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rwasp_harrell_davis.wasp

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Harrell-Davis Quantiles

Date of computation

Fri, 09 Oct 2015 08:50:48 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/09/t1444377140edqfvvh5sxorg7y.htm/, Retrieved Mon, 27 Apr 2026 13:58:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281717, Retrieved Mon, 27 Apr 2026 13:58:34 +0000

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282

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-       [Harrell-Davis Quantiles] [] [2015-10-09 07:50:48] [c1ddba2a8e5acbd364f51ad7d8f1d5c9] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281717&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281717&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281717&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.1	88.6207652891534	0.710488677547475
0.11	88.8588310257998	0.548809436728791
0.12	89.0393937012984	0.402736809030549
0.13	89.1743973256211	0.316637752476106
0.14	89.2848038784827	0.311993706900484
0.15	89.3922245069236	0.375610101174218
0.16	89.513205738332	0.474992045503067
0.17	89.6565134876548	0.580224600012718
0.18	89.8228314744337	0.666508801454819
0.19	90.0062329688749	0.716300265904367
0.2	90.1968528919648	0.72230554295149
0.21	90.3840875173189	0.688633692356411
0.22	90.5595216533399	0.62923101378506
0.23	90.7188543367906	0.563388363535649
0.24	90.862422813281	0.510874177062333
0.25	90.9943817531473	0.486380848382349
0.26	91.120986093798	0.494527070097644
0.27	91.2486183188945	0.528998030786679
0.28	91.3821698747882	0.577026288432125
0.29	91.5241899072962	0.625847905294728
0.3	91.6749409114781	0.666456336378446
0.31	91.8332308679243	0.696046483209938
0.32	91.9976848816414	0.71844868505995
0.33	92.1680154520656	0.743516631469607
0.34	92.3458675407194	0.784246655777176
0.35	92.5349459517299	0.85181453450655
0.36	92.7403443478164	0.950590673180402
0.37	92.9672313489607	1.07515232001142
0.38	93.2192444315039	1.2118486920854
0.39	93.4970404492625	1.34161178147742
0.4	93.7974220281233	1.44407375878622
0.41	94.1133078728194	1.50193870835394
0.42	94.4345852410304	1.50418385797892
0.43	94.7496431041885	1.44836158006473
0.44	95.0472075814323	1.34083421342704
0.45	95.3180393903994	1.19517183076495
0.46	95.5561198880053	1.02871052725319
0.47	95.7591187756519	0.859393766949767
0.48	95.9281435362793	0.702501760393558
0.49	96.0669518609774	0.568890384418926
0.5	96.1809137324053	0.46419982274388
0.51	96.2760200585517	0.389249052544581
0.52	96.3581619026785	0.34188873823016
0.53	96.4327820632701	0.318600269525299
0.54	96.5048697344617	0.316976225629392
0.55	96.5791646408282	0.336678287098257
0.56	96.6603826271017	0.378722672666159
0.57	96.7532795487732	0.443887721143311
0.58	96.8624309142253	0.530344254032353
0.59	96.9917060033809	0.632811601007492
0.6	97.1435318723493	0.74223388158039
