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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, 27 Oct 2008 14:51:07 -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/27/t1225140715nnqg8lcinireqgv.htm/, Retrieved Wed, 29 May 2024 06:42:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19606, Retrieved Wed, 29 May 2024 06:42:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ9: Compute a confidence interval for the random component of the model in Q7. Do you think your model can be improved?
Estimated Impact145

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] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F    D    [Harrell-Davis Quantiles] [Taak 4 q9] [2008-10-27 20:51:07] [3efbb18563b4564408d69b3c9a8e9a6e] [Current]
Feedback Forum
2008-10-29 18:23:46 [Romina Machiels] [reply] 
Deze vraag heeft de student juist beantwoord.
2008-10-30 18:13:57 [Bob Leysen] [reply] 
Het antwoord is correct, maar een geblogde versie van je betrouwbaarheidsinterval voor de random component had erbij gemogen.
2008-11-01 15:45:02 [Natascha Meeus] [reply] 
deze vraag is correct beantwoord.
2008-11-02 16:44:56 [Bernard Femont] [reply] 
deze vraag is correct beantwoord.
2008-11-03 18:01:55 [An De Koninck] [reply] 
Er wordt niet gezegd wat nu net het betrouwbaarheidsinteval is. Dit is een percentage zoals 95% of 80% en is het interval waarin de cijfergegevens betrouwbaar zijn en dus geen 'errors' zijn. De errors horen immers dan tot de overige 5% (bij 95%) of 20% (bij 80%)

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19606&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19606&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19606&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01471.5969097007469.1318826338098
0.015473.5440844462049.37582838046038
0.02475.7600754285879.6269869942707
0.025478.1238860500569.82269041800545
0.03480.5362893741349.9250645007549
0.035482.9248065775979.93064740649862
0.04485.2422395829849.86118676385484
0.045487.4619905716649.74934952251
0.05489.5724697749159.62440289595452
0.055491.5719252437059.5036133814784
0.06493.4642911168419.39149768111733
0.065495.2561902004499.28309295642366
0.07496.9549865914559.16763751409182
0.075498.5676859806379.0353033918124
0.08500.1004608969288.87997235513266
0.085501.5585946908958.70017938022614
0.09502.9466698494838.4991642320751
0.095504.2688631894618.28497538869815
0.1505.5292479206338.06785769420307
0.105506.732037794547.85905978476744
0.11507.8817394958687.66942159584945
0.115508.9832045054577.50846215109953
0.12510.0415899562317.3833933074841
0.125511.0622494229067.2970449658279
0.13512.050579797467.24999021806835
0.135513.0118506123667.2409187174018
0.14513.9510388509827.26394835144183
0.145514.8726868977357.31457168458972
0.15515.7807951061917.38555199869809
0.155516.6787544791357.47099416721563
0.16517.569319811857.56486812918808
0.165518.4546196961567.6609269588508
0.17519.3361971218937.7556586010855
0.175520.2150729723677.84570173980831
0.18521.0918243101087.92796559313316
0.185521.9666697557128.00162569418322
0.19522.8395552317888.06594668264123
0.195523.7102346496648.12074507659219
0.2524.578341566048.16645255608284
0.205525.4434492778488.20431628336966
0.21526.3051181451558.23556928175935
0.215527.162930060718.261401382747
0.22528.0165108797258.28170130557374
0.225528.865542270588.29930793263438
0.23529.7097648527618.31363743508878
0.235530.548974674218.32480534642072
0.24531.3830150788688.33449846502332
0.245532.2117658649228.34176097931426
0.25533.0351313766998.34728344249346
0.255533.8530288490198.34969405403606
0.26534.6653779702158.34940106233576
0.265535.4720922818858.34620069434251
0.27536.2730727163848.3387012574917
0.275537.068203306318.32807438296777
0.28537.8573488956758.31352242004917
0.285538.6403545445078.29420892746804
0.29539.4170462455038.27121039855988
0.295540.1872325559268.24344479871399
0.3540.9507067791058.21186724524803
0.305541.707249394668.17568889467242
0.31542.4566305207498.13474973974608
0.315543.1986122819928.09017075920518
0.32543.9329510416548.04045139157671
0.325544.6593995271647.98696476689602
0.33545.3777089281317.92886973165007
0.335546.0876310729157.86658434486405
0.34546.7889207936417.7988363570465
0.345547.4813385730957.7274105361016
0.35548.1646535346527.65128549406883
0.355548.8386467941447.57135797017168
0.36549.5031151464757.4861613640869
0.365550.1578750156727.39770798735135
0.37550.8027665600847.30526042273324
0.375551.4376577981847.20931015754904
0.38552.0624486072497.11097038454676
0.385552.6770744476687.01007016957859
0.39553.2815096789236.90736518044747
0.395553.8757703572926.8040390278374
0.4554.4599164372026.69980244747913
0.405555.0340533341776.59620804906313
0.41555.5983328441976.49310537168492
0.415556.1529534484786.39157752987791
0.42556.6981600615426.29258462917835
0.425557.2342433020536.19592958485772
0.43557.7615383790766.10300543403833
0.435558.2804236911436.01389780108938
0.44558.7913192322535.92867466342591
0.445559.2946848891385.84804902742052
0.45559.7910186993675.77327307749742
0.455560.2808551221045.70396435646446
0.46560.7647633543875.64098370997554
0.465561.2433457072085.58382696002497
0.47561.7172360386725.53479960211726
0.475562.1870982267215.49219204001279
0.48562.653624651445.45767874174844
