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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 computationMon, 09 Mar 2009 08:37:44 -0600
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/Mar/09/t1236609567o90rjfm9s47ayc2.htm/, Retrieved Sun, 28 Apr 2024 23:14:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38770, Retrieved Sun, 28 Apr 2024 23:14:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2009-03-09 14:37:44] [16e291b2db388e9b7dc52bb84b5ee0ff] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106.8
114.3
105.7
90.1
91.6
97.7
100.8
104.6
95.9
102.7
104
107.9
113.8
113.8
123.1
125.1
137.6
134
140.3
152.1
150.6
167.3
153.2
142
154.4
158.5
180.9
181.3
172.4
192
199.3
215.4
214.3
201.5
190.5
196
215.7
209.4
214.1
237.8
239
237.8
251.5
248.8
215.4
201.2
203.1
214.2
188.9
203
213.3
228.5
228.2
240.9
258.8
248.5
269.2
289.6
323.4
317.2
322.8
340.9
368.2
388.5
441.2
474.3
483.9
417.9
365.9
263
199.4
157.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38770&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38770&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38770&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.8901709289342.16033469382275
0.0292.33183155898973.07858388020421
0.0394.12099603737073.63763284528387
0.0495.98352931830183.80474071065874
0.0597.75648021359983.75987809902380
0.0699.37274007340463.62978550358153
0.07100.8249867187223.48628498034911
0.08102.1385884081063.39926281670198
0.09103.3569584096463.44353176770144
0.1104.5335844429723.67502624142815
0.11105.7257418513054.11194210405793
0.12106.9885203328304.73832265982938
0.13108.3698839599235.52170995987189
0.14109.9075251327176.42457310494366
0.15111.6274876752137.40884721033068
0.16113.5439594079688.4347983862045
0.17115.6595883764449.45873051225369
0.18117.96599821722110.4327069741754
0.19120.44456544072011.3081612422176
0.2123.0677424196712.0417657586159
0.21125.80118152791912.6018361308182
0.22128.60669466737512.9734108160322
0.23131.44580098652413.1614598720312
0.24134.28340432031113.1896956258414
0.25137.09107250904313.0977944911895
0.26139.84946186108712.9353610402235
0.27142.54958984087912.7567160616931
0.28145.19284393260712.6153592744537
0.29147.78977964287212.5565370613875
0.3150.35788975187912.6126318803941
0.31152.91862437495812.7973794432985
0.32155.49401490970213.1033415834477
0.33158.10330334313413.5022420906165
0.34160.75998963009513.9490644096254
0.35163.4696687224414.3900123261448
0.36166.22892830299114.7695427472126
0.37169.02542753035115.0363741562628
0.38171.83910195915315.1531443687996
0.39174.64427564198015.0965764620615
0.4177.41234197897514.8604047914155
0.41180.11462184444114.4550737724026
0.42182.72502486467813.9045166638384
0.43185.22221441753913.2424551492482
0.44187.59108498354112.5087362476947
0.45189.82347553046611.7442990164145
0.46191.91814368997110.9886314972235
0.47193.88010146259210.2759816458175
0.48195.7194629080169.63262995145403
0.49197.4499830410109.07724636053878
0.5199.0874815149818.61779205603167
0.51200.6483478735028.25318504558468
