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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 computationFri, 17 Apr 2009 04:36:04 -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/2009/Apr/17/t12399646527wjdt781om36qwa.htm/, Retrieved Fri, 10 May 2024 12:53:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39242, Retrieved Fri, 10 May 2024 12:53:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact271

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] [Harrel-Davis perc...] [2009-04-17 10:36:04] [8066ce735b3f8beadb711a8680cf7d00] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
528

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39242&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39242&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39242&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01472.3185166314819.2106850684142
0.02477.5342067064199.59304693116558
0.03483.0502784872269.30178844641429
0.04487.95761623448.3845037689694
0.05492.0065068941927.32884601597172
0.06495.2691747931846.4230713789736
0.07497.9095008178255.70663525146093
0.08500.0829973693185.13680302552526
0.09501.9089979196684.67436340355095
0.1503.4724869726384.29029356212846
0.11504.834105130993.96919195956356
0.12506.0398416371433.71294089466543
0.13507.1280472053543.53656377169622
0.14508.1335201297033.45969239963075
0.15509.0890501128793.49468867313633
0.16510.0251472796753.63901694952377
0.17510.9688828877033.87768180926687
0.18511.9426972966534.18923704825326
0.19512.9637170531714.55080940121295
0.2514.0437371381344.94422523666981
0.21515.1897336903315.35405230191712
0.22516.4046518611655.76690532991719
0.23517.6882427136746.17237174697556
0.24519.037828741956.56082941280858
0.25520.4489807616136.92309873913359
0.26521.9161394309297.25436837695197
0.27523.4332039905337.55304265466678
0.28524.994064657797.82114985120758
0.29526.5930127998558.0625800430197
0.3528.2249550091578.2830949707163
0.31529.8853912518378.4858694255647
0.32531.5701779620428.6703472783913
0.33533.2751566343748.83369125276177
0.34534.9957620265598.97029044739107
0.35536.7267201380889.0730295823084
0.36538.4619099201919.13589660870121
0.37540.1944110598199.15448037156986
0.38541.9167125962149.12591521000017
0.39543.6210273580959.04957863019756
0.4545.2996494023338.92773534017729
0.41546.9453012547538.76308649229168
0.42548.5514358153388.56075764890797
0.43550.112475704428.32552430591237
0.44551.6239855954668.06478765153202
0.45553.082779926567.78531219708322
0.46554.4869713046887.49407602794575
0.47555.8359664796417.19998755182506
0.48557.1304184362416.909425617008
0.49558.3721448686866.6282866623206
0.5559.5640241178196.3630456283671
0.51560.709878832266.11780740391517
0.52561.8143553484075.89745443693113
0.53562.8828041464425.70610836682319
0.54563.9211649544125.54557803176639
0.55564.9358595954855.42128794660197
0.56565.9336956772775.33158302667167
0.57566.9217828615355.27901792526455
0.58567.9074588571055.26532652513383
0.59568.8982138284335.28903382647358
