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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, 22 Dec 2011 14:58:07 -0500
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/Dec/22/t1324583976tpi2w8l9wmnieft.htm/, Retrieved Fri, 03 May 2024 07:10:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159933, Retrieved Fri, 03 May 2024 07:10:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

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] [Paper Harrell-Dav...] [2011-12-22 19:58:07] [c18e83883fa784c15a15b4fbc0636edd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
53
86
66
67
76
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53
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54
80
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30
71
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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 time2 seconds
R Server'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159933&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159933&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159933&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0138.12261018320017.59002453490163
0.0246.49075436702735.28978162913054
0.0350.81495889906552.47518984600807
0.0452.5692475689261.09025696025361
0.0553.29068788657140.624826863137514
0.0653.65045709922630.396308218156125
0.0753.84607079752320.222318641411406
0.0853.94638389084330.112378097867509
0.0954.00174231341720.0949270072130381
0.154.06004663827610.196312673204278
0.1154.17171281944880.435033148835976
0.1254.39502301253240.844946093085802
0.1354.7923453237511.42669944107605
0.1455.41351830045432.11582506055814
0.1556.2738589244592.78684963763065
0.1657.34034996950273.29608007578575
0.1758.53626491402353.54092778115481
0.1859.76372459700723.50117987592596
0.1960.93305770638393.23912244037856
0.261.98482834372792.86222762603
0.2162.89629557612742.47377766837655
0.2263.67365761621042.13776050795302
0.2364.33794867866621.87219944379709
0.2464.91278732285371.6662169353057
0.2565.4180492258381.50285723390264
0.2665.86888818035121.37195873078477
0.2766.27717563796771.27039717443631
0.2866.65271732663461.19569398338234
0.2967.00321983949551.14106531232953
0.367.33345483315641.09432186082881
0.3167.64467508355041.04203566892247
0.3267.93510029137330.974833382452
0.3368.20160852680010.891750577224528
0.3468.44208228365030.801257190647371
0.3568.65748802017890.718681527928971
0.3668.85284880890080.661992614285424
0.3769.03672850634910.644340936293579
0.3869.21945136689290.668999917665421
0.3969.41075842283270.727063368382408
0.469.61775975213230.803196793285249
0.4169.84384500403160.88165961373861
0.4270.08877915581480.950347269601583
0.4370.34973790653791.00315560645618
0.4470.62272524018821.03955800416354
0.4570.9037780081721.06274390185545
0.4671.18958315065211.07587574406099
0.4771.47747939999641.08098803955315
0.4871.7651063206741.07756991068562
0.4972.0500664303881.06420858484039
0.572.32986298462481.04032483409716
0.5172.60216089318331.00717122375274
0.5272.86522745380150.968247509218883
