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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 05 Oct 2016 19:08:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t1475690943anwdh9acbdd5inw.htm/, Retrieved Sun, 05 May 2024 14:46:38 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 14:46:38 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
467
475
470
442
433
427
410
406
429
425
431
408
454
459
441
420
416
400
401
398
442
458
476
447
511
514
513
511
498
490
495
486
530
539
555
548
615
634
645
634
630
635
642
637
675
679
676
660
716
730
717
694
670
641
626
604
630
634
635
619
674
664
653
635
614
595
580
570
608
617
591
565

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01398.7334331268022.03603017287187
0.02400.0137431982742.61755922978803
0.03401.6575852657713.58809582016995
0.04403.5689290248894.5731036223769
0.05405.6967538349725.44656930497579
0.06407.996374330646.23759076979794
0.07410.4251448398576.96159851678084
0.08412.942659681827.57107089435113
0.09415.5071863361778.00590294029404
0.1418.0752715494448.2460561959821
0.11420.6075943774198.32999147812898
0.12423.0772202828498.33490814284798
0.13425.4749646177078.3487656147323
0.14427.8093821706638.44040755430156
0.15430.1022231869198.64520725355225
0.16432.3819006770388.9675649393448
0.17434.6774415501519.39021157269909
0.18437.0143475876719.8897696985523
0.19439.41263150480610.4444509680807
0.2441.88652815546911.036396876165
0.21444.44513241576311.6504891698268
0.22447.09334734590712.2737563745971
0.23449.83281150985112.8945524366237
0.24452.66272261231213.5021813462393
0.25455.58059509157414.0906360612757
0.26458.58298901033514.6586174130612
0.27461.66618962532315.2066679699614
0.28464.82676989488115.7393139912698
0.29468.06197068848816.2627520829807
0.3471.36988481778616.7796605283687
0.31474.74950195055917.2941576511419
0.32478.20072460274817.8078870097065
0.33481.72447354682518.32375407467
0.34485.32295704755418.8480680740547
0.35489.0000957972219.3903455491311
0.36492.76200176414119.9648946419087
0.37496.61733609806920.5902494713008
0.38500.57734477341821.2837280709469
0.39504.65540350588222.0609158099552
0.4508.86599127724322.9261474514721
0.41513.22313400076623.8726242956884
0.42517.73848521233724.879989648568
0.43522.41930600563825.9131617898144
0.44527.26664628098826.9260905950663
0.45532.27400356729827.8701990166786
0.46537.42665226101828.6942363438761
0.47542.701718618629.353075263928
0.48548.06895654490229.8092905016345
0.49553.49208529350730.0347782961588
0.5558.93050085692730.0131164995671
0.51564.34117071694129.7396375707431
0.52569.68055471103329.2170451746625
0.53574.90644214738228.4587277598594
0.54579.97963557926227.4863156149869
0.55584.86543079570626.3275742423968
0.56589.53483851304725.016015344286
0.57593.96547577451623.5934732620585
0.58598.14204148061222.0991036994516
0.59602.05629850588120.5763308205154
0.6605.70652544827519.0636770964301
0.61609.09647343106317.5921063521467
0.62612.2339540294916.1842519502239
