FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Q9 Harrell-Davis Quantiles reeks:Het aantal niet werkende werkzoekenden in ...

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 12:01:08 -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/t1225130558qwqwrlc2xtjqqod.htm/, Retrieved Fri, 17 May 2024 06:36:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19347, Retrieved Fri, 17 May 2024 06:36:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigation Dis...] [2007-10-21 17:06:37] [b9964c45117f7aac638ab9056d451faa]
F    D  [Univariate Explorative Data Analysis] [Reproduce Q2] [2008-10-24 13:27:07] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F    D    [Univariate Explorative Data Analysis] [Q7 reeks: Het aan...] [2008-10-27 17:01:24] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
- RMP       [Central Tendency] [Q9 Central Tenden...] [2008-10-27 17:51:46] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
- RMP           [Harrell-Davis Quantiles] [Q9 Harrell-Davis ...] [2008-10-27 18:01:08] [5e9e099b83e50415d7642e10d74756e4] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19347&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19347&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19347&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01471884.5914084778623.22851430121
0.015473799.5281195679029.48453096821
0.02475989.3239762339421.8075840742
0.025478333.9229225289716.6391713876
0.03480733.5906768339872.6122658173
0.035483114.4804045259895.60288458923
0.04485427.7465782369821.11553831608
0.045487645.3198072869695.61875778755
0.05489754.5823889639558.36672999337
0.055491753.2773533469432.36412687083
0.06493645.291395689323.3085334554
0.065495437.5114510759224.54244757779
0.07497137.7118058119123.7230019647
0.075498753.3133482599008.89927212668
0.08500290.81434198871.09517903635
0.085501755.689595578708.62732237961
0.09503152.5742499918524.36412569146
0.095504485.5800109678325.43164223945
0.1505758.6293209128122.44026290752
0.105506975.7316501027927.16632535917
0.11508141.161594767749.7792789225
0.115509259.5276946827599.45801419285
0.12510335.742144687482.99053131668
0.125511374.9146032597402.6891725164
0.13512382.1989679737359.90460351357
0.135513362.6218694427351.2338470259
0.14514320.9175878437373.18315339699
0.145515261.3878930637419.17492301411
0.15516187.7984285337483.39241203847
0.155517103.316773457559.12448705496
0.16518010.4918969117641.37629011534
0.165518911.2706774927724.3893684938
0.17519807.0445531867805.42780012417
0.175520698.7180609077879.81049684113
0.18521586.7907934467947.17089302834
0.185522471.4448769768005.84399290079
0.19523352.6311892518055.00730844153
0.195524230.1489617548095.31041331162
0.2525103.7149436788128.81094781895
0.205525973.019802788156.06630161469
0.21526837.7707912748178.42040707552
0.215527697.7208461388196.2412857981
0.22528552.6851860068212.20559543246
0.225529402.54710078226.8498196236
0.23530247.2550138198240.79048304321
0.235531086.8130577698254.12000874473
0.24531921.2673687428268.2507947155
0.245532750.6901270868281.7489816534
0.25533575.1630795568294.24390620455
0.255534394.7619268778306.42520516315
0.26535209.5425823298316.93768457263
0.265536019.5299385928324.92824882646
0.27536824.7094479608330.34412197399
0.275537625.0215441098332.87200981493
0.28538420.3587229968330.52382386003
0.285539210.564959218325.06924152592
0.29539995.4370590168313.9494351815
0.295540774.7275334458297.92483457355
0.3541548.1486020678276.26328694356
0.305542315.376996098248.5334014697
0.31543076.0593040058215.17862707949
0.315543829.8176806928175.67558097575
0.32544576.2558111418129.93895207668
0.325545314.9650745298077.9126980698
0.33546045.5308891768018.6996095776
0.335546767.5392323587952.39605671026
0.34547480.5833229717880.36122370506
0.345548184.2704334727801.83347971743
0.35548878.2287658287716.82384789498
0.355549562.1142905427626.22270345971
0.36550235.617414237530.08091152281
0.365550898.4693148927428.98921633495
0.37551550.4477690157323.08792308886
0.375552191.3822932227214.15238234588
0.38552821.1584361297102.40366687116
0.385553439.7210823956988.89212284766
0.39554047.0766683046874.35594063635
0.395554643.2942533966759.51619302308
0.4555228.5054416996645.01168021523
0.405555802.9031949726532.68539430877
0.41556366.739625426422.83023526127
0.415556920.3228933716315.57216498674
0.42557464.0133641976211.88825526019
0.425557998.2191971396113.19407006141
0.43558523.391546386019.09091311769
0.435559040.0195523615930.18180497074
0.44559548.6252905535846.90917383292
0.445560049.7588274365769.99903663205
0.45560543.9935116465699.21399289112
0.455561031.9216041995634.96770642303
0.46561514.1503273335577.16492173112
0.465561991.2983882365526.27958452915
0.47562463.9930126445481.94465344816
0.475562932.8675042645444.47325534739
0.48563398.5593289135413.94922332725
0.485563861.7087065035390.42455720841
0.49564322.9576783635374.02370515422
0.495564782.9496010985364.20024033537
0.5565242.3289999255361.60400238738
0.505565701.7416940325365.44720836566
0.51566161.8350835925376.23373268075
0.515566623.258463435394.59887099390
0.52567086.6632031775418.78541628552
0.525567552.702615450.8028320452
0.53568022.0312701375488.93248211657