0.5373.11833462879450.928356309186486
0.5473.36194818827530.89231378912974
0.5573.59762841625190.863964539892745
0.5673.82765579931590.84544897206276
0.5774.05444952308680.83625574094928
0.5874.27988403526920.83292461259478
0.5974.50465068912840.830031200311013
0.674.72785025611520.820617102910103
0.6174.94700192358770.799013944711958
0.6275.15857862950520.76217166090984
0.6375.3590218512740.711685301183928
0.6475.54599330608080.654104914205335
0.6575.71946921818020.599622991979432
0.6675.8822673446820.560095906294614
0.6776.03976801478050.544777476463725
0.6876.19890424572480.557508177358549
0.6976.36680594819380.594783928747134
0.776.54960793637350.649546134096913
0.7176.75177832925280.71426410710921
0.7276.97598045284310.783038873247082
0.7377.22318012128680.850768078225131
0.7477.49266406940.912422257642125
0.7577.78186527878990.961395318821766
0.7678.08620446062170.990958163225255
0.7778.39931255654720.996137318812492
0.7878.71390642262170.975977352189523
0.7979.0233460502530.935017500363614
0.879.3236433353990.883935328079378
0.8179.61546578188430.838929536024978
0.8279.90549941319480.819257579143704
0.8380.20650548753640.841757485566917
0.8480.53561618475440.914065213296566
0.8580.91074925279831.03011074614851
0.8681.34537329314651.16880405014725
0.8781.84265164273241.29529286411569
0.8882.39172929959231.36935256689662
0.8982.97018544495861.36601186566029
0.983.55382510706971.29571124787209
0.9184.12766949358321.19904722966813
0.9284.68919502500751.10918453239178
0.9385.2458519260751.03235895477276
0.9485.82001039146470.990651070128245
0.9586.45577101064611.03119840622482
0.9687.19309932565051.10188270824547
0.9788.01717940342731.05187992638186
0.9888.86836215071380.869474038737023
0.9989.63795178377550.596041325062969

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 38.1226101832001 & 7.59002453490163 \tabularnewline
0.02 & 46.4907543670273 & 5.28978162913054 \tabularnewline
0.03 & 50.8149588990655 & 2.47518984600807 \tabularnewline
0.04 & 52.569247568926 & 1.09025696025361 \tabularnewline
0.05 & 53.2906878865714 & 0.624826863137514 \tabularnewline
0.06 & 53.6504570992263 & 0.396308218156125 \tabularnewline
0.07 & 53.8460707975232 & 0.222318641411406 \tabularnewline
0.08 & 53.9463838908433 & 0.112378097867509 \tabularnewline
0.09 & 54.0017423134172 & 0.0949270072130381 \tabularnewline
0.1 & 54.0600466382761 & 0.196312673204278 \tabularnewline
0.11 & 54.1717128194488 & 0.435033148835976 \tabularnewline
0.12 & 54.3950230125324 & 0.844946093085802 \tabularnewline
0.13 & 54.792345323751 & 1.42669944107605 \tabularnewline
0.14 & 55.4135183004543 & 2.11582506055814 \tabularnewline
0.15 & 56.273858924459 & 2.78684963763065 \tabularnewline
0.16 & 57.3403499695027 & 3.29608007578575 \tabularnewline
0.17 & 58.5362649140235 & 3.54092778115481 \tabularnewline
0.18 & 59.7637245970072 & 3.50117987592596 \tabularnewline
0.19 & 60.9330577063839 & 3.23912244037856 \tabularnewline
0.2 & 61.9848283437279 & 2.86222762603 \tabularnewline
0.21 & 62.8962955761274 & 2.47377766837655 \tabularnewline
0.22 & 63.6736576162104 & 2.13776050795302 \tabularnewline
