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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 computationThu, 18 Dec 2014 07:59:57 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/18/t1418890099gvgtd03y554097d.htm/, Retrieved Sun, 19 May 2024 19:18:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270758, Retrieved Sun, 19 May 2024 19:18:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kernel Density Estimation] [] [2011-10-18 22:42:23] [b98453cac15ba1066b407e146608df68]
- RMPD    [Percentiles] [] [2011-10-18 22:46:45] [b98453cac15ba1066b407e146608df68]
- RMPD      [Notched Boxplots] [] [2011-10-18 22:58:56] [b98453cac15ba1066b407e146608df68]
- RMP         [Notched Boxplots] [] [2014-10-16 18:35:18] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD            [Harrell-Davis Quantiles] [] [2014-12-18 07:59:57] [88f8137dd67cdcd531568536dca46410] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270758&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270758&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270758&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.698953183735360.989049858310462
0.024.612930094831791.66084721235744
0.036.730403119254981.96245545093195
0.048.539762394686351.55343021574675
0.059.83271927885241.31031757003817
0.0610.86317416970781.26919182441644
0.0711.79503483788241.2927491949453
0.0812.67411433227611.29927244013867
0.0913.48047504399081.20776323266089
0.114.15673137830820.983459352973342
0.1114.66430937616030.723078548476532
0.1215.02841583671330.554223028829301
0.1315.31066087028770.490706087495226
0.1415.55355995669910.453449212859797
0.1515.76697807780430.402337172410126
0.1615.95390406123190.367201022593133
0.1716.12967840088990.384158919405962
0.1816.31488236914480.43988615890042
0.1916.51950581723980.493326935407391
0.216.73918666881890.521059115786021
0.2116.96367221729730.526545222641401
0.2217.18448115477930.518615746198531
0.2317.39481503824810.493810242942341
0.2417.58685363273520.444966994995789
0.2517.75360529299740.379892365253982
0.2617.89466213856310.324444434151144
0.2718.01922794924570.306395265249247
0.2818.14215984174470.33156984275309
0.2918.27535624365780.376433637198526
0.318.42065639731250.406569525487608
0.3118.56896547002570.397730904311754
0.3218.70572599265650.346928669039156
0.3318.81885706571010.271397591994707
0.3418.90449524527920.19780852356339
0.3518.96819987115810.151118520276121
0.3619.02230643470330.147791772819633
0.3719.08149387671380.18806060854973
0.3819.15820453380370.256352239643294
0.3919.25881205214660.329946310062131
0.419.38140552964030.384261827739238
0.4119.51623491858610.400531842879154
0.4219.64918686840240.37351986973089
0.4319.76712261456290.31392255568348
0.4419.86273893641560.243586070106182
0.4519.93689975940360.186919118551963
0.4619.99785802329350.164300509257872
0.4720.05818644825620.18477318301781
0.4820.13072426915550.240897492718536
0.4920.22470555469350.314732157803737
0.520.34314116385930.385333516012564
0.5120.48249422699550.435486045772386
0.5220.63506937502620.458758183525185
0.5320.79308860203950.46181605763713
