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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 31 Oct 2010 13:27:26 +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/2010/Oct/31/t128853267605wl7dan4s1uqkk.htm/, Retrieved Fri, 28 Nov 2025 20:35:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=90526, Retrieved Fri, 28 Nov 2025 20:35:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact449

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 18:18:38] [b98453cac15ba1066b407e146608df68]
- RMP     [Harrell-Davis Quantiles] [Workshop 5 part 2 Q1] [2010-10-31 13:27:26] [c52f616cc59ab01e55ce1a10b5754887] [Current]
F   P       [Harrell-Davis Quantiles] [Workshop 5 part 2 Q1] [2010-10-31 13:53:03] [87d60b8864dc39f7ed759c345edfb471]
-             [Harrell-Davis Quantiles] [Harrel-Davis Quan...] [2010-11-01 14:02:14] [ebb35fb07def4d07c0eb7ec8d2fd3b0e]
- R             [Harrell-Davis Quantiles] [ws 5 part 2 - Q1] [2010-11-01 14:21:57] [033eb2749a430605d9b2be7c4aac4a0c]
- R               [Harrell-Davis Quantiles] [] [2010-11-02 07:35:39] [049b50ae610f671f7417ed8e2d1295c1]
- R  D              [Harrell-Davis Quantiles] [] [2010-11-02 17:41:10] [22937c5b58c14f6c22964f32d64ff823]
- R  D              [Harrell-Davis Quantiles] [] [2010-11-02 17:43:21] [22937c5b58c14f6c22964f32d64ff823]
-               [Harrell-Davis Quantiles] [Workshop 5 part 2...] [2010-11-02 09:49:01] [ec8d68d52c1e9c5e97bb689b42436a8c]
-   P             [Harrell-Davis Quantiles] [WS5/2 - Q1] [2010-11-02 16:40:10] [87116ee6ef949037dfa02b8eb1a3bf97]
-                 [Harrell-Davis Quantiles] [] [2010-11-02 20:27:03] [fb3a7008aea9486db3846dc25434607b]
-                 [Harrell-Davis Quantiles] [] [2010-11-19 18:46:22] [07fa8844ca5618cd0482008937d9acea]
- R PD          [Harrell-Davis Quantiles] [Vraag 1] [2010-11-02 14:23:15] [717f3d787904f94c39256c5c1fc72d4c]
F R P             [Harrell-Davis Quantiles] [] [2010-11-02 22:05:42] [5f6607fc345873e3e6f60671bd6cbc8b]
-             [Harrell-Davis Quantiles] [workshop 5 part 2...] [2010-11-01 14:44:28] [033eb2749a430605d9b2be7c4aac4a0c]
-             [Harrell-Davis Quantiles] [workshop 5 part 2...] [2010-11-01 14:52:30] [033eb2749a430605d9b2be7c4aac4a0c]
-             [Harrell-Davis Quantiles] [vraag 1] [2010-11-01 16:12:35] [9f32078fdcdc094ca748857d5ebdb3de]
-               [Harrell-Davis Quantiles] [Vraag 1] [2010-11-01 16:14:14] [39c51da0be01189e8a44eb69e891b7a1]
-                 [Harrell-Davis Quantiles] [vraag 2] [2010-11-01 16:49:30] [39c51da0be01189e8a44eb69e891b7a1]
-                   [Harrell-Davis Quantiles] [vraag 3] [2010-11-01 17:07:05] [39c51da0be01189e8a44eb69e891b7a1]
-   P           [Harrell-Davis Quantiles] [WS 5 -deel 2 Q 1 ] [2010-11-02 19:28:45] [bd591a1ebb67d263a02e7adae3fa1a4d]
-             [Harrell-Davis Quantiles] [vraag 2] [2010-11-01 16:48:58] [9f32078fdcdc094ca748857d5ebdb3de]
-             [Harrell-Davis Quantiles] [vraag 3] [2010-11-01 17:06:54] [9f32078fdcdc094ca748857d5ebdb3de]
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Dataset

Dataseries X:
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Histogram
Boxplots 
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-0.0067842865369085
1.4210854715202E-14
0.0067842865369143
-0.0067842865369085
1.4210854715202E-14
1.4210854715202E-14
1.4210854715202E-14
1.4210854715202E-14
1.4210854715202E-14
1.4210854715202E-14
0.025539022452614
-3.9968028886506E-15
-3.9968028886506E-15
-3.9968028886506E-15
-3.9968028886506E-15
-0.0053227005239038
-6.2172489379009E-15
-6.2172489379009E-15
0.019815707826494
0.0052185376095291
-0.0052185376095042