0.23 & 64.3379486786662 & 1.87219944379709 \tabularnewline
0.24 & 64.9127873228537 & 1.6662169353057 \tabularnewline
0.25 & 65.418049225838 & 1.50285723390264 \tabularnewline
0.26 & 65.8688881803512 & 1.37195873078477 \tabularnewline
0.27 & 66.2771756379677 & 1.27039717443631 \tabularnewline
0.28 & 66.6527173266346 & 1.19569398338234 \tabularnewline
0.29 & 67.0032198394955 & 1.14106531232953 \tabularnewline
0.3 & 67.3334548331564 & 1.09432186082881 \tabularnewline
0.31 & 67.6446750835504 & 1.04203566892247 \tabularnewline
0.32 & 67.9351002913733 & 0.974833382452 \tabularnewline
0.33 & 68.2016085268001 & 0.891750577224528 \tabularnewline
0.34 & 68.4420822836503 & 0.801257190647371 \tabularnewline
0.35 & 68.6574880201789 & 0.718681527928971 \tabularnewline
0.36 & 68.8528488089008 & 0.661992614285424 \tabularnewline
0.37 & 69.0367285063491 & 0.644340936293579 \tabularnewline
0.38 & 69.2194513668929 & 0.668999917665421 \tabularnewline
0.39 & 69.4107584228327 & 0.727063368382408 \tabularnewline
0.4 & 69.6177597521323 & 0.803196793285249 \tabularnewline
0.41 & 69.8438450040316 & 0.88165961373861 \tabularnewline
0.42 & 70.0887791558148 & 0.950347269601583 \tabularnewline
0.43 & 70.3497379065379 & 1.00315560645618 \tabularnewline
0.44 & 70.6227252401882 & 1.03955800416354 \tabularnewline
0.45 & 70.903778008172 & 1.06274390185545 \tabularnewline
0.46 & 71.1895831506521 & 1.07587574406099 \tabularnewline
0.47 & 71.4774793999964 & 1.08098803955315 \tabularnewline
0.48 & 71.765106320674 & 1.07756991068562 \tabularnewline
0.49 & 72.050066430388 & 1.06420858484039 \tabularnewline
0.5 & 72.3298629846248 & 1.04032483409716 \tabularnewline
0.51 & 72.6021608931833 & 1.00717122375274 \tabularnewline
0.52 & 72.8652274538015 & 0.968247509218883 \tabularnewline
0.53 & 73.1183346287945 & 0.928356309186486 \tabularnewline
0.54 & 73.3619481882753 & 0.89231378912974 \tabularnewline
0.55 & 73.5976284162519 & 0.863964539892745 \tabularnewline
0.56 & 73.8276557993159 & 0.84544897206276 \tabularnewline
0.57 & 74.0544495230868 & 0.83625574094928 \tabularnewline
0.58 & 74.2798840352692 & 0.83292461259478 \tabularnewline
0.59 & 74.5046506891284 & 0.830031200311013 \tabularnewline
0.6 & 74.7278502561152 & 0.820617102910103 \tabularnewline
0.61 & 74.9470019235877 & 0.799013944711958 \tabularnewline
0.62 & 75.1585786295052 & 0.76217166090984 \tabularnewline
0.63 & 75.359021851274 & 0.711685301183928 \tabularnewline
0.64 & 75.5459933060808 & 0.654104914205335 \tabularnewline
0.65 & 75.7194692181802 & 0.599622991979432 \tabularnewline
0.66 & 75.882267344682 & 0.560095906294614 \tabularnewline
0.67 & 76.0397680147805 & 0.544777476463725 \tabularnewline
0.68 & 76.1989042457248 & 0.557508177358549 \tabularnewline
0.69 & 76.3668059481938 & 0.594783928747134 \tabularnewline
0.7 & 76.5496079363735 & 0.649546134096913 \tabularnewline
0.71 & 76.7517783292528 & 0.71426410710921 \tabularnewline
0.72 & 76.9759804528431 & 0.783038873247082 \tabularnewline
0.73 & 77.2231801212868 & 0.850768078225131 \tabularnewline
0.74 & 77.4926640694 & 0.912422257642125 \tabularnewline
