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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 04 Aug 2009 07:44:17 -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/Aug/04/t1249393520ku2uii5g8jrjrci.htm/, Retrieved Sun, 19 May 2024 14:39:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42479, Retrieved Sun, 19 May 2024 14:39:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen gemi...] [2009-08-04 13:44:17] [f78fa5e3827314a0edd0041d1d9dae5e] [Current]
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Dataseries X:
11,73
11,74
11,65
11,38
11,53
11,75
11,82
11,83
11,63
11,55
11,4
11,4
11,63
11,46
11,35
11,7
11,52
11,64
11,9
11,73
11,7
11,54
11,97
11,64
11,98
11,79
11,66
11,96
11,83
12,36
12,53
12,55
12,53
12,24
12,34
12,05
12,22
12,23
11,92
12,13
12,1
12,15
12,23
12,08
12,02
11,93
12,16
11,87
11,93
11,79
11,43
11,63
11,93
11,89
11,83
11,59
12,04
11,81
11,9
11,72
11,91
11,94
11,91
11,84
12,01
11,89
11,8
11,7
11,5
11,76
11,61
11,27
11,64
11,39
11,54
11,62
11,59
11,44
11,31
11,56
11,4
11,51
11,5
11,24
11,8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42479&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42479&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42479&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 Ronald Aylmer Fisher' @ 193.190.124.24







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111.25509929206050.0339823912912052
0.0211.28012947888830.0414221712820238
0.0311.30751926992890.0448136200888754
0.0411.33282514272760.0426076968254367
0.0511.35424019338400.0372138344384276
0.0611.37155251447820.0316292486798852
0.0711.38552669217150.0281444462632504
0.0811.39737975528460.0278226606812315
0.0911.40832656628260.0302501033840524
0.111.41927954642500.0341547056777346
0.1111.43072748114410.038173226840303
0.1211.44276062863590.0413385175135491
0.1311.45518521049120.0430998682350076
0.1411.46766932168550.04338796578662
0.1511.47987474075560.0424698412377353
0.1611.49154782310620.040823676022072
0.1711.50256135329120.0389832305505935
0.1811.51291340301370.0374158172100322
0.1911.52269698636930.0364148759204178
0.211.53205611299030.0360775412505015
0.2111.54114159775800.0362926067840582
0.2211.55007585146980.0368590107388487
0.2311.55893150971030.0374655839996279
0.2411.56772504750990.0378825634610532
0.2511.57642374033850.0378969902558965
0.2611.58496243143790.0374413178060464
0.2711.59326548076060.0365249271306528
0.2811.60126898915460.0352857133037026
0.2911.60893890485800.0339232914806918
0.311.61628183110120.0326822967887303
0.3111.62334703445520.0318101453851512
0.3211.63021997312530.0314668285845389
0.3311.63700926935160.0317676366592868
0.3411.64383014654660.0326599097325108
0.3511.65078776349510.0340434023983872
0.3611.65796357284360.0357206007987902
0.3711.66540692037860.0374817410203268
0.3811.67313281464860.0391616092771383
0.3911.6811254341370.0406129706787297
0.411.68934580874370.0417502270073044
0.4111.69774145586990.0425586495615622
0.4211.70625568576990.0430424123883269
0.4311.71483477868200.0432798430733356
0.4411.72343209984340.0433238385856634
0.4511.73200919373490.0431934099671563
0.4611.74053471309270.0429462484033646
0.4711.74898248659340.0425579293849901
