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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 computationWed, 10 Aug 2016 22:16:04 +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/2016/Aug/10/t14708639809dwlk7bmvq1u9xn.htm/, Retrieved Tue, 30 Apr 2024 01:16:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296254, Retrieved Tue, 30 Apr 2024 01:16:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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] [] [2016-08-10 21:16:04] [409a9d71664281dd1fd3bb0995266dd0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296254&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296254&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296254&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01395.26414111868167.4482358925603
0.02443.15029958783534.9274458286591
0.03470.66079958754319.2481312166609
0.04485.2156592543516.2919088259001
0.05495.3781512304617.5702936255351
0.06504.56148968770518.8903820888439
0.07513.48762973828319.67621053046
0.08522.13640605722520.0829332264369
0.09530.39952192133920.0795834670647
0.1538.18001580006719.5915083465309
0.11545.3950033167718.6956078084551
0.12551.99605436680717.5901664139883
0.13557.9876505240116.477384744768
0.14563.42550399881515.5018408829707
0.15568.40191221836314.7621426138151
0.16573.03017123249414.3363972380242
0.17577.43118872471914.2770961962799
0.18581.71885391450214.5687516224448
0.19585.98198910039815.0940603517025
0.2590.26612187459115.6444073227082
0.21594.56215324625815.9808957126746
0.22598.80825256356215.9057558100599
0.23602.90659162053515.3219627588792
0.24606.7506329979414.2615415643999
0.25610.2546008462912.8724540020429
0.26613.37618570874711.3792809054077
0.27616.12635364438910.0272544864388
0.28618.564807486599.02568371045275
0.29620.7841571347418.49598605876294
0.3622.8886207718448.44116213553376
0.31624.9735106088528.75611898065959
0.32627.1102408481449.28412954066723
0.33629.3390876438959.86981068993627
0.34631.66944883121210.3898650025233
0.35634.08560804986710.7636973126542
0.36636.55527896886110.950994261293
0.37639.03838968155910.9456042266613
0.38641.49434314669810.764052085888
0.39643.88697450348110.4367248523165
0.4646.1872944787119.99855847969156
0.41648.3746531074969.48550172284444
0.42650.4371084926328.93205249063661
0.43652.3715920857888.3754686092057
0.44654.1840648089197.854984810878
0.45655.8894408703237.41384545866595
0.46657.51079271947.09241232730779
0.47659.0773537786746.92307762982379
0.48660.6211184682066.91482777547651
0.49662.1723080734067.05116887033704
0.5663.7544569356457.28285058189813
0.51665.3801917325467.54306661839804
0.52667.0487946446167.75893032629497
0.53668.7463253604377.86828720848885
0.54670.4485023424737.82918889140362
0.55672.1258671119217.6309868432367
0.56673.7501642866087.29463539278204
0.57675.3005300173436.86937478295927
0.58676.7680922003946.42310639695276
0.59678.1579562404726.02979702250736
0.6679.4881919889845.75437355564655
0.61680.786181756335.63616839664012
