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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, 24 Dec 2016 15:40:01 +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/2016/Dec/24/t1482594025w3pi4v5hdhqm0fh.htm/, Retrieved Sat, 27 Apr 2024 21:34:26 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 27 Apr 2024 21:34:26 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89.8
101.7
92.7
116.2
134.2
153.3
129.7
137.6
158.8
197.1
171.1
184.4
216.6
219.3
184.2
205.3
216.8
219.4
172.1
165.3
178.9
163
116.2
121.8
124.1
125.7
81.8
94.8
121.5
136.3
109.6
120.7
154.1
154.4
153.3
157.3
192.1
223
220.6
221.7
239.2
251.2
238.3
240.6
250.3
256.7
239.2
189.9
155.9
138.4
124.7
119.4
116
124.9
123.4
124.4
135.5
143.6
130.6
116.6
118.2
116.1
106
94.9
97.1
96.8
93.7
91
105.7
112.9
112.1
112.9
127
136.5
130.9
136.3

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'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 & 2 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]2 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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0184.09355761211576.16208275982528
0.0287.07277360571194.11852112647334
0.0389.54195051238322.78811822851411
0.0491.286520506232.25015216127519
0.0592.55181794823182.16153309591447
0.0693.59904304879132.31741197379574
0.0794.59511346494362.67540569404664
0.0895.63744539927893.21048420110099
0.0996.78361688180673.86095662218842
0.198.06203529553164.53811171540701
0.1199.47414106658795.14957374239023
0.12100.9974972383535.61993843383534
0.13102.5923845737715.90432120412845
0.14104.2106095791925.99140945082821
0.15105.8041698605315.89811510275714
0.16107.3319262699575.65994335317945
0.17108.7634839298895.32055201367403
0.18110.080436629144.92386800432681
0.19111.2756758065814.50953119258015
0.2112.3515848386914.11075110803826
0.21113.3177790060323.75340810586399
0.22114.1887974535853.456667090595
0.23114.9819409488583.23189597264595
0.24115.7153333597813.08240939213525
0.25116.4062557172453.00348327306039
0.26117.0698175026712.98257170458515
0.27117.7180460162413.00253226294425
0.28118.3594627666873.04475005487757
0.29118.9991690485663.09290419179182
0.3119.6393929775263.13507236652698
0.31120.2803786798863.16542594034839
0.32120.9214463014363.184136509742
0.33121.5620325811243.1970312096041
0.34122.2025388926533.21344095479593
0.35122.8448606154493.24473874481162
0.36123.4925368018693.30165506879129
0.37124.1505294198553.39197850280384
0.38124.8247055165633.51923525837226
0.39125.5211446059783.68127641131902
0.4126.2454211881583.87163195036904
0.41127.0020147573774.08052817054036
0.42127.7939757798094.29693922292815
0.43128.6229279674974.51214201399416
0.44129.4894206387824.72045603624283
0.45130.3935699399324.9215019141444
0.46131.3358574388925.12047886860113
0.47132.3179039397455.32835035703245
0.48133.34301909955.55881483958251
0.49134.4163529617545.82606547788724
0.5135.5445454978926.13969908318554
0.51136.734876077526.50183089540327
0.52137.9940372055276.90428628131824
