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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 computationFri, 28 Apr 2017 12:02:30 +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/2017/Apr/28/t1493379907djfhuuhl1x23qk6.htm/, Retrieved Fri, 10 May 2024 18:07:42 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 10 May 2024 18:07:42 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89.88
89.88
89.91
90.21
91.46
91.51
91.55
91.56
91.58
91.60
91.61
91.62
91.62
91.62
91.62
91.63
92.01
92.43
92.59
92.67
92.79
92.79
92.84
92.86
92.86
92.91
92.94
93.49
95.31
96.07
96.35
96.66
97.31
97.66
97.75
97.76
97.79
97.93
97.95
98.05
99.01
99.32
99.55
100.56
101.88
102.30
102.79
102.80
102.87
103.57
105.61
107.25
107.61
107.85
107.93
107.98
108.10
108.26
108.32
108.32
108.36
109.07
110.86
112.49
112.83
112.98
113.03
113.34
113.38
113.51
113.68
113.69

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 5 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time5 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0189.90065667309370.0699898383870469
0.0289.96777995417260.222109902474431
0.0390.1003233623950.415393279216387
0.0490.29692521062050.579324049009093
0.0590.53537913034750.658995236030311
0.0690.78292964685170.641405962576295
0.0791.00940083853770.550848085674519
0.0891.19589393803230.427108806828022
0.0991.33663071979370.305356675492328
0.191.43578960299960.206402149502045
0.1191.5026512157350.137246561800662
0.1291.54755419765640.0968020319918074
0.1391.57961075233930.0815042497667693
0.1491.60597307394240.0868955040757009
0.1591.63198937541150.108212675938394
0.1691.66164199468540.141805641944092
0.1791.69791009080670.184865392099109
0.1891.74293873925810.234963025970167
0.1991.79804765928870.28840832539625
0.291.8636770658220.341012907310997
0.2191.93937199108230.388719309636721
0.2292.02387640839080.427893543302909
0.2392.1153643866870.45656103387119
0.2492.21179136987220.474561240026869
0.2592.31131429212850.484187934209389
0.2692.41271025787080.490087149528764
0.2792.51572126716960.498642550250938
0.2892.6212645415180.517501452238127
0.2992.73146972559540.554502939161284
0.392.84953046376370.615173193138482
0.3192.97938428197950.702078750656524
0.3293.12525833234710.814197148090691
0.3393.29113730858090.947194503775048
0.3493.48022200392991.09396694366476
0.3593.69445091171731.2458377598729
0.3693.9341516478541.39267298493983
0.3794.19787351534921.52427717777841
0.3894.48242866499991.63164634405285
0.3994.78314042009361.70761843774059
0.495.09426828203931.74782240131629
0.4195.40955513141791.75115367252724
0.4295.72282739949461.71984009240823
0.4396.02857562824511.65940783250734
0.4496.32245044392691.57738984401023
0.4596.60162491896491.48321420316991
0.4696.86499470434581.38703776306029
0.4797.11320819629861.29900531166881
0.4897.3485372581051.22878056647719
0.4997.57461295507791.18390874836202
0.597.79606006616231.17009052857076
0.5198.01806944420111.18930716379246
0.5298.24594956941261.24026995751787
0.5398.48469859727741.31885311917598
0.5498.73863598172921.4186860783006