0.485563.1175346465645.43129552017978
0.49563.5795728707625.41311363654609
0.495564.0405075407015.40399546675058
0.5564.5011284590755.40401366719182
0.505564.9622447608645.41261058434597
0.51565.4246822901045.43183589772328
0.515565.889280507385.45991795048996
0.52566.3568888162145.4974834326511
0.525566.8283621858025.54518087722323
0.53567.3045559403495.60312509765021
0.535567.7863195837195.6703204059107
0.54568.2744895350375.74698533380213
0.545568.7698806684485.83302185132984
0.55569.2732765806595.92845093975001
0.555569.7854185542546.03199558200652
0.56570.3069932435436.14370482963807
0.565570.8386191818716.2628421449384
0.57571.3808322927126.38763695090337
0.575571.9340706779646.5174338588671
0.58572.4986590508526.65098190801242
0.585573.0747932720616.78644731483697
0.59573.6625255297496.92195859226746
0.595574.2617507703817.05548477470261
0.6574.8721950316877.1852124503133
0.605575.4934063460287.30804056911775
0.61576.1247488680847.42246367479053
0.615576.7654008327527.52605601817555
0.62577.414356867367.61556785767306
0.625578.0704350688777.68937923763669
0.63578.7322891160967.74488508167162
0.635579.3984255251957.78075378136439
0.64580.0672259827037.79481346924976
0.645580.7369745117727.7865575369793
0.65581.4058890551947.7547598752802
0.655582.0721569008547.69879642268639
0.66582.7339732399347.61955535207161
0.665583.3895820410497.5174253779055
0.67584.0373183478527.3937836145903
0.675584.67565106397.24974637846405
0.68585.3032252740867.08749179097971
0.685585.918903161556.91071211938345
0.69586.5218026050346.7205640176141
0.695587.1113325755726.52229909241904
0.7587.6872244841396.31891612562246
0.705588.2495586557536.11446516347589
0.71588.7987851152555.91245880288469
0.715589.3357378641885.71856368328981
0.72589.8616418102135.53656898041828
0.725590.3781114893575.37152980591468
0.73590.8871407113825.22785379510972
0.735591.3910822791145.11022372650555
0.74591.8926170064635.02339736159641
0.745592.3947114110224.97054255496781
0.75592.9005637080214.9547422365384
0.755593.4135380999574.97933274477873
0.76593.9370878487235.04471457912036
0.765594.4746682298665.15057520199963
0.77595.0296411817745.29561198314892
0.775595.6051742384645.47636235980872
0.78596.2041371179115.68830903068165
0.785596.8290000577855.92574915420836
0.79597.4817385646126.18123541745241
0.795598.1637495847546.44763223351586
0.8598.875784134966.71625434675349
0.805599.6179010818626.97909873743443
0.81600.3894459971557.22696321182383
0.815601.1890578404257.45171846203088
0.82602.0147046845957.6465727172781
0.825602.8637479005357.80430423274264
0.83603.7330323071597.9202694475682
0.835604.6189979596237.99133309549476
0.84605.5178076991998.01510248517701
0.845606.4254835262057.99153313436238
0.85607.3380444459387.92250520080453
0.855608.2516387687317.81137805384245
0.86609.1626649078147.66233617967312
0.865610.0678763773187.48112034835214
0.87610.9644686834527.273615688495
0.875611.8501477503837.04626559592527
0.88612.723180989836.80434187215565
0.885613.5824326798276.55379060736825
0.89614.4273846386626.29873014363688
0.895615.2581411520886.044043851977
0.9616.0754139344915.79318037343343
0.905616.8804791544755.54990590756895
0.91617.6750951887945.31776625730602
0.915618.4613680330225.10094091574315
0.92619.2415525284224.9025579319453
0.925620.0177828670354.72503787617424
0.93620.7917356770014.56835292627983
0.935621.5642427654.42902246350406
0.94622.3348863028984.29933438561316
0.945623.1016234441124.16703350822246
0.95623.8604955874764.01633226041589
0.955624.6054754353573.8309627894882
0.96625.3284902687613.5965181678682
0.965626.019634480063.30363000825504
0.97626.6675567466112.95228612973855
0.975627.2599922747112.55317236361973
0.98627.784426113332.13007773761337
0.985628.2289305841021.71988522631608
0.99628.5833066976691.36865715686856

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 471.596909700746 & 9.1318826338098 \tabularnewline
0.015 & 473.544084446204 & 9.37582838046038 \tabularnewline
0.02 & 475.760075428587 & 9.6269869942707 \tabularnewline
0.025 & 478.123886050056 & 9.82269041800545 \tabularnewline
0.03 & 480.536289374134 & 9.9250645007549 \tabularnewline
0.035 & 482.924806577597 & 9.93064740649862 \tabularnewline
0.04 & 485.242239582984 & 9.86118676385484 \tabularnewline
0.045 & 487.461990571664 & 9.74934952251 \tabularnewline
0.05 & 489.572469774915 & 9.62440289595452 \tabularnewline
0.055 & 491.571925243705 & 9.5036133814784 \tabularnewline
0.06 & 493.464291116841 & 9.39149768111733 \tabularnewline
0.065 & 495.256190200449 & 9.28309295642366 \tabularnewline
0.07 & 496.954986591455 & 9.16763751409182 \tabularnewline
0.075 & 498.567685980637 & 9.0353033918124 \tabularnewline
0.08 & 500.100460896928 & 8.87997235513266 \tabularnewline
0.085 & 501.558594690895 & 8.70017938022614 \tabularnewline
0.09 & 502.946669849483 & 8.4991642320751 \tabularnewline
0.095 & 504.268863189461 & 8.28497538869815 \tabularnewline
0.1 & 505.529247920633 & 8.06785769420307 \tabularnewline
0.105 & 506.73203779454 & 7.85905978476744 \tabularnewline
0.11 & 507.881739495868 & 7.66942159584945 \tabularnewline
0.115 & 508.983204505457 & 7.50846215109953 \tabularnewline
0.12 & 510.041589956231 & 7.3833933074841 \tabularnewline
0.125 & 511.062249422906 & 7.2970449658279 \tabularnewline