0.6569.90159115735.35119541337257
0.61570.9250332058735.44933772304129
0.62571.9756378872335.58296563324857
0.63573.0597998779345.74635851402043
0.64574.182731150175.93438748156283
0.65575.3478873000386.13463039540003
0.66576.5563630757896.33381558737226
0.67577.8063539509876.51407014146542
0.68579.0928014057226.657321765794
0.69580.4073408227636.74605440622566
0.7581.7386500799166.76347575128391
0.71583.0732569214026.70110685300422
0.72584.3968112223736.55604761188336
0.73585.6957726111516.33441989943364
0.74586.9594094665196.05223828544466
0.75588.1819498808175.73641202307594
0.76589.364659785415.42244965910815
0.77590.517539259795.15559136189113
0.78591.6602303708144.9863643579069
0.79592.8216539788084.96564624922504
0.8594.0379107201265.13120315543199
0.81595.3481845338635.49049164544569
0.82596.7888380702446.01227102627317
0.83598.3865497225746.62597561932591
0.84600.1520160352537.23398785805528
0.85602.0760942462877.73135573851017
0.86604.129947234258.0287557760606
0.87606.2696711059348.07419628223135
0.88608.4443738330577.86645310935283
0.89610.6054877810557.45143781345226
0.9612.7149831090586.90131503783966
0.91614.751132779336.29097675729794
0.92616.7114706213445.68290140046013
0.93618.6120260683675.13277581917094
0.94620.4797159424814.68819362664879
0.95622.3340265962014.34400250984649
0.96624.1595580415423.97766473881327
0.97625.8822434209963.38760583601329
0.98627.3677909437932.48421051496160
0.99628.4509023406451.50799181529399

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 472.318516631481 & 9.2106850684142 \tabularnewline
0.02 & 477.534206706419 & 9.59304693116558 \tabularnewline
0.03 & 483.050278487226 & 9.30178844641429 \tabularnewline
0.04 & 487.9576162344 & 8.3845037689694 \tabularnewline
0.05 & 492.006506894192 & 7.32884601597172 \tabularnewline
0.06 & 495.269174793184 & 6.4230713789736 \tabularnewline
0.07 & 497.909500817825 & 5.70663525146093 \tabularnewline
0.08 & 500.082997369318 & 5.13680302552526 \tabularnewline
0.09 & 501.908997919668 & 4.67436340355095 \tabularnewline
0.1 & 503.472486972638 & 4.29029356212846 \tabularnewline
0.11 & 504.83410513099 & 3.96919195956356 \tabularnewline
0.12 & 506.039841637143 & 3.71294089466543 \tabularnewline
0.13 & 507.128047205354 & 3.53656377169622 \tabularnewline
0.14 & 508.133520129703 & 3.45969239963075 \tabularnewline
0.15 & 509.089050112879 & 3.49468867313633 \tabularnewline
0.16 & 510.025147279675 & 3.63901694952377 \tabularnewline
0.17 & 510.968882887703 & 3.87768180926687 \tabularnewline
0.18 & 511.942697296653 & 4.18923704825326 \tabularnewline
0.19 & 512.963717053171 & 4.55080940121295 \tabularnewline
0.2 & 514.043737138134 & 4.94422523666981 \tabularnewline
0.21 & 515.189733690331 & 5.35405230191712 \tabularnewline
0.22 & 516.404651861165 & 5.76690532991719 \tabularnewline
0.23 & 517.688242713674 & 6.17237174697556 \tabularnewline
0.24 & 519.03782874195 & 6.56082941280858 \tabularnewline
0.25 & 520.448980761613 & 6.92309873913359 \tabularnewline
