Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 16 Mar 2009 01:44:19 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/16/t1237189613iu8gv0eeejv8p03.htm/, Retrieved Fri, 29 Mar 2024 00:42:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39110, Retrieved Fri, 29 Mar 2024 00:42:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact215
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis Perc...] [2009-03-16 07:44:19] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
30.06
30.46
30.46
30.49
30.49
30.5
30.5
30.5
30.51
30.51
30.61
30.88
30.95
31.09
31.28
31.31
31.32
31.34
31.34
31.34
31.34
31.36
31.36
31.36
31.72
32.07
32.13
32.19
32.26
32.27
32.28
32.28
32.28
32.29
32.61
32.68
32.69
32.74
32.86
32.86
32.9
32.95
32.95
32.96
32.99
33
33.06
33.42
33.48
33.5
33.51
33.52
33.55
33.56
33.56
33.56
33.6
33.61
33.62
33.72
33.83
33.96
34.06
34.11
34.11
34.21
34.19
34.17
34.12
34.15
34.15
34.15




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 13 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39110&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]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39110&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 time13 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0130.16036081919060.299441050775798
0.0230.28547729770860.182041604993006
0.0330.38153309398520.094443300765938
0.0430.43829057957790.0466522213791608
0.0530.46793429174040.0269961337721662
0.0630.48414950858100.0229455020404251
0.0730.49571896456140.02856730674017
0.0830.50755471952490.042538378692789
0.0930.52273712213490.0647093025513909
0.130.54359401133860.0944961980327763
0.1130.57193928494470.13028294615983
0.1230.60893480883290.169181366712976
0.1330.65489174595620.207411766049040
0.1430.70917097701860.241056617879569
0.1530.77024241607590.266726591387486
0.1630.83589735006720.282031440839586
0.1730.90356531737480.286206106678572
0.1830.97066764552200.279791326002059
0.1931.0349423140180.264636647956287
0.231.0946926065330.243398809890857
0.2131.14893566013590.219313779228835
0.2231.19744841768420.195751654593546
0.2331.24072320915370.175968603769805
0.2431.2798525610880.163005554040029
0.2531.31636466456590.159252551265280
0.2631.35202987520840.165834157324784
0.2731.38865692636910.182192161743209
0.2831.42789640635660.206416924218811
0.2931.47106851334840.235803953687205
0.331.51903130850980.267388522126787
0.3131.57210344240020.298033899005015
0.3231.6300507008690.32504510978953
0.3331.69213854091190.345955656805846
0.3431.75724388798440.359197569041024
0.3531.82401050293170.364116910426288
0.3631.89102521749390.360946575513256
0.3731.95698903245020.350926622782466
0.3832.02085840082830.335856543917404
0.3932.08193779984010.318116441295627
0.432.13991369801720.299942086197432
0.4132.19483032500560.283501855798887
0.4232.2470171544470.270228293041510
0.4332.29698495602650.26095458154171
0.4432.34531060078500.255547319163046
0.4532.39253029767840.253094859913658
0.4632.43905715748380.252514007920283
0.4732.48513302836730.252405821182354
0.4832.53081777324760.251568735001823
0.4932.5760128457510.249156742261956
