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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 04 Dec 2009 11:24:21 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/04/t1259951195r29eoxvttj2fv30.htm/, Retrieved Sat, 27 Apr 2024 15:06:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64006, Retrieved Sat, 27 Apr 2024 15:06:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [ARIMA Backward Selection] [] [2009-11-27 14:53:14] [b98453cac15ba1066b407e146608df68]
- RMPD    [Harrell-Davis Quantiles] [] [2009-12-03 09:37:14] [e2ae2d788de9b949efa455f763351347]
- R  D        [Harrell-Davis Quantiles] [Harrel Davis] [2009-12-04 18:24:21] [b1ac221d009d6e5c29a4ef1869874933] [Current]
-    D          [Harrell-Davis Quantiles] [] [2009-12-20 12:31:44] [875a981b2b01315c1c471abd4dd66675]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89.6
92.8
107.6
104.6
103
106.9
56.3
93.4
109.1
113.8
97.4
72.5
82.7
88.9
105.9
100.8
94
105
58.5
87.6
113.1
112.5
89.6
74.5
82.7
90.1
109.4
96
89.2
109.1
49.1
92.9
107.7
103.5
91.1
79.8
71.9
82.9
90.1
100.7
90.7
108.8
44.1
93.6
107.4
96.5
93.6
76.5
76.7
84
103.3
88.5
99
105.9
44.7
94
107.1
104.8
102.5
77.7
85.2
91.3
106.5
92.4
97.5
107
51.1
98.6
102.2
114.3
99.4
72.5
92.3

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64006&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64006&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64006&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0144.72175807131181.71534179452408
0.01545.30923349550662.50424285686293
0.0246.07545039445323.28831872343435
0.02547.00245245613064.02315471219069
0.0348.06841885684694.70655041457231
0.03549.25171148136115.35461671028407
0.0450.53290690072905.98118038360799
0.04551.89512877131856.5868143748915
0.0553.32329416162477.157633180313
0.05554.80294003614167.66997289943316
0.0656.31917290325268.0969766819835
0.06557.85607382362568.41436912913682
0.0759.39667233471958.60484179549085
0.07560.92342958292958.66020083284804
0.0862.41906586067878.58211276659804
0.08563.8675295299278.3814172891483
0.0965.25491777741288.07667075048881
0.09566.57020489150277.6917418825994
0.167.80569228747327.25316726584192
0.10568.9571522201586.78782856702036
0.1170.02368497813886.32079720741366
0.11571.00734288806725.87357642125031
0.1271.91259276368835.46309293971261
0.12572.74569306188175.10092825705204
0.1373.51405595924034.79342852222825
0.13574.22565144318224.54206615101374
0.1474.88849386889234.34403165580207
0.14575.51023429322124.19384875086762
0.1576.09786649878784.08389487639143
0.15576.65754233859124.00639751378005
0.1677.19448343427533.95317862864858
0.16577.7129712814543.91726611903681
0.1778.21639595294923.89269904325717
0.17578.70734411932283.87448643063022
0.1879.18770924626853.85864296664026
0.18579.65880986945943.8428371064271
0.1980.12150521619413.82489241426909
0.19580.57630072755463.80396467666889
0.281.02343897465433.77920134517149
0.20581.46297392189613.75028511065420
0.2181.89482842282553.71739609967676
0.21582.31883625163233.68039827836679
0.2282.73477091928463.63931593970935
0.22583.14236405633793.59401745819182
0.2383.54131632852573.54435833934922
0.23583.93130375099253.49017039860228
0.2484.31198194661453.43084914500330
0.24584.68299041654113.36615000649777
0.2585.04395831877683.29594260063513
0.25585.39451264240563.2197550077393
0.2685.734289074983.13755958178436
0.26586.06294533496553.04973072202269
0.2786.38017631595652.95639884715685
0.27586.6857300883982.85835869807735
0.2886.9794236384782.75641585343368
0.28587.26115719060132.65164124468589
0.2987.53092604620652.54518066775978
0.29587.78882905561192.43844735086985
0.388.0350730933932.33292122537914
0.30588.26997320130222.22975107393923
0.3188.49394836633422.13052506760096
0.31588.70751318871022.03630285825273
0.3288.91126594384151.94812586878817
0.32589.10587373835481.86698495299405
0.3389.29205559418781.79339816598819
0.33589.47056436388931.72784698674338
0.3489.642168387311.67042000587461
0.34589.80763375177551.62111198996975
0.3589.967707924451.57946528530506
0.35590.12310539841111.54508365068990
0.3690.27449584486351.51734354211387
0.36590.4224951042891.49525148546162
0.3790.56765918926141.47842375813131
0.37590.71048131952771.46572347912632
0.3890.85139187223261.45629768380946
0.38590.99076101137251.44963055153382
0.3991.12890366346511.44528918595569
0.39591.26608643225881.44240435691361
0.491.4025359941171.44076284614880
0.40591.53844848663141.44002577583365
0.4191.67399939457741.44030153059143
0.41591.8093534476741.44149815781021
0.4291.9446740717081.44371032260296
0.42592.08013197630671.44724247330397
0.4392.2159125168221.45250478638533
0.43592.35222153228671.45962015621379
0.4492.48928943396731.46935143208816
0.44592.62737339743221.48196655619065
0.4592.76675759284081.49797919282740
0.45592.90775147083471.51774553333765
0.4693.05068620228131.54161998355456
0.46593.195909446411.56978966901011
0.4793.34377869075921.60233143735335
0.47593.49465346505921.63924876727857
0.4893.6488867771341.68043998725581
0.48593.80681614989921.72542780582144
0.4993.9687546528361.77393632620824
0.49594.13498231790221.82560934336603
0.594.30573830845651.87951719620339
0.50594.4812141710781.93491428582887
0.5194.66154844576631.99142594153796
