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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 12 Feb 2015 11:46:32 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/12/t1423741706k91uqglys0z1evj.htm/, Retrieved Sat, 18 May 2024 01:27:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277108, Retrieved Sat, 18 May 2024 01:27:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell-Davis per...] [2015-02-12 11:46:32] [fe7f0d9da4a60fe1aade911e6a24ddc7] [Current]
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Dataseries X:
2.08
2.09
2.36
2.99
2.75
1.58
1.69
1.3
1.97
1.84
1.96
1.86
2.75
2.62
2.41
3.61
2.03
1.45
1.4
1.3
1.58
2.1
2.27
2.54
2.55
2.05
2.32
2.6
2.1
1.61
1.55
1.12
1.39
2.18
1.94
2.27
2.41
2.2
2.58
2.9
2.12
1.34
1.07
0.86
1
1.54
1.29
1.44
2.6
2.77
3.31
3.2
2.07
1.42
1.43
1.28
1.59
1.68
2.01
2.52
2.74
3.06
2.69
2.32
1.67
1.04
0.98
0.86
0.97
1.3
1.82
1.99
2.7
2.86
2.91
2.56
2.05
1.62
1.26
1.44
1.27
1.64
1.84
2.1
2.79
2.84
2.76
2.67
2.1
1.55
1.42
1.12
1.12
1.41
1.56
1.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277108&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277108&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.874934348214080.037279676239609
0.020.9079098826989110.061268653041093
0.030.9476170369901310.0613894683236067
0.040.9847088259505740.0580770196283525
0.051.017668883669470.0609590318746678
0.061.048576823222980.0672881120549168
0.071.079196587828690.0739786661278659
0.081.110099581962190.0797856080698175
0.091.141058873271650.0837143556388282
0.11.171435439077160.0846487345952957
0.111.200415786978160.0820534904044407
0.121.227251243162260.0765564696253784
0.131.251498240754470.0697901076371937
0.141.273148922102870.0636708258053713
0.151.292585284807110.0595436946812436
0.161.31039627548650.0576884964602527
0.171.327162924573270.0574374065854193
0.181.343308719625770.0577999215856981
0.191.359057473983690.0580286866869337
0.21.374482483611230.0578631830300038
0.211.389597555345330.0574996925544295
0.221.404438434768680.0573926443629056
0.231.41910252687630.0579745851848375
0.241.433740940887430.0594403467547959
0.251.44851783877550.061653306554112
0.261.463561741537720.064225108587283
0.271.47893156990970.0666918950230978
0.281.494610456590330.068687205757811
0.291.510528029921980.0700566416163388
0.31.526601667166410.0709232434125299
0.311.54278201113750.0716277002859489
0.321.559088416086040.0726510836583845
0.331.575624629477520.0744846205308332
0.341.592571620700110.0774927202261571
0.351.610160716302210.0818292625576727
0.361.628634482646160.0873933377306186
0.371.648204486900550.093865181637036
0.381.669014397103190.100783717205258
0.391.691114580513140.107611168504197
0.41.714451289540210.113814644651911
0.411.738870447830630.118935883990182
0.421.764133533590270.122632194874132
0.431.789941463265030.124690981238268
0.441.815961856263860.125049620008424
0.451.841855541009320.123747498931365
0.461.867299368476690.120922985247302
0.471.892003918655950.116777355751409
0.481.915726090119750.111553728064053
0.491.938277538467230.105519563062602
0.51.959530348712190.0989625054409747
0.511.979421238574580.092192450897314