0.5420.95207706997610.458996350990628
0.5521.11134346863380.460564785837832
0.5621.27135488990380.464040323062389
0.5721.43024838699750.456853528580423
0.5821.58251543714380.427860877379203
0.5921.72125794593040.378075913385483
0.621.8426343250770.322884074514216
0.6121.94937608624310.285540528004941
0.6222.05075246441350.284400277531595
0.6322.15855229540420.31884765743181
0.6422.28105399297210.367778972251395
0.6522.41824608863690.40230404554539
0.6622.5610574452530.399974797332101
0.6722.69517356260480.354709114119972
0.6822.80731598435110.278432170528364
0.6922.89049566407180.193364099298654
0.722.94581685840470.120996086323889
0.7122.98101657376250.0755893934640978
0.7223.00783861064490.0663929144713018
0.7323.04004041840150.0976176405264452
0.7423.09186280848990.164212918239102
0.7523.17527740015020.25389987682948
0.7623.29522755528980.342451996911566
0.7723.44524714446150.39862438154355
0.7823.60820966233610.401822782615348
0.7923.7647995412380.359854291577203
0.823.90578463902160.310105563074635
0.8124.03885781235010.298226031087797
0.8224.18273115323780.338434204587369
0.8324.35064517920460.393720114876593
0.8424.53589181664990.409029356763448
0.8524.71343963410640.357892529792222
0.8624.8595558908020.267116233150962
0.8724.97492266149670.203623050168578
0.8825.09256710616670.235009470727873
0.8925.26268042967730.361229760637467
0.925.5222567133780.515577860965407
0.9125.87031851219810.620927666124707
0.9226.26633644358240.630146877109234
0.9326.65572650361420.551462653497149
0.9427.02086747824560.480606193682957
0.9527.39946694432070.487849846954491
0.9627.81438245663490.471356763430571
0.9728.2867748262930.485368544003387
0.9828.86705350295660.482944993007765
0.9929.60332677325530.48336315394267

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.69895318373536 & 0.989049858310462 \tabularnewline
0.02 & 4.61293009483179 & 1.66084721235744 \tabularnewline
0.03 & 6.73040311925498 & 1.96245545093195 \tabularnewline
0.04 & 8.53976239468635 & 1.55343021574675 \tabularnewline
0.05 & 9.8327192788524 & 1.31031757003817 \tabularnewline
0.06 & 10.8631741697078 & 1.26919182441644 \tabularnewline
0.07 & 11.7950348378824 & 1.2927491949453 \tabularnewline
0.08 & 12.6741143322761 & 1.29927244013867 \tabularnewline
0.09 & 13.4804750439908 & 1.20776323266089 \tabularnewline
0.1 & 14.1567313783082 & 0.983459352973342 \tabularnewline
0.11 & 14.6643093761603 & 0.723078548476532 \tabularnewline
0.12 & 15.0284158367133 & 0.554223028829301 \tabularnewline
0.13 & 15.3106608702877 & 0.490706087495226 \tabularnewline
0.14 & 15.5535599566991 & 0.453449212859797 \tabularnewline
0.15 & 15.7669780778043 & 0.402337172410126 \tabularnewline
0.16 & 15.9539040612319 & 0.367201022593133 \tabularnewline
0.17 & 16.1296784008899 & 0.384158919405962 \tabularnewline
0.18 & 16.3148823691448 & 0.43988615890042 \tabularnewline
0.19 & 16.5195058172398 & 0.493326935407391 \tabularnewline
0.2 & 16.7391866688189 & 0.521059115786021 \tabularnewline
0.21 & 16.9636722172973 & 0.526545222641401 \tabularnewline
0.22 & 17.1844811547793 & 0.518615746198531 \tabularnewline
