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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 03 Oct 2013 15:37:53 -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/2013/Oct/03/t13808291024rambptl5gsbis6.htm/, Retrieved Thu, 12 Feb 2026 01:51:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213010, Retrieved Thu, 12 Feb 2026 01:51:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact261

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-03 19:37:53] [d46004c4f56a1463f2fd3be871dd57bc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83.7
86.4
85.9
80.4
81.8
87.5
83.7
87
99.7
101.4
101.9
115.7
123.2
136.9
146.8
149.6
146.5
157
147.9
133.6
128.7
100.8
91.8
89.3
96.7
91.6
93.3
93.3
101
100.4
86.9
83.9
80.3
87.7
92.7
95.5
92
87.4
86.8
83.7
85
81.7
90.9
101.5
113.8
120.1
122.1
132.5
140
149.4
144.3
154.4
151.4
145.5
136.8
146.6
145.1
133.6
131.4
127.5
130.1
131.1
132.3
128.6
125.1
128.7
156.1
163.2
159.8
157.4
156.2
152.5

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'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=213010&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=213010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213010&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.44576814430360.411824360894687
0.0280.76145281467640.783118349974966
0.0381.20698400681621.02485420519251
0.0481.71465467538031.13620089519266
0.0582.22764236332981.16251070693639
0.0682.71299807069911.13864382071576
0.0783.15911249328341.10074755871182
0.0883.56890051674451.08665623751308
0.0983.95285175550721.1148015020543
0.184.32275309208961.17372758426058
0.1184.68703729000381.2361175123562
0.1285.04881894309981.2790441530661
0.1385.40670683492491.29315325003849
0.1485.75735294683611.283534176583
0.1586.09827061519651.26613382829002
0.1686.42978106581361.26107075756871
0.1786.75561198820291.28704417883936
0.1887.08226873785231.35445936695513
0.1987.41764036811241.46390455507514
0.287.76938908725151.60620735218458
0.2188.14358684325121.76766961707228
0.2288.54389570712791.93348427787362
0.2388.97140292993632.09124344598517
0.2489.42505495376272.23307521132421
0.2589.90250988720562.35724123117475
0.2690.40115917087392.46780721390664
0.2790.91906278697322.57308092873788
0.2891.45559464313642.68383410163887
0.2992.01169029408272.8101586958011
0.392.58970306507672.95882964548027
0.3193.19297813089223.13219057347493
0.3293.82532169363953.32853247610162
0.3394.49055819891683.54326748000157
0.3495.19232986775473.77305761261016
0.3595.93421051684564.01665799059903
0.3696.72010112828694.27777533990571
0.3797.55477487288634.56555138373529
0.3898.44437055496974.89279005380824
0.3999.39661517060115.2732998781864
0.4100.4205962283675.71751548631268
0.41101.5259963577536.22742479372277
0.42102.721826907486.79414784404688
0.43104.0148249422557.39685005706491
0.44105.407778143558.00381393793275
0.45106.8980889621558.57655262239972
0.46108.4768696265199.07366633283368
0.47110.1287760477239.4569727602638
0.48111.8326596423459.69561854408649
0.49113.5629708044629.76981671255425
0.5115.2917185050029.6731593968794
