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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 27 Feb 2008 06:10:04 -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/27/t1204117832gyf765lwo77abgc.htm/, Retrieved Sun, 12 May 2024 14:44:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9195, Retrieved Sun, 12 May 2024 14:44:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact240
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielenKatri...] [2008-02-27 13:10:04] [303435f2616c8b7fa1931e576f2293ac] [Current]
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Dataseries X:
20.18
20.19
20.3
20.47
20.47
20.46
20.46
20.46
20.52
20.64
20.65
20.66
20.66
20.66
20.67
20.71
20.73
20.73
20.74
20.74
20.75
20.75
20.77
20.78
20.78
20.8
20.84
20.85
20.86
20.86
20.86
20.86
20.9
20.92
20.95
20.95
20.95
20.96
21.1
21.18
21.19
21.19
21.19
21.19
21.19
21.21
21.22
21.22
21.22
21.23
21.41
21.42
21.43
21.44
21.44
21.44
21.48
21.53
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.57
21.6
21.61
21.6
21.6
21.71
21.75
21.84
21.85
21.92
21.92
21.93
22
22
21.99
22.01
22.01
22.06
22.03
22.05
22.05
22.06
22.06
22.13
22.06
22.25
22.28
22.18




Summary of compuational 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 compuational 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=9195&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]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=9195&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9195&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120.20458341430940.0584418590381915
0.0220.25916164238840.103534962100736
0.0320.32638488347080.108456149050022
0.0420.38681601421270.0871692042600017
0.0520.43266198785230.0655765640469157
0.0620.46669418055670.0589206288079873
0.0720.49519232367310.0653362488001906
0.0820.52277254425890.0746423700291913
0.0920.55093352968230.0798723461624407
0.120.57893149226310.0788026721024119
0.1120.60526596803000.0725331015944373
0.1220.62877765514370.0638407772051694
0.1320.64907437455880.0555093654754745
0.1420.66643096151830.049092306100657
0.1520.68145963450930.0449047445933436
0.1620.69480260558420.0422337261384081
0.1720.70696749776110.0404585512726398
0.1820.71830442826890.0391408076026322
0.1920.72906080104670.038344847029597
0.220.73944605875200.0382511666046356
0.2120.74966720357460.0389936875770521
0.2220.75992862857370.0405900890149974
0.2320.77041055588140.0428330387635560
0.2420.78124601141810.0454293462072465
0.2520.79251126586180.0480434486074221
0.2620.80423539467210.0506174586104885
0.2720.81642592913100.053096493953144
0.2820.82910199285470.0556473284240028
0.2920.84232444919970.0586925252533013
0.320.85621389766530.0625301127213815
0.3120.8709507944760.0674996051844691
0.3220.88675634593790.0737162076549836
0.3320.90385709767740.0811008031290416
0.3420.92243961038720.0893386998105746
0.3520.94260390295560.0977942098592627
0.3620.96432527831230.105797175578016
0.3720.98743356152920.112548680285022
0.3821.01161648453790.117404957572067
0.3921.03644990840870.119814037677409
0.421.06145218029060.119624041443093
0.4121.08615418503190.117050093369601
0.4221.11017205430000.112711496592621
0.4321.13326754161780.107472117091557
