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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 computationWed, 12 Oct 2011 14:23:35 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318444229eoi4xakqm87q11b.htm/, Retrieved Fri, 10 May 2024 11:56:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128479, Retrieved Fri, 10 May 2024 11:56:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact89

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] [Percentielen aant...] [2011-10-12 18:23:35] [08867764ea6bb9e6f4e56ad4eb4305bb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
121
117.7
115.4
114.3
109.5
108.1
108.2
99.1
101.2
98.1
95.5
97.9
98.2
98.7
95.6
95.8
94.4
96.5
103.3
104.3
104.5
102.3
103.8
103.1
102.2
106.3
102.1
94
102.6
102.6
106.7
107.9
109.3
105.9
109.1
108.5
111.7
109.8
109.1
108.5
108.5
106.2
117.1
109.8
115.2
115.9
119.2
121
118.6
117.6
114.6
110.6
102.5
101.6
107.4
105.8
102.8
104
100.4
100.6
107.9
106.9
106.5
103
90.5
90.6
94.4
89.4
92.5
94.4
91.7
93.3

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' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128479&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128479&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128479&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0189.71940012129250.915665688119765
0.0290.19468973590930.817078831803242
0.0390.7039543009810.91011658205488
0.0491.21181467377881.07931691423593
0.0591.71830350778381.20412525075274
0.0692.21784983618251.24867642671376
0.0792.69588935738621.22488259847085
0.0893.13879629947891.16167502494617
0.0993.54051556339671.08980549132938
0.193.90342654167071.03534376457677
0.1194.23602368869671.01580008943521
0.1294.5497583402771.03768715119785
0.1394.85623028530161.09630887234092
0.1495.1651939393051.18058255945334
0.1595.48348707922661.27754344240485
0.1695.81478530323321.37604530791403
0.1796.15996230062371.46728656057941
0.1896.51779175241931.54573069062876
0.1996.88574927985361.60875183961234
0.297.26073314645951.65649098738826
0.2197.6395932274711.690199555156
0.2298.01942471295591.7121611294363
0.2398.39764097557781.72369986805552
0.2498.7718851975951.72475767863339
0.2599.13986697303571.7142311903525
0.2699.49921322597591.69013079348857
0.2799.84740272501181.65052560775543
0.28100.1818175611351.59434433069331
0.29100.4999051870751.52217430984893
0.3100.7994128904521.43634139698057
0.31101.0786404099081.34033753295723
0.32101.3366571277791.23905580730903
0.33101.5734439445021.13774708480205
0.34101.7899399466691.04219128255199
0.35101.9879938098180.957382639739332
0.36102.1702349886290.88749316467328
0.37102.3398881979020.83609042145409
0.38102.5005567599490.805231767646721
0.39102.6559977394090.795312478802522
0.4102.8099065463510.805700006379918
0.41102.9657228487250.833987890907943
0.42103.1264646687930.87747115773086
0.43103.2945942713710.932246301589551
0.44103.4719180626790.994268480526132
0.45103.659522813471.05911767456156
0.46103.8577512725021.12279062107781
0.47104.0662206004151.18140861398813
0.48104.2838860476881.23133271243911
0.49104.5091493182191.26968517381141