0.521.997955140906020.0855330162577268
0.532.015208360732840.0793266070791732
0.542.031330769303770.0739368354145556
0.552.046545794819170.0697368197598311
0.562.061146446339210.0670871469435358
0.572.075485475074770.0662976686593229
0.582.089958259294280.0675707549205797
0.592.104978207700820.0709275387003657
0.62.120946273235050.0761872671268203
0.612.138218101078520.0829649740876785
0.622.157073715582940.0907506208373904
0.632.177694807350450.0989683277678015
0.642.20015327742180.107051171400142
0.652.224411988504080.114515025053504
0.662.250335547080290.120962792600526
0.672.277706629671520.126128589480251
0.682.306242937956110.12981068017525
0.692.335611664496350.131876726734557
0.72.365441682721620.132207555856442
0.712.395336964539430.130717168726869
0.722.424896143181640.12740092305813
0.732.453741473371430.122384012150488
0.742.481555855293350.115982652105711
0.752.508120788611270.108707786935107
0.762.533343803123430.101206159891562
0.772.55726362965390.0941370099790183
0.782.580026318312780.0880043800981539
0.792.601834750643690.0830158367812705
0.82.62288457653960.0790176072559528
0.812.643307513097190.0755676639313731
0.822.663144487595540.0721346919558918
0.832.682364293862520.0683356109047252
0.842.700928865101570.0641312382370456
0.852.718887577254620.0599135042081325
0.862.736466817301950.0564523153788754
0.872.754116193328910.0546477200267019
0.882.772487572310920.0551248828826909
0.892.792359954633570.0578935758729972
0.92.814570927087480.0624140212377248
0.912.840045455892520.0681616233525933
0.922.869987268710430.07534981902124
0.932.906196827553770.0851635036544446
0.942.951344590422680.0990408227084267
0.953.009031902282360.117044453248114
0.963.08396656600940.136686981516832
0.973.183377224771860.155205845043834
0.983.317609388638090.180338829855434
0.993.482397265525970.234713596897537

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.87493434821408 & 0.037279676239609 \tabularnewline
0.02 & 0.907909882698911 & 0.061268653041093 \tabularnewline
0.03 & 0.947617036990131 & 0.0613894683236067 \tabularnewline
0.04 & 0.984708825950574 & 0.0580770196283525 \tabularnewline
0.05 & 1.01766888366947 & 0.0609590318746678 \tabularnewline
0.06 & 1.04857682322298 & 0.0672881120549168 \tabularnewline
0.07 & 1.07919658782869 & 0.0739786661278659 \tabularnewline
0.08 & 1.11009958196219 & 0.0797856080698175 \tabularnewline
0.09 & 1.14105887327165 & 0.0837143556388282 \tabularnewline
0.1 & 1.17143543907716 & 0.0846487345952957 \tabularnewline
0.11 & 1.20041578697816 & 0.0820534904044407 \tabularnewline
0.12 & 1.22725124316226 & 0.0765564696253784 \tabularnewline
0.13 & 1.25149824075447 & 0.0697901076371937 \tabularnewline
0.14 & 1.27314892210287 & 0.0636708258053713 \tabularnewline
0.15 & 1.29258528480711 & 0.0595436946812436 \tabularnewline
0.16 & 1.3103962754865 & 0.0576884964602527 \tabularnewline
0.17 & 1.32716292457327 & 0.0574374065854193 \tabularnewline
0.18 & 1.34330871962577 & 0.0577999215856981 \tabularnewline
0.19 & 1.35905747398369 & 0.0580286866869337 \tabularnewline
0.2 & 1.37448248361123 & 0.0578631830300038 \tabularnewline
0.21 & 1.38959755534533 & 0.0574996925544295 \tabularnewline
