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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 computationWed, 03 Dec 2008 16:41:52 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/04/t1228348218cabyc8foywb7rgj.htm/, Retrieved Wed, 22 May 2024 06:28:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28904, Retrieved Wed, 22 May 2024 06:28:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact232
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Harell-Davis Bouw...] [2008-12-03 23:28:51] [aa5573c1db401b164e448aef050955a1]
-    D    [Harrell-Davis Quantiles] [Harell-Davis Tota...] [2008-12-03 23:41:52] [8a1195ff8db4df756ce44b463a631c76] [Current]
-    D      [Harrell-Davis Quantiles] [Harell-Davis Inve...] [2008-12-03 23:58:28] [aa5573c1db401b164e448aef050955a1]
-    D        [Harrell-Davis Quantiles] [Harell-Davis omzet] [2008-12-04 00:10:36] [aa5573c1db401b164e448aef050955a1]
- RMPD        [Mean Plot] [Mean plot bouwpro...] [2008-12-04 00:52:43] [aa5573c1db401b164e448aef050955a1]
-    D          [Mean Plot] [Mean plot totale ...] [2008-12-04 01:06:09] [aa5573c1db401b164e448aef050955a1]
-    D            [Mean Plot] [Mean plot investm...] [2008-12-04 01:14:37] [aa5573c1db401b164e448aef050955a1]
-    D              [Mean Plot] [Mean plot omzet] [2008-12-04 01:21:05] [aa5573c1db401b164e448aef050955a1]
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Dataseries X:
97.4
97
105.4
102.7
98.1
104.5
87.4
89.9
109.8
111.7
98.6
96.9
95.1
97
112.7
102.9
97.4
111.4
87.4
96.8
114.1
110.3
103.9
101.6
94.6
95.9
104.7
102.8
98.1
113.9
80.9
95.7
113.2
105.9
108.8
102.3
99
100.7
115.5
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102
106
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100
110.7
112.8
109.8
117.3
109.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28904&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28904&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28904&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0182.04402981421633.83143878521845
0.01582.83867308514683.44910157991247
0.0283.68128594705283.08644780882619
0.02584.515030154282.78769815131631
0.0385.30579755635322.58055033666389
0.03586.03970093876962.47454816767973
0.0486.71720285304382.46165264938709
0.04587.34679788289822.52082004056642
0.0587.93984657607452.62475319270471
0.05588.50710321820522.74691387679275
0.0689.05684105175082.86466116609515
0.06589.59419826186252.96102427153339
0.0790.12131792885973.02470046039923
0.07590.63791849051673.04959623838789
0.0891.14203030109783.03404154658501
0.08591.63072811708872.97978182026247
0.0992.10076359425332.89128568820015
0.09592.54905439535362.77453384552936
0.192.97302085460652.6363941187949
0.10593.3707819345992.48392219804168
0.1193.74123341108262.32360987802485
0.11594.08403581913142.16129968234727
0.1294.3995398683172.00183096099604
0.12594.6886743977891.84904819280192
0.1394.95281771832591.70550180129554
0.13595.1936683063771.57318539205236
0.1495.41312595406461.45289801508541
0.14595.61319009711561.34505317758013
0.1595.7958784060911.24944178504760
0.15595.96316594508331.16566592459374
0.1696.11694326897951.09303851640026
0.16596.25899065929031.03105045834946
0.1796.39096515828470.979084510959081
0.17596.51439700278770.936501490062303
0.1896.6306923356670.902947640626522
0.18596.74113955310670.877948602474049
0.1996.84691722019510.861267166847953
0.19596.94910207258110.852333183691282
0.297.04867615963080.850896439816373
0.20597.14653263896180.856375207351435
0.2197.24348008678240.868454837531504
0.21597.34024544104010.886291090541252
0.2297.437475853270.90933632338093
0.22597.53573980478920.93686912463644
0.2397.63552786103010.968096937574448
0.23597.73725341214761.00254782809798
0.2497.84125369481981.03909456561929
0.24597.94779132291251.07745151723987
0.2598.05705648373681.11653893740204
0.25598.16916988910191.15605785270620
0.2698.28418651054271.19509328446427
0.26598.40210007794121.23321738280629
0.2798.5228482806161.26995884298453
0.27598.64631857913841.30480517542895
0.2898.77235451348881.33723720009398
0.28598.90076237745281.36709562329250
0.2999.03131811931971.39411101673632
0.29599.16377432421421.41788484826422
0.399.29786713330281.43867585931584
0.30599.43332295941521.45605427558912
0.3199.56986486716071.47018693867590
0.31599.7072184982181.48123670284275
0.3299.84511743880991.48923501377044
0.32599.9833079459151.49437697985011
0.33100.1215529707511.49696880893543
0.335100.2596354415321.49717584996746
0.34100.3973607913331.49537649977787
0.345100.5345587399931.49173092598429
0.35100.6710843602141.48662484331790
0.355100.8068184765051.48037067353139
0.36100.9416674607401.47311665125521
0.365101.0755624993281.46539349937945
0.37101.2084584145171.45722216562705
0.375101.3403321260941.44871150216068
0.38101.4711808404291.44039022076664
0.385101.6010200517761.43238094234349
0.39101.7298814368821.42475062120153
0.395101.8578107186831.41768376286116
0.4101.9848655688441.41109817001357
0.405102.1111136124091.40539997456685
0.41102.2366305910491.40055600365501
0.415102.3614987342811.39645371910912
0.42102.4858053804061.39340064027337
0.425102.6096418804301.39118660894960
0.43102.7331028085471.38989144894525
0.435102.8562854916161.38954459738849
0.44102.9792898571481.39014816958801
0.445103.1022185847391.39180921944376
0.45103.2251775297931.39429632969537
