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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 computationSat, 11 Mar 2017 22:15:29 +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/2017/Mar/11/t1489270851qicttedt6ejdbwi.htm/, Retrieved Tue, 21 May 2024 08:29:04 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 08:29:04 +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 
94.72
95.76
96.14
97.11
97.19
97.43
97.43
97.56
97.66
97.75
97.82
97.82
97.82
98.35
98.19
98.19
98.21
98.22
98.26
98.23
98.26
98.5
98.51
98.51
98.51
98.89
99.55
99.9
100.12
100.09
100.09
100.09
100.46
100.71
100.79
100.79
100.93
101.15
101.53
101.91
102.18
102.24
102.2
102.32
102.43
102.45
102.84
102.96
102.96
103.1
103.4
103.74
103.97
104.29
104.33
104.46
104.9
105.31
105.63
105.68
105.87
106.34
106.6
107.1
107.06
107.4
107.4
107.43
107.75
107.84
107.97
108.04

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'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 & 1 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]1 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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.0349313067450.896352476387251
0.0295.49612772797640.779626737504274
0.0395.95637530658750.726059465053905
0.0496.35281256821330.67815145408943
0.0596.67563531899190.597033709715009
0.0696.93094984536740.493724574482911
0.0797.12839803849690.394717336038663
0.0897.27945383623660.317772222437289
0.0997.39620347501290.267067616858216
0.197.48949752400490.23770949734796
0.1197.56773536079940.222481994227773
0.1297.63669383632020.215501168221486
0.1397.70000954823630.213400407925878
0.1497.759816635450.213951243138097
0.1597.81726400003880.215409072469194
0.1697.87285606596380.216219312184504
0.1797.92667223826350.215204239528139
0.1897.97853832365520.211493139476833
0.1998.02819436764380.205099795845887
0.298.07546530879560.197115349347576
0.2198.12041492617580.189437808223427
0.2298.16345654906570.184478608466943
0.2398.20540233916690.184793458433164
0.2498.24744802335530.192707730041389
0.2598.29110324075770.209888576537295
0.2698.33808427203450.236976320671922
0.2798.3901855322340.273733807353442
0.2898.44914187636240.319387690089004
0.2998.5164895470810.37245278774309
0.398.59343236693960.430791180352957
0.3198.68072206366940.49161950602316
0.3298.77856565686460.551718927890352
0.3398.88657565381790.60771454255076
0.3499.00377768132350.656329798655059
0.3599.12868389869180.694950822572481
0.3699.25942993941770.721663052274815
0.3799.39396084809320.736339622409031
0.3899.53024098183390.739516390553701
0.3999.66645719566530.733212220668476
0.499.80118544866420.720080561795456
0.4199.93349795033320.703574060224842
0.42100.0629991107060.686828894275348
0.43100.1897909337020.672863223434693
0.44100.314379245620.663310890843486
0.45100.4375393342660.659664272385766
0.46100.5601625500640.661741419360213
0.47100.6831047348390.668778000410634
0.48100.8070542234070.679237437015656
0.49100.9324328917080.691013123062023
0.5101.0593391726250.702045022606913
0.51101.1875374305040.710301943344312
0.52101.3164934867220.713814741778597