0.52202.1483150518297.9746434236773
0.53203.6016581526187.76801568856847
0.54205.0209199168167.61821001024108
0.55206.4171813734137.51334865896604
0.56207.8007935624317.44849617876345
0.57209.1823818394017.42756267880574
0.58210.5738532669327.46348278672082
0.59211.9891060524157.574423996256
0.6213.4441765480767.77902439427661
0.61214.9566676002128.08945994042873
0.62216.5444663932838.50516126703889
0.63218.2239467050949.00912249008579
0.64220.0080149892979.57060797663146
0.65221.90445777284210.1491292361147
0.66223.91504879109710.7018364318427
0.67226.03577107094811.1911825556259
0.68228.25832220145511.5930402195840
0.69230.57284301675611.9020422965239
0.7232.97159262708312.1351387343518
0.71235.45312941720412.3322285865437
0.72238.02646765233912.5551374657049
0.73240.71465230871212.8816090942042
0.74243.55719930100813.3983075905803
0.75246.61085521633614.1910845799262
0.76249.94814283870515.3301281824205
0.77253.65323237408016.8560007374502
0.78257.81491687116518.7645713678692
0.79262.51697762180020.9955209618305
0.8267.82702136279123.4302269137045
0.81273.78580433725825.8996591966442
0.82280.39977490794428.2056568477552
0.83287.63960259000330.1585283822033
0.84295.44647779864931.6191426097346
0.85303.74604229128832.5347458572868
0.86312.46759568485832.9569892593902
0.87321.56472719011133.0271891987873
0.88331.03348312459132.9366354136422
0.89340.92536226165232.8792906200108
0.9351.35349704575933.0238585562224
0.91362.4898281227333.5003916505993
0.92374.54868070555834.366765394951
0.93387.74919380304335.5291676310551
0.94402.24653629584836.6593788411711
0.95418.01975357731137.1827911851019
0.96434.70742132713236.2806862494534
0.97451.4094577139632.8343686790622
0.98466.54710658766925.7955937778718
0.99477.99930262607516.1590953129109

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.890170928934 & 2.16033469382275 \tabularnewline
0.02 & 92.3318315589897 & 3.07858388020421 \tabularnewline
0.03 & 94.1209960373707 & 3.63763284528387 \tabularnewline
0.04 & 95.9835293183018 & 3.80474071065874 \tabularnewline
0.05 & 97.7564802135998 & 3.75987809902380 \tabularnewline
0.06 & 99.3727400734046 & 3.62978550358153 \tabularnewline
0.07 & 100.824986718722 & 3.48628498034911 \tabularnewline
0.08 & 102.138588408106 & 3.39926281670198 \tabularnewline
0.09 & 103.356958409646 & 3.44353176770144 \tabularnewline
0.1 & 104.533584442972 & 3.67502624142815 \tabularnewline
0.11 & 105.725741851305 & 4.11194210405793 \tabularnewline
0.12 & 106.988520332830 & 4.73832265982938 \tabularnewline
0.13 & 108.369883959923 & 5.52170995987189 \tabularnewline
0.14 & 109.907525132717 & 6.42457310494366 \tabularnewline
0.15 & 111.627487675213 & 7.40884721033068 \tabularnewline
0.16 & 113.543959407968 & 8.4347983862045 \tabularnewline
0.17 & 115.659588376444 & 9.45873051225369 \tabularnewline
0.18 & 117.965998217221 & 10.4327069741754 \tabularnewline
0.19 & 120.444565440720 & 11.3081612422176 \tabularnewline
0.2 & 123.06774241967 & 12.0417657586159 \tabularnewline
0.21 & 125.801181527919 & 12.6018361308182 \tabularnewline
0.22 & 128.606694667375 & 12.9734108160322 \tabularnewline
