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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 computationSun, 06 Mar 2011 20:50:22 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/06/t1299444444cuvy9oj27dzzkyh.htm/, Retrieved Sun, 12 May 2024 14:22:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119708, Retrieved Sun, 12 May 2024 14:22:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact189

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] [Inleiding kwantit...] [2011-03-06 20:50:22] [764118764852521a1756ded753a212d7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107
99
103
131
137
135
124
118
121
121
118
113
107
100
102
130
136
133
120
112
109
110

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org

\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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119708&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119708&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119708&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org






Harrell-Davis Quantiles
quantilesvaluestandard error
084NA
0.0185.26345404964083.42602207357475
0.0287.30605500344983.85344613655125
0.0389.49459923447783.7364772750721
0.0491.44564195724363.29665313456211
0.0593.06879784265332.96585618280244
0.0694.4313303467192.90159824401873
0.0795.633392152272.98928763991656
0.0896.7448218871513.07291044298528
0.0997.7936027835153.07101135689464
0.198.7798666638782.97292666753423
0.1199.69409570586532.80857426180741
0.12100.5292173120552.61883209494727
0.13101.2849964250032.43632213662459
0.14101.9672273197032.27683444603752
0.15102.5848999436792.14184973344075
0.16103.1475683947272.02581999122047
0.17103.6638632951581.92335768622953
0.18104.141121398451.83268632005585
0.19104.5856499866611.75549845514147
0.2105.0031172632261.69455177488528
0.21105.3987635940271.65139528062934
0.22105.7773701797541.62498531518495
0.23106.1430836561961.61206370280627
0.24106.4992440549551.60793927975704
0.25106.8483259285071.60866605719108
0.26107.1920279257961.61129907651333
0.27107.5314785205321.6144979529303
0.28107.8674887946181.61847634750046
0.29108.2007806205331.62430400577932
0.3108.5321405621151.63355466716368
0.31108.8624820468751.64744681337682
0.32109.1928281774481.66666524965084
0.33109.5242467431081.69087966058014
0.34109.8577743341221.71946418238302
0.35110.1943590439491.75143284816697
0.36110.53483539291.78594892019585
0.37110.8799270002291.82276465044493
0.38111.2302585141551.86171644298692
0.39111.5863531059341.90304108516879
0.4111.9485971372991.94626912113265
0.41112.3171675547421.9902669782624
0.42112.691935335382.0330606114718
0.43113.0723737202152.07156320334693
0.44113.4575074656822.10256300541727
0.45113.8459357593532.1230128785269
0.46114.2359469754162.13086131470945
0.47114.6257215647672.125757942344
0.48115.0135958064642.10918516654587
0.49115.3983402394152.08457989383588
0.5115.7793975855372.0571500326137
0.51116.1570286263472.03268148386439
0.52116.5323303958932.01708782440573
0.53116.9071157740322.01469957979862
0.54117.2836715574192.0278207048445