0.535568495.3036523265534.57241734107
0.54568973.1717527215586.53562857506
0.545569456.2815697555646.083380563
0.55569945.2682210275712.26654551615
0.555570440.7495539645784.80204532382
0.56570943.3181584565864.87835635369
0.565571453.5317619175951.07210784184
0.57571971.9020734476042.9843485501
0.575572498.8822404276140.36860989802
0.58573034.8531835686241.77224315301
0.585573580.1091795126347.27613811864
0.59574134.8431573966453.55285737383
0.595574699.1322609186561.92601027632
0.6575272.9242940316668.85338772117
0.605575856.025710966772.7791471324
0.61576448.0918251946871.94673386561
0.615577048.6198945316964.0404310424
0.62577656.9456890597047.41717357827
0.625578272.2440668677119.19707366496
0.63578893.5339713397178.46493708237
0.635579519.688128847222.02973218284
0.64580149.4475728867249.2365691356
0.645580781.4409582367258.16790483526
0.65581414.2084639367248.0289267924
0.655582046.2299265357217.9504315719
0.66582675.9567010747167.41973770682
0.665583301.8466242137097.1733161998
0.67583922.4013554257007.42602396959
0.675584536.2053004476898.71125543745
0.68585141.9652756066773.17357097811
0.685585738.5500489946632.54405751562
0.69586325.0288893816479.24166847895
0.695586900.7082590866315.4506360967
0.7587465.1657948816144.76698998711
0.705588018.2807237665970.54399904096
0.71588560.2598520015796.90904677718
0.715589091.6582429515627.35264113662
0.72589613.3936628055465.2252243055
0.725590126.7538289855316.27578484116
0.73590633.3954553765183.94742084075
0.735591135.3340684125073.03130384411
0.74591634.9235901414987.84498653292
0.745592134.8247737434931.76514590419
0.75592637.9617591554908.72134339376
0.755593147.4663148574921.60347902218
0.76593666.6097634254972.50193978697
0.765594198.723159785062.02203246476
0.77594747.106994345188.6829760443
0.775595314.9325029395351.50639400624
0.78595905.1375360995546.5449609998
0.785596520.3208067795768.63675934128
0.79597162.6391156516011.952728821
0.795597833.7127514836269.64617703883
0.8598534.5445832736532.98753539214
0.805599265.4583096666794.01789278029
0.81600026.0608399817044.60349865092
0.815600815.2328145677276.02234878496
0.82601631.1498422547479.9306643685
0.825602471.3352081127649.3875437401
0.83603332.7427149737778.57519543096
0.835604211.8661527187863.40201861462
0.84605104.8698682437900.78370134495
0.845606007.7332826487889.98089606122
0.85606916.4012018087832.54553581911
0.855607826.9315684277730.71962767562
0.86608735.6329877887589.21865838913
0.865609639.1858729957413.62534557118
0.87610534.7431910797210.44577737469
0.875611420.0091867136986.46188297591
0.88612293.2966293226748.08726792744
0.885613153.5645270016501.60047814539
0.89614000.4383724716251.95643750627
0.895614834.2134934916004.57484265126
0.9615655.8389342955762.76001045474
0.905616466.8748749815529.94575309807
0.91617269.4117682565309.91629053968
0.915618065.9354717535106.45484216143
0.92618859.1213463464922.48433140339
0.925619651.5432999984760.69968280136
0.93620445.2924507634621.4569383504
0.935621241.5149650814501.79873419176
0.94622039.8988191824393.9325216747
0.945622838.1620892944285.01155638523
0.95623631.6164473044158.02223859514
0.955624412.8930747983993.35617692033
0.96625171.918422773772.25137391695
0.965625896.210309143480.07030607029
0.97626571.5312602493110.88503368673
0.975627182.8923697942670.47143899981
0.98627715.8595619982179.57077539339
0.985628158.0884783951675.41304004969
0.99628501.0092603281210.90278707474

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 471884.591408477 & 8623.22851430121 \tabularnewline
0.015 & 473799.528119567 & 9029.48453096821 \tabularnewline
0.02 & 475989.323976233 & 9421.8075840742 \tabularnewline
0.025 & 478333.922922528 & 9716.6391713876 \tabularnewline
0.03 & 480733.590676833 & 9872.6122658173 \tabularnewline
0.035 & 483114.480404525 & 9895.60288458923 \tabularnewline
0.04 & 485427.746578236 & 9821.11553831608 \tabularnewline
0.045 & 487645.319807286 & 9695.61875778755 \tabularnewline
0.05 & 489754.582388963 & 9558.36672999337 \tabularnewline
0.055 & 491753.277353346 & 9432.36412687083 \tabularnewline
0.06 & 493645.29139568 & 9323.3085334554 \tabularnewline
0.065 & 495437.511451075 & 9224.54244757779 \tabularnewline
0.07 & 497137.711805811 & 9123.7230019647 \tabularnewline
0.075 & 498753.313348259 & 9008.89927212668 \tabularnewline
0.08 & 500290.8143419 & 8871.09517903635 \tabularnewline
0.085 & 501755.68959557 & 8708.62732237961 \tabularnewline
0.09 & 503152.574249991 & 8524.36412569146 \tabularnewline
0.095 & 504485.580010967 & 8325.43164223945 \tabularnewline
0.1 & 505758.629320912 & 8122.44026290752 \tabularnewline
0.105 & 506975.731650102 & 7927.16632535917 \tabularnewline
0.11 & 508141.16159476 & 7749.7792789225 \tabularnewline
0.115 & 509259.527694682 & 7599.45801419285 \tabularnewline
0.12 & 510335.74214468 & 7482.99053131668 \tabularnewline
0.125 & 511374.914603259 & 7402.6891725164 \tabularnewline
0.13 & 512382.198967973 & 7359.90460351357 \tabularnewline
0.135 & 513362.621869442 & 7351.2338470259 \tabularnewline
0.14 & 514320.917587843 & 7373.18315339699 \tabularnewline
0.145 & 515261.387893063 & 7419.17492301411 \tabularnewline
0.15 & 516187.798428533 & 7483.39241203847 \tabularnewline