0.532.6205111456520.244752986512383
0.5132.66406222799860.238320437246382
0.5232.70644107122940.230290109776477
0.5332.7475094744950.221428390433137
0.5432.78726124008670.21272773057925
0.5532.82584506415440.205169909194177
0.5632.86356208659060.199814685450340
0.5732.90083809727420.197517201133465
0.5832.93817336315830.198572878486617
0.5932.97607586685390.202925606203869
0.633.0149862791380.209890930343862
0.6133.05520490246870.218356007060859
0.6233.09683165019180.226886853501298
0.6333.13972938445460.233931182562942
0.6433.18351833979420.238043023281844
0.6533.22760502389370.238129865095678
0.6633.27124352927030.233480544110125
0.6733.31362166118050.223986676245024
0.6833.35395992641360.210093601594391
0.6933.3916092982620.192730970236605
0.733.42613430699860.173280911337372
0.7133.45737118951150.153268210965925
0.7233.48545563107460.134354892247113
0.7333.51081966349230.118059612724014
0.7433.5341611630580.105872761029186
0.7533.55639120800220.0988641350757436
0.7633.5785642094180.097720852474524
0.7733.60179401430330.102486688446617
0.7833.62715754712200.112419682695078
0.7933.65558761785340.126322966642019
0.833.68775939185610.142498865531727
0.8133.72398067508380.159005355854536
0.8233.76410309782780.173662874230516
0.8333.80747655664540.184305339009790
0.8433.85296930633110.189065884632234
0.8533.89906799840430.186684047859919
0.8633.94405528237970.176821775405861
0.8733.98624069088780.160234452193289
0.8834.02420073862710.138609394046207
0.8934.05697568276070.114346570657422
0.934.08417991351050.0900008330924437
0.9134.10600940481850.0678311685867485
0.9234.12316158301460.0493863159547248
0.9334.1367026004580.0355314484441884
0.9434.14791228293020.0264636140801887
0.9534.15811398999870.0219193167079445
0.9634.16847384452020.0207196112877103
0.9734.17972851223460.0207809101387224
0.9834.1917476992020.020427842161771
0.9934.20290534250930.0197459185321862

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 30.1603608191906 & 0.299441050775798 \tabularnewline
0.02 & 30.2854772977086 & 0.182041604993006 \tabularnewline
0.03 & 30.3815330939852 & 0.094443300765938 \tabularnewline
0.04 & 30.4382905795779 & 0.0466522213791608 \tabularnewline
0.05 & 30.4679342917404 & 0.0269961337721662 \tabularnewline
0.06 & 30.4841495085810 & 0.0229455020404251 \tabularnewline
0.07 & 30.4957189645614 & 0.02856730674017 \tabularnewline
0.08 & 30.5075547195249 & 0.042538378692789 \tabularnewline
0.09 & 30.5227371221349 & 0.0647093025513909 \tabularnewline
0.1 & 30.5435940113386 & 0.0944961980327763 \tabularnewline
0.11 & 30.5719392849447 & 0.13028294615983 \tabularnewline
0.12 & 30.6089348088329 & 0.169181366712976 \tabularnewline
0.13 & 30.6548917459562 & 0.207411766049040 \tabularnewline
0.14 & 30.7091709770186 & 0.241056617879569 \tabularnewline
0.15 & 30.7702424160759 & 0.266726591387486 \tabularnewline
0.16 & 30.8358973500672 & 0.282031440839586 \tabularnewline
0.17 & 30.9035653173748 & 0.286206106678572 \tabularnewline
0.18 & 30.9706676455220 & 0.279791326002059 \tabularnewline
0.19 & 31.034942314018 & 0.264636647956287 \tabularnewline
0.2 & 31.094692606533 & 0.243398809890857 \tabularnewline
