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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 computationTue, 08 Jan 2013 08:13:16 -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/2013/Jan/08/t1357650856gs1rn7dplhhku3k.htm/, Retrieved Fri, 17 Apr 2026 12:32:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205059, Retrieved Fri, 17 Apr 2026 12:32:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact378

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] [] [2012-11-23 06:22:33] [f2f209515870ec1330552b2b3785617f]
- R  D    [Harrell-Davis Quantiles] [] [2013-01-08 13:13:16] [fd38808b420d32739e394c14d51f62a5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20.7
20.4
20.3
20.4
19.8
19.5
23.1
23.5
23.5
22.9
21.9
21.5
20.5
20.2
19.4
19.2
18.8
18.8
22.6
23.3
23
21.4
19.9
18.8
18.6
18.4
18.6
19.9
19.2
18.4
21.1
20.5
19.1
18.1
17
17.1
17.4
16.8
15.3
14.3
13.4
15.3
22.1
23.7
22.2
19.5
16.6
17.3
19.8
21.2
21.5
20.6
19.1
19.6
23.4
24.3
24.1
22.8
22.5
23.8
24.9
25.2
24.3
22.8
20.7
19.8
22.5
22.6
22.5
21.8
21.2
20.6
19.9
18.7
17.6
16.4
15.9
16.8
22.8
24
22.2
17.9
16
16

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205059&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205059&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113.77938131225340.858727703899172
0.0214.33173650408320.793679432141714
0.0314.84311158475550.680341290683148
0.0415.24361334418250.569004899262393
0.0515.54770191111570.497613920843118
0.0615.78783002040860.460739465622886
0.0715.98945428912530.444327636732072
0.0816.16809054284280.439194279011044
0.0916.33224648962630.438424916401727
0.116.48640624694110.437960437576691
0.1116.63311099875950.438117176960893
0.1216.77429180167480.441991469831433
0.1316.91193593261410.452568510948659
0.1417.04814920532720.470597956993698
0.1517.18482157821570.494034119236958
0.1617.32318908351930.518984140850092
0.1717.4635295762730.540922033453314
0.1817.60510132071780.555786880790999
0.1917.74631760133330.560739141812915
0.217.88508357499090.554586941003195
0.2118.01919912342650.537880548233519
0.2218.14673726251580.512689643067141
0.2318.26632924418950.482084286601144
0.2418.37731737226070.449585569340592
0.2518.47976869518510.418551140595707
0.2618.57437085846660.391624372499733
0.2718.662250117340.370436443615092
0.2818.74475820219540.355579565755635
0.2918.82327026784290.346600734350808
0.318.89902412789310.342400503923835
0.3118.97301603141750.34154932043318
0.3219.04595451024760.342549224976771
0.3319.11826393744940.344148658879183
0.3419.19012426180530.345353627008899
0.3519.26153234184480.345611319459193
0.3619.33237197367570.344598044314703
0.3719.40248249240590.34235487972856
0.3819.47171850939750.339154075088655
0.3919.53999539701820.335508668638311
0.419.60731670850980.331971949647887
0.4119.67378139574530.329094558113973
0.4219.73957101750590.327394429277195
0.4319.80492025305120.327100148091199
0.4419.87007747276160.328158610293093
0.4519.93526487748380.330236869171325
0.4620.00064866266080.33282087705276
0.4720.0663279997720.335411918223146
0.4820.13234732130840.337631270011179
0.4920.19873032270260.339409753295124