0.22 & 1.40443843476868 & 0.0573926443629056 \tabularnewline
0.23 & 1.4191025268763 & 0.0579745851848375 \tabularnewline
0.24 & 1.43374094088743 & 0.0594403467547959 \tabularnewline
0.25 & 1.4485178387755 & 0.061653306554112 \tabularnewline
0.26 & 1.46356174153772 & 0.064225108587283 \tabularnewline
0.27 & 1.4789315699097 & 0.0666918950230978 \tabularnewline
0.28 & 1.49461045659033 & 0.068687205757811 \tabularnewline
0.29 & 1.51052802992198 & 0.0700566416163388 \tabularnewline
0.3 & 1.52660166716641 & 0.0709232434125299 \tabularnewline
0.31 & 1.5427820111375 & 0.0716277002859489 \tabularnewline
0.32 & 1.55908841608604 & 0.0726510836583845 \tabularnewline
0.33 & 1.57562462947752 & 0.0744846205308332 \tabularnewline
0.34 & 1.59257162070011 & 0.0774927202261571 \tabularnewline
0.35 & 1.61016071630221 & 0.0818292625576727 \tabularnewline
0.36 & 1.62863448264616 & 0.0873933377306186 \tabularnewline
0.37 & 1.64820448690055 & 0.093865181637036 \tabularnewline
0.38 & 1.66901439710319 & 0.100783717205258 \tabularnewline
0.39 & 1.69111458051314 & 0.107611168504197 \tabularnewline
0.4 & 1.71445128954021 & 0.113814644651911 \tabularnewline
0.41 & 1.73887044783063 & 0.118935883990182 \tabularnewline
0.42 & 1.76413353359027 & 0.122632194874132 \tabularnewline
0.43 & 1.78994146326503 & 0.124690981238268 \tabularnewline
0.44 & 1.81596185626386 & 0.125049620008424 \tabularnewline
0.45 & 1.84185554100932 & 0.123747498931365 \tabularnewline
0.46 & 1.86729936847669 & 0.120922985247302 \tabularnewline
0.47 & 1.89200391865595 & 0.116777355751409 \tabularnewline
0.48 & 1.91572609011975 & 0.111553728064053 \tabularnewline
0.49 & 1.93827753846723 & 0.105519563062602 \tabularnewline
0.5 & 1.95953034871219 & 0.0989625054409747 \tabularnewline
0.51 & 1.97942123857458 & 0.092192450897314 \tabularnewline
0.52 & 1.99795514090602 & 0.0855330162577268 \tabularnewline
0.53 & 2.01520836073284 & 0.0793266070791732 \tabularnewline
0.54 & 2.03133076930377 & 0.0739368354145556 \tabularnewline
0.55 & 2.04654579481917 & 0.0697368197598311 \tabularnewline
0.56 & 2.06114644633921 & 0.0670871469435358 \tabularnewline
0.57 & 2.07548547507477 & 0.0662976686593229 \tabularnewline
0.58 & 2.08995825929428 & 0.0675707549205797 \tabularnewline
0.59 & 2.10497820770082 & 0.0709275387003657 \tabularnewline
0.6 & 2.12094627323505 & 0.0761872671268203 \tabularnewline
0.61 & 2.13821810107852 & 0.0829649740876785 \tabularnewline
0.62 & 2.15707371558294 & 0.0907506208373904 \tabularnewline
0.63 & 2.17769480735045 & 0.0989683277678015 \tabularnewline
0.64 & 2.2001532774218 & 0.107051171400142 \tabularnewline
0.65 & 2.22441198850408 & 0.114515025053504 \tabularnewline
0.66 & 2.25033554708029 & 0.120962792600526 \tabularnewline
0.67 & 2.27770662967152 & 0.126128589480251 \tabularnewline
0.68 & 2.30624293795611 & 0.12981068017525 \tabularnewline
0.69 & 2.33561166449635 & 0.131876726734557 \tabularnewline
0.7 & 2.36544168272162 & 0.132207555856442 \tabularnewline
0.71 & 2.39533696453943 & 0.130717168726869 \tabularnewline
0.72 & 2.42489614318164 & 0.12740092305813 \tabularnewline
0.73 & 2.45374147337143 & 0.122384012150488 \tabularnewline