0.21 & 31.1489356601359 & 0.219313779228835 \tabularnewline
0.22 & 31.1974484176842 & 0.195751654593546 \tabularnewline
0.23 & 31.2407232091537 & 0.175968603769805 \tabularnewline
0.24 & 31.279852561088 & 0.163005554040029 \tabularnewline
0.25 & 31.3163646645659 & 0.159252551265280 \tabularnewline
0.26 & 31.3520298752084 & 0.165834157324784 \tabularnewline
0.27 & 31.3886569263691 & 0.182192161743209 \tabularnewline
0.28 & 31.4278964063566 & 0.206416924218811 \tabularnewline
0.29 & 31.4710685133484 & 0.235803953687205 \tabularnewline
0.3 & 31.5190313085098 & 0.267388522126787 \tabularnewline
0.31 & 31.5721034424002 & 0.298033899005015 \tabularnewline
0.32 & 31.630050700869 & 0.32504510978953 \tabularnewline
0.33 & 31.6921385409119 & 0.345955656805846 \tabularnewline
0.34 & 31.7572438879844 & 0.359197569041024 \tabularnewline
0.35 & 31.8240105029317 & 0.364116910426288 \tabularnewline
0.36 & 31.8910252174939 & 0.360946575513256 \tabularnewline
0.37 & 31.9569890324502 & 0.350926622782466 \tabularnewline
0.38 & 32.0208584008283 & 0.335856543917404 \tabularnewline
0.39 & 32.0819377998401 & 0.318116441295627 \tabularnewline
0.4 & 32.1399136980172 & 0.299942086197432 \tabularnewline
0.41 & 32.1948303250056 & 0.283501855798887 \tabularnewline
0.42 & 32.247017154447 & 0.270228293041510 \tabularnewline
0.43 & 32.2969849560265 & 0.26095458154171 \tabularnewline
0.44 & 32.3453106007850 & 0.255547319163046 \tabularnewline
0.45 & 32.3925302976784 & 0.253094859913658 \tabularnewline
0.46 & 32.4390571574838 & 0.252514007920283 \tabularnewline
0.47 & 32.4851330283673 & 0.252405821182354 \tabularnewline
0.48 & 32.5308177732476 & 0.251568735001823 \tabularnewline
0.49 & 32.576012845751 & 0.249156742261956 \tabularnewline
0.5 & 32.620511145652 & 0.244752986512383 \tabularnewline
0.51 & 32.6640622279986 & 0.238320437246382 \tabularnewline
0.52 & 32.7064410712294 & 0.230290109776477 \tabularnewline
0.53 & 32.747509474495 & 0.221428390433137 \tabularnewline
0.54 & 32.7872612400867 & 0.21272773057925 \tabularnewline
0.55 & 32.8258450641544 & 0.205169909194177 \tabularnewline
0.56 & 32.8635620865906 & 0.199814685450340 \tabularnewline
0.57 & 32.9008380972742 & 0.197517201133465 \tabularnewline
0.58 & 32.9381733631583 & 0.198572878486617 \tabularnewline
0.59 & 32.9760758668539 & 0.202925606203869 \tabularnewline
0.6 & 33.014986279138 & 0.209890930343862 \tabularnewline
0.61 & 33.0552049024687 & 0.218356007060859 \tabularnewline
0.62 & 33.0968316501918 & 0.226886853501298 \tabularnewline
0.63 & 33.1397293844546 & 0.233931182562942 \tabularnewline
0.64 & 33.1835183397942 & 0.238043023281844 \tabularnewline
0.65 & 33.2276050238937 & 0.238129865095678 \tabularnewline
0.66 & 33.2712435292703 & 0.233480544110125 \tabularnewline
0.67 & 33.3136216611805 & 0.223986676245024 \tabularnewline
0.68 & 33.3539599264136 & 0.210093601594391 \tabularnewline
0.69 & 33.391609298262 & 0.192730970236605 \tabularnewline
0.7 & 33.4261343069986 & 0.173280911337372 \tabularnewline
0.71 & 33.4573711895115 & 0.153268210965925 \tabularnewline
0.72 & 33.4854556310746 & 0.134354892247113 \tabularnewline
