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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 20 Oct 2009 17:54:37 -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/Oct/21/t1256083051vv2cguxtc8l78ex.htm/, Retrieved Wed, 11 Feb 2026 21:10:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49235, Retrieved Wed, 11 Feb 2026 21:10:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact371

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
-   PD      [Univariate Data Series] [WS3V2 - Y[t]+X[t]] [2009-10-20 17:13:57] [90e6802d28d0afa9b030a19cd25ed2b0]
- RMPD          [Harrell-Davis Quantiles] [WorkShop3 (SHW)] [2009-10-20 23:54:37] [2d9a0b3c2f25bb8f387fafb994d0d852] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
581000
597000
587000
536000
524000
537000
536000
533000
528000
516000
502000
506000
518000
534000
528000
478000
469000
490000
493000
508000
517000
514000
510000
527000
542000
565000
555000
499000
511000
526000
532000
549000
561000
557000
566000
588000
620000
626000
620000
573000
573000
574000
580000
590000
593000
597000
595000
612000
628000
629000
621000
569000
567000
573000
584000
589000
591000
595000
594000
611000

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49235&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49235&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49235&T=0

As an alternative you can also use a QR Code:  
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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.005470043.6633412428945.0978160176
0.01471587.4030275359109.9595434062
0.015473520.9822500629322.5362492932
0.02475713.2426862729520.36294770301
0.025478039.433200319635.82460721653
0.03480396.4660432449627.68468274668
0.035482708.2675407779491.01639427448
0.04484924.6931394419249.91169272742
0.045487017.1848608388943.15651926288
0.05488973.4240479328609.98489756693
0.055490792.2787915078281.18140183147
0.06492479.6274731617976.04033320942
0.065494045.1997220577701.9315278617
0.07495500.3543636817457.62724063153
0.075496856.6292485877238.0741235828
0.08498124.8843664097036.83355159907
0.085499314.8762868956847.97592655486
0.09500435.1279265686667.33228244878
0.095501492.9844685286493.51521411717
0.1502494.7713241826326.32256334064
0.105503445.9926339356167.09349968222
0.11504351.5285927146017.36355316497
0.115505215.8064480985880.04412949051
0.12506042.9330377195757.39916881253
0.125506836.78616045651.23583901824
0.13507601.0681889275563.31689560233
0.135508339.3286692365494.82849645954
0.14509054.9638841255445.73542561965
0.145509751.2011708135416.45272803394
0.15510431.0747670825405.76488648133
0.155511097.3985830965412.37538814315
0.16511752.7398740135434.75054722679
0.165512399.3965130115471.21463361067
0.17513039.3795254515518.75307533322
0.175513674.4017633275575.34365588707
0.18514305.8730522515638.30574231727
0.185514934.9017868285705.22416954698
0.19515562.3027327295774.0360738118
0.195516188.6106660715841.33953274059
0.2516814.0994015995905.16441297834
0.205517438.8056999955964.00405254233
0.21518062.5574821516015.61745310629
0.215518685.0057053996057.72041810156
0.22519305.6591739066090.69728696102
0.225519923.9214692556111.72126839185
0.23520539.1291088446122.00098289258
0.235521150.5899813646121.56683210964
0.24521757.6210819326109.84432602411
0.245522359.584582916088.20179150647
0.25522955.9213343546058.93720238652
0.255523546.1809897346022.31567740683
0.26524130.0480923855980.97783250724
0.265524707.3636264215937.54972234535
0.27525278.141719755893.53402515132
0.275525842.5813722655851.7372250135
0.28526401.0732553065814.49296654332
0.285526954.2017768875785.63215311056
0.29527502.7427218965765.9032721963
0.295528047.6568520185758.37350852445
0.3528590.0798857625765.08647109565
0.305529131.3092775295787.80258889594
0.31529672.7881831375829.05975462476
0.315530216.0869469025889.20981634757
0.32530762.882383445970.66064304972
0.325531314.9350671476074.49348660472
0.33531874.0647943776201.24717469121
0.335532442.1243563736349.65259609286
0.34533020.9717607896522.33487622246
0.345533612.4410689646716.97623062377
0.35534218.3120740476933.51074688847
0.355534840.2791276337170.85190693419
0.36535479.919522787427.50961200195
0.365536138.6619501187700.37968728467
0.37536817.7556507257988.06345051015
0.375537518.240983898286.77962493517
0.38538240.9221995278593.74069313139
0.385538986.3432450288905.45587193365
0.39539754.767438159217.2620246926
0.395540546.1617971029526.07989539036
0.4541360.1867351829827.4020633237
0.405542196.19170225710116.8172893851
0.41543053.21719377910390.3990846974
0.415543930.0033571910644.9798369035
0.42544825.0052149410876.9281671648
0.425545736.41430327311081.9203623633
0.43546662.18630771811258.3790862956
0.435547600.07407085711403.4273164194
0.44548547.66516545111515.0935818913
0.445549502.42307521811593.3350188599
0.45550461.73091304611635.7824911523
0.455551422.93653676311643.1548343516
0.46552383.39789762911616.0793765296
0.465553340.52747604911555.8115117324
0.47554291.83471980311463.7988034485
0.475555234.96549748211341.6718958840
0.48556167.73770737211193.0468958009
0.485557088.17233219711019.2501727229
0.49557994.51939456610824.9675667035
0.495558885.27843853610612.4343720815
0.5559759.21333139810385.0160234858
0.505560615.36133963310147.1268854695
0.51561453.0365782179902.3619939203