0.520.2655278547740.341053173814785
0.5120.3328673176130.343193473663948
0.5220.40098976550750.346757421614674
0.5320.47026329883510.352561636070703
0.5420.54116693594350.361279163726986
0.5520.61424650245430.373202238835009
0.5620.69005106330090.387980372992609
0.5720.7690630460740.404961608601221
0.5820.85163615681750.423138821182349
0.5920.93795228459310.441330528724995
0.621.02800283158610.458481930310304
0.6121.12159317123910.473663285445787
0.6221.2183633779760.4862560410411
0.6321.31781569748260.495751603248837
0.6421.41934012935720.501803113231322
0.6521.52223342084510.504139009014569
0.6621.62571212792110.502428400985855
0.6721.72892513170270.496396360071775
0.6821.83097332292870.485838759839401
0.6921.93094320840770.470747979110181
0.722.02795727294940.451359672540301
0.7122.12123843224610.428308962861389
0.7222.21018077260260.402541290259968
0.7322.29441577422360.375387337024393
0.7422.37386331095340.348277124200391
0.7522.44875963095330.322730557548837
0.7622.51965878194680.300263023328333
0.7722.58740749333310.282040161085179
0.7822.65309477277940.2690020023451
0.7922.71797642635360.261658354584894
0.822.7833735541950.260040961470619
0.8122.85054649964670.263506868183027
0.8222.92055476884410.270757876045836
0.8322.99412844684080.279867753504505
0.8423.0715911461620.288644566505411
0.8523.15287714500420.295150033711542
0.8623.2376651206260.298218552428435
0.8723.32560577440980.297991127742483
0.8823.4165650846730.295744131203666
0.8923.51076974373610.293356228515187
0.923.60876353975630.292122922987967
0.9123.71119081284050.291734930452261
0.9223.81862133072470.290279649277308
0.9323.93187664325980.285801104447994
0.9424.05341775755220.279545638874537
0.9524.18979494405070.28063013976454
0.9624.35325149836610.306020185616406
0.9724.55757961406560.357353623597158
0.9824.80221797587180.389696817256354
0.9925.04604111992820.35230583079677

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13.7793813122534 & 0.858727703899172 \tabularnewline
0.02 & 14.3317365040832 & 0.793679432141714 \tabularnewline
0.03 & 14.8431115847555 & 0.680341290683148 \tabularnewline
0.04 & 15.2436133441825 & 0.569004899262393 \tabularnewline
0.05 & 15.5477019111157 & 0.497613920843118 \tabularnewline
0.06 & 15.7878300204086 & 0.460739465622886 \tabularnewline
0.07 & 15.9894542891253 & 0.444327636732072 \tabularnewline
0.08 & 16.1680905428428 & 0.439194279011044 \tabularnewline
0.09 & 16.3322464896263 & 0.438424916401727 \tabularnewline
0.1 & 16.4864062469411 & 0.437960437576691 \tabularnewline
0.11 & 16.6331109987595 & 0.438117176960893 \tabularnewline
0.12 & 16.7742918016748 & 0.441991469831433 \tabularnewline
0.13 & 16.9119359326141 & 0.452568510948659 \tabularnewline
0.14 & 17.0481492053272 & 0.470597956993698 \tabularnewline
0.15 & 17.1848215782157 & 0.494034119236958 \tabularnewline
0.16 & 17.3231890835193 & 0.518984140850092 \tabularnewline
0.17 & 17.463529576273 & 0.540922033453314 \tabularnewline
0.18 & 17.6051013207178 & 0.555786880790999 \tabularnewline
0.19 & 17.7463176013333 & 0.560739141812915 \tabularnewline
0.2 & 17.8850835749909 & 0.554586941003195 \tabularnewline
