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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 computationFri, 08 Oct 2010 05:42:57 +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/2010/Oct/08/t12865165094rh1vsufrk3dr3l.htm/, Retrieved Thu, 02 May 2024 05:21:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81913, Retrieved Thu, 02 May 2024 05:21:52 +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)
-       [Harrell-Davis Quantiles] [Harrell Davis Mar...] [2010-10-08 05:42:57] [d41d8cd98f00b204e9800998ecf8427e] [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 time27 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 27 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81913&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]27 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81913&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81913&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 time27 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0124.88824401849601.64988735334997
0.0226.68315577940341.08049245698593
0.0327.68500195674570.829171096769419
0.0428.35901383713580.834941628994824
0.0528.92873008188400.830240307249441
0.0629.41782390756710.731080421346711
0.0729.81311551318820.610936058931672
0.0830.13065858137970.549501418118864
0.0930.40373072586760.540060066072781
0.130.65559717509630.539272068912884
0.1130.89392657670420.531713460772011
0.1231.11928745136350.521791552196478
0.1331.33085239940850.507279515608068
0.1431.52667361784070.47946268021509
0.1531.70426344213970.439238488755559
0.1631.86352966564550.401990514222194
0.1732.00888986306950.386095148789156
0.1832.14772232765490.395690077760793
0.1932.28610832468260.415933364849099
0.232.42520947959990.425353228470652
0.2132.56080459339230.409756316361658
0.2232.68600151251770.36836700424306
0.2332.79519800725580.312597446422452
0.2432.88706522089960.260448135374253
0.2532.96532190762310.229830378030501
0.2633.03737197118090.231760365848515
0.2733.11172487710390.26409655402834
0.2833.19532046186130.314195313852061
0.2933.29165334571620.366497757083003
0.333.40020032376800.40738178302103
0.3133.51722094068780.428734638076113
0.3233.63757294767630.429910981588863
0.3333.75685173225170.418263107463815
0.3433.87306958945090.405574835666296
0.3533.98732056371270.404794993228162
0.3634.10335196472020.424194010819288
0.3734.22646101295860.46614243100319
0.3834.36240780435330.528597890390989
0.3934.51695220588640.61053948129863
0.434.69623104572660.715448330134305
0.4134.90768817490850.851944516594994
0.4235.16089402002611.03123342783474
0.4335.46751779883641.26101221170246
0.4435.83998405865541.53970772730678
0.4536.28885458852581.85291696182280
0.4636.8195343720332.17323986063200
0.4737.42929438290682.46407252294358
0.4838.1056732296512.68667109021333
0.4938.82700604708752.80906905050063
0.539.5652083991772.81434478516593
0.5140.29021700149142.70441324413551
0.5240.9749245148762.49990859969165
0.5341.59926844227912.23428103970291
0.5442.15242347122661.9456334392274
0.5542.63268936846251.66750440968747
