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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 03 Oct 2014 14:38:02 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/03/t1412343606ob2s1dhd8zw8z0z.htm/, Retrieved Fri, 10 May 2024 11:35:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238432, Retrieved Fri, 10 May 2024 11:35:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2014-10-03 13:38:02] [7e6d0f152da1c8c00143095b938e0e97] [Current]
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Dataseries X:
4.8
4
3.5
4.1
4.1
3.8
3.5
4.1
4.5
4.1
3.8
4.6
5.2
4.4
4.3
4.7
5.1
4.6
4.7
4.9
5.1
4.6
4.6
4.8
5.1
4.8
4.4
4.8
4.7
4
3.5
4
3.7
3.1
2.9
3.3
3.5
3
2.7
3.2
3.8
3.3
3.1
3.5
3.9
3.4
3.2
3.6
3.9
3.2
3
3.4
3.6
3
3
3.6
3.6
3.3
3.3
3.6
3.8
3.3
3.1
3.4
3.5
3.1
3
3.3
3.7
3.1
2.9
3.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238432&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238432&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238432&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'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.752348035095130.154090997574493
0.022.821281601591590.104523554361075
0.032.880455195178190.0727128670561941
0.042.923259432534440.0577675786165956
0.052.953280235074880.0486953195876461
0.062.975215569760060.0413321582911781
0.072.992333384979050.0371186120362158
0.083.006787775506980.0372562705467555
0.093.020064354173070.0403841340947297
0.13.0330850605330.0441550294715511
0.113.046251186075450.0469862583242683
0.123.0595918262370.0484487532481944
0.133.072982961654130.049035440045696
0.143.086337856956710.0497362401584375
0.153.099703606323670.0514993873283724
0.163.113256849977130.054766770901277
0.173.127232617321150.0593301629756138
0.183.141833682358990.0645315306928164
0.193.157159740915970.069571349200676
0.23.173177260821690.0737592684768276
0.213.189731951723650.0766467977775251
0.223.206592454199460.0780894582621343
0.233.223507915600780.0782268802278603
0.243.240262552770070.0774377384882839
0.253.256714760554440.0762375655592908
0.263.272814432793460.075165145272232
0.273.288598127077660.0746717999395419
0.283.304166430974310.0750174650301097
0.293.319650840632770.0762124247291309
0.33.335178500330710.078061387091594
0.313.350842420363730.0802036174935866
0.323.366682676241490.0822341144589247
0.333.382681167567130.0838016403648619
0.343.398769449992970.0846587446219848
0.353.414846585210970.0847045570361855
0.363.430802352834710.0839920884393753
0.373.446540744869890.0827128735886809
0.383.461999343273550.0811521272101828
0.393.477161650927290.0796380851454177
0.43.492061257693250.0784871240187537
0.413.506778417589080.0779674955504422
0.423.521430836413040.0782553052600106
0.433.536161046417570.0794331873980881
0.443.551122698543870.0814949187638908
0.453.566467614787440.0843749925581719
0.463.582334772839820.0879502298367664
0.473.598841784318690.0920722172529593
0.483.61607902434130.0965668852163962
0.493.63410639404610.101242770856937
0.53.652952661548990.105914133820094
0.513.672617297719190.110412016491185
0.523.693074598003820.114586018822052
0.533.714279643036360.118354663701504