0.53139.3267684037077.32895136632264
0.54140.7346567930697.75026836015959
0.55142.2154161690668.13986344700964
0.56143.7628851293388.47188161058343
0.57145.3678452482888.728079258478
0.58147.0195802996248.90396129680088
0.59148.7079192676829.00753868673102
0.6150.4253751036359.06182535769845
0.61152.1689443454699.10071661610002
0.62153.9411860784799.16262916893186
0.63155.7503429314539.28344740208061
0.64157.6094690515139.48940431371165
0.65159.5347427312059.79212185073257
0.66161.54331474356110.1859619754784
0.67163.65113738775410.6520001699532
0.68165.8712116801311.1628565100052
0.69168.21258009591311.689232516882
0.7170.68019884887712.204655191536
0.71173.27558284167112.6919096441294
0.72175.9978775875413.1426089451695
0.73178.84483476881913.5569713008767
0.74181.81311380749613.9383694782937
0.75184.89745294882214.2860392749469
0.76188.08857136191314.585991766911
0.77191.37014566108314.8071853873221
0.78194.71574598878514.8987269556081
0.79198.08704754535414.8003567896163
0.8201.43475073394214.4564718397392
0.81204.70327676754413.836301440493
0.82207.83939359030112.9521579808309
0.83210.80357704041611.8712169258955
0.84213.58142884266410.7148505065175
0.85216.191343554619.64573239543124
0.86218.6844541853328.83488586638442
0.87221.1343010353318.40326395741323
0.88223.6169909468798.34822959953647
0.89226.1874061749178.51585318682373
0.9228.861495010998.6614579704345
0.91231.6155484175468.56655101841032
0.92234.4071101422358.14837247884461
0.93237.2084196330157.51849524374386
0.94240.0294220271186.92833784210503
0.95242.9090093621526.54283960063247
0.96245.8805495708416.19553165882331
0.97248.9445227823345.57045460619232
0.98252.0355625520034.8343314072787
0.99254.8650958416724.81096306844613

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.0935576121157 & 6.16208275982528 \tabularnewline
0.02 & 87.0727736057119 & 4.11852112647334 \tabularnewline
0.03 & 89.5419505123832 & 2.78811822851411 \tabularnewline
0.04 & 91.28652050623 & 2.25015216127519 \tabularnewline
0.05 & 92.5518179482318 & 2.16153309591447 \tabularnewline
0.06 & 93.5990430487913 & 2.31741197379574 \tabularnewline
0.07 & 94.5951134649436 & 2.67540569404664 \tabularnewline
0.08 & 95.6374453992789 & 3.21048420110099 \tabularnewline
0.09 & 96.7836168818067 & 3.86095662218842 \tabularnewline
0.1 & 98.0620352955316 & 4.53811171540701 \tabularnewline
0.11 & 99.4741410665879 & 5.14957374239023 \tabularnewline
0.12 & 100.997497238353 & 5.61993843383534 \tabularnewline
0.13 & 102.592384573771 & 5.90432120412845 \tabularnewline
0.14 & 104.210609579192 & 5.99140945082821 \tabularnewline
0.15 & 105.804169860531 & 5.89811510275714 \tabularnewline
0.16 & 107.331926269957 & 5.65994335317945 \tabularnewline
0.17 & 108.763483929889 & 5.32055201367403 \tabularnewline
0.18 & 110.08043662914 & 4.92386800432681 \tabularnewline
0.19 & 111.275675806581 & 4.50953119258015 \tabularnewline
0.2 & 112.351584838691 & 4.11075110803826 \tabularnewline
0.21 & 113.317779006032 & 3.75340810586399 \tabularnewline
