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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 17 Oct 2009 07:35:52 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/17/t1255786625pfcu9ovpkt3u6t0.htm/, Retrieved Sun, 05 May 2024 23:16:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47178, Retrieved Sun, 05 May 2024 23:16:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsws3p1.5Harreldavis1
Estimated Impact128

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] [] [2009-10-17 13:35:52] [9ea4b07b6662a0f40f92decdf1e3b5d5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.28
87.28
87.09
86.92
87.59
90.72
90.69
90.3
89.55
88.94
88.41
87.82
87.07
86.82
86.4
86.02
85.66
85.32
85
84.67
83.94
82.83
81.95
81.19
80.48

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47178&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47178&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47178&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.54463835432760.685714086019272
0.0280.6398197978880.697619663492375
0.0380.76226926581010.721231777562798
0.0480.9074629592390.758105572207256
0.0581.07062452853270.806783353819311
0.0681.24736796834590.863756191540104
0.0781.43400445512480.92470029128907
0.0881.62759638820230.985532485337503
0.0981.82585939581111.04283204597209
0.182.02700025790431.09407294595883
0.1182.22955264003071.13721069899377
0.1282.43224529157861.17104697375819
0.1382.63391544513521.19478604589484
0.1482.83346568582341.20819832628446
0.1583.02985497291761.21140190112414
0.1683.222112024591.20491759411887
0.1783.40935996713911.18978563508938
0.1883.59084339016321.16712459477041
0.1983.76595163669311.13826015776151
0.283.93423466211331.10483774033637
0.2184.09540983573921.0682877168694
0.2284.24935956750971.03010997321549
0.2384.39612066297180.991707611526293
0.2484.53586692798370.954275797705248
0.2584.66888685073420.918691778284486
0.2684.7955582627290.885765491739242
0.2784.9163217883520.855979542297718
0.2885.03165468793820.829497978992332
0.2985.14204642553550.806393578469899
0.385.24797698510950.786379777806493
0.3185.3498986462970.769148408188776
0.3285.44822163472260.754207959038643
0.3385.54330379782210.740986589330438
0.3485.63544423453320.728938343117398
0.3585.72488063039210.71753662593664
0.3685.8117899184710.706152187475589
0.3785.8962917980810.694416029895623
0.3885.97845459213680.681902793906549
0.3986.05830290449550.668257575594623
0.486.13582654430260.653360981836046
0.4186.21099020972850.637027511838341
0.4286.28374346353010.619244330056148
0.4386.35403058357840.600093663728002
0.4486.42179992954170.57966735261032
0.4586.48701252963270.55823096681865
0.4686.54964965639510.535978774128800
0.4786.60971922582860.513266046298876
0.4886.66726091770580.490529681135438
0.4986.72234997470380.468016968093021
0.586.77509969200850.446234538422528
0.5186.82566265552930.425567076833649
0.5286.8742308242510.406385303807808
0.5386.92103457943620.389184133934435
0.5486.96634087985290.374319370617314
0.5587.01045066805930.362127385416855
0.5687.0536956689080.352974990267767