0.61	97.3181422095804	0.846545692310762
0.62	97.5130551452077	0.932257545247423
0.63	97.722999158001	0.986892361213377
0.64	97.940404269342	1.00162833523483
0.65	98.1564208735331	0.973385125031719
0.66	98.3622680113333	0.905629505485142
0.67	98.5506016945545	0.807756010291206
0.68	98.7165736485565	0.692911409878811
0.69	98.8583319953043	0.575532475899655
0.7	98.9768720048017	0.468300311560388
0.71	99.0753250469149	0.380042512404197
0.72	99.157919889433	0.31448083655548
0.73	99.2289210092897	0.270062414431908
0.74	99.2918304750187	0.241034858585415
0.75	99.3490483682868	0.220463249810024
0.76	99.402054659086	0.203202459924963
0.77	99.4520387498186	0.188034376394159
0.78	99.500786906412	0.178306325174547
0.79	99.5515521951434	0.182086257907391
0.8	99.6095782733049	0.20950618966199
0.81	99.6819415745943	0.267127779006795
0.82	99.7764603078089	0.353319505799072
0.83	99.8996561479357	0.457940035919881
0.84	100.054165871883	0.562731878687328
0.85	100.236474351054	0.643929204236882
0.86	100.43610141997	0.678656800451718
0.87	100.637102141954	0.653487472775404
0.88	100.821835807259	0.570610791283884
0.89	100.97578427738	0.448406086371198
0.9	101.09150090083	0.314685997449794
0.91	101.170220632444	0.196321050528595
0.92	101.221305854245	0.111510886400793
0.93	101.261659541794	0.0738265994381235
0.94	101.317525936614	0.109395196868059
0.95	101.426630170621	0.228327058685198
0.96	101.62854385919	0.410979265470698
0.97	101.928396450597	0.554471406123762
0.98	102.253101513235	0.48889964857517
0.99	102.477518130179	0.207528891730192

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 88.6207652891534 & 0.710488677547475 \tabularnewline
0.11 & 88.8588310257998 & 0.548809436728791 \tabularnewline
0.12 & 89.0393937012984 & 0.402736809030549 \tabularnewline
0.13 & 89.1743973256211 & 0.316637752476106 \tabularnewline
0.14 & 89.2848038784827 & 0.311993706900484 \tabularnewline
0.15 & 89.3922245069236 & 0.375610101174218 \tabularnewline
0.16 & 89.513205738332 & 0.474992045503067 \tabularnewline
0.17 & 89.6565134876548 & 0.580224600012718 \tabularnewline
0.18 & 89.8228314744337 & 0.666508801454819 \tabularnewline
0.19 & 90.0062329688749 & 0.716300265904367 \tabularnewline
0.2 & 90.1968528919648 & 0.72230554295149 \tabularnewline
0.21 & 90.3840875173189 & 0.688633692356411 \tabularnewline
0.22 & 90.5595216533399 & 0.62923101378506 \tabularnewline
0.23 & 90.7188543367906 & 0.563388363535649 \tabularnewline
0.24 & 90.862422813281 & 0.510874177062333 \tabularnewline
0.25 & 90.9943817531473 & 0.486380848382349 \tabularnewline
0.26 & 91.120986093798 & 0.494527070097644 \tabularnewline
0.27 & 91.2486183188945 & 0.528998030786679 \tabularnewline
0.28 & 91.3821698747882 & 0.577026288432125 \tabularnewline
0.29 & 91.5241899072962 & 0.625847905294728 \tabularnewline
0.3 & 91.6749409114781 & 0.666456336378446 \tabularnewline