0.73 & 33.5108196634923 & 0.118059612724014 \tabularnewline
0.74 & 33.534161163058 & 0.105872761029186 \tabularnewline
0.75 & 33.5563912080022 & 0.0988641350757436 \tabularnewline
0.76 & 33.578564209418 & 0.097720852474524 \tabularnewline
0.77 & 33.6017940143033 & 0.102486688446617 \tabularnewline
0.78 & 33.6271575471220 & 0.112419682695078 \tabularnewline
0.79 & 33.6555876178534 & 0.126322966642019 \tabularnewline
0.8 & 33.6877593918561 & 0.142498865531727 \tabularnewline
0.81 & 33.7239806750838 & 0.159005355854536 \tabularnewline
0.82 & 33.7641030978278 & 0.173662874230516 \tabularnewline
0.83 & 33.8074765566454 & 0.184305339009790 \tabularnewline
0.84 & 33.8529693063311 & 0.189065884632234 \tabularnewline
0.85 & 33.8990679984043 & 0.186684047859919 \tabularnewline
0.86 & 33.9440552823797 & 0.176821775405861 \tabularnewline
0.87 & 33.9862406908878 & 0.160234452193289 \tabularnewline
0.88 & 34.0242007386271 & 0.138609394046207 \tabularnewline
0.89 & 34.0569756827607 & 0.114346570657422 \tabularnewline
0.9 & 34.0841799135105 & 0.0900008330924437 \tabularnewline
0.91 & 34.1060094048185 & 0.0678311685867485 \tabularnewline
0.92 & 34.1231615830146 & 0.0493863159547248 \tabularnewline
0.93 & 34.136702600458 & 0.0355314484441884 \tabularnewline
0.94 & 34.1479122829302 & 0.0264636140801887 \tabularnewline
0.95 & 34.1581139899987 & 0.0219193167079445 \tabularnewline
0.96 & 34.1684738445202 & 0.0207196112877103 \tabularnewline
0.97 & 34.1797285122346 & 0.0207809101387224 \tabularnewline
0.98 & 34.191747699202 & 0.020427842161771 \tabularnewline
0.99 & 34.2029053425093 & 0.0197459185321862 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39110&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]30.1603608191906[/C][C]0.299441050775798[/C][/ROW]
[ROW][C]0.02[/C][C]30.2854772977086[/C][C]0.182041604993006[/C][/ROW]
[ROW][C]0.03[/C][C]30.3815330939852[/C][C]0.094443300765938[/C][/ROW]
[ROW][C]0.04[/C][C]30.4382905795779[/C][C]0.0466522213791608[/C][/ROW]
[ROW][C]0.05[/C][C]30.4679342917404[/C][C]0.0269961337721662[/C][/ROW]
[ROW][C]0.06[/C][C]30.4841495085810[/C][C]0.0229455020404251[/C][/ROW]
[ROW][C]0.07[/C][C]30.4957189645614[/C][C]0.02856730674017[/C][/ROW]
[ROW][C]0.08[/C][C]30.5075547195249[/C][C]0.042538378692789[/C][/ROW]
[ROW][C]0.09[/C][C]30.5227371221349[/C][C]0.0647093025513909[/C][/ROW]
[ROW][C]0.1[/C][C]30.5435940113386[/C][C]0.0944961980327763[/C][/ROW]
[ROW][C]0.11[/C][C]30.5719392849447[/C][C]0.13028294615983[/C][/ROW]
[ROW][C]0.12[/C][C]30.6089348088329[/C][C]0.169181366712976[/C][/ROW]
[ROW][C]0.13[/C][C]30.6548917459562[/C][C]0.207411766049040[/C][/ROW]
[ROW][C]0.14[/C][C]30.7091709770186[/C][C]0.241056617879569[/C][/ROW]
[ROW][C]0.15[/C][C]30.7702424160759[/C][C]0.266726591387486[/C][/ROW]
[ROW][C]0.16[/C][C]30.8358973500672[/C][C]0.282031440839586[/C][/ROW]
[ROW][C]0.17[/C][C]30.9035653173748[/C][C]0.286206106678572[/C][/ROW]
[ROW][C]0.18[/C][C]30.9706676455220[/C][C]0.279791326002059[/C][/ROW]
[ROW][C]0.19[/C][C]31.034942314018[/C][C]0.264636647956287[/C][/ROW]
[ROW][C]0.2[/C][C]31.094692606533[/C][C]0.243398809890857[/C][/ROW]
[ROW][C]0.21[/C][C]31.1489356601359[/C][C]0.219313779228835[/C][/ROW]