0.4811.75733002681410.0420512902874312
0.4911.76555837530780.0414287856732048
0.511.77365352987330.0407130138202047
0.5111.78160900988950.0399252264030077
0.5211.78942859112910.0391606509772304
0.5311.79712802486240.0384823529043641
0.5411.80473470150010.0379787739286120
0.5511.81228468683180.037695493835451
0.5611.81981723151460.0376530928317877
0.5711.82736756576440.0378085817814244
0.5811.83495936276060.0380643280070777
0.5911.84259853348980.0382942564981832
0.611.85026991205890.0383902168541492
0.6111.85793790289970.0382152049784457
0.6211.86555138810120.0376899942869066
0.6311.87305231492050.0368037127636919
0.6411.88038661719210.035595768214372
0.6511.88751565862550.0341747287546748
0.6611.89442632066690.0327077317614614
0.6711.9011381725040.0313588173051598
0.6811.90770673041720.0303567471102466
0.6911.91422246400070.0298386475775070
0.711.9208057882870.0299604737720692
0.7111.92759872221340.0307849258409474
0.7211.93475420844580.0323302457346957
0.7311.94242433149510.0345348392350591
0.7411.95074886700270.0372642684505419
0.7511.95984569413810.0403714983089489
0.7611.96980448196760.0436612363039833
0.7711.98068459317010.046988540882265
0.7811.99251730863560.0502061086249149
0.7912.00531141416400.053206558182271
0.812.01906021659770.0559769943316243
0.8112.03374752024610.0584708159040468
0.8212.04935021920480.0606733595337198
0.8312.06583599251000.0625625899789702
0.8412.08315617917590.0640613835565711
0.8512.10123664628600.0650819525101078
0.8612.11997405625980.0654693888483493
0.8712.13925140330410.0651288951742
0.8812.15899228831940.0640740009814804
0.8912.17927123484130.0626583222681066
0.912.20047855107830.0617993322949518
0.9112.22349849791390.0630655322510474
0.9212.24980392490500.0682299719735072
0.9312.28131011250560.0781252460854899
0.9412.31978717364520.0914831629055523
0.9512.36569495639790.104046769415093
0.9612.41670567101380.10807507942898
0.9712.46703032079610.0949710598171533
0.9812.50909898273020.0640168171136168
0.9912.53725350571810.0312641829038593

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11.2550992920605 & 0.0339823912912052 \tabularnewline
0.02 & 11.2801294788883 & 0.0414221712820238 \tabularnewline
0.03 & 11.3075192699289 & 0.0448136200888754 \tabularnewline
0.04 & 11.3328251427276 & 0.0426076968254367 \tabularnewline
0.05 & 11.3542401933840 & 0.0372138344384276 \tabularnewline
0.06 & 11.3715525144782 & 0.0316292486798852 \tabularnewline
0.07 & 11.3855266921715 & 0.0281444462632504 \tabularnewline
0.08 & 11.3973797552846 & 0.0278226606812315 \tabularnewline
0.09 & 11.4083265662826 & 0.0302501033840524 \tabularnewline
0.1 & 11.4192795464250 & 0.0341547056777346 \tabularnewline
0.11 & 11.4307274811441 & 0.038173226840303 \tabularnewline
0.12 & 11.4427606286359 & 0.0413385175135491 \tabularnewline
0.13 & 11.4551852104912 & 0.0430998682350076 \tabularnewline
0.14 & 11.4676693216855 & 0.04338796578662 \tabularnewline
0.15 & 11.4798747407556 & 0.0424698412377353 \tabularnewline
0.16 & 11.4915478231062 & 0.040823676022072 \tabularnewline
0.17 & 11.5025613532912 & 0.0389832305505935 \tabularnewline
0.18 & 11.5129134030137 & 0.0374158172100322 \tabularnewline
0.19 & 11.5226969863693 & 0.0364148759204178 \tabularnewline
