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Description of Statistical Computation

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 computationMon, 20 Oct 2008 13:55:44 -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/20/t1224532852j8m2nct06p32h0l.htm/, Retrieved Sun, 19 May 2024 15:56:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18031, Retrieved Sun, 19 May 2024 15:56:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
F    D    [Harrell-Davis Quantiles] [Task 2 ] [2008-10-20 19:55:44] [c60a842d48931bd392d024d8e9ef4583] [Current]
F           [Harrell-Davis Quantiles] [Investigating ass...] [2008-10-20 20:32:18] [cbd3d88cd5aad6543e769146e7e26b0c]
-           [Harrell-Davis Quantiles] [] [2008-10-20 22:47:06] [1376d48f59a7212e8dd85a587491a69b]
Feedback Forum
2008-10-25 13:38:05 [Astrid Sniekers] [reply] 
Vraag 1 taak 2:
Het antwoord van de student is fout. Dit komt omdat hij de berekening heeft uitgevoerd van MAART 2006 tot en met juli 2008. Hij had deze berekening moeten doen van APRIL 2006 tot en met juli 2008.

http://www.freestatistics.org/blog/date/2008/Oct/25/t1224928811prpg2r8ulezhrgc.htm

Om dit interval te kunnen berekenen laten we 2,5% wegvallen in elke staart. Zo zien we dat er 95% kans bestaat dat de waarden van de totale productie tussen 87,46 en 121,41 liggen.

87,46 verkrijgen we door in de kolom “Value” te gaan kijken bij het cijfer 0.025. 121,41 verkrijgen we door in de kolom “Value” te gaan kijken naar het cijfer 0.975.

==> P (87,46 < Total Production < 121,41) = 95%

De waarden van de productie van deze recentere gegevens (2006/04-2008/07) liggen hoger dan de waarden van de productie van de vorige gegevens.

2007/03 => 118.8
De totale productie ligt hier binnen het betrouwbaarheidsinterval.

2007/06 => 117.2
De totale productie ligt hier binnen het betrouwbaarheidsinterval.

2007/10 => 122.4
De totale productie ligt hier net buiten het betrouwbaarheidsinterval.

2008/04 => 117.3
De totale productie ligt hier binnen het betrouwbaarheidsinterval.


Vraag 2 taak 2:
Dit had de student kunnen oplossen aan de hand van de Harrell-Davis-techniek.
http://www.freestatistics.org/blog/date/2008/Oct/25/t1224924453424uuv5vh70oe0i.htm
Bij 1/1000% is er nog geen 122,4. De kans is bijgevolg heel klein. We gaan er niet geraken.
We kunnen ook zien dat de waarschijnlijkheid niet voorkomt aangezien het hoogste cijfer in onze datareeks 122.4 bedraagt (2007/10) en er zich geen getal hoger dan 122.4 bevindt. We kunnen besluiten dat als de totale productie groter is dan 122,4 dit een zeer zeldzame waarde/verschijning is.
2008-10-26 19:30:47 [Kristof Augustyns] [reply] 
Het is hetzelfde principe als in de vorige oefeningen 'Q6' en 'Q7'.
Hier is wel een fout begaan door niet de juiste periodes te nemen.
Het is niet van Maart 2006 maar vanaf April 2006 en er is hier dus een maand teveel genomen.
We nemen dus uit elke staart 2,5% of 0,025 en de 'step size' naar 0,005 brengen natuurlijk.
Na het doen van die berekening weten we dat er 95% kans bestaat dat de waarden van de totale productie tussen de 87.4580773247206 en 121.407714397964 ligt.
https://automated.biganalytics.eu/rwasp_harrell_davies.wasp?parent=t1224928811prpg2r8ulezhrgc

2007/03 = 118,80 (binnen betrouwbaarheidsinterval)
2007/06 = 117,20 (binnen betrouwbaarheidsinterval)
2007/10 = 122,40 (buiten betrouwbaarheidsinterval)
2008/04 = 178,80 (buiten betrouwbaarheidsinterval)
--> De twee laatsten liggen niet in betrouwbaarheidsinterval en dat is dan die overige 5% --> 5% kans dat in 2007/10 de waarde 122,40 is en dit idem voor 2008/04

Student heeft voornamelijk een fout gemaakt in de maanden, maar voor de rest snapt hij het principe wel.


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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
115.9
95.7