0.5104.7400061386591.29481210804974
0.51104.9742214861931.30563703663823
0.52105.2095151567361.30286949187866
0.53105.4437366232551.28752814419564
0.54105.6750079639561.2619450286038
0.55105.9018177999141.22888369438788
0.56106.1230573108691.19086980272831
0.57106.3379999552841.15038152143212
0.58106.5462371123971.10909961320873
0.59106.7475898819351.06800055764225
0.6106.9420206647371.02741001042408
0.61107.1295660479480.987166543818459
0.62107.3103055868930.947002806172878
0.63107.4843713397430.90694986387593
0.64107.6519933049290.867352520961503
0.65107.81356904520.829413535985551
0.66107.9697436853540.794359870761141
0.67108.1214895470990.764453312756629
0.68108.2701815580380.741642393551159
0.69108.4176722942280.728311796094354
0.7108.5663752229320.72708793737427
0.71108.719362646680.740761206736257
0.72108.8804736288950.772820419726318
0.73109.0544071288760.827231909896396
0.74109.2467508200620.908294158455792
0.75109.463874940281.01924455356902
0.76109.7126146118681.16161437220493
0.77109.9996853390851.33301296157846
0.78110.3308322561271.5264194199968
0.79110.7098009438011.72953144245517
0.8111.1373174851741.92544188844815
0.81111.6103432897282.09453579822075
0.82112.1218833938742.21784989378118
0.83112.6615414331142.28102461091159
0.84113.2168269384532.27761588547479
0.85113.7749759383722.21135638872815
0.86114.3248369817482.0955616361669
0.87114.8583139054011.94964624145103
0.88115.3710197385081.79377288949234
0.89115.862160636141.64331137395247
0.9116.3340846502081.50602141619504
0.91116.7921556075011.38482587565845
0.92117.2454039512991.28410656159555
0.93117.7076011553491.21479192589972
0.94118.1969799146961.19231753178589
0.95118.7311747244461.22216596904665
0.96119.3137850009471.27131343343257
0.97119.9140654478681.24030681557834
0.98120.4545668047590.989770322143695
0.99120.8344436665870.488083003034747

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 89.7194001212925 & 0.915665688119765 \tabularnewline
0.02 & 90.1946897359093 & 0.817078831803242 \tabularnewline
0.03 & 90.703954300981 & 0.91011658205488 \tabularnewline
0.04 & 91.2118146737788 & 1.07931691423593 \tabularnewline
0.05 & 91.7183035077838 & 1.20412525075274 \tabularnewline
0.06 & 92.2178498361825 & 1.24867642671376 \tabularnewline
0.07 & 92.6958893573862 & 1.22488259847085 \tabularnewline
0.08 & 93.1387962994789 & 1.16167502494617 \tabularnewline
0.09 & 93.5405155633967 & 1.08980549132938 \tabularnewline
0.1 & 93.9034265416707 & 1.03534376457677 \tabularnewline
0.11 & 94.2360236886967 & 1.01580008943521 \tabularnewline
0.12 & 94.549758340277 & 1.03768715119785 \tabularnewline
0.13 & 94.8562302853016 & 1.09630887234092 \tabularnewline
0.14 & 95.165193939305 & 1.18058255945334 \tabularnewline
0.15 & 95.4834870792266 & 1.27754344240485 \tabularnewline
0.16 & 95.8147853032332 & 1.37604530791403 \tabularnewline
0.17 & 96.1599623006237 & 1.46728656057941 \tabularnewline
0.18 & 96.5177917524193 & 1.54573069062876 \tabularnewline
0.19 & 96.8857492798536 & 1.60875183961234 \tabularnewline
0.2 & 97.2607331464595 & 1.65649098738826 \tabularnewline