0.5643.04540592697171.42246744261756
0.5743.39978217546981.21956187197968
0.5843.70572033024241.05559951331428
0.5943.97153116413930.920140950001615
0.644.20300215145790.801658669164468
0.6144.40377804922540.6924358891242
0.6244.57660839595520.591112614067563
0.6344.72480527493890.502056374227703
0.6444.85326771949160.433189677510396
0.6544.96864430809290.392420912718504
0.6645.07855847360250.382859954227924
0.6745.19020640424740.399588058817657
0.6845.30891700264930.431252184918714
0.6945.43730269003860.46537860751289
0.745.57536780255440.49288775043498
0.7145.72146352215410.510527404513107
0.7245.87352834899360.52024889952664
0.7346.02992421664780.525888506388648
0.7446.18950798403580.529485515576623
0.7546.35118452995740.52946356743954
0.7646.51362353511450.523251791592135
0.7746.67568837505380.511391018077222
0.7846.83744771106010.499801436519152
0.7947.00095812215220.49742705744157
0.847.16998455915820.509629808989585
0.8147.34861768353520.533816088941965
0.8247.53970338506620.561700753935544
0.8347.74417583465290.5860102258045
0.8447.96154592485120.604667118813691
0.8548.1908310074610.618641979268905
0.8648.43118555884330.628349125501295
0.8748.68223667678690.633983644521353
0.8848.94443910646030.637993743329712
0.8949.21940001848250.643757439631032
0.949.51030984507520.652736940149918
0.9149.82316235298140.669046593506083
0.9250.16765798595900.701543214054084
0.9350.55304822939490.744981404435842
0.9450.97666670034130.762463564621412
0.9551.41797734958960.71282811478014
0.9651.86338447178730.62429164254419
0.9752.35610016174180.614991318802751
0.9853.02099712401640.715544343941969
0.9954.02944527912420.87752950638007

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 24.8882440184960 & 1.64988735334997 \tabularnewline
0.02 & 26.6831557794034 & 1.08049245698593 \tabularnewline
0.03 & 27.6850019567457 & 0.829171096769419 \tabularnewline
0.04 & 28.3590138371358 & 0.834941628994824 \tabularnewline
0.05 & 28.9287300818840 & 0.830240307249441 \tabularnewline
0.06 & 29.4178239075671 & 0.731080421346711 \tabularnewline
0.07 & 29.8131155131882 & 0.610936058931672 \tabularnewline
0.08 & 30.1306585813797 & 0.549501418118864 \tabularnewline
0.09 & 30.4037307258676 & 0.540060066072781 \tabularnewline
0.1 & 30.6555971750963 & 0.539272068912884 \tabularnewline
0.11 & 30.8939265767042 & 0.531713460772011 \tabularnewline
0.12 & 31.1192874513635 & 0.521791552196478 \tabularnewline
0.13 & 31.3308523994085 & 0.507279515608068 \tabularnewline
0.14 & 31.5266736178407 & 0.47946268021509 \tabularnewline
0.15 & 31.7042634421397 & 0.439238488755559 \tabularnewline
0.16 & 31.8635296656455 & 0.401990514222194 \tabularnewline
0.17 & 32.0088898630695 & 0.386095148789156 \tabularnewline
0.18 & 32.1477223276549 & 0.395690077760793 \tabularnewline
0.19 & 32.2861083246826 & 0.415933364849099 \tabularnewline
0.2 & 32.4252094795999 & 0.425353228470652 \tabularnewline
0.21 & 32.5608045933923 & 0.409756316361658 \tabularnewline
0.22 & 32.6860015125177 & 0.36836700424306 \tabularnewline
0.23 & 32.7951980072558 & 0.312597446422452 \tabularnewline
