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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, 21 Aug 2013 05:38:53 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Aug/21/t1377077972opuv1wrn3nq46iq.htm/, Retrieved Sat, 27 Apr 2024 08:30:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211320, Retrieved Sat, 27 Apr 2024 08:30:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJoris Claus
Estimated Impact103

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] [Tijdreeks B - Stap 7] [2013-08-21 09:38:53] [5b48cba8ffed7710e2defc0d8d22bd89] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
580
610
550
515
555
580
585
545
580
605
625
600
590
605
475
535
560
610
585
560
590
625
620
615
560
665
495
555
545
605
610
610
550
600
660
590
555
650
530
565
580
630
605
595
565
585
685
585
520
670
525
565
575
610
605
575
565
575
720
580
565
675
525
575
560
585
550
560
605
585
685
585
555
660
530
575
580
615
570
550
635
580
690
575
590
685
540
580
615
605
565
555
625
605
685
540
610
680
560
575
590
625
520
590
625
560
715
575

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211320&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211320&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211320&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01486.48594250047418.1866434492797
0.02501.22685208447614.6877768996707
0.03512.03820470308810.0308908912665
0.04518.6951812260436.93272129292633
0.05522.9861747179996.02298863768081
0.06526.3140477450076.26610256792509
0.07529.3712683424796.81573191156261
0.08532.3873331532037.28687493374553
0.09535.374774433697.51031734130379
0.1538.2673170246917.43808745760576
0.11540.9865083343367.10848159468292
0.12543.4733680113376.60849941782264
0.13545.700216692476.03650432526525
0.14547.6695005091795.47523324252497
0.15549.4054141428744.97953540327456
0.16550.9434071034644.5745904126209
0.17552.3210197156274.25725085684966
0.18553.5717427052394.01181145434613
0.19554.7222354473953.81739404634806
0.2555.7923666157213.65749003770681
0.21556.7971118627333.52381151706964
0.22557.7492435975983.4202843406886
0.23558.6618465698653.35840209017479
0.24559.5499196851683.355492272036
0.25560.4306655974493.42597240913613
0.26561.3224790803513.57407096518768
0.27562.2430027091173.79247406148146
0.28563.2068007219054.06102838738889
0.29564.2231849991464.35432527674568
0.3565.2946008806924.63887898349472
0.31566.4158592129624.88165868748191
0.32567.5744203169025.05078610655661
0.33568.7518354872795.1210988598933
0.34569.9262552072835.08359401335476
0.35571.0756244526864.94310547617067
0.36572.1809174851164.72088871988818
0.37573.228673227254.45035902304235
0.38574.212266577694.16553272280671
0.39575.1317427548343.89880889950593
0.4575.9924846665163.66951492281648
0.41576.8032857624563.48771996463806
0.42577.5744504509363.35330504350339
0.43578.3163601418843.26102461638186
0.44579.0386508587973.20638971896773
0.45579.749900703583.18490589722147
0.46580.4576198947613.19460367980096
0.47581.1683761843883.23026236632145
0.48581.8880015668133.28847887553147
0.49582.6219184855113.36676100119406