0.53101.4454512937920.711654528693079
0.54101.5735409365070.703468978597387
0.55101.6999039050460.689506505109617
0.56101.8238188510890.671083899374089
0.57101.9448106785990.649838736909806
0.58102.0627282747290.628209375228791
0.59102.1777811896040.608495538518704
0.6102.2905321553670.592694339516579
0.61102.4018490862230.582679089093087
0.62102.5128257209590.579595368715552
0.63102.6246834013740.583468381119713
0.64102.7386673657190.594110007548424
0.65102.8559497804750.610598131986752
0.66102.9775493113940.631573760275369
0.67103.1042740855970.655699885246946
0.68103.2366918162460.681209481870818
0.69103.3751276550640.706777952620102
0.7103.5196868699620.731124738735567
0.71103.6702958468120.753350035730522
0.72103.8267518838380.772883269571744
0.73103.9887709720530.789886151460274
0.74104.1560243615510.804026368039573
0.75104.3281594223750.815634580149218
0.76104.5048067621280.824478288214108
0.77104.6855808645580.830464016857765
0.78104.8700823013070.833385157315423
0.79105.0579038972410.832946370510239
0.8105.248632421670.829329351125303
0.81105.4418266610350.822792543110538
0.82105.6369497455320.813298593994914
0.83105.8332448698510.800487656816308
0.84106.0295702385960.783040214308262
0.85106.224244311650.758669127686728
0.86106.4149819744430.724765936203211
0.87106.5990086753210.679345919021582
0.88106.773408315430.622071830214507
0.89106.9356862045930.555022100018299
0.9107.084420389740.48319235958312
0.91107.2197657429980.41349351179593
0.92107.3435264208820.353392739535391
0.93107.4586000018750.307662202343053
0.94107.5678586601430.274996527140671
0.95107.6728818502590.247692479322837
0.96107.7731331893250.21656697889935
0.97107.8658683868180.177019929252451
0.98107.9462838657170.131280712449904
0.99108.0071885819190.0897651014320755

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.034931306745 & 0.896352476387251 \tabularnewline
0.02 & 95.4961277279764 & 0.779626737504274 \tabularnewline
0.03 & 95.9563753065875 & 0.726059465053905 \tabularnewline
0.04 & 96.3528125682133 & 0.67815145408943 \tabularnewline
0.05 & 96.6756353189919 & 0.597033709715009 \tabularnewline
0.06 & 96.9309498453674 & 0.493724574482911 \tabularnewline
0.07 & 97.1283980384969 & 0.394717336038663 \tabularnewline
0.08 & 97.2794538362366 & 0.317772222437289 \tabularnewline
0.09 & 97.3962034750129 & 0.267067616858216 \tabularnewline
0.1 & 97.4894975240049 & 0.23770949734796 \tabularnewline
0.11 & 97.5677353607994 & 0.222481994227773 \tabularnewline
0.12 & 97.6366938363202 & 0.215501168221486 \tabularnewline
0.13 & 97.7000095482363 & 0.213400407925878 \tabularnewline
0.14 & 97.75981663545 & 0.213951243138097 \tabularnewline
0.15 & 97.8172640000388 & 0.215409072469194 \tabularnewline
0.16 & 97.8728560659638 & 0.216219312184504 \tabularnewline
0.17 & 97.9266722382635 & 0.215204239528139 \tabularnewline
0.18 & 97.9785383236552 & 0.211493139476833 \tabularnewline
0.19 & 98.0281943676438 & 0.205099795845887 \tabularnewline
0.2 & 98.0754653087956 & 0.197115349347576 \tabularnewline
0.21 & 98.1204149261758 & 0.189437808223427 \tabularnewline