0.62682.0833272034985.67843767129454
0.63683.4094580376315.85317429570127
0.64684.7882402293546.11235386928397
0.65686.2344798221446.40484106688065
0.66687.7536174480836.68600746524808
0.67689.3431241445756.92794467109592
0.68690.9951210960357.11470298205154
0.69692.6994251145977.24473700953662
0.7694.4463185894687.32655299149751
0.71696.2285444565647.37524794731708
0.72698.0422388495767.40821911114819
0.73699.886707895477.43985584018591
0.74701.7631540271697.47727870126028
0.75703.6726861142617.51603546923211
0.76705.6141973938327.54177922053025
0.77707.5829237692217.53592563260102
0.78709.5706382377547.4811924366315
0.79711.5683934885237.37265904300326
0.8713.5723472495997.22906202728116
0.81715.5923893955557.10272699175051
0.82717.6621806291857.08534790470637
0.83719.8483589228857.30166733712456
0.84722.2568332153717.88177850312315
0.85725.0355565302328.92885174236867
0.86728.37490679228310.5111135767597
0.87732.50613535695312.6766952382474
0.88737.69233061788115.4518377613824
0.89744.19554517108318.7699363839774
0.9752.19724818560222.319548230691
0.91761.66520172689725.3856064404722
0.92772.21186696200126.9006786598906
0.93783.05905106373625.8789912646384
0.94793.24470981203322.1403941889981
0.95802.10949398698616.8436835826329
0.96809.9241978772712.3567119649373
0.97818.49163325859511.4245516376248
0.98831.47236726062315.9912150891474
0.99851.66611120812127.4233284873122

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 395.264141118681 & 67.4482358925603 \tabularnewline
0.02 & 443.150299587835 & 34.9274458286591 \tabularnewline
0.03 & 470.660799587543 & 19.2481312166609 \tabularnewline
0.04 & 485.21565925435 & 16.2919088259001 \tabularnewline
0.05 & 495.37815123046 & 17.5702936255351 \tabularnewline
0.06 & 504.561489687705 & 18.8903820888439 \tabularnewline
0.07 & 513.487629738283 & 19.67621053046 \tabularnewline
0.08 & 522.136406057225 & 20.0829332264369 \tabularnewline
0.09 & 530.399521921339 & 20.0795834670647 \tabularnewline
0.1 & 538.180015800067 & 19.5915083465309 \tabularnewline
0.11 & 545.39500331677 & 18.6956078084551 \tabularnewline
0.12 & 551.996054366807 & 17.5901664139883 \tabularnewline
0.13 & 557.98765052401 & 16.477384744768 \tabularnewline
0.14 & 563.425503998815 & 15.5018408829707 \tabularnewline
0.15 & 568.401912218363 & 14.7621426138151 \tabularnewline
0.16 & 573.030171232494 & 14.3363972380242 \tabularnewline
0.17 & 577.431188724719 & 14.2770961962799 \tabularnewline
0.18 & 581.718853914502 & 14.5687516224448 \tabularnewline
0.19 & 585.981989100398 & 15.0940603517025 \tabularnewline
0.2 & 590.266121874591 & 15.6444073227082 \tabularnewline
0.21 & 594.562153246258 & 15.9808957126746 \tabularnewline
0.22 & 598.808252563562 & 15.9057558100599 \tabularnewline
0.23 & 602.906591620535 & 15.3219627588792 \tabularnewline
0.24 & 606.75063299794 & 14.2615415643999 \tabularnewline
0.25 & 610.25460084629 & 12.8724540020429 \tabularnewline
0.26 & 613.376185708747 & 11.3792809054077 \tabularnewline
