FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 30 Oct 2008 15:37:49 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/30/t12254027324eh3q1vxr5ih8wp.htm/, Retrieved Sun, 19 May 2024 13:04:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20179, Retrieved Sun, 19 May 2024 13:04:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Investigating dis...] [2007-10-22 19:59:15] [b9964c45117f7aac638ab9056d451faa]
-    D  [Tukey lambda PPCC Plot] [Q8 Consumptiegoed...] [2008-10-27 17:49:25] [491a70d26f8c977398d8a0c1c87d3dd4]
- RMP     [Harrell-Davis Quantiles] [Q9] [2008-10-30 21:33:21] [491a70d26f8c977398d8a0c1c87d3dd4]
- R           [Harrell-Davis Quantiles] [Q 9 manier 2] [2008-10-30 21:37:49] [2ba2a74112fb2c960057a572bf2825d3] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109.6
103
111.6
106.3
97.9
108.8
103.9
101.2
122.9
123.9
111.7
120.9
99.6
103.3
119.4
106.5
101.9
124.6
106.5
107.8
127.4
120.1
118.5
127.7
107.7
104.5
118.8
110.3
109.6
119.1
96.5
106.7
126.3
116.2
118.8
115.2
110
111.4
129.6
108.1
117.8
122.9
100.6
111.8
127
128.6
124.8
118.5
114.7
112.6
128.7
111
115.8
126
111.1
113.2
120.1
130.6
124
119.4
116.7

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'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20179&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20179&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20179&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-17.67483839065531.41356432730620
0.015-17.36639745810391.45153241134231
0.02-17.01535354558801.49443187969906
0.025-16.64095061660051.53136020670822
0.03-16.25890196455471.55422346689804
0.035-15.88067275797771.56017516863465
0.04-15.51375110495011.55110504163219
0.045-15.16237600181411.53179006441119
0.05-14.82836908212581.50789256885846
0.055-14.51188539220851.48453017389739
0.06-14.21201552740131.46546263648075
0.065-13.92723580422451.45284234427103
0.07-13.65572958201021.44739018008197
0.075-13.39560814624561.44877988914325
0.08-13.14505606431431.45608007236921
0.085-12.90242050648581.46808164037144
0.09-12.66625946606241.48359468992044
0.095-12.43536059401721.50152705282742
0.1-12.20874007565761.52098910675642
0.105-11.98562911132221.54119489913778
0.11-11.76545381860051.56148628973273
0.115-11.54781268102051.58121359076030
0.12-11.33245410276151.59974606757608
0.125-11.11925530991231.61640246249116
0.13-10.90820285957381.63055517595514
0.135-10.69937441488661.64154874990958
0.14-10.49292119343381.64879366824478
0.145-10.28905052992571.65183809418267
0.15-10.08800821862521.65037807924340
0.155-9.890060618966471.64429504430779
0.16-9.695476832264541.63369075055749
0.165-9.50451152179251.61891970659200
0.17-9.317389111007561.60045974706114
0.175-9.13429013819921.57900899592915
0.18-8.955340474417861.55539283913829
0.185-8.780603945356361.53048701556855
0.19-8.610078666953541.50521360404842
0.195-8.443697142928761.48044680188239
0.2-8.281329913182031.45698409812292
0.205-8.122792312972641.43549744380238
0.21-7.96785372454661.41649153246963
0.215-7.816248587460511.40028468209019
0.22-7.667688384938321.38704709387566
0.225-7.521873837620291.37676171550896
0.23-7.3785066038461.36925692179355
0.235-7.237299894336891.3642300811386
0.24-7.097987544298631.36130707320406
0.245-6.960331233086431.36005602127372
0.25-6.824125687623941.35999277953102
0.255-6.689201840070721.36066811236135
0.26-6.555428025014341.36163215139457
0.265-6.42270939195811.36247695189622
0.27-6.290985773153931.36285698588006
0.275-6.16022828538261.36247548815259
0.28-6.030434959484381.36112238044434
0.285-5.901625686964021.35863007648913
0.29-5.773836753232181.35491224765802
0.295-5.647115196629531.34994137984135
0.3-5.52151319575541.34374402604173
0.305-5.397082648760931.33642007742279
0.31-5.273870070456911.32810718763042
0.315-5.151911898844061.31897970352927
0.32-5.031230273704271.30927597696405
0.325-4.911829327129981.29925934435968
0.33-4.793692009552271.28920790525333
0.335-4.676777464600471.27945802531278
0.34-4.561018961156911.27033401539203
0.345-4.446322390087981.26220537099243
0.35-4.332565334945621.25545013962158
0.355-4.219596728965731.25044251556911
0.36-4.107237113490461.24757463927733
0.365-3.995279514196351.24722279423955
0.37-3.883490950133591.24975568668419
0.375-3.771614585785291.25551499418541
0.38-3.659372527709291.26481488106346
0.385-3.546469254774081.27791018084202
0.39-3.432595654878641.29499773636336
0.395-3.317433622042921.31620762534262
0.4-3.200661146873201.34158155999718
0.405-3.081957811885311.37107363042396
0.41-2.961010582399841.40454897446707
0.415-2.83751976514641.44177648331470
0.42-2.711204991713591.48243665241804
0.425-2.581811073780041.52611583369066
0.43-2.449113572628891.57234049790622
0.435-2.312923927422251.62055946555663
0.44-2.173093995344951.67017901609415
0.445-2.029519871857181.72056020762269
0.45-1.88214488034971.77104642685563
0.455-1.730961646517751.82096626696383
0.46-1.576013202481041.86965355303959
0.465-1.417393097557531.91645868245316
0.47-1.255244524983081.96076308651714
0.475-1.089758505064852.00199111362263
0.48-0.9211711936479482.03961706748162
0.485-0.7497604089387422.07317220361735
0.49-0.575841488524652.10225141939919
0.495-0.3997626010749472.12652022087165
0.5-0.2218996433264252.14571810746822
0.505-0.04265085259973392.15964836285390
0.510.1375687412770852.16818980336782