0.22 & 98.1634565490657 & 0.184478608466943 \tabularnewline
0.23 & 98.2054023391669 & 0.184793458433164 \tabularnewline
0.24 & 98.2474480233553 & 0.192707730041389 \tabularnewline
0.25 & 98.2911032407577 & 0.209888576537295 \tabularnewline
0.26 & 98.3380842720345 & 0.236976320671922 \tabularnewline
0.27 & 98.390185532234 & 0.273733807353442 \tabularnewline
0.28 & 98.4491418763624 & 0.319387690089004 \tabularnewline
0.29 & 98.516489547081 & 0.37245278774309 \tabularnewline
0.3 & 98.5934323669396 & 0.430791180352957 \tabularnewline
0.31 & 98.6807220636694 & 0.49161950602316 \tabularnewline
0.32 & 98.7785656568646 & 0.551718927890352 \tabularnewline
0.33 & 98.8865756538179 & 0.60771454255076 \tabularnewline
0.34 & 99.0037776813235 & 0.656329798655059 \tabularnewline
0.35 & 99.1286838986918 & 0.694950822572481 \tabularnewline
0.36 & 99.2594299394177 & 0.721663052274815 \tabularnewline
0.37 & 99.3939608480932 & 0.736339622409031 \tabularnewline
0.38 & 99.5302409818339 & 0.739516390553701 \tabularnewline
0.39 & 99.6664571956653 & 0.733212220668476 \tabularnewline
0.4 & 99.8011854486642 & 0.720080561795456 \tabularnewline
0.41 & 99.9334979503332 & 0.703574060224842 \tabularnewline
0.42 & 100.062999110706 & 0.686828894275348 \tabularnewline
0.43 & 100.189790933702 & 0.672863223434693 \tabularnewline
0.44 & 100.31437924562 & 0.663310890843486 \tabularnewline
0.45 & 100.437539334266 & 0.659664272385766 \tabularnewline
0.46 & 100.560162550064 & 0.661741419360213 \tabularnewline
0.47 & 100.683104734839 & 0.668778000410634 \tabularnewline
0.48 & 100.807054223407 & 0.679237437015656 \tabularnewline
0.49 & 100.932432891708 & 0.691013123062023 \tabularnewline
0.5 & 101.059339172625 & 0.702045022606913 \tabularnewline
0.51 & 101.187537430504 & 0.710301943344312 \tabularnewline
0.52 & 101.316493486722 & 0.713814741778597 \tabularnewline
0.53 & 101.445451293792 & 0.711654528693079 \tabularnewline
0.54 & 101.573540936507 & 0.703468978597387 \tabularnewline
0.55 & 101.699903905046 & 0.689506505109617 \tabularnewline
0.56 & 101.823818851089 & 0.671083899374089 \tabularnewline
0.57 & 101.944810678599 & 0.649838736909806 \tabularnewline
0.58 & 102.062728274729 & 0.628209375228791 \tabularnewline
0.59 & 102.177781189604 & 0.608495538518704 \tabularnewline
0.6 & 102.290532155367 & 0.592694339516579 \tabularnewline
0.61 & 102.401849086223 & 0.582679089093087 \tabularnewline
0.62 & 102.512825720959 & 0.579595368715552 \tabularnewline
0.63 & 102.624683401374 & 0.583468381119713 \tabularnewline
0.64 & 102.738667365719 & 0.594110007548424 \tabularnewline
0.65 & 102.855949780475 & 0.610598131986752 \tabularnewline
0.66 & 102.977549311394 & 0.631573760275369 \tabularnewline
0.67 & 103.104274085597 & 0.655699885246946 \tabularnewline
0.68 & 103.236691816246 & 0.681209481870818 \tabularnewline
0.69 & 103.375127655064 & 0.706777952620102 \tabularnewline
0.7 & 103.519686869962 & 0.731124738735567 \tabularnewline
0.71 & 103.670295846812 & 0.753350035730522 \tabularnewline
0.72 & 103.826751883838 & 0.772883269571744 \tabularnewline
0.73 & 103.988770972053 & 0.789886151460274 \tabularnewline