0.27 & 616.126353644389 & 10.0272544864388 \tabularnewline
0.28 & 618.56480748659 & 9.02568371045275 \tabularnewline
0.29 & 620.784157134741 & 8.49598605876294 \tabularnewline
0.3 & 622.888620771844 & 8.44116213553376 \tabularnewline
0.31 & 624.973510608852 & 8.75611898065959 \tabularnewline
0.32 & 627.110240848144 & 9.28412954066723 \tabularnewline
0.33 & 629.339087643895 & 9.86981068993627 \tabularnewline
0.34 & 631.669448831212 & 10.3898650025233 \tabularnewline
0.35 & 634.085608049867 & 10.7636973126542 \tabularnewline
0.36 & 636.555278968861 & 10.950994261293 \tabularnewline
0.37 & 639.038389681559 & 10.9456042266613 \tabularnewline
0.38 & 641.494343146698 & 10.764052085888 \tabularnewline
0.39 & 643.886974503481 & 10.4367248523165 \tabularnewline
0.4 & 646.187294478711 & 9.99855847969156 \tabularnewline
0.41 & 648.374653107496 & 9.48550172284444 \tabularnewline
0.42 & 650.437108492632 & 8.93205249063661 \tabularnewline
0.43 & 652.371592085788 & 8.3754686092057 \tabularnewline
0.44 & 654.184064808919 & 7.854984810878 \tabularnewline
0.45 & 655.889440870323 & 7.41384545866595 \tabularnewline
0.46 & 657.5107927194 & 7.09241232730779 \tabularnewline
0.47 & 659.077353778674 & 6.92307762982379 \tabularnewline
0.48 & 660.621118468206 & 6.91482777547651 \tabularnewline
0.49 & 662.172308073406 & 7.05116887033704 \tabularnewline
0.5 & 663.754456935645 & 7.28285058189813 \tabularnewline
0.51 & 665.380191732546 & 7.54306661839804 \tabularnewline
0.52 & 667.048794644616 & 7.75893032629497 \tabularnewline
0.53 & 668.746325360437 & 7.86828720848885 \tabularnewline
0.54 & 670.448502342473 & 7.82918889140362 \tabularnewline
0.55 & 672.125867111921 & 7.6309868432367 \tabularnewline
0.56 & 673.750164286608 & 7.29463539278204 \tabularnewline
0.57 & 675.300530017343 & 6.86937478295927 \tabularnewline
0.58 & 676.768092200394 & 6.42310639695276 \tabularnewline
0.59 & 678.157956240472 & 6.02979702250736 \tabularnewline
0.6 & 679.488191988984 & 5.75437355564655 \tabularnewline
0.61 & 680.78618175633 & 5.63616839664012 \tabularnewline
0.62 & 682.083327203498 & 5.67843767129454 \tabularnewline
0.63 & 683.409458037631 & 5.85317429570127 \tabularnewline
0.64 & 684.788240229354 & 6.11235386928397 \tabularnewline
0.65 & 686.234479822144 & 6.40484106688065 \tabularnewline
0.66 & 687.753617448083 & 6.68600746524808 \tabularnewline
0.67 & 689.343124144575 & 6.92794467109592 \tabularnewline
0.68 & 690.995121096035 & 7.11470298205154 \tabularnewline
0.69 & 692.699425114597 & 7.24473700953662 \tabularnewline
0.7 & 694.446318589468 & 7.32655299149751 \tabularnewline
0.71 & 696.228544456564 & 7.37524794731708 \tabularnewline
0.72 & 698.042238849576 & 7.40821911114819 \tabularnewline
0.73 & 699.88670789547 & 7.43985584018591 \tabularnewline
0.74 & 701.763154027169 & 7.47727870126028 \tabularnewline
0.75 & 703.672686114261 & 7.51603546923211 \tabularnewline
0.76 & 705.614197393832 & 7.54177922053025 \tabularnewline
0.77 & 707.582923769221 & 7.53592563260102 \tabularnewline
0.78 & 709.570638237754 & 7.4811924366315 \tabularnewline
