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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 13 Dec 2007 07:45:26 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/13/t11975562264z76ip2je8zp3ka.htm/, Retrieved Sun, 05 May 2024 18:51:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3580, Retrieved Sun, 05 May 2024 18:51:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [PAPER, TIM, GIEL,...] [2007-12-13 14:45:26] [5ac545ffb613273067e3916533dda4e8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
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

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3580&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3580&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3580&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01455.9063849475172.50113766951018
0.02457.8361969365524.66500604533476
0.03460.5453168594996.18299841526155
0.04463.6277449912916.7957794493537
0.05466.7661150769517.0030669078616
0.06469.848361562257.50020286907201
0.07472.9379259825198.62840838849912
0.08476.16490646023110.1998915835462
0.09479.6199451271411.7721917984559
0.1483.29873537228612.9332966145362
0.11487.10323503623713.4289254564529
0.12490.87985169595413.1999986519479
0.13494.46835456324612.3541419617543
0.14497.74142253841711.1009257219513
0.15500.6254763135759.67700164637277
0.16503.1029635809858.28997097081101
0.17505.2018415384497.08534782684524
0.18506.9794480567186.14553775692897
0.19508.5065839652695.49451586563756
0.2509.8551435295425.11943877783453
0.21511.0903307544874.97971206779866
0.22512.2669981522485.0294293826022
0.23513.4289772476765.22193988693763
0.24514.6101813536835.52631854932663
0.25515.8364598234415.91636689016525
0.26517.1274697772696.37875507628554
0.27518.4981132960386.90060651278851
0.28519.9593377612337.46949050902282
0.29521.5183077555988.06846561499438
0.3523.1781192113978.67513291933488
0.31524.9373255927769.26244021220257
0.32526.789570544269.80083179131308
0.33528.72357281282910.2624242331322
0.34530.72360443650710.6223199663484
0.35532.77047187569810.8643925801965
0.36534.84288625609510.9818111480377
0.37536.9190227537510.9760993885095
0.38538.9780376175610.8582689107815
0.39541.00133576241510.6453502377937
0.4542.97344907735110.3566037913064
0.41544.88247317554110.0130896041528
0.42546.7200941135159.63482763057356
0.43548.481297715149.23536756945958
0.44550.1638832529558.83031246245417
0.45551.7679013700138.42700951427071
0.46553.295111956678.03490747456285
0.47554.7485231602897.6571229235569
0.48556.132038625497.2993323044244
0.49557.4502133898056.96243947694221
0.5558.7081020672156.65045105147674
0.51559.9111751659796.36663874166031
0.52561.06527823656.11073043264756
0.53562.1766116837155.8866948676271
0.54563.2517147952995.69677129625563
0.55564.2974445058585.5413328182131
0.56565.3209461163095.42450686373905
0.57566.3296176226435.3457210488908
0.58567.3310694074775.30548242613593
0.59568.3330756370255.30587509174068
0.6569.3435035657155.34470175436944