0.23 & 131.445800986524 & 13.1614598720312 \tabularnewline
0.24 & 134.283404320311 & 13.1896956258414 \tabularnewline
0.25 & 137.091072509043 & 13.0977944911895 \tabularnewline
0.26 & 139.849461861087 & 12.9353610402235 \tabularnewline
0.27 & 142.549589840879 & 12.7567160616931 \tabularnewline
0.28 & 145.192843932607 & 12.6153592744537 \tabularnewline
0.29 & 147.789779642872 & 12.5565370613875 \tabularnewline
0.3 & 150.357889751879 & 12.6126318803941 \tabularnewline
0.31 & 152.918624374958 & 12.7973794432985 \tabularnewline
0.32 & 155.494014909702 & 13.1033415834477 \tabularnewline
0.33 & 158.103303343134 & 13.5022420906165 \tabularnewline
0.34 & 160.759989630095 & 13.9490644096254 \tabularnewline
0.35 & 163.46966872244 & 14.3900123261448 \tabularnewline
0.36 & 166.228928302991 & 14.7695427472126 \tabularnewline
0.37 & 169.025427530351 & 15.0363741562628 \tabularnewline
0.38 & 171.839101959153 & 15.1531443687996 \tabularnewline
0.39 & 174.644275641980 & 15.0965764620615 \tabularnewline
0.4 & 177.412341978975 & 14.8604047914155 \tabularnewline
0.41 & 180.114621844441 & 14.4550737724026 \tabularnewline
0.42 & 182.725024864678 & 13.9045166638384 \tabularnewline
0.43 & 185.222214417539 & 13.2424551492482 \tabularnewline
0.44 & 187.591084983541 & 12.5087362476947 \tabularnewline
0.45 & 189.823475530466 & 11.7442990164145 \tabularnewline
0.46 & 191.918143689971 & 10.9886314972235 \tabularnewline
0.47 & 193.880101462592 & 10.2759816458175 \tabularnewline
0.48 & 195.719462908016 & 9.63262995145403 \tabularnewline
0.49 & 197.449983041010 & 9.07724636053878 \tabularnewline
0.5 & 199.087481514981 & 8.61779205603167 \tabularnewline
0.51 & 200.648347873502 & 8.25318504558468 \tabularnewline
0.52 & 202.148315051829 & 7.9746434236773 \tabularnewline
0.53 & 203.601658152618 & 7.76801568856847 \tabularnewline
0.54 & 205.020919916816 & 7.61821001024108 \tabularnewline
0.55 & 206.417181373413 & 7.51334865896604 \tabularnewline
0.56 & 207.800793562431 & 7.44849617876345 \tabularnewline
0.57 & 209.182381839401 & 7.42756267880574 \tabularnewline
0.58 & 210.573853266932 & 7.46348278672082 \tabularnewline
0.59 & 211.989106052415 & 7.574423996256 \tabularnewline
0.6 & 213.444176548076 & 7.77902439427661 \tabularnewline
0.61 & 214.956667600212 & 8.08945994042873 \tabularnewline
0.62 & 216.544466393283 & 8.50516126703889 \tabularnewline
0.63 & 218.223946705094 & 9.00912249008579 \tabularnewline
0.64 & 220.008014989297 & 9.57060797663146 \tabularnewline
0.65 & 221.904457772842 & 10.1491292361147 \tabularnewline
0.66 & 223.915048791097 & 10.7018364318427 \tabularnewline
0.67 & 226.035771070948 & 11.1911825556259 \tabularnewline
0.68 & 228.258322201455 & 11.5930402195840 \tabularnewline
0.69 & 230.572843016756 & 11.9020422965239 \tabularnewline
0.7 & 232.971592627083 & 12.1351387343518 \tabularnewline
0.71 & 235.453129417204 & 12.3322285865437 \tabularnewline
0.72 & 238.026467652339 & 12.5551374657049 \tabularnewline
0.73 & 240.714652308712 & 12.8816090942042 \tabularnewline
0.74 & 243.557199301008 & 13.3983075905803 \tabularnewline
