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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Oct 2012 14:36:40 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/08/t1349721530021270nbebllg8e.htm/, Retrieved Thu, 02 May 2024 13:25:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174107, Retrieved Thu, 02 May 2024 13:25:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact35
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielen maxi...] [2012-10-08 18:36:40] [085453999911cf7fe9b8fc00057e83b9] [Current]
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Dataseries X:
2.1
2.1
2.11
2.12
2.13
2.13
2.13
2.13
2.14
2.15
2.16
2.17
2.16
2.2
2.19
2.2
2.2
2.2
2.21
2.22
2.25
2.33
2.33
2.35
2.37
2.38
2.38
2.41
2.41
2.41
2.41
2.42
2.42
2.43
2.44
2.44
2.43
2.44
2.44
2.44
2.44
2.44
2.43
2.42
2.43
2.43
2.43
2.43
2.43
2.44
2.43
2.43
2.44
2.43
2.43
2.44
2.46
2.48
2.49
2.5
2.53
2.55
2.57
2.56
2.56
2.57
2.56
2.57
2.58
2.58
2.58
2.59




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174107&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174107&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'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.101127137045850.00334034427038054
0.022.103869475420720.00737122801962002
0.032.108015191470680.0100831231493682
0.042.112872269704790.0110043511183178
0.052.11774170109160.0106328198975101
0.062.122203368624820.00978241701746603
0.072.126163363631140.00923858600779692
0.082.129763824694430.00954520100612202
0.092.133255046890270.0107922573585792
0.12.136886888982830.0127031377653893
0.112.140842090800540.0149096575476902
0.122.145212635246630.0171160963782156
0.132.15000827564780.0191263647931254
0.142.155182325056370.020845625722861
0.152.160661996899220.0222687773045625
0.162.166375725840060.023458553420415
0.172.172274632831020.0245477595401368
0.182.178347776664760.0257402020402626
0.192.18463108074880.0272901307360065
0.22.191209059061950.029478852677351
0.212.198208074504640.0325288564015588
0.222.205780621026790.0365232914724294
0.232.214081940938260.0413706341128393
0.242.223242440340320.0468123439290904
0.252.233340930948350.0524601576960362
0.262.244384037195710.0578550870143458
0.272.25629599104920.0625333573836002
0.282.268920826931230.0661018062980212
0.292.282036349558540.0682737081972812
0.32.295376914366560.0689125340255978
0.312.308660602837160.0680267592274752
0.322.32161604978250.065754900759978
0.332.334004903503040.0623390569871263
0.342.345637330222370.0580740971727706
0.352.35637965104960.053267248786182
0.362.3661546941480.0482053029913204
0.372.3749364693250.0431328041723711
0.382.382741225766050.0382354197558452
0.392.389616901816440.033645583509057
0.42.395632588028440.0294412875633315
0.412.400869097912110.0256622311765025
0.422.405411236547110.0223138374891346
0.432.409341968985840.0193739972766936
0.442.412738442225940.0168088366758357
0.452.415669681591060.0145721348714161
0.462.418195719756770.0126170178116183
0.472.420367884136610.0108964957966749
0.482.422229943573630.009374359643362
0.492.423819795039210.0080221938373364
0.52.425171364055140.00682234038377729
0.512.426316409718460.00577089293313887
0.522.42728597197910.00486947129503303