0.61570.3701953177575.42298443951648
0.62571.4207687792895.53803520615627
0.63572.5023056116885.68723119057024
0.64573.6209090307195.8648339294594
0.65574.7811422616266.06162196999987
0.66575.9853963485736.26396720615111
0.67577.2332751503526.45589353027285
0.68578.5211157432376.61874347718774
0.69579.8417747900416.73335901703312
0.7581.1848002458556.78209904023505
0.71582.5370733167746.75168992470656
0.72583.8839537975716.63685693022578
0.73585.2109018056026.44023218637951
0.74586.5054879523076.17445228827248
0.75587.7596431382815.86273772433522
0.76588.971931053715.5398983139206
0.77590.149540172415.24915442472902
0.78591.3095862794095.04133678700111
0.79592.4792181948224.97048359412656
0.8593.6939962192245.08158377263773
0.81594.9941649725935.39285373726736
0.82596.4188573815215.88285807571911
0.83597.9989425602356.48870905367917
0.84599.7499992357837.11315130434391
0.85601.6674129718317.64828221458496
0.86603.7254558197517.99489592215767
0.87605.881201703738.09029180087598
0.88608.082515653837.92268284590387
0.89610.277901926587.5317188420491
0.9612.4256007822496.98947497661642
0.91614.5002265319716.37467455488018
0.92616.4964253564275.75445809890236
0.93618.4287301199255.18734497699821
0.94620.3245094105464.72482897672687
0.95622.2056535893984.36957903395938
0.96624.059790856974.00427601980228
0.97625.813951229413.42006498792815
0.98627.3309903277262.51329540820735
0.99628.4391806544921.52027472358556

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 455.906384947517 & 2.50113766951018 \tabularnewline
0.02 & 457.836196936552 & 4.66500604533476 \tabularnewline
0.03 & 460.545316859499 & 6.18299841526155 \tabularnewline
0.04 & 463.627744991291 & 6.7957794493537 \tabularnewline
0.05 & 466.766115076951 & 7.0030669078616 \tabularnewline
0.06 & 469.84836156225 & 7.50020286907201 \tabularnewline
0.07 & 472.937925982519 & 8.62840838849912 \tabularnewline
0.08 & 476.164906460231 & 10.1998915835462 \tabularnewline
0.09 & 479.61994512714 & 11.7721917984559 \tabularnewline
0.1 & 483.298735372286 & 12.9332966145362 \tabularnewline
0.11 & 487.103235036237 & 13.4289254564529 \tabularnewline
0.12 & 490.879851695954 & 13.1999986519479 \tabularnewline
0.13 & 494.468354563246 & 12.3541419617543 \tabularnewline
0.14 & 497.741422538417 & 11.1009257219513 \tabularnewline
0.15 & 500.625476313575 & 9.67700164637277 \tabularnewline
0.16 & 503.102963580985 & 8.28997097081101 \tabularnewline
0.17 & 505.201841538449 & 7.08534782684524 \tabularnewline
0.18 & 506.979448056718 & 6.14553775692897 \tabularnewline
0.19 & 508.506583965269 & 5.49451586563756 \tabularnewline
0.2 & 509.855143529542 & 5.11943877783453 \tabularnewline
0.21 & 511.090330754487 & 4.97971206779866 \tabularnewline
0.22 & 512.266998152248 & 5.0294293826022 \tabularnewline
0.23 & 513.428977247676 & 5.22193988693763 \tabularnewline
0.24 & 514.610181353683 & 5.52631854932663 \tabularnewline
0.25 & 515.836459823441 & 5.91636689016525 \tabularnewline
0.26 & 517.127469777269 & 6.37875507628554 \tabularnewline