0.51116.9907043572049.41265963151898
0.52118.6337217677919.00763742960478
0.53120.1984421233718.48679359051342
0.54121.6677875924197.88446494747168
0.55123.0306926500617.23695762386505
0.56124.28226014986.57899877720391
0.57125.4234025879895.94219812608605
0.58126.4601125470415.35216983304321
0.59127.4025242453414.82890188244383
0.6128.2639142236534.38703943369458
0.61129.0597519534454.03587021968682
0.62129.8068612705643.78052456317304
0.63130.5227018599623.62278749160723
0.64131.2247363168163.56088505610383
0.65131.9298206860273.58966352500468
0.66132.6535507400283.69984607805896
0.67133.4095154592673.87794347481782
0.68134.2084518619974.10532890434268
0.69135.0573547466694.35934777206086
0.7135.9586585851074.61316856202387
0.71136.9096597087794.83819540906922
0.72137.9023666483585.00647561310608
0.73138.9239401551185.09423224297213
0.74139.9578064050355.08460133905182
0.75140.9854053065174.97121891181255
0.76141.9883939929324.75982115090633
0.77142.9509984109134.46819886822253
0.78143.8621313141084.12451478289658
0.79144.7169017126283.76308287088699
0.8145.5172367375693.42034390671301
0.81146.2715020831423.1288725449194
0.82146.9931966335572.91241453583477
0.83147.6989538224012.78140121477228
0.84148.4061602704642.73174793691202
0.85149.1304885367682.74637107073219
0.86149.8835701989292.80033234373745
0.87150.6709834304512.86392422289528
0.88151.490778123112.9054389132344
0.89152.3329465348682.89394075715618
0.9153.1805061605482.80464711907064
0.91154.0130242938862.62546581678792
0.92154.8132585823162.36640227142136
0.93155.5769449268662.06685281203746
0.94156.32457796541.79968297112282
0.95157.1120977883521.6664023519102
0.96158.0331895370161.75560831484596
0.97159.1951252383622.06560095626298
0.98160.633045720322.5115034606425
0.99162.1455575136322.99443670503539

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.4457681443036 & 0.411824360894687 \tabularnewline
0.02 & 80.7614528146764 & 0.783118349974966 \tabularnewline
0.03 & 81.2069840068162 & 1.02485420519251 \tabularnewline
0.04 & 81.7146546753803 & 1.13620089519266 \tabularnewline
0.05 & 82.2276423633298 & 1.16251070693639 \tabularnewline
0.06 & 82.7129980706991 & 1.13864382071576 \tabularnewline
0.07 & 83.1591124932834 & 1.10074755871182 \tabularnewline
0.08 & 83.5689005167445 & 1.08665623751308 \tabularnewline
0.09 & 83.9528517555072 & 1.1148015020543 \tabularnewline
0.1 & 84.3227530920896 & 1.17372758426058 \tabularnewline
0.11 & 84.6870372900038 & 1.2361175123562 \tabularnewline
0.12 & 85.0488189430998 & 1.2790441530661 \tabularnewline
0.13 & 85.4067068349249 & 1.29315325003849 \tabularnewline
0.14 & 85.7573529468361 & 1.283534176583 \tabularnewline
0.15 & 86.0982706151965 & 1.26613382829002 \tabularnewline
0.16 & 86.4297810658136 & 1.26107075756871 \tabularnewline
0.17 & 86.7556119882029 & 1.28704417883936 \tabularnewline
0.18 & 87.0822687378523 & 1.35445936695513 \tabularnewline
0.19 & 87.4176403681124 & 1.46390455507514 \tabularnewline
0.2 & 87.7693890872515 & 1.60620735218458 \tabularnewline
0.21 & 88.1435868432512 & 1.76766961707228 \tabularnewline