0.31 & 91.8332308679243 & 0.696046483209938 \tabularnewline
0.32 & 91.9976848816414 & 0.71844868505995 \tabularnewline
0.33 & 92.1680154520656 & 0.743516631469607 \tabularnewline
0.34 & 92.3458675407194 & 0.784246655777176 \tabularnewline
0.35 & 92.5349459517299 & 0.85181453450655 \tabularnewline
0.36 & 92.7403443478164 & 0.950590673180402 \tabularnewline
0.37 & 92.9672313489607 & 1.07515232001142 \tabularnewline
0.38 & 93.2192444315039 & 1.2118486920854 \tabularnewline
0.39 & 93.4970404492625 & 1.34161178147742 \tabularnewline
0.4 & 93.7974220281233 & 1.44407375878622 \tabularnewline
0.41 & 94.1133078728194 & 1.50193870835394 \tabularnewline
0.42 & 94.4345852410304 & 1.50418385797892 \tabularnewline
0.43 & 94.7496431041885 & 1.44836158006473 \tabularnewline
0.44 & 95.0472075814323 & 1.34083421342704 \tabularnewline
0.45 & 95.3180393903994 & 1.19517183076495 \tabularnewline
0.46 & 95.5561198880053 & 1.02871052725319 \tabularnewline
0.47 & 95.7591187756519 & 0.859393766949767 \tabularnewline
0.48 & 95.9281435362793 & 0.702501760393558 \tabularnewline
0.49 & 96.0669518609774 & 0.568890384418926 \tabularnewline
0.5 & 96.1809137324053 & 0.46419982274388 \tabularnewline
0.51 & 96.2760200585517 & 0.389249052544581 \tabularnewline
0.52 & 96.3581619026785 & 0.34188873823016 \tabularnewline
0.53 & 96.4327820632701 & 0.318600269525299 \tabularnewline
0.54 & 96.5048697344617 & 0.316976225629392 \tabularnewline
0.55 & 96.5791646408282 & 0.336678287098257 \tabularnewline
0.56 & 96.6603826271017 & 0.378722672666159 \tabularnewline
0.57 & 96.7532795487732 & 0.443887721143311 \tabularnewline
0.58 & 96.8624309142253 & 0.530344254032353 \tabularnewline
0.59 & 96.9917060033809 & 0.632811601007492 \tabularnewline
0.6 & 97.1435318723493 & 0.74223388158039 \tabularnewline
0.61 & 97.3181422095804 & 0.846545692310762 \tabularnewline
0.62 & 97.5130551452077 & 0.932257545247423 \tabularnewline
0.63 & 97.722999158001 & 0.986892361213377 \tabularnewline
0.64 & 97.940404269342 & 1.00162833523483 \tabularnewline
0.65 & 98.1564208735331 & 0.973385125031719 \tabularnewline
0.66 & 98.3622680113333 & 0.905629505485142 \tabularnewline
0.67 & 98.5506016945545 & 0.807756010291206 \tabularnewline
0.68 & 98.7165736485565 & 0.692911409878811 \tabularnewline
0.69 & 98.8583319953043 & 0.575532475899655 \tabularnewline
0.7 & 98.9768720048017 & 0.468300311560388 \tabularnewline
0.71 & 99.0753250469149 & 0.380042512404197 \tabularnewline
0.72 & 99.157919889433 & 0.31448083655548 \tabularnewline
0.73 & 99.2289210092897 & 0.270062414431908 \tabularnewline
0.74 & 99.2918304750187 & 0.241034858585415 \tabularnewline
0.75 & 99.3490483682868 & 0.220463249810024 \tabularnewline
0.76 & 99.402054659086 & 0.203202459924963 \tabularnewline
0.77 & 99.4520387498186 & 0.188034376394159 \tabularnewline
0.78 & 99.500786906412 & 0.178306325174547 \tabularnewline
0.79 & 99.5515521951434 & 0.182086257907391 \tabularnewline
