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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 10 Nov 2007 10:20:40 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/10/t1194714987jkuefc5u7gt6t1p.htm/, Retrieved Tue, 10 Feb 2026 14:02:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5059, Retrieved Tue, 10 Feb 2026 14:02:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsConsumptiegoederen , Duurzame consumptiegoederen
Estimated Impact433

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] [Paper Harell – Da...] [2007-11-10 17:20:40] [d06427f3e67cec1f6334fc93f511b0b4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
59,7
58,2
75,3
69
66,1
77,5
69,3
70,2
70,2
78,2
85,4
82,4
61,2
52,2
85,3
79,9
72,2
85,7
75,5
69,2
77,6
85,3
77
89,9
60
54,3
84
69,9
75,1
81,7
69,9
68,3
77,3
77,4
85,3
91
60,6
57,6
93,8
78,7
80,3
89,8
77,5
71,7
83,2
86,2
100,7
100,8
57,1
62,5
79,7
80,3
92,4
91,8
85,8
84,2
93,1
101,2
100,6
106,7
64
67,5
101
95,5
97
103,8
95,2
86,7
93,5
102,5
112,3
105,5
75,4
70,4
108
100
93,3
111,1
101,1
98,1

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5059&T=0

[TABLE]
[ROW][C]Summary of compuational 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]9 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=5059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5059&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0153.08437285521692.13952931373823
0.0254.4358537481362.15994770484655
0.0355.77885680981971.98783948936697
0.0456.91062003962861.75823774517654
0.0557.8329926986891.64112875795961
0.0658.61851382362631.66241506973296
0.0759.33949860177591.78222883176232
0.0860.04802673040541.97600986183868
0.0960.77702938581072.22716494521265
0.161.54447467057042.50513571560623
0.1162.35512941962862.76457830301437
0.1263.20119840985482.95869417188781
0.1364.06427952970173.05298638931246
0.1464.91944722554673.03326905280566
0.1565.74059571105322.9067454455379
0.1666.505533618122.69828401552719
0.1767.19960709609332.44309094604383
0.1867.81731754251542.17945298870497
0.1968.36205205416821.94259670185699
0.268.84444121661641.76081701162966
0.2169.27997400141311.65364565619025
0.2269.68641681268261.62827566954523
0.2370.08141726828951.67997974522263
0.2470.48051374307861.79348404237257
0.2570.8956625109641.94663772775299
0.2671.33433502641792.11556620991028
0.2771.79920360483322.27709678689167
0.2872.28839804231892.41110083852845
0.2972.79626619970322.50293117458086
0.373.31451386797472.54365920149708
0.3173.83355053862692.53170443439959
0.3274.34384581544432.47140912099918
0.3374.83711511435442.37250631523733
0.3475.30719948603552.24788344819545
0.3575.7505693548322.11195781763615
0.3676.16644852320161.97921095593657
0.3776.55660861918521.86213324434761
0.3876.92491766802511.77096941079020
0.3977.27673909303571.71210974320221
0.477.61827337690171.68853917284438
0.4177.95591969239931.69947304404779
0.4278.2957143350251.74059528448232
0.4378.64288074370241.80569257726763
0.4479.00150528448311.88754219115550
0.4579.37433635894211.97832703847482
0.4679.76269394743772.07030509342236
