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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 07:10:34 -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/2010/Mar/10/t1268230300p6xyil6y4hint20.htm/, Retrieved Fri, 28 Jan 2022 08:01:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74276, Retrieved Fri, 28 Jan 2022 08:01:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-03-10 14:10:34] [26ddb8a30b965ed6738d4d4bc4c527d5] [Current]
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Dataseries X:
580
575
558
564
581
597
587
536
524
537
536
533
528
516
502
506
518
534
528
478
469
490
493
508
517
514
510
527
542
565
555
499
511
526
532
549
561
557
566
588
620
626
620
573
573
574
580
590
593
597
595
612
628
629
621
569
567
573
584
589
591
595
594
611
613
611
594
543
537
544
555
561
562




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74276&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74276&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74276&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01472.3872296018879.23125744965564
0.02477.7182742513179.66345839892873
0.03483.3660459786529.47218576102437
0.04488.4391087585938.75359025118077
0.05492.7195599764857.98928804138334
0.06496.2954262552397.38775777636932
0.07499.3235397203546.91048066191554
0.08501.9380283361466.4911629725511
0.09504.2356406787496.11908583429827
0.1506.2872038982565.81920899839322
0.11508.1502039467995.62023035371527
0.12509.8749619938035.53486932384678
0.13511.5054015483965.55496188754036
0.14513.0774963289725.65738980840234
0.15514.6176859800495.80948767808253
0.16516.1422818463995.9747029173482
0.17517.6580590992966.12011884155901
0.18519.1638607814076.21910493794304
0.19520.6529036800056.25432600229734
0.2522.1154177489526.22272671257793
0.21523.5412266251756.13087968786269
0.22524.9219078981865.99495289911278
0.23526.2522795029365.83699146819983
0.24527.5311262558915.67843602586266
0.25528.7612546897615.53922751603611
0.26529.9490836729235.4358585877482
0.27531.1040065303085.38094416658192
0.28532.2377025395345.38389517002371
0.29533.363471476825.45457487438476
0.3534.4955666081165.59865269240755
0.31535.6484500590835.8184075162514
0.32536.8359048871116.10974330262285
0.33538.0699985894026.46113900198834
0.34539.3599740796286.85242264436602
0.35540.711213588257.25893410094683
0.36542.1244537739097.65116441774615
0.37543.5954161534798.0002238291985
0.38545.1149600443918.27742971420755
0.39546.6697807510968.46422470907426
0.4548.2435841314138.54595487543258
0.41549.8185899741698.51858872590182
0.42551.377166106078.38924526605845
0.43552.9033808444258.17248661849562
0.44554.3842833762587.88956040655793
0.45555.8107729335287.56475750326406
0.46557.17798656347.22297129935023
0.47558.4852083656676.89029141730586
0.48559.7353678833776.58357697253671
0.49560.9342427696866.31946323475152
0.5562.0895061239116.10516180963787
0.51563.2097613886285.94077803220012
0.52564.3036900413425.82580681364585
0.53565.3794041078945.75113308906074
0.54566.4440524083795.70920519678883
