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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 computationTue, 07 Oct 2014 18:53:24 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/07/t1412704465btrvbfrlf0dtylx.htm/, Retrieved Fri, 10 May 2024 21:04:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239281, Retrieved Fri, 10 May 2024 21:04:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

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] [Woongebouwen Vlaa...] [2014-10-07 17:53:24] [8ab2f7883acfec92c4c89513940c9803] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
876
819
610
757
840
745
662
563
624
588
754
705
661
737
542
709
787
689
601
467
555
471
718
676
700
781
596
779
727
692
560
517
572
491
639
585
596
617
445
615
571
592
580
487
540
546
649
620
593
528
492
570
592
512
475
405
540
472
567
538
508
578
466
540
515
550
485
355
386
365
417
356

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' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239281&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239281&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239281&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01356.7161127877374.97591601349409
0.02361.00435881649711.7018471750488
0.03368.07378410124118.6775418367148
0.04377.48226912938424.4545174798577
0.05388.46143537418928.5574447498446
0.06400.20833777215131.005903361416
0.07412.03459888849931.9063086108832
0.08423.4019401999331.3512675075077
0.09433.9157236123329.5161115540691
0.1443.32052746262726.7436868996512
0.11451.50217188206523.5216923595422
0.12458.48205542584220.3714870378539
0.13464.39340710757417.7271812466832
0.14469.44145514656715.8492441254674
0.15473.85831074574114.7944192531334
0.16477.86429774401814.4524949626338
0.17481.64274744474714.6282152595763
0.18485.32923903353215.1215576003206
0.19489.01202637650315.770880215044
0.2492.73889532700516.4534745239426
0.21496.52630259471817.0823463495548
0.22500.36818216896617.5940407190362
0.23504.24331105215317.9456014181792
0.24508.12113421110618.1106292389395
0.25511.96640406843218.0777364709327
0.26515.74304848628117.8506673234155
0.27519.41753685020217.4461497474385
0.28522.96181183458916.8961744673761
0.29526.35567875324916.2426550385918
0.3529.58843814877615.5392417659221
0.31532.65953186071814.8427982001957
0.32535.57805292834914.2078633004249
0.33538.36112876092713.6808283703715
0.34541.03138485511613.2888359203445
0.35543.6138768095613.037215080686
0.36546.13298638325112.91052233871
0.37548.60977777209412.8772929562175
0.38551.0602002399812.8998239646624
0.39553.49433240699212.9384364880544
0.4555.91664323698212.9624433195506
0.41558.32705113003612.9527222035548
0.42560.7224396915112.90105515581
0.43563.09825818757412.8084242841528
0.44565.44989231419612.6852487578465
0.45567.77361147926312.5418362515007
0.46570.06704506399212.3871904308535
0.47572.32927333912812.2317452523849
0.48574.56070790928112.0799875847136
0.49576.76296483631311.9342499895381
0.5578.93890052707811.798098701235
0.51581.0929007705711.6781025943375
