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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, 08 Oct 2015 20:30:06 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/08/t1444332642vo4e98lcaux7v3b.htm/, Retrieved Thu, 12 Feb 2026 09:28:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281649, Retrieved Thu, 12 Feb 2026 09:28:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact324

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] [percentielen kaas...] [2015-10-08 19:30:06] [c4e632f9a17048eeb9519d4e8ae83546] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.58
80.08
80.41
80.34
80.32
80.39
81.01
81.54
82.48
84.68
88.26
90.6
92.46
93.31
93.58
93.92
93.92
93.67
93.76
93.95
93.89
94.07
93.93
93.35
93.58
93.55
93.44
93.38
93.17
92.95
93.37
94.13
94.07
94
94.47
94.81
94.18
94.14
93.96
93.23
93.13
92.51
92.49
92.73
92.75
92.83
92.85
93.27
93.98
94.34
94.57
94.62
94.82
95.07
95.72
96.06
96.54
96.38
96.8
97.02
97.29
97.45
97.95
97.69
97.63
97.35
97.38
98.06
98.34
98.53
98.79
98.77
99.2
99.76
99.84
99.83
99.88
99.48
99.66
99.58
99.89
100.7
101.19
100.99
101.52
101.75
101.56
102.57
102.66
102.62
102.76
102.73
102.26
101.72
101.48
100.93

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=281649&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=281649&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281649&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
0.0179.79045763531050.386293384925083
0.0280.05617678250710.280312190943581
0.0380.2824548531210.310633559476732
0.0480.51740163051460.562623634878388
0.0580.85566989701681.03865994862358
0.0681.38221265548551.70864365973214
0.0782.15058610984342.49170166161915
0.0883.17051373401863.25539389866034
0.0984.40282739210943.84867670269431
0.185.76620473030984.15256836045966
0.1187.1558952036334.11893722432936
0.1288.46847937816863.78155665342634
0.1389.62378924371863.2351276882726
0.1490.5770955794142.59767934729171
0.1591.31966097800761.97451645128761
0.1691.87046966675891.4368684734957
0.1792.26416775215841.0172502698732
0.1892.53979179776610.716811989640413
0.1992.73290876443590.517744048244545
0.292.87171953848190.394347320880494
0.2192.97632256914560.320780471871107
0.2293.05985006840950.276715885906361
0.2393.13032060072540.248951290096996
0.2493.19244624334020.230142227979013
0.2593.24903112181220.217378217089995
0.2693.30188188193330.209359449565855
0.2793.35230349280070.2055092596169
0.2893.40130798421960.205201869010488
0.2993.44966062001450.207567591643647
0.393.49785990115780.210987131937278
0.3193.54611430717380.214311267739089
0.3293.59434929315580.216172189546916
0.3393.64225585714640.215699009436544
0.3493.68937685092160.212411362292771
0.3593.73521792416060.206278285711692
0.3693.77936546387290.198289634364984
0.3793.8215934413190.189351105244089
0.3893.86194419985360.181008645292566
0.3993.90077411526860.175248174124251
0.493.93876239283530.173387089390215
0.4193.97688827488930.177219708770291
0.4294.01638690758070.187913712985607
0.4394.05869591178130.206127698239729
0.4494.10540305831310.232679558067394
0.4594.15820096760010.267292760716569
0.4694.21884866267190.310372845732218
0.4794.28913364030180.361944346849963