0.79 & 711.568393488523 & 7.37265904300326 \tabularnewline
0.8 & 713.572347249599 & 7.22906202728116 \tabularnewline
0.81 & 715.592389395555 & 7.10272699175051 \tabularnewline
0.82 & 717.662180629185 & 7.08534790470637 \tabularnewline
0.83 & 719.848358922885 & 7.30166733712456 \tabularnewline
0.84 & 722.256833215371 & 7.88177850312315 \tabularnewline
0.85 & 725.035556530232 & 8.92885174236867 \tabularnewline
0.86 & 728.374906792283 & 10.5111135767597 \tabularnewline
0.87 & 732.506135356953 & 12.6766952382474 \tabularnewline
0.88 & 737.692330617881 & 15.4518377613824 \tabularnewline
0.89 & 744.195545171083 & 18.7699363839774 \tabularnewline
0.9 & 752.197248185602 & 22.319548230691 \tabularnewline
0.91 & 761.665201726897 & 25.3856064404722 \tabularnewline
0.92 & 772.211866962001 & 26.9006786598906 \tabularnewline
0.93 & 783.059051063736 & 25.8789912646384 \tabularnewline
0.94 & 793.244709812033 & 22.1403941889981 \tabularnewline
0.95 & 802.109493986986 & 16.8436835826329 \tabularnewline
0.96 & 809.92419787727 & 12.3567119649373 \tabularnewline
0.97 & 818.491633258595 & 11.4245516376248 \tabularnewline
0.98 & 831.472367260623 & 15.9912150891474 \tabularnewline
0.99 & 851.666111208121 & 27.4233284873122 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296254&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]395.264141118681[/C][C]67.4482358925603[/C][/ROW]
[ROW][C]0.02[/C][C]443.150299587835[/C][C]34.9274458286591[/C][/ROW]
[ROW][C]0.03[/C][C]470.660799587543[/C][C]19.2481312166609[/C][/ROW]
[ROW][C]0.04[/C][C]485.21565925435[/C][C]16.2919088259001[/C][/ROW]
[ROW][C]0.05[/C][C]495.37815123046[/C][C]17.5702936255351[/C][/ROW]
[ROW][C]0.06[/C][C]504.561489687705[/C][C]18.8903820888439[/C][/ROW]
[ROW][C]0.07[/C][C]513.487629738283[/C][C]19.67621053046[/C][/ROW]
[ROW][C]0.08[/C][C]522.136406057225[/C][C]20.0829332264369[/C][/ROW]
[ROW][C]0.09[/C][C]530.399521921339[/C][C]20.0795834670647[/C][/ROW]
[ROW][C]0.1[/C][C]538.180015800067[/C][C]19.5915083465309[/C][/ROW]
[ROW][C]0.11[/C][C]545.39500331677[/C][C]18.6956078084551[/C][/ROW]
[ROW][C]0.12[/C][C]551.996054366807[/C][C]17.5901664139883[/C][/ROW]
[ROW][C]0.13[/C][C]557.98765052401[/C][C]16.477384744768[/C][/ROW]
[ROW][C]0.14[/C][C]563.425503998815[/C][C]15.5018408829707[/C][/ROW]
[ROW][C]0.15[/C][C]568.401912218363[/C][C]14.7621426138151[/C][/ROW]
[ROW][C]0.16[/C][C]573.030171232494[/C][C]14.3363972380242[/C][/ROW]
[ROW][C]0.17[/C][C]577.431188724719[/C][C]14.2770961962799[/C][/ROW]
[ROW][C]0.18[/C][C]581.718853914502[/C][C]14.5687516224448[/C][/ROW]
[ROW][C]0.19[/C][C]585.981989100398[/C][C]15.0940603517025[/C][/ROW]
[ROW][C]0.2[/C][C]590.266121874591[/C][C]15.6444073227082[/C][/ROW]
[ROW][C]0.21[/C][C]594.562153246258[/C][C]15.9808957126746[/C][/ROW]
[ROW][C]0.22[/C][C]598.808252563562[/C][C]15.9057558100599[/C][/ROW]
[ROW][C]0.23[/C][C]602.906591620535[/C][C]15.3219627588792[/C][/ROW]
[ROW][C]0.24[/C][C]606.75063299794[/C][C]14.2615415643999[/C][/ROW]