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
2.9309887850104E-14
0.0052185376095291
-0.0052185376095042
0.0039164540922294
0.005198192341894
3.0642155479654E-14
-0.0051981923418691
0.019355442952994
3.7747582837255E-14
3.7747582837255E-14
0.005098800084038
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
-0.0050988000839864
0.005098800084038
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
-0.0050988000839864
3.7747582837255E-14
0.005098800084038
1.3766765505352E-14
-0.0050988000839864
3.7747582837255E-14
3.7747582837255E-14
3.7747582837255E-14
3.7747582837255E-14
3.7747582837255E-14
0.00063877357653785
4.3076653355456E-14
0.0038240964384433
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
-0.0038240964383607
4.3076653355456E-14
4.3076653355456E-14
4.3076653355456E-14
4.3076653355456E-14
0.0038240964384433
3.9523939676656E-14
3.9523939676656E-14
3.9523939676656E-14
-0.0038240964383607
4.3076653355456E-14
4.3076653355456E-14
4.3076653355456E-14
4.3076653355456E-14
0.0038240964384433
-0.0038240964383607
4.3076653355456E-14
4.3076653355456E-14
4.3076653355456E-14
0.0038240964384433
0.0094967475372392
0.0062814276885823
-2.1316282072803E-14
-0.0062814276886214
-1.7763568394003E-14
-1.7763568394003E-14
-1.7763568394003E-14
0.0062814276885823
-2.1316282072803E-14
-2.1316282072803E-14
-0.0062814276886214
-1.7763568394003E-14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90526&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90526&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90526&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.008502658341715840.00107306197647569
0.02-0.007187853203275450.000124306264162587
0.03-0.007001617958317230.000134877667887578
0.04-0.006772428109348490.000196821313177271
0.05-0.006452616824046350.000324976918117009
0.06-0.006067514665441350.000325573723416007
0.07-0.005738468446350760.000292446651826947
0.08-0.005422280777942460.000384946018917278
0.09-0.004889912514983790.000917798547187002
0.1-0.003749003258047210.00180721231687919
0.11-0.002117438638880060.00197561631410479
0.12-0.000797368326252820.00117062441749898
0.13-0.0001911009109100170.000388100337004727
0.14-2.87609685008097e-057.44934661576493e-05
0.15-2.72646947791583e-068.53525016555359e-06
0.16-1.64507659218611e-075.99677006361562e-07
0.17-6.40311388091554e-092.64564788702217e-08
0.18-1.63132620309774e-107.48541791310697e-10
0.19-2.80267801827583e-121.38416816149858e-11
0.2-7.56571175251984e-141.71739478911514e-13
0.21-4.301030526351e-143.61274732221959e-15
0.22-4.11804850034643e-142.56102793692777e-15
0.23-3.96575329666405e-142.34060742640557e-15
0.24-3.83254670060184e-142.03510711713075e-15
0.25-3.71084382164871e-142.10045944464679e-15
0.26-3.56655856473429e-142.96002572493119e-15
0.27-3.35718566122969e-144.41721953966817e-15
0.28-3.07156957718433e-145.57158992032851e-15
0.29-2.75134229793829e-145.6061374453026e-15
0.3-2.46147773369944e-144.58780164438014e-15
0.31-2.24099317437448e-143.27670196123517e-15
0.32-2.08549889013100e-142.36219254865192e-15
0.33-1.96393108110727e-142.11705806128148e-15
0.34-1.84175978382398e-142.43087725702478e-15
0.35-1.69915440908726e-142.88497671124737e-15
0.36-1.53981492846271e-143.05166501599438e-15
0.37-1.38233696350634e-142.83534343566202e-15
0.38-1.24252379839243e-142.42360496664326e-15
0.39-1.12671660635297e-141.96082451187499e-15
0.4-1.03674090977760e-141.4716784559571e-15
0.41-9.72047644907294e-151.02049427669312e-15
0.42-9.27351270644799e-157.15934595968615e-16
0.43-8.93722917174724e-155.95113385819145e-16
0.44-8.62444939541027e-156.27690938861168e-16
0.45-8.26071474034436e-158.00261339332621e-16