0.4780.16647359063242.15648780337523
0.4880.5842324729632.23039390012408
0.4981.01335301054452.28613119755099
0.581.4502868588132.31929172922769
0.5181.89088491664622.32738410741127
0.5282.3308133943292.30994654763273
0.5382.76604163890492.26957010530716
0.5483.19336661558752.21113499006586
0.5583.61091684459162.14323942646896
0.5684.01856172274262.07638955671467
0.5784.41814681612442.02269797078985
0.5884.81348632949571.99424799394405
0.5985.21007184420362.00088562109350
0.685.61449903575452.04830196550778
0.6186.0336650570192.13587677118466
0.6286.47383916618452.25596012651438
0.6386.9397471015652.39654117075299
0.6487.4338256073812.54156134263182
0.6587.95579074540512.6745320099534
0.6688.5026211073322.78064389024818
0.6789.0689902861482.84862194206876
0.6889.6481034213072.87319286643903
0.6990.23281532912582.85531806982132
0.790.81684782785252.80281925775265
0.7191.39589320913182.72829372534546
0.7291.9683955663152.64847598735229
0.7392.5358417796092.58083320489602
0.7493.102464120762.53990027680230
0.7593.67434818788792.53440490018603
0.7694.25804312329442.56449410890229
0.7794.85887447806262.62049987988085
0.7895.47925008327732.68459768178495
0.7996.1173086372882.73379538846609
0.896.76626881619242.74427149919455
0.8197.41477362337132.69633944974221
0.8298.04837950454852.57894040177246
0.8398.65212068102062.39315435363306
0.8499.21381964748642.15390735532179
0.8599.72756976957411.88946154102610
0.86100.1966473163561.63857917844418
0.87100.6350697604551.4462879187087
0.88101.0671400613761.35576927636573
0.89101.5246344388141.39200914666902
0.9102.0418493713311.54446312756795
0.91102.6495605277901.77063304418950
0.92103.3699629730122.01356525741079
0.93104.2153264853462.22067094503214
0.94105.1921078827982.36353707433979
0.95106.3078332359992.45369280260044
0.96107.5701885816532.52262949270141
0.97108.9622561533772.52952933116457
0.98110.3869094817722.28680482215436
0.99111.6093172072801.68984686929436

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 53.0843728552169 & 2.13952931373823 \tabularnewline
0.02 & 54.435853748136 & 2.15994770484655 \tabularnewline
0.03 & 55.7788568098197 & 1.98783948936697 \tabularnewline
0.04 & 56.9106200396286 & 1.75823774517654 \tabularnewline
0.05 & 57.832992698689 & 1.64112875795961 \tabularnewline
0.06 & 58.6185138236263 & 1.66241506973296 \tabularnewline
0.07 & 59.3394986017759 & 1.78222883176232 \tabularnewline
0.08 & 60.0480267304054 & 1.97600986183868 \tabularnewline
0.09 & 60.7770293858107 & 2.22716494521265 \tabularnewline
0.1 & 61.5444746705704 & 2.50513571560623 \tabularnewline
0.11 & 62.3551294196286 & 2.76457830301437 \tabularnewline
0.12 & 63.2011984098548 & 2.95869417188781 \tabularnewline
0.13 & 64.0642795297017 & 3.05298638931246 \tabularnewline
0.14 & 64.9194472255467 & 3.03326905280566 \tabularnewline
0.15 & 65.7405957110532 & 2.9067454455379 \tabularnewline
0.16 & 66.50553361812 & 2.69828401552719 \tabularnewline
0.17 & 67.1996070960933 & 2.44309094604383 \tabularnewline
0.18 & 67.8173175425154 & 2.17945298870497 \tabularnewline
0.19 & 68.3620520541682 & 1.94259670185699 \tabularnewline