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18031&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18031&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18031&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.05829734474126.56358681669999
0.01586.49959296850446.37642892040738
0.0287.00283463757166.17099727662874
0.02587.55666299918555.95479122507851
0.0388.14932297870395.73503208026585
0.03588.76932933918525.51801421697308
0.0489.40596920406625.30879796239105
0.04590.0496450730285.11097664536034
0.0590.69207390184274.92656513328642
0.05591.32636507688494.75612129644134
0.0691.94700333619164.59910142102013
0.06592.54976277940574.45393264129171
0.0793.13157599664424.31856663033166
0.07593.69037887982014.19079621195039
0.0894.22494756996784.06839568115753
0.08594.734739788853.94944508981137
0.0995.21974888798173.83244448863706
0.09595.6803755619853.71636548518462
0.196.11731943316233.60068305538627
0.10596.53149064467593.48528891454305
0.1196.92394016000743.37044555603440
0.11597.29580657538943.25685017561372
0.1297.64827680849373.14533029712051
0.12597.98255792489963.03696376944486
0.1398.29985750365082.93287025964645
0.13598.60137023689472.83414940046838
0.1498.88826883417442.74192677697621
0.14599.1616977039712.6572035738791
0.1599.42276827373932.58078710488062
0.15599.67255515889052.51333314847291
0.1699.91209268627042.45519062130259
0.165100.1423715127612.40650752852493
0.17100.3643352552862.36718326307195
0.175100.5788771695962.33690708487985
0.18100.7868369891632.31497234400202
0.185100.9889980710352.30079977700504
0.19101.1860850013522.29338905492568
0.195101.3787617977612.29190547094413
0.2101.5676308166552.29526318321961
0.205101.7532324360562.30252047202704
0.21101.9360455452972.31281388958586
0.215102.1164888340382.32516702636254
0.22102.2949228383842.33876068328338
0.225102.4716526726892.35297153651378
0.23102.6469313529762.36715668748929
0.235102.8209636021162.38083179529061
0.24102.9939100177932.39352114309589
0.245103.1658914813912.40494797669403
0.25103.3369936884022.41484354976229
0.255103.5072716880482.42310645614886
0.26103.6767543304042.42960611767456
0.265103.84544853262.4342703840678
0.27104.0133432906512.43715316446503
0.275104.1804133793642.43830028632668
0.28104.3466226987752.43777819978374
0.285104.5119272411212.43562302742734
0.29104.6762776668862.43206766285037
0.295104.8396214916172.42716295652558
0.3105.0019048965812.42104507162805
0.305105.1630741859442.41383582573263
0.31105.3230769206092.40558949657296
0.315105.4818627644552.39637471181384
0.32105.6393840821982.38637426582023
0.325105.7955963298962.37556667774806
0.33105.9504582790812.36397647064615
0.335106.1039321140892.35162511794229
0.34106.2559834394482.33860187352343
0.345106.4065812304332.32488747001164
0.35106.5556977554342.31036578670808
0.355106.7033084937572.29515168881022
0.36106.8493920671942.27918158685009
0.365106.9939301983722.26247536400099
0.37107.1369077036912.2450235943286
0.375107.2783125238112.22682393730560
0.38107.4181357903002.20792830253030
0.385107.5563719232442.18830894458935
0.39107.6930187516202.16810566450578
0.395107.8280776458452.14731045926592
0.4107.9615536504392.12598066031099
0.405108.0934556039462.10429832129964
0.41108.2237962332712.08234828206540
0.415108.3525922102642.06012079219611
0.42108.4798641596942.03788297474955
0.425108.6056366095822.01567595101247
0.43108.7299378771271.99371770556511
0.435108.8527998859981.97202036725717
0.44108.9742579135441.95077611484547
0.445109.0943502692401.93008464514825
0.45109.2131179085141.91000720854464
0.455109.3306039886691.89073926792230
0.46109.4468533759761.87218676924315
0.465109.5619121150511.85454747260100
0.47109.6758268732031.83778249860270
0.475109.7886443736261.82189738894724
0.48109.9004108318961.80693720971936
0.485110.0111714104241.79279074553145
0.49110.1209697051061.77942776901245
0.495110.2298472775471.76677027425945
0.5110.3378432449291.75478564281442
0.505110.4449939378451.74337056852461
0.51110.5513326343981.73234514582504
0.515110.6568893765011.72172902715393
0.52110.7616908718541.71121774133604
0.525110.8657604824301.70088295890129
0.53110.9691182977461.69057348932328
0.535111.0717812886491.68011030397789
0.54111.1737635349761.66952659655780
0.545111.2750765183721.65869126663851
0.55111.3757294696871.64756212964603
0.555111.4757297589651.63607131244628
0.56111.5750833149641.62423375337559
0.565111.6737950605491.61201563758113
0.57111.7718693501251.59939234271936
0.575111.8693103955671.58647629691431
0.58111.9661226677971.57323240545929
0.585112.0623112622931.55967044623113
0.59112.1578822182481.54593392502382
0.595112.2528427829011.53206662688511
0.6112.3472016145451.51808095820609
0.605112.4409689198991.5040935625176
0.61112.5341565238121.49022685235454
0.615112.6267778715351.47645671893451
0.62112.7188479660351.46292628775564
0.625112.8103832448931.44962442178017
0.63112.9014014032421.43664971587352
0.635112.9919211707791.42403432487807
0.64113.0819620522311.41174410340839
0.645113.1715440415711.39984434953546
0.65113.2606873208751.38835799261836
0.655113.3494119548911.37723336728445
0.66113.4377375921661.36645462294729
0.665113.5256831830531.35600415456670
0.67113.6132667239501.34580755307699
0.675113.7005050359921.33581725012045
0.68113.7874135849341.32604751059815
0.685113.8740063474191.31630538249059
0.69113.9602957271081.30666635313274
0.695114.0462925225101.29699798193800
0.7114.1320059467331.28727813962631
0.705114.2174436979521.27742727525820
0.71114.3026120782791.26743865488121
0.715114.3875161578261.25725588559934
0.72114.4721599804251.24683421356322
0.725114.5565468074941.23621834239010
0.73114.6406793971711.22531564660223
0.735114.7245603169841.21419240548595
0.74114.8081922901071.20278508395883
0.745114.8915785775401.19118064340633
0.75114.9747234014751.17934554893453
0.755115.0576324184621.16731136159378
0.76115.1403132548521.15511096161039
0.765115.2227761211651.14280211701278
0.77115.3050345264311.13034258780385
0.775115.3871061181091.11781171182172
0.78115.4690136775851.10524953761648
0.785115.5507863055091.09266728153427
0.79115.6324608349511.08010233382098
0.795115.7140835133981.06757934826091
0.8115.7957119966851.05513277036232
0.805115.8774176986791.04283511984611
0.81115.9592885395321.03072925650429
0.815116.0414321320441.01887954832263
0.82116.1239794396071.00736134325336
0.825116.2070889293310.996355117650104
0.83116.2909512295330.985941387841682
0.835116.3757942803700.976358950294733
0.84116.4618889386430.967833855973594
0.845116.5495549608380.960674355131194
0.85116.6391672404330.955207377223446
0.855116.7311621140890.951958284486834
0.86116.8260434745940.95135748638014
0.865116.9243883344090.954034987771256
0.87117.0268513713730.960649097081175
0.875117.1341678575790.971909566344526
0.88117.2471542259320.988539015689508
0.885117.3667053714111.01141579744164
0.89117.4937876245181.04123775871573
0.895117.6294261869011.07878883457526
0.9117.7746857035931.12475779029673
0.905117.9306425897351.17974548218623
0.91118.0983477660381.24430641923506
0.915118.2787786274891.31886275549709
0.92118.4727794197421.40374575285475
0.925118.6809897750711.49912655805519
0.93118.9037620090531.60505386686104
0.935119.1410689339591.72135990805122
0.94119.3924054181131.84763011909178
0.945119.6566886923771.98314542395833
0.95119.9321644093502.12685490081323
0.955120.2163275713862.27724659244259
0.96120.5058694612852.43238465318028
0.965120.7966633554592.58981198809861
0.97121.0838027150252.74662278898925
0.975121.3617053101412.89945764298738
0.98121.6242948746243.04466607150813
0.985121.8652679621263.17844096832103
0.99122.0784473193373.29704415274786