0.5599.01112787488581.53247679494581
0.5699.30443211657851.6527917682944
0.5799.61967600012961.77281184943624
0.5899.95696312898161.88696944627841
0.59100.3155858474871.99156651819193
0.6100.6942998361492.08448732673707
0.61101.0916018646782.16610982356409
0.62101.5059454274182.237783868129
0.63101.9358363488652.30145452718301
0.64102.3797732828362.35826033587724
0.65102.8360342057522.40769356002801
0.66103.3023528229252.44659378649346
0.67103.7755678823482.4691301000555
0.68104.2513521407632.46788807770122
0.69104.7241269506022.43517326878178
0.7105.1872398593872.36494291133469
0.71105.6334309858752.25422441937484
0.72106.0555515332222.10464674267707
0.73106.4474409979751.92277126643227
0.74106.804833443881.7195299319103
0.75107.1261556619641.50948426700003
0.76107.4130988300291.30949641632954
0.77107.6708785871061.13737835435461
0.78107.9081303423891.01109719757262
0.79108.1364056835240.946975533917126
0.8108.3692430426910.955655143194597
0.81108.6207981975921.03639404582664
0.82108.9040648941431.17545316701186
0.83109.2288153825381.34991225407891
0.84109.5995425677031.53041547152774
0.85110.0138466565141.68484260242256
0.86110.4617969902051.78209168370822
0.87110.9267198391231.79779482436107
0.88111.3875614387031.72102786436914
0.89111.8224950417421.55754015244586
0.9112.212943535581.32949974339901
0.91112.5469117100411.07030271328362
0.92112.8206544102550.815800098547466
0.93113.0382459816720.595139841637825
0.94113.2093054699410.424596590261779
0.95113.3455952764580.306241198240373
0.96113.4572895928780.229877845933221
0.97113.5497372063930.175900165820186
0.98113.6220507575210.12181609017713
0.99113.669457741130.0586982356691427

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 89.9006566730937 & 0.0699898383870469 \tabularnewline
0.02 & 89.9677799541726 & 0.222109902474431 \tabularnewline
0.03 & 90.100323362395 & 0.415393279216387 \tabularnewline
0.04 & 90.2969252106205 & 0.579324049009093 \tabularnewline
0.05 & 90.5353791303475 & 0.658995236030311 \tabularnewline
0.06 & 90.7829296468517 & 0.641405962576295 \tabularnewline
0.07 & 91.0094008385377 & 0.550848085674519 \tabularnewline
0.08 & 91.1958939380323 & 0.427108806828022 \tabularnewline
0.09 & 91.3366307197937 & 0.305356675492328 \tabularnewline
0.1 & 91.4357896029996 & 0.206402149502045 \tabularnewline
0.11 & 91.502651215735 & 0.137246561800662 \tabularnewline
0.12 & 91.5475541976564 & 0.0968020319918074 \tabularnewline
0.13 & 91.5796107523393 & 0.0815042497667693 \tabularnewline
0.14 & 91.6059730739424 & 0.0868955040757009 \tabularnewline
0.15 & 91.6319893754115 & 0.108212675938394 \tabularnewline
0.16 & 91.6616419946854 & 0.141805641944092 \tabularnewline
0.17 & 91.6979100908067 & 0.184865392099109 \tabularnewline
0.18 & 91.7429387392581 & 0.234963025970167 \tabularnewline
0.19 & 91.7980476592887 & 0.28840832539625 \tabularnewline
0.2 & 91.863677065822 & 0.341012907310997 \tabularnewline
0.21 & 91.9393719910823 & 0.388719309636721 \tabularnewline
0.22 & 92.0238764083908 & 0.427893543302909 \tabularnewline