0.2 & 11.5320561129903 & 0.0360775412505015 \tabularnewline
0.21 & 11.5411415977580 & 0.0362926067840582 \tabularnewline
0.22 & 11.5500758514698 & 0.0368590107388487 \tabularnewline
0.23 & 11.5589315097103 & 0.0374655839996279 \tabularnewline
0.24 & 11.5677250475099 & 0.0378825634610532 \tabularnewline
0.25 & 11.5764237403385 & 0.0378969902558965 \tabularnewline
0.26 & 11.5849624314379 & 0.0374413178060464 \tabularnewline
0.27 & 11.5932654807606 & 0.0365249271306528 \tabularnewline
0.28 & 11.6012689891546 & 0.0352857133037026 \tabularnewline
0.29 & 11.6089389048580 & 0.0339232914806918 \tabularnewline
0.3 & 11.6162818311012 & 0.0326822967887303 \tabularnewline
0.31 & 11.6233470344552 & 0.0318101453851512 \tabularnewline
0.32 & 11.6302199731253 & 0.0314668285845389 \tabularnewline
0.33 & 11.6370092693516 & 0.0317676366592868 \tabularnewline
0.34 & 11.6438301465466 & 0.0326599097325108 \tabularnewline
0.35 & 11.6507877634951 & 0.0340434023983872 \tabularnewline
0.36 & 11.6579635728436 & 0.0357206007987902 \tabularnewline
0.37 & 11.6654069203786 & 0.0374817410203268 \tabularnewline
0.38 & 11.6731328146486 & 0.0391616092771383 \tabularnewline
0.39 & 11.681125434137 & 0.0406129706787297 \tabularnewline
0.4 & 11.6893458087437 & 0.0417502270073044 \tabularnewline
0.41 & 11.6977414558699 & 0.0425586495615622 \tabularnewline
0.42 & 11.7062556857699 & 0.0430424123883269 \tabularnewline
0.43 & 11.7148347786820 & 0.0432798430733356 \tabularnewline
0.44 & 11.7234320998434 & 0.0433238385856634 \tabularnewline
0.45 & 11.7320091937349 & 0.0431934099671563 \tabularnewline
0.46 & 11.7405347130927 & 0.0429462484033646 \tabularnewline
0.47 & 11.7489824865934 & 0.0425579293849901 \tabularnewline
0.48 & 11.7573300268141 & 0.0420512902874312 \tabularnewline
0.49 & 11.7655583753078 & 0.0414287856732048 \tabularnewline
0.5 & 11.7736535298733 & 0.0407130138202047 \tabularnewline
0.51 & 11.7816090098895 & 0.0399252264030077 \tabularnewline
0.52 & 11.7894285911291 & 0.0391606509772304 \tabularnewline
0.53 & 11.7971280248624 & 0.0384823529043641 \tabularnewline
0.54 & 11.8047347015001 & 0.0379787739286120 \tabularnewline
0.55 & 11.8122846868318 & 0.037695493835451 \tabularnewline
0.56 & 11.8198172315146 & 0.0376530928317877 \tabularnewline
0.57 & 11.8273675657644 & 0.0378085817814244 \tabularnewline
0.58 & 11.8349593627606 & 0.0380643280070777 \tabularnewline
0.59 & 11.8425985334898 & 0.0382942564981832 \tabularnewline
0.6 & 11.8502699120589 & 0.0383902168541492 \tabularnewline
0.61 & 11.8579379028997 & 0.0382152049784457 \tabularnewline
0.62 & 11.8655513881012 & 0.0376899942869066 \tabularnewline
0.63 & 11.8730523149205 & 0.0368037127636919 \tabularnewline
0.64 & 11.8803866171921 & 0.035595768214372 \tabularnewline
0.65 & 11.8875156586255 & 0.0341747287546748 \tabularnewline
0.66 & 11.8944263206669 & 0.0327077317614614 \tabularnewline
0.67 & 11.901138172504 & 0.0313588173051598 \tabularnewline
0.68 & 11.9077067304172 & 0.0303567471102466 \tabularnewline
0.69 & 11.9142224640007 & 0.0298386475775070 \tabularnewline
0.7 & 11.920805788287 & 0.0299604737720692 \tabularnewline
0.71 & 11.9275987222134 & 0.0307849258409474 \tabularnewline
0.72 & 11.9347542084458 & 0.0323302457346957 \tabularnewline