0.515562271.8280586889653.90431122404
0.52563071.59266599404.11111916632
0.525563852.4434751679158.2275487225
0.53564614.7338809348918.05205288568
0.535565359.0380469398685.95014709184
0.54566086.1282090688465.3859099615
0.545566796.9493691478257.72522890025
0.55567492.5919147928065.10691176387
0.555568174.262691117889.30145280103
0.56568843.255037877730.96548456885
0.565569500.9182938467589.95909299194
0.57570148.6272600257467.5452428837
0.575570787.7521064667363.77745552312
0.58571419.62920327276.57621941958
0.585572045.5333527277206.07440301449
0.59572666.6518978637150.82968293965
0.595573284.0611712777108.8457078478
0.6573898.7057386197078.89441926687
0.605574511.3808623857057.94948855169
0.61575122.7185757627043.76233627407
0.615575733.1777021397034.86534468488
0.62576343.0380857167027.02566312837
0.625576952.3992114777019.49725098704
0.63577561.1832901497009.15018390117
0.635578169.1427684736994.23796956258
0.64578775.872101356971.67868835966
0.645579380.8234956576940.44397269743
0.65579983.3262121926898.96196253687
0.655580582.6088992246845.80035858241
0.66581177.8243357416780.79914456884
0.665581768.0758914196702.67663616062
0.67582352.4449695866611.92470066915
0.675582930.0186936726509.10344686226
0.68583499.9171295686393.67128212105
0.685584061.3194066736268.24527283357
0.69584613.4882072846132.37373618015
0.695585155.7922328665988.20705286316
0.7585687.7264193965837.49647242795
0.705586208.9298525815681.98087277622
0.71586719.2015150795524.03702915179
0.715587218.5141679395365.02754538733
0.72587707.0268119465207.32957150564
0.725588185.0962757215053.19622282841
0.73588653.2885210354904.34233783897
0.735589112.3902283854762.95101733778
0.74589563.4211168244631.24900778322
0.745590007.6472550084511.7435419219
0.75590446.5953348524405.93907574989
0.755590882.0675111114316.76331060924
0.76591316.1559739684246.88024057092
0.765591751.2559400794199.18925007674
0.77592190.0752522364175.96051693741
0.775592635.6383092244181.26704733708
0.78593091.2816529334217.93605065169
0.785593560.6382720614289.44282234303
0.79594047.6075951364398.07750597661
0.795594556.3082927514547.17816709568
0.8595091.0114348214737.65750670631
0.805595656.0522864664969.72200786098
0.81596255.7200901045242.4181440701
0.815596894.1265628365552.84739281172
0.82597575.0554999415897.45689286087
0.825598301.7977491356269.48049303346
0.83599076.9778049666661.65628214501
0.835599902.380235557064.86879587694
0.84600778.7859333287468.02478251666
0.845601705.829593427860.32087437876
0.85602681.8906692478228.52143220837
0.855603704.0301337798560.68993417013
0.86604767.9844957618843.97725163363
0.865605868.2265215279066.73424037277
0.87606998.098882449219.15012777135
0.875608150.0224492719292.84671204424
0.88609315.7752585469282.85856777994
0.885610486.8314937259186.85619930324
0.89611654.7425444959006.17174942157
0.895612811.5349250768746.55563257493
0.9613950.0933613348416.47985528301
0.905615064.4927135548028.76732429297
0.91616150.2407412927598.65659784367
0.915617204.3961998977143.59239447785
0.92618225.5343442086681.37879734377
0.925619213.545073756229.67878404633
0.93620169.267327935802.56191558945
0.935621093.985412085409.17758109337
0.94621988.8358161125051.62136611758
0.945622854.192577874724.60938757453
0.95623689.1103731774414.91622587436
0.955624490.902732834105.16632295598
0.96625254.9158544273777.43400199833
0.965625974.5288009053417.88092520119
0.97626641.3774892373020.45024241509
0.975627245.7785376292591.15958443504
0.98627777.3383904022149.41658709081
0.985628225.7848552061728.50746736964
0.99628582.1411117431371.72085157483
0.995628840.4249699541119.48396378000

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 470043.663341242 & 8945.0978160176 \tabularnewline
0.01 & 471587.403027535 & 9109.9595434062 \tabularnewline
0.015 & 473520.982250062 & 9322.5362492932 \tabularnewline
0.02 & 475713.242686272 & 9520.36294770301 \tabularnewline
0.025 & 478039.43320031 & 9635.82460721653 \tabularnewline
0.03 & 480396.466043244 & 9627.68468274668 \tabularnewline
0.035 & 482708.267540777 & 9491.01639427448 \tabularnewline
0.04 & 484924.693139441 & 9249.91169272742 \tabularnewline
0.045 & 487017.184860838 & 8943.15651926288 \tabularnewline
0.05 & 488973.424047932 & 8609.98489756693 \tabularnewline
0.055 & 490792.278791507 & 8281.18140183147 \tabularnewline
0.06 & 492479.627473161 & 7976.04033320942 \tabularnewline
0.065 & 494045.199722057 & 7701.9315278617 \tabularnewline
0.07 & 495500.354363681 & 7457.62724063153 \tabularnewline
0.075 & 496856.629248587 & 7238.0741235828 \tabularnewline
0.08 & 498124.884366409 & 7036.83355159907 \tabularnewline
0.085 & 499314.876286895 & 6847.97592655486 \tabularnewline
0.09 & 500435.127926568 & 6667.33228244878 \tabularnewline
0.095 & 501492.984468528 & 6493.51521411717 \tabularnewline
0.1 & 502494.771324182 & 6326.32256334064 \tabularnewline
0.105 & 503445.992633935 & 6167.09349968222 \tabularnewline
0.11 & 504351.528592714 & 6017.36355316497 \tabularnewline
0.115 & 505215.806448098 & 5880.04412949051 \tabularnewline
0.12 & 506042.933037719 & 5757.39916881253 \tabularnewline
0.125 & 506836.7861604 & 5651.23583901824 \tabularnewline
0.13 & 507601.068188927 & 5563.31689560233 \tabularnewline
0.135 & 508339.328669236 & 5494.82849645954 \tabularnewline
0.14 & 509054.963884125 & 5445.73542561965 \tabularnewline