0.22 & 114.188797453585 & 3.456667090595 \tabularnewline
0.23 & 114.981940948858 & 3.23189597264595 \tabularnewline
0.24 & 115.715333359781 & 3.08240939213525 \tabularnewline
0.25 & 116.406255717245 & 3.00348327306039 \tabularnewline
0.26 & 117.069817502671 & 2.98257170458515 \tabularnewline
0.27 & 117.718046016241 & 3.00253226294425 \tabularnewline
0.28 & 118.359462766687 & 3.04475005487757 \tabularnewline
0.29 & 118.999169048566 & 3.09290419179182 \tabularnewline
0.3 & 119.639392977526 & 3.13507236652698 \tabularnewline
0.31 & 120.280378679886 & 3.16542594034839 \tabularnewline
0.32 & 120.921446301436 & 3.184136509742 \tabularnewline
0.33 & 121.562032581124 & 3.1970312096041 \tabularnewline
0.34 & 122.202538892653 & 3.21344095479593 \tabularnewline
0.35 & 122.844860615449 & 3.24473874481162 \tabularnewline
0.36 & 123.492536801869 & 3.30165506879129 \tabularnewline
0.37 & 124.150529419855 & 3.39197850280384 \tabularnewline
0.38 & 124.824705516563 & 3.51923525837226 \tabularnewline
0.39 & 125.521144605978 & 3.68127641131902 \tabularnewline
0.4 & 126.245421188158 & 3.87163195036904 \tabularnewline
0.41 & 127.002014757377 & 4.08052817054036 \tabularnewline
0.42 & 127.793975779809 & 4.29693922292815 \tabularnewline
0.43 & 128.622927967497 & 4.51214201399416 \tabularnewline
0.44 & 129.489420638782 & 4.72045603624283 \tabularnewline
0.45 & 130.393569939932 & 4.9215019141444 \tabularnewline
0.46 & 131.335857438892 & 5.12047886860113 \tabularnewline
0.47 & 132.317903939745 & 5.32835035703245 \tabularnewline
0.48 & 133.3430190995 & 5.55881483958251 \tabularnewline
0.49 & 134.416352961754 & 5.82606547788724 \tabularnewline
0.5 & 135.544545497892 & 6.13969908318554 \tabularnewline
0.51 & 136.73487607752 & 6.50183089540327 \tabularnewline
0.52 & 137.994037205527 & 6.90428628131824 \tabularnewline
0.53 & 139.326768403707 & 7.32895136632264 \tabularnewline
0.54 & 140.734656793069 & 7.75026836015959 \tabularnewline
0.55 & 142.215416169066 & 8.13986344700964 \tabularnewline
0.56 & 143.762885129338 & 8.47188161058343 \tabularnewline
0.57 & 145.367845248288 & 8.728079258478 \tabularnewline
0.58 & 147.019580299624 & 8.90396129680088 \tabularnewline
0.59 & 148.707919267682 & 9.00753868673102 \tabularnewline
0.6 & 150.425375103635 & 9.06182535769845 \tabularnewline
0.61 & 152.168944345469 & 9.10071661610002 \tabularnewline
0.62 & 153.941186078479 & 9.16262916893186 \tabularnewline
0.63 & 155.750342931453 & 9.28344740208061 \tabularnewline
0.64 & 157.609469051513 & 9.48940431371165 \tabularnewline
0.65 & 159.534742731205 & 9.79212185073257 \tabularnewline
0.66 & 161.543314743561 & 10.1859619754784 \tabularnewline
0.67 & 163.651137387754 & 10.6520001699532 \tabularnewline
0.68 & 165.87121168013 & 11.1628565100052 \tabularnewline
0.69 & 168.212580095913 & 11.689232516882 \tabularnewline
0.7 & 170.680198848877 & 12.204655191536 \tabularnewline
0.71 & 173.275582841671 & 12.6919096441294 \tabularnewline
0.72 & 175.99787758754 & 13.1426089451695 \tabularnewline
0.73 & 178.844834768819 & 13.5569713008767 \tabularnewline