0.4421.15538269096920.102391392378026
0.4521.17664053615650.0984231411768699
0.4621.19731099766390.0964280984896298
0.4721.21774897231580.0966113284261706
0.4821.23831776722550.098803851191111
0.4921.25931392171580.102296924664498
0.521.28090842529740.106199226510061
0.5121.30311479338020.109548438136432
0.5221.32578774898430.111612022524088
0.5321.34864924995430.111794965871304
0.5421.37133315852620.109868248133535
0.5521.39343728570470.105849664286398
0.5621.4145722367740.0999778686846721
0.5721.43439979468350.0926424417631587
0.5821.45265810114850.0842930896568784
0.5921.46917499755860.0753884683525963
0.621.48387331087670.0663297857323007
0.6121.49677216042150.0575451736340335
0.6221.50798694933190.0494464730352943
0.6321.51772860953150.0424276553854718
0.6421.52630098883650.0369187162183288
0.6521.53409468741690.0334050149010753
0.6621.54157618152060.0322713627565245
0.6721.54927213092560.0338083947043635
0.6821.55774952251180.0380884943144163
0.6921.56759214961460.0449350767604378
0.721.57937287046580.0541242600840609
0.7121.59361986379450.0652900266077393
0.7221.61077491270250.0779584790039203
0.7321.63114367225320.0914070925198897
0.7421.65484210565970.104744432843243
0.7521.68174861835790.116861628365511
0.7621.71147544645040.126602707023954
0.7721.74337285828470.132948980226492
0.7821.77657421741030.135168886566329
0.7921.81007990521280.133012074258447
0.821.84286701970130.126691440079212
0.8121.87400418757720.116932470726252
0.8221.90274983180150.104767956825953
0.8321.92861754492550.091350990557235
0.8421.95140040405880.0778521733025897
0.8521.97115318531860.0651983017037933
0.8621.98813636932450.0540848110544953
0.8722.00273147341380.0448824395561646
0.8822.01534790483410.0375213426101883
0.8922.02635777865070.0316388914852097
0.922.03610970136780.0267973112143147
0.9122.04506952345590.0230061811416788
0.9222.05409403445330.0212186576736753
0.9322.06474612083030.0236009997091608
0.9422.07942476635080.0319242038893051
0.9522.10099943018070.0452329881217675
0.9622.13173953941670.0595805033527032
0.9722.17164784274560.0686081050623507
0.9822.21664619658770.065020247643647
0.9922.25725109731730.046332156287465

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20.2045834143094 & 0.0584418590381915 \tabularnewline
0.02 & 20.2591616423884 & 0.103534962100736 \tabularnewline
0.03 & 20.3263848834708 & 0.108456149050022 \tabularnewline
0.04 & 20.3868160142127 & 0.0871692042600017 \tabularnewline
0.05 & 20.4326619878523 & 0.0655765640469157 \tabularnewline
0.06 & 20.4666941805567 & 0.0589206288079873 \tabularnewline
0.07 & 20.4951923236731 & 0.0653362488001906 \tabularnewline
0.08 & 20.5227725442589 & 0.0746423700291913 \tabularnewline
0.09 & 20.5509335296823 & 0.0798723461624407 \tabularnewline
0.1 & 20.5789314922631 & 0.0788026721024119 \tabularnewline
0.11 & 20.6052659680300 & 0.0725331015944373 \tabularnewline
0.12 & 20.6287776551437 & 0.0638407772051694 \tabularnewline
0.13 & 20.6490743745588 & 0.0555093654754745 \tabularnewline
0.14 & 20.6664309615183 & 0.049092306100657 \tabularnewline
0.15 & 20.6814596345093 & 0.0449047445933436 \tabularnewline
0.16 & 20.6948026055842 & 0.0422337261384081 \tabularnewline
0.17 & 20.7069674977611 & 0.0404585512726398 \tabularnewline
