FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 05 Oct 2016 10:30:12 +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/2016/Oct/05/t1475659846lmbh1x4i7pxih3p.htm/, Retrieved Sun, 05 May 2024 20:50:38 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 20:50:38 +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 
103.1
95.2
110.2
105.3
107.4
108.1
108
98.8
104.2
107.8
103.5
129.6
100.1
96
111.4
108.3
103.6
106.8
102.5
101
105.5
105.1
103.9
126.4
101
99.3
113.5
99.1
108.2
109.2
100.1
105.5
103
105.8
106.1
122.2
101.9
94.5
112.1
97.6
110
104.6
102.1
106
98.5
106.2
106
120.9
105.1
102.4
94.2
105.6
102.9
111.4
105.4
104.6
103.6
102.1
109.3
103.9
125.3
105.9
106.2
96.2
105.5
104.7
111
109.2
108.3
106.7
103.6
103.9
104.7
112.4
103.2
129.1
114.9
107.6
102.8
99.1
111.9
104.6
103.7
108.5
110.1
107.5
106.8

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=&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=&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.40861318280610.47385991127792
0.0294.80970476622830.751372776924832
0.0395.32733773191880.983392946767136
0.0495.9013868107791.15810626645032
0.0596.49328705114111.27364328382984
0.0697.07407708020391.30830014545829
0.0797.61910928708071.25976516766138
0.0898.11121610151331.16025041249076
0.0998.54537736132261.05897285188982
0.198.92888425239020.995618452025398
0.1199.27653281300050.983767795083141
0.1299.60409486747781.01121608458893
0.1399.9233294814561.05483571712811
0.14100.2399038242281.09263870151823
0.15100.55385540221.11021480383249
0.16100.8614633444021.10137083327705
0.17101.1574371514481.06650302617574
0.18101.4367234287681.01084400115922
0.19101.6956401475590.941877282079244
0.2101.93233535240.867363553528809
0.21102.1467207174080.794217377615128
0.22102.3400840327790.72697605526026
0.23102.5145754493510.66822181854479
0.24102.6727180090820.618428368837722
0.25102.8170343052470.576905497940441
0.26102.9498239457730.542560333142272
0.27103.0730817328330.514169965751114
0.28103.1885190497780.490793522998049
0.29103.2976403740920.472305611043813
0.3103.4018293836970.45887665816217
0.31103.5024102121890.450836487800777
0.32103.6006649371620.448405361037116
0.33103.6978048834350.451335927806981
0.34103.7949076424860.459069691444407
0.35103.8928410584620.470288278243578
0.36103.9921979539220.483098521245426
0.37104.0932608916720.495985888417272
0.38104.1960066210220.507163584546637
0.39104.3001484043680.515638785070605
0.4104.4052049248510.520763605701702
0.41104.510579745040.522419310511462
0.42104.6156362043710.52031324345814
0.43104.7197579928880.515246820147565
0.44104.8223927634010.507526111828459
0.45104.923082127620.497651656696664
0.46105.0214842259860.48598373614669
0.47105.1173943599760.473327478697026
0.48105.2107660427050.460456349225498
0.49105.3017311730280.448313395021904
0.5105.3906156089190.437991975430379
0.51105.4779460065090.430745889359694
0.52105.5644450456650.427367876698864
0.53105.6510139493190.428980147809127
0.54105.7387023478530.4361358801918
0.55105.8286655163950.449228730218881
