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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 16 Oct 2008 09:59:11 -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/2008/Oct/16/t1224172897ya33nsyke2um93b.htm/, Retrieved Sun, 19 May 2024 14:46:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16369, Retrieved Sun, 19 May 2024 14:46:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190

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] [Harrell-Davis Tij...] [2008-10-16 15:59:11] [e08fee3874f3333d6b7a377a061b860d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
493.000
481.000
462.000
457.000
442.000
439.000
488.000
521.000
501.000
485.000
464.000
460.000
467.000
460.000
448.000
443.000
436.000
431.000
484.000
510.000
513.000
503.000
471.000
471.000
476.000
475.000
470.000
461.000
455.000
456.000
517.000
525.000
523.000
519.000
509.000
512.000
519.000
517.000
510.000
509.000
501.000
507.000
569.000
580.000
578.000
565.000
547.000
555.000
562.000
561.000
555.000
544.000
537.000
543.000
594.000
611.000
613.000
611.000
594.000
595.000

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16369&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]3 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=16369&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16369&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01432.2416852979464.54558847693947
0.02434.1394294574524.19073977536204
0.03436.2397369085314.09783650010406
0.04438.2963018568574.29815585969731
0.05440.261775549374.71920711984363
0.06442.1757426865565.25969838237907
0.07444.0816869637235.79719078806105
0.08445.9940484670896.21219141191872
0.09447.8966259231946.42040078395432
0.1449.7541266705516.39547941067335
0.11451.5265397975056.1657371765031
0.12453.1811089749455.7983229223147
0.13454.6995235867585.37602983296873
0.14456.0799593765174.9763440115432
0.15457.3350364431184.65797080079109
0.16458.4874439066384.4561797902504
0.17459.5649355547564.38128918579535
0.18460.5959127752454.42444779655268
0.19461.6062144250454.56429466291147
0.2462.6172512808484.77530010502825
0.21463.6453302332155.03236404358004
0.22464.7018836811035.31484825383883
0.23465.7942906210235.60935920601484
0.24466.9269956328985.90919302053803
0.25468.1026730310166.21347117884391
0.26469.3232373730186.52616135141444
0.27470.5905662200926.85299385692815
0.28471.9068719769787.19859698786574
0.29473.2747277059657.5655274655476
0.3474.6968063125587.95255088060012
0.31476.1754256541818.35506896729973
0.32477.7120020383588.76457481361338
0.33479.3065054448299.17024413388958
0.34480.9569896369649.55773826151178
0.35482.6592476064629.91276928013108
0.36484.4066235817510.2195947220253
0.37486.18999933315410.4633574134912
0.38487.99796338787510.6292556366211
0.39489.81716372631210.7061221418873
0.4491.63283434188510.6855242536091
0.41493.42947218805610.5635188180152
0.42495.1916243904610.3425024974233
0.43496.904729114910.0289347877737
0.44498.5559410845999.63500465934617
0.45500.1348680244279.17808818201634
0.46501.6341494423628.67911801837794
0.47503.0498243285058.16009875667885
