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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 computationFri, 03 Oct 2014 13:00:46 +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/03/t1412337697531si8uh293w1lj.htm/, Retrieved Sat, 16 May 2026 10:16:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238400, Retrieved Sat, 16 May 2026 10:16:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact383

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] [] [2014-10-03 12:00:46] [e05db0df8788e4fa845cdc810f8bbe4c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
564410
658506
574787
611567
565210
638288
524970
505151
605350
517957
510879
622942
459903
486911
545974
481494
492324
609265
573243
524622
540071
564556
465319
458048
492603
606596
776475
749810
832426
895273
643875
348031
301771
411429
350941
425245
447041
449723
514318
445044
532552
469484
442289
532681
524463
590857
487590
612157
598030
577042
755394
697253
476835
510995
527816
482667
531528
628748
472131
445430
551715
561949
769474
583410
480271
576444
550457
534892
541769
741041
482062
586176

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=238400&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=238400&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238400&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
0.01315225.98379827238579.8268990361
0.02335100.63946182734068.1584353735
0.03355766.73601652435562.774263798
0.04375012.37891427837651.4690047121
0.05392249.10511969936343.1101531584
0.06407085.47719071431776.1117878664
0.07419224.16462658625780.8653405343
0.08428690.23313521420044.3740370277
0.09435849.29324402915505.7911506327
0.1441249.71141191112454.0043155725
0.11445450.58973341710774.8767352067
0.12448916.18812032510129.4329275772
0.13451979.21391405310103.8978496543
0.14454847.48973498110346.3180526749
0.15457630.09879665210623.1851336088
0.16460368.05395814510804.8967315338
0.17463061.88261158410839.6859772634
0.18465693.07452339110723.6699393593
0.19468238.93991372210483.4203213204
0.2470681.76989728610164.4583602222
0.21473013.6712097929821.28658142627
0.22475238.3686907689512.90654056385
0.23477370.9335924049295.95219352532
0.24479436.0505271579220.23268827564
0.25481465.2193998649318.50394040761
0.26483493.2263661519602.63817996483
0.27485554.25850505510058.1008617921
0.28487678.10197188810646.7189730522
0.29489886.88621009811315.5615659101
0.3492192.78249430412001.5076957955
0.31494596.93327577812642.6243610339
0.32497089.70528907613182.3752322756
0.33499652.16335508513578.3198242244
0.34502258.49329823713803.7927763859
0.35504878.99223296513848.4251390747
0.36507483.20814332613719.8970610385
0.37510042.84635124313438.8107106135
0.38512534.15128597513038.639052509
0.39514939.59172780412556.8755332369
0.4517248.79830359312035.0560079914
0.41519458.800531311514.1394076911
0.42521573.67410400811031.6749399626
0.43523603.73551054510620.4258877556
0.44525564.41783679110306.9523754127
0.45527474.94110434310110.2438002571
0.46529356.86574945210039.5523660669
0.47531232.59873925510097.9060446328
0.48533123.91335063310276.1354135702
0.49535050.54573655910557.7309908039
0.5537028.94011190810919.0877466723
0.51539071.22360084811330.265181007
0.52541184.49507718611759.1674642017
0.53543370.50450412512174.6281724606
0.54545625.77751769312545.6511432622
0.55547942.20451287912847.3158463782
0.56550308.0676626213061.0486701593
0.57552709.42918066313179.9178808286
0.58555131.75733121313203.1658908987
0.59557561.63074057113142.3258979587
0.6559988.34230303713018.6524067579
0.61562405.22430517812856.9198288452
0.62564810.53611735412689.5773373269
0.63567207.79255185512548.4638288493
0.64569605.46192128712462.2392288448
0.65572016.02614400312451.873782902
0.66574454.47041122412530.1781598384
0.67576936.35600682112694.605698906
0.68579475.72212274612929.8719799673
0.69582083.14886840713209.4092979429