0.56105.9221082435030.468448028789333
0.57106.0202142108220.493673414638417
0.58106.1240609938120.523764943934033
0.59106.2345242249740.557650382938907
0.6106.3521796181070.59323899705026
0.61106.4772169382440.62847825628792
0.62106.6093836050990.66079747311398
0.63106.7479756519140.687868909798201
0.64106.8918893229760.707804520131302
0.65107.0397379821410.719286546514495
0.66107.1900276342250.722072656942393
0.67107.3413723631730.717487220919461
0.68107.4927207380010.707348651047386
0.69107.6435579549750.694842059312593
0.7107.7940479861640.683656234430279
0.71107.9450864278710.677491850235871
0.72108.0982481300650.679781065589984
0.73108.2556324259520.69269639792182
0.74108.4196292130270.716461649887897
0.75108.5926459124160.750236186127392
0.76108.7768429630080.791286699466231
0.77108.9739210498080.836643631646393
0.78109.1849891897570.882942510427078
0.79109.4105283268550.927301300148931
0.8109.6504643480120.967181772956549
0.81109.9043907450271.00106334654702
0.82110.1720385218041.02869898582827
0.83110.4541650319771.052587262767
0.84110.7540840914341.08013030667146
0.85111.0800166472691.12719232931133
0.86111.4482075172991.22147524455931
0.87111.8862338706231.40312624383678
0.88112.4351169316021.71548045499011
0.89113.147980096762.18654932673709
0.9114.0827259779772.80624217331483
0.91115.2875173044873.50810549996114
0.92116.781429030684.16559823569528
0.93118.5376951236394.61733129934712
0.94120.4802102798114.72604607265776
0.95122.5000592986054.44930165442317
0.96124.4841222720913.87358790356965
0.97126.3285904942353.14953002610882
0.98127.9122962034012.31396617137747
0.99129.0591176126881.28992983117829

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 94.4086131828061 & 0.47385991127792 \tabularnewline
0.02 & 94.8097047662283 & 0.751372776924832 \tabularnewline
0.03 & 95.3273377319188 & 0.983392946767136 \tabularnewline
0.04 & 95.901386810779 & 1.15810626645032 \tabularnewline
0.05 & 96.4932870511411 & 1.27364328382984 \tabularnewline
0.06 & 97.0740770802039 & 1.30830014545829 \tabularnewline
0.07 & 97.6191092870807 & 1.25976516766138 \tabularnewline
0.08 & 98.1112161015133 & 1.16025041249076 \tabularnewline
0.09 & 98.5453773613226 & 1.05897285188982 \tabularnewline
0.1 & 98.9288842523902 & 0.995618452025398 \tabularnewline
0.11 & 99.2765328130005 & 0.983767795083141 \tabularnewline
0.12 & 99.6040948674778 & 1.01121608458893 \tabularnewline
0.13 & 99.923329481456 & 1.05483571712811 \tabularnewline
0.14 & 100.239903824228 & 1.09263870151823 \tabularnewline
0.15 & 100.5538554022 & 1.11021480383249 \tabularnewline
0.16 & 100.861463344402 & 1.10137083327705 \tabularnewline
0.17 & 101.157437151448 & 1.06650302617574 \tabularnewline
0.18 & 101.436723428768 & 1.01084400115922 \tabularnewline
0.19 & 101.695640147559 & 0.941877282079244 \tabularnewline
0.2 & 101.9323353524 & 0.867363553528809 \tabularnewline
0.21 & 102.146720717408 & 0.794217377615128 \tabularnewline
0.22 & 102.340084032779 & 0.72697605526026 \tabularnewline
0.23 & 102.514575449351 & 0.66822181854479 \tabularnewline
