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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Feb 2014 12:47:40 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t1392572896hoepiws7jbys9rq.htm/, Retrieved Wed, 15 May 2024 01:28:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233798, Retrieved Wed, 15 May 2024 01:28:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [] [2014-02-13 13:19:11] [6261dc9631ed0b67e409910aed7f2e7e]
- RMPD    [Harrell-Davis Quantiles] [] [2014-02-16 17:47:40] [45a206086251edfa7ba367c121fe1722] [Current]
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Dataseries X:
6
6.7
-0.6
5.8
16.4
1.5
5.1
14.7
4.3
1.5
9.1
4.3
5.7
13
14.5
9.7
-4.7
7.3
5.2
-2.5
11.5
4.9
-2.4
-0.3
4.4
7.9
-9.7
-4.1
16.4
-4.9
3.5
3.8
-0.2
3.1
0.7
-2.8
5.9
-5.3
-2.9
6.6
-8.1
1.3
6.9
-7.2
-1.9
4
-5.7
3.9
-7.6
-0.9
7.3
-3.7
-2.5
9.3
1.3
9.5
11.3
-1.7
8
-4.8
1.6
1.9
-0.9
5.5
1.7
-5.4
1.9
0.2
-13.3
-8.2
0.2
5.7
-1.2
-2.8
5.5
-17.3
1.4
-2.2
-8.6
-5
4.1
0.7
-4.2
-2.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233798&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233798&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233798&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-15.68914023761293.64328715788169
0.02-13.4102867305643.15672728449335
0.03-11.39849173058852.49407525516682
0.04-9.943209758108441.82084933271106
0.05-8.959446506322121.34908511132876
0.06-8.274668675838081.14271579050037
0.07-7.746102152686441.12176407194522
0.08-7.287134964312431.1647373850806
0.09-6.85952685987121.18985629200471
0.1-6.455461420061781.1647606967828
0.11-6.080303360250681.09227686745623
0.12-5.740616072789280.994729113214349
0.13-5.438240342502550.899793959733814
0.14-5.169210852405160.829763816185995
0.15-4.925528559342980.795259696405324
0.16-4.69791383711950.794160368014859
0.17-4.478239817434990.815469584266723
0.18-4.261018768893420.845263660817373
0.19-4.043844266606420.871133616761968
0.2-3.82699907977560.884542389020594
0.21-3.612556976598730.881563391497906
0.22-3.403306630408720.86279313146926
0.23-3.201765645908470.832513913470894
0.24-3.009466279998990.797367587741866
0.25-2.826600132647340.76478539603176
0.26-2.652020475681220.741362812354112
0.27-2.483530483683550.731515137434298
0.28-2.31834304419210.736690516160158
0.29-2.153586661638230.755422885119846
0.3-1.986748746134570.784170461284815
0.31-1.815983292595160.818426571531407
0.32-1.640253191136740.853790792694634
0.33-1.459317460741780.886619001649055
0.34-1.273602756100440.914382947028291
0.35-1.084012642877320.93569328162708
0.36-0.8917273240953560.950103934085472
0.37-0.6980338423143230.957810526451622
0.38-0.5042074006334150.959299034819922
0.39-0.3114441270179980.955093694061724
0.4-0.1208295036007360.945644903180443
0.410.06668170160095670.931378117122849
0.420.250297532228370.912880924641551
0.430.429447809084050.891147263936616
0.440.6038708465198110.867797691978245
0.450.7737135234518160.845193037276118
0.460.9396179350158820.8263582891332
0.471.102762011335740.81467412171981
0.481.264824450785780.813313189402884
0.491.427856373504660.82447333592086
0.51.594061319122620.848662083867322