0.13 & 512.05057979746 & 7.24999021806835 \tabularnewline
0.135 & 513.011850612366 & 7.2409187174018 \tabularnewline
0.14 & 513.951038850982 & 7.26394835144183 \tabularnewline
0.145 & 514.872686897735 & 7.31457168458972 \tabularnewline
0.15 & 515.780795106191 & 7.38555199869809 \tabularnewline
0.155 & 516.678754479135 & 7.47099416721563 \tabularnewline
0.16 & 517.56931981185 & 7.56486812918808 \tabularnewline
0.165 & 518.454619696156 & 7.6609269588508 \tabularnewline
0.17 & 519.336197121893 & 7.7556586010855 \tabularnewline
0.175 & 520.215072972367 & 7.84570173980831 \tabularnewline
0.18 & 521.091824310108 & 7.92796559313316 \tabularnewline
0.185 & 521.966669755712 & 8.00162569418322 \tabularnewline
0.19 & 522.839555231788 & 8.06594668264123 \tabularnewline
0.195 & 523.710234649664 & 8.12074507659219 \tabularnewline
0.2 & 524.57834156604 & 8.16645255608284 \tabularnewline
0.205 & 525.443449277848 & 8.20431628336966 \tabularnewline
0.21 & 526.305118145155 & 8.23556928175935 \tabularnewline
0.215 & 527.16293006071 & 8.261401382747 \tabularnewline
0.22 & 528.016510879725 & 8.28170130557374 \tabularnewline
0.225 & 528.86554227058 & 8.29930793263438 \tabularnewline
0.23 & 529.709764852761 & 8.31363743508878 \tabularnewline
0.235 & 530.54897467421 & 8.32480534642072 \tabularnewline
0.24 & 531.383015078868 & 8.33449846502332 \tabularnewline
0.245 & 532.211765864922 & 8.34176097931426 \tabularnewline
0.25 & 533.035131376699 & 8.34728344249346 \tabularnewline
0.255 & 533.853028849019 & 8.34969405403606 \tabularnewline
0.26 & 534.665377970215 & 8.34940106233576 \tabularnewline
0.265 & 535.472092281885 & 8.34620069434251 \tabularnewline
0.27 & 536.273072716384 & 8.3387012574917 \tabularnewline
0.275 & 537.06820330631 & 8.32807438296777 \tabularnewline
0.28 & 537.857348895675 & 8.31352242004917 \tabularnewline
0.285 & 538.640354544507 & 8.29420892746804 \tabularnewline
0.29 & 539.417046245503 & 8.27121039855988 \tabularnewline
0.295 & 540.187232555926 & 8.24344479871399 \tabularnewline
0.3 & 540.950706779105 & 8.21186724524803 \tabularnewline
0.305 & 541.70724939466 & 8.17568889467242 \tabularnewline
0.31 & 542.456630520749 & 8.13474973974608 \tabularnewline
0.315 & 543.198612281992 & 8.09017075920518 \tabularnewline
0.32 & 543.932951041654 & 8.04045139157671 \tabularnewline
0.325 & 544.659399527164 & 7.98696476689602 \tabularnewline
0.33 & 545.377708928131 & 7.92886973165007 \tabularnewline
0.335 & 546.087631072915 & 7.86658434486405 \tabularnewline
0.34 & 546.788920793641 & 7.7988363570465 \tabularnewline
0.345 & 547.481338573095 & 7.7274105361016 \tabularnewline
0.35 & 548.164653534652 & 7.65128549406883 \tabularnewline
0.355 & 548.838646794144 & 7.57135797017168 \tabularnewline
0.36 & 549.503115146475 & 7.4861613640869 \tabularnewline
0.365 & 550.157875015672 & 7.39770798735135 \tabularnewline
0.37 & 550.802766560084 & 7.30526042273324 \tabularnewline
0.375 & 551.437657798184 & 7.20931015754904 \tabularnewline
0.38 & 552.062448607249 & 7.11097038454676 \tabularnewline
0.385 & 552.677074447668 & 7.01007016957859 \tabularnewline
0.39 & 553.281509678923 & 6.90736518044747 \tabularnewline
0.395 & 553.875770357292 & 6.8040390278374 \tabularnewline
0.4 & 554.459916437202 & 6.69980244747913 \tabularnewline
0.405 & 555.034053334177 & 6.59620804906313 \tabularnewline
0.41 & 555.598332844197 & 6.49310537168492 \tabularnewline
0.415 & 556.152953448478 & 6.39157752987791 \tabularnewline
0.42 & 556.698160061542 & 6.29258462917835 \tabularnewline
0.425 & 557.234243302053 & 6.19592958485772 \tabularnewline
0.43 & 557.761538379076 & 6.10300543403833 \tabularnewline
0.435 & 558.280423691143 & 6.01389780108938 \tabularnewline
0.44 & 558.791319232253 & 5.92867466342591 \tabularnewline
0.445 & 559.294684889138 & 5.84804902742052 \tabularnewline
0.45 & 559.791018699367 & 5.77327307749742 \tabularnewline
0.455 & 560.280855122104 & 5.70396435646446 \tabularnewline
0.46 & 560.764763354387 & 5.64098370997554 \tabularnewline
0.465 & 561.243345707208 & 5.58382696002497 \tabularnewline
0.47 & 561.717236038672 & 5.53479960211726 \tabularnewline
0.475 & 562.187098226721 & 5.49219204001279 \tabularnewline
0.48 & 562.65362465144 & 5.45767874174844 \tabularnewline
0.485 & 563.117534646564 & 5.43129552017978 \tabularnewline
0.49 & 563.579572870762 & 5.41311363654609 \tabularnewline
0.495 & 564.040507540701 & 5.40399546675058 \tabularnewline
0.5 & 564.501128459075 & 5.40401366719182 \tabularnewline
0.505 & 564.962244760864 & 5.41261058434597 \tabularnewline
0.51 & 565.424682290104 & 5.43183589772328 \tabularnewline
0.515 & 565.88928050738 & 5.45991795048996 \tabularnewline
0.52 & 566.356888816214 & 5.4974834326511 \tabularnewline
0.525 & 566.828362185802 & 5.54518087722323 \tabularnewline
0.53 & 567.304555940349 & 5.60312509765021 \tabularnewline
0.535 & 567.786319583719 & 5.6703204059107 \tabularnewline
0.54 & 568.274489535037 & 5.74698533380213 \tabularnewline
0.545 & 568.769880668448 & 5.83302185132984 \tabularnewline
0.55 & 569.273276580659 & 5.92845093975001 \tabularnewline
0.555 & 569.785418554254 & 6.03199558200652 \tabularnewline
0.56 & 570.306993243543 & 6.14370482963807 \tabularnewline
0.565 & 570.838619181871 & 6.2628421449384 \tabularnewline