0.21 & 18.0191991234265 & 0.537880548233519 \tabularnewline
0.22 & 18.1467372625158 & 0.512689643067141 \tabularnewline
0.23 & 18.2663292441895 & 0.482084286601144 \tabularnewline
0.24 & 18.3773173722607 & 0.449585569340592 \tabularnewline
0.25 & 18.4797686951851 & 0.418551140595707 \tabularnewline
0.26 & 18.5743708584666 & 0.391624372499733 \tabularnewline
0.27 & 18.66225011734 & 0.370436443615092 \tabularnewline
0.28 & 18.7447582021954 & 0.355579565755635 \tabularnewline
0.29 & 18.8232702678429 & 0.346600734350808 \tabularnewline
0.3 & 18.8990241278931 & 0.342400503923835 \tabularnewline
0.31 & 18.9730160314175 & 0.34154932043318 \tabularnewline
0.32 & 19.0459545102476 & 0.342549224976771 \tabularnewline
0.33 & 19.1182639374494 & 0.344148658879183 \tabularnewline
0.34 & 19.1901242618053 & 0.345353627008899 \tabularnewline
0.35 & 19.2615323418448 & 0.345611319459193 \tabularnewline
0.36 & 19.3323719736757 & 0.344598044314703 \tabularnewline
0.37 & 19.4024824924059 & 0.34235487972856 \tabularnewline
0.38 & 19.4717185093975 & 0.339154075088655 \tabularnewline
0.39 & 19.5399953970182 & 0.335508668638311 \tabularnewline
0.4 & 19.6073167085098 & 0.331971949647887 \tabularnewline
0.41 & 19.6737813957453 & 0.329094558113973 \tabularnewline
0.42 & 19.7395710175059 & 0.327394429277195 \tabularnewline
0.43 & 19.8049202530512 & 0.327100148091199 \tabularnewline
0.44 & 19.8700774727616 & 0.328158610293093 \tabularnewline
0.45 & 19.9352648774838 & 0.330236869171325 \tabularnewline
0.46 & 20.0006486626608 & 0.33282087705276 \tabularnewline
0.47 & 20.066327999772 & 0.335411918223146 \tabularnewline
0.48 & 20.1323473213084 & 0.337631270011179 \tabularnewline
0.49 & 20.1987303227026 & 0.339409753295124 \tabularnewline
0.5 & 20.265527854774 & 0.341053173814785 \tabularnewline
0.51 & 20.332867317613 & 0.343193473663948 \tabularnewline
0.52 & 20.4009897655075 & 0.346757421614674 \tabularnewline
0.53 & 20.4702632988351 & 0.352561636070703 \tabularnewline
0.54 & 20.5411669359435 & 0.361279163726986 \tabularnewline
0.55 & 20.6142465024543 & 0.373202238835009 \tabularnewline
0.56 & 20.6900510633009 & 0.387980372992609 \tabularnewline
0.57 & 20.769063046074 & 0.404961608601221 \tabularnewline
0.58 & 20.8516361568175 & 0.423138821182349 \tabularnewline
0.59 & 20.9379522845931 & 0.441330528724995 \tabularnewline
0.6 & 21.0280028315861 & 0.458481930310304 \tabularnewline
0.61 & 21.1215931712391 & 0.473663285445787 \tabularnewline
0.62 & 21.218363377976 & 0.4862560410411 \tabularnewline
0.63 & 21.3178156974826 & 0.495751603248837 \tabularnewline
0.64 & 21.4193401293572 & 0.501803113231322 \tabularnewline
0.65 & 21.5222334208451 & 0.504139009014569 \tabularnewline
0.66 & 21.6257121279211 & 0.502428400985855 \tabularnewline
0.67 & 21.7289251317027 & 0.496396360071775 \tabularnewline
0.68 & 21.8309733229287 & 0.485838759839401 \tabularnewline
0.69 & 21.9309432084077 & 0.470747979110181 \tabularnewline
0.7 & 22.0279572729494 & 0.451359672540301 \tabularnewline
0.71 & 22.1212384322461 & 0.428308962861389 \tabularnewline
0.72 & 22.2101807726026 & 0.402541290259968 \tabularnewline