0.145 & 509751.201170813 & 5416.45272803394 \tabularnewline
0.15 & 510431.074767082 & 5405.76488648133 \tabularnewline
0.155 & 511097.398583096 & 5412.37538814315 \tabularnewline
0.16 & 511752.739874013 & 5434.75054722679 \tabularnewline
0.165 & 512399.396513011 & 5471.21463361067 \tabularnewline
0.17 & 513039.379525451 & 5518.75307533322 \tabularnewline
0.175 & 513674.401763327 & 5575.34365588707 \tabularnewline
0.18 & 514305.873052251 & 5638.30574231727 \tabularnewline
0.185 & 514934.901786828 & 5705.22416954698 \tabularnewline
0.19 & 515562.302732729 & 5774.0360738118 \tabularnewline
0.195 & 516188.610666071 & 5841.33953274059 \tabularnewline
0.2 & 516814.099401599 & 5905.16441297834 \tabularnewline
0.205 & 517438.805699995 & 5964.00405254233 \tabularnewline
0.21 & 518062.557482151 & 6015.61745310629 \tabularnewline
0.215 & 518685.005705399 & 6057.72041810156 \tabularnewline
0.22 & 519305.659173906 & 6090.69728696102 \tabularnewline
0.225 & 519923.921469255 & 6111.72126839185 \tabularnewline
0.23 & 520539.129108844 & 6122.00098289258 \tabularnewline
0.235 & 521150.589981364 & 6121.56683210964 \tabularnewline
0.24 & 521757.621081932 & 6109.84432602411 \tabularnewline
0.245 & 522359.58458291 & 6088.20179150647 \tabularnewline
0.25 & 522955.921334354 & 6058.93720238652 \tabularnewline
0.255 & 523546.180989734 & 6022.31567740683 \tabularnewline
0.26 & 524130.048092385 & 5980.97783250724 \tabularnewline
0.265 & 524707.363626421 & 5937.54972234535 \tabularnewline
0.27 & 525278.14171975 & 5893.53402515132 \tabularnewline
0.275 & 525842.581372265 & 5851.7372250135 \tabularnewline
0.28 & 526401.073255306 & 5814.49296654332 \tabularnewline
0.285 & 526954.201776887 & 5785.63215311056 \tabularnewline
0.29 & 527502.742721896 & 5765.9032721963 \tabularnewline
0.295 & 528047.656852018 & 5758.37350852445 \tabularnewline
0.3 & 528590.079885762 & 5765.08647109565 \tabularnewline
0.305 & 529131.309277529 & 5787.80258889594 \tabularnewline
0.31 & 529672.788183137 & 5829.05975462476 \tabularnewline
0.315 & 530216.086946902 & 5889.20981634757 \tabularnewline
0.32 & 530762.88238344 & 5970.66064304972 \tabularnewline
0.325 & 531314.935067147 & 6074.49348660472 \tabularnewline
0.33 & 531874.064794377 & 6201.24717469121 \tabularnewline
0.335 & 532442.124356373 & 6349.65259609286 \tabularnewline
0.34 & 533020.971760789 & 6522.33487622246 \tabularnewline
0.345 & 533612.441068964 & 6716.97623062377 \tabularnewline
0.35 & 534218.312074047 & 6933.51074688847 \tabularnewline
0.355 & 534840.279127633 & 7170.85190693419 \tabularnewline
0.36 & 535479.91952278 & 7427.50961200195 \tabularnewline
0.365 & 536138.661950118 & 7700.37968728467 \tabularnewline
0.37 & 536817.755650725 & 7988.06345051015 \tabularnewline
0.375 & 537518.24098389 & 8286.77962493517 \tabularnewline
0.38 & 538240.922199527 & 8593.74069313139 \tabularnewline
0.385 & 538986.343245028 & 8905.45587193365 \tabularnewline
0.39 & 539754.76743815 & 9217.2620246926 \tabularnewline
0.395 & 540546.161797102 & 9526.07989539036 \tabularnewline
0.4 & 541360.186735182 & 9827.4020633237 \tabularnewline
0.405 & 542196.191702257 & 10116.8172893851 \tabularnewline
0.41 & 543053.217193779 & 10390.3990846974 \tabularnewline
0.415 & 543930.00335719 & 10644.9798369035 \tabularnewline
0.42 & 544825.00521494 & 10876.9281671648 \tabularnewline
0.425 & 545736.414303273 & 11081.9203623633 \tabularnewline
0.43 & 546662.186307718 & 11258.3790862956 \tabularnewline
0.435 & 547600.074070857 & 11403.4273164194 \tabularnewline
0.44 & 548547.665165451 & 11515.0935818913 \tabularnewline
0.445 & 549502.423075218 & 11593.3350188599 \tabularnewline
0.45 & 550461.730913046 & 11635.7824911523 \tabularnewline
0.455 & 551422.936536763 & 11643.1548343516 \tabularnewline
0.46 & 552383.397897629 & 11616.0793765296 \tabularnewline
0.465 & 553340.527476049 & 11555.8115117324 \tabularnewline
0.47 & 554291.834719803 & 11463.7988034485 \tabularnewline
0.475 & 555234.965497482 & 11341.6718958840 \tabularnewline
0.48 & 556167.737707372 & 11193.0468958009 \tabularnewline
0.485 & 557088.172332197 & 11019.2501727229 \tabularnewline
0.49 & 557994.519394566 & 10824.9675667035 \tabularnewline
0.495 & 558885.278438536 & 10612.4343720815 \tabularnewline
0.5 & 559759.213331398 & 10385.0160234858 \tabularnewline
0.505 & 560615.361339633 & 10147.1268854695 \tabularnewline
0.51 & 561453.036578217 & 9902.3619939203 \tabularnewline
0.515 & 562271.828058688 & 9653.90431122404 \tabularnewline
0.52 & 563071.5926659 & 9404.11111916632 \tabularnewline
0.525 & 563852.443475167 & 9158.2275487225 \tabularnewline
0.53 & 564614.733880934 & 8918.05205288568 \tabularnewline
0.535 & 565359.038046939 & 8685.95014709184 \tabularnewline
0.54 & 566086.128209068 & 8465.3859099615 \tabularnewline
0.545 & 566796.949369147 & 8257.72522890025 \tabularnewline
0.55 & 567492.591914792 & 8065.10691176387 \tabularnewline
0.555 & 568174.26269111 & 7889.30145280103 \tabularnewline
0.56 & 568843.25503787 & 7730.96548456885 \tabularnewline
0.565 & 569500.918293846 & 7589.95909299194 \tabularnewline
0.57 & 570148.627260025 & 7467.5452428837 \tabularnewline
0.575 & 570787.752106466 & 7363.77745552312 \tabularnewline
0.58 & 571419.6292032 & 7276.57621941958 \tabularnewline
0.585 & 572045.533352727 & 7206.07440301449 \tabularnewline