0.4894.37082351142940.421656606718293
0.4994.46559473380110.489170720357654
0.594.57492871431270.563290774875253
0.5194.69997303844670.642080957725711
0.5294.84137697699530.722507104920777
0.5394.99912335917690.801015732401022
0.5495.17238970494260.873161397676481
0.5595.3594761144070.934393166370342
0.5695.55783279279810.980699441291735
0.5795.76420561486121.00881081608142
0.5895.97489622417661.01744813687136
0.5996.18610884665041.00694830914781
0.696.39433544644310.979664563094382
0.6196.59671946962840.939667996914229
0.6296.79133921144690.892004947004829
0.6396.97736465080870.842546683238131
0.6497.15506335788370.796774295306894
0.6597.32565685536910.759175861421933
0.6697.49105314179810.732598839971999
0.6797.65349929744760.717855822085379
0.6897.8152073357920.713783155642595
0.6997.97800629084380.71734367530366
0.798.14306590704830.724836593169246
0.7198.31072582372420.731665209367476
0.7298.48045250637580.734094546917668
0.7398.65093622390150.728773051505003
0.7498.82033070619590.713662946993037
0.7598.98662424699690.688636577912385
0.7699.14810774035910.655497306186071
0.7799.30387083644340.618379537423589
0.7899.45421856517970.583004330620476
0.7999.60087399559570.556123177734642
0.899.74684094902450.543932589896868
0.8199.89586383675250.548976280726796
0.82100.0515401554360.568858630775549
0.83100.2162858540570.596176587917728
0.84100.390467962370.62030551265497
0.85100.5720406910740.631237754914779
0.86100.7569181193190.622194019700147
0.87100.940108314320.591937617792982
0.88101.1173803017110.545486909142655
0.89101.2869942803320.493501255795677
0.9101.4508260212840.449634470259822
0.91101.6141098598380.42623949375583
0.92101.7831974675230.425846017246285
0.93101.9615086965850.434964852223691
0.94102.1453477313220.427769309774859
0.95102.3226809709220.381696213414433
0.96102.4774174561340.294657418949686
0.97102.5977675952180.191054551782053
0.98102.6820560588580.105050711954192
0.99102.7352966282370.0519068906187741

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 79.7904576353105 & 0.386293384925083 \tabularnewline
0.02 & 80.0561767825071 & 0.280312190943581 \tabularnewline
0.03 & 80.282454853121 & 0.310633559476732 \tabularnewline
0.04 & 80.5174016305146 & 0.562623634878388 \tabularnewline
0.05 & 80.8556698970168 & 1.03865994862358 \tabularnewline
0.06 & 81.3822126554855 & 1.70864365973214 \tabularnewline
0.07 & 82.1505861098434 & 2.49170166161915 \tabularnewline
0.08 & 83.1705137340186 & 3.25539389866034 \tabularnewline
0.09 & 84.4028273921094 & 3.84867670269431 \tabularnewline
0.1 & 85.7662047303098 & 4.15256836045966 \tabularnewline
0.11 & 87.155895203633 & 4.11893722432936 \tabularnewline
0.12 & 88.4684793781686 & 3.78155665342634 \tabularnewline
0.13 & 89.6237892437186 & 3.2351276882726 \tabularnewline
0.14 & 90.577095579414 & 2.59767934729171 \tabularnewline
0.15 & 91.3196609780076 & 1.97451645128761 \tabularnewline
0.16 & 91.8704696667589 & 1.4368684734957 \tabularnewline
0.17 & 92.2641677521584 & 1.0172502698732 \tabularnewline
0.18 & 92.5397917977661 & 0.716811989640413 \tabularnewline
0.19 & 92.7329087644359 & 0.517744048244545 \tabularnewline
0.2 & 92.8717195384819 & 0.394347320880494 \tabularnewline