0.23 & 17.3948150382481 & 0.493810242942341 \tabularnewline
0.24 & 17.5868536327352 & 0.444966994995789 \tabularnewline
0.25 & 17.7536052929974 & 0.379892365253982 \tabularnewline
0.26 & 17.8946621385631 & 0.324444434151144 \tabularnewline
0.27 & 18.0192279492457 & 0.306395265249247 \tabularnewline
0.28 & 18.1421598417447 & 0.33156984275309 \tabularnewline
0.29 & 18.2753562436578 & 0.376433637198526 \tabularnewline
0.3 & 18.4206563973125 & 0.406569525487608 \tabularnewline
0.31 & 18.5689654700257 & 0.397730904311754 \tabularnewline
0.32 & 18.7057259926565 & 0.346928669039156 \tabularnewline
0.33 & 18.8188570657101 & 0.271397591994707 \tabularnewline
0.34 & 18.9044952452792 & 0.19780852356339 \tabularnewline
0.35 & 18.9681998711581 & 0.151118520276121 \tabularnewline
0.36 & 19.0223064347033 & 0.147791772819633 \tabularnewline
0.37 & 19.0814938767138 & 0.18806060854973 \tabularnewline
0.38 & 19.1582045338037 & 0.256352239643294 \tabularnewline
0.39 & 19.2588120521466 & 0.329946310062131 \tabularnewline
0.4 & 19.3814055296403 & 0.384261827739238 \tabularnewline
0.41 & 19.5162349185861 & 0.400531842879154 \tabularnewline
0.42 & 19.6491868684024 & 0.37351986973089 \tabularnewline
0.43 & 19.7671226145629 & 0.31392255568348 \tabularnewline
0.44 & 19.8627389364156 & 0.243586070106182 \tabularnewline
0.45 & 19.9368997594036 & 0.186919118551963 \tabularnewline
0.46 & 19.9978580232935 & 0.164300509257872 \tabularnewline
0.47 & 20.0581864482562 & 0.18477318301781 \tabularnewline
0.48 & 20.1307242691555 & 0.240897492718536 \tabularnewline
0.49 & 20.2247055546935 & 0.314732157803737 \tabularnewline
0.5 & 20.3431411638593 & 0.385333516012564 \tabularnewline
0.51 & 20.4824942269955 & 0.435486045772386 \tabularnewline
0.52 & 20.6350693750262 & 0.458758183525185 \tabularnewline
0.53 & 20.7930886020395 & 0.46181605763713 \tabularnewline
0.54 & 20.9520770699761 & 0.458996350990628 \tabularnewline
0.55 & 21.1113434686338 & 0.460564785837832 \tabularnewline
0.56 & 21.2713548899038 & 0.464040323062389 \tabularnewline
0.57 & 21.4302483869975 & 0.456853528580423 \tabularnewline
0.58 & 21.5825154371438 & 0.427860877379203 \tabularnewline
0.59 & 21.7212579459304 & 0.378075913385483 \tabularnewline
0.6 & 21.842634325077 & 0.322884074514216 \tabularnewline
0.61 & 21.9493760862431 & 0.285540528004941 \tabularnewline
0.62 & 22.0507524644135 & 0.284400277531595 \tabularnewline
0.63 & 22.1585522954042 & 0.31884765743181 \tabularnewline
0.64 & 22.2810539929721 & 0.367778972251395 \tabularnewline
0.65 & 22.4182460886369 & 0.40230404554539 \tabularnewline
0.66 & 22.561057445253 & 0.399974797332101 \tabularnewline
0.67 & 22.6951735626048 & 0.354709114119972 \tabularnewline
0.68 & 22.8073159843511 & 0.278432170528364 \tabularnewline
0.69 & 22.8904956640718 & 0.193364099298654 \tabularnewline
0.7 & 22.9458168584047 & 0.120996086323889 \tabularnewline
0.71 & 22.9810165737625 & 0.0755893934640978 \tabularnewline
0.72 & 23.0078386106449 & 0.0663929144713018 \tabularnewline
0.73 & 23.0400404184015 & 0.0976176405264452 \tabularnewline
0.74 & 23.0918628084899 & 0.164212918239102 \tabularnewline