0.59 & 572666.651897863 & 7150.82968293965 \tabularnewline
0.595 & 573284.061171277 & 7108.8457078478 \tabularnewline
0.6 & 573898.705738619 & 7078.89441926687 \tabularnewline
0.605 & 574511.380862385 & 7057.94948855169 \tabularnewline
0.61 & 575122.718575762 & 7043.76233627407 \tabularnewline
0.615 & 575733.177702139 & 7034.86534468488 \tabularnewline
0.62 & 576343.038085716 & 7027.02566312837 \tabularnewline
0.625 & 576952.399211477 & 7019.49725098704 \tabularnewline
0.63 & 577561.183290149 & 7009.15018390117 \tabularnewline
0.635 & 578169.142768473 & 6994.23796956258 \tabularnewline
0.64 & 578775.87210135 & 6971.67868835966 \tabularnewline
0.645 & 579380.823495657 & 6940.44397269743 \tabularnewline
0.65 & 579983.326212192 & 6898.96196253687 \tabularnewline
0.655 & 580582.608899224 & 6845.80035858241 \tabularnewline
0.66 & 581177.824335741 & 6780.79914456884 \tabularnewline
0.665 & 581768.075891419 & 6702.67663616062 \tabularnewline
0.67 & 582352.444969586 & 6611.92470066915 \tabularnewline
0.675 & 582930.018693672 & 6509.10344686226 \tabularnewline
0.68 & 583499.917129568 & 6393.67128212105 \tabularnewline
0.685 & 584061.319406673 & 6268.24527283357 \tabularnewline
0.69 & 584613.488207284 & 6132.37373618015 \tabularnewline
0.695 & 585155.792232866 & 5988.20705286316 \tabularnewline
0.7 & 585687.726419396 & 5837.49647242795 \tabularnewline
0.705 & 586208.929852581 & 5681.98087277622 \tabularnewline
0.71 & 586719.201515079 & 5524.03702915179 \tabularnewline
0.715 & 587218.514167939 & 5365.02754538733 \tabularnewline
0.72 & 587707.026811946 & 5207.32957150564 \tabularnewline
0.725 & 588185.096275721 & 5053.19622282841 \tabularnewline
0.73 & 588653.288521035 & 4904.34233783897 \tabularnewline
0.735 & 589112.390228385 & 4762.95101733778 \tabularnewline
0.74 & 589563.421116824 & 4631.24900778322 \tabularnewline
0.745 & 590007.647255008 & 4511.7435419219 \tabularnewline
0.75 & 590446.595334852 & 4405.93907574989 \tabularnewline
0.755 & 590882.067511111 & 4316.76331060924 \tabularnewline
0.76 & 591316.155973968 & 4246.88024057092 \tabularnewline
0.765 & 591751.255940079 & 4199.18925007674 \tabularnewline
0.77 & 592190.075252236 & 4175.96051693741 \tabularnewline
0.775 & 592635.638309224 & 4181.26704733708 \tabularnewline
0.78 & 593091.281652933 & 4217.93605065169 \tabularnewline
0.785 & 593560.638272061 & 4289.44282234303 \tabularnewline
0.79 & 594047.607595136 & 4398.07750597661 \tabularnewline
0.795 & 594556.308292751 & 4547.17816709568 \tabularnewline
0.8 & 595091.011434821 & 4737.65750670631 \tabularnewline
0.805 & 595656.052286466 & 4969.72200786098 \tabularnewline
0.81 & 596255.720090104 & 5242.4181440701 \tabularnewline
0.815 & 596894.126562836 & 5552.84739281172 \tabularnewline
0.82 & 597575.055499941 & 5897.45689286087 \tabularnewline
0.825 & 598301.797749135 & 6269.48049303346 \tabularnewline
0.83 & 599076.977804966 & 6661.65628214501 \tabularnewline
0.835 & 599902.38023555 & 7064.86879587694 \tabularnewline
0.84 & 600778.785933328 & 7468.02478251666 \tabularnewline
0.845 & 601705.82959342 & 7860.32087437876 \tabularnewline
0.85 & 602681.890669247 & 8228.52143220837 \tabularnewline
0.855 & 603704.030133779 & 8560.68993417013 \tabularnewline
0.86 & 604767.984495761 & 8843.97725163363 \tabularnewline
0.865 & 605868.226521527 & 9066.73424037277 \tabularnewline
0.87 & 606998.09888244 & 9219.15012777135 \tabularnewline
0.875 & 608150.022449271 & 9292.84671204424 \tabularnewline
0.88 & 609315.775258546 & 9282.85856777994 \tabularnewline
0.885 & 610486.831493725 & 9186.85619930324 \tabularnewline
0.89 & 611654.742544495 & 9006.17174942157 \tabularnewline
0.895 & 612811.534925076 & 8746.55563257493 \tabularnewline
0.9 & 613950.093361334 & 8416.47985528301 \tabularnewline
0.905 & 615064.492713554 & 8028.76732429297 \tabularnewline
0.91 & 616150.240741292 & 7598.65659784367 \tabularnewline
0.915 & 617204.396199897 & 7143.59239447785 \tabularnewline
0.92 & 618225.534344208 & 6681.37879734377 \tabularnewline
0.925 & 619213.54507375 & 6229.67878404633 \tabularnewline
0.93 & 620169.26732793 & 5802.56191558945 \tabularnewline
0.935 & 621093.98541208 & 5409.17758109337 \tabularnewline
0.94 & 621988.835816112 & 5051.62136611758 \tabularnewline
0.945 & 622854.19257787 & 4724.60938757453 \tabularnewline
0.95 & 623689.110373177 & 4414.91622587436 \tabularnewline
0.955 & 624490.90273283 & 4105.16632295598 \tabularnewline
0.96 & 625254.915854427 & 3777.43400199833 \tabularnewline
0.965 & 625974.528800905 & 3417.88092520119 \tabularnewline
0.97 & 626641.377489237 & 3020.45024241509 \tabularnewline
0.975 & 627245.778537629 & 2591.15958443504 \tabularnewline
0.98 & 627777.338390402 & 2149.41658709081 \tabularnewline
0.985 & 628225.784855206 & 1728.50746736964 \tabularnewline
0.99 & 628582.141111743 & 1371.72085157483 \tabularnewline
0.995 & 628840.424969954 & 1119.48396378000 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49235&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]470043.663341242[/C][C]8945.0978160176[/C][/ROW]
[ROW][C]0.01[/C][C]471587.403027535[/C][C]9109.9595434062[/C][/ROW]
[ROW][C]0.015[/C][C]473520.982250062[/C][C]9322.5362492932[/C][/ROW]
[ROW][C]0.02[/C][C]475713.242686272[/C][C]9520.36294770301[/C][/ROW]
[ROW][C]0.025[/C][C]478039.43320031[/C][C]9635.82460721653[/C][/ROW]