0.155 & 517103.31677345 & 7559.12448705496 \tabularnewline
0.16 & 518010.491896911 & 7641.37629011534 \tabularnewline
0.165 & 518911.270677492 & 7724.3893684938 \tabularnewline
0.17 & 519807.044553186 & 7805.42780012417 \tabularnewline
0.175 & 520698.718060907 & 7879.81049684113 \tabularnewline
0.18 & 521586.790793446 & 7947.17089302834 \tabularnewline
0.185 & 522471.444876976 & 8005.84399290079 \tabularnewline
0.19 & 523352.631189251 & 8055.00730844153 \tabularnewline
0.195 & 524230.148961754 & 8095.31041331162 \tabularnewline
0.2 & 525103.714943678 & 8128.81094781895 \tabularnewline
0.205 & 525973.01980278 & 8156.06630161469 \tabularnewline
0.21 & 526837.770791274 & 8178.42040707552 \tabularnewline
0.215 & 527697.720846138 & 8196.2412857981 \tabularnewline
0.22 & 528552.685186006 & 8212.20559543246 \tabularnewline
0.225 & 529402.5471007 & 8226.8498196236 \tabularnewline
0.23 & 530247.255013819 & 8240.79048304321 \tabularnewline
0.235 & 531086.813057769 & 8254.12000874473 \tabularnewline
0.24 & 531921.267368742 & 8268.2507947155 \tabularnewline
0.245 & 532750.690127086 & 8281.7489816534 \tabularnewline
0.25 & 533575.163079556 & 8294.24390620455 \tabularnewline
0.255 & 534394.761926877 & 8306.42520516315 \tabularnewline
0.26 & 535209.542582329 & 8316.93768457263 \tabularnewline
0.265 & 536019.529938592 & 8324.92824882646 \tabularnewline
0.27 & 536824.709447960 & 8330.34412197399 \tabularnewline
0.275 & 537625.021544109 & 8332.87200981493 \tabularnewline
0.28 & 538420.358722996 & 8330.52382386003 \tabularnewline
0.285 & 539210.56495921 & 8325.06924152592 \tabularnewline
0.29 & 539995.437059016 & 8313.9494351815 \tabularnewline
0.295 & 540774.727533445 & 8297.92483457355 \tabularnewline
0.3 & 541548.148602067 & 8276.26328694356 \tabularnewline
0.305 & 542315.37699609 & 8248.5334014697 \tabularnewline
0.31 & 543076.059304005 & 8215.17862707949 \tabularnewline
0.315 & 543829.817680692 & 8175.67558097575 \tabularnewline
0.32 & 544576.255811141 & 8129.93895207668 \tabularnewline
0.325 & 545314.965074529 & 8077.9126980698 \tabularnewline
0.33 & 546045.530889176 & 8018.6996095776 \tabularnewline
0.335 & 546767.539232358 & 7952.39605671026 \tabularnewline
0.34 & 547480.583322971 & 7880.36122370506 \tabularnewline
0.345 & 548184.270433472 & 7801.83347971743 \tabularnewline
0.35 & 548878.228765828 & 7716.82384789498 \tabularnewline
0.355 & 549562.114290542 & 7626.22270345971 \tabularnewline
0.36 & 550235.61741423 & 7530.08091152281 \tabularnewline
0.365 & 550898.469314892 & 7428.98921633495 \tabularnewline
0.37 & 551550.447769015 & 7323.08792308886 \tabularnewline
0.375 & 552191.382293222 & 7214.15238234588 \tabularnewline
0.38 & 552821.158436129 & 7102.40366687116 \tabularnewline
0.385 & 553439.721082395 & 6988.89212284766 \tabularnewline
0.39 & 554047.076668304 & 6874.35594063635 \tabularnewline
0.395 & 554643.294253396 & 6759.51619302308 \tabularnewline
0.4 & 555228.505441699 & 6645.01168021523 \tabularnewline
0.405 & 555802.903194972 & 6532.68539430877 \tabularnewline
0.41 & 556366.73962542 & 6422.83023526127 \tabularnewline
0.415 & 556920.322893371 & 6315.57216498674 \tabularnewline
0.42 & 557464.013364197 & 6211.88825526019 \tabularnewline
0.425 & 557998.219197139 & 6113.19407006141 \tabularnewline
0.43 & 558523.39154638 & 6019.09091311769 \tabularnewline
0.435 & 559040.019552361 & 5930.18180497074 \tabularnewline
0.44 & 559548.625290553 & 5846.90917383292 \tabularnewline
0.445 & 560049.758827436 & 5769.99903663205 \tabularnewline
0.45 & 560543.993511646 & 5699.21399289112 \tabularnewline
0.455 & 561031.921604199 & 5634.96770642303 \tabularnewline
0.46 & 561514.150327333 & 5577.16492173112 \tabularnewline
0.465 & 561991.298388236 & 5526.27958452915 \tabularnewline
0.47 & 562463.993012644 & 5481.94465344816 \tabularnewline
0.475 & 562932.867504264 & 5444.47325534739 \tabularnewline
0.48 & 563398.559328913 & 5413.94922332725 \tabularnewline
0.485 & 563861.708706503 & 5390.42455720841 \tabularnewline
0.49 & 564322.957678363 & 5374.02370515422 \tabularnewline
0.495 & 564782.949601098 & 5364.20024033537 \tabularnewline
0.5 & 565242.328999925 & 5361.60400238738 \tabularnewline
0.505 & 565701.741694032 & 5365.44720836566 \tabularnewline
0.51 & 566161.835083592 & 5376.23373268075 \tabularnewline
0.515 & 566623.25846343 & 5394.59887099390 \tabularnewline
0.52 & 567086.663203177 & 5418.78541628552 \tabularnewline
0.525 & 567552.70261 & 5450.8028320452 \tabularnewline
0.53 & 568022.031270137 & 5488.93248211657 \tabularnewline
0.535 & 568495.303652326 & 5534.57241734107 \tabularnewline
0.54 & 568973.171752721 & 5586.53562857506 \tabularnewline
0.545 & 569456.281569755 & 5646.083380563 \tabularnewline
0.55 & 569945.268221027 & 5712.26654551615 \tabularnewline
0.555 & 570440.749553964 & 5784.80204532382 \tabularnewline
0.56 & 570943.318158456 & 5864.87835635369 \tabularnewline
0.565 & 571453.531761917 & 5951.07210784184 \tabularnewline
0.57 & 571971.902073447 & 6042.9843485501 \tabularnewline
0.575 & 572498.882240427 & 6140.36860989802 \tabularnewline
0.58 & 573034.853183568 & 6241.77224315301 \tabularnewline
0.585 & 573580.109179512 & 6347.27613811864 \tabularnewline
0.59 & 574134.843157396 & 6453.55285737383 \tabularnewline
