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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 05 Dec 2008 03:08:41 -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/05/t1228471749frssjhhdkufyjp6.htm/, Retrieved Thu, 16 May 2024 14:38:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29123, Retrieved Thu, 16 May 2024 14:38:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Run sequence plot...] [2008-12-02 21:55:47] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMP     [Harrell-Davis Quantiles] [Quantielen van pr...] [2008-12-05 10:08:41] [a8228479d4547a92e2d3f176a5299609] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
44.9
48.1
52.3
48.9
52.6
60.3
50.5
41.6
56
51.4
52.9
54.9
43.9
51
51.9
54.3
50.3
57.2
48.8
41.1
58
63
53.8
54.7
55.5
56.1
69.6
69.4
57.2
68
53.3
47.9
60.8
61.7
57.8
51.4
50.5
48.1
58.7
54
56.1
60.4
51.2
50.7
56.4
53.3
52.6
47.7
49.5
48.5
55.3
49.8
57.4
64.6
53
41.5
55.9
58.4
53.5
50.6
58.5

Tables (Output of Computation)





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=29123&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=29123&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29123&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.00541.15383623709490.411312727702149
0.0141.24143293346640.470477479030229
0.01541.36414961335490.589044822628222
0.0241.52258654701450.764935709827282
0.02541.71689948353010.981767742568139
0.0341.94666606704631.21927695542796
0.03542.21056114254331.45817408902450
0.0442.50607329429741.682000505355
0.04542.82939932318531.87795853954658
0.0543.17555187581912.03733430368363
0.05543.53864287947052.15511933974768
0.0643.91227063321572.22972504551566
0.06544.28993468568332.26213487133705
0.0744.66541765805742.25538490449844
0.07545.03309534449532.21387778822395
0.0845.38815772088772.14291226699903
0.08545.72673984356712.04836860241315
0.0946.04597199260811.93622652786223
0.09546.34396357560741.8124705252613
0.146.61973674376671.68270492278381
0.10546.87312488141811.55220842323652
0.1147.10464927483641.42550992137674
0.11547.31538508510581.30643703584586
0.1247.50682562113231.19803997356750
0.12547.68075196912591.10254312419059
0.1347.83911329504981.02125337670952
0.13547.98392156717520.954684709188706
0.1448.11716302446080.90255452866563
0.14548.24072744379050.86377767867714
0.1548.35635515582220.836831544573345
0.15548.46560085352050.819912525945161
0.1648.56981255214980.810945551737684
0.16548.67012360288730.807865581771901
0.1748.76745542454250.80892312526672
0.17548.86252857282270.812524318996811
0.1848.9558798759280.817248276711865
0.18549.04788358502060.822080774728416
0.1949.13877477456220.826081497581876
0.19549.22867354185920.828580444413478
0.249.31760886657170.829206875520502
0.20549.40554127776270.827595258756936
0.2149.49238372553130.823633325619445
0.21549.57802026124920.817403308823422
0.2249.66232229551840.808953131677168
0.22549.74516233058990.798526192038571
0.2349.82642516044490.786455624568177
0.23549.90601660383710.77312486161159
0.2449.98386988953880.758874708084323
0.24550.05994985384310.744184964707302
0.2550.13425514166410.729524157936947
0.25550.2068186265910.715343811924028
0.2650.27770628311140.70197684242722
0.26550.34701475625520.689966290191863
0.2750.41486788003180.679474927901782
0.27550.48141239600310.67080784022745
0.2850.54681311705930.664214933358222
0.28550.61124776912430.659820222799567
0.2950.67490172562640.657540294442675
0.29550.73796282699740.65751795646152
0.350.80061645133970.659521830955492
0.30550.86304097402860.663528597560279
0.3150.92540372474930.669319239843652
0.31550.98785752159520.676558925961303
0.3251.05053783448580.68515872433167
0.32551.11356060520350.694768399437768
0.3351.17702072937950.705076827448104
0.33551.24099118712630.715845425971763
0.3451.30552279375330.726780651511911
0.34551.37064452996070.737630774996734
0.3551.43636440175290.748228036857357
0.35551.50267077361310.758231228001696
0.3651.56953411378640.767467020552703
0.36551.6369090873790.77587706316251
0.3751.70473693103120.783187204027415
0.37551.77294804187650.789363686866496
0.3851.84146471318790.794292059585195
0.38551.9102039494640.797963620330277
0.3951.97908029474160.800374027011755
0.39552.04800860970670.801591261982213
0.452.11690673583810.80156041914499
0.40552.1856979884580.800478079310357
0.4152.25431342527010.798455173154105
0.41552.32269384277690.795638105873115
0.4252.39079145985290.792117181912433
0.42552.45857125561090.788191723116705
0.4352.52601193736810.783963072933533
0.43552.59310652376790.779711151293341
0.4452.65986253767870.775594969019931
0.44552.72630181306680.771781486043507
0.4552.7924599293390.768503768295715
0.45552.85838529537870.765914022983676
0.4652.92413791340780.764180233908577
0.46552.98978785969230.763447491292956
0.4753.0554135248150.763808199283803
0.47553.12109966067490.765238270087264
0.4853.18693528450450.76792032048173
0.48553.25301149203060.771731994721848
0.4953.31941923251950.776762290987534
0.49553.38624709791780.782919928135416
0.553.45357917675770.790081210184036
0.50553.52149302106450.798145071474703
0.5153.59005777130890.807057833586534
0.51553.65933248061560.816590984283408
0.5253.7293646750720.826574447633882
0.52553.80018918216770.836856865706832
0.5353.87182725418930.847171256936659
0.53553.94428600785420.857443319396572
0.5454.0175581955910.867395178260114