0.75 & 246.610855216336 & 14.1910845799262 \tabularnewline
0.76 & 249.948142838705 & 15.3301281824205 \tabularnewline
0.77 & 253.653232374080 & 16.8560007374502 \tabularnewline
0.78 & 257.814916871165 & 18.7645713678692 \tabularnewline
0.79 & 262.516977621800 & 20.9955209618305 \tabularnewline
0.8 & 267.827021362791 & 23.4302269137045 \tabularnewline
0.81 & 273.785804337258 & 25.8996591966442 \tabularnewline
0.82 & 280.399774907944 & 28.2056568477552 \tabularnewline
0.83 & 287.639602590003 & 30.1585283822033 \tabularnewline
0.84 & 295.446477798649 & 31.6191426097346 \tabularnewline
0.85 & 303.746042291288 & 32.5347458572868 \tabularnewline
0.86 & 312.467595684858 & 32.9569892593902 \tabularnewline
0.87 & 321.564727190111 & 33.0271891987873 \tabularnewline
0.88 & 331.033483124591 & 32.9366354136422 \tabularnewline
0.89 & 340.925362261652 & 32.8792906200108 \tabularnewline
0.9 & 351.353497045759 & 33.0238585562224 \tabularnewline
0.91 & 362.48982812273 & 33.5003916505993 \tabularnewline
0.92 & 374.548680705558 & 34.366765394951 \tabularnewline
0.93 & 387.749193803043 & 35.5291676310551 \tabularnewline
0.94 & 402.246536295848 & 36.6593788411711 \tabularnewline
0.95 & 418.019753577311 & 37.1827911851019 \tabularnewline
0.96 & 434.707421327132 & 36.2806862494534 \tabularnewline
0.97 & 451.40945771396 & 32.8343686790622 \tabularnewline
0.98 & 466.547106587669 & 25.7955937778718 \tabularnewline
0.99 & 477.999302626075 & 16.1590953129109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38770&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]90.890170928934[/C][C]2.16033469382275[/C][/ROW]
[ROW][C]0.02[/C][C]92.3318315589897[/C][C]3.07858388020421[/C][/ROW]
[ROW][C]0.03[/C][C]94.1209960373707[/C][C]3.63763284528387[/C][/ROW]
[ROW][C]0.04[/C][C]95.9835293183018[/C][C]3.80474071065874[/C][/ROW]
[ROW][C]0.05[/C][C]97.7564802135998[/C][C]3.75987809902380[/C][/ROW]
[ROW][C]0.06[/C][C]99.3727400734046[/C][C]3.62978550358153[/C][/ROW]
[ROW][C]0.07[/C][C]100.824986718722[/C][C]3.48628498034911[/C][/ROW]
[ROW][C]0.08[/C][C]102.138588408106[/C][C]3.39926281670198[/C][/ROW]
[ROW][C]0.09[/C][C]103.356958409646[/C][C]3.44353176770144[/C][/ROW]
[ROW][C]0.1[/C][C]104.533584442972[/C][C]3.67502624142815[/C][/ROW]
[ROW][C]0.11[/C][C]105.725741851305[/C][C]4.11194210405793[/C][/ROW]
[ROW][C]0.12[/C][C]106.988520332830[/C][C]4.73832265982938[/C][/ROW]
[ROW][C]0.13[/C][C]108.369883959923[/C][C]5.52170995987189[/C][/ROW]
[ROW][C]0.14[/C][C]109.907525132717[/C][C]6.42457310494366[/C][/ROW]
[ROW][C]0.15[/C][C]111.627487675213[/C][C]7.40884721033068[/C][/ROW]
[ROW][C]0.16[/C][C]113.543959407968[/C][C]8.4347983862045[/C][/ROW]
[ROW][C]0.17[/C][C]115.659588376444[/C][C]9.45873051225369[/C][/ROW]
[ROW][C]0.18[/C][C]117.965998217221[/C][C]10.4327069741754[/C][/ROW]
[ROW][C]0.19[/C][C]120.444565440720[/C][C]11.3081612422176[/C][/ROW]
[ROW][C]0.2[/C][C]123.06774241967[/C][C]12.0417657586159[/C][/ROW]
[ROW][C]0.21[/C][C]125.801181527919[/C][C]12.6018361308182[/C][/ROW]
[ROW][C]0.22[/C][C]128.606694667375[/C][C]12.9734108160322[/C][/ROW]