0.26 & 521.916139430929 & 7.25436837695197 \tabularnewline
0.27 & 523.433203990533 & 7.55304265466678 \tabularnewline
0.28 & 524.99406465779 & 7.82114985120758 \tabularnewline
0.29 & 526.593012799855 & 8.0625800430197 \tabularnewline
0.3 & 528.224955009157 & 8.2830949707163 \tabularnewline
0.31 & 529.885391251837 & 8.4858694255647 \tabularnewline
0.32 & 531.570177962042 & 8.6703472783913 \tabularnewline
0.33 & 533.275156634374 & 8.83369125276177 \tabularnewline
0.34 & 534.995762026559 & 8.97029044739107 \tabularnewline
0.35 & 536.726720138088 & 9.0730295823084 \tabularnewline
0.36 & 538.461909920191 & 9.13589660870121 \tabularnewline
0.37 & 540.194411059819 & 9.15448037156986 \tabularnewline
0.38 & 541.916712596214 & 9.12591521000017 \tabularnewline
0.39 & 543.621027358095 & 9.04957863019756 \tabularnewline
0.4 & 545.299649402333 & 8.92773534017729 \tabularnewline
0.41 & 546.945301254753 & 8.76308649229168 \tabularnewline
0.42 & 548.551435815338 & 8.56075764890797 \tabularnewline
0.43 & 550.11247570442 & 8.32552430591237 \tabularnewline
0.44 & 551.623985595466 & 8.06478765153202 \tabularnewline
0.45 & 553.08277992656 & 7.78531219708322 \tabularnewline
0.46 & 554.486971304688 & 7.49407602794575 \tabularnewline
0.47 & 555.835966479641 & 7.19998755182506 \tabularnewline
0.48 & 557.130418436241 & 6.909425617008 \tabularnewline
0.49 & 558.372144868686 & 6.6282866623206 \tabularnewline
0.5 & 559.564024117819 & 6.3630456283671 \tabularnewline
0.51 & 560.70987883226 & 6.11780740391517 \tabularnewline
0.52 & 561.814355348407 & 5.89745443693113 \tabularnewline
0.53 & 562.882804146442 & 5.70610836682319 \tabularnewline
0.54 & 563.921164954412 & 5.54557803176639 \tabularnewline
0.55 & 564.935859595485 & 5.42128794660197 \tabularnewline
0.56 & 565.933695677277 & 5.33158302667167 \tabularnewline
0.57 & 566.921782861535 & 5.27901792526455 \tabularnewline
0.58 & 567.907458857105 & 5.26532652513383 \tabularnewline
0.59 & 568.898213828433 & 5.28903382647358 \tabularnewline
0.6 & 569.9015911573 & 5.35119541337257 \tabularnewline
0.61 & 570.925033205873 & 5.44933772304129 \tabularnewline
0.62 & 571.975637887233 & 5.58296563324857 \tabularnewline
0.63 & 573.059799877934 & 5.74635851402043 \tabularnewline
0.64 & 574.18273115017 & 5.93438748156283 \tabularnewline
0.65 & 575.347887300038 & 6.13463039540003 \tabularnewline
0.66 & 576.556363075789 & 6.33381558737226 \tabularnewline
0.67 & 577.806353950987 & 6.51407014146542 \tabularnewline
0.68 & 579.092801405722 & 6.657321765794 \tabularnewline
0.69 & 580.407340822763 & 6.74605440622566 \tabularnewline
0.7 & 581.738650079916 & 6.76347575128391 \tabularnewline
0.71 & 583.073256921402 & 6.70110685300422 \tabularnewline
0.72 & 584.396811222373 & 6.55604761188336 \tabularnewline
0.73 & 585.695772611151 & 6.33441989943364 \tabularnewline
0.74 & 586.959409466519 & 6.05223828544466 \tabularnewline
0.75 & 588.181949880817 & 5.73641202307594 \tabularnewline
0.76 & 589.36465978541 & 5.42244965910815 \tabularnewline
0.77 & 590.51753925979 & 5.15559136189113 \tabularnewline