0.54554.09162231768430.876881444319023
0.5554.1664430779970.88566615059088
0.55554.24197217914350.893630292425347
0.5654.31814944584890.900618549555841
0.56554.39490425779750.906519941481881
0.5754.47215726562950.911215618748836
0.57554.54982235597370.91463596227016
0.5854.62780882368140.916634011966158
0.58554.70602370194170.917311195297912
0.5954.78437419399490.916640832985375
0.59554.86277014403290.914607581763527
0.654.94112647995380.91139743058266
0.60555.01936555731770.907017349496242
0.6155.09741933253950.901626743511146
0.61555.17523129442910.895426483852592
0.6255.25275808699180.88853849219675
0.62555.32997076316230.881154701479345
0.6355.40685561899090.873509295975721
0.63555.48341457069780.86586433889024
0.6455.55966505273730.858370059872922
0.64555.63563943316490.851324845033027
0.6555.71138396256930.84483843998854
0.65555.78695729382130.8390954585494
0.6655.86242863095480.834240885243693
0.66555.93787558556790.830414764261064
0.6756.01338183708780.827641809927264
0.67556.08903470796570.825964120799272
0.6856.16492277531730.825388404208482
0.68556.24113364580280.825762221446784
0.6956.31775201995780.827084075988703
0.69556.3948581653170.829165322203536
0.756.47252690437320.831895740608549
0.70556.55082720386380.835167840890947
0.7156.62982242655460.838801340194552
0.71556.70957127639160.84265533411977
0.7256.7901294336580.846636111182356
0.72556.87155183992560.850621553123832
0.7356.95389555464840.854674656034884
0.73557.03722306793360.858750028307995
0.7457.12160591928020.862927385056302
0.74557.20712844197110.867339524670915
0.7557.29389142964220.872141545992746
0.75557.38201550771770.877516853405245
0.7657.47164399039980.883767320982863
0.76557.56294501616280.891149925323513
0.7757.6561127834530.899992131362455
0.77557.75136775523760.91055569788202
0.7857.8489557670630.92316067635637
0.78557.94914605801420.938060044422897
0.7958.05222834540180.955425327999547
0.79558.15850917812790.975342440531471
0.858.26830792421540.997871403888384
0.80558.38195286633951.02293901344348
0.8158.49977798469521.05035629769393
0.81558.62212108694111.07989846196071
0.8258.7493239873411.11126455884349
0.82558.88173542906491.14411819535320
0.8359.01971737402231.17810982855801
0.83559.16365514553421.21297453102823
0.8459.31397169621341.24859469229733
0.84559.47114598624681.28496323735927
0.8559.63573509908771.32225703708394
0.85559.8083992981521.36097258732905
0.8659.98992874617271.40176518513381
0.86560.18127007457791.44564885718320
0.8760.38355040860881.49381452988989
0.87560.59809583022731.54755176280515
0.8860.8264406054791.60837649584899
0.88561.07032283994571.67765038617034
0.8961.33166160611711.75654255914126
0.89561.61251010363911.84593407477494
0.961.91497922028841.94608176699715
0.90562.24112618117862.05656327295274
0.9162.59280409834652.17596261472289
0.91562.97147050203162.30166168363173
0.9263.37795668447012.42968381684313
0.92563.81220516258132.55440636766282
0.9364.27298980114152.66858992569684
0.93564.75764180609332.76327779166304
0.9465.26181406009262.82829384580863
0.94565.77932466689362.85262284006462
0.9566.30212600012392.82550544429204
0.95566.82044545076532.73755455122731
0.9667.32313583126382.5823833715946
0.96567.79825510511322.35822695283989
0.9768.23386651140882.06955981806924
0.97568.61901362720361.72848428160608
0.9868.94478599195151.35533641229580
0.98569.20535766517150.978476857639159
0.9969.39886170676670.632831641401604
0.99569.527962366090.358026891737892

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 41.1538362370949 & 0.411312727702149 \tabularnewline
0.01 & 41.2414329334664 & 0.470477479030229 \tabularnewline
0.015 & 41.3641496133549 & 0.589044822628222 \tabularnewline
0.02 & 41.5225865470145 & 0.764935709827282 \tabularnewline
0.025 & 41.7168994835301 & 0.981767742568139 \tabularnewline
0.03 & 41.9466660670463 & 1.21927695542796 \tabularnewline
0.035 & 42.2105611425433 & 1.45817408902450 \tabularnewline
0.04 & 42.5060732942974 & 1.682000505355 \tabularnewline
0.045 & 42.8293993231853 & 1.87795853954658 \tabularnewline
0.05 & 43.1755518758191 & 2.03733430368363 \tabularnewline
0.055 & 43.5386428794705 & 2.15511933974768 \tabularnewline
0.06 & 43.9122706332157 & 2.22972504551566 \tabularnewline
0.065 & 44.2899346856833 & 2.26213487133705 \tabularnewline
0.07 & 44.6654176580574 & 2.25538490449844 \tabularnewline
0.075 & 45.0330953444953 & 2.21387778822395 \tabularnewline
0.08 & 45.3881577208877 & 2.14291226699903 \tabularnewline
0.085 & 45.7267398435671 & 2.04836860241315 \tabularnewline
0.09 & 46.0459719926081 & 1.93622652786223 \tabularnewline
0.095 & 46.3439635756074 & 1.8124705252613 \tabularnewline
0.1 & 46.6197367437667 & 1.68270492278381 \tabularnewline
0.105 & 46.8731248814181 & 1.55220842323652 \tabularnewline
0.11 & 47.1046492748364 & 1.42550992137674 \tabularnewline
0.115 & 47.3153850851058 & 1.30643703584586 \tabularnewline
0.12 & 47.5068256211323 & 1.19803997356750 \tabularnewline
0.125 & 47.6807519691259 & 1.10254312419059 \tabularnewline
0.13 & 47.8391132950498 & 1.02125337670952 \tabularnewline
0.135 & 47.9839215671752 & 0.954684709188706 \tabularnewline
0.14 & 48.1171630244608 & 0.90255452866563 \tabularnewline
0.145 & 48.2407274437905 & 0.86377767867714 \tabularnewline
0.15 & 48.3563551558222 & 0.836831544573345 \tabularnewline
0.155 & 48.4656008535205 & 0.819912525945161 \tabularnewline