[ROW][C]0.23[/C][C]131.445800986524[/C][C]13.1614598720312[/C][/ROW]
[ROW][C]0.24[/C][C]134.283404320311[/C][C]13.1896956258414[/C][/ROW]
[ROW][C]0.25[/C][C]137.091072509043[/C][C]13.0977944911895[/C][/ROW]
[ROW][C]0.26[/C][C]139.849461861087[/C][C]12.9353610402235[/C][/ROW]
[ROW][C]0.27[/C][C]142.549589840879[/C][C]12.7567160616931[/C][/ROW]
[ROW][C]0.28[/C][C]145.192843932607[/C][C]12.6153592744537[/C][/ROW]
[ROW][C]0.29[/C][C]147.789779642872[/C][C]12.5565370613875[/C][/ROW]
[ROW][C]0.3[/C][C]150.357889751879[/C][C]12.6126318803941[/C][/ROW]
[ROW][C]0.31[/C][C]152.918624374958[/C][C]12.7973794432985[/C][/ROW]
[ROW][C]0.32[/C][C]155.494014909702[/C][C]13.1033415834477[/C][/ROW]
[ROW][C]0.33[/C][C]158.103303343134[/C][C]13.5022420906165[/C][/ROW]
[ROW][C]0.34[/C][C]160.759989630095[/C][C]13.9490644096254[/C][/ROW]
[ROW][C]0.35[/C][C]163.46966872244[/C][C]14.3900123261448[/C][/ROW]
[ROW][C]0.36[/C][C]166.228928302991[/C][C]14.7695427472126[/C][/ROW]
[ROW][C]0.37[/C][C]169.025427530351[/C][C]15.0363741562628[/C][/ROW]
[ROW][C]0.38[/C][C]171.839101959153[/C][C]15.1531443687996[/C][/ROW]
[ROW][C]0.39[/C][C]174.644275641980[/C][C]15.0965764620615[/C][/ROW]
[ROW][C]0.4[/C][C]177.412341978975[/C][C]14.8604047914155[/C][/ROW]
[ROW][C]0.41[/C][C]180.114621844441[/C][C]14.4550737724026[/C][/ROW]
[ROW][C]0.42[/C][C]182.725024864678[/C][C]13.9045166638384[/C][/ROW]
[ROW][C]0.43[/C][C]185.222214417539[/C][C]13.2424551492482[/C][/ROW]
[ROW][C]0.44[/C][C]187.591084983541[/C][C]12.5087362476947[/C][/ROW]
[ROW][C]0.45[/C][C]189.823475530466[/C][C]11.7442990164145[/C][/ROW]
[ROW][C]0.46[/C][C]191.918143689971[/C][C]10.9886314972235[/C][/ROW]
[ROW][C]0.47[/C][C]193.880101462592[/C][C]10.2759816458175[/C][/ROW]
[ROW][C]0.48[/C][C]195.719462908016[/C][C]9.63262995145403[/C][/ROW]
[ROW][C]0.49[/C][C]197.449983041010[/C][C]9.07724636053878[/C][/ROW]
[ROW][C]0.5[/C][C]199.087481514981[/C][C]8.61779205603167[/C][/ROW]
[ROW][C]0.51[/C][C]200.648347873502[/C][C]8.25318504558468[/C][/ROW]
[ROW][C]0.52[/C][C]202.148315051829[/C][C]7.9746434236773[/C][/ROW]
[ROW][C]0.53[/C][C]203.601658152618[/C][C]7.76801568856847[/C][/ROW]
[ROW][C]0.54[/C][C]205.020919916816[/C][C]7.61821001024108[/C][/ROW]
[ROW][C]0.55[/C][C]206.417181373413[/C][C]7.51334865896604[/C][/ROW]
[ROW][C]0.56[/C][C]207.800793562431[/C][C]7.44849617876345[/C][/ROW]
[ROW][C]0.57[/C][C]209.182381839401[/C][C]7.42756267880574[/C][/ROW]
[ROW][C]0.58[/C][C]210.573853266932[/C][C]7.46348278672082[/C][/ROW]
[ROW][C]0.59[/C][C]211.989106052415[/C][C]7.574423996256[/C][/ROW]
[ROW][C]0.6[/C][C]213.444176548076[/C][C]7.77902439427661[/C][/ROW]
[ROW][C]0.61[/C][C]214.956667600212[/C][C]8.08945994042873[/C][/ROW]
[ROW][C]0.62[/C][C]216.544466393283[/C][C]8.50516126703889[/C][/ROW]
[ROW][C]0.63[/C][C]218.223946705094[/C][C]9.00912249008579[/C][/ROW]
[ROW][C]0.64[/C][C]220.008014989297[/C][C]9.57060797663146[/C][/ROW]
[ROW][C]0.65[/C][C]221.904457772842[/C][C]10.1491292361147[/C][/ROW]
[ROW][C]0.66[/C][C]223.915048791097[/C][C]10.7018364318427[/C][/ROW]