[ROW][C]0.03[/C][C]480396.466043244[/C][C]9627.68468274668[/C][/ROW]
[ROW][C]0.035[/C][C]482708.267540777[/C][C]9491.01639427448[/C][/ROW]
[ROW][C]0.04[/C][C]484924.693139441[/C][C]9249.91169272742[/C][/ROW]
[ROW][C]0.045[/C][C]487017.184860838[/C][C]8943.15651926288[/C][/ROW]
[ROW][C]0.05[/C][C]488973.424047932[/C][C]8609.98489756693[/C][/ROW]
[ROW][C]0.055[/C][C]490792.278791507[/C][C]8281.18140183147[/C][/ROW]
[ROW][C]0.06[/C][C]492479.627473161[/C][C]7976.04033320942[/C][/ROW]
[ROW][C]0.065[/C][C]494045.199722057[/C][C]7701.9315278617[/C][/ROW]
[ROW][C]0.07[/C][C]495500.354363681[/C][C]7457.62724063153[/C][/ROW]
[ROW][C]0.075[/C][C]496856.629248587[/C][C]7238.0741235828[/C][/ROW]
[ROW][C]0.08[/C][C]498124.884366409[/C][C]7036.83355159907[/C][/ROW]
[ROW][C]0.085[/C][C]499314.876286895[/C][C]6847.97592655486[/C][/ROW]
[ROW][C]0.09[/C][C]500435.127926568[/C][C]6667.33228244878[/C][/ROW]
[ROW][C]0.095[/C][C]501492.984468528[/C][C]6493.51521411717[/C][/ROW]
[ROW][C]0.1[/C][C]502494.771324182[/C][C]6326.32256334064[/C][/ROW]
[ROW][C]0.105[/C][C]503445.992633935[/C][C]6167.09349968222[/C][/ROW]
[ROW][C]0.11[/C][C]504351.528592714[/C][C]6017.36355316497[/C][/ROW]
[ROW][C]0.115[/C][C]505215.806448098[/C][C]5880.04412949051[/C][/ROW]
[ROW][C]0.12[/C][C]506042.933037719[/C][C]5757.39916881253[/C][/ROW]
[ROW][C]0.125[/C][C]506836.7861604[/C][C]5651.23583901824[/C][/ROW]
[ROW][C]0.13[/C][C]507601.068188927[/C][C]5563.31689560233[/C][/ROW]
[ROW][C]0.135[/C][C]508339.328669236[/C][C]5494.82849645954[/C][/ROW]
[ROW][C]0.14[/C][C]509054.963884125[/C][C]5445.73542561965[/C][/ROW]
[ROW][C]0.145[/C][C]509751.201170813[/C][C]5416.45272803394[/C][/ROW]
[ROW][C]0.15[/C][C]510431.074767082[/C][C]5405.76488648133[/C][/ROW]
[ROW][C]0.155[/C][C]511097.398583096[/C][C]5412.37538814315[/C][/ROW]
[ROW][C]0.16[/C][C]511752.739874013[/C][C]5434.75054722679[/C][/ROW]
[ROW][C]0.165[/C][C]512399.396513011[/C][C]5471.21463361067[/C][/ROW]
[ROW][C]0.17[/C][C]513039.379525451[/C][C]5518.75307533322[/C][/ROW]
[ROW][C]0.175[/C][C]513674.401763327[/C][C]5575.34365588707[/C][/ROW]
[ROW][C]0.18[/C][C]514305.873052251[/C][C]5638.30574231727[/C][/ROW]
[ROW][C]0.185[/C][C]514934.901786828[/C][C]5705.22416954698[/C][/ROW]
[ROW][C]0.19[/C][C]515562.302732729[/C][C]5774.0360738118[/C][/ROW]
[ROW][C]0.195[/C][C]516188.610666071[/C][C]5841.33953274059[/C][/ROW]
[ROW][C]0.2[/C][C]516814.099401599[/C][C]5905.16441297834[/C][/ROW]
[ROW][C]0.205[/C][C]517438.805699995[/C][C]5964.00405254233[/C][/ROW]
[ROW][C]0.21[/C][C]518062.557482151[/C][C]6015.61745310629[/C][/ROW]
[ROW][C]0.215[/C][C]518685.005705399[/C][C]6057.72041810156[/C][/ROW]
[ROW][C]0.22[/C][C]519305.659173906[/C][C]6090.69728696102[/C][/ROW]
[ROW][C]0.225[/C][C]519923.921469255[/C][C]6111.72126839185[/C][/ROW]
[ROW][C]0.23[/C][C]520539.129108844[/C][C]6122.00098289258[/C][/ROW]
[ROW][C]0.235[/C][C]521150.589981364[/C][C]6121.56683210964[/C][/ROW]
[ROW][C]0.24[/C][C]521757.621081932[/C][C]6109.84432602411[/C][/ROW]
[ROW][C]0.245[/C][C]522359.58458291[/C][C]6088.20179150647[/C][/ROW]
[ROW][C]0.25[/C][C]522955.921334354[/C][C]6058.93720238652[/C][/ROW]
[ROW][C]0.255[/C][C]523546.180989734[/C][C]6022.31567740683[/C][/ROW]
[ROW][C]0.26[/C][C]524130.048092385[/C][C]5980.97783250724[/C][/ROW]
[ROW][C]0.265[/C][C]524707.363626421[/C][C]5937.54972234535[/C][/ROW]
[ROW][C]0.27[/C][C]525278.14171975[/C][C]5893.53402515132[/C][/ROW]
[ROW][C]0.275[/C][C]525842.581372265[/C][C]5851.7372250135[/C][/ROW]
[ROW][C]0.28[/C][C]526401.073255306[/C][C]5814.49296654332[/C][/ROW]
[ROW][C]0.285[/C][C]526954.201776887[/C][C]5785.63215311056[/C][/ROW]
[ROW][C]0.29[/C][C]527502.742721896[/C][C]5765.9032721963[/C][/ROW]
[ROW][C]0.295[/C][C]528047.656852018[/C][C]5758.37350852445[/C][/ROW]
[ROW][C]0.3[/C][C]528590.079885762[/C][C]5765.08647109565[/C][/ROW]
[ROW][C]0.305[/C][C]529131.309277529[/C][C]5787.80258889594[/C][/ROW]
[ROW][C]0.31[/C][C]529672.788183137[/C][C]5829.05975462476[/C][/ROW]
[ROW][C]0.315[/C][C]530216.086946902[/C][C]5889.20981634757[/C][/ROW]
[ROW][C]0.32[/C][C]530762.88238344[/C][C]5970.66064304972[/C][/ROW]
[ROW][C]0.325[/C][C]531314.935067147[/C][C]6074.49348660472[/C][/ROW]
[ROW][C]0.33[/C][C]531874.064794377[/C][C]6201.24717469121[/C][/ROW]
[ROW][C]0.335[/C][C]532442.124356373[/C][C]6349.65259609286[/C][/ROW]
[ROW][C]0.34[/C][C]533020.971760789[/C][C]6522.33487622246[/C][/ROW]
[ROW][C]0.345[/C][C]533612.441068964[/C][C]6716.97623062377[/C][/ROW]
[ROW][C]0.35[/C][C]534218.312074047[/C][C]6933.51074688847[/C][/ROW]
[ROW][C]0.355[/C][C]534840.279127633[/C][C]7170.85190693419[/C][/ROW]
[ROW][C]0.36[/C][C]535479.91952278[/C][C]7427.50961200195[/C][/ROW]
[ROW][C]0.365[/C][C]536138.661950118[/C][C]7700.37968728467[/C][/ROW]
[ROW][C]0.37[/C][C]536817.755650725[/C][C]7988.06345051015[/C][/ROW]
[ROW][C]0.375[/C][C]537518.24098389[/C][C]8286.77962493517[/C][/ROW]
[ROW][C]0.38[/C][C]538240.922199527[/C][C]8593.74069313139[/C][/ROW]
[ROW][C]0.385[/C][C]538986.343245028[/C][C]8905.45587193365[/C][/ROW]
[ROW][C]0.39[/C][C]539754.76743815[/C][C]9217.2620246926[/C][/ROW]
[ROW][C]0.395[/C][C]540546.161797102[/C][C]9526.07989539036[/C][/ROW]
[ROW][C]0.4[/C][C]541360.186735182[/C][C]9827.4020633237[/C][/ROW]
[ROW][C]0.405[/C][C]542196.191702257[/C][C]10116.8172893851[/C][/ROW]
[ROW][C]0.41[/C][C]543053.217193779[/C][C]10390.3990846974[/C][/ROW]