0.455103.3482763712861.39785187049643
0.46103.4716294179891.40247461250211
0.465103.5953564909531.4081042400424
0.47103.7195837853301.41501046545288
0.475103.8444446030801.42327555136118
0.48103.9700798409301.43282475205183
0.485104.0966381164251.44404636982341
0.49104.2242754199151.45685351799684
0.495104.3531541925181.47169663447621
0.5104.4834417497881.48831039224282
0.505104.6153079977891.50707220144056
0.51104.7489224218431.52792747020003
0.515104.8844503671521.55093649852011
0.52105.0220486731991.57587040276334
0.525105.1618607681421.60275924485275
0.53105.3040113729051.63128621907940
0.535105.4486010047791.66116333370599
0.54105.5957005043011.69192250119827
0.545105.7453458344661.72314750185391
0.55105.8975334156141.75422619966187
0.555106.0522162607461.78470187648006
0.56106.2093011634301.81368118285990
0.565106.3686471631351.84084163837552
0.57106.530065471381.86506846466187
0.575106.6933209874081.88605446598670
0.58106.8581354665171.90308095944318
0.585107.0241923303501.91574955413374
0.59107.1911430300691.92343329498153
0.595107.3586147943511.92599420724328
0.6107.5262195189621.92320474888150
0.605107.6935634875711.91497597142546
0.61107.8602575586711.90135875036837
0.615108.0259274145341.88272731806358
0.62108.1902234479581.85928008827953
0.625108.3528298630621.83165042242821
0.63108.5134725884241.80039746974359
0.635108.6719256439331.76619023137978
0.64108.8280156654211.72981894505153
0.645108.9816243705941.69217884702022
0.65109.1326888422651.65380689764925
0.655109.2811996060211.61567353441508
0.66109.4271965838551.57847103597747
0.665109.5707631078711.54284532021622
0.67109.7120182733961.50921923744407
0.675109.8511079937231.47807355155171
0.68109.9881951848911.44957401102595
0.685110.123449554681.42372049571430
0.69110.2570374928671.40059273689503
0.695110.3891125582761.37974955416804
0.7110.5198070320521.36096961110959
0.705110.6492249569001.34365427021166
0.71110.7774370110071.32734531392983
0.715110.9044774761871.31144877402648
0.72111.0303434567271.29549678544453
0.725111.1549963934081.27876061319383
0.73111.2783658017081.26095195532774
0.735111.4003550500401.24158444522809
0.74111.5208488889771.22051817611045
0.745111.6397223512921.19738139198353
0.75111.7568505705841.17240325675242
0.755111.8721190177031.14549763121312
0.76111.9854336325211.11707296892320
0.765112.0967303361911.08731971786037
0.77112.2059834465231.05680920856362
0.775112.313212585811.02605289179262
0.78112.4184877634920.995624281978877
0.785112.5219324312230.966190193488504
0.79112.62372443860.938419985079534
0.795112.7240949560890.91279156954273
0.8112.8233255677140.889954564549181
0.805112.9217438591370.870434072951398
0.81113.0197179251330.854449440463727
0.815113.1176502828200.842303878218355
0.82113.2159716926280.834043502754197
0.825113.3151353496610.82977512215306
0.83113.4156118087480.829314787055051
0.835113.5178848475760.83248906078775
0.84113.6224482607820.839166554087838
0.845113.7298033296990.849091145367984
0.85113.8404564534140.862039605491356
0.855113.9549161940860.877891446505311
0.86114.0736888313020.896469352696527
0.865114.1972714946330.917711876329907
0.87114.3261421145560.94133856169276
0.875114.4607458633130.967214445372437
0.88114.6014785037730.994924335306229
0.885114.7486681591321.02384589091592
0.89114.9025584575111.05318836446653
0.895115.0632977423741.08189312386113
0.9115.2309409597621.10861054119554
0.905115.4054727525011.13197423931883
0.91115.5868619427991.15049516613499
0.915115.7751585937011.16308328276075
0.92115.9706446646301.16906444269145
0.925116.1740470744571.16876309276030
0.93116.3868163794841.16380092456187
0.935116.6114630234511.15748411254418
0.94116.8519228390511.15542199613518
0.945117.1138897891441.16547573651840
0.95117.4050027337581.19763994202319
0.955117.7347039981261.26297939508003
0.96118.1135109578061.37201118373610
0.965118.5513885383581.53289072781439
0.97119.0549419268491.74986507656753
0.975119.6233589806862.02185479858688
0.98120.2435257637782.34024527956546
0.985120.8855676476552.68624574746075
0.99121.5011119168723.029364947916

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 82.0440298142163 & 3.83143878521845 \tabularnewline
0.015 & 82.8386730851468 & 3.44910157991247 \tabularnewline
0.02 & 83.6812859470528 & 3.08644780882619 \tabularnewline
0.025 & 84.51503015428 & 2.78769815131631 \tabularnewline
0.03 & 85.3057975563532 & 2.58055033666389 \tabularnewline
0.035 & 86.0397009387696 & 2.47454816767973 \tabularnewline
0.04 & 86.7172028530438 & 2.46165264938709 \tabularnewline
0.045 & 87.3467978828982 & 2.52082004056642 \tabularnewline
0.05 & 87.9398465760745 & 2.62475319270471 \tabularnewline
0.055 & 88.5071032182052 & 2.74691387679275 \tabularnewline
0.06 & 89.0568410517508 & 2.86466116609515 \tabularnewline
0.065 & 89.5941982618625 & 2.96102427153339 \tabularnewline
0.07 & 90.1213179288597 & 3.02470046039923 \tabularnewline
0.075 & 90.6379184905167 & 3.04959623838789 \tabularnewline
0.08 & 91.1420303010978 & 3.03404154658501 \tabularnewline
0.085 & 91.6307281170887 & 2.97978182026247 \tabularnewline
0.09 & 92.1007635942533 & 2.89128568820015 \tabularnewline
0.095 & 92.5490543953536 & 2.77453384552936 \tabularnewline
0.1 & 92.9730208546065 & 2.6363941187949 \tabularnewline
0.105 & 93.370781934599 & 2.48392219804168 \tabularnewline