0.75 & 77.7818652787899 & 0.961395318821766 \tabularnewline
0.76 & 78.0862044606217 & 0.990958163225255 \tabularnewline
0.77 & 78.3993125565472 & 0.996137318812492 \tabularnewline
0.78 & 78.7139064226217 & 0.975977352189523 \tabularnewline
0.79 & 79.023346050253 & 0.935017500363614 \tabularnewline
0.8 & 79.323643335399 & 0.883935328079378 \tabularnewline
0.81 & 79.6154657818843 & 0.838929536024978 \tabularnewline
0.82 & 79.9054994131948 & 0.819257579143704 \tabularnewline
0.83 & 80.2065054875364 & 0.841757485566917 \tabularnewline
0.84 & 80.5356161847544 & 0.914065213296566 \tabularnewline
0.85 & 80.9107492527983 & 1.03011074614851 \tabularnewline
0.86 & 81.3453732931465 & 1.16880405014725 \tabularnewline
0.87 & 81.8426516427324 & 1.29529286411569 \tabularnewline
0.88 & 82.3917292995923 & 1.36935256689662 \tabularnewline
0.89 & 82.9701854449586 & 1.36601186566029 \tabularnewline
0.9 & 83.5538251070697 & 1.29571124787209 \tabularnewline
0.91 & 84.1276694935832 & 1.19904722966813 \tabularnewline
0.92 & 84.6891950250075 & 1.10918453239178 \tabularnewline
0.93 & 85.245851926075 & 1.03235895477276 \tabularnewline
0.94 & 85.8200103914647 & 0.990651070128245 \tabularnewline
0.95 & 86.4557710106461 & 1.03119840622482 \tabularnewline
0.96 & 87.1930993256505 & 1.10188270824547 \tabularnewline
0.97 & 88.0171794034273 & 1.05187992638186 \tabularnewline
0.98 & 88.8683621507138 & 0.869474038737023 \tabularnewline
0.99 & 89.6379517837755 & 0.596041325062969 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159933&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]38.1226101832001[/C][C]7.59002453490163[/C][/ROW]
[ROW][C]0.02[/C][C]46.4907543670273[/C][C]5.28978162913054[/C][/ROW]
[ROW][C]0.03[/C][C]50.8149588990655[/C][C]2.47518984600807[/C][/ROW]
[ROW][C]0.04[/C][C]52.569247568926[/C][C]1.09025696025361[/C][/ROW]
[ROW][C]0.05[/C][C]53.2906878865714[/C][C]0.624826863137514[/C][/ROW]
[ROW][C]0.06[/C][C]53.6504570992263[/C][C]0.396308218156125[/C][/ROW]
[ROW][C]0.07[/C][C]53.8460707975232[/C][C]0.222318641411406[/C][/ROW]
[ROW][C]0.08[/C][C]53.9463838908433[/C][C]0.112378097867509[/C][/ROW]
[ROW][C]0.09[/C][C]54.0017423134172[/C][C]0.0949270072130381[/C][/ROW]
[ROW][C]0.1[/C][C]54.0600466382761[/C][C]0.196312673204278[/C][/ROW]
[ROW][C]0.11[/C][C]54.1717128194488[/C][C]0.435033148835976[/C][/ROW]
[ROW][C]0.12[/C][C]54.3950230125324[/C][C]0.844946093085802[/C][/ROW]
[ROW][C]0.13[/C][C]54.792345323751[/C][C]1.42669944107605[/C][/ROW]
[ROW][C]0.14[/C][C]55.4135183004543[/C][C]2.11582506055814[/C][/ROW]
[ROW][C]0.15[/C][C]56.273858924459[/C][C]2.78684963763065[/C][/ROW]
[ROW][C]0.16[/C][C]57.3403499695027[/C][C]3.29608007578575[/C][/ROW]
[ROW][C]0.17[/C][C]58.5362649140235[/C][C]3.54092778115481[/C][/ROW]
[ROW][C]0.18[/C][C]59.7637245970072[/C][C]3.50117987592596[/C][/ROW]
[ROW][C]0.19[/C][C]60.9330577063839[/C][C]3.23912244037856[/C][/ROW]
[ROW][C]0.2[/C][C]61.9848283437279[/C][C]2.86222762603[/C][/ROW]
[ROW][C]0.21[/C][C]62.8962955761274[/C][C]2.47377766837655[/C][/ROW]
[ROW][C]0.22[/C][C]63.6736576162104[/C][C]2.13776050795302[/C][/ROW]