0.57 & 571.380832292712 & 6.38763695090337 \tabularnewline
0.575 & 571.934070677964 & 6.5174338588671 \tabularnewline
0.58 & 572.498659050852 & 6.65098190801242 \tabularnewline
0.585 & 573.074793272061 & 6.78644731483697 \tabularnewline
0.59 & 573.662525529749 & 6.92195859226746 \tabularnewline
0.595 & 574.261750770381 & 7.05548477470261 \tabularnewline
0.6 & 574.872195031687 & 7.1852124503133 \tabularnewline
0.605 & 575.493406346028 & 7.30804056911775 \tabularnewline
0.61 & 576.124748868084 & 7.42246367479053 \tabularnewline
0.615 & 576.765400832752 & 7.52605601817555 \tabularnewline
0.62 & 577.41435686736 & 7.61556785767306 \tabularnewline
0.625 & 578.070435068877 & 7.68937923763669 \tabularnewline
0.63 & 578.732289116096 & 7.74488508167162 \tabularnewline
0.635 & 579.398425525195 & 7.78075378136439 \tabularnewline
0.64 & 580.067225982703 & 7.79481346924976 \tabularnewline
0.645 & 580.736974511772 & 7.7865575369793 \tabularnewline
0.65 & 581.405889055194 & 7.7547598752802 \tabularnewline
0.655 & 582.072156900854 & 7.69879642268639 \tabularnewline
0.66 & 582.733973239934 & 7.61955535207161 \tabularnewline
0.665 & 583.389582041049 & 7.5174253779055 \tabularnewline
0.67 & 584.037318347852 & 7.3937836145903 \tabularnewline
0.675 & 584.6756510639 & 7.24974637846405 \tabularnewline
0.68 & 585.303225274086 & 7.08749179097971 \tabularnewline
0.685 & 585.91890316155 & 6.91071211938345 \tabularnewline
0.69 & 586.521802605034 & 6.7205640176141 \tabularnewline
0.695 & 587.111332575572 & 6.52229909241904 \tabularnewline
0.7 & 587.687224484139 & 6.31891612562246 \tabularnewline
0.705 & 588.249558655753 & 6.11446516347589 \tabularnewline
0.71 & 588.798785115255 & 5.91245880288469 \tabularnewline
0.715 & 589.335737864188 & 5.71856368328981 \tabularnewline
0.72 & 589.861641810213 & 5.53656898041828 \tabularnewline
0.725 & 590.378111489357 & 5.37152980591468 \tabularnewline
0.73 & 590.887140711382 & 5.22785379510972 \tabularnewline
0.735 & 591.391082279114 & 5.11022372650555 \tabularnewline
0.74 & 591.892617006463 & 5.02339736159641 \tabularnewline
0.745 & 592.394711411022 & 4.97054255496781 \tabularnewline
0.75 & 592.900563708021 & 4.9547422365384 \tabularnewline
0.755 & 593.413538099957 & 4.97933274477873 \tabularnewline
0.76 & 593.937087848723 & 5.04471457912036 \tabularnewline
0.765 & 594.474668229866 & 5.15057520199963 \tabularnewline
0.77 & 595.029641181774 & 5.29561198314892 \tabularnewline
0.775 & 595.605174238464 & 5.47636235980872 \tabularnewline
0.78 & 596.204137117911 & 5.68830903068165 \tabularnewline
0.785 & 596.829000057785 & 5.92574915420836 \tabularnewline
0.79 & 597.481738564612 & 6.18123541745241 \tabularnewline
0.795 & 598.163749584754 & 6.44763223351586 \tabularnewline
0.8 & 598.87578413496 & 6.71625434675349 \tabularnewline
0.805 & 599.617901081862 & 6.97909873743443 \tabularnewline
0.81 & 600.389445997155 & 7.22696321182383 \tabularnewline
0.815 & 601.189057840425 & 7.45171846203088 \tabularnewline
0.82 & 602.014704684595 & 7.6465727172781 \tabularnewline
0.825 & 602.863747900535 & 7.80430423274264 \tabularnewline
0.83 & 603.733032307159 & 7.9202694475682 \tabularnewline
0.835 & 604.618997959623 & 7.99133309549476 \tabularnewline
0.84 & 605.517807699199 & 8.01510248517701 \tabularnewline
0.845 & 606.425483526205 & 7.99153313436238 \tabularnewline
0.85 & 607.338044445938 & 7.92250520080453 \tabularnewline
0.855 & 608.251638768731 & 7.81137805384245 \tabularnewline
0.86 & 609.162664907814 & 7.66233617967312 \tabularnewline
0.865 & 610.067876377318 & 7.48112034835214 \tabularnewline
0.87 & 610.964468683452 & 7.273615688495 \tabularnewline
0.875 & 611.850147750383 & 7.04626559592527 \tabularnewline
0.88 & 612.72318098983 & 6.80434187215565 \tabularnewline
0.885 & 613.582432679827 & 6.55379060736825 \tabularnewline
0.89 & 614.427384638662 & 6.29873014363688 \tabularnewline
0.895 & 615.258141152088 & 6.044043851977 \tabularnewline
0.9 & 616.075413934491 & 5.79318037343343 \tabularnewline
0.905 & 616.880479154475 & 5.54990590756895 \tabularnewline
0.91 & 617.675095188794 & 5.31776625730602 \tabularnewline
0.915 & 618.461368033022 & 5.10094091574315 \tabularnewline
0.92 & 619.241552528422 & 4.9025579319453 \tabularnewline
0.925 & 620.017782867035 & 4.72503787617424 \tabularnewline
0.93 & 620.791735677001 & 4.56835292627983 \tabularnewline
0.935 & 621.564242765 & 4.42902246350406 \tabularnewline
0.94 & 622.334886302898 & 4.29933438561316 \tabularnewline
0.945 & 623.101623444112 & 4.16703350822246 \tabularnewline
0.95 & 623.860495587476 & 4.01633226041589 \tabularnewline
0.955 & 624.605475435357 & 3.8309627894882 \tabularnewline
0.96 & 625.328490268761 & 3.5965181678682 \tabularnewline
0.965 & 626.01963448006 & 3.30363000825504 \tabularnewline
0.97 & 626.667556746611 & 2.95228612973855 \tabularnewline
0.975 & 627.259992274711 & 2.55317236361973 \tabularnewline
0.98 & 627.78442611333 & 2.13007773761337 \tabularnewline
0.985 & 628.228930584102 & 1.71988522631608 \tabularnewline
0.99 & 628.583306697669 & 1.36865715686856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19606&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]471.596909700746[/C][C]9.1318826338098[/C][/ROW]
[ROW][C]0.015[/C][C]473.544084446204[/C][C]9.37582838046038[/C][/ROW]