0.11 & 93.7412334110826 & 2.32360987802485 \tabularnewline
0.115 & 94.0840358191314 & 2.16129968234727 \tabularnewline
0.12 & 94.399539868317 & 2.00183096099604 \tabularnewline
0.125 & 94.688674397789 & 1.84904819280192 \tabularnewline
0.13 & 94.9528177183259 & 1.70550180129554 \tabularnewline
0.135 & 95.193668306377 & 1.57318539205236 \tabularnewline
0.14 & 95.4131259540646 & 1.45289801508541 \tabularnewline
0.145 & 95.6131900971156 & 1.34505317758013 \tabularnewline
0.15 & 95.795878406091 & 1.24944178504760 \tabularnewline
0.155 & 95.9631659450833 & 1.16566592459374 \tabularnewline
0.16 & 96.1169432689795 & 1.09303851640026 \tabularnewline
0.165 & 96.2589906592903 & 1.03105045834946 \tabularnewline
0.17 & 96.3909651582847 & 0.979084510959081 \tabularnewline
0.175 & 96.5143970027877 & 0.936501490062303 \tabularnewline
0.18 & 96.630692335667 & 0.902947640626522 \tabularnewline
0.185 & 96.7411395531067 & 0.877948602474049 \tabularnewline
0.19 & 96.8469172201951 & 0.861267166847953 \tabularnewline
0.195 & 96.9491020725811 & 0.852333183691282 \tabularnewline
0.2 & 97.0486761596308 & 0.850896439816373 \tabularnewline
0.205 & 97.1465326389618 & 0.856375207351435 \tabularnewline
0.21 & 97.2434800867824 & 0.868454837531504 \tabularnewline
0.215 & 97.3402454410401 & 0.886291090541252 \tabularnewline
0.22 & 97.43747585327 & 0.90933632338093 \tabularnewline
0.225 & 97.5357398047892 & 0.93686912463644 \tabularnewline
0.23 & 97.6355278610301 & 0.968096937574448 \tabularnewline
0.235 & 97.7372534121476 & 1.00254782809798 \tabularnewline
0.24 & 97.8412536948198 & 1.03909456561929 \tabularnewline
0.245 & 97.9477913229125 & 1.07745151723987 \tabularnewline
0.25 & 98.0570564837368 & 1.11653893740204 \tabularnewline
0.255 & 98.1691698891019 & 1.15605785270620 \tabularnewline
0.26 & 98.2841865105427 & 1.19509328446427 \tabularnewline
0.265 & 98.4021000779412 & 1.23321738280629 \tabularnewline
0.27 & 98.522848280616 & 1.26995884298453 \tabularnewline
0.275 & 98.6463185791384 & 1.30480517542895 \tabularnewline
0.28 & 98.7723545134888 & 1.33723720009398 \tabularnewline
0.285 & 98.9007623774528 & 1.36709562329250 \tabularnewline
0.29 & 99.0313181193197 & 1.39411101673632 \tabularnewline
0.295 & 99.1637743242142 & 1.41788484826422 \tabularnewline
0.3 & 99.2978671333028 & 1.43867585931584 \tabularnewline
0.305 & 99.4333229594152 & 1.45605427558912 \tabularnewline
0.31 & 99.5698648671607 & 1.47018693867590 \tabularnewline
0.315 & 99.707218498218 & 1.48123670284275 \tabularnewline
0.32 & 99.8451174388099 & 1.48923501377044 \tabularnewline
0.325 & 99.983307945915 & 1.49437697985011 \tabularnewline
0.33 & 100.121552970751 & 1.49696880893543 \tabularnewline
0.335 & 100.259635441532 & 1.49717584996746 \tabularnewline
0.34 & 100.397360791333 & 1.49537649977787 \tabularnewline
0.345 & 100.534558739993 & 1.49173092598429 \tabularnewline
0.35 & 100.671084360214 & 1.48662484331790 \tabularnewline
0.355 & 100.806818476505 & 1.48037067353139 \tabularnewline
0.36 & 100.941667460740 & 1.47311665125521 \tabularnewline
0.365 & 101.075562499328 & 1.46539349937945 \tabularnewline
0.37 & 101.208458414517 & 1.45722216562705 \tabularnewline
0.375 & 101.340332126094 & 1.44871150216068 \tabularnewline
0.38 & 101.471180840429 & 1.44039022076664 \tabularnewline
0.385 & 101.601020051776 & 1.43238094234349 \tabularnewline
0.39 & 101.729881436882 & 1.42475062120153 \tabularnewline
0.395 & 101.857810718683 & 1.41768376286116 \tabularnewline
0.4 & 101.984865568844 & 1.41109817001357 \tabularnewline
0.405 & 102.111113612409 & 1.40539997456685 \tabularnewline
0.41 & 102.236630591049 & 1.40055600365501 \tabularnewline
0.415 & 102.361498734281 & 1.39645371910912 \tabularnewline
0.42 & 102.485805380406 & 1.39340064027337 \tabularnewline
0.425 & 102.609641880430 & 1.39118660894960 \tabularnewline
0.43 & 102.733102808547 & 1.38989144894525 \tabularnewline
0.435 & 102.856285491616 & 1.38954459738849 \tabularnewline
0.44 & 102.979289857148 & 1.39014816958801 \tabularnewline
0.445 & 103.102218584739 & 1.39180921944376 \tabularnewline
0.45 & 103.225177529793 & 1.39429632969537 \tabularnewline
0.455 & 103.348276371286 & 1.39785187049643 \tabularnewline
0.46 & 103.471629417989 & 1.40247461250211 \tabularnewline
0.465 & 103.595356490953 & 1.4081042400424 \tabularnewline
0.47 & 103.719583785330 & 1.41501046545288 \tabularnewline
0.475 & 103.844444603080 & 1.42327555136118 \tabularnewline
0.48 & 103.970079840930 & 1.43282475205183 \tabularnewline
0.485 & 104.096638116425 & 1.44404636982341 \tabularnewline
0.49 & 104.224275419915 & 1.45685351799684 \tabularnewline
0.495 & 104.353154192518 & 1.47169663447621 \tabularnewline
0.5 & 104.483441749788 & 1.48831039224282 \tabularnewline
0.505 & 104.615307997789 & 1.50707220144056 \tabularnewline
0.51 & 104.748922421843 & 1.52792747020003 \tabularnewline
0.515 & 104.884450367152 & 1.55093649852011 \tabularnewline
0.52 & 105.022048673199 & 1.57587040276334 \tabularnewline
0.525 & 105.161860768142 & 1.60275924485275 \tabularnewline
0.53 & 105.304011372905 & 1.63128621907940 \tabularnewline
0.535 & 105.448601004779 & 1.66116333370599 \tabularnewline
0.54 & 105.595700504301 & 1.69192250119827 \tabularnewline
0.545 & 105.745345834466 & 1.72314750185391 \tabularnewline
0.55 & 105.897533415614 & 1.75422619966187 \tabularnewline
0.555 & 106.052216260746 & 1.78470187648006 \tabularnewline