0.63615.12927037693514.8512691720567
0.64617.79375906469913.5949890810277
0.65620.23871501112512.4099539283316
0.66622.47491649617511.2859382466829
0.67624.51286004244410.2178132936048
0.68626.363676278889.20265554122622
0.69628.0405589083228.25074116943322
0.7629.5604307285137.3796653386662
0.71630.945516705936.61799927169461
0.72632.2245033348336.00328003939218
0.73633.433028204055.57504748124178
0.74634.613342202815.37242837804074
0.75635.8130908989115.42249424525427
0.76637.0832465537845.73087784723974
0.77638.4752765282336.27944288755933
0.78640.0376652930867.03107001647549
0.79641.8119418504457.93394544843883
0.8643.8284366193568.92011439202683
0.81646.1021292205729.91079552345007
0.82648.6291563265410.8164594282692
0.83651.3848026851711.5460301576778
0.84654.32404904559812.0152308849398
0.85657.38593003892112.1632593874646
0.86660.50296694544811.9692707590092
0.87663.61661383182511.467633475874
0.88666.6986669111510.7679578926598
0.89669.77641769296210.0698539350388
0.9672.955436125529.67316692333485
0.91676.4283528073579.93481207855445
0.92680.45307366227111.0955449630709
0.93685.28571166310513.0356200070244
0.94691.07226707349815.169205549089
0.95697.74429758411816.552531308298
0.96705.00435339849216.2635361090843
0.97712.44801252138714.1458240076967
0.98719.66731409909511.6749003307435
0.99725.98763801493511.381136585145

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 398.733433126802 & 2.03603017287187 \tabularnewline
0.02 & 400.013743198274 & 2.61755922978803 \tabularnewline
0.03 & 401.657585265771 & 3.58809582016995 \tabularnewline
0.04 & 403.568929024889 & 4.5731036223769 \tabularnewline
0.05 & 405.696753834972 & 5.44656930497579 \tabularnewline
0.06 & 407.99637433064 & 6.23759076979794 \tabularnewline
0.07 & 410.425144839857 & 6.96159851678084 \tabularnewline
0.08 & 412.94265968182 & 7.57107089435113 \tabularnewline
0.09 & 415.507186336177 & 8.00590294029404 \tabularnewline
0.1 & 418.075271549444 & 8.2460561959821 \tabularnewline
0.11 & 420.607594377419 & 8.32999147812898 \tabularnewline
0.12 & 423.077220282849 & 8.33490814284798 \tabularnewline
0.13 & 425.474964617707 & 8.3487656147323 \tabularnewline
0.14 & 427.809382170663 & 8.44040755430156 \tabularnewline
0.15 & 430.102223186919 & 8.64520725355225 \tabularnewline
0.16 & 432.381900677038 & 8.9675649393448 \tabularnewline
0.17 & 434.677441550151 & 9.39021157269909 \tabularnewline
0.18 & 437.014347587671 & 9.8897696985523 \tabularnewline
0.19 & 439.412631504806 & 10.4444509680807 \tabularnewline
0.2 & 441.886528155469 & 11.036396876165 \tabularnewline
0.21 & 444.445132415763 & 11.6504891698268 \tabularnewline
0.22 & 447.093347345907 & 12.2737563745971 \tabularnewline
0.23 & 449.832811509851 & 12.8945524366237 \tabularnewline
0.24 & 452.662722612312 & 13.5021813462393 \tabularnewline
0.25 & 455.580595091574 & 14.0906360612757 \tabularnewline
0.26 & 458.582989010335 & 14.6586174130612 \tabularnewline
0.27 & 461.666189625323 & 15.2066679699614 \tabularnewline