0.55567.5036825853155.69328969275529
0.56568.5633168603325.69604246323631
0.57569.6271646872365.71322796546833
0.58570.6988759410195.74436146288297
0.59571.7817380792965.78844173727563
0.6572.8787406838565.84591237549543
0.61573.9924676209165.91526976162079
0.62575.1248233542645.99349054702441
0.63576.2766455863486.07373544851659
0.64577.4472909147746.14584460385386
0.65578.6342954526186.19897146296694
0.66579.8332048061526.2204675003648
0.67581.0376394955826.20123837584173
0.68582.2396201982196.1323985383375
0.69583.4301331132436.01053825561278
0.7584.599881379195.83596482819999
0.71585.7401537296745.61558659641628
0.72586.8437507017835.35721583193363
0.73587.9059372183825.07565487696637
0.74588.9254234019564.78856195098917
0.75589.905389307344.51562356402632
0.76590.8545374123794.28357732458828
0.77591.7880615354724.12170324051215
0.78592.7282689680814.0650368779155
0.79593.7044290029944.14970300410593
0.8594.7513325930634.40299413312024
0.81595.9061448694.82990374525031
0.82597.2035002217235.40222669035528
0.83598.6694182809776.05988004266628
0.84600.3153389642266.71496128900776
0.85602.134056740987.2709687424211
0.86604.0992057915117.63951672762782
0.87606.169026931277.76598106614297
0.88608.2936870379227.64169343033413
0.89610.4241462245097.30468101397706
0.9612.5202933889786.82061328629795
0.91614.5569683033736.26091041494779
0.92616.5275309017875.68567450140226
0.93618.444118217275.15057212938477
0.94620.331262368674.70783931571487
0.95622.2082229395064.36285858178777
0.96624.0606110079324.00203283082389
0.97625.8141597038733.41951620811298
0.98627.3310286329382.51323235340615
0.99628.4391846332841.52027984512319

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 472.387229601887 & 9.23125744965564 \tabularnewline
0.02 & 477.718274251317 & 9.66345839892873 \tabularnewline
0.03 & 483.366045978652 & 9.47218576102437 \tabularnewline
0.04 & 488.439108758593 & 8.75359025118077 \tabularnewline
0.05 & 492.719559976485 & 7.98928804138334 \tabularnewline
0.06 & 496.295426255239 & 7.38775777636932 \tabularnewline
0.07 & 499.323539720354 & 6.91048066191554 \tabularnewline
0.08 & 501.938028336146 & 6.4911629725511 \tabularnewline
0.09 & 504.235640678749 & 6.11908583429827 \tabularnewline
0.1 & 506.287203898256 & 5.81920899839322 \tabularnewline
0.11 & 508.150203946799 & 5.62023035371527 \tabularnewline
0.12 & 509.874961993803 & 5.53486932384678 \tabularnewline
0.13 & 511.505401548396 & 5.55496188754036 \tabularnewline
0.14 & 513.077496328972 & 5.65738980840234 \tabularnewline
0.15 & 514.617685980049 & 5.80948767808253 \tabularnewline
0.16 & 516.142281846399 & 5.9747029173482 \tabularnewline
0.17 & 517.658059099296 & 6.12011884155901 \tabularnewline
0.18 & 519.163860781407 & 6.21910493794304 \tabularnewline
0.19 & 520.652903680005 & 6.25432600229734 \tabularnewline
0.2 & 522.115417748952 & 6.22272671257793 \tabularnewline
0.21 & 523.541226625175 & 6.13087968786269 \tabularnewline
0.22 & 524.921907898186 & 5.99495289911278 \tabularnewline
0.23 & 526.252279502936 & 5.83699146819983 \tabularnewline