0.7584764.37329754513497.8354325749
0.71587519.85656461813758.4374061559
0.72590345.62928253513961.1677767751
0.73593235.58478756514089.8333846273
0.74596185.16436301314151.076675357
0.75599196.13462379614176.8919482912
0.76602281.96829871914229.2509348493
0.77605473.27438145214394.0516772058
0.78608822.80435865614777.4330522055
0.79612409.72088157915494.4808585869
0.8616342.88044856616657.8093040303
0.81620762.61516871918374.6623470184
0.82625839.72565934120736.9085946844
0.83631769.20456022723807.016119742
0.84638755.14372428527581.280250477
0.85646983.38577835631935.1593824333
0.86656581.01883193636569.3521783192
0.87667567.52461114440981.4320757324
0.88679810.54398716144507.8660233092
0.89693007.00465180546447.1947912985
0.9706713.4061240746268.454280952
0.91720443.49132551243845.0507539359
0.92733836.37703939439644.7939698984
0.93746875.90405677234816.6399779073
0.94760115.09196928431172.4164458403
0.95774823.58412429130872.8752342254
0.96792904.86943848935118.8801317768
0.97816264.69225550142665.2978546741
0.98845085.50895674250733.4898103914
0.99874892.95354552857484.3271967599

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 315225.983798272 & 38579.8268990361 \tabularnewline
0.02 & 335100.639461827 & 34068.1584353735 \tabularnewline
0.03 & 355766.736016524 & 35562.774263798 \tabularnewline
0.04 & 375012.378914278 & 37651.4690047121 \tabularnewline
0.05 & 392249.105119699 & 36343.1101531584 \tabularnewline
0.06 & 407085.477190714 & 31776.1117878664 \tabularnewline
0.07 & 419224.164626586 & 25780.8653405343 \tabularnewline
0.08 & 428690.233135214 & 20044.3740370277 \tabularnewline
0.09 & 435849.293244029 & 15505.7911506327 \tabularnewline
0.1 & 441249.711411911 & 12454.0043155725 \tabularnewline
0.11 & 445450.589733417 & 10774.8767352067 \tabularnewline
0.12 & 448916.188120325 & 10129.4329275772 \tabularnewline
0.13 & 451979.213914053 & 10103.8978496543 \tabularnewline
0.14 & 454847.489734981 & 10346.3180526749 \tabularnewline
0.15 & 457630.098796652 & 10623.1851336088 \tabularnewline
0.16 & 460368.053958145 & 10804.8967315338 \tabularnewline
0.17 & 463061.882611584 & 10839.6859772634 \tabularnewline
0.18 & 465693.074523391 & 10723.6699393593 \tabularnewline
0.19 & 468238.939913722 & 10483.4203213204 \tabularnewline
0.2 & 470681.769897286 & 10164.4583602222 \tabularnewline
0.21 & 473013.671209792 & 9821.28658142627 \tabularnewline
0.22 & 475238.368690768 & 9512.90654056385 \tabularnewline
0.23 & 477370.933592404 & 9295.95219352532 \tabularnewline
0.24 & 479436.050527157 & 9220.23268827564 \tabularnewline
0.25 & 481465.219399864 & 9318.50394040761 \tabularnewline
0.26 & 483493.226366151 & 9602.63817996483 \tabularnewline
0.27 & 485554.258505055 & 10058.1008617921 \tabularnewline
0.28 & 487678.101971888 & 10646.7189730522 \tabularnewline
0.29 & 489886.886210098 & 11315.5615659101 \tabularnewline
0.3 & 492192.782494304 & 12001.5076957955 \tabularnewline
0.31 & 494596.933275778 & 12642.6243610339 \tabularnewline
0.32 & 497089.705289076 & 13182.3752322756 \tabularnewline
0.33 & 499652.163355085 & 13578.3198242244 \tabularnewline
0.34 & 502258.493298237 & 13803.7927763859 \tabularnewline
0.35 & 504878.992232965 & 13848.4251390747 \tabularnewline
0.36 & 507483.208143326 & 13719.8970610385 \tabularnewline
0.37 & 510042.846351243 & 13438.8107106135 \tabularnewline
0.38 & 512534.151285975 & 13038.639052509 \tabularnewline
0.39 & 514939.591727804 & 12556.8755332369 \tabularnewline
0.4 & 517248.798303593 & 12035.0560079914 \tabularnewline
0.41 & 519458.8005313 & 11514.1394076911 \tabularnewline
0.42 & 521573.674104008 & 11031.6749399626 \tabularnewline
0.43 & 523603.735510545 & 10620.4258877556 \tabularnewline
0.44 & 525564.417836791 & 10306.9523754127 \tabularnewline
0.45 & 527474.941104343 & 10110.2438002571 \tabularnewline
0.46 & 529356.865749452 & 10039.5523660669 \tabularnewline