0.24 & 32.8870652208996 & 0.260448135374253 \tabularnewline
0.25 & 32.9653219076231 & 0.229830378030501 \tabularnewline
0.26 & 33.0373719711809 & 0.231760365848515 \tabularnewline
0.27 & 33.1117248771039 & 0.26409655402834 \tabularnewline
0.28 & 33.1953204618613 & 0.314195313852061 \tabularnewline
0.29 & 33.2916533457162 & 0.366497757083003 \tabularnewline
0.3 & 33.4002003237680 & 0.40738178302103 \tabularnewline
0.31 & 33.5172209406878 & 0.428734638076113 \tabularnewline
0.32 & 33.6375729476763 & 0.429910981588863 \tabularnewline
0.33 & 33.7568517322517 & 0.418263107463815 \tabularnewline
0.34 & 33.8730695894509 & 0.405574835666296 \tabularnewline
0.35 & 33.9873205637127 & 0.404794993228162 \tabularnewline
0.36 & 34.1033519647202 & 0.424194010819288 \tabularnewline
0.37 & 34.2264610129586 & 0.46614243100319 \tabularnewline
0.38 & 34.3624078043533 & 0.528597890390989 \tabularnewline
0.39 & 34.5169522058864 & 0.61053948129863 \tabularnewline
0.4 & 34.6962310457266 & 0.715448330134305 \tabularnewline
0.41 & 34.9076881749085 & 0.851944516594994 \tabularnewline
0.42 & 35.1608940200261 & 1.03123342783474 \tabularnewline
0.43 & 35.4675177988364 & 1.26101221170246 \tabularnewline
0.44 & 35.8399840586554 & 1.53970772730678 \tabularnewline
0.45 & 36.2888545885258 & 1.85291696182280 \tabularnewline
0.46 & 36.819534372033 & 2.17323986063200 \tabularnewline
0.47 & 37.4292943829068 & 2.46407252294358 \tabularnewline
0.48 & 38.105673229651 & 2.68667109021333 \tabularnewline
0.49 & 38.8270060470875 & 2.80906905050063 \tabularnewline
0.5 & 39.565208399177 & 2.81434478516593 \tabularnewline
0.51 & 40.2902170014914 & 2.70441324413551 \tabularnewline
0.52 & 40.974924514876 & 2.49990859969165 \tabularnewline
0.53 & 41.5992684422791 & 2.23428103970291 \tabularnewline
0.54 & 42.1524234712266 & 1.9456334392274 \tabularnewline
0.55 & 42.6326893684625 & 1.66750440968747 \tabularnewline
0.56 & 43.0454059269717 & 1.42246744261756 \tabularnewline
0.57 & 43.3997821754698 & 1.21956187197968 \tabularnewline
0.58 & 43.7057203302424 & 1.05559951331428 \tabularnewline
0.59 & 43.9715311641393 & 0.920140950001615 \tabularnewline
0.6 & 44.2030021514579 & 0.801658669164468 \tabularnewline
0.61 & 44.4037780492254 & 0.6924358891242 \tabularnewline
0.62 & 44.5766083959552 & 0.591112614067563 \tabularnewline
0.63 & 44.7248052749389 & 0.502056374227703 \tabularnewline
0.64 & 44.8532677194916 & 0.433189677510396 \tabularnewline
0.65 & 44.9686443080929 & 0.392420912718504 \tabularnewline
0.66 & 45.0785584736025 & 0.382859954227924 \tabularnewline
0.67 & 45.1902064042474 & 0.399588058817657 \tabularnewline
0.68 & 45.3089170026493 & 0.431252184918714 \tabularnewline
0.69 & 45.4373026900386 & 0.46537860751289 \tabularnewline
0.7 & 45.5753678025544 & 0.49288775043498 \tabularnewline
0.71 & 45.7214635221541 & 0.510527404513107 \tabularnewline
0.72 & 45.8735283489936 & 0.52024889952664 \tabularnewline
0.73 & 46.0299242166478 & 0.525888506388648 \tabularnewline
0.74 & 46.1895079840358 & 0.529485515576623 \tabularnewline
0.75 & 46.3511845299574 & 0.52946356743954 \tabularnewline
