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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 computationSun, 08 Mar 2009 07:27:15 -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/Mar/08/t12365188729iq8d88ex4qi4kp.htm/, Retrieved Sun, 28 Apr 2024 00:13:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38674, Retrieved Sun, 28 Apr 2024 00:13:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

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 deci...] [2009-03-06 07:16:09] [74be16979710d4c4e7c6647856088456]
-   PD    [Harrell-Davis Quantiles] [Kim Van Assche Pe...] [2009-03-08 13:27:15] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

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

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'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=38674&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=38674&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38674&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01472.3185166310079.21068506841421
0.02477.5342066991119.59304693116558
0.03483.0502784232419.3017884464143
0.04487.9576158288678.3845037689694
0.05492.0065048473337.32889217796328
0.06495.2691661343836.42301981009981
0.07497.9094691257875.70652463335022
0.08500.0828948062125.13661777901896
0.09501.9086997803374.67346658122989
0.1503.4716991653784.28830959468897
0.11504.8321950210823.964406585803
0.12506.0355600477013.70207854205509
0.13507.1191193573963.51425156639549
0.14508.116112931023.41716175908412
0.15509.0571748004083.41972549339304
0.16509.9701227712133.51648646328288
0.17510.879047126533.69080856213817
0.18511.8035831280943.92277640061287
0.19512.7588777103014.19535797705544
0.2513.7562996948184.50049604512749
0.21514.8045875522644.83622135657255
0.22515.9109829711415.20543035528601
0.23517.0819621883325.61142190703781
0.24518.3233771890296.05259928669809
0.25519.6400537677986.52095589944882
0.26521.0350728923037.00190727081698
0.27522.5090345095537.47820433839859
0.28524.0595654477557.93118526007496
0.29525.6812206306678.34403398944482
0.3527.36579222298.70502692849126
0.31529.1029320559739.0046945721539
0.32530.8809355563889.23895244864109
0.33532.6875328500499.40775417503417
0.34534.5105692280999.51328847662623
0.35536.338510329549.55918946205036
0.36538.1607578906749.55036323251914
0.37539.9677986615599.4924913297624
0.38541.7512293632799.39103415136638
0.39543.50370687289.2492918694239
0.4545.2188693524349.07283015237631
0.41546.8912644058978.86512876457434
0.42548.5163071617028.62977658924666
0.43550.0902766942148.37096185883044
0.44551.6103458370458.09363393836181
0.45553.0746297582767.80320291176218
0.46554.4822345067967.50469827443754
0.47555.8332884284377.20606563040761
0.48557.1289454051216.91295327874296
0.49558.3713565654936.63015164898107
0.5559.5636136507156.36404281687451
0.51560.7096708775776.11835953225262
0.52561.8142528417325.89771366942982
0.53562.8827549874665.70624937849431
0.54563.9211420203355.54578781886343
0.55564.9358491882725.42123649401903
0.56565.9336910842855.33158029539411
0.57566.9217808905425.27901792526455
0.58567.9074580348465.26532652513383
0.59568.8982134950385.28903382647358
0.6569.9015910259555.35119541337257
0.61570.9250331556115.44933772304129
0.62571.9756378685565.58296563324857
0.63573.0597998711985.74635851402043
0.64574.1827311478135.93438748156283
0.65575.3478872992386.13463039540003
0.66576.5563630755266.33381558737226
0.67577.8063539509046.51407014146542