0.73 & 11.9424243314951 & 0.0345348392350591 \tabularnewline
0.74 & 11.9507488670027 & 0.0372642684505419 \tabularnewline
0.75 & 11.9598456941381 & 0.0403714983089489 \tabularnewline
0.76 & 11.9698044819676 & 0.0436612363039833 \tabularnewline
0.77 & 11.9806845931701 & 0.046988540882265 \tabularnewline
0.78 & 11.9925173086356 & 0.0502061086249149 \tabularnewline
0.79 & 12.0053114141640 & 0.053206558182271 \tabularnewline
0.8 & 12.0190602165977 & 0.0559769943316243 \tabularnewline
0.81 & 12.0337475202461 & 0.0584708159040468 \tabularnewline
0.82 & 12.0493502192048 & 0.0606733595337198 \tabularnewline
0.83 & 12.0658359925100 & 0.0625625899789702 \tabularnewline
0.84 & 12.0831561791759 & 0.0640613835565711 \tabularnewline
0.85 & 12.1012366462860 & 0.0650819525101078 \tabularnewline
0.86 & 12.1199740562598 & 0.0654693888483493 \tabularnewline
0.87 & 12.1392514033041 & 0.0651288951742 \tabularnewline
0.88 & 12.1589922883194 & 0.0640740009814804 \tabularnewline
0.89 & 12.1792712348413 & 0.0626583222681066 \tabularnewline
0.9 & 12.2004785510783 & 0.0617993322949518 \tabularnewline
0.91 & 12.2234984979139 & 0.0630655322510474 \tabularnewline
0.92 & 12.2498039249050 & 0.0682299719735072 \tabularnewline
0.93 & 12.2813101125056 & 0.0781252460854899 \tabularnewline
0.94 & 12.3197871736452 & 0.0914831629055523 \tabularnewline
0.95 & 12.3656949563979 & 0.104046769415093 \tabularnewline
0.96 & 12.4167056710138 & 0.10807507942898 \tabularnewline
0.97 & 12.4670303207961 & 0.0949710598171533 \tabularnewline
0.98 & 12.5090989827302 & 0.0640168171136168 \tabularnewline
0.99 & 12.5372535057181 & 0.0312641829038593 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42479&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]11.2550992920605[/C][C]0.0339823912912052[/C][/ROW]
[ROW][C]0.02[/C][C]11.2801294788883[/C][C]0.0414221712820238[/C][/ROW]
[ROW][C]0.03[/C][C]11.3075192699289[/C][C]0.0448136200888754[/C][/ROW]
[ROW][C]0.04[/C][C]11.3328251427276[/C][C]0.0426076968254367[/C][/ROW]
[ROW][C]0.05[/C][C]11.3542401933840[/C][C]0.0372138344384276[/C][/ROW]
[ROW][C]0.06[/C][C]11.3715525144782[/C][C]0.0316292486798852[/C][/ROW]
[ROW][C]0.07[/C][C]11.3855266921715[/C][C]0.0281444462632504[/C][/ROW]
[ROW][C]0.08[/C][C]11.3973797552846[/C][C]0.0278226606812315[/C][/ROW]
[ROW][C]0.09[/C][C]11.4083265662826[/C][C]0.0302501033840524[/C][/ROW]
[ROW][C]0.1[/C][C]11.4192795464250[/C][C]0.0341547056777346[/C][/ROW]
[ROW][C]0.11[/C][C]11.4307274811441[/C][C]0.038173226840303[/C][/ROW]
[ROW][C]0.12[/C][C]11.4427606286359[/C][C]0.0413385175135491[/C][/ROW]
[ROW][C]0.13[/C][C]11.4551852104912[/C][C]0.0430998682350076[/C][/ROW]
[ROW][C]0.14[/C][C]11.4676693216855[/C][C]0.04338796578662[/C][/ROW]
[ROW][C]0.15[/C][C]11.4798747407556[/C][C]0.0424698412377353[/C][/ROW]
[ROW][C]0.16[/C][C]11.4915478231062[/C][C]0.040823676022072[/C][/ROW]
[ROW][C]0.17[/C][C]11.5025613532912[/C][C]0.0389832305505935[/C][/ROW]
[ROW][C]0.18[/C][C]11.5129134030137[/C][C]0.0374158172100322[/C][/ROW]
[ROW][C]0.19[/C][C]11.5226969863693[/C][C]0.0364148759204178[/C][/ROW]
[ROW][C]0.2[/C][C]11.5320561129903[/C][C]0.0360775412505015[/C][/ROW]
[ROW][C]0.21[/C][C]11.5411415977580[/C][C]0.0362926067840582[/C][/ROW]