0.48504.3814578038547.64412913229038
0.49505.6320252465287.15273806743373
0.5506.8075818955416.7056124171967
0.51507.9167721229616.31824704557163
0.52508.9702515432176.00200310521293
0.53509.9801037029525.7635892489185
0.54510.9593291939255.6062082316451
0.55511.9214680963315.52987911839847
0.56512.8803880327675.53230377356211
0.57513.8502332977465.61302679361213
0.58514.8454911442015.773808612118
0.59515.8810965746846.01654264750248
0.6516.9724746484576.34634221493725
0.61518.1354161166886.76618114914965
0.62519.3857021206037.27725566732642
0.63520.7384364120957.87401225299018
0.64522.2071035946578.54195094488554
0.65523.8024388296789.26014591000728
0.66525.5312545847869.99909008114752
0.67527.3954091042810.7235737893447
0.68529.39110819470811.3961773904612
0.69531.50870187466111.9802392345375
0.7533.73307413979412.444345465663
0.71536.04463959650112.7657847053159
0.72538.42087273514312.9346218631515
0.73540.83822271199612.9504561914556
0.74543.27422250430912.8271083427683
0.75545.70959075949712.5880537015695
0.76548.13014130549912.2660236695301
0.77550.52834434776411.8994362129479
0.78552.90440745319311.529938431327
0.79555.26675118872811.2007140894325
0.8557.63174348464910.9521077167130
0.81560.02254430504110.8174505387398
0.82562.46692997889710.8179990334458
0.83564.99405790845610.9546865297761
0.84567.63034113798411.2050459802803
0.85570.39495091270511.5210303033740
0.86573.29591576246111.8335945924655
0.87576.32818328269812.0633385132943
0.88579.475039912412.1373231970920
0.89582.71350716642312.0120918152472
0.9586.0224232086711.6957989010469
0.91589.38914434985211.2584194183696
0.92592.80858868219710.8080322755466
0.93596.2693316048810.4117722069267
0.94599.7281212389769.98481415828931
0.95603.0855658797259.2612537332415
0.96606.1841002965857.95133134446655
0.97608.8418254187316.01972846050202
0.98610.9076314791883.89324975066248
0.99612.2977509553192.38678978490334

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 432.241685297946 & 4.54558847693947 \tabularnewline
0.02 & 434.139429457452 & 4.19073977536204 \tabularnewline
0.03 & 436.239736908531 & 4.09783650010406 \tabularnewline
0.04 & 438.296301856857 & 4.29815585969731 \tabularnewline
0.05 & 440.26177554937 & 4.71920711984363 \tabularnewline
0.06 & 442.175742686556 & 5.25969838237907 \tabularnewline
0.07 & 444.081686963723 & 5.79719078806105 \tabularnewline
0.08 & 445.994048467089 & 6.21219141191872 \tabularnewline
0.09 & 447.896625923194 & 6.42040078395432 \tabularnewline
0.1 & 449.754126670551 & 6.39547941067335 \tabularnewline
0.11 & 451.526539797505 & 6.1657371765031 \tabularnewline
0.12 & 453.181108974945 & 5.7983229223147 \tabularnewline
0.13 & 454.699523586758 & 5.37602983296873 \tabularnewline
0.14 & 456.079959376517 & 4.9763440115432 \tabularnewline
0.15 & 457.335036443118 & 4.65797080079109 \tabularnewline
0.16 & 458.487443906638 & 4.4561797902504 \tabularnewline
0.17 & 459.564935554756 & 4.38128918579535 \tabularnewline
0.18 & 460.595912775245 & 4.42444779655268 \tabularnewline
0.19 & 461.606214425045 & 4.56429466291147 \tabularnewline