0.52583.23141226870611.5859622197769
0.53585.36361280194511.538682009544
0.54587.50205640937711.5594631753535
0.55589.66311906901711.6734821652973
0.56591.86710945630411.9064547830397
0.57594.13798483478612.2791262578514
0.58596.50269944301412.803969506721
0.59598.99028370553213.4855140958694
0.6601.63078442051814.3197811250256
0.61604.45417935857115.2981192583593
0.62607.48932256081916.40784902182
0.63610.76290296999617.6318099496417
0.64614.29834091357418.9495728484757
0.65618.11453308293220.3350172615228
0.66622.22440110153221.7530301372675
0.67626.63329444299523.1599897972308
0.68631.3374182175324.5021159261677
0.69636.32256196728425.7201851036027
0.7641.56346105123126.7541917066907
0.71647.02410562274227.5483959405902
0.72652.65922160898528.0610297334934
0.73658.41699855013228.266145145175
0.74664.2429541076828.1596275260226
0.75670.08462775790527.7631844154306
0.76675.89660711991227.1229074366762
0.77681.64523268449426.3065989564064
0.78687.31223547987525.4002149424337
0.79692.8965879928524.4958009978736
0.8698.4140456663823.6792255105625
0.81703.89425161293323.01513730166
0.82709.37582958518722.5346113943377
0.83714.90046106185222.2286643583236
0.84720.50731136752822.0542694190231
0.85726.22912680116621.9505672479368
0.86732.09083705057121.859896561311
0.87738.11088195189121.7422606956342
0.88744.30540518212421.5799681301953
0.89750.69651652685121.3729984350045
0.9757.32762485276921.1415278871467
0.91764.28909452504220.9569206627749
0.92771.75258855582321.0034147989845
0.93780.00145722079121.6035339127983
0.94789.43520073699523.0492622637005
0.95800.53318520945325.2192063524941
0.96813.77828743857327.4031397392763
0.97829.48057316309128.8682594980572
0.98847.20764497110130.0332398326914
0.99864.4922132786532.4590099387131

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 356.716112787737 & 4.97591601349409 \tabularnewline
0.02 & 361.004358816497 & 11.7018471750488 \tabularnewline
0.03 & 368.073784101241 & 18.6775418367148 \tabularnewline
0.04 & 377.482269129384 & 24.4545174798577 \tabularnewline
0.05 & 388.461435374189 & 28.5574447498446 \tabularnewline
0.06 & 400.208337772151 & 31.005903361416 \tabularnewline
0.07 & 412.034598888499 & 31.9063086108832 \tabularnewline
0.08 & 423.40194019993 & 31.3512675075077 \tabularnewline
0.09 & 433.91572361233 & 29.5161115540691 \tabularnewline
0.1 & 443.320527462627 & 26.7436868996512 \tabularnewline
0.11 & 451.502171882065 & 23.5216923595422 \tabularnewline
0.12 & 458.482055425842 & 20.3714870378539 \tabularnewline
0.13 & 464.393407107574 & 17.7271812466832 \tabularnewline
0.14 & 469.441455146567 & 15.8492441254674 \tabularnewline
0.15 & 473.858310745741 & 14.7944192531334 \tabularnewline
0.16 & 477.864297744018 & 14.4524949626338 \tabularnewline
0.17 & 481.642747444747 & 14.6282152595763 \tabularnewline
0.18 & 485.329239033532 & 15.1215576003206 \tabularnewline
0.19 & 489.012026376503 & 15.770880215044 \tabularnewline
0.2 & 492.738895327005 & 16.4534745239426 \tabularnewline
0.21 & 496.526302594718 & 17.0823463495548 \tabularnewline