0.511.765507596376760.88424427440661
0.521.94381718991340.927520306112313
0.532.129887909238580.973274361418411
0.542.323705961380521.01561454475796
0.552.524292999216861.0489380448139
0.562.729806749082061.06880252155497
0.572.937782750326951.07261090785191
0.583.145474041987941.05995468617163
0.593.35022368475691.03259065097729
0.63.549797837377180.994014523246475
0.613.7426170431780.948749149184107
0.623.927848211833410.901446233170103
0.634.105353240733120.856014122444136
0.644.275523701750550.814979975935735
0.654.439055964949980.779205035235732
0.664.596731376644530.748150280418064
0.674.749259482981860.720442091543799
0.684.897221051389540.694649941986707
0.695.041117734752640.669995625374147
0.75.181504652672960.646756281050995
0.715.319158988163150.62637983028585
0.725.455228106949940.611185981880366
0.735.591307531290960.603806478078828
0.745.729420937478760.606407829517052
0.755.871905435966210.620047921821089
0.766.021236442925060.644323406578857
0.776.179846657961190.677639270417353
0.786.349994030620160.717827223501469
0.796.533711148533040.762915975179317
0.86.732830006088960.811591324989527
0.816.949039170292130.863238770900818
0.827.18391877363810.917446710409229
0.837.438931191726230.973338605763568
0.847.715419235697641.02920535622623
0.858.014743568440291.08304558054688
0.868.338713022799361.1342109964614
0.878.69036470572991.18545010503571
0.889.074925499546251.24399640736173
0.899.500506003906481.31972588856916
0.99.977879699269691.41987453596173
0.9110.51873509676971.54248904172077
0.9211.13221122284091.67194288653191
0.9311.82049328085271.7783921141092
0.9412.57554936667781.82360078201667
0.9513.37913612203991.7780407791357
0.9614.20398483282961.64348995496342
0.9715.00680069212291.43778054934901
0.9815.70893154554871.10623034303654
0.9916.19676761499990.552973694613977

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -15.6891402376129 & 3.64328715788169 \tabularnewline
0.02 & -13.410286730564 & 3.15672728449335 \tabularnewline
0.03 & -11.3984917305885 & 2.49407525516682 \tabularnewline
0.04 & -9.94320975810844 & 1.82084933271106 \tabularnewline
0.05 & -8.95944650632212 & 1.34908511132876 \tabularnewline
0.06 & -8.27466867583808 & 1.14271579050037 \tabularnewline
0.07 & -7.74610215268644 & 1.12176407194522 \tabularnewline
0.08 & -7.28713496431243 & 1.1647373850806 \tabularnewline
0.09 & -6.8595268598712 & 1.18985629200471 \tabularnewline
0.1 & -6.45546142006178 & 1.1647606967828 \tabularnewline
0.11 & -6.08030336025068 & 1.09227686745623 \tabularnewline
0.12 & -5.74061607278928 & 0.994729113214349 \tabularnewline
0.13 & -5.43824034250255 & 0.899793959733814 \tabularnewline
0.14 & -5.16921085240516 & 0.829763816185995 \tabularnewline
0.15 & -4.92552855934298 & 0.795259696405324 \tabularnewline
0.16 & -4.6979138371195 & 0.794160368014859 \tabularnewline
0.17 & -4.47823981743499 & 0.815469584266723 \tabularnewline
0.18 & -4.26101876889342 & 0.845263660817373 \tabularnewline
0.19 & -4.04384426660642 & 0.871133616761968 \tabularnewline
0.2 & -3.8269990797756 & 0.884542389020594 \tabularnewline
0.21 & -3.61255697659873 & 0.881563391497906 \tabularnewline
