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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 14:17:37 +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/t1489241902fr4irhjad6z9vbt.htm/, Retrieved Tue, 14 May 2024 22:53:53 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 22:53:53 +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 
93.55
94.11
94.47
94.38
94.42
94.39
94.42
94.34
94.59
94.63
94.84
94.98
95.19
95.76
96.08
96.04
96.2
96.31
96.3
96.29
96.46
96.66
96.83
97
97.1
97.33
97.31
97.16
97.4
97.4
97.52
97.77
98
98.2
98.48
98.53
98.71
99.03
99.52
99.65
99.98
99.94
100.12
100.17
100.38
100.75
100.84
100.91
100.9
101.15
101.4
101.39
101.55
101.73
101.7
101.65
101.73
101.53
101.58
101.58
101.71
101.71
101.98
101.99
101.95
102.11
102.28
102.32
102.18
102.14
102.29
102.33

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.7086969201930.458891676273806
0.0293.922830685430.334066405910493
0.0394.10766693018260.225895243769184
0.0494.2361615991210.149265145953468
0.0594.31798789762180.103707892958349
0.0694.37172353791570.0870471302198953
0.0794.4128969588080.0957021827278692
0.0894.45217023689530.123107956178855
0.0994.49651142702090.164159134668864
0.194.55046060763580.215804433460403
0.1194.6169145993620.275548165086733
0.1294.69750279876590.340296368195517
0.1394.79271298098390.406065763352779
0.1494.90190919385790.468274397608857
0.1595.02335816797930.521931801032221
0.1695.15434842171850.562649195857317
0.1795.29144281937590.587316818918404
0.1895.43085483837230.594680059648477
0.1995.56889320809780.585996436868627
0.295.70239237758020.564074826789467
0.2195.82904528949930.533715255847641
0.2295.94757869830490.500016992570412
0.2396.05775014292590.46797996266811
0.2496.16018645631280.44133602881688
0.2596.2561147274520.422401217856731
0.2696.34705133948890.411605354728546
0.2796.43451242629450.40780424054368
0.2896.51979377358910.408691294153031
0.2996.60384606153020.4122503331668
0.396.68724862291880.416066639645147
0.3196.7702662815580.418989508141833
0.3296.85296193671290.420515535257143
0.3396.93533297823160.421034841328717
0.3497.01744147298290.421671762469534
0.3597.09951460508410.423851873724775
0.3697.18200100370510.429243934359479
0.3797.26557835986440.439620228457533
0.3897.35111646657620.455656350754041
0.3997.43960634300360.477813988049422
0.497.53206978130780.505999807588591
0.4197.6294643702350.539159458033192
0.4297.73259717091610.576015213218638
0.4397.84205651134510.615084862267409
0.4497.95816683949390.654742900253339
0.4598.08096729108390.69318499267995
0.4698.21021146023850.729206060811481
0.4798.34538428753280.761261851023896
0.4898.48573196746160.788346980732449
0.4998.63030181457170.809163029906852
0.598.77799031255860.823302354109372
0.5198.92759830493990.830417733025973
0.5299.07789197467530.830044204084045
0.5399.22766690741820.822640861444006
0.5499.37581065087490.808911321946741
0.5599.52135760046820.789968084766508
0.5699.66352958235480.766735831082087
0.5799.80175665159550.740868271305257
0.5899.93567530669790.713708349223562