0.5583.3756350486453.46582185967922
0.51584.1553872546823.59131298393576
0.52584.9687960807153.75264741584344
0.53585.8253154930413.95906695284856
0.54586.7362146833684.22136054158114
0.55587.7138792337374.54427302512534
0.56588.7703293259834.9224064583371
0.57589.9150294429735.33910126031711
0.58591.152285388025.76496744517005
0.59592.4787505081146.1569780424106
0.6593.8817210937676.46843522133018
0.61595.3388994269426.65377722854837
0.62596.8200730573816.6802140364666
0.63598.2907072594466.53495784607053
0.64599.7168864357876.23187412998787
0.65601.0705659044585.80873576809933
0.66602.3339129760715.3212031005536
0.67603.5017390953674.83473731630825
0.68604.5816023870614.40792766233489
0.69605.5918763947364.08758629914961
0.7606.5586392731313.89655732215353
0.71607.5123980340523.84477971095649
0.72608.485368582793.92496345668344
0.73609.5094618846724.12947156301207
0.74610.6146264082214.44432240569462
0.75611.8271188535184.84889301058387
0.76613.1677762401735.31308402398948
0.77614.6512568764385.79971961261166
0.78616.287961422566.28023204828473
0.79618.0902064605686.75492142448975
0.8620.082644742027.27637020680887
0.81622.3140028028267.94960780676128
0.82624.864060656878.91151724336499
0.83627.83850499967210.2510792447639
0.84631.34700024983511.9322780388008
0.85635.46713164615513.7577114598116
0.86640.20621375150615.4051497444463
0.87645.47860374921316.5317720594324
0.88651.11215472649216.8968531291929
0.89656.88278555336416.4491454598339
0.9662.55864129695915.3168302509851
0.91667.92936444063713.700805679326
0.92672.81292069375511.75014624337
0.93677.0691935763089.55345427377923
0.94680.6850168715527.31635218705601
0.95683.9912008048795.69785814662907
0.96687.9532836963536.25844213863681
0.97694.125983185779.9861366094794
0.98703.44877692235113.9571502164616
0.99713.85753434011911.7137803898984

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 486.485942500474 & 18.1866434492797 \tabularnewline
0.02 & 501.226852084476 & 14.6877768996707 \tabularnewline
0.03 & 512.038204703088 & 10.0308908912665 \tabularnewline
0.04 & 518.695181226043 & 6.93272129292633 \tabularnewline
0.05 & 522.986174717999 & 6.02298863768081 \tabularnewline
0.06 & 526.314047745007 & 6.26610256792509 \tabularnewline
0.07 & 529.371268342479 & 6.81573191156261 \tabularnewline
0.08 & 532.387333153203 & 7.28687493374553 \tabularnewline
0.09 & 535.37477443369 & 7.51031734130379 \tabularnewline
0.1 & 538.267317024691 & 7.43808745760576 \tabularnewline
0.11 & 540.986508334336 & 7.10848159468292 \tabularnewline
0.12 & 543.473368011337 & 6.60849941782264 \tabularnewline
0.13 & 545.70021669247 & 6.03650432526525 \tabularnewline
0.14 & 547.669500509179 & 5.47523324252497 \tabularnewline
0.15 & 549.405414142874 & 4.97953540327456 \tabularnewline
0.16 & 550.943407103464 & 4.5745904126209 \tabularnewline
0.17 & 552.321019715627 & 4.25725085684966 \tabularnewline
0.18 & 553.571742705239 & 4.01181145434613 \tabularnewline
0.19 & 554.722235447395 & 3.81739404634806 \tabularnewline
0.2 & 555.792366615721 & 3.65749003770681 \tabularnewline