0.5787.09643470933980.347027183302351
0.5887.1390496703810.344668710314072
0.5987.18194116054670.345893792755028
0.687.2255239773330.350807145690019
0.6187.27022240282370.359412883349892
0.6287.31646536295370.371630911779344
0.6387.36468146940460.387306642789998
0.6487.41529395932040.406198269712286
0.6587.46871555089580.4281265284866
0.6687.5253432411490.45275800622876
0.6787.58555308349610.479802502713582
0.6887.64969499379050.508892485160418
0.6987.71808764030030.539609380482902
0.787.79101347151360.571618241473653
0.7187.86871392189930.604365466637113
0.7287.95138480719070.637424442340091
0.7388.0391718767030.670357116774905
0.7488.132166432680.702624305224164
0.7588.23040086108330.733691134210701
0.7688.3338438537560.76315426913867
0.7788.44239505134140.790469841394578
0.7888.55587881573820.815146944561602
0.7988.674036868140.83672342077923
0.888.79651962188880.854674902654873
0.8188.9228762141230.868510275121959
0.8289.05254350678510.877696716529538
0.8389.18483468738540.881556086210944
0.8489.31892854173550.879537217989422
0.8589.45386096693280.870915686954757
0.8689.58852079520130.854966876939657
0.8789.72165243686620.83105472587917
0.8889.851868129190.798559394361275
0.8989.9776725821810.757039609210392
0.990.09750241759110.706277416206648
0.9190.20978188667920.646487335291651
0.9290.31299484805580.578303369963812
0.9390.4057708887910.50298497990627
0.9490.48698089912310.422474607688264
0.9590.55583463354530.339472671246735
0.9690.61197023256630.257452538361541
0.9790.65552387360950.180547415915339
0.9890.68716720977340.113344417856393
0.9990.70810145265960.0607322400647472

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.5446383543276 & 0.685714086019272 \tabularnewline
0.02 & 80.639819797888 & 0.697619663492375 \tabularnewline
0.03 & 80.7622692658101 & 0.721231777562798 \tabularnewline
0.04 & 80.907462959239 & 0.758105572207256 \tabularnewline
0.05 & 81.0706245285327 & 0.806783353819311 \tabularnewline
0.06 & 81.2473679683459 & 0.863756191540104 \tabularnewline
0.07 & 81.4340044551248 & 0.92470029128907 \tabularnewline
0.08 & 81.6275963882023 & 0.985532485337503 \tabularnewline
0.09 & 81.8258593958111 & 1.04283204597209 \tabularnewline
0.1 & 82.0270002579043 & 1.09407294595883 \tabularnewline
0.11 & 82.2295526400307 & 1.13721069899377 \tabularnewline
0.12 & 82.4322452915786 & 1.17104697375819 \tabularnewline
0.13 & 82.6339154451352 & 1.19478604589484 \tabularnewline
0.14 & 82.8334656858234 & 1.20819832628446 \tabularnewline
0.15 & 83.0298549729176 & 1.21140190112414 \tabularnewline
0.16 & 83.22211202459 & 1.20491759411887 \tabularnewline
0.17 & 83.4093599671391 & 1.18978563508938 \tabularnewline
0.18 & 83.5908433901632 & 1.16712459477041 \tabularnewline
0.19 & 83.7659516366931 & 1.13826015776151 \tabularnewline
0.2 & 83.9342346621133 & 1.10483774033637 \tabularnewline
0.21 & 84.0954098357392 & 1.0682877168694 \tabularnewline
0.22 & 84.2493595675097 & 1.03010997321549 \tabularnewline
0.23 & 84.3961206629718 & 0.991707611526293 \tabularnewline
0.24 & 84.5358669279837 & 0.954275797705248 \tabularnewline
