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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 09 Mar 2009 02:38:04 -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/09/t1236587922w0nfuvdfv79ixk4.htm/, Retrieved Sun, 28 Apr 2024 21:33:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38740, Retrieved Sun, 28 Apr 2024 21:33:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [maximumprijs stud...] [2009-02-23 14:22:35] [02715571966c5d3fa10a0b3d6198f883]
-       [Notched Boxplots] [studio 100: Birgi...] [2009-02-23 14:31:51] [02715571966c5d3fa10a0b3d6198f883]
- RMPD      [Harrell-Davis Quantiles] [stof voor jurk, p...] [2009-03-09 08:38:04] [d1f918e423e17c77ffe66851ac8b2470] [Current]
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Dataseries X:
22.18
22.28
22.25
22.06
22.13
22.06
22.06
22.05
22.05
22.03
22.06
22.01
22.01
21.99
22
22
21.93
21.92
21.92
21.85
21.84
21.75
21.71
21.6
21.6
21.61
21.6
21.57
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.53
21.48
21.44
21.44
21.44
21.43
21.42
21.41
21.23
21.22
21.22
21.22
21.21
21.19
21.19
21.19
21.19
21.19
21.18
21.1
20.96
20.95
20.95
20.95
20.92
20.9
20.86
20.86
20.86
20.86
20.85
20.84
20.8
20.78
20.78
20.77
20.75
20.75
20.74
20.74
20.73
20.73




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38740&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38740&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38740&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120.73106685821530.00297729760031017
0.0220.73361604498130.00606160021245722
0.0320.73740208486730.0082863562495458
0.0420.74204987530660.0105926163989857
0.0520.74744137893300.0136760909305828
0.0620.75367501697460.0174690129533979
0.0720.76088204703050.0216041475317747
0.0820.76911366096770.025822238201201
0.0920.77831558472690.0298544113032066
0.120.78833985726230.0333633497776828
0.1120.79896694784630.0360182992641393
0.1220.80993972669540.0376774787206725
0.1320.82101391055740.0384390519176645
0.1420.83201708843900.0387030861142759
0.1520.84289789482880.0391675510060148
0.1620.85374778542430.0405076577002214
0.1720.86478869755390.0432548115768194
0.1820.87633287564810.0476564629215795
0.1920.88872895396710.0536779151395409
0.220.90230837908830.0610516853498429
0.2120.91734073629420.0694592927181576
0.2220.93400011905120.0784299364020794
0.2320.95234109642960.0873934446992295
0.2420.97228317840860.0957182173216187
0.2520.99360544712740.102675691424901
0.2621.01595549357750.107595983167465
0.2721.03887673743170.109979452139030
0.2821.06185498750940.109616153880337
0.2921.08437985269260.106608130430290
0.321.10601150553140.101488051343417
0.3121.12644044171640.0950377866964517
0.3221.14552840802940.0882674462681487
0.3321.16332240762470.0822286667118181
0.3421.18003937997140.0778976793937334
0.3521.19602508679910.0759445892032751
0.3621.21169540901120.0765996068353684
0.3721.22747078471790.0796027023192459
0.3821.24371471322080.0843451260283035
0.3921.26068547292040.0899789258122684
0.421.27850709324420.0956417950026897
0.4121.29716188864030.100563056975350
0.4221.31650316524700.104103057965378
0.4321.33628362028120.105867022378308
0.4421.35619293156170.105664633619975
0.4521.37589737636340.103599913600364