0.21 & 556.797111862733 & 3.52381151706964 \tabularnewline
0.22 & 557.749243597598 & 3.4202843406886 \tabularnewline
0.23 & 558.661846569865 & 3.35840209017479 \tabularnewline
0.24 & 559.549919685168 & 3.355492272036 \tabularnewline
0.25 & 560.430665597449 & 3.42597240913613 \tabularnewline
0.26 & 561.322479080351 & 3.57407096518768 \tabularnewline
0.27 & 562.243002709117 & 3.79247406148146 \tabularnewline
0.28 & 563.206800721905 & 4.06102838738889 \tabularnewline
0.29 & 564.223184999146 & 4.35432527674568 \tabularnewline
0.3 & 565.294600880692 & 4.63887898349472 \tabularnewline
0.31 & 566.415859212962 & 4.88165868748191 \tabularnewline
0.32 & 567.574420316902 & 5.05078610655661 \tabularnewline
0.33 & 568.751835487279 & 5.1210988598933 \tabularnewline
0.34 & 569.926255207283 & 5.08359401335476 \tabularnewline
0.35 & 571.075624452686 & 4.94310547617067 \tabularnewline
0.36 & 572.180917485116 & 4.72088871988818 \tabularnewline
0.37 & 573.22867322725 & 4.45035902304235 \tabularnewline
0.38 & 574.21226657769 & 4.16553272280671 \tabularnewline
0.39 & 575.131742754834 & 3.89880889950593 \tabularnewline
0.4 & 575.992484666516 & 3.66951492281648 \tabularnewline
0.41 & 576.803285762456 & 3.48771996463806 \tabularnewline
0.42 & 577.574450450936 & 3.35330504350339 \tabularnewline
0.43 & 578.316360141884 & 3.26102461638186 \tabularnewline
0.44 & 579.038650858797 & 3.20638971896773 \tabularnewline
0.45 & 579.74990070358 & 3.18490589722147 \tabularnewline
0.46 & 580.457619894761 & 3.19460367980096 \tabularnewline
0.47 & 581.168376184388 & 3.23026236632145 \tabularnewline
0.48 & 581.888001566813 & 3.28847887553147 \tabularnewline
0.49 & 582.621918485511 & 3.36676100119406 \tabularnewline
0.5 & 583.375635048645 & 3.46582185967922 \tabularnewline
0.51 & 584.155387254682 & 3.59131298393576 \tabularnewline
0.52 & 584.968796080715 & 3.75264741584344 \tabularnewline
0.53 & 585.825315493041 & 3.95906695284856 \tabularnewline
0.54 & 586.736214683368 & 4.22136054158114 \tabularnewline
0.55 & 587.713879233737 & 4.54427302512534 \tabularnewline
0.56 & 588.770329325983 & 4.9224064583371 \tabularnewline
0.57 & 589.915029442973 & 5.33910126031711 \tabularnewline
0.58 & 591.15228538802 & 5.76496744517005 \tabularnewline
0.59 & 592.478750508114 & 6.1569780424106 \tabularnewline
0.6 & 593.881721093767 & 6.46843522133018 \tabularnewline
0.61 & 595.338899426942 & 6.65377722854837 \tabularnewline
0.62 & 596.820073057381 & 6.6802140364666 \tabularnewline
0.63 & 598.290707259446 & 6.53495784607053 \tabularnewline
0.64 & 599.716886435787 & 6.23187412998787 \tabularnewline
0.65 & 601.070565904458 & 5.80873576809933 \tabularnewline
0.66 & 602.333912976071 & 5.3212031005536 \tabularnewline
0.67 & 603.501739095367 & 4.83473731630825 \tabularnewline
0.68 & 604.581602387061 & 4.40792766233489 \tabularnewline
0.69 & 605.591876394736 & 4.08758629914961 \tabularnewline
0.7 & 606.558639273131 & 3.89655732215353 \tabularnewline
0.71 & 607.512398034052 & 3.84477971095649 \tabularnewline
0.72 & 608.48536858279 & 3.92496345668344 \tabularnewline