0.59100.0651049205250.686160317384621
0.6100.1900067445370.65898785016744
0.61100.310432414420.632604637999311
0.62100.4264698796070.60698370514822
0.63100.538194051370.581865321066827
0.64100.6456276796750.556933939707319
0.65100.748715763930.53161729020578
0.66100.84731484990.505489680797216
0.67100.9411971991490.478090287173083
0.68101.030068949230.449264861811181
0.69101.113600637490.41860597367354
0.7101.1914674693440.386516074112239
0.71101.2633953973660.353140973538497
0.72101.3292077825940.31904829409727
0.73101.3888667648390.28514607510123
0.74101.4425040487310.252239503218018
0.75101.490437737250.221444913096345
0.76101.5331745510540.193538837983751
0.77101.5713991307830.1694590528354
0.78101.6059529325310.149764454126138
0.79101.6378039356530.135003044716318
0.8101.6680056410020.125493476637885
0.81101.697641554580.121211089705002
0.82101.72775195550.121918496951435
0.83101.7592448182730.126454197661366
0.84101.7928016236260.133437561085525
0.85101.8287979828120.140970957335735
0.86101.8672632822390.147298102186608
0.87101.907898386590.150957668204206
0.88101.9501546983950.151275375553329
0.89101.993355266650.148024068632301
0.9102.0368170973870.14182405304454
0.91102.0799237525780.133512001863862
0.92102.1221095527590.123744502383419
0.93102.1627579178410.112722221117927
0.94102.2010779962540.0999357047661289
0.95102.2360682432250.0846407060148127
0.96102.2666438711120.0668535702609781
0.97102.2918710191530.0480794599739437
0.98102.3111033738270.030582787264892
0.99102.3238868598440.0167830894461268

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.708696920193 & 0.458891676273806 \tabularnewline
0.02 & 93.92283068543 & 0.334066405910493 \tabularnewline
0.03 & 94.1076669301826 & 0.225895243769184 \tabularnewline
0.04 & 94.236161599121 & 0.149265145953468 \tabularnewline
0.05 & 94.3179878976218 & 0.103707892958349 \tabularnewline
0.06 & 94.3717235379157 & 0.0870471302198953 \tabularnewline
0.07 & 94.412896958808 & 0.0957021827278692 \tabularnewline
0.08 & 94.4521702368953 & 0.123107956178855 \tabularnewline
0.09 & 94.4965114270209 & 0.164159134668864 \tabularnewline
0.1 & 94.5504606076358 & 0.215804433460403 \tabularnewline
0.11 & 94.616914599362 & 0.275548165086733 \tabularnewline
0.12 & 94.6975027987659 & 0.340296368195517 \tabularnewline
0.13 & 94.7927129809839 & 0.406065763352779 \tabularnewline
0.14 & 94.9019091938579 & 0.468274397608857 \tabularnewline
0.15 & 95.0233581679793 & 0.521931801032221 \tabularnewline
0.16 & 95.1543484217185 & 0.562649195857317 \tabularnewline
0.17 & 95.2914428193759 & 0.587316818918404 \tabularnewline
0.18 & 95.4308548383723 & 0.594680059648477 \tabularnewline
0.19 & 95.5688932080978 & 0.585996436868627 \tabularnewline
0.2 & 95.7023923775802 & 0.564074826789467 \tabularnewline
0.21 & 95.8290452894993 & 0.533715255847641 \tabularnewline
0.22 & 95.9475786983049 & 0.500016992570412 \tabularnewline
0.23 & 96.0577501429259 & 0.46797996266811 \tabularnewline
0.24 & 96.1601864563128 & 0.44133602881688 \tabularnewline
0.25 & 96.256114727452 & 0.422401217856731 \tabularnewline