0.27 & 518.498113296038 & 6.90060651278851 \tabularnewline
0.28 & 519.959337761233 & 7.46949050902282 \tabularnewline
0.29 & 521.518307755598 & 8.06846561499438 \tabularnewline
0.3 & 523.178119211397 & 8.67513291933488 \tabularnewline
0.31 & 524.937325592776 & 9.26244021220257 \tabularnewline
0.32 & 526.78957054426 & 9.80083179131308 \tabularnewline
0.33 & 528.723572812829 & 10.2624242331322 \tabularnewline
0.34 & 530.723604436507 & 10.6223199663484 \tabularnewline
0.35 & 532.770471875698 & 10.8643925801965 \tabularnewline
0.36 & 534.842886256095 & 10.9818111480377 \tabularnewline
0.37 & 536.91902275375 & 10.9760993885095 \tabularnewline
0.38 & 538.97803761756 & 10.8582689107815 \tabularnewline
0.39 & 541.001335762415 & 10.6453502377937 \tabularnewline
0.4 & 542.973449077351 & 10.3566037913064 \tabularnewline
0.41 & 544.882473175541 & 10.0130896041528 \tabularnewline
0.42 & 546.720094113515 & 9.63482763057356 \tabularnewline
0.43 & 548.48129771514 & 9.23536756945958 \tabularnewline
0.44 & 550.163883252955 & 8.83031246245417 \tabularnewline
0.45 & 551.767901370013 & 8.42700951427071 \tabularnewline
0.46 & 553.29511195667 & 8.03490747456285 \tabularnewline
0.47 & 554.748523160289 & 7.6571229235569 \tabularnewline
0.48 & 556.13203862549 & 7.2993323044244 \tabularnewline
0.49 & 557.450213389805 & 6.96243947694221 \tabularnewline
0.5 & 558.708102067215 & 6.65045105147674 \tabularnewline
0.51 & 559.911175165979 & 6.36663874166031 \tabularnewline
0.52 & 561.0652782365 & 6.11073043264756 \tabularnewline
0.53 & 562.176611683715 & 5.8866948676271 \tabularnewline
0.54 & 563.251714795299 & 5.69677129625563 \tabularnewline
0.55 & 564.297444505858 & 5.5413328182131 \tabularnewline
0.56 & 565.320946116309 & 5.42450686373905 \tabularnewline
0.57 & 566.329617622643 & 5.3457210488908 \tabularnewline
0.58 & 567.331069407477 & 5.30548242613593 \tabularnewline
0.59 & 568.333075637025 & 5.30587509174068 \tabularnewline
0.6 & 569.343503565715 & 5.34470175436944 \tabularnewline
0.61 & 570.370195317757 & 5.42298443951648 \tabularnewline
0.62 & 571.420768779289 & 5.53803520615627 \tabularnewline
0.63 & 572.502305611688 & 5.68723119057024 \tabularnewline
0.64 & 573.620909030719 & 5.8648339294594 \tabularnewline
0.65 & 574.781142261626 & 6.06162196999987 \tabularnewline
0.66 & 575.985396348573 & 6.26396720615111 \tabularnewline
0.67 & 577.233275150352 & 6.45589353027285 \tabularnewline
0.68 & 578.521115743237 & 6.61874347718774 \tabularnewline
0.69 & 579.841774790041 & 6.73335901703312 \tabularnewline
0.7 & 581.184800245855 & 6.78209904023505 \tabularnewline
0.71 & 582.537073316774 & 6.75168992470656 \tabularnewline
0.72 & 583.883953797571 & 6.63685693022578 \tabularnewline
0.73 & 585.210901805602 & 6.44023218637951 \tabularnewline
0.74 & 586.505487952307 & 6.17445228827248 \tabularnewline
0.75 & 587.759643138281 & 5.86273772433522 \tabularnewline
0.76 & 588.97193105371 & 5.5398983139206 \tabularnewline
0.77 & 590.14954017241 & 5.24915442472902 \tabularnewline