0.78 & 591.660230370814 & 4.9863643579069 \tabularnewline
0.79 & 592.821653978808 & 4.96564624922504 \tabularnewline
0.8 & 594.037910720126 & 5.13120315543199 \tabularnewline
0.81 & 595.348184533863 & 5.49049164544569 \tabularnewline
0.82 & 596.788838070244 & 6.01227102627317 \tabularnewline
0.83 & 598.386549722574 & 6.62597561932591 \tabularnewline
0.84 & 600.152016035253 & 7.23398785805528 \tabularnewline
0.85 & 602.076094246287 & 7.73135573851017 \tabularnewline
0.86 & 604.12994723425 & 8.0287557760606 \tabularnewline
0.87 & 606.269671105934 & 8.07419628223135 \tabularnewline
0.88 & 608.444373833057 & 7.86645310935283 \tabularnewline
0.89 & 610.605487781055 & 7.45143781345226 \tabularnewline
0.9 & 612.714983109058 & 6.90131503783966 \tabularnewline
0.91 & 614.75113277933 & 6.29097675729794 \tabularnewline
0.92 & 616.711470621344 & 5.68290140046013 \tabularnewline
0.93 & 618.612026068367 & 5.13277581917094 \tabularnewline
0.94 & 620.479715942481 & 4.68819362664879 \tabularnewline
0.95 & 622.334026596201 & 4.34400250984649 \tabularnewline
0.96 & 624.159558041542 & 3.97766473881327 \tabularnewline
0.97 & 625.882243420996 & 3.38760583601329 \tabularnewline
0.98 & 627.367790943793 & 2.48421051496160 \tabularnewline
0.99 & 628.450902340645 & 1.50799181529399 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39242&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]472.318516631481[/C][C]9.2106850684142[/C][/ROW]
[ROW][C]0.02[/C][C]477.534206706419[/C][C]9.59304693116558[/C][/ROW]
[ROW][C]0.03[/C][C]483.050278487226[/C][C]9.30178844641429[/C][/ROW]
[ROW][C]0.04[/C][C]487.9576162344[/C][C]8.3845037689694[/C][/ROW]
[ROW][C]0.05[/C][C]492.006506894192[/C][C]7.32884601597172[/C][/ROW]
[ROW][C]0.06[/C][C]495.269174793184[/C][C]6.4230713789736[/C][/ROW]
[ROW][C]0.07[/C][C]497.909500817825[/C][C]5.70663525146093[/C][/ROW]
[ROW][C]0.08[/C][C]500.082997369318[/C][C]5.13680302552526[/C][/ROW]
[ROW][C]0.09[/C][C]501.908997919668[/C][C]4.67436340355095[/C][/ROW]
[ROW][C]0.1[/C][C]503.472486972638[/C][C]4.29029356212846[/C][/ROW]
[ROW][C]0.11[/C][C]504.83410513099[/C][C]3.96919195956356[/C][/ROW]
[ROW][C]0.12[/C][C]506.039841637143[/C][C]3.71294089466543[/C][/ROW]
[ROW][C]0.13[/C][C]507.128047205354[/C][C]3.53656377169622[/C][/ROW]
[ROW][C]0.14[/C][C]508.133520129703[/C][C]3.45969239963075[/C][/ROW]
[ROW][C]0.15[/C][C]509.089050112879[/C][C]3.49468867313633[/C][/ROW]
[ROW][C]0.16[/C][C]510.025147279675[/C][C]3.63901694952377[/C][/ROW]
[ROW][C]0.17[/C][C]510.968882887703[/C][C]3.87768180926687[/C][/ROW]
[ROW][C]0.18[/C][C]511.942697296653[/C][C]4.18923704825326[/C][/ROW]
[ROW][C]0.19[/C][C]512.963717053171[/C][C]4.55080940121295[/C][/ROW]
[ROW][C]0.2[/C][C]514.043737138134[/C][C]4.94422523666981[/C][/ROW]
[ROW][C]0.21[/C][C]515.189733690331[/C][C]5.35405230191712[/C][/ROW]
[ROW][C]0.22[/C][C]516.404651861165[/C][C]5.76690532991719[/C][/ROW]
[ROW][C]0.23[/C][C]517.688242713674[/C][C]6.17237174697556[/C][/ROW]
[ROW][C]0.24[/C][C]519.03782874195[/C][C]6.56082941280858[/C][/ROW]