0.22 & 500.368182168966 & 17.5940407190362 \tabularnewline
0.23 & 504.243311052153 & 17.9456014181792 \tabularnewline
0.24 & 508.121134211106 & 18.1106292389395 \tabularnewline
0.25 & 511.966404068432 & 18.0777364709327 \tabularnewline
0.26 & 515.743048486281 & 17.8506673234155 \tabularnewline
0.27 & 519.417536850202 & 17.4461497474385 \tabularnewline
0.28 & 522.961811834589 & 16.8961744673761 \tabularnewline
0.29 & 526.355678753249 & 16.2426550385918 \tabularnewline
0.3 & 529.588438148776 & 15.5392417659221 \tabularnewline
0.31 & 532.659531860718 & 14.8427982001957 \tabularnewline
0.32 & 535.578052928349 & 14.2078633004249 \tabularnewline
0.33 & 538.361128760927 & 13.6808283703715 \tabularnewline
0.34 & 541.031384855116 & 13.2888359203445 \tabularnewline
0.35 & 543.61387680956 & 13.037215080686 \tabularnewline
0.36 & 546.132986383251 & 12.91052233871 \tabularnewline
0.37 & 548.609777772094 & 12.8772929562175 \tabularnewline
0.38 & 551.06020023998 & 12.8998239646624 \tabularnewline
0.39 & 553.494332406992 & 12.9384364880544 \tabularnewline
0.4 & 555.916643236982 & 12.9624433195506 \tabularnewline
0.41 & 558.327051130036 & 12.9527222035548 \tabularnewline
0.42 & 560.72243969151 & 12.90105515581 \tabularnewline
0.43 & 563.098258187574 & 12.8084242841528 \tabularnewline
0.44 & 565.449892314196 & 12.6852487578465 \tabularnewline
0.45 & 567.773611479263 & 12.5418362515007 \tabularnewline
0.46 & 570.067045063992 & 12.3871904308535 \tabularnewline
0.47 & 572.329273339128 & 12.2317452523849 \tabularnewline
0.48 & 574.560707909281 & 12.0799875847136 \tabularnewline
0.49 & 576.762964836313 & 11.9342499895381 \tabularnewline
0.5 & 578.938900527078 & 11.798098701235 \tabularnewline
0.51 & 581.09290077057 & 11.6781025943375 \tabularnewline
0.52 & 583.231412268706 & 11.5859622197769 \tabularnewline
0.53 & 585.363612801945 & 11.538682009544 \tabularnewline
0.54 & 587.502056409377 & 11.5594631753535 \tabularnewline
0.55 & 589.663119069017 & 11.6734821652973 \tabularnewline
0.56 & 591.867109456304 & 11.9064547830397 \tabularnewline
0.57 & 594.137984834786 & 12.2791262578514 \tabularnewline
0.58 & 596.502699443014 & 12.803969506721 \tabularnewline
0.59 & 598.990283705532 & 13.4855140958694 \tabularnewline
0.6 & 601.630784420518 & 14.3197811250256 \tabularnewline
0.61 & 604.454179358571 & 15.2981192583593 \tabularnewline
0.62 & 607.489322560819 & 16.40784902182 \tabularnewline
0.63 & 610.762902969996 & 17.6318099496417 \tabularnewline
0.64 & 614.298340913574 & 18.9495728484757 \tabularnewline
0.65 & 618.114533082932 & 20.3350172615228 \tabularnewline
0.66 & 622.224401101532 & 21.7530301372675 \tabularnewline
0.67 & 626.633294442995 & 23.1599897972308 \tabularnewline
0.68 & 631.33741821753 & 24.5021159261677 \tabularnewline
0.69 & 636.322561967284 & 25.7201851036027 \tabularnewline
0.7 & 641.563461051231 & 26.7541917066907 \tabularnewline
0.71 & 647.024105622742 & 27.5483959405902 \tabularnewline
0.72 & 652.659221608985 & 28.0610297334934 \tabularnewline
0.73 & 658.416998550132 & 28.266145145175 \tabularnewline
0.74 & 664.24295410768 & 28.1596275260226 \tabularnewline