0.24 & 527.531126255891 & 5.67843602586266 \tabularnewline
0.25 & 528.761254689761 & 5.53922751603611 \tabularnewline
0.26 & 529.949083672923 & 5.4358585877482 \tabularnewline
0.27 & 531.104006530308 & 5.38094416658192 \tabularnewline
0.28 & 532.237702539534 & 5.38389517002371 \tabularnewline
0.29 & 533.36347147682 & 5.45457487438476 \tabularnewline
0.3 & 534.495566608116 & 5.59865269240755 \tabularnewline
0.31 & 535.648450059083 & 5.8184075162514 \tabularnewline
0.32 & 536.835904887111 & 6.10974330262285 \tabularnewline
0.33 & 538.069998589402 & 6.46113900198834 \tabularnewline
0.34 & 539.359974079628 & 6.85242264436602 \tabularnewline
0.35 & 540.71121358825 & 7.25893410094683 \tabularnewline
0.36 & 542.124453773909 & 7.65116441774615 \tabularnewline
0.37 & 543.595416153479 & 8.0002238291985 \tabularnewline
0.38 & 545.114960044391 & 8.27742971420755 \tabularnewline
0.39 & 546.669780751096 & 8.46422470907426 \tabularnewline
0.4 & 548.243584131413 & 8.54595487543258 \tabularnewline
0.41 & 549.818589974169 & 8.51858872590182 \tabularnewline
0.42 & 551.37716610607 & 8.38924526605845 \tabularnewline
0.43 & 552.903380844425 & 8.17248661849562 \tabularnewline
0.44 & 554.384283376258 & 7.88956040655793 \tabularnewline
0.45 & 555.810772933528 & 7.56475750326406 \tabularnewline
0.46 & 557.1779865634 & 7.22297129935023 \tabularnewline
0.47 & 558.485208365667 & 6.89029141730586 \tabularnewline
0.48 & 559.735367883377 & 6.58357697253671 \tabularnewline
0.49 & 560.934242769686 & 6.31946323475152 \tabularnewline
0.5 & 562.089506123911 & 6.10516180963787 \tabularnewline
0.51 & 563.209761388628 & 5.94077803220012 \tabularnewline
0.52 & 564.303690041342 & 5.82580681364585 \tabularnewline
0.53 & 565.379404107894 & 5.75113308906074 \tabularnewline
0.54 & 566.444052408379 & 5.70920519678883 \tabularnewline
0.55 & 567.503682585315 & 5.69328969275529 \tabularnewline
0.56 & 568.563316860332 & 5.69604246323631 \tabularnewline
0.57 & 569.627164687236 & 5.71322796546833 \tabularnewline
0.58 & 570.698875941019 & 5.74436146288297 \tabularnewline
0.59 & 571.781738079296 & 5.78844173727563 \tabularnewline
0.6 & 572.878740683856 & 5.84591237549543 \tabularnewline
0.61 & 573.992467620916 & 5.91526976162079 \tabularnewline
0.62 & 575.124823354264 & 5.99349054702441 \tabularnewline
0.63 & 576.276645586348 & 6.07373544851659 \tabularnewline
0.64 & 577.447290914774 & 6.14584460385386 \tabularnewline
0.65 & 578.634295452618 & 6.19897146296694 \tabularnewline
0.66 & 579.833204806152 & 6.2204675003648 \tabularnewline
0.67 & 581.037639495582 & 6.20123837584173 \tabularnewline
0.68 & 582.239620198219 & 6.1323985383375 \tabularnewline
0.69 & 583.430133113243 & 6.01053825561278 \tabularnewline
0.7 & 584.59988137919 & 5.83596482819999 \tabularnewline
0.71 & 585.740153729674 & 5.61558659641628 \tabularnewline
0.72 & 586.843750701783 & 5.35721583193363 \tabularnewline
0.73 & 587.905937218382 & 5.07565487696637 \tabularnewline
0.74 & 588.925423401956 & 4.78856195098917 \tabularnewline
0.75 & 589.90538930734 & 4.51562356402632 \tabularnewline