0.16 & 48.5698125521498 & 0.810945551737684 \tabularnewline
0.165 & 48.6701236028873 & 0.807865581771901 \tabularnewline
0.17 & 48.7674554245425 & 0.80892312526672 \tabularnewline
0.175 & 48.8625285728227 & 0.812524318996811 \tabularnewline
0.18 & 48.955879875928 & 0.817248276711865 \tabularnewline
0.185 & 49.0478835850206 & 0.822080774728416 \tabularnewline
0.19 & 49.1387747745622 & 0.826081497581876 \tabularnewline
0.195 & 49.2286735418592 & 0.828580444413478 \tabularnewline
0.2 & 49.3176088665717 & 0.829206875520502 \tabularnewline
0.205 & 49.4055412777627 & 0.827595258756936 \tabularnewline
0.21 & 49.4923837255313 & 0.823633325619445 \tabularnewline
0.215 & 49.5780202612492 & 0.817403308823422 \tabularnewline
0.22 & 49.6623222955184 & 0.808953131677168 \tabularnewline
0.225 & 49.7451623305899 & 0.798526192038571 \tabularnewline
0.23 & 49.8264251604449 & 0.786455624568177 \tabularnewline
0.235 & 49.9060166038371 & 0.77312486161159 \tabularnewline
0.24 & 49.9838698895388 & 0.758874708084323 \tabularnewline
0.245 & 50.0599498538431 & 0.744184964707302 \tabularnewline
0.25 & 50.1342551416641 & 0.729524157936947 \tabularnewline
0.255 & 50.206818626591 & 0.715343811924028 \tabularnewline
0.26 & 50.2777062831114 & 0.70197684242722 \tabularnewline
0.265 & 50.3470147562552 & 0.689966290191863 \tabularnewline
0.27 & 50.4148678800318 & 0.679474927901782 \tabularnewline
0.275 & 50.4814123960031 & 0.67080784022745 \tabularnewline
0.28 & 50.5468131170593 & 0.664214933358222 \tabularnewline
0.285 & 50.6112477691243 & 0.659820222799567 \tabularnewline
0.29 & 50.6749017256264 & 0.657540294442675 \tabularnewline
0.295 & 50.7379628269974 & 0.65751795646152 \tabularnewline
0.3 & 50.8006164513397 & 0.659521830955492 \tabularnewline
0.305 & 50.8630409740286 & 0.663528597560279 \tabularnewline
0.31 & 50.9254037247493 & 0.669319239843652 \tabularnewline
0.315 & 50.9878575215952 & 0.676558925961303 \tabularnewline
0.32 & 51.0505378344858 & 0.68515872433167 \tabularnewline
0.325 & 51.1135606052035 & 0.694768399437768 \tabularnewline
0.33 & 51.1770207293795 & 0.705076827448104 \tabularnewline
0.335 & 51.2409911871263 & 0.715845425971763 \tabularnewline
0.34 & 51.3055227937533 & 0.726780651511911 \tabularnewline
0.345 & 51.3706445299607 & 0.737630774996734 \tabularnewline
0.35 & 51.4363644017529 & 0.748228036857357 \tabularnewline
0.355 & 51.5026707736131 & 0.758231228001696 \tabularnewline
0.36 & 51.5695341137864 & 0.767467020552703 \tabularnewline
0.365 & 51.636909087379 & 0.77587706316251 \tabularnewline
0.37 & 51.7047369310312 & 0.783187204027415 \tabularnewline
0.375 & 51.7729480418765 & 0.789363686866496 \tabularnewline
0.38 & 51.8414647131879 & 0.794292059585195 \tabularnewline
0.385 & 51.910203949464 & 0.797963620330277 \tabularnewline
0.39 & 51.9790802947416 & 0.800374027011755 \tabularnewline
0.395 & 52.0480086097067 & 0.801591261982213 \tabularnewline
0.4 & 52.1169067358381 & 0.80156041914499 \tabularnewline
0.405 & 52.185697988458 & 0.800478079310357 \tabularnewline
0.41 & 52.2543134252701 & 0.798455173154105 \tabularnewline
0.415 & 52.3226938427769 & 0.795638105873115 \tabularnewline
0.42 & 52.3907914598529 & 0.792117181912433 \tabularnewline
0.425 & 52.4585712556109 & 0.788191723116705 \tabularnewline
0.43 & 52.5260119373681 & 0.783963072933533 \tabularnewline
0.435 & 52.5931065237679 & 0.779711151293341 \tabularnewline
0.44 & 52.6598625376787 & 0.775594969019931 \tabularnewline
0.445 & 52.7263018130668 & 0.771781486043507 \tabularnewline
0.45 & 52.792459929339 & 0.768503768295715 \tabularnewline
0.455 & 52.8583852953787 & 0.765914022983676 \tabularnewline
0.46 & 52.9241379134078 & 0.764180233908577 \tabularnewline
0.465 & 52.9897878596923 & 0.763447491292956 \tabularnewline
0.47 & 53.055413524815 & 0.763808199283803 \tabularnewline
0.475 & 53.1210996606749 & 0.765238270087264 \tabularnewline
0.48 & 53.1869352845045 & 0.76792032048173 \tabularnewline
0.485 & 53.2530114920306 & 0.771731994721848 \tabularnewline
0.49 & 53.3194192325195 & 0.776762290987534 \tabularnewline
0.495 & 53.3862470979178 & 0.782919928135416 \tabularnewline
0.5 & 53.4535791767577 & 0.790081210184036 \tabularnewline
0.505 & 53.5214930210645 & 0.798145071474703 \tabularnewline
0.51 & 53.5900577713089 & 0.807057833586534 \tabularnewline
0.515 & 53.6593324806156 & 0.816590984283408 \tabularnewline
0.52 & 53.729364675072 & 0.826574447633882 \tabularnewline
0.525 & 53.8001891821677 & 0.836856865706832 \tabularnewline
0.53 & 53.8718272541893 & 0.847171256936659 \tabularnewline
0.535 & 53.9442860078542 & 0.857443319396572 \tabularnewline
0.54 & 54.017558195591 & 0.867395178260114 \tabularnewline
0.545 & 54.0916223176843 & 0.876881444319023 \tabularnewline
0.55 & 54.166443077997 & 0.88566615059088 \tabularnewline
0.555 & 54.2419721791435 & 0.893630292425347 \tabularnewline
0.56 & 54.3181494458489 & 0.900618549555841 \tabularnewline
0.565 & 54.3949042577975 & 0.906519941481881 \tabularnewline
0.57 & 54.4721572656295 & 0.911215618748836 \tabularnewline
0.575 & 54.5498223559737 & 0.91463596227016 \tabularnewline
0.58 & 54.6278088236814 & 0.916634011966158 \tabularnewline
0.585 & 54.7060237019417 & 0.917311195297912 \tabularnewline
0.59 & 54.7843741939949 & 0.916640832985375 \tabularnewline
0.595 & 54.8627701440329 & 0.914607581763527 \tabularnewline