[ROW][C]0.23[/C][C]64.3379486786662[/C][C]1.87219944379709[/C][/ROW]
[ROW][C]0.24[/C][C]64.9127873228537[/C][C]1.6662169353057[/C][/ROW]
[ROW][C]0.25[/C][C]65.418049225838[/C][C]1.50285723390264[/C][/ROW]
[ROW][C]0.26[/C][C]65.8688881803512[/C][C]1.37195873078477[/C][/ROW]
[ROW][C]0.27[/C][C]66.2771756379677[/C][C]1.27039717443631[/C][/ROW]
[ROW][C]0.28[/C][C]66.6527173266346[/C][C]1.19569398338234[/C][/ROW]
[ROW][C]0.29[/C][C]67.0032198394955[/C][C]1.14106531232953[/C][/ROW]
[ROW][C]0.3[/C][C]67.3334548331564[/C][C]1.09432186082881[/C][/ROW]
[ROW][C]0.31[/C][C]67.6446750835504[/C][C]1.04203566892247[/C][/ROW]
[ROW][C]0.32[/C][C]67.9351002913733[/C][C]0.974833382452[/C][/ROW]
[ROW][C]0.33[/C][C]68.2016085268001[/C][C]0.891750577224528[/C][/ROW]
[ROW][C]0.34[/C][C]68.4420822836503[/C][C]0.801257190647371[/C][/ROW]
[ROW][C]0.35[/C][C]68.6574880201789[/C][C]0.718681527928971[/C][/ROW]
[ROW][C]0.36[/C][C]68.8528488089008[/C][C]0.661992614285424[/C][/ROW]
[ROW][C]0.37[/C][C]69.0367285063491[/C][C]0.644340936293579[/C][/ROW]
[ROW][C]0.38[/C][C]69.2194513668929[/C][C]0.668999917665421[/C][/ROW]
[ROW][C]0.39[/C][C]69.4107584228327[/C][C]0.727063368382408[/C][/ROW]
[ROW][C]0.4[/C][C]69.6177597521323[/C][C]0.803196793285249[/C][/ROW]
[ROW][C]0.41[/C][C]69.8438450040316[/C][C]0.88165961373861[/C][/ROW]
[ROW][C]0.42[/C][C]70.0887791558148[/C][C]0.950347269601583[/C][/ROW]
[ROW][C]0.43[/C][C]70.3497379065379[/C][C]1.00315560645618[/C][/ROW]
[ROW][C]0.44[/C][C]70.6227252401882[/C][C]1.03955800416354[/C][/ROW]
[ROW][C]0.45[/C][C]70.903778008172[/C][C]1.06274390185545[/C][/ROW]
[ROW][C]0.46[/C][C]71.1895831506521[/C][C]1.07587574406099[/C][/ROW]
[ROW][C]0.47[/C][C]71.4774793999964[/C][C]1.08098803955315[/C][/ROW]
[ROW][C]0.48[/C][C]71.765106320674[/C][C]1.07756991068562[/C][/ROW]
[ROW][C]0.49[/C][C]72.050066430388[/C][C]1.06420858484039[/C][/ROW]
[ROW][C]0.5[/C][C]72.3298629846248[/C][C]1.04032483409716[/C][/ROW]
[ROW][C]0.51[/C][C]72.6021608931833[/C][C]1.00717122375274[/C][/ROW]
[ROW][C]0.52[/C][C]72.8652274538015[/C][C]0.968247509218883[/C][/ROW]
[ROW][C]0.53[/C][C]73.1183346287945[/C][C]0.928356309186486[/C][/ROW]
[ROW][C]0.54[/C][C]73.3619481882753[/C][C]0.89231378912974[/C][/ROW]
[ROW][C]0.55[/C][C]73.5976284162519[/C][C]0.863964539892745[/C][/ROW]
[ROW][C]0.56[/C][C]73.8276557993159[/C][C]0.84544897206276[/C][/ROW]
[ROW][C]0.57[/C][C]74.0544495230868[/C][C]0.83625574094928[/C][/ROW]
[ROW][C]0.58[/C][C]74.2798840352692[/C][C]0.83292461259478[/C][/ROW]
[ROW][C]0.59[/C][C]74.5046506891284[/C][C]0.830031200311013[/C][/ROW]
[ROW][C]0.6[/C][C]74.7278502561152[/C][C]0.820617102910103[/C][/ROW]
[ROW][C]0.61[/C][C]74.9470019235877[/C][C]0.799013944711958[/C][/ROW]
[ROW][C]0.62[/C][C]75.1585786295052[/C][C]0.76217166090984[/C][/ROW]
[ROW][C]0.63[/C][C]75.359021851274[/C][C]0.711685301183928[/C][/ROW]
[ROW][C]0.64[/C][C]75.5459933060808[/C][C]0.654104914205335[/C][/ROW]
[ROW][C]0.65[/C][C]75.7194692181802[/C][C]0.599622991979432[/C][/ROW]
[ROW][C]0.66[/C][C]75.882267344682[/C][C]0.560095906294614[/C][/ROW]