0.22 & -3.40330663040872 & 0.86279313146926 \tabularnewline
0.23 & -3.20176564590847 & 0.832513913470894 \tabularnewline
0.24 & -3.00946627999899 & 0.797367587741866 \tabularnewline
0.25 & -2.82660013264734 & 0.76478539603176 \tabularnewline
0.26 & -2.65202047568122 & 0.741362812354112 \tabularnewline
0.27 & -2.48353048368355 & 0.731515137434298 \tabularnewline
0.28 & -2.3183430441921 & 0.736690516160158 \tabularnewline
0.29 & -2.15358666163823 & 0.755422885119846 \tabularnewline
0.3 & -1.98674874613457 & 0.784170461284815 \tabularnewline
0.31 & -1.81598329259516 & 0.818426571531407 \tabularnewline
0.32 & -1.64025319113674 & 0.853790792694634 \tabularnewline
0.33 & -1.45931746074178 & 0.886619001649055 \tabularnewline
0.34 & -1.27360275610044 & 0.914382947028291 \tabularnewline
0.35 & -1.08401264287732 & 0.93569328162708 \tabularnewline
0.36 & -0.891727324095356 & 0.950103934085472 \tabularnewline
0.37 & -0.698033842314323 & 0.957810526451622 \tabularnewline
0.38 & -0.504207400633415 & 0.959299034819922 \tabularnewline
0.39 & -0.311444127017998 & 0.955093694061724 \tabularnewline
0.4 & -0.120829503600736 & 0.945644903180443 \tabularnewline
0.41 & 0.0666817016009567 & 0.931378117122849 \tabularnewline
0.42 & 0.25029753222837 & 0.912880924641551 \tabularnewline
0.43 & 0.42944780908405 & 0.891147263936616 \tabularnewline
0.44 & 0.603870846519811 & 0.867797691978245 \tabularnewline
0.45 & 0.773713523451816 & 0.845193037276118 \tabularnewline
0.46 & 0.939617935015882 & 0.8263582891332 \tabularnewline
0.47 & 1.10276201133574 & 0.81467412171981 \tabularnewline
0.48 & 1.26482445078578 & 0.813313189402884 \tabularnewline
0.49 & 1.42785637350466 & 0.82447333592086 \tabularnewline
0.5 & 1.59406131912262 & 0.848662083867322 \tabularnewline
0.51 & 1.76550759637676 & 0.88424427440661 \tabularnewline
0.52 & 1.9438171899134 & 0.927520306112313 \tabularnewline
0.53 & 2.12988790923858 & 0.973274361418411 \tabularnewline
0.54 & 2.32370596138052 & 1.01561454475796 \tabularnewline
0.55 & 2.52429299921686 & 1.0489380448139 \tabularnewline
0.56 & 2.72980674908206 & 1.06880252155497 \tabularnewline
0.57 & 2.93778275032695 & 1.07261090785191 \tabularnewline
0.58 & 3.14547404198794 & 1.05995468617163 \tabularnewline
0.59 & 3.3502236847569 & 1.03259065097729 \tabularnewline
0.6 & 3.54979783737718 & 0.994014523246475 \tabularnewline
0.61 & 3.742617043178 & 0.948749149184107 \tabularnewline
0.62 & 3.92784821183341 & 0.901446233170103 \tabularnewline
0.63 & 4.10535324073312 & 0.856014122444136 \tabularnewline
0.64 & 4.27552370175055 & 0.814979975935735 \tabularnewline
0.65 & 4.43905596494998 & 0.779205035235732 \tabularnewline
0.66 & 4.59673137664453 & 0.748150280418064 \tabularnewline
0.67 & 4.74925948298186 & 0.720442091543799 \tabularnewline
0.68 & 4.89722105138954 & 0.694649941986707 \tabularnewline
0.69 & 5.04111773475264 & 0.669995625374147 \tabularnewline
0.7 & 5.18150465267296 & 0.646756281050995 \tabularnewline
0.71 & 5.31915898816315 & 0.62637983028585 \tabularnewline
0.72 & 5.45522810694994 & 0.611185981880366 \tabularnewline
0.73 & 5.59130753129096 & 0.603806478078828 \tabularnewline