0.75 & 23.1752774001502 & 0.25389987682948 \tabularnewline
0.76 & 23.2952275552898 & 0.342451996911566 \tabularnewline
0.77 & 23.4452471444615 & 0.39862438154355 \tabularnewline
0.78 & 23.6082096623361 & 0.401822782615348 \tabularnewline
0.79 & 23.764799541238 & 0.359854291577203 \tabularnewline
0.8 & 23.9057846390216 & 0.310105563074635 \tabularnewline
0.81 & 24.0388578123501 & 0.298226031087797 \tabularnewline
0.82 & 24.1827311532378 & 0.338434204587369 \tabularnewline
0.83 & 24.3506451792046 & 0.393720114876593 \tabularnewline
0.84 & 24.5358918166499 & 0.409029356763448 \tabularnewline
0.85 & 24.7134396341064 & 0.357892529792222 \tabularnewline
0.86 & 24.859555890802 & 0.267116233150962 \tabularnewline
0.87 & 24.9749226614967 & 0.203623050168578 \tabularnewline
0.88 & 25.0925671061667 & 0.235009470727873 \tabularnewline
0.89 & 25.2626804296773 & 0.361229760637467 \tabularnewline
0.9 & 25.522256713378 & 0.515577860965407 \tabularnewline
0.91 & 25.8703185121981 & 0.620927666124707 \tabularnewline
0.92 & 26.2663364435824 & 0.630146877109234 \tabularnewline
0.93 & 26.6557265036142 & 0.551462653497149 \tabularnewline
0.94 & 27.0208674782456 & 0.480606193682957 \tabularnewline
0.95 & 27.3994669443207 & 0.487849846954491 \tabularnewline
0.96 & 27.8143824566349 & 0.471356763430571 \tabularnewline
0.97 & 28.286774826293 & 0.485368544003387 \tabularnewline
0.98 & 28.8670535029566 & 0.482944993007765 \tabularnewline
0.99 & 29.6033267732553 & 0.48336315394267 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270758&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]2.69895318373536[/C][C]0.989049858310462[/C][/ROW]
[ROW][C]0.02[/C][C]4.61293009483179[/C][C]1.66084721235744[/C][/ROW]
[ROW][C]0.03[/C][C]6.73040311925498[/C][C]1.96245545093195[/C][/ROW]
[ROW][C]0.04[/C][C]8.53976239468635[/C][C]1.55343021574675[/C][/ROW]
[ROW][C]0.05[/C][C]9.8327192788524[/C][C]1.31031757003817[/C][/ROW]
[ROW][C]0.06[/C][C]10.8631741697078[/C][C]1.26919182441644[/C][/ROW]
[ROW][C]0.07[/C][C]11.7950348378824[/C][C]1.2927491949453[/C][/ROW]
[ROW][C]0.08[/C][C]12.6741143322761[/C][C]1.29927244013867[/C][/ROW]
[ROW][C]0.09[/C][C]13.4804750439908[/C][C]1.20776323266089[/C][/ROW]
[ROW][C]0.1[/C][C]14.1567313783082[/C][C]0.983459352973342[/C][/ROW]
[ROW][C]0.11[/C][C]14.6643093761603[/C][C]0.723078548476532[/C][/ROW]
[ROW][C]0.12[/C][C]15.0284158367133[/C][C]0.554223028829301[/C][/ROW]
[ROW][C]0.13[/C][C]15.3106608702877[/C][C]0.490706087495226[/C][/ROW]
[ROW][C]0.14[/C][C]15.5535599566991[/C][C]0.453449212859797[/C][/ROW]
[ROW][C]0.15[/C][C]15.7669780778043[/C][C]0.402337172410126[/C][/ROW]
[ROW][C]0.16[/C][C]15.9539040612319[/C][C]0.367201022593133[/C][/ROW]
[ROW][C]0.17[/C][C]16.1296784008899[/C][C]0.384158919405962[/C][/ROW]
[ROW][C]0.18[/C][C]16.3148823691448[/C][C]0.43988615890042[/C][/ROW]
[ROW][C]0.19[/C][C]16.5195058172398[/C][C]0.493326935407391[/C][/ROW]
[ROW][C]0.2[/C][C]16.7391866688189[/C][C]0.521059115786021[/C][/ROW]
[ROW][C]0.21[/C][C]16.9636722172973[/C][C]0.526545222641401[/C][/ROW]
[ROW][C]0.22[/C][C]17.1844811547793[/C][C]0.518615746198531[/C][/ROW]