[ROW][C]0.25[/C][C]520.448980761613[/C][C]6.92309873913359[/C][/ROW]
[ROW][C]0.26[/C][C]521.916139430929[/C][C]7.25436837695197[/C][/ROW]
[ROW][C]0.27[/C][C]523.433203990533[/C][C]7.55304265466678[/C][/ROW]
[ROW][C]0.28[/C][C]524.99406465779[/C][C]7.82114985120758[/C][/ROW]
[ROW][C]0.29[/C][C]526.593012799855[/C][C]8.0625800430197[/C][/ROW]
[ROW][C]0.3[/C][C]528.224955009157[/C][C]8.2830949707163[/C][/ROW]
[ROW][C]0.31[/C][C]529.885391251837[/C][C]8.4858694255647[/C][/ROW]
[ROW][C]0.32[/C][C]531.570177962042[/C][C]8.6703472783913[/C][/ROW]
[ROW][C]0.33[/C][C]533.275156634374[/C][C]8.83369125276177[/C][/ROW]
[ROW][C]0.34[/C][C]534.995762026559[/C][C]8.97029044739107[/C][/ROW]
[ROW][C]0.35[/C][C]536.726720138088[/C][C]9.0730295823084[/C][/ROW]
[ROW][C]0.36[/C][C]538.461909920191[/C][C]9.13589660870121[/C][/ROW]
[ROW][C]0.37[/C][C]540.194411059819[/C][C]9.15448037156986[/C][/ROW]
[ROW][C]0.38[/C][C]541.916712596214[/C][C]9.12591521000017[/C][/ROW]
[ROW][C]0.39[/C][C]543.621027358095[/C][C]9.04957863019756[/C][/ROW]
[ROW][C]0.4[/C][C]545.299649402333[/C][C]8.92773534017729[/C][/ROW]
[ROW][C]0.41[/C][C]546.945301254753[/C][C]8.76308649229168[/C][/ROW]
[ROW][C]0.42[/C][C]548.551435815338[/C][C]8.56075764890797[/C][/ROW]
[ROW][C]0.43[/C][C]550.11247570442[/C][C]8.32552430591237[/C][/ROW]
[ROW][C]0.44[/C][C]551.623985595466[/C][C]8.06478765153202[/C][/ROW]
[ROW][C]0.45[/C][C]553.08277992656[/C][C]7.78531219708322[/C][/ROW]
[ROW][C]0.46[/C][C]554.486971304688[/C][C]7.49407602794575[/C][/ROW]
[ROW][C]0.47[/C][C]555.835966479641[/C][C]7.19998755182506[/C][/ROW]
[ROW][C]0.48[/C][C]557.130418436241[/C][C]6.909425617008[/C][/ROW]
[ROW][C]0.49[/C][C]558.372144868686[/C][C]6.6282866623206[/C][/ROW]
[ROW][C]0.5[/C][C]559.564024117819[/C][C]6.3630456283671[/C][/ROW]
[ROW][C]0.51[/C][C]560.70987883226[/C][C]6.11780740391517[/C][/ROW]
[ROW][C]0.52[/C][C]561.814355348407[/C][C]5.89745443693113[/C][/ROW]
[ROW][C]0.53[/C][C]562.882804146442[/C][C]5.70610836682319[/C][/ROW]
[ROW][C]0.54[/C][C]563.921164954412[/C][C]5.54557803176639[/C][/ROW]
[ROW][C]0.55[/C][C]564.935859595485[/C][C]5.42128794660197[/C][/ROW]
[ROW][C]0.56[/C][C]565.933695677277[/C][C]5.33158302667167[/C][/ROW]
[ROW][C]0.57[/C][C]566.921782861535[/C][C]5.27901792526455[/C][/ROW]
[ROW][C]0.58[/C][C]567.907458857105[/C][C]5.26532652513383[/C][/ROW]
[ROW][C]0.59[/C][C]568.898213828433[/C][C]5.28903382647358[/C][/ROW]
[ROW][C]0.6[/C][C]569.9015911573[/C][C]5.35119541337257[/C][/ROW]
[ROW][C]0.61[/C][C]570.925033205873[/C][C]5.44933772304129[/C][/ROW]
[ROW][C]0.62[/C][C]571.975637887233[/C][C]5.58296563324857[/C][/ROW]
[ROW][C]0.63[/C][C]573.059799877934[/C][C]5.74635851402043[/C][/ROW]
[ROW][C]0.64[/C][C]574.18273115017[/C][C]5.93438748156283[/C][/ROW]
[ROW][C]0.65[/C][C]575.347887300038[/C][C]6.13463039540003[/C][/ROW]
[ROW][C]0.66[/C][C]576.556363075789[/C][C]6.33381558737226[/C][/ROW]
[ROW][C]0.67[/C][C]577.806353950987[/C][C]6.51407014146542[/C][/ROW]