0.4621.39507507970810.099829582702492
0.4721.41344243133120.0946979906177706
0.4821.43076981322360.0885517793698824
0.4921.44688737624310.0817346880160483
0.521.46168355770350.0745331031081992
0.5121.47509992623330.0672160590505934
0.5221.48712569752680.0599467714835135
0.5321.49779414418580.0528684254398017
0.5421.50718160777140.0462468983263584
0.5521.51540844013800.0402319520542448
0.5621.52264035509690.0350915840721171
0.5721.5290885247350.0310487667525694
0.5821.53500721810830.0284656575558002
0.5921.54068857705130.0275563418416588
0.621.54645490490120.0285288278121823
0.6121.55264930637130.0314022152247449
0.6221.55962549766900.0360913264552828
0.6321.56773712944620.0425127104304947
0.6421.57732623914110.0504547294592912
0.6521.58870981144510.0597757226317436
0.6621.60216324479830.0702403923064437
0.6721.61790006809070.081456296055682
0.6821.63604856690810.09298631018287
0.6921.65662779409350.104213066266884
0.721.67952719375650.114478775690388
0.7121.70449505336430.123048060472429
0.7221.73114061467660.129290074704575
0.7321.75895270571930.132676319779752
0.7421.78733455058170.132963879598660
0.7521.81565084804730.130115410458452
0.7621.84328040604320.124387687030591
0.7721.86966649714490.116274789034262
0.7821.8943579612510.106399418367725
0.7921.91703643963360.095478835884836
0.821.93752793115700.0842101250906778
0.8121.95579905732110.0731951186617185
0.8221.97193955284240.0629483697661505
0.8321.98613302109160.0538412513062272
0.8421.99861903043730.046057512496458
0.8522.00965220966160.0396189531355439
0.8622.01946820179430.0343441004250358
0.8722.02827077784960.0299528812060921
0.8822.03625635182050.0261773950197863
0.8922.04368793031830.0230342496347901
0.922.05101633921930.0210234655717784
0.9122.05902015502290.0213088030613752
0.9222.06890082385250.0253017624585043
0.9322.08224132192880.0335237839310283
0.9422.10074142487490.0449635173514293
0.9522.12569936095680.0571661289954958
0.9622.15730455607260.0664852992444614
0.9722.19388791820710.0686346170656095
0.9822.23129503620520.0600098140937324
0.9922.26266365620010.0424587575254794

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20.7310668582153 & 0.00297729760031017 \tabularnewline
0.02 & 20.7336160449813 & 0.00606160021245722 \tabularnewline
0.03 & 20.7374020848673 & 0.0082863562495458 \tabularnewline
0.04 & 20.7420498753066 & 0.0105926163989857 \tabularnewline
0.05 & 20.7474413789330 & 0.0136760909305828 \tabularnewline
0.06 & 20.7536750169746 & 0.0174690129533979 \tabularnewline
0.07 & 20.7608820470305 & 0.0216041475317747 \tabularnewline
0.08 & 20.7691136609677 & 0.025822238201201 \tabularnewline
0.09 & 20.7783155847269 & 0.0298544113032066 \tabularnewline
0.1 & 20.7883398572623 & 0.0333633497776828 \tabularnewline
0.11 & 20.7989669478463 & 0.0360182992641393 \tabularnewline
0.12 & 20.8099397266954 & 0.0376774787206725 \tabularnewline
0.13 & 20.8210139105574 & 0.0384390519176645 \tabularnewline
0.14 & 20.8320170884390 & 0.0387030861142759 \tabularnewline
0.15 & 20.8428978948288 & 0.0391675510060148 \tabularnewline
0.16 & 20.8537477854243 & 0.0405076577002214 \tabularnewline
0.17 & 20.8647886975539 & 0.0432548115768194 \tabularnewline
0.18 & 20.8763328756481 & 0.0476564629215795 \tabularnewline