0.5150.318332912305852.17128491425107
0.520.4992097861601472.16894223139987
0.5250.6797672610240572.16123079074531
0.530.8595782423668972.14826880347236
0.5351.038225651760662.13023222350166
0.541.215307187357712.10733450263490
0.5451.390439828321282.07983657839966
0.551.563264086434952.04803636261802
0.5551.733448014734372.01226620817264
0.561.900690985085661.97289623941105
0.5652.064727244313921.93031958370166
0.572.225329252224191.88498031619327
0.5752.382310795388511.83733254551053
0.582.535529858833731.78787936078559
0.5852.684891224812591.73714046076470
0.592.830348754769621.68567478290660
0.5952.971907298473541.63406613321131
0.63.109624164016671.5829238135342
0.6053.243610074753841.53287862365820
0.613.374029534848591.48458048886432
0.6153.501100524291451.43869009332191
0.623.625093447242361.39587069879363
0.6253.746329264355351.3567782345502
0.633.86517675027641.32205308897593
0.6353.982048831598091.29229641614052
0.644.097397978003461.26806633331301
0.6454.211710639926841.24984129052685
0.654.325500749598311.23800622046142
0.6554.439302328609311.23284422737879
0.664.553661273898511.23450016487165
0.6654.669126424974191.24297966884398
0.674.786240047778721.25812506625559
0.6754.905527904152131.27963887020636
0.685.027489109364531.30706760049722
0.6855.152586012325441.33982415614542
0.695.281234362145781.37719328761313
0.6955.413794048700591.4183578120477
0.75.550560721428141.46241050512750
0.7055.691758597378471.50837624096843
0.715.837534764100631.55524466688605
0.7155.987955263193251.60196370837465
0.726.143003204591581.64749855844606
0.7256.302579109025531.69083444427323
0.736.466503606638081.73101524868986
0.7356.634522534762021.76716585699258
0.746.806314379877151.79850456402237
0.7456.981499901720391.82439668162964
0.757.15965366657751.84435388488125
0.7557.340317108214741.85805561103472
0.767.523012635750941.86534980035085
0.7657.707258225420241.86628737526193
0.777.892581874866461.86108609632144
0.7758.078535270846471.85015253553125
0.788.264706029179181.83402210207990
0.7858.45072791274081.81338084399995
0.798.636288520165881.78899819040273
0.7958.821134062785491.76171604229267
0.89.005071005351941.73236753298198
0.8059.187964529399881.70177475064410
0.819.369733976017631.67067116980455
0.8159.550345624350431.63968577976051
0.829.72980334866691.60929269050198
0.8259.90813785488661.57979377981438
0.8310.08539531206511.55132747366073
0.83510.26162625213661.5238203925735
0.8410.43687560204831.49709473440307
0.84510.6111746308271.47081960194916
0.8510.78453544092201.44458865087105
0.85510.95694841691081.41799040311388
0.8611.12838278269681.39060595572445
0.86511.29879013728671.36210705454331
0.8711.46811057432511.33225748364161
0.87511.63628078338161.30095599892346
0.8811.80324342523181.26823506421517
0.88511.96895710819761.23426780890235
0.8912.13340649366231.19933613859320
0.89512.29661242767941.16380572909677
0.912.45864249856981.12806726705551
0.90512.61962297941371.09250351089396
0.9112.77975360057491.05744537351460
0.91512.93932682967221.02316228696713
0.9213.09875308327440.98987512044374
0.92513.25859227780180.957826290591393
0.9313.41959002535690.927379294343034
0.93513.58271323918350.899135303695486
0.9413.74917458834160.874001609950008
0.94513.92042793040520.853192589973755
0.9514.09810782003490.838055139512749
0.95514.28387680133770.829729057182702
0.9614.47913788283430.828769415307032
0.96514.68457303563530.834906887569674
0.9714.89949229911310.847181950357847
0.97515.12103532191260.864428029941655
0.9815.34336858063370.885759324797239
0.98515.55716415973420.91051347908891
0.9915.7497963342790.937394318543063

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -17.6748383906553 & 1.41356432730620 \tabularnewline
0.015 & -17.3663974581039 & 1.45153241134231 \tabularnewline
0.02 & -17.0153535455880 & 1.49443187969906 \tabularnewline
0.025 & -16.6409506166005 & 1.53136020670822 \tabularnewline
0.03 & -16.2589019645547 & 1.55422346689804 \tabularnewline
0.035 & -15.8806727579777 & 1.56017516863465 \tabularnewline
0.04 & -15.5137511049501 & 1.55110504163219 \tabularnewline
0.045 & -15.1623760018141 & 1.53179006441119 \tabularnewline
0.05 & -14.8283690821258 & 1.50789256885846 \tabularnewline
0.055 & -14.5118853922085 & 1.48453017389739 \tabularnewline
0.06 & -14.2120155274013 & 1.46546263648075 \tabularnewline
0.065 & -13.9272358042245 & 1.45284234427103 \tabularnewline
0.07 & -13.6557295820102 & 1.44739018008197 \tabularnewline
0.075 & -13.3956081462456 & 1.44877988914325 \tabularnewline
0.08 & -13.1450560643143 & 1.45608007236921 \tabularnewline
0.085 & -12.9024205064858 & 1.46808164037144 \tabularnewline
0.09 & -12.6662594660624 & 1.48359468992044 \tabularnewline
0.095 & -12.4353605940172 & 1.50152705282742 \tabularnewline
0.1 & -12.2087400756576 & 1.52098910675642 \tabularnewline
0.105 & -11.9856291113222 & 1.54119489913778 \tabularnewline
0.11 & -11.7654538186005 & 1.56148628973273 \tabularnewline
0.115 & -11.5478126810205 & 1.58121359076030 \tabularnewline
0.12 & -11.3324541027615 & 1.59974606757608 \tabularnewline
0.125 & -11.1192553099123 & 1.61640246249116 \tabularnewline
0.13 & -10.9082028595738 & 1.63055517595514 \tabularnewline
0.135 & -10.6993744148866 & 1.64154874990958 \tabularnewline
0.14 & -10.4929211934338 & 1.64879366824478 \tabularnewline