0.28 & 464.826769894881 & 15.7393139912698 \tabularnewline
0.29 & 468.061970688488 & 16.2627520829807 \tabularnewline
0.3 & 471.369884817786 & 16.7796605283687 \tabularnewline
0.31 & 474.749501950559 & 17.2941576511419 \tabularnewline
0.32 & 478.200724602748 & 17.8078870097065 \tabularnewline
0.33 & 481.724473546825 & 18.32375407467 \tabularnewline
0.34 & 485.322957047554 & 18.8480680740547 \tabularnewline
0.35 & 489.00009579722 & 19.3903455491311 \tabularnewline
0.36 & 492.762001764141 & 19.9648946419087 \tabularnewline
0.37 & 496.617336098069 & 20.5902494713008 \tabularnewline
0.38 & 500.577344773418 & 21.2837280709469 \tabularnewline
0.39 & 504.655403505882 & 22.0609158099552 \tabularnewline
0.4 & 508.865991277243 & 22.9261474514721 \tabularnewline
0.41 & 513.223134000766 & 23.8726242956884 \tabularnewline
0.42 & 517.738485212337 & 24.879989648568 \tabularnewline
0.43 & 522.419306005638 & 25.9131617898144 \tabularnewline
0.44 & 527.266646280988 & 26.9260905950663 \tabularnewline
0.45 & 532.274003567298 & 27.8701990166786 \tabularnewline
0.46 & 537.426652261018 & 28.6942363438761 \tabularnewline
0.47 & 542.7017186186 & 29.353075263928 \tabularnewline
0.48 & 548.068956544902 & 29.8092905016345 \tabularnewline
0.49 & 553.492085293507 & 30.0347782961588 \tabularnewline
0.5 & 558.930500856927 & 30.0131164995671 \tabularnewline
0.51 & 564.341170716941 & 29.7396375707431 \tabularnewline
0.52 & 569.680554711033 & 29.2170451746625 \tabularnewline
0.53 & 574.906442147382 & 28.4587277598594 \tabularnewline
0.54 & 579.979635579262 & 27.4863156149869 \tabularnewline
0.55 & 584.865430795706 & 26.3275742423968 \tabularnewline
0.56 & 589.534838513047 & 25.016015344286 \tabularnewline
0.57 & 593.965475774516 & 23.5934732620585 \tabularnewline
0.58 & 598.142041480612 & 22.0991036994516 \tabularnewline
0.59 & 602.056298505881 & 20.5763308205154 \tabularnewline
0.6 & 605.706525448275 & 19.0636770964301 \tabularnewline
0.61 & 609.096473431063 & 17.5921063521467 \tabularnewline
0.62 & 612.23395402949 & 16.1842519502239 \tabularnewline
0.63 & 615.129270376935 & 14.8512691720567 \tabularnewline
0.64 & 617.793759064699 & 13.5949890810277 \tabularnewline
0.65 & 620.238715011125 & 12.4099539283316 \tabularnewline
0.66 & 622.474916496175 & 11.2859382466829 \tabularnewline
0.67 & 624.512860042444 & 10.2178132936048 \tabularnewline
0.68 & 626.36367627888 & 9.20265554122622 \tabularnewline
0.69 & 628.040558908322 & 8.25074116943322 \tabularnewline
0.7 & 629.560430728513 & 7.3796653386662 \tabularnewline
0.71 & 630.94551670593 & 6.61799927169461 \tabularnewline
0.72 & 632.224503334833 & 6.00328003939218 \tabularnewline
0.73 & 633.43302820405 & 5.57504748124178 \tabularnewline
0.74 & 634.61334220281 & 5.37242837804074 \tabularnewline
0.75 & 635.813090898911 & 5.42249424525427 \tabularnewline
0.76 & 637.083246553784 & 5.73087784723974 \tabularnewline
0.77 & 638.475276528233 & 6.27944288755933 \tabularnewline
