1.25379046919734[/C][C]0.0333570811025886[/C][/ROW]
[ROW][C]0.43[/C][C]1.26034602664243[/C][C]0.0337841402230535[/C][/ROW]
[ROW][C]0.44[/C][C]1.26693113319950[/C][C]0.0337241315815754[/C][/ROW]
[ROW][C]0.45[/C][C]1.27346089905394[/C][C]0.0332175200997184[/C][/ROW]
[ROW][C]0.46[/C][C]1.27986171174351[/C][C]0.0323427984433084[/C][/ROW]
[ROW][C]0.47[/C][C]1.28607745761843[/C][C]0.0312097679906289[/C][/ROW]
[ROW][C]0.48[/C][C]1.29207347526942[/C][C]0.0299424781173041[/C][/ROW]
[ROW][C]0.49[/C][C]1.29783769397989[/C][C]0.0286705498289202[/C][/ROW]
[ROW][C]0.5[/C][C]1.30337882804606[/C][C]0.0275041756015643[/C][/ROW]
[ROW][C]0.51[/C][C]1.30872193444756[/C][C]0.0265274103127269[/C][/ROW]
[ROW][C]0.52[/C][C]1.31390203431107[/C][C]0.0257795143625728[/C][/ROW]
[ROW][C]0.53[/C][C]1.31895679300809[/C][C]0.0252535918019685[/C][/ROW]
[ROW][C]0.54[/C][C]1.32391940710197[/C][C]0.0249014851771189[/C][/ROW]
[ROW][C]0.55[/C][C]1.32881283152694[/C][C]0.0246458941943564[/C][/ROW]
[ROW][C]0.56[/C][C]1.33364628840557[/C][C]0.0243958511639680[/C][/ROW]
[ROW][C]0.57[/C][C]1.33841464354401[/C][C]0.0240604269095027[/C][/ROW]
[ROW][C]0.58[/C][C]1.34310075934304[/C][C]0.0235780472835446[/C][/ROW]
[ROW][C]0.59[/C][C]1.34768040466263[/C][C]0.022918133309091[/C][/ROW]
[ROW][C]0.6[/C][C]1.35212881770586[/C][C]0.0220916666025425[/C][/ROW]
[ROW][C]0.61[/C][C]1.35642767888520[/C][C]0.0211511566713456[/C][/ROW]
[ROW][C]0.62[/C][C]1.36057114055406[/C][C]0.0201807821753362[/C][/ROW]
[ROW][C]0.63[/C][C]1.36456971919779[/C][C]0.0192832649307864[/C][/ROW]
[ROW][C]0.64[/C][C]1.3684512625833[/C][C]0.0185646651324202[/C][/ROW]
[ROW][C]0.65[/C][C]1.37225877944689[/C][C]0.0181082332709112[/C][/ROW]
[ROW][C]0.66[/C][C]1.37604554258226[/C][C]0.0179593180165183[/C][/ROW]
[ROW][C]0.67[/C][C]1.37986841837491[/C][C]0.0181199532807492[/C][/ROW]
[ROW][C]0.68[/C][C]1.38378072785556[/C][C]0.0185404456780254[/C][/ROW]
[ROW][C]0.69[/C][C]1.38782603564472[/C][C]0.0191407783950894[/C][/ROW]
[ROW][C]0.7[/C][C]1.39203406675043[/C][C]0.0198267730603658[/C][/ROW]
[ROW][C]0.71[/C][C]1.39641948305572[/C][C]0.0205088083386893[/C][/ROW]
[ROW][C]0.72[/C][C]1.40098357461991[/C][C]0.0211163943688829[/C][/ROW]
[ROW][C]0.73[/C][C]1.40571815762818[/C][C]0.0216120878023586[/C][/ROW]
[ROW][C]0.74[/C][C]1.41061030897723[/C][C]0.0219929886549330[/C][/ROW]
[ROW][C]0.75[/C][C]1.41564623973135[/C][C]0.0222761329802123[/C][/ROW]
[ROW][C]0.76[/C][C]1.42081282396729[/C][C]0.022489728082996[/C][/ROW]
[ROW][C]0.77[/C][C]1.42609612840259[/C][C]0.0226431955490838[/C][/ROW]
[ROW][C]0.78[/C][C]1.43147756209166[/C][C]0.0227156620534036[/C][/ROW]
[ROW][C]0.79[/C][C]1.43692954329909[/C][C]0.0226547815635020[/C][/ROW]
[ROW][C]0.8[/C][C]1.44241326242891[/C][C]0.0223927001432632[/C][/ROW]
[ROW][C]0.81[/C][C]1.44788070649622[/C][C]0.0218733590148800[/C][/ROW]
[ROW][C]0.82[/C][C]1.45328152153389[/C][C]0.0210901413742776[/C][/ROW]
[ROW][C]0.83[/C][C]1.45857306515227[/C][C]0.0200934514821968[/C][/ROW]
[ROW][C]0.84[/C][C]1.46373020842221[/C][C]0.0189874414914948[/C][/ROW]
[ROW][C]0.85[/C][C]1.46875120768292[/C][C]0.0178989669033915[/C][/ROW]
[ROW][C]0.86[/C][C]1.47365776104450[/C][C]0.0169308511704633[/C][/ROW]
[ROW][C]0.87[/C][C]1.4784904522516[/C][C]0.0161351388396803[/C][/ROW]
[ROW][C]0.88[/C][C]1.48330321778575[/C][C]0.0155113568798412[/C][/ROW]
[ROW][C]0.89[/C][C]1.48815995961977[/C][C]0.0150462181771255[/C][/ROW]
[ROW][C]0.9[/C][C]1.49313191391361[/C][C]0.0147433352073179[/C][/ROW]
[ROW][C]0.91[/C][C]1.49828772612983[/C][C]0.0146107292020105[/C][/ROW]
[ROW][C]0.92[/C][C]1.50366486418858[/C][C]0.0145795069079466[/C][/ROW]
[ROW][C]0.93[/C][C]1.50921882392875[/C][C]0.0144051795856645[/C][/ROW]
[ROW][C]0.94[/C][C]1.51477130342668[/C][C]0.0136701894975056[/C][/ROW]
[ROW][C]0.95[/C][C]1.52001576022675[/C][C]0.0119751613637537[/C][/ROW]
[ROW][C]0.96[/C][C]1.52466007759326[/C][C]0.0093063692107528[/C][/ROW]
[ROW][C]0.97[/C][C]1.52871540552687[/C][C]0.00643379724393864[/C][/ROW]
[ROW][C]0.98[/C][C]1.5326591055348[/C][C]0.00528262283928225[/C][/ROW]