0.23 & 92.115364386687 & 0.45656103387119 \tabularnewline
0.24 & 92.2117913698722 & 0.474561240026869 \tabularnewline
0.25 & 92.3113142921285 & 0.484187934209389 \tabularnewline
0.26 & 92.4127102578708 & 0.490087149528764 \tabularnewline
0.27 & 92.5157212671696 & 0.498642550250938 \tabularnewline
0.28 & 92.621264541518 & 0.517501452238127 \tabularnewline
0.29 & 92.7314697255954 & 0.554502939161284 \tabularnewline
0.3 & 92.8495304637637 & 0.615173193138482 \tabularnewline
0.31 & 92.9793842819795 & 0.702078750656524 \tabularnewline
0.32 & 93.1252583323471 & 0.814197148090691 \tabularnewline
0.33 & 93.2911373085809 & 0.947194503775048 \tabularnewline
0.34 & 93.4802220039299 & 1.09396694366476 \tabularnewline
0.35 & 93.6944509117173 & 1.2458377598729 \tabularnewline
0.36 & 93.934151647854 & 1.39267298493983 \tabularnewline
0.37 & 94.1978735153492 & 1.52427717777841 \tabularnewline
0.38 & 94.4824286649999 & 1.63164634405285 \tabularnewline
0.39 & 94.7831404200936 & 1.70761843774059 \tabularnewline
0.4 & 95.0942682820393 & 1.74782240131629 \tabularnewline
0.41 & 95.4095551314179 & 1.75115367252724 \tabularnewline
0.42 & 95.7228273994946 & 1.71984009240823 \tabularnewline
0.43 & 96.0285756282451 & 1.65940783250734 \tabularnewline
0.44 & 96.3224504439269 & 1.57738984401023 \tabularnewline
0.45 & 96.6016249189649 & 1.48321420316991 \tabularnewline
0.46 & 96.8649947043458 & 1.38703776306029 \tabularnewline
0.47 & 97.1132081962986 & 1.29900531166881 \tabularnewline
0.48 & 97.348537258105 & 1.22878056647719 \tabularnewline
0.49 & 97.5746129550779 & 1.18390874836202 \tabularnewline
0.5 & 97.7960600661623 & 1.17009052857076 \tabularnewline
0.51 & 98.0180694442011 & 1.18930716379246 \tabularnewline
0.52 & 98.2459495694126 & 1.24026995751787 \tabularnewline
0.53 & 98.4846985972774 & 1.31885311917598 \tabularnewline
0.54 & 98.7386359817292 & 1.4186860783006 \tabularnewline
0.55 & 99.0111278748858 & 1.53247679494581 \tabularnewline
0.56 & 99.3044321165785 & 1.6527917682944 \tabularnewline
0.57 & 99.6196760001296 & 1.77281184943624 \tabularnewline
0.58 & 99.9569631289816 & 1.88696944627841 \tabularnewline
0.59 & 100.315585847487 & 1.99156651819193 \tabularnewline
0.6 & 100.694299836149 & 2.08448732673707 \tabularnewline
0.61 & 101.091601864678 & 2.16610982356409 \tabularnewline
0.62 & 101.505945427418 & 2.237783868129 \tabularnewline
0.63 & 101.935836348865 & 2.30145452718301 \tabularnewline
0.64 & 102.379773282836 & 2.35826033587724 \tabularnewline
0.65 & 102.836034205752 & 2.40769356002801 \tabularnewline
0.66 & 103.302352822925 & 2.44659378649346 \tabularnewline
0.67 & 103.775567882348 & 2.4691301000555 \tabularnewline
0.68 & 104.251352140763 & 2.46788807770122 \tabularnewline
0.69 & 104.724126950602 & 2.43517326878178 \tabularnewline
0.7 & 105.187239859387 & 2.36494291133469 \tabularnewline
0.71 & 105.633430985875 & 2.25422441937484 \tabularnewline
0.72 & 106.055551533222 & 2.10464674267707 \tabularnewline
0.73 & 106.447440997975 & 1.92277126643227 \tabularnewline
0.74 & 106.80483344388 & 1.7195299319103 \tabularnewline