0.2 & 68.8444412166164 & 1.76081701162966 \tabularnewline
0.21 & 69.2799740014131 & 1.65364565619025 \tabularnewline
0.22 & 69.6864168126826 & 1.62827566954523 \tabularnewline
0.23 & 70.0814172682895 & 1.67997974522263 \tabularnewline
0.24 & 70.4805137430786 & 1.79348404237257 \tabularnewline
0.25 & 70.895662510964 & 1.94663772775299 \tabularnewline
0.26 & 71.3343350264179 & 2.11556620991028 \tabularnewline
0.27 & 71.7992036048332 & 2.27709678689167 \tabularnewline
0.28 & 72.2883980423189 & 2.41110083852845 \tabularnewline
0.29 & 72.7962661997032 & 2.50293117458086 \tabularnewline
0.3 & 73.3145138679747 & 2.54365920149708 \tabularnewline
0.31 & 73.8335505386269 & 2.53170443439959 \tabularnewline
0.32 & 74.3438458154443 & 2.47140912099918 \tabularnewline
0.33 & 74.8371151143544 & 2.37250631523733 \tabularnewline
0.34 & 75.3071994860355 & 2.24788344819545 \tabularnewline
0.35 & 75.750569354832 & 2.11195781763615 \tabularnewline
0.36 & 76.1664485232016 & 1.97921095593657 \tabularnewline
0.37 & 76.5566086191852 & 1.86213324434761 \tabularnewline
0.38 & 76.9249176680251 & 1.77096941079020 \tabularnewline
0.39 & 77.2767390930357 & 1.71210974320221 \tabularnewline
0.4 & 77.6182733769017 & 1.68853917284438 \tabularnewline
0.41 & 77.9559196923993 & 1.69947304404779 \tabularnewline
0.42 & 78.295714335025 & 1.74059528448232 \tabularnewline
0.43 & 78.6428807437024 & 1.80569257726763 \tabularnewline
0.44 & 79.0015052844831 & 1.88754219115550 \tabularnewline
0.45 & 79.3743363589421 & 1.97832703847482 \tabularnewline
0.46 & 79.7626939474377 & 2.07030509342236 \tabularnewline
0.47 & 80.1664735906324 & 2.15648780337523 \tabularnewline
0.48 & 80.584232472963 & 2.23039390012408 \tabularnewline
0.49 & 81.0133530105445 & 2.28613119755099 \tabularnewline
0.5 & 81.450286858813 & 2.31929172922769 \tabularnewline
0.51 & 81.8908849166462 & 2.32738410741127 \tabularnewline
0.52 & 82.330813394329 & 2.30994654763273 \tabularnewline
0.53 & 82.7660416389049 & 2.26957010530716 \tabularnewline
0.54 & 83.1933666155875 & 2.21113499006586 \tabularnewline
0.55 & 83.6109168445916 & 2.14323942646896 \tabularnewline
0.56 & 84.0185617227426 & 2.07638955671467 \tabularnewline
0.57 & 84.4181468161244 & 2.02269797078985 \tabularnewline
0.58 & 84.8134863294957 & 1.99424799394405 \tabularnewline
0.59 & 85.2100718442036 & 2.00088562109350 \tabularnewline
0.6 & 85.6144990357545 & 2.04830196550778 \tabularnewline
0.61 & 86.033665057019 & 2.13587677118466 \tabularnewline
0.62 & 86.4738391661845 & 2.25596012651438 \tabularnewline
0.63 & 86.939747101565 & 2.39654117075299 \tabularnewline
0.64 & 87.433825607381 & 2.54156134263182 \tabularnewline
0.65 & 87.9557907454051 & 2.6745320099534 \tabularnewline
0.66 & 88.502621107332 & 2.78064389024818 \tabularnewline
0.67 & 89.068990286148 & 2.84862194206876 \tabularnewline
0.68 & 89.648103421307 & 2.87319286643903 \tabularnewline
0.69 & 90.2328153291258 & 2.85531806982132 \tabularnewline
0.7 & 90.8168478278525 & 2.80281925775265 \tabularnewline
0.71 & 91.3958932091318 & 2.72829372534546 \tabularnewline