[ROW][C]0.25[/C][C]610.25460084629[/C][C]12.8724540020429[/C][/ROW]
[ROW][C]0.26[/C][C]613.376185708747[/C][C]11.3792809054077[/C][/ROW]
[ROW][C]0.27[/C][C]616.126353644389[/C][C]10.0272544864388[/C][/ROW]
[ROW][C]0.28[/C][C]618.56480748659[/C][C]9.02568371045275[/C][/ROW]
[ROW][C]0.29[/C][C]620.784157134741[/C][C]8.49598605876294[/C][/ROW]
[ROW][C]0.3[/C][C]622.888620771844[/C][C]8.44116213553376[/C][/ROW]
[ROW][C]0.31[/C][C]624.973510608852[/C][C]8.75611898065959[/C][/ROW]
[ROW][C]0.32[/C][C]627.110240848144[/C][C]9.28412954066723[/C][/ROW]
[ROW][C]0.33[/C][C]629.339087643895[/C][C]9.86981068993627[/C][/ROW]
[ROW][C]0.34[/C][C]631.669448831212[/C][C]10.3898650025233[/C][/ROW]
[ROW][C]0.35[/C][C]634.085608049867[/C][C]10.7636973126542[/C][/ROW]
[ROW][C]0.36[/C][C]636.555278968861[/C][C]10.950994261293[/C][/ROW]
[ROW][C]0.37[/C][C]639.038389681559[/C][C]10.9456042266613[/C][/ROW]
[ROW][C]0.38[/C][C]641.494343146698[/C][C]10.764052085888[/C][/ROW]
[ROW][C]0.39[/C][C]643.886974503481[/C][C]10.4367248523165[/C][/ROW]
[ROW][C]0.4[/C][C]646.187294478711[/C][C]9.99855847969156[/C][/ROW]
[ROW][C]0.41[/C][C]648.374653107496[/C][C]9.48550172284444[/C][/ROW]
[ROW][C]0.42[/C][C]650.437108492632[/C][C]8.93205249063661[/C][/ROW]
[ROW][C]0.43[/C][C]652.371592085788[/C][C]8.3754686092057[/C][/ROW]
[ROW][C]0.44[/C][C]654.184064808919[/C][C]7.854984810878[/C][/ROW]
[ROW][C]0.45[/C][C]655.889440870323[/C][C]7.41384545866595[/C][/ROW]
[ROW][C]0.46[/C][C]657.5107927194[/C][C]7.09241232730779[/C][/ROW]
[ROW][C]0.47[/C][C]659.077353778674[/C][C]6.92307762982379[/C][/ROW]
[ROW][C]0.48[/C][C]660.621118468206[/C][C]6.91482777547651[/C][/ROW]
[ROW][C]0.49[/C][C]662.172308073406[/C][C]7.05116887033704[/C][/ROW]
[ROW][C]0.5[/C][C]663.754456935645[/C][C]7.28285058189813[/C][/ROW]
[ROW][C]0.51[/C][C]665.380191732546[/C][C]7.54306661839804[/C][/ROW]
[ROW][C]0.52[/C][C]667.048794644616[/C][C]7.75893032629497[/C][/ROW]
[ROW][C]0.53[/C][C]668.746325360437[/C][C]7.86828720848885[/C][/ROW]
[ROW][C]0.54[/C][C]670.448502342473[/C][C]7.82918889140362[/C][/ROW]
[ROW][C]0.55[/C][C]672.125867111921[/C][C]7.6309868432367[/C][/ROW]
[ROW][C]0.56[/C][C]673.750164286608[/C][C]7.29463539278204[/C][/ROW]
[ROW][C]0.57[/C][C]675.300530017343[/C][C]6.86937478295927[/C][/ROW]
[ROW][C]0.58[/C][C]676.768092200394[/C][C]6.42310639695276[/C][/ROW]
[ROW][C]0.59[/C][C]678.157956240472[/C][C]6.02979702250736[/C][/ROW]
[ROW][C]0.6[/C][C]679.488191988984[/C][C]5.75437355564655[/C][/ROW]
[ROW][C]0.61[/C][C]680.78618175633[/C][C]5.63616839664012[/C][/ROW]
[ROW][C]0.62[/C][C]682.083327203498[/C][C]5.67843767129454[/C][/ROW]
[ROW][C]0.63[/C][C]683.409458037631[/C][C]5.85317429570127[/C][/ROW]
[ROW][C]0.64[/C][C]684.788240229354[/C][C]6.11235386928397[/C][/ROW]
[ROW][C]0.65[/C][C]686.234479822144[/C][C]6.40484106688065[/C][/ROW]
[ROW][C]0.66[/C][C]687.753617448083[/C][C]6.68600746524808[/C][/ROW]
[ROW][C]0.67[/C][C]689.343124144575[/C][C]6.92794467109592[/C][/ROW]
[ROW][C]0.68[/C][C]690.995121096035[/C][C]7.11470298205154[/C][/ROW]