0.76 & 46.5136235351145 & 0.523251791592135 \tabularnewline
0.77 & 46.6756883750538 & 0.511391018077222 \tabularnewline
0.78 & 46.8374477110601 & 0.499801436519152 \tabularnewline
0.79 & 47.0009581221522 & 0.49742705744157 \tabularnewline
0.8 & 47.1699845591582 & 0.509629808989585 \tabularnewline
0.81 & 47.3486176835352 & 0.533816088941965 \tabularnewline
0.82 & 47.5397033850662 & 0.561700753935544 \tabularnewline
0.83 & 47.7441758346529 & 0.5860102258045 \tabularnewline
0.84 & 47.9615459248512 & 0.604667118813691 \tabularnewline
0.85 & 48.190831007461 & 0.618641979268905 \tabularnewline
0.86 & 48.4311855588433 & 0.628349125501295 \tabularnewline
0.87 & 48.6822366767869 & 0.633983644521353 \tabularnewline
0.88 & 48.9444391064603 & 0.637993743329712 \tabularnewline
0.89 & 49.2194000184825 & 0.643757439631032 \tabularnewline
0.9 & 49.5103098450752 & 0.652736940149918 \tabularnewline
0.91 & 49.8231623529814 & 0.669046593506083 \tabularnewline
0.92 & 50.1676579859590 & 0.701543214054084 \tabularnewline
0.93 & 50.5530482293949 & 0.744981404435842 \tabularnewline
0.94 & 50.9766667003413 & 0.762463564621412 \tabularnewline
0.95 & 51.4179773495896 & 0.71282811478014 \tabularnewline
0.96 & 51.8633844717873 & 0.62429164254419 \tabularnewline
0.97 & 52.3561001617418 & 0.614991318802751 \tabularnewline
0.98 & 53.0209971240164 & 0.715544343941969 \tabularnewline
0.99 & 54.0294452791242 & 0.87752950638007 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81913&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]24.8882440184960[/C][C]1.64988735334997[/C][/ROW]
[ROW][C]0.02[/C][C]26.6831557794034[/C][C]1.08049245698593[/C][/ROW]
[ROW][C]0.03[/C][C]27.6850019567457[/C][C]0.829171096769419[/C][/ROW]
[ROW][C]0.04[/C][C]28.3590138371358[/C][C]0.834941628994824[/C][/ROW]
[ROW][C]0.05[/C][C]28.9287300818840[/C][C]0.830240307249441[/C][/ROW]
[ROW][C]0.06[/C][C]29.4178239075671[/C][C]0.731080421346711[/C][/ROW]
[ROW][C]0.07[/C][C]29.8131155131882[/C][C]0.610936058931672[/C][/ROW]
[ROW][C]0.08[/C][C]30.1306585813797[/C][C]0.549501418118864[/C][/ROW]
[ROW][C]0.09[/C][C]30.4037307258676[/C][C]0.540060066072781[/C][/ROW]
[ROW][C]0.1[/C][C]30.6555971750963[/C][C]0.539272068912884[/C][/ROW]
[ROW][C]0.11[/C][C]30.8939265767042[/C][C]0.531713460772011[/C][/ROW]
[ROW][C]0.12[/C][C]31.1192874513635[/C][C]0.521791552196478[/C][/ROW]
[ROW][C]0.13[/C][C]31.3308523994085[/C][C]0.507279515608068[/C][/ROW]
[ROW][C]0.14[/C][C]31.5266736178407[/C][C]0.47946268021509[/C][/ROW]
[ROW][C]0.15[/C][C]31.7042634421397[/C][C]0.439238488755559[/C][/ROW]
[ROW][C]0.16[/C][C]31.8635296656455[/C][C]0.401990514222194[/C][/ROW]
[ROW][C]0.17[/C][C]32.0088898630695[/C][C]0.386095148789156[/C][/ROW]
[ROW][C]0.18[/C][C]32.1477223276549[/C][C]0.395690077760793[/C][/ROW]
[ROW][C]0.19[/C][C]32.2861083246826[/C][C]0.415933364849099[/C][/ROW]
[ROW][C]0.2[/C][C]32.4252094795999[/C][C]0.425353228470652[/C][/ROW]
[ROW][C]0.21[/C][C]32.5608045933923[/C][C]0.409756316361658[/C][/ROW]
[ROW][C]0.22[/C][C]32.6860015125177[/C][C]0.36836700424306[/C][/ROW]
[ROW][C]0.23[/C][C]32.7951980072558[/C][C]0.312597446422452[/C][/ROW]