0.51594.84682284246722.04800433969599
0.5295.03706011452532.10400275875281
0.52595.23222367662792.15858218711358
0.5395.43221893056832.21110285083055
0.53595.63689618146962.26099932006088
0.5495.84605495458322.30777382478394
0.54596.05944946260712.35074999247106
0.5596.27679492912882.38983413021284
0.55596.49777444778562.42456346117964
0.5696.7220460503542.45491240092301
0.56596.9492496702542.48067856436317
0.5797.17901371955852.50188502262190
0.57597.4109610450092.51861542135756
0.5897.64471408808732.53098976811648
0.58597.87989914148282.53915204520438
0.5998.1161496643372.54336761213340
0.59598.3531086864092.54355188339545
0.698.59043039193922.54020702894716
0.60598.82778102329272.53324126826339
0.6199.06483927914872.52294816793359
0.61599.30129639995862.50931010822107
0.6299.53685613383242.49261965365454
0.62599.77123475954772.47284565857416
0.63100.0041613118962.45014308656011
0.635100.2353781111932.42459426425356
0.64100.4646416474502.39633184143385
0.645100.6917238149372.36550678760728
0.65100.9164134395222.33236544024023
0.655101.1385179936292.29680309356155
0.66101.3578653560692.25940196329127
0.665101.5743054493882.22024361684311
0.67101.7877115777272.17966816027493
0.675101.9979812942832.13790267596306
0.68102.2050366486972.09534314603875
0.685102.4088236993182.05226013653359
0.69102.6093112205732.00904322080421
0.695102.8064885880371.96586611975766
0.7103.0003628794711.92303871822822
0.705103.1909552850181.88073813533719
0.71103.3782969703421.83893655979025
0.715103.5624245797231.79799774103972
0.72103.7433755996081.75770585661175
0.725103.9211838255081.71800946465705
0.73104.0958751858381.6789730765307
0.735104.2674641754391.64036406965104
0.74104.4359511398321.60199578935165
0.745104.6013206296131.56361970821668
0.75104.7635410137601.52504913217396
0.755104.9225655016801.48617675032818
0.76105.0783346768421.446729966924
0.765105.2307805897391.40671000262019
0.77105.3798323941221.36592249393089
0.775105.5254234376241.32435099406277
0.78105.6674996356821.28210759701632
0.785105.8060288670721.23934792861983
0.79105.9410110326881.19627792659221
0.795106.0724883212731.15325137903934
0.8106.2005551344861.11069770218285
0.805106.3253670504211.06919238111847
0.81106.4471481647231.02926874701854
0.815106.5661961606640.99162008471918
0.82106.6828845448590.957004089264352
0.825106.7976616649840.926087743591734
0.83106.9110464169050.899573641777908
0.835107.0236209589970.878100730997316
0.84107.1360212724520.862072958557879
0.845107.2489270046680.851804225988002
0.85107.3630526421490.847264696251166
0.855107.4791425742090.848290215788149
0.86107.5979728834500.854488943455878
0.865107.7203625544210.865309071973524
0.87107.8471960361770.880378802007139
0.875107.9794575585760.899320419176487
0.88108.1182751933020.92225971701555
0.885108.2649694194750.949809686322584
0.89108.4210971672240.983208613678884
0.895108.5884785127121.02440377326243
0.9108.7691902244931.07555793457837
0.905108.9655093020611.1390380483448
0.91109.1797916946351.21625868511910
0.915109.4142775732021.30714945492583
0.92109.6708253561931.40930722873324
0.925109.9505917142161.51754184062421
0.93110.2536922315741.62398775896145
0.935110.5788939912481.71853087037466
0.94110.9234024036991.78973910462127
0.945111.2828046600281.8265085366183
0.95111.6512161271861.81951776135678
0.955112.0216406649521.76318530287732
0.96112.3865022465861.65703595803783
0.965112.7382413550441.50653365828832
0.97113.0698134697181.32285488445125
0.975113.3749092520641.12196654071958
0.98113.6477784937030.92300227129504
0.985113.8827222728000.746493567548907
0.99114.0736238724130.61166082963372

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 44.7217580713118 & 1.71534179452408 \tabularnewline
0.015 & 45.3092334955066 & 2.50424285686293 \tabularnewline
0.02 & 46.0754503944532 & 3.28831872343435 \tabularnewline
0.025 & 47.0024524561306 & 4.02315471219069 \tabularnewline
0.03 & 48.0684188568469 & 4.70655041457231 \tabularnewline
0.035 & 49.2517114813611 & 5.35461671028407 \tabularnewline
0.04 & 50.5329069007290 & 5.98118038360799 \tabularnewline
0.045 & 51.8951287713185 & 6.5868143748915 \tabularnewline
0.05 & 53.3232941616247 & 7.157633180313 \tabularnewline
0.055 & 54.8029400361416 & 7.66997289943316 \tabularnewline
0.06 & 56.3191729032526 & 8.0969766819835 \tabularnewline
0.065 & 57.8560738236256 & 8.41436912913682 \tabularnewline
0.07 & 59.3966723347195 & 8.60484179549085 \tabularnewline
0.075 & 60.9234295829295 & 8.66020083284804 \tabularnewline
0.08 & 62.4190658606787 & 8.58211276659804 \tabularnewline
0.085 & 63.867529529927 & 8.3814172891483 \tabularnewline
0.09 & 65.2549177774128 & 8.07667075048881 \tabularnewline
0.095 & 66.5702048915027 & 7.6917418825994 \tabularnewline
0.1 & 67.8056922874732 & 7.25316726584192 \tabularnewline
0.105 & 68.957152220158 & 6.78782856702036 \tabularnewline
0.11 & 70.0236849781388 & 6.32079720741366 \tabularnewline
0.115 & 71.0073428880672 & 5.87357642125031 \tabularnewline
0.12 & 71.9125927636883 & 5.46309293971261 \tabularnewline
0.125 & 72.7456930618817 & 5.10092825705204 \tabularnewline
0.13 & 73.5140559592403 & 4.79342852222825 \tabularnewline
0.135 & 74.2256514431822 & 4.54206615101374 \tabularnewline
0.14 & 74.8884938688923 & 4.34403165580207 \tabularnewline