0.74 & 181.813113807496 & 13.9383694782937 \tabularnewline
0.75 & 184.897452948822 & 14.2860392749469 \tabularnewline
0.76 & 188.088571361913 & 14.585991766911 \tabularnewline
0.77 & 191.370145661083 & 14.8071853873221 \tabularnewline
0.78 & 194.715745988785 & 14.8987269556081 \tabularnewline
0.79 & 198.087047545354 & 14.8003567896163 \tabularnewline
0.8 & 201.434750733942 & 14.4564718397392 \tabularnewline
0.81 & 204.703276767544 & 13.836301440493 \tabularnewline
0.82 & 207.839393590301 & 12.9521579808309 \tabularnewline
0.83 & 210.803577040416 & 11.8712169258955 \tabularnewline
0.84 & 213.581428842664 & 10.7148505065175 \tabularnewline
0.85 & 216.19134355461 & 9.64573239543124 \tabularnewline
0.86 & 218.684454185332 & 8.83488586638442 \tabularnewline
0.87 & 221.134301035331 & 8.40326395741323 \tabularnewline
0.88 & 223.616990946879 & 8.34822959953647 \tabularnewline
0.89 & 226.187406174917 & 8.51585318682373 \tabularnewline
0.9 & 228.86149501099 & 8.6614579704345 \tabularnewline
0.91 & 231.615548417546 & 8.56655101841032 \tabularnewline
0.92 & 234.407110142235 & 8.14837247884461 \tabularnewline
0.93 & 237.208419633015 & 7.51849524374386 \tabularnewline
0.94 & 240.029422027118 & 6.92833784210503 \tabularnewline
0.95 & 242.909009362152 & 6.54283960063247 \tabularnewline
0.96 & 245.880549570841 & 6.19553165882331 \tabularnewline
0.97 & 248.944522782334 & 5.57045460619232 \tabularnewline
0.98 & 252.035562552003 & 4.8343314072787 \tabularnewline
0.99 & 254.865095841672 & 4.81096306844613 \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]84.0935576121157[/C][C]6.16208275982528[/C][/ROW]
[ROW][C]0.02[/C][C]87.0727736057119[/C][C]4.11852112647334[/C][/ROW]
[ROW][C]0.03[/C][C]89.5419505123832[/C][C]2.78811822851411[/C][/ROW]
[ROW][C]0.04[/C][C]91.28652050623[/C][C]2.25015216127519[/C][/ROW]
[ROW][C]0.05[/C][C]92.5518179482318[/C][C]2.16153309591447[/C][/ROW]
[ROW][C]0.06[/C][C]93.5990430487913[/C][C]2.31741197379574[/C][/ROW]
[ROW][C]0.07[/C][C]94.5951134649436[/C][C]2.67540569404664[/C][/ROW]
[ROW][C]0.08[/C][C]95.6374453992789[/C][C]3.21048420110099[/C][/ROW]
[ROW][C]0.09[/C][C]96.7836168818067[/C][C]3.86095662218842[/C][/ROW]
[ROW][C]0.1[/C][C]98.0620352955316[/C][C]4.53811171540701[/C][/ROW]
[ROW][C]0.11[/C][C]99.4741410665879[/C][C]5.14957374239023[/C][/ROW]
[ROW][C]0.12[/C][C]100.997497238353[/C][C]5.61993843383534[/C][/ROW]
[ROW][C]0.13[/C][C]102.592384573771[/C][C]5.90432120412845[/C][/ROW]
[ROW][C]0.14[/C][C]104.210609579192[/C][C]5.99140945082821[/C][/ROW]
[ROW][C]0.15[/C][C]105.804169860531[/C][C]5.89811510275714[/C][/ROW]
[ROW][C]0.16[/C][C]107.331926269957[/C][C]5.65994335317945[/C][/ROW]
[ROW][C]0.17[/C][C]108.763483929889[/C][C]5.32055201367403[/C][/ROW]
[ROW][C]0.18[/C][C]110.08043662914[/C][C]4.92386800432681[/C][/ROW]
[ROW][C]0.19[/C][C]111.275675806581[/C][C]4.50953119258015[/C][/ROW]
[ROW][C]0.2[/C][C]112.351584838691[/C][C]4.11075110803826[/C][/ROW]
[ROW][C]0.21[/C][C]113.317779006032[/C][C]3.75340810586399[/C][/ROW]