0.21 & 92.9763225691456 & 0.320780471871107 \tabularnewline
0.22 & 93.0598500684095 & 0.276715885906361 \tabularnewline
0.23 & 93.1303206007254 & 0.248951290096996 \tabularnewline
0.24 & 93.1924462433402 & 0.230142227979013 \tabularnewline
0.25 & 93.2490311218122 & 0.217378217089995 \tabularnewline
0.26 & 93.3018818819333 & 0.209359449565855 \tabularnewline
0.27 & 93.3523034928007 & 0.2055092596169 \tabularnewline
0.28 & 93.4013079842196 & 0.205201869010488 \tabularnewline
0.29 & 93.4496606200145 & 0.207567591643647 \tabularnewline
0.3 & 93.4978599011578 & 0.210987131937278 \tabularnewline
0.31 & 93.5461143071738 & 0.214311267739089 \tabularnewline
0.32 & 93.5943492931558 & 0.216172189546916 \tabularnewline
0.33 & 93.6422558571464 & 0.215699009436544 \tabularnewline
0.34 & 93.6893768509216 & 0.212411362292771 \tabularnewline
0.35 & 93.7352179241606 & 0.206278285711692 \tabularnewline
0.36 & 93.7793654638729 & 0.198289634364984 \tabularnewline
0.37 & 93.821593441319 & 0.189351105244089 \tabularnewline
0.38 & 93.8619441998536 & 0.181008645292566 \tabularnewline
0.39 & 93.9007741152686 & 0.175248174124251 \tabularnewline
0.4 & 93.9387623928353 & 0.173387089390215 \tabularnewline
0.41 & 93.9768882748893 & 0.177219708770291 \tabularnewline
0.42 & 94.0163869075807 & 0.187913712985607 \tabularnewline
0.43 & 94.0586959117813 & 0.206127698239729 \tabularnewline
0.44 & 94.1054030583131 & 0.232679558067394 \tabularnewline
0.45 & 94.1582009676001 & 0.267292760716569 \tabularnewline
0.46 & 94.2188486626719 & 0.310372845732218 \tabularnewline
0.47 & 94.2891336403018 & 0.361944346849963 \tabularnewline
0.48 & 94.3708235114294 & 0.421656606718293 \tabularnewline
0.49 & 94.4655947338011 & 0.489170720357654 \tabularnewline
0.5 & 94.5749287143127 & 0.563290774875253 \tabularnewline
0.51 & 94.6999730384467 & 0.642080957725711 \tabularnewline
0.52 & 94.8413769769953 & 0.722507104920777 \tabularnewline
0.53 & 94.9991233591769 & 0.801015732401022 \tabularnewline
0.54 & 95.1723897049426 & 0.873161397676481 \tabularnewline
0.55 & 95.359476114407 & 0.934393166370342 \tabularnewline
0.56 & 95.5578327927981 & 0.980699441291735 \tabularnewline
0.57 & 95.7642056148612 & 1.00881081608142 \tabularnewline
0.58 & 95.9748962241766 & 1.01744813687136 \tabularnewline
0.59 & 96.1861088466504 & 1.00694830914781 \tabularnewline
0.6 & 96.3943354464431 & 0.979664563094382 \tabularnewline
0.61 & 96.5967194696284 & 0.939667996914229 \tabularnewline
0.62 & 96.7913392114469 & 0.892004947004829 \tabularnewline
0.63 & 96.9773646508087 & 0.842546683238131 \tabularnewline
0.64 & 97.1550633578837 & 0.796774295306894 \tabularnewline
0.65 & 97.3256568553691 & 0.759175861421933 \tabularnewline
0.66 & 97.4910531417981 & 0.732598839971999 \tabularnewline
0.67 & 97.6534992974476 & 0.717855822085379 \tabularnewline
0.68 & 97.815207335792 & 0.713783155642595 \tabularnewline
0.69 & 97.9780062908438 & 0.71734367530366 \tabularnewline
0.7 & 98.1430659070483 & 0.724836593169246 \tabularnewline
0.71 & 98.3107258237242 & 0.731665209367476 \tabularnewline
0.72 & 98.4804525063758 & 0.734094546917668 \tabularnewline
0.73 & 98.6509362239015 & 0.728773051505003 \tabularnewline