0.532.428111272317920.00412599769195884
0.542.428823969595640.00355240058871551
0.552.429455768406650.00316070189214295
0.562.430037467102660.00295405672836848
0.572.430597609736680.00291982144667919
0.582.431160966804530.0030303392639013
0.592.431747111340260.00323945692549704
0.62.432369376181840.00350035509398456
0.612.433034469775940.00376722281128123
0.622.433742985832080.00400576512566403
0.632.434490962693410.00419062266089744
0.642.435272532725590.00430875218629894
0.652.43608355820050.0043768583349246
0.662.436925991980120.00443252806977399
0.672.437812546543270.00454320731728767
0.682.438771122668490.0048097947291697
0.692.439848358529730.00535162055858862
0.72.441111630161240.00628924858910831
0.712.442648883857990.00771160223607384
0.722.444565825107340.00967506486487287
0.732.446980231076480.0121855687802658
0.742.450013478074680.0152137962442366
0.752.453779739943850.0186787190871696
0.762.458373657908760.0224450151950252
0.772.463857550909740.0263299436405962
0.782.470249404938240.0301138774580314
0.792.477512976943470.0335410135733972
0.82.485551429791430.0363534539964421
0.812.494206003034750.0383011870278814
0.822.503261232277170.039179071975227
0.832.512457927403180.0388484512568358
0.842.52151421616050.0372723206597201
0.852.530153312412320.0345433260040298
0.862.538134525871480.0308830433750676
0.872.545282111270210.0266300738999269
0.882.551505792351680.0221852972967619
0.892.556807776485550.0179515944090219
0.92.561273564247430.0142605062453626
0.912.565046999880020.0113201364543828
0.922.568293449654520.00918239665506338
0.932.571160077541880.0077177581504963
0.942.573750982951760.00663850435886411
0.952.576144385042260.00563018241720618
0.962.578469716228360.0046159151937356
0.972.580994252734490.00410811893796667
0.982.584028393869110.00514412030923994
0.992.587424334935890.00761409771174017

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.10112713704585 & 0.00334034427038054 \tabularnewline
0.02 & 2.10386947542072 & 0.00737122801962002 \tabularnewline
0.03 & 2.10801519147068 & 0.0100831231493682 \tabularnewline
0.04 & 2.11287226970479 & 0.0110043511183178 \tabularnewline
0.05 & 2.1177417010916 & 0.0106328198975101 \tabularnewline
0.06 & 2.12220336862482 & 0.00978241701746603 \tabularnewline
0.07 & 2.12616336363114 & 0.00923858600779692 \tabularnewline
0.08 & 2.12976382469443 & 0.00954520100612202 \tabularnewline
0.09 & 2.13325504689027 & 0.0107922573585792 \tabularnewline
0.1 & 2.13688688898283 & 0.0127031377653893 \tabularnewline
0.11 & 2.14084209080054 & 0.0149096575476902 \tabularnewline
0.12 & 2.14521263524663 & 0.0171160963782156 \tabularnewline
0.13 & 2.1500082756478 & 0.0191263647931254 \tabularnewline
0.14 & 2.15518232505637 & 0.020845625722861 \tabularnewline
0.15 & 2.16066199689922 & 0.0222687773045625 \tabularnewline
0.16 & 2.16637572584006 & 0.023458553420415 \tabularnewline
0.17 & 2.17227463283102 & 0.0245477595401368 \tabularnewline
0.18 & 2.17834777666476 & 0.0257402020402626 \tabularnewline
0.19 & 2.1846310807488 & 0.0272901307360065 \tabularnewline
0.2 & 2.19120905906195 & 0.029478852677351 \tabularnewline
0.21 & 2.19820807450464 & 0.0325288564015588 \tabularnewline