[ROW][C]0.67[/C][C]226.035771070948[/C][C]11.1911825556259[/C][/ROW]
[ROW][C]0.68[/C][C]228.258322201455[/C][C]11.5930402195840[/C][/ROW]
[ROW][C]0.69[/C][C]230.572843016756[/C][C]11.9020422965239[/C][/ROW]
[ROW][C]0.7[/C][C]232.971592627083[/C][C]12.1351387343518[/C][/ROW]
[ROW][C]0.71[/C][C]235.453129417204[/C][C]12.3322285865437[/C][/ROW]
[ROW][C]0.72[/C][C]238.026467652339[/C][C]12.5551374657049[/C][/ROW]
[ROW][C]0.73[/C][C]240.714652308712[/C][C]12.8816090942042[/C][/ROW]
[ROW][C]0.74[/C][C]243.557199301008[/C][C]13.3983075905803[/C][/ROW]
[ROW][C]0.75[/C][C]246.610855216336[/C][C]14.1910845799262[/C][/ROW]
[ROW][C]0.76[/C][C]249.948142838705[/C][C]15.3301281824205[/C][/ROW]
[ROW][C]0.77[/C][C]253.653232374080[/C][C]16.8560007374502[/C][/ROW]
[ROW][C]0.78[/C][C]257.814916871165[/C][C]18.7645713678692[/C][/ROW]
[ROW][C]0.79[/C][C]262.516977621800[/C][C]20.9955209618305[/C][/ROW]
[ROW][C]0.8[/C][C]267.827021362791[/C][C]23.4302269137045[/C][/ROW]
[ROW][C]0.81[/C][C]273.785804337258[/C][C]25.8996591966442[/C][/ROW]
[ROW][C]0.82[/C][C]280.399774907944[/C][C]28.2056568477552[/C][/ROW]
[ROW][C]0.83[/C][C]287.639602590003[/C][C]30.1585283822033[/C][/ROW]
[ROW][C]0.84[/C][C]295.446477798649[/C][C]31.6191426097346[/C][/ROW]
[ROW][C]0.85[/C][C]303.746042291288[/C][C]32.5347458572868[/C][/ROW]
[ROW][C]0.86[/C][C]312.467595684858[/C][C]32.9569892593902[/C][/ROW]
[ROW][C]0.87[/C][C]321.564727190111[/C][C]33.0271891987873[/C][/ROW]
[ROW][C]0.88[/C][C]331.033483124591[/C][C]32.9366354136422[/C][/ROW]
[ROW][C]0.89[/C][C]340.925362261652[/C][C]32.8792906200108[/C][/ROW]
[ROW][C]0.9[/C][C]351.353497045759[/C][C]33.0238585562224[/C][/ROW]
[ROW][C]0.91[/C][C]362.48982812273[/C][C]33.5003916505993[/C][/ROW]
[ROW][C]0.92[/C][C]374.548680705558[/C][C]34.366765394951[/C][/ROW]
[ROW][C]0.93[/C][C]387.749193803043[/C][C]35.5291676310551[/C][/ROW]
[ROW][C]0.94[/C][C]402.246536295848[/C][C]36.6593788411711[/C][/ROW]
[ROW][C]0.95[/C][C]418.019753577311[/C][C]37.1827911851019[/C][/ROW]
[ROW][C]0.96[/C][C]434.707421327132[/C][C]36.2806862494534[/C][/ROW]
[ROW][C]0.97[/C][C]451.40945771396[/C][C]32.8343686790622[/C][/ROW]
[ROW][C]0.98[/C][C]466.547106587669[/C][C]25.7955937778718[/C][/ROW]
[ROW][C]0.99[/C][C]477.999302626075[/C][C]16.1590953129109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38770&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38770&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
0.0190.8901709289342.16033469382275
0.0292.33183155898973.07858388020421
0.0394.12099603737073.63763284528387
0.0495.98352931830183.80474071065874
0.0597.75648021359983.75987809902380
0.0699.37274007340463.62978550358153
0.07100.8249867187223.48628498034911
0.08102.1385884081063.39926281670198
0.09103.3569584096463.44353176770144
0.1104.5335844429723.67502624142815
0.11105.7257418513054.11194210405793
0.12106.9885203328304.73832265982938
0.13108.3698839599235.52170995987189
0.14109.9075251327176.42457310494366
0.15111.6274876752137.40884721033068
0.16113.5439594079688.4347983862045
0.17115.6595883764449.45873051225369