0.55117.6644370968882.05610826345691
0.56118.051662203232.09662908688851
0.57118.4471079272112.14487194165782
0.58118.85184645722.19535838504939
0.59119.2661988151992.24271587243427
0.6119.6898251262112.28319844968861
0.61120.1219564173142.31450097658361
0.62120.5617330419552.33704054150498
0.63121.0085956144272.35332692830333
0.64121.4626614095142.36846734912102
0.65121.9250137970692.38871640408901
0.66122.397836115112.42142149286047
0.67122.8843367078582.47290299346334
0.68123.3884406389522.54733399048935
0.69123.9142655736572.64473930627836
0.7124.4654497982252.76074029536505
0.71125.0444489810632.8860849097212
0.72125.6519503503713.00849202123744
0.73126.2865535425823.11425820037111
0.74126.9448277169183.1915768197059
0.75127.6217782443313.23238998069323
0.76128.3116621276483.23480419311229
0.77129.0090099459913.20277180013851
0.78129.7096761362163.14590653324153
0.79130.4117690408173.07762852110189
0.8131.1164013873783.01283622786707
0.81131.8283113630162.96645738857544
0.82132.5564665113362.95349626545817
0.83133.3147022856642.99019934805448
0.84134.1222194340083.09571929239386
0.85135.0034034424683.29016161994041
0.86135.9860905740773.58684054253211
0.87137.0973705713423.97893393920809
0.88138.3566194993724.42608124393058
0.89139.7669019379094.84992056681962
0.9141.3079813705255.14586006684646
0.91142.9360910831445.21294189955166
0.92144.595722309864.99869150545843
0.93146.2447402385014.54687686582161
0.94147.8842143083784.02969985927962
0.95149.5697425085033.72384900291578
0.96151.3721511693623.79473878858448
0.97153.2758565957133.92060107055995
0.98155.0736799950143.36789644621769
0.99156.400256871031.75988536875604

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0 & 84 & NA \tabularnewline
0.01 & 85.2634540496408 & 3.42602207357475 \tabularnewline
0.02 & 87.3060550034498 & 3.85344613655125 \tabularnewline
0.03 & 89.4945992344778 & 3.7364772750721 \tabularnewline
0.04 & 91.4456419572436 & 3.29665313456211 \tabularnewline
0.05 & 93.0687978426533 & 2.96585618280244 \tabularnewline
0.06 & 94.431330346719 & 2.90159824401873 \tabularnewline
0.07 & 95.63339215227 & 2.98928763991656 \tabularnewline
0.08 & 96.744821887151 & 3.07291044298528 \tabularnewline
0.09 & 97.793602783515 & 3.07101135689464 \tabularnewline
0.1 & 98.779866663878 & 2.97292666753423 \tabularnewline
0.11 & 99.6940957058653 & 2.80857426180741 \tabularnewline
0.12 & 100.529217312055 & 2.61883209494727 \tabularnewline
0.13 & 101.284996425003 & 2.43632213662459 \tabularnewline
0.14 & 101.967227319703 & 2.27683444603752 \tabularnewline
0.15 & 102.584899943679 & 2.14184973344075 \tabularnewline
0.16 & 103.147568394727 & 2.02581999122047 \tabularnewline
0.17 & 103.663863295158 & 1.92335768622953 \tabularnewline
0.18 & 104.14112139845 & 1.83268632005585 \tabularnewline
0.19 & 104.585649986661 & 1.75549845514147 \tabularnewline
0.2 & 105.003117263226 & 1.69455177488528 \tabularnewline
0.21 & 105.398763594027 & 1.65139528062934 \tabularnewline
0.22 & 105.777370179754 & 1.62498531518495 \tabularnewline
0.23 & 106.143083656196 & 1.61206370280627 \tabularnewline