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.0582973447412 & 6.56358681669999 \tabularnewline
0.015 & 86.4995929685044 & 6.37642892040738 \tabularnewline
0.02 & 87.0028346375716 & 6.17099727662874 \tabularnewline
0.025 & 87.5566629991855 & 5.95479122507851 \tabularnewline
0.03 & 88.1493229787039 & 5.73503208026585 \tabularnewline
0.035 & 88.7693293391852 & 5.51801421697308 \tabularnewline
0.04 & 89.4059692040662 & 5.30879796239105 \tabularnewline
0.045 & 90.049645073028 & 5.11097664536034 \tabularnewline
0.05 & 90.6920739018427 & 4.92656513328642 \tabularnewline
0.055 & 91.3263650768849 & 4.75612129644134 \tabularnewline
0.06 & 91.9470033361916 & 4.59910142102013 \tabularnewline
0.065 & 92.5497627794057 & 4.45393264129171 \tabularnewline
0.07 & 93.1315759966442 & 4.31856663033166 \tabularnewline
0.075 & 93.6903788798201 & 4.19079621195039 \tabularnewline
0.08 & 94.2249475699678 & 4.06839568115753 \tabularnewline
0.085 & 94.73473978885 & 3.94944508981137 \tabularnewline
0.09 & 95.2197488879817 & 3.83244448863706 \tabularnewline
0.095 & 95.680375561985 & 3.71636548518462 \tabularnewline
0.1 & 96.1173194331623 & 3.60068305538627 \tabularnewline
0.105 & 96.5314906446759 & 3.48528891454305 \tabularnewline
0.11 & 96.9239401600074 & 3.37044555603440 \tabularnewline
0.115 & 97.2958065753894 & 3.25685017561372 \tabularnewline
0.12 & 97.6482768084937 & 3.14533029712051 \tabularnewline
0.125 & 97.9825579248996 & 3.03696376944486 \tabularnewline
0.13 & 98.2998575036508 & 2.93287025964645 \tabularnewline
0.135 & 98.6013702368947 & 2.83414940046838 \tabularnewline
0.14 & 98.8882688341744 & 2.74192677697621 \tabularnewline
0.145 & 99.161697703971 & 2.6572035738791 \tabularnewline
0.15 & 99.4227682737393 & 2.58078710488062 \tabularnewline
0.155 & 99.6725551588905 & 2.51333314847291 \tabularnewline
0.16 & 99.9120926862704 & 2.45519062130259 \tabularnewline
0.165 & 100.142371512761 & 2.40650752852493 \tabularnewline
0.17 & 100.364335255286 & 2.36718326307195 \tabularnewline
0.175 & 100.578877169596 & 2.33690708487985 \tabularnewline
0.18 & 100.786836989163 & 2.31497234400202 \tabularnewline
0.185 & 100.988998071035 & 2.30079977700504 \tabularnewline
0.19 & 101.186085001352 & 2.29338905492568 \tabularnewline
0.195 & 101.378761797761 & 2.29190547094413 \tabularnewline
0.2 & 101.567630816655 & 2.29526318321961 \tabularnewline
0.205 & 101.753232436056 & 2.30252047202704 \tabularnewline
0.21 & 101.936045545297 & 2.31281388958586 \tabularnewline
0.215 & 102.116488834038 & 2.32516702636254 \tabularnewline
0.22 & 102.294922838384 & 2.33876068328338 \tabularnewline
0.225 & 102.471652672689 & 2.35297153651378 \tabularnewline
0.23 & 102.646931352976 & 2.36715668748929 \tabularnewline
0.235 & 102.820963602116 & 2.38083179529061 \tabularnewline
0.24 & 102.993910017793 & 2.39352114309589 \tabularnewline
0.245 & 103.165891481391 & 2.40494797669403 \tabularnewline
0.25 & 103.336993688402 & 2.41484354976229 \tabularnewline
0.255 & 103.507271688048 & 2.42310645614886 \tabularnewline
0.26 & 103.676754330404 & 2.42960611767456 \tabularnewline
0.265 & 103.8454485326 & 2.4342703840678 \tabularnewline
0.27 & 104.013343290651 & 2.43715316446503 \tabularnewline
0.275 & 104.180413379364 & 2.43830028632668 \tabularnewline
0.28 & 104.346622698775 & 2.43777819978374 \tabularnewline
0.285 & 104.511927241121 & 2.43562302742734 \tabularnewline
0.29 & 104.676277666886 & 2.43206766285037 \tabularnewline
0.295 & 104.839621491617 & 2.42716295652558 \tabularnewline
0.3 & 105.001904896581 & 2.42104507162805 \tabularnewline
0.305 & 105.163074185944 & 2.41383582573263 \tabularnewline
0.31 & 105.323076920609 & 2.40558949657296 \tabularnewline
0.315 & 105.481862764455 & 2.39637471181384 \tabularnewline
0.32 & 105.639384082198 & 2.38637426582023 \tabularnewline
0.325 & 105.795596329896 & 2.37556667774806 \tabularnewline
0.33 & 105.950458279081 & 2.36397647064615 \tabularnewline
0.335 & 106.103932114089 & 2.35162511794229 \tabularnewline
0.34 & 106.255983439448 & 2.33860187352343 \tabularnewline
0.345 & 106.406581230433 & 2.32488747001164 \tabularnewline
0.35 & 106.555697755434 & 2.31036578670808 \tabularnewline
0.355 & 106.703308493757 & 2.29515168881022 \tabularnewline
0.36 & 106.849392067194 & 2.27918158685009 \tabularnewline
0.365 & 106.993930198372 & 2.26247536400099 \tabularnewline
0.37 & 107.136907703691 & 2.2450235943286 \tabularnewline
0.375 & 107.278312523811 & 2.22682393730560 \tabularnewline
0.38 & 107.418135790300 & 2.20792830253030 \tabularnewline
0.385 & 107.556371923244 & 2.18830894458935 \tabularnewline
0.39 & 107.693018751620 & 2.16810566450578 \tabularnewline
0.395 & 107.828077645845 & 2.14731045926592 \tabularnewline
0.4 & 107.961553650439 & 2.12598066031099 \tabularnewline
0.405 & 108.093455603946 & 2.10429832129964 \tabularnewline
0.41 & 108.223796233271 & 2.08234828206540 \tabularnewline
0.415 & 108.352592210264 & 2.06012079219611 \tabularnewline
0.42 & 108.479864159694 & 2.03788297474955 \tabularnewline
0.425 & 108.605636609582 & 2.01567595101247 \tabularnewline
0.43 & 108.729937877127 & 1.99371770556511 \tabularnewline
0.435 & 108.852799885998 & 1.97202036725717 \tabularnewline
0.44 & 108.974257913544 & 1.95077611484547 \tabularnewline
0.445 & 109.094350269240 & 1.93008464514825 \tabularnewline
0.45 & 109.213117908514 & 1.91000720854464 \tabularnewline
0.455 & 109.330603988669 & 1.89073926792230 \tabularnewline
0.46 & 109.446853375976 & 1.87218676924315 \tabularnewline
0.465 & 109.561912115051 & 1.85454747260100 \tabularnewline