0.74 & 5.72942093747876 & 0.606407829517052 \tabularnewline
0.75 & 5.87190543596621 & 0.620047921821089 \tabularnewline
0.76 & 6.02123644292506 & 0.644323406578857 \tabularnewline
0.77 & 6.17984665796119 & 0.677639270417353 \tabularnewline
0.78 & 6.34999403062016 & 0.717827223501469 \tabularnewline
0.79 & 6.53371114853304 & 0.762915975179317 \tabularnewline
0.8 & 6.73283000608896 & 0.811591324989527 \tabularnewline
0.81 & 6.94903917029213 & 0.863238770900818 \tabularnewline
0.82 & 7.1839187736381 & 0.917446710409229 \tabularnewline
0.83 & 7.43893119172623 & 0.973338605763568 \tabularnewline
0.84 & 7.71541923569764 & 1.02920535622623 \tabularnewline
0.85 & 8.01474356844029 & 1.08304558054688 \tabularnewline
0.86 & 8.33871302279936 & 1.1342109964614 \tabularnewline
0.87 & 8.6903647057299 & 1.18545010503571 \tabularnewline
0.88 & 9.07492549954625 & 1.24399640736173 \tabularnewline
0.89 & 9.50050600390648 & 1.31972588856916 \tabularnewline
0.9 & 9.97787969926969 & 1.41987453596173 \tabularnewline
0.91 & 10.5187350967697 & 1.54248904172077 \tabularnewline
0.92 & 11.1322112228409 & 1.67194288653191 \tabularnewline
0.93 & 11.8204932808527 & 1.7783921141092 \tabularnewline
0.94 & 12.5755493666778 & 1.82360078201667 \tabularnewline
0.95 & 13.3791361220399 & 1.7780407791357 \tabularnewline
0.96 & 14.2039848328296 & 1.64348995496342 \tabularnewline
0.97 & 15.0068006921229 & 1.43778054934901 \tabularnewline
0.98 & 15.7089315455487 & 1.10623034303654 \tabularnewline
0.99 & 16.1967676149999 & 0.552973694613977 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233798&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]-15.6891402376129[/C][C]3.64328715788169[/C][/ROW]
[ROW][C]0.02[/C][C]-13.410286730564[/C][C]3.15672728449335[/C][/ROW]
[ROW][C]0.03[/C][C]-11.3984917305885[/C][C]2.49407525516682[/C][/ROW]
[ROW][C]0.04[/C][C]-9.94320975810844[/C][C]1.82084933271106[/C][/ROW]
[ROW][C]0.05[/C][C]-8.95944650632212[/C][C]1.34908511132876[/C][/ROW]
[ROW][C]0.06[/C][C]-8.27466867583808[/C][C]1.14271579050037[/C][/ROW]
[ROW][C]0.07[/C][C]-7.74610215268644[/C][C]1.12176407194522[/C][/ROW]
[ROW][C]0.08[/C][C]-7.28713496431243[/C][C]1.1647373850806[/C][/ROW]
[ROW][C]0.09[/C][C]-6.8595268598712[/C][C]1.18985629200471[/C][/ROW]
[ROW][C]0.1[/C][C]-6.45546142006178[/C][C]1.1647606967828[/C][/ROW]
[ROW][C]0.11[/C][C]-6.08030336025068[/C][C]1.09227686745623[/C][/ROW]
[ROW][C]0.12[/C][C]-5.74061607278928[/C][C]0.994729113214349[/C][/ROW]
[ROW][C]0.13[/C][C]-5.43824034250255[/C][C]0.899793959733814[/C][/ROW]
[ROW][C]0.14[/C][C]-5.16921085240516[/C][C]0.829763816185995[/C][/ROW]
[ROW][C]0.15[/C][C]-4.92552855934298[/C][C]0.795259696405324[/C][/ROW]
[ROW][C]0.16[/C][C]-4.6979138371195[/C][C]0.794160368014859[/C][/ROW]
[ROW][C]0.17[/C][C]-4.47823981743499[/C][C]0.815469584266723[/C][/ROW]
[ROW][C]0.18[/C][C]-4.26101876889342[/C][C]0.845263660817373[/C][/ROW]
[ROW][C]0.19[/C][C]-4.04384426660642[/C][C]0.871133616761968[/C][/ROW]
[ROW][C]0.2[/C][C]-3.8269990797756[/C][C]0.884542389020594[/C][/ROW]
[ROW][C]0.21[/C][C]-3.61255697659873[/C][C]0.881563391497906[/C][/ROW]