[ROW][C]0.02[/C][C]475.760075428587[/C][C]9.6269869942707[/C][/ROW]
[ROW][C]0.025[/C][C]478.123886050056[/C][C]9.82269041800545[/C][/ROW]
[ROW][C]0.03[/C][C]480.536289374134[/C][C]9.9250645007549[/C][/ROW]
[ROW][C]0.035[/C][C]482.924806577597[/C][C]9.93064740649862[/C][/ROW]
[ROW][C]0.04[/C][C]485.242239582984[/C][C]9.86118676385484[/C][/ROW]
[ROW][C]0.045[/C][C]487.461990571664[/C][C]9.74934952251[/C][/ROW]
[ROW][C]0.05[/C][C]489.572469774915[/C][C]9.62440289595452[/C][/ROW]
[ROW][C]0.055[/C][C]491.571925243705[/C][C]9.5036133814784[/C][/ROW]
[ROW][C]0.06[/C][C]493.464291116841[/C][C]9.39149768111733[/C][/ROW]
[ROW][C]0.065[/C][C]495.256190200449[/C][C]9.28309295642366[/C][/ROW]
[ROW][C]0.07[/C][C]496.954986591455[/C][C]9.16763751409182[/C][/ROW]
[ROW][C]0.075[/C][C]498.567685980637[/C][C]9.0353033918124[/C][/ROW]
[ROW][C]0.08[/C][C]500.100460896928[/C][C]8.87997235513266[/C][/ROW]
[ROW][C]0.085[/C][C]501.558594690895[/C][C]8.70017938022614[/C][/ROW]
[ROW][C]0.09[/C][C]502.946669849483[/C][C]8.4991642320751[/C][/ROW]
[ROW][C]0.095[/C][C]504.268863189461[/C][C]8.28497538869815[/C][/ROW]
[ROW][C]0.1[/C][C]505.529247920633[/C][C]8.06785769420307[/C][/ROW]
[ROW][C]0.105[/C][C]506.73203779454[/C][C]7.85905978476744[/C][/ROW]
[ROW][C]0.11[/C][C]507.881739495868[/C][C]7.66942159584945[/C][/ROW]
[ROW][C]0.115[/C][C]508.983204505457[/C][C]7.50846215109953[/C][/ROW]
[ROW][C]0.12[/C][C]510.041589956231[/C][C]7.3833933074841[/C][/ROW]
[ROW][C]0.125[/C][C]511.062249422906[/C][C]7.2970449658279[/C][/ROW]
[ROW][C]0.13[/C][C]512.05057979746[/C][C]7.24999021806835[/C][/ROW]
[ROW][C]0.135[/C][C]513.011850612366[/C][C]7.2409187174018[/C][/ROW]
[ROW][C]0.14[/C][C]513.951038850982[/C][C]7.26394835144183[/C][/ROW]
[ROW][C]0.145[/C][C]514.872686897735[/C][C]7.31457168458972[/C][/ROW]
[ROW][C]0.15[/C][C]515.780795106191[/C][C]7.38555199869809[/C][/ROW]
[ROW][C]0.155[/C][C]516.678754479135[/C][C]7.47099416721563[/C][/ROW]
[ROW][C]0.16[/C][C]517.56931981185[/C][C]7.56486812918808[/C][/ROW]
[ROW][C]0.165[/C][C]518.454619696156[/C][C]7.6609269588508[/C][/ROW]
[ROW][C]0.17[/C][C]519.336197121893[/C][C]7.7556586010855[/C][/ROW]
[ROW][C]0.175[/C][C]520.215072972367[/C][C]7.84570173980831[/C][/ROW]
[ROW][C]0.18[/C][C]521.091824310108[/C][C]7.92796559313316[/C][/ROW]
[ROW][C]0.185[/C][C]521.966669755712[/C][C]8.00162569418322[/C][/ROW]
[ROW][C]0.19[/C][C]522.839555231788[/C][C]8.06594668264123[/C][/ROW]
[ROW][C]0.195[/C][C]523.710234649664[/C][C]8.12074507659219[/C][/ROW]
[ROW][C]0.2[/C][C]524.57834156604[/C][C]8.16645255608284[/C][/ROW]
[ROW][C]0.205[/C][C]525.443449277848[/C][C]8.20431628336966[/C][/ROW]
[ROW][C]0.21[/C][C]526.305118145155[/C][C]8.23556928175935[/C][/ROW]
[ROW][C]0.215[/C][C]527.16293006071[/C][C]8.261401382747[/C][/ROW]
[ROW][C]0.22[/C][C]528.016510879725[/C][C]8.28170130557374[/C][/ROW]
[ROW][C]0.225[/C][C]528.86554227058[/C][C]8.29930793263438[/C][/ROW]
[ROW][C]0.23[/C][C]529.709764852761[/C][C]8.31363743508878[/C][/ROW]
[ROW][C]0.235[/C][C]530.54897467421[/C][C]8.32480534642072[/C][/ROW]
[ROW][C]0.24[/C][C]531.383015078868[/C][C]8.33449846502332[/C][/ROW]
[ROW][C]0.245[/C][C]532.211765864922[/C][C]8.34176097931426[/C][/ROW]
[ROW][C]0.25[/C][C]533.035131376699[/C][C]8.34728344249346[/C][/ROW]
[ROW][C]0.255[/C][C]533.853028849019[/C][C]8.34969405403606[/C][/ROW]
[ROW][C]0.26[/C][C]534.665377970215[/C][C]8.34940106233576[/C][/ROW]
[ROW][C]0.265[/C][C]535.472092281885[/C][C]8.34620069434251[/C][/ROW]
[ROW][C]0.27[/C][C]536.273072716384[/C][C]8.3387012574917[/C][/ROW]
[ROW][C]0.275[/C][C]537.06820330631[/C][C]8.32807438296777[/C][/ROW]
[ROW][C]0.28[/C][C]537.857348895675[/C][C]8.31352242004917[/C][/ROW]
[ROW][C]0.285[/C][C]538.640354544507[/C][C]8.29420892746804[/C][/ROW]
[ROW][C]0.29[/C][C]539.417046245503[/C][C]8.27121039855988[/C][/ROW]
[ROW][C]0.295[/C][C]540.187232555926[/C][C]8.24344479871399[/C][/ROW]
[ROW][C]0.3[/C][C]540.950706779105[/C][C]8.21186724524803[/C][/ROW]
[ROW][C]0.305[/C][C]541.70724939466[/C][C]8.17568889467242[/C][/ROW]
[ROW][C]0.31[/C][C]542.456630520749[/C][C]8.13474973974608[/C][/ROW]
[ROW][C]0.315[/C][C]543.198612281992[/C][C]8.09017075920518[/C][/ROW]
[ROW][C]0.32[/C][C]543.932951041654[/C][C]8.04045139157671[/C][/ROW]
[ROW][C]0.325[/C][C]544.659399527164[/C][C]7.98696476689602[/C][/ROW]
[ROW][C]0.33[/C][C]545.377708928131[/C][C]7.92886973165007[/C][/ROW]
[ROW][C]0.335[/C][C]546.087631072915[/C][C]7.86658434486405[/C][/ROW]
[ROW][C]0.34[/C][C]546.788920793641[/C][C]7.7988363570465[/C][/ROW]
[ROW][C]0.345[/C][C]547.481338573095[/C][C]7.7274105361016[/C][/ROW]
[ROW][C]0.35[/C][C]548.164653534652[/C][C]7.65128549406883[/C][/ROW]
[ROW][C]0.355[/C][C]548.838646794144[/C][C]7.57135797017168[/C][/ROW]
[ROW][C]0.36[/C][C]549.503115146475[/C][C]7.4861613640869[/C][/ROW]
[ROW][C]0.365[/C][C]550.157875015672[/C][C]7.39770798735135[/C][/ROW]
[ROW][C]0.37[/C][C]550.802766560084[/C][C]7.30526042273324[/C][/ROW]
[ROW][C]0.375[/C][C]551.437657798184[/C][C]7.20931015754904[/C][/ROW]
[ROW][C]0.38[/C][C]552.062448607249[/C][C]7.11097038454676[/C][/ROW]
[ROW][C]0.385[/C][C]552.677074447668[/C][C]7.01007016957859[/C][/ROW]
[ROW][C]0.39[/C][C]553.281509678923[/C][C]6.90736518044747[/C][/ROW]
[ROW][C]0.395[/C][C]553.875770357292[/C][C]6.8040390278374[/C][/ROW]