0.26 & 96.3470513394889 & 0.411605354728546 \tabularnewline
0.27 & 96.4345124262945 & 0.40780424054368 \tabularnewline
0.28 & 96.5197937735891 & 0.408691294153031 \tabularnewline
0.29 & 96.6038460615302 & 0.4122503331668 \tabularnewline
0.3 & 96.6872486229188 & 0.416066639645147 \tabularnewline
0.31 & 96.770266281558 & 0.418989508141833 \tabularnewline
0.32 & 96.8529619367129 & 0.420515535257143 \tabularnewline
0.33 & 96.9353329782316 & 0.421034841328717 \tabularnewline
0.34 & 97.0174414729829 & 0.421671762469534 \tabularnewline
0.35 & 97.0995146050841 & 0.423851873724775 \tabularnewline
0.36 & 97.1820010037051 & 0.429243934359479 \tabularnewline
0.37 & 97.2655783598644 & 0.439620228457533 \tabularnewline
0.38 & 97.3511164665762 & 0.455656350754041 \tabularnewline
0.39 & 97.4396063430036 & 0.477813988049422 \tabularnewline
0.4 & 97.5320697813078 & 0.505999807588591 \tabularnewline
0.41 & 97.629464370235 & 0.539159458033192 \tabularnewline
0.42 & 97.7325971709161 & 0.576015213218638 \tabularnewline
0.43 & 97.8420565113451 & 0.615084862267409 \tabularnewline
0.44 & 97.9581668394939 & 0.654742900253339 \tabularnewline
0.45 & 98.0809672910839 & 0.69318499267995 \tabularnewline
0.46 & 98.2102114602385 & 0.729206060811481 \tabularnewline
0.47 & 98.3453842875328 & 0.761261851023896 \tabularnewline
0.48 & 98.4857319674616 & 0.788346980732449 \tabularnewline
0.49 & 98.6303018145717 & 0.809163029906852 \tabularnewline
0.5 & 98.7779903125586 & 0.823302354109372 \tabularnewline
0.51 & 98.9275983049399 & 0.830417733025973 \tabularnewline
0.52 & 99.0778919746753 & 0.830044204084045 \tabularnewline
0.53 & 99.2276669074182 & 0.822640861444006 \tabularnewline
0.54 & 99.3758106508749 & 0.808911321946741 \tabularnewline
0.55 & 99.5213576004682 & 0.789968084766508 \tabularnewline
0.56 & 99.6635295823548 & 0.766735831082087 \tabularnewline
0.57 & 99.8017566515955 & 0.740868271305257 \tabularnewline
0.58 & 99.9356753066979 & 0.713708349223562 \tabularnewline
0.59 & 100.065104920525 & 0.686160317384621 \tabularnewline
0.6 & 100.190006744537 & 0.65898785016744 \tabularnewline
0.61 & 100.31043241442 & 0.632604637999311 \tabularnewline
0.62 & 100.426469879607 & 0.60698370514822 \tabularnewline
0.63 & 100.53819405137 & 0.581865321066827 \tabularnewline
0.64 & 100.645627679675 & 0.556933939707319 \tabularnewline
0.65 & 100.74871576393 & 0.53161729020578 \tabularnewline
0.66 & 100.8473148499 & 0.505489680797216 \tabularnewline
0.67 & 100.941197199149 & 0.478090287173083 \tabularnewline
0.68 & 101.03006894923 & 0.449264861811181 \tabularnewline
0.69 & 101.11360063749 & 0.41860597367354 \tabularnewline
0.7 & 101.191467469344 & 0.386516074112239 \tabularnewline
0.71 & 101.263395397366 & 0.353140973538497 \tabularnewline
0.72 & 101.329207782594 & 0.31904829409727 \tabularnewline
0.73 & 101.388866764839 & 0.28514607510123 \tabularnewline
0.74 & 101.442504048731 & 0.252239503218018 \tabularnewline
0.75 & 101.49043773725 & 0.221444913096345 \tabularnewline
0.76 & 101.533174551054 & 0.193538837983751 \tabularnewline