[ROW][C]0.23[/C][C]17.3948150382481[/C][C]0.493810242942341[/C][/ROW]
[ROW][C]0.24[/C][C]17.5868536327352[/C][C]0.444966994995789[/C][/ROW]
[ROW][C]0.25[/C][C]17.7536052929974[/C][C]0.379892365253982[/C][/ROW]
[ROW][C]0.26[/C][C]17.8946621385631[/C][C]0.324444434151144[/C][/ROW]
[ROW][C]0.27[/C][C]18.0192279492457[/C][C]0.306395265249247[/C][/ROW]
[ROW][C]0.28[/C][C]18.1421598417447[/C][C]0.33156984275309[/C][/ROW]
[ROW][C]0.29[/C][C]18.2753562436578[/C][C]0.376433637198526[/C][/ROW]
[ROW][C]0.3[/C][C]18.4206563973125[/C][C]0.406569525487608[/C][/ROW]
[ROW][C]0.31[/C][C]18.5689654700257[/C][C]0.397730904311754[/C][/ROW]
[ROW][C]0.32[/C][C]18.7057259926565[/C][C]0.346928669039156[/C][/ROW]
[ROW][C]0.33[/C][C]18.8188570657101[/C][C]0.271397591994707[/C][/ROW]
[ROW][C]0.34[/C][C]18.9044952452792[/C][C]0.19780852356339[/C][/ROW]
[ROW][C]0.35[/C][C]18.9681998711581[/C][C]0.151118520276121[/C][/ROW]
[ROW][C]0.36[/C][C]19.0223064347033[/C][C]0.147791772819633[/C][/ROW]
[ROW][C]0.37[/C][C]19.0814938767138[/C][C]0.18806060854973[/C][/ROW]
[ROW][C]0.38[/C][C]19.1582045338037[/C][C]0.256352239643294[/C][/ROW]
[ROW][C]0.39[/C][C]19.2588120521466[/C][C]0.329946310062131[/C][/ROW]
[ROW][C]0.4[/C][C]19.3814055296403[/C][C]0.384261827739238[/C][/ROW]
[ROW][C]0.41[/C][C]19.5162349185861[/C][C]0.400531842879154[/C][/ROW]
[ROW][C]0.42[/C][C]19.6491868684024[/C][C]0.37351986973089[/C][/ROW]
[ROW][C]0.43[/C][C]19.7671226145629[/C][C]0.31392255568348[/C][/ROW]
[ROW][C]0.44[/C][C]19.8627389364156[/C][C]0.243586070106182[/C][/ROW]
[ROW][C]0.45[/C][C]19.9368997594036[/C][C]0.186919118551963[/C][/ROW]
[ROW][C]0.46[/C][C]19.9978580232935[/C][C]0.164300509257872[/C][/ROW]
[ROW][C]0.47[/C][C]20.0581864482562[/C][C]0.18477318301781[/C][/ROW]
[ROW][C]0.48[/C][C]20.1307242691555[/C][C]0.240897492718536[/C][/ROW]
[ROW][C]0.49[/C][C]20.2247055546935[/C][C]0.314732157803737[/C][/ROW]
[ROW][C]0.5[/C][C]20.3431411638593[/C][C]0.385333516012564[/C][/ROW]
[ROW][C]0.51[/C][C]20.4824942269955[/C][C]0.435486045772386[/C][/ROW]
[ROW][C]0.52[/C][C]20.6350693750262[/C][C]0.458758183525185[/C][/ROW]
[ROW][C]0.53[/C][C]20.7930886020395[/C][C]0.46181605763713[/C][/ROW]
[ROW][C]0.54[/C][C]20.9520770699761[/C][C]0.458996350990628[/C][/ROW]
[ROW][C]0.55[/C][C]21.1113434686338[/C][C]0.460564785837832[/C][/ROW]
[ROW][C]0.56[/C][C]21.2713548899038[/C][C]0.464040323062389[/C][/ROW]
[ROW][C]0.57[/C][C]21.4302483869975[/C][C]0.456853528580423[/C][/ROW]
[ROW][C]0.58[/C][C]21.5825154371438[/C][C]0.427860877379203[/C][/ROW]
[ROW][C]0.59[/C][C]21.7212579459304[/C][C]0.378075913385483[/C][/ROW]
[ROW][C]0.6[/C][C]21.842634325077[/C][C]0.322884074514216[/C][/ROW]
[ROW][C]0.61[/C][C]21.9493760862431[/C][C]0.285540528004941[/C][/ROW]
[ROW][C]0.62[/C][C]22.0507524644135[/C][C]0.284400277531595[/C][/ROW]
[ROW][C]0.63[/C][C]22.1585522954042[/C][C]0.31884765743181[/C][/ROW]
[ROW][C]0.64[/C][C]22.2810539929721[/C][C]0.367778972251395[/C][/ROW]
[ROW][C]0.65[/C][C]22.4182460886369[/C][C]0.40230404554539[/C][/ROW]
[ROW][C]0.66[/C][C]22.561057445253[/C][C]0.399974797332101[/C][/ROW]
[ROW][C]0.67[/C][C]22.6951735626048[/C][C]0.354709114119972[/C][/ROW]