[ROW][C]0.99[/C][C]1.53682202977679[/C][C]0.00727458421223521[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9161&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9161&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
0.011.120357097561360.00114780674046871
0.021.121478332168220.00317019822114811
0.031.123453103272360.00491181090029243
0.041.126000687649680.00575143517917467
0.051.128734280598540.00592921105249793
0.061.131393021144730.00591580742247185
0.071.133890863897270.00595495841438676
0.081.136260529896870.00615829691794259
0.091.138596167050360.00669973986958052
0.11.141021355166340.00773511662219221
0.111.143663287534730.00923770090347213
0.121.146620384303310.0109864917377801
0.131.149930896407510.0126640518951195
0.141.153557040964550.0139664865321490
0.151.157392055239800.0146796321858749
0.161.161286581599300.0147211610354514
0.171.165083848578490.0141451357913487
0.181.168652176094650.0131166311230806
0.191.171906701217810.0118548889791714
0.21.17481722775090.0105884417120740
0.211.177403606186550.0095154629610468
0.221.179722869259920.00876668987249174
0.231.181853198216750.00839841914761947
0.241.183879044287740.00840252346996344
0.251.185880091323860.0087226939440607
0.261.187924968634150.00929352844304935
0.271.190069255270310.0100604799051667
0.281.192356589333820.0109776793647268
0.291.194821546308840.0120251163578361
0.31.197493147156920.0131911054028878
0.311.20039815104320.0144828536594310
0.321.203563525485860.0159174268751660
0.331.207017643896380.0175131291206023
0.341.210789901572090.0192786519898421
0.351.214908644733500.0212060149559213
0.361.219397601458790.0232606788567196
0.371.224271344176350.0253754974446809
0.381.229530606356200.0274603718693126
0.391.235158423155410.0294074789738857
0.41.241118008547690.0311060902572324
0.411.247353021672650.0324497500669262
0.421.253790469197340.0333570811025886
0.431.260346026642430.0337841402230535
0.441.266931133199500.0337241315815754
0.451.273460899053940.0332175200997184
0.461.279861711743510.0323427984433084
0.471.286077457618430.0312097679906289
0.481.292073475269420.0299424781173041
0.491.297837693979890.0286705498289202
0.51.303378828046060.0275041756015643
0.511.308721934447560.0265274103127269
0.521.313902034311070.0257795143625728
0.531.318956793008090.0252535918019685
0.541.323919407101970.0249014851771189
0.551.328812831526940.0246458941943564
0.561.333646288405570.0243958511639680
0.571.338414643544010.0240604269095027
0.581.343100759343040.0235780472835446
0.591.347680404662630.022918133309091
0.61.352128817705860.0220916666025425
0.611.356427678885200.0211511566713456
0.621.360571140554060.0201807821753362
0.631.364569719197790.0192832649307864
0.641.36845126258330.0185646651324202
0.651.372258779446890.0181082332709112
0.661.376045542582260.0179593180165183
0.671.379868418374910.0181199532807492
0.681.383780727855560.0185404456780254
0.691.387826035644720.0191407783950894
0.71.392034066750430.0198267730603658
0.711.396419483055720.0205088083386893
0.721.400983574619910.0211163943688829
0.731.405718157628180.0216120878023586
0.741.410610308977230.0219929886549330
0.751.415646239731350.0222761329802123
0.761.420812823967290.022489728082996
0.771.426096128402590.0226431955490838
0.781.431477562091660.0227156620534036
0.791.436929543299090.0226547815635020
0.81.442413262428910.0223927001432632
0.811.447880706496220.0218733590148800
0.821.453281521533890.0210901413742776
0.831.458573065152270.0200934514821968
0.841.463730208422210.0189874414914948
0.851.468751207682920.0178989669033915
0.861.473657761044500.0169308511704633
0.871.47849045225160.0161351388396803
0.881.483303217785750.0155113568798412
0.891.488159959619770.0150462181771255
0.91.493131913913610.0147433352073179
0.911.498287726129830.0146107292020105
0.921.503664864188580.0145795069079466
0.931.509218823928750.0144051795856645
0.941.514771303426680.0136701894975056
0.951.520015760226750.0119751613637537
0.961.524660077593260.0093063692107528
0.971.528715405526870.00643379724393864
0.981.53265910553480.00528262283928225
0.991.536822029776790.00727458421223521



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')