0.77 & 101.571399130783 & 0.1694590528354 \tabularnewline
0.78 & 101.605952932531 & 0.149764454126138 \tabularnewline
0.79 & 101.637803935653 & 0.135003044716318 \tabularnewline
0.8 & 101.668005641002 & 0.125493476637885 \tabularnewline
0.81 & 101.69764155458 & 0.121211089705002 \tabularnewline
0.82 & 101.7277519555 & 0.121918496951435 \tabularnewline
0.83 & 101.759244818273 & 0.126454197661366 \tabularnewline
0.84 & 101.792801623626 & 0.133437561085525 \tabularnewline
0.85 & 101.828797982812 & 0.140970957335735 \tabularnewline
0.86 & 101.867263282239 & 0.147298102186608 \tabularnewline
0.87 & 101.90789838659 & 0.150957668204206 \tabularnewline
0.88 & 101.950154698395 & 0.151275375553329 \tabularnewline
0.89 & 101.99335526665 & 0.148024068632301 \tabularnewline
0.9 & 102.036817097387 & 0.14182405304454 \tabularnewline
0.91 & 102.079923752578 & 0.133512001863862 \tabularnewline
0.92 & 102.122109552759 & 0.123744502383419 \tabularnewline
0.93 & 102.162757917841 & 0.112722221117927 \tabularnewline
0.94 & 102.201077996254 & 0.0999357047661289 \tabularnewline
0.95 & 102.236068243225 & 0.0846407060148127 \tabularnewline
0.96 & 102.266643871112 & 0.0668535702609781 \tabularnewline
0.97 & 102.291871019153 & 0.0480794599739437 \tabularnewline
0.98 & 102.311103373827 & 0.030582787264892 \tabularnewline
0.99 & 102.323886859844 & 0.0167830894461268 \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]93.708696920193[/C][C]0.458891676273806[/C][/ROW]
[ROW][C]0.02[/C][C]93.92283068543[/C][C]0.334066405910493[/C][/ROW]
[ROW][C]0.03[/C][C]94.1076669301826[/C][C]0.225895243769184[/C][/ROW]
[ROW][C]0.04[/C][C]94.236161599121[/C][C]0.149265145953468[/C][/ROW]
[ROW][C]0.05[/C][C]94.3179878976218[/C][C]0.103707892958349[/C][/ROW]
[ROW][C]0.06[/C][C]94.3717235379157[/C][C]0.0870471302198953[/C][/ROW]
[ROW][C]0.07[/C][C]94.412896958808[/C][C]0.0957021827278692[/C][/ROW]
[ROW][C]0.08[/C][C]94.4521702368953[/C][C]0.123107956178855[/C][/ROW]
[ROW][C]0.09[/C][C]94.4965114270209[/C][C]0.164159134668864[/C][/ROW]
[ROW][C]0.1[/C][C]94.5504606076358[/C][C]0.215804433460403[/C][/ROW]
[ROW][C]0.11[/C][C]94.616914599362[/C][C]0.275548165086733[/C][/ROW]
[ROW][C]0.12[/C][C]94.6975027987659[/C][C]0.340296368195517[/C][/ROW]
[ROW][C]0.13[/C][C]94.7927129809839[/C][C]0.406065763352779[/C][/ROW]
[ROW][C]0.14[/C][C]94.9019091938579[/C][C]0.468274397608857[/C][/ROW]
[ROW][C]0.15[/C][C]95.0233581679793[/C][C]0.521931801032221[/C][/ROW]
[ROW][C]0.16[/C][C]95.1543484217185[/C][C]0.562649195857317[/C][/ROW]
[ROW][C]0.17[/C][C]95.2914428193759[/C][C]0.587316818918404[/C][/ROW]
[ROW][C]0.18[/C][C]95.4308548383723[/C][C]0.594680059648477[/C][/ROW]
[ROW][C]0.19[/C][C]95.5688932080978[/C][C]0.585996436868627[/C][/ROW]
[ROW][C]0.2[/C][C]95.7023923775802[/C][C]0.564074826789467[/C][/ROW]
[ROW][C]0.21[/C][C]95.8290452894993[/C][C]0.533715255847641[/C][/ROW]
[ROW][C]0.22[/C][C]95.9475786983049[/C][C]0.500016992570412[/C][/ROW]
[ROW][C]0.23[/C][C]96.0577501429259[/C][C]0.46797996266811[/C][/ROW]
[ROW][C]0.24[/C][C]96.1601864563128[/C][C]0.44133602881688[/C][/ROW]