0.2 & 462.617251280848 & 4.77530010502825 \tabularnewline
0.21 & 463.645330233215 & 5.03236404358004 \tabularnewline
0.22 & 464.701883681103 & 5.31484825383883 \tabularnewline
0.23 & 465.794290621023 & 5.60935920601484 \tabularnewline
0.24 & 466.926995632898 & 5.90919302053803 \tabularnewline
0.25 & 468.102673031016 & 6.21347117884391 \tabularnewline
0.26 & 469.323237373018 & 6.52616135141444 \tabularnewline
0.27 & 470.590566220092 & 6.85299385692815 \tabularnewline
0.28 & 471.906871976978 & 7.19859698786574 \tabularnewline
0.29 & 473.274727705965 & 7.5655274655476 \tabularnewline
0.3 & 474.696806312558 & 7.95255088060012 \tabularnewline
0.31 & 476.175425654181 & 8.35506896729973 \tabularnewline
0.32 & 477.712002038358 & 8.76457481361338 \tabularnewline
0.33 & 479.306505444829 & 9.17024413388958 \tabularnewline
0.34 & 480.956989636964 & 9.55773826151178 \tabularnewline
0.35 & 482.659247606462 & 9.91276928013108 \tabularnewline
0.36 & 484.40662358175 & 10.2195947220253 \tabularnewline
0.37 & 486.189999333154 & 10.4633574134912 \tabularnewline
0.38 & 487.997963387875 & 10.6292556366211 \tabularnewline
0.39 & 489.817163726312 & 10.7061221418873 \tabularnewline
0.4 & 491.632834341885 & 10.6855242536091 \tabularnewline
0.41 & 493.429472188056 & 10.5635188180152 \tabularnewline
0.42 & 495.19162439046 & 10.3425024974233 \tabularnewline
0.43 & 496.9047291149 & 10.0289347877737 \tabularnewline
0.44 & 498.555941084599 & 9.63500465934617 \tabularnewline
0.45 & 500.134868024427 & 9.17808818201634 \tabularnewline
0.46 & 501.634149442362 & 8.67911801837794 \tabularnewline
0.47 & 503.049824328505 & 8.16009875667885 \tabularnewline
0.48 & 504.381457803854 & 7.64412913229038 \tabularnewline
0.49 & 505.632025246528 & 7.15273806743373 \tabularnewline
0.5 & 506.807581895541 & 6.7056124171967 \tabularnewline
0.51 & 507.916772122961 & 6.31824704557163 \tabularnewline
0.52 & 508.970251543217 & 6.00200310521293 \tabularnewline
0.53 & 509.980103702952 & 5.7635892489185 \tabularnewline
0.54 & 510.959329193925 & 5.6062082316451 \tabularnewline
0.55 & 511.921468096331 & 5.52987911839847 \tabularnewline
0.56 & 512.880388032767 & 5.53230377356211 \tabularnewline
0.57 & 513.850233297746 & 5.61302679361213 \tabularnewline
0.58 & 514.845491144201 & 5.773808612118 \tabularnewline
0.59 & 515.881096574684 & 6.01654264750248 \tabularnewline
0.6 & 516.972474648457 & 6.34634221493725 \tabularnewline
0.61 & 518.135416116688 & 6.76618114914965 \tabularnewline
0.62 & 519.385702120603 & 7.27725566732642 \tabularnewline
0.63 & 520.738436412095 & 7.87401225299018 \tabularnewline
0.64 & 522.207103594657 & 8.54195094488554 \tabularnewline
0.65 & 523.802438829678 & 9.26014591000728 \tabularnewline
0.66 & 525.531254584786 & 9.99909008114752 \tabularnewline
0.67 & 527.39540910428 & 10.7235737893447 \tabularnewline
0.68 & 529.391108194708 & 11.3961773904612 \tabularnewline
0.69 & 531.508701874661 & 11.9802392345375 \tabularnewline
0.7 & 533.733074139794 & 12.444345465663 \tabularnewline
0.71 & 536.044639596501 & 12.7657847053159 \tabularnewline
0.72 & 538.420872735143 & 12.9346218631515 \tabularnewline