0.73 & 609.509461884672 & 4.12947156301207 \tabularnewline
0.74 & 610.614626408221 & 4.44432240569462 \tabularnewline
0.75 & 611.827118853518 & 4.84889301058387 \tabularnewline
0.76 & 613.167776240173 & 5.31308402398948 \tabularnewline
0.77 & 614.651256876438 & 5.79971961261166 \tabularnewline
0.78 & 616.28796142256 & 6.28023204828473 \tabularnewline
0.79 & 618.090206460568 & 6.75492142448975 \tabularnewline
0.8 & 620.08264474202 & 7.27637020680887 \tabularnewline
0.81 & 622.314002802826 & 7.94960780676128 \tabularnewline
0.82 & 624.86406065687 & 8.91151724336499 \tabularnewline
0.83 & 627.838504999672 & 10.2510792447639 \tabularnewline
0.84 & 631.347000249835 & 11.9322780388008 \tabularnewline
0.85 & 635.467131646155 & 13.7577114598116 \tabularnewline
0.86 & 640.206213751506 & 15.4051497444463 \tabularnewline
0.87 & 645.478603749213 & 16.5317720594324 \tabularnewline
0.88 & 651.112154726492 & 16.8968531291929 \tabularnewline
0.89 & 656.882785553364 & 16.4491454598339 \tabularnewline
0.9 & 662.558641296959 & 15.3168302509851 \tabularnewline
0.91 & 667.929364440637 & 13.700805679326 \tabularnewline
0.92 & 672.812920693755 & 11.75014624337 \tabularnewline
0.93 & 677.069193576308 & 9.55345427377923 \tabularnewline
0.94 & 680.685016871552 & 7.31635218705601 \tabularnewline
0.95 & 683.991200804879 & 5.69785814662907 \tabularnewline
0.96 & 687.953283696353 & 6.25844213863681 \tabularnewline
0.97 & 694.12598318577 & 9.9861366094794 \tabularnewline
0.98 & 703.448776922351 & 13.9571502164616 \tabularnewline
0.99 & 713.857534340119 & 11.7137803898984 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211320&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]486.485942500474[/C][C]18.1866434492797[/C][/ROW]
[ROW][C]0.02[/C][C]501.226852084476[/C][C]14.6877768996707[/C][/ROW]
[ROW][C]0.03[/C][C]512.038204703088[/C][C]10.0308908912665[/C][/ROW]
[ROW][C]0.04[/C][C]518.695181226043[/C][C]6.93272129292633[/C][/ROW]
[ROW][C]0.05[/C][C]522.986174717999[/C][C]6.02298863768081[/C][/ROW]
[ROW][C]0.06[/C][C]526.314047745007[/C][C]6.26610256792509[/C][/ROW]
[ROW][C]0.07[/C][C]529.371268342479[/C][C]6.81573191156261[/C][/ROW]
[ROW][C]0.08[/C][C]532.387333153203[/C][C]7.28687493374553[/C][/ROW]
[ROW][C]0.09[/C][C]535.37477443369[/C][C]7.51031734130379[/C][/ROW]
[ROW][C]0.1[/C][C]538.267317024691[/C][C]7.43808745760576[/C][/ROW]
[ROW][C]0.11[/C][C]540.986508334336[/C][C]7.10848159468292[/C][/ROW]
[ROW][C]0.12[/C][C]543.473368011337[/C][C]6.60849941782264[/C][/ROW]
[ROW][C]0.13[/C][C]545.70021669247[/C][C]6.03650432526525[/C][/ROW]
[ROW][C]0.14[/C][C]547.669500509179[/C][C]5.47523324252497[/C][/ROW]
[ROW][C]0.15[/C][C]549.405414142874[/C][C]4.97953540327456[/C][/ROW]
[ROW][C]0.16[/C][C]550.943407103464[/C][C]4.5745904126209[/C][/ROW]
[ROW][C]0.17[/C][C]552.321019715627[/C][C]4.25725085684966[/C][/ROW]
[ROW][C]0.18[/C][C]553.571742705239[/C][C]4.01181145434613[/C][/ROW]
[ROW][C]0.19[/C][C]554.722235447395[/C][C]3.81739404634806[/C][/ROW]
[ROW][C]0.2[/C][C]555.792366615721[/C][C]3.65749003770681[/C][/ROW]
[ROW][C]0.21[/C][C]556.797111862733[/C][C]3.52381151706964[/C][/ROW]