0.74 & 98.8203307061959 & 0.713662946993037 \tabularnewline
0.75 & 98.9866242469969 & 0.688636577912385 \tabularnewline
0.76 & 99.1481077403591 & 0.655497306186071 \tabularnewline
0.77 & 99.3038708364434 & 0.618379537423589 \tabularnewline
0.78 & 99.4542185651797 & 0.583004330620476 \tabularnewline
0.79 & 99.6008739955957 & 0.556123177734642 \tabularnewline
0.8 & 99.7468409490245 & 0.543932589896868 \tabularnewline
0.81 & 99.8958638367525 & 0.548976280726796 \tabularnewline
0.82 & 100.051540155436 & 0.568858630775549 \tabularnewline
0.83 & 100.216285854057 & 0.596176587917728 \tabularnewline
0.84 & 100.39046796237 & 0.62030551265497 \tabularnewline
0.85 & 100.572040691074 & 0.631237754914779 \tabularnewline
0.86 & 100.756918119319 & 0.622194019700147 \tabularnewline
0.87 & 100.94010831432 & 0.591937617792982 \tabularnewline
0.88 & 101.117380301711 & 0.545486909142655 \tabularnewline
0.89 & 101.286994280332 & 0.493501255795677 \tabularnewline
0.9 & 101.450826021284 & 0.449634470259822 \tabularnewline
0.91 & 101.614109859838 & 0.42623949375583 \tabularnewline
0.92 & 101.783197467523 & 0.425846017246285 \tabularnewline
0.93 & 101.961508696585 & 0.434964852223691 \tabularnewline
0.94 & 102.145347731322 & 0.427769309774859 \tabularnewline
0.95 & 102.322680970922 & 0.381696213414433 \tabularnewline
0.96 & 102.477417456134 & 0.294657418949686 \tabularnewline
0.97 & 102.597767595218 & 0.191054551782053 \tabularnewline
0.98 & 102.682056058858 & 0.105050711954192 \tabularnewline
0.99 & 102.735296628237 & 0.0519068906187741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281649&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]79.7904576353105[/C][C]0.386293384925083[/C][/ROW]
[ROW][C]0.02[/C][C]80.0561767825071[/C][C]0.280312190943581[/C][/ROW]
[ROW][C]0.03[/C][C]80.282454853121[/C][C]0.310633559476732[/C][/ROW]
[ROW][C]0.04[/C][C]80.5174016305146[/C][C]0.562623634878388[/C][/ROW]
[ROW][C]0.05[/C][C]80.8556698970168[/C][C]1.03865994862358[/C][/ROW]
[ROW][C]0.06[/C][C]81.3822126554855[/C][C]1.70864365973214[/C][/ROW]
[ROW][C]0.07[/C][C]82.1505861098434[/C][C]2.49170166161915[/C][/ROW]
[ROW][C]0.08[/C][C]83.1705137340186[/C][C]3.25539389866034[/C][/ROW]
[ROW][C]0.09[/C][C]84.4028273921094[/C][C]3.84867670269431[/C][/ROW]
[ROW][C]0.1[/C][C]85.7662047303098[/C][C]4.15256836045966[/C][/ROW]
[ROW][C]0.11[/C][C]87.155895203633[/C][C]4.11893722432936[/C][/ROW]
[ROW][C]0.12[/C][C]88.4684793781686[/C][C]3.78155665342634[/C][/ROW]
[ROW][C]0.13[/C][C]89.6237892437186[/C][C]3.2351276882726[/C][/ROW]
[ROW][C]0.14[/C][C]90.577095579414[/C][C]2.59767934729171[/C][/ROW]
[ROW][C]0.15[/C][C]91.3196609780076[/C][C]1.97451645128761[/C][/ROW]
[ROW][C]0.16[/C][C]91.8704696667589[/C][C]1.4368684734957[/C][/ROW]
[ROW][C]0.17[/C][C]92.2641677521584[/C][C]1.0172502698732[/C][/ROW]
[ROW][C]0.18[/C][C]92.5397917977661[/C][C]0.716811989640413[/C][/ROW]
[ROW][C]0.19[/C][C]92.7329087644359[/C][C]0.517744048244545[/C][/ROW]
[ROW][C]0.2[/C][C]92.8717195384819[/C][C]0.394347320880494[/C][/ROW]
[ROW][C]0.21[/C][C]92.9763225691456[/C][C]0.320780471871107[/C][/ROW]
[ROW][C]0.22[/C][C]93.0598500684095[/C][C]0.276715885906361[/C][/ROW]