0.145 & -10.2890505299257 & 1.65183809418267 \tabularnewline
0.15 & -10.0880082186252 & 1.65037807924340 \tabularnewline
0.155 & -9.89006061896647 & 1.64429504430779 \tabularnewline
0.16 & -9.69547683226454 & 1.63369075055749 \tabularnewline
0.165 & -9.5045115217925 & 1.61891970659200 \tabularnewline
0.17 & -9.31738911100756 & 1.60045974706114 \tabularnewline
0.175 & -9.1342901381992 & 1.57900899592915 \tabularnewline
0.18 & -8.95534047441786 & 1.55539283913829 \tabularnewline
0.185 & -8.78060394535636 & 1.53048701556855 \tabularnewline
0.19 & -8.61007866695354 & 1.50521360404842 \tabularnewline
0.195 & -8.44369714292876 & 1.48044680188239 \tabularnewline
0.2 & -8.28132991318203 & 1.45698409812292 \tabularnewline
0.205 & -8.12279231297264 & 1.43549744380238 \tabularnewline
0.21 & -7.9678537245466 & 1.41649153246963 \tabularnewline
0.215 & -7.81624858746051 & 1.40028468209019 \tabularnewline
0.22 & -7.66768838493832 & 1.38704709387566 \tabularnewline
0.225 & -7.52187383762029 & 1.37676171550896 \tabularnewline
0.23 & -7.378506603846 & 1.36925692179355 \tabularnewline
0.235 & -7.23729989433689 & 1.3642300811386 \tabularnewline
0.24 & -7.09798754429863 & 1.36130707320406 \tabularnewline
0.245 & -6.96033123308643 & 1.36005602127372 \tabularnewline
0.25 & -6.82412568762394 & 1.35999277953102 \tabularnewline
0.255 & -6.68920184007072 & 1.36066811236135 \tabularnewline
0.26 & -6.55542802501434 & 1.36163215139457 \tabularnewline
0.265 & -6.4227093919581 & 1.36247695189622 \tabularnewline
0.27 & -6.29098577315393 & 1.36285698588006 \tabularnewline
0.275 & -6.1602282853826 & 1.36247548815259 \tabularnewline
0.28 & -6.03043495948438 & 1.36112238044434 \tabularnewline
0.285 & -5.90162568696402 & 1.35863007648913 \tabularnewline
0.29 & -5.77383675323218 & 1.35491224765802 \tabularnewline
0.295 & -5.64711519662953 & 1.34994137984135 \tabularnewline
0.3 & -5.5215131957554 & 1.34374402604173 \tabularnewline
0.305 & -5.39708264876093 & 1.33642007742279 \tabularnewline
0.31 & -5.27387007045691 & 1.32810718763042 \tabularnewline
0.315 & -5.15191189884406 & 1.31897970352927 \tabularnewline
0.32 & -5.03123027370427 & 1.30927597696405 \tabularnewline
0.325 & -4.91182932712998 & 1.29925934435968 \tabularnewline
0.33 & -4.79369200955227 & 1.28920790525333 \tabularnewline
0.335 & -4.67677746460047 & 1.27945802531278 \tabularnewline
0.34 & -4.56101896115691 & 1.27033401539203 \tabularnewline
0.345 & -4.44632239008798 & 1.26220537099243 \tabularnewline
0.35 & -4.33256533494562 & 1.25545013962158 \tabularnewline
0.355 & -4.21959672896573 & 1.25044251556911 \tabularnewline
0.36 & -4.10723711349046 & 1.24757463927733 \tabularnewline
0.365 & -3.99527951419635 & 1.24722279423955 \tabularnewline
0.37 & -3.88349095013359 & 1.24975568668419 \tabularnewline
0.375 & -3.77161458578529 & 1.25551499418541 \tabularnewline
0.38 & -3.65937252770929 & 1.26481488106346 \tabularnewline
0.385 & -3.54646925477408 & 1.27791018084202 \tabularnewline
0.39 & -3.43259565487864 & 1.29499773636336 \tabularnewline
0.395 & -3.31743362204292 & 1.31620762534262 \tabularnewline
0.4 & -3.20066114687320 & 1.34158155999718 \tabularnewline
0.405 & -3.08195781188531 & 1.37107363042396 \tabularnewline
0.41 & -2.96101058239984 & 1.40454897446707 \tabularnewline
0.415 & -2.8375197651464 & 1.44177648331470 \tabularnewline
0.42 & -2.71120499171359 & 1.48243665241804 \tabularnewline
0.425 & -2.58181107378004 & 1.52611583369066 \tabularnewline
0.43 & -2.44911357262889 & 1.57234049790622 \tabularnewline
0.435 & -2.31292392742225 & 1.62055946555663 \tabularnewline
0.44 & -2.17309399534495 & 1.67017901609415 \tabularnewline
0.445 & -2.02951987185718 & 1.72056020762269 \tabularnewline
0.45 & -1.8821448803497 & 1.77104642685563 \tabularnewline
0.455 & -1.73096164651775 & 1.82096626696383 \tabularnewline
0.46 & -1.57601320248104 & 1.86965355303959 \tabularnewline
0.465 & -1.41739309755753 & 1.91645868245316 \tabularnewline
0.47 & -1.25524452498308 & 1.96076308651714 \tabularnewline
0.475 & -1.08975850506485 & 2.00199111362263 \tabularnewline
0.48 & -0.921171193647948 & 2.03961706748162 \tabularnewline
0.485 & -0.749760408938742 & 2.07317220361735 \tabularnewline
0.49 & -0.57584148852465 & 2.10225141939919 \tabularnewline
0.495 & -0.399762601074947 & 2.12652022087165 \tabularnewline
0.5 & -0.221899643326425 & 2.14571810746822 \tabularnewline
0.505 & -0.0426508525997339 & 2.15964836285390 \tabularnewline
0.51 & 0.137568741277085 & 2.16818980336782 \tabularnewline
0.515 & 0.31833291230585 & 2.17128491425107 \tabularnewline
0.52 & 0.499209786160147 & 2.16894223139987 \tabularnewline
0.525 & 0.679767261024057 & 2.16123079074531 \tabularnewline
0.53 & 0.859578242366897 & 2.14826880347236 \tabularnewline
0.535 & 1.03822565176066 & 2.13023222350166 \tabularnewline
0.54 & 1.21530718735771 & 2.10733450263490 \tabularnewline
0.545 & 1.39043982832128 & 2.07983657839966 \tabularnewline
0.55 & 1.56326408643495 & 2.04803636261802 \tabularnewline
0.555 & 1.73344801473437 & 2.01226620817264 \tabularnewline
0.56 & 1.90069098508566 & 1.97289623941105 \tabularnewline
0.565 & 2.06472724431392 & 1.93031958370166 \tabularnewline
0.57 & 2.22532925222419 & 1.88498031619327 \tabularnewline
0.575 & 2.38231079538851 & 1.83733254551053 \tabularnewline
0.58 & 2.53552985883373 & 1.78787936078559 \tabularnewline