0.74 & 104.156024361551 & 0.804026368039573 \tabularnewline
0.75 & 104.328159422375 & 0.815634580149218 \tabularnewline
0.76 & 104.504806762128 & 0.824478288214108 \tabularnewline
0.77 & 104.685580864558 & 0.830464016857765 \tabularnewline
0.78 & 104.870082301307 & 0.833385157315423 \tabularnewline
0.79 & 105.057903897241 & 0.832946370510239 \tabularnewline
0.8 & 105.24863242167 & 0.829329351125303 \tabularnewline
0.81 & 105.441826661035 & 0.822792543110538 \tabularnewline
0.82 & 105.636949745532 & 0.813298593994914 \tabularnewline
0.83 & 105.833244869851 & 0.800487656816308 \tabularnewline
0.84 & 106.029570238596 & 0.783040214308262 \tabularnewline
0.85 & 106.22424431165 & 0.758669127686728 \tabularnewline
0.86 & 106.414981974443 & 0.724765936203211 \tabularnewline
0.87 & 106.599008675321 & 0.679345919021582 \tabularnewline
0.88 & 106.77340831543 & 0.622071830214507 \tabularnewline
0.89 & 106.935686204593 & 0.555022100018299 \tabularnewline
0.9 & 107.08442038974 & 0.48319235958312 \tabularnewline
0.91 & 107.219765742998 & 0.41349351179593 \tabularnewline
0.92 & 107.343526420882 & 0.353392739535391 \tabularnewline
0.93 & 107.458600001875 & 0.307662202343053 \tabularnewline
0.94 & 107.567858660143 & 0.274996527140671 \tabularnewline
0.95 & 107.672881850259 & 0.247692479322837 \tabularnewline
0.96 & 107.773133189325 & 0.21656697889935 \tabularnewline
0.97 & 107.865868386818 & 0.177019929252451 \tabularnewline
0.98 & 107.946283865717 & 0.131280712449904 \tabularnewline
0.99 & 108.007188581919 & 0.0897651014320755 \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]95.034931306745[/C][C]0.896352476387251[/C][/ROW]
[ROW][C]0.02[/C][C]95.4961277279764[/C][C]0.779626737504274[/C][/ROW]
[ROW][C]0.03[/C][C]95.9563753065875[/C][C]0.726059465053905[/C][/ROW]
[ROW][C]0.04[/C][C]96.3528125682133[/C][C]0.67815145408943[/C][/ROW]
[ROW][C]0.05[/C][C]96.6756353189919[/C][C]0.597033709715009[/C][/ROW]
[ROW][C]0.06[/C][C]96.9309498453674[/C][C]0.493724574482911[/C][/ROW]
[ROW][C]0.07[/C][C]97.1283980384969[/C][C]0.394717336038663[/C][/ROW]
[ROW][C]0.08[/C][C]97.2794538362366[/C][C]0.317772222437289[/C][/ROW]
[ROW][C]0.09[/C][C]97.3962034750129[/C][C]0.267067616858216[/C][/ROW]
[ROW][C]0.1[/C][C]97.4894975240049[/C][C]0.23770949734796[/C][/ROW]
[ROW][C]0.11[/C][C]97.5677353607994[/C][C]0.222481994227773[/C][/ROW]
[ROW][C]0.12[/C][C]97.6366938363202[/C][C]0.215501168221486[/C][/ROW]
[ROW][C]0.13[/C][C]97.7000095482363[/C][C]0.213400407925878[/C][/ROW]
[ROW][C]0.14[/C][C]97.75981663545[/C][C]0.213951243138097[/C][/ROW]
[ROW][C]0.15[/C][C]97.8172640000388[/C][C]0.215409072469194[/C][/ROW]
[ROW][C]0.16[/C][C]97.8728560659638[/C][C]0.216219312184504[/C][/ROW]
[ROW][C]0.17[/C][C]97.9266722382635[/C][C]0.215204239528139[/C][/ROW]
[ROW][C]0.18[/C][C]97.9785383236552[/C][C]0.211493139476833[/C][/ROW]
[ROW][C]0.19[/C][C]98.0281943676438[/C][C]0.205099795845887[/C][/ROW]
[ROW][C]0.2[/C][C]98.0754653087956[/C][C]0.197115349347576[/C][/ROW]
[ROW][C]0.21[/C][C]98.1204149261758[/C][C]0.189437808223427[/C][/ROW]