0.47 & 109.675826873203 & 1.83778249860270 \tabularnewline
0.475 & 109.788644373626 & 1.82189738894724 \tabularnewline
0.48 & 109.900410831896 & 1.80693720971936 \tabularnewline
0.485 & 110.011171410424 & 1.79279074553145 \tabularnewline
0.49 & 110.120969705106 & 1.77942776901245 \tabularnewline
0.495 & 110.229847277547 & 1.76677027425945 \tabularnewline
0.5 & 110.337843244929 & 1.75478564281442 \tabularnewline
0.505 & 110.444993937845 & 1.74337056852461 \tabularnewline
0.51 & 110.551332634398 & 1.73234514582504 \tabularnewline
0.515 & 110.656889376501 & 1.72172902715393 \tabularnewline
0.52 & 110.761690871854 & 1.71121774133604 \tabularnewline
0.525 & 110.865760482430 & 1.70088295890129 \tabularnewline
0.53 & 110.969118297746 & 1.69057348932328 \tabularnewline
0.535 & 111.071781288649 & 1.68011030397789 \tabularnewline
0.54 & 111.173763534976 & 1.66952659655780 \tabularnewline
0.545 & 111.275076518372 & 1.65869126663851 \tabularnewline
0.55 & 111.375729469687 & 1.64756212964603 \tabularnewline
0.555 & 111.475729758965 & 1.63607131244628 \tabularnewline
0.56 & 111.575083314964 & 1.62423375337559 \tabularnewline
0.565 & 111.673795060549 & 1.61201563758113 \tabularnewline
0.57 & 111.771869350125 & 1.59939234271936 \tabularnewline
0.575 & 111.869310395567 & 1.58647629691431 \tabularnewline
0.58 & 111.966122667797 & 1.57323240545929 \tabularnewline
0.585 & 112.062311262293 & 1.55967044623113 \tabularnewline
0.59 & 112.157882218248 & 1.54593392502382 \tabularnewline
0.595 & 112.252842782901 & 1.53206662688511 \tabularnewline
0.6 & 112.347201614545 & 1.51808095820609 \tabularnewline
0.605 & 112.440968919899 & 1.5040935625176 \tabularnewline
0.61 & 112.534156523812 & 1.49022685235454 \tabularnewline
0.615 & 112.626777871535 & 1.47645671893451 \tabularnewline
0.62 & 112.718847966035 & 1.46292628775564 \tabularnewline
0.625 & 112.810383244893 & 1.44962442178017 \tabularnewline
0.63 & 112.901401403242 & 1.43664971587352 \tabularnewline
0.635 & 112.991921170779 & 1.42403432487807 \tabularnewline
0.64 & 113.081962052231 & 1.41174410340839 \tabularnewline
0.645 & 113.171544041571 & 1.39984434953546 \tabularnewline
0.65 & 113.260687320875 & 1.38835799261836 \tabularnewline
0.655 & 113.349411954891 & 1.37723336728445 \tabularnewline
0.66 & 113.437737592166 & 1.36645462294729 \tabularnewline
0.665 & 113.525683183053 & 1.35600415456670 \tabularnewline
0.67 & 113.613266723950 & 1.34580755307699 \tabularnewline
0.675 & 113.700505035992 & 1.33581725012045 \tabularnewline
0.68 & 113.787413584934 & 1.32604751059815 \tabularnewline
0.685 & 113.874006347419 & 1.31630538249059 \tabularnewline
0.69 & 113.960295727108 & 1.30666635313274 \tabularnewline
0.695 & 114.046292522510 & 1.29699798193800 \tabularnewline
0.7 & 114.132005946733 & 1.28727813962631 \tabularnewline
0.705 & 114.217443697952 & 1.27742727525820 \tabularnewline
0.71 & 114.302612078279 & 1.26743865488121 \tabularnewline
0.715 & 114.387516157826 & 1.25725588559934 \tabularnewline
0.72 & 114.472159980425 & 1.24683421356322 \tabularnewline
0.725 & 114.556546807494 & 1.23621834239010 \tabularnewline
0.73 & 114.640679397171 & 1.22531564660223 \tabularnewline
0.735 & 114.724560316984 & 1.21419240548595 \tabularnewline
0.74 & 114.808192290107 & 1.20278508395883 \tabularnewline
0.745 & 114.891578577540 & 1.19118064340633 \tabularnewline
0.75 & 114.974723401475 & 1.17934554893453 \tabularnewline
0.755 & 115.057632418462 & 1.16731136159378 \tabularnewline
0.76 & 115.140313254852 & 1.15511096161039 \tabularnewline
0.765 & 115.222776121165 & 1.14280211701278 \tabularnewline
0.77 & 115.305034526431 & 1.13034258780385 \tabularnewline
0.775 & 115.387106118109 & 1.11781171182172 \tabularnewline
0.78 & 115.469013677585 & 1.10524953761648 \tabularnewline
0.785 & 115.550786305509 & 1.09266728153427 \tabularnewline
0.79 & 115.632460834951 & 1.08010233382098 \tabularnewline
0.795 & 115.714083513398 & 1.06757934826091 \tabularnewline
0.8 & 115.795711996685 & 1.05513277036232 \tabularnewline
0.805 & 115.877417698679 & 1.04283511984611 \tabularnewline
0.81 & 115.959288539532 & 1.03072925650429 \tabularnewline
0.815 & 116.041432132044 & 1.01887954832263 \tabularnewline
0.82 & 116.123979439607 & 1.00736134325336 \tabularnewline
0.825 & 116.207088929331 & 0.996355117650104 \tabularnewline
0.83 & 116.290951229533 & 0.985941387841682 \tabularnewline
0.835 & 116.375794280370 & 0.976358950294733 \tabularnewline
0.84 & 116.461888938643 & 0.967833855973594 \tabularnewline
0.845 & 116.549554960838 & 0.960674355131194 \tabularnewline
0.85 & 116.639167240433 & 0.955207377223446 \tabularnewline
0.855 & 116.731162114089 & 0.951958284486834 \tabularnewline
0.86 & 116.826043474594 & 0.95135748638014 \tabularnewline
0.865 & 116.924388334409 & 0.954034987771256 \tabularnewline
0.87 & 117.026851371373 & 0.960649097081175 \tabularnewline
0.875 & 117.134167857579 & 0.971909566344526 \tabularnewline
0.88 & 117.247154225932 & 0.988539015689508 \tabularnewline
0.885 & 117.366705371411 & 1.01141579744164 \tabularnewline
0.89 & 117.493787624518 & 1.04123775871573 \tabularnewline
0.895 & 117.629426186901 & 1.07878883457526 \tabularnewline
0.9 & 117.774685703593 & 1.12475779029673 \tabularnewline
0.905 & 117.930642589735 & 1.17974548218623 \tabularnewline
0.91 & 118.098347766038 & 1.24430641923506 \tabularnewline
0.915 & 118.278778627489 & 1.31886275549709 \tabularnewline
0.92 & 118.472779419742 & 1.40374575285475 \tabularnewline
0.925 & 118.680989775071 & 1.49912655805519 \tabularnewline
0.93 & 118.903762009053 & 1.60505386686104 \tabularnewline