0.18 & 20.7183044282689 & 0.0391408076026322 \tabularnewline
0.19 & 20.7290608010467 & 0.038344847029597 \tabularnewline
0.2 & 20.7394460587520 & 0.0382511666046356 \tabularnewline
0.21 & 20.7496672035746 & 0.0389936875770521 \tabularnewline
0.22 & 20.7599286285737 & 0.0405900890149974 \tabularnewline
0.23 & 20.7704105558814 & 0.0428330387635560 \tabularnewline
0.24 & 20.7812460114181 & 0.0454293462072465 \tabularnewline
0.25 & 20.7925112658618 & 0.0480434486074221 \tabularnewline
0.26 & 20.8042353946721 & 0.0506174586104885 \tabularnewline
0.27 & 20.8164259291310 & 0.053096493953144 \tabularnewline
0.28 & 20.8291019928547 & 0.0556473284240028 \tabularnewline
0.29 & 20.8423244491997 & 0.0586925252533013 \tabularnewline
0.3 & 20.8562138976653 & 0.0625301127213815 \tabularnewline
0.31 & 20.870950794476 & 0.0674996051844691 \tabularnewline
0.32 & 20.8867563459379 & 0.0737162076549836 \tabularnewline
0.33 & 20.9038570976774 & 0.0811008031290416 \tabularnewline
0.34 & 20.9224396103872 & 0.0893386998105746 \tabularnewline
0.35 & 20.9426039029556 & 0.0977942098592627 \tabularnewline
0.36 & 20.9643252783123 & 0.105797175578016 \tabularnewline
0.37 & 20.9874335615292 & 0.112548680285022 \tabularnewline
0.38 & 21.0116164845379 & 0.117404957572067 \tabularnewline
0.39 & 21.0364499084087 & 0.119814037677409 \tabularnewline
0.4 & 21.0614521802906 & 0.119624041443093 \tabularnewline
0.41 & 21.0861541850319 & 0.117050093369601 \tabularnewline
0.42 & 21.1101720543000 & 0.112711496592621 \tabularnewline
0.43 & 21.1332675416178 & 0.107472117091557 \tabularnewline
0.44 & 21.1553826909692 & 0.102391392378026 \tabularnewline
0.45 & 21.1766405361565 & 0.0984231411768699 \tabularnewline
0.46 & 21.1973109976639 & 0.0964280984896298 \tabularnewline
0.47 & 21.2177489723158 & 0.0966113284261706 \tabularnewline
0.48 & 21.2383177672255 & 0.098803851191111 \tabularnewline
0.49 & 21.2593139217158 & 0.102296924664498 \tabularnewline
0.5 & 21.2809084252974 & 0.106199226510061 \tabularnewline
0.51 & 21.3031147933802 & 0.109548438136432 \tabularnewline
0.52 & 21.3257877489843 & 0.111612022524088 \tabularnewline
0.53 & 21.3486492499543 & 0.111794965871304 \tabularnewline
0.54 & 21.3713331585262 & 0.109868248133535 \tabularnewline
0.55 & 21.3934372857047 & 0.105849664286398 \tabularnewline
0.56 & 21.414572236774 & 0.0999778686846721 \tabularnewline
0.57 & 21.4343997946835 & 0.0926424417631587 \tabularnewline
0.58 & 21.4526581011485 & 0.0842930896568784 \tabularnewline
0.59 & 21.4691749975586 & 0.0753884683525963 \tabularnewline
0.6 & 21.4838733108767 & 0.0663297857323007 \tabularnewline
0.61 & 21.4967721604215 & 0.0575451736340335 \tabularnewline
0.62 & 21.5079869493319 & 0.0494464730352943 \tabularnewline
0.63 & 21.5177286095315 & 0.0424276553854718 \tabularnewline
0.64 & 21.5263009888365 & 0.0369187162183288 \tabularnewline
0.65 & 21.5340946874169 & 0.0334050149010753 \tabularnewline
0.66 & 21.5415761815206 & 0.0322713627565245 \tabularnewline
0.67 & 21.5492721309256 & 0.0338083947043635 \tabularnewline
0.68 & 21.5577495225118 & 0.0380884943144163 \tabularnewline
0.69 & 21.5675921496146 & 0.0449350767604378 \tabularnewline
0.7 & 21.5793728704658 & 0.0541242600840609 \tabularnewline