[ROW][C]0.22[/C][C]98.1634565490657[/C][C]0.184478608466943[/C][/ROW]
[ROW][C]0.23[/C][C]98.2054023391669[/C][C]0.184793458433164[/C][/ROW]
[ROW][C]0.24[/C][C]98.2474480233553[/C][C]0.192707730041389[/C][/ROW]
[ROW][C]0.25[/C][C]98.2911032407577[/C][C]0.209888576537295[/C][/ROW]
[ROW][C]0.26[/C][C]98.3380842720345[/C][C]0.236976320671922[/C][/ROW]
[ROW][C]0.27[/C][C]98.390185532234[/C][C]0.273733807353442[/C][/ROW]
[ROW][C]0.28[/C][C]98.4491418763624[/C][C]0.319387690089004[/C][/ROW]
[ROW][C]0.29[/C][C]98.516489547081[/C][C]0.37245278774309[/C][/ROW]
[ROW][C]0.3[/C][C]98.5934323669396[/C][C]0.430791180352957[/C][/ROW]
[ROW][C]0.31[/C][C]98.6807220636694[/C][C]0.49161950602316[/C][/ROW]
[ROW][C]0.32[/C][C]98.7785656568646[/C][C]0.551718927890352[/C][/ROW]
[ROW][C]0.33[/C][C]98.8865756538179[/C][C]0.60771454255076[/C][/ROW]
[ROW][C]0.34[/C][C]99.0037776813235[/C][C]0.656329798655059[/C][/ROW]
[ROW][C]0.35[/C][C]99.1286838986918[/C][C]0.694950822572481[/C][/ROW]
[ROW][C]0.36[/C][C]99.2594299394177[/C][C]0.721663052274815[/C][/ROW]
[ROW][C]0.37[/C][C]99.3939608480932[/C][C]0.736339622409031[/C][/ROW]
[ROW][C]0.38[/C][C]99.5302409818339[/C][C]0.739516390553701[/C][/ROW]
[ROW][C]0.39[/C][C]99.6664571956653[/C][C]0.733212220668476[/C][/ROW]
[ROW][C]0.4[/C][C]99.8011854486642[/C][C]0.720080561795456[/C][/ROW]
[ROW][C]0.41[/C][C]99.9334979503332[/C][C]0.703574060224842[/C][/ROW]
[ROW][C]0.42[/C][C]100.062999110706[/C][C]0.686828894275348[/C][/ROW]
[ROW][C]0.43[/C][C]100.189790933702[/C][C]0.672863223434693[/C][/ROW]
[ROW][C]0.44[/C][C]100.31437924562[/C][C]0.663310890843486[/C][/ROW]
[ROW][C]0.45[/C][C]100.437539334266[/C][C]0.659664272385766[/C][/ROW]
[ROW][C]0.46[/C][C]100.560162550064[/C][C]0.661741419360213[/C][/ROW]
[ROW][C]0.47[/C][C]100.683104734839[/C][C]0.668778000410634[/C][/ROW]
[ROW][C]0.48[/C][C]100.807054223407[/C][C]0.679237437015656[/C][/ROW]
[ROW][C]0.49[/C][C]100.932432891708[/C][C]0.691013123062023[/C][/ROW]
[ROW][C]0.5[/C][C]101.059339172625[/C][C]0.702045022606913[/C][/ROW]
[ROW][C]0.51[/C][C]101.187537430504[/C][C]0.710301943344312[/C][/ROW]
[ROW][C]0.52[/C][C]101.316493486722[/C][C]0.713814741778597[/C][/ROW]
[ROW][C]0.53[/C][C]101.445451293792[/C][C]0.711654528693079[/C][/ROW]
[ROW][C]0.54[/C][C]101.573540936507[/C][C]0.703468978597387[/C][/ROW]
[ROW][C]0.55[/C][C]101.699903905046[/C][C]0.689506505109617[/C][/ROW]
[ROW][C]0.56[/C][C]101.823818851089[/C][C]0.671083899374089[/C][/ROW]
[ROW][C]0.57[/C][C]101.944810678599[/C][C]0.649838736909806[/C][/ROW]
[ROW][C]0.58[/C][C]102.062728274729[/C][C]0.628209375228791[/C][/ROW]
[ROW][C]0.59[/C][C]102.177781189604[/C][C]0.608495538518704[/C][/ROW]
[ROW][C]0.6[/C][C]102.290532155367[/C][C]0.592694339516579[/C][/ROW]
[ROW][C]0.61[/C][C]102.401849086223[/C][C]0.582679089093087[/C][/ROW]
[ROW][C]0.62[/C][C]102.512825720959[/C][C]0.579595368715552[/C][/ROW]
[ROW][C]0.63[/C][C]102.624683401374[/C][C]0.583468381119713[/C][/ROW]
[ROW][C]0.64[/C][C]102.738667365719[/C][C]0.594110007548424[/C][/ROW]
[ROW][C]0.65[/C][C]102.855949780475[/C][C]0.610598131986752[/C][/ROW]
[ROW][C]0.66[/C][C]102.977549311394[/C][C]0.631573760275369[/C][/ROW]