0.585 & 2.68489122481259 & 1.73714046076470 \tabularnewline
0.59 & 2.83034875476962 & 1.68567478290660 \tabularnewline
0.595 & 2.97190729847354 & 1.63406613321131 \tabularnewline
0.6 & 3.10962416401667 & 1.5829238135342 \tabularnewline
0.605 & 3.24361007475384 & 1.53287862365820 \tabularnewline
0.61 & 3.37402953484859 & 1.48458048886432 \tabularnewline
0.615 & 3.50110052429145 & 1.43869009332191 \tabularnewline
0.62 & 3.62509344724236 & 1.39587069879363 \tabularnewline
0.625 & 3.74632926435535 & 1.3567782345502 \tabularnewline
0.63 & 3.8651767502764 & 1.32205308897593 \tabularnewline
0.635 & 3.98204883159809 & 1.29229641614052 \tabularnewline
0.64 & 4.09739797800346 & 1.26806633331301 \tabularnewline
0.645 & 4.21171063992684 & 1.24984129052685 \tabularnewline
0.65 & 4.32550074959831 & 1.23800622046142 \tabularnewline
0.655 & 4.43930232860931 & 1.23284422737879 \tabularnewline
0.66 & 4.55366127389851 & 1.23450016487165 \tabularnewline
0.665 & 4.66912642497419 & 1.24297966884398 \tabularnewline
0.67 & 4.78624004777872 & 1.25812506625559 \tabularnewline
0.675 & 4.90552790415213 & 1.27963887020636 \tabularnewline
0.68 & 5.02748910936453 & 1.30706760049722 \tabularnewline
0.685 & 5.15258601232544 & 1.33982415614542 \tabularnewline
0.69 & 5.28123436214578 & 1.37719328761313 \tabularnewline
0.695 & 5.41379404870059 & 1.4183578120477 \tabularnewline
0.7 & 5.55056072142814 & 1.46241050512750 \tabularnewline
0.705 & 5.69175859737847 & 1.50837624096843 \tabularnewline
0.71 & 5.83753476410063 & 1.55524466688605 \tabularnewline
0.715 & 5.98795526319325 & 1.60196370837465 \tabularnewline
0.72 & 6.14300320459158 & 1.64749855844606 \tabularnewline
0.725 & 6.30257910902553 & 1.69083444427323 \tabularnewline
0.73 & 6.46650360663808 & 1.73101524868986 \tabularnewline
0.735 & 6.63452253476202 & 1.76716585699258 \tabularnewline
0.74 & 6.80631437987715 & 1.79850456402237 \tabularnewline
0.745 & 6.98149990172039 & 1.82439668162964 \tabularnewline
0.75 & 7.1596536665775 & 1.84435388488125 \tabularnewline
0.755 & 7.34031710821474 & 1.85805561103472 \tabularnewline
0.76 & 7.52301263575094 & 1.86534980035085 \tabularnewline
0.765 & 7.70725822542024 & 1.86628737526193 \tabularnewline
0.77 & 7.89258187486646 & 1.86108609632144 \tabularnewline
0.775 & 8.07853527084647 & 1.85015253553125 \tabularnewline
0.78 & 8.26470602917918 & 1.83402210207990 \tabularnewline
0.785 & 8.4507279127408 & 1.81338084399995 \tabularnewline
0.79 & 8.63628852016588 & 1.78899819040273 \tabularnewline
0.795 & 8.82113406278549 & 1.76171604229267 \tabularnewline
0.8 & 9.00507100535194 & 1.73236753298198 \tabularnewline
0.805 & 9.18796452939988 & 1.70177475064410 \tabularnewline
0.81 & 9.36973397601763 & 1.67067116980455 \tabularnewline
0.815 & 9.55034562435043 & 1.63968577976051 \tabularnewline
0.82 & 9.7298033486669 & 1.60929269050198 \tabularnewline
0.825 & 9.9081378548866 & 1.57979377981438 \tabularnewline
0.83 & 10.0853953120651 & 1.55132747366073 \tabularnewline
0.835 & 10.2616262521366 & 1.5238203925735 \tabularnewline
0.84 & 10.4368756020483 & 1.49709473440307 \tabularnewline
0.845 & 10.611174630827 & 1.47081960194916 \tabularnewline
0.85 & 10.7845354409220 & 1.44458865087105 \tabularnewline
0.855 & 10.9569484169108 & 1.41799040311388 \tabularnewline
0.86 & 11.1283827826968 & 1.39060595572445 \tabularnewline
0.865 & 11.2987901372867 & 1.36210705454331 \tabularnewline
0.87 & 11.4681105743251 & 1.33225748364161 \tabularnewline
0.875 & 11.6362807833816 & 1.30095599892346 \tabularnewline
0.88 & 11.8032434252318 & 1.26823506421517 \tabularnewline
0.885 & 11.9689571081976 & 1.23426780890235 \tabularnewline
0.89 & 12.1334064936623 & 1.19933613859320 \tabularnewline
0.895 & 12.2966124276794 & 1.16380572909677 \tabularnewline
0.9 & 12.4586424985698 & 1.12806726705551 \tabularnewline
0.905 & 12.6196229794137 & 1.09250351089396 \tabularnewline
0.91 & 12.7797536005749 & 1.05744537351460 \tabularnewline
0.915 & 12.9393268296722 & 1.02316228696713 \tabularnewline
0.92 & 13.0987530832744 & 0.98987512044374 \tabularnewline
0.925 & 13.2585922778018 & 0.957826290591393 \tabularnewline
0.93 & 13.4195900253569 & 0.927379294343034 \tabularnewline
0.935 & 13.5827132391835 & 0.899135303695486 \tabularnewline
0.94 & 13.7491745883416 & 0.874001609950008 \tabularnewline
0.945 & 13.9204279304052 & 0.853192589973755 \tabularnewline
0.95 & 14.0981078200349 & 0.838055139512749 \tabularnewline
0.955 & 14.2838768013377 & 0.829729057182702 \tabularnewline
0.96 & 14.4791378828343 & 0.828769415307032 \tabularnewline
0.965 & 14.6845730356353 & 0.834906887569674 \tabularnewline
0.97 & 14.8994922991131 & 0.847181950357847 \tabularnewline
0.975 & 15.1210353219126 & 0.864428029941655 \tabularnewline
0.98 & 15.3433685806337 & 0.885759324797239 \tabularnewline
0.985 & 15.5571641597342 & 0.91051347908891 \tabularnewline
0.99 & 15.749796334279 & 0.937394318543063 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20179&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]-17.6748383906553[/C][C]1.41356432730620[/C][/ROW]
[ROW][C]0.015[/C][C]-17.3663974581039[/C][C]1.45153241134231[/C][/ROW]
[ROW][C]0.02[/C][C]-17.0153535455880[/C][C]1.49443187969906[/C][/ROW]
[ROW][C]0.025[/C][C]-16.6409506166005[/C][C]1.53136020670822[/C][/ROW]
[ROW][C]0.03[/C][C]-16.2589019645547[/C][C]1.55422346689804[/C][/ROW]