0.21 & 97.639593227471 & 1.690199555156 \tabularnewline
0.22 & 98.0194247129559 & 1.7121611294363 \tabularnewline
0.23 & 98.3976409755778 & 1.72369986805552 \tabularnewline
0.24 & 98.771885197595 & 1.72475767863339 \tabularnewline
0.25 & 99.1398669730357 & 1.7142311903525 \tabularnewline
0.26 & 99.4992132259759 & 1.69013079348857 \tabularnewline
0.27 & 99.8474027250118 & 1.65052560775543 \tabularnewline
0.28 & 100.181817561135 & 1.59434433069331 \tabularnewline
0.29 & 100.499905187075 & 1.52217430984893 \tabularnewline
0.3 & 100.799412890452 & 1.43634139698057 \tabularnewline
0.31 & 101.078640409908 & 1.34033753295723 \tabularnewline
0.32 & 101.336657127779 & 1.23905580730903 \tabularnewline
0.33 & 101.573443944502 & 1.13774708480205 \tabularnewline
0.34 & 101.789939946669 & 1.04219128255199 \tabularnewline
0.35 & 101.987993809818 & 0.957382639739332 \tabularnewline
0.36 & 102.170234988629 & 0.88749316467328 \tabularnewline
0.37 & 102.339888197902 & 0.83609042145409 \tabularnewline
0.38 & 102.500556759949 & 0.805231767646721 \tabularnewline
0.39 & 102.655997739409 & 0.795312478802522 \tabularnewline
0.4 & 102.809906546351 & 0.805700006379918 \tabularnewline
0.41 & 102.965722848725 & 0.833987890907943 \tabularnewline
0.42 & 103.126464668793 & 0.87747115773086 \tabularnewline
0.43 & 103.294594271371 & 0.932246301589551 \tabularnewline
0.44 & 103.471918062679 & 0.994268480526132 \tabularnewline
0.45 & 103.65952281347 & 1.05911767456156 \tabularnewline
0.46 & 103.857751272502 & 1.12279062107781 \tabularnewline
0.47 & 104.066220600415 & 1.18140861398813 \tabularnewline
0.48 & 104.283886047688 & 1.23133271243911 \tabularnewline
0.49 & 104.509149318219 & 1.26968517381141 \tabularnewline
0.5 & 104.740006138659 & 1.29481210804974 \tabularnewline
0.51 & 104.974221486193 & 1.30563703663823 \tabularnewline
0.52 & 105.209515156736 & 1.30286949187866 \tabularnewline
0.53 & 105.443736623255 & 1.28752814419564 \tabularnewline
0.54 & 105.675007963956 & 1.2619450286038 \tabularnewline
0.55 & 105.901817799914 & 1.22888369438788 \tabularnewline
0.56 & 106.123057310869 & 1.19086980272831 \tabularnewline
0.57 & 106.337999955284 & 1.15038152143212 \tabularnewline
0.58 & 106.546237112397 & 1.10909961320873 \tabularnewline
0.59 & 106.747589881935 & 1.06800055764225 \tabularnewline
0.6 & 106.942020664737 & 1.02741001042408 \tabularnewline
0.61 & 107.129566047948 & 0.987166543818459 \tabularnewline
0.62 & 107.310305586893 & 0.947002806172878 \tabularnewline
0.63 & 107.484371339743 & 0.90694986387593 \tabularnewline
0.64 & 107.651993304929 & 0.867352520961503 \tabularnewline
0.65 & 107.8135690452 & 0.829413535985551 \tabularnewline
0.66 & 107.969743685354 & 0.794359870761141 \tabularnewline
0.67 & 108.121489547099 & 0.764453312756629 \tabularnewline
0.68 & 108.270181558038 & 0.741642393551159 \tabularnewline
0.69 & 108.417672294228 & 0.728311796094354 \tabularnewline
0.7 & 108.566375222932 & 0.72708793737427 \tabularnewline
0.71 & 108.71936264668 & 0.740761206736257 \tabularnewline
0.72 & 108.880473628895 & 0.772820419726318 \tabularnewline