0.78 & 591.309586279409 & 5.04133678700111 \tabularnewline
0.79 & 592.479218194822 & 4.97048359412656 \tabularnewline
0.8 & 593.693996219224 & 5.08158377263773 \tabularnewline
0.81 & 594.994164972593 & 5.39285373726736 \tabularnewline
0.82 & 596.418857381521 & 5.88285807571911 \tabularnewline
0.83 & 597.998942560235 & 6.48870905367917 \tabularnewline
0.84 & 599.749999235783 & 7.11315130434391 \tabularnewline
0.85 & 601.667412971831 & 7.64828221458496 \tabularnewline
0.86 & 603.725455819751 & 7.99489592215767 \tabularnewline
0.87 & 605.88120170373 & 8.09029180087598 \tabularnewline
0.88 & 608.08251565383 & 7.92268284590387 \tabularnewline
0.89 & 610.27790192658 & 7.5317188420491 \tabularnewline
0.9 & 612.425600782249 & 6.98947497661642 \tabularnewline
0.91 & 614.500226531971 & 6.37467455488018 \tabularnewline
0.92 & 616.496425356427 & 5.75445809890236 \tabularnewline
0.93 & 618.428730119925 & 5.18734497699821 \tabularnewline
0.94 & 620.324509410546 & 4.72482897672687 \tabularnewline
0.95 & 622.205653589398 & 4.36957903395938 \tabularnewline
0.96 & 624.05979085697 & 4.00427601980228 \tabularnewline
0.97 & 625.81395122941 & 3.42006498792815 \tabularnewline
0.98 & 627.330990327726 & 2.51329540820735 \tabularnewline
0.99 & 628.439180654492 & 1.52027472358556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3580&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]455.906384947517[/C][C]2.50113766951018[/C][/ROW]
[ROW][C]0.02[/C][C]457.836196936552[/C][C]4.66500604533476[/C][/ROW]
[ROW][C]0.03[/C][C]460.545316859499[/C][C]6.18299841526155[/C][/ROW]
[ROW][C]0.04[/C][C]463.627744991291[/C][C]6.7957794493537[/C][/ROW]
[ROW][C]0.05[/C][C]466.766115076951[/C][C]7.0030669078616[/C][/ROW]
[ROW][C]0.06[/C][C]469.84836156225[/C][C]7.50020286907201[/C][/ROW]
[ROW][C]0.07[/C][C]472.937925982519[/C][C]8.62840838849912[/C][/ROW]
[ROW][C]0.08[/C][C]476.164906460231[/C][C]10.1998915835462[/C][/ROW]
[ROW][C]0.09[/C][C]479.61994512714[/C][C]11.7721917984559[/C][/ROW]
[ROW][C]0.1[/C][C]483.298735372286[/C][C]12.9332966145362[/C][/ROW]
[ROW][C]0.11[/C][C]487.103235036237[/C][C]13.4289254564529[/C][/ROW]
[ROW][C]0.12[/C][C]490.879851695954[/C][C]13.1999986519479[/C][/ROW]
[ROW][C]0.13[/C][C]494.468354563246[/C][C]12.3541419617543[/C][/ROW]
[ROW][C]0.14[/C][C]497.741422538417[/C][C]11.1009257219513[/C][/ROW]
[ROW][C]0.15[/C][C]500.625476313575[/C][C]9.67700164637277[/C][/ROW]
[ROW][C]0.16[/C][C]503.102963580985[/C][C]8.28997097081101[/C][/ROW]
[ROW][C]0.17[/C][C]505.201841538449[/C][C]7.08534782684524[/C][/ROW]
[ROW][C]0.18[/C][C]506.979448056718[/C][C]6.14553775692897[/C][/ROW]
[ROW][C]0.19[/C][C]508.506583965269[/C][C]5.49451586563756[/C][/ROW]
[ROW][C]0.2[/C][C]509.855143529542[/C][C]5.11943877783453[/C][/ROW]
[ROW][C]0.21[/C][C]511.090330754487[/C][C]4.97971206779866[/C][/ROW]
[ROW][C]0.22[/C][C]512.266998152248[/C][C]5.0294293826022[/C][/ROW]
[ROW][C]0.23[/C][C]513.428977247676[/C][C]5.22193988693763[/C][/ROW]
[ROW][C]0.24[/C][C]514.610181353683[/C][C]5.52631854932663[/C][/ROW]