[ROW][C]0.22[/C][C]-3.40330663040872[/C][C]0.86279313146926[/C][/ROW]
[ROW][C]0.23[/C][C]-3.20176564590847[/C][C]0.832513913470894[/C][/ROW]
[ROW][C]0.24[/C][C]-3.00946627999899[/C][C]0.797367587741866[/C][/ROW]
[ROW][C]0.25[/C][C]-2.82660013264734[/C][C]0.76478539603176[/C][/ROW]
[ROW][C]0.26[/C][C]-2.65202047568122[/C][C]0.741362812354112[/C][/ROW]
[ROW][C]0.27[/C][C]-2.48353048368355[/C][C]0.731515137434298[/C][/ROW]
[ROW][C]0.28[/C][C]-2.3183430441921[/C][C]0.736690516160158[/C][/ROW]
[ROW][C]0.29[/C][C]-2.15358666163823[/C][C]0.755422885119846[/C][/ROW]
[ROW][C]0.3[/C][C]-1.98674874613457[/C][C]0.784170461284815[/C][/ROW]
[ROW][C]0.31[/C][C]-1.81598329259516[/C][C]0.818426571531407[/C][/ROW]
[ROW][C]0.32[/C][C]-1.64025319113674[/C][C]0.853790792694634[/C][/ROW]
[ROW][C]0.33[/C][C]-1.45931746074178[/C][C]0.886619001649055[/C][/ROW]
[ROW][C]0.34[/C][C]-1.27360275610044[/C][C]0.914382947028291[/C][/ROW]
[ROW][C]0.35[/C][C]-1.08401264287732[/C][C]0.93569328162708[/C][/ROW]
[ROW][C]0.36[/C][C]-0.891727324095356[/C][C]0.950103934085472[/C][/ROW]
[ROW][C]0.37[/C][C]-0.698033842314323[/C][C]0.957810526451622[/C][/ROW]
[ROW][C]0.38[/C][C]-0.504207400633415[/C][C]0.959299034819922[/C][/ROW]
[ROW][C]0.39[/C][C]-0.311444127017998[/C][C]0.955093694061724[/C][/ROW]
[ROW][C]0.4[/C][C]-0.120829503600736[/C][C]0.945644903180443[/C][/ROW]
[ROW][C]0.41[/C][C]0.0666817016009567[/C][C]0.931378117122849[/C][/ROW]
[ROW][C]0.42[/C][C]0.25029753222837[/C][C]0.912880924641551[/C][/ROW]
[ROW][C]0.43[/C][C]0.42944780908405[/C][C]0.891147263936616[/C][/ROW]
[ROW][C]0.44[/C][C]0.603870846519811[/C][C]0.867797691978245[/C][/ROW]
[ROW][C]0.45[/C][C]0.773713523451816[/C][C]0.845193037276118[/C][/ROW]
[ROW][C]0.46[/C][C]0.939617935015882[/C][C]0.8263582891332[/C][/ROW]
[ROW][C]0.47[/C][C]1.10276201133574[/C][C]0.81467412171981[/C][/ROW]
[ROW][C]0.48[/C][C]1.26482445078578[/C][C]0.813313189402884[/C][/ROW]
[ROW][C]0.49[/C][C]1.42785637350466[/C][C]0.82447333592086[/C][/ROW]
[ROW][C]0.5[/C][C]1.59406131912262[/C][C]0.848662083867322[/C][/ROW]
[ROW][C]0.51[/C][C]1.76550759637676[/C][C]0.88424427440661[/C][/ROW]
[ROW][C]0.52[/C][C]1.9438171899134[/C][C]0.927520306112313[/C][/ROW]
[ROW][C]0.53[/C][C]2.12988790923858[/C][C]0.973274361418411[/C][/ROW]
[ROW][C]0.54[/C][C]2.32370596138052[/C][C]1.01561454475796[/C][/ROW]
[ROW][C]0.55[/C][C]2.52429299921686[/C][C]1.0489380448139[/C][/ROW]
[ROW][C]0.56[/C][C]2.72980674908206[/C][C]1.06880252155497[/C][/ROW]
[ROW][C]0.57[/C][C]2.93778275032695[/C][C]1.07261090785191[/C][/ROW]
[ROW][C]0.58[/C][C]3.14547404198794[/C][C]1.05995468617163[/C][/ROW]
[ROW][C]0.59[/C][C]3.3502236847569[/C][C]1.03259065097729[/C][/ROW]
[ROW][C]0.6[/C][C]3.54979783737718[/C][C]0.994014523246475[/C][/ROW]
[ROW][C]0.61[/C][C]3.742617043178[/C][C]0.948749149184107[/C][/ROW]
[ROW][C]0.62[/C][C]3.92784821183341[/C][C]0.901446233170103[/C][/ROW]
[ROW][C]0.63[/C][C]4.10535324073312[/C][C]0.856014122444136[/C][/ROW]
[ROW][C]0.64[/C][C]4.27552370175055[/C][C]0.814979975935735[/C][/ROW]
[ROW][C]0.65[/C][C]4.43905596494998[/C][C]0.779205035235732[/C][/ROW]
[ROW][C]0.66[/C][C]4.59673137664453[/C][C]0.748150280418064[/C][/ROW]