0.543.736175378833070.121673276656617
0.553.758699930784880.124551921192909
0.563.78179333075150.127040986843162
0.573.805403174792820.129211530004278
0.583.829489256513640.131137583137345
0.593.85402774083580.13289939265038
0.63.879015710344540.134588394049202
0.613.904476733568410.136323577684227
0.623.930467412546680.138264920300693
0.633.957083797515520.140636218931643
0.643.98446542264060.143700748052718
0.654.01279393873460.147727732455981
0.664.0422833022150.152937083735416
0.674.073159477659650.159389826189556
0.684.105629614015920.166938186296258
0.694.139843338821390.175174476041983
0.74.17585158235370.183443795660688
0.714.213570446468790.190905609110348
0.724.252758362581270.196651376666555
0.734.293013675943650.199833600126461
0.744.333796793029070.199806954625826
0.754.374476558517930.196223449387779
0.764.41439544356010.189139583840046
0.774.452943554471810.178983780100037
0.784.489628566263750.166543308152705
0.794.524128360993990.152829091622623
0.84.556315844087280.138931005120988
0.814.586250959263170.125837160923907
0.824.614142582236740.114272200754462
0.834.64029154824320.104576767745086
0.844.665033980478870.0966923252978226
0.854.688709194614840.0902868937197684
0.864.711675598731620.0850004832130282
0.874.734386777743230.0807922707672648
0.884.757513884013020.0782560345474352
0.894.782059178445110.0787776559741659
0.94.809360259020710.0840735009079062
0.914.84086549103630.0947946646034529
0.924.87761663401620.108959470141607
0.934.919547462660310.12163772579771
0.944.964980060855550.126313070302641
0.955.010918435185120.11788436371618
0.965.054550701777750.0966918217686382
0.975.095318625110550.0719906237375492
0.985.135049782191910.0626932907514277
0.995.17316204124470.0783663454433584

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.75234803509513 & 0.154090997574493 \tabularnewline
0.02 & 2.82128160159159 & 0.104523554361075 \tabularnewline
0.03 & 2.88045519517819 & 0.0727128670561941 \tabularnewline
0.04 & 2.92325943253444 & 0.0577675786165956 \tabularnewline
0.05 & 2.95328023507488 & 0.0486953195876461 \tabularnewline
0.06 & 2.97521556976006 & 0.0413321582911781 \tabularnewline
0.07 & 2.99233338497905 & 0.0371186120362158 \tabularnewline
0.08 & 3.00678777550698 & 0.0372562705467555 \tabularnewline
0.09 & 3.02006435417307 & 0.0403841340947297 \tabularnewline
0.1 & 3.033085060533 & 0.0441550294715511 \tabularnewline
0.11 & 3.04625118607545 & 0.0469862583242683 \tabularnewline
0.12 & 3.059591826237 & 0.0484487532481944 \tabularnewline
0.13 & 3.07298296165413 & 0.049035440045696 \tabularnewline
0.14 & 3.08633785695671 & 0.0497362401584375 \tabularnewline
0.15 & 3.09970360632367 & 0.0514993873283724 \tabularnewline
0.16 & 3.11325684997713 & 0.054766770901277 \tabularnewline
0.17 & 3.12723261732115 & 0.0593301629756138 \tabularnewline
0.18 & 3.14183368235899 & 0.0645315306928164 \tabularnewline
0.19 & 3.15715974091597 & 0.069571349200676 \tabularnewline
0.2 & 3.17317726082169 & 0.0737592684768276 \tabularnewline
0.21 & 3.18973195172365 & 0.0766467977775251 \tabularnewline
0.22 & 3.20659245419946 & 0.0780894582621343 \tabularnewline