[ROW][C]0.22[/C][C]114.188797453585[/C][C]3.456667090595[/C][/ROW]
[ROW][C]0.23[/C][C]114.981940948858[/C][C]3.23189597264595[/C][/ROW]
[ROW][C]0.24[/C][C]115.715333359781[/C][C]3.08240939213525[/C][/ROW]
[ROW][C]0.25[/C][C]116.406255717245[/C][C]3.00348327306039[/C][/ROW]
[ROW][C]0.26[/C][C]117.069817502671[/C][C]2.98257170458515[/C][/ROW]
[ROW][C]0.27[/C][C]117.718046016241[/C][C]3.00253226294425[/C][/ROW]
[ROW][C]0.28[/C][C]118.359462766687[/C][C]3.04475005487757[/C][/ROW]
[ROW][C]0.29[/C][C]118.999169048566[/C][C]3.09290419179182[/C][/ROW]
[ROW][C]0.3[/C][C]119.639392977526[/C][C]3.13507236652698[/C][/ROW]
[ROW][C]0.31[/C][C]120.280378679886[/C][C]3.16542594034839[/C][/ROW]
[ROW][C]0.32[/C][C]120.921446301436[/C][C]3.184136509742[/C][/ROW]
[ROW][C]0.33[/C][C]121.562032581124[/C][C]3.1970312096041[/C][/ROW]
[ROW][C]0.34[/C][C]122.202538892653[/C][C]3.21344095479593[/C][/ROW]
[ROW][C]0.35[/C][C]122.844860615449[/C][C]3.24473874481162[/C][/ROW]
[ROW][C]0.36[/C][C]123.492536801869[/C][C]3.30165506879129[/C][/ROW]
[ROW][C]0.37[/C][C]124.150529419855[/C][C]3.39197850280384[/C][/ROW]
[ROW][C]0.38[/C][C]124.824705516563[/C][C]3.51923525837226[/C][/ROW]
[ROW][C]0.39[/C][C]125.521144605978[/C][C]3.68127641131902[/C][/ROW]
[ROW][C]0.4[/C][C]126.245421188158[/C][C]3.87163195036904[/C][/ROW]
[ROW][C]0.41[/C][C]127.002014757377[/C][C]4.08052817054036[/C][/ROW]
[ROW][C]0.42[/C][C]127.793975779809[/C][C]4.29693922292815[/C][/ROW]
[ROW][C]0.43[/C][C]128.622927967497[/C][C]4.51214201399416[/C][/ROW]
[ROW][C]0.44[/C][C]129.489420638782[/C][C]4.72045603624283[/C][/ROW]
[ROW][C]0.45[/C][C]130.393569939932[/C][C]4.9215019141444[/C][/ROW]
[ROW][C]0.46[/C][C]131.335857438892[/C][C]5.12047886860113[/C][/ROW]
[ROW][C]0.47[/C][C]132.317903939745[/C][C]5.32835035703245[/C][/ROW]
[ROW][C]0.48[/C][C]133.3430190995[/C][C]5.55881483958251[/C][/ROW]
[ROW][C]0.49[/C][C]134.416352961754[/C][C]5.82606547788724[/C][/ROW]
[ROW][C]0.5[/C][C]135.544545497892[/C][C]6.13969908318554[/C][/ROW]
[ROW][C]0.51[/C][C]136.73487607752[/C][C]6.50183089540327[/C][/ROW]
[ROW][C]0.52[/C][C]137.994037205527[/C][C]6.90428628131824[/C][/ROW]
[ROW][C]0.53[/C][C]139.326768403707[/C][C]7.32895136632264[/C][/ROW]
[ROW][C]0.54[/C][C]140.734656793069[/C][C]7.75026836015959[/C][/ROW]
[ROW][C]0.55[/C][C]142.215416169066[/C][C]8.13986344700964[/C][/ROW]
[ROW][C]0.56[/C][C]143.762885129338[/C][C]8.47188161058343[/C][/ROW]
[ROW][C]0.57[/C][C]145.367845248288[/C][C]8.728079258478[/C][/ROW]
[ROW][C]0.58[/C][C]147.019580299624[/C][C]8.90396129680088[/C][/ROW]
[ROW][C]0.59[/C][C]148.707919267682[/C][C]9.00753868673102[/C][/ROW]
[ROW][C]0.6[/C][C]150.425375103635[/C][C]9.06182535769845[/C][/ROW]
[ROW][C]0.61[/C][C]152.168944345469[/C][C]9.10071661610002[/C][/ROW]
[ROW][C]0.62[/C][C]153.941186078479[/C][C]9.16262916893186[/C][/ROW]
[ROW][C]0.63[/C][C]155.750342931453[/C][C]9.28344740208061[/C][/ROW]
[ROW][C]0.64[/C][C]157.609469051513[/C][C]9.48940431371165[/C][/ROW]
[ROW][C]0.65[/C][C]159.534742731205[/C][C]9.79212185073257[/C][/ROW]