0.6 & 54.9411264799538 & 0.91139743058266 \tabularnewline
0.605 & 55.0193655573177 & 0.907017349496242 \tabularnewline
0.61 & 55.0974193325395 & 0.901626743511146 \tabularnewline
0.615 & 55.1752312944291 & 0.895426483852592 \tabularnewline
0.62 & 55.2527580869918 & 0.88853849219675 \tabularnewline
0.625 & 55.3299707631623 & 0.881154701479345 \tabularnewline
0.63 & 55.4068556189909 & 0.873509295975721 \tabularnewline
0.635 & 55.4834145706978 & 0.86586433889024 \tabularnewline
0.64 & 55.5596650527373 & 0.858370059872922 \tabularnewline
0.645 & 55.6356394331649 & 0.851324845033027 \tabularnewline
0.65 & 55.7113839625693 & 0.84483843998854 \tabularnewline
0.655 & 55.7869572938213 & 0.8390954585494 \tabularnewline
0.66 & 55.8624286309548 & 0.834240885243693 \tabularnewline
0.665 & 55.9378755855679 & 0.830414764261064 \tabularnewline
0.67 & 56.0133818370878 & 0.827641809927264 \tabularnewline
0.675 & 56.0890347079657 & 0.825964120799272 \tabularnewline
0.68 & 56.1649227753173 & 0.825388404208482 \tabularnewline
0.685 & 56.2411336458028 & 0.825762221446784 \tabularnewline
0.69 & 56.3177520199578 & 0.827084075988703 \tabularnewline
0.695 & 56.394858165317 & 0.829165322203536 \tabularnewline
0.7 & 56.4725269043732 & 0.831895740608549 \tabularnewline
0.705 & 56.5508272038638 & 0.835167840890947 \tabularnewline
0.71 & 56.6298224265546 & 0.838801340194552 \tabularnewline
0.715 & 56.7095712763916 & 0.84265533411977 \tabularnewline
0.72 & 56.790129433658 & 0.846636111182356 \tabularnewline
0.725 & 56.8715518399256 & 0.850621553123832 \tabularnewline
0.73 & 56.9538955546484 & 0.854674656034884 \tabularnewline
0.735 & 57.0372230679336 & 0.858750028307995 \tabularnewline
0.74 & 57.1216059192802 & 0.862927385056302 \tabularnewline
0.745 & 57.2071284419711 & 0.867339524670915 \tabularnewline
0.75 & 57.2938914296422 & 0.872141545992746 \tabularnewline
0.755 & 57.3820155077177 & 0.877516853405245 \tabularnewline
0.76 & 57.4716439903998 & 0.883767320982863 \tabularnewline
0.765 & 57.5629450161628 & 0.891149925323513 \tabularnewline
0.77 & 57.656112783453 & 0.899992131362455 \tabularnewline
0.775 & 57.7513677552376 & 0.91055569788202 \tabularnewline
0.78 & 57.848955767063 & 0.92316067635637 \tabularnewline
0.785 & 57.9491460580142 & 0.938060044422897 \tabularnewline
0.79 & 58.0522283454018 & 0.955425327999547 \tabularnewline
0.795 & 58.1585091781279 & 0.975342440531471 \tabularnewline
0.8 & 58.2683079242154 & 0.997871403888384 \tabularnewline
0.805 & 58.3819528663395 & 1.02293901344348 \tabularnewline
0.81 & 58.4997779846952 & 1.05035629769393 \tabularnewline
0.815 & 58.6221210869411 & 1.07989846196071 \tabularnewline
0.82 & 58.749323987341 & 1.11126455884349 \tabularnewline
0.825 & 58.8817354290649 & 1.14411819535320 \tabularnewline
0.83 & 59.0197173740223 & 1.17810982855801 \tabularnewline
0.835 & 59.1636551455342 & 1.21297453102823 \tabularnewline
0.84 & 59.3139716962134 & 1.24859469229733 \tabularnewline
0.845 & 59.4711459862468 & 1.28496323735927 \tabularnewline
0.85 & 59.6357350990877 & 1.32225703708394 \tabularnewline
0.855 & 59.808399298152 & 1.36097258732905 \tabularnewline
0.86 & 59.9899287461727 & 1.40176518513381 \tabularnewline
0.865 & 60.1812700745779 & 1.44564885718320 \tabularnewline
0.87 & 60.3835504086088 & 1.49381452988989 \tabularnewline
0.875 & 60.5980958302273 & 1.54755176280515 \tabularnewline
0.88 & 60.826440605479 & 1.60837649584899 \tabularnewline
0.885 & 61.0703228399457 & 1.67765038617034 \tabularnewline
0.89 & 61.3316616061171 & 1.75654255914126 \tabularnewline
0.895 & 61.6125101036391 & 1.84593407477494 \tabularnewline
0.9 & 61.9149792202884 & 1.94608176699715 \tabularnewline
0.905 & 62.2411261811786 & 2.05656327295274 \tabularnewline
0.91 & 62.5928040983465 & 2.17596261472289 \tabularnewline
0.915 & 62.9714705020316 & 2.30166168363173 \tabularnewline
0.92 & 63.3779566844701 & 2.42968381684313 \tabularnewline
0.925 & 63.8122051625813 & 2.55440636766282 \tabularnewline
0.93 & 64.2729898011415 & 2.66858992569684 \tabularnewline
0.935 & 64.7576418060933 & 2.76327779166304 \tabularnewline
0.94 & 65.2618140600926 & 2.82829384580863 \tabularnewline
0.945 & 65.7793246668936 & 2.85262284006462 \tabularnewline
0.95 & 66.3021260001239 & 2.82550544429204 \tabularnewline
0.955 & 66.8204454507653 & 2.73755455122731 \tabularnewline
0.96 & 67.3231358312638 & 2.5823833715946 \tabularnewline
0.965 & 67.7982551051132 & 2.35822695283989 \tabularnewline
0.97 & 68.2338665114088 & 2.06955981806924 \tabularnewline
0.975 & 68.6190136272036 & 1.72848428160608 \tabularnewline
0.98 & 68.9447859919515 & 1.35533641229580 \tabularnewline
0.985 & 69.2053576651715 & 0.978476857639159 \tabularnewline
0.99 & 69.3988617067667 & 0.632831641401604 \tabularnewline
0.995 & 69.52796236609 & 0.358026891737892 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29123&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]41.1538362370949[/C][C]0.411312727702149[/C][/ROW]
[ROW][C]0.01[/C][C]41.2414329334664[/C][C]0.470477479030229[/C][/ROW]
[ROW][C]0.015[/C][C]41.3641496133549[/C][C]0.589044822628222[/C][/ROW]
[ROW][C]0.02[/C][C]41.5225865470145[/C][C]0.764935709827282[/C][/ROW]
[ROW][C]0.025[/C][C]41.7168994835301[/C][C]0.981767742568139[/C][/ROW]
[ROW][C]0.03[/C][C]41.9466660670463[/C][C]1.21927695542796[/C][/ROW]
[ROW][C]0.035[/C][C]42.2105611425433[/C][C]1.45817408902450[/C][/ROW]