0.71 & 21.5936198637945 & 0.0652900266077393 \tabularnewline
0.72 & 21.6107749127025 & 0.0779584790039203 \tabularnewline
0.73 & 21.6311436722532 & 0.0914070925198897 \tabularnewline
0.74 & 21.6548421056597 & 0.104744432843243 \tabularnewline
0.75 & 21.6817486183579 & 0.116861628365511 \tabularnewline
0.76 & 21.7114754464504 & 0.126602707023954 \tabularnewline
0.77 & 21.7433728582847 & 0.132948980226492 \tabularnewline
0.78 & 21.7765742174103 & 0.135168886566329 \tabularnewline
0.79 & 21.8100799052128 & 0.133012074258447 \tabularnewline
0.8 & 21.8428670197013 & 0.126691440079212 \tabularnewline
0.81 & 21.8740041875772 & 0.116932470726252 \tabularnewline
0.82 & 21.9027498318015 & 0.104767956825953 \tabularnewline
0.83 & 21.9286175449255 & 0.091350990557235 \tabularnewline
0.84 & 21.9514004040588 & 0.0778521733025897 \tabularnewline
0.85 & 21.9711531853186 & 0.0651983017037933 \tabularnewline
0.86 & 21.9881363693245 & 0.0540848110544953 \tabularnewline
0.87 & 22.0027314734138 & 0.0448824395561646 \tabularnewline
0.88 & 22.0153479048341 & 0.0375213426101883 \tabularnewline
0.89 & 22.0263577786507 & 0.0316388914852097 \tabularnewline
0.9 & 22.0361097013678 & 0.0267973112143147 \tabularnewline
0.91 & 22.0450695234559 & 0.0230061811416788 \tabularnewline
0.92 & 22.0540940344533 & 0.0212186576736753 \tabularnewline
0.93 & 22.0647461208303 & 0.0236009997091608 \tabularnewline
0.94 & 22.0794247663508 & 0.0319242038893051 \tabularnewline
0.95 & 22.1009994301807 & 0.0452329881217675 \tabularnewline
0.96 & 22.1317395394167 & 0.0595805033527032 \tabularnewline
0.97 & 22.1716478427456 & 0.0686081050623507 \tabularnewline
0.98 & 22.2166461965877 & 0.065020247643647 \tabularnewline
0.99 & 22.2572510973173 & 0.046332156287465 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9195&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]20.2045834143094[/C][C]0.0584418590381915[/C][/ROW]
[ROW][C]0.02[/C][C]20.2591616423884[/C][C]0.103534962100736[/C][/ROW]
[ROW][C]0.03[/C][C]20.3263848834708[/C][C]0.108456149050022[/C][/ROW]
[ROW][C]0.04[/C][C]20.3868160142127[/C][C]0.0871692042600017[/C][/ROW]
[ROW][C]0.05[/C][C]20.4326619878523[/C][C]0.0655765640469157[/C][/ROW]
[ROW][C]0.06[/C][C]20.4666941805567[/C][C]0.0589206288079873[/C][/ROW]
[ROW][C]0.07[/C][C]20.4951923236731[/C][C]0.0653362488001906[/C][/ROW]
[ROW][C]0.08[/C][C]20.5227725442589[/C][C]0.0746423700291913[/C][/ROW]
[ROW][C]0.09[/C][C]20.5509335296823[/C][C]0.0798723461624407[/C][/ROW]
[ROW][C]0.1[/C][C]20.5789314922631[/C][C]0.0788026721024119[/C][/ROW]
[ROW][C]0.11[/C][C]20.6052659680300[/C][C]0.0725331015944373[/C][/ROW]
[ROW][C]0.12[/C][C]20.6287776551437[/C][C]0.0638407772051694[/C][/ROW]
[ROW][C]0.13[/C][C]20.6490743745588[/C][C]0.0555093654754745[/C][/ROW]
[ROW][C]0.14[/C][C]20.6664309615183[/C][C]0.049092306100657[/C][/ROW]
[ROW][C]0.15[/C][C]20.6814596345093[/C][C]0.0449047445933436[/C][/ROW]
[ROW][C]0.16[/C][C]20.6948026055842[/C][C]0.0422337261384081[/C][/ROW]
[ROW][C]0.17[/C][C]20.7069674977611[/C][C]0.0404585512726398[/C][/ROW]
[ROW][C]0.18[/C][C]20.7183044282689[/C][C]0.0391408076026322[/C][/ROW]
[ROW][C]0.19[/C][C]20.7290608010467[/C][C]0.038344847029597[/C][/ROW]
[ROW][C]0.2[/C][C]20.7394460587520[/C][C]0.0382511666046356[/C][/ROW]