0.78 & 640.037665293086 & 7.03107001647549 \tabularnewline
0.79 & 641.811941850445 & 7.93394544843883 \tabularnewline
0.8 & 643.828436619356 & 8.92011439202683 \tabularnewline
0.81 & 646.102129220572 & 9.91079552345007 \tabularnewline
0.82 & 648.62915632654 & 10.8164594282692 \tabularnewline
0.83 & 651.38480268517 & 11.5460301576778 \tabularnewline
0.84 & 654.324049045598 & 12.0152308849398 \tabularnewline
0.85 & 657.385930038921 & 12.1632593874646 \tabularnewline
0.86 & 660.502966945448 & 11.9692707590092 \tabularnewline
0.87 & 663.616613831825 & 11.467633475874 \tabularnewline
0.88 & 666.69866691115 & 10.7679578926598 \tabularnewline
0.89 & 669.776417692962 & 10.0698539350388 \tabularnewline
0.9 & 672.95543612552 & 9.67316692333485 \tabularnewline
0.91 & 676.428352807357 & 9.93481207855445 \tabularnewline
0.92 & 680.453073662271 & 11.0955449630709 \tabularnewline
0.93 & 685.285711663105 & 13.0356200070244 \tabularnewline
0.94 & 691.072267073498 & 15.169205549089 \tabularnewline
0.95 & 697.744297584118 & 16.552531308298 \tabularnewline
0.96 & 705.004353398492 & 16.2635361090843 \tabularnewline
0.97 & 712.448012521387 & 14.1458240076967 \tabularnewline
0.98 & 719.667314099095 & 11.6749003307435 \tabularnewline
0.99 & 725.987638014935 & 11.381136585145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]398.733433126802[/C][C]2.03603017287187[/C][/ROW]
[ROW][C]0.02[/C][C]400.013743198274[/C][C]2.61755922978803[/C][/ROW]
[ROW][C]0.03[/C][C]401.657585265771[/C][C]3.58809582016995[/C][/ROW]
[ROW][C]0.04[/C][C]403.568929024889[/C][C]4.5731036223769[/C][/ROW]
[ROW][C]0.05[/C][C]405.696753834972[/C][C]5.44656930497579[/C][/ROW]
[ROW][C]0.06[/C][C]407.99637433064[/C][C]6.23759076979794[/C][/ROW]
[ROW][C]0.07[/C][C]410.425144839857[/C][C]6.96159851678084[/C][/ROW]
[ROW][C]0.08[/C][C]412.94265968182[/C][C]7.57107089435113[/C][/ROW]
[ROW][C]0.09[/C][C]415.507186336177[/C][C]8.00590294029404[/C][/ROW]
[ROW][C]0.1[/C][C]418.075271549444[/C][C]8.2460561959821[/C][/ROW]
[ROW][C]0.11[/C][C]420.607594377419[/C][C]8.32999147812898[/C][/ROW]
[ROW][C]0.12[/C][C]423.077220282849[/C][C]8.33490814284798[/C][/ROW]
[ROW][C]0.13[/C][C]425.474964617707[/C][C]8.3487656147323[/C][/ROW]
[ROW][C]0.14[/C][C]427.809382170663[/C][C]8.44040755430156[/C][/ROW]
[ROW][C]0.15[/C][C]430.102223186919[/C][C]8.64520725355225[/C][/ROW]
[ROW][C]0.16[/C][C]432.381900677038[/C][C]8.9675649393448[/C][/ROW]
[ROW][C]0.17[/C][C]434.677441550151[/C][C]9.39021157269909[/C][/ROW]
[ROW][C]0.18[/C][C]437.014347587671[/C][C]9.8897696985523[/C][/ROW]
[ROW][C]0.19[/C][C]439.412631504806[/C][C]10.4444509680807[/C][/ROW]
[ROW][C]0.2[/C][C]441.886528155469[/C][C]11.036396876165[/C][/ROW]
[ROW][C]0.21[/C][C]444.445132415763[/C][C]11.6504891698268[/C][/ROW]
[ROW][C]0.22[/C][C]447.093347345907[/C][C]12.2737563745971[/C][/ROW]
[ROW][C]0.23[/C][C]449.832811509851[/C][C]12.8945524366237[/C][/ROW]
[ROW][C]0.24[/C][C]452.662722612312[/C][C]13.5021813462393[/C][/ROW]