0.145 & 75.5102342932212 & 4.19384875086762 \tabularnewline
0.15 & 76.0978664987878 & 4.08389487639143 \tabularnewline
0.155 & 76.6575423385912 & 4.00639751378005 \tabularnewline
0.16 & 77.1944834342753 & 3.95317862864858 \tabularnewline
0.165 & 77.712971281454 & 3.91726611903681 \tabularnewline
0.17 & 78.2163959529492 & 3.89269904325717 \tabularnewline
0.175 & 78.7073441193228 & 3.87448643063022 \tabularnewline
0.18 & 79.1877092462685 & 3.85864296664026 \tabularnewline
0.185 & 79.6588098694594 & 3.8428371064271 \tabularnewline
0.19 & 80.1215052161941 & 3.82489241426909 \tabularnewline
0.195 & 80.5763007275546 & 3.80396467666889 \tabularnewline
0.2 & 81.0234389746543 & 3.77920134517149 \tabularnewline
0.205 & 81.4629739218961 & 3.75028511065420 \tabularnewline
0.21 & 81.8948284228255 & 3.71739609967676 \tabularnewline
0.215 & 82.3188362516323 & 3.68039827836679 \tabularnewline
0.22 & 82.7347709192846 & 3.63931593970935 \tabularnewline
0.225 & 83.1423640563379 & 3.59401745819182 \tabularnewline
0.23 & 83.5413163285257 & 3.54435833934922 \tabularnewline
0.235 & 83.9313037509925 & 3.49017039860228 \tabularnewline
0.24 & 84.3119819466145 & 3.43084914500330 \tabularnewline
0.245 & 84.6829904165411 & 3.36615000649777 \tabularnewline
0.25 & 85.0439583187768 & 3.29594260063513 \tabularnewline
0.255 & 85.3945126424056 & 3.2197550077393 \tabularnewline
0.26 & 85.73428907498 & 3.13755958178436 \tabularnewline
0.265 & 86.0629453349655 & 3.04973072202269 \tabularnewline
0.27 & 86.3801763159565 & 2.95639884715685 \tabularnewline
0.275 & 86.685730088398 & 2.85835869807735 \tabularnewline
0.28 & 86.979423638478 & 2.75641585343368 \tabularnewline
0.285 & 87.2611571906013 & 2.65164124468589 \tabularnewline
0.29 & 87.5309260462065 & 2.54518066775978 \tabularnewline
0.295 & 87.7888290556119 & 2.43844735086985 \tabularnewline
0.3 & 88.035073093393 & 2.33292122537914 \tabularnewline
0.305 & 88.2699732013022 & 2.22975107393923 \tabularnewline
0.31 & 88.4939483663342 & 2.13052506760096 \tabularnewline
0.315 & 88.7075131887102 & 2.03630285825273 \tabularnewline
0.32 & 88.9112659438415 & 1.94812586878817 \tabularnewline
0.325 & 89.1058737383548 & 1.86698495299405 \tabularnewline
0.33 & 89.2920555941878 & 1.79339816598819 \tabularnewline
0.335 & 89.4705643638893 & 1.72784698674338 \tabularnewline
0.34 & 89.64216838731 & 1.67042000587461 \tabularnewline
0.345 & 89.8076337517755 & 1.62111198996975 \tabularnewline
0.35 & 89.96770792445 & 1.57946528530506 \tabularnewline
0.355 & 90.1231053984111 & 1.54508365068990 \tabularnewline
0.36 & 90.2744958448635 & 1.51734354211387 \tabularnewline
0.365 & 90.422495104289 & 1.49525148546162 \tabularnewline
0.37 & 90.5676591892614 & 1.47842375813131 \tabularnewline
0.375 & 90.7104813195277 & 1.46572347912632 \tabularnewline
0.38 & 90.8513918722326 & 1.45629768380946 \tabularnewline
0.385 & 90.9907610113725 & 1.44963055153382 \tabularnewline
0.39 & 91.1289036634651 & 1.44528918595569 \tabularnewline
0.395 & 91.2660864322588 & 1.44240435691361 \tabularnewline
0.4 & 91.402535994117 & 1.44076284614880 \tabularnewline
0.405 & 91.5384484866314 & 1.44002577583365 \tabularnewline
0.41 & 91.6739993945774 & 1.44030153059143 \tabularnewline
0.415 & 91.809353447674 & 1.44149815781021 \tabularnewline
0.42 & 91.944674071708 & 1.44371032260296 \tabularnewline
0.425 & 92.0801319763067 & 1.44724247330397 \tabularnewline
0.43 & 92.215912516822 & 1.45250478638533 \tabularnewline
0.435 & 92.3522215322867 & 1.45962015621379 \tabularnewline
0.44 & 92.4892894339673 & 1.46935143208816 \tabularnewline
0.445 & 92.6273733974322 & 1.48196655619065 \tabularnewline
0.45 & 92.7667575928408 & 1.49797919282740 \tabularnewline
0.455 & 92.9077514708347 & 1.51774553333765 \tabularnewline
0.46 & 93.0506862022813 & 1.54161998355456 \tabularnewline
0.465 & 93.19590944641 & 1.56978966901011 \tabularnewline
0.47 & 93.3437786907592 & 1.60233143735335 \tabularnewline
0.475 & 93.4946534650592 & 1.63924876727857 \tabularnewline
0.48 & 93.648886777134 & 1.68043998725581 \tabularnewline
0.485 & 93.8068161498992 & 1.72542780582144 \tabularnewline
0.49 & 93.968754652836 & 1.77393632620824 \tabularnewline
0.495 & 94.1349823179022 & 1.82560934336603 \tabularnewline
0.5 & 94.3057383084565 & 1.87951719620339 \tabularnewline
0.505 & 94.481214171078 & 1.93491428582887 \tabularnewline
0.51 & 94.6615484457663 & 1.99142594153796 \tabularnewline
0.515 & 94.8468228424672 & 2.04800433969599 \tabularnewline
0.52 & 95.0370601145253 & 2.10400275875281 \tabularnewline
0.525 & 95.2322236766279 & 2.15858218711358 \tabularnewline
0.53 & 95.4322189305683 & 2.21110285083055 \tabularnewline
0.535 & 95.6368961814696 & 2.26099932006088 \tabularnewline
0.54 & 95.8460549545832 & 2.30777382478394 \tabularnewline
0.545 & 96.0594494626071 & 2.35074999247106 \tabularnewline
0.55 & 96.2767949291288 & 2.38983413021284 \tabularnewline
0.555 & 96.4977744477856 & 2.42456346117964 \tabularnewline
0.56 & 96.722046050354 & 2.45491240092301 \tabularnewline
0.565 & 96.949249670254 & 2.48067856436317 \tabularnewline
0.57 & 97.1790137195585 & 2.50188502262190 \tabularnewline
0.575 & 97.410961045009 & 2.51861542135756 \tabularnewline
0.58 & 97.6447140880873 & 2.53098976811648 \tabularnewline