[ROW][C]0.21[/C][C]20.7496672035746[/C][C]0.0389936875770521[/C][/ROW]
[ROW][C]0.22[/C][C]20.7599286285737[/C][C]0.0405900890149974[/C][/ROW]
[ROW][C]0.23[/C][C]20.7704105558814[/C][C]0.0428330387635560[/C][/ROW]
[ROW][C]0.24[/C][C]20.7812460114181[/C][C]0.0454293462072465[/C][/ROW]
[ROW][C]0.25[/C][C]20.7925112658618[/C][C]0.0480434486074221[/C][/ROW]
[ROW][C]0.26[/C][C]20.8042353946721[/C][C]0.0506174586104885[/C][/ROW]
[ROW][C]0.27[/C][C]20.8164259291310[/C][C]0.053096493953144[/C][/ROW]
[ROW][C]0.28[/C][C]20.8291019928547[/C][C]0.0556473284240028[/C][/ROW]
[ROW][C]0.29[/C][C]20.8423244491997[/C][C]0.0586925252533013[/C][/ROW]
[ROW][C]0.3[/C][C]20.8562138976653[/C][C]0.0625301127213815[/C][/ROW]
[ROW][C]0.31[/C][C]20.870950794476[/C][C]0.0674996051844691[/C][/ROW]
[ROW][C]0.32[/C][C]20.8867563459379[/C][C]0.0737162076549836[/C][/ROW]
[ROW][C]0.33[/C][C]20.9038570976774[/C][C]0.0811008031290416[/C][/ROW]
[ROW][C]0.34[/C][C]20.9224396103872[/C][C]0.0893386998105746[/C][/ROW]
[ROW][C]0.35[/C][C]20.9426039029556[/C][C]0.0977942098592627[/C][/ROW]
[ROW][C]0.36[/C][C]20.9643252783123[/C][C]0.105797175578016[/C][/ROW]
[ROW][C]0.37[/C][C]20.9874335615292[/C][C]0.112548680285022[/C][/ROW]
[ROW][C]0.38[/C][C]21.0116164845379[/C][C]0.117404957572067[/C][/ROW]
[ROW][C]0.39[/C][C]21.0364499084087[/C][C]0.119814037677409[/C][/ROW]
[ROW][C]0.4[/C][C]21.0614521802906[/C][C]0.119624041443093[/C][/ROW]
[ROW][C]0.41[/C][C]21.0861541850319[/C][C]0.117050093369601[/C][/ROW]
[ROW][C]0.42[/C][C]21.1101720543000[/C][C]0.112711496592621[/C][/ROW]
[ROW][C]0.43[/C][C]21.1332675416178[/C][C]0.107472117091557[/C][/ROW]
[ROW][C]0.44[/C][C]21.1553826909692[/C][C]0.102391392378026[/C][/ROW]
[ROW][C]0.45[/C][C]21.1766405361565[/C][C]0.0984231411768699[/C][/ROW]
[ROW][C]0.46[/C][C]21.1973109976639[/C][C]0.0964280984896298[/C][/ROW]
[ROW][C]0.47[/C][C]21.2177489723158[/C][C]0.0966113284261706[/C][/ROW]
[ROW][C]0.48[/C][C]21.2383177672255[/C][C]0.098803851191111[/C][/ROW]
[ROW][C]0.49[/C][C]21.2593139217158[/C][C]0.102296924664498[/C][/ROW]
[ROW][C]0.5[/C][C]21.2809084252974[/C][C]0.106199226510061[/C][/ROW]
[ROW][C]0.51[/C][C]21.3031147933802[/C][C]0.109548438136432[/C][/ROW]
[ROW][C]0.52[/C][C]21.3257877489843[/C][C]0.111612022524088[/C][/ROW]
[ROW][C]0.53[/C][C]21.3486492499543[/C][C]0.111794965871304[/C][/ROW]
[ROW][C]0.54[/C][C]21.3713331585262[/C][C]0.109868248133535[/C][/ROW]
[ROW][C]0.55[/C][C]21.3934372857047[/C][C]0.105849664286398[/C][/ROW]
[ROW][C]0.56[/C][C]21.414572236774[/C][C]0.0999778686846721[/C][/ROW]
[ROW][C]0.57[/C][C]21.4343997946835[/C][C]0.0926424417631587[/C][/ROW]
[ROW][C]0.58[/C][C]21.4526581011485[/C][C]0.0842930896568784[/C][/ROW]
[ROW][C]0.59[/C][C]21.4691749975586[/C][C]0.0753884683525963[/C][/ROW]
[ROW][C]0.6[/C][C]21.4838733108767[/C][C]0.0663297857323007[/C][/ROW]
[ROW][C]0.61[/C][C]21.4967721604215[/C][C]0.0575451736340335[/C][/ROW]
[ROW][C]0.62[/C][C]21.5079869493319[/C][C]0.0494464730352943[/C][/ROW]
[ROW][C]0.63[/C][C]21.5177286095315[/C][C]0.0424276553854718[/C][/ROW]
[ROW][C]0.64[/C][C]21.5263009888365[/C][C]0.0369187162183288[/C][/ROW]
[ROW][C]0.65[/C][C]21.5340946874169[/C][C]0.0334050149010753[/C][/ROW]