0.75 & 670.084627757905 & 27.7631844154306 \tabularnewline
0.76 & 675.896607119912 & 27.1229074366762 \tabularnewline
0.77 & 681.645232684494 & 26.3065989564064 \tabularnewline
0.78 & 687.312235479875 & 25.4002149424337 \tabularnewline
0.79 & 692.89658799285 & 24.4958009978736 \tabularnewline
0.8 & 698.41404566638 & 23.6792255105625 \tabularnewline
0.81 & 703.894251612933 & 23.01513730166 \tabularnewline
0.82 & 709.375829585187 & 22.5346113943377 \tabularnewline
0.83 & 714.900461061852 & 22.2286643583236 \tabularnewline
0.84 & 720.507311367528 & 22.0542694190231 \tabularnewline
0.85 & 726.229126801166 & 21.9505672479368 \tabularnewline
0.86 & 732.090837050571 & 21.859896561311 \tabularnewline
0.87 & 738.110881951891 & 21.7422606956342 \tabularnewline
0.88 & 744.305405182124 & 21.5799681301953 \tabularnewline
0.89 & 750.696516526851 & 21.3729984350045 \tabularnewline
0.9 & 757.327624852769 & 21.1415278871467 \tabularnewline
0.91 & 764.289094525042 & 20.9569206627749 \tabularnewline
0.92 & 771.752588555823 & 21.0034147989845 \tabularnewline
0.93 & 780.001457220791 & 21.6035339127983 \tabularnewline
0.94 & 789.435200736995 & 23.0492622637005 \tabularnewline
0.95 & 800.533185209453 & 25.2192063524941 \tabularnewline
0.96 & 813.778287438573 & 27.4031397392763 \tabularnewline
0.97 & 829.480573163091 & 28.8682594980572 \tabularnewline
0.98 & 847.207644971101 & 30.0332398326914 \tabularnewline
0.99 & 864.49221327865 & 32.4590099387131 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239281&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]356.716112787737[/C][C]4.97591601349409[/C][/ROW]
[ROW][C]0.02[/C][C]361.004358816497[/C][C]11.7018471750488[/C][/ROW]
[ROW][C]0.03[/C][C]368.073784101241[/C][C]18.6775418367148[/C][/ROW]
[ROW][C]0.04[/C][C]377.482269129384[/C][C]24.4545174798577[/C][/ROW]
[ROW][C]0.05[/C][C]388.461435374189[/C][C]28.5574447498446[/C][/ROW]
[ROW][C]0.06[/C][C]400.208337772151[/C][C]31.005903361416[/C][/ROW]
[ROW][C]0.07[/C][C]412.034598888499[/C][C]31.9063086108832[/C][/ROW]
[ROW][C]0.08[/C][C]423.40194019993[/C][C]31.3512675075077[/C][/ROW]
[ROW][C]0.09[/C][C]433.91572361233[/C][C]29.5161115540691[/C][/ROW]
[ROW][C]0.1[/C][C]443.320527462627[/C][C]26.7436868996512[/C][/ROW]
[ROW][C]0.11[/C][C]451.502171882065[/C][C]23.5216923595422[/C][/ROW]
[ROW][C]0.12[/C][C]458.482055425842[/C][C]20.3714870378539[/C][/ROW]
[ROW][C]0.13[/C][C]464.393407107574[/C][C]17.7271812466832[/C][/ROW]
[ROW][C]0.14[/C][C]469.441455146567[/C][C]15.8492441254674[/C][/ROW]
[ROW][C]0.15[/C][C]473.858310745741[/C][C]14.7944192531334[/C][/ROW]
[ROW][C]0.16[/C][C]477.864297744018[/C][C]14.4524949626338[/C][/ROW]
[ROW][C]0.17[/C][C]481.642747444747[/C][C]14.6282152595763[/C][/ROW]
[ROW][C]0.18[/C][C]485.329239033532[/C][C]15.1215576003206[/C][/ROW]
[ROW][C]0.19[/C][C]489.012026376503[/C][C]15.770880215044[/C][/ROW]
[ROW][C]0.2[/C][C]492.738895327005[/C][C]16.4534745239426[/C][/ROW]
[ROW][C]0.21[/C][C]496.526302594718[/C][C]17.0823463495548[/C][/ROW]
[ROW][C]0.22[/C][C]500.368182168966[/C][C]17.5940407190362[/C][/ROW]