0.22 & 2.20578062102679 & 0.0365232914724294 \tabularnewline
0.23 & 2.21408194093826 & 0.0413706341128393 \tabularnewline
0.24 & 2.22324244034032 & 0.0468123439290904 \tabularnewline
0.25 & 2.23334093094835 & 0.0524601576960362 \tabularnewline
0.26 & 2.24438403719571 & 0.0578550870143458 \tabularnewline
0.27 & 2.2562959910492 & 0.0625333573836002 \tabularnewline
0.28 & 2.26892082693123 & 0.0661018062980212 \tabularnewline
0.29 & 2.28203634955854 & 0.0682737081972812 \tabularnewline
0.3 & 2.29537691436656 & 0.0689125340255978 \tabularnewline
0.31 & 2.30866060283716 & 0.0680267592274752 \tabularnewline
0.32 & 2.3216160497825 & 0.065754900759978 \tabularnewline
0.33 & 2.33400490350304 & 0.0623390569871263 \tabularnewline
0.34 & 2.34563733022237 & 0.0580740971727706 \tabularnewline
0.35 & 2.3563796510496 & 0.053267248786182 \tabularnewline
0.36 & 2.366154694148 & 0.0482053029913204 \tabularnewline
0.37 & 2.374936469325 & 0.0431328041723711 \tabularnewline
0.38 & 2.38274122576605 & 0.0382354197558452 \tabularnewline
0.39 & 2.38961690181644 & 0.033645583509057 \tabularnewline
0.4 & 2.39563258802844 & 0.0294412875633315 \tabularnewline
0.41 & 2.40086909791211 & 0.0256622311765025 \tabularnewline
0.42 & 2.40541123654711 & 0.0223138374891346 \tabularnewline
0.43 & 2.40934196898584 & 0.0193739972766936 \tabularnewline
0.44 & 2.41273844222594 & 0.0168088366758357 \tabularnewline
0.45 & 2.41566968159106 & 0.0145721348714161 \tabularnewline
0.46 & 2.41819571975677 & 0.0126170178116183 \tabularnewline
0.47 & 2.42036788413661 & 0.0108964957966749 \tabularnewline
0.48 & 2.42222994357363 & 0.009374359643362 \tabularnewline
0.49 & 2.42381979503921 & 0.0080221938373364 \tabularnewline
0.5 & 2.42517136405514 & 0.00682234038377729 \tabularnewline
0.51 & 2.42631640971846 & 0.00577089293313887 \tabularnewline
0.52 & 2.4272859719791 & 0.00486947129503303 \tabularnewline
0.53 & 2.42811127231792 & 0.00412599769195884 \tabularnewline
0.54 & 2.42882396959564 & 0.00355240058871551 \tabularnewline
0.55 & 2.42945576840665 & 0.00316070189214295 \tabularnewline
0.56 & 2.43003746710266 & 0.00295405672836848 \tabularnewline
0.57 & 2.43059760973668 & 0.00291982144667919 \tabularnewline
0.58 & 2.43116096680453 & 0.0030303392639013 \tabularnewline
0.59 & 2.43174711134026 & 0.00323945692549704 \tabularnewline
0.6 & 2.43236937618184 & 0.00350035509398456 \tabularnewline
0.61 & 2.43303446977594 & 0.00376722281128123 \tabularnewline
0.62 & 2.43374298583208 & 0.00400576512566403 \tabularnewline
0.63 & 2.43449096269341 & 0.00419062266089744 \tabularnewline
0.64 & 2.43527253272559 & 0.00430875218629894 \tabularnewline
0.65 & 2.4360835582005 & 0.0043768583349246 \tabularnewline
0.66 & 2.43692599198012 & 0.00443252806977399 \tabularnewline
0.67 & 2.43781254654327 & 0.00454320731728767 \tabularnewline
0.68 & 2.43877112266849 & 0.0048097947291697 \tabularnewline
0.69 & 2.43984835852973 & 0.00535162055858862 \tabularnewline
0.7 & 2.44111163016124 & 0.00628924858910831 \tabularnewline
0.71 & 2.44264888385799 & 0.00771160223607384 \tabularnewline
0.72 & 2.44456582510734 & 0.00967506486487287 \tabularnewline
0.73 & 2.44698023107648 & 0.0121855687802658 \tabularnewline