0.74 & 2.48155585529335 & 0.115982652105711 \tabularnewline
0.75 & 2.50812078861127 & 0.108707786935107 \tabularnewline
0.76 & 2.53334380312343 & 0.101206159891562 \tabularnewline
0.77 & 2.5572636296539 & 0.0941370099790183 \tabularnewline
0.78 & 2.58002631831278 & 0.0880043800981539 \tabularnewline
0.79 & 2.60183475064369 & 0.0830158367812705 \tabularnewline
0.8 & 2.6228845765396 & 0.0790176072559528 \tabularnewline
0.81 & 2.64330751309719 & 0.0755676639313731 \tabularnewline
0.82 & 2.66314448759554 & 0.0721346919558918 \tabularnewline
0.83 & 2.68236429386252 & 0.0683356109047252 \tabularnewline
0.84 & 2.70092886510157 & 0.0641312382370456 \tabularnewline
0.85 & 2.71888757725462 & 0.0599135042081325 \tabularnewline
0.86 & 2.73646681730195 & 0.0564523153788754 \tabularnewline
0.87 & 2.75411619332891 & 0.0546477200267019 \tabularnewline
0.88 & 2.77248757231092 & 0.0551248828826909 \tabularnewline
0.89 & 2.79235995463357 & 0.0578935758729972 \tabularnewline
0.9 & 2.81457092708748 & 0.0624140212377248 \tabularnewline
0.91 & 2.84004545589252 & 0.0681616233525933 \tabularnewline
0.92 & 2.86998726871043 & 0.07534981902124 \tabularnewline
0.93 & 2.90619682755377 & 0.0851635036544446 \tabularnewline
0.94 & 2.95134459042268 & 0.0990408227084267 \tabularnewline
0.95 & 3.00903190228236 & 0.117044453248114 \tabularnewline
0.96 & 3.0839665660094 & 0.136686981516832 \tabularnewline
0.97 & 3.18337722477186 & 0.155205845043834 \tabularnewline
0.98 & 3.31760938863809 & 0.180338829855434 \tabularnewline
0.99 & 3.48239726552597 & 0.234713596897537 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277108&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]0.87493434821408[/C][C]0.037279676239609[/C][/ROW]
[ROW][C]0.02[/C][C]0.907909882698911[/C][C]0.061268653041093[/C][/ROW]
[ROW][C]0.03[/C][C]0.947617036990131[/C][C]0.0613894683236067[/C][/ROW]
[ROW][C]0.04[/C][C]0.984708825950574[/C][C]0.0580770196283525[/C][/ROW]
[ROW][C]0.05[/C][C]1.01766888366947[/C][C]0.0609590318746678[/C][/ROW]
[ROW][C]0.06[/C][C]1.04857682322298[/C][C]0.0672881120549168[/C][/ROW]
[ROW][C]0.07[/C][C]1.07919658782869[/C][C]0.0739786661278659[/C][/ROW]
[ROW][C]0.08[/C][C]1.11009958196219[/C][C]0.0797856080698175[/C][/ROW]
[ROW][C]0.09[/C][C]1.14105887327165[/C][C]0.0837143556388282[/C][/ROW]
[ROW][C]0.1[/C][C]1.17143543907716[/C][C]0.0846487345952957[/C][/ROW]
[ROW][C]0.11[/C][C]1.20041578697816[/C][C]0.0820534904044407[/C][/ROW]
[ROW][C]0.12[/C][C]1.22725124316226[/C][C]0.0765564696253784[/C][/ROW]
[ROW][C]0.13[/C][C]1.25149824075447[/C][C]0.0697901076371937[/C][/ROW]
[ROW][C]0.14[/C][C]1.27314892210287[/C][C]0.0636708258053713[/C][/ROW]
[ROW][C]0.15[/C][C]1.29258528480711[/C][C]0.0595436946812436[/C][/ROW]
[ROW][C]0.16[/C][C]1.3103962754865[/C][C]0.0576884964602527[/C][/ROW]
[ROW][C]0.17[/C][C]1.32716292457327[/C][C]0.0574374065854193[/C][/ROW]
[ROW][C]0.18[/C][C]1.34330871962577[/C][C]0.0577999215856981[/C][/ROW]
[ROW][C]0.19[/C][C]1.35905747398369[/C][C]0.0580286866869337[/C][/ROW]
[ROW][C]0.2[/C][C]1.37448248361123[/C][C]0.0578631830300038[/C][/ROW]
[ROW][C]0.21[/C][C]1.38959755534533[/C][C]0.0574996925544295[/C][/ROW]