[ROW][C]0.25[/C][C]455.580595091574[/C][C]14.0906360612757[/C][/ROW]
[ROW][C]0.26[/C][C]458.582989010335[/C][C]14.6586174130612[/C][/ROW]
[ROW][C]0.27[/C][C]461.666189625323[/C][C]15.2066679699614[/C][/ROW]
[ROW][C]0.28[/C][C]464.826769894881[/C][C]15.7393139912698[/C][/ROW]
[ROW][C]0.29[/C][C]468.061970688488[/C][C]16.2627520829807[/C][/ROW]
[ROW][C]0.3[/C][C]471.369884817786[/C][C]16.7796605283687[/C][/ROW]
[ROW][C]0.31[/C][C]474.749501950559[/C][C]17.2941576511419[/C][/ROW]
[ROW][C]0.32[/C][C]478.200724602748[/C][C]17.8078870097065[/C][/ROW]
[ROW][C]0.33[/C][C]481.724473546825[/C][C]18.32375407467[/C][/ROW]
[ROW][C]0.34[/C][C]485.322957047554[/C][C]18.8480680740547[/C][/ROW]
[ROW][C]0.35[/C][C]489.00009579722[/C][C]19.3903455491311[/C][/ROW]
[ROW][C]0.36[/C][C]492.762001764141[/C][C]19.9648946419087[/C][/ROW]
[ROW][C]0.37[/C][C]496.617336098069[/C][C]20.5902494713008[/C][/ROW]
[ROW][C]0.38[/C][C]500.577344773418[/C][C]21.2837280709469[/C][/ROW]
[ROW][C]0.39[/C][C]504.655403505882[/C][C]22.0609158099552[/C][/ROW]
[ROW][C]0.4[/C][C]508.865991277243[/C][C]22.9261474514721[/C][/ROW]
[ROW][C]0.41[/C][C]513.223134000766[/C][C]23.8726242956884[/C][/ROW]
[ROW][C]0.42[/C][C]517.738485212337[/C][C]24.879989648568[/C][/ROW]
[ROW][C]0.43[/C][C]522.419306005638[/C][C]25.9131617898144[/C][/ROW]
[ROW][C]0.44[/C][C]527.266646280988[/C][C]26.9260905950663[/C][/ROW]
[ROW][C]0.45[/C][C]532.274003567298[/C][C]27.8701990166786[/C][/ROW]
[ROW][C]0.46[/C][C]537.426652261018[/C][C]28.6942363438761[/C][/ROW]
[ROW][C]0.47[/C][C]542.7017186186[/C][C]29.353075263928[/C][/ROW]
[ROW][C]0.48[/C][C]548.068956544902[/C][C]29.8092905016345[/C][/ROW]
[ROW][C]0.49[/C][C]553.492085293507[/C][C]30.0347782961588[/C][/ROW]
[ROW][C]0.5[/C][C]558.930500856927[/C][C]30.0131164995671[/C][/ROW]
[ROW][C]0.51[/C][C]564.341170716941[/C][C]29.7396375707431[/C][/ROW]
[ROW][C]0.52[/C][C]569.680554711033[/C][C]29.2170451746625[/C][/ROW]
[ROW][C]0.53[/C][C]574.906442147382[/C][C]28.4587277598594[/C][/ROW]
[ROW][C]0.54[/C][C]579.979635579262[/C][C]27.4863156149869[/C][/ROW]
[ROW][C]0.55[/C][C]584.865430795706[/C][C]26.3275742423968[/C][/ROW]
[ROW][C]0.56[/C][C]589.534838513047[/C][C]25.016015344286[/C][/ROW]
[ROW][C]0.57[/C][C]593.965475774516[/C][C]23.5934732620585[/C][/ROW]
[ROW][C]0.58[/C][C]598.142041480612[/C][C]22.0991036994516[/C][/ROW]
[ROW][C]0.59[/C][C]602.056298505881[/C][C]20.5763308205154[/C][/ROW]
[ROW][C]0.6[/C][C]605.706525448275[/C][C]19.0636770964301[/C][/ROW]
[ROW][C]0.61[/C][C]609.096473431063[/C][C]17.5921063521467[/C][/ROW]
[ROW][C]0.62[/C][C]612.23395402949[/C][C]16.1842519502239[/C][/ROW]
[ROW][C]0.63[/C][C]615.129270376935[/C][C]14.8512691720567[/C][/ROW]
[ROW][C]0.64[/C][C]617.793759064699[/C][C]13.5949890810277[/C][/ROW]
[ROW][C]0.65[/C][C]620.238715011125[/C][C]12.4099539283316[/C][/ROW]
[ROW][C]0.66[/C][C]622.474916496175[/C][C]11.2859382466829[/C][/ROW]
[ROW][C]0.67[/C][C]624.512860042444[/C][C]10.2178132936048[/C][/ROW]
[ROW][C]0.68[/C][C]626.36367627888[/C][C]9.20265554122622[/C][/ROW]