0.19 & 20.8887289539671 & 0.0536779151395409 \tabularnewline
0.2 & 20.9023083790883 & 0.0610516853498429 \tabularnewline
0.21 & 20.9173407362942 & 0.0694592927181576 \tabularnewline
0.22 & 20.9340001190512 & 0.0784299364020794 \tabularnewline
0.23 & 20.9523410964296 & 0.0873934446992295 \tabularnewline
0.24 & 20.9722831784086 & 0.0957182173216187 \tabularnewline
0.25 & 20.9936054471274 & 0.102675691424901 \tabularnewline
0.26 & 21.0159554935775 & 0.107595983167465 \tabularnewline
0.27 & 21.0388767374317 & 0.109979452139030 \tabularnewline
0.28 & 21.0618549875094 & 0.109616153880337 \tabularnewline
0.29 & 21.0843798526926 & 0.106608130430290 \tabularnewline
0.3 & 21.1060115055314 & 0.101488051343417 \tabularnewline
0.31 & 21.1264404417164 & 0.0950377866964517 \tabularnewline
0.32 & 21.1455284080294 & 0.0882674462681487 \tabularnewline
0.33 & 21.1633224076247 & 0.0822286667118181 \tabularnewline
0.34 & 21.1800393799714 & 0.0778976793937334 \tabularnewline
0.35 & 21.1960250867991 & 0.0759445892032751 \tabularnewline
0.36 & 21.2116954090112 & 0.0765996068353684 \tabularnewline
0.37 & 21.2274707847179 & 0.0796027023192459 \tabularnewline
0.38 & 21.2437147132208 & 0.0843451260283035 \tabularnewline
0.39 & 21.2606854729204 & 0.0899789258122684 \tabularnewline
0.4 & 21.2785070932442 & 0.0956417950026897 \tabularnewline
0.41 & 21.2971618886403 & 0.100563056975350 \tabularnewline
0.42 & 21.3165031652470 & 0.104103057965378 \tabularnewline
0.43 & 21.3362836202812 & 0.105867022378308 \tabularnewline
0.44 & 21.3561929315617 & 0.105664633619975 \tabularnewline
0.45 & 21.3758973763634 & 0.103599913600364 \tabularnewline
0.46 & 21.3950750797081 & 0.099829582702492 \tabularnewline
0.47 & 21.4134424313312 & 0.0946979906177706 \tabularnewline
0.48 & 21.4307698132236 & 0.0885517793698824 \tabularnewline
0.49 & 21.4468873762431 & 0.0817346880160483 \tabularnewline
0.5 & 21.4616835577035 & 0.0745331031081992 \tabularnewline
0.51 & 21.4750999262333 & 0.0672160590505934 \tabularnewline
0.52 & 21.4871256975268 & 0.0599467714835135 \tabularnewline
0.53 & 21.4977941441858 & 0.0528684254398017 \tabularnewline
0.54 & 21.5071816077714 & 0.0462468983263584 \tabularnewline
0.55 & 21.5154084401380 & 0.0402319520542448 \tabularnewline
0.56 & 21.5226403550969 & 0.0350915840721171 \tabularnewline
0.57 & 21.529088524735 & 0.0310487667525694 \tabularnewline
0.58 & 21.5350072181083 & 0.0284656575558002 \tabularnewline
0.59 & 21.5406885770513 & 0.0275563418416588 \tabularnewline
0.6 & 21.5464549049012 & 0.0285288278121823 \tabularnewline
0.61 & 21.5526493063713 & 0.0314022152247449 \tabularnewline
0.62 & 21.5596254976690 & 0.0360913264552828 \tabularnewline
0.63 & 21.5677371294462 & 0.0425127104304947 \tabularnewline
0.64 & 21.5773262391411 & 0.0504547294592912 \tabularnewline
0.65 & 21.5887098114451 & 0.0597757226317436 \tabularnewline
0.66 & 21.6021632447983 & 0.0702403923064437 \tabularnewline
0.67 & 21.6179000680907 & 0.081456296055682 \tabularnewline
0.68 & 21.6360485669081 & 0.09298631018287 \tabularnewline
0.69 & 21.6566277940935 & 0.104213066266884 \tabularnewline
0.7 & 21.6795271937565 & 0.114478775690388 \tabularnewline
0.71 & 21.7044950533643 & 0.123048060472429 \tabularnewline