[ROW][C]0.25[/C][C]96.256114727452[/C][C]0.422401217856731[/C][/ROW]
[ROW][C]0.26[/C][C]96.3470513394889[/C][C]0.411605354728546[/C][/ROW]
[ROW][C]0.27[/C][C]96.4345124262945[/C][C]0.40780424054368[/C][/ROW]
[ROW][C]0.28[/C][C]96.5197937735891[/C][C]0.408691294153031[/C][/ROW]
[ROW][C]0.29[/C][C]96.6038460615302[/C][C]0.4122503331668[/C][/ROW]
[ROW][C]0.3[/C][C]96.6872486229188[/C][C]0.416066639645147[/C][/ROW]
[ROW][C]0.31[/C][C]96.770266281558[/C][C]0.418989508141833[/C][/ROW]
[ROW][C]0.32[/C][C]96.8529619367129[/C][C]0.420515535257143[/C][/ROW]
[ROW][C]0.33[/C][C]96.9353329782316[/C][C]0.421034841328717[/C][/ROW]
[ROW][C]0.34[/C][C]97.0174414729829[/C][C]0.421671762469534[/C][/ROW]
[ROW][C]0.35[/C][C]97.0995146050841[/C][C]0.423851873724775[/C][/ROW]
[ROW][C]0.36[/C][C]97.1820010037051[/C][C]0.429243934359479[/C][/ROW]
[ROW][C]0.37[/C][C]97.2655783598644[/C][C]0.439620228457533[/C][/ROW]
[ROW][C]0.38[/C][C]97.3511164665762[/C][C]0.455656350754041[/C][/ROW]
[ROW][C]0.39[/C][C]97.4396063430036[/C][C]0.477813988049422[/C][/ROW]
[ROW][C]0.4[/C][C]97.5320697813078[/C][C]0.505999807588591[/C][/ROW]
[ROW][C]0.41[/C][C]97.629464370235[/C][C]0.539159458033192[/C][/ROW]
[ROW][C]0.42[/C][C]97.7325971709161[/C][C]0.576015213218638[/C][/ROW]
[ROW][C]0.43[/C][C]97.8420565113451[/C][C]0.615084862267409[/C][/ROW]
[ROW][C]0.44[/C][C]97.9581668394939[/C][C]0.654742900253339[/C][/ROW]
[ROW][C]0.45[/C][C]98.0809672910839[/C][C]0.69318499267995[/C][/ROW]
[ROW][C]0.46[/C][C]98.2102114602385[/C][C]0.729206060811481[/C][/ROW]
[ROW][C]0.47[/C][C]98.3453842875328[/C][C]0.761261851023896[/C][/ROW]
[ROW][C]0.48[/C][C]98.4857319674616[/C][C]0.788346980732449[/C][/ROW]
[ROW][C]0.49[/C][C]98.6303018145717[/C][C]0.809163029906852[/C][/ROW]
[ROW][C]0.5[/C][C]98.7779903125586[/C][C]0.823302354109372[/C][/ROW]
[ROW][C]0.51[/C][C]98.9275983049399[/C][C]0.830417733025973[/C][/ROW]
[ROW][C]0.52[/C][C]99.0778919746753[/C][C]0.830044204084045[/C][/ROW]
[ROW][C]0.53[/C][C]99.2276669074182[/C][C]0.822640861444006[/C][/ROW]
[ROW][C]0.54[/C][C]99.3758106508749[/C][C]0.808911321946741[/C][/ROW]
[ROW][C]0.55[/C][C]99.5213576004682[/C][C]0.789968084766508[/C][/ROW]
[ROW][C]0.56[/C][C]99.6635295823548[/C][C]0.766735831082087[/C][/ROW]
[ROW][C]0.57[/C][C]99.8017566515955[/C][C]0.740868271305257[/C][/ROW]
[ROW][C]0.58[/C][C]99.9356753066979[/C][C]0.713708349223562[/C][/ROW]
[ROW][C]0.59[/C][C]100.065104920525[/C][C]0.686160317384621[/C][/ROW]
[ROW][C]0.6[/C][C]100.190006744537[/C][C]0.65898785016744[/C][/ROW]
[ROW][C]0.61[/C][C]100.31043241442[/C][C]0.632604637999311[/C][/ROW]
[ROW][C]0.62[/C][C]100.426469879607[/C][C]0.60698370514822[/C][/ROW]
[ROW][C]0.63[/C][C]100.53819405137[/C][C]0.581865321066827[/C][/ROW]
[ROW][C]0.64[/C][C]100.645627679675[/C][C]0.556933939707319[/C][/ROW]
[ROW][C]0.65[/C][C]100.74871576393[/C][C]0.53161729020578[/C][/ROW]
[ROW][C]0.66[/C][C]100.8473148499[/C][C]0.505489680797216[/C][/ROW]
[ROW][C]0.67[/C][C]100.941197199149[/C][C]0.478090287173083[/C][/ROW]