[ROW][C]0.66[/C][C]21.5415761815206[/C][C]0.0322713627565245[/C][/ROW]
[ROW][C]0.67[/C][C]21.5492721309256[/C][C]0.0338083947043635[/C][/ROW]
[ROW][C]0.68[/C][C]21.5577495225118[/C][C]0.0380884943144163[/C][/ROW]
[ROW][C]0.69[/C][C]21.5675921496146[/C][C]0.0449350767604378[/C][/ROW]
[ROW][C]0.7[/C][C]21.5793728704658[/C][C]0.0541242600840609[/C][/ROW]
[ROW][C]0.71[/C][C]21.5936198637945[/C][C]0.0652900266077393[/C][/ROW]
[ROW][C]0.72[/C][C]21.6107749127025[/C][C]0.0779584790039203[/C][/ROW]
[ROW][C]0.73[/C][C]21.6311436722532[/C][C]0.0914070925198897[/C][/ROW]
[ROW][C]0.74[/C][C]21.6548421056597[/C][C]0.104744432843243[/C][/ROW]
[ROW][C]0.75[/C][C]21.6817486183579[/C][C]0.116861628365511[/C][/ROW]
[ROW][C]0.76[/C][C]21.7114754464504[/C][C]0.126602707023954[/C][/ROW]
[ROW][C]0.77[/C][C]21.7433728582847[/C][C]0.132948980226492[/C][/ROW]
[ROW][C]0.78[/C][C]21.7765742174103[/C][C]0.135168886566329[/C][/ROW]
[ROW][C]0.79[/C][C]21.8100799052128[/C][C]0.133012074258447[/C][/ROW]
[ROW][C]0.8[/C][C]21.8428670197013[/C][C]0.126691440079212[/C][/ROW]
[ROW][C]0.81[/C][C]21.8740041875772[/C][C]0.116932470726252[/C][/ROW]
[ROW][C]0.82[/C][C]21.9027498318015[/C][C]0.104767956825953[/C][/ROW]
[ROW][C]0.83[/C][C]21.9286175449255[/C][C]0.091350990557235[/C][/ROW]
[ROW][C]0.84[/C][C]21.9514004040588[/C][C]0.0778521733025897[/C][/ROW]
[ROW][C]0.85[/C][C]21.9711531853186[/C][C]0.0651983017037933[/C][/ROW]
[ROW][C]0.86[/C][C]21.9881363693245[/C][C]0.0540848110544953[/C][/ROW]
[ROW][C]0.87[/C][C]22.0027314734138[/C][C]0.0448824395561646[/C][/ROW]
[ROW][C]0.88[/C][C]22.0153479048341[/C][C]0.0375213426101883[/C][/ROW]
[ROW][C]0.89[/C][C]22.0263577786507[/C][C]0.0316388914852097[/C][/ROW]
[ROW][C]0.9[/C][C]22.0361097013678[/C][C]0.0267973112143147[/C][/ROW]
[ROW][C]0.91[/C][C]22.0450695234559[/C][C]0.0230061811416788[/C][/ROW]
[ROW][C]0.92[/C][C]22.0540940344533[/C][C]0.0212186576736753[/C][/ROW]
[ROW][C]0.93[/C][C]22.0647461208303[/C][C]0.0236009997091608[/C][/ROW]
[ROW][C]0.94[/C][C]22.0794247663508[/C][C]0.0319242038893051[/C][/ROW]
[ROW][C]0.95[/C][C]22.1009994301807[/C][C]0.0452329881217675[/C][/ROW]
[ROW][C]0.96[/C][C]22.1317395394167[/C][C]0.0595805033527032[/C][/ROW]
[ROW][C]0.97[/C][C]22.1716478427456[/C][C]0.0686081050623507[/C][/ROW]
[ROW][C]0.98[/C][C]22.2166461965877[/C][C]0.065020247643647[/C][/ROW]
[ROW][C]0.99[/C][C]22.2572510973173[/C][C]0.046332156287465[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9195&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9195&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
0.0120.20458341430940.0584418590381915
0.0220.25916164238840.103534962100736
0.0320.32638488347080.108456149050022
0.0420.38681601421270.0871692042600017
0.0520.43266198785230.0655765640469157
0.0620.46669418055670.0589206288079873
0.0720.49519232367310.0653362488001906
0.0820.52277254425890.0746423700291913
0.0920.55093352968230.0798723461624407
0.120.57893149226310.0788026721024119
0.1120.60526596803000.0725331015944373
0.1220.62877765514370.0638407772051694
0.1320.64907437455880.0555093654754745
0.1420.66643096151830.049092306100657
0.1520.68145963450930.0449047445933436
0.1620.69480260558420.0422337261384081
0.1720.70696749776110.0404585512726398