[ROW][C]0.67[/C][C]76.0397680147805[/C][C]0.544777476463725[/C][/ROW]
[ROW][C]0.68[/C][C]76.1989042457248[/C][C]0.557508177358549[/C][/ROW]
[ROW][C]0.69[/C][C]76.3668059481938[/C][C]0.594783928747134[/C][/ROW]
[ROW][C]0.7[/C][C]76.5496079363735[/C][C]0.649546134096913[/C][/ROW]
[ROW][C]0.71[/C][C]76.7517783292528[/C][C]0.71426410710921[/C][/ROW]
[ROW][C]0.72[/C][C]76.9759804528431[/C][C]0.783038873247082[/C][/ROW]
[ROW][C]0.73[/C][C]77.2231801212868[/C][C]0.850768078225131[/C][/ROW]
[ROW][C]0.74[/C][C]77.4926640694[/C][C]0.912422257642125[/C][/ROW]
[ROW][C]0.75[/C][C]77.7818652787899[/C][C]0.961395318821766[/C][/ROW]
[ROW][C]0.76[/C][C]78.0862044606217[/C][C]0.990958163225255[/C][/ROW]
[ROW][C]0.77[/C][C]78.3993125565472[/C][C]0.996137318812492[/C][/ROW]
[ROW][C]0.78[/C][C]78.7139064226217[/C][C]0.975977352189523[/C][/ROW]
[ROW][C]0.79[/C][C]79.023346050253[/C][C]0.935017500363614[/C][/ROW]
[ROW][C]0.8[/C][C]79.323643335399[/C][C]0.883935328079378[/C][/ROW]
[ROW][C]0.81[/C][C]79.6154657818843[/C][C]0.838929536024978[/C][/ROW]
[ROW][C]0.82[/C][C]79.9054994131948[/C][C]0.819257579143704[/C][/ROW]
[ROW][C]0.83[/C][C]80.2065054875364[/C][C]0.841757485566917[/C][/ROW]
[ROW][C]0.84[/C][C]80.5356161847544[/C][C]0.914065213296566[/C][/ROW]
[ROW][C]0.85[/C][C]80.9107492527983[/C][C]1.03011074614851[/C][/ROW]
[ROW][C]0.86[/C][C]81.3453732931465[/C][C]1.16880405014725[/C][/ROW]
[ROW][C]0.87[/C][C]81.8426516427324[/C][C]1.29529286411569[/C][/ROW]
[ROW][C]0.88[/C][C]82.3917292995923[/C][C]1.36935256689662[/C][/ROW]
[ROW][C]0.89[/C][C]82.9701854449586[/C][C]1.36601186566029[/C][/ROW]
[ROW][C]0.9[/C][C]83.5538251070697[/C][C]1.29571124787209[/C][/ROW]
[ROW][C]0.91[/C][C]84.1276694935832[/C][C]1.19904722966813[/C][/ROW]
[ROW][C]0.92[/C][C]84.6891950250075[/C][C]1.10918453239178[/C][/ROW]
[ROW][C]0.93[/C][C]85.245851926075[/C][C]1.03235895477276[/C][/ROW]
[ROW][C]0.94[/C][C]85.8200103914647[/C][C]0.990651070128245[/C][/ROW]
[ROW][C]0.95[/C][C]86.4557710106461[/C][C]1.03119840622482[/C][/ROW]
[ROW][C]0.96[/C][C]87.1930993256505[/C][C]1.10188270824547[/C][/ROW]
[ROW][C]0.97[/C][C]88.0171794034273[/C][C]1.05187992638186[/C][/ROW]
[ROW][C]0.98[/C][C]88.8683621507138[/C][C]0.869474038737023[/C][/ROW]
[ROW][C]0.99[/C][C]89.6379517837755[/C][C]0.596041325062969[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159933&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159933&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
0.0138.12261018320017.59002453490163
0.0246.49075436702735.28978162913054
0.0350.81495889906552.47518984600807
0.0452.5692475689261.09025696025361
0.0553.29068788657140.624826863137514
0.0653.65045709922630.396308218156125
0.0753.84607079752320.222318641411406
0.0853.94638389084330.112378097867509
0.0954.00174231341720.0949270072130381
0.154.06004663827610.196312673204278
0.1154.17171281944880.435033148835976
0.1254.39502301253240.844946093085802
0.1354.7923453237511.42669944107605
0.1455.41351830045432.11582506055814
0.1556.2738589244592.78684963763065
0.1657.34034996950273.29608007578575
0.1758.53626491402353.54092778115481
0.1859.76372459700723.50117987592596