[ROW][C]0.035[/C][C]-15.8806727579777[/C][C]1.56017516863465[/C][/ROW]
[ROW][C]0.04[/C][C]-15.5137511049501[/C][C]1.55110504163219[/C][/ROW]
[ROW][C]0.045[/C][C]-15.1623760018141[/C][C]1.53179006441119[/C][/ROW]
[ROW][C]0.05[/C][C]-14.8283690821258[/C][C]1.50789256885846[/C][/ROW]
[ROW][C]0.055[/C][C]-14.5118853922085[/C][C]1.48453017389739[/C][/ROW]
[ROW][C]0.06[/C][C]-14.2120155274013[/C][C]1.46546263648075[/C][/ROW]
[ROW][C]0.065[/C][C]-13.9272358042245[/C][C]1.45284234427103[/C][/ROW]
[ROW][C]0.07[/C][C]-13.6557295820102[/C][C]1.44739018008197[/C][/ROW]
[ROW][C]0.075[/C][C]-13.3956081462456[/C][C]1.44877988914325[/C][/ROW]
[ROW][C]0.08[/C][C]-13.1450560643143[/C][C]1.45608007236921[/C][/ROW]
[ROW][C]0.085[/C][C]-12.9024205064858[/C][C]1.46808164037144[/C][/ROW]
[ROW][C]0.09[/C][C]-12.6662594660624[/C][C]1.48359468992044[/C][/ROW]
[ROW][C]0.095[/C][C]-12.4353605940172[/C][C]1.50152705282742[/C][/ROW]
[ROW][C]0.1[/C][C]-12.2087400756576[/C][C]1.52098910675642[/C][/ROW]
[ROW][C]0.105[/C][C]-11.9856291113222[/C][C]1.54119489913778[/C][/ROW]
[ROW][C]0.11[/C][C]-11.7654538186005[/C][C]1.56148628973273[/C][/ROW]
[ROW][C]0.115[/C][C]-11.5478126810205[/C][C]1.58121359076030[/C][/ROW]
[ROW][C]0.12[/C][C]-11.3324541027615[/C][C]1.59974606757608[/C][/ROW]
[ROW][C]0.125[/C][C]-11.1192553099123[/C][C]1.61640246249116[/C][/ROW]
[ROW][C]0.13[/C][C]-10.9082028595738[/C][C]1.63055517595514[/C][/ROW]
[ROW][C]0.135[/C][C]-10.6993744148866[/C][C]1.64154874990958[/C][/ROW]
[ROW][C]0.14[/C][C]-10.4929211934338[/C][C]1.64879366824478[/C][/ROW]
[ROW][C]0.145[/C][C]-10.2890505299257[/C][C]1.65183809418267[/C][/ROW]
[ROW][C]0.15[/C][C]-10.0880082186252[/C][C]1.65037807924340[/C][/ROW]
[ROW][C]0.155[/C][C]-9.89006061896647[/C][C]1.64429504430779[/C][/ROW]
[ROW][C]0.16[/C][C]-9.69547683226454[/C][C]1.63369075055749[/C][/ROW]
[ROW][C]0.165[/C][C]-9.5045115217925[/C][C]1.61891970659200[/C][/ROW]
[ROW][C]0.17[/C][C]-9.31738911100756[/C][C]1.60045974706114[/C][/ROW]
[ROW][C]0.175[/C][C]-9.1342901381992[/C][C]1.57900899592915[/C][/ROW]
[ROW][C]0.18[/C][C]-8.95534047441786[/C][C]1.55539283913829[/C][/ROW]
[ROW][C]0.185[/C][C]-8.78060394535636[/C][C]1.53048701556855[/C][/ROW]
[ROW][C]0.19[/C][C]-8.61007866695354[/C][C]1.50521360404842[/C][/ROW]
[ROW][C]0.195[/C][C]-8.44369714292876[/C][C]1.48044680188239[/C][/ROW]
[ROW][C]0.2[/C][C]-8.28132991318203[/C][C]1.45698409812292[/C][/ROW]
[ROW][C]0.205[/C][C]-8.12279231297264[/C][C]1.43549744380238[/C][/ROW]
[ROW][C]0.21[/C][C]-7.9678537245466[/C][C]1.41649153246963[/C][/ROW]
[ROW][C]0.215[/C][C]-7.81624858746051[/C][C]1.40028468209019[/C][/ROW]
[ROW][C]0.22[/C][C]-7.66768838493832[/C][C]1.38704709387566[/C][/ROW]
[ROW][C]0.225[/C][C]-7.52187383762029[/C][C]1.37676171550896[/C][/ROW]
[ROW][C]0.23[/C][C]-7.378506603846[/C][C]1.36925692179355[/C][/ROW]
[ROW][C]0.235[/C][C]-7.23729989433689[/C][C]1.3642300811386[/C][/ROW]
[ROW][C]0.24[/C][C]-7.09798754429863[/C][C]1.36130707320406[/C][/ROW]
[ROW][C]0.245[/C][C]-6.96033123308643[/C][C]1.36005602127372[/C][/ROW]
[ROW][C]0.25[/C][C]-6.82412568762394[/C][C]1.35999277953102[/C][/ROW]
[ROW][C]0.255[/C][C]-6.68920184007072[/C][C]1.36066811236135[/C][/ROW]
[ROW][C]0.26[/C][C]-6.55542802501434[/C][C]1.36163215139457[/C][/ROW]
[ROW][C]0.265[/C][C]-6.4227093919581[/C][C]1.36247695189622[/C][/ROW]
[ROW][C]0.27[/C][C]-6.29098577315393[/C][C]1.36285698588006[/C][/ROW]
[ROW][C]0.275[/C][C]-6.1602282853826[/C][C]1.36247548815259[/C][/ROW]
[ROW][C]0.28[/C][C]-6.03043495948438[/C][C]1.36112238044434[/C][/ROW]
[ROW][C]0.285[/C][C]-5.90162568696402[/C][C]1.35863007648913[/C][/ROW]
[ROW][C]0.29[/C][C]-5.77383675323218[/C][C]1.35491224765802[/C][/ROW]
[ROW][C]0.295[/C][C]-5.64711519662953[/C][C]1.34994137984135[/C][/ROW]
[ROW][C]0.3[/C][C]-5.5215131957554[/C][C]1.34374402604173[/C][/ROW]
[ROW][C]0.305[/C][C]-5.39708264876093[/C][C]1.33642007742279[/C][/ROW]
[ROW][C]0.31[/C][C]-5.27387007045691[/C][C]1.32810718763042[/C][/ROW]
[ROW][C]0.315[/C][C]-5.15191189884406[/C][C]1.31897970352927[/C][/ROW]
[ROW][C]0.32[/C][C]-5.03123027370427[/C][C]1.30927597696405[/C][/ROW]
[ROW][C]0.325[/C][C]-4.91182932712998[/C][C]1.29925934435968[/C][/ROW]
[ROW][C]0.33[/C][C]-4.79369200955227[/C][C]1.28920790525333[/C][/ROW]
[ROW][C]0.335[/C][C]-4.67677746460047[/C][C]1.27945802531278[/C][/ROW]
[ROW][C]0.34[/C][C]-4.56101896115691[/C][C]1.27033401539203[/C][/ROW]
[ROW][C]0.345[/C][C]-4.44632239008798[/C][C]1.26220537099243[/C][/ROW]
[ROW][C]0.35[/C][C]-4.33256533494562[/C][C]1.25545013962158[/C][/ROW]
[ROW][C]0.355[/C][C]-4.21959672896573[/C][C]1.25044251556911[/C][/ROW]
[ROW][C]0.36[/C][C]-4.10723711349046[/C][C]1.24757463927733[/C][/ROW]
[ROW][C]0.365[/C][C]-3.99527951419635[/C][C]1.24722279423955[/C][/ROW]
[ROW][C]0.37[/C][C]-3.88349095013359[/C][C]1.24975568668419[/C][/ROW]
[ROW][C]0.375[/C][C]-3.77161458578529[/C][C]1.25551499418541[/C][/ROW]
[ROW][C]0.38[/C][C]-3.65937252770929[/C][C]1.26481488106346[/C][/ROW]
[ROW][C]0.385[/C][C]-3.54646925477408[/C][C]1.27791018084202[/C][/ROW]
[ROW][C]0.39[/C][C]-3.43259565487864[/C][C]1.29499773636336[/C][/ROW]
[ROW][C]0.395[/C][C]-3.31743362204292[/C][C]1.31620762534262[/C][/ROW]
[ROW][C]0.4[/C][C]-3.20066114687320[/C][C]1.34158155999718[/C][/ROW]
[ROW][C]0.405[/C][C]-3.08195781188531[/C][C]1.37107363042396[/C][/ROW]