0.22 & 88.5438957071279 & 1.93348427787362 \tabularnewline
0.23 & 88.9714029299363 & 2.09124344598517 \tabularnewline
0.24 & 89.4250549537627 & 2.23307521132421 \tabularnewline
0.25 & 89.9025098872056 & 2.35724123117475 \tabularnewline
0.26 & 90.4011591708739 & 2.46780721390664 \tabularnewline
0.27 & 90.9190627869732 & 2.57308092873788 \tabularnewline
0.28 & 91.4555946431364 & 2.68383410163887 \tabularnewline
0.29 & 92.0116902940827 & 2.8101586958011 \tabularnewline
0.3 & 92.5897030650767 & 2.95882964548027 \tabularnewline
0.31 & 93.1929781308922 & 3.13219057347493 \tabularnewline
0.32 & 93.8253216936395 & 3.32853247610162 \tabularnewline
0.33 & 94.4905581989168 & 3.54326748000157 \tabularnewline
0.34 & 95.1923298677547 & 3.77305761261016 \tabularnewline
0.35 & 95.9342105168456 & 4.01665799059903 \tabularnewline
0.36 & 96.7201011282869 & 4.27777533990571 \tabularnewline
0.37 & 97.5547748728863 & 4.56555138373529 \tabularnewline
0.38 & 98.4443705549697 & 4.89279005380824 \tabularnewline
0.39 & 99.3966151706011 & 5.2732998781864 \tabularnewline
0.4 & 100.420596228367 & 5.71751548631268 \tabularnewline
0.41 & 101.525996357753 & 6.22742479372277 \tabularnewline
0.42 & 102.72182690748 & 6.79414784404688 \tabularnewline
0.43 & 104.014824942255 & 7.39685005706491 \tabularnewline
0.44 & 105.40777814355 & 8.00381393793275 \tabularnewline
0.45 & 106.898088962155 & 8.57655262239972 \tabularnewline
0.46 & 108.476869626519 & 9.07366633283368 \tabularnewline
0.47 & 110.128776047723 & 9.4569727602638 \tabularnewline
0.48 & 111.832659642345 & 9.69561854408649 \tabularnewline
0.49 & 113.562970804462 & 9.76981671255425 \tabularnewline
0.5 & 115.291718505002 & 9.6731593968794 \tabularnewline
0.51 & 116.990704357204 & 9.41265963151898 \tabularnewline
0.52 & 118.633721767791 & 9.00763742960478 \tabularnewline
0.53 & 120.198442123371 & 8.48679359051342 \tabularnewline
0.54 & 121.667787592419 & 7.88446494747168 \tabularnewline
0.55 & 123.030692650061 & 7.23695762386505 \tabularnewline
0.56 & 124.2822601498 & 6.57899877720391 \tabularnewline
0.57 & 125.423402587989 & 5.94219812608605 \tabularnewline
0.58 & 126.460112547041 & 5.35216983304321 \tabularnewline
0.59 & 127.402524245341 & 4.82890188244383 \tabularnewline
0.6 & 128.263914223653 & 4.38703943369458 \tabularnewline
0.61 & 129.059751953445 & 4.03587021968682 \tabularnewline
0.62 & 129.806861270564 & 3.78052456317304 \tabularnewline
0.63 & 130.522701859962 & 3.62278749160723 \tabularnewline
0.64 & 131.224736316816 & 3.56088505610383 \tabularnewline
0.65 & 131.929820686027 & 3.58966352500468 \tabularnewline
0.66 & 132.653550740028 & 3.69984607805896 \tabularnewline
0.67 & 133.409515459267 & 3.87794347481782 \tabularnewline
0.68 & 134.208451861997 & 4.10532890434268 \tabularnewline
0.69 & 135.057354746669 & 4.35934777206086 \tabularnewline
0.7 & 135.958658585107 & 4.61316856202387 \tabularnewline
0.71 & 136.909659708779 & 4.83819540906922 \tabularnewline
0.72 & 137.902366648358 & 5.00647561310608 \tabularnewline
0.73 & 138.923940155118 & 5.09423224297213 \tabularnewline