0.46-7.7764358417788e-151.10337535800335e-15
0.47-7.10889332024167e-151.51997292384231e-15
0.48-6.17965883721218e-152.14291408966842e-15
0.49-4.82498865463347e-153.21727092190118e-15
0.5-2.78610343696008e-154.82625488521378e-15
0.511.07671450086440e-166.49248071812882e-15
0.523.66560936975006e-157.32509820458874e-15
0.537.2989513748765e-156.76992417339701e-15
0.541.03596345030643e-145.17303792657815e-15
0.551.25570249406387e-143.48342972574672e-15
0.561.40647195593397e-142.47970422856182e-15
0.571.52915115694015e-142.32924629148065e-15
0.581.65938492859684e-142.71043509950456e-15
0.591.81431375599744e-143.22907505121813e-15
0.61.99429799418305e-143.62808978905667e-15
0.612.18933721196962e-143.76964285487136e-15
0.622.38418256673682e-143.59495777146021e-15
0.632.56207729391694e-143.11320104635151e-15
0.642.70826854824270e-142.40006553695171e-15
0.652.81394064992917e-141.60401771147106e-15
0.662.87993640904322e-149.23858975854902e-16
0.672.91770112211334e-145.37196801005285e-16
0.682.94636315113251e-145.56505677585185e-16
0.692.98720496964317e-149.49017153937052e-16
0.73.05497172431025e-141.47837084606598e-15
0.713.147840471602e-141.79345030759034e-15
0.723.25639017717338e-142.14624850480159e-15
0.734.03783256372284e-144.21959680115706e-14
0.744.18693183923576e-132.09405743168080e-12
0.751.54876632344340e-117.76225546277583e-11
0.764.54580913426072e-102.08748919159424e-09
0.779.7413047488948e-094.0428087667427e-08
0.781.51323259730591e-075.59358408810911e-07
0.791.69523551395638e-065.47872606753017e-06
0.81.36330326607137e-053.75982656521437e-05
0.817.84597301887077e-050.000178732870012094
0.820.0003231834931289660.000581449765637043
0.830.000958721577132840.00127857196053321
0.840.002082724275396530.00187860843571343
0.850.003426124487551210.00183127892483274
0.860.004515804502558760.00120327821917902
0.870.00515328334039890.000604342290760806
0.880.00549766160108490.000345677177177068
0.890.005749834983573510.000291991704139497
0.90.006005477845244160.000311964999602675
0.910.006302165334695080.000347257254389794
0.920.006609143925809390.00030470504063788
0.930.006859793953383540.000215784877855075
0.940.007073428138946780.000204849739448646
0.950.007502342638249240.000565430749347115
0.960.008775721881562860.00133653248505218
0.970.01135259176364060.00205576058144687
0.980.01621078412453780.00361121427895091
0.990.02507079620301950.00311077481207771

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.00850265834171584 & 0.00107306197647569 \tabularnewline
0.02 & -0.00718785320327545 & 0.000124306264162587 \tabularnewline
0.03 & -0.00700161795831723 & 0.000134877667887578 \tabularnewline
0.04 & -0.00677242810934849 & 0.000196821313177271 \tabularnewline
0.05 & -0.00645261682404635 & 0.000324976918117009 \tabularnewline
0.06 & -0.00606751466544135 & 0.000325573723416007 \tabularnewline
0.07 & -0.00573846844635076 & 0.000292446651826947 \tabularnewline
0.08 & -0.00542228077794246 & 0.000384946018917278 \tabularnewline
0.09 & -0.00488991251498379 & 0.000917798547187002 \tabularnewline
0.1 & -0.00374900325804721 & 0.00180721231687919 \tabularnewline
0.11 & -0.00211743863888006 & 0.00197561631410479 \tabularnewline
0.12 & -0.00079736832625282 & 0.00117062441749898 \tabularnewline
0.13 & -0.000191100910910017 & 0.000388100337004727 \tabularnewline
0.14 & -2.87609685008097e-05 & 7.44934661576493e-05 \tabularnewline
0.15 & -2.72646947791583e-06 & 8.53525016555359e-06 \tabularnewline
0.16 & -1.64507659218611e-07 & 5.99677006361562e-07 \tabularnewline
0.17 & -6.40311388091554e-09 & 2.64564788702217e-08 \tabularnewline