[ROW][C]0.4[/C][C]554.459916437202[/C][C]6.69980244747913[/C][/ROW]
[ROW][C]0.405[/C][C]555.034053334177[/C][C]6.59620804906313[/C][/ROW]
[ROW][C]0.41[/C][C]555.598332844197[/C][C]6.49310537168492[/C][/ROW]
[ROW][C]0.415[/C][C]556.152953448478[/C][C]6.39157752987791[/C][/ROW]
[ROW][C]0.42[/C][C]556.698160061542[/C][C]6.29258462917835[/C][/ROW]
[ROW][C]0.425[/C][C]557.234243302053[/C][C]6.19592958485772[/C][/ROW]
[ROW][C]0.43[/C][C]557.761538379076[/C][C]6.10300543403833[/C][/ROW]
[ROW][C]0.435[/C][C]558.280423691143[/C][C]6.01389780108938[/C][/ROW]
[ROW][C]0.44[/C][C]558.791319232253[/C][C]5.92867466342591[/C][/ROW]
[ROW][C]0.445[/C][C]559.294684889138[/C][C]5.84804902742052[/C][/ROW]
[ROW][C]0.45[/C][C]559.791018699367[/C][C]5.77327307749742[/C][/ROW]
[ROW][C]0.455[/C][C]560.280855122104[/C][C]5.70396435646446[/C][/ROW]
[ROW][C]0.46[/C][C]560.764763354387[/C][C]5.64098370997554[/C][/ROW]
[ROW][C]0.465[/C][C]561.243345707208[/C][C]5.58382696002497[/C][/ROW]
[ROW][C]0.47[/C][C]561.717236038672[/C][C]5.53479960211726[/C][/ROW]
[ROW][C]0.475[/C][C]562.187098226721[/C][C]5.49219204001279[/C][/ROW]
[ROW][C]0.48[/C][C]562.65362465144[/C][C]5.45767874174844[/C][/ROW]
[ROW][C]0.485[/C][C]563.117534646564[/C][C]5.43129552017978[/C][/ROW]
[ROW][C]0.49[/C][C]563.579572870762[/C][C]5.41311363654609[/C][/ROW]
[ROW][C]0.495[/C][C]564.040507540701[/C][C]5.40399546675058[/C][/ROW]
[ROW][C]0.5[/C][C]564.501128459075[/C][C]5.40401366719182[/C][/ROW]
[ROW][C]0.505[/C][C]564.962244760864[/C][C]5.41261058434597[/C][/ROW]
[ROW][C]0.51[/C][C]565.424682290104[/C][C]5.43183589772328[/C][/ROW]
[ROW][C]0.515[/C][C]565.88928050738[/C][C]5.45991795048996[/C][/ROW]
[ROW][C]0.52[/C][C]566.356888816214[/C][C]5.4974834326511[/C][/ROW]
[ROW][C]0.525[/C][C]566.828362185802[/C][C]5.54518087722323[/C][/ROW]
[ROW][C]0.53[/C][C]567.304555940349[/C][C]5.60312509765021[/C][/ROW]
[ROW][C]0.535[/C][C]567.786319583719[/C][C]5.6703204059107[/C][/ROW]
[ROW][C]0.54[/C][C]568.274489535037[/C][C]5.74698533380213[/C][/ROW]
[ROW][C]0.545[/C][C]568.769880668448[/C][C]5.83302185132984[/C][/ROW]
[ROW][C]0.55[/C][C]569.273276580659[/C][C]5.92845093975001[/C][/ROW]
[ROW][C]0.555[/C][C]569.785418554254[/C][C]6.03199558200652[/C][/ROW]
[ROW][C]0.56[/C][C]570.306993243543[/C][C]6.14370482963807[/C][/ROW]
[ROW][C]0.565[/C][C]570.838619181871[/C][C]6.2628421449384[/C][/ROW]
[ROW][C]0.57[/C][C]571.380832292712[/C][C]6.38763695090337[/C][/ROW]
[ROW][C]0.575[/C][C]571.934070677964[/C][C]6.5174338588671[/C][/ROW]
[ROW][C]0.58[/C][C]572.498659050852[/C][C]6.65098190801242[/C][/ROW]
[ROW][C]0.585[/C][C]573.074793272061[/C][C]6.78644731483697[/C][/ROW]
[ROW][C]0.59[/C][C]573.662525529749[/C][C]6.92195859226746[/C][/ROW]
[ROW][C]0.595[/C][C]574.261750770381[/C][C]7.05548477470261[/C][/ROW]
[ROW][C]0.6[/C][C]574.872195031687[/C][C]7.1852124503133[/C][/ROW]
[ROW][C]0.605[/C][C]575.493406346028[/C][C]7.30804056911775[/C][/ROW]
[ROW][C]0.61[/C][C]576.124748868084[/C][C]7.42246367479053[/C][/ROW]
[ROW][C]0.615[/C][C]576.765400832752[/C][C]7.52605601817555[/C][/ROW]
[ROW][C]0.62[/C][C]577.41435686736[/C][C]7.61556785767306[/C][/ROW]
[ROW][C]0.625[/C][C]578.070435068877[/C][C]7.68937923763669[/C][/ROW]
[ROW][C]0.63[/C][C]578.732289116096[/C][C]7.74488508167162[/C][/ROW]
[ROW][C]0.635[/C][C]579.398425525195[/C][C]7.78075378136439[/C][/ROW]
[ROW][C]0.64[/C][C]580.067225982703[/C][C]7.79481346924976[/C][/ROW]
[ROW][C]0.645[/C][C]580.736974511772[/C][C]7.7865575369793[/C][/ROW]
[ROW][C]0.65[/C][C]581.405889055194[/C][C]7.7547598752802[/C][/ROW]
[ROW][C]0.655[/C][C]582.072156900854[/C][C]7.69879642268639[/C][/ROW]
[ROW][C]0.66[/C][C]582.733973239934[/C][C]7.61955535207161[/C][/ROW]
[ROW][C]0.665[/C][C]583.389582041049[/C][C]7.5174253779055[/C][/ROW]
[ROW][C]0.67[/C][C]584.037318347852[/C][C]7.3937836145903[/C][/ROW]
[ROW][C]0.675[/C][C]584.6756510639[/C][C]7.24974637846405[/C][/ROW]
[ROW][C]0.68[/C][C]585.303225274086[/C][C]7.08749179097971[/C][/ROW]
[ROW][C]0.685[/C][C]585.91890316155[/C][C]6.91071211938345[/C][/ROW]
[ROW][C]0.69[/C][C]586.521802605034[/C][C]6.7205640176141[/C][/ROW]
[ROW][C]0.695[/C][C]587.111332575572[/C][C]6.52229909241904[/C][/ROW]
[ROW][C]0.7[/C][C]587.687224484139[/C][C]6.31891612562246[/C][/ROW]
[ROW][C]0.705[/C][C]588.249558655753[/C][C]6.11446516347589[/C][/ROW]
[ROW][C]0.71[/C][C]588.798785115255[/C][C]5.91245880288469[/C][/ROW]
[ROW][C]0.715[/C][C]589.335737864188[/C][C]5.71856368328981[/C][/ROW]
[ROW][C]0.72[/C][C]589.861641810213[/C][C]5.53656898041828[/C][/ROW]
[ROW][C]0.725[/C][C]590.378111489357[/C][C]5.37152980591468[/C][/ROW]
[ROW][C]0.73[/C][C]590.887140711382[/C][C]5.22785379510972[/C][/ROW]
[ROW][C]0.735[/C][C]591.391082279114[/C][C]5.11022372650555[/C][/ROW]
[ROW][C]0.74[/C][C]591.892617006463[/C][C]5.02339736159641[/C][/ROW]
[ROW][C]0.745[/C][C]592.394711411022[/C][C]4.97054255496781[/C][/ROW]
[ROW][C]0.75[/C][C]592.900563708021[/C][C]4.9547422365384[/C][/ROW]
[ROW][C]0.755[/C][C]593.413538099957[/C][C]4.97933274477873[/C][/ROW]
[ROW][C]0.76[/C][C]593.937087848723[/C][C]5.04471457912036[/C][/ROW]
[ROW][C]0.765[/C][C]594.474668229866[/C][C]5.15057520199963[/C][/ROW]
[ROW][C]0.77[/C][C]595.029641181774[/C][C]5.29561198314892[/C][/ROW]
[ROW][C]0.775[/C][C]595.605174238464[/C][C]5.47636235980872[/C][/ROW]