[ROW][C]0.22[/C][C]11.5500758514698[/C][C]0.0368590107388487[/C][/ROW]
[ROW][C]0.23[/C][C]11.5589315097103[/C][C]0.0374655839996279[/C][/ROW]
[ROW][C]0.24[/C][C]11.5677250475099[/C][C]0.0378825634610532[/C][/ROW]
[ROW][C]0.25[/C][C]11.5764237403385[/C][C]0.0378969902558965[/C][/ROW]
[ROW][C]0.26[/C][C]11.5849624314379[/C][C]0.0374413178060464[/C][/ROW]
[ROW][C]0.27[/C][C]11.5932654807606[/C][C]0.0365249271306528[/C][/ROW]
[ROW][C]0.28[/C][C]11.6012689891546[/C][C]0.0352857133037026[/C][/ROW]
[ROW][C]0.29[/C][C]11.6089389048580[/C][C]0.0339232914806918[/C][/ROW]
[ROW][C]0.3[/C][C]11.6162818311012[/C][C]0.0326822967887303[/C][/ROW]
[ROW][C]0.31[/C][C]11.6233470344552[/C][C]0.0318101453851512[/C][/ROW]
[ROW][C]0.32[/C][C]11.6302199731253[/C][C]0.0314668285845389[/C][/ROW]
[ROW][C]0.33[/C][C]11.6370092693516[/C][C]0.0317676366592868[/C][/ROW]
[ROW][C]0.34[/C][C]11.6438301465466[/C][C]0.0326599097325108[/C][/ROW]
[ROW][C]0.35[/C][C]11.6507877634951[/C][C]0.0340434023983872[/C][/ROW]
[ROW][C]0.36[/C][C]11.6579635728436[/C][C]0.0357206007987902[/C][/ROW]
[ROW][C]0.37[/C][C]11.6654069203786[/C][C]0.0374817410203268[/C][/ROW]
[ROW][C]0.38[/C][C]11.6731328146486[/C][C]0.0391616092771383[/C][/ROW]
[ROW][C]0.39[/C][C]11.681125434137[/C][C]0.0406129706787297[/C][/ROW]
[ROW][C]0.4[/C][C]11.6893458087437[/C][C]0.0417502270073044[/C][/ROW]
[ROW][C]0.41[/C][C]11.6977414558699[/C][C]0.0425586495615622[/C][/ROW]
[ROW][C]0.42[/C][C]11.7062556857699[/C][C]0.0430424123883269[/C][/ROW]
[ROW][C]0.43[/C][C]11.7148347786820[/C][C]0.0432798430733356[/C][/ROW]
[ROW][C]0.44[/C][C]11.7234320998434[/C][C]0.0433238385856634[/C][/ROW]
[ROW][C]0.45[/C][C]11.7320091937349[/C][C]0.0431934099671563[/C][/ROW]
[ROW][C]0.46[/C][C]11.7405347130927[/C][C]0.0429462484033646[/C][/ROW]
[ROW][C]0.47[/C][C]11.7489824865934[/C][C]0.0425579293849901[/C][/ROW]
[ROW][C]0.48[/C][C]11.7573300268141[/C][C]0.0420512902874312[/C][/ROW]
[ROW][C]0.49[/C][C]11.7655583753078[/C][C]0.0414287856732048[/C][/ROW]
[ROW][C]0.5[/C][C]11.7736535298733[/C][C]0.0407130138202047[/C][/ROW]
[ROW][C]0.51[/C][C]11.7816090098895[/C][C]0.0399252264030077[/C][/ROW]
[ROW][C]0.52[/C][C]11.7894285911291[/C][C]0.0391606509772304[/C][/ROW]
[ROW][C]0.53[/C][C]11.7971280248624[/C][C]0.0384823529043641[/C][/ROW]
[ROW][C]0.54[/C][C]11.8047347015001[/C][C]0.0379787739286120[/C][/ROW]
[ROW][C]0.55[/C][C]11.8122846868318[/C][C]0.037695493835451[/C][/ROW]
[ROW][C]0.56[/C][C]11.8198172315146[/C][C]0.0376530928317877[/C][/ROW]
[ROW][C]0.57[/C][C]11.8273675657644[/C][C]0.0378085817814244[/C][/ROW]
[ROW][C]0.58[/C][C]11.8349593627606[/C][C]0.0380643280070777[/C][/ROW]
[ROW][C]0.59[/C][C]11.8425985334898[/C][C]0.0382942564981832[/C][/ROW]
[ROW][C]0.6[/C][C]11.8502699120589[/C][C]0.0383902168541492[/C][/ROW]
[ROW][C]0.61[/C][C]11.8579379028997[/C][C]0.0382152049784457[/C][/ROW]
[ROW][C]0.62[/C][C]11.8655513881012[/C][C]0.0376899942869066[/C][/ROW]
[ROW][C]0.63[/C][C]11.8730523149205[/C][C]0.0368037127636919[/C][/ROW]
[ROW][C]0.64[/C][C]11.8803866171921[/C][C]0.035595768214372[/C][/ROW]
[ROW][C]0.65[/C][C]11.8875156586255[/C][C]0.0341747287546748[/C][/ROW]
[ROW][C]0.66[/C][C]11.8944263206669[/C][C]0.0327077317614614[/C][/ROW]