[ROW][C]0.24[/C][C]32.8870652208996[/C][C]0.260448135374253[/C][/ROW]
[ROW][C]0.25[/C][C]32.9653219076231[/C][C]0.229830378030501[/C][/ROW]
[ROW][C]0.26[/C][C]33.0373719711809[/C][C]0.231760365848515[/C][/ROW]
[ROW][C]0.27[/C][C]33.1117248771039[/C][C]0.26409655402834[/C][/ROW]
[ROW][C]0.28[/C][C]33.1953204618613[/C][C]0.314195313852061[/C][/ROW]
[ROW][C]0.29[/C][C]33.2916533457162[/C][C]0.366497757083003[/C][/ROW]
[ROW][C]0.3[/C][C]33.4002003237680[/C][C]0.40738178302103[/C][/ROW]
[ROW][C]0.31[/C][C]33.5172209406878[/C][C]0.428734638076113[/C][/ROW]
[ROW][C]0.32[/C][C]33.6375729476763[/C][C]0.429910981588863[/C][/ROW]
[ROW][C]0.33[/C][C]33.7568517322517[/C][C]0.418263107463815[/C][/ROW]
[ROW][C]0.34[/C][C]33.8730695894509[/C][C]0.405574835666296[/C][/ROW]
[ROW][C]0.35[/C][C]33.9873205637127[/C][C]0.404794993228162[/C][/ROW]
[ROW][C]0.36[/C][C]34.1033519647202[/C][C]0.424194010819288[/C][/ROW]
[ROW][C]0.37[/C][C]34.2264610129586[/C][C]0.46614243100319[/C][/ROW]
[ROW][C]0.38[/C][C]34.3624078043533[/C][C]0.528597890390989[/C][/ROW]
[ROW][C]0.39[/C][C]34.5169522058864[/C][C]0.61053948129863[/C][/ROW]
[ROW][C]0.4[/C][C]34.6962310457266[/C][C]0.715448330134305[/C][/ROW]
[ROW][C]0.41[/C][C]34.9076881749085[/C][C]0.851944516594994[/C][/ROW]
[ROW][C]0.42[/C][C]35.1608940200261[/C][C]1.03123342783474[/C][/ROW]
[ROW][C]0.43[/C][C]35.4675177988364[/C][C]1.26101221170246[/C][/ROW]
[ROW][C]0.44[/C][C]35.8399840586554[/C][C]1.53970772730678[/C][/ROW]
[ROW][C]0.45[/C][C]36.2888545885258[/C][C]1.85291696182280[/C][/ROW]
[ROW][C]0.46[/C][C]36.819534372033[/C][C]2.17323986063200[/C][/ROW]
[ROW][C]0.47[/C][C]37.4292943829068[/C][C]2.46407252294358[/C][/ROW]
[ROW][C]0.48[/C][C]38.105673229651[/C][C]2.68667109021333[/C][/ROW]
[ROW][C]0.49[/C][C]38.8270060470875[/C][C]2.80906905050063[/C][/ROW]
[ROW][C]0.5[/C][C]39.565208399177[/C][C]2.81434478516593[/C][/ROW]
[ROW][C]0.51[/C][C]40.2902170014914[/C][C]2.70441324413551[/C][/ROW]
[ROW][C]0.52[/C][C]40.974924514876[/C][C]2.49990859969165[/C][/ROW]
[ROW][C]0.53[/C][C]41.5992684422791[/C][C]2.23428103970291[/C][/ROW]
[ROW][C]0.54[/C][C]42.1524234712266[/C][C]1.9456334392274[/C][/ROW]
[ROW][C]0.55[/C][C]42.6326893684625[/C][C]1.66750440968747[/C][/ROW]
[ROW][C]0.56[/C][C]43.0454059269717[/C][C]1.42246744261756[/C][/ROW]
[ROW][C]0.57[/C][C]43.3997821754698[/C][C]1.21956187197968[/C][/ROW]
[ROW][C]0.58[/C][C]43.7057203302424[/C][C]1.05559951331428[/C][/ROW]
[ROW][C]0.59[/C][C]43.9715311641393[/C][C]0.920140950001615[/C][/ROW]
[ROW][C]0.6[/C][C]44.2030021514579[/C][C]0.801658669164468[/C][/ROW]
[ROW][C]0.61[/C][C]44.4037780492254[/C][C]0.6924358891242[/C][/ROW]
[ROW][C]0.62[/C][C]44.5766083959552[/C][C]0.591112614067563[/C][/ROW]
[ROW][C]0.63[/C][C]44.7248052749389[/C][C]0.502056374227703[/C][/ROW]
[ROW][C]0.64[/C][C]44.8532677194916[/C][C]0.433189677510396[/C][/ROW]
[ROW][C]0.65[/C][C]44.9686443080929[/C][C]0.392420912718504[/C][/ROW]
[ROW][C]0.66[/C][C]45.0785584736025[/C][C]0.382859954227924[/C][/ROW]
[ROW][C]0.67[/C][C]45.1902064042474[/C][C]0.399588058817657[/C][/ROW]