0.73 & 540.838222711996 & 12.9504561914556 \tabularnewline
0.74 & 543.274222504309 & 12.8271083427683 \tabularnewline
0.75 & 545.709590759497 & 12.5880537015695 \tabularnewline
0.76 & 548.130141305499 & 12.2660236695301 \tabularnewline
0.77 & 550.528344347764 & 11.8994362129479 \tabularnewline
0.78 & 552.904407453193 & 11.529938431327 \tabularnewline
0.79 & 555.266751188728 & 11.2007140894325 \tabularnewline
0.8 & 557.631743484649 & 10.9521077167130 \tabularnewline
0.81 & 560.022544305041 & 10.8174505387398 \tabularnewline
0.82 & 562.466929978897 & 10.8179990334458 \tabularnewline
0.83 & 564.994057908456 & 10.9546865297761 \tabularnewline
0.84 & 567.630341137984 & 11.2050459802803 \tabularnewline
0.85 & 570.394950912705 & 11.5210303033740 \tabularnewline
0.86 & 573.295915762461 & 11.8335945924655 \tabularnewline
0.87 & 576.328183282698 & 12.0633385132943 \tabularnewline
0.88 & 579.4750399124 & 12.1373231970920 \tabularnewline
0.89 & 582.713507166423 & 12.0120918152472 \tabularnewline
0.9 & 586.02242320867 & 11.6957989010469 \tabularnewline
0.91 & 589.389144349852 & 11.2584194183696 \tabularnewline
0.92 & 592.808588682197 & 10.8080322755466 \tabularnewline
0.93 & 596.26933160488 & 10.4117722069267 \tabularnewline
0.94 & 599.728121238976 & 9.98481415828931 \tabularnewline
0.95 & 603.085565879725 & 9.2612537332415 \tabularnewline
0.96 & 606.184100296585 & 7.95133134446655 \tabularnewline
0.97 & 608.841825418731 & 6.01972846050202 \tabularnewline
0.98 & 610.907631479188 & 3.89324975066248 \tabularnewline
0.99 & 612.297750955319 & 2.38678978490334 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16369&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]432.241685297946[/C][C]4.54558847693947[/C][/ROW]
[ROW][C]0.02[/C][C]434.139429457452[/C][C]4.19073977536204[/C][/ROW]
[ROW][C]0.03[/C][C]436.239736908531[/C][C]4.09783650010406[/C][/ROW]
[ROW][C]0.04[/C][C]438.296301856857[/C][C]4.29815585969731[/C][/ROW]
[ROW][C]0.05[/C][C]440.26177554937[/C][C]4.71920711984363[/C][/ROW]
[ROW][C]0.06[/C][C]442.175742686556[/C][C]5.25969838237907[/C][/ROW]
[ROW][C]0.07[/C][C]444.081686963723[/C][C]5.79719078806105[/C][/ROW]
[ROW][C]0.08[/C][C]445.994048467089[/C][C]6.21219141191872[/C][/ROW]
[ROW][C]0.09[/C][C]447.896625923194[/C][C]6.42040078395432[/C][/ROW]
[ROW][C]0.1[/C][C]449.754126670551[/C][C]6.39547941067335[/C][/ROW]
[ROW][C]0.11[/C][C]451.526539797505[/C][C]6.1657371765031[/C][/ROW]
[ROW][C]0.12[/C][C]453.181108974945[/C][C]5.7983229223147[/C][/ROW]
[ROW][C]0.13[/C][C]454.699523586758[/C][C]5.37602983296873[/C][/ROW]
[ROW][C]0.14[/C][C]456.079959376517[/C][C]4.9763440115432[/C][/ROW]
[ROW][C]0.15[/C][C]457.335036443118[/C][C]4.65797080079109[/C][/ROW]
[ROW][C]0.16[/C][C]458.487443906638[/C][C]4.4561797902504[/C][/ROW]
[ROW][C]0.17[/C][C]459.564935554756[/C][C]4.38128918579535[/C][/ROW]
[ROW][C]0.18[/C][C]460.595912775245[/C][C]4.42444779655268[/C][/ROW]
[ROW][C]0.19[/C][C]461.606214425045[/C][C]4.56429466291147[/C][/ROW]
[ROW][C]0.2[/C][C]462.617251280848[/C][C]4.77530010502825[/C][/ROW]