[ROW][C]0.67[/C][C]103.104274085597[/C][C]0.655699885246946[/C][/ROW]
[ROW][C]0.68[/C][C]103.236691816246[/C][C]0.681209481870818[/C][/ROW]
[ROW][C]0.69[/C][C]103.375127655064[/C][C]0.706777952620102[/C][/ROW]
[ROW][C]0.7[/C][C]103.519686869962[/C][C]0.731124738735567[/C][/ROW]
[ROW][C]0.71[/C][C]103.670295846812[/C][C]0.753350035730522[/C][/ROW]
[ROW][C]0.72[/C][C]103.826751883838[/C][C]0.772883269571744[/C][/ROW]
[ROW][C]0.73[/C][C]103.988770972053[/C][C]0.789886151460274[/C][/ROW]
[ROW][C]0.74[/C][C]104.156024361551[/C][C]0.804026368039573[/C][/ROW]
[ROW][C]0.75[/C][C]104.328159422375[/C][C]0.815634580149218[/C][/ROW]
[ROW][C]0.76[/C][C]104.504806762128[/C][C]0.824478288214108[/C][/ROW]
[ROW][C]0.77[/C][C]104.685580864558[/C][C]0.830464016857765[/C][/ROW]
[ROW][C]0.78[/C][C]104.870082301307[/C][C]0.833385157315423[/C][/ROW]
[ROW][C]0.79[/C][C]105.057903897241[/C][C]0.832946370510239[/C][/ROW]
[ROW][C]0.8[/C][C]105.24863242167[/C][C]0.829329351125303[/C][/ROW]
[ROW][C]0.81[/C][C]105.441826661035[/C][C]0.822792543110538[/C][/ROW]
[ROW][C]0.82[/C][C]105.636949745532[/C][C]0.813298593994914[/C][/ROW]
[ROW][C]0.83[/C][C]105.833244869851[/C][C]0.800487656816308[/C][/ROW]
[ROW][C]0.84[/C][C]106.029570238596[/C][C]0.783040214308262[/C][/ROW]
[ROW][C]0.85[/C][C]106.22424431165[/C][C]0.758669127686728[/C][/ROW]
[ROW][C]0.86[/C][C]106.414981974443[/C][C]0.724765936203211[/C][/ROW]
[ROW][C]0.87[/C][C]106.599008675321[/C][C]0.679345919021582[/C][/ROW]
[ROW][C]0.88[/C][C]106.77340831543[/C][C]0.622071830214507[/C][/ROW]
[ROW][C]0.89[/C][C]106.935686204593[/C][C]0.555022100018299[/C][/ROW]
[ROW][C]0.9[/C][C]107.08442038974[/C][C]0.48319235958312[/C][/ROW]
[ROW][C]0.91[/C][C]107.219765742998[/C][C]0.41349351179593[/C][/ROW]
[ROW][C]0.92[/C][C]107.343526420882[/C][C]0.353392739535391[/C][/ROW]
[ROW][C]0.93[/C][C]107.458600001875[/C][C]0.307662202343053[/C][/ROW]
[ROW][C]0.94[/C][C]107.567858660143[/C][C]0.274996527140671[/C][/ROW]
[ROW][C]0.95[/C][C]107.672881850259[/C][C]0.247692479322837[/C][/ROW]
[ROW][C]0.96[/C][C]107.773133189325[/C][C]0.21656697889935[/C][/ROW]
[ROW][C]0.97[/C][C]107.865868386818[/C][C]0.177019929252451[/C][/ROW]
[ROW][C]0.98[/C][C]107.946283865717[/C][C]0.131280712449904[/C][/ROW]
[ROW][C]0.99[/C][C]108.007188581919[/C][C]0.0897651014320755[/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
0.0195.0349313067450.896352476387251
0.0295.49612772797640.779626737504274
0.0395.95637530658750.726059465053905
0.0496.35281256821330.67815145408943
0.0596.67563531899190.597033709715009
0.0696.93094984536740.493724574482911
0.0797.12839803849690.394717336038663
0.0897.27945383623660.317772222437289
0.0997.39620347501290.267067616858216
0.197.48949752400490.23770949734796
0.1197.56773536079940.222481994227773
0.1297.63669383632020.215501168221486
0.1397.70000954823630.213400407925878
0.1497.759816635450.213951243138097
0.1597.81726400003880.215409072469194
0.1697.87285606596380.216219312184504
0.1797.92667223826350.215204239528139
0.1897.97853832365520.211493139476833
0.1998.02819436764380.205099795845887