[ROW][C]0.23[/C][C]93.1303206007254[/C][C]0.248951290096996[/C][/ROW]
[ROW][C]0.24[/C][C]93.1924462433402[/C][C]0.230142227979013[/C][/ROW]
[ROW][C]0.25[/C][C]93.2490311218122[/C][C]0.217378217089995[/C][/ROW]
[ROW][C]0.26[/C][C]93.3018818819333[/C][C]0.209359449565855[/C][/ROW]
[ROW][C]0.27[/C][C]93.3523034928007[/C][C]0.2055092596169[/C][/ROW]
[ROW][C]0.28[/C][C]93.4013079842196[/C][C]0.205201869010488[/C][/ROW]
[ROW][C]0.29[/C][C]93.4496606200145[/C][C]0.207567591643647[/C][/ROW]
[ROW][C]0.3[/C][C]93.4978599011578[/C][C]0.210987131937278[/C][/ROW]
[ROW][C]0.31[/C][C]93.5461143071738[/C][C]0.214311267739089[/C][/ROW]
[ROW][C]0.32[/C][C]93.5943492931558[/C][C]0.216172189546916[/C][/ROW]
[ROW][C]0.33[/C][C]93.6422558571464[/C][C]0.215699009436544[/C][/ROW]
[ROW][C]0.34[/C][C]93.6893768509216[/C][C]0.212411362292771[/C][/ROW]
[ROW][C]0.35[/C][C]93.7352179241606[/C][C]0.206278285711692[/C][/ROW]
[ROW][C]0.36[/C][C]93.7793654638729[/C][C]0.198289634364984[/C][/ROW]
[ROW][C]0.37[/C][C]93.821593441319[/C][C]0.189351105244089[/C][/ROW]
[ROW][C]0.38[/C][C]93.8619441998536[/C][C]0.181008645292566[/C][/ROW]
[ROW][C]0.39[/C][C]93.9007741152686[/C][C]0.175248174124251[/C][/ROW]
[ROW][C]0.4[/C][C]93.9387623928353[/C][C]0.173387089390215[/C][/ROW]
[ROW][C]0.41[/C][C]93.9768882748893[/C][C]0.177219708770291[/C][/ROW]
[ROW][C]0.42[/C][C]94.0163869075807[/C][C]0.187913712985607[/C][/ROW]
[ROW][C]0.43[/C][C]94.0586959117813[/C][C]0.206127698239729[/C][/ROW]
[ROW][C]0.44[/C][C]94.1054030583131[/C][C]0.232679558067394[/C][/ROW]
[ROW][C]0.45[/C][C]94.1582009676001[/C][C]0.267292760716569[/C][/ROW]
[ROW][C]0.46[/C][C]94.2188486626719[/C][C]0.310372845732218[/C][/ROW]
[ROW][C]0.47[/C][C]94.2891336403018[/C][C]0.361944346849963[/C][/ROW]
[ROW][C]0.48[/C][C]94.3708235114294[/C][C]0.421656606718293[/C][/ROW]
[ROW][C]0.49[/C][C]94.4655947338011[/C][C]0.489170720357654[/C][/ROW]
[ROW][C]0.5[/C][C]94.5749287143127[/C][C]0.563290774875253[/C][/ROW]
[ROW][C]0.51[/C][C]94.6999730384467[/C][C]0.642080957725711[/C][/ROW]
[ROW][C]0.52[/C][C]94.8413769769953[/C][C]0.722507104920777[/C][/ROW]
[ROW][C]0.53[/C][C]94.9991233591769[/C][C]0.801015732401022[/C][/ROW]
[ROW][C]0.54[/C][C]95.1723897049426[/C][C]0.873161397676481[/C][/ROW]
[ROW][C]0.55[/C][C]95.359476114407[/C][C]0.934393166370342[/C][/ROW]
[ROW][C]0.56[/C][C]95.5578327927981[/C][C]0.980699441291735[/C][/ROW]
[ROW][C]0.57[/C][C]95.7642056148612[/C][C]1.00881081608142[/C][/ROW]
[ROW][C]0.58[/C][C]95.9748962241766[/C][C]1.01744813687136[/C][/ROW]
[ROW][C]0.59[/C][C]96.1861088466504[/C][C]1.00694830914781[/C][/ROW]
[ROW][C]0.6[/C][C]96.3943354464431[/C][C]0.979664563094382[/C][/ROW]
[ROW][C]0.61[/C][C]96.5967194696284[/C][C]0.939667996914229[/C][/ROW]
[ROW][C]0.62[/C][C]96.7913392114469[/C][C]0.892004947004829[/C][/ROW]
[ROW][C]0.63[/C][C]96.9773646508087[/C][C]0.842546683238131[/C][/ROW]
[ROW][C]0.64[/C][C]97.1550633578837[/C][C]0.796774295306894[/C][/ROW]
[ROW][C]0.65[/C][C]97.3256568553691[/C][C]0.759175861421933[/C][/ROW]
[ROW][C]0.66[/C][C]97.4910531417981[/C][C]0.732598839971999[/C][/ROW]
[ROW][C]0.67[/C][C]97.6534992974476[/C][C]0.717855822085379[/C][/ROW]