0.585 & 97.8798991414828 & 2.53915204520438 \tabularnewline
0.59 & 98.116149664337 & 2.54336761213340 \tabularnewline
0.595 & 98.353108686409 & 2.54355188339545 \tabularnewline
0.6 & 98.5904303919392 & 2.54020702894716 \tabularnewline
0.605 & 98.8277810232927 & 2.53324126826339 \tabularnewline
0.61 & 99.0648392791487 & 2.52294816793359 \tabularnewline
0.615 & 99.3012963999586 & 2.50931010822107 \tabularnewline
0.62 & 99.5368561338324 & 2.49261965365454 \tabularnewline
0.625 & 99.7712347595477 & 2.47284565857416 \tabularnewline
0.63 & 100.004161311896 & 2.45014308656011 \tabularnewline
0.635 & 100.235378111193 & 2.42459426425356 \tabularnewline
0.64 & 100.464641647450 & 2.39633184143385 \tabularnewline
0.645 & 100.691723814937 & 2.36550678760728 \tabularnewline
0.65 & 100.916413439522 & 2.33236544024023 \tabularnewline
0.655 & 101.138517993629 & 2.29680309356155 \tabularnewline
0.66 & 101.357865356069 & 2.25940196329127 \tabularnewline
0.665 & 101.574305449388 & 2.22024361684311 \tabularnewline
0.67 & 101.787711577727 & 2.17966816027493 \tabularnewline
0.675 & 101.997981294283 & 2.13790267596306 \tabularnewline
0.68 & 102.205036648697 & 2.09534314603875 \tabularnewline
0.685 & 102.408823699318 & 2.05226013653359 \tabularnewline
0.69 & 102.609311220573 & 2.00904322080421 \tabularnewline
0.695 & 102.806488588037 & 1.96586611975766 \tabularnewline
0.7 & 103.000362879471 & 1.92303871822822 \tabularnewline
0.705 & 103.190955285018 & 1.88073813533719 \tabularnewline
0.71 & 103.378296970342 & 1.83893655979025 \tabularnewline
0.715 & 103.562424579723 & 1.79799774103972 \tabularnewline
0.72 & 103.743375599608 & 1.75770585661175 \tabularnewline
0.725 & 103.921183825508 & 1.71800946465705 \tabularnewline
0.73 & 104.095875185838 & 1.6789730765307 \tabularnewline
0.735 & 104.267464175439 & 1.64036406965104 \tabularnewline
0.74 & 104.435951139832 & 1.60199578935165 \tabularnewline
0.745 & 104.601320629613 & 1.56361970821668 \tabularnewline
0.75 & 104.763541013760 & 1.52504913217396 \tabularnewline
0.755 & 104.922565501680 & 1.48617675032818 \tabularnewline
0.76 & 105.078334676842 & 1.446729966924 \tabularnewline
0.765 & 105.230780589739 & 1.40671000262019 \tabularnewline
0.77 & 105.379832394122 & 1.36592249393089 \tabularnewline
0.775 & 105.525423437624 & 1.32435099406277 \tabularnewline
0.78 & 105.667499635682 & 1.28210759701632 \tabularnewline
0.785 & 105.806028867072 & 1.23934792861983 \tabularnewline
0.79 & 105.941011032688 & 1.19627792659221 \tabularnewline
0.795 & 106.072488321273 & 1.15325137903934 \tabularnewline
0.8 & 106.200555134486 & 1.11069770218285 \tabularnewline
0.805 & 106.325367050421 & 1.06919238111847 \tabularnewline
0.81 & 106.447148164723 & 1.02926874701854 \tabularnewline
0.815 & 106.566196160664 & 0.99162008471918 \tabularnewline
0.82 & 106.682884544859 & 0.957004089264352 \tabularnewline
0.825 & 106.797661664984 & 0.926087743591734 \tabularnewline
0.83 & 106.911046416905 & 0.899573641777908 \tabularnewline
0.835 & 107.023620958997 & 0.878100730997316 \tabularnewline
0.84 & 107.136021272452 & 0.862072958557879 \tabularnewline
0.845 & 107.248927004668 & 0.851804225988002 \tabularnewline
0.85 & 107.363052642149 & 0.847264696251166 \tabularnewline
0.855 & 107.479142574209 & 0.848290215788149 \tabularnewline
0.86 & 107.597972883450 & 0.854488943455878 \tabularnewline
0.865 & 107.720362554421 & 0.865309071973524 \tabularnewline
0.87 & 107.847196036177 & 0.880378802007139 \tabularnewline
0.875 & 107.979457558576 & 0.899320419176487 \tabularnewline
0.88 & 108.118275193302 & 0.92225971701555 \tabularnewline
0.885 & 108.264969419475 & 0.949809686322584 \tabularnewline
0.89 & 108.421097167224 & 0.983208613678884 \tabularnewline
0.895 & 108.588478512712 & 1.02440377326243 \tabularnewline
0.9 & 108.769190224493 & 1.07555793457837 \tabularnewline
0.905 & 108.965509302061 & 1.1390380483448 \tabularnewline
0.91 & 109.179791694635 & 1.21625868511910 \tabularnewline
0.915 & 109.414277573202 & 1.30714945492583 \tabularnewline
0.92 & 109.670825356193 & 1.40930722873324 \tabularnewline
0.925 & 109.950591714216 & 1.51754184062421 \tabularnewline
0.93 & 110.253692231574 & 1.62398775896145 \tabularnewline
0.935 & 110.578893991248 & 1.71853087037466 \tabularnewline
0.94 & 110.923402403699 & 1.78973910462127 \tabularnewline
0.945 & 111.282804660028 & 1.8265085366183 \tabularnewline
0.95 & 111.651216127186 & 1.81951776135678 \tabularnewline
0.955 & 112.021640664952 & 1.76318530287732 \tabularnewline
0.96 & 112.386502246586 & 1.65703595803783 \tabularnewline
0.965 & 112.738241355044 & 1.50653365828832 \tabularnewline
0.97 & 113.069813469718 & 1.32285488445125 \tabularnewline
0.975 & 113.374909252064 & 1.12196654071958 \tabularnewline
0.98 & 113.647778493703 & 0.92300227129504 \tabularnewline
0.985 & 113.882722272800 & 0.746493567548907 \tabularnewline
0.99 & 114.073623872413 & 0.61166082963372 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64006&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]44.7217580713118[/C][C]1.71534179452408[/C][/ROW]
[ROW][C]0.015[/C][C]45.3092334955066[/C][C]2.50424285686293[/C][/ROW]
[ROW][C]0.02[/C][C]46.0754503944532[/C][C]3.28831872343435[/C][/ROW]
[ROW][C]0.025[/C][C]47.0024524561306[/C][C]4.02315471219069[/C][/ROW]