0.24 & 102.672718009082 & 0.618428368837722 \tabularnewline
0.25 & 102.817034305247 & 0.576905497940441 \tabularnewline
0.26 & 102.949823945773 & 0.542560333142272 \tabularnewline
0.27 & 103.073081732833 & 0.514169965751114 \tabularnewline
0.28 & 103.188519049778 & 0.490793522998049 \tabularnewline
0.29 & 103.297640374092 & 0.472305611043813 \tabularnewline
0.3 & 103.401829383697 & 0.45887665816217 \tabularnewline
0.31 & 103.502410212189 & 0.450836487800777 \tabularnewline
0.32 & 103.600664937162 & 0.448405361037116 \tabularnewline
0.33 & 103.697804883435 & 0.451335927806981 \tabularnewline
0.34 & 103.794907642486 & 0.459069691444407 \tabularnewline
0.35 & 103.892841058462 & 0.470288278243578 \tabularnewline
0.36 & 103.992197953922 & 0.483098521245426 \tabularnewline
0.37 & 104.093260891672 & 0.495985888417272 \tabularnewline
0.38 & 104.196006621022 & 0.507163584546637 \tabularnewline
0.39 & 104.300148404368 & 0.515638785070605 \tabularnewline
0.4 & 104.405204924851 & 0.520763605701702 \tabularnewline
0.41 & 104.51057974504 & 0.522419310511462 \tabularnewline
0.42 & 104.615636204371 & 0.52031324345814 \tabularnewline
0.43 & 104.719757992888 & 0.515246820147565 \tabularnewline
0.44 & 104.822392763401 & 0.507526111828459 \tabularnewline
0.45 & 104.92308212762 & 0.497651656696664 \tabularnewline
0.46 & 105.021484225986 & 0.48598373614669 \tabularnewline
0.47 & 105.117394359976 & 0.473327478697026 \tabularnewline
0.48 & 105.210766042705 & 0.460456349225498 \tabularnewline
0.49 & 105.301731173028 & 0.448313395021904 \tabularnewline
0.5 & 105.390615608919 & 0.437991975430379 \tabularnewline
0.51 & 105.477946006509 & 0.430745889359694 \tabularnewline
0.52 & 105.564445045665 & 0.427367876698864 \tabularnewline
0.53 & 105.651013949319 & 0.428980147809127 \tabularnewline
0.54 & 105.738702347853 & 0.4361358801918 \tabularnewline
0.55 & 105.828665516395 & 0.449228730218881 \tabularnewline
0.56 & 105.922108243503 & 0.468448028789333 \tabularnewline
0.57 & 106.020214210822 & 0.493673414638417 \tabularnewline
0.58 & 106.124060993812 & 0.523764943934033 \tabularnewline
0.59 & 106.234524224974 & 0.557650382938907 \tabularnewline
0.6 & 106.352179618107 & 0.59323899705026 \tabularnewline
0.61 & 106.477216938244 & 0.62847825628792 \tabularnewline
0.62 & 106.609383605099 & 0.66079747311398 \tabularnewline
0.63 & 106.747975651914 & 0.687868909798201 \tabularnewline
0.64 & 106.891889322976 & 0.707804520131302 \tabularnewline
0.65 & 107.039737982141 & 0.719286546514495 \tabularnewline
0.66 & 107.190027634225 & 0.722072656942393 \tabularnewline
0.67 & 107.341372363173 & 0.717487220919461 \tabularnewline
0.68 & 107.492720738001 & 0.707348651047386 \tabularnewline
0.69 & 107.643557954975 & 0.694842059312593 \tabularnewline
0.7 & 107.794047986164 & 0.683656234430279 \tabularnewline
0.71 & 107.945086427871 & 0.677491850235871 \tabularnewline
0.72 & 108.098248130065 & 0.679781065589984 \tabularnewline
0.73 & 108.255632425952 & 0.69269639792182 \tabularnewline
0.74 & 108.419629213027 & 0.716461649887897 \tabularnewline