[ROW][C]0.68[/C][C]101.03006894923[/C][C]0.449264861811181[/C][/ROW]
[ROW][C]0.69[/C][C]101.11360063749[/C][C]0.41860597367354[/C][/ROW]
[ROW][C]0.7[/C][C]101.191467469344[/C][C]0.386516074112239[/C][/ROW]
[ROW][C]0.71[/C][C]101.263395397366[/C][C]0.353140973538497[/C][/ROW]
[ROW][C]0.72[/C][C]101.329207782594[/C][C]0.31904829409727[/C][/ROW]
[ROW][C]0.73[/C][C]101.388866764839[/C][C]0.28514607510123[/C][/ROW]
[ROW][C]0.74[/C][C]101.442504048731[/C][C]0.252239503218018[/C][/ROW]
[ROW][C]0.75[/C][C]101.49043773725[/C][C]0.221444913096345[/C][/ROW]
[ROW][C]0.76[/C][C]101.533174551054[/C][C]0.193538837983751[/C][/ROW]
[ROW][C]0.77[/C][C]101.571399130783[/C][C]0.1694590528354[/C][/ROW]
[ROW][C]0.78[/C][C]101.605952932531[/C][C]0.149764454126138[/C][/ROW]
[ROW][C]0.79[/C][C]101.637803935653[/C][C]0.135003044716318[/C][/ROW]
[ROW][C]0.8[/C][C]101.668005641002[/C][C]0.125493476637885[/C][/ROW]
[ROW][C]0.81[/C][C]101.69764155458[/C][C]0.121211089705002[/C][/ROW]
[ROW][C]0.82[/C][C]101.7277519555[/C][C]0.121918496951435[/C][/ROW]
[ROW][C]0.83[/C][C]101.759244818273[/C][C]0.126454197661366[/C][/ROW]
[ROW][C]0.84[/C][C]101.792801623626[/C][C]0.133437561085525[/C][/ROW]
[ROW][C]0.85[/C][C]101.828797982812[/C][C]0.140970957335735[/C][/ROW]
[ROW][C]0.86[/C][C]101.867263282239[/C][C]0.147298102186608[/C][/ROW]
[ROW][C]0.87[/C][C]101.90789838659[/C][C]0.150957668204206[/C][/ROW]
[ROW][C]0.88[/C][C]101.950154698395[/C][C]0.151275375553329[/C][/ROW]
[ROW][C]0.89[/C][C]101.99335526665[/C][C]0.148024068632301[/C][/ROW]
[ROW][C]0.9[/C][C]102.036817097387[/C][C]0.14182405304454[/C][/ROW]
[ROW][C]0.91[/C][C]102.079923752578[/C][C]0.133512001863862[/C][/ROW]
[ROW][C]0.92[/C][C]102.122109552759[/C][C]0.123744502383419[/C][/ROW]
[ROW][C]0.93[/C][C]102.162757917841[/C][C]0.112722221117927[/C][/ROW]
[ROW][C]0.94[/C][C]102.201077996254[/C][C]0.0999357047661289[/C][/ROW]
[ROW][C]0.95[/C][C]102.236068243225[/C][C]0.0846407060148127[/C][/ROW]
[ROW][C]0.96[/C][C]102.266643871112[/C][C]0.0668535702609781[/C][/ROW]
[ROW][C]0.97[/C][C]102.291871019153[/C][C]0.0480794599739437[/C][/ROW]
[ROW][C]0.98[/C][C]102.311103373827[/C][C]0.030582787264892[/C][/ROW]
[ROW][C]0.99[/C][C]102.323886859844[/C][C]0.0167830894461268[/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
0.0193.7086969201930.458891676273806
0.0293.922830685430.334066405910493
0.0394.10766693018260.225895243769184
0.0494.2361615991210.149265145953468
0.0594.31798789762180.103707892958349
0.0694.37172353791570.0870471302198953
0.0794.4128969588080.0957021827278692
0.0894.45217023689530.123107956178855
0.0994.49651142702090.164159134668864
0.194.55046060763580.215804433460403
0.1194.6169145993620.275548165086733
0.1294.69750279876590.340296368195517
0.1394.79271298098390.406065763352779
0.1494.90190919385790.468274397608857
0.1595.02335816797930.521931801032221
0.1695.15434842171850.562649195857317
0.1795.29144281937590.587316818918404
0.1895.43085483837230.594680059648477
0.1995.56889320809780.585996436868627
0.295.70239237758020.564074826789467
0.2195.82904528949930.533715255847641