0.73 & 22.2944157742236 & 0.375387337024393 \tabularnewline
0.74 & 22.3738633109534 & 0.348277124200391 \tabularnewline
0.75 & 22.4487596309533 & 0.322730557548837 \tabularnewline
0.76 & 22.5196587819468 & 0.300263023328333 \tabularnewline
0.77 & 22.5874074933331 & 0.282040161085179 \tabularnewline
0.78 & 22.6530947727794 & 0.2690020023451 \tabularnewline
0.79 & 22.7179764263536 & 0.261658354584894 \tabularnewline
0.8 & 22.783373554195 & 0.260040961470619 \tabularnewline
0.81 & 22.8505464996467 & 0.263506868183027 \tabularnewline
0.82 & 22.9205547688441 & 0.270757876045836 \tabularnewline
0.83 & 22.9941284468408 & 0.279867753504505 \tabularnewline
0.84 & 23.071591146162 & 0.288644566505411 \tabularnewline
0.85 & 23.1528771450042 & 0.295150033711542 \tabularnewline
0.86 & 23.237665120626 & 0.298218552428435 \tabularnewline
0.87 & 23.3256057744098 & 0.297991127742483 \tabularnewline
0.88 & 23.416565084673 & 0.295744131203666 \tabularnewline
0.89 & 23.5107697437361 & 0.293356228515187 \tabularnewline
0.9 & 23.6087635397563 & 0.292122922987967 \tabularnewline
0.91 & 23.7111908128405 & 0.291734930452261 \tabularnewline
0.92 & 23.8186213307247 & 0.290279649277308 \tabularnewline
0.93 & 23.9318766432598 & 0.285801104447994 \tabularnewline
0.94 & 24.0534177575522 & 0.279545638874537 \tabularnewline
0.95 & 24.1897949440507 & 0.28063013976454 \tabularnewline
0.96 & 24.3532514983661 & 0.306020185616406 \tabularnewline
0.97 & 24.5575796140656 & 0.357353623597158 \tabularnewline
0.98 & 24.8022179758718 & 0.389696817256354 \tabularnewline
0.99 & 25.0460411199282 & 0.35230583079677 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205059&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]13.7793813122534[/C][C]0.858727703899172[/C][/ROW]
[ROW][C]0.02[/C][C]14.3317365040832[/C][C]0.793679432141714[/C][/ROW]
[ROW][C]0.03[/C][C]14.8431115847555[/C][C]0.680341290683148[/C][/ROW]
[ROW][C]0.04[/C][C]15.2436133441825[/C][C]0.569004899262393[/C][/ROW]
[ROW][C]0.05[/C][C]15.5477019111157[/C][C]0.497613920843118[/C][/ROW]
[ROW][C]0.06[/C][C]15.7878300204086[/C][C]0.460739465622886[/C][/ROW]
[ROW][C]0.07[/C][C]15.9894542891253[/C][C]0.444327636732072[/C][/ROW]
[ROW][C]0.08[/C][C]16.1680905428428[/C][C]0.439194279011044[/C][/ROW]
[ROW][C]0.09[/C][C]16.3322464896263[/C][C]0.438424916401727[/C][/ROW]
[ROW][C]0.1[/C][C]16.4864062469411[/C][C]0.437960437576691[/C][/ROW]
[ROW][C]0.11[/C][C]16.6331109987595[/C][C]0.438117176960893[/C][/ROW]
[ROW][C]0.12[/C][C]16.7742918016748[/C][C]0.441991469831433[/C][/ROW]
[ROW][C]0.13[/C][C]16.9119359326141[/C][C]0.452568510948659[/C][/ROW]
[ROW][C]0.14[/C][C]17.0481492053272[/C][C]0.470597956993698[/C][/ROW]
[ROW][C]0.15[/C][C]17.1848215782157[/C][C]0.494034119236958[/C][/ROW]
[ROW][C]0.16[/C][C]17.3231890835193[/C][C]0.518984140850092[/C][/ROW]
[ROW][C]0.17[/C][C]17.463529576273[/C][C]0.540922033453314[/C][/ROW]
[ROW][C]0.18[/C][C]17.6051013207178[/C][C]0.555786880790999[/C][/ROW]
[ROW][C]0.19[/C][C]17.7463176013333[/C][C]0.560739141812915[/C][/ROW]
[ROW][C]0.2[/C][C]17.8850835749909[/C][C]0.554586941003195[/C][/ROW]
[ROW][C]0.21[/C][C]18.0191991234265[/C][C]0.537880548233519[/C][/ROW]