[ROW][C]0.415[/C][C]543930.00335719[/C][C]10644.9798369035[/C][/ROW]
[ROW][C]0.42[/C][C]544825.00521494[/C][C]10876.9281671648[/C][/ROW]
[ROW][C]0.425[/C][C]545736.414303273[/C][C]11081.9203623633[/C][/ROW]
[ROW][C]0.43[/C][C]546662.186307718[/C][C]11258.3790862956[/C][/ROW]
[ROW][C]0.435[/C][C]547600.074070857[/C][C]11403.4273164194[/C][/ROW]
[ROW][C]0.44[/C][C]548547.665165451[/C][C]11515.0935818913[/C][/ROW]
[ROW][C]0.445[/C][C]549502.423075218[/C][C]11593.3350188599[/C][/ROW]
[ROW][C]0.45[/C][C]550461.730913046[/C][C]11635.7824911523[/C][/ROW]
[ROW][C]0.455[/C][C]551422.936536763[/C][C]11643.1548343516[/C][/ROW]
[ROW][C]0.46[/C][C]552383.397897629[/C][C]11616.0793765296[/C][/ROW]
[ROW][C]0.465[/C][C]553340.527476049[/C][C]11555.8115117324[/C][/ROW]
[ROW][C]0.47[/C][C]554291.834719803[/C][C]11463.7988034485[/C][/ROW]
[ROW][C]0.475[/C][C]555234.965497482[/C][C]11341.6718958840[/C][/ROW]
[ROW][C]0.48[/C][C]556167.737707372[/C][C]11193.0468958009[/C][/ROW]
[ROW][C]0.485[/C][C]557088.172332197[/C][C]11019.2501727229[/C][/ROW]
[ROW][C]0.49[/C][C]557994.519394566[/C][C]10824.9675667035[/C][/ROW]
[ROW][C]0.495[/C][C]558885.278438536[/C][C]10612.4343720815[/C][/ROW]
[ROW][C]0.5[/C][C]559759.213331398[/C][C]10385.0160234858[/C][/ROW]
[ROW][C]0.505[/C][C]560615.361339633[/C][C]10147.1268854695[/C][/ROW]
[ROW][C]0.51[/C][C]561453.036578217[/C][C]9902.3619939203[/C][/ROW]
[ROW][C]0.515[/C][C]562271.828058688[/C][C]9653.90431122404[/C][/ROW]
[ROW][C]0.52[/C][C]563071.5926659[/C][C]9404.11111916632[/C][/ROW]
[ROW][C]0.525[/C][C]563852.443475167[/C][C]9158.2275487225[/C][/ROW]
[ROW][C]0.53[/C][C]564614.733880934[/C][C]8918.05205288568[/C][/ROW]
[ROW][C]0.535[/C][C]565359.038046939[/C][C]8685.95014709184[/C][/ROW]
[ROW][C]0.54[/C][C]566086.128209068[/C][C]8465.3859099615[/C][/ROW]
[ROW][C]0.545[/C][C]566796.949369147[/C][C]8257.72522890025[/C][/ROW]
[ROW][C]0.55[/C][C]567492.591914792[/C][C]8065.10691176387[/C][/ROW]
[ROW][C]0.555[/C][C]568174.26269111[/C][C]7889.30145280103[/C][/ROW]
[ROW][C]0.56[/C][C]568843.25503787[/C][C]7730.96548456885[/C][/ROW]
[ROW][C]0.565[/C][C]569500.918293846[/C][C]7589.95909299194[/C][/ROW]
[ROW][C]0.57[/C][C]570148.627260025[/C][C]7467.5452428837[/C][/ROW]
[ROW][C]0.575[/C][C]570787.752106466[/C][C]7363.77745552312[/C][/ROW]
[ROW][C]0.58[/C][C]571419.6292032[/C][C]7276.57621941958[/C][/ROW]
[ROW][C]0.585[/C][C]572045.533352727[/C][C]7206.07440301449[/C][/ROW]
[ROW][C]0.59[/C][C]572666.651897863[/C][C]7150.82968293965[/C][/ROW]
[ROW][C]0.595[/C][C]573284.061171277[/C][C]7108.8457078478[/C][/ROW]
[ROW][C]0.6[/C][C]573898.705738619[/C][C]7078.89441926687[/C][/ROW]
[ROW][C]0.605[/C][C]574511.380862385[/C][C]7057.94948855169[/C][/ROW]
[ROW][C]0.61[/C][C]575122.718575762[/C][C]7043.76233627407[/C][/ROW]
[ROW][C]0.615[/C][C]575733.177702139[/C][C]7034.86534468488[/C][/ROW]
[ROW][C]0.62[/C][C]576343.038085716[/C][C]7027.02566312837[/C][/ROW]
[ROW][C]0.625[/C][C]576952.399211477[/C][C]7019.49725098704[/C][/ROW]
[ROW][C]0.63[/C][C]577561.183290149[/C][C]7009.15018390117[/C][/ROW]
[ROW][C]0.635[/C][C]578169.142768473[/C][C]6994.23796956258[/C][/ROW]
[ROW][C]0.64[/C][C]578775.87210135[/C][C]6971.67868835966[/C][/ROW]
[ROW][C]0.645[/C][C]579380.823495657[/C][C]6940.44397269743[/C][/ROW]
[ROW][C]0.65[/C][C]579983.326212192[/C][C]6898.96196253687[/C][/ROW]
[ROW][C]0.655[/C][C]580582.608899224[/C][C]6845.80035858241[/C][/ROW]
[ROW][C]0.66[/C][C]581177.824335741[/C][C]6780.79914456884[/C][/ROW]
[ROW][C]0.665[/C][C]581768.075891419[/C][C]6702.67663616062[/C][/ROW]
[ROW][C]0.67[/C][C]582352.444969586[/C][C]6611.92470066915[/C][/ROW]
[ROW][C]0.675[/C][C]582930.018693672[/C][C]6509.10344686226[/C][/ROW]
[ROW][C]0.68[/C][C]583499.917129568[/C][C]6393.67128212105[/C][/ROW]
[ROW][C]0.685[/C][C]584061.319406673[/C][C]6268.24527283357[/C][/ROW]
[ROW][C]0.69[/C][C]584613.488207284[/C][C]6132.37373618015[/C][/ROW]
[ROW][C]0.695[/C][C]585155.792232866[/C][C]5988.20705286316[/C][/ROW]
[ROW][C]0.7[/C][C]585687.726419396[/C][C]5837.49647242795[/C][/ROW]
[ROW][C]0.705[/C][C]586208.929852581[/C][C]5681.98087277622[/C][/ROW]
[ROW][C]0.71[/C][C]586719.201515079[/C][C]5524.03702915179[/C][/ROW]
[ROW][C]0.715[/C][C]587218.514167939[/C][C]5365.02754538733[/C][/ROW]
[ROW][C]0.72[/C][C]587707.026811946[/C][C]5207.32957150564[/C][/ROW]
[ROW][C]0.725[/C][C]588185.096275721[/C][C]5053.19622282841[/C][/ROW]
[ROW][C]0.73[/C][C]588653.288521035[/C][C]4904.34233783897[/C][/ROW]
[ROW][C]0.735[/C][C]589112.390228385[/C][C]4762.95101733778[/C][/ROW]
[ROW][C]0.74[/C][C]589563.421116824[/C][C]4631.24900778322[/C][/ROW]
[ROW][C]0.745[/C][C]590007.647255008[/C][C]4511.7435419219[/C][/ROW]
[ROW][C]0.75[/C][C]590446.595334852[/C][C]4405.93907574989[/C][/ROW]
[ROW][C]0.755[/C][C]590882.067511111[/C][C]4316.76331060924[/C][/ROW]
[ROW][C]0.76[/C][C]591316.155973968[/C][C]4246.88024057092[/C][/ROW]
[ROW][C]0.765[/C][C]591751.255940079[/C][C]4199.18925007674[/C][/ROW]
[ROW][C]0.77[/C][C]592190.075252236[/C][C]4175.96051693741[/C][/ROW]
[ROW][C]0.775[/C][C]592635.638309224[/C][C]4181.26704733708[/C][/ROW]
[ROW][C]0.78[/C][C]593091.281652933[/C][C]4217.93605065169[/C][/ROW]
[ROW][C]0.785[/C][C]593560.638272061[/C][C]4289.44282234303[/C][/ROW]
[ROW][C]0.79[/C][C]594047.607595136[/C][C]4398.07750597661[/C][/ROW]