0.75 & 108.592645912416 & 0.750236186127392 \tabularnewline
0.76 & 108.776842963008 & 0.791286699466231 \tabularnewline
0.77 & 108.973921049808 & 0.836643631646393 \tabularnewline
0.78 & 109.184989189757 & 0.882942510427078 \tabularnewline
0.79 & 109.410528326855 & 0.927301300148931 \tabularnewline
0.8 & 109.650464348012 & 0.967181772956549 \tabularnewline
0.81 & 109.904390745027 & 1.00106334654702 \tabularnewline
0.82 & 110.172038521804 & 1.02869898582827 \tabularnewline
0.83 & 110.454165031977 & 1.052587262767 \tabularnewline
0.84 & 110.754084091434 & 1.08013030667146 \tabularnewline
0.85 & 111.080016647269 & 1.12719232931133 \tabularnewline
0.86 & 111.448207517299 & 1.22147524455931 \tabularnewline
0.87 & 111.886233870623 & 1.40312624383678 \tabularnewline
0.88 & 112.435116931602 & 1.71548045499011 \tabularnewline
0.89 & 113.14798009676 & 2.18654932673709 \tabularnewline
0.9 & 114.082725977977 & 2.80624217331483 \tabularnewline
0.91 & 115.287517304487 & 3.50810549996114 \tabularnewline
0.92 & 116.78142903068 & 4.16559823569528 \tabularnewline
0.93 & 118.537695123639 & 4.61733129934712 \tabularnewline
0.94 & 120.480210279811 & 4.72604607265776 \tabularnewline
0.95 & 122.500059298605 & 4.44930165442317 \tabularnewline
0.96 & 124.484122272091 & 3.87358790356965 \tabularnewline
0.97 & 126.328590494235 & 3.14953002610882 \tabularnewline
0.98 & 127.912296203401 & 2.31396617137747 \tabularnewline
0.99 & 129.059117612688 & 1.28992983117829 \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]94.4086131828061[/C][C]0.47385991127792[/C][/ROW]
[ROW][C]0.02[/C][C]94.8097047662283[/C][C]0.751372776924832[/C][/ROW]
[ROW][C]0.03[/C][C]95.3273377319188[/C][C]0.983392946767136[/C][/ROW]
[ROW][C]0.04[/C][C]95.901386810779[/C][C]1.15810626645032[/C][/ROW]
[ROW][C]0.05[/C][C]96.4932870511411[/C][C]1.27364328382984[/C][/ROW]
[ROW][C]0.06[/C][C]97.0740770802039[/C][C]1.30830014545829[/C][/ROW]
[ROW][C]0.07[/C][C]97.6191092870807[/C][C]1.25976516766138[/C][/ROW]
[ROW][C]0.08[/C][C]98.1112161015133[/C][C]1.16025041249076[/C][/ROW]
[ROW][C]0.09[/C][C]98.5453773613226[/C][C]1.05897285188982[/C][/ROW]
[ROW][C]0.1[/C][C]98.9288842523902[/C][C]0.995618452025398[/C][/ROW]
[ROW][C]0.11[/C][C]99.2765328130005[/C][C]0.983767795083141[/C][/ROW]
[ROW][C]0.12[/C][C]99.6040948674778[/C][C]1.01121608458893[/C][/ROW]
[ROW][C]0.13[/C][C]99.923329481456[/C][C]1.05483571712811[/C][/ROW]
[ROW][C]0.14[/C][C]100.239903824228[/C][C]1.09263870151823[/C][/ROW]
[ROW][C]0.15[/C][C]100.5538554022[/C][C]1.11021480383249[/C][/ROW]
[ROW][C]0.16[/C][C]100.861463344402[/C][C]1.10137083327705[/C][/ROW]
[ROW][C]0.17[/C][C]101.157437151448[/C][C]1.06650302617574[/C][/ROW]
[ROW][C]0.18[/C][C]101.436723428768[/C][C]1.01084400115922[/C][/ROW]
[ROW][C]0.19[/C][C]101.695640147559[/C][C]0.941877282079244[/C][/ROW]
[ROW][C]0.2[/C][C]101.9323353524[/C][C]0.867363553528809[/C][/ROW]
[ROW][C]0.21[/C][C]102.146720717408[/C][C]0.794217377615128[/C][/ROW]
[ROW][C]0.22[/C][C]102.340084032779[/C][C]0.72697605526026[/C][/ROW]