[ROW][C]0.41[/C][C]-2.96101058239984[/C][C]1.40454897446707[/C][/ROW]
[ROW][C]0.415[/C][C]-2.8375197651464[/C][C]1.44177648331470[/C][/ROW]
[ROW][C]0.42[/C][C]-2.71120499171359[/C][C]1.48243665241804[/C][/ROW]
[ROW][C]0.425[/C][C]-2.58181107378004[/C][C]1.52611583369066[/C][/ROW]
[ROW][C]0.43[/C][C]-2.44911357262889[/C][C]1.57234049790622[/C][/ROW]
[ROW][C]0.435[/C][C]-2.31292392742225[/C][C]1.62055946555663[/C][/ROW]
[ROW][C]0.44[/C][C]-2.17309399534495[/C][C]1.67017901609415[/C][/ROW]
[ROW][C]0.445[/C][C]-2.02951987185718[/C][C]1.72056020762269[/C][/ROW]
[ROW][C]0.45[/C][C]-1.8821448803497[/C][C]1.77104642685563[/C][/ROW]
[ROW][C]0.455[/C][C]-1.73096164651775[/C][C]1.82096626696383[/C][/ROW]
[ROW][C]0.46[/C][C]-1.57601320248104[/C][C]1.86965355303959[/C][/ROW]
[ROW][C]0.465[/C][C]-1.41739309755753[/C][C]1.91645868245316[/C][/ROW]
[ROW][C]0.47[/C][C]-1.25524452498308[/C][C]1.96076308651714[/C][/ROW]
[ROW][C]0.475[/C][C]-1.08975850506485[/C][C]2.00199111362263[/C][/ROW]
[ROW][C]0.48[/C][C]-0.921171193647948[/C][C]2.03961706748162[/C][/ROW]
[ROW][C]0.485[/C][C]-0.749760408938742[/C][C]2.07317220361735[/C][/ROW]
[ROW][C]0.49[/C][C]-0.57584148852465[/C][C]2.10225141939919[/C][/ROW]
[ROW][C]0.495[/C][C]-0.399762601074947[/C][C]2.12652022087165[/C][/ROW]
[ROW][C]0.5[/C][C]-0.221899643326425[/C][C]2.14571810746822[/C][/ROW]
[ROW][C]0.505[/C][C]-0.0426508525997339[/C][C]2.15964836285390[/C][/ROW]
[ROW][C]0.51[/C][C]0.137568741277085[/C][C]2.16818980336782[/C][/ROW]
[ROW][C]0.515[/C][C]0.31833291230585[/C][C]2.17128491425107[/C][/ROW]
[ROW][C]0.52[/C][C]0.499209786160147[/C][C]2.16894223139987[/C][/ROW]
[ROW][C]0.525[/C][C]0.679767261024057[/C][C]2.16123079074531[/C][/ROW]
[ROW][C]0.53[/C][C]0.859578242366897[/C][C]2.14826880347236[/C][/ROW]
[ROW][C]0.535[/C][C]1.03822565176066[/C][C]2.13023222350166[/C][/ROW]
[ROW][C]0.54[/C][C]1.21530718735771[/C][C]2.10733450263490[/C][/ROW]
[ROW][C]0.545[/C][C]1.39043982832128[/C][C]2.07983657839966[/C][/ROW]
[ROW][C]0.55[/C][C]1.56326408643495[/C][C]2.04803636261802[/C][/ROW]
[ROW][C]0.555[/C][C]1.73344801473437[/C][C]2.01226620817264[/C][/ROW]
[ROW][C]0.56[/C][C]1.90069098508566[/C][C]1.97289623941105[/C][/ROW]
[ROW][C]0.565[/C][C]2.06472724431392[/C][C]1.93031958370166[/C][/ROW]
[ROW][C]0.57[/C][C]2.22532925222419[/C][C]1.88498031619327[/C][/ROW]
[ROW][C]0.575[/C][C]2.38231079538851[/C][C]1.83733254551053[/C][/ROW]
[ROW][C]0.58[/C][C]2.53552985883373[/C][C]1.78787936078559[/C][/ROW]
[ROW][C]0.585[/C][C]2.68489122481259[/C][C]1.73714046076470[/C][/ROW]
[ROW][C]0.59[/C][C]2.83034875476962[/C][C]1.68567478290660[/C][/ROW]
[ROW][C]0.595[/C][C]2.97190729847354[/C][C]1.63406613321131[/C][/ROW]
[ROW][C]0.6[/C][C]3.10962416401667[/C][C]1.5829238135342[/C][/ROW]
[ROW][C]0.605[/C][C]3.24361007475384[/C][C]1.53287862365820[/C][/ROW]
[ROW][C]0.61[/C][C]3.37402953484859[/C][C]1.48458048886432[/C][/ROW]
[ROW][C]0.615[/C][C]3.50110052429145[/C][C]1.43869009332191[/C][/ROW]
[ROW][C]0.62[/C][C]3.62509344724236[/C][C]1.39587069879363[/C][/ROW]
[ROW][C]0.625[/C][C]3.74632926435535[/C][C]1.3567782345502[/C][/ROW]
[ROW][C]0.63[/C][C]3.8651767502764[/C][C]1.32205308897593[/C][/ROW]
[ROW][C]0.635[/C][C]3.98204883159809[/C][C]1.29229641614052[/C][/ROW]
[ROW][C]0.64[/C][C]4.09739797800346[/C][C]1.26806633331301[/C][/ROW]
[ROW][C]0.645[/C][C]4.21171063992684[/C][C]1.24984129052685[/C][/ROW]
[ROW][C]0.65[/C][C]4.32550074959831[/C][C]1.23800622046142[/C][/ROW]
[ROW][C]0.655[/C][C]4.43930232860931[/C][C]1.23284422737879[/C][/ROW]
[ROW][C]0.66[/C][C]4.55366127389851[/C][C]1.23450016487165[/C][/ROW]
[ROW][C]0.665[/C][C]4.66912642497419[/C][C]1.24297966884398[/C][/ROW]
[ROW][C]0.67[/C][C]4.78624004777872[/C][C]1.25812506625559[/C][/ROW]
[ROW][C]0.675[/C][C]4.90552790415213[/C][C]1.27963887020636[/C][/ROW]
[ROW][C]0.68[/C][C]5.02748910936453[/C][C]1.30706760049722[/C][/ROW]
[ROW][C]0.685[/C][C]5.15258601232544[/C][C]1.33982415614542[/C][/ROW]
[ROW][C]0.69[/C][C]5.28123436214578[/C][C]1.37719328761313[/C][/ROW]
[ROW][C]0.695[/C][C]5.41379404870059[/C][C]1.4183578120477[/C][/ROW]
[ROW][C]0.7[/C][C]5.55056072142814[/C][C]1.46241050512750[/C][/ROW]
[ROW][C]0.705[/C][C]5.69175859737847[/C][C]1.50837624096843[/C][/ROW]
[ROW][C]0.71[/C][C]5.83753476410063[/C][C]1.55524466688605[/C][/ROW]
[ROW][C]0.715[/C][C]5.98795526319325[/C][C]1.60196370837465[/C][/ROW]
[ROW][C]0.72[/C][C]6.14300320459158[/C][C]1.64749855844606[/C][/ROW]
[ROW][C]0.725[/C][C]6.30257910902553[/C][C]1.69083444427323[/C][/ROW]
[ROW][C]0.73[/C][C]6.46650360663808[/C][C]1.73101524868986[/C][/ROW]
[ROW][C]0.735[/C][C]6.63452253476202[/C][C]1.76716585699258[/C][/ROW]
[ROW][C]0.74[/C][C]6.80631437987715[/C][C]1.79850456402237[/C][/ROW]
[ROW][C]0.745[/C][C]6.98149990172039[/C][C]1.82439668162964[/C][/ROW]
[ROW][C]0.75[/C][C]7.1596536665775[/C][C]1.84435388488125[/C][/ROW]
[ROW][C]0.755[/C][C]7.34031710821474[/C][C]1.85805561103472[/C][/ROW]
[ROW][C]0.76[/C][C]7.52301263575094[/C][C]1.86534980035085[/C][/ROW]
[ROW][C]0.765[/C][C]7.70725822542024[/C][C]1.86628737526193[/C][/ROW]
[ROW][C]0.77[/C][C]7.89258187486646[/C][C]1.86108609632144[/C][/ROW]
[ROW][C]0.775[/C][C]8.07853527084647[/C][C]1.85015253553125[/C][/ROW]
[ROW][C]0.78[/C][C]8.26470602917918[/C][C]1.83402210207990[/C][/ROW]
[ROW][C]0.785[/C][C]8.4507279127408[/C][C]1.81338084399995[/C][/ROW]