[ROW][C]0.68[/C][C]45.3089170026493[/C][C]0.431252184918714[/C][/ROW]
[ROW][C]0.69[/C][C]45.4373026900386[/C][C]0.46537860751289[/C][/ROW]
[ROW][C]0.7[/C][C]45.5753678025544[/C][C]0.49288775043498[/C][/ROW]
[ROW][C]0.71[/C][C]45.7214635221541[/C][C]0.510527404513107[/C][/ROW]
[ROW][C]0.72[/C][C]45.8735283489936[/C][C]0.52024889952664[/C][/ROW]
[ROW][C]0.73[/C][C]46.0299242166478[/C][C]0.525888506388648[/C][/ROW]
[ROW][C]0.74[/C][C]46.1895079840358[/C][C]0.529485515576623[/C][/ROW]
[ROW][C]0.75[/C][C]46.3511845299574[/C][C]0.52946356743954[/C][/ROW]
[ROW][C]0.76[/C][C]46.5136235351145[/C][C]0.523251791592135[/C][/ROW]
[ROW][C]0.77[/C][C]46.6756883750538[/C][C]0.511391018077222[/C][/ROW]
[ROW][C]0.78[/C][C]46.8374477110601[/C][C]0.499801436519152[/C][/ROW]
[ROW][C]0.79[/C][C]47.0009581221522[/C][C]0.49742705744157[/C][/ROW]
[ROW][C]0.8[/C][C]47.1699845591582[/C][C]0.509629808989585[/C][/ROW]
[ROW][C]0.81[/C][C]47.3486176835352[/C][C]0.533816088941965[/C][/ROW]
[ROW][C]0.82[/C][C]47.5397033850662[/C][C]0.561700753935544[/C][/ROW]
[ROW][C]0.83[/C][C]47.7441758346529[/C][C]0.5860102258045[/C][/ROW]
[ROW][C]0.84[/C][C]47.9615459248512[/C][C]0.604667118813691[/C][/ROW]
[ROW][C]0.85[/C][C]48.190831007461[/C][C]0.618641979268905[/C][/ROW]
[ROW][C]0.86[/C][C]48.4311855588433[/C][C]0.628349125501295[/C][/ROW]
[ROW][C]0.87[/C][C]48.6822366767869[/C][C]0.633983644521353[/C][/ROW]
[ROW][C]0.88[/C][C]48.9444391064603[/C][C]0.637993743329712[/C][/ROW]
[ROW][C]0.89[/C][C]49.2194000184825[/C][C]0.643757439631032[/C][/ROW]
[ROW][C]0.9[/C][C]49.5103098450752[/C][C]0.652736940149918[/C][/ROW]
[ROW][C]0.91[/C][C]49.8231623529814[/C][C]0.669046593506083[/C][/ROW]
[ROW][C]0.92[/C][C]50.1676579859590[/C][C]0.701543214054084[/C][/ROW]
[ROW][C]0.93[/C][C]50.5530482293949[/C][C]0.744981404435842[/C][/ROW]
[ROW][C]0.94[/C][C]50.9766667003413[/C][C]0.762463564621412[/C][/ROW]
[ROW][C]0.95[/C][C]51.4179773495896[/C][C]0.71282811478014[/C][/ROW]
[ROW][C]0.96[/C][C]51.8633844717873[/C][C]0.62429164254419[/C][/ROW]
[ROW][C]0.97[/C][C]52.3561001617418[/C][C]0.614991318802751[/C][/ROW]
[ROW][C]0.98[/C][C]53.0209971240164[/C][C]0.715544343941969[/C][/ROW]
[ROW][C]0.99[/C][C]54.0294452791242[/C][C]0.87752950638007[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81913&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81913&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
0.0124.88824401849601.64988735334997
0.0226.68315577940341.08049245698593
0.0327.68500195674570.829171096769419
0.0428.35901383713580.834941628994824
0.0528.92873008188400.830240307249441
0.0629.41782390756710.731080421346711
0.0729.81311551318820.610936058931672
0.0830.13065858137970.549501418118864
0.0930.40373072586760.540060066072781
0.130.65559717509630.539272068912884
0.1130.89392657670420.531713460772011
0.1231.11928745136350.521791552196478
0.1331.33085239940850.507279515608068
0.1431.52667361784070.47946268021509
0.1531.70426344213970.439238488755559
0.1631.86352966564550.401990514222194
0.1732.00888986306950.386095148789156
0.1832.14772232765490.395690077760793