0.24 & 106.499244054955 & 1.60793927975704 \tabularnewline
0.25 & 106.848325928507 & 1.60866605719108 \tabularnewline
0.26 & 107.192027925796 & 1.61129907651333 \tabularnewline
0.27 & 107.531478520532 & 1.6144979529303 \tabularnewline
0.28 & 107.867488794618 & 1.61847634750046 \tabularnewline
0.29 & 108.200780620533 & 1.62430400577932 \tabularnewline
0.3 & 108.532140562115 & 1.63355466716368 \tabularnewline
0.31 & 108.862482046875 & 1.64744681337682 \tabularnewline
0.32 & 109.192828177448 & 1.66666524965084 \tabularnewline
0.33 & 109.524246743108 & 1.69087966058014 \tabularnewline
0.34 & 109.857774334122 & 1.71946418238302 \tabularnewline
0.35 & 110.194359043949 & 1.75143284816697 \tabularnewline
0.36 & 110.5348353929 & 1.78594892019585 \tabularnewline
0.37 & 110.879927000229 & 1.82276465044493 \tabularnewline
0.38 & 111.230258514155 & 1.86171644298692 \tabularnewline
0.39 & 111.586353105934 & 1.90304108516879 \tabularnewline
0.4 & 111.948597137299 & 1.94626912113265 \tabularnewline
0.41 & 112.317167554742 & 1.9902669782624 \tabularnewline
0.42 & 112.69193533538 & 2.0330606114718 \tabularnewline
0.43 & 113.072373720215 & 2.07156320334693 \tabularnewline
0.44 & 113.457507465682 & 2.10256300541727 \tabularnewline
0.45 & 113.845935759353 & 2.1230128785269 \tabularnewline
0.46 & 114.235946975416 & 2.13086131470945 \tabularnewline
0.47 & 114.625721564767 & 2.125757942344 \tabularnewline
0.48 & 115.013595806464 & 2.10918516654587 \tabularnewline
0.49 & 115.398340239415 & 2.08457989383588 \tabularnewline
0.5 & 115.779397585537 & 2.0571500326137 \tabularnewline
0.51 & 116.157028626347 & 2.03268148386439 \tabularnewline
0.52 & 116.532330395893 & 2.01708782440573 \tabularnewline
0.53 & 116.907115774032 & 2.01469957979862 \tabularnewline
0.54 & 117.283671557419 & 2.0278207048445 \tabularnewline
0.55 & 117.664437096888 & 2.05610826345691 \tabularnewline
0.56 & 118.05166220323 & 2.09662908688851 \tabularnewline
0.57 & 118.447107927211 & 2.14487194165782 \tabularnewline
0.58 & 118.8518464572 & 2.19535838504939 \tabularnewline
0.59 & 119.266198815199 & 2.24271587243427 \tabularnewline
0.6 & 119.689825126211 & 2.28319844968861 \tabularnewline
0.61 & 120.121956417314 & 2.31450097658361 \tabularnewline
0.62 & 120.561733041955 & 2.33704054150498 \tabularnewline
0.63 & 121.008595614427 & 2.35332692830333 \tabularnewline
0.64 & 121.462661409514 & 2.36846734912102 \tabularnewline
0.65 & 121.925013797069 & 2.38871640408901 \tabularnewline
0.66 & 122.39783611511 & 2.42142149286047 \tabularnewline
0.67 & 122.884336707858 & 2.47290299346334 \tabularnewline
0.68 & 123.388440638952 & 2.54733399048935 \tabularnewline
0.69 & 123.914265573657 & 2.64473930627836 \tabularnewline
0.7 & 124.465449798225 & 2.76074029536505 \tabularnewline
0.71 & 125.044448981063 & 2.8860849097212 \tabularnewline
0.72 & 125.651950350371 & 3.00849202123744 \tabularnewline
0.73 & 126.286553542582 & 3.11425820037111 \tabularnewline
0.74 & 126.944827716918 & 3.1915768197059 \tabularnewline
0.75 & 127.621778244331 & 3.23238998069323 \tabularnewline