[ROW][C]0.25[/C][C]515.836459823441[/C][C]5.91636689016525[/C][/ROW]
[ROW][C]0.26[/C][C]517.127469777269[/C][C]6.37875507628554[/C][/ROW]
[ROW][C]0.27[/C][C]518.498113296038[/C][C]6.90060651278851[/C][/ROW]
[ROW][C]0.28[/C][C]519.959337761233[/C][C]7.46949050902282[/C][/ROW]
[ROW][C]0.29[/C][C]521.518307755598[/C][C]8.06846561499438[/C][/ROW]
[ROW][C]0.3[/C][C]523.178119211397[/C][C]8.67513291933488[/C][/ROW]
[ROW][C]0.31[/C][C]524.937325592776[/C][C]9.26244021220257[/C][/ROW]
[ROW][C]0.32[/C][C]526.78957054426[/C][C]9.80083179131308[/C][/ROW]
[ROW][C]0.33[/C][C]528.723572812829[/C][C]10.2624242331322[/C][/ROW]
[ROW][C]0.34[/C][C]530.723604436507[/C][C]10.6223199663484[/C][/ROW]
[ROW][C]0.35[/C][C]532.770471875698[/C][C]10.8643925801965[/C][/ROW]
[ROW][C]0.36[/C][C]534.842886256095[/C][C]10.9818111480377[/C][/ROW]
[ROW][C]0.37[/C][C]536.91902275375[/C][C]10.9760993885095[/C][/ROW]
[ROW][C]0.38[/C][C]538.97803761756[/C][C]10.8582689107815[/C][/ROW]
[ROW][C]0.39[/C][C]541.001335762415[/C][C]10.6453502377937[/C][/ROW]
[ROW][C]0.4[/C][C]542.973449077351[/C][C]10.3566037913064[/C][/ROW]
[ROW][C]0.41[/C][C]544.882473175541[/C][C]10.0130896041528[/C][/ROW]
[ROW][C]0.42[/C][C]546.720094113515[/C][C]9.63482763057356[/C][/ROW]
[ROW][C]0.43[/C][C]548.48129771514[/C][C]9.23536756945958[/C][/ROW]
[ROW][C]0.44[/C][C]550.163883252955[/C][C]8.83031246245417[/C][/ROW]
[ROW][C]0.45[/C][C]551.767901370013[/C][C]8.42700951427071[/C][/ROW]
[ROW][C]0.46[/C][C]553.29511195667[/C][C]8.03490747456285[/C][/ROW]
[ROW][C]0.47[/C][C]554.748523160289[/C][C]7.6571229235569[/C][/ROW]
[ROW][C]0.48[/C][C]556.13203862549[/C][C]7.2993323044244[/C][/ROW]
[ROW][C]0.49[/C][C]557.450213389805[/C][C]6.96243947694221[/C][/ROW]
[ROW][C]0.5[/C][C]558.708102067215[/C][C]6.65045105147674[/C][/ROW]
[ROW][C]0.51[/C][C]559.911175165979[/C][C]6.36663874166031[/C][/ROW]
[ROW][C]0.52[/C][C]561.0652782365[/C][C]6.11073043264756[/C][/ROW]
[ROW][C]0.53[/C][C]562.176611683715[/C][C]5.8866948676271[/C][/ROW]
[ROW][C]0.54[/C][C]563.251714795299[/C][C]5.69677129625563[/C][/ROW]
[ROW][C]0.55[/C][C]564.297444505858[/C][C]5.5413328182131[/C][/ROW]
[ROW][C]0.56[/C][C]565.320946116309[/C][C]5.42450686373905[/C][/ROW]
[ROW][C]0.57[/C][C]566.329617622643[/C][C]5.3457210488908[/C][/ROW]
[ROW][C]0.58[/C][C]567.331069407477[/C][C]5.30548242613593[/C][/ROW]
[ROW][C]0.59[/C][C]568.333075637025[/C][C]5.30587509174068[/C][/ROW]
[ROW][C]0.6[/C][C]569.343503565715[/C][C]5.34470175436944[/C][/ROW]
[ROW][C]0.61[/C][C]570.370195317757[/C][C]5.42298443951648[/C][/ROW]
[ROW][C]0.62[/C][C]571.420768779289[/C][C]5.53803520615627[/C][/ROW]
[ROW][C]0.63[/C][C]572.502305611688[/C][C]5.68723119057024[/C][/ROW]
[ROW][C]0.64[/C][C]573.620909030719[/C][C]5.8648339294594[/C][/ROW]
[ROW][C]0.65[/C][C]574.781142261626[/C][C]6.06162196999987[/C][/ROW]
[ROW][C]0.66[/C][C]575.985396348573[/C][C]6.26396720615111[/C][/ROW]
[ROW][C]0.67[/C][C]577.233275150352[/C][C]6.45589353027285[/C][/ROW]
[ROW][C]0.68[/C][C]578.521115743237[/C][C]6.61874347718774[/C][/ROW]