0.72 & 91.968395566315 & 2.64847598735229 \tabularnewline
0.73 & 92.535841779609 & 2.58083320489602 \tabularnewline
0.74 & 93.10246412076 & 2.53990027680230 \tabularnewline
0.75 & 93.6743481878879 & 2.53440490018603 \tabularnewline
0.76 & 94.2580431232944 & 2.56449410890229 \tabularnewline
0.77 & 94.8588744780626 & 2.62049987988085 \tabularnewline
0.78 & 95.4792500832773 & 2.68459768178495 \tabularnewline
0.79 & 96.117308637288 & 2.73379538846609 \tabularnewline
0.8 & 96.7662688161924 & 2.74427149919455 \tabularnewline
0.81 & 97.4147736233713 & 2.69633944974221 \tabularnewline
0.82 & 98.0483795045485 & 2.57894040177246 \tabularnewline
0.83 & 98.6521206810206 & 2.39315435363306 \tabularnewline
0.84 & 99.2138196474864 & 2.15390735532179 \tabularnewline
0.85 & 99.7275697695741 & 1.88946154102610 \tabularnewline
0.86 & 100.196647316356 & 1.63857917844418 \tabularnewline
0.87 & 100.635069760455 & 1.4462879187087 \tabularnewline
0.88 & 101.067140061376 & 1.35576927636573 \tabularnewline
0.89 & 101.524634438814 & 1.39200914666902 \tabularnewline
0.9 & 102.041849371331 & 1.54446312756795 \tabularnewline
0.91 & 102.649560527790 & 1.77063304418950 \tabularnewline
0.92 & 103.369962973012 & 2.01356525741079 \tabularnewline
0.93 & 104.215326485346 & 2.22067094503214 \tabularnewline
0.94 & 105.192107882798 & 2.36353707433979 \tabularnewline
0.95 & 106.307833235999 & 2.45369280260044 \tabularnewline
0.96 & 107.570188581653 & 2.52262949270141 \tabularnewline
0.97 & 108.962256153377 & 2.52952933116457 \tabularnewline
0.98 & 110.386909481772 & 2.28680482215436 \tabularnewline
0.99 & 111.609317207280 & 1.68984686929436 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5059&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]53.0843728552169[/C][C]2.13952931373823[/C][/ROW]
[ROW][C]0.02[/C][C]54.435853748136[/C][C]2.15994770484655[/C][/ROW]
[ROW][C]0.03[/C][C]55.7788568098197[/C][C]1.98783948936697[/C][/ROW]
[ROW][C]0.04[/C][C]56.9106200396286[/C][C]1.75823774517654[/C][/ROW]
[ROW][C]0.05[/C][C]57.832992698689[/C][C]1.64112875795961[/C][/ROW]
[ROW][C]0.06[/C][C]58.6185138236263[/C][C]1.66241506973296[/C][/ROW]
[ROW][C]0.07[/C][C]59.3394986017759[/C][C]1.78222883176232[/C][/ROW]
[ROW][C]0.08[/C][C]60.0480267304054[/C][C]1.97600986183868[/C][/ROW]
[ROW][C]0.09[/C][C]60.7770293858107[/C][C]2.22716494521265[/C][/ROW]
[ROW][C]0.1[/C][C]61.5444746705704[/C][C]2.50513571560623[/C][/ROW]
[ROW][C]0.11[/C][C]62.3551294196286[/C][C]2.76457830301437[/C][/ROW]
[ROW][C]0.12[/C][C]63.2011984098548[/C][C]2.95869417188781[/C][/ROW]
[ROW][C]0.13[/C][C]64.0642795297017[/C][C]3.05298638931246[/C][/ROW]
[ROW][C]0.14[/C][C]64.9194472255467[/C][C]3.03326905280566[/C][/ROW]
[ROW][C]0.15[/C][C]65.7405957110532[/C][C]2.9067454455379[/C][/ROW]
[ROW][C]0.16[/C][C]66.50553361812[/C][C]2.69828401552719[/C][/ROW]
[ROW][C]0.17[/C][C]67.1996070960933[/C][C]2.44309094604383[/C][/ROW]
[ROW][C]0.18[/C][C]67.8173175425154[/C][C]2.17945298870497[/C][/ROW]
[ROW][C]0.19[/C][C]68.3620520541682[/C][C]1.94259670185699[/C][/ROW]
[ROW][C]0.2[/C][C]68.8444412166164[/C][C]1.76081701162966[/C][/ROW]