[ROW][C]0.68[/C][C]579.092801405722[/C][C]6.657321765794[/C][/ROW]
[ROW][C]0.69[/C][C]580.407340822763[/C][C]6.74605440622566[/C][/ROW]
[ROW][C]0.7[/C][C]581.738650079916[/C][C]6.76347575128391[/C][/ROW]
[ROW][C]0.71[/C][C]583.073256921402[/C][C]6.70110685300422[/C][/ROW]
[ROW][C]0.72[/C][C]584.396811222373[/C][C]6.55604761188336[/C][/ROW]
[ROW][C]0.73[/C][C]585.695772611151[/C][C]6.33441989943364[/C][/ROW]
[ROW][C]0.74[/C][C]586.959409466519[/C][C]6.05223828544466[/C][/ROW]
[ROW][C]0.75[/C][C]588.181949880817[/C][C]5.73641202307594[/C][/ROW]
[ROW][C]0.76[/C][C]589.36465978541[/C][C]5.42244965910815[/C][/ROW]
[ROW][C]0.77[/C][C]590.51753925979[/C][C]5.15559136189113[/C][/ROW]
[ROW][C]0.78[/C][C]591.660230370814[/C][C]4.9863643579069[/C][/ROW]
[ROW][C]0.79[/C][C]592.821653978808[/C][C]4.96564624922504[/C][/ROW]
[ROW][C]0.8[/C][C]594.037910720126[/C][C]5.13120315543199[/C][/ROW]
[ROW][C]0.81[/C][C]595.348184533863[/C][C]5.49049164544569[/C][/ROW]
[ROW][C]0.82[/C][C]596.788838070244[/C][C]6.01227102627317[/C][/ROW]
[ROW][C]0.83[/C][C]598.386549722574[/C][C]6.62597561932591[/C][/ROW]
[ROW][C]0.84[/C][C]600.152016035253[/C][C]7.23398785805528[/C][/ROW]
[ROW][C]0.85[/C][C]602.076094246287[/C][C]7.73135573851017[/C][/ROW]
[ROW][C]0.86[/C][C]604.12994723425[/C][C]8.0287557760606[/C][/ROW]
[ROW][C]0.87[/C][C]606.269671105934[/C][C]8.07419628223135[/C][/ROW]
[ROW][C]0.88[/C][C]608.444373833057[/C][C]7.86645310935283[/C][/ROW]
[ROW][C]0.89[/C][C]610.605487781055[/C][C]7.45143781345226[/C][/ROW]
[ROW][C]0.9[/C][C]612.714983109058[/C][C]6.90131503783966[/C][/ROW]
[ROW][C]0.91[/C][C]614.75113277933[/C][C]6.29097675729794[/C][/ROW]
[ROW][C]0.92[/C][C]616.711470621344[/C][C]5.68290140046013[/C][/ROW]
[ROW][C]0.93[/C][C]618.612026068367[/C][C]5.13277581917094[/C][/ROW]
[ROW][C]0.94[/C][C]620.479715942481[/C][C]4.68819362664879[/C][/ROW]
[ROW][C]0.95[/C][C]622.334026596201[/C][C]4.34400250984649[/C][/ROW]
[ROW][C]0.96[/C][C]624.159558041542[/C][C]3.97766473881327[/C][/ROW]
[ROW][C]0.97[/C][C]625.882243420996[/C][C]3.38760583601329[/C][/ROW]
[ROW][C]0.98[/C][C]627.367790943793[/C][C]2.48421051496160[/C][/ROW]
[ROW][C]0.99[/C][C]628.450902340645[/C][C]1.50799181529399[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39242&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39242&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
0.01472.3185166314819.2106850684142
0.02477.5342067064199.59304693116558
0.03483.0502784872269.30178844641429
0.04487.95761623448.3845037689694
0.05492.0065068941927.32884601597172
0.06495.2691747931846.4230713789736
0.07497.9095008178255.70663525146093
0.08500.0829973693185.13680302552526
0.09501.9089979196684.67436340355095
0.1503.4724869726384.29029356212846
0.11504.834105130993.96919195956356
0.12506.0398416371433.71294089466543
0.13507.1280472053543.53656377169622
0.14508.1335201297033.45969239963075
0.15509.0890501128793.49468867313633
0.16510.0251472796753.63901694952377
0.17510.9688828877033.87768180926687
0.18511.9426972966534.18923704825326