0.68579.0928014056966.657321765794
0.69580.4073408227556.74605440622566
0.7581.7386500799146.76347575128391
0.71583.0732569214016.70110685300422
0.72584.3968112223736.55604761188336
0.73585.6957726111516.33441989943364
0.74586.9594094665196.05223828544466
0.75588.1819498808175.73641202307594
0.76589.3646597854095.42244965910815
0.77590.517539259795.15559136189113
0.78591.6602303708144.9863643579069
0.79592.8216539788084.96564624922504
0.8594.0379107201265.13120315543199
0.81595.3481845338635.49049164544569
0.82596.7888380702446.01227102627317
0.83598.3865497225746.6259756193259
0.84600.1520160352547.23398785805528
0.85602.0760942462887.73135573851017
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
0.93618.6120260683685.13277581917094
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 & 472.318516631007 & 9.21068506841421 \tabularnewline
0.02 & 477.534206699111 & 9.59304693116558 \tabularnewline
0.03 & 483.050278423241 & 9.3017884464143 \tabularnewline
0.04 & 487.957615828867 & 8.3845037689694 \tabularnewline
0.05 & 492.006504847333 & 7.32889217796328 \tabularnewline
0.06 & 495.269166134383 & 6.42301981009981 \tabularnewline
0.07 & 497.909469125787 & 5.70652463335022 \tabularnewline
0.08 & 500.082894806212 & 5.13661777901896 \tabularnewline
0.09 & 501.908699780337 & 4.67346658122989 \tabularnewline
0.1 & 503.471699165378 & 4.28830959468897 \tabularnewline
0.11 & 504.832195021082 & 3.964406585803 \tabularnewline
0.12 & 506.035560047701 & 3.70207854205509 \tabularnewline
0.13 & 507.119119357396 & 3.51425156639549 \tabularnewline
0.14 & 508.11611293102 & 3.41716175908412 \tabularnewline
0.15 & 509.057174800408 & 3.41972549339304 \tabularnewline
0.16 & 509.970122771213 & 3.51648646328288 \tabularnewline
0.17 & 510.87904712653 & 3.69080856213817 \tabularnewline
0.18 & 511.803583128094 & 3.92277640061287 \tabularnewline
0.19 & 512.758877710301 & 4.19535797705544 \tabularnewline
0.2 & 513.756299694818 & 4.50049604512749 \tabularnewline
0.21 & 514.804587552264 & 4.83622135657255 \tabularnewline
0.22 & 515.910982971141 & 5.20543035528601 \tabularnewline
0.23 & 517.081962188332 & 5.61142190703781 \tabularnewline
0.24 & 518.323377189029 & 6.05259928669809 \tabularnewline
0.25 & 519.640053767798 & 6.52095589944882 \tabularnewline
0.26 & 521.035072892303 & 7.00190727081698 \tabularnewline
0.27 & 522.509034509553 & 7.47820433839859 \tabularnewline
0.28 & 524.059565447755 & 7.93118526007496 \tabularnewline
0.29 & 525.681220630667 & 8.34403398944482 \tabularnewline
0.3 & 527.3657922229 & 8.70502692849126 \tabularnewline
0.31 & 529.102932055973 & 9.0046945721539 \tabularnewline
0.32 & 530.880935556388 & 9.23895244864109 \tabularnewline
0.33 & 532.687532850049 & 9.40775417503417 \tabularnewline
0.34 & 534.510569228099 & 9.51328847662623 \tabularnewline
0.35 & 536.33851032954 & 9.55918946205036 \tabularnewline
0.36 & 538.160757890674 & 9.55036323251914 \tabularnewline
0.37 & 539.967798661559 & 9.4924913297624 \tabularnewline
0.38 & 541.751229363279 & 9.39103415136638 \tabularnewline
0.39 & 543.5037068728 & 9.2492918694239 \tabularnewline
0.4 & 545.218869352434 & 9.07283015237631 \tabularnewline
0.41 & 546.891264405897 & 8.86512876457434 \tabularnewline
0.42 & 548.516307161702 & 8.62977658924666 \tabularnewline
0.43 & 550.090276694214 & 8.37096185883044 \tabularnewline
0.44 & 551.610345837045 & 8.09363393836181 \tabularnewline
0.45 & 553.074629758276 & 7.80320291176218 \tabularnewline
0.46 & 554.482234506796 & 7.50469827443754 \tabularnewline