[ROW][C]0.66[/C][C]161.543314743561[/C][C]10.1859619754784[/C][/ROW]
[ROW][C]0.67[/C][C]163.651137387754[/C][C]10.6520001699532[/C][/ROW]
[ROW][C]0.68[/C][C]165.87121168013[/C][C]11.1628565100052[/C][/ROW]
[ROW][C]0.69[/C][C]168.212580095913[/C][C]11.689232516882[/C][/ROW]
[ROW][C]0.7[/C][C]170.680198848877[/C][C]12.204655191536[/C][/ROW]
[ROW][C]0.71[/C][C]173.275582841671[/C][C]12.6919096441294[/C][/ROW]
[ROW][C]0.72[/C][C]175.99787758754[/C][C]13.1426089451695[/C][/ROW]
[ROW][C]0.73[/C][C]178.844834768819[/C][C]13.5569713008767[/C][/ROW]
[ROW][C]0.74[/C][C]181.813113807496[/C][C]13.9383694782937[/C][/ROW]
[ROW][C]0.75[/C][C]184.897452948822[/C][C]14.2860392749469[/C][/ROW]
[ROW][C]0.76[/C][C]188.088571361913[/C][C]14.585991766911[/C][/ROW]
[ROW][C]0.77[/C][C]191.370145661083[/C][C]14.8071853873221[/C][/ROW]
[ROW][C]0.78[/C][C]194.715745988785[/C][C]14.8987269556081[/C][/ROW]
[ROW][C]0.79[/C][C]198.087047545354[/C][C]14.8003567896163[/C][/ROW]
[ROW][C]0.8[/C][C]201.434750733942[/C][C]14.4564718397392[/C][/ROW]
[ROW][C]0.81[/C][C]204.703276767544[/C][C]13.836301440493[/C][/ROW]
[ROW][C]0.82[/C][C]207.839393590301[/C][C]12.9521579808309[/C][/ROW]
[ROW][C]0.83[/C][C]210.803577040416[/C][C]11.8712169258955[/C][/ROW]
[ROW][C]0.84[/C][C]213.581428842664[/C][C]10.7148505065175[/C][/ROW]
[ROW][C]0.85[/C][C]216.19134355461[/C][C]9.64573239543124[/C][/ROW]
[ROW][C]0.86[/C][C]218.684454185332[/C][C]8.83488586638442[/C][/ROW]
[ROW][C]0.87[/C][C]221.134301035331[/C][C]8.40326395741323[/C][/ROW]
[ROW][C]0.88[/C][C]223.616990946879[/C][C]8.34822959953647[/C][/ROW]
[ROW][C]0.89[/C][C]226.187406174917[/C][C]8.51585318682373[/C][/ROW]
[ROW][C]0.9[/C][C]228.86149501099[/C][C]8.6614579704345[/C][/ROW]
[ROW][C]0.91[/C][C]231.615548417546[/C][C]8.56655101841032[/C][/ROW]
[ROW][C]0.92[/C][C]234.407110142235[/C][C]8.14837247884461[/C][/ROW]
[ROW][C]0.93[/C][C]237.208419633015[/C][C]7.51849524374386[/C][/ROW]
[ROW][C]0.94[/C][C]240.029422027118[/C][C]6.92833784210503[/C][/ROW]
[ROW][C]0.95[/C][C]242.909009362152[/C][C]6.54283960063247[/C][/ROW]
[ROW][C]0.96[/C][C]245.880549570841[/C][C]6.19553165882331[/C][/ROW]
[ROW][C]0.97[/C][C]248.944522782334[/C][C]5.57045460619232[/C][/ROW]
[ROW][C]0.98[/C][C]252.035562552003[/C][C]4.8343314072787[/C][/ROW]
[ROW][C]0.99[/C][C]254.865095841672[/C][C]4.81096306844613[/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
0.0184.09355761211576.16208275982528
0.0287.07277360571194.11852112647334
0.0389.54195051238322.78811822851411
0.0491.286520506232.25015216127519
0.0592.55181794823182.16153309591447
0.0693.59904304879132.31741197379574
0.0794.59511346494362.67540569404664
0.0895.63744539927893.21048420110099
0.0996.78361688180673.86095662218842
0.198.06203529553164.53811171540701
0.1199.47414106658795.14957374239023
0.12100.9974972383535.61993843383534
0.13102.5923845737715.90432120412845
0.14104.2106095791925.99140945082821
0.15105.8041698605315.89811510275714
0.16107.3319262699575.65994335317945
0.17108.7634839298895.32055201367403
0.18110.080436629144.92386800432681