0.23 & 3.22350791560078 & 0.0782268802278603 \tabularnewline
0.24 & 3.24026255277007 & 0.0774377384882839 \tabularnewline
0.25 & 3.25671476055444 & 0.0762375655592908 \tabularnewline
0.26 & 3.27281443279346 & 0.075165145272232 \tabularnewline
0.27 & 3.28859812707766 & 0.0746717999395419 \tabularnewline
0.28 & 3.30416643097431 & 0.0750174650301097 \tabularnewline
0.29 & 3.31965084063277 & 0.0762124247291309 \tabularnewline
0.3 & 3.33517850033071 & 0.078061387091594 \tabularnewline
0.31 & 3.35084242036373 & 0.0802036174935866 \tabularnewline
0.32 & 3.36668267624149 & 0.0822341144589247 \tabularnewline
0.33 & 3.38268116756713 & 0.0838016403648619 \tabularnewline
0.34 & 3.39876944999297 & 0.0846587446219848 \tabularnewline
0.35 & 3.41484658521097 & 0.0847045570361855 \tabularnewline
0.36 & 3.43080235283471 & 0.0839920884393753 \tabularnewline
0.37 & 3.44654074486989 & 0.0827128735886809 \tabularnewline
0.38 & 3.46199934327355 & 0.0811521272101828 \tabularnewline
0.39 & 3.47716165092729 & 0.0796380851454177 \tabularnewline
0.4 & 3.49206125769325 & 0.0784871240187537 \tabularnewline
0.41 & 3.50677841758908 & 0.0779674955504422 \tabularnewline
0.42 & 3.52143083641304 & 0.0782553052600106 \tabularnewline
0.43 & 3.53616104641757 & 0.0794331873980881 \tabularnewline
0.44 & 3.55112269854387 & 0.0814949187638908 \tabularnewline
0.45 & 3.56646761478744 & 0.0843749925581719 \tabularnewline
0.46 & 3.58233477283982 & 0.0879502298367664 \tabularnewline
0.47 & 3.59884178431869 & 0.0920722172529593 \tabularnewline
0.48 & 3.6160790243413 & 0.0965668852163962 \tabularnewline
0.49 & 3.6341063940461 & 0.101242770856937 \tabularnewline
0.5 & 3.65295266154899 & 0.105914133820094 \tabularnewline
0.51 & 3.67261729771919 & 0.110412016491185 \tabularnewline
0.52 & 3.69307459800382 & 0.114586018822052 \tabularnewline
0.53 & 3.71427964303636 & 0.118354663701504 \tabularnewline
0.54 & 3.73617537883307 & 0.121673276656617 \tabularnewline
0.55 & 3.75869993078488 & 0.124551921192909 \tabularnewline
0.56 & 3.7817933307515 & 0.127040986843162 \tabularnewline
0.57 & 3.80540317479282 & 0.129211530004278 \tabularnewline
0.58 & 3.82948925651364 & 0.131137583137345 \tabularnewline
0.59 & 3.8540277408358 & 0.13289939265038 \tabularnewline
0.6 & 3.87901571034454 & 0.134588394049202 \tabularnewline
0.61 & 3.90447673356841 & 0.136323577684227 \tabularnewline
0.62 & 3.93046741254668 & 0.138264920300693 \tabularnewline
0.63 & 3.95708379751552 & 0.140636218931643 \tabularnewline
0.64 & 3.9844654226406 & 0.143700748052718 \tabularnewline
0.65 & 4.0127939387346 & 0.147727732455981 \tabularnewline
0.66 & 4.042283302215 & 0.152937083735416 \tabularnewline
0.67 & 4.07315947765965 & 0.159389826189556 \tabularnewline
0.68 & 4.10562961401592 & 0.166938186296258 \tabularnewline
0.69 & 4.13984333882139 & 0.175174476041983 \tabularnewline
0.7 & 4.1758515823537 & 0.183443795660688 \tabularnewline
0.71 & 4.21357044646879 & 0.190905609110348 \tabularnewline
0.72 & 4.25275836258127 & 0.196651376666555 \tabularnewline
0.73 & 4.29301367594365 & 0.199833600126461 \tabularnewline
0.74 & 4.33379679302907 & 0.199806954625826 \tabularnewline