[ROW][C]0.03[/C][C]48.0684188568469[/C][C]4.70655041457231[/C][/ROW]
[ROW][C]0.035[/C][C]49.2517114813611[/C][C]5.35461671028407[/C][/ROW]
[ROW][C]0.04[/C][C]50.5329069007290[/C][C]5.98118038360799[/C][/ROW]
[ROW][C]0.045[/C][C]51.8951287713185[/C][C]6.5868143748915[/C][/ROW]
[ROW][C]0.05[/C][C]53.3232941616247[/C][C]7.157633180313[/C][/ROW]
[ROW][C]0.055[/C][C]54.8029400361416[/C][C]7.66997289943316[/C][/ROW]
[ROW][C]0.06[/C][C]56.3191729032526[/C][C]8.0969766819835[/C][/ROW]
[ROW][C]0.065[/C][C]57.8560738236256[/C][C]8.41436912913682[/C][/ROW]
[ROW][C]0.07[/C][C]59.3966723347195[/C][C]8.60484179549085[/C][/ROW]
[ROW][C]0.075[/C][C]60.9234295829295[/C][C]8.66020083284804[/C][/ROW]
[ROW][C]0.08[/C][C]62.4190658606787[/C][C]8.58211276659804[/C][/ROW]
[ROW][C]0.085[/C][C]63.867529529927[/C][C]8.3814172891483[/C][/ROW]
[ROW][C]0.09[/C][C]65.2549177774128[/C][C]8.07667075048881[/C][/ROW]
[ROW][C]0.095[/C][C]66.5702048915027[/C][C]7.6917418825994[/C][/ROW]
[ROW][C]0.1[/C][C]67.8056922874732[/C][C]7.25316726584192[/C][/ROW]
[ROW][C]0.105[/C][C]68.957152220158[/C][C]6.78782856702036[/C][/ROW]
[ROW][C]0.11[/C][C]70.0236849781388[/C][C]6.32079720741366[/C][/ROW]
[ROW][C]0.115[/C][C]71.0073428880672[/C][C]5.87357642125031[/C][/ROW]
[ROW][C]0.12[/C][C]71.9125927636883[/C][C]5.46309293971261[/C][/ROW]
[ROW][C]0.125[/C][C]72.7456930618817[/C][C]5.10092825705204[/C][/ROW]
[ROW][C]0.13[/C][C]73.5140559592403[/C][C]4.79342852222825[/C][/ROW]
[ROW][C]0.135[/C][C]74.2256514431822[/C][C]4.54206615101374[/C][/ROW]
[ROW][C]0.14[/C][C]74.8884938688923[/C][C]4.34403165580207[/C][/ROW]
[ROW][C]0.145[/C][C]75.5102342932212[/C][C]4.19384875086762[/C][/ROW]
[ROW][C]0.15[/C][C]76.0978664987878[/C][C]4.08389487639143[/C][/ROW]
[ROW][C]0.155[/C][C]76.6575423385912[/C][C]4.00639751378005[/C][/ROW]
[ROW][C]0.16[/C][C]77.1944834342753[/C][C]3.95317862864858[/C][/ROW]
[ROW][C]0.165[/C][C]77.712971281454[/C][C]3.91726611903681[/C][/ROW]
[ROW][C]0.17[/C][C]78.2163959529492[/C][C]3.89269904325717[/C][/ROW]
[ROW][C]0.175[/C][C]78.7073441193228[/C][C]3.87448643063022[/C][/ROW]
[ROW][C]0.18[/C][C]79.1877092462685[/C][C]3.85864296664026[/C][/ROW]
[ROW][C]0.185[/C][C]79.6588098694594[/C][C]3.8428371064271[/C][/ROW]
[ROW][C]0.19[/C][C]80.1215052161941[/C][C]3.82489241426909[/C][/ROW]
[ROW][C]0.195[/C][C]80.5763007275546[/C][C]3.80396467666889[/C][/ROW]
[ROW][C]0.2[/C][C]81.0234389746543[/C][C]3.77920134517149[/C][/ROW]
[ROW][C]0.205[/C][C]81.4629739218961[/C][C]3.75028511065420[/C][/ROW]
[ROW][C]0.21[/C][C]81.8948284228255[/C][C]3.71739609967676[/C][/ROW]
[ROW][C]0.215[/C][C]82.3188362516323[/C][C]3.68039827836679[/C][/ROW]
[ROW][C]0.22[/C][C]82.7347709192846[/C][C]3.63931593970935[/C][/ROW]
[ROW][C]0.225[/C][C]83.1423640563379[/C][C]3.59401745819182[/C][/ROW]
[ROW][C]0.23[/C][C]83.5413163285257[/C][C]3.54435833934922[/C][/ROW]
[ROW][C]0.235[/C][C]83.9313037509925[/C][C]3.49017039860228[/C][/ROW]
[ROW][C]0.24[/C][C]84.3119819466145[/C][C]3.43084914500330[/C][/ROW]
[ROW][C]0.245[/C][C]84.6829904165411[/C][C]3.36615000649777[/C][/ROW]
[ROW][C]0.25[/C][C]85.0439583187768[/C][C]3.29594260063513[/C][/ROW]
[ROW][C]0.255[/C][C]85.3945126424056[/C][C]3.2197550077393[/C][/ROW]
[ROW][C]0.26[/C][C]85.73428907498[/C][C]3.13755958178436[/C][/ROW]
[ROW][C]0.265[/C][C]86.0629453349655[/C][C]3.04973072202269[/C][/ROW]
[ROW][C]0.27[/C][C]86.3801763159565[/C][C]2.95639884715685[/C][/ROW]
[ROW][C]0.275[/C][C]86.685730088398[/C][C]2.85835869807735[/C][/ROW]
[ROW][C]0.28[/C][C]86.979423638478[/C][C]2.75641585343368[/C][/ROW]
[ROW][C]0.285[/C][C]87.2611571906013[/C][C]2.65164124468589[/C][/ROW]
[ROW][C]0.29[/C][C]87.5309260462065[/C][C]2.54518066775978[/C][/ROW]
[ROW][C]0.295[/C][C]87.7888290556119[/C][C]2.43844735086985[/C][/ROW]
[ROW][C]0.3[/C][C]88.035073093393[/C][C]2.33292122537914[/C][/ROW]
[ROW][C]0.305[/C][C]88.2699732013022[/C][C]2.22975107393923[/C][/ROW]
[ROW][C]0.31[/C][C]88.4939483663342[/C][C]2.13052506760096[/C][/ROW]
[ROW][C]0.315[/C][C]88.7075131887102[/C][C]2.03630285825273[/C][/ROW]
[ROW][C]0.32[/C][C]88.9112659438415[/C][C]1.94812586878817[/C][/ROW]
[ROW][C]0.325[/C][C]89.1058737383548[/C][C]1.86698495299405[/C][/ROW]
[ROW][C]0.33[/C][C]89.2920555941878[/C][C]1.79339816598819[/C][/ROW]
[ROW][C]0.335[/C][C]89.4705643638893[/C][C]1.72784698674338[/C][/ROW]
[ROW][C]0.34[/C][C]89.64216838731[/C][C]1.67042000587461[/C][/ROW]
[ROW][C]0.345[/C][C]89.8076337517755[/C][C]1.62111198996975[/C][/ROW]
[ROW][C]0.35[/C][C]89.96770792445[/C][C]1.57946528530506[/C][/ROW]
[ROW][C]0.355[/C][C]90.1231053984111[/C][C]1.54508365068990[/C][/ROW]
[ROW][C]0.36[/C][C]90.2744958448635[/C][C]1.51734354211387[/C][/ROW]
[ROW][C]0.365[/C][C]90.422495104289[/C][C]1.49525148546162[/C][/ROW]
[ROW][C]0.37[/C][C]90.5676591892614[/C][C]1.47842375813131[/C][/ROW]
[ROW][C]0.375[/C][C]90.7104813195277[/C][C]1.46572347912632[/C][/ROW]
[ROW][C]0.38[/C][C]90.8513918722326[/C][C]1.45629768380946[/C][/ROW]
[ROW][C]0.385[/C][C]90.9907610113725[/C][C]1.44963055153382[/C][/ROW]
[ROW][C]0.39[/C][C]91.1289036634651[/C][C]1.44528918595569[/C][/ROW]
[ROW][C]0.395[/C][C]91.2660864322588[/C][C]1.44240435691361[/C][/ROW]
[ROW][C]0.4[/C][C]91.402535994117[/C][C]1.44076284614880[/C][/ROW]
[ROW][C]0.405[/C][C]91.5384484866314[/C][C]1.44002577583365[/C][/ROW]