0.74 & 139.957806405035 & 5.08460133905182 \tabularnewline
0.75 & 140.985405306517 & 4.97121891181255 \tabularnewline
0.76 & 141.988393992932 & 4.75982115090633 \tabularnewline
0.77 & 142.950998410913 & 4.46819886822253 \tabularnewline
0.78 & 143.862131314108 & 4.12451478289658 \tabularnewline
0.79 & 144.716901712628 & 3.76308287088699 \tabularnewline
0.8 & 145.517236737569 & 3.42034390671301 \tabularnewline
0.81 & 146.271502083142 & 3.1288725449194 \tabularnewline
0.82 & 146.993196633557 & 2.91241453583477 \tabularnewline
0.83 & 147.698953822401 & 2.78140121477228 \tabularnewline
0.84 & 148.406160270464 & 2.73174793691202 \tabularnewline
0.85 & 149.130488536768 & 2.74637107073219 \tabularnewline
0.86 & 149.883570198929 & 2.80033234373745 \tabularnewline
0.87 & 150.670983430451 & 2.86392422289528 \tabularnewline
0.88 & 151.49077812311 & 2.9054389132344 \tabularnewline
0.89 & 152.332946534868 & 2.89394075715618 \tabularnewline
0.9 & 153.180506160548 & 2.80464711907064 \tabularnewline
0.91 & 154.013024293886 & 2.62546581678792 \tabularnewline
0.92 & 154.813258582316 & 2.36640227142136 \tabularnewline
0.93 & 155.576944926866 & 2.06685281203746 \tabularnewline
0.94 & 156.3245779654 & 1.79968297112282 \tabularnewline
0.95 & 157.112097788352 & 1.6664023519102 \tabularnewline
0.96 & 158.033189537016 & 1.75560831484596 \tabularnewline
0.97 & 159.195125238362 & 2.06560095626298 \tabularnewline
0.98 & 160.63304572032 & 2.5115034606425 \tabularnewline
0.99 & 162.145557513632 & 2.99443670503539 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213010&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]80.4457681443036[/C][C]0.411824360894687[/C][/ROW]
[ROW][C]0.02[/C][C]80.7614528146764[/C][C]0.783118349974966[/C][/ROW]
[ROW][C]0.03[/C][C]81.2069840068162[/C][C]1.02485420519251[/C][/ROW]
[ROW][C]0.04[/C][C]81.7146546753803[/C][C]1.13620089519266[/C][/ROW]
[ROW][C]0.05[/C][C]82.2276423633298[/C][C]1.16251070693639[/C][/ROW]
[ROW][C]0.06[/C][C]82.7129980706991[/C][C]1.13864382071576[/C][/ROW]
[ROW][C]0.07[/C][C]83.1591124932834[/C][C]1.10074755871182[/C][/ROW]
[ROW][C]0.08[/C][C]83.5689005167445[/C][C]1.08665623751308[/C][/ROW]
[ROW][C]0.09[/C][C]83.9528517555072[/C][C]1.1148015020543[/C][/ROW]
[ROW][C]0.1[/C][C]84.3227530920896[/C][C]1.17372758426058[/C][/ROW]
[ROW][C]0.11[/C][C]84.6870372900038[/C][C]1.2361175123562[/C][/ROW]
[ROW][C]0.12[/C][C]85.0488189430998[/C][C]1.2790441530661[/C][/ROW]
[ROW][C]0.13[/C][C]85.4067068349249[/C][C]1.29315325003849[/C][/ROW]
[ROW][C]0.14[/C][C]85.7573529468361[/C][C]1.283534176583[/C][/ROW]
[ROW][C]0.15[/C][C]86.0982706151965[/C][C]1.26613382829002[/C][/ROW]
[ROW][C]0.16[/C][C]86.4297810658136[/C][C]1.26107075756871[/C][/ROW]
[ROW][C]0.17[/C][C]86.7556119882029[/C][C]1.28704417883936[/C][/ROW]
[ROW][C]0.18[/C][C]87.0822687378523[/C][C]1.35445936695513[/C][/ROW]
[ROW][C]0.19[/C][C]87.4176403681124[/C][C]1.46390455507514[/C][/ROW]
[ROW][C]0.2[/C][C]87.7693890872515[/C][C]1.60620735218458[/C][/ROW]
[ROW][C]0.21[/C][C]88.1435868432512[/C][C]1.76766961707228[/C][/ROW]
[ROW][C]0.22[/C][C]88.5438957071279[/C][C]1.93348427787362[/C][/ROW]