0.73 & 109.054407128876 & 0.827231909896396 \tabularnewline
0.74 & 109.246750820062 & 0.908294158455792 \tabularnewline
0.75 & 109.46387494028 & 1.01924455356902 \tabularnewline
0.76 & 109.712614611868 & 1.16161437220493 \tabularnewline
0.77 & 109.999685339085 & 1.33301296157846 \tabularnewline
0.78 & 110.330832256127 & 1.5264194199968 \tabularnewline
0.79 & 110.709800943801 & 1.72953144245517 \tabularnewline
0.8 & 111.137317485174 & 1.92544188844815 \tabularnewline
0.81 & 111.610343289728 & 2.09453579822075 \tabularnewline
0.82 & 112.121883393874 & 2.21784989378118 \tabularnewline
0.83 & 112.661541433114 & 2.28102461091159 \tabularnewline
0.84 & 113.216826938453 & 2.27761588547479 \tabularnewline
0.85 & 113.774975938372 & 2.21135638872815 \tabularnewline
0.86 & 114.324836981748 & 2.0955616361669 \tabularnewline
0.87 & 114.858313905401 & 1.94964624145103 \tabularnewline
0.88 & 115.371019738508 & 1.79377288949234 \tabularnewline
0.89 & 115.86216063614 & 1.64331137395247 \tabularnewline
0.9 & 116.334084650208 & 1.50602141619504 \tabularnewline
0.91 & 116.792155607501 & 1.38482587565845 \tabularnewline
0.92 & 117.245403951299 & 1.28410656159555 \tabularnewline
0.93 & 117.707601155349 & 1.21479192589972 \tabularnewline
0.94 & 118.196979914696 & 1.19231753178589 \tabularnewline
0.95 & 118.731174724446 & 1.22216596904665 \tabularnewline
0.96 & 119.313785000947 & 1.27131343343257 \tabularnewline
0.97 & 119.914065447868 & 1.24030681557834 \tabularnewline
0.98 & 120.454566804759 & 0.989770322143695 \tabularnewline
0.99 & 120.834443666587 & 0.488083003034747 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128479&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]89.7194001212925[/C][C]0.915665688119765[/C][/ROW]
[ROW][C]0.02[/C][C]90.1946897359093[/C][C]0.817078831803242[/C][/ROW]
[ROW][C]0.03[/C][C]90.703954300981[/C][C]0.91011658205488[/C][/ROW]
[ROW][C]0.04[/C][C]91.2118146737788[/C][C]1.07931691423593[/C][/ROW]
[ROW][C]0.05[/C][C]91.7183035077838[/C][C]1.20412525075274[/C][/ROW]
[ROW][C]0.06[/C][C]92.2178498361825[/C][C]1.24867642671376[/C][/ROW]
[ROW][C]0.07[/C][C]92.6958893573862[/C][C]1.22488259847085[/C][/ROW]
[ROW][C]0.08[/C][C]93.1387962994789[/C][C]1.16167502494617[/C][/ROW]
[ROW][C]0.09[/C][C]93.5405155633967[/C][C]1.08980549132938[/C][/ROW]
[ROW][C]0.1[/C][C]93.9034265416707[/C][C]1.03534376457677[/C][/ROW]
[ROW][C]0.11[/C][C]94.2360236886967[/C][C]1.01580008943521[/C][/ROW]
[ROW][C]0.12[/C][C]94.549758340277[/C][C]1.03768715119785[/C][/ROW]
[ROW][C]0.13[/C][C]94.8562302853016[/C][C]1.09630887234092[/C][/ROW]
[ROW][C]0.14[/C][C]95.165193939305[/C][C]1.18058255945334[/C][/ROW]
[ROW][C]0.15[/C][C]95.4834870792266[/C][C]1.27754344240485[/C][/ROW]
[ROW][C]0.16[/C][C]95.8147853032332[/C][C]1.37604530791403[/C][/ROW]
[ROW][C]0.17[/C][C]96.1599623006237[/C][C]1.46728656057941[/C][/ROW]
[ROW][C]0.18[/C][C]96.5177917524193[/C][C]1.54573069062876[/C][/ROW]
[ROW][C]0.19[/C][C]96.8857492798536[/C][C]1.60875183961234[/C][/ROW]
[ROW][C]0.2[/C][C]97.2607331464595[/C][C]1.65649098738826[/C][/ROW]
[ROW][C]0.21[/C][C]97.639593227471[/C][C]1.690199555156[/C][/ROW]