[ROW][C]0.79[/C][C]8.63628852016588[/C][C]1.78899819040273[/C][/ROW]
[ROW][C]0.795[/C][C]8.82113406278549[/C][C]1.76171604229267[/C][/ROW]
[ROW][C]0.8[/C][C]9.00507100535194[/C][C]1.73236753298198[/C][/ROW]
[ROW][C]0.805[/C][C]9.18796452939988[/C][C]1.70177475064410[/C][/ROW]
[ROW][C]0.81[/C][C]9.36973397601763[/C][C]1.67067116980455[/C][/ROW]
[ROW][C]0.815[/C][C]9.55034562435043[/C][C]1.63968577976051[/C][/ROW]
[ROW][C]0.82[/C][C]9.7298033486669[/C][C]1.60929269050198[/C][/ROW]
[ROW][C]0.825[/C][C]9.9081378548866[/C][C]1.57979377981438[/C][/ROW]
[ROW][C]0.83[/C][C]10.0853953120651[/C][C]1.55132747366073[/C][/ROW]
[ROW][C]0.835[/C][C]10.2616262521366[/C][C]1.5238203925735[/C][/ROW]
[ROW][C]0.84[/C][C]10.4368756020483[/C][C]1.49709473440307[/C][/ROW]
[ROW][C]0.845[/C][C]10.611174630827[/C][C]1.47081960194916[/C][/ROW]
[ROW][C]0.85[/C][C]10.7845354409220[/C][C]1.44458865087105[/C][/ROW]
[ROW][C]0.855[/C][C]10.9569484169108[/C][C]1.41799040311388[/C][/ROW]
[ROW][C]0.86[/C][C]11.1283827826968[/C][C]1.39060595572445[/C][/ROW]
[ROW][C]0.865[/C][C]11.2987901372867[/C][C]1.36210705454331[/C][/ROW]
[ROW][C]0.87[/C][C]11.4681105743251[/C][C]1.33225748364161[/C][/ROW]
[ROW][C]0.875[/C][C]11.6362807833816[/C][C]1.30095599892346[/C][/ROW]
[ROW][C]0.88[/C][C]11.8032434252318[/C][C]1.26823506421517[/C][/ROW]
[ROW][C]0.885[/C][C]11.9689571081976[/C][C]1.23426780890235[/C][/ROW]
[ROW][C]0.89[/C][C]12.1334064936623[/C][C]1.19933613859320[/C][/ROW]
[ROW][C]0.895[/C][C]12.2966124276794[/C][C]1.16380572909677[/C][/ROW]
[ROW][C]0.9[/C][C]12.4586424985698[/C][C]1.12806726705551[/C][/ROW]
[ROW][C]0.905[/C][C]12.6196229794137[/C][C]1.09250351089396[/C][/ROW]
[ROW][C]0.91[/C][C]12.7797536005749[/C][C]1.05744537351460[/C][/ROW]
[ROW][C]0.915[/C][C]12.9393268296722[/C][C]1.02316228696713[/C][/ROW]
[ROW][C]0.92[/C][C]13.0987530832744[/C][C]0.98987512044374[/C][/ROW]
[ROW][C]0.925[/C][C]13.2585922778018[/C][C]0.957826290591393[/C][/ROW]
[ROW][C]0.93[/C][C]13.4195900253569[/C][C]0.927379294343034[/C][/ROW]
[ROW][C]0.935[/C][C]13.5827132391835[/C][C]0.899135303695486[/C][/ROW]
[ROW][C]0.94[/C][C]13.7491745883416[/C][C]0.874001609950008[/C][/ROW]
[ROW][C]0.945[/C][C]13.9204279304052[/C][C]0.853192589973755[/C][/ROW]
[ROW][C]0.95[/C][C]14.0981078200349[/C][C]0.838055139512749[/C][/ROW]
[ROW][C]0.955[/C][C]14.2838768013377[/C][C]0.829729057182702[/C][/ROW]
[ROW][C]0.96[/C][C]14.4791378828343[/C][C]0.828769415307032[/C][/ROW]
[ROW][C]0.965[/C][C]14.6845730356353[/C][C]0.834906887569674[/C][/ROW]
[ROW][C]0.97[/C][C]14.8994922991131[/C][C]0.847181950357847[/C][/ROW]
[ROW][C]0.975[/C][C]15.1210353219126[/C][C]0.864428029941655[/C][/ROW]
[ROW][C]0.98[/C][C]15.3433685806337[/C][C]0.885759324797239[/C][/ROW]
[ROW][C]0.985[/C][C]15.5571641597342[/C][C]0.91051347908891[/C][/ROW]
[ROW][C]0.99[/C][C]15.749796334279[/C][C]0.937394318543063[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20179&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20179&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
0.01-17.67483839065531.41356432730620
0.015-17.36639745810391.45153241134231
0.02-17.01535354558801.49443187969906
0.025-16.64095061660051.53136020670822
0.03-16.25890196455471.55422346689804
0.035-15.88067275797771.56017516863465
0.04-15.51375110495011.55110504163219
0.045-15.16237600181411.53179006441119
0.05-14.82836908212581.50789256885846
0.055-14.51188539220851.48453017389739
0.06-14.21201552740131.46546263648075
0.065-13.92723580422451.45284234427103
0.07-13.65572958201021.44739018008197
0.075-13.39560814624561.44877988914325
0.08-13.14505606431431.45608007236921
0.085-12.90242050648581.46808164037144
0.09-12.66625946606241.48359468992044
0.095-12.43536059401721.50152705282742
0.1-12.20874007565761.52098910675642
0.105-11.98562911132221.54119489913778
0.11-11.76545381860051.56148628973273
0.115-11.54781268102051.58121359076030
0.12-11.33245410276151.59974606757608
0.125-11.11925530991231.61640246249116
0.13-10.90820285957381.63055517595514
0.135-10.69937441488661.64154874990958
0.14-10.49292119343381.64879366824478
0.145-10.28905052992571.65183809418267
0.15-10.08800821862521.65037807924340
0.155-9.890060618966471.64429504430779
0.16-9.695476832264541.63369075055749
0.165-9.50451152179251.61891970659200
0.17-9.317389111007561.60045974706114
0.175-9.13429013819921.57900899592915
0.18-8.955340474417861.55539283913829
0.185-8.780603945356361.53048701556855
0.19-8.610078666953541.50521360404842
0.195-8.443697142928761.48044680188239
0.2-8.281329913182031.45698409812292
0.205-8.122792312972641.43549744380238
0.21-7.96785372454661.41649153246963
0.215-7.816248587460511.40028468209019
0.22-7.667688384938321.38704709387566
0.225-7.521873837620291.37676171550896
0.23-7.3785066038461.36925692179355
0.235-7.237299894336891.3642300811386
0.24-7.097987544298631.36130707320406
0.245-6.960331233086431.36005602127372
0.25-6.824125687623941.35999277953102
0.255-6.689201840070721.36066811236135
0.26-6.555428025014341.36163215139457
0.265-6.42270939195811.36247695189622
0.27-6.290985773153931.36285698588006
0.275-6.16022828538261.36247548815259
0.28-6.030434959484381.36112238044434
0.285-5.901625686964021.35863007648913
0.29-5.773836753232181.35491224765802
0.295-5.647115196629531.34994137984135
0.3-5.52151319575541.34374402604173
0.305-5.397082648760931.33642007742279