[ROW][C]0.23[/C][C]102.514575449351[/C][C]0.66822181854479[/C][/ROW]
[ROW][C]0.24[/C][C]102.672718009082[/C][C]0.618428368837722[/C][/ROW]
[ROW][C]0.25[/C][C]102.817034305247[/C][C]0.576905497940441[/C][/ROW]
[ROW][C]0.26[/C][C]102.949823945773[/C][C]0.542560333142272[/C][/ROW]
[ROW][C]0.27[/C][C]103.073081732833[/C][C]0.514169965751114[/C][/ROW]
[ROW][C]0.28[/C][C]103.188519049778[/C][C]0.490793522998049[/C][/ROW]
[ROW][C]0.29[/C][C]103.297640374092[/C][C]0.472305611043813[/C][/ROW]
[ROW][C]0.3[/C][C]103.401829383697[/C][C]0.45887665816217[/C][/ROW]
[ROW][C]0.31[/C][C]103.502410212189[/C][C]0.450836487800777[/C][/ROW]
[ROW][C]0.32[/C][C]103.600664937162[/C][C]0.448405361037116[/C][/ROW]
[ROW][C]0.33[/C][C]103.697804883435[/C][C]0.451335927806981[/C][/ROW]
[ROW][C]0.34[/C][C]103.794907642486[/C][C]0.459069691444407[/C][/ROW]
[ROW][C]0.35[/C][C]103.892841058462[/C][C]0.470288278243578[/C][/ROW]
[ROW][C]0.36[/C][C]103.992197953922[/C][C]0.483098521245426[/C][/ROW]
[ROW][C]0.37[/C][C]104.093260891672[/C][C]0.495985888417272[/C][/ROW]
[ROW][C]0.38[/C][C]104.196006621022[/C][C]0.507163584546637[/C][/ROW]
[ROW][C]0.39[/C][C]104.300148404368[/C][C]0.515638785070605[/C][/ROW]
[ROW][C]0.4[/C][C]104.405204924851[/C][C]0.520763605701702[/C][/ROW]
[ROW][C]0.41[/C][C]104.51057974504[/C][C]0.522419310511462[/C][/ROW]
[ROW][C]0.42[/C][C]104.615636204371[/C][C]0.52031324345814[/C][/ROW]
[ROW][C]0.43[/C][C]104.719757992888[/C][C]0.515246820147565[/C][/ROW]
[ROW][C]0.44[/C][C]104.822392763401[/C][C]0.507526111828459[/C][/ROW]
[ROW][C]0.45[/C][C]104.92308212762[/C][C]0.497651656696664[/C][/ROW]
[ROW][C]0.46[/C][C]105.021484225986[/C][C]0.48598373614669[/C][/ROW]
[ROW][C]0.47[/C][C]105.117394359976[/C][C]0.473327478697026[/C][/ROW]
[ROW][C]0.48[/C][C]105.210766042705[/C][C]0.460456349225498[/C][/ROW]
[ROW][C]0.49[/C][C]105.301731173028[/C][C]0.448313395021904[/C][/ROW]
[ROW][C]0.5[/C][C]105.390615608919[/C][C]0.437991975430379[/C][/ROW]
[ROW][C]0.51[/C][C]105.477946006509[/C][C]0.430745889359694[/C][/ROW]
[ROW][C]0.52[/C][C]105.564445045665[/C][C]0.427367876698864[/C][/ROW]
[ROW][C]0.53[/C][C]105.651013949319[/C][C]0.428980147809127[/C][/ROW]
[ROW][C]0.54[/C][C]105.738702347853[/C][C]0.4361358801918[/C][/ROW]
[ROW][C]0.55[/C][C]105.828665516395[/C][C]0.449228730218881[/C][/ROW]
[ROW][C]0.56[/C][C]105.922108243503[/C][C]0.468448028789333[/C][/ROW]
[ROW][C]0.57[/C][C]106.020214210822[/C][C]0.493673414638417[/C][/ROW]
[ROW][C]0.58[/C][C]106.124060993812[/C][C]0.523764943934033[/C][/ROW]
[ROW][C]0.59[/C][C]106.234524224974[/C][C]0.557650382938907[/C][/ROW]
[ROW][C]0.6[/C][C]106.352179618107[/C][C]0.59323899705026[/C][/ROW]
[ROW][C]0.61[/C][C]106.477216938244[/C][C]0.62847825628792[/C][/ROW]
[ROW][C]0.62[/C][C]106.609383605099[/C][C]0.66079747311398[/C][/ROW]
[ROW][C]0.63[/C][C]106.747975651914[/C][C]0.687868909798201[/C][/ROW]
[ROW][C]0.64[/C][C]106.891889322976[/C][C]0.707804520131302[/C][/ROW]
[ROW][C]0.65[/C][C]107.039737982141[/C][C]0.719286546514495[/C][/ROW]
[ROW][C]0.66[/C][C]107.190027634225[/C][C]0.722072656942393[/C][/ROW]