[ROW][C]0.78[/C][C]596.204137117911[/C][C]5.68830903068165[/C][/ROW]
[ROW][C]0.785[/C][C]596.829000057785[/C][C]5.92574915420836[/C][/ROW]
[ROW][C]0.79[/C][C]597.481738564612[/C][C]6.18123541745241[/C][/ROW]
[ROW][C]0.795[/C][C]598.163749584754[/C][C]6.44763223351586[/C][/ROW]
[ROW][C]0.8[/C][C]598.87578413496[/C][C]6.71625434675349[/C][/ROW]
[ROW][C]0.805[/C][C]599.617901081862[/C][C]6.97909873743443[/C][/ROW]
[ROW][C]0.81[/C][C]600.389445997155[/C][C]7.22696321182383[/C][/ROW]
[ROW][C]0.815[/C][C]601.189057840425[/C][C]7.45171846203088[/C][/ROW]
[ROW][C]0.82[/C][C]602.014704684595[/C][C]7.6465727172781[/C][/ROW]
[ROW][C]0.825[/C][C]602.863747900535[/C][C]7.80430423274264[/C][/ROW]
[ROW][C]0.83[/C][C]603.733032307159[/C][C]7.9202694475682[/C][/ROW]
[ROW][C]0.835[/C][C]604.618997959623[/C][C]7.99133309549476[/C][/ROW]
[ROW][C]0.84[/C][C]605.517807699199[/C][C]8.01510248517701[/C][/ROW]
[ROW][C]0.845[/C][C]606.425483526205[/C][C]7.99153313436238[/C][/ROW]
[ROW][C]0.85[/C][C]607.338044445938[/C][C]7.92250520080453[/C][/ROW]
[ROW][C]0.855[/C][C]608.251638768731[/C][C]7.81137805384245[/C][/ROW]
[ROW][C]0.86[/C][C]609.162664907814[/C][C]7.66233617967312[/C][/ROW]
[ROW][C]0.865[/C][C]610.067876377318[/C][C]7.48112034835214[/C][/ROW]
[ROW][C]0.87[/C][C]610.964468683452[/C][C]7.273615688495[/C][/ROW]
[ROW][C]0.875[/C][C]611.850147750383[/C][C]7.04626559592527[/C][/ROW]
[ROW][C]0.88[/C][C]612.72318098983[/C][C]6.80434187215565[/C][/ROW]
[ROW][C]0.885[/C][C]613.582432679827[/C][C]6.55379060736825[/C][/ROW]
[ROW][C]0.89[/C][C]614.427384638662[/C][C]6.29873014363688[/C][/ROW]
[ROW][C]0.895[/C][C]615.258141152088[/C][C]6.044043851977[/C][/ROW]
[ROW][C]0.9[/C][C]616.075413934491[/C][C]5.79318037343343[/C][/ROW]
[ROW][C]0.905[/C][C]616.880479154475[/C][C]5.54990590756895[/C][/ROW]
[ROW][C]0.91[/C][C]617.675095188794[/C][C]5.31776625730602[/C][/ROW]
[ROW][C]0.915[/C][C]618.461368033022[/C][C]5.10094091574315[/C][/ROW]
[ROW][C]0.92[/C][C]619.241552528422[/C][C]4.9025579319453[/C][/ROW]
[ROW][C]0.925[/C][C]620.017782867035[/C][C]4.72503787617424[/C][/ROW]
[ROW][C]0.93[/C][C]620.791735677001[/C][C]4.56835292627983[/C][/ROW]
[ROW][C]0.935[/C][C]621.564242765[/C][C]4.42902246350406[/C][/ROW]
[ROW][C]0.94[/C][C]622.334886302898[/C][C]4.29933438561316[/C][/ROW]
[ROW][C]0.945[/C][C]623.101623444112[/C][C]4.16703350822246[/C][/ROW]
[ROW][C]0.95[/C][C]623.860495587476[/C][C]4.01633226041589[/C][/ROW]
[ROW][C]0.955[/C][C]624.605475435357[/C][C]3.8309627894882[/C][/ROW]
[ROW][C]0.96[/C][C]625.328490268761[/C][C]3.5965181678682[/C][/ROW]
[ROW][C]0.965[/C][C]626.01963448006[/C][C]3.30363000825504[/C][/ROW]
[ROW][C]0.97[/C][C]626.667556746611[/C][C]2.95228612973855[/C][/ROW]
[ROW][C]0.975[/C][C]627.259992274711[/C][C]2.55317236361973[/C][/ROW]
[ROW][C]0.98[/C][C]627.78442611333[/C][C]2.13007773761337[/C][/ROW]
[ROW][C]0.985[/C][C]628.228930584102[/C][C]1.71988522631608[/C][/ROW]
[ROW][C]0.99[/C][C]628.583306697669[/C][C]1.36865715686856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19606&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19606&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
0.01471.5969097007469.1318826338098
0.015473.5440844462049.37582838046038
0.02475.7600754285879.6269869942707
0.025478.1238860500569.82269041800545
0.03480.5362893741349.9250645007549
0.035482.9248065775979.93064740649862
0.04485.2422395829849.86118676385484
0.045487.4619905716649.74934952251
0.05489.5724697749159.62440289595452
0.055491.5719252437059.5036133814784
0.06493.4642911168419.39149768111733
0.065495.2561902004499.28309295642366
0.07496.9549865914559.16763751409182
0.075498.5676859806379.0353033918124
0.08500.1004608969288.87997235513266
0.085501.5585946908958.70017938022614
0.09502.9466698494838.4991642320751
0.095504.2688631894618.28497538869815
0.1505.5292479206338.06785769420307
0.105506.732037794547.85905978476744
0.11507.8817394958687.66942159584945
0.115508.9832045054577.50846215109953
0.12510.0415899562317.3833933074841
0.125511.0622494229067.2970449658279
0.13512.050579797467.24999021806835
0.135513.0118506123667.2409187174018
0.14513.9510388509827.26394835144183
0.145514.8726868977357.31457168458972
0.15515.7807951061917.38555199869809
0.155516.6787544791357.47099416721563
0.16517.569319811857.56486812918808
0.165518.4546196961567.6609269588508
0.17519.3361971218937.7556586010855
0.175520.2150729723677.84570173980831
0.18521.0918243101087.92796559313316
0.185521.9666697557128.00162569418322
0.19522.8395552317888.06594668264123
0.195523.7102346496648.12074507659219
0.2524.578341566048.16645255608284
0.205525.4434492778488.20431628336966
0.21526.3051181451558.23556928175935
0.215527.162930060718.261401382747
0.22528.0165108797258.28170130557374
0.225528.865542270588.29930793263438
0.23529.7097648527618.31363743508878
0.235530.548974674218.32480534642072
0.24531.3830150788688.33449846502332
0.245532.2117658649228.34176097931426
0.25533.0351313766998.34728344249346
0.255533.8530288490198.34969405403606
0.26534.6653779702158.34940106233576
0.265535.4720922818858.34620069434251
0.27536.2730727163848.3387012574917
0.275537.068203306318.32807438296777
0.28537.8573488956758.31352242004917
0.285538.6403545445078.29420892746804
0.29539.4170462455038.27121039855988