[ROW][C]0.22[/C][C]31.1974484176842[/C][C]0.195751654593546[/C][/ROW]
[ROW][C]0.23[/C][C]31.2407232091537[/C][C]0.175968603769805[/C][/ROW]
[ROW][C]0.24[/C][C]31.279852561088[/C][C]0.163005554040029[/C][/ROW]
[ROW][C]0.25[/C][C]31.3163646645659[/C][C]0.159252551265280[/C][/ROW]
[ROW][C]0.26[/C][C]31.3520298752084[/C][C]0.165834157324784[/C][/ROW]
[ROW][C]0.27[/C][C]31.3886569263691[/C][C]0.182192161743209[/C][/ROW]
[ROW][C]0.28[/C][C]31.4278964063566[/C][C]0.206416924218811[/C][/ROW]
[ROW][C]0.29[/C][C]31.4710685133484[/C][C]0.235803953687205[/C][/ROW]
[ROW][C]0.3[/C][C]31.5190313085098[/C][C]0.267388522126787[/C][/ROW]
[ROW][C]0.31[/C][C]31.5721034424002[/C][C]0.298033899005015[/C][/ROW]
[ROW][C]0.32[/C][C]31.630050700869[/C][C]0.32504510978953[/C][/ROW]
[ROW][C]0.33[/C][C]31.6921385409119[/C][C]0.345955656805846[/C][/ROW]
[ROW][C]0.34[/C][C]31.7572438879844[/C][C]0.359197569041024[/C][/ROW]
[ROW][C]0.35[/C][C]31.8240105029317[/C][C]0.364116910426288[/C][/ROW]
[ROW][C]0.36[/C][C]31.8910252174939[/C][C]0.360946575513256[/C][/ROW]
[ROW][C]0.37[/C][C]31.9569890324502[/C][C]0.350926622782466[/C][/ROW]
[ROW][C]0.38[/C][C]32.0208584008283[/C][C]0.335856543917404[/C][/ROW]
[ROW][C]0.39[/C][C]32.0819377998401[/C][C]0.318116441295627[/C][/ROW]
[ROW][C]0.4[/C][C]32.1399136980172[/C][C]0.299942086197432[/C][/ROW]
[ROW][C]0.41[/C][C]32.1948303250056[/C][C]0.283501855798887[/C][/ROW]
[ROW][C]0.42[/C][C]32.247017154447[/C][C]0.270228293041510[/C][/ROW]
[ROW][C]0.43[/C][C]32.2969849560265[/C][C]0.26095458154171[/C][/ROW]
[ROW][C]0.44[/C][C]32.3453106007850[/C][C]0.255547319163046[/C][/ROW]
[ROW][C]0.45[/C][C]32.3925302976784[/C][C]0.253094859913658[/C][/ROW]
[ROW][C]0.46[/C][C]32.4390571574838[/C][C]0.252514007920283[/C][/ROW]
[ROW][C]0.47[/C][C]32.4851330283673[/C][C]0.252405821182354[/C][/ROW]
[ROW][C]0.48[/C][C]32.5308177732476[/C][C]0.251568735001823[/C][/ROW]
[ROW][C]0.49[/C][C]32.576012845751[/C][C]0.249156742261956[/C][/ROW]
[ROW][C]0.5[/C][C]32.620511145652[/C][C]0.244752986512383[/C][/ROW]
[ROW][C]0.51[/C][C]32.6640622279986[/C][C]0.238320437246382[/C][/ROW]
[ROW][C]0.52[/C][C]32.7064410712294[/C][C]0.230290109776477[/C][/ROW]
[ROW][C]0.53[/C][C]32.747509474495[/C][C]0.221428390433137[/C][/ROW]
[ROW][C]0.54[/C][C]32.7872612400867[/C][C]0.21272773057925[/C][/ROW]
[ROW][C]0.55[/C][C]32.8258450641544[/C][C]0.205169909194177[/C][/ROW]
[ROW][C]0.56[/C][C]32.8635620865906[/C][C]0.199814685450340[/C][/ROW]
[ROW][C]0.57[/C][C]32.9008380972742[/C][C]0.197517201133465[/C][/ROW]
[ROW][C]0.58[/C][C]32.9381733631583[/C][C]0.198572878486617[/C][/ROW]
[ROW][C]0.59[/C][C]32.9760758668539[/C][C]0.202925606203869[/C][/ROW]
[ROW][C]0.6[/C][C]33.014986279138[/C][C]0.209890930343862[/C][/ROW]
[ROW][C]0.61[/C][C]33.0552049024687[/C][C]0.218356007060859[/C][/ROW]
[ROW][C]0.62[/C][C]33.0968316501918[/C][C]0.226886853501298[/C][/ROW]
[ROW][C]0.63[/C][C]33.1397293844546[/C][C]0.233931182562942[/C][/ROW]
[ROW][C]0.64[/C][C]33.1835183397942[/C][C]0.238043023281844[/C][/ROW]
[ROW][C]0.65[/C][C]33.2276050238937[/C][C]0.238129865095678[/C][/ROW]
[ROW][C]0.66[/C][C]33.2712435292703[/C][C]0.233480544110125[/C][/ROW]