0.31-5.273870070456911.32810718763042
0.315-5.151911898844061.31897970352927
0.32-5.031230273704271.30927597696405
0.325-4.911829327129981.29925934435968
0.33-4.793692009552271.28920790525333
0.335-4.676777464600471.27945802531278
0.34-4.561018961156911.27033401539203
0.345-4.446322390087981.26220537099243
0.35-4.332565334945621.25545013962158
0.355-4.219596728965731.25044251556911
0.36-4.107237113490461.24757463927733
0.365-3.995279514196351.24722279423955
0.37-3.883490950133591.24975568668419
0.375-3.771614585785291.25551499418541
0.38-3.659372527709291.26481488106346
0.385-3.546469254774081.27791018084202
0.39-3.432595654878641.29499773636336
0.395-3.317433622042921.31620762534262
0.4-3.200661146873201.34158155999718
0.405-3.081957811885311.37107363042396
0.41-2.961010582399841.40454897446707
0.415-2.83751976514641.44177648331470
0.42-2.711204991713591.48243665241804
0.425-2.581811073780041.52611583369066
0.43-2.449113572628891.57234049790622
0.435-2.312923927422251.62055946555663
0.44-2.173093995344951.67017901609415
0.445-2.029519871857181.72056020762269
0.45-1.88214488034971.77104642685563
0.455-1.730961646517751.82096626696383
0.46-1.576013202481041.86965355303959
0.465-1.417393097557531.91645868245316
0.47-1.255244524983081.96076308651714
0.475-1.089758505064852.00199111362263
0.48-0.9211711936479482.03961706748162
0.485-0.7497604089387422.07317220361735
0.49-0.575841488524652.10225141939919
0.495-0.3997626010749472.12652022087165
0.5-0.2218996433264252.14571810746822
0.505-0.04265085259973392.15964836285390
0.510.1375687412770852.16818980336782
0.5150.318332912305852.17128491425107
0.520.4992097861601472.16894223139987
0.5250.6797672610240572.16123079074531
0.530.8595782423668972.14826880347236
0.5351.038225651760662.13023222350166
0.541.215307187357712.10733450263490
0.5451.390439828321282.07983657839966
0.551.563264086434952.04803636261802
0.5551.733448014734372.01226620817264
0.561.900690985085661.97289623941105
0.5652.064727244313921.93031958370166
0.572.225329252224191.88498031619327
0.5752.382310795388511.83733254551053
0.582.535529858833731.78787936078559
0.5852.684891224812591.73714046076470
0.592.830348754769621.68567478290660
0.5952.971907298473541.63406613321131
0.63.109624164016671.5829238135342
0.6053.243610074753841.53287862365820
0.613.374029534848591.48458048886432
0.6153.501100524291451.43869009332191
0.623.625093447242361.39587069879363
0.6253.746329264355351.3567782345502
0.633.86517675027641.32205308897593
0.6353.982048831598091.29229641614052
0.644.097397978003461.26806633331301
0.6454.211710639926841.24984129052685
0.654.325500749598311.23800622046142
0.6554.439302328609311.23284422737879
0.664.553661273898511.23450016487165
0.6654.669126424974191.24297966884398
0.674.786240047778721.25812506625559
0.6754.905527904152131.27963887020636
0.685.027489109364531.30706760049722
0.6855.152586012325441.33982415614542
0.695.281234362145781.37719328761313
0.6955.413794048700591.4183578120477
0.75.550560721428141.46241050512750
0.7055.691758597378471.50837624096843
0.715.837534764100631.55524466688605
0.7155.987955263193251.60196370837465
0.726.143003204591581.64749855844606
0.7256.302579109025531.69083444427323
0.736.466503606638081.73101524868986
0.7356.634522534762021.76716585699258
0.746.806314379877151.79850456402237
0.7456.981499901720391.82439668162964
0.757.15965366657751.84435388488125
0.7557.340317108214741.85805561103472
0.767.523012635750941.86534980035085
0.7657.707258225420241.86628737526193
0.777.892581874866461.86108609632144
0.7758.078535270846471.85015253553125
0.788.264706029179181.83402210207990
0.7858.45072791274081.81338084399995
0.798.636288520165881.78899819040273
0.7958.821134062785491.76171604229267
0.89.005071005351941.73236753298198
0.8059.187964529399881.70177475064410
0.819.369733976017631.67067116980455
0.8159.550345624350431.63968577976051
0.829.72980334866691.60929269050198
0.8259.90813785488661.57979377981438
0.8310.08539531206511.55132747366073
0.83510.26162625213661.5238203925735
0.8410.43687560204831.49709473440307
0.84510.6111746308271.47081960194916
0.8510.78453544092201.44458865087105
0.85510.95694841691081.41799040311388
0.8611.12838278269681.39060595572445
0.86511.29879013728671.36210705454331
0.8711.46811057432511.33225748364161
0.87511.63628078338161.30095599892346
0.8811.80324342523181.26823506421517
0.88511.96895710819761.23426780890235
0.8912.13340649366231.19933613859320
0.89512.29661242767941.16380572909677
0.912.45864249856981.12806726705551
0.90512.61962297941371.09250351089396
0.9112.77975360057491.05744537351460
0.91512.93932682967221.02316228696713
0.9213.09875308327440.98987512044374
0.92513.25859227780180.957826290591393
0.9313.41959002535690.927379294343034
0.93513.58271323918350.899135303695486
0.9413.74917458834160.874001609950008
0.94513.92042793040520.853192589973755
0.9514.09810782003490.838055139512749
0.95514.28387680133770.829729057182702
0.9614.47913788283430.828769415307032
0.96514.68457303563530.834906887569674
0.9714.89949229911310.847181950357847
0.97515.12103532191260.864428029941655
0.9815.34336858063370.885759324797239
0.98515.55716415973420.91051347908891
0.9915.7497963342790.937394318543063


Figures (Output of Computation)

Input Parameters & R Code

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')