0.295540.1872325559268.24344479871399
0.3540.9507067791058.21186724524803
0.305541.707249394668.17568889467242
0.31542.4566305207498.13474973974608
0.315543.1986122819928.09017075920518
0.32543.9329510416548.04045139157671
0.325544.6593995271647.98696476689602
0.33545.3777089281317.92886973165007
0.335546.0876310729157.86658434486405
0.34546.7889207936417.7988363570465
0.345547.4813385730957.7274105361016
0.35548.1646535346527.65128549406883
0.355548.8386467941447.57135797017168
0.36549.5031151464757.4861613640869
0.365550.1578750156727.39770798735135
0.37550.8027665600847.30526042273324
0.375551.4376577981847.20931015754904
0.38552.0624486072497.11097038454676
0.385552.6770744476687.01007016957859
0.39553.2815096789236.90736518044747
0.395553.8757703572926.8040390278374
0.4554.4599164372026.69980244747913
0.405555.0340533341776.59620804906313
0.41555.5983328441976.49310537168492
0.415556.1529534484786.39157752987791
0.42556.6981600615426.29258462917835
0.425557.2342433020536.19592958485772
0.43557.7615383790766.10300543403833
0.435558.2804236911436.01389780108938
0.44558.7913192322535.92867466342591
0.445559.2946848891385.84804902742052
0.45559.7910186993675.77327307749742
0.455560.2808551221045.70396435646446
0.46560.7647633543875.64098370997554
0.465561.2433457072085.58382696002497
0.47561.7172360386725.53479960211726
0.475562.1870982267215.49219204001279
0.48562.653624651445.45767874174844
0.485563.1175346465645.43129552017978
0.49563.5795728707625.41311363654609
0.495564.0405075407015.40399546675058
0.5564.5011284590755.40401366719182
0.505564.9622447608645.41261058434597
0.51565.4246822901045.43183589772328
0.515565.889280507385.45991795048996
0.52566.3568888162145.4974834326511
0.525566.8283621858025.54518087722323
0.53567.3045559403495.60312509765021
0.535567.7863195837195.6703204059107
0.54568.2744895350375.74698533380213
0.545568.7698806684485.83302185132984
0.55569.2732765806595.92845093975001
0.555569.7854185542546.03199558200652
0.56570.3069932435436.14370482963807
0.565570.8386191818716.2628421449384
0.57571.3808322927126.38763695090337
0.575571.9340706779646.5174338588671
0.58572.4986590508526.65098190801242
0.585573.0747932720616.78644731483697
0.59573.6625255297496.92195859226746
0.595574.2617507703817.05548477470261
0.6574.8721950316877.1852124503133
0.605575.4934063460287.30804056911775
0.61576.1247488680847.42246367479053
0.615576.7654008327527.52605601817555
0.62577.414356867367.61556785767306
0.625578.0704350688777.68937923763669
0.63578.7322891160967.74488508167162
0.635579.3984255251957.78075378136439
0.64580.0672259827037.79481346924976
0.645580.7369745117727.7865575369793
0.65581.4058890551947.7547598752802
0.655582.0721569008547.69879642268639
0.66582.7339732399347.61955535207161
0.665583.3895820410497.5174253779055
0.67584.0373183478527.3937836145903
0.675584.67565106397.24974637846405
0.68585.3032252740867.08749179097971
0.685585.918903161556.91071211938345
0.69586.5218026050346.7205640176141
0.695587.1113325755726.52229909241904
0.7587.6872244841396.31891612562246
0.705588.2495586557536.11446516347589
0.71588.7987851152555.91245880288469
0.715589.3357378641885.71856368328981
0.72589.8616418102135.53656898041828
0.725590.3781114893575.37152980591468
0.73590.8871407113825.22785379510972
0.735591.3910822791145.11022372650555
0.74591.8926170064635.02339736159641
0.745592.3947114110224.97054255496781
0.75592.9005637080214.9547422365384
0.755593.4135380999574.97933274477873
0.76593.9370878487235.04471457912036
0.765594.4746682298665.15057520199963
0.77595.0296411817745.29561198314892
0.775595.6051742384645.47636235980872
0.78596.2041371179115.68830903068165
0.785596.8290000577855.92574915420836
0.79597.4817385646126.18123541745241
0.795598.1637495847546.44763223351586
0.8598.875784134966.71625434675349
0.805599.6179010818626.97909873743443
0.81600.3894459971557.22696321182383
0.815601.1890578404257.45171846203088
0.82602.0147046845957.6465727172781
0.825602.8637479005357.80430423274264
0.83603.7330323071597.9202694475682
0.835604.6189979596237.99133309549476
0.84605.5178076991998.01510248517701
0.845606.4254835262057.99153313436238
0.85607.3380444459387.92250520080453
0.855608.2516387687317.81137805384245
0.86609.1626649078147.66233617967312
0.865610.0678763773187.48112034835214
0.87610.9644686834527.273615688495
0.875611.8501477503837.04626559592527
0.88612.723180989836.80434187215565
0.885613.5824326798276.55379060736825
0.89614.4273846386626.29873014363688
0.895615.2581411520886.044043851977
0.9616.0754139344915.79318037343343
0.905616.8804791544755.54990590756895
0.91617.6750951887945.31776625730602
0.915618.4613680330225.10094091574315
0.92619.2415525284224.9025579319453
0.925620.0177828670354.72503787617424
0.93620.7917356770014.56835292627983
0.935621.5642427654.42902246350406
0.94622.3348863028984.29933438561316
0.945623.1016234441124.16703350822246
0.95623.8604955874764.01633226041589
0.955624.6054754353573.8309627894882
0.96625.3284902687613.5965181678682
0.965626.019634480063.30363000825504
0.97626.6675567466112.95228612973855
0.975627.2599922747112.55317236361973
0.98627.784426113332.13007773761337
0.985628.2289305841021.71988522631608
0.99628.5833066976691.36865715686856


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')