0.18 & -1.63132620309774e-10 & 7.48541791310697e-10 \tabularnewline
0.19 & -2.80267801827583e-12 & 1.38416816149858e-11 \tabularnewline
0.2 & -7.56571175251984e-14 & 1.71739478911514e-13 \tabularnewline
0.21 & -4.301030526351e-14 & 3.61274732221959e-15 \tabularnewline
0.22 & -4.11804850034643e-14 & 2.56102793692777e-15 \tabularnewline
0.23 & -3.96575329666405e-14 & 2.34060742640557e-15 \tabularnewline
0.24 & -3.83254670060184e-14 & 2.03510711713075e-15 \tabularnewline
0.25 & -3.71084382164871e-14 & 2.10045944464679e-15 \tabularnewline
0.26 & -3.56655856473429e-14 & 2.96002572493119e-15 \tabularnewline
0.27 & -3.35718566122969e-14 & 4.41721953966817e-15 \tabularnewline
0.28 & -3.07156957718433e-14 & 5.57158992032851e-15 \tabularnewline
0.29 & -2.75134229793829e-14 & 5.6061374453026e-15 \tabularnewline
0.3 & -2.46147773369944e-14 & 4.58780164438014e-15 \tabularnewline
0.31 & -2.24099317437448e-14 & 3.27670196123517e-15 \tabularnewline
0.32 & -2.08549889013100e-14 & 2.36219254865192e-15 \tabularnewline
0.33 & -1.96393108110727e-14 & 2.11705806128148e-15 \tabularnewline
0.34 & -1.84175978382398e-14 & 2.43087725702478e-15 \tabularnewline
0.35 & -1.69915440908726e-14 & 2.88497671124737e-15 \tabularnewline
0.36 & -1.53981492846271e-14 & 3.05166501599438e-15 \tabularnewline
0.37 & -1.38233696350634e-14 & 2.83534343566202e-15 \tabularnewline
0.38 & -1.24252379839243e-14 & 2.42360496664326e-15 \tabularnewline
0.39 & -1.12671660635297e-14 & 1.96082451187499e-15 \tabularnewline
0.4 & -1.03674090977760e-14 & 1.4716784559571e-15 \tabularnewline
0.41 & -9.72047644907294e-15 & 1.02049427669312e-15 \tabularnewline
0.42 & -9.27351270644799e-15 & 7.15934595968615e-16 \tabularnewline
0.43 & -8.93722917174724e-15 & 5.95113385819145e-16 \tabularnewline
0.44 & -8.62444939541027e-15 & 6.27690938861168e-16 \tabularnewline
0.45 & -8.26071474034436e-15 & 8.00261339332621e-16 \tabularnewline
0.46 & -7.7764358417788e-15 & 1.10337535800335e-15 \tabularnewline
0.47 & -7.10889332024167e-15 & 1.51997292384231e-15 \tabularnewline
0.48 & -6.17965883721218e-15 & 2.14291408966842e-15 \tabularnewline
0.49 & -4.82498865463347e-15 & 3.21727092190118e-15 \tabularnewline
0.5 & -2.78610343696008e-15 & 4.82625488521378e-15 \tabularnewline
0.51 & 1.07671450086440e-16 & 6.49248071812882e-15 \tabularnewline
0.52 & 3.66560936975006e-15 & 7.32509820458874e-15 \tabularnewline
0.53 & 7.2989513748765e-15 & 6.76992417339701e-15 \tabularnewline
0.54 & 1.03596345030643e-14 & 5.17303792657815e-15 \tabularnewline
0.55 & 1.25570249406387e-14 & 3.48342972574672e-15 \tabularnewline
0.56 & 1.40647195593397e-14 & 2.47970422856182e-15 \tabularnewline
0.57 & 1.52915115694015e-14 & 2.32924629148065e-15 \tabularnewline
0.58 & 1.65938492859684e-14 & 2.71043509950456e-15 \tabularnewline
0.59 & 1.81431375599744e-14 & 3.22907505121813e-15 \tabularnewline
0.6 & 1.99429799418305e-14 & 3.62808978905667e-15 \tabularnewline
0.61 & 2.18933721196962e-14 & 3.76964285487136e-15 \tabularnewline
0.62 & 2.38418256673682e-14 & 3.59495777146021e-15 \tabularnewline
0.63 & 2.56207729391694e-14 & 3.11320104635151e-15 \tabularnewline
0.64 & 2.70826854824270e-14 & 2.40006553695171e-15 \tabularnewline
0.65 & 2.81394064992917e-14 & 1.60401771147106e-15 \tabularnewline
0.66 & 2.87993640904322e-14 & 9.23858975854902e-16 \tabularnewline
0.67 & 2.91770112211334e-14 & 5.37196801005285e-16 \tabularnewline
0.68 & 2.94636315113251e-14 & 5.56505677585185e-16 \tabularnewline
0.69 & 2.98720496964317e-14 & 9.49017153937052e-16 \tabularnewline
0.7 & 3.05497172431025e-14 & 1.47837084606598e-15 \tabularnewline
0.71 & 3.147840471602e-14 & 1.79345030759034e-15 \tabularnewline