0.935 & 119.141068933959 & 1.72135990805122 \tabularnewline
0.94 & 119.392405418113 & 1.84763011909178 \tabularnewline
0.945 & 119.656688692377 & 1.98314542395833 \tabularnewline
0.95 & 119.932164409350 & 2.12685490081323 \tabularnewline
0.955 & 120.216327571386 & 2.27724659244259 \tabularnewline
0.96 & 120.505869461285 & 2.43238465318028 \tabularnewline
0.965 & 120.796663355459 & 2.58981198809861 \tabularnewline
0.97 & 121.083802715025 & 2.74662278898925 \tabularnewline
0.975 & 121.361705310141 & 2.89945764298738 \tabularnewline
0.98 & 121.624294874624 & 3.04466607150813 \tabularnewline
0.985 & 121.865267962126 & 3.17844096832103 \tabularnewline
0.99 & 122.078447319337 & 3.29704415274786 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18031&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]86.0582973447412[/C][C]6.56358681669999[/C][/ROW]
[ROW][C]0.015[/C][C]86.4995929685044[/C][C]6.37642892040738[/C][/ROW]
[ROW][C]0.02[/C][C]87.0028346375716[/C][C]6.17099727662874[/C][/ROW]
[ROW][C]0.025[/C][C]87.5566629991855[/C][C]5.95479122507851[/C][/ROW]
[ROW][C]0.03[/C][C]88.1493229787039[/C][C]5.73503208026585[/C][/ROW]
[ROW][C]0.035[/C][C]88.7693293391852[/C][C]5.51801421697308[/C][/ROW]
[ROW][C]0.04[/C][C]89.4059692040662[/C][C]5.30879796239105[/C][/ROW]
[ROW][C]0.045[/C][C]90.049645073028[/C][C]5.11097664536034[/C][/ROW]
[ROW][C]0.05[/C][C]90.6920739018427[/C][C]4.92656513328642[/C][/ROW]
[ROW][C]0.055[/C][C]91.3263650768849[/C][C]4.75612129644134[/C][/ROW]
[ROW][C]0.06[/C][C]91.9470033361916[/C][C]4.59910142102013[/C][/ROW]
[ROW][C]0.065[/C][C]92.5497627794057[/C][C]4.45393264129171[/C][/ROW]
[ROW][C]0.07[/C][C]93.1315759966442[/C][C]4.31856663033166[/C][/ROW]
[ROW][C]0.075[/C][C]93.6903788798201[/C][C]4.19079621195039[/C][/ROW]
[ROW][C]0.08[/C][C]94.2249475699678[/C][C]4.06839568115753[/C][/ROW]
[ROW][C]0.085[/C][C]94.73473978885[/C][C]3.94944508981137[/C][/ROW]
[ROW][C]0.09[/C][C]95.2197488879817[/C][C]3.83244448863706[/C][/ROW]
[ROW][C]0.095[/C][C]95.680375561985[/C][C]3.71636548518462[/C][/ROW]
[ROW][C]0.1[/C][C]96.1173194331623[/C][C]3.60068305538627[/C][/ROW]
[ROW][C]0.105[/C][C]96.5314906446759[/C][C]3.48528891454305[/C][/ROW]
[ROW][C]0.11[/C][C]96.9239401600074[/C][C]3.37044555603440[/C][/ROW]
[ROW][C]0.115[/C][C]97.2958065753894[/C][C]3.25685017561372[/C][/ROW]
[ROW][C]0.12[/C][C]97.6482768084937[/C][C]3.14533029712051[/C][/ROW]
[ROW][C]0.125[/C][C]97.9825579248996[/C][C]3.03696376944486[/C][/ROW]
[ROW][C]0.13[/C][C]98.2998575036508[/C][C]2.93287025964645[/C][/ROW]
[ROW][C]0.135[/C][C]98.6013702368947[/C][C]2.83414940046838[/C][/ROW]
[ROW][C]0.14[/C][C]98.8882688341744[/C][C]2.74192677697621[/C][/ROW]
[ROW][C]0.145[/C][C]99.161697703971[/C][C]2.6572035738791[/C][/ROW]
[ROW][C]0.15[/C][C]99.4227682737393[/C][C]2.58078710488062[/C][/ROW]
[ROW][C]0.155[/C][C]99.6725551588905[/C][C]2.51333314847291[/C][/ROW]
[ROW][C]0.16[/C][C]99.9120926862704[/C][C]2.45519062130259[/C][/ROW]
[ROW][C]0.165[/C][C]100.142371512761[/C][C]2.40650752852493[/C][/ROW]
[ROW][C]0.17[/C][C]100.364335255286[/C][C]2.36718326307195[/C][/ROW]
[ROW][C]0.175[/C][C]100.578877169596[/C][C]2.33690708487985[/C][/ROW]
[ROW][C]0.18[/C][C]100.786836989163[/C][C]2.31497234400202[/C][/ROW]
[ROW][C]0.185[/C][C]100.988998071035[/C][C]2.30079977700504[/C][/ROW]
[ROW][C]0.19[/C][C]101.186085001352[/C][C]2.29338905492568[/C][/ROW]
[ROW][C]0.195[/C][C]101.378761797761[/C][C]2.29190547094413[/C][/ROW]
[ROW][C]0.2[/C][C]101.567630816655[/C][C]2.29526318321961[/C][/ROW]
[ROW][C]0.205[/C][C]101.753232436056[/C][C]2.30252047202704[/C][/ROW]
[ROW][C]0.21[/C][C]101.936045545297[/C][C]2.31281388958586[/C][/ROW]
[ROW][C]0.215[/C][C]102.116488834038[/C][C]2.32516702636254[/C][/ROW]
[ROW][C]0.22[/C][C]102.294922838384[/C][C]2.33876068328338[/C][/ROW]
[ROW][C]0.225[/C][C]102.471652672689[/C][C]2.35297153651378[/C][/ROW]
[ROW][C]0.23[/C][C]102.646931352976[/C][C]2.36715668748929[/C][/ROW]
[ROW][C]0.235[/C][C]102.820963602116[/C][C]2.38083179529061[/C][/ROW]
[ROW][C]0.24[/C][C]102.993910017793[/C][C]2.39352114309589[/C][/ROW]
[ROW][C]0.245[/C][C]103.165891481391[/C][C]2.40494797669403[/C][/ROW]
[ROW][C]0.25[/C][C]103.336993688402[/C][C]2.41484354976229[/C][/ROW]
[ROW][C]0.255[/C][C]103.507271688048[/C][C]2.42310645614886[/C][/ROW]
[ROW][C]0.26[/C][C]103.676754330404[/C][C]2.42960611767456[/C][/ROW]
[ROW][C]0.265[/C][C]103.8454485326[/C][C]2.4342703840678[/C][/ROW]
[ROW][C]0.27[/C][C]104.013343290651[/C][C]2.43715316446503[/C][/ROW]
[ROW][C]0.275[/C][C]104.180413379364[/C][C]2.43830028632668[/C][/ROW]
[ROW][C]0.28[/C][C]104.346622698775[/C][C]2.43777819978374[/C][/ROW]
[ROW][C]0.285[/C][C]104.511927241121[/C][C]2.43562302742734[/C][/ROW]
[ROW][C]0.29[/C][C]104.676277666886[/C][C]2.43206766285037[/C][/ROW]
[ROW][C]0.295[/C][C]104.839621491617[/C][C]2.42716295652558[/C][/ROW]
[ROW][C]0.3[/C][C]105.001904896581[/C][C]2.42104507162805[/C][/ROW]
[ROW][C]0.305[/C][C]105.163074185944[/C][C]2.41383582573263[/C][/ROW]
[ROW][C]0.31[/C][C]105.323076920609[/C][C]2.40558949657296[/C][/ROW]
[ROW][C]0.315[/C][C]105.481862764455[/C][C]2.39637471181384[/C][/ROW]
[ROW][C]0.32[/C][C]105.639384082198[/C][C]2.38637426582023[/C][/ROW]
[ROW][C]0.325[/C][C]105.795596329896[/C][C]2.37556667774806[/C][/ROW]
[ROW][C]0.33[/C][C]105.950458279081[/C][C]2.36397647064615[/C][/ROW]
[ROW][C]0.335[/C][C]106.103932114089[/C][C]2.35162511794229[/C][/ROW]
[ROW][C]0.34[/C][C]106.255983439448[/C][C]2.33860187352343[/C][/ROW]
[ROW][C]0.345[/C][C]106.406581230433[/C][C]2.32488747001164[/C][/ROW]