0.75 & 107.126155661964 & 1.50948426700003 \tabularnewline
0.76 & 107.413098830029 & 1.30949641632954 \tabularnewline
0.77 & 107.670878587106 & 1.13737835435461 \tabularnewline
0.78 & 107.908130342389 & 1.01109719757262 \tabularnewline
0.79 & 108.136405683524 & 0.946975533917126 \tabularnewline
0.8 & 108.369243042691 & 0.955655143194597 \tabularnewline
0.81 & 108.620798197592 & 1.03639404582664 \tabularnewline
0.82 & 108.904064894143 & 1.17545316701186 \tabularnewline
0.83 & 109.228815382538 & 1.34991225407891 \tabularnewline
0.84 & 109.599542567703 & 1.53041547152774 \tabularnewline
0.85 & 110.013846656514 & 1.68484260242256 \tabularnewline
0.86 & 110.461796990205 & 1.78209168370822 \tabularnewline
0.87 & 110.926719839123 & 1.79779482436107 \tabularnewline
0.88 & 111.387561438703 & 1.72102786436914 \tabularnewline
0.89 & 111.822495041742 & 1.55754015244586 \tabularnewline
0.9 & 112.21294353558 & 1.32949974339901 \tabularnewline
0.91 & 112.546911710041 & 1.07030271328362 \tabularnewline
0.92 & 112.820654410255 & 0.815800098547466 \tabularnewline
0.93 & 113.038245981672 & 0.595139841637825 \tabularnewline
0.94 & 113.209305469941 & 0.424596590261779 \tabularnewline
0.95 & 113.345595276458 & 0.306241198240373 \tabularnewline
0.96 & 113.457289592878 & 0.229877845933221 \tabularnewline
0.97 & 113.549737206393 & 0.175900165820186 \tabularnewline
0.98 & 113.622050757521 & 0.12181609017713 \tabularnewline
0.99 & 113.66945774113 & 0.0586982356691427 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]89.9006566730937[/C][C]0.0699898383870469[/C][/ROW]
[ROW][C]0.02[/C][C]89.9677799541726[/C][C]0.222109902474431[/C][/ROW]
[ROW][C]0.03[/C][C]90.100323362395[/C][C]0.415393279216387[/C][/ROW]
[ROW][C]0.04[/C][C]90.2969252106205[/C][C]0.579324049009093[/C][/ROW]
[ROW][C]0.05[/C][C]90.5353791303475[/C][C]0.658995236030311[/C][/ROW]
[ROW][C]0.06[/C][C]90.7829296468517[/C][C]0.641405962576295[/C][/ROW]
[ROW][C]0.07[/C][C]91.0094008385377[/C][C]0.550848085674519[/C][/ROW]
[ROW][C]0.08[/C][C]91.1958939380323[/C][C]0.427108806828022[/C][/ROW]
[ROW][C]0.09[/C][C]91.3366307197937[/C][C]0.305356675492328[/C][/ROW]
[ROW][C]0.1[/C][C]91.4357896029996[/C][C]0.206402149502045[/C][/ROW]
[ROW][C]0.11[/C][C]91.502651215735[/C][C]0.137246561800662[/C][/ROW]
[ROW][C]0.12[/C][C]91.5475541976564[/C][C]0.0968020319918074[/C][/ROW]
[ROW][C]0.13[/C][C]91.5796107523393[/C][C]0.0815042497667693[/C][/ROW]
[ROW][C]0.14[/C][C]91.6059730739424[/C][C]0.0868955040757009[/C][/ROW]
[ROW][C]0.15[/C][C]91.6319893754115[/C][C]0.108212675938394[/C][/ROW]
[ROW][C]0.16[/C][C]91.6616419946854[/C][C]0.141805641944092[/C][/ROW]
[ROW][C]0.17[/C][C]91.6979100908067[/C][C]0.184865392099109[/C][/ROW]
[ROW][C]0.18[/C][C]91.7429387392581[/C][C]0.234963025970167[/C][/ROW]
[ROW][C]0.19[/C][C]91.7980476592887[/C][C]0.28840832539625[/C][/ROW]
[ROW][C]0.2[/C][C]91.863677065822[/C][C]0.341012907310997[/C][/ROW]
[ROW][C]0.21[/C][C]91.9393719910823[/C][C]0.388719309636721[/C][/ROW]
[ROW][C]0.22[/C][C]92.0238764083908[/C][C]0.427893543302909[/C][/ROW]