0.2295.94757869830490.500016992570412
0.2396.05775014292590.46797996266811
0.2496.16018645631280.44133602881688
0.2596.2561147274520.422401217856731
0.2696.34705133948890.411605354728546
0.2796.43451242629450.40780424054368
0.2896.51979377358910.408691294153031
0.2996.60384606153020.4122503331668
0.396.68724862291880.416066639645147
0.3196.7702662815580.418989508141833
0.3296.85296193671290.420515535257143
0.3396.93533297823160.421034841328717
0.3497.01744147298290.421671762469534
0.3597.09951460508410.423851873724775
0.3697.18200100370510.429243934359479
0.3797.26557835986440.439620228457533
0.3897.35111646657620.455656350754041
0.3997.43960634300360.477813988049422
0.497.53206978130780.505999807588591
0.4197.6294643702350.539159458033192
0.4297.73259717091610.576015213218638
0.4397.84205651134510.615084862267409
0.4497.95816683949390.654742900253339
0.4598.08096729108390.69318499267995
0.4698.21021146023850.729206060811481
0.4798.34538428753280.761261851023896
0.4898.48573196746160.788346980732449
0.4998.63030181457170.809163029906852
0.598.77799031255860.823302354109372
0.5198.92759830493990.830417733025973
0.5299.07789197467530.830044204084045
0.5399.22766690741820.822640861444006
0.5499.37581065087490.808911321946741
0.5599.52135760046820.789968084766508
0.5699.66352958235480.766735831082087
0.5799.80175665159550.740868271305257
0.5899.93567530669790.713708349223562
0.59100.0651049205250.686160317384621
0.6100.1900067445370.65898785016744
0.61100.310432414420.632604637999311
0.62100.4264698796070.60698370514822
0.63100.538194051370.581865321066827
0.64100.6456276796750.556933939707319
0.65100.748715763930.53161729020578
0.66100.84731484990.505489680797216
0.67100.9411971991490.478090287173083
0.68101.030068949230.449264861811181
0.69101.113600637490.41860597367354
0.7101.1914674693440.386516074112239
0.71101.2633953973660.353140973538497
0.72101.3292077825940.31904829409727
0.73101.3888667648390.28514607510123
0.74101.4425040487310.252239503218018
0.75101.490437737250.221444913096345
0.76101.5331745510540.193538837983751
0.77101.5713991307830.1694590528354
0.78101.6059529325310.149764454126138
0.79101.6378039356530.135003044716318
0.8101.6680056410020.125493476637885
0.81101.697641554580.121211089705002
0.82101.72775195550.121918496951435
0.83101.7592448182730.126454197661366
0.84101.7928016236260.133437561085525
0.85101.8287979828120.140970957335735
0.86101.8672632822390.147298102186608
0.87101.907898386590.150957668204206
0.88101.9501546983950.151275375553329
0.89101.993355266650.148024068632301
0.9102.0368170973870.14182405304454
0.91102.0799237525780.133512001863862
0.92102.1221095527590.123744502383419
0.93102.1627579178410.112722221117927
0.94102.2010779962540.0999357047661289
0.95102.2360682432250.0846407060148127
0.96102.2666438711120.0668535702609781
0.97102.2918710191530.0480794599739437
0.98102.3111033738270.030582787264892
0.99102.3238868598440.0167830894461268


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 <- '0.90'
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')