[ROW][C]0.23[/C][C]88.9714029299363[/C][C]2.09124344598517[/C][/ROW]
[ROW][C]0.24[/C][C]89.4250549537627[/C][C]2.23307521132421[/C][/ROW]
[ROW][C]0.25[/C][C]89.9025098872056[/C][C]2.35724123117475[/C][/ROW]
[ROW][C]0.26[/C][C]90.4011591708739[/C][C]2.46780721390664[/C][/ROW]
[ROW][C]0.27[/C][C]90.9190627869732[/C][C]2.57308092873788[/C][/ROW]
[ROW][C]0.28[/C][C]91.4555946431364[/C][C]2.68383410163887[/C][/ROW]
[ROW][C]0.29[/C][C]92.0116902940827[/C][C]2.8101586958011[/C][/ROW]
[ROW][C]0.3[/C][C]92.5897030650767[/C][C]2.95882964548027[/C][/ROW]
[ROW][C]0.31[/C][C]93.1929781308922[/C][C]3.13219057347493[/C][/ROW]
[ROW][C]0.32[/C][C]93.8253216936395[/C][C]3.32853247610162[/C][/ROW]
[ROW][C]0.33[/C][C]94.4905581989168[/C][C]3.54326748000157[/C][/ROW]
[ROW][C]0.34[/C][C]95.1923298677547[/C][C]3.77305761261016[/C][/ROW]
[ROW][C]0.35[/C][C]95.9342105168456[/C][C]4.01665799059903[/C][/ROW]
[ROW][C]0.36[/C][C]96.7201011282869[/C][C]4.27777533990571[/C][/ROW]
[ROW][C]0.37[/C][C]97.5547748728863[/C][C]4.56555138373529[/C][/ROW]
[ROW][C]0.38[/C][C]98.4443705549697[/C][C]4.89279005380824[/C][/ROW]
[ROW][C]0.39[/C][C]99.3966151706011[/C][C]5.2732998781864[/C][/ROW]
[ROW][C]0.4[/C][C]100.420596228367[/C][C]5.71751548631268[/C][/ROW]
[ROW][C]0.41[/C][C]101.525996357753[/C][C]6.22742479372277[/C][/ROW]
[ROW][C]0.42[/C][C]102.72182690748[/C][C]6.79414784404688[/C][/ROW]
[ROW][C]0.43[/C][C]104.014824942255[/C][C]7.39685005706491[/C][/ROW]
[ROW][C]0.44[/C][C]105.40777814355[/C][C]8.00381393793275[/C][/ROW]
[ROW][C]0.45[/C][C]106.898088962155[/C][C]8.57655262239972[/C][/ROW]
[ROW][C]0.46[/C][C]108.476869626519[/C][C]9.07366633283368[/C][/ROW]
[ROW][C]0.47[/C][C]110.128776047723[/C][C]9.4569727602638[/C][/ROW]
[ROW][C]0.48[/C][C]111.832659642345[/C][C]9.69561854408649[/C][/ROW]
[ROW][C]0.49[/C][C]113.562970804462[/C][C]9.76981671255425[/C][/ROW]
[ROW][C]0.5[/C][C]115.291718505002[/C][C]9.6731593968794[/C][/ROW]
[ROW][C]0.51[/C][C]116.990704357204[/C][C]9.41265963151898[/C][/ROW]
[ROW][C]0.52[/C][C]118.633721767791[/C][C]9.00763742960478[/C][/ROW]
[ROW][C]0.53[/C][C]120.198442123371[/C][C]8.48679359051342[/C][/ROW]
[ROW][C]0.54[/C][C]121.667787592419[/C][C]7.88446494747168[/C][/ROW]
[ROW][C]0.55[/C][C]123.030692650061[/C][C]7.23695762386505[/C][/ROW]
[ROW][C]0.56[/C][C]124.2822601498[/C][C]6.57899877720391[/C][/ROW]
[ROW][C]0.57[/C][C]125.423402587989[/C][C]5.94219812608605[/C][/ROW]
[ROW][C]0.58[/C][C]126.460112547041[/C][C]5.35216983304321[/C][/ROW]
[ROW][C]0.59[/C][C]127.402524245341[/C][C]4.82890188244383[/C][/ROW]
[ROW][C]0.6[/C][C]128.263914223653[/C][C]4.38703943369458[/C][/ROW]
[ROW][C]0.61[/C][C]129.059751953445[/C][C]4.03587021968682[/C][/ROW]
[ROW][C]0.62[/C][C]129.806861270564[/C][C]3.78052456317304[/C][/ROW]
[ROW][C]0.63[/C][C]130.522701859962[/C][C]3.62278749160723[/C][/ROW]
[ROW][C]0.64[/C][C]131.224736316816[/C][C]3.56088505610383[/C][/ROW]
[ROW][C]0.65[/C][C]131.929820686027[/C][C]3.58966352500468[/C][/ROW]
[ROW][C]0.66[/C][C]132.653550740028[/C][C]3.69984607805896[/C][/ROW]