0.595 & 574699.132260918 & 6561.92601027632 \tabularnewline
0.6 & 575272.924294031 & 6668.85338772117 \tabularnewline
0.605 & 575856.02571096 & 6772.7791471324 \tabularnewline
0.61 & 576448.091825194 & 6871.94673386561 \tabularnewline
0.615 & 577048.619894531 & 6964.0404310424 \tabularnewline
0.62 & 577656.945689059 & 7047.41717357827 \tabularnewline
0.625 & 578272.244066867 & 7119.19707366496 \tabularnewline
0.63 & 578893.533971339 & 7178.46493708237 \tabularnewline
0.635 & 579519.68812884 & 7222.02973218284 \tabularnewline
0.64 & 580149.447572886 & 7249.2365691356 \tabularnewline
0.645 & 580781.440958236 & 7258.16790483526 \tabularnewline
0.65 & 581414.208463936 & 7248.0289267924 \tabularnewline
0.655 & 582046.229926535 & 7217.9504315719 \tabularnewline
0.66 & 582675.956701074 & 7167.41973770682 \tabularnewline
0.665 & 583301.846624213 & 7097.1733161998 \tabularnewline
0.67 & 583922.401355425 & 7007.42602396959 \tabularnewline
0.675 & 584536.205300447 & 6898.71125543745 \tabularnewline
0.68 & 585141.965275606 & 6773.17357097811 \tabularnewline
0.685 & 585738.550048994 & 6632.54405751562 \tabularnewline
0.69 & 586325.028889381 & 6479.24166847895 \tabularnewline
0.695 & 586900.708259086 & 6315.4506360967 \tabularnewline
0.7 & 587465.165794881 & 6144.76698998711 \tabularnewline
0.705 & 588018.280723766 & 5970.54399904096 \tabularnewline
0.71 & 588560.259852001 & 5796.90904677718 \tabularnewline
0.715 & 589091.658242951 & 5627.35264113662 \tabularnewline
0.72 & 589613.393662805 & 5465.2252243055 \tabularnewline
0.725 & 590126.753828985 & 5316.27578484116 \tabularnewline
0.73 & 590633.395455376 & 5183.94742084075 \tabularnewline
0.735 & 591135.334068412 & 5073.03130384411 \tabularnewline
0.74 & 591634.923590141 & 4987.84498653292 \tabularnewline
0.745 & 592134.824773743 & 4931.76514590419 \tabularnewline
0.75 & 592637.961759155 & 4908.72134339376 \tabularnewline
0.755 & 593147.466314857 & 4921.60347902218 \tabularnewline
0.76 & 593666.609763425 & 4972.50193978697 \tabularnewline
0.765 & 594198.72315978 & 5062.02203246476 \tabularnewline
0.77 & 594747.10699434 & 5188.6829760443 \tabularnewline
0.775 & 595314.932502939 & 5351.50639400624 \tabularnewline
0.78 & 595905.137536099 & 5546.5449609998 \tabularnewline
0.785 & 596520.320806779 & 5768.63675934128 \tabularnewline
0.79 & 597162.639115651 & 6011.952728821 \tabularnewline
0.795 & 597833.712751483 & 6269.64617703883 \tabularnewline
0.8 & 598534.544583273 & 6532.98753539214 \tabularnewline
0.805 & 599265.458309666 & 6794.01789278029 \tabularnewline
0.81 & 600026.060839981 & 7044.60349865092 \tabularnewline
0.815 & 600815.232814567 & 7276.02234878496 \tabularnewline
0.82 & 601631.149842254 & 7479.9306643685 \tabularnewline
0.825 & 602471.335208112 & 7649.3875437401 \tabularnewline
0.83 & 603332.742714973 & 7778.57519543096 \tabularnewline
0.835 & 604211.866152718 & 7863.40201861462 \tabularnewline
0.84 & 605104.869868243 & 7900.78370134495 \tabularnewline
0.845 & 606007.733282648 & 7889.98089606122 \tabularnewline
0.85 & 606916.401201808 & 7832.54553581911 \tabularnewline
0.855 & 607826.931568427 & 7730.71962767562 \tabularnewline
0.86 & 608735.632987788 & 7589.21865838913 \tabularnewline
0.865 & 609639.185872995 & 7413.62534557118 \tabularnewline
0.87 & 610534.743191079 & 7210.44577737469 \tabularnewline
0.875 & 611420.009186713 & 6986.46188297591 \tabularnewline
0.88 & 612293.296629322 & 6748.08726792744 \tabularnewline
0.885 & 613153.564527001 & 6501.60047814539 \tabularnewline
0.89 & 614000.438372471 & 6251.95643750627 \tabularnewline
0.895 & 614834.213493491 & 6004.57484265126 \tabularnewline
0.9 & 615655.838934295 & 5762.76001045474 \tabularnewline
0.905 & 616466.874874981 & 5529.94575309807 \tabularnewline
0.91 & 617269.411768256 & 5309.91629053968 \tabularnewline
0.915 & 618065.935471753 & 5106.45484216143 \tabularnewline
0.92 & 618859.121346346 & 4922.48433140339 \tabularnewline
0.925 & 619651.543299998 & 4760.69968280136 \tabularnewline
0.93 & 620445.292450763 & 4621.4569383504 \tabularnewline
0.935 & 621241.514965081 & 4501.79873419176 \tabularnewline
0.94 & 622039.898819182 & 4393.9325216747 \tabularnewline
0.945 & 622838.162089294 & 4285.01155638523 \tabularnewline
0.95 & 623631.616447304 & 4158.02223859514 \tabularnewline
0.955 & 624412.893074798 & 3993.35617692033 \tabularnewline
0.96 & 625171.91842277 & 3772.25137391695 \tabularnewline
0.965 & 625896.21030914 & 3480.07030607029 \tabularnewline
0.97 & 626571.531260249 & 3110.88503368673 \tabularnewline
0.975 & 627182.892369794 & 2670.47143899981 \tabularnewline
0.98 & 627715.859561998 & 2179.57077539339 \tabularnewline
0.985 & 628158.088478395 & 1675.41304004969 \tabularnewline
0.99 & 628501.009260328 & 1210.90278707474 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19347&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]471884.591408477[/C][C]8623.22851430121[/C][/ROW]
[ROW][C]0.015[/C][C]473799.528119567[/C][C]9029.48453096821[/C][/ROW]
[ROW][C]0.02[/C][C]475989.323976233[/C][C]9421.8075840742[/C][/ROW]
[ROW][C]0.025[/C][C]478333.922922528[/C][C]9716.6391713876[/C][/ROW]
[ROW][C]0.03[/C][C]480733.590676833[/C][C]9872.6122658173[/C][/ROW]
[ROW][C]0.035[/C][C]483114.480404525[/C][C]9895.60288458923[/C][/ROW]