0.8 & 99.6095782733049 & 0.20950618966199 \tabularnewline
0.81 & 99.6819415745943 & 0.267127779006795 \tabularnewline
0.82 & 99.7764603078089 & 0.353319505799072 \tabularnewline
0.83 & 99.8996561479357 & 0.457940035919881 \tabularnewline
0.84 & 100.054165871883 & 0.562731878687328 \tabularnewline
0.85 & 100.236474351054 & 0.643929204236882 \tabularnewline
0.86 & 100.43610141997 & 0.678656800451718 \tabularnewline
0.87 & 100.637102141954 & 0.653487472775404 \tabularnewline
0.88 & 100.821835807259 & 0.570610791283884 \tabularnewline
0.89 & 100.97578427738 & 0.448406086371198 \tabularnewline
0.9 & 101.09150090083 & 0.314685997449794 \tabularnewline
0.91 & 101.170220632444 & 0.196321050528595 \tabularnewline
0.92 & 101.221305854245 & 0.111510886400793 \tabularnewline
0.93 & 101.261659541794 & 0.0738265994381235 \tabularnewline
0.94 & 101.317525936614 & 0.109395196868059 \tabularnewline
0.95 & 101.426630170621 & 0.228327058685198 \tabularnewline
0.96 & 101.62854385919 & 0.410979265470698 \tabularnewline
0.97 & 101.928396450597 & 0.554471406123762 \tabularnewline
0.98 & 102.253101513235 & 0.48889964857517 \tabularnewline
0.99 & 102.477518130179 & 0.207528891730192 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281717&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]88.6207652891534[/C][C]0.710488677547475[/C][/ROW]
[ROW][C]0.11[/C][C]88.8588310257998[/C][C]0.548809436728791[/C][/ROW]
[ROW][C]0.12[/C][C]89.0393937012984[/C][C]0.402736809030549[/C][/ROW]
[ROW][C]0.13[/C][C]89.1743973256211[/C][C]0.316637752476106[/C][/ROW]
[ROW][C]0.14[/C][C]89.2848038784827[/C][C]0.311993706900484[/C][/ROW]
[ROW][C]0.15[/C][C]89.3922245069236[/C][C]0.375610101174218[/C][/ROW]
[ROW][C]0.16[/C][C]89.513205738332[/C][C]0.474992045503067[/C][/ROW]
[ROW][C]0.17[/C][C]89.6565134876548[/C][C]0.580224600012718[/C][/ROW]
[ROW][C]0.18[/C][C]89.8228314744337[/C][C]0.666508801454819[/C][/ROW]
[ROW][C]0.19[/C][C]90.0062329688749[/C][C]0.716300265904367[/C][/ROW]
[ROW][C]0.2[/C][C]90.1968528919648[/C][C]0.72230554295149[/C][/ROW]
[ROW][C]0.21[/C][C]90.3840875173189[/C][C]0.688633692356411[/C][/ROW]
[ROW][C]0.22[/C][C]90.5595216533399[/C][C]0.62923101378506[/C][/ROW]
[ROW][C]0.23[/C][C]90.7188543367906[/C][C]0.563388363535649[/C][/ROW]
[ROW][C]0.24[/C][C]90.862422813281[/C][C]0.510874177062333[/C][/ROW]
[ROW][C]0.25[/C][C]90.9943817531473[/C][C]0.486380848382349[/C][/ROW]
[ROW][C]0.26[/C][C]91.120986093798[/C][C]0.494527070097644[/C][/ROW]
[ROW][C]0.27[/C][C]91.2486183188945[/C][C]0.528998030786679[/C][/ROW]
[ROW][C]0.28[/C][C]91.3821698747882[/C][C]0.577026288432125[/C][/ROW]
[ROW][C]0.29[/C][C]91.5241899072962[/C][C]0.625847905294728[/C][/ROW]
[ROW][C]0.3[/C][C]91.6749409114781[/C][C]0.666456336378446[/C][/ROW]
[ROW][C]0.31[/C][C]91.8332308679243[/C][C]0.696046483209938[/C][/ROW]
[ROW][C]0.32[/C][C]91.9976848816414[/C][C]0.71844868505995[/C][/ROW]