0.76 & 128.311662127648 & 3.23480419311229 \tabularnewline
0.77 & 129.009009945991 & 3.20277180013851 \tabularnewline
0.78 & 129.709676136216 & 3.14590653324153 \tabularnewline
0.79 & 130.411769040817 & 3.07762852110189 \tabularnewline
0.8 & 131.116401387378 & 3.01283622786707 \tabularnewline
0.81 & 131.828311363016 & 2.96645738857544 \tabularnewline
0.82 & 132.556466511336 & 2.95349626545817 \tabularnewline
0.83 & 133.314702285664 & 2.99019934805448 \tabularnewline
0.84 & 134.122219434008 & 3.09571929239386 \tabularnewline
0.85 & 135.003403442468 & 3.29016161994041 \tabularnewline
0.86 & 135.986090574077 & 3.58684054253211 \tabularnewline
0.87 & 137.097370571342 & 3.97893393920809 \tabularnewline
0.88 & 138.356619499372 & 4.42608124393058 \tabularnewline
0.89 & 139.766901937909 & 4.84992056681962 \tabularnewline
0.9 & 141.307981370525 & 5.14586006684646 \tabularnewline
0.91 & 142.936091083144 & 5.21294189955166 \tabularnewline
0.92 & 144.59572230986 & 4.99869150545843 \tabularnewline
0.93 & 146.244740238501 & 4.54687686582161 \tabularnewline
0.94 & 147.884214308378 & 4.02969985927962 \tabularnewline
0.95 & 149.569742508503 & 3.72384900291578 \tabularnewline
0.96 & 151.372151169362 & 3.79473878858448 \tabularnewline
0.97 & 153.275856595713 & 3.92060107055995 \tabularnewline
0.98 & 155.073679995014 & 3.36789644621769 \tabularnewline
0.99 & 156.40025687103 & 1.75988536875604 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119708&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[/C][C]84[/C][C]NA[/C][/ROW]
[ROW][C]0.01[/C][C]85.2634540496408[/C][C]3.42602207357475[/C][/ROW]
[ROW][C]0.02[/C][C]87.3060550034498[/C][C]3.85344613655125[/C][/ROW]
[ROW][C]0.03[/C][C]89.4945992344778[/C][C]3.7364772750721[/C][/ROW]
[ROW][C]0.04[/C][C]91.4456419572436[/C][C]3.29665313456211[/C][/ROW]
[ROW][C]0.05[/C][C]93.0687978426533[/C][C]2.96585618280244[/C][/ROW]
[ROW][C]0.06[/C][C]94.431330346719[/C][C]2.90159824401873[/C][/ROW]
[ROW][C]0.07[/C][C]95.63339215227[/C][C]2.98928763991656[/C][/ROW]
[ROW][C]0.08[/C][C]96.744821887151[/C][C]3.07291044298528[/C][/ROW]
[ROW][C]0.09[/C][C]97.793602783515[/C][C]3.07101135689464[/C][/ROW]
[ROW][C]0.1[/C][C]98.779866663878[/C][C]2.97292666753423[/C][/ROW]
[ROW][C]0.11[/C][C]99.6940957058653[/C][C]2.80857426180741[/C][/ROW]
[ROW][C]0.12[/C][C]100.529217312055[/C][C]2.61883209494727[/C][/ROW]
[ROW][C]0.13[/C][C]101.284996425003[/C][C]2.43632213662459[/C][/ROW]
[ROW][C]0.14[/C][C]101.967227319703[/C][C]2.27683444603752[/C][/ROW]
[ROW][C]0.15[/C][C]102.584899943679[/C][C]2.14184973344075[/C][/ROW]
[ROW][C]0.16[/C][C]103.147568394727[/C][C]2.02581999122047[/C][/ROW]
[ROW][C]0.17[/C][C]103.663863295158[/C][C]1.92335768622953[/C][/ROW]
[ROW][C]0.18[/C][C]104.14112139845[/C][C]1.83268632005585[/C][/ROW]
[ROW][C]0.19[/C][C]104.585649986661[/C][C]1.75549845514147[/C][/ROW]
[ROW][C]0.2[/C][C]105.003117263226[/C][C]1.69455177488528[/C][/ROW]
[ROW][C]0.21[/C][C]105.398763594027[/C][C]1.65139528062934[/C][/ROW]
[ROW][C]0.22[/C][C]105.777370179754[/C][C]1.62498531518495[/C][/ROW]
[ROW][C]0.23[/C][C]106.143083656196[/C][C]1.61206370280627[/C][/ROW]