[ROW][C]0.04[/C][C]485427.746578236[/C][C]9821.11553831608[/C][/ROW]
[ROW][C]0.045[/C][C]487645.319807286[/C][C]9695.61875778755[/C][/ROW]
[ROW][C]0.05[/C][C]489754.582388963[/C][C]9558.36672999337[/C][/ROW]
[ROW][C]0.055[/C][C]491753.277353346[/C][C]9432.36412687083[/C][/ROW]
[ROW][C]0.06[/C][C]493645.29139568[/C][C]9323.3085334554[/C][/ROW]
[ROW][C]0.065[/C][C]495437.511451075[/C][C]9224.54244757779[/C][/ROW]
[ROW][C]0.07[/C][C]497137.711805811[/C][C]9123.7230019647[/C][/ROW]
[ROW][C]0.075[/C][C]498753.313348259[/C][C]9008.89927212668[/C][/ROW]
[ROW][C]0.08[/C][C]500290.8143419[/C][C]8871.09517903635[/C][/ROW]
[ROW][C]0.085[/C][C]501755.68959557[/C][C]8708.62732237961[/C][/ROW]
[ROW][C]0.09[/C][C]503152.574249991[/C][C]8524.36412569146[/C][/ROW]
[ROW][C]0.095[/C][C]504485.580010967[/C][C]8325.43164223945[/C][/ROW]
[ROW][C]0.1[/C][C]505758.629320912[/C][C]8122.44026290752[/C][/ROW]
[ROW][C]0.105[/C][C]506975.731650102[/C][C]7927.16632535917[/C][/ROW]
[ROW][C]0.11[/C][C]508141.16159476[/C][C]7749.7792789225[/C][/ROW]
[ROW][C]0.115[/C][C]509259.527694682[/C][C]7599.45801419285[/C][/ROW]
[ROW][C]0.12[/C][C]510335.74214468[/C][C]7482.99053131668[/C][/ROW]
[ROW][C]0.125[/C][C]511374.914603259[/C][C]7402.6891725164[/C][/ROW]
[ROW][C]0.13[/C][C]512382.198967973[/C][C]7359.90460351357[/C][/ROW]
[ROW][C]0.135[/C][C]513362.621869442[/C][C]7351.2338470259[/C][/ROW]
[ROW][C]0.14[/C][C]514320.917587843[/C][C]7373.18315339699[/C][/ROW]
[ROW][C]0.145[/C][C]515261.387893063[/C][C]7419.17492301411[/C][/ROW]
[ROW][C]0.15[/C][C]516187.798428533[/C][C]7483.39241203847[/C][/ROW]
[ROW][C]0.155[/C][C]517103.31677345[/C][C]7559.12448705496[/C][/ROW]
[ROW][C]0.16[/C][C]518010.491896911[/C][C]7641.37629011534[/C][/ROW]
[ROW][C]0.165[/C][C]518911.270677492[/C][C]7724.3893684938[/C][/ROW]
[ROW][C]0.17[/C][C]519807.044553186[/C][C]7805.42780012417[/C][/ROW]
[ROW][C]0.175[/C][C]520698.718060907[/C][C]7879.81049684113[/C][/ROW]
[ROW][C]0.18[/C][C]521586.790793446[/C][C]7947.17089302834[/C][/ROW]
[ROW][C]0.185[/C][C]522471.444876976[/C][C]8005.84399290079[/C][/ROW]
[ROW][C]0.19[/C][C]523352.631189251[/C][C]8055.00730844153[/C][/ROW]
[ROW][C]0.195[/C][C]524230.148961754[/C][C]8095.31041331162[/C][/ROW]
[ROW][C]0.2[/C][C]525103.714943678[/C][C]8128.81094781895[/C][/ROW]
[ROW][C]0.205[/C][C]525973.01980278[/C][C]8156.06630161469[/C][/ROW]
[ROW][C]0.21[/C][C]526837.770791274[/C][C]8178.42040707552[/C][/ROW]
[ROW][C]0.215[/C][C]527697.720846138[/C][C]8196.2412857981[/C][/ROW]
[ROW][C]0.22[/C][C]528552.685186006[/C][C]8212.20559543246[/C][/ROW]
[ROW][C]0.225[/C][C]529402.5471007[/C][C]8226.8498196236[/C][/ROW]
[ROW][C]0.23[/C][C]530247.255013819[/C][C]8240.79048304321[/C][/ROW]
[ROW][C]0.235[/C][C]531086.813057769[/C][C]8254.12000874473[/C][/ROW]
[ROW][C]0.24[/C][C]531921.267368742[/C][C]8268.2507947155[/C][/ROW]
[ROW][C]0.245[/C][C]532750.690127086[/C][C]8281.7489816534[/C][/ROW]
[ROW][C]0.25[/C][C]533575.163079556[/C][C]8294.24390620455[/C][/ROW]
[ROW][C]0.255[/C][C]534394.761926877[/C][C]8306.42520516315[/C][/ROW]
[ROW][C]0.26[/C][C]535209.542582329[/C][C]8316.93768457263[/C][/ROW]
[ROW][C]0.265[/C][C]536019.529938592[/C][C]8324.92824882646[/C][/ROW]
[ROW][C]0.27[/C][C]536824.709447960[/C][C]8330.34412197399[/C][/ROW]
[ROW][C]0.275[/C][C]537625.021544109[/C][C]8332.87200981493[/C][/ROW]
[ROW][C]0.28[/C][C]538420.358722996[/C][C]8330.52382386003[/C][/ROW]
[ROW][C]0.285[/C][C]539210.56495921[/C][C]8325.06924152592[/C][/ROW]
[ROW][C]0.29[/C][C]539995.437059016[/C][C]8313.9494351815[/C][/ROW]
[ROW][C]0.295[/C][C]540774.727533445[/C][C]8297.92483457355[/C][/ROW]
[ROW][C]0.3[/C][C]541548.148602067[/C][C]8276.26328694356[/C][/ROW]
[ROW][C]0.305[/C][C]542315.37699609[/C][C]8248.5334014697[/C][/ROW]
[ROW][C]0.31[/C][C]543076.059304005[/C][C]8215.17862707949[/C][/ROW]
[ROW][C]0.315[/C][C]543829.817680692[/C][C]8175.67558097575[/C][/ROW]
[ROW][C]0.32[/C][C]544576.255811141[/C][C]8129.93895207668[/C][/ROW]
[ROW][C]0.325[/C][C]545314.965074529[/C][C]8077.9126980698[/C][/ROW]
[ROW][C]0.33[/C][C]546045.530889176[/C][C]8018.6996095776[/C][/ROW]
[ROW][C]0.335[/C][C]546767.539232358[/C][C]7952.39605671026[/C][/ROW]
[ROW][C]0.34[/C][C]547480.583322971[/C][C]7880.36122370506[/C][/ROW]
[ROW][C]0.345[/C][C]548184.270433472[/C][C]7801.83347971743[/C][/ROW]
[ROW][C]0.35[/C][C]548878.228765828[/C][C]7716.82384789498[/C][/ROW]
[ROW][C]0.355[/C][C]549562.114290542[/C][C]7626.22270345971[/C][/ROW]
[ROW][C]0.36[/C][C]550235.61741423[/C][C]7530.08091152281[/C][/ROW]
[ROW][C]0.365[/C][C]550898.469314892[/C][C]7428.98921633495[/C][/ROW]
[ROW][C]0.37[/C][C]551550.447769015[/C][C]7323.08792308886[/C][/ROW]
[ROW][C]0.375[/C][C]552191.382293222[/C][C]7214.15238234588[/C][/ROW]
[ROW][C]0.38[/C][C]552821.158436129[/C][C]7102.40366687116[/C][/ROW]
[ROW][C]0.385[/C][C]553439.721082395[/C][C]6988.89212284766[/C][/ROW]
[ROW][C]0.39[/C][C]554047.076668304[/C][C]6874.35594063635[/C][/ROW]
[ROW][C]0.395[/C][C]554643.294253396[/C][C]6759.51619302308[/C][/ROW]
[ROW][C]0.4[/C][C]555228.505441699[/C][C]6645.01168021523[/C][/ROW]
[ROW][C]0.405[/C][C]555802.903194972[/C][C]6532.68539430877[/C][/ROW]
[ROW][C]0.41[/C][C]556366.73962542[/C][C]6422.83023526127[/C][/ROW]