[ROW][C]0.21[/C][C]463.645330233215[/C][C]5.03236404358004[/C][/ROW]
[ROW][C]0.22[/C][C]464.701883681103[/C][C]5.31484825383883[/C][/ROW]
[ROW][C]0.23[/C][C]465.794290621023[/C][C]5.60935920601484[/C][/ROW]
[ROW][C]0.24[/C][C]466.926995632898[/C][C]5.90919302053803[/C][/ROW]
[ROW][C]0.25[/C][C]468.102673031016[/C][C]6.21347117884391[/C][/ROW]
[ROW][C]0.26[/C][C]469.323237373018[/C][C]6.52616135141444[/C][/ROW]
[ROW][C]0.27[/C][C]470.590566220092[/C][C]6.85299385692815[/C][/ROW]
[ROW][C]0.28[/C][C]471.906871976978[/C][C]7.19859698786574[/C][/ROW]
[ROW][C]0.29[/C][C]473.274727705965[/C][C]7.5655274655476[/C][/ROW]
[ROW][C]0.3[/C][C]474.696806312558[/C][C]7.95255088060012[/C][/ROW]
[ROW][C]0.31[/C][C]476.175425654181[/C][C]8.35506896729973[/C][/ROW]
[ROW][C]0.32[/C][C]477.712002038358[/C][C]8.76457481361338[/C][/ROW]
[ROW][C]0.33[/C][C]479.306505444829[/C][C]9.17024413388958[/C][/ROW]
[ROW][C]0.34[/C][C]480.956989636964[/C][C]9.55773826151178[/C][/ROW]
[ROW][C]0.35[/C][C]482.659247606462[/C][C]9.91276928013108[/C][/ROW]
[ROW][C]0.36[/C][C]484.40662358175[/C][C]10.2195947220253[/C][/ROW]
[ROW][C]0.37[/C][C]486.189999333154[/C][C]10.4633574134912[/C][/ROW]
[ROW][C]0.38[/C][C]487.997963387875[/C][C]10.6292556366211[/C][/ROW]
[ROW][C]0.39[/C][C]489.817163726312[/C][C]10.7061221418873[/C][/ROW]
[ROW][C]0.4[/C][C]491.632834341885[/C][C]10.6855242536091[/C][/ROW]
[ROW][C]0.41[/C][C]493.429472188056[/C][C]10.5635188180152[/C][/ROW]
[ROW][C]0.42[/C][C]495.19162439046[/C][C]10.3425024974233[/C][/ROW]
[ROW][C]0.43[/C][C]496.9047291149[/C][C]10.0289347877737[/C][/ROW]
[ROW][C]0.44[/C][C]498.555941084599[/C][C]9.63500465934617[/C][/ROW]
[ROW][C]0.45[/C][C]500.134868024427[/C][C]9.17808818201634[/C][/ROW]
[ROW][C]0.46[/C][C]501.634149442362[/C][C]8.67911801837794[/C][/ROW]
[ROW][C]0.47[/C][C]503.049824328505[/C][C]8.16009875667885[/C][/ROW]
[ROW][C]0.48[/C][C]504.381457803854[/C][C]7.64412913229038[/C][/ROW]
[ROW][C]0.49[/C][C]505.632025246528[/C][C]7.15273806743373[/C][/ROW]
[ROW][C]0.5[/C][C]506.807581895541[/C][C]6.7056124171967[/C][/ROW]
[ROW][C]0.51[/C][C]507.916772122961[/C][C]6.31824704557163[/C][/ROW]
[ROW][C]0.52[/C][C]508.970251543217[/C][C]6.00200310521293[/C][/ROW]
[ROW][C]0.53[/C][C]509.980103702952[/C][C]5.7635892489185[/C][/ROW]
[ROW][C]0.54[/C][C]510.959329193925[/C][C]5.6062082316451[/C][/ROW]
[ROW][C]0.55[/C][C]511.921468096331[/C][C]5.52987911839847[/C][/ROW]
[ROW][C]0.56[/C][C]512.880388032767[/C][C]5.53230377356211[/C][/ROW]
[ROW][C]0.57[/C][C]513.850233297746[/C][C]5.61302679361213[/C][/ROW]
[ROW][C]0.58[/C][C]514.845491144201[/C][C]5.773808612118[/C][/ROW]
[ROW][C]0.59[/C][C]515.881096574684[/C][C]6.01654264750248[/C][/ROW]
[ROW][C]0.6[/C][C]516.972474648457[/C][C]6.34634221493725[/C][/ROW]
[ROW][C]0.61[/C][C]518.135416116688[/C][C]6.76618114914965[/C][/ROW]
[ROW][C]0.62[/C][C]519.385702120603[/C][C]7.27725566732642[/C][/ROW]
[ROW][C]0.63[/C][C]520.738436412095[/C][C]7.87401225299018[/C][/ROW]
[ROW][C]0.64[/C][C]522.207103594657[/C][C]8.54195094488554[/C][/ROW]
[ROW][C]0.65[/C][C]523.802438829678[/C][C]9.26014591000728[/C][/ROW]