[ROW][C]0.795[/C][C]594556.308292751[/C][C]4547.17816709568[/C][/ROW]
[ROW][C]0.8[/C][C]595091.011434821[/C][C]4737.65750670631[/C][/ROW]
[ROW][C]0.805[/C][C]595656.052286466[/C][C]4969.72200786098[/C][/ROW]
[ROW][C]0.81[/C][C]596255.720090104[/C][C]5242.4181440701[/C][/ROW]
[ROW][C]0.815[/C][C]596894.126562836[/C][C]5552.84739281172[/C][/ROW]
[ROW][C]0.82[/C][C]597575.055499941[/C][C]5897.45689286087[/C][/ROW]
[ROW][C]0.825[/C][C]598301.797749135[/C][C]6269.48049303346[/C][/ROW]
[ROW][C]0.83[/C][C]599076.977804966[/C][C]6661.65628214501[/C][/ROW]
[ROW][C]0.835[/C][C]599902.38023555[/C][C]7064.86879587694[/C][/ROW]
[ROW][C]0.84[/C][C]600778.785933328[/C][C]7468.02478251666[/C][/ROW]
[ROW][C]0.845[/C][C]601705.82959342[/C][C]7860.32087437876[/C][/ROW]
[ROW][C]0.85[/C][C]602681.890669247[/C][C]8228.52143220837[/C][/ROW]
[ROW][C]0.855[/C][C]603704.030133779[/C][C]8560.68993417013[/C][/ROW]
[ROW][C]0.86[/C][C]604767.984495761[/C][C]8843.97725163363[/C][/ROW]
[ROW][C]0.865[/C][C]605868.226521527[/C][C]9066.73424037277[/C][/ROW]
[ROW][C]0.87[/C][C]606998.09888244[/C][C]9219.15012777135[/C][/ROW]
[ROW][C]0.875[/C][C]608150.022449271[/C][C]9292.84671204424[/C][/ROW]
[ROW][C]0.88[/C][C]609315.775258546[/C][C]9282.85856777994[/C][/ROW]
[ROW][C]0.885[/C][C]610486.831493725[/C][C]9186.85619930324[/C][/ROW]
[ROW][C]0.89[/C][C]611654.742544495[/C][C]9006.17174942157[/C][/ROW]
[ROW][C]0.895[/C][C]612811.534925076[/C][C]8746.55563257493[/C][/ROW]
[ROW][C]0.9[/C][C]613950.093361334[/C][C]8416.47985528301[/C][/ROW]
[ROW][C]0.905[/C][C]615064.492713554[/C][C]8028.76732429297[/C][/ROW]
[ROW][C]0.91[/C][C]616150.240741292[/C][C]7598.65659784367[/C][/ROW]
[ROW][C]0.915[/C][C]617204.396199897[/C][C]7143.59239447785[/C][/ROW]
[ROW][C]0.92[/C][C]618225.534344208[/C][C]6681.37879734377[/C][/ROW]
[ROW][C]0.925[/C][C]619213.54507375[/C][C]6229.67878404633[/C][/ROW]
[ROW][C]0.93[/C][C]620169.26732793[/C][C]5802.56191558945[/C][/ROW]
[ROW][C]0.935[/C][C]621093.98541208[/C][C]5409.17758109337[/C][/ROW]
[ROW][C]0.94[/C][C]621988.835816112[/C][C]5051.62136611758[/C][/ROW]
[ROW][C]0.945[/C][C]622854.19257787[/C][C]4724.60938757453[/C][/ROW]
[ROW][C]0.95[/C][C]623689.110373177[/C][C]4414.91622587436[/C][/ROW]
[ROW][C]0.955[/C][C]624490.90273283[/C][C]4105.16632295598[/C][/ROW]
[ROW][C]0.96[/C][C]625254.915854427[/C][C]3777.43400199833[/C][/ROW]
[ROW][C]0.965[/C][C]625974.528800905[/C][C]3417.88092520119[/C][/ROW]
[ROW][C]0.97[/C][C]626641.377489237[/C][C]3020.45024241509[/C][/ROW]
[ROW][C]0.975[/C][C]627245.778537629[/C][C]2591.15958443504[/C][/ROW]
[ROW][C]0.98[/C][C]627777.338390402[/C][C]2149.41658709081[/C][/ROW]
[ROW][C]0.985[/C][C]628225.784855206[/C][C]1728.50746736964[/C][/ROW]
[ROW][C]0.99[/C][C]628582.141111743[/C][C]1371.72085157483[/C][/ROW]
[ROW][C]0.995[/C][C]628840.424969954[/C][C]1119.48396378000[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49235&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49235&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.005470043.6633412428945.0978160176
0.01471587.4030275359109.9595434062
0.015473520.9822500629322.5362492932
0.02475713.2426862729520.36294770301
0.025478039.433200319635.82460721653
0.03480396.4660432449627.68468274668
0.035482708.2675407779491.01639427448
0.04484924.6931394419249.91169272742
0.045487017.1848608388943.15651926288
0.05488973.4240479328609.98489756693
0.055490792.2787915078281.18140183147
0.06492479.6274731617976.04033320942
0.065494045.1997220577701.9315278617
0.07495500.3543636817457.62724063153
0.075496856.6292485877238.0741235828
0.08498124.8843664097036.83355159907
0.085499314.8762868956847.97592655486
0.09500435.1279265686667.33228244878
0.095501492.9844685286493.51521411717
0.1502494.7713241826326.32256334064
0.105503445.9926339356167.09349968222
0.11504351.5285927146017.36355316497
0.115505215.8064480985880.04412949051
0.12506042.9330377195757.39916881253
0.125506836.78616045651.23583901824
0.13507601.0681889275563.31689560233
0.135508339.3286692365494.82849645954
0.14509054.9638841255445.73542561965
0.145509751.2011708135416.45272803394
0.15510431.0747670825405.76488648133
0.155511097.3985830965412.37538814315
0.16511752.7398740135434.75054722679
0.165512399.3965130115471.21463361067
0.17513039.3795254515518.75307533322
0.175513674.4017633275575.34365588707
0.18514305.8730522515638.30574231727
0.185514934.9017868285705.22416954698
0.19515562.3027327295774.0360738118
0.195516188.6106660715841.33953274059
0.2516814.0994015995905.16441297834
0.205517438.8056999955964.00405254233
0.21518062.5574821516015.61745310629
0.215518685.0057053996057.72041810156
0.22519305.6591739066090.69728696102
0.225519923.9214692556111.72126839185
0.23520539.1291088446122.00098289258
0.235521150.5899813646121.56683210964
0.24521757.6210819326109.84432602411
0.245522359.584582916088.20179150647
0.25522955.9213343546058.93720238652
0.255523546.1809897346022.31567740683
0.26524130.0480923855980.97783250724
0.265524707.3636264215937.54972234535
0.27525278.141719755893.53402515132
0.275525842.5813722655851.7372250135
0.28526401.0732553065814.49296654332
0.285526954.2017768875785.63215311056
0.29527502.7427218965765.9032721963
0.295528047.6568520185758.37350852445
0.3528590.0798857625765.08647109565
0.305529131.3092775295787.80258889594
0.31529672.7881831375829.05975462476