0.25 & 84.6688868507342 & 0.918691778284486 \tabularnewline
0.26 & 84.795558262729 & 0.885765491739242 \tabularnewline
0.27 & 84.916321788352 & 0.855979542297718 \tabularnewline
0.28 & 85.0316546879382 & 0.829497978992332 \tabularnewline
0.29 & 85.1420464255355 & 0.806393578469899 \tabularnewline
0.3 & 85.2479769851095 & 0.786379777806493 \tabularnewline
0.31 & 85.349898646297 & 0.769148408188776 \tabularnewline
0.32 & 85.4482216347226 & 0.754207959038643 \tabularnewline
0.33 & 85.5433037978221 & 0.740986589330438 \tabularnewline
0.34 & 85.6354442345332 & 0.728938343117398 \tabularnewline
0.35 & 85.7248806303921 & 0.71753662593664 \tabularnewline
0.36 & 85.811789918471 & 0.706152187475589 \tabularnewline
0.37 & 85.896291798081 & 0.694416029895623 \tabularnewline
0.38 & 85.9784545921368 & 0.681902793906549 \tabularnewline
0.39 & 86.0583029044955 & 0.668257575594623 \tabularnewline
0.4 & 86.1358265443026 & 0.653360981836046 \tabularnewline
0.41 & 86.2109902097285 & 0.637027511838341 \tabularnewline
0.42 & 86.2837434635301 & 0.619244330056148 \tabularnewline
0.43 & 86.3540305835784 & 0.600093663728002 \tabularnewline
0.44 & 86.4217999295417 & 0.57966735261032 \tabularnewline
0.45 & 86.4870125296327 & 0.55823096681865 \tabularnewline
0.46 & 86.5496496563951 & 0.535978774128800 \tabularnewline
0.47 & 86.6097192258286 & 0.513266046298876 \tabularnewline
0.48 & 86.6672609177058 & 0.490529681135438 \tabularnewline
0.49 & 86.7223499747038 & 0.468016968093021 \tabularnewline
0.5 & 86.7750996920085 & 0.446234538422528 \tabularnewline
0.51 & 86.8256626555293 & 0.425567076833649 \tabularnewline
0.52 & 86.874230824251 & 0.406385303807808 \tabularnewline
0.53 & 86.9210345794362 & 0.389184133934435 \tabularnewline
0.54 & 86.9663408798529 & 0.374319370617314 \tabularnewline
0.55 & 87.0104506680593 & 0.362127385416855 \tabularnewline
0.56 & 87.053695668908 & 0.352974990267767 \tabularnewline
0.57 & 87.0964347093398 & 0.347027183302351 \tabularnewline
0.58 & 87.139049670381 & 0.344668710314072 \tabularnewline
0.59 & 87.1819411605467 & 0.345893792755028 \tabularnewline
0.6 & 87.225523977333 & 0.350807145690019 \tabularnewline
0.61 & 87.2702224028237 & 0.359412883349892 \tabularnewline
0.62 & 87.3164653629537 & 0.371630911779344 \tabularnewline
0.63 & 87.3646814694046 & 0.387306642789998 \tabularnewline
0.64 & 87.4152939593204 & 0.406198269712286 \tabularnewline
0.65 & 87.4687155508958 & 0.4281265284866 \tabularnewline
0.66 & 87.525343241149 & 0.45275800622876 \tabularnewline
0.67 & 87.5855530834961 & 0.479802502713582 \tabularnewline
0.68 & 87.6496949937905 & 0.508892485160418 \tabularnewline
0.69 & 87.7180876403003 & 0.539609380482902 \tabularnewline
0.7 & 87.7910134715136 & 0.571618241473653 \tabularnewline
0.71 & 87.8687139218993 & 0.604365466637113 \tabularnewline
0.72 & 87.9513848071907 & 0.637424442340091 \tabularnewline
0.73 & 88.039171876703 & 0.670357116774905 \tabularnewline
0.74 & 88.13216643268 & 0.702624305224164 \tabularnewline
0.75 & 88.2304008610833 & 0.733691134210701 \tabularnewline