0.1960.93305770638393.23912244037856
0.261.98482834372792.86222762603
0.2162.89629557612742.47377766837655
0.2263.67365761621042.13776050795302
0.2364.33794867866621.87219944379709
0.2464.91278732285371.6662169353057
0.2565.4180492258381.50285723390264
0.2665.86888818035121.37195873078477
0.2766.27717563796771.27039717443631
0.2866.65271732663461.19569398338234
0.2967.00321983949551.14106531232953
0.367.33345483315641.09432186082881
0.3167.64467508355041.04203566892247
0.3267.93510029137330.974833382452
0.3368.20160852680010.891750577224528
0.3468.44208228365030.801257190647371
0.3568.65748802017890.718681527928971
0.3668.85284880890080.661992614285424
0.3769.03672850634910.644340936293579
0.3869.21945136689290.668999917665421
0.3969.41075842283270.727063368382408
0.469.61775975213230.803196793285249
0.4169.84384500403160.88165961373861
0.4270.08877915581480.950347269601583
0.4370.34973790653791.00315560645618
0.4470.62272524018821.03955800416354
0.4570.9037780081721.06274390185545
0.4671.18958315065211.07587574406099
0.4771.47747939999641.08098803955315
0.4871.7651063206741.07756991068562
0.4972.0500664303881.06420858484039
0.572.32986298462481.04032483409716
0.5172.60216089318331.00717122375274
0.5272.86522745380150.968247509218883
0.5373.11833462879450.928356309186486
0.5473.36194818827530.89231378912974
0.5573.59762841625190.863964539892745
0.5673.82765579931590.84544897206276
0.5774.05444952308680.83625574094928
0.5874.27988403526920.83292461259478
0.5974.50465068912840.830031200311013
0.674.72785025611520.820617102910103
0.6174.94700192358770.799013944711958
0.6275.15857862950520.76217166090984
0.6375.3590218512740.711685301183928
0.6475.54599330608080.654104914205335
0.6575.71946921818020.599622991979432
0.6675.8822673446820.560095906294614
0.6776.03976801478050.544777476463725
0.6876.19890424572480.557508177358549
0.6976.36680594819380.594783928747134
0.776.54960793637350.649546134096913
0.7176.75177832925280.71426410710921
0.7276.97598045284310.783038873247082
0.7377.22318012128680.850768078225131
0.7477.49266406940.912422257642125
0.7577.78186527878990.961395318821766
0.7678.08620446062170.990958163225255
0.7778.39931255654720.996137318812492
0.7878.71390642262170.975977352189523
0.7979.0233460502530.935017500363614
0.879.3236433353990.883935328079378
0.8179.61546578188430.838929536024978
0.8279.90549941319480.819257579143704
0.8380.20650548753640.841757485566917
0.8480.53561618475440.914065213296566
0.8580.91074925279831.03011074614851
0.8681.34537329314651.16880405014725
0.8781.84265164273241.29529286411569
0.8882.39172929959231.36935256689662
0.8982.97018544495861.36601186566029
0.983.55382510706971.29571124787209
0.9184.12766949358321.19904722966813
0.9284.68919502500751.10918453239178
0.9385.2458519260751.03235895477276
0.9485.82001039146470.990651070128245
0.9586.45577101064611.03119840622482
0.9687.19309932565051.10188270824547
0.9788.01717940342731.05187992638186
0.9888.86836215071380.869474038737023
0.9989.63795178377550.596041325062969


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')