0.74 & 2.45001347807468 & 0.0152137962442366 \tabularnewline
0.75 & 2.45377973994385 & 0.0186787190871696 \tabularnewline
0.76 & 2.45837365790876 & 0.0224450151950252 \tabularnewline
0.77 & 2.46385755090974 & 0.0263299436405962 \tabularnewline
0.78 & 2.47024940493824 & 0.0301138774580314 \tabularnewline
0.79 & 2.47751297694347 & 0.0335410135733972 \tabularnewline
0.8 & 2.48555142979143 & 0.0363534539964421 \tabularnewline
0.81 & 2.49420600303475 & 0.0383011870278814 \tabularnewline
0.82 & 2.50326123227717 & 0.039179071975227 \tabularnewline
0.83 & 2.51245792740318 & 0.0388484512568358 \tabularnewline
0.84 & 2.5215142161605 & 0.0372723206597201 \tabularnewline
0.85 & 2.53015331241232 & 0.0345433260040298 \tabularnewline
0.86 & 2.53813452587148 & 0.0308830433750676 \tabularnewline
0.87 & 2.54528211127021 & 0.0266300738999269 \tabularnewline
0.88 & 2.55150579235168 & 0.0221852972967619 \tabularnewline
0.89 & 2.55680777648555 & 0.0179515944090219 \tabularnewline
0.9 & 2.56127356424743 & 0.0142605062453626 \tabularnewline
0.91 & 2.56504699988002 & 0.0113201364543828 \tabularnewline
0.92 & 2.56829344965452 & 0.00918239665506338 \tabularnewline
0.93 & 2.57116007754188 & 0.0077177581504963 \tabularnewline
0.94 & 2.57375098295176 & 0.00663850435886411 \tabularnewline
0.95 & 2.57614438504226 & 0.00563018241720618 \tabularnewline
0.96 & 2.57846971622836 & 0.0046159151937356 \tabularnewline
0.97 & 2.58099425273449 & 0.00410811893796667 \tabularnewline
0.98 & 2.58402839386911 & 0.00514412030923994 \tabularnewline
0.99 & 2.58742433493589 & 0.00761409771174017 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174107&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]2.10112713704585[/C][C]0.00334034427038054[/C][/ROW]
[ROW][C]0.02[/C][C]2.10386947542072[/C][C]0.00737122801962002[/C][/ROW]
[ROW][C]0.03[/C][C]2.10801519147068[/C][C]0.0100831231493682[/C][/ROW]
[ROW][C]0.04[/C][C]2.11287226970479[/C][C]0.0110043511183178[/C][/ROW]
[ROW][C]0.05[/C][C]2.1177417010916[/C][C]0.0106328198975101[/C][/ROW]
[ROW][C]0.06[/C][C]2.12220336862482[/C][C]0.00978241701746603[/C][/ROW]
[ROW][C]0.07[/C][C]2.12616336363114[/C][C]0.00923858600779692[/C][/ROW]
[ROW][C]0.08[/C][C]2.12976382469443[/C][C]0.00954520100612202[/C][/ROW]
[ROW][C]0.09[/C][C]2.13325504689027[/C][C]0.0107922573585792[/C][/ROW]
[ROW][C]0.1[/C][C]2.13688688898283[/C][C]0.0127031377653893[/C][/ROW]
[ROW][C]0.11[/C][C]2.14084209080054[/C][C]0.0149096575476902[/C][/ROW]
[ROW][C]0.12[/C][C]2.14521263524663[/C][C]0.0171160963782156[/C][/ROW]
[ROW][C]0.13[/C][C]2.1500082756478[/C][C]0.0191263647931254[/C][/ROW]
[ROW][C]0.14[/C][C]2.15518232505637[/C][C]0.020845625722861[/C][/ROW]
[ROW][C]0.15[/C][C]2.16066199689922[/C][C]0.0222687773045625[/C][/ROW]
[ROW][C]0.16[/C][C]2.16637572584006[/C][C]0.023458553420415[/C][/ROW]
[ROW][C]0.17[/C][C]2.17227463283102[/C][C]0.0245477595401368[/C][/ROW]
[ROW][C]0.18[/C][C]2.17834777666476[/C][C]0.0257402020402626[/C][/ROW]
[ROW][C]0.19[/C][C]2.1846310807488[/C][C]0.0272901307360065[/C][/ROW]
[ROW][C]0.2[/C][C]2.19120905906195[/C][C]0.029478852677351[/C][/ROW]
[ROW][C]0.21[/C][C]2.19820807450464[/C][C]0.0325288564015588[/C][/ROW]
[ROW][C]0.22[/C][C]2.20578062102679[/C][C]0.0365232914724294[/C][/ROW]