0.76 & 88.333843853756 & 0.76315426913867 \tabularnewline
0.77 & 88.4423950513414 & 0.790469841394578 \tabularnewline
0.78 & 88.5558788157382 & 0.815146944561602 \tabularnewline
0.79 & 88.67403686814 & 0.83672342077923 \tabularnewline
0.8 & 88.7965196218888 & 0.854674902654873 \tabularnewline
0.81 & 88.922876214123 & 0.868510275121959 \tabularnewline
0.82 & 89.0525435067851 & 0.877696716529538 \tabularnewline
0.83 & 89.1848346873854 & 0.881556086210944 \tabularnewline
0.84 & 89.3189285417355 & 0.879537217989422 \tabularnewline
0.85 & 89.4538609669328 & 0.870915686954757 \tabularnewline
0.86 & 89.5885207952013 & 0.854966876939657 \tabularnewline
0.87 & 89.7216524368662 & 0.83105472587917 \tabularnewline
0.88 & 89.85186812919 & 0.798559394361275 \tabularnewline
0.89 & 89.977672582181 & 0.757039609210392 \tabularnewline
0.9 & 90.0975024175911 & 0.706277416206648 \tabularnewline
0.91 & 90.2097818866792 & 0.646487335291651 \tabularnewline
0.92 & 90.3129948480558 & 0.578303369963812 \tabularnewline
0.93 & 90.405770888791 & 0.50298497990627 \tabularnewline
0.94 & 90.4869808991231 & 0.422474607688264 \tabularnewline
0.95 & 90.5558346335453 & 0.339472671246735 \tabularnewline
0.96 & 90.6119702325663 & 0.257452538361541 \tabularnewline
0.97 & 90.6555238736095 & 0.180547415915339 \tabularnewline
0.98 & 90.6871672097734 & 0.113344417856393 \tabularnewline
0.99 & 90.7081014526596 & 0.0607322400647472 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47178&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]80.5446383543276[/C][C]0.685714086019272[/C][/ROW]
[ROW][C]0.02[/C][C]80.639819797888[/C][C]0.697619663492375[/C][/ROW]
[ROW][C]0.03[/C][C]80.7622692658101[/C][C]0.721231777562798[/C][/ROW]
[ROW][C]0.04[/C][C]80.907462959239[/C][C]0.758105572207256[/C][/ROW]
[ROW][C]0.05[/C][C]81.0706245285327[/C][C]0.806783353819311[/C][/ROW]
[ROW][C]0.06[/C][C]81.2473679683459[/C][C]0.863756191540104[/C][/ROW]
[ROW][C]0.07[/C][C]81.4340044551248[/C][C]0.92470029128907[/C][/ROW]
[ROW][C]0.08[/C][C]81.6275963882023[/C][C]0.985532485337503[/C][/ROW]
[ROW][C]0.09[/C][C]81.8258593958111[/C][C]1.04283204597209[/C][/ROW]
[ROW][C]0.1[/C][C]82.0270002579043[/C][C]1.09407294595883[/C][/ROW]
[ROW][C]0.11[/C][C]82.2295526400307[/C][C]1.13721069899377[/C][/ROW]
[ROW][C]0.12[/C][C]82.4322452915786[/C][C]1.17104697375819[/C][/ROW]
[ROW][C]0.13[/C][C]82.6339154451352[/C][C]1.19478604589484[/C][/ROW]
[ROW][C]0.14[/C][C]82.8334656858234[/C][C]1.20819832628446[/C][/ROW]
[ROW][C]0.15[/C][C]83.0298549729176[/C][C]1.21140190112414[/C][/ROW]
[ROW][C]0.16[/C][C]83.22211202459[/C][C]1.20491759411887[/C][/ROW]
[ROW][C]0.17[/C][C]83.4093599671391[/C][C]1.18978563508938[/C][/ROW]
[ROW][C]0.18[/C][C]83.5908433901632[/C][C]1.16712459477041[/C][/ROW]
[ROW][C]0.19[/C][C]83.7659516366931[/C][C]1.13826015776151[/C][/ROW]
[ROW][C]0.2[/C][C]83.9342346621133[/C][C]1.10483774033637[/C][/ROW]
[ROW][C]0.21[/C][C]84.0954098357392[/C][C]1.0682877168694[/C][/ROW]
[ROW][C]0.22[/C][C]84.2493595675097[/C][C]1.03010997321549[/C][/ROW]
[ROW][C]0.23[/C][C]84.3961206629718[/C][C]0.991707611526293[/C][/ROW]