0.76 & 590.854537412379 & 4.28357732458828 \tabularnewline
0.77 & 591.788061535472 & 4.12170324051215 \tabularnewline
0.78 & 592.728268968081 & 4.0650368779155 \tabularnewline
0.79 & 593.704429002994 & 4.14970300410593 \tabularnewline
0.8 & 594.751332593063 & 4.40299413312024 \tabularnewline
0.81 & 595.906144869 & 4.82990374525031 \tabularnewline
0.82 & 597.203500221723 & 5.40222669035528 \tabularnewline
0.83 & 598.669418280977 & 6.05988004266628 \tabularnewline
0.84 & 600.315338964226 & 6.71496128900776 \tabularnewline
0.85 & 602.13405674098 & 7.2709687424211 \tabularnewline
0.86 & 604.099205791511 & 7.63951672762782 \tabularnewline
0.87 & 606.16902693127 & 7.76598106614297 \tabularnewline
0.88 & 608.293687037922 & 7.64169343033413 \tabularnewline
0.89 & 610.424146224509 & 7.30468101397706 \tabularnewline
0.9 & 612.520293388978 & 6.82061328629795 \tabularnewline
0.91 & 614.556968303373 & 6.26091041494779 \tabularnewline
0.92 & 616.527530901787 & 5.68567450140226 \tabularnewline
0.93 & 618.44411821727 & 5.15057212938477 \tabularnewline
0.94 & 620.33126236867 & 4.70783931571487 \tabularnewline
0.95 & 622.208222939506 & 4.36285858178777 \tabularnewline
0.96 & 624.060611007932 & 4.00203283082389 \tabularnewline
0.97 & 625.814159703873 & 3.41951620811298 \tabularnewline
0.98 & 627.331028632938 & 2.51323235340615 \tabularnewline
0.99 & 628.439184633284 & 1.52027984512319 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74276&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]472.387229601887[/C][C]9.23125744965564[/C][/ROW]
[ROW][C]0.02[/C][C]477.718274251317[/C][C]9.66345839892873[/C][/ROW]
[ROW][C]0.03[/C][C]483.366045978652[/C][C]9.47218576102437[/C][/ROW]
[ROW][C]0.04[/C][C]488.439108758593[/C][C]8.75359025118077[/C][/ROW]
[ROW][C]0.05[/C][C]492.719559976485[/C][C]7.98928804138334[/C][/ROW]
[ROW][C]0.06[/C][C]496.295426255239[/C][C]7.38775777636932[/C][/ROW]
[ROW][C]0.07[/C][C]499.323539720354[/C][C]6.91048066191554[/C][/ROW]
[ROW][C]0.08[/C][C]501.938028336146[/C][C]6.4911629725511[/C][/ROW]
[ROW][C]0.09[/C][C]504.235640678749[/C][C]6.11908583429827[/C][/ROW]
[ROW][C]0.1[/C][C]506.287203898256[/C][C]5.81920899839322[/C][/ROW]
[ROW][C]0.11[/C][C]508.150203946799[/C][C]5.62023035371527[/C][/ROW]
[ROW][C]0.12[/C][C]509.874961993803[/C][C]5.53486932384678[/C][/ROW]
[ROW][C]0.13[/C][C]511.505401548396[/C][C]5.55496188754036[/C][/ROW]
[ROW][C]0.14[/C][C]513.077496328972[/C][C]5.65738980840234[/C][/ROW]
[ROW][C]0.15[/C][C]514.617685980049[/C][C]5.80948767808253[/C][/ROW]
[ROW][C]0.16[/C][C]516.142281846399[/C][C]5.9747029173482[/C][/ROW]
[ROW][C]0.17[/C][C]517.658059099296[/C][C]6.12011884155901[/C][/ROW]
[ROW][C]0.18[/C][C]519.163860781407[/C][C]6.21910493794304[/C][/ROW]
[ROW][C]0.19[/C][C]520.652903680005[/C][C]6.25432600229734[/C][/ROW]
[ROW][C]0.2[/C][C]522.115417748952[/C][C]6.22272671257793[/C][/ROW]
[ROW][C]0.21[/C][C]523.541226625175[/C][C]6.13087968786269[/C][/ROW]
[ROW][C]0.22[/C][C]524.921907898186[/C][C]5.99495289911278[/C][/ROW]