0.72 & 3.25639017717338e-14 & 2.14624850480159e-15 \tabularnewline
0.73 & 4.03783256372284e-14 & 4.21959680115706e-14 \tabularnewline
0.74 & 4.18693183923576e-13 & 2.09405743168080e-12 \tabularnewline
0.75 & 1.54876632344340e-11 & 7.76225546277583e-11 \tabularnewline
0.76 & 4.54580913426072e-10 & 2.08748919159424e-09 \tabularnewline
0.77 & 9.7413047488948e-09 & 4.0428087667427e-08 \tabularnewline
0.78 & 1.51323259730591e-07 & 5.59358408810911e-07 \tabularnewline
0.79 & 1.69523551395638e-06 & 5.47872606753017e-06 \tabularnewline
0.8 & 1.36330326607137e-05 & 3.75982656521437e-05 \tabularnewline
0.81 & 7.84597301887077e-05 & 0.000178732870012094 \tabularnewline
0.82 & 0.000323183493128966 & 0.000581449765637043 \tabularnewline
0.83 & 0.00095872157713284 & 0.00127857196053321 \tabularnewline
0.84 & 0.00208272427539653 & 0.00187860843571343 \tabularnewline
0.85 & 0.00342612448755121 & 0.00183127892483274 \tabularnewline
0.86 & 0.00451580450255876 & 0.00120327821917902 \tabularnewline
0.87 & 0.0051532833403989 & 0.000604342290760806 \tabularnewline
0.88 & 0.0054976616010849 & 0.000345677177177068 \tabularnewline
0.89 & 0.00574983498357351 & 0.000291991704139497 \tabularnewline
0.9 & 0.00600547784524416 & 0.000311964999602675 \tabularnewline
0.91 & 0.00630216533469508 & 0.000347257254389794 \tabularnewline
0.92 & 0.00660914392580939 & 0.00030470504063788 \tabularnewline
0.93 & 0.00685979395338354 & 0.000215784877855075 \tabularnewline
0.94 & 0.00707342813894678 & 0.000204849739448646 \tabularnewline
0.95 & 0.00750234263824924 & 0.000565430749347115 \tabularnewline
0.96 & 0.00877572188156286 & 0.00133653248505218 \tabularnewline
0.97 & 0.0113525917636406 & 0.00205576058144687 \tabularnewline
0.98 & 0.0162107841245378 & 0.00361121427895091 \tabularnewline
0.99 & 0.0250707962030195 & 0.00311077481207771 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90526&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]-0.00850265834171584[/C][C]0.00107306197647569[/C][/ROW]
[ROW][C]0.02[/C][C]-0.00718785320327545[/C][C]0.000124306264162587[/C][/ROW]
[ROW][C]0.03[/C][C]-0.00700161795831723[/C][C]0.000134877667887578[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00677242810934849[/C][C]0.000196821313177271[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00645261682404635[/C][C]0.000324976918117009[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00606751466544135[/C][C]0.000325573723416007[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00573846844635076[/C][C]0.000292446651826947[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00542228077794246[/C][C]0.000384946018917278[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00488991251498379[/C][C]0.000917798547187002[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00374900325804721[/C][C]0.00180721231687919[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00211743863888006[/C][C]0.00197561631410479[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00079736832625282[/C][C]0.00117062441749898[/C][/ROW]
[ROW][C]0.13[/C][C]-0.000191100910910017[/C][C]0.000388100337004727[/C][/ROW]
[ROW][C]0.14[/C][C]-2.87609685008097e-05[/C][C]7.44934661576493e-05[/C][/ROW]
[ROW][C]0.15[/C][C]-2.72646947791583e-06[/C][C]8.53525016555359e-06[/C][/ROW]
[ROW][C]0.16[/C][C]-1.64507659218611e-07[/C][C]5.99677006361562e-07[/C][/ROW]
[ROW][C]0.17[/C][C]-6.40311388091554e-09[/C][C]2.64564788702217e-08[/C][/ROW]
[ROW][C]0.18[/C][C]-1.63132620309774e-10[/C][C]7.48541791310697e-10[/C][/ROW]
[ROW][C]0.19[/C][C]-2.80267801827583e-12[/C][C]1.38416816149858e-11[/C][/ROW]