0.72 & 21.7311406146766 & 0.129290074704575 \tabularnewline
0.73 & 21.7589527057193 & 0.132676319779752 \tabularnewline
0.74 & 21.7873345505817 & 0.132963879598660 \tabularnewline
0.75 & 21.8156508480473 & 0.130115410458452 \tabularnewline
0.76 & 21.8432804060432 & 0.124387687030591 \tabularnewline
0.77 & 21.8696664971449 & 0.116274789034262 \tabularnewline
0.78 & 21.894357961251 & 0.106399418367725 \tabularnewline
0.79 & 21.9170364396336 & 0.095478835884836 \tabularnewline
0.8 & 21.9375279311570 & 0.0842101250906778 \tabularnewline
0.81 & 21.9557990573211 & 0.0731951186617185 \tabularnewline
0.82 & 21.9719395528424 & 0.0629483697661505 \tabularnewline
0.83 & 21.9861330210916 & 0.0538412513062272 \tabularnewline
0.84 & 21.9986190304373 & 0.046057512496458 \tabularnewline
0.85 & 22.0096522096616 & 0.0396189531355439 \tabularnewline
0.86 & 22.0194682017943 & 0.0343441004250358 \tabularnewline
0.87 & 22.0282707778496 & 0.0299528812060921 \tabularnewline
0.88 & 22.0362563518205 & 0.0261773950197863 \tabularnewline
0.89 & 22.0436879303183 & 0.0230342496347901 \tabularnewline
0.9 & 22.0510163392193 & 0.0210234655717784 \tabularnewline
0.91 & 22.0590201550229 & 0.0213088030613752 \tabularnewline
0.92 & 22.0689008238525 & 0.0253017624585043 \tabularnewline
0.93 & 22.0822413219288 & 0.0335237839310283 \tabularnewline
0.94 & 22.1007414248749 & 0.0449635173514293 \tabularnewline
0.95 & 22.1256993609568 & 0.0571661289954958 \tabularnewline
0.96 & 22.1573045560726 & 0.0664852992444614 \tabularnewline
0.97 & 22.1938879182071 & 0.0686346170656095 \tabularnewline
0.98 & 22.2312950362052 & 0.0600098140937324 \tabularnewline
0.99 & 22.2626636562001 & 0.0424587575254794 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38740&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]20.7310668582153[/C][C]0.00297729760031017[/C][/ROW]
[ROW][C]0.02[/C][C]20.7336160449813[/C][C]0.00606160021245722[/C][/ROW]
[ROW][C]0.03[/C][C]20.7374020848673[/C][C]0.0082863562495458[/C][/ROW]
[ROW][C]0.04[/C][C]20.7420498753066[/C][C]0.0105926163989857[/C][/ROW]
[ROW][C]0.05[/C][C]20.7474413789330[/C][C]0.0136760909305828[/C][/ROW]
[ROW][C]0.06[/C][C]20.7536750169746[/C][C]0.0174690129533979[/C][/ROW]
[ROW][C]0.07[/C][C]20.7608820470305[/C][C]0.0216041475317747[/C][/ROW]
[ROW][C]0.08[/C][C]20.7691136609677[/C][C]0.025822238201201[/C][/ROW]
[ROW][C]0.09[/C][C]20.7783155847269[/C][C]0.0298544113032066[/C][/ROW]
[ROW][C]0.1[/C][C]20.7883398572623[/C][C]0.0333633497776828[/C][/ROW]
[ROW][C]0.11[/C][C]20.7989669478463[/C][C]0.0360182992641393[/C][/ROW]
[ROW][C]0.12[/C][C]20.8099397266954[/C][C]0.0376774787206725[/C][/ROW]
[ROW][C]0.13[/C][C]20.8210139105574[/C][C]0.0384390519176645[/C][/ROW]
[ROW][C]0.14[/C][C]20.8320170884390[/C][C]0.0387030861142759[/C][/ROW]
[ROW][C]0.15[/C][C]20.8428978948288[/C][C]0.0391675510060148[/C][/ROW]
[ROW][C]0.16[/C][C]20.8537477854243[/C][C]0.0405076577002214[/C][/ROW]
[ROW][C]0.17[/C][C]20.8647886975539[/C][C]0.0432548115768194[/C][/ROW]
[ROW][C]0.18[/C][C]20.8763328756481[/C][C]0.0476564629215795[/C][/ROW]
[ROW][C]0.19[/C][C]20.8887289539671[/C][C]0.0536779151395409[/C][/ROW]
[ROW][C]0.2[/C][C]20.9023083790883[/C][C]0.0610516853498429[/C][/ROW]