[ROW][C]0.22[/C][C]18.1467372625158[/C][C]0.512689643067141[/C][/ROW]
[ROW][C]0.23[/C][C]18.2663292441895[/C][C]0.482084286601144[/C][/ROW]
[ROW][C]0.24[/C][C]18.3773173722607[/C][C]0.449585569340592[/C][/ROW]
[ROW][C]0.25[/C][C]18.4797686951851[/C][C]0.418551140595707[/C][/ROW]
[ROW][C]0.26[/C][C]18.5743708584666[/C][C]0.391624372499733[/C][/ROW]
[ROW][C]0.27[/C][C]18.66225011734[/C][C]0.370436443615092[/C][/ROW]
[ROW][C]0.28[/C][C]18.7447582021954[/C][C]0.355579565755635[/C][/ROW]
[ROW][C]0.29[/C][C]18.8232702678429[/C][C]0.346600734350808[/C][/ROW]
[ROW][C]0.3[/C][C]18.8990241278931[/C][C]0.342400503923835[/C][/ROW]
[ROW][C]0.31[/C][C]18.9730160314175[/C][C]0.34154932043318[/C][/ROW]
[ROW][C]0.32[/C][C]19.0459545102476[/C][C]0.342549224976771[/C][/ROW]
[ROW][C]0.33[/C][C]19.1182639374494[/C][C]0.344148658879183[/C][/ROW]
[ROW][C]0.34[/C][C]19.1901242618053[/C][C]0.345353627008899[/C][/ROW]
[ROW][C]0.35[/C][C]19.2615323418448[/C][C]0.345611319459193[/C][/ROW]
[ROW][C]0.36[/C][C]19.3323719736757[/C][C]0.344598044314703[/C][/ROW]
[ROW][C]0.37[/C][C]19.4024824924059[/C][C]0.34235487972856[/C][/ROW]
[ROW][C]0.38[/C][C]19.4717185093975[/C][C]0.339154075088655[/C][/ROW]
[ROW][C]0.39[/C][C]19.5399953970182[/C][C]0.335508668638311[/C][/ROW]
[ROW][C]0.4[/C][C]19.6073167085098[/C][C]0.331971949647887[/C][/ROW]
[ROW][C]0.41[/C][C]19.6737813957453[/C][C]0.329094558113973[/C][/ROW]
[ROW][C]0.42[/C][C]19.7395710175059[/C][C]0.327394429277195[/C][/ROW]
[ROW][C]0.43[/C][C]19.8049202530512[/C][C]0.327100148091199[/C][/ROW]
[ROW][C]0.44[/C][C]19.8700774727616[/C][C]0.328158610293093[/C][/ROW]
[ROW][C]0.45[/C][C]19.9352648774838[/C][C]0.330236869171325[/C][/ROW]
[ROW][C]0.46[/C][C]20.0006486626608[/C][C]0.33282087705276[/C][/ROW]
[ROW][C]0.47[/C][C]20.066327999772[/C][C]0.335411918223146[/C][/ROW]
[ROW][C]0.48[/C][C]20.1323473213084[/C][C]0.337631270011179[/C][/ROW]
[ROW][C]0.49[/C][C]20.1987303227026[/C][C]0.339409753295124[/C][/ROW]
[ROW][C]0.5[/C][C]20.265527854774[/C][C]0.341053173814785[/C][/ROW]
[ROW][C]0.51[/C][C]20.332867317613[/C][C]0.343193473663948[/C][/ROW]
[ROW][C]0.52[/C][C]20.4009897655075[/C][C]0.346757421614674[/C][/ROW]
[ROW][C]0.53[/C][C]20.4702632988351[/C][C]0.352561636070703[/C][/ROW]
[ROW][C]0.54[/C][C]20.5411669359435[/C][C]0.361279163726986[/C][/ROW]
[ROW][C]0.55[/C][C]20.6142465024543[/C][C]0.373202238835009[/C][/ROW]
[ROW][C]0.56[/C][C]20.6900510633009[/C][C]0.387980372992609[/C][/ROW]
[ROW][C]0.57[/C][C]20.769063046074[/C][C]0.404961608601221[/C][/ROW]
[ROW][C]0.58[/C][C]20.8516361568175[/C][C]0.423138821182349[/C][/ROW]
[ROW][C]0.59[/C][C]20.9379522845931[/C][C]0.441330528724995[/C][/ROW]
[ROW][C]0.6[/C][C]21.0280028315861[/C][C]0.458481930310304[/C][/ROW]
[ROW][C]0.61[/C][C]21.1215931712391[/C][C]0.473663285445787[/C][/ROW]
[ROW][C]0.62[/C][C]21.218363377976[/C][C]0.4862560410411[/C][/ROW]
[ROW][C]0.63[/C][C]21.3178156974826[/C][C]0.495751603248837[/C][/ROW]
[ROW][C]0.64[/C][C]21.4193401293572[/C][C]0.501803113231322[/C][/ROW]
[ROW][C]0.65[/C][C]21.5222334208451[/C][C]0.504139009014569[/C][/ROW]