[ROW][C]0.23[/C][C]504.243311052153[/C][C]17.9456014181792[/C][/ROW]
[ROW][C]0.24[/C][C]508.121134211106[/C][C]18.1106292389395[/C][/ROW]
[ROW][C]0.25[/C][C]511.966404068432[/C][C]18.0777364709327[/C][/ROW]
[ROW][C]0.26[/C][C]515.743048486281[/C][C]17.8506673234155[/C][/ROW]
[ROW][C]0.27[/C][C]519.417536850202[/C][C]17.4461497474385[/C][/ROW]
[ROW][C]0.28[/C][C]522.961811834589[/C][C]16.8961744673761[/C][/ROW]
[ROW][C]0.29[/C][C]526.355678753249[/C][C]16.2426550385918[/C][/ROW]
[ROW][C]0.3[/C][C]529.588438148776[/C][C]15.5392417659221[/C][/ROW]
[ROW][C]0.31[/C][C]532.659531860718[/C][C]14.8427982001957[/C][/ROW]
[ROW][C]0.32[/C][C]535.578052928349[/C][C]14.2078633004249[/C][/ROW]
[ROW][C]0.33[/C][C]538.361128760927[/C][C]13.6808283703715[/C][/ROW]
[ROW][C]0.34[/C][C]541.031384855116[/C][C]13.2888359203445[/C][/ROW]
[ROW][C]0.35[/C][C]543.61387680956[/C][C]13.037215080686[/C][/ROW]
[ROW][C]0.36[/C][C]546.132986383251[/C][C]12.91052233871[/C][/ROW]
[ROW][C]0.37[/C][C]548.609777772094[/C][C]12.8772929562175[/C][/ROW]
[ROW][C]0.38[/C][C]551.06020023998[/C][C]12.8998239646624[/C][/ROW]
[ROW][C]0.39[/C][C]553.494332406992[/C][C]12.9384364880544[/C][/ROW]
[ROW][C]0.4[/C][C]555.916643236982[/C][C]12.9624433195506[/C][/ROW]
[ROW][C]0.41[/C][C]558.327051130036[/C][C]12.9527222035548[/C][/ROW]
[ROW][C]0.42[/C][C]560.72243969151[/C][C]12.90105515581[/C][/ROW]
[ROW][C]0.43[/C][C]563.098258187574[/C][C]12.8084242841528[/C][/ROW]
[ROW][C]0.44[/C][C]565.449892314196[/C][C]12.6852487578465[/C][/ROW]
[ROW][C]0.45[/C][C]567.773611479263[/C][C]12.5418362515007[/C][/ROW]
[ROW][C]0.46[/C][C]570.067045063992[/C][C]12.3871904308535[/C][/ROW]
[ROW][C]0.47[/C][C]572.329273339128[/C][C]12.2317452523849[/C][/ROW]
[ROW][C]0.48[/C][C]574.560707909281[/C][C]12.0799875847136[/C][/ROW]
[ROW][C]0.49[/C][C]576.762964836313[/C][C]11.9342499895381[/C][/ROW]
[ROW][C]0.5[/C][C]578.938900527078[/C][C]11.798098701235[/C][/ROW]
[ROW][C]0.51[/C][C]581.09290077057[/C][C]11.6781025943375[/C][/ROW]
[ROW][C]0.52[/C][C]583.231412268706[/C][C]11.5859622197769[/C][/ROW]
[ROW][C]0.53[/C][C]585.363612801945[/C][C]11.538682009544[/C][/ROW]
[ROW][C]0.54[/C][C]587.502056409377[/C][C]11.5594631753535[/C][/ROW]
[ROW][C]0.55[/C][C]589.663119069017[/C][C]11.6734821652973[/C][/ROW]
[ROW][C]0.56[/C][C]591.867109456304[/C][C]11.9064547830397[/C][/ROW]
[ROW][C]0.57[/C][C]594.137984834786[/C][C]12.2791262578514[/C][/ROW]
[ROW][C]0.58[/C][C]596.502699443014[/C][C]12.803969506721[/C][/ROW]
[ROW][C]0.59[/C][C]598.990283705532[/C][C]13.4855140958694[/C][/ROW]
[ROW][C]0.6[/C][C]601.630784420518[/C][C]14.3197811250256[/C][/ROW]
[ROW][C]0.61[/C][C]604.454179358571[/C][C]15.2981192583593[/C][/ROW]
[ROW][C]0.62[/C][C]607.489322560819[/C][C]16.40784902182[/C][/ROW]
[ROW][C]0.63[/C][C]610.762902969996[/C][C]17.6318099496417[/C][/ROW]
[ROW][C]0.64[/C][C]614.298340913574[/C][C]18.9495728484757[/C][/ROW]
[ROW][C]0.65[/C][C]618.114533082932[/C][C]20.3350172615228[/C][/ROW]
[ROW][C]0.66[/C][C]622.224401101532[/C][C]21.7530301372675[/C][/ROW]