[ROW][C]0.415[/C][C]556920.322893371[/C][C]6315.57216498674[/C][/ROW]
[ROW][C]0.42[/C][C]557464.013364197[/C][C]6211.88825526019[/C][/ROW]
[ROW][C]0.425[/C][C]557998.219197139[/C][C]6113.19407006141[/C][/ROW]
[ROW][C]0.43[/C][C]558523.39154638[/C][C]6019.09091311769[/C][/ROW]
[ROW][C]0.435[/C][C]559040.019552361[/C][C]5930.18180497074[/C][/ROW]
[ROW][C]0.44[/C][C]559548.625290553[/C][C]5846.90917383292[/C][/ROW]
[ROW][C]0.445[/C][C]560049.758827436[/C][C]5769.99903663205[/C][/ROW]
[ROW][C]0.45[/C][C]560543.993511646[/C][C]5699.21399289112[/C][/ROW]
[ROW][C]0.455[/C][C]561031.921604199[/C][C]5634.96770642303[/C][/ROW]
[ROW][C]0.46[/C][C]561514.150327333[/C][C]5577.16492173112[/C][/ROW]
[ROW][C]0.465[/C][C]561991.298388236[/C][C]5526.27958452915[/C][/ROW]
[ROW][C]0.47[/C][C]562463.993012644[/C][C]5481.94465344816[/C][/ROW]
[ROW][C]0.475[/C][C]562932.867504264[/C][C]5444.47325534739[/C][/ROW]
[ROW][C]0.48[/C][C]563398.559328913[/C][C]5413.94922332725[/C][/ROW]
[ROW][C]0.485[/C][C]563861.708706503[/C][C]5390.42455720841[/C][/ROW]
[ROW][C]0.49[/C][C]564322.957678363[/C][C]5374.02370515422[/C][/ROW]
[ROW][C]0.495[/C][C]564782.949601098[/C][C]5364.20024033537[/C][/ROW]
[ROW][C]0.5[/C][C]565242.328999925[/C][C]5361.60400238738[/C][/ROW]
[ROW][C]0.505[/C][C]565701.741694032[/C][C]5365.44720836566[/C][/ROW]
[ROW][C]0.51[/C][C]566161.835083592[/C][C]5376.23373268075[/C][/ROW]
[ROW][C]0.515[/C][C]566623.25846343[/C][C]5394.59887099390[/C][/ROW]
[ROW][C]0.52[/C][C]567086.663203177[/C][C]5418.78541628552[/C][/ROW]
[ROW][C]0.525[/C][C]567552.70261[/C][C]5450.8028320452[/C][/ROW]
[ROW][C]0.53[/C][C]568022.031270137[/C][C]5488.93248211657[/C][/ROW]
[ROW][C]0.535[/C][C]568495.303652326[/C][C]5534.57241734107[/C][/ROW]
[ROW][C]0.54[/C][C]568973.171752721[/C][C]5586.53562857506[/C][/ROW]
[ROW][C]0.545[/C][C]569456.281569755[/C][C]5646.083380563[/C][/ROW]
[ROW][C]0.55[/C][C]569945.268221027[/C][C]5712.26654551615[/C][/ROW]
[ROW][C]0.555[/C][C]570440.749553964[/C][C]5784.80204532382[/C][/ROW]
[ROW][C]0.56[/C][C]570943.318158456[/C][C]5864.87835635369[/C][/ROW]
[ROW][C]0.565[/C][C]571453.531761917[/C][C]5951.07210784184[/C][/ROW]
[ROW][C]0.57[/C][C]571971.902073447[/C][C]6042.9843485501[/C][/ROW]
[ROW][C]0.575[/C][C]572498.882240427[/C][C]6140.36860989802[/C][/ROW]
[ROW][C]0.58[/C][C]573034.853183568[/C][C]6241.77224315301[/C][/ROW]
[ROW][C]0.585[/C][C]573580.109179512[/C][C]6347.27613811864[/C][/ROW]
[ROW][C]0.59[/C][C]574134.843157396[/C][C]6453.55285737383[/C][/ROW]
[ROW][C]0.595[/C][C]574699.132260918[/C][C]6561.92601027632[/C][/ROW]
[ROW][C]0.6[/C][C]575272.924294031[/C][C]6668.85338772117[/C][/ROW]
[ROW][C]0.605[/C][C]575856.02571096[/C][C]6772.7791471324[/C][/ROW]
[ROW][C]0.61[/C][C]576448.091825194[/C][C]6871.94673386561[/C][/ROW]
[ROW][C]0.615[/C][C]577048.619894531[/C][C]6964.0404310424[/C][/ROW]
[ROW][C]0.62[/C][C]577656.945689059[/C][C]7047.41717357827[/C][/ROW]
[ROW][C]0.625[/C][C]578272.244066867[/C][C]7119.19707366496[/C][/ROW]
[ROW][C]0.63[/C][C]578893.533971339[/C][C]7178.46493708237[/C][/ROW]
[ROW][C]0.635[/C][C]579519.68812884[/C][C]7222.02973218284[/C][/ROW]
[ROW][C]0.64[/C][C]580149.447572886[/C][C]7249.2365691356[/C][/ROW]
[ROW][C]0.645[/C][C]580781.440958236[/C][C]7258.16790483526[/C][/ROW]
[ROW][C]0.65[/C][C]581414.208463936[/C][C]7248.0289267924[/C][/ROW]
[ROW][C]0.655[/C][C]582046.229926535[/C][C]7217.9504315719[/C][/ROW]
[ROW][C]0.66[/C][C]582675.956701074[/C][C]7167.41973770682[/C][/ROW]
[ROW][C]0.665[/C][C]583301.846624213[/C][C]7097.1733161998[/C][/ROW]
[ROW][C]0.67[/C][C]583922.401355425[/C][C]7007.42602396959[/C][/ROW]
[ROW][C]0.675[/C][C]584536.205300447[/C][C]6898.71125543745[/C][/ROW]
[ROW][C]0.68[/C][C]585141.965275606[/C][C]6773.17357097811[/C][/ROW]
[ROW][C]0.685[/C][C]585738.550048994[/C][C]6632.54405751562[/C][/ROW]
[ROW][C]0.69[/C][C]586325.028889381[/C][C]6479.24166847895[/C][/ROW]
[ROW][C]0.695[/C][C]586900.708259086[/C][C]6315.4506360967[/C][/ROW]
[ROW][C]0.7[/C][C]587465.165794881[/C][C]6144.76698998711[/C][/ROW]
[ROW][C]0.705[/C][C]588018.280723766[/C][C]5970.54399904096[/C][/ROW]
[ROW][C]0.71[/C][C]588560.259852001[/C][C]5796.90904677718[/C][/ROW]
[ROW][C]0.715[/C][C]589091.658242951[/C][C]5627.35264113662[/C][/ROW]
[ROW][C]0.72[/C][C]589613.393662805[/C][C]5465.2252243055[/C][/ROW]
[ROW][C]0.725[/C][C]590126.753828985[/C][C]5316.27578484116[/C][/ROW]
[ROW][C]0.73[/C][C]590633.395455376[/C][C]5183.94742084075[/C][/ROW]
[ROW][C]0.735[/C][C]591135.334068412[/C][C]5073.03130384411[/C][/ROW]
[ROW][C]0.74[/C][C]591634.923590141[/C][C]4987.84498653292[/C][/ROW]
[ROW][C]0.745[/C][C]592134.824773743[/C][C]4931.76514590419[/C][/ROW]
[ROW][C]0.75[/C][C]592637.961759155[/C][C]4908.72134339376[/C][/ROW]
[ROW][C]0.755[/C][C]593147.466314857[/C][C]4921.60347902218[/C][/ROW]
[ROW][C]0.76[/C][C]593666.609763425[/C][C]4972.50193978697[/C][/ROW]
[ROW][C]0.765[/C][C]594198.72315978[/C][C]5062.02203246476[/C][/ROW]
[ROW][C]0.77[/C][C]594747.10699434[/C][C]5188.6829760443[/C][/ROW]
[ROW][C]0.775[/C][C]595314.932502939[/C][C]5351.50639400624[/C][/ROW]
[ROW][C]0.78[/C][C]595905.137536099[/C][C]5546.5449609998[/C][/ROW]
[ROW][C]0.785[/C][C]596520.320806779[/C][C]5768.63675934128[/C][/ROW]