[ROW][C]0.67[/C][C]11.901138172504[/C][C]0.0313588173051598[/C][/ROW]
[ROW][C]0.68[/C][C]11.9077067304172[/C][C]0.0303567471102466[/C][/ROW]
[ROW][C]0.69[/C][C]11.9142224640007[/C][C]0.0298386475775070[/C][/ROW]
[ROW][C]0.7[/C][C]11.920805788287[/C][C]0.0299604737720692[/C][/ROW]
[ROW][C]0.71[/C][C]11.9275987222134[/C][C]0.0307849258409474[/C][/ROW]
[ROW][C]0.72[/C][C]11.9347542084458[/C][C]0.0323302457346957[/C][/ROW]
[ROW][C]0.73[/C][C]11.9424243314951[/C][C]0.0345348392350591[/C][/ROW]
[ROW][C]0.74[/C][C]11.9507488670027[/C][C]0.0372642684505419[/C][/ROW]
[ROW][C]0.75[/C][C]11.9598456941381[/C][C]0.0403714983089489[/C][/ROW]
[ROW][C]0.76[/C][C]11.9698044819676[/C][C]0.0436612363039833[/C][/ROW]
[ROW][C]0.77[/C][C]11.9806845931701[/C][C]0.046988540882265[/C][/ROW]
[ROW][C]0.78[/C][C]11.9925173086356[/C][C]0.0502061086249149[/C][/ROW]
[ROW][C]0.79[/C][C]12.0053114141640[/C][C]0.053206558182271[/C][/ROW]
[ROW][C]0.8[/C][C]12.0190602165977[/C][C]0.0559769943316243[/C][/ROW]
[ROW][C]0.81[/C][C]12.0337475202461[/C][C]0.0584708159040468[/C][/ROW]
[ROW][C]0.82[/C][C]12.0493502192048[/C][C]0.0606733595337198[/C][/ROW]
[ROW][C]0.83[/C][C]12.0658359925100[/C][C]0.0625625899789702[/C][/ROW]
[ROW][C]0.84[/C][C]12.0831561791759[/C][C]0.0640613835565711[/C][/ROW]
[ROW][C]0.85[/C][C]12.1012366462860[/C][C]0.0650819525101078[/C][/ROW]
[ROW][C]0.86[/C][C]12.1199740562598[/C][C]0.0654693888483493[/C][/ROW]
[ROW][C]0.87[/C][C]12.1392514033041[/C][C]0.0651288951742[/C][/ROW]
[ROW][C]0.88[/C][C]12.1589922883194[/C][C]0.0640740009814804[/C][/ROW]
[ROW][C]0.89[/C][C]12.1792712348413[/C][C]0.0626583222681066[/C][/ROW]
[ROW][C]0.9[/C][C]12.2004785510783[/C][C]0.0617993322949518[/C][/ROW]
[ROW][C]0.91[/C][C]12.2234984979139[/C][C]0.0630655322510474[/C][/ROW]
[ROW][C]0.92[/C][C]12.2498039249050[/C][C]0.0682299719735072[/C][/ROW]
[ROW][C]0.93[/C][C]12.2813101125056[/C][C]0.0781252460854899[/C][/ROW]
[ROW][C]0.94[/C][C]12.3197871736452[/C][C]0.0914831629055523[/C][/ROW]
[ROW][C]0.95[/C][C]12.3656949563979[/C][C]0.104046769415093[/C][/ROW]
[ROW][C]0.96[/C][C]12.4167056710138[/C][C]0.10807507942898[/C][/ROW]
[ROW][C]0.97[/C][C]12.4670303207961[/C][C]0.0949710598171533[/C][/ROW]
[ROW][C]0.98[/C][C]12.5090989827302[/C][C]0.0640168171136168[/C][/ROW]
[ROW][C]0.99[/C][C]12.5372535057181[/C][C]0.0312641829038593[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42479&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42479&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
0.0111.25509929206050.0339823912912052
0.0211.28012947888830.0414221712820238
0.0311.30751926992890.0448136200888754
0.0411.33282514272760.0426076968254367
0.0511.35424019338400.0372138344384276
0.0611.37155251447820.0316292486798852
0.0711.38552669217150.0281444462632504
0.0811.39737975528460.0278226606812315
0.0911.40832656628260.0302501033840524
0.111.41927954642500.0341547056777346
0.1111.43072748114410.038173226840303
0.1211.44276062863590.0413385175135491
0.1311.45518521049120.0430998682350076
0.1411.46766932168550.04338796578662
0.1511.47987474075560.0424698412377353
0.1611.49154782310620.040823676022072
0.1711.50256135329120.0389832305505935
0.1811.51291340301370.0374158172100322