0.56 & 106.209301163430 & 1.81368118285990 \tabularnewline
0.565 & 106.368647163135 & 1.84084163837552 \tabularnewline
0.57 & 106.53006547138 & 1.86506846466187 \tabularnewline
0.575 & 106.693320987408 & 1.88605446598670 \tabularnewline
0.58 & 106.858135466517 & 1.90308095944318 \tabularnewline
0.585 & 107.024192330350 & 1.91574955413374 \tabularnewline
0.59 & 107.191143030069 & 1.92343329498153 \tabularnewline
0.595 & 107.358614794351 & 1.92599420724328 \tabularnewline
0.6 & 107.526219518962 & 1.92320474888150 \tabularnewline
0.605 & 107.693563487571 & 1.91497597142546 \tabularnewline
0.61 & 107.860257558671 & 1.90135875036837 \tabularnewline
0.615 & 108.025927414534 & 1.88272731806358 \tabularnewline
0.62 & 108.190223447958 & 1.85928008827953 \tabularnewline
0.625 & 108.352829863062 & 1.83165042242821 \tabularnewline
0.63 & 108.513472588424 & 1.80039746974359 \tabularnewline
0.635 & 108.671925643933 & 1.76619023137978 \tabularnewline
0.64 & 108.828015665421 & 1.72981894505153 \tabularnewline
0.645 & 108.981624370594 & 1.69217884702022 \tabularnewline
0.65 & 109.132688842265 & 1.65380689764925 \tabularnewline
0.655 & 109.281199606021 & 1.61567353441508 \tabularnewline
0.66 & 109.427196583855 & 1.57847103597747 \tabularnewline
0.665 & 109.570763107871 & 1.54284532021622 \tabularnewline
0.67 & 109.712018273396 & 1.50921923744407 \tabularnewline
0.675 & 109.851107993723 & 1.47807355155171 \tabularnewline
0.68 & 109.988195184891 & 1.44957401102595 \tabularnewline
0.685 & 110.12344955468 & 1.42372049571430 \tabularnewline
0.69 & 110.257037492867 & 1.40059273689503 \tabularnewline
0.695 & 110.389112558276 & 1.37974955416804 \tabularnewline
0.7 & 110.519807032052 & 1.36096961110959 \tabularnewline
0.705 & 110.649224956900 & 1.34365427021166 \tabularnewline
0.71 & 110.777437011007 & 1.32734531392983 \tabularnewline
0.715 & 110.904477476187 & 1.31144877402648 \tabularnewline
0.72 & 111.030343456727 & 1.29549678544453 \tabularnewline
0.725 & 111.154996393408 & 1.27876061319383 \tabularnewline
0.73 & 111.278365801708 & 1.26095195532774 \tabularnewline
0.735 & 111.400355050040 & 1.24158444522809 \tabularnewline
0.74 & 111.520848888977 & 1.22051817611045 \tabularnewline
0.745 & 111.639722351292 & 1.19738139198353 \tabularnewline
0.75 & 111.756850570584 & 1.17240325675242 \tabularnewline
0.755 & 111.872119017703 & 1.14549763121312 \tabularnewline
0.76 & 111.985433632521 & 1.11707296892320 \tabularnewline
0.765 & 112.096730336191 & 1.08731971786037 \tabularnewline
0.77 & 112.205983446523 & 1.05680920856362 \tabularnewline
0.775 & 112.31321258581 & 1.02605289179262 \tabularnewline
0.78 & 112.418487763492 & 0.995624281978877 \tabularnewline
0.785 & 112.521932431223 & 0.966190193488504 \tabularnewline
0.79 & 112.6237244386 & 0.938419985079534 \tabularnewline
0.795 & 112.724094956089 & 0.91279156954273 \tabularnewline
0.8 & 112.823325567714 & 0.889954564549181 \tabularnewline
0.805 & 112.921743859137 & 0.870434072951398 \tabularnewline
0.81 & 113.019717925133 & 0.854449440463727 \tabularnewline
0.815 & 113.117650282820 & 0.842303878218355 \tabularnewline
0.82 & 113.215971692628 & 0.834043502754197 \tabularnewline
0.825 & 113.315135349661 & 0.82977512215306 \tabularnewline
0.83 & 113.415611808748 & 0.829314787055051 \tabularnewline
0.835 & 113.517884847576 & 0.83248906078775 \tabularnewline
0.84 & 113.622448260782 & 0.839166554087838 \tabularnewline
0.845 & 113.729803329699 & 0.849091145367984 \tabularnewline
0.85 & 113.840456453414 & 0.862039605491356 \tabularnewline
0.855 & 113.954916194086 & 0.877891446505311 \tabularnewline
0.86 & 114.073688831302 & 0.896469352696527 \tabularnewline
0.865 & 114.197271494633 & 0.917711876329907 \tabularnewline
0.87 & 114.326142114556 & 0.94133856169276 \tabularnewline
0.875 & 114.460745863313 & 0.967214445372437 \tabularnewline
0.88 & 114.601478503773 & 0.994924335306229 \tabularnewline
0.885 & 114.748668159132 & 1.02384589091592 \tabularnewline
0.89 & 114.902558457511 & 1.05318836446653 \tabularnewline
0.895 & 115.063297742374 & 1.08189312386113 \tabularnewline
0.9 & 115.230940959762 & 1.10861054119554 \tabularnewline
0.905 & 115.405472752501 & 1.13197423931883 \tabularnewline
0.91 & 115.586861942799 & 1.15049516613499 \tabularnewline
0.915 & 115.775158593701 & 1.16308328276075 \tabularnewline
0.92 & 115.970644664630 & 1.16906444269145 \tabularnewline
0.925 & 116.174047074457 & 1.16876309276030 \tabularnewline
0.93 & 116.386816379484 & 1.16380092456187 \tabularnewline
0.935 & 116.611463023451 & 1.15748411254418 \tabularnewline
0.94 & 116.851922839051 & 1.15542199613518 \tabularnewline
0.945 & 117.113889789144 & 1.16547573651840 \tabularnewline
0.95 & 117.405002733758 & 1.19763994202319 \tabularnewline
0.955 & 117.734703998126 & 1.26297939508003 \tabularnewline
0.96 & 118.113510957806 & 1.37201118373610 \tabularnewline
0.965 & 118.551388538358 & 1.53289072781439 \tabularnewline
0.97 & 119.054941926849 & 1.74986507656753 \tabularnewline
0.975 & 119.623358980686 & 2.02185479858688 \tabularnewline
0.98 & 120.243525763778 & 2.34024527956546 \tabularnewline
0.985 & 120.885567647655 & 2.68624574746075 \tabularnewline
0.99 & 121.501111916872 & 3.029364947916 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28904&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]82.0440298142163[/C][C]3.83143878521845[/C][/ROW]