[ROW][C]0.21[/C][C]69.2799740014131[/C][C]1.65364565619025[/C][/ROW]
[ROW][C]0.22[/C][C]69.6864168126826[/C][C]1.62827566954523[/C][/ROW]
[ROW][C]0.23[/C][C]70.0814172682895[/C][C]1.67997974522263[/C][/ROW]
[ROW][C]0.24[/C][C]70.4805137430786[/C][C]1.79348404237257[/C][/ROW]
[ROW][C]0.25[/C][C]70.895662510964[/C][C]1.94663772775299[/C][/ROW]
[ROW][C]0.26[/C][C]71.3343350264179[/C][C]2.11556620991028[/C][/ROW]
[ROW][C]0.27[/C][C]71.7992036048332[/C][C]2.27709678689167[/C][/ROW]
[ROW][C]0.28[/C][C]72.2883980423189[/C][C]2.41110083852845[/C][/ROW]
[ROW][C]0.29[/C][C]72.7962661997032[/C][C]2.50293117458086[/C][/ROW]
[ROW][C]0.3[/C][C]73.3145138679747[/C][C]2.54365920149708[/C][/ROW]
[ROW][C]0.31[/C][C]73.8335505386269[/C][C]2.53170443439959[/C][/ROW]
[ROW][C]0.32[/C][C]74.3438458154443[/C][C]2.47140912099918[/C][/ROW]
[ROW][C]0.33[/C][C]74.8371151143544[/C][C]2.37250631523733[/C][/ROW]
[ROW][C]0.34[/C][C]75.3071994860355[/C][C]2.24788344819545[/C][/ROW]
[ROW][C]0.35[/C][C]75.750569354832[/C][C]2.11195781763615[/C][/ROW]
[ROW][C]0.36[/C][C]76.1664485232016[/C][C]1.97921095593657[/C][/ROW]
[ROW][C]0.37[/C][C]76.5566086191852[/C][C]1.86213324434761[/C][/ROW]
[ROW][C]0.38[/C][C]76.9249176680251[/C][C]1.77096941079020[/C][/ROW]
[ROW][C]0.39[/C][C]77.2767390930357[/C][C]1.71210974320221[/C][/ROW]
[ROW][C]0.4[/C][C]77.6182733769017[/C][C]1.68853917284438[/C][/ROW]
[ROW][C]0.41[/C][C]77.9559196923993[/C][C]1.69947304404779[/C][/ROW]
[ROW][C]0.42[/C][C]78.295714335025[/C][C]1.74059528448232[/C][/ROW]
[ROW][C]0.43[/C][C]78.6428807437024[/C][C]1.80569257726763[/C][/ROW]
[ROW][C]0.44[/C][C]79.0015052844831[/C][C]1.88754219115550[/C][/ROW]
[ROW][C]0.45[/C][C]79.3743363589421[/C][C]1.97832703847482[/C][/ROW]
[ROW][C]0.46[/C][C]79.7626939474377[/C][C]2.07030509342236[/C][/ROW]
[ROW][C]0.47[/C][C]80.1664735906324[/C][C]2.15648780337523[/C][/ROW]
[ROW][C]0.48[/C][C]80.584232472963[/C][C]2.23039390012408[/C][/ROW]
[ROW][C]0.49[/C][C]81.0133530105445[/C][C]2.28613119755099[/C][/ROW]
[ROW][C]0.5[/C][C]81.450286858813[/C][C]2.31929172922769[/C][/ROW]
[ROW][C]0.51[/C][C]81.8908849166462[/C][C]2.32738410741127[/C][/ROW]
[ROW][C]0.52[/C][C]82.330813394329[/C][C]2.30994654763273[/C][/ROW]
[ROW][C]0.53[/C][C]82.7660416389049[/C][C]2.26957010530716[/C][/ROW]
[ROW][C]0.54[/C][C]83.1933666155875[/C][C]2.21113499006586[/C][/ROW]
[ROW][C]0.55[/C][C]83.6109168445916[/C][C]2.14323942646896[/C][/ROW]
[ROW][C]0.56[/C][C]84.0185617227426[/C][C]2.07638955671467[/C][/ROW]
[ROW][C]0.57[/C][C]84.4181468161244[/C][C]2.02269797078985[/C][/ROW]
[ROW][C]0.58[/C][C]84.8134863294957[/C][C]1.99424799394405[/C][/ROW]
[ROW][C]0.59[/C][C]85.2100718442036[/C][C]2.00088562109350[/C][/ROW]
[ROW][C]0.6[/C][C]85.6144990357545[/C][C]2.04830196550778[/C][/ROW]
[ROW][C]0.61[/C][C]86.033665057019[/C][C]2.13587677118466[/C][/ROW]
[ROW][C]0.62[/C][C]86.4738391661845[/C][C]2.25596012651438[/C][/ROW]
[ROW][C]0.63[/C][C]86.939747101565[/C][C]2.39654117075299[/C][/ROW]
[ROW][C]0.64[/C][C]87.433825607381[/C][C]2.54156134263182[/C][/ROW]
[ROW][C]0.65[/C][C]87.9557907454051[/C][C]2.6745320099534[/C][/ROW]