[ROW][C]0.66[/C][C]21.6257121279211[/C][C]0.502428400985855[/C][/ROW]
[ROW][C]0.67[/C][C]21.7289251317027[/C][C]0.496396360071775[/C][/ROW]
[ROW][C]0.68[/C][C]21.8309733229287[/C][C]0.485838759839401[/C][/ROW]
[ROW][C]0.69[/C][C]21.9309432084077[/C][C]0.470747979110181[/C][/ROW]
[ROW][C]0.7[/C][C]22.0279572729494[/C][C]0.451359672540301[/C][/ROW]
[ROW][C]0.71[/C][C]22.1212384322461[/C][C]0.428308962861389[/C][/ROW]
[ROW][C]0.72[/C][C]22.2101807726026[/C][C]0.402541290259968[/C][/ROW]
[ROW][C]0.73[/C][C]22.2944157742236[/C][C]0.375387337024393[/C][/ROW]
[ROW][C]0.74[/C][C]22.3738633109534[/C][C]0.348277124200391[/C][/ROW]
[ROW][C]0.75[/C][C]22.4487596309533[/C][C]0.322730557548837[/C][/ROW]
[ROW][C]0.76[/C][C]22.5196587819468[/C][C]0.300263023328333[/C][/ROW]
[ROW][C]0.77[/C][C]22.5874074933331[/C][C]0.282040161085179[/C][/ROW]
[ROW][C]0.78[/C][C]22.6530947727794[/C][C]0.2690020023451[/C][/ROW]
[ROW][C]0.79[/C][C]22.7179764263536[/C][C]0.261658354584894[/C][/ROW]
[ROW][C]0.8[/C][C]22.783373554195[/C][C]0.260040961470619[/C][/ROW]
[ROW][C]0.81[/C][C]22.8505464996467[/C][C]0.263506868183027[/C][/ROW]
[ROW][C]0.82[/C][C]22.9205547688441[/C][C]0.270757876045836[/C][/ROW]
[ROW][C]0.83[/C][C]22.9941284468408[/C][C]0.279867753504505[/C][/ROW]
[ROW][C]0.84[/C][C]23.071591146162[/C][C]0.288644566505411[/C][/ROW]
[ROW][C]0.85[/C][C]23.1528771450042[/C][C]0.295150033711542[/C][/ROW]
[ROW][C]0.86[/C][C]23.237665120626[/C][C]0.298218552428435[/C][/ROW]
[ROW][C]0.87[/C][C]23.3256057744098[/C][C]0.297991127742483[/C][/ROW]
[ROW][C]0.88[/C][C]23.416565084673[/C][C]0.295744131203666[/C][/ROW]
[ROW][C]0.89[/C][C]23.5107697437361[/C][C]0.293356228515187[/C][/ROW]
[ROW][C]0.9[/C][C]23.6087635397563[/C][C]0.292122922987967[/C][/ROW]
[ROW][C]0.91[/C][C]23.7111908128405[/C][C]0.291734930452261[/C][/ROW]
[ROW][C]0.92[/C][C]23.8186213307247[/C][C]0.290279649277308[/C][/ROW]
[ROW][C]0.93[/C][C]23.9318766432598[/C][C]0.285801104447994[/C][/ROW]
[ROW][C]0.94[/C][C]24.0534177575522[/C][C]0.279545638874537[/C][/ROW]
[ROW][C]0.95[/C][C]24.1897949440507[/C][C]0.28063013976454[/C][/ROW]
[ROW][C]0.96[/C][C]24.3532514983661[/C][C]0.306020185616406[/C][/ROW]
[ROW][C]0.97[/C][C]24.5575796140656[/C][C]0.357353623597158[/C][/ROW]
[ROW][C]0.98[/C][C]24.8022179758718[/C][C]0.389696817256354[/C][/ROW]
[ROW][C]0.99[/C][C]25.0460411199282[/C][C]0.35230583079677[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205059&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
0.0113.77938131225340.858727703899172
0.0214.33173650408320.793679432141714
0.0314.84311158475550.680341290683148
0.0415.24361334418250.569004899262393
0.0515.54770191111570.497613920843118
0.0615.78783002040860.460739465622886
0.0715.98945428912530.444327636732072
0.0816.16809054284280.439194279011044
0.0916.33224648962630.438424916401727
0.116.48640624694110.437960437576691
0.1116.63311099875950.438117176960893
0.1216.77429180167480.441991469831433
0.1316.91193593261410.452568510948659
0.1417.04814920532720.470597956993698
0.1517.18482157821570.494034119236958
0.1617.32318908351930.518984140850092
0.1717.4635295762730.540922033453314
0.1817.60510132071780.555786880790999