[ROW][C]0.67[/C][C]4.74925948298186[/C][C]0.720442091543799[/C][/ROW]
[ROW][C]0.68[/C][C]4.89722105138954[/C][C]0.694649941986707[/C][/ROW]
[ROW][C]0.69[/C][C]5.04111773475264[/C][C]0.669995625374147[/C][/ROW]
[ROW][C]0.7[/C][C]5.18150465267296[/C][C]0.646756281050995[/C][/ROW]
[ROW][C]0.71[/C][C]5.31915898816315[/C][C]0.62637983028585[/C][/ROW]
[ROW][C]0.72[/C][C]5.45522810694994[/C][C]0.611185981880366[/C][/ROW]
[ROW][C]0.73[/C][C]5.59130753129096[/C][C]0.603806478078828[/C][/ROW]
[ROW][C]0.74[/C][C]5.72942093747876[/C][C]0.606407829517052[/C][/ROW]
[ROW][C]0.75[/C][C]5.87190543596621[/C][C]0.620047921821089[/C][/ROW]
[ROW][C]0.76[/C][C]6.02123644292506[/C][C]0.644323406578857[/C][/ROW]
[ROW][C]0.77[/C][C]6.17984665796119[/C][C]0.677639270417353[/C][/ROW]
[ROW][C]0.78[/C][C]6.34999403062016[/C][C]0.717827223501469[/C][/ROW]
[ROW][C]0.79[/C][C]6.53371114853304[/C][C]0.762915975179317[/C][/ROW]
[ROW][C]0.8[/C][C]6.73283000608896[/C][C]0.811591324989527[/C][/ROW]
[ROW][C]0.81[/C][C]6.94903917029213[/C][C]0.863238770900818[/C][/ROW]
[ROW][C]0.82[/C][C]7.1839187736381[/C][C]0.917446710409229[/C][/ROW]
[ROW][C]0.83[/C][C]7.43893119172623[/C][C]0.973338605763568[/C][/ROW]
[ROW][C]0.84[/C][C]7.71541923569764[/C][C]1.02920535622623[/C][/ROW]
[ROW][C]0.85[/C][C]8.01474356844029[/C][C]1.08304558054688[/C][/ROW]
[ROW][C]0.86[/C][C]8.33871302279936[/C][C]1.1342109964614[/C][/ROW]
[ROW][C]0.87[/C][C]8.6903647057299[/C][C]1.18545010503571[/C][/ROW]
[ROW][C]0.88[/C][C]9.07492549954625[/C][C]1.24399640736173[/C][/ROW]
[ROW][C]0.89[/C][C]9.50050600390648[/C][C]1.31972588856916[/C][/ROW]
[ROW][C]0.9[/C][C]9.97787969926969[/C][C]1.41987453596173[/C][/ROW]
[ROW][C]0.91[/C][C]10.5187350967697[/C][C]1.54248904172077[/C][/ROW]
[ROW][C]0.92[/C][C]11.1322112228409[/C][C]1.67194288653191[/C][/ROW]
[ROW][C]0.93[/C][C]11.8204932808527[/C][C]1.7783921141092[/C][/ROW]
[ROW][C]0.94[/C][C]12.5755493666778[/C][C]1.82360078201667[/C][/ROW]
[ROW][C]0.95[/C][C]13.3791361220399[/C][C]1.7780407791357[/C][/ROW]
[ROW][C]0.96[/C][C]14.2039848328296[/C][C]1.64348995496342[/C][/ROW]
[ROW][C]0.97[/C][C]15.0068006921229[/C][C]1.43778054934901[/C][/ROW]
[ROW][C]0.98[/C][C]15.7089315455487[/C][C]1.10623034303654[/C][/ROW]
[ROW][C]0.99[/C][C]16.1967676149999[/C][C]0.552973694613977[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233798&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233798&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
0.01-15.68914023761293.64328715788169
0.02-13.4102867305643.15672728449335
0.03-11.39849173058852.49407525516682
0.04-9.943209758108441.82084933271106
0.05-8.959446506322121.34908511132876
0.06-8.274668675838081.14271579050037
0.07-7.746102152686441.12176407194522
0.08-7.287134964312431.1647373850806
0.09-6.85952685987121.18985629200471
0.1-6.455461420061781.1647606967828
0.11-6.080303360250681.09227686745623
0.12-5.740616072789280.994729113214349
0.13-5.438240342502550.899793959733814
0.14-5.169210852405160.829763816185995
0.15-4.925528559342980.795259696405324
0.16-4.69791383711950.794160368014859
0.17-4.478239817434990.815469584266723
0.18-4.261018768893420.845263660817373