[ROW][C]0.67[/C][C]133.409515459267[/C][C]3.87794347481782[/C][/ROW]
[ROW][C]0.68[/C][C]134.208451861997[/C][C]4.10532890434268[/C][/ROW]
[ROW][C]0.69[/C][C]135.057354746669[/C][C]4.35934777206086[/C][/ROW]
[ROW][C]0.7[/C][C]135.958658585107[/C][C]4.61316856202387[/C][/ROW]
[ROW][C]0.71[/C][C]136.909659708779[/C][C]4.83819540906922[/C][/ROW]
[ROW][C]0.72[/C][C]137.902366648358[/C][C]5.00647561310608[/C][/ROW]
[ROW][C]0.73[/C][C]138.923940155118[/C][C]5.09423224297213[/C][/ROW]
[ROW][C]0.74[/C][C]139.957806405035[/C][C]5.08460133905182[/C][/ROW]
[ROW][C]0.75[/C][C]140.985405306517[/C][C]4.97121891181255[/C][/ROW]
[ROW][C]0.76[/C][C]141.988393992932[/C][C]4.75982115090633[/C][/ROW]
[ROW][C]0.77[/C][C]142.950998410913[/C][C]4.46819886822253[/C][/ROW]
[ROW][C]0.78[/C][C]143.862131314108[/C][C]4.12451478289658[/C][/ROW]
[ROW][C]0.79[/C][C]144.716901712628[/C][C]3.76308287088699[/C][/ROW]
[ROW][C]0.8[/C][C]145.517236737569[/C][C]3.42034390671301[/C][/ROW]
[ROW][C]0.81[/C][C]146.271502083142[/C][C]3.1288725449194[/C][/ROW]
[ROW][C]0.82[/C][C]146.993196633557[/C][C]2.91241453583477[/C][/ROW]
[ROW][C]0.83[/C][C]147.698953822401[/C][C]2.78140121477228[/C][/ROW]
[ROW][C]0.84[/C][C]148.406160270464[/C][C]2.73174793691202[/C][/ROW]
[ROW][C]0.85[/C][C]149.130488536768[/C][C]2.74637107073219[/C][/ROW]
[ROW][C]0.86[/C][C]149.883570198929[/C][C]2.80033234373745[/C][/ROW]
[ROW][C]0.87[/C][C]150.670983430451[/C][C]2.86392422289528[/C][/ROW]
[ROW][C]0.88[/C][C]151.49077812311[/C][C]2.9054389132344[/C][/ROW]
[ROW][C]0.89[/C][C]152.332946534868[/C][C]2.89394075715618[/C][/ROW]
[ROW][C]0.9[/C][C]153.180506160548[/C][C]2.80464711907064[/C][/ROW]
[ROW][C]0.91[/C][C]154.013024293886[/C][C]2.62546581678792[/C][/ROW]
[ROW][C]0.92[/C][C]154.813258582316[/C][C]2.36640227142136[/C][/ROW]
[ROW][C]0.93[/C][C]155.576944926866[/C][C]2.06685281203746[/C][/ROW]
[ROW][C]0.94[/C][C]156.3245779654[/C][C]1.79968297112282[/C][/ROW]
[ROW][C]0.95[/C][C]157.112097788352[/C][C]1.6664023519102[/C][/ROW]
[ROW][C]0.96[/C][C]158.033189537016[/C][C]1.75560831484596[/C][/ROW]
[ROW][C]0.97[/C][C]159.195125238362[/C][C]2.06560095626298[/C][/ROW]
[ROW][C]0.98[/C][C]160.63304572032[/C][C]2.5115034606425[/C][/ROW]
[ROW][C]0.99[/C][C]162.145557513632[/C][C]2.99443670503539[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213010&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213010&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
0.0180.44576814430360.411824360894687
0.0280.76145281467640.783118349974966
0.0381.20698400681621.02485420519251
0.0481.71465467538031.13620089519266
0.0582.22764236332981.16251070693639
0.0682.71299807069911.13864382071576
0.0783.15911249328341.10074755871182
0.0883.56890051674451.08665623751308
0.0983.95285175550721.1148015020543
0.184.32275309208961.17372758426058
0.1184.68703729000381.2361175123562
0.1285.04881894309981.2790441530661
0.1385.40670683492491.29315325003849
0.1485.75735294683611.283534176583
0.1586.09827061519651.26613382829002
0.1686.42978106581361.26107075756871
0.1786.75561198820291.28704417883936
0.1887.08226873785231.35445936695513