[ROW][C]0.22[/C][C]98.0194247129559[/C][C]1.7121611294363[/C][/ROW]
[ROW][C]0.23[/C][C]98.3976409755778[/C][C]1.72369986805552[/C][/ROW]
[ROW][C]0.24[/C][C]98.771885197595[/C][C]1.72475767863339[/C][/ROW]
[ROW][C]0.25[/C][C]99.1398669730357[/C][C]1.7142311903525[/C][/ROW]
[ROW][C]0.26[/C][C]99.4992132259759[/C][C]1.69013079348857[/C][/ROW]
[ROW][C]0.27[/C][C]99.8474027250118[/C][C]1.65052560775543[/C][/ROW]
[ROW][C]0.28[/C][C]100.181817561135[/C][C]1.59434433069331[/C][/ROW]
[ROW][C]0.29[/C][C]100.499905187075[/C][C]1.52217430984893[/C][/ROW]
[ROW][C]0.3[/C][C]100.799412890452[/C][C]1.43634139698057[/C][/ROW]
[ROW][C]0.31[/C][C]101.078640409908[/C][C]1.34033753295723[/C][/ROW]
[ROW][C]0.32[/C][C]101.336657127779[/C][C]1.23905580730903[/C][/ROW]
[ROW][C]0.33[/C][C]101.573443944502[/C][C]1.13774708480205[/C][/ROW]
[ROW][C]0.34[/C][C]101.789939946669[/C][C]1.04219128255199[/C][/ROW]
[ROW][C]0.35[/C][C]101.987993809818[/C][C]0.957382639739332[/C][/ROW]
[ROW][C]0.36[/C][C]102.170234988629[/C][C]0.88749316467328[/C][/ROW]
[ROW][C]0.37[/C][C]102.339888197902[/C][C]0.83609042145409[/C][/ROW]
[ROW][C]0.38[/C][C]102.500556759949[/C][C]0.805231767646721[/C][/ROW]
[ROW][C]0.39[/C][C]102.655997739409[/C][C]0.795312478802522[/C][/ROW]
[ROW][C]0.4[/C][C]102.809906546351[/C][C]0.805700006379918[/C][/ROW]
[ROW][C]0.41[/C][C]102.965722848725[/C][C]0.833987890907943[/C][/ROW]
[ROW][C]0.42[/C][C]103.126464668793[/C][C]0.87747115773086[/C][/ROW]
[ROW][C]0.43[/C][C]103.294594271371[/C][C]0.932246301589551[/C][/ROW]
[ROW][C]0.44[/C][C]103.471918062679[/C][C]0.994268480526132[/C][/ROW]
[ROW][C]0.45[/C][C]103.65952281347[/C][C]1.05911767456156[/C][/ROW]
[ROW][C]0.46[/C][C]103.857751272502[/C][C]1.12279062107781[/C][/ROW]
[ROW][C]0.47[/C][C]104.066220600415[/C][C]1.18140861398813[/C][/ROW]
[ROW][C]0.48[/C][C]104.283886047688[/C][C]1.23133271243911[/C][/ROW]
[ROW][C]0.49[/C][C]104.509149318219[/C][C]1.26968517381141[/C][/ROW]
[ROW][C]0.5[/C][C]104.740006138659[/C][C]1.29481210804974[/C][/ROW]
[ROW][C]0.51[/C][C]104.974221486193[/C][C]1.30563703663823[/C][/ROW]
[ROW][C]0.52[/C][C]105.209515156736[/C][C]1.30286949187866[/C][/ROW]
[ROW][C]0.53[/C][C]105.443736623255[/C][C]1.28752814419564[/C][/ROW]
[ROW][C]0.54[/C][C]105.675007963956[/C][C]1.2619450286038[/C][/ROW]
[ROW][C]0.55[/C][C]105.901817799914[/C][C]1.22888369438788[/C][/ROW]
[ROW][C]0.56[/C][C]106.123057310869[/C][C]1.19086980272831[/C][/ROW]
[ROW][C]0.57[/C][C]106.337999955284[/C][C]1.15038152143212[/C][/ROW]
[ROW][C]0.58[/C][C]106.546237112397[/C][C]1.10909961320873[/C][/ROW]
[ROW][C]0.59[/C][C]106.747589881935[/C][C]1.06800055764225[/C][/ROW]
[ROW][C]0.6[/C][C]106.942020664737[/C][C]1.02741001042408[/C][/ROW]
[ROW][C]0.61[/C][C]107.129566047948[/C][C]0.987166543818459[/C][/ROW]
[ROW][C]0.62[/C][C]107.310305586893[/C][C]0.947002806172878[/C][/ROW]
[ROW][C]0.63[/C][C]107.484371339743[/C][C]0.90694986387593[/C][/ROW]
[ROW][C]0.64[/C][C]107.651993304929[/C][C]0.867352520961503[/C][/ROW]
[ROW][C]0.65[/C][C]107.8135690452[/C][C]0.829413535985551[/C][/ROW]
[ROW][C]0.66[/C][C]107.969743685354[/C][C]0.794359870761141[/C][/ROW]