[ROW][C]0.23[/C][C]2.21408194093826[/C][C]0.0413706341128393[/C][/ROW]
[ROW][C]0.24[/C][C]2.22324244034032[/C][C]0.0468123439290904[/C][/ROW]
[ROW][C]0.25[/C][C]2.23334093094835[/C][C]0.0524601576960362[/C][/ROW]
[ROW][C]0.26[/C][C]2.24438403719571[/C][C]0.0578550870143458[/C][/ROW]
[ROW][C]0.27[/C][C]2.2562959910492[/C][C]0.0625333573836002[/C][/ROW]
[ROW][C]0.28[/C][C]2.26892082693123[/C][C]0.0661018062980212[/C][/ROW]
[ROW][C]0.29[/C][C]2.28203634955854[/C][C]0.0682737081972812[/C][/ROW]
[ROW][C]0.3[/C][C]2.29537691436656[/C][C]0.0689125340255978[/C][/ROW]
[ROW][C]0.31[/C][C]2.30866060283716[/C][C]0.0680267592274752[/C][/ROW]
[ROW][C]0.32[/C][C]2.3216160497825[/C][C]0.065754900759978[/C][/ROW]
[ROW][C]0.33[/C][C]2.33400490350304[/C][C]0.0623390569871263[/C][/ROW]
[ROW][C]0.34[/C][C]2.34563733022237[/C][C]0.0580740971727706[/C][/ROW]
[ROW][C]0.35[/C][C]2.3563796510496[/C][C]0.053267248786182[/C][/ROW]
[ROW][C]0.36[/C][C]2.366154694148[/C][C]0.0482053029913204[/C][/ROW]
[ROW][C]0.37[/C][C]2.374936469325[/C][C]0.0431328041723711[/C][/ROW]
[ROW][C]0.38[/C][C]2.38274122576605[/C][C]0.0382354197558452[/C][/ROW]
[ROW][C]0.39[/C][C]2.38961690181644[/C][C]0.033645583509057[/C][/ROW]
[ROW][C]0.4[/C][C]2.39563258802844[/C][C]0.0294412875633315[/C][/ROW]
[ROW][C]0.41[/C][C]2.40086909791211[/C][C]0.0256622311765025[/C][/ROW]
[ROW][C]0.42[/C][C]2.40541123654711[/C][C]0.0223138374891346[/C][/ROW]
[ROW][C]0.43[/C][C]2.40934196898584[/C][C]0.0193739972766936[/C][/ROW]
[ROW][C]0.44[/C][C]2.41273844222594[/C][C]0.0168088366758357[/C][/ROW]
[ROW][C]0.45[/C][C]2.41566968159106[/C][C]0.0145721348714161[/C][/ROW]
[ROW][C]0.46[/C][C]2.41819571975677[/C][C]0.0126170178116183[/C][/ROW]
[ROW][C]0.47[/C][C]2.42036788413661[/C][C]0.0108964957966749[/C][/ROW]
[ROW][C]0.48[/C][C]2.42222994357363[/C][C]0.009374359643362[/C][/ROW]
[ROW][C]0.49[/C][C]2.42381979503921[/C][C]0.0080221938373364[/C][/ROW]
[ROW][C]0.5[/C][C]2.42517136405514[/C][C]0.00682234038377729[/C][/ROW]
[ROW][C]0.51[/C][C]2.42631640971846[/C][C]0.00577089293313887[/C][/ROW]
[ROW][C]0.52[/C][C]2.4272859719791[/C][C]0.00486947129503303[/C][/ROW]
[ROW][C]0.53[/C][C]2.42811127231792[/C][C]0.00412599769195884[/C][/ROW]
[ROW][C]0.54[/C][C]2.42882396959564[/C][C]0.00355240058871551[/C][/ROW]
[ROW][C]0.55[/C][C]2.42945576840665[/C][C]0.00316070189214295[/C][/ROW]
[ROW][C]0.56[/C][C]2.43003746710266[/C][C]0.00295405672836848[/C][/ROW]
[ROW][C]0.57[/C][C]2.43059760973668[/C][C]0.00291982144667919[/C][/ROW]
[ROW][C]0.58[/C][C]2.43116096680453[/C][C]0.0030303392639013[/C][/ROW]
[ROW][C]0.59[/C][C]2.43174711134026[/C][C]0.00323945692549704[/C][/ROW]
[ROW][C]0.6[/C][C]2.43236937618184[/C][C]0.00350035509398456[/C][/ROW]
[ROW][C]0.61[/C][C]2.43303446977594[/C][C]0.00376722281128123[/C][/ROW]
[ROW][C]0.62[/C][C]2.43374298583208[/C][C]0.00400576512566403[/C][/ROW]
[ROW][C]0.63[/C][C]2.43449096269341[/C][C]0.00419062266089744[/C][/ROW]
[ROW][C]0.64[/C][C]2.43527253272559[/C][C]0.00430875218629894[/C][/ROW]
[ROW][C]0.65[/C][C]2.4360835582005[/C][C]0.0043768583349246[/C][/ROW]
[ROW][C]0.66[/C][C]2.43692599198012[/C][C]0.00443252806977399[/C][/ROW]
[ROW][C]0.67[/C][C]2.43781254654327[/C][C]0.00454320731728767[/C][/ROW]