[ROW][C]0.67[/C][C]626.633294442995[/C][C]23.1599897972308[/C][/ROW]
[ROW][C]0.68[/C][C]631.33741821753[/C][C]24.5021159261677[/C][/ROW]
[ROW][C]0.69[/C][C]636.322561967284[/C][C]25.7201851036027[/C][/ROW]
[ROW][C]0.7[/C][C]641.563461051231[/C][C]26.7541917066907[/C][/ROW]
[ROW][C]0.71[/C][C]647.024105622742[/C][C]27.5483959405902[/C][/ROW]
[ROW][C]0.72[/C][C]652.659221608985[/C][C]28.0610297334934[/C][/ROW]
[ROW][C]0.73[/C][C]658.416998550132[/C][C]28.266145145175[/C][/ROW]
[ROW][C]0.74[/C][C]664.24295410768[/C][C]28.1596275260226[/C][/ROW]
[ROW][C]0.75[/C][C]670.084627757905[/C][C]27.7631844154306[/C][/ROW]
[ROW][C]0.76[/C][C]675.896607119912[/C][C]27.1229074366762[/C][/ROW]
[ROW][C]0.77[/C][C]681.645232684494[/C][C]26.3065989564064[/C][/ROW]
[ROW][C]0.78[/C][C]687.312235479875[/C][C]25.4002149424337[/C][/ROW]
[ROW][C]0.79[/C][C]692.89658799285[/C][C]24.4958009978736[/C][/ROW]
[ROW][C]0.8[/C][C]698.41404566638[/C][C]23.6792255105625[/C][/ROW]
[ROW][C]0.81[/C][C]703.894251612933[/C][C]23.01513730166[/C][/ROW]
[ROW][C]0.82[/C][C]709.375829585187[/C][C]22.5346113943377[/C][/ROW]
[ROW][C]0.83[/C][C]714.900461061852[/C][C]22.2286643583236[/C][/ROW]
[ROW][C]0.84[/C][C]720.507311367528[/C][C]22.0542694190231[/C][/ROW]
[ROW][C]0.85[/C][C]726.229126801166[/C][C]21.9505672479368[/C][/ROW]
[ROW][C]0.86[/C][C]732.090837050571[/C][C]21.859896561311[/C][/ROW]
[ROW][C]0.87[/C][C]738.110881951891[/C][C]21.7422606956342[/C][/ROW]
[ROW][C]0.88[/C][C]744.305405182124[/C][C]21.5799681301953[/C][/ROW]
[ROW][C]0.89[/C][C]750.696516526851[/C][C]21.3729984350045[/C][/ROW]
[ROW][C]0.9[/C][C]757.327624852769[/C][C]21.1415278871467[/C][/ROW]
[ROW][C]0.91[/C][C]764.289094525042[/C][C]20.9569206627749[/C][/ROW]
[ROW][C]0.92[/C][C]771.752588555823[/C][C]21.0034147989845[/C][/ROW]
[ROW][C]0.93[/C][C]780.001457220791[/C][C]21.6035339127983[/C][/ROW]
[ROW][C]0.94[/C][C]789.435200736995[/C][C]23.0492622637005[/C][/ROW]
[ROW][C]0.95[/C][C]800.533185209453[/C][C]25.2192063524941[/C][/ROW]
[ROW][C]0.96[/C][C]813.778287438573[/C][C]27.4031397392763[/C][/ROW]
[ROW][C]0.97[/C][C]829.480573163091[/C][C]28.8682594980572[/C][/ROW]
[ROW][C]0.98[/C][C]847.207644971101[/C][C]30.0332398326914[/C][/ROW]
[ROW][C]0.99[/C][C]864.49221327865[/C][C]32.4590099387131[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239281&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239281&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
0.01356.7161127877374.97591601349409
0.02361.00435881649711.7018471750488
0.03368.07378410124118.6775418367148
0.04377.48226912938424.4545174798577
0.05388.46143537418928.5574447498446
0.06400.20833777215131.005903361416
0.07412.03459888849931.9063086108832
0.08423.4019401999331.3512675075077
0.09433.9157236123329.5161115540691
0.1443.32052746262726.7436868996512
0.11451.50217188206523.5216923595422
0.12458.48205542584220.3714870378539
0.13464.39340710757417.7271812466832
0.14469.44145514656715.8492441254674
0.15473.85831074574114.7944192531334
0.16477.86429774401814.4524949626338
0.17481.64274744474714.6282152595763