[ROW][C]0.66[/C][C]525.531254584786[/C][C]9.99909008114752[/C][/ROW]
[ROW][C]0.67[/C][C]527.39540910428[/C][C]10.7235737893447[/C][/ROW]
[ROW][C]0.68[/C][C]529.391108194708[/C][C]11.3961773904612[/C][/ROW]
[ROW][C]0.69[/C][C]531.508701874661[/C][C]11.9802392345375[/C][/ROW]
[ROW][C]0.7[/C][C]533.733074139794[/C][C]12.444345465663[/C][/ROW]
[ROW][C]0.71[/C][C]536.044639596501[/C][C]12.7657847053159[/C][/ROW]
[ROW][C]0.72[/C][C]538.420872735143[/C][C]12.9346218631515[/C][/ROW]
[ROW][C]0.73[/C][C]540.838222711996[/C][C]12.9504561914556[/C][/ROW]
[ROW][C]0.74[/C][C]543.274222504309[/C][C]12.8271083427683[/C][/ROW]
[ROW][C]0.75[/C][C]545.709590759497[/C][C]12.5880537015695[/C][/ROW]
[ROW][C]0.76[/C][C]548.130141305499[/C][C]12.2660236695301[/C][/ROW]
[ROW][C]0.77[/C][C]550.528344347764[/C][C]11.8994362129479[/C][/ROW]
[ROW][C]0.78[/C][C]552.904407453193[/C][C]11.529938431327[/C][/ROW]
[ROW][C]0.79[/C][C]555.266751188728[/C][C]11.2007140894325[/C][/ROW]
[ROW][C]0.8[/C][C]557.631743484649[/C][C]10.9521077167130[/C][/ROW]
[ROW][C]0.81[/C][C]560.022544305041[/C][C]10.8174505387398[/C][/ROW]
[ROW][C]0.82[/C][C]562.466929978897[/C][C]10.8179990334458[/C][/ROW]
[ROW][C]0.83[/C][C]564.994057908456[/C][C]10.9546865297761[/C][/ROW]
[ROW][C]0.84[/C][C]567.630341137984[/C][C]11.2050459802803[/C][/ROW]
[ROW][C]0.85[/C][C]570.394950912705[/C][C]11.5210303033740[/C][/ROW]
[ROW][C]0.86[/C][C]573.295915762461[/C][C]11.8335945924655[/C][/ROW]
[ROW][C]0.87[/C][C]576.328183282698[/C][C]12.0633385132943[/C][/ROW]
[ROW][C]0.88[/C][C]579.4750399124[/C][C]12.1373231970920[/C][/ROW]
[ROW][C]0.89[/C][C]582.713507166423[/C][C]12.0120918152472[/C][/ROW]
[ROW][C]0.9[/C][C]586.02242320867[/C][C]11.6957989010469[/C][/ROW]
[ROW][C]0.91[/C][C]589.389144349852[/C][C]11.2584194183696[/C][/ROW]
[ROW][C]0.92[/C][C]592.808588682197[/C][C]10.8080322755466[/C][/ROW]
[ROW][C]0.93[/C][C]596.26933160488[/C][C]10.4117722069267[/C][/ROW]
[ROW][C]0.94[/C][C]599.728121238976[/C][C]9.98481415828931[/C][/ROW]
[ROW][C]0.95[/C][C]603.085565879725[/C][C]9.2612537332415[/C][/ROW]
[ROW][C]0.96[/C][C]606.184100296585[/C][C]7.95133134446655[/C][/ROW]
[ROW][C]0.97[/C][C]608.841825418731[/C][C]6.01972846050202[/C][/ROW]
[ROW][C]0.98[/C][C]610.907631479188[/C][C]3.89324975066248[/C][/ROW]
[ROW][C]0.99[/C][C]612.297750955319[/C][C]2.38678978490334[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16369&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16369&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
0.01432.2416852979464.54558847693947
0.02434.1394294574524.19073977536204
0.03436.2397369085314.09783650010406
0.04438.2963018568574.29815585969731
0.05440.261775549374.71920711984363
0.06442.1757426865565.25969838237907
0.07444.0816869637235.79719078806105
0.08445.9940484670896.21219141191872
0.09447.8966259231946.42040078395432
0.1449.7541266705516.39547941067335
0.11451.5265397975056.1657371765031
0.12453.1811089749455.7983229223147
0.13454.6995235867585.37602983296873
0.14456.0799593765174.9763440115432
0.15457.3350364431184.65797080079109
0.16458.4874439066384.4561797902504
0.17459.5649355547564.38128918579535