[ROW][C]0.68[/C][C]22.8073159843511[/C][C]0.278432170528364[/C][/ROW]
[ROW][C]0.69[/C][C]22.8904956640718[/C][C]0.193364099298654[/C][/ROW]
[ROW][C]0.7[/C][C]22.9458168584047[/C][C]0.120996086323889[/C][/ROW]
[ROW][C]0.71[/C][C]22.9810165737625[/C][C]0.0755893934640978[/C][/ROW]
[ROW][C]0.72[/C][C]23.0078386106449[/C][C]0.0663929144713018[/C][/ROW]
[ROW][C]0.73[/C][C]23.0400404184015[/C][C]0.0976176405264452[/C][/ROW]
[ROW][C]0.74[/C][C]23.0918628084899[/C][C]0.164212918239102[/C][/ROW]
[ROW][C]0.75[/C][C]23.1752774001502[/C][C]0.25389987682948[/C][/ROW]
[ROW][C]0.76[/C][C]23.2952275552898[/C][C]0.342451996911566[/C][/ROW]
[ROW][C]0.77[/C][C]23.4452471444615[/C][C]0.39862438154355[/C][/ROW]
[ROW][C]0.78[/C][C]23.6082096623361[/C][C]0.401822782615348[/C][/ROW]
[ROW][C]0.79[/C][C]23.764799541238[/C][C]0.359854291577203[/C][/ROW]
[ROW][C]0.8[/C][C]23.9057846390216[/C][C]0.310105563074635[/C][/ROW]
[ROW][C]0.81[/C][C]24.0388578123501[/C][C]0.298226031087797[/C][/ROW]
[ROW][C]0.82[/C][C]24.1827311532378[/C][C]0.338434204587369[/C][/ROW]
[ROW][C]0.83[/C][C]24.3506451792046[/C][C]0.393720114876593[/C][/ROW]
[ROW][C]0.84[/C][C]24.5358918166499[/C][C]0.409029356763448[/C][/ROW]
[ROW][C]0.85[/C][C]24.7134396341064[/C][C]0.357892529792222[/C][/ROW]
[ROW][C]0.86[/C][C]24.859555890802[/C][C]0.267116233150962[/C][/ROW]
[ROW][C]0.87[/C][C]24.9749226614967[/C][C]0.203623050168578[/C][/ROW]
[ROW][C]0.88[/C][C]25.0925671061667[/C][C]0.235009470727873[/C][/ROW]
[ROW][C]0.89[/C][C]25.2626804296773[/C][C]0.361229760637467[/C][/ROW]
[ROW][C]0.9[/C][C]25.522256713378[/C][C]0.515577860965407[/C][/ROW]
[ROW][C]0.91[/C][C]25.8703185121981[/C][C]0.620927666124707[/C][/ROW]
[ROW][C]0.92[/C][C]26.2663364435824[/C][C]0.630146877109234[/C][/ROW]
[ROW][C]0.93[/C][C]26.6557265036142[/C][C]0.551462653497149[/C][/ROW]
[ROW][C]0.94[/C][C]27.0208674782456[/C][C]0.480606193682957[/C][/ROW]
[ROW][C]0.95[/C][C]27.3994669443207[/C][C]0.487849846954491[/C][/ROW]
[ROW][C]0.96[/C][C]27.8143824566349[/C][C]0.471356763430571[/C][/ROW]
[ROW][C]0.97[/C][C]28.286774826293[/C][C]0.485368544003387[/C][/ROW]
[ROW][C]0.98[/C][C]28.8670535029566[/C][C]0.482944993007765[/C][/ROW]
[ROW][C]0.99[/C][C]29.6033267732553[/C][C]0.48336315394267[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270758&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270758&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
0.012.698953183735360.989049858310462
0.024.612930094831791.66084721235744
0.036.730403119254981.96245545093195
0.048.539762394686351.55343021574675
0.059.83271927885241.31031757003817
0.0610.86317416970781.26919182441644
0.0711.79503483788241.2927491949453
0.0812.67411433227611.29927244013867
0.0913.48047504399081.20776323266089
0.114.15673137830820.983459352973342
0.1114.66430937616030.723078548476532
0.1215.02841583671330.554223028829301
0.1315.31066087028770.490706087495226
0.1415.55355995669910.453449212859797
0.1515.76697807780430.402337172410126
0.1615.95390406123190.367201022593133
0.1716.12967840088990.384158919405962
0.1816.31488236914480.43988615890042