[ROW][C]0.35[/C][C]106.555697755434[/C][C]2.31036578670808[/C][/ROW]
[ROW][C]0.355[/C][C]106.703308493757[/C][C]2.29515168881022[/C][/ROW]
[ROW][C]0.36[/C][C]106.849392067194[/C][C]2.27918158685009[/C][/ROW]
[ROW][C]0.365[/C][C]106.993930198372[/C][C]2.26247536400099[/C][/ROW]
[ROW][C]0.37[/C][C]107.136907703691[/C][C]2.2450235943286[/C][/ROW]
[ROW][C]0.375[/C][C]107.278312523811[/C][C]2.22682393730560[/C][/ROW]
[ROW][C]0.38[/C][C]107.418135790300[/C][C]2.20792830253030[/C][/ROW]
[ROW][C]0.385[/C][C]107.556371923244[/C][C]2.18830894458935[/C][/ROW]
[ROW][C]0.39[/C][C]107.693018751620[/C][C]2.16810566450578[/C][/ROW]
[ROW][C]0.395[/C][C]107.828077645845[/C][C]2.14731045926592[/C][/ROW]
[ROW][C]0.4[/C][C]107.961553650439[/C][C]2.12598066031099[/C][/ROW]
[ROW][C]0.405[/C][C]108.093455603946[/C][C]2.10429832129964[/C][/ROW]
[ROW][C]0.41[/C][C]108.223796233271[/C][C]2.08234828206540[/C][/ROW]
[ROW][C]0.415[/C][C]108.352592210264[/C][C]2.06012079219611[/C][/ROW]
[ROW][C]0.42[/C][C]108.479864159694[/C][C]2.03788297474955[/C][/ROW]
[ROW][C]0.425[/C][C]108.605636609582[/C][C]2.01567595101247[/C][/ROW]
[ROW][C]0.43[/C][C]108.729937877127[/C][C]1.99371770556511[/C][/ROW]
[ROW][C]0.435[/C][C]108.852799885998[/C][C]1.97202036725717[/C][/ROW]
[ROW][C]0.44[/C][C]108.974257913544[/C][C]1.95077611484547[/C][/ROW]
[ROW][C]0.445[/C][C]109.094350269240[/C][C]1.93008464514825[/C][/ROW]
[ROW][C]0.45[/C][C]109.213117908514[/C][C]1.91000720854464[/C][/ROW]
[ROW][C]0.455[/C][C]109.330603988669[/C][C]1.89073926792230[/C][/ROW]
[ROW][C]0.46[/C][C]109.446853375976[/C][C]1.87218676924315[/C][/ROW]
[ROW][C]0.465[/C][C]109.561912115051[/C][C]1.85454747260100[/C][/ROW]
[ROW][C]0.47[/C][C]109.675826873203[/C][C]1.83778249860270[/C][/ROW]
[ROW][C]0.475[/C][C]109.788644373626[/C][C]1.82189738894724[/C][/ROW]
[ROW][C]0.48[/C][C]109.900410831896[/C][C]1.80693720971936[/C][/ROW]
[ROW][C]0.485[/C][C]110.011171410424[/C][C]1.79279074553145[/C][/ROW]
[ROW][C]0.49[/C][C]110.120969705106[/C][C]1.77942776901245[/C][/ROW]
[ROW][C]0.495[/C][C]110.229847277547[/C][C]1.76677027425945[/C][/ROW]
[ROW][C]0.5[/C][C]110.337843244929[/C][C]1.75478564281442[/C][/ROW]
[ROW][C]0.505[/C][C]110.444993937845[/C][C]1.74337056852461[/C][/ROW]
[ROW][C]0.51[/C][C]110.551332634398[/C][C]1.73234514582504[/C][/ROW]
[ROW][C]0.515[/C][C]110.656889376501[/C][C]1.72172902715393[/C][/ROW]
[ROW][C]0.52[/C][C]110.761690871854[/C][C]1.71121774133604[/C][/ROW]
[ROW][C]0.525[/C][C]110.865760482430[/C][C]1.70088295890129[/C][/ROW]
[ROW][C]0.53[/C][C]110.969118297746[/C][C]1.69057348932328[/C][/ROW]
[ROW][C]0.535[/C][C]111.071781288649[/C][C]1.68011030397789[/C][/ROW]
[ROW][C]0.54[/C][C]111.173763534976[/C][C]1.66952659655780[/C][/ROW]
[ROW][C]0.545[/C][C]111.275076518372[/C][C]1.65869126663851[/C][/ROW]
[ROW][C]0.55[/C][C]111.375729469687[/C][C]1.64756212964603[/C][/ROW]
[ROW][C]0.555[/C][C]111.475729758965[/C][C]1.63607131244628[/C][/ROW]
[ROW][C]0.56[/C][C]111.575083314964[/C][C]1.62423375337559[/C][/ROW]
[ROW][C]0.565[/C][C]111.673795060549[/C][C]1.61201563758113[/C][/ROW]
[ROW][C]0.57[/C][C]111.771869350125[/C][C]1.59939234271936[/C][/ROW]
[ROW][C]0.575[/C][C]111.869310395567[/C][C]1.58647629691431[/C][/ROW]
[ROW][C]0.58[/C][C]111.966122667797[/C][C]1.57323240545929[/C][/ROW]
[ROW][C]0.585[/C][C]112.062311262293[/C][C]1.55967044623113[/C][/ROW]
[ROW][C]0.59[/C][C]112.157882218248[/C][C]1.54593392502382[/C][/ROW]
[ROW][C]0.595[/C][C]112.252842782901[/C][C]1.53206662688511[/C][/ROW]
[ROW][C]0.6[/C][C]112.347201614545[/C][C]1.51808095820609[/C][/ROW]
[ROW][C]0.605[/C][C]112.440968919899[/C][C]1.5040935625176[/C][/ROW]
[ROW][C]0.61[/C][C]112.534156523812[/C][C]1.49022685235454[/C][/ROW]
[ROW][C]0.615[/C][C]112.626777871535[/C][C]1.47645671893451[/C][/ROW]
[ROW][C]0.62[/C][C]112.718847966035[/C][C]1.46292628775564[/C][/ROW]
[ROW][C]0.625[/C][C]112.810383244893[/C][C]1.44962442178017[/C][/ROW]
[ROW][C]0.63[/C][C]112.901401403242[/C][C]1.43664971587352[/C][/ROW]
[ROW][C]0.635[/C][C]112.991921170779[/C][C]1.42403432487807[/C][/ROW]
[ROW][C]0.64[/C][C]113.081962052231[/C][C]1.41174410340839[/C][/ROW]
[ROW][C]0.645[/C][C]113.171544041571[/C][C]1.39984434953546[/C][/ROW]
[ROW][C]0.65[/C][C]113.260687320875[/C][C]1.38835799261836[/C][/ROW]
[ROW][C]0.655[/C][C]113.349411954891[/C][C]1.37723336728445[/C][/ROW]
[ROW][C]0.66[/C][C]113.437737592166[/C][C]1.36645462294729[/C][/ROW]
[ROW][C]0.665[/C][C]113.525683183053[/C][C]1.35600415456670[/C][/ROW]
[ROW][C]0.67[/C][C]113.613266723950[/C][C]1.34580755307699[/C][/ROW]
[ROW][C]0.675[/C][C]113.700505035992[/C][C]1.33581725012045[/C][/ROW]
[ROW][C]0.68[/C][C]113.787413584934[/C][C]1.32604751059815[/C][/ROW]
[ROW][C]0.685[/C][C]113.874006347419[/C][C]1.31630538249059[/C][/ROW]
[ROW][C]0.69[/C][C]113.960295727108[/C][C]1.30666635313274[/C][/ROW]
[ROW][C]0.695[/C][C]114.046292522510[/C][C]1.29699798193800[/C][/ROW]
[ROW][C]0.7[/C][C]114.132005946733[/C][C]1.28727813962631[/C][/ROW]
[ROW][C]0.705[/C][C]114.217443697952[/C][C]1.27742727525820[/C][/ROW]
[ROW][C]0.71[/C][C]114.302612078279[/C][C]1.26743865488121[/C][/ROW]
[ROW][C]0.715[/C][C]114.387516157826[/C][C]1.25725588559934[/C][/ROW]
[ROW][C]0.72[/C][C]114.472159980425[/C][C]1.24683421356322[/C][/ROW]
[ROW][C]0.725[/C][C]114.556546807494[/C][C]1.23621834239010[/C][/ROW]
[ROW][C]0.73[/C][C]114.640679397171[/C][C]1.22531564660223[/C][/ROW]
[ROW][C]0.735[/C][C]114.724560316984[/C][C]1.21419240548595[/C][/ROW]
[ROW][C]0.74[/C][C]114.808192290107[/C][C]1.20278508395883[/C][/ROW]
[ROW][C]0.745[/C][C]114.891578577540[/C][C]1.19118064340633[/C][/ROW]