0.18460.5959127752454.42444779655268
0.19461.6062144250454.56429466291147
0.2462.6172512808484.77530010502825
0.21463.6453302332155.03236404358004
0.22464.7018836811035.31484825383883
0.23465.7942906210235.60935920601484
0.24466.9269956328985.90919302053803
0.25468.1026730310166.21347117884391
0.26469.3232373730186.52616135141444
0.27470.5905662200926.85299385692815
0.28471.9068719769787.19859698786574
0.29473.2747277059657.5655274655476
0.3474.6968063125587.95255088060012
0.31476.1754256541818.35506896729973
0.32477.7120020383588.76457481361338
0.33479.3065054448299.17024413388958
0.34480.9569896369649.55773826151178
0.35482.6592476064629.91276928013108
0.36484.4066235817510.2195947220253
0.37486.18999933315410.4633574134912
0.38487.99796338787510.6292556366211
0.39489.81716372631210.7061221418873
0.4491.63283434188510.6855242536091
0.41493.42947218805610.5635188180152
0.42495.1916243904610.3425024974233
0.43496.904729114910.0289347877737
0.44498.5559410845999.63500465934617
0.45500.1348680244279.17808818201634
0.46501.6341494423628.67911801837794
0.47503.0498243285058.16009875667885
0.48504.3814578038547.64412913229038
0.49505.6320252465287.15273806743373
0.5506.8075818955416.7056124171967
0.51507.9167721229616.31824704557163
0.52508.9702515432176.00200310521293
0.53509.9801037029525.7635892489185
0.54510.9593291939255.6062082316451
0.55511.9214680963315.52987911839847
0.56512.8803880327675.53230377356211
0.57513.8502332977465.61302679361213
0.58514.8454911442015.773808612118
0.59515.8810965746846.01654264750248
0.6516.9724746484576.34634221493725
0.61518.1354161166886.76618114914965
0.62519.3857021206037.27725566732642
0.63520.7384364120957.87401225299018
0.64522.2071035946578.54195094488554
0.65523.8024388296789.26014591000728
0.66525.5312545847869.99909008114752
0.67527.3954091042810.7235737893447
0.68529.39110819470811.3961773904612
0.69531.50870187466111.9802392345375
0.7533.73307413979412.444345465663
0.71536.04463959650112.7657847053159
0.72538.42087273514312.9346218631515
0.73540.83822271199612.9504561914556
0.74543.27422250430912.8271083427683
0.75545.70959075949712.5880537015695
0.76548.13014130549912.2660236695301
0.77550.52834434776411.8994362129479
0.78552.90440745319311.529938431327
0.79555.26675118872811.2007140894325
0.8557.63174348464910.9521077167130
0.81560.02254430504110.8174505387398
0.82562.46692997889710.8179990334458
0.83564.99405790845610.9546865297761
0.84567.63034113798411.2050459802803
0.85570.39495091270511.5210303033740
0.86573.29591576246111.8335945924655
0.87576.32818328269812.0633385132943
0.88579.475039912412.1373231970920
0.89582.71350716642312.0120918152472
0.9586.0224232086711.6957989010469
0.91589.38914434985211.2584194183696
0.92592.80858868219710.8080322755466
0.93596.2693316048810.4117722069267
0.94599.7281212389769.98481415828931
0.95603.0855658797259.2612537332415
0.96606.1841002965857.95133134446655
0.97608.8418254187316.01972846050202
0.98610.9076314791883.89324975066248
0.99612.2977509553192.38678978490334


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')