[ROW][C]0.04[/C][C]42.5060732942974[/C][C]1.682000505355[/C][/ROW]
[ROW][C]0.045[/C][C]42.8293993231853[/C][C]1.87795853954658[/C][/ROW]
[ROW][C]0.05[/C][C]43.1755518758191[/C][C]2.03733430368363[/C][/ROW]
[ROW][C]0.055[/C][C]43.5386428794705[/C][C]2.15511933974768[/C][/ROW]
[ROW][C]0.06[/C][C]43.9122706332157[/C][C]2.22972504551566[/C][/ROW]
[ROW][C]0.065[/C][C]44.2899346856833[/C][C]2.26213487133705[/C][/ROW]
[ROW][C]0.07[/C][C]44.6654176580574[/C][C]2.25538490449844[/C][/ROW]
[ROW][C]0.075[/C][C]45.0330953444953[/C][C]2.21387778822395[/C][/ROW]
[ROW][C]0.08[/C][C]45.3881577208877[/C][C]2.14291226699903[/C][/ROW]
[ROW][C]0.085[/C][C]45.7267398435671[/C][C]2.04836860241315[/C][/ROW]
[ROW][C]0.09[/C][C]46.0459719926081[/C][C]1.93622652786223[/C][/ROW]
[ROW][C]0.095[/C][C]46.3439635756074[/C][C]1.8124705252613[/C][/ROW]
[ROW][C]0.1[/C][C]46.6197367437667[/C][C]1.68270492278381[/C][/ROW]
[ROW][C]0.105[/C][C]46.8731248814181[/C][C]1.55220842323652[/C][/ROW]
[ROW][C]0.11[/C][C]47.1046492748364[/C][C]1.42550992137674[/C][/ROW]
[ROW][C]0.115[/C][C]47.3153850851058[/C][C]1.30643703584586[/C][/ROW]
[ROW][C]0.12[/C][C]47.5068256211323[/C][C]1.19803997356750[/C][/ROW]
[ROW][C]0.125[/C][C]47.6807519691259[/C][C]1.10254312419059[/C][/ROW]
[ROW][C]0.13[/C][C]47.8391132950498[/C][C]1.02125337670952[/C][/ROW]
[ROW][C]0.135[/C][C]47.9839215671752[/C][C]0.954684709188706[/C][/ROW]
[ROW][C]0.14[/C][C]48.1171630244608[/C][C]0.90255452866563[/C][/ROW]
[ROW][C]0.145[/C][C]48.2407274437905[/C][C]0.86377767867714[/C][/ROW]
[ROW][C]0.15[/C][C]48.3563551558222[/C][C]0.836831544573345[/C][/ROW]
[ROW][C]0.155[/C][C]48.4656008535205[/C][C]0.819912525945161[/C][/ROW]
[ROW][C]0.16[/C][C]48.5698125521498[/C][C]0.810945551737684[/C][/ROW]
[ROW][C]0.165[/C][C]48.6701236028873[/C][C]0.807865581771901[/C][/ROW]
[ROW][C]0.17[/C][C]48.7674554245425[/C][C]0.80892312526672[/C][/ROW]
[ROW][C]0.175[/C][C]48.8625285728227[/C][C]0.812524318996811[/C][/ROW]
[ROW][C]0.18[/C][C]48.955879875928[/C][C]0.817248276711865[/C][/ROW]
[ROW][C]0.185[/C][C]49.0478835850206[/C][C]0.822080774728416[/C][/ROW]
[ROW][C]0.19[/C][C]49.1387747745622[/C][C]0.826081497581876[/C][/ROW]
[ROW][C]0.195[/C][C]49.2286735418592[/C][C]0.828580444413478[/C][/ROW]
[ROW][C]0.2[/C][C]49.3176088665717[/C][C]0.829206875520502[/C][/ROW]
[ROW][C]0.205[/C][C]49.4055412777627[/C][C]0.827595258756936[/C][/ROW]
[ROW][C]0.21[/C][C]49.4923837255313[/C][C]0.823633325619445[/C][/ROW]
[ROW][C]0.215[/C][C]49.5780202612492[/C][C]0.817403308823422[/C][/ROW]
[ROW][C]0.22[/C][C]49.6623222955184[/C][C]0.808953131677168[/C][/ROW]
[ROW][C]0.225[/C][C]49.7451623305899[/C][C]0.798526192038571[/C][/ROW]
[ROW][C]0.23[/C][C]49.8264251604449[/C][C]0.786455624568177[/C][/ROW]
[ROW][C]0.235[/C][C]49.9060166038371[/C][C]0.77312486161159[/C][/ROW]
[ROW][C]0.24[/C][C]49.9838698895388[/C][C]0.758874708084323[/C][/ROW]
[ROW][C]0.245[/C][C]50.0599498538431[/C][C]0.744184964707302[/C][/ROW]
[ROW][C]0.25[/C][C]50.1342551416641[/C][C]0.729524157936947[/C][/ROW]
[ROW][C]0.255[/C][C]50.206818626591[/C][C]0.715343811924028[/C][/ROW]
[ROW][C]0.26[/C][C]50.2777062831114[/C][C]0.70197684242722[/C][/ROW]
[ROW][C]0.265[/C][C]50.3470147562552[/C][C]0.689966290191863[/C][/ROW]
[ROW][C]0.27[/C][C]50.4148678800318[/C][C]0.679474927901782[/C][/ROW]
[ROW][C]0.275[/C][C]50.4814123960031[/C][C]0.67080784022745[/C][/ROW]
[ROW][C]0.28[/C][C]50.5468131170593[/C][C]0.664214933358222[/C][/ROW]
[ROW][C]0.285[/C][C]50.6112477691243[/C][C]0.659820222799567[/C][/ROW]
[ROW][C]0.29[/C][C]50.6749017256264[/C][C]0.657540294442675[/C][/ROW]
[ROW][C]0.295[/C][C]50.7379628269974[/C][C]0.65751795646152[/C][/ROW]
[ROW][C]0.3[/C][C]50.8006164513397[/C][C]0.659521830955492[/C][/ROW]
[ROW][C]0.305[/C][C]50.8630409740286[/C][C]0.663528597560279[/C][/ROW]
[ROW][C]0.31[/C][C]50.9254037247493[/C][C]0.669319239843652[/C][/ROW]
[ROW][C]0.315[/C][C]50.9878575215952[/C][C]0.676558925961303[/C][/ROW]
[ROW][C]0.32[/C][C]51.0505378344858[/C][C]0.68515872433167[/C][/ROW]
[ROW][C]0.325[/C][C]51.1135606052035[/C][C]0.694768399437768[/C][/ROW]
[ROW][C]0.33[/C][C]51.1770207293795[/C][C]0.705076827448104[/C][/ROW]
[ROW][C]0.335[/C][C]51.2409911871263[/C][C]0.715845425971763[/C][/ROW]
[ROW][C]0.34[/C][C]51.3055227937533[/C][C]0.726780651511911[/C][/ROW]
[ROW][C]0.345[/C][C]51.3706445299607[/C][C]0.737630774996734[/C][/ROW]
[ROW][C]0.35[/C][C]51.4363644017529[/C][C]0.748228036857357[/C][/ROW]
[ROW][C]0.355[/C][C]51.5026707736131[/C][C]0.758231228001696[/C][/ROW]
[ROW][C]0.36[/C][C]51.5695341137864[/C][C]0.767467020552703[/C][/ROW]
[ROW][C]0.365[/C][C]51.636909087379[/C][C]0.77587706316251[/C][/ROW]
[ROW][C]0.37[/C][C]51.7047369310312[/C][C]0.783187204027415[/C][/ROW]
[ROW][C]0.375[/C][C]51.7729480418765[/C][C]0.789363686866496[/C][/ROW]
[ROW][C]0.38[/C][C]51.8414647131879[/C][C]0.794292059585195[/C][/ROW]
[ROW][C]0.385[/C][C]51.910203949464[/C][C]0.797963620330277[/C][/ROW]
[ROW][C]0.39[/C][C]51.9790802947416[/C][C]0.800374027011755[/C][/ROW]
[ROW][C]0.395[/C][C]52.0480086097067[/C][C]0.801591261982213[/C][/ROW]
[ROW][C]0.4[/C][C]52.1169067358381[/C][C]0.80156041914499[/C][/ROW]
[ROW][C]0.405[/C][C]52.185697988458[/C][C]0.800478079310357[/C][/ROW]
[ROW][C]0.41[/C][C]52.2543134252701[/C][C]0.798455173154105[/C][/ROW]
[ROW][C]0.415[/C][C]52.3226938427769[/C][C]0.795638105873115[/C][/ROW]