0.1820.71830442826890.0391408076026322
0.1920.72906080104670.038344847029597
0.220.73944605875200.0382511666046356
0.2120.74966720357460.0389936875770521
0.2220.75992862857370.0405900890149974
0.2320.77041055588140.0428330387635560
0.2420.78124601141810.0454293462072465
0.2520.79251126586180.0480434486074221
0.2620.80423539467210.0506174586104885
0.2720.81642592913100.053096493953144
0.2820.82910199285470.0556473284240028
0.2920.84232444919970.0586925252533013
0.320.85621389766530.0625301127213815
0.3120.8709507944760.0674996051844691
0.3220.88675634593790.0737162076549836
0.3320.90385709767740.0811008031290416
0.3420.92243961038720.0893386998105746
0.3520.94260390295560.0977942098592627
0.3620.96432527831230.105797175578016
0.3720.98743356152920.112548680285022
0.3821.01161648453790.117404957572067
0.3921.03644990840870.119814037677409
0.421.06145218029060.119624041443093
0.4121.08615418503190.117050093369601
0.4221.11017205430000.112711496592621
0.4321.13326754161780.107472117091557
0.4421.15538269096920.102391392378026
0.4521.17664053615650.0984231411768699
0.4621.19731099766390.0964280984896298
0.4721.21774897231580.0966113284261706
0.4821.23831776722550.098803851191111
0.4921.25931392171580.102296924664498
0.521.28090842529740.106199226510061
0.5121.30311479338020.109548438136432
0.5221.32578774898430.111612022524088
0.5321.34864924995430.111794965871304
0.5421.37133315852620.109868248133535
0.5521.39343728570470.105849664286398
0.5621.4145722367740.0999778686846721
0.5721.43439979468350.0926424417631587
0.5821.45265810114850.0842930896568784
0.5921.46917499755860.0753884683525963
0.621.48387331087670.0663297857323007
0.6121.49677216042150.0575451736340335
0.6221.50798694933190.0494464730352943
0.6321.51772860953150.0424276553854718
0.6421.52630098883650.0369187162183288
0.6521.53409468741690.0334050149010753
0.6621.54157618152060.0322713627565245
0.6721.54927213092560.0338083947043635
0.6821.55774952251180.0380884943144163
0.6921.56759214961460.0449350767604378
0.721.57937287046580.0541242600840609
0.7121.59361986379450.0652900266077393
0.7221.61077491270250.0779584790039203
0.7321.63114367225320.0914070925198897
0.7421.65484210565970.104744432843243
0.7521.68174861835790.116861628365511
0.7621.71147544645040.126602707023954
0.7721.74337285828470.132948980226492
0.7821.77657421741030.135168886566329
0.7921.81007990521280.133012074258447
0.821.84286701970130.126691440079212
0.8121.87400418757720.116932470726252
0.8221.90274983180150.104767956825953
0.8321.92861754492550.091350990557235
0.8421.95140040405880.0778521733025897
0.8521.97115318531860.0651983017037933
0.8621.98813636932450.0540848110544953
0.8722.00273147341380.0448824395561646
0.8822.01534790483410.0375213426101883
0.8922.02635777865070.0316388914852097
0.922.03610970136780.0267973112143147
0.9122.04506952345590.0230061811416788
0.9222.05409403445330.0212186576736753
0.9322.06474612083030.0236009997091608
0.9422.07942476635080.0319242038893051
0.9522.10099943018070.0452329881217675
0.9622.13173953941670.0595805033527032
0.9722.17164784274560.0686081050623507
0.9822.21664619658770.065020247643647
0.9922.25725109731730.046332156287465



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')