[ROW][C]0.015[/C][C]82.8386730851468[/C][C]3.44910157991247[/C][/ROW]
[ROW][C]0.02[/C][C]83.6812859470528[/C][C]3.08644780882619[/C][/ROW]
[ROW][C]0.025[/C][C]84.51503015428[/C][C]2.78769815131631[/C][/ROW]
[ROW][C]0.03[/C][C]85.3057975563532[/C][C]2.58055033666389[/C][/ROW]
[ROW][C]0.035[/C][C]86.0397009387696[/C][C]2.47454816767973[/C][/ROW]
[ROW][C]0.04[/C][C]86.7172028530438[/C][C]2.46165264938709[/C][/ROW]
[ROW][C]0.045[/C][C]87.3467978828982[/C][C]2.52082004056642[/C][/ROW]
[ROW][C]0.05[/C][C]87.9398465760745[/C][C]2.62475319270471[/C][/ROW]
[ROW][C]0.055[/C][C]88.5071032182052[/C][C]2.74691387679275[/C][/ROW]
[ROW][C]0.06[/C][C]89.0568410517508[/C][C]2.86466116609515[/C][/ROW]
[ROW][C]0.065[/C][C]89.5941982618625[/C][C]2.96102427153339[/C][/ROW]
[ROW][C]0.07[/C][C]90.1213179288597[/C][C]3.02470046039923[/C][/ROW]
[ROW][C]0.075[/C][C]90.6379184905167[/C][C]3.04959623838789[/C][/ROW]
[ROW][C]0.08[/C][C]91.1420303010978[/C][C]3.03404154658501[/C][/ROW]
[ROW][C]0.085[/C][C]91.6307281170887[/C][C]2.97978182026247[/C][/ROW]
[ROW][C]0.09[/C][C]92.1007635942533[/C][C]2.89128568820015[/C][/ROW]
[ROW][C]0.095[/C][C]92.5490543953536[/C][C]2.77453384552936[/C][/ROW]
[ROW][C]0.1[/C][C]92.9730208546065[/C][C]2.6363941187949[/C][/ROW]
[ROW][C]0.105[/C][C]93.370781934599[/C][C]2.48392219804168[/C][/ROW]
[ROW][C]0.11[/C][C]93.7412334110826[/C][C]2.32360987802485[/C][/ROW]
[ROW][C]0.115[/C][C]94.0840358191314[/C][C]2.16129968234727[/C][/ROW]
[ROW][C]0.12[/C][C]94.399539868317[/C][C]2.00183096099604[/C][/ROW]
[ROW][C]0.125[/C][C]94.688674397789[/C][C]1.84904819280192[/C][/ROW]
[ROW][C]0.13[/C][C]94.9528177183259[/C][C]1.70550180129554[/C][/ROW]
[ROW][C]0.135[/C][C]95.193668306377[/C][C]1.57318539205236[/C][/ROW]
[ROW][C]0.14[/C][C]95.4131259540646[/C][C]1.45289801508541[/C][/ROW]
[ROW][C]0.145[/C][C]95.6131900971156[/C][C]1.34505317758013[/C][/ROW]
[ROW][C]0.15[/C][C]95.795878406091[/C][C]1.24944178504760[/C][/ROW]
[ROW][C]0.155[/C][C]95.9631659450833[/C][C]1.16566592459374[/C][/ROW]
[ROW][C]0.16[/C][C]96.1169432689795[/C][C]1.09303851640026[/C][/ROW]
[ROW][C]0.165[/C][C]96.2589906592903[/C][C]1.03105045834946[/C][/ROW]
[ROW][C]0.17[/C][C]96.3909651582847[/C][C]0.979084510959081[/C][/ROW]
[ROW][C]0.175[/C][C]96.5143970027877[/C][C]0.936501490062303[/C][/ROW]
[ROW][C]0.18[/C][C]96.630692335667[/C][C]0.902947640626522[/C][/ROW]
[ROW][C]0.185[/C][C]96.7411395531067[/C][C]0.877948602474049[/C][/ROW]
[ROW][C]0.19[/C][C]96.8469172201951[/C][C]0.861267166847953[/C][/ROW]
[ROW][C]0.195[/C][C]96.9491020725811[/C][C]0.852333183691282[/C][/ROW]
[ROW][C]0.2[/C][C]97.0486761596308[/C][C]0.850896439816373[/C][/ROW]
[ROW][C]0.205[/C][C]97.1465326389618[/C][C]0.856375207351435[/C][/ROW]
[ROW][C]0.21[/C][C]97.2434800867824[/C][C]0.868454837531504[/C][/ROW]
[ROW][C]0.215[/C][C]97.3402454410401[/C][C]0.886291090541252[/C][/ROW]
[ROW][C]0.22[/C][C]97.43747585327[/C][C]0.90933632338093[/C][/ROW]
[ROW][C]0.225[/C][C]97.5357398047892[/C][C]0.93686912463644[/C][/ROW]
[ROW][C]0.23[/C][C]97.6355278610301[/C][C]0.968096937574448[/C][/ROW]
[ROW][C]0.235[/C][C]97.7372534121476[/C][C]1.00254782809798[/C][/ROW]
[ROW][C]0.24[/C][C]97.8412536948198[/C][C]1.03909456561929[/C][/ROW]
[ROW][C]0.245[/C][C]97.9477913229125[/C][C]1.07745151723987[/C][/ROW]
[ROW][C]0.25[/C][C]98.0570564837368[/C][C]1.11653893740204[/C][/ROW]
[ROW][C]0.255[/C][C]98.1691698891019[/C][C]1.15605785270620[/C][/ROW]
[ROW][C]0.26[/C][C]98.2841865105427[/C][C]1.19509328446427[/C][/ROW]
[ROW][C]0.265[/C][C]98.4021000779412[/C][C]1.23321738280629[/C][/ROW]
[ROW][C]0.27[/C][C]98.522848280616[/C][C]1.26995884298453[/C][/ROW]
[ROW][C]0.275[/C][C]98.6463185791384[/C][C]1.30480517542895[/C][/ROW]
[ROW][C]0.28[/C][C]98.7723545134888[/C][C]1.33723720009398[/C][/ROW]
[ROW][C]0.285[/C][C]98.9007623774528[/C][C]1.36709562329250[/C][/ROW]
[ROW][C]0.29[/C][C]99.0313181193197[/C][C]1.39411101673632[/C][/ROW]
[ROW][C]0.295[/C][C]99.1637743242142[/C][C]1.41788484826422[/C][/ROW]
[ROW][C]0.3[/C][C]99.2978671333028[/C][C]1.43867585931584[/C][/ROW]
[ROW][C]0.305[/C][C]99.4333229594152[/C][C]1.45605427558912[/C][/ROW]
[ROW][C]0.31[/C][C]99.5698648671607[/C][C]1.47018693867590[/C][/ROW]
[ROW][C]0.315[/C][C]99.707218498218[/C][C]1.48123670284275[/C][/ROW]
[ROW][C]0.32[/C][C]99.8451174388099[/C][C]1.48923501377044[/C][/ROW]
[ROW][C]0.325[/C][C]99.983307945915[/C][C]1.49437697985011[/C][/ROW]
[ROW][C]0.33[/C][C]100.121552970751[/C][C]1.49696880893543[/C][/ROW]
[ROW][C]0.335[/C][C]100.259635441532[/C][C]1.49717584996746[/C][/ROW]
[ROW][C]0.34[/C][C]100.397360791333[/C][C]1.49537649977787[/C][/ROW]
[ROW][C]0.345[/C][C]100.534558739993[/C][C]1.49173092598429[/C][/ROW]
[ROW][C]0.35[/C][C]100.671084360214[/C][C]1.48662484331790[/C][/ROW]
[ROW][C]0.355[/C][C]100.806818476505[/C][C]1.48037067353139[/C][/ROW]
[ROW][C]0.36[/C][C]100.941667460740[/C][C]1.47311665125521[/C][/ROW]
[ROW][C]0.365[/C][C]101.075562499328[/C][C]1.46539349937945[/C][/ROW]
[ROW][C]0.37[/C][C]101.208458414517[/C][C]1.45722216562705[/C][/ROW]
[ROW][C]0.375[/C][C]101.340332126094[/C][C]1.44871150216068[/C][/ROW]
[ROW][C]0.38[/C][C]101.471180840429[/C][C]1.44039022076664[/C][/ROW]
[ROW][C]0.385[/C][C]101.601020051776[/C][C]1.43238094234349[/C][/ROW]
[ROW][C]0.39[/C][C]101.729881436882[/C][C]1.42475062120153[/C][/ROW]