[ROW][C]0.41[/C][C]91.6739993945774[/C][C]1.44030153059143[/C][/ROW]
[ROW][C]0.415[/C][C]91.809353447674[/C][C]1.44149815781021[/C][/ROW]
[ROW][C]0.42[/C][C]91.944674071708[/C][C]1.44371032260296[/C][/ROW]
[ROW][C]0.425[/C][C]92.0801319763067[/C][C]1.44724247330397[/C][/ROW]
[ROW][C]0.43[/C][C]92.215912516822[/C][C]1.45250478638533[/C][/ROW]
[ROW][C]0.435[/C][C]92.3522215322867[/C][C]1.45962015621379[/C][/ROW]
[ROW][C]0.44[/C][C]92.4892894339673[/C][C]1.46935143208816[/C][/ROW]
[ROW][C]0.445[/C][C]92.6273733974322[/C][C]1.48196655619065[/C][/ROW]
[ROW][C]0.45[/C][C]92.7667575928408[/C][C]1.49797919282740[/C][/ROW]
[ROW][C]0.455[/C][C]92.9077514708347[/C][C]1.51774553333765[/C][/ROW]
[ROW][C]0.46[/C][C]93.0506862022813[/C][C]1.54161998355456[/C][/ROW]
[ROW][C]0.465[/C][C]93.19590944641[/C][C]1.56978966901011[/C][/ROW]
[ROW][C]0.47[/C][C]93.3437786907592[/C][C]1.60233143735335[/C][/ROW]
[ROW][C]0.475[/C][C]93.4946534650592[/C][C]1.63924876727857[/C][/ROW]
[ROW][C]0.48[/C][C]93.648886777134[/C][C]1.68043998725581[/C][/ROW]
[ROW][C]0.485[/C][C]93.8068161498992[/C][C]1.72542780582144[/C][/ROW]
[ROW][C]0.49[/C][C]93.968754652836[/C][C]1.77393632620824[/C][/ROW]
[ROW][C]0.495[/C][C]94.1349823179022[/C][C]1.82560934336603[/C][/ROW]
[ROW][C]0.5[/C][C]94.3057383084565[/C][C]1.87951719620339[/C][/ROW]
[ROW][C]0.505[/C][C]94.481214171078[/C][C]1.93491428582887[/C][/ROW]
[ROW][C]0.51[/C][C]94.6615484457663[/C][C]1.99142594153796[/C][/ROW]
[ROW][C]0.515[/C][C]94.8468228424672[/C][C]2.04800433969599[/C][/ROW]
[ROW][C]0.52[/C][C]95.0370601145253[/C][C]2.10400275875281[/C][/ROW]
[ROW][C]0.525[/C][C]95.2322236766279[/C][C]2.15858218711358[/C][/ROW]
[ROW][C]0.53[/C][C]95.4322189305683[/C][C]2.21110285083055[/C][/ROW]
[ROW][C]0.535[/C][C]95.6368961814696[/C][C]2.26099932006088[/C][/ROW]
[ROW][C]0.54[/C][C]95.8460549545832[/C][C]2.30777382478394[/C][/ROW]
[ROW][C]0.545[/C][C]96.0594494626071[/C][C]2.35074999247106[/C][/ROW]
[ROW][C]0.55[/C][C]96.2767949291288[/C][C]2.38983413021284[/C][/ROW]
[ROW][C]0.555[/C][C]96.4977744477856[/C][C]2.42456346117964[/C][/ROW]
[ROW][C]0.56[/C][C]96.722046050354[/C][C]2.45491240092301[/C][/ROW]
[ROW][C]0.565[/C][C]96.949249670254[/C][C]2.48067856436317[/C][/ROW]
[ROW][C]0.57[/C][C]97.1790137195585[/C][C]2.50188502262190[/C][/ROW]
[ROW][C]0.575[/C][C]97.410961045009[/C][C]2.51861542135756[/C][/ROW]
[ROW][C]0.58[/C][C]97.6447140880873[/C][C]2.53098976811648[/C][/ROW]
[ROW][C]0.585[/C][C]97.8798991414828[/C][C]2.53915204520438[/C][/ROW]
[ROW][C]0.59[/C][C]98.116149664337[/C][C]2.54336761213340[/C][/ROW]
[ROW][C]0.595[/C][C]98.353108686409[/C][C]2.54355188339545[/C][/ROW]
[ROW][C]0.6[/C][C]98.5904303919392[/C][C]2.54020702894716[/C][/ROW]
[ROW][C]0.605[/C][C]98.8277810232927[/C][C]2.53324126826339[/C][/ROW]
[ROW][C]0.61[/C][C]99.0648392791487[/C][C]2.52294816793359[/C][/ROW]
[ROW][C]0.615[/C][C]99.3012963999586[/C][C]2.50931010822107[/C][/ROW]
[ROW][C]0.62[/C][C]99.5368561338324[/C][C]2.49261965365454[/C][/ROW]
[ROW][C]0.625[/C][C]99.7712347595477[/C][C]2.47284565857416[/C][/ROW]
[ROW][C]0.63[/C][C]100.004161311896[/C][C]2.45014308656011[/C][/ROW]
[ROW][C]0.635[/C][C]100.235378111193[/C][C]2.42459426425356[/C][/ROW]
[ROW][C]0.64[/C][C]100.464641647450[/C][C]2.39633184143385[/C][/ROW]
[ROW][C]0.645[/C][C]100.691723814937[/C][C]2.36550678760728[/C][/ROW]
[ROW][C]0.65[/C][C]100.916413439522[/C][C]2.33236544024023[/C][/ROW]
[ROW][C]0.655[/C][C]101.138517993629[/C][C]2.29680309356155[/C][/ROW]
[ROW][C]0.66[/C][C]101.357865356069[/C][C]2.25940196329127[/C][/ROW]
[ROW][C]0.665[/C][C]101.574305449388[/C][C]2.22024361684311[/C][/ROW]
[ROW][C]0.67[/C][C]101.787711577727[/C][C]2.17966816027493[/C][/ROW]
[ROW][C]0.675[/C][C]101.997981294283[/C][C]2.13790267596306[/C][/ROW]
[ROW][C]0.68[/C][C]102.205036648697[/C][C]2.09534314603875[/C][/ROW]
[ROW][C]0.685[/C][C]102.408823699318[/C][C]2.05226013653359[/C][/ROW]
[ROW][C]0.69[/C][C]102.609311220573[/C][C]2.00904322080421[/C][/ROW]
[ROW][C]0.695[/C][C]102.806488588037[/C][C]1.96586611975766[/C][/ROW]
[ROW][C]0.7[/C][C]103.000362879471[/C][C]1.92303871822822[/C][/ROW]
[ROW][C]0.705[/C][C]103.190955285018[/C][C]1.88073813533719[/C][/ROW]
[ROW][C]0.71[/C][C]103.378296970342[/C][C]1.83893655979025[/C][/ROW]
[ROW][C]0.715[/C][C]103.562424579723[/C][C]1.79799774103972[/C][/ROW]
[ROW][C]0.72[/C][C]103.743375599608[/C][C]1.75770585661175[/C][/ROW]
[ROW][C]0.725[/C][C]103.921183825508[/C][C]1.71800946465705[/C][/ROW]
[ROW][C]0.73[/C][C]104.095875185838[/C][C]1.6789730765307[/C][/ROW]
[ROW][C]0.735[/C][C]104.267464175439[/C][C]1.64036406965104[/C][/ROW]
[ROW][C]0.74[/C][C]104.435951139832[/C][C]1.60199578935165[/C][/ROW]
[ROW][C]0.745[/C][C]104.601320629613[/C][C]1.56361970821668[/C][/ROW]
[ROW][C]0.75[/C][C]104.763541013760[/C][C]1.52504913217396[/C][/ROW]
[ROW][C]0.755[/C][C]104.922565501680[/C][C]1.48617675032818[/C][/ROW]
[ROW][C]0.76[/C][C]105.078334676842[/C][C]1.446729966924[/C][/ROW]
[ROW][C]0.765[/C][C]105.230780589739[/C][C]1.40671000262019[/C][/ROW]
[ROW][C]0.77[/C][C]105.379832394122[/C][C]1.36592249393089[/C][/ROW]
[ROW][C]0.775[/C][C]105.525423437624[/C][C]1.32435099406277[/C][/ROW]
[ROW][C]0.78[/C][C]105.667499635682[/C][C]1.28210759701632[/C][/ROW]
[ROW][C]0.785[/C][C]105.806028867072[/C][C]1.23934792861983[/C][/ROW]