[ROW][C]0.69[/C][C]628.040558908322[/C][C]8.25074116943322[/C][/ROW]
[ROW][C]0.7[/C][C]629.560430728513[/C][C]7.3796653386662[/C][/ROW]
[ROW][C]0.71[/C][C]630.94551670593[/C][C]6.61799927169461[/C][/ROW]
[ROW][C]0.72[/C][C]632.224503334833[/C][C]6.00328003939218[/C][/ROW]
[ROW][C]0.73[/C][C]633.43302820405[/C][C]5.57504748124178[/C][/ROW]
[ROW][C]0.74[/C][C]634.61334220281[/C][C]5.37242837804074[/C][/ROW]
[ROW][C]0.75[/C][C]635.813090898911[/C][C]5.42249424525427[/C][/ROW]
[ROW][C]0.76[/C][C]637.083246553784[/C][C]5.73087784723974[/C][/ROW]
[ROW][C]0.77[/C][C]638.475276528233[/C][C]6.27944288755933[/C][/ROW]
[ROW][C]0.78[/C][C]640.037665293086[/C][C]7.03107001647549[/C][/ROW]
[ROW][C]0.79[/C][C]641.811941850445[/C][C]7.93394544843883[/C][/ROW]
[ROW][C]0.8[/C][C]643.828436619356[/C][C]8.92011439202683[/C][/ROW]
[ROW][C]0.81[/C][C]646.102129220572[/C][C]9.91079552345007[/C][/ROW]
[ROW][C]0.82[/C][C]648.62915632654[/C][C]10.8164594282692[/C][/ROW]
[ROW][C]0.83[/C][C]651.38480268517[/C][C]11.5460301576778[/C][/ROW]
[ROW][C]0.84[/C][C]654.324049045598[/C][C]12.0152308849398[/C][/ROW]
[ROW][C]0.85[/C][C]657.385930038921[/C][C]12.1632593874646[/C][/ROW]
[ROW][C]0.86[/C][C]660.502966945448[/C][C]11.9692707590092[/C][/ROW]
[ROW][C]0.87[/C][C]663.616613831825[/C][C]11.467633475874[/C][/ROW]
[ROW][C]0.88[/C][C]666.69866691115[/C][C]10.7679578926598[/C][/ROW]
[ROW][C]0.89[/C][C]669.776417692962[/C][C]10.0698539350388[/C][/ROW]
[ROW][C]0.9[/C][C]672.95543612552[/C][C]9.67316692333485[/C][/ROW]
[ROW][C]0.91[/C][C]676.428352807357[/C][C]9.93481207855445[/C][/ROW]
[ROW][C]0.92[/C][C]680.453073662271[/C][C]11.0955449630709[/C][/ROW]
[ROW][C]0.93[/C][C]685.285711663105[/C][C]13.0356200070244[/C][/ROW]
[ROW][C]0.94[/C][C]691.072267073498[/C][C]15.169205549089[/C][/ROW]
[ROW][C]0.95[/C][C]697.744297584118[/C][C]16.552531308298[/C][/ROW]
[ROW][C]0.96[/C][C]705.004353398492[/C][C]16.2635361090843[/C][/ROW]
[ROW][C]0.97[/C][C]712.448012521387[/C][C]14.1458240076967[/C][/ROW]
[ROW][C]0.98[/C][C]719.667314099095[/C][C]11.6749003307435[/C][/ROW]
[ROW][C]0.99[/C][C]725.987638014935[/C][C]11.381136585145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01398.7334331268022.03603017287187
0.02400.0137431982742.61755922978803
0.03401.6575852657713.58809582016995
0.04403.5689290248894.5731036223769
0.05405.6967538349725.44656930497579
0.06407.996374330646.23759076979794
0.07410.4251448398576.96159851678084
0.08412.942659681827.57107089435113
0.09415.5071863361778.00590294029404
0.1418.0752715494448.2460561959821
0.11420.6075943774198.32999147812898
0.12423.0772202828498.33490814284798
0.13425.4749646177078.3487656147323
0.14427.8093821706638.44040755430156
0.15430.1022231869198.64520725355225
0.16432.3819006770388.9675649393448
0.17434.6774415501519.39021157269909
0.18437.0143475876719.8897696985523
0.19439.41263150480610.4444509680807
0.2441.88652815546911.036396876165
0.21444.44513241576311.6504891698268