0.1987.41764036811241.46390455507514
0.287.76938908725151.60620735218458
0.2188.14358684325121.76766961707228
0.2288.54389570712791.93348427787362
0.2388.97140292993632.09124344598517
0.2489.42505495376272.23307521132421
0.2589.90250988720562.35724123117475
0.2690.40115917087392.46780721390664
0.2790.91906278697322.57308092873788
0.2891.45559464313642.68383410163887
0.2992.01169029408272.8101586958011
0.392.58970306507672.95882964548027
0.3193.19297813089223.13219057347493
0.3293.82532169363953.32853247610162
0.3394.49055819891683.54326748000157
0.3495.19232986775473.77305761261016
0.3595.93421051684564.01665799059903
0.3696.72010112828694.27777533990571
0.3797.55477487288634.56555138373529
0.3898.44437055496974.89279005380824
0.3999.39661517060115.2732998781864
0.4100.4205962283675.71751548631268
0.41101.5259963577536.22742479372277
0.42102.721826907486.79414784404688
0.43104.0148249422557.39685005706491
0.44105.407778143558.00381393793275
0.45106.8980889621558.57655262239972
0.46108.4768696265199.07366633283368
0.47110.1287760477239.4569727602638
0.48111.8326596423459.69561854408649
0.49113.5629708044629.76981671255425
0.5115.2917185050029.6731593968794
0.51116.9907043572049.41265963151898
0.52118.6337217677919.00763742960478
0.53120.1984421233718.48679359051342
0.54121.6677875924197.88446494747168
0.55123.0306926500617.23695762386505
0.56124.28226014986.57899877720391
0.57125.4234025879895.94219812608605
0.58126.4601125470415.35216983304321
0.59127.4025242453414.82890188244383
0.6128.2639142236534.38703943369458
0.61129.0597519534454.03587021968682
0.62129.8068612705643.78052456317304
0.63130.5227018599623.62278749160723
0.64131.2247363168163.56088505610383
0.65131.9298206860273.58966352500468
0.66132.6535507400283.69984607805896
0.67133.4095154592673.87794347481782
0.68134.2084518619974.10532890434268
0.69135.0573547466694.35934777206086
0.7135.9586585851074.61316856202387
0.71136.9096597087794.83819540906922
0.72137.9023666483585.00647561310608
0.73138.9239401551185.09423224297213
0.74139.9578064050355.08460133905182
0.75140.9854053065174.97121891181255
0.76141.9883939929324.75982115090633
0.77142.9509984109134.46819886822253
0.78143.8621313141084.12451478289658
0.79144.7169017126283.76308287088699
0.8145.5172367375693.42034390671301
0.81146.2715020831423.1288725449194
0.82146.9931966335572.91241453583477
0.83147.6989538224012.78140121477228
0.84148.4061602704642.73174793691202
0.85149.1304885367682.74637107073219
0.86149.8835701989292.80033234373745
0.87150.6709834304512.86392422289528
0.88151.490778123112.9054389132344
0.89152.3329465348682.89394075715618
0.9153.1805061605482.80464711907064
0.91154.0130242938862.62546581678792
0.92154.8132585823162.36640227142136
0.93155.5769449268662.06685281203746
0.94156.32457796541.79968297112282
0.95157.1120977883521.6664023519102
0.96158.0331895370161.75560831484596
0.97159.1951252383622.06560095626298
0.98160.633045720322.5115034606425
0.99162.1455575136322.99443670503539


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):
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')