[ROW][C]0.79[/C][C]105.941011032688[/C][C]1.19627792659221[/C][/ROW]
[ROW][C]0.795[/C][C]106.072488321273[/C][C]1.15325137903934[/C][/ROW]
[ROW][C]0.8[/C][C]106.200555134486[/C][C]1.11069770218285[/C][/ROW]
[ROW][C]0.805[/C][C]106.325367050421[/C][C]1.06919238111847[/C][/ROW]
[ROW][C]0.81[/C][C]106.447148164723[/C][C]1.02926874701854[/C][/ROW]
[ROW][C]0.815[/C][C]106.566196160664[/C][C]0.99162008471918[/C][/ROW]
[ROW][C]0.82[/C][C]106.682884544859[/C][C]0.957004089264352[/C][/ROW]
[ROW][C]0.825[/C][C]106.797661664984[/C][C]0.926087743591734[/C][/ROW]
[ROW][C]0.83[/C][C]106.911046416905[/C][C]0.899573641777908[/C][/ROW]
[ROW][C]0.835[/C][C]107.023620958997[/C][C]0.878100730997316[/C][/ROW]
[ROW][C]0.84[/C][C]107.136021272452[/C][C]0.862072958557879[/C][/ROW]
[ROW][C]0.845[/C][C]107.248927004668[/C][C]0.851804225988002[/C][/ROW]
[ROW][C]0.85[/C][C]107.363052642149[/C][C]0.847264696251166[/C][/ROW]
[ROW][C]0.855[/C][C]107.479142574209[/C][C]0.848290215788149[/C][/ROW]
[ROW][C]0.86[/C][C]107.597972883450[/C][C]0.854488943455878[/C][/ROW]
[ROW][C]0.865[/C][C]107.720362554421[/C][C]0.865309071973524[/C][/ROW]
[ROW][C]0.87[/C][C]107.847196036177[/C][C]0.880378802007139[/C][/ROW]
[ROW][C]0.875[/C][C]107.979457558576[/C][C]0.899320419176487[/C][/ROW]
[ROW][C]0.88[/C][C]108.118275193302[/C][C]0.92225971701555[/C][/ROW]
[ROW][C]0.885[/C][C]108.264969419475[/C][C]0.949809686322584[/C][/ROW]
[ROW][C]0.89[/C][C]108.421097167224[/C][C]0.983208613678884[/C][/ROW]
[ROW][C]0.895[/C][C]108.588478512712[/C][C]1.02440377326243[/C][/ROW]
[ROW][C]0.9[/C][C]108.769190224493[/C][C]1.07555793457837[/C][/ROW]
[ROW][C]0.905[/C][C]108.965509302061[/C][C]1.1390380483448[/C][/ROW]
[ROW][C]0.91[/C][C]109.179791694635[/C][C]1.21625868511910[/C][/ROW]
[ROW][C]0.915[/C][C]109.414277573202[/C][C]1.30714945492583[/C][/ROW]
[ROW][C]0.92[/C][C]109.670825356193[/C][C]1.40930722873324[/C][/ROW]
[ROW][C]0.925[/C][C]109.950591714216[/C][C]1.51754184062421[/C][/ROW]
[ROW][C]0.93[/C][C]110.253692231574[/C][C]1.62398775896145[/C][/ROW]
[ROW][C]0.935[/C][C]110.578893991248[/C][C]1.71853087037466[/C][/ROW]
[ROW][C]0.94[/C][C]110.923402403699[/C][C]1.78973910462127[/C][/ROW]
[ROW][C]0.945[/C][C]111.282804660028[/C][C]1.8265085366183[/C][/ROW]
[ROW][C]0.95[/C][C]111.651216127186[/C][C]1.81951776135678[/C][/ROW]
[ROW][C]0.955[/C][C]112.021640664952[/C][C]1.76318530287732[/C][/ROW]
[ROW][C]0.96[/C][C]112.386502246586[/C][C]1.65703595803783[/C][/ROW]
[ROW][C]0.965[/C][C]112.738241355044[/C][C]1.50653365828832[/C][/ROW]
[ROW][C]0.97[/C][C]113.069813469718[/C][C]1.32285488445125[/C][/ROW]
[ROW][C]0.975[/C][C]113.374909252064[/C][C]1.12196654071958[/C][/ROW]
[ROW][C]0.98[/C][C]113.647778493703[/C][C]0.92300227129504[/C][/ROW]
[ROW][C]0.985[/C][C]113.882722272800[/C][C]0.746493567548907[/C][/ROW]
[ROW][C]0.99[/C][C]114.073623872413[/C][C]0.61166082963372[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64006&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64006&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
0.0144.72175807131181.71534179452408
0.01545.30923349550662.50424285686293
0.0246.07545039445323.28831872343435
0.02547.00245245613064.02315471219069
0.0348.06841885684694.70655041457231
0.03549.25171148136115.35461671028407
0.0450.53290690072905.98118038360799
0.04551.89512877131856.5868143748915
0.0553.32329416162477.157633180313
0.05554.80294003614167.66997289943316
0.0656.31917290325268.0969766819835
0.06557.85607382362568.41436912913682
0.0759.39667233471958.60484179549085
0.07560.92342958292958.66020083284804
0.0862.41906586067878.58211276659804
0.08563.8675295299278.3814172891483
0.0965.25491777741288.07667075048881
0.09566.57020489150277.6917418825994
0.167.80569228747327.25316726584192
0.10568.9571522201586.78782856702036
0.1170.02368497813886.32079720741366
0.11571.00734288806725.87357642125031
0.1271.91259276368835.46309293971261
0.12572.74569306188175.10092825705204
0.1373.51405595924034.79342852222825
0.13574.22565144318224.54206615101374
0.1474.88849386889234.34403165580207
0.14575.51023429322124.19384875086762
0.1576.09786649878784.08389487639143
0.15576.65754233859124.00639751378005
0.1677.19448343427533.95317862864858
0.16577.7129712814543.91726611903681
0.1778.21639595294923.89269904325717
0.17578.70734411932283.87448643063022
0.1879.18770924626853.85864296664026
0.18579.65880986945943.8428371064271
0.1980.12150521619413.82489241426909
0.19580.57630072755463.80396467666889
0.281.02343897465433.77920134517149
0.20581.46297392189613.75028511065420
0.2181.89482842282553.71739609967676
0.21582.31883625163233.68039827836679
0.2282.73477091928463.63931593970935
0.22583.14236405633793.59401745819182
0.2383.54131632852573.54435833934922
0.23583.93130375099253.49017039860228
0.2484.31198194661453.43084914500330
0.24584.68299041654113.36615000649777
0.2585.04395831877683.29594260063513
0.25585.39451264240563.2197550077393
0.2685.734289074983.13755958178436
0.26586.06294533496553.04973072202269
0.2786.38017631595652.95639884715685
0.27586.6857300883982.85835869807735
0.2886.9794236384782.75641585343368
0.28587.26115719060132.65164124468589
0.2987.53092604620652.54518066775978
0.29587.78882905561192.43844735086985
0.388.0350730933932.33292122537914