[ROW][C]0.22[/C][C]557.749243597598[/C][C]3.4202843406886[/C][/ROW]
[ROW][C]0.23[/C][C]558.661846569865[/C][C]3.35840209017479[/C][/ROW]
[ROW][C]0.24[/C][C]559.549919685168[/C][C]3.355492272036[/C][/ROW]
[ROW][C]0.25[/C][C]560.430665597449[/C][C]3.42597240913613[/C][/ROW]
[ROW][C]0.26[/C][C]561.322479080351[/C][C]3.57407096518768[/C][/ROW]
[ROW][C]0.27[/C][C]562.243002709117[/C][C]3.79247406148146[/C][/ROW]
[ROW][C]0.28[/C][C]563.206800721905[/C][C]4.06102838738889[/C][/ROW]
[ROW][C]0.29[/C][C]564.223184999146[/C][C]4.35432527674568[/C][/ROW]
[ROW][C]0.3[/C][C]565.294600880692[/C][C]4.63887898349472[/C][/ROW]
[ROW][C]0.31[/C][C]566.415859212962[/C][C]4.88165868748191[/C][/ROW]
[ROW][C]0.32[/C][C]567.574420316902[/C][C]5.05078610655661[/C][/ROW]
[ROW][C]0.33[/C][C]568.751835487279[/C][C]5.1210988598933[/C][/ROW]
[ROW][C]0.34[/C][C]569.926255207283[/C][C]5.08359401335476[/C][/ROW]
[ROW][C]0.35[/C][C]571.075624452686[/C][C]4.94310547617067[/C][/ROW]
[ROW][C]0.36[/C][C]572.180917485116[/C][C]4.72088871988818[/C][/ROW]
[ROW][C]0.37[/C][C]573.22867322725[/C][C]4.45035902304235[/C][/ROW]
[ROW][C]0.38[/C][C]574.21226657769[/C][C]4.16553272280671[/C][/ROW]
[ROW][C]0.39[/C][C]575.131742754834[/C][C]3.89880889950593[/C][/ROW]
[ROW][C]0.4[/C][C]575.992484666516[/C][C]3.66951492281648[/C][/ROW]
[ROW][C]0.41[/C][C]576.803285762456[/C][C]3.48771996463806[/C][/ROW]
[ROW][C]0.42[/C][C]577.574450450936[/C][C]3.35330504350339[/C][/ROW]
[ROW][C]0.43[/C][C]578.316360141884[/C][C]3.26102461638186[/C][/ROW]
[ROW][C]0.44[/C][C]579.038650858797[/C][C]3.20638971896773[/C][/ROW]
[ROW][C]0.45[/C][C]579.74990070358[/C][C]3.18490589722147[/C][/ROW]
[ROW][C]0.46[/C][C]580.457619894761[/C][C]3.19460367980096[/C][/ROW]
[ROW][C]0.47[/C][C]581.168376184388[/C][C]3.23026236632145[/C][/ROW]
[ROW][C]0.48[/C][C]581.888001566813[/C][C]3.28847887553147[/C][/ROW]
[ROW][C]0.49[/C][C]582.621918485511[/C][C]3.36676100119406[/C][/ROW]
[ROW][C]0.5[/C][C]583.375635048645[/C][C]3.46582185967922[/C][/ROW]
[ROW][C]0.51[/C][C]584.155387254682[/C][C]3.59131298393576[/C][/ROW]
[ROW][C]0.52[/C][C]584.968796080715[/C][C]3.75264741584344[/C][/ROW]
[ROW][C]0.53[/C][C]585.825315493041[/C][C]3.95906695284856[/C][/ROW]
[ROW][C]0.54[/C][C]586.736214683368[/C][C]4.22136054158114[/C][/ROW]
[ROW][C]0.55[/C][C]587.713879233737[/C][C]4.54427302512534[/C][/ROW]
[ROW][C]0.56[/C][C]588.770329325983[/C][C]4.9224064583371[/C][/ROW]
[ROW][C]0.57[/C][C]589.915029442973[/C][C]5.33910126031711[/C][/ROW]
[ROW][C]0.58[/C][C]591.15228538802[/C][C]5.76496744517005[/C][/ROW]
[ROW][C]0.59[/C][C]592.478750508114[/C][C]6.1569780424106[/C][/ROW]
[ROW][C]0.6[/C][C]593.881721093767[/C][C]6.46843522133018[/C][/ROW]
[ROW][C]0.61[/C][C]595.338899426942[/C][C]6.65377722854837[/C][/ROW]
[ROW][C]0.62[/C][C]596.820073057381[/C][C]6.6802140364666[/C][/ROW]
[ROW][C]0.63[/C][C]598.290707259446[/C][C]6.53495784607053[/C][/ROW]
[ROW][C]0.64[/C][C]599.716886435787[/C][C]6.23187412998787[/C][/ROW]
[ROW][C]0.65[/C][C]601.070565904458[/C][C]5.80873576809933[/C][/ROW]
[ROW][C]0.66[/C][C]602.333912976071[/C][C]5.3212031005536[/C][/ROW]