[ROW][C]0.23[/C][C]92.115364386687[/C][C]0.45656103387119[/C][/ROW]
[ROW][C]0.24[/C][C]92.2117913698722[/C][C]0.474561240026869[/C][/ROW]
[ROW][C]0.25[/C][C]92.3113142921285[/C][C]0.484187934209389[/C][/ROW]
[ROW][C]0.26[/C][C]92.4127102578708[/C][C]0.490087149528764[/C][/ROW]
[ROW][C]0.27[/C][C]92.5157212671696[/C][C]0.498642550250938[/C][/ROW]
[ROW][C]0.28[/C][C]92.621264541518[/C][C]0.517501452238127[/C][/ROW]
[ROW][C]0.29[/C][C]92.7314697255954[/C][C]0.554502939161284[/C][/ROW]
[ROW][C]0.3[/C][C]92.8495304637637[/C][C]0.615173193138482[/C][/ROW]
[ROW][C]0.31[/C][C]92.9793842819795[/C][C]0.702078750656524[/C][/ROW]
[ROW][C]0.32[/C][C]93.1252583323471[/C][C]0.814197148090691[/C][/ROW]
[ROW][C]0.33[/C][C]93.2911373085809[/C][C]0.947194503775048[/C][/ROW]
[ROW][C]0.34[/C][C]93.4802220039299[/C][C]1.09396694366476[/C][/ROW]
[ROW][C]0.35[/C][C]93.6944509117173[/C][C]1.2458377598729[/C][/ROW]
[ROW][C]0.36[/C][C]93.934151647854[/C][C]1.39267298493983[/C][/ROW]
[ROW][C]0.37[/C][C]94.1978735153492[/C][C]1.52427717777841[/C][/ROW]
[ROW][C]0.38[/C][C]94.4824286649999[/C][C]1.63164634405285[/C][/ROW]
[ROW][C]0.39[/C][C]94.7831404200936[/C][C]1.70761843774059[/C][/ROW]
[ROW][C]0.4[/C][C]95.0942682820393[/C][C]1.74782240131629[/C][/ROW]
[ROW][C]0.41[/C][C]95.4095551314179[/C][C]1.75115367252724[/C][/ROW]
[ROW][C]0.42[/C][C]95.7228273994946[/C][C]1.71984009240823[/C][/ROW]
[ROW][C]0.43[/C][C]96.0285756282451[/C][C]1.65940783250734[/C][/ROW]
[ROW][C]0.44[/C][C]96.3224504439269[/C][C]1.57738984401023[/C][/ROW]
[ROW][C]0.45[/C][C]96.6016249189649[/C][C]1.48321420316991[/C][/ROW]
[ROW][C]0.46[/C][C]96.8649947043458[/C][C]1.38703776306029[/C][/ROW]
[ROW][C]0.47[/C][C]97.1132081962986[/C][C]1.29900531166881[/C][/ROW]
[ROW][C]0.48[/C][C]97.348537258105[/C][C]1.22878056647719[/C][/ROW]
[ROW][C]0.49[/C][C]97.5746129550779[/C][C]1.18390874836202[/C][/ROW]
[ROW][C]0.5[/C][C]97.7960600661623[/C][C]1.17009052857076[/C][/ROW]
[ROW][C]0.51[/C][C]98.0180694442011[/C][C]1.18930716379246[/C][/ROW]
[ROW][C]0.52[/C][C]98.2459495694126[/C][C]1.24026995751787[/C][/ROW]
[ROW][C]0.53[/C][C]98.4846985972774[/C][C]1.31885311917598[/C][/ROW]
[ROW][C]0.54[/C][C]98.7386359817292[/C][C]1.4186860783006[/C][/ROW]
[ROW][C]0.55[/C][C]99.0111278748858[/C][C]1.53247679494581[/C][/ROW]
[ROW][C]0.56[/C][C]99.3044321165785[/C][C]1.6527917682944[/C][/ROW]
[ROW][C]0.57[/C][C]99.6196760001296[/C][C]1.77281184943624[/C][/ROW]
[ROW][C]0.58[/C][C]99.9569631289816[/C][C]1.88696944627841[/C][/ROW]
[ROW][C]0.59[/C][C]100.315585847487[/C][C]1.99156651819193[/C][/ROW]
[ROW][C]0.6[/C][C]100.694299836149[/C][C]2.08448732673707[/C][/ROW]
[ROW][C]0.61[/C][C]101.091601864678[/C][C]2.16610982356409[/C][/ROW]
[ROW][C]0.62[/C][C]101.505945427418[/C][C]2.237783868129[/C][/ROW]
[ROW][C]0.63[/C][C]101.935836348865[/C][C]2.30145452718301[/C][/ROW]
[ROW][C]0.64[/C][C]102.379773282836[/C][C]2.35826033587724[/C][/ROW]
[ROW][C]0.65[/C][C]102.836034205752[/C][C]2.40769356002801[/C][/ROW]
[ROW][C]0.66[/C][C]103.302352822925[/C][C]2.44659378649346[/C][/ROW]