[ROW][C]0.33[/C][C]92.1680154520656[/C][C]0.743516631469607[/C][/ROW]
[ROW][C]0.34[/C][C]92.3458675407194[/C][C]0.784246655777176[/C][/ROW]
[ROW][C]0.35[/C][C]92.5349459517299[/C][C]0.85181453450655[/C][/ROW]
[ROW][C]0.36[/C][C]92.7403443478164[/C][C]0.950590673180402[/C][/ROW]
[ROW][C]0.37[/C][C]92.9672313489607[/C][C]1.07515232001142[/C][/ROW]
[ROW][C]0.38[/C][C]93.2192444315039[/C][C]1.2118486920854[/C][/ROW]
[ROW][C]0.39[/C][C]93.4970404492625[/C][C]1.34161178147742[/C][/ROW]
[ROW][C]0.4[/C][C]93.7974220281233[/C][C]1.44407375878622[/C][/ROW]
[ROW][C]0.41[/C][C]94.1133078728194[/C][C]1.50193870835394[/C][/ROW]
[ROW][C]0.42[/C][C]94.4345852410304[/C][C]1.50418385797892[/C][/ROW]
[ROW][C]0.43[/C][C]94.7496431041885[/C][C]1.44836158006473[/C][/ROW]
[ROW][C]0.44[/C][C]95.0472075814323[/C][C]1.34083421342704[/C][/ROW]
[ROW][C]0.45[/C][C]95.3180393903994[/C][C]1.19517183076495[/C][/ROW]
[ROW][C]0.46[/C][C]95.5561198880053[/C][C]1.02871052725319[/C][/ROW]
[ROW][C]0.47[/C][C]95.7591187756519[/C][C]0.859393766949767[/C][/ROW]
[ROW][C]0.48[/C][C]95.9281435362793[/C][C]0.702501760393558[/C][/ROW]
[ROW][C]0.49[/C][C]96.0669518609774[/C][C]0.568890384418926[/C][/ROW]
[ROW][C]0.5[/C][C]96.1809137324053[/C][C]0.46419982274388[/C][/ROW]
[ROW][C]0.51[/C][C]96.2760200585517[/C][C]0.389249052544581[/C][/ROW]
[ROW][C]0.52[/C][C]96.3581619026785[/C][C]0.34188873823016[/C][/ROW]
[ROW][C]0.53[/C][C]96.4327820632701[/C][C]0.318600269525299[/C][/ROW]
[ROW][C]0.54[/C][C]96.5048697344617[/C][C]0.316976225629392[/C][/ROW]
[ROW][C]0.55[/C][C]96.5791646408282[/C][C]0.336678287098257[/C][/ROW]
[ROW][C]0.56[/C][C]96.6603826271017[/C][C]0.378722672666159[/C][/ROW]
[ROW][C]0.57[/C][C]96.7532795487732[/C][C]0.443887721143311[/C][/ROW]
[ROW][C]0.58[/C][C]96.8624309142253[/C][C]0.530344254032353[/C][/ROW]
[ROW][C]0.59[/C][C]96.9917060033809[/C][C]0.632811601007492[/C][/ROW]
[ROW][C]0.6[/C][C]97.1435318723493[/C][C]0.74223388158039[/C][/ROW]
[ROW][C]0.61[/C][C]97.3181422095804[/C][C]0.846545692310762[/C][/ROW]
[ROW][C]0.62[/C][C]97.5130551452077[/C][C]0.932257545247423[/C][/ROW]
[ROW][C]0.63[/C][C]97.722999158001[/C][C]0.986892361213377[/C][/ROW]
[ROW][C]0.64[/C][C]97.940404269342[/C][C]1.00162833523483[/C][/ROW]
[ROW][C]0.65[/C][C]98.1564208735331[/C][C]0.973385125031719[/C][/ROW]
[ROW][C]0.66[/C][C]98.3622680113333[/C][C]0.905629505485142[/C][/ROW]
[ROW][C]0.67[/C][C]98.5506016945545[/C][C]0.807756010291206[/C][/ROW]
[ROW][C]0.68[/C][C]98.7165736485565[/C][C]0.692911409878811[/C][/ROW]
[ROW][C]0.69[/C][C]98.8583319953043[/C][C]0.575532475899655[/C][/ROW]
[ROW][C]0.7[/C][C]98.9768720048017[/C][C]0.468300311560388[/C][/ROW]
[ROW][C]0.71[/C][C]99.0753250469149[/C][C]0.380042512404197[/C][/ROW]
[ROW][C]0.72[/C][C]99.157919889433[/C][C]0.31448083655548[/C][/ROW]
[ROW][C]0.73[/C][C]99.2289210092897[/C][C]0.270062414431908[/C][/ROW]