[ROW][C]0.395[/C][C]101.857810718683[/C][C]1.41768376286116[/C][/ROW]
[ROW][C]0.4[/C][C]101.984865568844[/C][C]1.41109817001357[/C][/ROW]
[ROW][C]0.405[/C][C]102.111113612409[/C][C]1.40539997456685[/C][/ROW]
[ROW][C]0.41[/C][C]102.236630591049[/C][C]1.40055600365501[/C][/ROW]
[ROW][C]0.415[/C][C]102.361498734281[/C][C]1.39645371910912[/C][/ROW]
[ROW][C]0.42[/C][C]102.485805380406[/C][C]1.39340064027337[/C][/ROW]
[ROW][C]0.425[/C][C]102.609641880430[/C][C]1.39118660894960[/C][/ROW]
[ROW][C]0.43[/C][C]102.733102808547[/C][C]1.38989144894525[/C][/ROW]
[ROW][C]0.435[/C][C]102.856285491616[/C][C]1.38954459738849[/C][/ROW]
[ROW][C]0.44[/C][C]102.979289857148[/C][C]1.39014816958801[/C][/ROW]
[ROW][C]0.445[/C][C]103.102218584739[/C][C]1.39180921944376[/C][/ROW]
[ROW][C]0.45[/C][C]103.225177529793[/C][C]1.39429632969537[/C][/ROW]
[ROW][C]0.455[/C][C]103.348276371286[/C][C]1.39785187049643[/C][/ROW]
[ROW][C]0.46[/C][C]103.471629417989[/C][C]1.40247461250211[/C][/ROW]
[ROW][C]0.465[/C][C]103.595356490953[/C][C]1.4081042400424[/C][/ROW]
[ROW][C]0.47[/C][C]103.719583785330[/C][C]1.41501046545288[/C][/ROW]
[ROW][C]0.475[/C][C]103.844444603080[/C][C]1.42327555136118[/C][/ROW]
[ROW][C]0.48[/C][C]103.970079840930[/C][C]1.43282475205183[/C][/ROW]
[ROW][C]0.485[/C][C]104.096638116425[/C][C]1.44404636982341[/C][/ROW]
[ROW][C]0.49[/C][C]104.224275419915[/C][C]1.45685351799684[/C][/ROW]
[ROW][C]0.495[/C][C]104.353154192518[/C][C]1.47169663447621[/C][/ROW]
[ROW][C]0.5[/C][C]104.483441749788[/C][C]1.48831039224282[/C][/ROW]
[ROW][C]0.505[/C][C]104.615307997789[/C][C]1.50707220144056[/C][/ROW]
[ROW][C]0.51[/C][C]104.748922421843[/C][C]1.52792747020003[/C][/ROW]
[ROW][C]0.515[/C][C]104.884450367152[/C][C]1.55093649852011[/C][/ROW]
[ROW][C]0.52[/C][C]105.022048673199[/C][C]1.57587040276334[/C][/ROW]
[ROW][C]0.525[/C][C]105.161860768142[/C][C]1.60275924485275[/C][/ROW]
[ROW][C]0.53[/C][C]105.304011372905[/C][C]1.63128621907940[/C][/ROW]
[ROW][C]0.535[/C][C]105.448601004779[/C][C]1.66116333370599[/C][/ROW]
[ROW][C]0.54[/C][C]105.595700504301[/C][C]1.69192250119827[/C][/ROW]
[ROW][C]0.545[/C][C]105.745345834466[/C][C]1.72314750185391[/C][/ROW]
[ROW][C]0.55[/C][C]105.897533415614[/C][C]1.75422619966187[/C][/ROW]
[ROW][C]0.555[/C][C]106.052216260746[/C][C]1.78470187648006[/C][/ROW]
[ROW][C]0.56[/C][C]106.209301163430[/C][C]1.81368118285990[/C][/ROW]
[ROW][C]0.565[/C][C]106.368647163135[/C][C]1.84084163837552[/C][/ROW]
[ROW][C]0.57[/C][C]106.53006547138[/C][C]1.86506846466187[/C][/ROW]
[ROW][C]0.575[/C][C]106.693320987408[/C][C]1.88605446598670[/C][/ROW]
[ROW][C]0.58[/C][C]106.858135466517[/C][C]1.90308095944318[/C][/ROW]
[ROW][C]0.585[/C][C]107.024192330350[/C][C]1.91574955413374[/C][/ROW]
[ROW][C]0.59[/C][C]107.191143030069[/C][C]1.92343329498153[/C][/ROW]
[ROW][C]0.595[/C][C]107.358614794351[/C][C]1.92599420724328[/C][/ROW]
[ROW][C]0.6[/C][C]107.526219518962[/C][C]1.92320474888150[/C][/ROW]
[ROW][C]0.605[/C][C]107.693563487571[/C][C]1.91497597142546[/C][/ROW]
[ROW][C]0.61[/C][C]107.860257558671[/C][C]1.90135875036837[/C][/ROW]
[ROW][C]0.615[/C][C]108.025927414534[/C][C]1.88272731806358[/C][/ROW]
[ROW][C]0.62[/C][C]108.190223447958[/C][C]1.85928008827953[/C][/ROW]
[ROW][C]0.625[/C][C]108.352829863062[/C][C]1.83165042242821[/C][/ROW]
[ROW][C]0.63[/C][C]108.513472588424[/C][C]1.80039746974359[/C][/ROW]
[ROW][C]0.635[/C][C]108.671925643933[/C][C]1.76619023137978[/C][/ROW]
[ROW][C]0.64[/C][C]108.828015665421[/C][C]1.72981894505153[/C][/ROW]
[ROW][C]0.645[/C][C]108.981624370594[/C][C]1.69217884702022[/C][/ROW]
[ROW][C]0.65[/C][C]109.132688842265[/C][C]1.65380689764925[/C][/ROW]
[ROW][C]0.655[/C][C]109.281199606021[/C][C]1.61567353441508[/C][/ROW]
[ROW][C]0.66[/C][C]109.427196583855[/C][C]1.57847103597747[/C][/ROW]
[ROW][C]0.665[/C][C]109.570763107871[/C][C]1.54284532021622[/C][/ROW]
[ROW][C]0.67[/C][C]109.712018273396[/C][C]1.50921923744407[/C][/ROW]
[ROW][C]0.675[/C][C]109.851107993723[/C][C]1.47807355155171[/C][/ROW]
[ROW][C]0.68[/C][C]109.988195184891[/C][C]1.44957401102595[/C][/ROW]
[ROW][C]0.685[/C][C]110.12344955468[/C][C]1.42372049571430[/C][/ROW]
[ROW][C]0.69[/C][C]110.257037492867[/C][C]1.40059273689503[/C][/ROW]
[ROW][C]0.695[/C][C]110.389112558276[/C][C]1.37974955416804[/C][/ROW]
[ROW][C]0.7[/C][C]110.519807032052[/C][C]1.36096961110959[/C][/ROW]
[ROW][C]0.705[/C][C]110.649224956900[/C][C]1.34365427021166[/C][/ROW]
[ROW][C]0.71[/C][C]110.777437011007[/C][C]1.32734531392983[/C][/ROW]
[ROW][C]0.715[/C][C]110.904477476187[/C][C]1.31144877402648[/C][/ROW]
[ROW][C]0.72[/C][C]111.030343456727[/C][C]1.29549678544453[/C][/ROW]
[ROW][C]0.725[/C][C]111.154996393408[/C][C]1.27876061319383[/C][/ROW]
[ROW][C]0.73[/C][C]111.278365801708[/C][C]1.26095195532774[/C][/ROW]
[ROW][C]0.735[/C][C]111.400355050040[/C][C]1.24158444522809[/C][/ROW]
[ROW][C]0.74[/C][C]111.520848888977[/C][C]1.22051817611045[/C][/ROW]
[ROW][C]0.745[/C][C]111.639722351292[/C][C]1.19738139198353[/C][/ROW]
[ROW][C]0.75[/C][C]111.756850570584[/C][C]1.17240325675242[/C][/ROW]
[ROW][C]0.755[/C][C]111.872119017703[/C][C]1.14549763121312[/C][/ROW]
[ROW][C]0.76[/C][C]111.985433632521[/C][C]1.11707296892320[/C][/ROW]
[ROW][C]0.765[/C][C]112.096730336191[/C][C]1.08731971786037[/C][/ROW]
[ROW][C]0.77[/C][C]112.205983446523[/C][C]1.05680920856362[/C][/ROW]
[ROW][C]0.775[/C][C]112.31321258581[/C][C]1.02605289179262[/C][/ROW]