[ROW][C]0.24[/C][C]84.5358669279837[/C][C]0.954275797705248[/C][/ROW]
[ROW][C]0.25[/C][C]84.6688868507342[/C][C]0.918691778284486[/C][/ROW]
[ROW][C]0.26[/C][C]84.795558262729[/C][C]0.885765491739242[/C][/ROW]
[ROW][C]0.27[/C][C]84.916321788352[/C][C]0.855979542297718[/C][/ROW]
[ROW][C]0.28[/C][C]85.0316546879382[/C][C]0.829497978992332[/C][/ROW]
[ROW][C]0.29[/C][C]85.1420464255355[/C][C]0.806393578469899[/C][/ROW]
[ROW][C]0.3[/C][C]85.2479769851095[/C][C]0.786379777806493[/C][/ROW]
[ROW][C]0.31[/C][C]85.349898646297[/C][C]0.769148408188776[/C][/ROW]
[ROW][C]0.32[/C][C]85.4482216347226[/C][C]0.754207959038643[/C][/ROW]
[ROW][C]0.33[/C][C]85.5433037978221[/C][C]0.740986589330438[/C][/ROW]
[ROW][C]0.34[/C][C]85.6354442345332[/C][C]0.728938343117398[/C][/ROW]
[ROW][C]0.35[/C][C]85.7248806303921[/C][C]0.71753662593664[/C][/ROW]
[ROW][C]0.36[/C][C]85.811789918471[/C][C]0.706152187475589[/C][/ROW]
[ROW][C]0.37[/C][C]85.896291798081[/C][C]0.694416029895623[/C][/ROW]
[ROW][C]0.38[/C][C]85.9784545921368[/C][C]0.681902793906549[/C][/ROW]
[ROW][C]0.39[/C][C]86.0583029044955[/C][C]0.668257575594623[/C][/ROW]
[ROW][C]0.4[/C][C]86.1358265443026[/C][C]0.653360981836046[/C][/ROW]
[ROW][C]0.41[/C][C]86.2109902097285[/C][C]0.637027511838341[/C][/ROW]
[ROW][C]0.42[/C][C]86.2837434635301[/C][C]0.619244330056148[/C][/ROW]
[ROW][C]0.43[/C][C]86.3540305835784[/C][C]0.600093663728002[/C][/ROW]
[ROW][C]0.44[/C][C]86.4217999295417[/C][C]0.57966735261032[/C][/ROW]
[ROW][C]0.45[/C][C]86.4870125296327[/C][C]0.55823096681865[/C][/ROW]
[ROW][C]0.46[/C][C]86.5496496563951[/C][C]0.535978774128800[/C][/ROW]
[ROW][C]0.47[/C][C]86.6097192258286[/C][C]0.513266046298876[/C][/ROW]
[ROW][C]0.48[/C][C]86.6672609177058[/C][C]0.490529681135438[/C][/ROW]
[ROW][C]0.49[/C][C]86.7223499747038[/C][C]0.468016968093021[/C][/ROW]
[ROW][C]0.5[/C][C]86.7750996920085[/C][C]0.446234538422528[/C][/ROW]
[ROW][C]0.51[/C][C]86.8256626555293[/C][C]0.425567076833649[/C][/ROW]
[ROW][C]0.52[/C][C]86.874230824251[/C][C]0.406385303807808[/C][/ROW]
[ROW][C]0.53[/C][C]86.9210345794362[/C][C]0.389184133934435[/C][/ROW]
[ROW][C]0.54[/C][C]86.9663408798529[/C][C]0.374319370617314[/C][/ROW]
[ROW][C]0.55[/C][C]87.0104506680593[/C][C]0.362127385416855[/C][/ROW]
[ROW][C]0.56[/C][C]87.053695668908[/C][C]0.352974990267767[/C][/ROW]
[ROW][C]0.57[/C][C]87.0964347093398[/C][C]0.347027183302351[/C][/ROW]
[ROW][C]0.58[/C][C]87.139049670381[/C][C]0.344668710314072[/C][/ROW]
[ROW][C]0.59[/C][C]87.1819411605467[/C][C]0.345893792755028[/C][/ROW]
[ROW][C]0.6[/C][C]87.225523977333[/C][C]0.350807145690019[/C][/ROW]
[ROW][C]0.61[/C][C]87.2702224028237[/C][C]0.359412883349892[/C][/ROW]
[ROW][C]0.62[/C][C]87.3164653629537[/C][C]0.371630911779344[/C][/ROW]
[ROW][C]0.63[/C][C]87.3646814694046[/C][C]0.387306642789998[/C][/ROW]
[ROW][C]0.64[/C][C]87.4152939593204[/C][C]0.406198269712286[/C][/ROW]
[ROW][C]0.65[/C][C]87.4687155508958[/C][C]0.4281265284866[/C][/ROW]
[ROW][C]0.66[/C][C]87.525343241149[/C][C]0.45275800622876[/C][/ROW]
[ROW][C]0.67[/C][C]87.5855530834961[/C][C]0.479802502713582[/C][/ROW]