[ROW][C]0.69[/C][C]579.841774790041[/C][C]6.73335901703312[/C][/ROW]
[ROW][C]0.7[/C][C]581.184800245855[/C][C]6.78209904023505[/C][/ROW]
[ROW][C]0.71[/C][C]582.537073316774[/C][C]6.75168992470656[/C][/ROW]
[ROW][C]0.72[/C][C]583.883953797571[/C][C]6.63685693022578[/C][/ROW]
[ROW][C]0.73[/C][C]585.210901805602[/C][C]6.44023218637951[/C][/ROW]
[ROW][C]0.74[/C][C]586.505487952307[/C][C]6.17445228827248[/C][/ROW]
[ROW][C]0.75[/C][C]587.759643138281[/C][C]5.86273772433522[/C][/ROW]
[ROW][C]0.76[/C][C]588.97193105371[/C][C]5.5398983139206[/C][/ROW]
[ROW][C]0.77[/C][C]590.14954017241[/C][C]5.24915442472902[/C][/ROW]
[ROW][C]0.78[/C][C]591.309586279409[/C][C]5.04133678700111[/C][/ROW]
[ROW][C]0.79[/C][C]592.479218194822[/C][C]4.97048359412656[/C][/ROW]
[ROW][C]0.8[/C][C]593.693996219224[/C][C]5.08158377263773[/C][/ROW]
[ROW][C]0.81[/C][C]594.994164972593[/C][C]5.39285373726736[/C][/ROW]
[ROW][C]0.82[/C][C]596.418857381521[/C][C]5.88285807571911[/C][/ROW]
[ROW][C]0.83[/C][C]597.998942560235[/C][C]6.48870905367917[/C][/ROW]
[ROW][C]0.84[/C][C]599.749999235783[/C][C]7.11315130434391[/C][/ROW]
[ROW][C]0.85[/C][C]601.667412971831[/C][C]7.64828221458496[/C][/ROW]
[ROW][C]0.86[/C][C]603.725455819751[/C][C]7.99489592215767[/C][/ROW]
[ROW][C]0.87[/C][C]605.88120170373[/C][C]8.09029180087598[/C][/ROW]
[ROW][C]0.88[/C][C]608.08251565383[/C][C]7.92268284590387[/C][/ROW]
[ROW][C]0.89[/C][C]610.27790192658[/C][C]7.5317188420491[/C][/ROW]
[ROW][C]0.9[/C][C]612.425600782249[/C][C]6.98947497661642[/C][/ROW]
[ROW][C]0.91[/C][C]614.500226531971[/C][C]6.37467455488018[/C][/ROW]
[ROW][C]0.92[/C][C]616.496425356427[/C][C]5.75445809890236[/C][/ROW]
[ROW][C]0.93[/C][C]618.428730119925[/C][C]5.18734497699821[/C][/ROW]
[ROW][C]0.94[/C][C]620.324509410546[/C][C]4.72482897672687[/C][/ROW]
[ROW][C]0.95[/C][C]622.205653589398[/C][C]4.36957903395938[/C][/ROW]
[ROW][C]0.96[/C][C]624.05979085697[/C][C]4.00427601980228[/C][/ROW]
[ROW][C]0.97[/C][C]625.81395122941[/C][C]3.42006498792815[/C][/ROW]
[ROW][C]0.98[/C][C]627.330990327726[/C][C]2.51329540820735[/C][/ROW]
[ROW][C]0.99[/C][C]628.439180654492[/C][C]1.52027472358556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3580&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3580&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
0.01455.9063849475172.50113766951018
0.02457.8361969365524.66500604533476
0.03460.5453168594996.18299841526155
0.04463.6277449912916.7957794493537
0.05466.7661150769517.0030669078616
0.06469.848361562257.50020286907201
0.07472.9379259825198.62840838849912
0.08476.16490646023110.1998915835462
0.09479.6199451271411.7721917984559
0.1483.29873537228612.9332966145362
0.11487.10323503623713.4289254564529
0.12490.87985169595413.1999986519479
0.13494.46835456324612.3541419617543
0.14497.74142253841711.1009257219513
0.15500.6254763135759.67700164637277
0.16503.1029635809858.28997097081101
0.17505.2018415384497.08534782684524
0.18506.9794480567186.14553775692897
0.19508.5065839652695.49451586563756