[ROW][C]0.68[/C][C]97.815207335792[/C][C]0.713783155642595[/C][/ROW]
[ROW][C]0.69[/C][C]97.9780062908438[/C][C]0.71734367530366[/C][/ROW]
[ROW][C]0.7[/C][C]98.1430659070483[/C][C]0.724836593169246[/C][/ROW]
[ROW][C]0.71[/C][C]98.3107258237242[/C][C]0.731665209367476[/C][/ROW]
[ROW][C]0.72[/C][C]98.4804525063758[/C][C]0.734094546917668[/C][/ROW]
[ROW][C]0.73[/C][C]98.6509362239015[/C][C]0.728773051505003[/C][/ROW]
[ROW][C]0.74[/C][C]98.8203307061959[/C][C]0.713662946993037[/C][/ROW]
[ROW][C]0.75[/C][C]98.9866242469969[/C][C]0.688636577912385[/C][/ROW]
[ROW][C]0.76[/C][C]99.1481077403591[/C][C]0.655497306186071[/C][/ROW]
[ROW][C]0.77[/C][C]99.3038708364434[/C][C]0.618379537423589[/C][/ROW]
[ROW][C]0.78[/C][C]99.4542185651797[/C][C]0.583004330620476[/C][/ROW]
[ROW][C]0.79[/C][C]99.6008739955957[/C][C]0.556123177734642[/C][/ROW]
[ROW][C]0.8[/C][C]99.7468409490245[/C][C]0.543932589896868[/C][/ROW]
[ROW][C]0.81[/C][C]99.8958638367525[/C][C]0.548976280726796[/C][/ROW]
[ROW][C]0.82[/C][C]100.051540155436[/C][C]0.568858630775549[/C][/ROW]
[ROW][C]0.83[/C][C]100.216285854057[/C][C]0.596176587917728[/C][/ROW]
[ROW][C]0.84[/C][C]100.39046796237[/C][C]0.62030551265497[/C][/ROW]
[ROW][C]0.85[/C][C]100.572040691074[/C][C]0.631237754914779[/C][/ROW]
[ROW][C]0.86[/C][C]100.756918119319[/C][C]0.622194019700147[/C][/ROW]
[ROW][C]0.87[/C][C]100.94010831432[/C][C]0.591937617792982[/C][/ROW]
[ROW][C]0.88[/C][C]101.117380301711[/C][C]0.545486909142655[/C][/ROW]
[ROW][C]0.89[/C][C]101.286994280332[/C][C]0.493501255795677[/C][/ROW]
[ROW][C]0.9[/C][C]101.450826021284[/C][C]0.449634470259822[/C][/ROW]
[ROW][C]0.91[/C][C]101.614109859838[/C][C]0.42623949375583[/C][/ROW]
[ROW][C]0.92[/C][C]101.783197467523[/C][C]0.425846017246285[/C][/ROW]
[ROW][C]0.93[/C][C]101.961508696585[/C][C]0.434964852223691[/C][/ROW]
[ROW][C]0.94[/C][C]102.145347731322[/C][C]0.427769309774859[/C][/ROW]
[ROW][C]0.95[/C][C]102.322680970922[/C][C]0.381696213414433[/C][/ROW]
[ROW][C]0.96[/C][C]102.477417456134[/C][C]0.294657418949686[/C][/ROW]
[ROW][C]0.97[/C][C]102.597767595218[/C][C]0.191054551782053[/C][/ROW]
[ROW][C]0.98[/C][C]102.682056058858[/C][C]0.105050711954192[/C][/ROW]
[ROW][C]0.99[/C][C]102.735296628237[/C][C]0.0519068906187741[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281649&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281649&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
0.0179.79045763531050.386293384925083
0.0280.05617678250710.280312190943581
0.0380.2824548531210.310633559476732
0.0480.51740163051460.562623634878388
0.0580.85566989701681.03865994862358
0.0681.38221265548551.70864365973214
0.0782.15058610984342.49170166161915
0.0883.17051373401863.25539389866034
0.0984.40282739210943.84867670269431
0.185.76620473030984.15256836045966
0.1187.1558952036334.11893722432936
0.1288.46847937816863.78155665342634
0.1389.62378924371863.2351276882726
0.1490.5770955794142.59767934729171
0.1591.31966097800761.97451645128761
0.1691.87046966675891.4368684734957
0.1792.26416775215841.0172502698732
0.1892.53979179776610.716811989640413
0.1992.73290876443590.517744048244545
0.292.87171953848190.394347320880494
0.2192.97632256914560.320780471871107