[ROW][C]0.66[/C][C]88.502621107332[/C][C]2.78064389024818[/C][/ROW]
[ROW][C]0.67[/C][C]89.068990286148[/C][C]2.84862194206876[/C][/ROW]
[ROW][C]0.68[/C][C]89.648103421307[/C][C]2.87319286643903[/C][/ROW]
[ROW][C]0.69[/C][C]90.2328153291258[/C][C]2.85531806982132[/C][/ROW]
[ROW][C]0.7[/C][C]90.8168478278525[/C][C]2.80281925775265[/C][/ROW]
[ROW][C]0.71[/C][C]91.3958932091318[/C][C]2.72829372534546[/C][/ROW]
[ROW][C]0.72[/C][C]91.968395566315[/C][C]2.64847598735229[/C][/ROW]
[ROW][C]0.73[/C][C]92.535841779609[/C][C]2.58083320489602[/C][/ROW]
[ROW][C]0.74[/C][C]93.10246412076[/C][C]2.53990027680230[/C][/ROW]
[ROW][C]0.75[/C][C]93.6743481878879[/C][C]2.53440490018603[/C][/ROW]
[ROW][C]0.76[/C][C]94.2580431232944[/C][C]2.56449410890229[/C][/ROW]
[ROW][C]0.77[/C][C]94.8588744780626[/C][C]2.62049987988085[/C][/ROW]
[ROW][C]0.78[/C][C]95.4792500832773[/C][C]2.68459768178495[/C][/ROW]
[ROW][C]0.79[/C][C]96.117308637288[/C][C]2.73379538846609[/C][/ROW]
[ROW][C]0.8[/C][C]96.7662688161924[/C][C]2.74427149919455[/C][/ROW]
[ROW][C]0.81[/C][C]97.4147736233713[/C][C]2.69633944974221[/C][/ROW]
[ROW][C]0.82[/C][C]98.0483795045485[/C][C]2.57894040177246[/C][/ROW]
[ROW][C]0.83[/C][C]98.6521206810206[/C][C]2.39315435363306[/C][/ROW]
[ROW][C]0.84[/C][C]99.2138196474864[/C][C]2.15390735532179[/C][/ROW]
[ROW][C]0.85[/C][C]99.7275697695741[/C][C]1.88946154102610[/C][/ROW]
[ROW][C]0.86[/C][C]100.196647316356[/C][C]1.63857917844418[/C][/ROW]
[ROW][C]0.87[/C][C]100.635069760455[/C][C]1.4462879187087[/C][/ROW]
[ROW][C]0.88[/C][C]101.067140061376[/C][C]1.35576927636573[/C][/ROW]
[ROW][C]0.89[/C][C]101.524634438814[/C][C]1.39200914666902[/C][/ROW]
[ROW][C]0.9[/C][C]102.041849371331[/C][C]1.54446312756795[/C][/ROW]
[ROW][C]0.91[/C][C]102.649560527790[/C][C]1.77063304418950[/C][/ROW]
[ROW][C]0.92[/C][C]103.369962973012[/C][C]2.01356525741079[/C][/ROW]
[ROW][C]0.93[/C][C]104.215326485346[/C][C]2.22067094503214[/C][/ROW]
[ROW][C]0.94[/C][C]105.192107882798[/C][C]2.36353707433979[/C][/ROW]
[ROW][C]0.95[/C][C]106.307833235999[/C][C]2.45369280260044[/C][/ROW]
[ROW][C]0.96[/C][C]107.570188581653[/C][C]2.52262949270141[/C][/ROW]
[ROW][C]0.97[/C][C]108.962256153377[/C][C]2.52952933116457[/C][/ROW]
[ROW][C]0.98[/C][C]110.386909481772[/C][C]2.28680482215436[/C][/ROW]
[ROW][C]0.99[/C][C]111.609317207280[/C][C]1.68984686929436[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5059&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
0.0153.08437285521692.13952931373823
0.0254.4358537481362.15994770484655
0.0355.77885680981971.98783948936697
0.0456.91062003962861.75823774517654
0.0557.8329926986891.64112875795961
0.0658.61851382362631.66241506973296
0.0759.33949860177591.78222883176232
0.0860.04802673040541.97600986183868
0.0960.77702938581072.22716494521265
0.161.54447467057042.50513571560623
0.1162.35512941962862.76457830301437
0.1263.20119840985482.95869417188781
0.1364.06427952970173.05298638931246
0.1464.91944722554673.03326905280566
0.1565.74059571105322.9067454455379
0.1666.505533618122.69828401552719
0.1767.19960709609332.44309094604383