[ROW][C]0.67[/C][C]108.121489547099[/C][C]0.764453312756629[/C][/ROW]
[ROW][C]0.68[/C][C]108.270181558038[/C][C]0.741642393551159[/C][/ROW]
[ROW][C]0.69[/C][C]108.417672294228[/C][C]0.728311796094354[/C][/ROW]
[ROW][C]0.7[/C][C]108.566375222932[/C][C]0.72708793737427[/C][/ROW]
[ROW][C]0.71[/C][C]108.71936264668[/C][C]0.740761206736257[/C][/ROW]
[ROW][C]0.72[/C][C]108.880473628895[/C][C]0.772820419726318[/C][/ROW]
[ROW][C]0.73[/C][C]109.054407128876[/C][C]0.827231909896396[/C][/ROW]
[ROW][C]0.74[/C][C]109.246750820062[/C][C]0.908294158455792[/C][/ROW]
[ROW][C]0.75[/C][C]109.46387494028[/C][C]1.01924455356902[/C][/ROW]
[ROW][C]0.76[/C][C]109.712614611868[/C][C]1.16161437220493[/C][/ROW]
[ROW][C]0.77[/C][C]109.999685339085[/C][C]1.33301296157846[/C][/ROW]
[ROW][C]0.78[/C][C]110.330832256127[/C][C]1.5264194199968[/C][/ROW]
[ROW][C]0.79[/C][C]110.709800943801[/C][C]1.72953144245517[/C][/ROW]
[ROW][C]0.8[/C][C]111.137317485174[/C][C]1.92544188844815[/C][/ROW]
[ROW][C]0.81[/C][C]111.610343289728[/C][C]2.09453579822075[/C][/ROW]
[ROW][C]0.82[/C][C]112.121883393874[/C][C]2.21784989378118[/C][/ROW]
[ROW][C]0.83[/C][C]112.661541433114[/C][C]2.28102461091159[/C][/ROW]
[ROW][C]0.84[/C][C]113.216826938453[/C][C]2.27761588547479[/C][/ROW]
[ROW][C]0.85[/C][C]113.774975938372[/C][C]2.21135638872815[/C][/ROW]
[ROW][C]0.86[/C][C]114.324836981748[/C][C]2.0955616361669[/C][/ROW]
[ROW][C]0.87[/C][C]114.858313905401[/C][C]1.94964624145103[/C][/ROW]
[ROW][C]0.88[/C][C]115.371019738508[/C][C]1.79377288949234[/C][/ROW]
[ROW][C]0.89[/C][C]115.86216063614[/C][C]1.64331137395247[/C][/ROW]
[ROW][C]0.9[/C][C]116.334084650208[/C][C]1.50602141619504[/C][/ROW]
[ROW][C]0.91[/C][C]116.792155607501[/C][C]1.38482587565845[/C][/ROW]
[ROW][C]0.92[/C][C]117.245403951299[/C][C]1.28410656159555[/C][/ROW]
[ROW][C]0.93[/C][C]117.707601155349[/C][C]1.21479192589972[/C][/ROW]
[ROW][C]0.94[/C][C]118.196979914696[/C][C]1.19231753178589[/C][/ROW]
[ROW][C]0.95[/C][C]118.731174724446[/C][C]1.22216596904665[/C][/ROW]
[ROW][C]0.96[/C][C]119.313785000947[/C][C]1.27131343343257[/C][/ROW]
[ROW][C]0.97[/C][C]119.914065447868[/C][C]1.24030681557834[/C][/ROW]
[ROW][C]0.98[/C][C]120.454566804759[/C][C]0.989770322143695[/C][/ROW]
[ROW][C]0.99[/C][C]120.834443666587[/C][C]0.488083003034747[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128479&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128479&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
0.0189.71940012129250.915665688119765
0.0290.19468973590930.817078831803242
0.0390.7039543009810.91011658205488
0.0491.21181467377881.07931691423593
0.0591.71830350778381.20412525075274
0.0692.21784983618251.24867642671376
0.0792.69588935738621.22488259847085
0.0893.13879629947891.16167502494617
0.0993.54051556339671.08980549132938
0.193.90342654167071.03534376457677
0.1194.23602368869671.01580008943521
0.1294.5497583402771.03768715119785
0.1394.85623028530161.09630887234092
0.1495.1651939393051.18058255945334
0.1595.48348707922661.27754344240485
0.1695.81478530323321.37604530791403
0.1796.15996230062371.46728656057941