[ROW][C]0.23[/C][C]526.252279502936[/C][C]5.83699146819983[/C][/ROW]
[ROW][C]0.24[/C][C]527.531126255891[/C][C]5.67843602586266[/C][/ROW]
[ROW][C]0.25[/C][C]528.761254689761[/C][C]5.53922751603611[/C][/ROW]
[ROW][C]0.26[/C][C]529.949083672923[/C][C]5.4358585877482[/C][/ROW]
[ROW][C]0.27[/C][C]531.104006530308[/C][C]5.38094416658192[/C][/ROW]
[ROW][C]0.28[/C][C]532.237702539534[/C][C]5.38389517002371[/C][/ROW]
[ROW][C]0.29[/C][C]533.36347147682[/C][C]5.45457487438476[/C][/ROW]
[ROW][C]0.3[/C][C]534.495566608116[/C][C]5.59865269240755[/C][/ROW]
[ROW][C]0.31[/C][C]535.648450059083[/C][C]5.8184075162514[/C][/ROW]
[ROW][C]0.32[/C][C]536.835904887111[/C][C]6.10974330262285[/C][/ROW]
[ROW][C]0.33[/C][C]538.069998589402[/C][C]6.46113900198834[/C][/ROW]
[ROW][C]0.34[/C][C]539.359974079628[/C][C]6.85242264436602[/C][/ROW]
[ROW][C]0.35[/C][C]540.71121358825[/C][C]7.25893410094683[/C][/ROW]
[ROW][C]0.36[/C][C]542.124453773909[/C][C]7.65116441774615[/C][/ROW]
[ROW][C]0.37[/C][C]543.595416153479[/C][C]8.0002238291985[/C][/ROW]
[ROW][C]0.38[/C][C]545.114960044391[/C][C]8.27742971420755[/C][/ROW]
[ROW][C]0.39[/C][C]546.669780751096[/C][C]8.46422470907426[/C][/ROW]
[ROW][C]0.4[/C][C]548.243584131413[/C][C]8.54595487543258[/C][/ROW]
[ROW][C]0.41[/C][C]549.818589974169[/C][C]8.51858872590182[/C][/ROW]
[ROW][C]0.42[/C][C]551.37716610607[/C][C]8.38924526605845[/C][/ROW]
[ROW][C]0.43[/C][C]552.903380844425[/C][C]8.17248661849562[/C][/ROW]
[ROW][C]0.44[/C][C]554.384283376258[/C][C]7.88956040655793[/C][/ROW]
[ROW][C]0.45[/C][C]555.810772933528[/C][C]7.56475750326406[/C][/ROW]
[ROW][C]0.46[/C][C]557.1779865634[/C][C]7.22297129935023[/C][/ROW]
[ROW][C]0.47[/C][C]558.485208365667[/C][C]6.89029141730586[/C][/ROW]
[ROW][C]0.48[/C][C]559.735367883377[/C][C]6.58357697253671[/C][/ROW]
[ROW][C]0.49[/C][C]560.934242769686[/C][C]6.31946323475152[/C][/ROW]
[ROW][C]0.5[/C][C]562.089506123911[/C][C]6.10516180963787[/C][/ROW]
[ROW][C]0.51[/C][C]563.209761388628[/C][C]5.94077803220012[/C][/ROW]
[ROW][C]0.52[/C][C]564.303690041342[/C][C]5.82580681364585[/C][/ROW]
[ROW][C]0.53[/C][C]565.379404107894[/C][C]5.75113308906074[/C][/ROW]
[ROW][C]0.54[/C][C]566.444052408379[/C][C]5.70920519678883[/C][/ROW]
[ROW][C]0.55[/C][C]567.503682585315[/C][C]5.69328969275529[/C][/ROW]
[ROW][C]0.56[/C][C]568.563316860332[/C][C]5.69604246323631[/C][/ROW]
[ROW][C]0.57[/C][C]569.627164687236[/C][C]5.71322796546833[/C][/ROW]
[ROW][C]0.58[/C][C]570.698875941019[/C][C]5.74436146288297[/C][/ROW]
[ROW][C]0.59[/C][C]571.781738079296[/C][C]5.78844173727563[/C][/ROW]
[ROW][C]0.6[/C][C]572.878740683856[/C][C]5.84591237549543[/C][/ROW]
[ROW][C]0.61[/C][C]573.992467620916[/C][C]5.91526976162079[/C][/ROW]
[ROW][C]0.62[/C][C]575.124823354264[/C][C]5.99349054702441[/C][/ROW]
[ROW][C]0.63[/C][C]576.276645586348[/C][C]6.07373544851659[/C][/ROW]
[ROW][C]0.64[/C][C]577.447290914774[/C][C]6.14584460385386[/C][/ROW]
[ROW][C]0.65[/C][C]578.634295452618[/C][C]6.19897146296694[/C][/ROW]
[ROW][C]0.66[/C][C]579.833204806152[/C][C]6.2204675003648[/C][/ROW]
[ROW][C]0.67[/C][C]581.037639495582[/C][C]6.20123837584173[/C][/ROW]