[ROW][C]0.67[/C][C]103.775567882348[/C][C]2.4691301000555[/C][/ROW]
[ROW][C]0.68[/C][C]104.251352140763[/C][C]2.46788807770122[/C][/ROW]
[ROW][C]0.69[/C][C]104.724126950602[/C][C]2.43517326878178[/C][/ROW]
[ROW][C]0.7[/C][C]105.187239859387[/C][C]2.36494291133469[/C][/ROW]
[ROW][C]0.71[/C][C]105.633430985875[/C][C]2.25422441937484[/C][/ROW]
[ROW][C]0.72[/C][C]106.055551533222[/C][C]2.10464674267707[/C][/ROW]
[ROW][C]0.73[/C][C]106.447440997975[/C][C]1.92277126643227[/C][/ROW]
[ROW][C]0.74[/C][C]106.80483344388[/C][C]1.7195299319103[/C][/ROW]
[ROW][C]0.75[/C][C]107.126155661964[/C][C]1.50948426700003[/C][/ROW]
[ROW][C]0.76[/C][C]107.413098830029[/C][C]1.30949641632954[/C][/ROW]
[ROW][C]0.77[/C][C]107.670878587106[/C][C]1.13737835435461[/C][/ROW]
[ROW][C]0.78[/C][C]107.908130342389[/C][C]1.01109719757262[/C][/ROW]
[ROW][C]0.79[/C][C]108.136405683524[/C][C]0.946975533917126[/C][/ROW]
[ROW][C]0.8[/C][C]108.369243042691[/C][C]0.955655143194597[/C][/ROW]
[ROW][C]0.81[/C][C]108.620798197592[/C][C]1.03639404582664[/C][/ROW]
[ROW][C]0.82[/C][C]108.904064894143[/C][C]1.17545316701186[/C][/ROW]
[ROW][C]0.83[/C][C]109.228815382538[/C][C]1.34991225407891[/C][/ROW]
[ROW][C]0.84[/C][C]109.599542567703[/C][C]1.53041547152774[/C][/ROW]
[ROW][C]0.85[/C][C]110.013846656514[/C][C]1.68484260242256[/C][/ROW]
[ROW][C]0.86[/C][C]110.461796990205[/C][C]1.78209168370822[/C][/ROW]
[ROW][C]0.87[/C][C]110.926719839123[/C][C]1.79779482436107[/C][/ROW]
[ROW][C]0.88[/C][C]111.387561438703[/C][C]1.72102786436914[/C][/ROW]
[ROW][C]0.89[/C][C]111.822495041742[/C][C]1.55754015244586[/C][/ROW]
[ROW][C]0.9[/C][C]112.21294353558[/C][C]1.32949974339901[/C][/ROW]
[ROW][C]0.91[/C][C]112.546911710041[/C][C]1.07030271328362[/C][/ROW]
[ROW][C]0.92[/C][C]112.820654410255[/C][C]0.815800098547466[/C][/ROW]
[ROW][C]0.93[/C][C]113.038245981672[/C][C]0.595139841637825[/C][/ROW]
[ROW][C]0.94[/C][C]113.209305469941[/C][C]0.424596590261779[/C][/ROW]
[ROW][C]0.95[/C][C]113.345595276458[/C][C]0.306241198240373[/C][/ROW]
[ROW][C]0.96[/C][C]113.457289592878[/C][C]0.229877845933221[/C][/ROW]
[ROW][C]0.97[/C][C]113.549737206393[/C][C]0.175900165820186[/C][/ROW]
[ROW][C]0.98[/C][C]113.622050757521[/C][C]0.12181609017713[/C][/ROW]
[ROW][C]0.99[/C][C]113.66945774113[/C][C]0.0586982356691427[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0189.90065667309370.0699898383870469
0.0289.96777995417260.222109902474431
0.0390.1003233623950.415393279216387
0.0490.29692521062050.579324049009093
0.0590.53537913034750.658995236030311
0.0690.78292964685170.641405962576295
0.0791.00940083853770.550848085674519
0.0891.19589393803230.427108806828022
0.0991.33663071979370.305356675492328
0.191.43578960299960.206402149502045
0.1191.5026512157350.137246561800662
0.1291.54755419765640.0968020319918074
0.1391.57961075233930.0815042497667693
0.1491.60597307394240.0868955040757009
0.1591.63198937541150.108212675938394
0.1691.66164199468540.141805641944092
0.1791.69791009080670.184865392099109
0.1891.74293873925810.234963025970167