0.47 & 555.833288428437 & 7.20606563040761 \tabularnewline
0.48 & 557.128945405121 & 6.91295327874296 \tabularnewline
0.49 & 558.371356565493 & 6.63015164898107 \tabularnewline
0.5 & 559.563613650715 & 6.36404281687451 \tabularnewline
0.51 & 560.709670877577 & 6.11835953225262 \tabularnewline
0.52 & 561.814252841732 & 5.89771366942982 \tabularnewline
0.53 & 562.882754987466 & 5.70624937849431 \tabularnewline
0.54 & 563.921142020335 & 5.54578781886343 \tabularnewline
0.55 & 564.935849188272 & 5.42123649401903 \tabularnewline
0.56 & 565.933691084285 & 5.33158029539411 \tabularnewline
0.57 & 566.921780890542 & 5.27901792526455 \tabularnewline
0.58 & 567.907458034846 & 5.26532652513383 \tabularnewline
0.59 & 568.898213495038 & 5.28903382647358 \tabularnewline
0.6 & 569.901591025955 & 5.35119541337257 \tabularnewline
0.61 & 570.925033155611 & 5.44933772304129 \tabularnewline
0.62 & 571.975637868556 & 5.58296563324857 \tabularnewline
0.63 & 573.059799871198 & 5.74635851402043 \tabularnewline
0.64 & 574.182731147813 & 5.93438748156283 \tabularnewline
0.65 & 575.347887299238 & 6.13463039540003 \tabularnewline
0.66 & 576.556363075526 & 6.33381558737226 \tabularnewline
0.67 & 577.806353950904 & 6.51407014146542 \tabularnewline
0.68 & 579.092801405696 & 6.657321765794 \tabularnewline
0.69 & 580.407340822755 & 6.74605440622566 \tabularnewline
0.7 & 581.738650079914 & 6.76347575128391 \tabularnewline
0.71 & 583.073256921401 & 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 & 589.364659785409 & 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 & 6.6259756193259 \tabularnewline
0.84 & 600.152016035254 & 7.23398785805528 \tabularnewline
0.85 & 602.076094246288 & 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 & 618.612026068368 & 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=38674&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]472.318516631007[/C][C]9.21068506841421[/C][/ROW]
[ROW][C]0.02[/C][C]477.534206699111[/C][C]9.59304693116558[/C][/ROW]
[ROW][C]0.03[/C][C]483.050278423241[/C][C]9.3017884464143[/C][/ROW]
[ROW][C]0.04[/C][C]487.957615828867[/C][C]8.3845037689694[/C][/ROW]
[ROW][C]0.05[/C][C]492.006504847333[/C][C]7.32889217796328[/C][/ROW]
[ROW][C]0.06[/C][C]495.269166134383[/C][C]6.42301981009981[/C][/ROW]
[ROW][C]0.07[/C][C]497.909469125787[/C][C]5.70652463335022[/C][/ROW]
[ROW][C]0.08[/C][C]500.082894806212[/C][C]5.13661777901896[/C][/ROW]
[ROW][C]0.09[/C][C]501.908699780337[/C][C]4.67346658122989[/C][/ROW]
[ROW][C]0.1[/C][C]503.471699165378[/C][C]4.28830959468897[/C][/ROW]
[ROW][C]0.11[/C][C]504.832195021082[/C][C]3.964406585803[/C][/ROW]
[ROW][C]0.12[/C][C]506.035560047701[/C][C]3.70207854205509[/C][/ROW]
[ROW][C]0.13[/C][C]507.119119357396[/C][C]3.51425156639549[/C][/ROW]
[ROW][C]0.14[/C][C]508.11611293102[/C][C]3.41716175908412[/C][/ROW]
[ROW][C]0.15[/C][C]509.057174800408[/C][C]3.41972549339304[/C][/ROW]
[ROW][C]0.16[/C][C]509.970122771213[/C][C]3.51648646328288[/C][/ROW]
[ROW][C]0.17[/C][C]510.87904712653[/C][C]3.69080856213817[/C][/ROW]
[ROW][C]0.18[/C][C]511.803583128094[/C][C]3.92277640061287[/C][/ROW]
[ROW][C]0.19[/C][C]512.758877710301[/C][C]4.19535797705544[/C][/ROW]
[ROW][C]0.2[/C][C]513.756299694818[/C][C]4.50049604512749[/C][/ROW]
[ROW][C]0.21[/C][C]514.804587552264[/C][C]4.83622135657255[/C][/ROW]
[ROW][C]0.22[/C][C]515.910982971141[/C][C]5.20543035528601[/C][/ROW]
[ROW][C]0.23[/C][C]517.081962188332[/C][C]5.61142190703781[/C][/ROW]
[ROW][C]0.24[/C][C]518.323377189029[/C][C]6.05259928669809[/C][/ROW]