[ROW][C]0.74[/C][C]99.2918304750187[/C][C]0.241034858585415[/C][/ROW]
[ROW][C]0.75[/C][C]99.3490483682868[/C][C]0.220463249810024[/C][/ROW]
[ROW][C]0.76[/C][C]99.402054659086[/C][C]0.203202459924963[/C][/ROW]
[ROW][C]0.77[/C][C]99.4520387498186[/C][C]0.188034376394159[/C][/ROW]
[ROW][C]0.78[/C][C]99.500786906412[/C][C]0.178306325174547[/C][/ROW]
[ROW][C]0.79[/C][C]99.5515521951434[/C][C]0.182086257907391[/C][/ROW]
[ROW][C]0.8[/C][C]99.6095782733049[/C][C]0.20950618966199[/C][/ROW]
[ROW][C]0.81[/C][C]99.6819415745943[/C][C]0.267127779006795[/C][/ROW]
[ROW][C]0.82[/C][C]99.7764603078089[/C][C]0.353319505799072[/C][/ROW]
[ROW][C]0.83[/C][C]99.8996561479357[/C][C]0.457940035919881[/C][/ROW]
[ROW][C]0.84[/C][C]100.054165871883[/C][C]0.562731878687328[/C][/ROW]
[ROW][C]0.85[/C][C]100.236474351054[/C][C]0.643929204236882[/C][/ROW]
[ROW][C]0.86[/C][C]100.43610141997[/C][C]0.678656800451718[/C][/ROW]
[ROW][C]0.87[/C][C]100.637102141954[/C][C]0.653487472775404[/C][/ROW]
[ROW][C]0.88[/C][C]100.821835807259[/C][C]0.570610791283884[/C][/ROW]
[ROW][C]0.89[/C][C]100.97578427738[/C][C]0.448406086371198[/C][/ROW]
[ROW][C]0.9[/C][C]101.09150090083[/C][C]0.314685997449794[/C][/ROW]
[ROW][C]0.91[/C][C]101.170220632444[/C][C]0.196321050528595[/C][/ROW]
[ROW][C]0.92[/C][C]101.221305854245[/C][C]0.111510886400793[/C][/ROW]
[ROW][C]0.93[/C][C]101.261659541794[/C][C]0.0738265994381235[/C][/ROW]
[ROW][C]0.94[/C][C]101.317525936614[/C][C]0.109395196868059[/C][/ROW]
[ROW][C]0.95[/C][C]101.426630170621[/C][C]0.228327058685198[/C][/ROW]
[ROW][C]0.96[/C][C]101.62854385919[/C][C]0.410979265470698[/C][/ROW]
[ROW][C]0.97[/C][C]101.928396450597[/C][C]0.554471406123762[/C][/ROW]
[ROW][C]0.98[/C][C]102.253101513235[/C][C]0.48889964857517[/C][/ROW]
[ROW][C]0.99[/C][C]102.477518130179[/C][C]0.207528891730192[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281717&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281717&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantiles	value	standard error
0.1	88.6207652891534	0.710488677547475
0.11	88.8588310257998	0.548809436728791
0.12	89.0393937012984	0.402736809030549
0.13	89.1743973256211	0.316637752476106
0.14	89.2848038784827	0.311993706900484
0.15	89.3922245069236	0.375610101174218
0.16	89.513205738332	0.474992045503067
0.17	89.6565134876548	0.580224600012718
0.18	89.8228314744337	0.666508801454819
0.19	90.0062329688749	0.716300265904367
0.2	90.1968528919648	0.72230554295149
0.21	90.3840875173189	0.688633692356411
0.22	90.5595216533399	0.62923101378506
0.23	90.7188543367906	0.563388363535649
0.24	90.862422813281	0.510874177062333
0.25	90.9943817531473	0.486380848382349
0.26	91.120986093798	0.494527070097644
0.27	91.2486183188945	0.528998030786679
0.28	91.3821698747882	0.577026288432125
0.29	91.5241899072962	0.625847905294728
0.3	91.6749409114781	0.666456336378446
0.31	91.8332308679243	0.696046483209938