[ROW][C]0.75[/C][C]114.974723401475[/C][C]1.17934554893453[/C][/ROW]
[ROW][C]0.755[/C][C]115.057632418462[/C][C]1.16731136159378[/C][/ROW]
[ROW][C]0.76[/C][C]115.140313254852[/C][C]1.15511096161039[/C][/ROW]
[ROW][C]0.765[/C][C]115.222776121165[/C][C]1.14280211701278[/C][/ROW]
[ROW][C]0.77[/C][C]115.305034526431[/C][C]1.13034258780385[/C][/ROW]
[ROW][C]0.775[/C][C]115.387106118109[/C][C]1.11781171182172[/C][/ROW]
[ROW][C]0.78[/C][C]115.469013677585[/C][C]1.10524953761648[/C][/ROW]
[ROW][C]0.785[/C][C]115.550786305509[/C][C]1.09266728153427[/C][/ROW]
[ROW][C]0.79[/C][C]115.632460834951[/C][C]1.08010233382098[/C][/ROW]
[ROW][C]0.795[/C][C]115.714083513398[/C][C]1.06757934826091[/C][/ROW]
[ROW][C]0.8[/C][C]115.795711996685[/C][C]1.05513277036232[/C][/ROW]
[ROW][C]0.805[/C][C]115.877417698679[/C][C]1.04283511984611[/C][/ROW]
[ROW][C]0.81[/C][C]115.959288539532[/C][C]1.03072925650429[/C][/ROW]
[ROW][C]0.815[/C][C]116.041432132044[/C][C]1.01887954832263[/C][/ROW]
[ROW][C]0.82[/C][C]116.123979439607[/C][C]1.00736134325336[/C][/ROW]
[ROW][C]0.825[/C][C]116.207088929331[/C][C]0.996355117650104[/C][/ROW]
[ROW][C]0.83[/C][C]116.290951229533[/C][C]0.985941387841682[/C][/ROW]
[ROW][C]0.835[/C][C]116.375794280370[/C][C]0.976358950294733[/C][/ROW]
[ROW][C]0.84[/C][C]116.461888938643[/C][C]0.967833855973594[/C][/ROW]
[ROW][C]0.845[/C][C]116.549554960838[/C][C]0.960674355131194[/C][/ROW]
[ROW][C]0.85[/C][C]116.639167240433[/C][C]0.955207377223446[/C][/ROW]
[ROW][C]0.855[/C][C]116.731162114089[/C][C]0.951958284486834[/C][/ROW]
[ROW][C]0.86[/C][C]116.826043474594[/C][C]0.95135748638014[/C][/ROW]
[ROW][C]0.865[/C][C]116.924388334409[/C][C]0.954034987771256[/C][/ROW]
[ROW][C]0.87[/C][C]117.026851371373[/C][C]0.960649097081175[/C][/ROW]
[ROW][C]0.875[/C][C]117.134167857579[/C][C]0.971909566344526[/C][/ROW]
[ROW][C]0.88[/C][C]117.247154225932[/C][C]0.988539015689508[/C][/ROW]
[ROW][C]0.885[/C][C]117.366705371411[/C][C]1.01141579744164[/C][/ROW]
[ROW][C]0.89[/C][C]117.493787624518[/C][C]1.04123775871573[/C][/ROW]
[ROW][C]0.895[/C][C]117.629426186901[/C][C]1.07878883457526[/C][/ROW]
[ROW][C]0.9[/C][C]117.774685703593[/C][C]1.12475779029673[/C][/ROW]
[ROW][C]0.905[/C][C]117.930642589735[/C][C]1.17974548218623[/C][/ROW]
[ROW][C]0.91[/C][C]118.098347766038[/C][C]1.24430641923506[/C][/ROW]
[ROW][C]0.915[/C][C]118.278778627489[/C][C]1.31886275549709[/C][/ROW]
[ROW][C]0.92[/C][C]118.472779419742[/C][C]1.40374575285475[/C][/ROW]
[ROW][C]0.925[/C][C]118.680989775071[/C][C]1.49912655805519[/C][/ROW]
[ROW][C]0.93[/C][C]118.903762009053[/C][C]1.60505386686104[/C][/ROW]
[ROW][C]0.935[/C][C]119.141068933959[/C][C]1.72135990805122[/C][/ROW]
[ROW][C]0.94[/C][C]119.392405418113[/C][C]1.84763011909178[/C][/ROW]
[ROW][C]0.945[/C][C]119.656688692377[/C][C]1.98314542395833[/C][/ROW]
[ROW][C]0.95[/C][C]119.932164409350[/C][C]2.12685490081323[/C][/ROW]
[ROW][C]0.955[/C][C]120.216327571386[/C][C]2.27724659244259[/C][/ROW]
[ROW][C]0.96[/C][C]120.505869461285[/C][C]2.43238465318028[/C][/ROW]
[ROW][C]0.965[/C][C]120.796663355459[/C][C]2.58981198809861[/C][/ROW]
[ROW][C]0.97[/C][C]121.083802715025[/C][C]2.74662278898925[/C][/ROW]
[ROW][C]0.975[/C][C]121.361705310141[/C][C]2.89945764298738[/C][/ROW]
[ROW][C]0.98[/C][C]121.624294874624[/C][C]3.04466607150813[/C][/ROW]
[ROW][C]0.985[/C][C]121.865267962126[/C][C]3.17844096832103[/C][/ROW]
[ROW][C]0.99[/C][C]122.078447319337[/C][C]3.29704415274786[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18031&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18031&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
0.0186.05829734474126.56358681669999
0.01586.49959296850446.37642892040738
0.0287.00283463757166.17099727662874
0.02587.55666299918555.95479122507851
0.0388.14932297870395.73503208026585
0.03588.76932933918525.51801421697308
0.0489.40596920406625.30879796239105
0.04590.0496450730285.11097664536034
0.0590.69207390184274.92656513328642
0.05591.32636507688494.75612129644134
0.0691.94700333619164.59910142102013
0.06592.54976277940574.45393264129171
0.0793.13157599664424.31856663033166
0.07593.69037887982014.19079621195039
0.0894.22494756996784.06839568115753
0.08594.734739788853.94944508981137
0.0995.21974888798173.83244448863706
0.09595.6803755619853.71636548518462
0.196.11731943316233.60068305538627
0.10596.53149064467593.48528891454305
0.1196.92394016000743.37044555603440
0.11597.29580657538943.25685017561372
0.1297.64827680849373.14533029712051
0.12597.98255792489963.03696376944486
0.1398.29985750365082.93287025964645
0.13598.60137023689472.83414940046838
0.1498.88826883417442.74192677697621
0.14599.1616977039712.6572035738791
0.1599.42276827373932.58078710488062
0.15599.67255515889052.51333314847291
0.1699.91209268627042.45519062130259
0.165100.1423715127612.40650752852493
0.17100.3643352552862.36718326307195
0.175100.5788771695962.33690708487985
0.18100.7868369891632.31497234400202
0.185100.9889980710352.30079977700504
0.19101.1860850013522.29338905492568
0.195101.3787617977612.29190547094413
0.2101.5676308166552.29526318321961
0.205101.7532324360562.30252047202704
0.21101.9360455452972.31281388958586
0.215102.1164888340382.32516702636254
0.22102.2949228383842.33876068328338
0.225102.4716526726892.35297153651378
0.23102.6469313529762.36715668748929
0.235102.8209636021162.38083179529061
0.24102.9939100177932.39352114309589
0.245103.1658914813912.40494797669403
0.25103.3369936884022.41484354976229
0.255103.5072716880482.42310645614886
0.26103.6767543304042.42960611767456