0.75 & 4.37447655851793 & 0.196223449387779 \tabularnewline
0.76 & 4.4143954435601 & 0.189139583840046 \tabularnewline
0.77 & 4.45294355447181 & 0.178983780100037 \tabularnewline
0.78 & 4.48962856626375 & 0.166543308152705 \tabularnewline
0.79 & 4.52412836099399 & 0.152829091622623 \tabularnewline
0.8 & 4.55631584408728 & 0.138931005120988 \tabularnewline
0.81 & 4.58625095926317 & 0.125837160923907 \tabularnewline
0.82 & 4.61414258223674 & 0.114272200754462 \tabularnewline
0.83 & 4.6402915482432 & 0.104576767745086 \tabularnewline
0.84 & 4.66503398047887 & 0.0966923252978226 \tabularnewline
0.85 & 4.68870919461484 & 0.0902868937197684 \tabularnewline
0.86 & 4.71167559873162 & 0.0850004832130282 \tabularnewline
0.87 & 4.73438677774323 & 0.0807922707672648 \tabularnewline
0.88 & 4.75751388401302 & 0.0782560345474352 \tabularnewline
0.89 & 4.78205917844511 & 0.0787776559741659 \tabularnewline
0.9 & 4.80936025902071 & 0.0840735009079062 \tabularnewline
0.91 & 4.8408654910363 & 0.0947946646034529 \tabularnewline
0.92 & 4.8776166340162 & 0.108959470141607 \tabularnewline
0.93 & 4.91954746266031 & 0.12163772579771 \tabularnewline
0.94 & 4.96498006085555 & 0.126313070302641 \tabularnewline
0.95 & 5.01091843518512 & 0.11788436371618 \tabularnewline
0.96 & 5.05455070177775 & 0.0966918217686382 \tabularnewline
0.97 & 5.09531862511055 & 0.0719906237375492 \tabularnewline
0.98 & 5.13504978219191 & 0.0626932907514277 \tabularnewline
0.99 & 5.1731620412447 & 0.0783663454433584 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238432&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]2.75234803509513[/C][C]0.154090997574493[/C][/ROW]
[ROW][C]0.02[/C][C]2.82128160159159[/C][C]0.104523554361075[/C][/ROW]
[ROW][C]0.03[/C][C]2.88045519517819[/C][C]0.0727128670561941[/C][/ROW]
[ROW][C]0.04[/C][C]2.92325943253444[/C][C]0.0577675786165956[/C][/ROW]
[ROW][C]0.05[/C][C]2.95328023507488[/C][C]0.0486953195876461[/C][/ROW]
[ROW][C]0.06[/C][C]2.97521556976006[/C][C]0.0413321582911781[/C][/ROW]
[ROW][C]0.07[/C][C]2.99233338497905[/C][C]0.0371186120362158[/C][/ROW]
[ROW][C]0.08[/C][C]3.00678777550698[/C][C]0.0372562705467555[/C][/ROW]
[ROW][C]0.09[/C][C]3.02006435417307[/C][C]0.0403841340947297[/C][/ROW]
[ROW][C]0.1[/C][C]3.033085060533[/C][C]0.0441550294715511[/C][/ROW]
[ROW][C]0.11[/C][C]3.04625118607545[/C][C]0.0469862583242683[/C][/ROW]
[ROW][C]0.12[/C][C]3.059591826237[/C][C]0.0484487532481944[/C][/ROW]
[ROW][C]0.13[/C][C]3.07298296165413[/C][C]0.049035440045696[/C][/ROW]
[ROW][C]0.14[/C][C]3.08633785695671[/C][C]0.0497362401584375[/C][/ROW]
[ROW][C]0.15[/C][C]3.09970360632367[/C][C]0.0514993873283724[/C][/ROW]
[ROW][C]0.16[/C][C]3.11325684997713[/C][C]0.054766770901277[/C][/ROW]
[ROW][C]0.17[/C][C]3.12723261732115[/C][C]0.0593301629756138[/C][/ROW]
[ROW][C]0.18[/C][C]3.14183368235899[/C][C]0.0645315306928164[/C][/ROW]
[ROW][C]0.19[/C][C]3.15715974091597[/C][C]0.069571349200676[/C][/ROW]
[ROW][C]0.2[/C][C]3.17317726082169[/C][C]0.0737592684768276[/C][/ROW]
[ROW][C]0.21[/C][C]3.18973195172365[/C][C]0.0766467977775251[/C][/ROW]
[ROW][C]0.22[/C][C]3.20659245419946[/C][C]0.0780894582621343[/C][/ROW]