[ROW][C]0.67[/C][C]107.341372363173[/C][C]0.717487220919461[/C][/ROW]
[ROW][C]0.68[/C][C]107.492720738001[/C][C]0.707348651047386[/C][/ROW]
[ROW][C]0.69[/C][C]107.643557954975[/C][C]0.694842059312593[/C][/ROW]
[ROW][C]0.7[/C][C]107.794047986164[/C][C]0.683656234430279[/C][/ROW]
[ROW][C]0.71[/C][C]107.945086427871[/C][C]0.677491850235871[/C][/ROW]
[ROW][C]0.72[/C][C]108.098248130065[/C][C]0.679781065589984[/C][/ROW]
[ROW][C]0.73[/C][C]108.255632425952[/C][C]0.69269639792182[/C][/ROW]
[ROW][C]0.74[/C][C]108.419629213027[/C][C]0.716461649887897[/C][/ROW]
[ROW][C]0.75[/C][C]108.592645912416[/C][C]0.750236186127392[/C][/ROW]
[ROW][C]0.76[/C][C]108.776842963008[/C][C]0.791286699466231[/C][/ROW]
[ROW][C]0.77[/C][C]108.973921049808[/C][C]0.836643631646393[/C][/ROW]
[ROW][C]0.78[/C][C]109.184989189757[/C][C]0.882942510427078[/C][/ROW]
[ROW][C]0.79[/C][C]109.410528326855[/C][C]0.927301300148931[/C][/ROW]
[ROW][C]0.8[/C][C]109.650464348012[/C][C]0.967181772956549[/C][/ROW]
[ROW][C]0.81[/C][C]109.904390745027[/C][C]1.00106334654702[/C][/ROW]
[ROW][C]0.82[/C][C]110.172038521804[/C][C]1.02869898582827[/C][/ROW]
[ROW][C]0.83[/C][C]110.454165031977[/C][C]1.052587262767[/C][/ROW]
[ROW][C]0.84[/C][C]110.754084091434[/C][C]1.08013030667146[/C][/ROW]
[ROW][C]0.85[/C][C]111.080016647269[/C][C]1.12719232931133[/C][/ROW]
[ROW][C]0.86[/C][C]111.448207517299[/C][C]1.22147524455931[/C][/ROW]
[ROW][C]0.87[/C][C]111.886233870623[/C][C]1.40312624383678[/C][/ROW]
[ROW][C]0.88[/C][C]112.435116931602[/C][C]1.71548045499011[/C][/ROW]
[ROW][C]0.89[/C][C]113.14798009676[/C][C]2.18654932673709[/C][/ROW]
[ROW][C]0.9[/C][C]114.082725977977[/C][C]2.80624217331483[/C][/ROW]
[ROW][C]0.91[/C][C]115.287517304487[/C][C]3.50810549996114[/C][/ROW]
[ROW][C]0.92[/C][C]116.78142903068[/C][C]4.16559823569528[/C][/ROW]
[ROW][C]0.93[/C][C]118.537695123639[/C][C]4.61733129934712[/C][/ROW]
[ROW][C]0.94[/C][C]120.480210279811[/C][C]4.72604607265776[/C][/ROW]
[ROW][C]0.95[/C][C]122.500059298605[/C][C]4.44930165442317[/C][/ROW]
[ROW][C]0.96[/C][C]124.484122272091[/C][C]3.87358790356965[/C][/ROW]
[ROW][C]0.97[/C][C]126.328590494235[/C][C]3.14953002610882[/C][/ROW]
[ROW][C]0.98[/C][C]127.912296203401[/C][C]2.31396617137747[/C][/ROW]
[ROW][C]0.99[/C][C]129.059117612688[/C][C]1.28992983117829[/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
0.0194.40861318280610.47385991127792
0.0294.80970476622830.751372776924832
0.0395.32733773191880.983392946767136
0.0495.9013868107791.15810626645032
0.0596.49328705114111.27364328382984
0.0697.07407708020391.30830014545829
0.0797.61910928708071.25976516766138
0.0898.11121610151331.16025041249076
0.0998.54537736132261.05897285188982
0.198.92888425239020.995618452025398
0.1199.27653281300050.983767795083141
0.1299.60409486747781.01121608458893
0.1399.9233294814561.05483571712811
0.14100.2399038242281.09263870151823
0.15100.55385540221.11021480383249
0.16100.8614633444021.10137083327705
0.17101.1574371514481.06650302617574
0.18101.4367234287681.01084400115922
0.19101.6956401475590.941877282079244