0.265103.84544853262.4342703840678
0.27104.0133432906512.43715316446503
0.275104.1804133793642.43830028632668
0.28104.3466226987752.43777819978374
0.285104.5119272411212.43562302742734
0.29104.6762776668862.43206766285037
0.295104.8396214916172.42716295652558
0.3105.0019048965812.42104507162805
0.305105.1630741859442.41383582573263
0.31105.3230769206092.40558949657296
0.315105.4818627644552.39637471181384
0.32105.6393840821982.38637426582023
0.325105.7955963298962.37556667774806
0.33105.9504582790812.36397647064615
0.335106.1039321140892.35162511794229
0.34106.2559834394482.33860187352343
0.345106.4065812304332.32488747001164
0.35106.5556977554342.31036578670808
0.355106.7033084937572.29515168881022
0.36106.8493920671942.27918158685009
0.365106.9939301983722.26247536400099
0.37107.1369077036912.2450235943286
0.375107.2783125238112.22682393730560
0.38107.4181357903002.20792830253030
0.385107.5563719232442.18830894458935
0.39107.6930187516202.16810566450578
0.395107.8280776458452.14731045926592
0.4107.9615536504392.12598066031099
0.405108.0934556039462.10429832129964
0.41108.2237962332712.08234828206540
0.415108.3525922102642.06012079219611
0.42108.4798641596942.03788297474955
0.425108.6056366095822.01567595101247
0.43108.7299378771271.99371770556511
0.435108.8527998859981.97202036725717
0.44108.9742579135441.95077611484547
0.445109.0943502692401.93008464514825
0.45109.2131179085141.91000720854464
0.455109.3306039886691.89073926792230
0.46109.4468533759761.87218676924315
0.465109.5619121150511.85454747260100
0.47109.6758268732031.83778249860270
0.475109.7886443736261.82189738894724
0.48109.9004108318961.80693720971936
0.485110.0111714104241.79279074553145
0.49110.1209697051061.77942776901245
0.495110.2298472775471.76677027425945
0.5110.3378432449291.75478564281442
0.505110.4449939378451.74337056852461
0.51110.5513326343981.73234514582504
0.515110.6568893765011.72172902715393
0.52110.7616908718541.71121774133604
0.525110.8657604824301.70088295890129
0.53110.9691182977461.69057348932328
0.535111.0717812886491.68011030397789
0.54111.1737635349761.66952659655780
0.545111.2750765183721.65869126663851
0.55111.3757294696871.64756212964603
0.555111.4757297589651.63607131244628
0.56111.5750833149641.62423375337559
0.565111.6737950605491.61201563758113
0.57111.7718693501251.59939234271936
0.575111.8693103955671.58647629691431
0.58111.9661226677971.57323240545929
0.585112.0623112622931.55967044623113
0.59112.1578822182481.54593392502382
0.595112.2528427829011.53206662688511
0.6112.3472016145451.51808095820609
0.605112.4409689198991.5040935625176
0.61112.5341565238121.49022685235454
0.615112.6267778715351.47645671893451
0.62112.7188479660351.46292628775564
0.625112.8103832448931.44962442178017
0.63112.9014014032421.43664971587352
0.635112.9919211707791.42403432487807
0.64113.0819620522311.41174410340839
0.645113.1715440415711.39984434953546
0.65113.2606873208751.38835799261836
0.655113.3494119548911.37723336728445
0.66113.4377375921661.36645462294729
0.665113.5256831830531.35600415456670
0.67113.6132667239501.34580755307699
0.675113.7005050359921.33581725012045
0.68113.7874135849341.32604751059815
0.685113.8740063474191.31630538249059
0.69113.9602957271081.30666635313274
0.695114.0462925225101.29699798193800
0.7114.1320059467331.28727813962631
0.705114.2174436979521.27742727525820
0.71114.3026120782791.26743865488121
0.715114.3875161578261.25725588559934
0.72114.4721599804251.24683421356322
0.725114.5565468074941.23621834239010
0.73114.6406793971711.22531564660223
0.735114.7245603169841.21419240548595
0.74114.8081922901071.20278508395883
0.745114.8915785775401.19118064340633
0.75114.9747234014751.17934554893453
0.755115.0576324184621.16731136159378
0.76115.1403132548521.15511096161039
0.765115.2227761211651.14280211701278
0.77115.3050345264311.13034258780385
0.775115.3871061181091.11781171182172
0.78115.4690136775851.10524953761648
0.785115.5507863055091.09266728153427
0.79115.6324608349511.08010233382098
0.795115.7140835133981.06757934826091
0.8115.7957119966851.05513277036232
0.805115.8774176986791.04283511984611
0.81115.9592885395321.03072925650429
0.815116.0414321320441.01887954832263
0.82116.1239794396071.00736134325336
0.825116.2070889293310.996355117650104
0.83116.2909512295330.985941387841682
0.835116.3757942803700.976358950294733
0.84116.4618889386430.967833855973594
0.845116.5495549608380.960674355131194
0.85116.6391672404330.955207377223446
0.855116.7311621140890.951958284486834
0.86116.8260434745940.95135748638014
0.865116.9243883344090.954034987771256
0.87117.0268513713730.960649097081175
0.875117.1341678575790.971909566344526
0.88117.2471542259320.988539015689508
0.885117.3667053714111.01141579744164
0.89117.4937876245181.04123775871573
0.895117.6294261869011.07878883457526
0.9117.7746857035931.12475779029673
0.905117.9306425897351.17974548218623
0.91118.0983477660381.24430641923506
0.915118.2787786274891.31886275549709
0.92118.4727794197421.40374575285475
0.925118.6809897750711.49912655805519
0.93118.9037620090531.60505386686104
0.935119.1410689339591.72135990805122
0.94119.3924054181131.84763011909178
0.945119.6566886923771.98314542395833
0.95119.9321644093502.12685490081323
0.955120.2163275713862.27724659244259
0.96120.5058694612852.43238465318028
0.965120.7966633554592.58981198809861
0.97121.0838027150252.74662278898925
0.975121.3617053101412.89945764298738
0.98121.6242948746243.04466607150813
0.985121.8652679621263.17844096832103
0.99122.0784473193373.29704415274786


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')