[ROW][C]0.42[/C][C]52.3907914598529[/C][C]0.792117181912433[/C][/ROW]
[ROW][C]0.425[/C][C]52.4585712556109[/C][C]0.788191723116705[/C][/ROW]
[ROW][C]0.43[/C][C]52.5260119373681[/C][C]0.783963072933533[/C][/ROW]
[ROW][C]0.435[/C][C]52.5931065237679[/C][C]0.779711151293341[/C][/ROW]
[ROW][C]0.44[/C][C]52.6598625376787[/C][C]0.775594969019931[/C][/ROW]
[ROW][C]0.445[/C][C]52.7263018130668[/C][C]0.771781486043507[/C][/ROW]
[ROW][C]0.45[/C][C]52.792459929339[/C][C]0.768503768295715[/C][/ROW]
[ROW][C]0.455[/C][C]52.8583852953787[/C][C]0.765914022983676[/C][/ROW]
[ROW][C]0.46[/C][C]52.9241379134078[/C][C]0.764180233908577[/C][/ROW]
[ROW][C]0.465[/C][C]52.9897878596923[/C][C]0.763447491292956[/C][/ROW]
[ROW][C]0.47[/C][C]53.055413524815[/C][C]0.763808199283803[/C][/ROW]
[ROW][C]0.475[/C][C]53.1210996606749[/C][C]0.765238270087264[/C][/ROW]
[ROW][C]0.48[/C][C]53.1869352845045[/C][C]0.76792032048173[/C][/ROW]
[ROW][C]0.485[/C][C]53.2530114920306[/C][C]0.771731994721848[/C][/ROW]
[ROW][C]0.49[/C][C]53.3194192325195[/C][C]0.776762290987534[/C][/ROW]
[ROW][C]0.495[/C][C]53.3862470979178[/C][C]0.782919928135416[/C][/ROW]
[ROW][C]0.5[/C][C]53.4535791767577[/C][C]0.790081210184036[/C][/ROW]
[ROW][C]0.505[/C][C]53.5214930210645[/C][C]0.798145071474703[/C][/ROW]
[ROW][C]0.51[/C][C]53.5900577713089[/C][C]0.807057833586534[/C][/ROW]
[ROW][C]0.515[/C][C]53.6593324806156[/C][C]0.816590984283408[/C][/ROW]
[ROW][C]0.52[/C][C]53.729364675072[/C][C]0.826574447633882[/C][/ROW]
[ROW][C]0.525[/C][C]53.8001891821677[/C][C]0.836856865706832[/C][/ROW]
[ROW][C]0.53[/C][C]53.8718272541893[/C][C]0.847171256936659[/C][/ROW]
[ROW][C]0.535[/C][C]53.9442860078542[/C][C]0.857443319396572[/C][/ROW]
[ROW][C]0.54[/C][C]54.017558195591[/C][C]0.867395178260114[/C][/ROW]
[ROW][C]0.545[/C][C]54.0916223176843[/C][C]0.876881444319023[/C][/ROW]
[ROW][C]0.55[/C][C]54.166443077997[/C][C]0.88566615059088[/C][/ROW]
[ROW][C]0.555[/C][C]54.2419721791435[/C][C]0.893630292425347[/C][/ROW]
[ROW][C]0.56[/C][C]54.3181494458489[/C][C]0.900618549555841[/C][/ROW]
[ROW][C]0.565[/C][C]54.3949042577975[/C][C]0.906519941481881[/C][/ROW]
[ROW][C]0.57[/C][C]54.4721572656295[/C][C]0.911215618748836[/C][/ROW]
[ROW][C]0.575[/C][C]54.5498223559737[/C][C]0.91463596227016[/C][/ROW]
[ROW][C]0.58[/C][C]54.6278088236814[/C][C]0.916634011966158[/C][/ROW]
[ROW][C]0.585[/C][C]54.7060237019417[/C][C]0.917311195297912[/C][/ROW]
[ROW][C]0.59[/C][C]54.7843741939949[/C][C]0.916640832985375[/C][/ROW]
[ROW][C]0.595[/C][C]54.8627701440329[/C][C]0.914607581763527[/C][/ROW]
[ROW][C]0.6[/C][C]54.9411264799538[/C][C]0.91139743058266[/C][/ROW]
[ROW][C]0.605[/C][C]55.0193655573177[/C][C]0.907017349496242[/C][/ROW]
[ROW][C]0.61[/C][C]55.0974193325395[/C][C]0.901626743511146[/C][/ROW]
[ROW][C]0.615[/C][C]55.1752312944291[/C][C]0.895426483852592[/C][/ROW]
[ROW][C]0.62[/C][C]55.2527580869918[/C][C]0.88853849219675[/C][/ROW]
[ROW][C]0.625[/C][C]55.3299707631623[/C][C]0.881154701479345[/C][/ROW]
[ROW][C]0.63[/C][C]55.4068556189909[/C][C]0.873509295975721[/C][/ROW]
[ROW][C]0.635[/C][C]55.4834145706978[/C][C]0.86586433889024[/C][/ROW]
[ROW][C]0.64[/C][C]55.5596650527373[/C][C]0.858370059872922[/C][/ROW]
[ROW][C]0.645[/C][C]55.6356394331649[/C][C]0.851324845033027[/C][/ROW]
[ROW][C]0.65[/C][C]55.7113839625693[/C][C]0.84483843998854[/C][/ROW]
[ROW][C]0.655[/C][C]55.7869572938213[/C][C]0.8390954585494[/C][/ROW]
[ROW][C]0.66[/C][C]55.8624286309548[/C][C]0.834240885243693[/C][/ROW]
[ROW][C]0.665[/C][C]55.9378755855679[/C][C]0.830414764261064[/C][/ROW]
[ROW][C]0.67[/C][C]56.0133818370878[/C][C]0.827641809927264[/C][/ROW]
[ROW][C]0.675[/C][C]56.0890347079657[/C][C]0.825964120799272[/C][/ROW]
[ROW][C]0.68[/C][C]56.1649227753173[/C][C]0.825388404208482[/C][/ROW]
[ROW][C]0.685[/C][C]56.2411336458028[/C][C]0.825762221446784[/C][/ROW]
[ROW][C]0.69[/C][C]56.3177520199578[/C][C]0.827084075988703[/C][/ROW]
[ROW][C]0.695[/C][C]56.394858165317[/C][C]0.829165322203536[/C][/ROW]
[ROW][C]0.7[/C][C]56.4725269043732[/C][C]0.831895740608549[/C][/ROW]
[ROW][C]0.705[/C][C]56.5508272038638[/C][C]0.835167840890947[/C][/ROW]
[ROW][C]0.71[/C][C]56.6298224265546[/C][C]0.838801340194552[/C][/ROW]
[ROW][C]0.715[/C][C]56.7095712763916[/C][C]0.84265533411977[/C][/ROW]
[ROW][C]0.72[/C][C]56.790129433658[/C][C]0.846636111182356[/C][/ROW]
[ROW][C]0.725[/C][C]56.8715518399256[/C][C]0.850621553123832[/C][/ROW]
[ROW][C]0.73[/C][C]56.9538955546484[/C][C]0.854674656034884[/C][/ROW]
[ROW][C]0.735[/C][C]57.0372230679336[/C][C]0.858750028307995[/C][/ROW]
[ROW][C]0.74[/C][C]57.1216059192802[/C][C]0.862927385056302[/C][/ROW]
[ROW][C]0.745[/C][C]57.2071284419711[/C][C]0.867339524670915[/C][/ROW]
[ROW][C]0.75[/C][C]57.2938914296422[/C][C]0.872141545992746[/C][/ROW]
[ROW][C]0.755[/C][C]57.3820155077177[/C][C]0.877516853405245[/C][/ROW]
[ROW][C]0.76[/C][C]57.4716439903998[/C][C]0.883767320982863[/C][/ROW]
[ROW][C]0.765[/C][C]57.5629450161628[/C][C]0.891149925323513[/C][/ROW]
[ROW][C]0.77[/C][C]57.656112783453[/C][C]0.899992131362455[/C][/ROW]
[ROW][C]0.775[/C][C]57.7513677552376[/C][C]0.91055569788202[/C][/ROW]
[ROW][C]0.78[/C][C]57.848955767063[/C][C]0.92316067635637[/C][/ROW]
[ROW][C]0.785[/C][C]57.9491460580142[/C][C]0.938060044422897[/C][/ROW]
[ROW][C]0.79[/C][C]58.0522283454018[/C][C]0.955425327999547[/C][/ROW]
[ROW][C]0.795[/C][C]58.1585091781279[/C][C]0.975342440531471[/C][/ROW]