0.18485.32923903353215.1215576003206
0.19489.01202637650315.770880215044
0.2492.73889532700516.4534745239426
0.21496.52630259471817.0823463495548
0.22500.36818216896617.5940407190362
0.23504.24331105215317.9456014181792
0.24508.12113421110618.1106292389395
0.25511.96640406843218.0777364709327
0.26515.74304848628117.8506673234155
0.27519.41753685020217.4461497474385
0.28522.96181183458916.8961744673761
0.29526.35567875324916.2426550385918
0.3529.58843814877615.5392417659221
0.31532.65953186071814.8427982001957
0.32535.57805292834914.2078633004249
0.33538.36112876092713.6808283703715
0.34541.03138485511613.2888359203445
0.35543.6138768095613.037215080686
0.36546.13298638325112.91052233871
0.37548.60977777209412.8772929562175
0.38551.0602002399812.8998239646624
0.39553.49433240699212.9384364880544
0.4555.91664323698212.9624433195506
0.41558.32705113003612.9527222035548
0.42560.7224396915112.90105515581
0.43563.09825818757412.8084242841528
0.44565.44989231419612.6852487578465
0.45567.77361147926312.5418362515007
0.46570.06704506399212.3871904308535
0.47572.32927333912812.2317452523849
0.48574.56070790928112.0799875847136
0.49576.76296483631311.9342499895381
0.5578.93890052707811.798098701235
0.51581.0929007705711.6781025943375
0.52583.23141226870611.5859622197769
0.53585.36361280194511.538682009544
0.54587.50205640937711.5594631753535
0.55589.66311906901711.6734821652973
0.56591.86710945630411.9064547830397
0.57594.13798483478612.2791262578514
0.58596.50269944301412.803969506721
0.59598.99028370553213.4855140958694
0.6601.63078442051814.3197811250256
0.61604.45417935857115.2981192583593
0.62607.48932256081916.40784902182
0.63610.76290296999617.6318099496417
0.64614.29834091357418.9495728484757
0.65618.11453308293220.3350172615228
0.66622.22440110153221.7530301372675
0.67626.63329444299523.1599897972308
0.68631.3374182175324.5021159261677
0.69636.32256196728425.7201851036027
0.7641.56346105123126.7541917066907
0.71647.02410562274227.5483959405902
0.72652.65922160898528.0610297334934
0.73658.41699855013228.266145145175
0.74664.2429541076828.1596275260226
0.75670.08462775790527.7631844154306
0.76675.89660711991227.1229074366762
0.77681.64523268449426.3065989564064
0.78687.31223547987525.4002149424337
0.79692.8965879928524.4958009978736
0.8698.4140456663823.6792255105625
0.81703.89425161293323.01513730166
0.82709.37582958518722.5346113943377
0.83714.90046106185222.2286643583236
0.84720.50731136752822.0542694190231
0.85726.22912680116621.9505672479368
0.86732.09083705057121.859896561311
0.87738.11088195189121.7422606956342
0.88744.30540518212421.5799681301953
0.89750.69651652685121.3729984350045
0.9757.32762485276921.1415278871467
0.91764.28909452504220.9569206627749
0.92771.75258855582321.0034147989845
0.93780.00145722079121.6035339127983
0.94789.43520073699523.0492622637005
0.95800.53318520945325.2192063524941
0.96813.77828743857327.4031397392763
0.97829.48057316309128.8682594980572
0.98847.20764497110130.0332398326914
0.99864.4922132786532.4590099387131


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')