[ROW][C]0.69[/C][C]692.699425114597[/C][C]7.24473700953662[/C][/ROW]
[ROW][C]0.7[/C][C]694.446318589468[/C][C]7.32655299149751[/C][/ROW]
[ROW][C]0.71[/C][C]696.228544456564[/C][C]7.37524794731708[/C][/ROW]
[ROW][C]0.72[/C][C]698.042238849576[/C][C]7.40821911114819[/C][/ROW]
[ROW][C]0.73[/C][C]699.88670789547[/C][C]7.43985584018591[/C][/ROW]
[ROW][C]0.74[/C][C]701.763154027169[/C][C]7.47727870126028[/C][/ROW]
[ROW][C]0.75[/C][C]703.672686114261[/C][C]7.51603546923211[/C][/ROW]
[ROW][C]0.76[/C][C]705.614197393832[/C][C]7.54177922053025[/C][/ROW]
[ROW][C]0.77[/C][C]707.582923769221[/C][C]7.53592563260102[/C][/ROW]
[ROW][C]0.78[/C][C]709.570638237754[/C][C]7.4811924366315[/C][/ROW]
[ROW][C]0.79[/C][C]711.568393488523[/C][C]7.37265904300326[/C][/ROW]
[ROW][C]0.8[/C][C]713.572347249599[/C][C]7.22906202728116[/C][/ROW]
[ROW][C]0.81[/C][C]715.592389395555[/C][C]7.10272699175051[/C][/ROW]
[ROW][C]0.82[/C][C]717.662180629185[/C][C]7.08534790470637[/C][/ROW]
[ROW][C]0.83[/C][C]719.848358922885[/C][C]7.30166733712456[/C][/ROW]
[ROW][C]0.84[/C][C]722.256833215371[/C][C]7.88177850312315[/C][/ROW]
[ROW][C]0.85[/C][C]725.035556530232[/C][C]8.92885174236867[/C][/ROW]
[ROW][C]0.86[/C][C]728.374906792283[/C][C]10.5111135767597[/C][/ROW]
[ROW][C]0.87[/C][C]732.506135356953[/C][C]12.6766952382474[/C][/ROW]
[ROW][C]0.88[/C][C]737.692330617881[/C][C]15.4518377613824[/C][/ROW]
[ROW][C]0.89[/C][C]744.195545171083[/C][C]18.7699363839774[/C][/ROW]
[ROW][C]0.9[/C][C]752.197248185602[/C][C]22.319548230691[/C][/ROW]
[ROW][C]0.91[/C][C]761.665201726897[/C][C]25.3856064404722[/C][/ROW]
[ROW][C]0.92[/C][C]772.211866962001[/C][C]26.9006786598906[/C][/ROW]
[ROW][C]0.93[/C][C]783.059051063736[/C][C]25.8789912646384[/C][/ROW]
[ROW][C]0.94[/C][C]793.244709812033[/C][C]22.1403941889981[/C][/ROW]
[ROW][C]0.95[/C][C]802.109493986986[/C][C]16.8436835826329[/C][/ROW]
[ROW][C]0.96[/C][C]809.92419787727[/C][C]12.3567119649373[/C][/ROW]
[ROW][C]0.97[/C][C]818.491633258595[/C][C]11.4245516376248[/C][/ROW]
[ROW][C]0.98[/C][C]831.472367260623[/C][C]15.9912150891474[/C][/ROW]
[ROW][C]0.99[/C][C]851.666111208121[/C][C]27.4233284873122[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296254&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296254&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
0.01395.26414111868167.4482358925603
0.02443.15029958783534.9274458286591
0.03470.66079958754319.2481312166609
0.04485.2156592543516.2919088259001
0.05495.3781512304617.5702936255351
0.06504.56148968770518.8903820888439
0.07513.48762973828319.67621053046
0.08522.13640605722520.0829332264369
0.09530.39952192133920.0795834670647
0.1538.18001580006719.5915083465309
0.11545.3950033167718.6956078084551
0.12551.99605436680717.5901664139883
0.13557.9876505240116.477384744768
0.14563.42550399881515.5018408829707
0.15568.40191221836314.7621426138151
0.16573.03017123249414.3363972380242
0.17577.43118872471914.2770961962799
0.18581.71885391450214.5687516224448
0.19585.98198910039815.0940603517025