[ROW][C]0.8[/C][C]58.2683079242154[/C][C]0.997871403888384[/C][/ROW]
[ROW][C]0.805[/C][C]58.3819528663395[/C][C]1.02293901344348[/C][/ROW]
[ROW][C]0.81[/C][C]58.4997779846952[/C][C]1.05035629769393[/C][/ROW]
[ROW][C]0.815[/C][C]58.6221210869411[/C][C]1.07989846196071[/C][/ROW]
[ROW][C]0.82[/C][C]58.749323987341[/C][C]1.11126455884349[/C][/ROW]
[ROW][C]0.825[/C][C]58.8817354290649[/C][C]1.14411819535320[/C][/ROW]
[ROW][C]0.83[/C][C]59.0197173740223[/C][C]1.17810982855801[/C][/ROW]
[ROW][C]0.835[/C][C]59.1636551455342[/C][C]1.21297453102823[/C][/ROW]
[ROW][C]0.84[/C][C]59.3139716962134[/C][C]1.24859469229733[/C][/ROW]
[ROW][C]0.845[/C][C]59.4711459862468[/C][C]1.28496323735927[/C][/ROW]
[ROW][C]0.85[/C][C]59.6357350990877[/C][C]1.32225703708394[/C][/ROW]
[ROW][C]0.855[/C][C]59.808399298152[/C][C]1.36097258732905[/C][/ROW]
[ROW][C]0.86[/C][C]59.9899287461727[/C][C]1.40176518513381[/C][/ROW]
[ROW][C]0.865[/C][C]60.1812700745779[/C][C]1.44564885718320[/C][/ROW]
[ROW][C]0.87[/C][C]60.3835504086088[/C][C]1.49381452988989[/C][/ROW]
[ROW][C]0.875[/C][C]60.5980958302273[/C][C]1.54755176280515[/C][/ROW]
[ROW][C]0.88[/C][C]60.826440605479[/C][C]1.60837649584899[/C][/ROW]
[ROW][C]0.885[/C][C]61.0703228399457[/C][C]1.67765038617034[/C][/ROW]
[ROW][C]0.89[/C][C]61.3316616061171[/C][C]1.75654255914126[/C][/ROW]
[ROW][C]0.895[/C][C]61.6125101036391[/C][C]1.84593407477494[/C][/ROW]
[ROW][C]0.9[/C][C]61.9149792202884[/C][C]1.94608176699715[/C][/ROW]
[ROW][C]0.905[/C][C]62.2411261811786[/C][C]2.05656327295274[/C][/ROW]
[ROW][C]0.91[/C][C]62.5928040983465[/C][C]2.17596261472289[/C][/ROW]
[ROW][C]0.915[/C][C]62.9714705020316[/C][C]2.30166168363173[/C][/ROW]
[ROW][C]0.92[/C][C]63.3779566844701[/C][C]2.42968381684313[/C][/ROW]
[ROW][C]0.925[/C][C]63.8122051625813[/C][C]2.55440636766282[/C][/ROW]
[ROW][C]0.93[/C][C]64.2729898011415[/C][C]2.66858992569684[/C][/ROW]
[ROW][C]0.935[/C][C]64.7576418060933[/C][C]2.76327779166304[/C][/ROW]
[ROW][C]0.94[/C][C]65.2618140600926[/C][C]2.82829384580863[/C][/ROW]
[ROW][C]0.945[/C][C]65.7793246668936[/C][C]2.85262284006462[/C][/ROW]
[ROW][C]0.95[/C][C]66.3021260001239[/C][C]2.82550544429204[/C][/ROW]
[ROW][C]0.955[/C][C]66.8204454507653[/C][C]2.73755455122731[/C][/ROW]
[ROW][C]0.96[/C][C]67.3231358312638[/C][C]2.5823833715946[/C][/ROW]
[ROW][C]0.965[/C][C]67.7982551051132[/C][C]2.35822695283989[/C][/ROW]
[ROW][C]0.97[/C][C]68.2338665114088[/C][C]2.06955981806924[/C][/ROW]
[ROW][C]0.975[/C][C]68.6190136272036[/C][C]1.72848428160608[/C][/ROW]
[ROW][C]0.98[/C][C]68.9447859919515[/C][C]1.35533641229580[/C][/ROW]
[ROW][C]0.985[/C][C]69.2053576651715[/C][C]0.978476857639159[/C][/ROW]
[ROW][C]0.99[/C][C]69.3988617067667[/C][C]0.632831641401604[/C][/ROW]
[ROW][C]0.995[/C][C]69.52796236609[/C][C]0.358026891737892[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29123&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29123&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
0.00541.15383623709490.411312727702149
0.0141.24143293346640.470477479030229
0.01541.36414961335490.589044822628222
0.0241.52258654701450.764935709827282
0.02541.71689948353010.981767742568139
0.0341.94666606704631.21927695542796
0.03542.21056114254331.45817408902450
0.0442.50607329429741.682000505355
0.04542.82939932318531.87795853954658
0.0543.17555187581912.03733430368363
0.05543.53864287947052.15511933974768
0.0643.91227063321572.22972504551566
0.06544.28993468568332.26213487133705
0.0744.66541765805742.25538490449844
0.07545.03309534449532.21387778822395
0.0845.38815772088772.14291226699903
0.08545.72673984356712.04836860241315
0.0946.04597199260811.93622652786223
0.09546.34396357560741.8124705252613
0.146.61973674376671.68270492278381
0.10546.87312488141811.55220842323652
0.1147.10464927483641.42550992137674
0.11547.31538508510581.30643703584586
0.1247.50682562113231.19803997356750
0.12547.68075196912591.10254312419059
0.1347.83911329504981.02125337670952
0.13547.98392156717520.954684709188706
0.1448.11716302446080.90255452866563
0.14548.24072744379050.86377767867714
0.1548.35635515582220.836831544573345
0.15548.46560085352050.819912525945161
0.1648.56981255214980.810945551737684
0.16548.67012360288730.807865581771901
0.1748.76745542454250.80892312526672
0.17548.86252857282270.812524318996811
0.1848.9558798759280.817248276711865
0.18549.04788358502060.822080774728416
0.1949.13877477456220.826081497581876
0.19549.22867354185920.828580444413478
0.249.31760886657170.829206875520502
0.20549.40554127776270.827595258756936
0.2149.49238372553130.823633325619445
0.21549.57802026124920.817403308823422
0.2249.66232229551840.808953131677168
0.22549.74516233058990.798526192038571
0.2349.82642516044490.786455624568177
0.23549.90601660383710.77312486161159
0.2449.98386988953880.758874708084323
0.24550.05994985384310.744184964707302
0.2550.13425514166410.729524157936947
0.25550.2068186265910.715343811924028
0.2650.27770628311140.70197684242722
0.26550.34701475625520.689966290191863
0.2750.41486788003180.679474927901782
0.27550.48141239600310.67080784022745
0.2850.54681311705930.664214933358222
0.28550.61124776912430.659820222799567
0.2950.67490172562640.657540294442675
0.29550.73796282699740.65751795646152
0.350.80061645133970.659521830955492
0.30550.86304097402860.663528597560279
0.3150.92540372474930.669319239843652