0.18117.96599821722110.4327069741754
0.19120.44456544072011.3081612422176
0.2123.0677424196712.0417657586159
0.21125.80118152791912.6018361308182
0.22128.60669466737512.9734108160322
0.23131.44580098652413.1614598720312
0.24134.28340432031113.1896956258414
0.25137.09107250904313.0977944911895
0.26139.84946186108712.9353610402235
0.27142.54958984087912.7567160616931
0.28145.19284393260712.6153592744537
0.29147.78977964287212.5565370613875
0.3150.35788975187912.6126318803941
0.31152.91862437495812.7973794432985
0.32155.49401490970213.1033415834477
0.33158.10330334313413.5022420906165
0.34160.75998963009513.9490644096254
0.35163.4696687224414.3900123261448
0.36166.22892830299114.7695427472126
0.37169.02542753035115.0363741562628
0.38171.83910195915315.1531443687996
0.39174.64427564198015.0965764620615
0.4177.41234197897514.8604047914155
0.41180.11462184444114.4550737724026
0.42182.72502486467813.9045166638384
0.43185.22221441753913.2424551492482
0.44187.59108498354112.5087362476947
0.45189.82347553046611.7442990164145
0.46191.91814368997110.9886314972235
0.47193.88010146259210.2759816458175
0.48195.7194629080169.63262995145403
0.49197.4499830410109.07724636053878
0.5199.0874815149818.61779205603167
0.51200.6483478735028.25318504558468
0.52202.1483150518297.9746434236773
0.53203.6016581526187.76801568856847
0.54205.0209199168167.61821001024108
0.55206.4171813734137.51334865896604
0.56207.8007935624317.44849617876345
0.57209.1823818394017.42756267880574
0.58210.5738532669327.46348278672082
0.59211.9891060524157.574423996256
0.6213.4441765480767.77902439427661
0.61214.9566676002128.08945994042873
0.62216.5444663932838.50516126703889
0.63218.2239467050949.00912249008579
0.64220.0080149892979.57060797663146
0.65221.90445777284210.1491292361147
0.66223.91504879109710.7018364318427
0.67226.03577107094811.1911825556259
0.68228.25832220145511.5930402195840
0.69230.57284301675611.9020422965239
0.7232.97159262708312.1351387343518
0.71235.45312941720412.3322285865437
0.72238.02646765233912.5551374657049
0.73240.71465230871212.8816090942042
0.74243.55719930100813.3983075905803
0.75246.61085521633614.1910845799262
0.76249.94814283870515.3301281824205
0.77253.65323237408016.8560007374502
0.78257.81491687116518.7645713678692
0.79262.51697762180020.9955209618305
0.8267.82702136279123.4302269137045
0.81273.78580433725825.8996591966442
0.82280.39977490794428.2056568477552
0.83287.63960259000330.1585283822033
0.84295.44647779864931.6191426097346
0.85303.74604229128832.5347458572868
0.86312.46759568485832.9569892593902
0.87321.56472719011133.0271891987873
0.88331.03348312459132.9366354136422
0.89340.92536226165232.8792906200108
0.9351.35349704575933.0238585562224
0.91362.4898281227333.5003916505993
0.92374.54868070555834.366765394951
0.93387.74919380304335.5291676310551
0.94402.24653629584836.6593788411711
0.95418.01975357731137.1827911851019
0.96434.70742132713236.2806862494534
0.97451.4094577139632.8343686790622
0.98466.54710658766925.7955937778718
0.99477.99930262607516.1590953129109


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')