[ROW][C]0.21[/C][C]20.9173407362942[/C][C]0.0694592927181576[/C][/ROW]
[ROW][C]0.22[/C][C]20.9340001190512[/C][C]0.0784299364020794[/C][/ROW]
[ROW][C]0.23[/C][C]20.9523410964296[/C][C]0.0873934446992295[/C][/ROW]
[ROW][C]0.24[/C][C]20.9722831784086[/C][C]0.0957182173216187[/C][/ROW]
[ROW][C]0.25[/C][C]20.9936054471274[/C][C]0.102675691424901[/C][/ROW]
[ROW][C]0.26[/C][C]21.0159554935775[/C][C]0.107595983167465[/C][/ROW]
[ROW][C]0.27[/C][C]21.0388767374317[/C][C]0.109979452139030[/C][/ROW]
[ROW][C]0.28[/C][C]21.0618549875094[/C][C]0.109616153880337[/C][/ROW]
[ROW][C]0.29[/C][C]21.0843798526926[/C][C]0.106608130430290[/C][/ROW]
[ROW][C]0.3[/C][C]21.1060115055314[/C][C]0.101488051343417[/C][/ROW]
[ROW][C]0.31[/C][C]21.1264404417164[/C][C]0.0950377866964517[/C][/ROW]
[ROW][C]0.32[/C][C]21.1455284080294[/C][C]0.0882674462681487[/C][/ROW]
[ROW][C]0.33[/C][C]21.1633224076247[/C][C]0.0822286667118181[/C][/ROW]
[ROW][C]0.34[/C][C]21.1800393799714[/C][C]0.0778976793937334[/C][/ROW]
[ROW][C]0.35[/C][C]21.1960250867991[/C][C]0.0759445892032751[/C][/ROW]
[ROW][C]0.36[/C][C]21.2116954090112[/C][C]0.0765996068353684[/C][/ROW]
[ROW][C]0.37[/C][C]21.2274707847179[/C][C]0.0796027023192459[/C][/ROW]
[ROW][C]0.38[/C][C]21.2437147132208[/C][C]0.0843451260283035[/C][/ROW]
[ROW][C]0.39[/C][C]21.2606854729204[/C][C]0.0899789258122684[/C][/ROW]
[ROW][C]0.4[/C][C]21.2785070932442[/C][C]0.0956417950026897[/C][/ROW]
[ROW][C]0.41[/C][C]21.2971618886403[/C][C]0.100563056975350[/C][/ROW]
[ROW][C]0.42[/C][C]21.3165031652470[/C][C]0.104103057965378[/C][/ROW]
[ROW][C]0.43[/C][C]21.3362836202812[/C][C]0.105867022378308[/C][/ROW]
[ROW][C]0.44[/C][C]21.3561929315617[/C][C]0.105664633619975[/C][/ROW]
[ROW][C]0.45[/C][C]21.3758973763634[/C][C]0.103599913600364[/C][/ROW]
[ROW][C]0.46[/C][C]21.3950750797081[/C][C]0.099829582702492[/C][/ROW]
[ROW][C]0.47[/C][C]21.4134424313312[/C][C]0.0946979906177706[/C][/ROW]
[ROW][C]0.48[/C][C]21.4307698132236[/C][C]0.0885517793698824[/C][/ROW]
[ROW][C]0.49[/C][C]21.4468873762431[/C][C]0.0817346880160483[/C][/ROW]
[ROW][C]0.5[/C][C]21.4616835577035[/C][C]0.0745331031081992[/C][/ROW]
[ROW][C]0.51[/C][C]21.4750999262333[/C][C]0.0672160590505934[/C][/ROW]
[ROW][C]0.52[/C][C]21.4871256975268[/C][C]0.0599467714835135[/C][/ROW]
[ROW][C]0.53[/C][C]21.4977941441858[/C][C]0.0528684254398017[/C][/ROW]
[ROW][C]0.54[/C][C]21.5071816077714[/C][C]0.0462468983263584[/C][/ROW]
[ROW][C]0.55[/C][C]21.5154084401380[/C][C]0.0402319520542448[/C][/ROW]
[ROW][C]0.56[/C][C]21.5226403550969[/C][C]0.0350915840721171[/C][/ROW]
[ROW][C]0.57[/C][C]21.529088524735[/C][C]0.0310487667525694[/C][/ROW]
[ROW][C]0.58[/C][C]21.5350072181083[/C][C]0.0284656575558002[/C][/ROW]
[ROW][C]0.59[/C][C]21.5406885770513[/C][C]0.0275563418416588[/C][/ROW]
[ROW][C]0.6[/C][C]21.5464549049012[/C][C]0.0285288278121823[/C][/ROW]
[ROW][C]0.61[/C][C]21.5526493063713[/C][C]0.0314022152247449[/C][/ROW]
[ROW][C]0.62[/C][C]21.5596254976690[/C][C]0.0360913264552828[/C][/ROW]
[ROW][C]0.63[/C][C]21.5677371294462[/C][C]0.0425127104304947[/C][/ROW]
[ROW][C]0.64[/C][C]21.5773262391411[/C][C]0.0504547294592912[/C][/ROW]
[ROW][C]0.65[/C][C]21.5887098114451[/C][C]0.0597757226317436[/C][/ROW]