0.1991.79804765928870.28840832539625
0.291.8636770658220.341012907310997
0.2191.93937199108230.388719309636721
0.2292.02387640839080.427893543302909
0.2392.1153643866870.45656103387119
0.2492.21179136987220.474561240026869
0.2592.31131429212850.484187934209389
0.2692.41271025787080.490087149528764
0.2792.51572126716960.498642550250938
0.2892.6212645415180.517501452238127
0.2992.73146972559540.554502939161284
0.392.84953046376370.615173193138482
0.3192.97938428197950.702078750656524
0.3293.12525833234710.814197148090691
0.3393.29113730858090.947194503775048
0.3493.48022200392991.09396694366476
0.3593.69445091171731.2458377598729
0.3693.9341516478541.39267298493983
0.3794.19787351534921.52427717777841
0.3894.48242866499991.63164634405285
0.3994.78314042009361.70761843774059
0.495.09426828203931.74782240131629
0.4195.40955513141791.75115367252724
0.4295.72282739949461.71984009240823
0.4396.02857562824511.65940783250734
0.4496.32245044392691.57738984401023
0.4596.60162491896491.48321420316991
0.4696.86499470434581.38703776306029
0.4797.11320819629861.29900531166881
0.4897.3485372581051.22878056647719
0.4997.57461295507791.18390874836202
0.597.79606006616231.17009052857076
0.5198.01806944420111.18930716379246
0.5298.24594956941261.24026995751787
0.5398.48469859727741.31885311917598
0.5498.73863598172921.4186860783006
0.5599.01112787488581.53247679494581
0.5699.30443211657851.6527917682944
0.5799.61967600012961.77281184943624
0.5899.95696312898161.88696944627841
0.59100.3155858474871.99156651819193
0.6100.6942998361492.08448732673707
0.61101.0916018646782.16610982356409
0.62101.5059454274182.237783868129
0.63101.9358363488652.30145452718301
0.64102.3797732828362.35826033587724
0.65102.8360342057522.40769356002801
0.66103.3023528229252.44659378649346
0.67103.7755678823482.4691301000555
0.68104.2513521407632.46788807770122
0.69104.7241269506022.43517326878178
0.7105.1872398593872.36494291133469
0.71105.6334309858752.25422441937484
0.72106.0555515332222.10464674267707
0.73106.4474409979751.92277126643227
0.74106.804833443881.7195299319103
0.75107.1261556619641.50948426700003
0.76107.4130988300291.30949641632954
0.77107.6708785871061.13737835435461
0.78107.9081303423891.01109719757262
0.79108.1364056835240.946975533917126
0.8108.3692430426910.955655143194597
0.81108.6207981975921.03639404582664
0.82108.9040648941431.17545316701186
0.83109.2288153825381.34991225407891
0.84109.5995425677031.53041547152774
0.85110.0138466565141.68484260242256
0.86110.4617969902051.78209168370822
0.87110.9267198391231.79779482436107
0.88111.3875614387031.72102786436914
0.89111.8224950417421.55754015244586
0.9112.212943535581.32949974339901
0.91112.5469117100411.07030271328362
0.92112.8206544102550.815800098547466
0.93113.0382459816720.595139841637825
0.94113.2093054699410.424596590261779
0.95113.3455952764580.306241198240373
0.96113.4572895928780.229877845933221
0.97113.5497372063930.175900165820186
0.98113.6220507575210.12181609017713
0.99113.669457741130.0586982356691427


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')