0.298.07546530879560.197115349347576
0.2198.12041492617580.189437808223427
0.2298.16345654906570.184478608466943
0.2398.20540233916690.184793458433164
0.2498.24744802335530.192707730041389
0.2598.29110324075770.209888576537295
0.2698.33808427203450.236976320671922
0.2798.3901855322340.273733807353442
0.2898.44914187636240.319387690089004
0.2998.5164895470810.37245278774309
0.398.59343236693960.430791180352957
0.3198.68072206366940.49161950602316
0.3298.77856565686460.551718927890352
0.3398.88657565381790.60771454255076
0.3499.00377768132350.656329798655059
0.3599.12868389869180.694950822572481
0.3699.25942993941770.721663052274815
0.3799.39396084809320.736339622409031
0.3899.53024098183390.739516390553701
0.3999.66645719566530.733212220668476
0.499.80118544866420.720080561795456
0.4199.93349795033320.703574060224842
0.42100.0629991107060.686828894275348
0.43100.1897909337020.672863223434693
0.44100.314379245620.663310890843486
0.45100.4375393342660.659664272385766
0.46100.5601625500640.661741419360213
0.47100.6831047348390.668778000410634
0.48100.8070542234070.679237437015656
0.49100.9324328917080.691013123062023
0.5101.0593391726250.702045022606913
0.51101.1875374305040.710301943344312
0.52101.3164934867220.713814741778597
0.53101.4454512937920.711654528693079
0.54101.5735409365070.703468978597387
0.55101.6999039050460.689506505109617
0.56101.8238188510890.671083899374089
0.57101.9448106785990.649838736909806
0.58102.0627282747290.628209375228791
0.59102.1777811896040.608495538518704
0.6102.2905321553670.592694339516579
0.61102.4018490862230.582679089093087
0.62102.5128257209590.579595368715552
0.63102.6246834013740.583468381119713
0.64102.7386673657190.594110007548424
0.65102.8559497804750.610598131986752
0.66102.9775493113940.631573760275369
0.67103.1042740855970.655699885246946
0.68103.2366918162460.681209481870818
0.69103.3751276550640.706777952620102
0.7103.5196868699620.731124738735567
0.71103.6702958468120.753350035730522
0.72103.8267518838380.772883269571744
0.73103.9887709720530.789886151460274
0.74104.1560243615510.804026368039573
0.75104.3281594223750.815634580149218
0.76104.5048067621280.824478288214108
0.77104.6855808645580.830464016857765
0.78104.8700823013070.833385157315423
0.79105.0579038972410.832946370510239
0.8105.248632421670.829329351125303
0.81105.4418266610350.822792543110538
0.82105.6369497455320.813298593994914
0.83105.8332448698510.800487656816308
0.84106.0295702385960.783040214308262
0.85106.224244311650.758669127686728
0.86106.4149819744430.724765936203211
0.87106.5990086753210.679345919021582
0.88106.773408315430.622071830214507
0.89106.9356862045930.555022100018299
0.9107.084420389740.48319235958312
0.91107.2197657429980.41349351179593
0.92107.3435264208820.353392739535391
0.93107.4586000018750.307662202343053
0.94107.5678586601430.274996527140671
0.95107.6728818502590.247692479322837
0.96107.7731331893250.21656697889935
0.97107.8658683868180.177019929252451
0.98107.9462838657170.131280712449904
0.99108.0071885819190.0897651014320755


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')