0.19512.9637170531714.55080940121295
0.2514.0437371381344.94422523666981
0.21515.1897336903315.35405230191712
0.22516.4046518611655.76690532991719
0.23517.6882427136746.17237174697556
0.24519.037828741956.56082941280858
0.25520.4489807616136.92309873913359
0.26521.9161394309297.25436837695197
0.27523.4332039905337.55304265466678
0.28524.994064657797.82114985120758
0.29526.5930127998558.0625800430197
0.3528.2249550091578.2830949707163
0.31529.8853912518378.4858694255647
0.32531.5701779620428.6703472783913
0.33533.2751566343748.83369125276177
0.34534.9957620265598.97029044739107
0.35536.7267201380889.0730295823084
0.36538.4619099201919.13589660870121
0.37540.1944110598199.15448037156986
0.38541.9167125962149.12591521000017
0.39543.6210273580959.04957863019756
0.4545.2996494023338.92773534017729
0.41546.9453012547538.76308649229168
0.42548.5514358153388.56075764890797
0.43550.112475704428.32552430591237
0.44551.6239855954668.06478765153202
0.45553.082779926567.78531219708322
0.46554.4869713046887.49407602794575
0.47555.8359664796417.19998755182506
0.48557.1304184362416.909425617008
0.49558.3721448686866.6282866623206
0.5559.5640241178196.3630456283671
0.51560.709878832266.11780740391517
0.52561.8143553484075.89745443693113
0.53562.8828041464425.70610836682319
0.54563.9211649544125.54557803176639
0.55564.9358595954855.42128794660197
0.56565.9336956772775.33158302667167
0.57566.9217828615355.27901792526455
0.58567.9074588571055.26532652513383
0.59568.8982138284335.28903382647358
0.6569.90159115735.35119541337257
0.61570.9250332058735.44933772304129
0.62571.9756378872335.58296563324857
0.63573.0597998779345.74635851402043
0.64574.182731150175.93438748156283
0.65575.3478873000386.13463039540003
0.66576.5563630757896.33381558737226
0.67577.8063539509876.51407014146542
0.68579.0928014057226.657321765794
0.69580.4073408227636.74605440622566
0.7581.7386500799166.76347575128391
0.71583.0732569214026.70110685300422
0.72584.3968112223736.55604761188336
0.73585.6957726111516.33441989943364
0.74586.9594094665196.05223828544466
0.75588.1819498808175.73641202307594
0.76589.364659785415.42244965910815
0.77590.517539259795.15559136189113
0.78591.6602303708144.9863643579069
0.79592.8216539788084.96564624922504
0.8594.0379107201265.13120315543199
0.81595.3481845338635.49049164544569
0.82596.7888380702446.01227102627317
0.83598.3865497225746.62597561932591
0.84600.1520160352537.23398785805528
0.85602.0760942462877.73135573851017
0.86604.129947234258.0287557760606
0.87606.2696711059348.07419628223135
0.88608.4443738330577.86645310935283
0.89610.6054877810557.45143781345226
0.9612.7149831090586.90131503783966
0.91614.751132779336.29097675729794
0.92616.7114706213445.68290140046013
0.93618.6120260683675.13277581917094
0.94620.4797159424814.68819362664879
0.95622.3340265962014.34400250984649
0.96624.1595580415423.97766473881327
0.97625.8822434209963.38760583601329
0.98627.3677909437932.48421051496160
0.99628.4509023406451.50799181529399


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')