[ROW][C]0.2[/C][C]-7.56571175251984e-14[/C][C]1.71739478911514e-13[/C][/ROW]
[ROW][C]0.21[/C][C]-4.301030526351e-14[/C][C]3.61274732221959e-15[/C][/ROW]
[ROW][C]0.22[/C][C]-4.11804850034643e-14[/C][C]2.56102793692777e-15[/C][/ROW]
[ROW][C]0.23[/C][C]-3.96575329666405e-14[/C][C]2.34060742640557e-15[/C][/ROW]
[ROW][C]0.24[/C][C]-3.83254670060184e-14[/C][C]2.03510711713075e-15[/C][/ROW]
[ROW][C]0.25[/C][C]-3.71084382164871e-14[/C][C]2.10045944464679e-15[/C][/ROW]
[ROW][C]0.26[/C][C]-3.56655856473429e-14[/C][C]2.96002572493119e-15[/C][/ROW]
[ROW][C]0.27[/C][C]-3.35718566122969e-14[/C][C]4.41721953966817e-15[/C][/ROW]
[ROW][C]0.28[/C][C]-3.07156957718433e-14[/C][C]5.57158992032851e-15[/C][/ROW]
[ROW][C]0.29[/C][C]-2.75134229793829e-14[/C][C]5.6061374453026e-15[/C][/ROW]
[ROW][C]0.3[/C][C]-2.46147773369944e-14[/C][C]4.58780164438014e-15[/C][/ROW]
[ROW][C]0.31[/C][C]-2.24099317437448e-14[/C][C]3.27670196123517e-15[/C][/ROW]
[ROW][C]0.32[/C][C]-2.08549889013100e-14[/C][C]2.36219254865192e-15[/C][/ROW]
[ROW][C]0.33[/C][C]-1.96393108110727e-14[/C][C]2.11705806128148e-15[/C][/ROW]
[ROW][C]0.34[/C][C]-1.84175978382398e-14[/C][C]2.43087725702478e-15[/C][/ROW]
[ROW][C]0.35[/C][C]-1.69915440908726e-14[/C][C]2.88497671124737e-15[/C][/ROW]
[ROW][C]0.36[/C][C]-1.53981492846271e-14[/C][C]3.05166501599438e-15[/C][/ROW]
[ROW][C]0.37[/C][C]-1.38233696350634e-14[/C][C]2.83534343566202e-15[/C][/ROW]
[ROW][C]0.38[/C][C]-1.24252379839243e-14[/C][C]2.42360496664326e-15[/C][/ROW]
[ROW][C]0.39[/C][C]-1.12671660635297e-14[/C][C]1.96082451187499e-15[/C][/ROW]
[ROW][C]0.4[/C][C]-1.03674090977760e-14[/C][C]1.4716784559571e-15[/C][/ROW]
[ROW][C]0.41[/C][C]-9.72047644907294e-15[/C][C]1.02049427669312e-15[/C][/ROW]
[ROW][C]0.42[/C][C]-9.27351270644799e-15[/C][C]7.15934595968615e-16[/C][/ROW]
[ROW][C]0.43[/C][C]-8.93722917174724e-15[/C][C]5.95113385819145e-16[/C][/ROW]
[ROW][C]0.44[/C][C]-8.62444939541027e-15[/C][C]6.27690938861168e-16[/C][/ROW]
[ROW][C]0.45[/C][C]-8.26071474034436e-15[/C][C]8.00261339332621e-16[/C][/ROW]
[ROW][C]0.46[/C][C]-7.7764358417788e-15[/C][C]1.10337535800335e-15[/C][/ROW]
[ROW][C]0.47[/C][C]-7.10889332024167e-15[/C][C]1.51997292384231e-15[/C][/ROW]
[ROW][C]0.48[/C][C]-6.17965883721218e-15[/C][C]2.14291408966842e-15[/C][/ROW]
[ROW][C]0.49[/C][C]-4.82498865463347e-15[/C][C]3.21727092190118e-15[/C][/ROW]
[ROW][C]0.5[/C][C]-2.78610343696008e-15[/C][C]4.82625488521378e-15[/C][/ROW]
[ROW][C]0.51[/C][C]1.07671450086440e-16[/C][C]6.49248071812882e-15[/C][/ROW]
[ROW][C]0.52[/C][C]3.66560936975006e-15[/C][C]7.32509820458874e-15[/C][/ROW]
[ROW][C]0.53[/C][C]7.2989513748765e-15[/C][C]6.76992417339701e-15[/C][/ROW]
[ROW][C]0.54[/C][C]1.03596345030643e-14[/C][C]5.17303792657815e-15[/C][/ROW]
[ROW][C]0.55[/C][C]1.25570249406387e-14[/C][C]3.48342972574672e-15[/C][/ROW]
[ROW][C]0.56[/C][C]1.40647195593397e-14[/C][C]2.47970422856182e-15[/C][/ROW]
[ROW][C]0.57[/C][C]1.52915115694015e-14[/C][C]2.32924629148065e-15[/C][/ROW]
[ROW][C]0.58[/C][C]1.65938492859684e-14[/C][C]2.71043509950456e-15[/C][/ROW]
[ROW][C]0.59[/C][C]1.81431375599744e-14[/C][C]3.22907505121813e-15[/C][/ROW]
[ROW][C]0.6[/C][C]1.99429799418305e-14[/C][C]3.62808978905667e-15[/C][/ROW]
[ROW][C]0.61[/C][C]2.18933721196962e-14[/C][C]3.76964285487136e-15[/C][/ROW]
[ROW][C]0.62[/C][C]2.38418256673682e-14[/C][C]3.59495777146021e-15[/C][/ROW]
[ROW][C]0.63[/C][C]2.56207729391694e-14[/C][C]3.11320104635151e-15[/C][/ROW]
[ROW][C]0.64[/C][C]2.70826854824270e-14[/C][C]2.40006553695171e-15[/C][/ROW]
[ROW][C]0.65[/C][C]2.81394064992917e-14[/C][C]1.60401771147106e-15[/C][/ROW]
[ROW][C]0.66[/C][C]2.87993640904322e-14[/C][C]9.23858975854902e-16[/C][/ROW]