0.31550.98785752159520.676558925961303
0.3251.05053783448580.68515872433167
0.32551.11356060520350.694768399437768
0.3351.17702072937950.705076827448104
0.33551.24099118712630.715845425971763
0.3451.30552279375330.726780651511911
0.34551.37064452996070.737630774996734
0.3551.43636440175290.748228036857357
0.35551.50267077361310.758231228001696
0.3651.56953411378640.767467020552703
0.36551.6369090873790.77587706316251
0.3751.70473693103120.783187204027415
0.37551.77294804187650.789363686866496
0.3851.84146471318790.794292059585195
0.38551.9102039494640.797963620330277
0.3951.97908029474160.800374027011755
0.39552.04800860970670.801591261982213
0.452.11690673583810.80156041914499
0.40552.1856979884580.800478079310357
0.4152.25431342527010.798455173154105
0.41552.32269384277690.795638105873115
0.4252.39079145985290.792117181912433
0.42552.45857125561090.788191723116705
0.4352.52601193736810.783963072933533
0.43552.59310652376790.779711151293341
0.4452.65986253767870.775594969019931
0.44552.72630181306680.771781486043507
0.4552.7924599293390.768503768295715
0.45552.85838529537870.765914022983676
0.4652.92413791340780.764180233908577
0.46552.98978785969230.763447491292956
0.4753.0554135248150.763808199283803
0.47553.12109966067490.765238270087264
0.4853.18693528450450.76792032048173
0.48553.25301149203060.771731994721848
0.4953.31941923251950.776762290987534
0.49553.38624709791780.782919928135416
0.553.45357917675770.790081210184036
0.50553.52149302106450.798145071474703
0.5153.59005777130890.807057833586534
0.51553.65933248061560.816590984283408
0.5253.7293646750720.826574447633882
0.52553.80018918216770.836856865706832
0.5353.87182725418930.847171256936659
0.53553.94428600785420.857443319396572
0.5454.0175581955910.867395178260114
0.54554.09162231768430.876881444319023
0.5554.1664430779970.88566615059088
0.55554.24197217914350.893630292425347
0.5654.31814944584890.900618549555841
0.56554.39490425779750.906519941481881
0.5754.47215726562950.911215618748836
0.57554.54982235597370.91463596227016
0.5854.62780882368140.916634011966158
0.58554.70602370194170.917311195297912
0.5954.78437419399490.916640832985375
0.59554.86277014403290.914607581763527
0.654.94112647995380.91139743058266
0.60555.01936555731770.907017349496242
0.6155.09741933253950.901626743511146
0.61555.17523129442910.895426483852592
0.6255.25275808699180.88853849219675
0.62555.32997076316230.881154701479345
0.6355.40685561899090.873509295975721
0.63555.48341457069780.86586433889024
0.6455.55966505273730.858370059872922
0.64555.63563943316490.851324845033027
0.6555.71138396256930.84483843998854
0.65555.78695729382130.8390954585494
0.6655.86242863095480.834240885243693
0.66555.93787558556790.830414764261064
0.6756.01338183708780.827641809927264
0.67556.08903470796570.825964120799272
0.6856.16492277531730.825388404208482
0.68556.24113364580280.825762221446784
0.6956.31775201995780.827084075988703
0.69556.3948581653170.829165322203536
0.756.47252690437320.831895740608549
0.70556.55082720386380.835167840890947
0.7156.62982242655460.838801340194552
0.71556.70957127639160.84265533411977
0.7256.7901294336580.846636111182356
0.72556.87155183992560.850621553123832
0.7356.95389555464840.854674656034884
0.73557.03722306793360.858750028307995
0.7457.12160591928020.862927385056302
0.74557.20712844197110.867339524670915
0.7557.29389142964220.872141545992746
0.75557.38201550771770.877516853405245
0.7657.47164399039980.883767320982863
0.76557.56294501616280.891149925323513
0.7757.6561127834530.899992131362455
0.77557.75136775523760.91055569788202
0.7857.8489557670630.92316067635637
0.78557.94914605801420.938060044422897
0.7958.05222834540180.955425327999547
0.79558.15850917812790.975342440531471
0.858.26830792421540.997871403888384
0.80558.38195286633951.02293901344348
0.8158.49977798469521.05035629769393
0.81558.62212108694111.07989846196071
0.8258.7493239873411.11126455884349
0.82558.88173542906491.14411819535320
0.8359.01971737402231.17810982855801
0.83559.16365514553421.21297453102823
0.8459.31397169621341.24859469229733
0.84559.47114598624681.28496323735927
0.8559.63573509908771.32225703708394
0.85559.8083992981521.36097258732905
0.8659.98992874617271.40176518513381
0.86560.18127007457791.44564885718320
0.8760.38355040860881.49381452988989
0.87560.59809583022731.54755176280515
0.8860.8264406054791.60837649584899
0.88561.07032283994571.67765038617034
0.8961.33166160611711.75654255914126
0.89561.61251010363911.84593407477494
0.961.91497922028841.94608176699715
0.90562.24112618117862.05656327295274
0.9162.59280409834652.17596261472289
0.91562.97147050203162.30166168363173
0.9263.37795668447012.42968381684313
0.92563.81220516258132.55440636766282
0.9364.27298980114152.66858992569684
0.93564.75764180609332.76327779166304
0.9465.26181406009262.82829384580863
0.94565.77932466689362.85262284006462
0.9566.30212600012392.82550544429204
0.95566.82044545076532.73755455122731
0.9667.32313583126382.5823833715946
0.96567.79825510511322.35822695283989
0.9768.23386651140882.06955981806924
0.97568.61901362720361.72848428160608
0.9868.94478599195151.35533641229580
0.98569.20535766517150.978476857639159
0.9969.39886170676670.632831641401604
0.99569.527962366090.358026891737892


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = 0.005 ; par2 = 0.995 ; 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')