[ROW][C]0.66[/C][C]21.6021632447983[/C][C]0.0702403923064437[/C][/ROW]
[ROW][C]0.67[/C][C]21.6179000680907[/C][C]0.081456296055682[/C][/ROW]
[ROW][C]0.68[/C][C]21.6360485669081[/C][C]0.09298631018287[/C][/ROW]
[ROW][C]0.69[/C][C]21.6566277940935[/C][C]0.104213066266884[/C][/ROW]
[ROW][C]0.7[/C][C]21.6795271937565[/C][C]0.114478775690388[/C][/ROW]
[ROW][C]0.71[/C][C]21.7044950533643[/C][C]0.123048060472429[/C][/ROW]
[ROW][C]0.72[/C][C]21.7311406146766[/C][C]0.129290074704575[/C][/ROW]
[ROW][C]0.73[/C][C]21.7589527057193[/C][C]0.132676319779752[/C][/ROW]
[ROW][C]0.74[/C][C]21.7873345505817[/C][C]0.132963879598660[/C][/ROW]
[ROW][C]0.75[/C][C]21.8156508480473[/C][C]0.130115410458452[/C][/ROW]
[ROW][C]0.76[/C][C]21.8432804060432[/C][C]0.124387687030591[/C][/ROW]
[ROW][C]0.77[/C][C]21.8696664971449[/C][C]0.116274789034262[/C][/ROW]
[ROW][C]0.78[/C][C]21.894357961251[/C][C]0.106399418367725[/C][/ROW]
[ROW][C]0.79[/C][C]21.9170364396336[/C][C]0.095478835884836[/C][/ROW]
[ROW][C]0.8[/C][C]21.9375279311570[/C][C]0.0842101250906778[/C][/ROW]
[ROW][C]0.81[/C][C]21.9557990573211[/C][C]0.0731951186617185[/C][/ROW]
[ROW][C]0.82[/C][C]21.9719395528424[/C][C]0.0629483697661505[/C][/ROW]
[ROW][C]0.83[/C][C]21.9861330210916[/C][C]0.0538412513062272[/C][/ROW]
[ROW][C]0.84[/C][C]21.9986190304373[/C][C]0.046057512496458[/C][/ROW]
[ROW][C]0.85[/C][C]22.0096522096616[/C][C]0.0396189531355439[/C][/ROW]
[ROW][C]0.86[/C][C]22.0194682017943[/C][C]0.0343441004250358[/C][/ROW]
[ROW][C]0.87[/C][C]22.0282707778496[/C][C]0.0299528812060921[/C][/ROW]
[ROW][C]0.88[/C][C]22.0362563518205[/C][C]0.0261773950197863[/C][/ROW]
[ROW][C]0.89[/C][C]22.0436879303183[/C][C]0.0230342496347901[/C][/ROW]
[ROW][C]0.9[/C][C]22.0510163392193[/C][C]0.0210234655717784[/C][/ROW]
[ROW][C]0.91[/C][C]22.0590201550229[/C][C]0.0213088030613752[/C][/ROW]
[ROW][C]0.92[/C][C]22.0689008238525[/C][C]0.0253017624585043[/C][/ROW]
[ROW][C]0.93[/C][C]22.0822413219288[/C][C]0.0335237839310283[/C][/ROW]
[ROW][C]0.94[/C][C]22.1007414248749[/C][C]0.0449635173514293[/C][/ROW]
[ROW][C]0.95[/C][C]22.1256993609568[/C][C]0.0571661289954958[/C][/ROW]
[ROW][C]0.96[/C][C]22.1573045560726[/C][C]0.0664852992444614[/C][/ROW]
[ROW][C]0.97[/C][C]22.1938879182071[/C][C]0.0686346170656095[/C][/ROW]
[ROW][C]0.98[/C][C]22.2312950362052[/C][C]0.0600098140937324[/C][/ROW]
[ROW][C]0.99[/C][C]22.2626636562001[/C][C]0.0424587575254794[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38740&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38740&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
0.0120.73106685821530.00297729760031017
0.0220.73361604498130.00606160021245722
0.0320.73740208486730.0082863562495458
0.0420.74204987530660.0105926163989857
0.0520.74744137893300.0136760909305828
0.0620.75367501697460.0174690129533979
0.0720.76088204703050.0216041475317747
0.0820.76911366096770.025822238201201
0.0920.77831558472690.0298544113032066
0.120.78833985726230.0333633497776828
0.1120.79896694784630.0360182992641393
0.1220.80993972669540.0376774787206725
0.1320.82101391055740.0384390519176645
0.1420.83201708843900.0387030861142759
0.1520.84289789482880.0391675510060148
0.1620.85374778542430.0405076577002214
0.1720.86478869755390.0432548115768194