[ROW][C]0.25[/C][C]519.640053767798[/C][C]6.52095589944882[/C][/ROW]
[ROW][C]0.26[/C][C]521.035072892303[/C][C]7.00190727081698[/C][/ROW]
[ROW][C]0.27[/C][C]522.509034509553[/C][C]7.47820433839859[/C][/ROW]
[ROW][C]0.28[/C][C]524.059565447755[/C][C]7.93118526007496[/C][/ROW]
[ROW][C]0.29[/C][C]525.681220630667[/C][C]8.34403398944482[/C][/ROW]
[ROW][C]0.3[/C][C]527.3657922229[/C][C]8.70502692849126[/C][/ROW]
[ROW][C]0.31[/C][C]529.102932055973[/C][C]9.0046945721539[/C][/ROW]
[ROW][C]0.32[/C][C]530.880935556388[/C][C]9.23895244864109[/C][/ROW]
[ROW][C]0.33[/C][C]532.687532850049[/C][C]9.40775417503417[/C][/ROW]
[ROW][C]0.34[/C][C]534.510569228099[/C][C]9.51328847662623[/C][/ROW]
[ROW][C]0.35[/C][C]536.33851032954[/C][C]9.55918946205036[/C][/ROW]
[ROW][C]0.36[/C][C]538.160757890674[/C][C]9.55036323251914[/C][/ROW]
[ROW][C]0.37[/C][C]539.967798661559[/C][C]9.4924913297624[/C][/ROW]
[ROW][C]0.38[/C][C]541.751229363279[/C][C]9.39103415136638[/C][/ROW]
[ROW][C]0.39[/C][C]543.5037068728[/C][C]9.2492918694239[/C][/ROW]
[ROW][C]0.4[/C][C]545.218869352434[/C][C]9.07283015237631[/C][/ROW]
[ROW][C]0.41[/C][C]546.891264405897[/C][C]8.86512876457434[/C][/ROW]
[ROW][C]0.42[/C][C]548.516307161702[/C][C]8.62977658924666[/C][/ROW]
[ROW][C]0.43[/C][C]550.090276694214[/C][C]8.37096185883044[/C][/ROW]
[ROW][C]0.44[/C][C]551.610345837045[/C][C]8.09363393836181[/C][/ROW]
[ROW][C]0.45[/C][C]553.074629758276[/C][C]7.80320291176218[/C][/ROW]
[ROW][C]0.46[/C][C]554.482234506796[/C][C]7.50469827443754[/C][/ROW]
[ROW][C]0.47[/C][C]555.833288428437[/C][C]7.20606563040761[/C][/ROW]
[ROW][C]0.48[/C][C]557.128945405121[/C][C]6.91295327874296[/C][/ROW]
[ROW][C]0.49[/C][C]558.371356565493[/C][C]6.63015164898107[/C][/ROW]
[ROW][C]0.5[/C][C]559.563613650715[/C][C]6.36404281687451[/C][/ROW]
[ROW][C]0.51[/C][C]560.709670877577[/C][C]6.11835953225262[/C][/ROW]
[ROW][C]0.52[/C][C]561.814252841732[/C][C]5.89771366942982[/C][/ROW]
[ROW][C]0.53[/C][C]562.882754987466[/C][C]5.70624937849431[/C][/ROW]
[ROW][C]0.54[/C][C]563.921142020335[/C][C]5.54578781886343[/C][/ROW]
[ROW][C]0.55[/C][C]564.935849188272[/C][C]5.42123649401903[/C][/ROW]
[ROW][C]0.56[/C][C]565.933691084285[/C][C]5.33158029539411[/C][/ROW]
[ROW][C]0.57[/C][C]566.921780890542[/C][C]5.27901792526455[/C][/ROW]
[ROW][C]0.58[/C][C]567.907458034846[/C][C]5.26532652513383[/C][/ROW]
[ROW][C]0.59[/C][C]568.898213495038[/C][C]5.28903382647358[/C][/ROW]
[ROW][C]0.6[/C][C]569.901591025955[/C][C]5.35119541337257[/C][/ROW]
[ROW][C]0.61[/C][C]570.925033155611[/C][C]5.44933772304129[/C][/ROW]
[ROW][C]0.62[/C][C]571.975637868556[/C][C]5.58296563324857[/C][/ROW]
[ROW][C]0.63[/C][C]573.059799871198[/C][C]5.74635851402043[/C][/ROW]
[ROW][C]0.64[/C][C]574.182731147813[/C][C]5.93438748156283[/C][/ROW]
[ROW][C]0.65[/C][C]575.347887299238[/C][C]6.13463039540003[/C][/ROW]
[ROW][C]0.66[/C][C]576.556363075526[/C][C]6.33381558737226[/C][/ROW]
[ROW][C]0.67[/C][C]577.806353950904[/C][C]6.51407014146542[/C][/ROW]
[ROW][C]0.68[/C][C]579.092801405696[/C][C]6.657321765794[/C][/ROW]
[ROW][C]0.69[/C][C]580.407340822755[/C][C]6.74605440622566[/C][/ROW]
[ROW][C]0.7[/C][C]581.738650079914[/C][C]6.76347575128391[/C][/ROW]
[ROW][C]0.71[/C][C]583.073256921401[/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]589.364659785409[/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]6.6259756193259[/C][/ROW]
[ROW][C]0.84[/C][C]600.152016035254[/C][C]7.23398785805528[/C][/ROW]