[ROW][C]0.67[/C][C]2.91770112211334e-14[/C][C]5.37196801005285e-16[/C][/ROW]
[ROW][C]0.68[/C][C]2.94636315113251e-14[/C][C]5.56505677585185e-16[/C][/ROW]
[ROW][C]0.69[/C][C]2.98720496964317e-14[/C][C]9.49017153937052e-16[/C][/ROW]
[ROW][C]0.7[/C][C]3.05497172431025e-14[/C][C]1.47837084606598e-15[/C][/ROW]
[ROW][C]0.71[/C][C]3.147840471602e-14[/C][C]1.79345030759034e-15[/C][/ROW]
[ROW][C]0.72[/C][C]3.25639017717338e-14[/C][C]2.14624850480159e-15[/C][/ROW]
[ROW][C]0.73[/C][C]4.03783256372284e-14[/C][C]4.21959680115706e-14[/C][/ROW]
[ROW][C]0.74[/C][C]4.18693183923576e-13[/C][C]2.09405743168080e-12[/C][/ROW]
[ROW][C]0.75[/C][C]1.54876632344340e-11[/C][C]7.76225546277583e-11[/C][/ROW]
[ROW][C]0.76[/C][C]4.54580913426072e-10[/C][C]2.08748919159424e-09[/C][/ROW]
[ROW][C]0.77[/C][C]9.7413047488948e-09[/C][C]4.0428087667427e-08[/C][/ROW]
[ROW][C]0.78[/C][C]1.51323259730591e-07[/C][C]5.59358408810911e-07[/C][/ROW]
[ROW][C]0.79[/C][C]1.69523551395638e-06[/C][C]5.47872606753017e-06[/C][/ROW]
[ROW][C]0.8[/C][C]1.36330326607137e-05[/C][C]3.75982656521437e-05[/C][/ROW]
[ROW][C]0.81[/C][C]7.84597301887077e-05[/C][C]0.000178732870012094[/C][/ROW]
[ROW][C]0.82[/C][C]0.000323183493128966[/C][C]0.000581449765637043[/C][/ROW]
[ROW][C]0.83[/C][C]0.00095872157713284[/C][C]0.00127857196053321[/C][/ROW]
[ROW][C]0.84[/C][C]0.00208272427539653[/C][C]0.00187860843571343[/C][/ROW]
[ROW][C]0.85[/C][C]0.00342612448755121[/C][C]0.00183127892483274[/C][/ROW]
[ROW][C]0.86[/C][C]0.00451580450255876[/C][C]0.00120327821917902[/C][/ROW]
[ROW][C]0.87[/C][C]0.0051532833403989[/C][C]0.000604342290760806[/C][/ROW]
[ROW][C]0.88[/C][C]0.0054976616010849[/C][C]0.000345677177177068[/C][/ROW]
[ROW][C]0.89[/C][C]0.00574983498357351[/C][C]0.000291991704139497[/C][/ROW]
[ROW][C]0.9[/C][C]0.00600547784524416[/C][C]0.000311964999602675[/C][/ROW]
[ROW][C]0.91[/C][C]0.00630216533469508[/C][C]0.000347257254389794[/C][/ROW]
[ROW][C]0.92[/C][C]0.00660914392580939[/C][C]0.00030470504063788[/C][/ROW]
[ROW][C]0.93[/C][C]0.00685979395338354[/C][C]0.000215784877855075[/C][/ROW]
[ROW][C]0.94[/C][C]0.00707342813894678[/C][C]0.000204849739448646[/C][/ROW]
[ROW][C]0.95[/C][C]0.00750234263824924[/C][C]0.000565430749347115[/C][/ROW]
[ROW][C]0.96[/C][C]0.00877572188156286[/C][C]0.00133653248505218[/C][/ROW]
[ROW][C]0.97[/C][C]0.0113525917636406[/C][C]0.00205576058144687[/C][/ROW]
[ROW][C]0.98[/C][C]0.0162107841245378[/C][C]0.00361121427895091[/C][/ROW]
[ROW][C]0.99[/C][C]0.0250707962030195[/C][C]0.00311077481207771[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90526&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90526&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.008502658341715840.00107306197647569
0.02-0.007187853203275450.000124306264162587
0.03-0.007001617958317230.000134877667887578
0.04-0.006772428109348490.000196821313177271
0.05-0.006452616824046350.000324976918117009
0.06-0.006067514665441350.000325573723416007
0.07-0.005738468446350760.000292446651826947
0.08-0.005422280777942460.000384946018917278
0.09-0.004889912514983790.000917798547187002
0.1-0.003749003258047210.00180721231687919
0.11-0.002117438638880060.00197561631410479
0.12-0.000797368326252820.00117062441749898
0.13-0.0001911009109100170.000388100337004727
0.14-2.87609685008097e-057.44934661576493e-05
0.15-2.72646947791583e-068.53525016555359e-06
0.16-1.64507659218611e-075.99677006361562e-07
0.17-6.40311388091554e-092.64564788702217e-08
0.18-1.63132620309774e-107.48541791310697e-10
0.19-2.80267801827583e-121.38416816149858e-11
0.2-7.56571175251984e-141.71739478911514e-13
0.21-4.301030526351e-143.61274732221959e-15