[ROW][C]0.22[/C][C]1.40443843476868[/C][C]0.0573926443629056[/C][/ROW]
[ROW][C]0.23[/C][C]1.4191025268763[/C][C]0.0579745851848375[/C][/ROW]
[ROW][C]0.24[/C][C]1.43374094088743[/C][C]0.0594403467547959[/C][/ROW]
[ROW][C]0.25[/C][C]1.4485178387755[/C][C]0.061653306554112[/C][/ROW]
[ROW][C]0.26[/C][C]1.46356174153772[/C][C]0.064225108587283[/C][/ROW]
[ROW][C]0.27[/C][C]1.4789315699097[/C][C]0.0666918950230978[/C][/ROW]
[ROW][C]0.28[/C][C]1.49461045659033[/C][C]0.068687205757811[/C][/ROW]
[ROW][C]0.29[/C][C]1.51052802992198[/C][C]0.0700566416163388[/C][/ROW]
[ROW][C]0.3[/C][C]1.52660166716641[/C][C]0.0709232434125299[/C][/ROW]
[ROW][C]0.31[/C][C]1.5427820111375[/C][C]0.0716277002859489[/C][/ROW]
[ROW][C]0.32[/C][C]1.55908841608604[/C][C]0.0726510836583845[/C][/ROW]
[ROW][C]0.33[/C][C]1.57562462947752[/C][C]0.0744846205308332[/C][/ROW]
[ROW][C]0.34[/C][C]1.59257162070011[/C][C]0.0774927202261571[/C][/ROW]
[ROW][C]0.35[/C][C]1.61016071630221[/C][C]0.0818292625576727[/C][/ROW]
[ROW][C]0.36[/C][C]1.62863448264616[/C][C]0.0873933377306186[/C][/ROW]
[ROW][C]0.37[/C][C]1.64820448690055[/C][C]0.093865181637036[/C][/ROW]
[ROW][C]0.38[/C][C]1.66901439710319[/C][C]0.100783717205258[/C][/ROW]
[ROW][C]0.39[/C][C]1.69111458051314[/C][C]0.107611168504197[/C][/ROW]
[ROW][C]0.4[/C][C]1.71445128954021[/C][C]0.113814644651911[/C][/ROW]
[ROW][C]0.41[/C][C]1.73887044783063[/C][C]0.118935883990182[/C][/ROW]
[ROW][C]0.42[/C][C]1.76413353359027[/C][C]0.122632194874132[/C][/ROW]
[ROW][C]0.43[/C][C]1.78994146326503[/C][C]0.124690981238268[/C][/ROW]
[ROW][C]0.44[/C][C]1.81596185626386[/C][C]0.125049620008424[/C][/ROW]
[ROW][C]0.45[/C][C]1.84185554100932[/C][C]0.123747498931365[/C][/ROW]
[ROW][C]0.46[/C][C]1.86729936847669[/C][C]0.120922985247302[/C][/ROW]
[ROW][C]0.47[/C][C]1.89200391865595[/C][C]0.116777355751409[/C][/ROW]
[ROW][C]0.48[/C][C]1.91572609011975[/C][C]0.111553728064053[/C][/ROW]
[ROW][C]0.49[/C][C]1.93827753846723[/C][C]0.105519563062602[/C][/ROW]
[ROW][C]0.5[/C][C]1.95953034871219[/C][C]0.0989625054409747[/C][/ROW]
[ROW][C]0.51[/C][C]1.97942123857458[/C][C]0.092192450897314[/C][/ROW]
[ROW][C]0.52[/C][C]1.99795514090602[/C][C]0.0855330162577268[/C][/ROW]
[ROW][C]0.53[/C][C]2.01520836073284[/C][C]0.0793266070791732[/C][/ROW]
[ROW][C]0.54[/C][C]2.03133076930377[/C][C]0.0739368354145556[/C][/ROW]
[ROW][C]0.55[/C][C]2.04654579481917[/C][C]0.0697368197598311[/C][/ROW]
[ROW][C]0.56[/C][C]2.06114644633921[/C][C]0.0670871469435358[/C][/ROW]
[ROW][C]0.57[/C][C]2.07548547507477[/C][C]0.0662976686593229[/C][/ROW]
[ROW][C]0.58[/C][C]2.08995825929428[/C][C]0.0675707549205797[/C][/ROW]
[ROW][C]0.59[/C][C]2.10497820770082[/C][C]0.0709275387003657[/C][/ROW]
[ROW][C]0.6[/C][C]2.12094627323505[/C][C]0.0761872671268203[/C][/ROW]
[ROW][C]0.61[/C][C]2.13821810107852[/C][C]0.0829649740876785[/C][/ROW]
[ROW][C]0.62[/C][C]2.15707371558294[/C][C]0.0907506208373904[/C][/ROW]
[ROW][C]0.63[/C][C]2.17769480735045[/C][C]0.0989683277678015[/C][/ROW]
[ROW][C]0.64[/C][C]2.2001532774218[/C][C]0.107051171400142[/C][/ROW]
[ROW][C]0.65[/C][C]2.22441198850408[/C][C]0.114515025053504[/C][/ROW]
[ROW][C]0.66[/C][C]2.25033554708029[/C][C]0.120962792600526[/C][/ROW]