[ROW][C]0.68[/C][C]582.239620198219[/C][C]6.1323985383375[/C][/ROW]
[ROW][C]0.69[/C][C]583.430133113243[/C][C]6.01053825561278[/C][/ROW]
[ROW][C]0.7[/C][C]584.59988137919[/C][C]5.83596482819999[/C][/ROW]
[ROW][C]0.71[/C][C]585.740153729674[/C][C]5.61558659641628[/C][/ROW]
[ROW][C]0.72[/C][C]586.843750701783[/C][C]5.35721583193363[/C][/ROW]
[ROW][C]0.73[/C][C]587.905937218382[/C][C]5.07565487696637[/C][/ROW]
[ROW][C]0.74[/C][C]588.925423401956[/C][C]4.78856195098917[/C][/ROW]
[ROW][C]0.75[/C][C]589.90538930734[/C][C]4.51562356402632[/C][/ROW]
[ROW][C]0.76[/C][C]590.854537412379[/C][C]4.28357732458828[/C][/ROW]
[ROW][C]0.77[/C][C]591.788061535472[/C][C]4.12170324051215[/C][/ROW]
[ROW][C]0.78[/C][C]592.728268968081[/C][C]4.0650368779155[/C][/ROW]
[ROW][C]0.79[/C][C]593.704429002994[/C][C]4.14970300410593[/C][/ROW]
[ROW][C]0.8[/C][C]594.751332593063[/C][C]4.40299413312024[/C][/ROW]
[ROW][C]0.81[/C][C]595.906144869[/C][C]4.82990374525031[/C][/ROW]
[ROW][C]0.82[/C][C]597.203500221723[/C][C]5.40222669035528[/C][/ROW]
[ROW][C]0.83[/C][C]598.669418280977[/C][C]6.05988004266628[/C][/ROW]
[ROW][C]0.84[/C][C]600.315338964226[/C][C]6.71496128900776[/C][/ROW]
[ROW][C]0.85[/C][C]602.13405674098[/C][C]7.2709687424211[/C][/ROW]
[ROW][C]0.86[/C][C]604.099205791511[/C][C]7.63951672762782[/C][/ROW]
[ROW][C]0.87[/C][C]606.16902693127[/C][C]7.76598106614297[/C][/ROW]
[ROW][C]0.88[/C][C]608.293687037922[/C][C]7.64169343033413[/C][/ROW]
[ROW][C]0.89[/C][C]610.424146224509[/C][C]7.30468101397706[/C][/ROW]
[ROW][C]0.9[/C][C]612.520293388978[/C][C]6.82061328629795[/C][/ROW]
[ROW][C]0.91[/C][C]614.556968303373[/C][C]6.26091041494779[/C][/ROW]
[ROW][C]0.92[/C][C]616.527530901787[/C][C]5.68567450140226[/C][/ROW]
[ROW][C]0.93[/C][C]618.44411821727[/C][C]5.15057212938477[/C][/ROW]
[ROW][C]0.94[/C][C]620.33126236867[/C][C]4.70783931571487[/C][/ROW]
[ROW][C]0.95[/C][C]622.208222939506[/C][C]4.36285858178777[/C][/ROW]
[ROW][C]0.96[/C][C]624.060611007932[/C][C]4.00203283082389[/C][/ROW]
[ROW][C]0.97[/C][C]625.814159703873[/C][C]3.41951620811298[/C][/ROW]
[ROW][C]0.98[/C][C]627.331028632938[/C][C]2.51323235340615[/C][/ROW]
[ROW][C]0.99[/C][C]628.439184633284[/C][C]1.52027984512319[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74276&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74276&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01472.3872296018879.23125744965564
0.02477.7182742513179.66345839892873
0.03483.3660459786529.47218576102437
0.04488.4391087585938.75359025118077
0.05492.7195599764857.98928804138334
0.06496.2954262552397.38775777636932
0.07499.3235397203546.91048066191554
0.08501.9380283361466.4911629725511
0.09504.2356406787496.11908583429827
0.1506.2872038982565.81920899839322
0.11508.1502039467995.62023035371527
0.12509.8749619938035.53486932384678
0.13511.5054015483965.55496188754036
0.14513.0774963289725.65738980840234
0.15514.6176859800495.80948767808253
0.16516.1422818463995.9747029173482
0.17517.6580590992966.12011884155901
0.18519.1638607814076.21910493794304