0.1916.51950581723980.493326935407391
0.216.73918666881890.521059115786021
0.2116.96367221729730.526545222641401
0.2217.18448115477930.518615746198531
0.2317.39481503824810.493810242942341
0.2417.58685363273520.444966994995789
0.2517.75360529299740.379892365253982
0.2617.89466213856310.324444434151144
0.2718.01922794924570.306395265249247
0.2818.14215984174470.33156984275309
0.2918.27535624365780.376433637198526
0.318.42065639731250.406569525487608
0.3118.56896547002570.397730904311754
0.3218.70572599265650.346928669039156
0.3318.81885706571010.271397591994707
0.3418.90449524527920.19780852356339
0.3518.96819987115810.151118520276121
0.3619.02230643470330.147791772819633
0.3719.08149387671380.18806060854973
0.3819.15820453380370.256352239643294
0.3919.25881205214660.329946310062131
0.419.38140552964030.384261827739238
0.4119.51623491858610.400531842879154
0.4219.64918686840240.37351986973089
0.4319.76712261456290.31392255568348
0.4419.86273893641560.243586070106182
0.4519.93689975940360.186919118551963
0.4619.99785802329350.164300509257872
0.4720.05818644825620.18477318301781
0.4820.13072426915550.240897492718536
0.4920.22470555469350.314732157803737
0.520.34314116385930.385333516012564
0.5120.48249422699550.435486045772386
0.5220.63506937502620.458758183525185
0.5320.79308860203950.46181605763713
0.5420.95207706997610.458996350990628
0.5521.11134346863380.460564785837832
0.5621.27135488990380.464040323062389
0.5721.43024838699750.456853528580423
0.5821.58251543714380.427860877379203
0.5921.72125794593040.378075913385483
0.621.8426343250770.322884074514216
0.6121.94937608624310.285540528004941
0.6222.05075246441350.284400277531595
0.6322.15855229540420.31884765743181
0.6422.28105399297210.367778972251395
0.6522.41824608863690.40230404554539
0.6622.5610574452530.399974797332101
0.6722.69517356260480.354709114119972
0.6822.80731598435110.278432170528364
0.6922.89049566407180.193364099298654
0.722.94581685840470.120996086323889
0.7122.98101657376250.0755893934640978
0.7223.00783861064490.0663929144713018
0.7323.04004041840150.0976176405264452
0.7423.09186280848990.164212918239102
0.7523.17527740015020.25389987682948
0.7623.29522755528980.342451996911566
0.7723.44524714446150.39862438154355
0.7823.60820966233610.401822782615348
0.7923.7647995412380.359854291577203
0.823.90578463902160.310105563074635
0.8124.03885781235010.298226031087797
0.8224.18273115323780.338434204587369
0.8324.35064517920460.393720114876593
0.8424.53589181664990.409029356763448
0.8524.71343963410640.357892529792222
0.8624.8595558908020.267116233150962
0.8724.97492266149670.203623050168578
0.8825.09256710616670.235009470727873
0.8925.26268042967730.361229760637467
0.925.5222567133780.515577860965407
0.9125.87031851219810.620927666124707
0.9226.26633644358240.630146877109234
0.9326.65572650361420.551462653497149
0.9427.02086747824560.480606193682957
0.9527.39946694432070.487849846954491
0.9627.81438245663490.471356763430571
0.9728.2867748262930.485368544003387
0.9828.86705350295660.482944993007765
0.9929.60332677325530.48336315394267


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')