0.32	91.9976848816414	0.71844868505995
0.33	92.1680154520656	0.743516631469607
0.34	92.3458675407194	0.784246655777176
0.35	92.5349459517299	0.85181453450655
0.36	92.7403443478164	0.950590673180402
0.37	92.9672313489607	1.07515232001142
0.38	93.2192444315039	1.2118486920854
0.39	93.4970404492625	1.34161178147742
0.4	93.7974220281233	1.44407375878622
0.41	94.1133078728194	1.50193870835394
0.42	94.4345852410304	1.50418385797892
0.43	94.7496431041885	1.44836158006473
0.44	95.0472075814323	1.34083421342704
0.45	95.3180393903994	1.19517183076495
0.46	95.5561198880053	1.02871052725319
0.47	95.7591187756519	0.859393766949767
0.48	95.9281435362793	0.702501760393558
0.49	96.0669518609774	0.568890384418926
0.5	96.1809137324053	0.46419982274388
0.51	96.2760200585517	0.389249052544581
0.52	96.3581619026785	0.34188873823016
0.53	96.4327820632701	0.318600269525299
0.54	96.5048697344617	0.316976225629392
0.55	96.5791646408282	0.336678287098257
0.56	96.6603826271017	0.378722672666159
0.57	96.7532795487732	0.443887721143311
0.58	96.8624309142253	0.530344254032353
0.59	96.9917060033809	0.632811601007492
0.6	97.1435318723493	0.74223388158039
0.61	97.3181422095804	0.846545692310762
0.62	97.5130551452077	0.932257545247423
0.63	97.722999158001	0.986892361213377
0.64	97.940404269342	1.00162833523483
0.65	98.1564208735331	0.973385125031719
0.66	98.3622680113333	0.905629505485142
0.67	98.5506016945545	0.807756010291206
0.68	98.7165736485565	0.692911409878811
0.69	98.8583319953043	0.575532475899655
0.7	98.9768720048017	0.468300311560388
0.71	99.0753250469149	0.380042512404197
0.72	99.157919889433	0.31448083655548
0.73	99.2289210092897	0.270062414431908
0.74	99.2918304750187	0.241034858585415
0.75	99.3490483682868	0.220463249810024
0.76	99.402054659086	0.203202459924963
0.77	99.4520387498186	0.188034376394159
0.78	99.500786906412	0.178306325174547
0.79	99.5515521951434	0.182086257907391
0.8	99.6095782733049	0.20950618966199
0.81	99.6819415745943	0.267127779006795
0.82	99.7764603078089	0.353319505799072
0.83	99.8996561479357	0.457940035919881
0.84	100.054165871883	0.562731878687328
0.85	100.236474351054	0.643929204236882
0.86	100.43610141997	0.678656800451718
0.87	100.637102141954	0.653487472775404
0.88	100.821835807259	0.570610791283884
0.89	100.97578427738	0.448406086371198
0.9	101.09150090083	0.314685997449794
0.91	101.170220632444	0.196321050528595
0.92	101.221305854245	0.111510886400793
0.93	101.261659541794	0.0738265994381235
0.94	101.317525936614	0.109395196868059
0.95	101.426630170621	0.228327058685198
0.96	101.62854385919	0.410979265470698
0.97	101.928396450597	0.554471406123762
0.98	102.253101513235	0.48889964857517
0.99	102.477518130179	0.207528891730192

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;

Parameters (R input):

par1 = 0.1 ; 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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code