0.19520.6529036800056.25432600229734
0.2522.1154177489526.22272671257793
0.21523.5412266251756.13087968786269
0.22524.9219078981865.99495289911278
0.23526.2522795029365.83699146819983
0.24527.5311262558915.67843602586266
0.25528.7612546897615.53922751603611
0.26529.9490836729235.4358585877482
0.27531.1040065303085.38094416658192
0.28532.2377025395345.38389517002371
0.29533.363471476825.45457487438476
0.3534.4955666081165.59865269240755
0.31535.6484500590835.8184075162514
0.32536.8359048871116.10974330262285
0.33538.0699985894026.46113900198834
0.34539.3599740796286.85242264436602
0.35540.711213588257.25893410094683
0.36542.1244537739097.65116441774615
0.37543.5954161534798.0002238291985
0.38545.1149600443918.27742971420755
0.39546.6697807510968.46422470907426
0.4548.2435841314138.54595487543258
0.41549.8185899741698.51858872590182
0.42551.377166106078.38924526605845
0.43552.9033808444258.17248661849562
0.44554.3842833762587.88956040655793
0.45555.8107729335287.56475750326406
0.46557.17798656347.22297129935023
0.47558.4852083656676.89029141730586
0.48559.7353678833776.58357697253671
0.49560.9342427696866.31946323475152
0.5562.0895061239116.10516180963787
0.51563.2097613886285.94077803220012
0.52564.3036900413425.82580681364585
0.53565.3794041078945.75113308906074
0.54566.4440524083795.70920519678883
0.55567.5036825853155.69328969275529
0.56568.5633168603325.69604246323631
0.57569.6271646872365.71322796546833
0.58570.6988759410195.74436146288297
0.59571.7817380792965.78844173727563
0.6572.8787406838565.84591237549543
0.61573.9924676209165.91526976162079
0.62575.1248233542645.99349054702441
0.63576.2766455863486.07373544851659
0.64577.4472909147746.14584460385386
0.65578.6342954526186.19897146296694
0.66579.8332048061526.2204675003648
0.67581.0376394955826.20123837584173
0.68582.2396201982196.1323985383375
0.69583.4301331132436.01053825561278
0.7584.599881379195.83596482819999
0.71585.7401537296745.61558659641628
0.72586.8437507017835.35721583193363
0.73587.9059372183825.07565487696637
0.74588.9254234019564.78856195098917
0.75589.905389307344.51562356402632
0.76590.8545374123794.28357732458828
0.77591.7880615354724.12170324051215
0.78592.7282689680814.0650368779155
0.79593.7044290029944.14970300410593
0.8594.7513325930634.40299413312024
0.81595.9061448694.82990374525031
0.82597.2035002217235.40222669035528
0.83598.6694182809776.05988004266628
0.84600.3153389642266.71496128900776
0.85602.134056740987.2709687424211
0.86604.0992057915117.63951672762782
0.87606.169026931277.76598106614297
0.88608.2936870379227.64169343033413
0.89610.4241462245097.30468101397706
0.9612.5202933889786.82061328629795
0.91614.5569683033736.26091041494779
0.92616.5275309017875.68567450140226
0.93618.444118217275.15057212938477
0.94620.331262368674.70783931571487
0.95622.2082229395064.36285858178777
0.96624.0606110079324.00203283082389
0.97625.8141597038733.41951620811298
0.98627.3310286329382.51323235340615
0.99628.4391846332841.52027984512319



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')