[ROW][C]0.23[/C][C]3.22350791560078[/C][C]0.0782268802278603[/C][/ROW]
[ROW][C]0.24[/C][C]3.24026255277007[/C][C]0.0774377384882839[/C][/ROW]
[ROW][C]0.25[/C][C]3.25671476055444[/C][C]0.0762375655592908[/C][/ROW]
[ROW][C]0.26[/C][C]3.27281443279346[/C][C]0.075165145272232[/C][/ROW]
[ROW][C]0.27[/C][C]3.28859812707766[/C][C]0.0746717999395419[/C][/ROW]
[ROW][C]0.28[/C][C]3.30416643097431[/C][C]0.0750174650301097[/C][/ROW]
[ROW][C]0.29[/C][C]3.31965084063277[/C][C]0.0762124247291309[/C][/ROW]
[ROW][C]0.3[/C][C]3.33517850033071[/C][C]0.078061387091594[/C][/ROW]
[ROW][C]0.31[/C][C]3.35084242036373[/C][C]0.0802036174935866[/C][/ROW]
[ROW][C]0.32[/C][C]3.36668267624149[/C][C]0.0822341144589247[/C][/ROW]
[ROW][C]0.33[/C][C]3.38268116756713[/C][C]0.0838016403648619[/C][/ROW]
[ROW][C]0.34[/C][C]3.39876944999297[/C][C]0.0846587446219848[/C][/ROW]
[ROW][C]0.35[/C][C]3.41484658521097[/C][C]0.0847045570361855[/C][/ROW]
[ROW][C]0.36[/C][C]3.43080235283471[/C][C]0.0839920884393753[/C][/ROW]
[ROW][C]0.37[/C][C]3.44654074486989[/C][C]0.0827128735886809[/C][/ROW]
[ROW][C]0.38[/C][C]3.46199934327355[/C][C]0.0811521272101828[/C][/ROW]
[ROW][C]0.39[/C][C]3.47716165092729[/C][C]0.0796380851454177[/C][/ROW]
[ROW][C]0.4[/C][C]3.49206125769325[/C][C]0.0784871240187537[/C][/ROW]
[ROW][C]0.41[/C][C]3.50677841758908[/C][C]0.0779674955504422[/C][/ROW]
[ROW][C]0.42[/C][C]3.52143083641304[/C][C]0.0782553052600106[/C][/ROW]
[ROW][C]0.43[/C][C]3.53616104641757[/C][C]0.0794331873980881[/C][/ROW]
[ROW][C]0.44[/C][C]3.55112269854387[/C][C]0.0814949187638908[/C][/ROW]
[ROW][C]0.45[/C][C]3.56646761478744[/C][C]0.0843749925581719[/C][/ROW]
[ROW][C]0.46[/C][C]3.58233477283982[/C][C]0.0879502298367664[/C][/ROW]
[ROW][C]0.47[/C][C]3.59884178431869[/C][C]0.0920722172529593[/C][/ROW]
[ROW][C]0.48[/C][C]3.6160790243413[/C][C]0.0965668852163962[/C][/ROW]
[ROW][C]0.49[/C][C]3.6341063940461[/C][C]0.101242770856937[/C][/ROW]
[ROW][C]0.5[/C][C]3.65295266154899[/C][C]0.105914133820094[/C][/ROW]
[ROW][C]0.51[/C][C]3.67261729771919[/C][C]0.110412016491185[/C][/ROW]
[ROW][C]0.52[/C][C]3.69307459800382[/C][C]0.114586018822052[/C][/ROW]
[ROW][C]0.53[/C][C]3.71427964303636[/C][C]0.118354663701504[/C][/ROW]
[ROW][C]0.54[/C][C]3.73617537883307[/C][C]0.121673276656617[/C][/ROW]
[ROW][C]0.55[/C][C]3.75869993078488[/C][C]0.124551921192909[/C][/ROW]
[ROW][C]0.56[/C][C]3.7817933307515[/C][C]0.127040986843162[/C][/ROW]
[ROW][C]0.57[/C][C]3.80540317479282[/C][C]0.129211530004278[/C][/ROW]
[ROW][C]0.58[/C][C]3.82948925651364[/C][C]0.131137583137345[/C][/ROW]
[ROW][C]0.59[/C][C]3.8540277408358[/C][C]0.13289939265038[/C][/ROW]
[ROW][C]0.6[/C][C]3.87901571034454[/C][C]0.134588394049202[/C][/ROW]
[ROW][C]0.61[/C][C]3.90447673356841[/C][C]0.136323577684227[/C][/ROW]
[ROW][C]0.62[/C][C]3.93046741254668[/C][C]0.138264920300693[/C][/ROW]
[ROW][C]0.63[/C][C]3.95708379751552[/C][C]0.140636218931643[/C][/ROW]
[ROW][C]0.64[/C][C]3.9844654226406[/C][C]0.143700748052718[/C][/ROW]
[ROW][C]0.65[/C][C]4.0127939387346[/C][C]0.147727732455981[/C][/ROW]
[ROW][C]0.66[/C][C]4.042283302215[/C][C]0.152937083735416[/C][/ROW]
[ROW][C]0.67[/C][C]4.07315947765965[/C][C]0.159389826189556[/C][/ROW]