0.1867.81731754251542.17945298870497
0.1968.36205205416821.94259670185699
0.268.84444121661641.76081701162966
0.2169.27997400141311.65364565619025
0.2269.68641681268261.62827566954523
0.2370.08141726828951.67997974522263
0.2470.48051374307861.79348404237257
0.2570.8956625109641.94663772775299
0.2671.33433502641792.11556620991028
0.2771.79920360483322.27709678689167
0.2872.28839804231892.41110083852845
0.2972.79626619970322.50293117458086
0.373.31451386797472.54365920149708
0.3173.83355053862692.53170443439959
0.3274.34384581544432.47140912099918
0.3374.83711511435442.37250631523733
0.3475.30719948603552.24788344819545
0.3575.7505693548322.11195781763615
0.3676.16644852320161.97921095593657
0.3776.55660861918521.86213324434761
0.3876.92491766802511.77096941079020
0.3977.27673909303571.71210974320221
0.477.61827337690171.68853917284438
0.4177.95591969239931.69947304404779
0.4278.2957143350251.74059528448232
0.4378.64288074370241.80569257726763
0.4479.00150528448311.88754219115550
0.4579.37433635894211.97832703847482
0.4679.76269394743772.07030509342236
0.4780.16647359063242.15648780337523
0.4880.5842324729632.23039390012408
0.4981.01335301054452.28613119755099
0.581.4502868588132.31929172922769
0.5181.89088491664622.32738410741127
0.5282.3308133943292.30994654763273
0.5382.76604163890492.26957010530716
0.5483.19336661558752.21113499006586
0.5583.61091684459162.14323942646896
0.5684.01856172274262.07638955671467
0.5784.41814681612442.02269797078985
0.5884.81348632949571.99424799394405
0.5985.21007184420362.00088562109350
0.685.61449903575452.04830196550778
0.6186.0336650570192.13587677118466
0.6286.47383916618452.25596012651438
0.6386.9397471015652.39654117075299
0.6487.4338256073812.54156134263182
0.6587.95579074540512.6745320099534
0.6688.5026211073322.78064389024818
0.6789.0689902861482.84862194206876
0.6889.6481034213072.87319286643903
0.6990.23281532912582.85531806982132
0.790.81684782785252.80281925775265
0.7191.39589320913182.72829372534546
0.7291.9683955663152.64847598735229
0.7392.5358417796092.58083320489602
0.7493.102464120762.53990027680230
0.7593.67434818788792.53440490018603
0.7694.25804312329442.56449410890229
0.7794.85887447806262.62049987988085
0.7895.47925008327732.68459768178495
0.7996.1173086372882.73379538846609
0.896.76626881619242.74427149919455
0.8197.41477362337132.69633944974221
0.8298.04837950454852.57894040177246
0.8398.65212068102062.39315435363306
0.8499.21381964748642.15390735532179
0.8599.72756976957411.88946154102610
0.86100.1966473163561.63857917844418
0.87100.6350697604551.4462879187087
0.88101.0671400613761.35576927636573
0.89101.5246344388141.39200914666902
0.9102.0418493713311.54446312756795
0.91102.6495605277901.77063304418950
0.92103.3699629730122.01356525741079
0.93104.2153264853462.22067094503214
0.94105.1921078827982.36353707433979
0.95106.3078332359992.45369280260044
0.96107.5701885816532.52262949270141
0.97108.9622561533772.52952933116457
0.98110.3869094817722.28680482215436
0.99111.6093172072801.68984686929436


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')