0.22447.09334734590712.2737563745971
0.23449.83281150985112.8945524366237
0.24452.66272261231213.5021813462393
0.25455.58059509157414.0906360612757
0.26458.58298901033514.6586174130612
0.27461.66618962532315.2066679699614
0.28464.82676989488115.7393139912698
0.29468.06197068848816.2627520829807
0.3471.36988481778616.7796605283687
0.31474.74950195055917.2941576511419
0.32478.20072460274817.8078870097065
0.33481.72447354682518.32375407467
0.34485.32295704755418.8480680740547
0.35489.0000957972219.3903455491311
0.36492.76200176414119.9648946419087
0.37496.61733609806920.5902494713008
0.38500.57734477341821.2837280709469
0.39504.65540350588222.0609158099552
0.4508.86599127724322.9261474514721
0.41513.22313400076623.8726242956884
0.42517.73848521233724.879989648568
0.43522.41930600563825.9131617898144
0.44527.26664628098826.9260905950663
0.45532.27400356729827.8701990166786
0.46537.42665226101828.6942363438761
0.47542.701718618629.353075263928
0.48548.06895654490229.8092905016345
0.49553.49208529350730.0347782961588
0.5558.93050085692730.0131164995671
0.51564.34117071694129.7396375707431
0.52569.68055471103329.2170451746625
0.53574.90644214738228.4587277598594
0.54579.97963557926227.4863156149869
0.55584.86543079570626.3275742423968
0.56589.53483851304725.016015344286
0.57593.96547577451623.5934732620585
0.58598.14204148061222.0991036994516
0.59602.05629850588120.5763308205154
0.6605.70652544827519.0636770964301
0.61609.09647343106317.5921063521467
0.62612.2339540294916.1842519502239
0.63615.12927037693514.8512691720567
0.64617.79375906469913.5949890810277
0.65620.23871501112512.4099539283316
0.66622.47491649617511.2859382466829
0.67624.51286004244410.2178132936048
0.68626.363676278889.20265554122622
0.69628.0405589083228.25074116943322
0.7629.5604307285137.3796653386662
0.71630.945516705936.61799927169461
0.72632.2245033348336.00328003939218
0.73633.433028204055.57504748124178
0.74634.613342202815.37242837804074
0.75635.8130908989115.42249424525427
0.76637.0832465537845.73087784723974
0.77638.4752765282336.27944288755933
0.78640.0376652930867.03107001647549
0.79641.8119418504457.93394544843883
0.8643.8284366193568.92011439202683
0.81646.1021292205729.91079552345007
0.82648.6291563265410.8164594282692
0.83651.3848026851711.5460301576778
0.84654.32404904559812.0152308849398
0.85657.38593003892112.1632593874646
0.86660.50296694544811.9692707590092
0.87663.61661383182511.467633475874
0.88666.6986669111510.7679578926598
0.89669.77641769296210.0698539350388
0.9672.955436125529.67316692333485
0.91676.4283528073579.93481207855445
0.92680.45307366227111.0955449630709
0.93685.28571166310513.0356200070244
0.94691.07226707349815.169205549089
0.95697.74429758411816.552531308298
0.96705.00435339849216.2635361090843
0.97712.44801252138714.1458240076967
0.98719.66731409909511.6749003307435
0.99725.98763801493511.381136585145


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
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')