0.2590.26612187459115.6444073227082
0.21594.56215324625815.9808957126746
0.22598.80825256356215.9057558100599
0.23602.90659162053515.3219627588792
0.24606.7506329979414.2615415643999
0.25610.2546008462912.8724540020429
0.26613.37618570874711.3792809054077
0.27616.12635364438910.0272544864388
0.28618.564807486599.02568371045275
0.29620.7841571347418.49598605876294
0.3622.8886207718448.44116213553376
0.31624.9735106088528.75611898065959
0.32627.1102408481449.28412954066723
0.33629.3390876438959.86981068993627
0.34631.66944883121210.3898650025233
0.35634.08560804986710.7636973126542
0.36636.55527896886110.950994261293
0.37639.03838968155910.9456042266613
0.38641.49434314669810.764052085888
0.39643.88697450348110.4367248523165
0.4646.1872944787119.99855847969156
0.41648.3746531074969.48550172284444
0.42650.4371084926328.93205249063661
0.43652.3715920857888.3754686092057
0.44654.1840648089197.854984810878
0.45655.8894408703237.41384545866595
0.46657.51079271947.09241232730779
0.47659.0773537786746.92307762982379
0.48660.6211184682066.91482777547651
0.49662.1723080734067.05116887033704
0.5663.7544569356457.28285058189813
0.51665.3801917325467.54306661839804
0.52667.0487946446167.75893032629497
0.53668.7463253604377.86828720848885
0.54670.4485023424737.82918889140362
0.55672.1258671119217.6309868432367
0.56673.7501642866087.29463539278204
0.57675.3005300173436.86937478295927
0.58676.7680922003946.42310639695276
0.59678.1579562404726.02979702250736
0.6679.4881919889845.75437355564655
0.61680.786181756335.63616839664012
0.62682.0833272034985.67843767129454
0.63683.4094580376315.85317429570127
0.64684.7882402293546.11235386928397
0.65686.2344798221446.40484106688065
0.66687.7536174480836.68600746524808
0.67689.3431241445756.92794467109592
0.68690.9951210960357.11470298205154
0.69692.6994251145977.24473700953662
0.7694.4463185894687.32655299149751
0.71696.2285444565647.37524794731708
0.72698.0422388495767.40821911114819
0.73699.886707895477.43985584018591
0.74701.7631540271697.47727870126028
0.75703.6726861142617.51603546923211
0.76705.6141973938327.54177922053025
0.77707.5829237692217.53592563260102
0.78709.5706382377547.4811924366315
0.79711.5683934885237.37265904300326
0.8713.5723472495997.22906202728116
0.81715.5923893955557.10272699175051
0.82717.6621806291857.08534790470637
0.83719.8483589228857.30166733712456
0.84722.2568332153717.88177850312315
0.85725.0355565302328.92885174236867
0.86728.37490679228310.5111135767597
0.87732.50613535695312.6766952382474
0.88737.69233061788115.4518377613824
0.89744.19554517108318.7699363839774
0.9752.19724818560222.319548230691
0.91761.66520172689725.3856064404722
0.92772.21186696200126.9006786598906
0.93783.05905106373625.8789912646384
0.94793.24470981203322.1403941889981
0.95802.10949398698616.8436835826329
0.96809.9241978772712.3567119649373
0.97818.49163325859511.4245516376248
0.98831.47236726062315.9912150891474
0.99851.66611120812127.4233284873122


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')