[ROW][C]0.68[/C][C]87.6496949937905[/C][C]0.508892485160418[/C][/ROW]
[ROW][C]0.69[/C][C]87.7180876403003[/C][C]0.539609380482902[/C][/ROW]
[ROW][C]0.7[/C][C]87.7910134715136[/C][C]0.571618241473653[/C][/ROW]
[ROW][C]0.71[/C][C]87.8687139218993[/C][C]0.604365466637113[/C][/ROW]
[ROW][C]0.72[/C][C]87.9513848071907[/C][C]0.637424442340091[/C][/ROW]
[ROW][C]0.73[/C][C]88.039171876703[/C][C]0.670357116774905[/C][/ROW]
[ROW][C]0.74[/C][C]88.13216643268[/C][C]0.702624305224164[/C][/ROW]
[ROW][C]0.75[/C][C]88.2304008610833[/C][C]0.733691134210701[/C][/ROW]
[ROW][C]0.76[/C][C]88.333843853756[/C][C]0.76315426913867[/C][/ROW]
[ROW][C]0.77[/C][C]88.4423950513414[/C][C]0.790469841394578[/C][/ROW]
[ROW][C]0.78[/C][C]88.5558788157382[/C][C]0.815146944561602[/C][/ROW]
[ROW][C]0.79[/C][C]88.67403686814[/C][C]0.83672342077923[/C][/ROW]
[ROW][C]0.8[/C][C]88.7965196218888[/C][C]0.854674902654873[/C][/ROW]
[ROW][C]0.81[/C][C]88.922876214123[/C][C]0.868510275121959[/C][/ROW]
[ROW][C]0.82[/C][C]89.0525435067851[/C][C]0.877696716529538[/C][/ROW]
[ROW][C]0.83[/C][C]89.1848346873854[/C][C]0.881556086210944[/C][/ROW]
[ROW][C]0.84[/C][C]89.3189285417355[/C][C]0.879537217989422[/C][/ROW]
[ROW][C]0.85[/C][C]89.4538609669328[/C][C]0.870915686954757[/C][/ROW]
[ROW][C]0.86[/C][C]89.5885207952013[/C][C]0.854966876939657[/C][/ROW]
[ROW][C]0.87[/C][C]89.7216524368662[/C][C]0.83105472587917[/C][/ROW]
[ROW][C]0.88[/C][C]89.85186812919[/C][C]0.798559394361275[/C][/ROW]
[ROW][C]0.89[/C][C]89.977672582181[/C][C]0.757039609210392[/C][/ROW]
[ROW][C]0.9[/C][C]90.0975024175911[/C][C]0.706277416206648[/C][/ROW]
[ROW][C]0.91[/C][C]90.2097818866792[/C][C]0.646487335291651[/C][/ROW]
[ROW][C]0.92[/C][C]90.3129948480558[/C][C]0.578303369963812[/C][/ROW]
[ROW][C]0.93[/C][C]90.405770888791[/C][C]0.50298497990627[/C][/ROW]
[ROW][C]0.94[/C][C]90.4869808991231[/C][C]0.422474607688264[/C][/ROW]
[ROW][C]0.95[/C][C]90.5558346335453[/C][C]0.339472671246735[/C][/ROW]
[ROW][C]0.96[/C][C]90.6119702325663[/C][C]0.257452538361541[/C][/ROW]
[ROW][C]0.97[/C][C]90.6555238736095[/C][C]0.180547415915339[/C][/ROW]
[ROW][C]0.98[/C][C]90.6871672097734[/C][C]0.113344417856393[/C][/ROW]
[ROW][C]0.99[/C][C]90.7081014526596[/C][C]0.0607322400647472[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47178&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47178&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
0.0180.54463835432760.685714086019272
0.0280.6398197978880.697619663492375
0.0380.76226926581010.721231777562798
0.0480.9074629592390.758105572207256
0.0581.07062452853270.806783353819311
0.0681.24736796834590.863756191540104
0.0781.43400445512480.92470029128907
0.0881.62759638820230.985532485337503
0.0981.82585939581111.04283204597209
0.182.02700025790431.09407294595883
0.1182.22955264003071.13721069899377
0.1282.43224529157861.17104697375819
0.1382.63391544513521.19478604589484
0.1482.83346568582341.20819832628446
0.1583.02985497291761.21140190112414
0.1683.222112024591.20491759411887
0.1783.40935996713911.18978563508938
0.1883.59084339016321.16712459477041
0.1983.76595163669311.13826015776151