0.22-4.11804850034643e-142.56102793692777e-15
0.23-3.96575329666405e-142.34060742640557e-15
0.24-3.83254670060184e-142.03510711713075e-15
0.25-3.71084382164871e-142.10045944464679e-15
0.26-3.56655856473429e-142.96002572493119e-15
0.27-3.35718566122969e-144.41721953966817e-15
0.28-3.07156957718433e-145.57158992032851e-15
0.29-2.75134229793829e-145.6061374453026e-15
0.3-2.46147773369944e-144.58780164438014e-15
0.31-2.24099317437448e-143.27670196123517e-15
0.32-2.08549889013100e-142.36219254865192e-15
0.33-1.96393108110727e-142.11705806128148e-15
0.34-1.84175978382398e-142.43087725702478e-15
0.35-1.69915440908726e-142.88497671124737e-15
0.36-1.53981492846271e-143.05166501599438e-15
0.37-1.38233696350634e-142.83534343566202e-15
0.38-1.24252379839243e-142.42360496664326e-15
0.39-1.12671660635297e-141.96082451187499e-15
0.4-1.03674090977760e-141.4716784559571e-15
0.41-9.72047644907294e-151.02049427669312e-15
0.42-9.27351270644799e-157.15934595968615e-16
0.43-8.93722917174724e-155.95113385819145e-16
0.44-8.62444939541027e-156.27690938861168e-16
0.45-8.26071474034436e-158.00261339332621e-16
0.46-7.7764358417788e-151.10337535800335e-15
0.47-7.10889332024167e-151.51997292384231e-15
0.48-6.17965883721218e-152.14291408966842e-15
0.49-4.82498865463347e-153.21727092190118e-15
0.5-2.78610343696008e-154.82625488521378e-15
0.511.07671450086440e-166.49248071812882e-15
0.523.66560936975006e-157.32509820458874e-15
0.537.2989513748765e-156.76992417339701e-15
0.541.03596345030643e-145.17303792657815e-15
0.551.25570249406387e-143.48342972574672e-15
0.561.40647195593397e-142.47970422856182e-15
0.571.52915115694015e-142.32924629148065e-15
0.581.65938492859684e-142.71043509950456e-15
0.591.81431375599744e-143.22907505121813e-15
0.61.99429799418305e-143.62808978905667e-15
0.612.18933721196962e-143.76964285487136e-15
0.622.38418256673682e-143.59495777146021e-15
0.632.56207729391694e-143.11320104635151e-15
0.642.70826854824270e-142.40006553695171e-15
0.652.81394064992917e-141.60401771147106e-15
0.662.87993640904322e-149.23858975854902e-16
0.672.91770112211334e-145.37196801005285e-16
0.682.94636315113251e-145.56505677585185e-16
0.692.98720496964317e-149.49017153937052e-16
0.73.05497172431025e-141.47837084606598e-15
0.713.147840471602e-141.79345030759034e-15
0.723.25639017717338e-142.14624850480159e-15
0.734.03783256372284e-144.21959680115706e-14
0.744.18693183923576e-132.09405743168080e-12
0.751.54876632344340e-117.76225546277583e-11
0.764.54580913426072e-102.08748919159424e-09
0.779.7413047488948e-094.0428087667427e-08
0.781.51323259730591e-075.59358408810911e-07
0.791.69523551395638e-065.47872606753017e-06
0.81.36330326607137e-053.75982656521437e-05
0.817.84597301887077e-050.000178732870012094
0.820.0003231834931289660.000581449765637043
0.830.000958721577132840.00127857196053321
0.840.002082724275396530.00187860843571343
0.850.003426124487551210.00183127892483274
0.860.004515804502558760.00120327821917902
0.870.00515328334039890.000604342290760806
0.880.00549766160108490.000345677177177068
0.890.005749834983573510.000291991704139497
0.90.006005477845244160.000311964999602675
0.910.006302165334695080.000347257254389794
0.920.006609143925809390.00030470504063788
0.930.006859793953383540.000215784877855075
0.940.007073428138946780.000204849739448646
0.950.007502342638249240.000565430749347115
0.960.008775721881562860.00133653248505218
0.970.01135259176364060.00205576058144687
0.980.01621078412453780.00361121427895091
0.990.02507079620301950.00311077481207771


Figures (Output of Computation)

Input Parameters & R Code

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')