[ROW][C]0.67[/C][C]603.501739095367[/C][C]4.83473731630825[/C][/ROW]
[ROW][C]0.68[/C][C]604.581602387061[/C][C]4.40792766233489[/C][/ROW]
[ROW][C]0.69[/C][C]605.591876394736[/C][C]4.08758629914961[/C][/ROW]
[ROW][C]0.7[/C][C]606.558639273131[/C][C]3.89655732215353[/C][/ROW]
[ROW][C]0.71[/C][C]607.512398034052[/C][C]3.84477971095649[/C][/ROW]
[ROW][C]0.72[/C][C]608.48536858279[/C][C]3.92496345668344[/C][/ROW]
[ROW][C]0.73[/C][C]609.509461884672[/C][C]4.12947156301207[/C][/ROW]
[ROW][C]0.74[/C][C]610.614626408221[/C][C]4.44432240569462[/C][/ROW]
[ROW][C]0.75[/C][C]611.827118853518[/C][C]4.84889301058387[/C][/ROW]
[ROW][C]0.76[/C][C]613.167776240173[/C][C]5.31308402398948[/C][/ROW]
[ROW][C]0.77[/C][C]614.651256876438[/C][C]5.79971961261166[/C][/ROW]
[ROW][C]0.78[/C][C]616.28796142256[/C][C]6.28023204828473[/C][/ROW]
[ROW][C]0.79[/C][C]618.090206460568[/C][C]6.75492142448975[/C][/ROW]
[ROW][C]0.8[/C][C]620.08264474202[/C][C]7.27637020680887[/C][/ROW]
[ROW][C]0.81[/C][C]622.314002802826[/C][C]7.94960780676128[/C][/ROW]
[ROW][C]0.82[/C][C]624.86406065687[/C][C]8.91151724336499[/C][/ROW]
[ROW][C]0.83[/C][C]627.838504999672[/C][C]10.2510792447639[/C][/ROW]
[ROW][C]0.84[/C][C]631.347000249835[/C][C]11.9322780388008[/C][/ROW]
[ROW][C]0.85[/C][C]635.467131646155[/C][C]13.7577114598116[/C][/ROW]
[ROW][C]0.86[/C][C]640.206213751506[/C][C]15.4051497444463[/C][/ROW]
[ROW][C]0.87[/C][C]645.478603749213[/C][C]16.5317720594324[/C][/ROW]
[ROW][C]0.88[/C][C]651.112154726492[/C][C]16.8968531291929[/C][/ROW]
[ROW][C]0.89[/C][C]656.882785553364[/C][C]16.4491454598339[/C][/ROW]
[ROW][C]0.9[/C][C]662.558641296959[/C][C]15.3168302509851[/C][/ROW]
[ROW][C]0.91[/C][C]667.929364440637[/C][C]13.700805679326[/C][/ROW]
[ROW][C]0.92[/C][C]672.812920693755[/C][C]11.75014624337[/C][/ROW]
[ROW][C]0.93[/C][C]677.069193576308[/C][C]9.55345427377923[/C][/ROW]
[ROW][C]0.94[/C][C]680.685016871552[/C][C]7.31635218705601[/C][/ROW]
[ROW][C]0.95[/C][C]683.991200804879[/C][C]5.69785814662907[/C][/ROW]
[ROW][C]0.96[/C][C]687.953283696353[/C][C]6.25844213863681[/C][/ROW]
[ROW][C]0.97[/C][C]694.12598318577[/C][C]9.9861366094794[/C][/ROW]
[ROW][C]0.98[/C][C]703.448776922351[/C][C]13.9571502164616[/C][/ROW]
[ROW][C]0.99[/C][C]713.857534340119[/C][C]11.7137803898984[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211320&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211320&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
0.01486.48594250047418.1866434492797
0.02501.22685208447614.6877768996707
0.03512.03820470308810.0308908912665
0.04518.6951812260436.93272129292633
0.05522.9861747179996.02298863768081
0.06526.3140477450076.26610256792509
0.07529.3712683424796.81573191156261
0.08532.3873331532037.28687493374553
0.09535.374774433697.51031734130379
0.1538.2673170246917.43808745760576
0.11540.9865083343367.10848159468292
0.12543.4733680113376.60849941782264
0.13545.700216692476.03650432526525
0.14547.6695005091795.47523324252497
0.15549.4054141428744.97953540327456
0.16550.9434071034644.5745904126209
0.17552.3210197156274.25725085684966