0.2101.93233535240.867363553528809
0.21102.1467207174080.794217377615128
0.22102.3400840327790.72697605526026
0.23102.5145754493510.66822181854479
0.24102.6727180090820.618428368837722
0.25102.8170343052470.576905497940441
0.26102.9498239457730.542560333142272
0.27103.0730817328330.514169965751114
0.28103.1885190497780.490793522998049
0.29103.2976403740920.472305611043813
0.3103.4018293836970.45887665816217
0.31103.5024102121890.450836487800777
0.32103.6006649371620.448405361037116
0.33103.6978048834350.451335927806981
0.34103.7949076424860.459069691444407
0.35103.8928410584620.470288278243578
0.36103.9921979539220.483098521245426
0.37104.0932608916720.495985888417272
0.38104.1960066210220.507163584546637
0.39104.3001484043680.515638785070605
0.4104.4052049248510.520763605701702
0.41104.510579745040.522419310511462
0.42104.6156362043710.52031324345814
0.43104.7197579928880.515246820147565
0.44104.8223927634010.507526111828459
0.45104.923082127620.497651656696664
0.46105.0214842259860.48598373614669
0.47105.1173943599760.473327478697026
0.48105.2107660427050.460456349225498
0.49105.3017311730280.448313395021904
0.5105.3906156089190.437991975430379
0.51105.4779460065090.430745889359694
0.52105.5644450456650.427367876698864
0.53105.6510139493190.428980147809127
0.54105.7387023478530.4361358801918
0.55105.8286655163950.449228730218881
0.56105.9221082435030.468448028789333
0.57106.0202142108220.493673414638417
0.58106.1240609938120.523764943934033
0.59106.2345242249740.557650382938907
0.6106.3521796181070.59323899705026
0.61106.4772169382440.62847825628792
0.62106.6093836050990.66079747311398
0.63106.7479756519140.687868909798201
0.64106.8918893229760.707804520131302
0.65107.0397379821410.719286546514495
0.66107.1900276342250.722072656942393
0.67107.3413723631730.717487220919461
0.68107.4927207380010.707348651047386
0.69107.6435579549750.694842059312593
0.7107.7940479861640.683656234430279
0.71107.9450864278710.677491850235871
0.72108.0982481300650.679781065589984
0.73108.2556324259520.69269639792182
0.74108.4196292130270.716461649887897
0.75108.5926459124160.750236186127392
0.76108.7768429630080.791286699466231
0.77108.9739210498080.836643631646393
0.78109.1849891897570.882942510427078
0.79109.4105283268550.927301300148931
0.8109.6504643480120.967181772956549
0.81109.9043907450271.00106334654702
0.82110.1720385218041.02869898582827
0.83110.4541650319771.052587262767
0.84110.7540840914341.08013030667146
0.85111.0800166472691.12719232931133
0.86111.4482075172991.22147524455931
0.87111.8862338706231.40312624383678
0.88112.4351169316021.71548045499011
0.89113.147980096762.18654932673709
0.9114.0827259779772.80624217331483
0.91115.2875173044873.50810549996114
0.92116.781429030684.16559823569528
0.93118.5376951236394.61733129934712
0.94120.4802102798114.72604607265776
0.95122.5000592986054.44930165442317
0.96124.4841222720913.87358790356965
0.97126.3285904942353.14953002610882
0.98127.9122962034012.31396617137747
0.99129.0591176126881.28992983117829


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')