[ROW][C]0.68[/C][C]4.10562961401592[/C][C]0.166938186296258[/C][/ROW]
[ROW][C]0.69[/C][C]4.13984333882139[/C][C]0.175174476041983[/C][/ROW]
[ROW][C]0.7[/C][C]4.1758515823537[/C][C]0.183443795660688[/C][/ROW]
[ROW][C]0.71[/C][C]4.21357044646879[/C][C]0.190905609110348[/C][/ROW]
[ROW][C]0.72[/C][C]4.25275836258127[/C][C]0.196651376666555[/C][/ROW]
[ROW][C]0.73[/C][C]4.29301367594365[/C][C]0.199833600126461[/C][/ROW]
[ROW][C]0.74[/C][C]4.33379679302907[/C][C]0.199806954625826[/C][/ROW]
[ROW][C]0.75[/C][C]4.37447655851793[/C][C]0.196223449387779[/C][/ROW]
[ROW][C]0.76[/C][C]4.4143954435601[/C][C]0.189139583840046[/C][/ROW]
[ROW][C]0.77[/C][C]4.45294355447181[/C][C]0.178983780100037[/C][/ROW]
[ROW][C]0.78[/C][C]4.48962856626375[/C][C]0.166543308152705[/C][/ROW]
[ROW][C]0.79[/C][C]4.52412836099399[/C][C]0.152829091622623[/C][/ROW]
[ROW][C]0.8[/C][C]4.55631584408728[/C][C]0.138931005120988[/C][/ROW]
[ROW][C]0.81[/C][C]4.58625095926317[/C][C]0.125837160923907[/C][/ROW]
[ROW][C]0.82[/C][C]4.61414258223674[/C][C]0.114272200754462[/C][/ROW]
[ROW][C]0.83[/C][C]4.6402915482432[/C][C]0.104576767745086[/C][/ROW]
[ROW][C]0.84[/C][C]4.66503398047887[/C][C]0.0966923252978226[/C][/ROW]
[ROW][C]0.85[/C][C]4.68870919461484[/C][C]0.0902868937197684[/C][/ROW]
[ROW][C]0.86[/C][C]4.71167559873162[/C][C]0.0850004832130282[/C][/ROW]
[ROW][C]0.87[/C][C]4.73438677774323[/C][C]0.0807922707672648[/C][/ROW]
[ROW][C]0.88[/C][C]4.75751388401302[/C][C]0.0782560345474352[/C][/ROW]
[ROW][C]0.89[/C][C]4.78205917844511[/C][C]0.0787776559741659[/C][/ROW]
[ROW][C]0.9[/C][C]4.80936025902071[/C][C]0.0840735009079062[/C][/ROW]
[ROW][C]0.91[/C][C]4.8408654910363[/C][C]0.0947946646034529[/C][/ROW]
[ROW][C]0.92[/C][C]4.8776166340162[/C][C]0.108959470141607[/C][/ROW]
[ROW][C]0.93[/C][C]4.91954746266031[/C][C]0.12163772579771[/C][/ROW]
[ROW][C]0.94[/C][C]4.96498006085555[/C][C]0.126313070302641[/C][/ROW]
[ROW][C]0.95[/C][C]5.01091843518512[/C][C]0.11788436371618[/C][/ROW]
[ROW][C]0.96[/C][C]5.05455070177775[/C][C]0.0966918217686382[/C][/ROW]
[ROW][C]0.97[/C][C]5.09531862511055[/C][C]0.0719906237375492[/C][/ROW]
[ROW][C]0.98[/C][C]5.13504978219191[/C][C]0.0626932907514277[/C][/ROW]
[ROW][C]0.99[/C][C]5.1731620412447[/C][C]0.0783663454433584[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238432&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238432&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
0.012.752348035095130.154090997574493
0.022.821281601591590.104523554361075
0.032.880455195178190.0727128670561941
0.042.923259432534440.0577675786165956
0.052.953280235074880.0486953195876461
0.062.975215569760060.0413321582911781
0.072.992333384979050.0371186120362158
0.083.006787775506980.0372562705467555
0.093.020064354173070.0403841340947297
0.13.0330850605330.0441550294715511
0.113.046251186075450.0469862583242683
0.123.0595918262370.0484487532481944
0.133.072982961654130.049035440045696
0.143.086337856956710.0497362401584375
0.153.099703606323670.0514993873283724
0.163.113256849977130.054766770901277
0.173.127232617321150.0593301629756138
0.183.141833682358990.0645315306928164
0.193.157159740915970.069571349200676