0.19-4.043844266606420.871133616761968
0.2-3.82699907977560.884542389020594
0.21-3.612556976598730.881563391497906
0.22-3.403306630408720.86279313146926
0.23-3.201765645908470.832513913470894
0.24-3.009466279998990.797367587741866
0.25-2.826600132647340.76478539603176
0.26-2.652020475681220.741362812354112
0.27-2.483530483683550.731515137434298
0.28-2.31834304419210.736690516160158
0.29-2.153586661638230.755422885119846
0.3-1.986748746134570.784170461284815
0.31-1.815983292595160.818426571531407
0.32-1.640253191136740.853790792694634
0.33-1.459317460741780.886619001649055
0.34-1.273602756100440.914382947028291
0.35-1.084012642877320.93569328162708
0.36-0.8917273240953560.950103934085472
0.37-0.6980338423143230.957810526451622
0.38-0.5042074006334150.959299034819922
0.39-0.3114441270179980.955093694061724
0.4-0.1208295036007360.945644903180443
0.410.06668170160095670.931378117122849
0.420.250297532228370.912880924641551
0.430.429447809084050.891147263936616
0.440.6038708465198110.867797691978245
0.450.7737135234518160.845193037276118
0.460.9396179350158820.8263582891332
0.471.102762011335740.81467412171981
0.481.264824450785780.813313189402884
0.491.427856373504660.82447333592086
0.51.594061319122620.848662083867322
0.511.765507596376760.88424427440661
0.521.94381718991340.927520306112313
0.532.129887909238580.973274361418411
0.542.323705961380521.01561454475796
0.552.524292999216861.0489380448139
0.562.729806749082061.06880252155497
0.572.937782750326951.07261090785191
0.583.145474041987941.05995468617163
0.593.35022368475691.03259065097729
0.63.549797837377180.994014523246475
0.613.7426170431780.948749149184107
0.623.927848211833410.901446233170103
0.634.105353240733120.856014122444136
0.644.275523701750550.814979975935735
0.654.439055964949980.779205035235732
0.664.596731376644530.748150280418064
0.674.749259482981860.720442091543799
0.684.897221051389540.694649941986707
0.695.041117734752640.669995625374147
0.75.181504652672960.646756281050995
0.715.319158988163150.62637983028585
0.725.455228106949940.611185981880366
0.735.591307531290960.603806478078828
0.745.729420937478760.606407829517052
0.755.871905435966210.620047921821089
0.766.021236442925060.644323406578857
0.776.179846657961190.677639270417353
0.786.349994030620160.717827223501469
0.796.533711148533040.762915975179317
0.86.732830006088960.811591324989527
0.816.949039170292130.863238770900818
0.827.18391877363810.917446710409229
0.837.438931191726230.973338605763568
0.847.715419235697641.02920535622623
0.858.014743568440291.08304558054688
0.868.338713022799361.1342109964614
0.878.69036470572991.18545010503571
0.889.074925499546251.24399640736173
0.899.500506003906481.31972588856916
0.99.977879699269691.41987453596173
0.9110.51873509676971.54248904172077
0.9211.13221122284091.67194288653191
0.9311.82049328085271.7783921141092
0.9412.57554936667781.82360078201667
0.9513.37913612203991.7780407791357
0.9614.20398483282961.64348995496342
0.9715.00680069212291.43778054934901
0.9815.70893154554871.10623034303654
0.9916.19676761499990.552973694613977



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')