[ROW][C]0.24[/C][C]106.499244054955[/C][C]1.60793927975704[/C][/ROW]
[ROW][C]0.25[/C][C]106.848325928507[/C][C]1.60866605719108[/C][/ROW]
[ROW][C]0.26[/C][C]107.192027925796[/C][C]1.61129907651333[/C][/ROW]
[ROW][C]0.27[/C][C]107.531478520532[/C][C]1.6144979529303[/C][/ROW]
[ROW][C]0.28[/C][C]107.867488794618[/C][C]1.61847634750046[/C][/ROW]
[ROW][C]0.29[/C][C]108.200780620533[/C][C]1.62430400577932[/C][/ROW]
[ROW][C]0.3[/C][C]108.532140562115[/C][C]1.63355466716368[/C][/ROW]
[ROW][C]0.31[/C][C]108.862482046875[/C][C]1.64744681337682[/C][/ROW]
[ROW][C]0.32[/C][C]109.192828177448[/C][C]1.66666524965084[/C][/ROW]
[ROW][C]0.33[/C][C]109.524246743108[/C][C]1.69087966058014[/C][/ROW]
[ROW][C]0.34[/C][C]109.857774334122[/C][C]1.71946418238302[/C][/ROW]
[ROW][C]0.35[/C][C]110.194359043949[/C][C]1.75143284816697[/C][/ROW]
[ROW][C]0.36[/C][C]110.5348353929[/C][C]1.78594892019585[/C][/ROW]
[ROW][C]0.37[/C][C]110.879927000229[/C][C]1.82276465044493[/C][/ROW]
[ROW][C]0.38[/C][C]111.230258514155[/C][C]1.86171644298692[/C][/ROW]
[ROW][C]0.39[/C][C]111.586353105934[/C][C]1.90304108516879[/C][/ROW]
[ROW][C]0.4[/C][C]111.948597137299[/C][C]1.94626912113265[/C][/ROW]
[ROW][C]0.41[/C][C]112.317167554742[/C][C]1.9902669782624[/C][/ROW]
[ROW][C]0.42[/C][C]112.69193533538[/C][C]2.0330606114718[/C][/ROW]
[ROW][C]0.43[/C][C]113.072373720215[/C][C]2.07156320334693[/C][/ROW]
[ROW][C]0.44[/C][C]113.457507465682[/C][C]2.10256300541727[/C][/ROW]
[ROW][C]0.45[/C][C]113.845935759353[/C][C]2.1230128785269[/C][/ROW]
[ROW][C]0.46[/C][C]114.235946975416[/C][C]2.13086131470945[/C][/ROW]
[ROW][C]0.47[/C][C]114.625721564767[/C][C]2.125757942344[/C][/ROW]
[ROW][C]0.48[/C][C]115.013595806464[/C][C]2.10918516654587[/C][/ROW]
[ROW][C]0.49[/C][C]115.398340239415[/C][C]2.08457989383588[/C][/ROW]
[ROW][C]0.5[/C][C]115.779397585537[/C][C]2.0571500326137[/C][/ROW]
[ROW][C]0.51[/C][C]116.157028626347[/C][C]2.03268148386439[/C][/ROW]
[ROW][C]0.52[/C][C]116.532330395893[/C][C]2.01708782440573[/C][/ROW]
[ROW][C]0.53[/C][C]116.907115774032[/C][C]2.01469957979862[/C][/ROW]
[ROW][C]0.54[/C][C]117.283671557419[/C][C]2.0278207048445[/C][/ROW]
[ROW][C]0.55[/C][C]117.664437096888[/C][C]2.05610826345691[/C][/ROW]
[ROW][C]0.56[/C][C]118.05166220323[/C][C]2.09662908688851[/C][/ROW]
[ROW][C]0.57[/C][C]118.447107927211[/C][C]2.14487194165782[/C][/ROW]
[ROW][C]0.58[/C][C]118.8518464572[/C][C]2.19535838504939[/C][/ROW]
[ROW][C]0.59[/C][C]119.266198815199[/C][C]2.24271587243427[/C][/ROW]
[ROW][C]0.6[/C][C]119.689825126211[/C][C]2.28319844968861[/C][/ROW]
[ROW][C]0.61[/C][C]120.121956417314[/C][C]2.31450097658361[/C][/ROW]
[ROW][C]0.62[/C][C]120.561733041955[/C][C]2.33704054150498[/C][/ROW]
[ROW][C]0.63[/C][C]121.008595614427[/C][C]2.35332692830333[/C][/ROW]
[ROW][C]0.64[/C][C]121.462661409514[/C][C]2.36846734912102[/C][/ROW]
[ROW][C]0.65[/C][C]121.925013797069[/C][C]2.38871640408901[/C][/ROW]
[ROW][C]0.66[/C][C]122.39783611511[/C][C]2.42142149286047[/C][/ROW]
[ROW][C]0.67[/C][C]122.884336707858[/C][C]2.47290299346334[/C][/ROW]