0.1911.52269698636930.0364148759204178
0.211.53205611299030.0360775412505015
0.2111.54114159775800.0362926067840582
0.2211.55007585146980.0368590107388487
0.2311.55893150971030.0374655839996279
0.2411.56772504750990.0378825634610532
0.2511.57642374033850.0378969902558965
0.2611.58496243143790.0374413178060464
0.2711.59326548076060.0365249271306528
0.2811.60126898915460.0352857133037026
0.2911.60893890485800.0339232914806918
0.311.61628183110120.0326822967887303
0.3111.62334703445520.0318101453851512
0.3211.63021997312530.0314668285845389
0.3311.63700926935160.0317676366592868
0.3411.64383014654660.0326599097325108
0.3511.65078776349510.0340434023983872
0.3611.65796357284360.0357206007987902
0.3711.66540692037860.0374817410203268
0.3811.67313281464860.0391616092771383
0.3911.6811254341370.0406129706787297
0.411.68934580874370.0417502270073044
0.4111.69774145586990.0425586495615622
0.4211.70625568576990.0430424123883269
0.4311.71483477868200.0432798430733356
0.4411.72343209984340.0433238385856634
0.4511.73200919373490.0431934099671563
0.4611.74053471309270.0429462484033646
0.4711.74898248659340.0425579293849901
0.4811.75733002681410.0420512902874312
0.4911.76555837530780.0414287856732048
0.511.77365352987330.0407130138202047
0.5111.78160900988950.0399252264030077
0.5211.78942859112910.0391606509772304
0.5311.79712802486240.0384823529043641
0.5411.80473470150010.0379787739286120
0.5511.81228468683180.037695493835451
0.5611.81981723151460.0376530928317877
0.5711.82736756576440.0378085817814244
0.5811.83495936276060.0380643280070777
0.5911.84259853348980.0382942564981832
0.611.85026991205890.0383902168541492
0.6111.85793790289970.0382152049784457
0.6211.86555138810120.0376899942869066
0.6311.87305231492050.0368037127636919
0.6411.88038661719210.035595768214372
0.6511.88751565862550.0341747287546748
0.6611.89442632066690.0327077317614614
0.6711.9011381725040.0313588173051598
0.6811.90770673041720.0303567471102466
0.6911.91422246400070.0298386475775070
0.711.9208057882870.0299604737720692
0.7111.92759872221340.0307849258409474
0.7211.93475420844580.0323302457346957
0.7311.94242433149510.0345348392350591
0.7411.95074886700270.0372642684505419
0.7511.95984569413810.0403714983089489
0.7611.96980448196760.0436612363039833
0.7711.98068459317010.046988540882265
0.7811.99251730863560.0502061086249149
0.7912.00531141416400.053206558182271
0.812.01906021659770.0559769943316243
0.8112.03374752024610.0584708159040468
0.8212.04935021920480.0606733595337198
0.8312.06583599251000.0625625899789702
0.8412.08315617917590.0640613835565711
0.8512.10123664628600.0650819525101078
0.8612.11997405625980.0654693888483493
0.8712.13925140330410.0651288951742
0.8812.15899228831940.0640740009814804
0.8912.17927123484130.0626583222681066
0.912.20047855107830.0617993322949518
0.9112.22349849791390.0630655322510474
0.9212.24980392490500.0682299719735072
0.9312.28131011250560.0781252460854899
0.9412.31978717364520.0914831629055523
0.9512.36569495639790.104046769415093
0.9612.41670567101380.10807507942898
0.9712.46703032079610.0949710598171533
0.9812.50909898273020.0640168171136168
0.9912.53725350571810.0312641829038593



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')