0.1917.74631760133330.560739141812915
0.217.88508357499090.554586941003195
0.2118.01919912342650.537880548233519
0.2218.14673726251580.512689643067141
0.2318.26632924418950.482084286601144
0.2418.37731737226070.449585569340592
0.2518.47976869518510.418551140595707
0.2618.57437085846660.391624372499733
0.2718.662250117340.370436443615092
0.2818.74475820219540.355579565755635
0.2918.82327026784290.346600734350808
0.318.89902412789310.342400503923835
0.3118.97301603141750.34154932043318
0.3219.04595451024760.342549224976771
0.3319.11826393744940.344148658879183
0.3419.19012426180530.345353627008899
0.3519.26153234184480.345611319459193
0.3619.33237197367570.344598044314703
0.3719.40248249240590.34235487972856
0.3819.47171850939750.339154075088655
0.3919.53999539701820.335508668638311
0.419.60731670850980.331971949647887
0.4119.67378139574530.329094558113973
0.4219.73957101750590.327394429277195
0.4319.80492025305120.327100148091199
0.4419.87007747276160.328158610293093
0.4519.93526487748380.330236869171325
0.4620.00064866266080.33282087705276
0.4720.0663279997720.335411918223146
0.4820.13234732130840.337631270011179
0.4920.19873032270260.339409753295124
0.520.2655278547740.341053173814785
0.5120.3328673176130.343193473663948
0.5220.40098976550750.346757421614674
0.5320.47026329883510.352561636070703
0.5420.54116693594350.361279163726986
0.5520.61424650245430.373202238835009
0.5620.69005106330090.387980372992609
0.5720.7690630460740.404961608601221
0.5820.85163615681750.423138821182349
0.5920.93795228459310.441330528724995
0.621.02800283158610.458481930310304
0.6121.12159317123910.473663285445787
0.6221.2183633779760.4862560410411
0.6321.31781569748260.495751603248837
0.6421.41934012935720.501803113231322
0.6521.52223342084510.504139009014569
0.6621.62571212792110.502428400985855
0.6721.72892513170270.496396360071775
0.6821.83097332292870.485838759839401
0.6921.93094320840770.470747979110181
0.722.02795727294940.451359672540301
0.7122.12123843224610.428308962861389
0.7222.21018077260260.402541290259968
0.7322.29441577422360.375387337024393
0.7422.37386331095340.348277124200391
0.7522.44875963095330.322730557548837
0.7622.51965878194680.300263023328333
0.7722.58740749333310.282040161085179
0.7822.65309477277940.2690020023451
0.7922.71797642635360.261658354584894
0.822.7833735541950.260040961470619
0.8122.85054649964670.263506868183027
0.8222.92055476884410.270757876045836
0.8322.99412844684080.279867753504505
0.8423.0715911461620.288644566505411
0.8523.15287714500420.295150033711542
0.8623.2376651206260.298218552428435
0.8723.32560577440980.297991127742483
0.8823.4165650846730.295744131203666
0.8923.51076974373610.293356228515187
0.923.60876353975630.292122922987967
0.9123.71119081284050.291734930452261
0.9223.81862133072470.290279649277308
0.9323.93187664325980.285801104447994
0.9424.05341775755220.279545638874537
0.9524.18979494405070.28063013976454
0.9624.35325149836610.306020185616406
0.9724.55757961406560.357353623597158
0.9824.80221797587180.389696817256354
0.9925.04604111992820.35230583079677


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')