[ROW][C]0.68[/C][C]123.388440638952[/C][C]2.54733399048935[/C][/ROW]
[ROW][C]0.69[/C][C]123.914265573657[/C][C]2.64473930627836[/C][/ROW]
[ROW][C]0.7[/C][C]124.465449798225[/C][C]2.76074029536505[/C][/ROW]
[ROW][C]0.71[/C][C]125.044448981063[/C][C]2.8860849097212[/C][/ROW]
[ROW][C]0.72[/C][C]125.651950350371[/C][C]3.00849202123744[/C][/ROW]
[ROW][C]0.73[/C][C]126.286553542582[/C][C]3.11425820037111[/C][/ROW]
[ROW][C]0.74[/C][C]126.944827716918[/C][C]3.1915768197059[/C][/ROW]
[ROW][C]0.75[/C][C]127.621778244331[/C][C]3.23238998069323[/C][/ROW]
[ROW][C]0.76[/C][C]128.311662127648[/C][C]3.23480419311229[/C][/ROW]
[ROW][C]0.77[/C][C]129.009009945991[/C][C]3.20277180013851[/C][/ROW]
[ROW][C]0.78[/C][C]129.709676136216[/C][C]3.14590653324153[/C][/ROW]
[ROW][C]0.79[/C][C]130.411769040817[/C][C]3.07762852110189[/C][/ROW]
[ROW][C]0.8[/C][C]131.116401387378[/C][C]3.01283622786707[/C][/ROW]
[ROW][C]0.81[/C][C]131.828311363016[/C][C]2.96645738857544[/C][/ROW]
[ROW][C]0.82[/C][C]132.556466511336[/C][C]2.95349626545817[/C][/ROW]
[ROW][C]0.83[/C][C]133.314702285664[/C][C]2.99019934805448[/C][/ROW]
[ROW][C]0.84[/C][C]134.122219434008[/C][C]3.09571929239386[/C][/ROW]
[ROW][C]0.85[/C][C]135.003403442468[/C][C]3.29016161994041[/C][/ROW]
[ROW][C]0.86[/C][C]135.986090574077[/C][C]3.58684054253211[/C][/ROW]
[ROW][C]0.87[/C][C]137.097370571342[/C][C]3.97893393920809[/C][/ROW]
[ROW][C]0.88[/C][C]138.356619499372[/C][C]4.42608124393058[/C][/ROW]
[ROW][C]0.89[/C][C]139.766901937909[/C][C]4.84992056681962[/C][/ROW]
[ROW][C]0.9[/C][C]141.307981370525[/C][C]5.14586006684646[/C][/ROW]
[ROW][C]0.91[/C][C]142.936091083144[/C][C]5.21294189955166[/C][/ROW]
[ROW][C]0.92[/C][C]144.59572230986[/C][C]4.99869150545843[/C][/ROW]
[ROW][C]0.93[/C][C]146.244740238501[/C][C]4.54687686582161[/C][/ROW]
[ROW][C]0.94[/C][C]147.884214308378[/C][C]4.02969985927962[/C][/ROW]
[ROW][C]0.95[/C][C]149.569742508503[/C][C]3.72384900291578[/C][/ROW]
[ROW][C]0.96[/C][C]151.372151169362[/C][C]3.79473878858448[/C][/ROW]
[ROW][C]0.97[/C][C]153.275856595713[/C][C]3.92060107055995[/C][/ROW]
[ROW][C]0.98[/C][C]155.073679995014[/C][C]3.36789644621769[/C][/ROW]
[ROW][C]0.99[/C][C]156.40025687103[/C][C]1.75988536875604[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119708&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119708&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
084NA
0.0185.26345404964083.42602207357475
0.0287.30605500344983.85344613655125
0.0389.49459923447783.7364772750721
0.0491.44564195724363.29665313456211
0.0593.06879784265332.96585618280244
0.0694.4313303467192.90159824401873
0.0795.633392152272.98928763991656
0.0896.7448218871513.07291044298528
0.0997.7936027835153.07101135689464
0.198.7798666638782.97292666753423
0.1199.69409570586532.80857426180741
0.12100.5292173120552.61883209494727
0.13101.2849964250032.43632213662459
0.14101.9672273197032.27683444603752
0.15102.5848999436792.14184973344075
0.16103.1475683947272.02581999122047
0.17103.6638632951581.92335768622953
0.18104.141121398451.83268632005585
0.19104.5856499866611.75549845514147
0.2105.0031172632261.69455177488528