[ROW][C]0.85[/C][C]602.076094246288[/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]618.612026068368[/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=38674&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38674&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
0.01472.3185166310079.21068506841421
0.02477.5342066991119.59304693116558
0.03483.0502784232419.3017884464143
0.04487.9576158288678.3845037689694
0.05492.0065048473337.32889217796328
0.06495.2691661343836.42301981009981
0.07497.9094691257875.70652463335022
0.08500.0828948062125.13661777901896
0.09501.9086997803374.67346658122989
0.1503.4716991653784.28830959468897
0.11504.8321950210823.964406585803
0.12506.0355600477013.70207854205509
0.13507.1191193573963.51425156639549
0.14508.116112931023.41716175908412
0.15509.0571748004083.41972549339304
0.16509.9701227712133.51648646328288
0.17510.879047126533.69080856213817
0.18511.8035831280943.92277640061287
0.19512.7588777103014.19535797705544
0.2513.7562996948184.50049604512749
0.21514.8045875522644.83622135657255
0.22515.9109829711415.20543035528601
0.23517.0819621883325.61142190703781
0.24518.3233771890296.05259928669809
0.25519.6400537677986.52095589944882
0.26521.0350728923037.00190727081698
0.27522.5090345095537.47820433839859
0.28524.0595654477557.93118526007496
0.29525.6812206306678.34403398944482
0.3527.36579222298.70502692849126
0.31529.1029320559739.0046945721539
0.32530.8809355563889.23895244864109
0.33532.6875328500499.40775417503417
0.34534.5105692280999.51328847662623
0.35536.338510329549.55918946205036
0.36538.1607578906749.55036323251914
0.37539.9677986615599.4924913297624
0.38541.7512293632799.39103415136638
0.39543.50370687289.2492918694239
0.4545.2188693524349.07283015237631
0.41546.8912644058978.86512876457434
0.42548.5163071617028.62977658924666
0.43550.0902766942148.37096185883044
0.44551.6103458370458.09363393836181
0.45553.0746297582767.80320291176218
0.46554.4822345067967.50469827443754
0.47555.8332884284377.20606563040761
0.48557.1289454051216.91295327874296
0.49558.3713565654936.63015164898107
0.5559.5636136507156.36404281687451
0.51560.7096708775776.11835953225262
0.52561.8142528417325.89771366942982
0.53562.8827549874665.70624937849431
0.54563.9211420203355.54578781886343
0.55564.9358491882725.42123649401903
0.56565.9336910842855.33158029539411
0.57566.9217808905425.27901792526455
0.58567.9074580348465.26532652513383
0.59568.8982134950385.28903382647358
0.6569.9015910259555.35119541337257
0.61570.9250331556115.44933772304129
0.62571.9756378685565.58296563324857
0.63573.0597998711985.74635851402043
0.64574.1827311478135.93438748156283
0.65575.3478872992386.13463039540003
0.66576.5563630755266.33381558737226
0.67577.8063539509046.51407014146542
0.68579.0928014056966.657321765794
0.69580.4073408227556.74605440622566
0.7581.7386500799146.76347575128391
0.71583.0732569214016.70110685300422
0.72584.3968112223736.55604761188336
0.73585.6957726111516.33441989943364
0.74586.9594094665196.05223828544466
0.75588.1819498808175.73641202307594
0.76589.3646597854095.42244965910815
0.77590.517539259795.15559136189113
0.78591.6602303708144.9863643579069
0.79592.8216539788084.96564624922504
0.8594.0379107201265.13120315543199
0.81595.3481845338635.49049164544569
0.82596.7888380702446.01227102627317
0.83598.3865497225746.6259756193259
0.84600.1520160352547.23398785805528
0.85602.0760942462887.73135573851017
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
0.93618.6120260683685.13277581917094
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')