0.1932.28610832468260.415933364849099
0.232.42520947959990.425353228470652
0.2132.56080459339230.409756316361658
0.2232.68600151251770.36836700424306
0.2332.79519800725580.312597446422452
0.2432.88706522089960.260448135374253
0.2532.96532190762310.229830378030501
0.2633.03737197118090.231760365848515
0.2733.11172487710390.26409655402834
0.2833.19532046186130.314195313852061
0.2933.29165334571620.366497757083003
0.333.40020032376800.40738178302103
0.3133.51722094068780.428734638076113
0.3233.63757294767630.429910981588863
0.3333.75685173225170.418263107463815
0.3433.87306958945090.405574835666296
0.3533.98732056371270.404794993228162
0.3634.10335196472020.424194010819288
0.3734.22646101295860.46614243100319
0.3834.36240780435330.528597890390989
0.3934.51695220588640.61053948129863
0.434.69623104572660.715448330134305
0.4134.90768817490850.851944516594994
0.4235.16089402002611.03123342783474
0.4335.46751779883641.26101221170246
0.4435.83998405865541.53970772730678
0.4536.28885458852581.85291696182280
0.4636.8195343720332.17323986063200
0.4737.42929438290682.46407252294358
0.4838.1056732296512.68667109021333
0.4938.82700604708752.80906905050063
0.539.5652083991772.81434478516593
0.5140.29021700149142.70441324413551
0.5240.9749245148762.49990859969165
0.5341.59926844227912.23428103970291
0.5442.15242347122661.9456334392274
0.5542.63268936846251.66750440968747
0.5643.04540592697171.42246744261756
0.5743.39978217546981.21956187197968
0.5843.70572033024241.05559951331428
0.5943.97153116413930.920140950001615
0.644.20300215145790.801658669164468
0.6144.40377804922540.6924358891242
0.6244.57660839595520.591112614067563
0.6344.72480527493890.502056374227703
0.6444.85326771949160.433189677510396
0.6544.96864430809290.392420912718504
0.6645.07855847360250.382859954227924
0.6745.19020640424740.399588058817657
0.6845.30891700264930.431252184918714
0.6945.43730269003860.46537860751289
0.745.57536780255440.49288775043498
0.7145.72146352215410.510527404513107
0.7245.87352834899360.52024889952664
0.7346.02992421664780.525888506388648
0.7446.18950798403580.529485515576623
0.7546.35118452995740.52946356743954
0.7646.51362353511450.523251791592135
0.7746.67568837505380.511391018077222
0.7846.83744771106010.499801436519152
0.7947.00095812215220.49742705744157
0.847.16998455915820.509629808989585
0.8147.34861768353520.533816088941965
0.8247.53970338506620.561700753935544
0.8347.74417583465290.5860102258045
0.8447.96154592485120.604667118813691
0.8548.1908310074610.618641979268905
0.8648.43118555884330.628349125501295
0.8748.68223667678690.633983644521353
0.8848.94443910646030.637993743329712
0.8949.21940001848250.643757439631032
0.949.51030984507520.652736940149918
0.9149.82316235298140.669046593506083
0.9250.16765798595900.701543214054084
0.9350.55304822939490.744981404435842
0.9450.97666670034130.762463564621412
0.9551.41797734958960.71282811478014
0.9651.86338447178730.62429164254419
0.9752.35610016174180.614991318802751
0.9853.02099712401640.715544343941969
0.9954.02944527912420.87752950638007


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')