[ROW][C]0.79[/C][C]597162.639115651[/C][C]6011.952728821[/C][/ROW]
[ROW][C]0.795[/C][C]597833.712751483[/C][C]6269.64617703883[/C][/ROW]
[ROW][C]0.8[/C][C]598534.544583273[/C][C]6532.98753539214[/C][/ROW]
[ROW][C]0.805[/C][C]599265.458309666[/C][C]6794.01789278029[/C][/ROW]
[ROW][C]0.81[/C][C]600026.060839981[/C][C]7044.60349865092[/C][/ROW]
[ROW][C]0.815[/C][C]600815.232814567[/C][C]7276.02234878496[/C][/ROW]
[ROW][C]0.82[/C][C]601631.149842254[/C][C]7479.9306643685[/C][/ROW]
[ROW][C]0.825[/C][C]602471.335208112[/C][C]7649.3875437401[/C][/ROW]
[ROW][C]0.83[/C][C]603332.742714973[/C][C]7778.57519543096[/C][/ROW]
[ROW][C]0.835[/C][C]604211.866152718[/C][C]7863.40201861462[/C][/ROW]
[ROW][C]0.84[/C][C]605104.869868243[/C][C]7900.78370134495[/C][/ROW]
[ROW][C]0.845[/C][C]606007.733282648[/C][C]7889.98089606122[/C][/ROW]
[ROW][C]0.85[/C][C]606916.401201808[/C][C]7832.54553581911[/C][/ROW]
[ROW][C]0.855[/C][C]607826.931568427[/C][C]7730.71962767562[/C][/ROW]
[ROW][C]0.86[/C][C]608735.632987788[/C][C]7589.21865838913[/C][/ROW]
[ROW][C]0.865[/C][C]609639.185872995[/C][C]7413.62534557118[/C][/ROW]
[ROW][C]0.87[/C][C]610534.743191079[/C][C]7210.44577737469[/C][/ROW]
[ROW][C]0.875[/C][C]611420.009186713[/C][C]6986.46188297591[/C][/ROW]
[ROW][C]0.88[/C][C]612293.296629322[/C][C]6748.08726792744[/C][/ROW]
[ROW][C]0.885[/C][C]613153.564527001[/C][C]6501.60047814539[/C][/ROW]
[ROW][C]0.89[/C][C]614000.438372471[/C][C]6251.95643750627[/C][/ROW]
[ROW][C]0.895[/C][C]614834.213493491[/C][C]6004.57484265126[/C][/ROW]
[ROW][C]0.9[/C][C]615655.838934295[/C][C]5762.76001045474[/C][/ROW]
[ROW][C]0.905[/C][C]616466.874874981[/C][C]5529.94575309807[/C][/ROW]
[ROW][C]0.91[/C][C]617269.411768256[/C][C]5309.91629053968[/C][/ROW]
[ROW][C]0.915[/C][C]618065.935471753[/C][C]5106.45484216143[/C][/ROW]
[ROW][C]0.92[/C][C]618859.121346346[/C][C]4922.48433140339[/C][/ROW]
[ROW][C]0.925[/C][C]619651.543299998[/C][C]4760.69968280136[/C][/ROW]
[ROW][C]0.93[/C][C]620445.292450763[/C][C]4621.4569383504[/C][/ROW]
[ROW][C]0.935[/C][C]621241.514965081[/C][C]4501.79873419176[/C][/ROW]
[ROW][C]0.94[/C][C]622039.898819182[/C][C]4393.9325216747[/C][/ROW]
[ROW][C]0.945[/C][C]622838.162089294[/C][C]4285.01155638523[/C][/ROW]
[ROW][C]0.95[/C][C]623631.616447304[/C][C]4158.02223859514[/C][/ROW]
[ROW][C]0.955[/C][C]624412.893074798[/C][C]3993.35617692033[/C][/ROW]
[ROW][C]0.96[/C][C]625171.91842277[/C][C]3772.25137391695[/C][/ROW]
[ROW][C]0.965[/C][C]625896.21030914[/C][C]3480.07030607029[/C][/ROW]
[ROW][C]0.97[/C][C]626571.531260249[/C][C]3110.88503368673[/C][/ROW]
[ROW][C]0.975[/C][C]627182.892369794[/C][C]2670.47143899981[/C][/ROW]
[ROW][C]0.98[/C][C]627715.859561998[/C][C]2179.57077539339[/C][/ROW]
[ROW][C]0.985[/C][C]628158.088478395[/C][C]1675.41304004969[/C][/ROW]
[ROW][C]0.99[/C][C]628501.009260328[/C][C]1210.90278707474[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19347&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19347&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
0.01471884.5914084778623.22851430121
0.015473799.5281195679029.48453096821
0.02475989.3239762339421.8075840742
0.025478333.9229225289716.6391713876
0.03480733.5906768339872.6122658173
0.035483114.4804045259895.60288458923
0.04485427.7465782369821.11553831608
0.045487645.3198072869695.61875778755
0.05489754.5823889639558.36672999337
0.055491753.2773533469432.36412687083
0.06493645.291395689323.3085334554
0.065495437.5114510759224.54244757779
0.07497137.7118058119123.7230019647
0.075498753.3133482599008.89927212668
0.08500290.81434198871.09517903635
0.085501755.689595578708.62732237961
0.09503152.5742499918524.36412569146
0.095504485.5800109678325.43164223945
0.1505758.6293209128122.44026290752
0.105506975.7316501027927.16632535917
0.11508141.161594767749.7792789225
0.115509259.5276946827599.45801419285
0.12510335.742144687482.99053131668
0.125511374.9146032597402.6891725164
0.13512382.1989679737359.90460351357
0.135513362.6218694427351.2338470259
0.14514320.9175878437373.18315339699
0.145515261.3878930637419.17492301411
0.15516187.7984285337483.39241203847
0.155517103.316773457559.12448705496
0.16518010.4918969117641.37629011534
0.165518911.2706774927724.3893684938
0.17519807.0445531867805.42780012417
0.175520698.7180609077879.81049684113
0.18521586.7907934467947.17089302834
0.185522471.4448769768005.84399290079
0.19523352.6311892518055.00730844153
0.195524230.1489617548095.31041331162
0.2525103.7149436788128.81094781895
0.205525973.019802788156.06630161469
0.21526837.7707912748178.42040707552
0.215527697.7208461388196.2412857981
0.22528552.6851860068212.20559543246
0.225529402.54710078226.8498196236
0.23530247.2550138198240.79048304321
0.235531086.8130577698254.12000874473
0.24531921.2673687428268.2507947155
0.245532750.6901270868281.7489816534
0.25533575.1630795568294.24390620455
0.255534394.7619268778306.42520516315
0.26535209.5425823298316.93768457263
0.265536019.5299385928324.92824882646
0.27536824.7094479608330.34412197399
0.275537625.0215441098332.87200981493
0.28538420.3587229968330.52382386003
0.285539210.564959218325.06924152592
0.29539995.4370590168313.9494351815
0.295540774.7275334458297.92483457355
0.3541548.1486020678276.26328694356