[ROW][C]0.78[/C][C]112.418487763492[/C][C]0.995624281978877[/C][/ROW]
[ROW][C]0.785[/C][C]112.521932431223[/C][C]0.966190193488504[/C][/ROW]
[ROW][C]0.79[/C][C]112.6237244386[/C][C]0.938419985079534[/C][/ROW]
[ROW][C]0.795[/C][C]112.724094956089[/C][C]0.91279156954273[/C][/ROW]
[ROW][C]0.8[/C][C]112.823325567714[/C][C]0.889954564549181[/C][/ROW]
[ROW][C]0.805[/C][C]112.921743859137[/C][C]0.870434072951398[/C][/ROW]
[ROW][C]0.81[/C][C]113.019717925133[/C][C]0.854449440463727[/C][/ROW]
[ROW][C]0.815[/C][C]113.117650282820[/C][C]0.842303878218355[/C][/ROW]
[ROW][C]0.82[/C][C]113.215971692628[/C][C]0.834043502754197[/C][/ROW]
[ROW][C]0.825[/C][C]113.315135349661[/C][C]0.82977512215306[/C][/ROW]
[ROW][C]0.83[/C][C]113.415611808748[/C][C]0.829314787055051[/C][/ROW]
[ROW][C]0.835[/C][C]113.517884847576[/C][C]0.83248906078775[/C][/ROW]
[ROW][C]0.84[/C][C]113.622448260782[/C][C]0.839166554087838[/C][/ROW]
[ROW][C]0.845[/C][C]113.729803329699[/C][C]0.849091145367984[/C][/ROW]
[ROW][C]0.85[/C][C]113.840456453414[/C][C]0.862039605491356[/C][/ROW]
[ROW][C]0.855[/C][C]113.954916194086[/C][C]0.877891446505311[/C][/ROW]
[ROW][C]0.86[/C][C]114.073688831302[/C][C]0.896469352696527[/C][/ROW]
[ROW][C]0.865[/C][C]114.197271494633[/C][C]0.917711876329907[/C][/ROW]
[ROW][C]0.87[/C][C]114.326142114556[/C][C]0.94133856169276[/C][/ROW]
[ROW][C]0.875[/C][C]114.460745863313[/C][C]0.967214445372437[/C][/ROW]
[ROW][C]0.88[/C][C]114.601478503773[/C][C]0.994924335306229[/C][/ROW]
[ROW][C]0.885[/C][C]114.748668159132[/C][C]1.02384589091592[/C][/ROW]
[ROW][C]0.89[/C][C]114.902558457511[/C][C]1.05318836446653[/C][/ROW]
[ROW][C]0.895[/C][C]115.063297742374[/C][C]1.08189312386113[/C][/ROW]
[ROW][C]0.9[/C][C]115.230940959762[/C][C]1.10861054119554[/C][/ROW]
[ROW][C]0.905[/C][C]115.405472752501[/C][C]1.13197423931883[/C][/ROW]
[ROW][C]0.91[/C][C]115.586861942799[/C][C]1.15049516613499[/C][/ROW]
[ROW][C]0.915[/C][C]115.775158593701[/C][C]1.16308328276075[/C][/ROW]
[ROW][C]0.92[/C][C]115.970644664630[/C][C]1.16906444269145[/C][/ROW]
[ROW][C]0.925[/C][C]116.174047074457[/C][C]1.16876309276030[/C][/ROW]
[ROW][C]0.93[/C][C]116.386816379484[/C][C]1.16380092456187[/C][/ROW]
[ROW][C]0.935[/C][C]116.611463023451[/C][C]1.15748411254418[/C][/ROW]
[ROW][C]0.94[/C][C]116.851922839051[/C][C]1.15542199613518[/C][/ROW]
[ROW][C]0.945[/C][C]117.113889789144[/C][C]1.16547573651840[/C][/ROW]
[ROW][C]0.95[/C][C]117.405002733758[/C][C]1.19763994202319[/C][/ROW]
[ROW][C]0.955[/C][C]117.734703998126[/C][C]1.26297939508003[/C][/ROW]
[ROW][C]0.96[/C][C]118.113510957806[/C][C]1.37201118373610[/C][/ROW]
[ROW][C]0.965[/C][C]118.551388538358[/C][C]1.53289072781439[/C][/ROW]
[ROW][C]0.97[/C][C]119.054941926849[/C][C]1.74986507656753[/C][/ROW]
[ROW][C]0.975[/C][C]119.623358980686[/C][C]2.02185479858688[/C][/ROW]
[ROW][C]0.98[/C][C]120.243525763778[/C][C]2.34024527956546[/C][/ROW]
[ROW][C]0.985[/C][C]120.885567647655[/C][C]2.68624574746075[/C][/ROW]
[ROW][C]0.99[/C][C]121.501111916872[/C][C]3.029364947916[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28904&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28904&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
quantilesvaluestandard error
0.0182.04402981421633.83143878521845
0.01582.83867308514683.44910157991247
0.0283.68128594705283.08644780882619
0.02584.515030154282.78769815131631
0.0385.30579755635322.58055033666389
0.03586.03970093876962.47454816767973
0.0486.71720285304382.46165264938709
0.04587.34679788289822.52082004056642
0.0587.93984657607452.62475319270471
0.05588.50710321820522.74691387679275
0.0689.05684105175082.86466116609515
0.06589.59419826186252.96102427153339
0.0790.12131792885973.02470046039923
0.07590.63791849051673.04959623838789
0.0891.14203030109783.03404154658501
0.08591.63072811708872.97978182026247
0.0992.10076359425332.89128568820015
0.09592.54905439535362.77453384552936
0.192.97302085460652.6363941187949
0.10593.3707819345992.48392219804168
0.1193.74123341108262.32360987802485
0.11594.08403581913142.16129968234727
0.1294.3995398683172.00183096099604
0.12594.6886743977891.84904819280192
0.1394.95281771832591.70550180129554
0.13595.1936683063771.57318539205236
0.1495.41312595406461.45289801508541
0.14595.61319009711561.34505317758013
0.1595.7958784060911.24944178504760
0.15595.96316594508331.16566592459374
0.1696.11694326897951.09303851640026
0.16596.25899065929031.03105045834946
0.1796.39096515828470.979084510959081
0.17596.51439700278770.936501490062303
0.1896.6306923356670.902947640626522
0.18596.74113955310670.877948602474049
0.1996.84691722019510.861267166847953
0.19596.94910207258110.852333183691282
0.297.04867615963080.850896439816373
0.20597.14653263896180.856375207351435
0.2197.24348008678240.868454837531504
0.21597.34024544104010.886291090541252
0.2297.437475853270.90933632338093
0.22597.53573980478920.93686912463644
0.2397.63552786103010.968096937574448
0.23597.73725341214761.00254782809798
0.2497.84125369481981.03909456561929
0.24597.94779132291251.07745151723987
0.2598.05705648373681.11653893740204
0.25598.16916988910191.15605785270620
0.2698.28418651054271.19509328446427
0.26598.40210007794121.23321738280629
0.2798.5228482806161.26995884298453
0.27598.64631857913841.30480517542895
0.2898.77235451348881.33723720009398
0.28598.90076237745281.36709562329250
0.2999.03131811931971.39411101673632