0.2509.8551435295425.11943877783453
0.21511.0903307544874.97971206779866
0.22512.2669981522485.0294293826022
0.23513.4289772476765.22193988693763
0.24514.6101813536835.52631854932663
0.25515.8364598234415.91636689016525
0.26517.1274697772696.37875507628554
0.27518.4981132960386.90060651278851
0.28519.9593377612337.46949050902282
0.29521.5183077555988.06846561499438
0.3523.1781192113978.67513291933488
0.31524.9373255927769.26244021220257
0.32526.789570544269.80083179131308
0.33528.72357281282910.2624242331322
0.34530.72360443650710.6223199663484
0.35532.77047187569810.8643925801965
0.36534.84288625609510.9818111480377
0.37536.9190227537510.9760993885095
0.38538.9780376175610.8582689107815
0.39541.00133576241510.6453502377937
0.4542.97344907735110.3566037913064
0.41544.88247317554110.0130896041528
0.42546.7200941135159.63482763057356
0.43548.481297715149.23536756945958
0.44550.1638832529558.83031246245417
0.45551.7679013700138.42700951427071
0.46553.295111956678.03490747456285
0.47554.7485231602897.6571229235569
0.48556.132038625497.2993323044244
0.49557.4502133898056.96243947694221
0.5558.7081020672156.65045105147674
0.51559.9111751659796.36663874166031
0.52561.06527823656.11073043264756
0.53562.1766116837155.8866948676271
0.54563.2517147952995.69677129625563
0.55564.2974445058585.5413328182131
0.56565.3209461163095.42450686373905
0.57566.3296176226435.3457210488908
0.58567.3310694074775.30548242613593
0.59568.3330756370255.30587509174068
0.6569.3435035657155.34470175436944
0.61570.3701953177575.42298443951648
0.62571.4207687792895.53803520615627
0.63572.5023056116885.68723119057024
0.64573.6209090307195.8648339294594
0.65574.7811422616266.06162196999987
0.66575.9853963485736.26396720615111
0.67577.2332751503526.45589353027285
0.68578.5211157432376.61874347718774
0.69579.8417747900416.73335901703312
0.7581.1848002458556.78209904023505
0.71582.5370733167746.75168992470656
0.72583.8839537975716.63685693022578
0.73585.2109018056026.44023218637951
0.74586.5054879523076.17445228827248
0.75587.7596431382815.86273772433522
0.76588.971931053715.5398983139206
0.77590.149540172415.24915442472902
0.78591.3095862794095.04133678700111
0.79592.4792181948224.97048359412656
0.8593.6939962192245.08158377263773
0.81594.9941649725935.39285373726736
0.82596.4188573815215.88285807571911
0.83597.9989425602356.48870905367917
0.84599.7499992357837.11315130434391
0.85601.6674129718317.64828221458496
0.86603.7254558197517.99489592215767
0.87605.881201703738.09029180087598
0.88608.082515653837.92268284590387
0.89610.277901926587.5317188420491
0.9612.4256007822496.98947497661642
0.91614.5002265319716.37467455488018
0.92616.4964253564275.75445809890236
0.93618.4287301199255.18734497699821
0.94620.3245094105464.72482897672687
0.95622.2056535893984.36957903395938
0.96624.059790856974.00427601980228
0.97625.813951229413.42006498792815
0.98627.3309903277262.51329540820735
0.99628.4391806544921.52027472358556


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')