0.21105.3987635940271.65139528062934
0.22105.7773701797541.62498531518495
0.23106.1430836561961.61206370280627
0.24106.4992440549551.60793927975704
0.25106.8483259285071.60866605719108
0.26107.1920279257961.61129907651333
0.27107.5314785205321.6144979529303
0.28107.8674887946181.61847634750046
0.29108.2007806205331.62430400577932
0.3108.5321405621151.63355466716368
0.31108.8624820468751.64744681337682
0.32109.1928281774481.66666524965084
0.33109.5242467431081.69087966058014
0.34109.8577743341221.71946418238302
0.35110.1943590439491.75143284816697
0.36110.53483539291.78594892019585
0.37110.8799270002291.82276465044493
0.38111.2302585141551.86171644298692
0.39111.5863531059341.90304108516879
0.4111.9485971372991.94626912113265
0.41112.3171675547421.9902669782624
0.42112.691935335382.0330606114718
0.43113.0723737202152.07156320334693
0.44113.4575074656822.10256300541727
0.45113.8459357593532.1230128785269
0.46114.2359469754162.13086131470945
0.47114.6257215647672.125757942344
0.48115.0135958064642.10918516654587
0.49115.3983402394152.08457989383588
0.5115.7793975855372.0571500326137
0.51116.1570286263472.03268148386439
0.52116.5323303958932.01708782440573
0.53116.9071157740322.01469957979862
0.54117.2836715574192.0278207048445
0.55117.6644370968882.05610826345691
0.56118.051662203232.09662908688851
0.57118.4471079272112.14487194165782
0.58118.85184645722.19535838504939
0.59119.2661988151992.24271587243427
0.6119.6898251262112.28319844968861
0.61120.1219564173142.31450097658361
0.62120.5617330419552.33704054150498
0.63121.0085956144272.35332692830333
0.64121.4626614095142.36846734912102
0.65121.9250137970692.38871640408901
0.66122.397836115112.42142149286047
0.67122.8843367078582.47290299346334
0.68123.3884406389522.54733399048935
0.69123.9142655736572.64473930627836
0.7124.4654497982252.76074029536505
0.71125.0444489810632.8860849097212
0.72125.6519503503713.00849202123744
0.73126.2865535425823.11425820037111
0.74126.9448277169183.1915768197059
0.75127.6217782443313.23238998069323
0.76128.3116621276483.23480419311229
0.77129.0090099459913.20277180013851
0.78129.7096761362163.14590653324153
0.79130.4117690408173.07762852110189
0.8131.1164013873783.01283622786707
0.81131.8283113630162.96645738857544
0.82132.5564665113362.95349626545817
0.83133.3147022856642.99019934805448
0.84134.1222194340083.09571929239386
0.85135.0034034424683.29016161994041
0.86135.9860905740773.58684054253211
0.87137.0973705713423.97893393920809
0.88138.3566194993724.42608124393058
0.89139.7669019379094.84992056681962
0.9141.3079813705255.14586006684646
0.91142.9360910831445.21294189955166
0.92144.595722309864.99869150545843
0.93146.2447402385014.54687686582161
0.94147.8842143083784.02969985927962
0.95149.5697425085033.72384900291578
0.96151.3721511693623.79473878858448
0.97153.2758565957133.92060107055995
0.98155.0736799950143.36789644621769
0.99156.400256871031.75988536875604


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.00 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.00 ; 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')