0.2293.05985006840950.276715885906361
0.2393.13032060072540.248951290096996
0.2493.19244624334020.230142227979013
0.2593.24903112181220.217378217089995
0.2693.30188188193330.209359449565855
0.2793.35230349280070.2055092596169
0.2893.40130798421960.205201869010488
0.2993.44966062001450.207567591643647
0.393.49785990115780.210987131937278
0.3193.54611430717380.214311267739089
0.3293.59434929315580.216172189546916
0.3393.64225585714640.215699009436544
0.3493.68937685092160.212411362292771
0.3593.73521792416060.206278285711692
0.3693.77936546387290.198289634364984
0.3793.8215934413190.189351105244089
0.3893.86194419985360.181008645292566
0.3993.90077411526860.175248174124251
0.493.93876239283530.173387089390215
0.4193.97688827488930.177219708770291
0.4294.01638690758070.187913712985607
0.4394.05869591178130.206127698239729
0.4494.10540305831310.232679558067394
0.4594.15820096760010.267292760716569
0.4694.21884866267190.310372845732218
0.4794.28913364030180.361944346849963
0.4894.37082351142940.421656606718293
0.4994.46559473380110.489170720357654
0.594.57492871431270.563290774875253
0.5194.69997303844670.642080957725711
0.5294.84137697699530.722507104920777
0.5394.99912335917690.801015732401022
0.5495.17238970494260.873161397676481
0.5595.3594761144070.934393166370342
0.5695.55783279279810.980699441291735
0.5795.76420561486121.00881081608142
0.5895.97489622417661.01744813687136
0.5996.18610884665041.00694830914781
0.696.39433544644310.979664563094382
0.6196.59671946962840.939667996914229
0.6296.79133921144690.892004947004829
0.6396.97736465080870.842546683238131
0.6497.15506335788370.796774295306894
0.6597.32565685536910.759175861421933
0.6697.49105314179810.732598839971999
0.6797.65349929744760.717855822085379
0.6897.8152073357920.713783155642595
0.6997.97800629084380.71734367530366
0.798.14306590704830.724836593169246
0.7198.31072582372420.731665209367476
0.7298.48045250637580.734094546917668
0.7398.65093622390150.728773051505003
0.7498.82033070619590.713662946993037
0.7598.98662424699690.688636577912385
0.7699.14810774035910.655497306186071
0.7799.30387083644340.618379537423589
0.7899.45421856517970.583004330620476
0.7999.60087399559570.556123177734642
0.899.74684094902450.543932589896868
0.8199.89586383675250.548976280726796
0.82100.0515401554360.568858630775549
0.83100.2162858540570.596176587917728
0.84100.390467962370.62030551265497
0.85100.5720406910740.631237754914779
0.86100.7569181193190.622194019700147
0.87100.940108314320.591937617792982
0.88101.1173803017110.545486909142655
0.89101.2869942803320.493501255795677
0.9101.4508260212840.449634470259822
0.91101.6141098598380.42623949375583
0.92101.7831974675230.425846017246285
0.93101.9615086965850.434964852223691
0.94102.1453477313220.427769309774859
0.95102.3226809709220.381696213414433
0.96102.4774174561340.294657418949686
0.97102.5977675952180.191054551782053
0.98102.6820560588580.105050711954192
0.99102.7352966282370.0519068906187741


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.10 ; par2 = 0.90 ; par3 = 0.10 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.10'
par2 <- '0.90'
par1 <- '0.10'
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')