0.18553.5717427052394.01181145434613
0.19554.7222354473953.81739404634806
0.2555.7923666157213.65749003770681
0.21556.7971118627333.52381151706964
0.22557.7492435975983.4202843406886
0.23558.6618465698653.35840209017479
0.24559.5499196851683.355492272036
0.25560.4306655974493.42597240913613
0.26561.3224790803513.57407096518768
0.27562.2430027091173.79247406148146
0.28563.2068007219054.06102838738889
0.29564.2231849991464.35432527674568
0.3565.2946008806924.63887898349472
0.31566.4158592129624.88165868748191
0.32567.5744203169025.05078610655661
0.33568.7518354872795.1210988598933
0.34569.9262552072835.08359401335476
0.35571.0756244526864.94310547617067
0.36572.1809174851164.72088871988818
0.37573.228673227254.45035902304235
0.38574.212266577694.16553272280671
0.39575.1317427548343.89880889950593
0.4575.9924846665163.66951492281648
0.41576.8032857624563.48771996463806
0.42577.5744504509363.35330504350339
0.43578.3163601418843.26102461638186
0.44579.0386508587973.20638971896773
0.45579.749900703583.18490589722147
0.46580.4576198947613.19460367980096
0.47581.1683761843883.23026236632145
0.48581.8880015668133.28847887553147
0.49582.6219184855113.36676100119406
0.5583.3756350486453.46582185967922
0.51584.1553872546823.59131298393576
0.52584.9687960807153.75264741584344
0.53585.8253154930413.95906695284856
0.54586.7362146833684.22136054158114
0.55587.7138792337374.54427302512534
0.56588.7703293259834.9224064583371
0.57589.9150294429735.33910126031711
0.58591.152285388025.76496744517005
0.59592.4787505081146.1569780424106
0.6593.8817210937676.46843522133018
0.61595.3388994269426.65377722854837
0.62596.8200730573816.6802140364666
0.63598.2907072594466.53495784607053
0.64599.7168864357876.23187412998787
0.65601.0705659044585.80873576809933
0.66602.3339129760715.3212031005536
0.67603.5017390953674.83473731630825
0.68604.5816023870614.40792766233489
0.69605.5918763947364.08758629914961
0.7606.5586392731313.89655732215353
0.71607.5123980340523.84477971095649
0.72608.485368582793.92496345668344
0.73609.5094618846724.12947156301207
0.74610.6146264082214.44432240569462
0.75611.8271188535184.84889301058387
0.76613.1677762401735.31308402398948
0.77614.6512568764385.79971961261166
0.78616.287961422566.28023204828473
0.79618.0902064605686.75492142448975
0.8620.082644742027.27637020680887
0.81622.3140028028267.94960780676128
0.82624.864060656878.91151724336499
0.83627.83850499967210.2510792447639
0.84631.34700024983511.9322780388008
0.85635.46713164615513.7577114598116
0.86640.20621375150615.4051497444463
0.87645.47860374921316.5317720594324
0.88651.11215472649216.8968531291929
0.89656.88278555336416.4491454598339
0.9662.55864129695915.3168302509851
0.91667.92936444063713.700805679326
0.92672.81292069375511.75014624337
0.93677.0691935763089.55345427377923
0.94680.6850168715527.31635218705601
0.95683.9912008048795.69785814662907
0.96687.9532836963536.25844213863681
0.97694.125983185779.9861366094794
0.98703.44877692235113.9571502164616
0.99713.85753434011911.7137803898984


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')