0.30588.26997320130222.22975107393923
0.3188.49394836633422.13052506760096
0.31588.70751318871022.03630285825273
0.3288.91126594384151.94812586878817
0.32589.10587373835481.86698495299405
0.3389.29205559418781.79339816598819
0.33589.47056436388931.72784698674338
0.3489.642168387311.67042000587461
0.34589.80763375177551.62111198996975
0.3589.967707924451.57946528530506
0.35590.12310539841111.54508365068990
0.3690.27449584486351.51734354211387
0.36590.4224951042891.49525148546162
0.3790.56765918926141.47842375813131
0.37590.71048131952771.46572347912632
0.3890.85139187223261.45629768380946
0.38590.99076101137251.44963055153382
0.3991.12890366346511.44528918595569
0.39591.26608643225881.44240435691361
0.491.4025359941171.44076284614880
0.40591.53844848663141.44002577583365
0.4191.67399939457741.44030153059143
0.41591.8093534476741.44149815781021
0.4291.9446740717081.44371032260296
0.42592.08013197630671.44724247330397
0.4392.2159125168221.45250478638533
0.43592.35222153228671.45962015621379
0.4492.48928943396731.46935143208816
0.44592.62737339743221.48196655619065
0.4592.76675759284081.49797919282740
0.45592.90775147083471.51774553333765
0.4693.05068620228131.54161998355456
0.46593.195909446411.56978966901011
0.4793.34377869075921.60233143735335
0.47593.49465346505921.63924876727857
0.4893.6488867771341.68043998725581
0.48593.80681614989921.72542780582144
0.4993.9687546528361.77393632620824
0.49594.13498231790221.82560934336603
0.594.30573830845651.87951719620339
0.50594.4812141710781.93491428582887
0.5194.66154844576631.99142594153796
0.51594.84682284246722.04800433969599
0.5295.03706011452532.10400275875281
0.52595.23222367662792.15858218711358
0.5395.43221893056832.21110285083055
0.53595.63689618146962.26099932006088
0.5495.84605495458322.30777382478394
0.54596.05944946260712.35074999247106
0.5596.27679492912882.38983413021284
0.55596.49777444778562.42456346117964
0.5696.7220460503542.45491240092301
0.56596.9492496702542.48067856436317
0.5797.17901371955852.50188502262190
0.57597.4109610450092.51861542135756
0.5897.64471408808732.53098976811648
0.58597.87989914148282.53915204520438
0.5998.1161496643372.54336761213340
0.59598.3531086864092.54355188339545
0.698.59043039193922.54020702894716
0.60598.82778102329272.53324126826339
0.6199.06483927914872.52294816793359
0.61599.30129639995862.50931010822107
0.6299.53685613383242.49261965365454
0.62599.77123475954772.47284565857416
0.63100.0041613118962.45014308656011
0.635100.2353781111932.42459426425356
0.64100.4646416474502.39633184143385
0.645100.6917238149372.36550678760728
0.65100.9164134395222.33236544024023
0.655101.1385179936292.29680309356155
0.66101.3578653560692.25940196329127
0.665101.5743054493882.22024361684311
0.67101.7877115777272.17966816027493
0.675101.9979812942832.13790267596306
0.68102.2050366486972.09534314603875
0.685102.4088236993182.05226013653359
0.69102.6093112205732.00904322080421
0.695102.8064885880371.96586611975766
0.7103.0003628794711.92303871822822
0.705103.1909552850181.88073813533719
0.71103.3782969703421.83893655979025
0.715103.5624245797231.79799774103972
0.72103.7433755996081.75770585661175
0.725103.9211838255081.71800946465705
0.73104.0958751858381.6789730765307
0.735104.2674641754391.64036406965104
0.74104.4359511398321.60199578935165
0.745104.6013206296131.56361970821668
0.75104.7635410137601.52504913217396
0.755104.9225655016801.48617675032818
0.76105.0783346768421.446729966924
0.765105.2307805897391.40671000262019
0.77105.3798323941221.36592249393089
0.775105.5254234376241.32435099406277
0.78105.6674996356821.28210759701632
0.785105.8060288670721.23934792861983
0.79105.9410110326881.19627792659221
0.795106.0724883212731.15325137903934
0.8106.2005551344861.11069770218285
0.805106.3253670504211.06919238111847
0.81106.4471481647231.02926874701854
0.815106.5661961606640.99162008471918
0.82106.6828845448590.957004089264352
0.825106.7976616649840.926087743591734
0.83106.9110464169050.899573641777908
0.835107.0236209589970.878100730997316
0.84107.1360212724520.862072958557879
0.845107.2489270046680.851804225988002
0.85107.3630526421490.847264696251166
0.855107.4791425742090.848290215788149
0.86107.5979728834500.854488943455878
0.865107.7203625544210.865309071973524
0.87107.8471960361770.880378802007139
0.875107.9794575585760.899320419176487
0.88108.1182751933020.92225971701555
0.885108.2649694194750.949809686322584
0.89108.4210971672240.983208613678884
0.895108.5884785127121.02440377326243
0.9108.7691902244931.07555793457837
0.905108.9655093020611.1390380483448
0.91109.1797916946351.21625868511910
0.915109.4142775732021.30714945492583
0.92109.6708253561931.40930722873324
0.925109.9505917142161.51754184062421
0.93110.2536922315741.62398775896145
0.935110.5788939912481.71853087037466
0.94110.9234024036991.78973910462127
0.945111.2828046600281.8265085366183
0.95111.6512161271861.81951776135678
0.955112.0216406649521.76318530287732
0.96112.3865022465861.65703595803783
0.965112.7382413550441.50653365828832
0.97113.0698134697181.32285488445125
0.975113.3749092520641.12196654071958
0.98113.6477784937030.92300227129504
0.985113.8827222728000.746493567548907
0.99114.0736238724130.61166082963372


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')