0.1896.51779175241931.54573069062876
0.1996.88574927985361.60875183961234
0.297.26073314645951.65649098738826
0.2197.6395932274711.690199555156
0.2298.01942471295591.7121611294363
0.2398.39764097557781.72369986805552
0.2498.7718851975951.72475767863339
0.2599.13986697303571.7142311903525
0.2699.49921322597591.69013079348857
0.2799.84740272501181.65052560775543
0.28100.1818175611351.59434433069331
0.29100.4999051870751.52217430984893
0.3100.7994128904521.43634139698057
0.31101.0786404099081.34033753295723
0.32101.3366571277791.23905580730903
0.33101.5734439445021.13774708480205
0.34101.7899399466691.04219128255199
0.35101.9879938098180.957382639739332
0.36102.1702349886290.88749316467328
0.37102.3398881979020.83609042145409
0.38102.5005567599490.805231767646721
0.39102.6559977394090.795312478802522
0.4102.8099065463510.805700006379918
0.41102.9657228487250.833987890907943
0.42103.1264646687930.87747115773086
0.43103.2945942713710.932246301589551
0.44103.4719180626790.994268480526132
0.45103.659522813471.05911767456156
0.46103.8577512725021.12279062107781
0.47104.0662206004151.18140861398813
0.48104.2838860476881.23133271243911
0.49104.5091493182191.26968517381141
0.5104.7400061386591.29481210804974
0.51104.9742214861931.30563703663823
0.52105.2095151567361.30286949187866
0.53105.4437366232551.28752814419564
0.54105.6750079639561.2619450286038
0.55105.9018177999141.22888369438788
0.56106.1230573108691.19086980272831
0.57106.3379999552841.15038152143212
0.58106.5462371123971.10909961320873
0.59106.7475898819351.06800055764225
0.6106.9420206647371.02741001042408
0.61107.1295660479480.987166543818459
0.62107.3103055868930.947002806172878
0.63107.4843713397430.90694986387593
0.64107.6519933049290.867352520961503
0.65107.81356904520.829413535985551
0.66107.9697436853540.794359870761141
0.67108.1214895470990.764453312756629
0.68108.2701815580380.741642393551159
0.69108.4176722942280.728311796094354
0.7108.5663752229320.72708793737427
0.71108.719362646680.740761206736257
0.72108.8804736288950.772820419726318
0.73109.0544071288760.827231909896396
0.74109.2467508200620.908294158455792
0.75109.463874940281.01924455356902
0.76109.7126146118681.16161437220493
0.77109.9996853390851.33301296157846
0.78110.3308322561271.5264194199968
0.79110.7098009438011.72953144245517
0.8111.1373174851741.92544188844815
0.81111.6103432897282.09453579822075
0.82112.1218833938742.21784989378118
0.83112.6615414331142.28102461091159
0.84113.2168269384532.27761588547479
0.85113.7749759383722.21135638872815
0.86114.3248369817482.0955616361669
0.87114.8583139054011.94964624145103
0.88115.3710197385081.79377288949234
0.89115.862160636141.64331137395247
0.9116.3340846502081.50602141619504
0.91116.7921556075011.38482587565845
0.92117.2454039512991.28410656159555
0.93117.7076011553491.21479192589972
0.94118.1969799146961.19231753178589
0.95118.7311747244461.22216596904665
0.96119.3137850009471.27131343343257
0.97119.9140654478681.24030681557834
0.98120.4545668047590.989770322143695
0.99120.8344436665870.488083003034747


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')