0.315530216.0869469025889.20981634757
0.32530762.882383445970.66064304972
0.325531314.9350671476074.49348660472
0.33531874.0647943776201.24717469121
0.335532442.1243563736349.65259609286
0.34533020.9717607896522.33487622246
0.345533612.4410689646716.97623062377
0.35534218.3120740476933.51074688847
0.355534840.2791276337170.85190693419
0.36535479.919522787427.50961200195
0.365536138.6619501187700.37968728467
0.37536817.7556507257988.06345051015
0.375537518.240983898286.77962493517
0.38538240.9221995278593.74069313139
0.385538986.3432450288905.45587193365
0.39539754.767438159217.2620246926
0.395540546.1617971029526.07989539036
0.4541360.1867351829827.4020633237
0.405542196.19170225710116.8172893851
0.41543053.21719377910390.3990846974
0.415543930.0033571910644.9798369035
0.42544825.0052149410876.9281671648
0.425545736.41430327311081.9203623633
0.43546662.18630771811258.3790862956
0.435547600.07407085711403.4273164194
0.44548547.66516545111515.0935818913
0.445549502.42307521811593.3350188599
0.45550461.73091304611635.7824911523
0.455551422.93653676311643.1548343516
0.46552383.39789762911616.0793765296
0.465553340.52747604911555.8115117324
0.47554291.83471980311463.7988034485
0.475555234.96549748211341.6718958840
0.48556167.73770737211193.0468958009
0.485557088.17233219711019.2501727229
0.49557994.51939456610824.9675667035
0.495558885.27843853610612.4343720815
0.5559759.21333139810385.0160234858
0.505560615.36133963310147.1268854695
0.51561453.0365782179902.3619939203
0.515562271.8280586889653.90431122404
0.52563071.59266599404.11111916632
0.525563852.4434751679158.2275487225
0.53564614.7338809348918.05205288568
0.535565359.0380469398685.95014709184
0.54566086.1282090688465.3859099615
0.545566796.9493691478257.72522890025
0.55567492.5919147928065.10691176387
0.555568174.262691117889.30145280103
0.56568843.255037877730.96548456885
0.565569500.9182938467589.95909299194
0.57570148.6272600257467.5452428837
0.575570787.7521064667363.77745552312
0.58571419.62920327276.57621941958
0.585572045.5333527277206.07440301449
0.59572666.6518978637150.82968293965
0.595573284.0611712777108.8457078478
0.6573898.7057386197078.89441926687
0.605574511.3808623857057.94948855169
0.61575122.7185757627043.76233627407
0.615575733.1777021397034.86534468488
0.62576343.0380857167027.02566312837
0.625576952.3992114777019.49725098704
0.63577561.1832901497009.15018390117
0.635578169.1427684736994.23796956258
0.64578775.872101356971.67868835966
0.645579380.8234956576940.44397269743
0.65579983.3262121926898.96196253687
0.655580582.6088992246845.80035858241
0.66581177.8243357416780.79914456884
0.665581768.0758914196702.67663616062
0.67582352.4449695866611.92470066915
0.675582930.0186936726509.10344686226
0.68583499.9171295686393.67128212105
0.685584061.3194066736268.24527283357
0.69584613.4882072846132.37373618015
0.695585155.7922328665988.20705286316
0.7585687.7264193965837.49647242795
0.705586208.9298525815681.98087277622
0.71586719.2015150795524.03702915179
0.715587218.5141679395365.02754538733
0.72587707.0268119465207.32957150564
0.725588185.0962757215053.19622282841
0.73588653.2885210354904.34233783897
0.735589112.3902283854762.95101733778
0.74589563.4211168244631.24900778322
0.745590007.6472550084511.7435419219
0.75590446.5953348524405.93907574989
0.755590882.0675111114316.76331060924
0.76591316.1559739684246.88024057092
0.765591751.2559400794199.18925007674
0.77592190.0752522364175.96051693741
0.775592635.6383092244181.26704733708
0.78593091.2816529334217.93605065169
0.785593560.6382720614289.44282234303
0.79594047.6075951364398.07750597661
0.795594556.3082927514547.17816709568
0.8595091.0114348214737.65750670631
0.805595656.0522864664969.72200786098
0.81596255.7200901045242.4181440701
0.815596894.1265628365552.84739281172
0.82597575.0554999415897.45689286087
0.825598301.7977491356269.48049303346
0.83599076.9778049666661.65628214501
0.835599902.380235557064.86879587694
0.84600778.7859333287468.02478251666
0.845601705.829593427860.32087437876
0.85602681.8906692478228.52143220837
0.855603704.0301337798560.68993417013
0.86604767.9844957618843.97725163363
0.865605868.2265215279066.73424037277
0.87606998.098882449219.15012777135
0.875608150.0224492719292.84671204424
0.88609315.7752585469282.85856777994
0.885610486.8314937259186.85619930324
0.89611654.7425444959006.17174942157
0.895612811.5349250768746.55563257493
0.9613950.0933613348416.47985528301
0.905615064.4927135548028.76732429297
0.91616150.2407412927598.65659784367
0.915617204.3961998977143.59239447785
0.92618225.5343442086681.37879734377
0.925619213.545073756229.67878404633
0.93620169.267327935802.56191558945
0.935621093.985412085409.17758109337
0.94621988.8358161125051.62136611758
0.945622854.192577874724.60938757453
0.95623689.1103731774414.91622587436
0.955624490.902732834105.16632295598
0.96625254.9158544273777.43400199833
0.965625974.5288009053417.88092520119
0.97626641.3774892373020.45024241509
0.975627245.7785376292591.15958443504
0.98627777.3383904022149.41658709081
0.985628225.7848552061728.50746736964
0.99628582.1411117431371.72085157483
0.995628840.4249699541119.48396378000


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 36 ;
Parameters (R input):
par1 = 0.005 ; par2 = 0.995 ; par3 = 0.005 ;
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')