[ROW][C]0.68[/C][C]2.43877112266849[/C][C]0.0048097947291697[/C][/ROW]
[ROW][C]0.69[/C][C]2.43984835852973[/C][C]0.00535162055858862[/C][/ROW]
[ROW][C]0.7[/C][C]2.44111163016124[/C][C]0.00628924858910831[/C][/ROW]
[ROW][C]0.71[/C][C]2.44264888385799[/C][C]0.00771160223607384[/C][/ROW]
[ROW][C]0.72[/C][C]2.44456582510734[/C][C]0.00967506486487287[/C][/ROW]
[ROW][C]0.73[/C][C]2.44698023107648[/C][C]0.0121855687802658[/C][/ROW]
[ROW][C]0.74[/C][C]2.45001347807468[/C][C]0.0152137962442366[/C][/ROW]
[ROW][C]0.75[/C][C]2.45377973994385[/C][C]0.0186787190871696[/C][/ROW]
[ROW][C]0.76[/C][C]2.45837365790876[/C][C]0.0224450151950252[/C][/ROW]
[ROW][C]0.77[/C][C]2.46385755090974[/C][C]0.0263299436405962[/C][/ROW]
[ROW][C]0.78[/C][C]2.47024940493824[/C][C]0.0301138774580314[/C][/ROW]
[ROW][C]0.79[/C][C]2.47751297694347[/C][C]0.0335410135733972[/C][/ROW]
[ROW][C]0.8[/C][C]2.48555142979143[/C][C]0.0363534539964421[/C][/ROW]
[ROW][C]0.81[/C][C]2.49420600303475[/C][C]0.0383011870278814[/C][/ROW]
[ROW][C]0.82[/C][C]2.50326123227717[/C][C]0.039179071975227[/C][/ROW]
[ROW][C]0.83[/C][C]2.51245792740318[/C][C]0.0388484512568358[/C][/ROW]
[ROW][C]0.84[/C][C]2.5215142161605[/C][C]0.0372723206597201[/C][/ROW]
[ROW][C]0.85[/C][C]2.53015331241232[/C][C]0.0345433260040298[/C][/ROW]
[ROW][C]0.86[/C][C]2.53813452587148[/C][C]0.0308830433750676[/C][/ROW]
[ROW][C]0.87[/C][C]2.54528211127021[/C][C]0.0266300738999269[/C][/ROW]
[ROW][C]0.88[/C][C]2.55150579235168[/C][C]0.0221852972967619[/C][/ROW]
[ROW][C]0.89[/C][C]2.55680777648555[/C][C]0.0179515944090219[/C][/ROW]
[ROW][C]0.9[/C][C]2.56127356424743[/C][C]0.0142605062453626[/C][/ROW]
[ROW][C]0.91[/C][C]2.56504699988002[/C][C]0.0113201364543828[/C][/ROW]
[ROW][C]0.92[/C][C]2.56829344965452[/C][C]0.00918239665506338[/C][/ROW]
[ROW][C]0.93[/C][C]2.57116007754188[/C][C]0.0077177581504963[/C][/ROW]
[ROW][C]0.94[/C][C]2.57375098295176[/C][C]0.00663850435886411[/C][/ROW]
[ROW][C]0.95[/C][C]2.57614438504226[/C][C]0.00563018241720618[/C][/ROW]
[ROW][C]0.96[/C][C]2.57846971622836[/C][C]0.0046159151937356[/C][/ROW]
[ROW][C]0.97[/C][C]2.58099425273449[/C][C]0.00410811893796667[/C][/ROW]
[ROW][C]0.98[/C][C]2.58402839386911[/C][C]0.00514412030923994[/C][/ROW]
[ROW][C]0.99[/C][C]2.58742433493589[/C][C]0.00761409771174017[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174107&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.101127137045850.00334034427038054
0.022.103869475420720.00737122801962002
0.032.108015191470680.0100831231493682
0.042.112872269704790.0110043511183178
0.052.11774170109160.0106328198975101
0.062.122203368624820.00978241701746603
0.072.126163363631140.00923858600779692
0.082.129763824694430.00954520100612202
0.092.133255046890270.0107922573585792
0.12.136886888982830.0127031377653893
0.112.140842090800540.0149096575476902
0.122.145212635246630.0171160963782156
0.132.15000827564780.0191263647931254
0.142.155182325056370.020845625722861
0.152.160661996899220.0222687773045625
0.162.166375725840060.023458553420415
0.172.172274632831020.0245477595401368
0.182.178347776664760.0257402020402626
0.192.18463108074880.0272901307360065
0.22.191209059061950.029478852677351