0.283.93423466211331.10483774033637
0.2184.09540983573921.0682877168694
0.2284.24935956750971.03010997321549
0.2384.39612066297180.991707611526293
0.2484.53586692798370.954275797705248
0.2584.66888685073420.918691778284486
0.2684.7955582627290.885765491739242
0.2784.9163217883520.855979542297718
0.2885.03165468793820.829497978992332
0.2985.14204642553550.806393578469899
0.385.24797698510950.786379777806493
0.3185.3498986462970.769148408188776
0.3285.44822163472260.754207959038643
0.3385.54330379782210.740986589330438
0.3485.63544423453320.728938343117398
0.3585.72488063039210.71753662593664
0.3685.8117899184710.706152187475589
0.3785.8962917980810.694416029895623
0.3885.97845459213680.681902793906549
0.3986.05830290449550.668257575594623
0.486.13582654430260.653360981836046
0.4186.21099020972850.637027511838341
0.4286.28374346353010.619244330056148
0.4386.35403058357840.600093663728002
0.4486.42179992954170.57966735261032
0.4586.48701252963270.55823096681865
0.4686.54964965639510.535978774128800
0.4786.60971922582860.513266046298876
0.4886.66726091770580.490529681135438
0.4986.72234997470380.468016968093021
0.586.77509969200850.446234538422528
0.5186.82566265552930.425567076833649
0.5286.8742308242510.406385303807808
0.5386.92103457943620.389184133934435
0.5486.96634087985290.374319370617314
0.5587.01045066805930.362127385416855
0.5687.0536956689080.352974990267767
0.5787.09643470933980.347027183302351
0.5887.1390496703810.344668710314072
0.5987.18194116054670.345893792755028
0.687.2255239773330.350807145690019
0.6187.27022240282370.359412883349892
0.6287.31646536295370.371630911779344
0.6387.36468146940460.387306642789998
0.6487.41529395932040.406198269712286
0.6587.46871555089580.4281265284866
0.6687.5253432411490.45275800622876
0.6787.58555308349610.479802502713582
0.6887.64969499379050.508892485160418
0.6987.71808764030030.539609380482902
0.787.79101347151360.571618241473653
0.7187.86871392189930.604365466637113
0.7287.95138480719070.637424442340091
0.7388.0391718767030.670357116774905
0.7488.132166432680.702624305224164
0.7588.23040086108330.733691134210701
0.7688.3338438537560.76315426913867
0.7788.44239505134140.790469841394578
0.7888.55587881573820.815146944561602
0.7988.674036868140.83672342077923
0.888.79651962188880.854674902654873
0.8188.9228762141230.868510275121959
0.8289.05254350678510.877696716529538
0.8389.18483468738540.881556086210944
0.8489.31892854173550.879537217989422
0.8589.45386096693280.870915686954757
0.8689.58852079520130.854966876939657
0.8789.72165243686620.83105472587917
0.8889.851868129190.798559394361275
0.8989.9776725821810.757039609210392
0.990.09750241759110.706277416206648
0.9190.20978188667920.646487335291651
0.9290.31299484805580.578303369963812
0.9390.4057708887910.50298497990627
0.9490.48698089912310.422474607688264
0.9590.55583463354530.339472671246735
0.9690.61197023256630.257452538361541
0.9790.65552387360950.180547415915339
0.9890.68716720977340.113344417856393
0.9990.70810145265960.0607322400647472


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')