0.1820.87633287564810.0476564629215795
0.1920.88872895396710.0536779151395409
0.220.90230837908830.0610516853498429
0.2120.91734073629420.0694592927181576
0.2220.93400011905120.0784299364020794
0.2320.95234109642960.0873934446992295
0.2420.97228317840860.0957182173216187
0.2520.99360544712740.102675691424901
0.2621.01595549357750.107595983167465
0.2721.03887673743170.109979452139030
0.2821.06185498750940.109616153880337
0.2921.08437985269260.106608130430290
0.321.10601150553140.101488051343417
0.3121.12644044171640.0950377866964517
0.3221.14552840802940.0882674462681487
0.3321.16332240762470.0822286667118181
0.3421.18003937997140.0778976793937334
0.3521.19602508679910.0759445892032751
0.3621.21169540901120.0765996068353684
0.3721.22747078471790.0796027023192459
0.3821.24371471322080.0843451260283035
0.3921.26068547292040.0899789258122684
0.421.27850709324420.0956417950026897
0.4121.29716188864030.100563056975350
0.4221.31650316524700.104103057965378
0.4321.33628362028120.105867022378308
0.4421.35619293156170.105664633619975
0.4521.37589737636340.103599913600364
0.4621.39507507970810.099829582702492
0.4721.41344243133120.0946979906177706
0.4821.43076981322360.0885517793698824
0.4921.44688737624310.0817346880160483
0.521.46168355770350.0745331031081992
0.5121.47509992623330.0672160590505934
0.5221.48712569752680.0599467714835135
0.5321.49779414418580.0528684254398017
0.5421.50718160777140.0462468983263584
0.5521.51540844013800.0402319520542448
0.5621.52264035509690.0350915840721171
0.5721.5290885247350.0310487667525694
0.5821.53500721810830.0284656575558002
0.5921.54068857705130.0275563418416588
0.621.54645490490120.0285288278121823
0.6121.55264930637130.0314022152247449
0.6221.55962549766900.0360913264552828
0.6321.56773712944620.0425127104304947
0.6421.57732623914110.0504547294592912
0.6521.58870981144510.0597757226317436
0.6621.60216324479830.0702403923064437
0.6721.61790006809070.081456296055682
0.6821.63604856690810.09298631018287
0.6921.65662779409350.104213066266884
0.721.67952719375650.114478775690388
0.7121.70449505336430.123048060472429
0.7221.73114061467660.129290074704575
0.7321.75895270571930.132676319779752
0.7421.78733455058170.132963879598660
0.7521.81565084804730.130115410458452
0.7621.84328040604320.124387687030591
0.7721.86966649714490.116274789034262
0.7821.8943579612510.106399418367725
0.7921.91703643963360.095478835884836
0.821.93752793115700.0842101250906778
0.8121.95579905732110.0731951186617185
0.8221.97193955284240.0629483697661505
0.8321.98613302109160.0538412513062272
0.8421.99861903043730.046057512496458
0.8522.00965220966160.0396189531355439
0.8622.01946820179430.0343441004250358
0.8722.02827077784960.0299528812060921
0.8822.03625635182050.0261773950197863
0.8922.04368793031830.0230342496347901
0.922.05101633921930.0210234655717784
0.9122.05902015502290.0213088030613752
0.9222.06890082385250.0253017624585043
0.9322.08224132192880.0335237839310283
0.9422.10074142487490.0449635173514293
0.9522.12569936095680.0571661289954958
0.9622.15730455607260.0664852992444614
0.9722.19388791820710.0686346170656095
0.9822.23129503620520.0600098140937324
0.9922.26266365620010.0424587575254794



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')