[ROW][C]0.67[/C][C]2.27770662967152[/C][C]0.126128589480251[/C][/ROW]
[ROW][C]0.68[/C][C]2.30624293795611[/C][C]0.12981068017525[/C][/ROW]
[ROW][C]0.69[/C][C]2.33561166449635[/C][C]0.131876726734557[/C][/ROW]
[ROW][C]0.7[/C][C]2.36544168272162[/C][C]0.132207555856442[/C][/ROW]
[ROW][C]0.71[/C][C]2.39533696453943[/C][C]0.130717168726869[/C][/ROW]
[ROW][C]0.72[/C][C]2.42489614318164[/C][C]0.12740092305813[/C][/ROW]
[ROW][C]0.73[/C][C]2.45374147337143[/C][C]0.122384012150488[/C][/ROW]
[ROW][C]0.74[/C][C]2.48155585529335[/C][C]0.115982652105711[/C][/ROW]
[ROW][C]0.75[/C][C]2.50812078861127[/C][C]0.108707786935107[/C][/ROW]
[ROW][C]0.76[/C][C]2.53334380312343[/C][C]0.101206159891562[/C][/ROW]
[ROW][C]0.77[/C][C]2.5572636296539[/C][C]0.0941370099790183[/C][/ROW]
[ROW][C]0.78[/C][C]2.58002631831278[/C][C]0.0880043800981539[/C][/ROW]
[ROW][C]0.79[/C][C]2.60183475064369[/C][C]0.0830158367812705[/C][/ROW]
[ROW][C]0.8[/C][C]2.6228845765396[/C][C]0.0790176072559528[/C][/ROW]
[ROW][C]0.81[/C][C]2.64330751309719[/C][C]0.0755676639313731[/C][/ROW]
[ROW][C]0.82[/C][C]2.66314448759554[/C][C]0.0721346919558918[/C][/ROW]
[ROW][C]0.83[/C][C]2.68236429386252[/C][C]0.0683356109047252[/C][/ROW]
[ROW][C]0.84[/C][C]2.70092886510157[/C][C]0.0641312382370456[/C][/ROW]
[ROW][C]0.85[/C][C]2.71888757725462[/C][C]0.0599135042081325[/C][/ROW]
[ROW][C]0.86[/C][C]2.73646681730195[/C][C]0.0564523153788754[/C][/ROW]
[ROW][C]0.87[/C][C]2.75411619332891[/C][C]0.0546477200267019[/C][/ROW]
[ROW][C]0.88[/C][C]2.77248757231092[/C][C]0.0551248828826909[/C][/ROW]
[ROW][C]0.89[/C][C]2.79235995463357[/C][C]0.0578935758729972[/C][/ROW]
[ROW][C]0.9[/C][C]2.81457092708748[/C][C]0.0624140212377248[/C][/ROW]
[ROW][C]0.91[/C][C]2.84004545589252[/C][C]0.0681616233525933[/C][/ROW]
[ROW][C]0.92[/C][C]2.86998726871043[/C][C]0.07534981902124[/C][/ROW]
[ROW][C]0.93[/C][C]2.90619682755377[/C][C]0.0851635036544446[/C][/ROW]
[ROW][C]0.94[/C][C]2.95134459042268[/C][C]0.0990408227084267[/C][/ROW]
[ROW][C]0.95[/C][C]3.00903190228236[/C][C]0.117044453248114[/C][/ROW]
[ROW][C]0.96[/C][C]3.0839665660094[/C][C]0.136686981516832[/C][/ROW]
[ROW][C]0.97[/C][C]3.18337722477186[/C][C]0.155205845043834[/C][/ROW]
[ROW][C]0.98[/C][C]3.31760938863809[/C][C]0.180338829855434[/C][/ROW]
[ROW][C]0.99[/C][C]3.48239726552597[/C][C]0.234713596897537[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277108&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
0.010.874934348214080.037279676239609
0.020.9079098826989110.061268653041093
0.030.9476170369901310.0613894683236067
0.040.9847088259505740.0580770196283525
0.051.017668883669470.0609590318746678
0.061.048576823222980.0672881120549168
0.071.079196587828690.0739786661278659
0.081.110099581962190.0797856080698175
0.091.141058873271650.0837143556388282
0.11.171435439077160.0846487345952957
0.111.200415786978160.0820534904044407
0.121.227251243162260.0765564696253784
0.131.251498240754470.0697901076371937
0.141.273148922102870.0636708258053713
0.151.292585284807110.0595436946812436
0.161.31039627548650.0576884964602527
0.171.327162924573270.0574374065854193
0.181.343308719625770.0577999215856981