0.23.173177260821690.0737592684768276
0.213.189731951723650.0766467977775251
0.223.206592454199460.0780894582621343
0.233.223507915600780.0782268802278603
0.243.240262552770070.0774377384882839
0.253.256714760554440.0762375655592908
0.263.272814432793460.075165145272232
0.273.288598127077660.0746717999395419
0.283.304166430974310.0750174650301097
0.293.319650840632770.0762124247291309
0.33.335178500330710.078061387091594
0.313.350842420363730.0802036174935866
0.323.366682676241490.0822341144589247
0.333.382681167567130.0838016403648619
0.343.398769449992970.0846587446219848
0.353.414846585210970.0847045570361855
0.363.430802352834710.0839920884393753
0.373.446540744869890.0827128735886809
0.383.461999343273550.0811521272101828
0.393.477161650927290.0796380851454177
0.43.492061257693250.0784871240187537
0.413.506778417589080.0779674955504422
0.423.521430836413040.0782553052600106
0.433.536161046417570.0794331873980881
0.443.551122698543870.0814949187638908
0.453.566467614787440.0843749925581719
0.463.582334772839820.0879502298367664
0.473.598841784318690.0920722172529593
0.483.61607902434130.0965668852163962
0.493.63410639404610.101242770856937
0.53.652952661548990.105914133820094
0.513.672617297719190.110412016491185
0.523.693074598003820.114586018822052
0.533.714279643036360.118354663701504
0.543.736175378833070.121673276656617
0.553.758699930784880.124551921192909
0.563.78179333075150.127040986843162
0.573.805403174792820.129211530004278
0.583.829489256513640.131137583137345
0.593.85402774083580.13289939265038
0.63.879015710344540.134588394049202
0.613.904476733568410.136323577684227
0.623.930467412546680.138264920300693
0.633.957083797515520.140636218931643
0.643.98446542264060.143700748052718
0.654.01279393873460.147727732455981
0.664.0422833022150.152937083735416
0.674.073159477659650.159389826189556
0.684.105629614015920.166938186296258
0.694.139843338821390.175174476041983
0.74.17585158235370.183443795660688
0.714.213570446468790.190905609110348
0.724.252758362581270.196651376666555
0.734.293013675943650.199833600126461
0.744.333796793029070.199806954625826
0.754.374476558517930.196223449387779
0.764.41439544356010.189139583840046
0.774.452943554471810.178983780100037
0.784.489628566263750.166543308152705
0.794.524128360993990.152829091622623
0.84.556315844087280.138931005120988
0.814.586250959263170.125837160923907
0.824.614142582236740.114272200754462
0.834.64029154824320.104576767745086
0.844.665033980478870.0966923252978226
0.854.688709194614840.0902868937197684
0.864.711675598731620.0850004832130282
0.874.734386777743230.0807922707672648
0.884.757513884013020.0782560345474352
0.894.782059178445110.0787776559741659
0.94.809360259020710.0840735009079062
0.914.84086549103630.0947946646034529
0.924.87761663401620.108959470141607
0.934.919547462660310.12163772579771
0.944.964980060855550.126313070302641
0.955.010918435185120.11788436371618
0.965.054550701777750.0966918217686382
0.975.095318625110550.0719906237375492
0.985.135049782191910.0626932907514277
0.995.17316204124470.0783663454433584



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')