0.19111.2756758065814.50953119258015
0.2112.3515848386914.11075110803826
0.21113.3177790060323.75340810586399
0.22114.1887974535853.456667090595
0.23114.9819409488583.23189597264595
0.24115.7153333597813.08240939213525
0.25116.4062557172453.00348327306039
0.26117.0698175026712.98257170458515
0.27117.7180460162413.00253226294425
0.28118.3594627666873.04475005487757
0.29118.9991690485663.09290419179182
0.3119.6393929775263.13507236652698
0.31120.2803786798863.16542594034839
0.32120.9214463014363.184136509742
0.33121.5620325811243.1970312096041
0.34122.2025388926533.21344095479593
0.35122.8448606154493.24473874481162
0.36123.4925368018693.30165506879129
0.37124.1505294198553.39197850280384
0.38124.8247055165633.51923525837226
0.39125.5211446059783.68127641131902
0.4126.2454211881583.87163195036904
0.41127.0020147573774.08052817054036
0.42127.7939757798094.29693922292815
0.43128.6229279674974.51214201399416
0.44129.4894206387824.72045603624283
0.45130.3935699399324.9215019141444
0.46131.3358574388925.12047886860113
0.47132.3179039397455.32835035703245
0.48133.34301909955.55881483958251
0.49134.4163529617545.82606547788724
0.5135.5445454978926.13969908318554
0.51136.734876077526.50183089540327
0.52137.9940372055276.90428628131824
0.53139.3267684037077.32895136632264
0.54140.7346567930697.75026836015959
0.55142.2154161690668.13986344700964
0.56143.7628851293388.47188161058343
0.57145.3678452482888.728079258478
0.58147.0195802996248.90396129680088
0.59148.7079192676829.00753868673102
0.6150.4253751036359.06182535769845
0.61152.1689443454699.10071661610002
0.62153.9411860784799.16262916893186
0.63155.7503429314539.28344740208061
0.64157.6094690515139.48940431371165
0.65159.5347427312059.79212185073257
0.66161.54331474356110.1859619754784
0.67163.65113738775410.6520001699532
0.68165.8712116801311.1628565100052
0.69168.21258009591311.689232516882
0.7170.68019884887712.204655191536
0.71173.27558284167112.6919096441294
0.72175.9978775875413.1426089451695
0.73178.84483476881913.5569713008767
0.74181.81311380749613.9383694782937
0.75184.89745294882214.2860392749469
0.76188.08857136191314.585991766911
0.77191.37014566108314.8071853873221
0.78194.71574598878514.8987269556081
0.79198.08704754535414.8003567896163
0.8201.43475073394214.4564718397392
0.81204.70327676754413.836301440493
0.82207.83939359030112.9521579808309
0.83210.80357704041611.8712169258955
0.84213.58142884266410.7148505065175
0.85216.191343554619.64573239543124
0.86218.6844541853328.83488586638442
0.87221.1343010353318.40326395741323
0.88223.6169909468798.34822959953647
0.89226.1874061749178.51585318682373
0.9228.861495010998.6614579704345
0.91231.6155484175468.56655101841032
0.92234.4071101422358.14837247884461
0.93237.2084196330157.51849524374386
0.94240.0294220271186.92833784210503
0.95242.9090093621526.54283960063247
0.96245.8805495708416.19553165882331
0.97248.9445227823345.57045460619232
0.98252.0355625520034.8343314072787
0.99254.8650958416724.81096306844613


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')