0.191.359057473983690.0580286866869337
0.21.374482483611230.0578631830300038
0.211.389597555345330.0574996925544295
0.221.404438434768680.0573926443629056
0.231.41910252687630.0579745851848375
0.241.433740940887430.0594403467547959
0.251.44851783877550.061653306554112
0.261.463561741537720.064225108587283
0.271.47893156990970.0666918950230978
0.281.494610456590330.068687205757811
0.291.510528029921980.0700566416163388
0.31.526601667166410.0709232434125299
0.311.54278201113750.0716277002859489
0.321.559088416086040.0726510836583845
0.331.575624629477520.0744846205308332
0.341.592571620700110.0774927202261571
0.351.610160716302210.0818292625576727
0.361.628634482646160.0873933377306186
0.371.648204486900550.093865181637036
0.381.669014397103190.100783717205258
0.391.691114580513140.107611168504197
0.41.714451289540210.113814644651911
0.411.738870447830630.118935883990182
0.421.764133533590270.122632194874132
0.431.789941463265030.124690981238268
0.441.815961856263860.125049620008424
0.451.841855541009320.123747498931365
0.461.867299368476690.120922985247302
0.471.892003918655950.116777355751409
0.481.915726090119750.111553728064053
0.491.938277538467230.105519563062602
0.51.959530348712190.0989625054409747
0.511.979421238574580.092192450897314
0.521.997955140906020.0855330162577268
0.532.015208360732840.0793266070791732
0.542.031330769303770.0739368354145556
0.552.046545794819170.0697368197598311
0.562.061146446339210.0670871469435358
0.572.075485475074770.0662976686593229
0.582.089958259294280.0675707549205797
0.592.104978207700820.0709275387003657
0.62.120946273235050.0761872671268203
0.612.138218101078520.0829649740876785
0.622.157073715582940.0907506208373904
0.632.177694807350450.0989683277678015
0.642.20015327742180.107051171400142
0.652.224411988504080.114515025053504
0.662.250335547080290.120962792600526
0.672.277706629671520.126128589480251
0.682.306242937956110.12981068017525
0.692.335611664496350.131876726734557
0.72.365441682721620.132207555856442
0.712.395336964539430.130717168726869
0.722.424896143181640.12740092305813
0.732.453741473371430.122384012150488
0.742.481555855293350.115982652105711
0.752.508120788611270.108707786935107
0.762.533343803123430.101206159891562
0.772.55726362965390.0941370099790183
0.782.580026318312780.0880043800981539
0.792.601834750643690.0830158367812705
0.82.62288457653960.0790176072559528
0.812.643307513097190.0755676639313731
0.822.663144487595540.0721346919558918
0.832.682364293862520.0683356109047252
0.842.700928865101570.0641312382370456
0.852.718887577254620.0599135042081325
0.862.736466817301950.0564523153788754
0.872.754116193328910.0546477200267019
0.882.772487572310920.0551248828826909
0.892.792359954633570.0578935758729972
0.92.814570927087480.0624140212377248
0.912.840045455892520.0681616233525933
0.922.869987268710430.07534981902124
0.932.906196827553770.0851635036544446
0.942.951344590422680.0990408227084267
0.953.009031902282360.117044453248114
0.963.08396656600940.136686981516832
0.973.183377224771860.155205845043834
0.983.317609388638090.180338829855434
0.993.482397265525970.234713596897537



Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')