[ROW][C]0.67[/C][C]33.3136216611805[/C][C]0.223986676245024[/C][/ROW]
[ROW][C]0.68[/C][C]33.3539599264136[/C][C]0.210093601594391[/C][/ROW]
[ROW][C]0.69[/C][C]33.391609298262[/C][C]0.192730970236605[/C][/ROW]
[ROW][C]0.7[/C][C]33.4261343069986[/C][C]0.173280911337372[/C][/ROW]
[ROW][C]0.71[/C][C]33.4573711895115[/C][C]0.153268210965925[/C][/ROW]
[ROW][C]0.72[/C][C]33.4854556310746[/C][C]0.134354892247113[/C][/ROW]
[ROW][C]0.73[/C][C]33.5108196634923[/C][C]0.118059612724014[/C][/ROW]
[ROW][C]0.74[/C][C]33.534161163058[/C][C]0.105872761029186[/C][/ROW]
[ROW][C]0.75[/C][C]33.5563912080022[/C][C]0.0988641350757436[/C][/ROW]
[ROW][C]0.76[/C][C]33.578564209418[/C][C]0.097720852474524[/C][/ROW]
[ROW][C]0.77[/C][C]33.6017940143033[/C][C]0.102486688446617[/C][/ROW]
[ROW][C]0.78[/C][C]33.6271575471220[/C][C]0.112419682695078[/C][/ROW]
[ROW][C]0.79[/C][C]33.6555876178534[/C][C]0.126322966642019[/C][/ROW]
[ROW][C]0.8[/C][C]33.6877593918561[/C][C]0.142498865531727[/C][/ROW]
[ROW][C]0.81[/C][C]33.7239806750838[/C][C]0.159005355854536[/C][/ROW]
[ROW][C]0.82[/C][C]33.7641030978278[/C][C]0.173662874230516[/C][/ROW]
[ROW][C]0.83[/C][C]33.8074765566454[/C][C]0.184305339009790[/C][/ROW]
[ROW][C]0.84[/C][C]33.8529693063311[/C][C]0.189065884632234[/C][/ROW]
[ROW][C]0.85[/C][C]33.8990679984043[/C][C]0.186684047859919[/C][/ROW]
[ROW][C]0.86[/C][C]33.9440552823797[/C][C]0.176821775405861[/C][/ROW]
[ROW][C]0.87[/C][C]33.9862406908878[/C][C]0.160234452193289[/C][/ROW]
[ROW][C]0.88[/C][C]34.0242007386271[/C][C]0.138609394046207[/C][/ROW]
[ROW][C]0.89[/C][C]34.0569756827607[/C][C]0.114346570657422[/C][/ROW]
[ROW][C]0.9[/C][C]34.0841799135105[/C][C]0.0900008330924437[/C][/ROW]
[ROW][C]0.91[/C][C]34.1060094048185[/C][C]0.0678311685867485[/C][/ROW]
[ROW][C]0.92[/C][C]34.1231615830146[/C][C]0.0493863159547248[/C][/ROW]
[ROW][C]0.93[/C][C]34.136702600458[/C][C]0.0355314484441884[/C][/ROW]
[ROW][C]0.94[/C][C]34.1479122829302[/C][C]0.0264636140801887[/C][/ROW]
[ROW][C]0.95[/C][C]34.1581139899987[/C][C]0.0219193167079445[/C][/ROW]
[ROW][C]0.96[/C][C]34.1684738445202[/C][C]0.0207196112877103[/C][/ROW]
[ROW][C]0.97[/C][C]34.1797285122346[/C][C]0.0207809101387224[/C][/ROW]
[ROW][C]0.98[/C][C]34.191747699202[/C][C]0.020427842161771[/C][/ROW]
[ROW][C]0.99[/C][C]34.2029053425093[/C][C]0.0197459185321862[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39110&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
0.0130.16036081919060.299441050775798
0.0230.28547729770860.182041604993006
0.0330.38153309398520.094443300765938
0.0430.43829057957790.0466522213791608
0.0530.46793429174040.0269961337721662
0.0630.48414950858100.0229455020404251
0.0730.49571896456140.02856730674017
0.0830.50755471952490.042538378692789
0.0930.52273712213490.0647093025513909
0.130.54359401133860.0944961980327763
0.1130.57193928494470.13028294615983
0.1230.60893480883290.169181366712976
0.1330.65489174595620.207411766049040
0.1430.70917097701860.241056617879569
0.1530.77024241607590.266726591387486
0.1630.83589735006720.282031440839586
0.1730.90356531737480.286206106678572
0.1830.97066764552200.279791326002059