0.29599.16377432421421.41788484826422
0.399.29786713330281.43867585931584
0.30599.43332295941521.45605427558912
0.3199.56986486716071.47018693867590
0.31599.7072184982181.48123670284275
0.3299.84511743880991.48923501377044
0.32599.9833079459151.49437697985011
0.33100.1215529707511.49696880893543
0.335100.2596354415321.49717584996746
0.34100.3973607913331.49537649977787
0.345100.5345587399931.49173092598429
0.35100.6710843602141.48662484331790
0.355100.8068184765051.48037067353139
0.36100.9416674607401.47311665125521
0.365101.0755624993281.46539349937945
0.37101.2084584145171.45722216562705
0.375101.3403321260941.44871150216068
0.38101.4711808404291.44039022076664
0.385101.6010200517761.43238094234349
0.39101.7298814368821.42475062120153
0.395101.8578107186831.41768376286116
0.4101.9848655688441.41109817001357
0.405102.1111136124091.40539997456685
0.41102.2366305910491.40055600365501
0.415102.3614987342811.39645371910912
0.42102.4858053804061.39340064027337
0.425102.6096418804301.39118660894960
0.43102.7331028085471.38989144894525
0.435102.8562854916161.38954459738849
0.44102.9792898571481.39014816958801
0.445103.1022185847391.39180921944376
0.45103.2251775297931.39429632969537
0.455103.3482763712861.39785187049643
0.46103.4716294179891.40247461250211
0.465103.5953564909531.4081042400424
0.47103.7195837853301.41501046545288
0.475103.8444446030801.42327555136118
0.48103.9700798409301.43282475205183
0.485104.0966381164251.44404636982341
0.49104.2242754199151.45685351799684
0.495104.3531541925181.47169663447621
0.5104.4834417497881.48831039224282
0.505104.6153079977891.50707220144056
0.51104.7489224218431.52792747020003
0.515104.8844503671521.55093649852011
0.52105.0220486731991.57587040276334
0.525105.1618607681421.60275924485275
0.53105.3040113729051.63128621907940
0.535105.4486010047791.66116333370599
0.54105.5957005043011.69192250119827
0.545105.7453458344661.72314750185391
0.55105.8975334156141.75422619966187
0.555106.0522162607461.78470187648006
0.56106.2093011634301.81368118285990
0.565106.3686471631351.84084163837552
0.57106.530065471381.86506846466187
0.575106.6933209874081.88605446598670
0.58106.8581354665171.90308095944318
0.585107.0241923303501.91574955413374
0.59107.1911430300691.92343329498153
0.595107.3586147943511.92599420724328
0.6107.5262195189621.92320474888150
0.605107.6935634875711.91497597142546
0.61107.8602575586711.90135875036837
0.615108.0259274145341.88272731806358
0.62108.1902234479581.85928008827953
0.625108.3528298630621.83165042242821
0.63108.5134725884241.80039746974359
0.635108.6719256439331.76619023137978
0.64108.8280156654211.72981894505153
0.645108.9816243705941.69217884702022
0.65109.1326888422651.65380689764925
0.655109.2811996060211.61567353441508
0.66109.4271965838551.57847103597747
0.665109.5707631078711.54284532021622
0.67109.7120182733961.50921923744407
0.675109.8511079937231.47807355155171
0.68109.9881951848911.44957401102595
0.685110.123449554681.42372049571430
0.69110.2570374928671.40059273689503
0.695110.3891125582761.37974955416804
0.7110.5198070320521.36096961110959
0.705110.6492249569001.34365427021166
0.71110.7774370110071.32734531392983
0.715110.9044774761871.31144877402648
0.72111.0303434567271.29549678544453
0.725111.1549963934081.27876061319383
0.73111.2783658017081.26095195532774
0.735111.4003550500401.24158444522809
0.74111.5208488889771.22051817611045
0.745111.6397223512921.19738139198353
0.75111.7568505705841.17240325675242
0.755111.8721190177031.14549763121312
0.76111.9854336325211.11707296892320
0.765112.0967303361911.08731971786037
0.77112.2059834465231.05680920856362
0.775112.313212585811.02605289179262
0.78112.4184877634920.995624281978877
0.785112.5219324312230.966190193488504
0.79112.62372443860.938419985079534
0.795112.7240949560890.91279156954273
0.8112.8233255677140.889954564549181
0.805112.9217438591370.870434072951398
0.81113.0197179251330.854449440463727
0.815113.1176502828200.842303878218355
0.82113.2159716926280.834043502754197
0.825113.3151353496610.82977512215306
0.83113.4156118087480.829314787055051
0.835113.5178848475760.83248906078775
0.84113.6224482607820.839166554087838
0.845113.7298033296990.849091145367984
0.85113.8404564534140.862039605491356
0.855113.9549161940860.877891446505311
0.86114.0736888313020.896469352696527
0.865114.1972714946330.917711876329907
0.87114.3261421145560.94133856169276
0.875114.4607458633130.967214445372437
0.88114.6014785037730.994924335306229
0.885114.7486681591321.02384589091592
0.89114.9025584575111.05318836446653
0.895115.0632977423741.08189312386113
0.9115.2309409597621.10861054119554
0.905115.4054727525011.13197423931883
0.91115.5868619427991.15049516613499
0.915115.7751585937011.16308328276075
0.92115.9706446646301.16906444269145
0.925116.1740470744571.16876309276030
0.93116.3868163794841.16380092456187
0.935116.6114630234511.15748411254418
0.94116.8519228390511.15542199613518
0.945117.1138897891441.16547573651840
0.95117.4050027337581.19763994202319
0.955117.7347039981261.26297939508003
0.96118.1135109578061.37201118373610
0.965118.5513885383581.53289072781439
0.97119.0549419268491.74986507656753
0.975119.6233589806862.02185479858688
0.98120.2435257637782.34024527956546
0.985120.8855676476552.68624574746075
0.99121.5011119168723.029364947916



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')