0.305542315.376996098248.5334014697
0.31543076.0593040058215.17862707949
0.315543829.8176806928175.67558097575
0.32544576.2558111418129.93895207668
0.325545314.9650745298077.9126980698
0.33546045.5308891768018.6996095776
0.335546767.5392323587952.39605671026
0.34547480.5833229717880.36122370506
0.345548184.2704334727801.83347971743
0.35548878.2287658287716.82384789498
0.355549562.1142905427626.22270345971
0.36550235.617414237530.08091152281
0.365550898.4693148927428.98921633495
0.37551550.4477690157323.08792308886
0.375552191.3822932227214.15238234588
0.38552821.1584361297102.40366687116
0.385553439.7210823956988.89212284766
0.39554047.0766683046874.35594063635
0.395554643.2942533966759.51619302308
0.4555228.5054416996645.01168021523
0.405555802.9031949726532.68539430877
0.41556366.739625426422.83023526127
0.415556920.3228933716315.57216498674
0.42557464.0133641976211.88825526019
0.425557998.2191971396113.19407006141
0.43558523.391546386019.09091311769
0.435559040.0195523615930.18180497074
0.44559548.6252905535846.90917383292
0.445560049.7588274365769.99903663205
0.45560543.9935116465699.21399289112
0.455561031.9216041995634.96770642303
0.46561514.1503273335577.16492173112
0.465561991.2983882365526.27958452915
0.47562463.9930126445481.94465344816
0.475562932.8675042645444.47325534739
0.48563398.5593289135413.94922332725
0.485563861.7087065035390.42455720841
0.49564322.9576783635374.02370515422
0.495564782.9496010985364.20024033537
0.5565242.3289999255361.60400238738
0.505565701.7416940325365.44720836566
0.51566161.8350835925376.23373268075
0.515566623.258463435394.59887099390
0.52567086.6632031775418.78541628552
0.525567552.702615450.8028320452
0.53568022.0312701375488.93248211657
0.535568495.3036523265534.57241734107
0.54568973.1717527215586.53562857506
0.545569456.2815697555646.083380563
0.55569945.2682210275712.26654551615
0.555570440.7495539645784.80204532382
0.56570943.3181584565864.87835635369
0.565571453.5317619175951.07210784184
0.57571971.9020734476042.9843485501
0.575572498.8822404276140.36860989802
0.58573034.8531835686241.77224315301
0.585573580.1091795126347.27613811864
0.59574134.8431573966453.55285737383
0.595574699.1322609186561.92601027632
0.6575272.9242940316668.85338772117
0.605575856.025710966772.7791471324
0.61576448.0918251946871.94673386561
0.615577048.6198945316964.0404310424
0.62577656.9456890597047.41717357827
0.625578272.2440668677119.19707366496
0.63578893.5339713397178.46493708237
0.635579519.688128847222.02973218284
0.64580149.4475728867249.2365691356
0.645580781.4409582367258.16790483526
0.65581414.2084639367248.0289267924
0.655582046.2299265357217.9504315719
0.66582675.9567010747167.41973770682
0.665583301.8466242137097.1733161998
0.67583922.4013554257007.42602396959
0.675584536.2053004476898.71125543745
0.68585141.9652756066773.17357097811
0.685585738.5500489946632.54405751562
0.69586325.0288893816479.24166847895
0.695586900.7082590866315.4506360967
0.7587465.1657948816144.76698998711
0.705588018.2807237665970.54399904096
0.71588560.2598520015796.90904677718
0.715589091.6582429515627.35264113662
0.72589613.3936628055465.2252243055
0.725590126.7538289855316.27578484116
0.73590633.3954553765183.94742084075
0.735591135.3340684125073.03130384411
0.74591634.9235901414987.84498653292
0.745592134.8247737434931.76514590419
0.75592637.9617591554908.72134339376
0.755593147.4663148574921.60347902218
0.76593666.6097634254972.50193978697
0.765594198.723159785062.02203246476
0.77594747.106994345188.6829760443
0.775595314.9325029395351.50639400624
0.78595905.1375360995546.5449609998
0.785596520.3208067795768.63675934128
0.79597162.6391156516011.952728821
0.795597833.7127514836269.64617703883
0.8598534.5445832736532.98753539214
0.805599265.4583096666794.01789278029
0.81600026.0608399817044.60349865092
0.815600815.2328145677276.02234878496
0.82601631.1498422547479.9306643685
0.825602471.3352081127649.3875437401
0.83603332.7427149737778.57519543096
0.835604211.8661527187863.40201861462
0.84605104.8698682437900.78370134495
0.845606007.7332826487889.98089606122
0.85606916.4012018087832.54553581911
0.855607826.9315684277730.71962767562
0.86608735.6329877887589.21865838913
0.865609639.1858729957413.62534557118
0.87610534.7431910797210.44577737469
0.875611420.0091867136986.46188297591
0.88612293.2966293226748.08726792744
0.885613153.5645270016501.60047814539
0.89614000.4383724716251.95643750627
0.895614834.2134934916004.57484265126
0.9615655.8389342955762.76001045474
0.905616466.8748749815529.94575309807
0.91617269.4117682565309.91629053968
0.915618065.9354717535106.45484216143
0.92618859.1213463464922.48433140339
0.925619651.5432999984760.69968280136
0.93620445.2924507634621.4569383504
0.935621241.5149650814501.79873419176
0.94622039.8988191824393.9325216747
0.945622838.1620892944285.01155638523
0.95623631.6164473044158.02223859514
0.955624412.8930747983993.35617692033
0.96625171.918422773772.25137391695
0.965625896.210309143480.07030607029
0.97626571.5312602493110.88503368673
0.975627182.8923697942670.47143899981
0.98627715.8595619982179.57077539339
0.985628158.0884783951675.41304004969
0.99628501.0092603281210.90278707474


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')