0.1931.0349423140180.264636647956287
0.231.0946926065330.243398809890857
0.2131.14893566013590.219313779228835
0.2231.19744841768420.195751654593546
0.2331.24072320915370.175968603769805
0.2431.2798525610880.163005554040029
0.2531.31636466456590.159252551265280
0.2631.35202987520840.165834157324784
0.2731.38865692636910.182192161743209
0.2831.42789640635660.206416924218811
0.2931.47106851334840.235803953687205
0.331.51903130850980.267388522126787
0.3131.57210344240020.298033899005015
0.3231.6300507008690.32504510978953
0.3331.69213854091190.345955656805846
0.3431.75724388798440.359197569041024
0.3531.82401050293170.364116910426288
0.3631.89102521749390.360946575513256
0.3731.95698903245020.350926622782466
0.3832.02085840082830.335856543917404
0.3932.08193779984010.318116441295627
0.432.13991369801720.299942086197432
0.4132.19483032500560.283501855798887
0.4232.2470171544470.270228293041510
0.4332.29698495602650.26095458154171
0.4432.34531060078500.255547319163046
0.4532.39253029767840.253094859913658
0.4632.43905715748380.252514007920283
0.4732.48513302836730.252405821182354
0.4832.53081777324760.251568735001823
0.4932.5760128457510.249156742261956
0.532.6205111456520.244752986512383
0.5132.66406222799860.238320437246382
0.5232.70644107122940.230290109776477
0.5332.7475094744950.221428390433137
0.5432.78726124008670.21272773057925
0.5532.82584506415440.205169909194177
0.5632.86356208659060.199814685450340
0.5732.90083809727420.197517201133465
0.5832.93817336315830.198572878486617
0.5932.97607586685390.202925606203869
0.633.0149862791380.209890930343862
0.6133.05520490246870.218356007060859
0.6233.09683165019180.226886853501298
0.6333.13972938445460.233931182562942
0.6433.18351833979420.238043023281844
0.6533.22760502389370.238129865095678
0.6633.27124352927030.233480544110125
0.6733.31362166118050.223986676245024
0.6833.35395992641360.210093601594391
0.6933.3916092982620.192730970236605
0.733.42613430699860.173280911337372
0.7133.45737118951150.153268210965925
0.7233.48545563107460.134354892247113
0.7333.51081966349230.118059612724014
0.7433.5341611630580.105872761029186
0.7533.55639120800220.0988641350757436
0.7633.5785642094180.097720852474524
0.7733.60179401430330.102486688446617
0.7833.62715754712200.112419682695078
0.7933.65558761785340.126322966642019
0.833.68775939185610.142498865531727
0.8133.72398067508380.159005355854536
0.8233.76410309782780.173662874230516
0.8333.80747655664540.184305339009790
0.8433.85296930633110.189065884632234
0.8533.89906799840430.186684047859919
0.8633.94405528237970.176821775405861
0.8733.98624069088780.160234452193289
0.8834.02420073862710.138609394046207
0.8934.05697568276070.114346570657422
0.934.08417991351050.0900008330924437
0.9134.10600940481850.0678311685867485
0.9234.12316158301460.0493863159547248
0.9334.1367026004580.0355314484441884
0.9434.14791228293020.0264636140801887
0.9534.15811398999870.0219193167079445
0.9634.16847384452020.0207196112877103
0.9734.17972851223460.0207809101387224
0.9834.1917476992020.020427842161771
0.9934.20290534250930.0197459185321862



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')