0.212.198208074504640.0325288564015588
0.222.205780621026790.0365232914724294
0.232.214081940938260.0413706341128393
0.242.223242440340320.0468123439290904
0.252.233340930948350.0524601576960362
0.262.244384037195710.0578550870143458
0.272.25629599104920.0625333573836002
0.282.268920826931230.0661018062980212
0.292.282036349558540.0682737081972812
0.32.295376914366560.0689125340255978
0.312.308660602837160.0680267592274752
0.322.32161604978250.065754900759978
0.332.334004903503040.0623390569871263
0.342.345637330222370.0580740971727706
0.352.35637965104960.053267248786182
0.362.3661546941480.0482053029913204
0.372.3749364693250.0431328041723711
0.382.382741225766050.0382354197558452
0.392.389616901816440.033645583509057
0.42.395632588028440.0294412875633315
0.412.400869097912110.0256622311765025
0.422.405411236547110.0223138374891346
0.432.409341968985840.0193739972766936
0.442.412738442225940.0168088366758357
0.452.415669681591060.0145721348714161
0.462.418195719756770.0126170178116183
0.472.420367884136610.0108964957966749
0.482.422229943573630.009374359643362
0.492.423819795039210.0080221938373364
0.52.425171364055140.00682234038377729
0.512.426316409718460.00577089293313887
0.522.42728597197910.00486947129503303
0.532.428111272317920.00412599769195884
0.542.428823969595640.00355240058871551
0.552.429455768406650.00316070189214295
0.562.430037467102660.00295405672836848
0.572.430597609736680.00291982144667919
0.582.431160966804530.0030303392639013
0.592.431747111340260.00323945692549704
0.62.432369376181840.00350035509398456
0.612.433034469775940.00376722281128123
0.622.433742985832080.00400576512566403
0.632.434490962693410.00419062266089744
0.642.435272532725590.00430875218629894
0.652.43608355820050.0043768583349246
0.662.436925991980120.00443252806977399
0.672.437812546543270.00454320731728767
0.682.438771122668490.0048097947291697
0.692.439848358529730.00535162055858862
0.72.441111630161240.00628924858910831
0.712.442648883857990.00771160223607384
0.722.444565825107340.00967506486487287
0.732.446980231076480.0121855687802658
0.742.450013478074680.0152137962442366
0.752.453779739943850.0186787190871696
0.762.458373657908760.0224450151950252
0.772.463857550909740.0263299436405962
0.782.470249404938240.0301138774580314
0.792.477512976943470.0335410135733972
0.82.485551429791430.0363534539964421
0.812.494206003034750.0383011870278814
0.822.503261232277170.039179071975227
0.832.512457927403180.0388484512568358
0.842.52151421616050.0372723206597201
0.852.530153312412320.0345433260040298
0.862.538134525871480.0308830433750676
0.872.545282111270210.0266300738999269
0.882.551505792351680.0221852972967619
0.892.556807776485550.0179515944090219
0.92.561273564247430.0142605062453626
0.912.565046999880020.0113201364543828
0.922.568293449654520.00918239665506338
0.932.571160077541880.0077177581504963
0.942.573750982951760.00663850435886411
0.952.576144385042260.00563018241720618
0.962.578469716228360.0046159151937356
0.972.580994252734490.00410811893796667
0.982.584028393869110.00514412030923994
0.992.587424334935890.00761409771174017



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):
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')