0.47 & 531232.598739255 & 10097.9060446328 \tabularnewline
0.48 & 533123.913350633 & 10276.1354135702 \tabularnewline
0.49 & 535050.545736559 & 10557.7309908039 \tabularnewline
0.5 & 537028.940111908 & 10919.0877466723 \tabularnewline
0.51 & 539071.223600848 & 11330.265181007 \tabularnewline
0.52 & 541184.495077186 & 11759.1674642017 \tabularnewline
0.53 & 543370.504504125 & 12174.6281724606 \tabularnewline
0.54 & 545625.777517693 & 12545.6511432622 \tabularnewline
0.55 & 547942.204512879 & 12847.3158463782 \tabularnewline
0.56 & 550308.06766262 & 13061.0486701593 \tabularnewline
0.57 & 552709.429180663 & 13179.9178808286 \tabularnewline
0.58 & 555131.757331213 & 13203.1658908987 \tabularnewline
0.59 & 557561.630740571 & 13142.3258979587 \tabularnewline
0.6 & 559988.342303037 & 13018.6524067579 \tabularnewline
0.61 & 562405.224305178 & 12856.9198288452 \tabularnewline
0.62 & 564810.536117354 & 12689.5773373269 \tabularnewline
0.63 & 567207.792551855 & 12548.4638288493 \tabularnewline
0.64 & 569605.461921287 & 12462.2392288448 \tabularnewline
0.65 & 572016.026144003 & 12451.873782902 \tabularnewline
0.66 & 574454.470411224 & 12530.1781598384 \tabularnewline
0.67 & 576936.356006821 & 12694.605698906 \tabularnewline
0.68 & 579475.722122746 & 12929.8719799673 \tabularnewline
0.69 & 582083.148868407 & 13209.4092979429 \tabularnewline
0.7 & 584764.373297545 & 13497.8354325749 \tabularnewline
0.71 & 587519.856564618 & 13758.4374061559 \tabularnewline
0.72 & 590345.629282535 & 13961.1677767751 \tabularnewline
0.73 & 593235.584787565 & 14089.8333846273 \tabularnewline
0.74 & 596185.164363013 & 14151.076675357 \tabularnewline
0.75 & 599196.134623796 & 14176.8919482912 \tabularnewline
0.76 & 602281.968298719 & 14229.2509348493 \tabularnewline
0.77 & 605473.274381452 & 14394.0516772058 \tabularnewline
0.78 & 608822.804358656 & 14777.4330522055 \tabularnewline
0.79 & 612409.720881579 & 15494.4808585869 \tabularnewline
0.8 & 616342.880448566 & 16657.8093040303 \tabularnewline
0.81 & 620762.615168719 & 18374.6623470184 \tabularnewline
0.82 & 625839.725659341 & 20736.9085946844 \tabularnewline
0.83 & 631769.204560227 & 23807.016119742 \tabularnewline
0.84 & 638755.143724285 & 27581.280250477 \tabularnewline
0.85 & 646983.385778356 & 31935.1593824333 \tabularnewline
0.86 & 656581.018831936 & 36569.3521783192 \tabularnewline
0.87 & 667567.524611144 & 40981.4320757324 \tabularnewline
0.88 & 679810.543987161 & 44507.8660233092 \tabularnewline
0.89 & 693007.004651805 & 46447.1947912985 \tabularnewline
0.9 & 706713.40612407 & 46268.454280952 \tabularnewline
0.91 & 720443.491325512 & 43845.0507539359 \tabularnewline
0.92 & 733836.377039394 & 39644.7939698984 \tabularnewline
0.93 & 746875.904056772 & 34816.6399779073 \tabularnewline
0.94 & 760115.091969284 & 31172.4164458403 \tabularnewline
0.95 & 774823.584124291 & 30872.8752342254 \tabularnewline
0.96 & 792904.869438489 & 35118.8801317768 \tabularnewline
0.97 & 816264.692255501 & 42665.2978546741 \tabularnewline
0.98 & 845085.508956742 & 50733.4898103914 \tabularnewline
0.99 & 874892.953545528 & 57484.3271967599 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238400&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]315225.983798272[/C][C]38579.8268990361[/C][/ROW]
[ROW][C]0.02[/C][C]335100.639461827[/C][C]34068.1584353735[/C][/ROW]
[ROW][C]0.03[/C][C]355766.736016524[/C][C]35562.774263798[/C][/ROW]
[ROW][C]0.04[/C][C]375012.378914278[/C][C]37651.4690047121[/C][/ROW]
[ROW][C]0.05[/C][C]392249.105119699[/C][C]36343.1101531584[/C][/ROW]
[ROW][C]0.06[/C][C]407085.477190714[/C][C]31776.1117878664[/C][/ROW]
[ROW][C]0.07[/C][C]419224.164626586[/C][C]25780.8653405343[/C][/ROW]
[ROW][C]0.08[/C][C]428690.233135214[/C][C]20044.3740370277[/C][/ROW]
[ROW][C]0.09[/C][C]435849.293244029[/C][C]15505.7911506327[/C][/ROW]
[ROW][C]0.1[/C][C]441249.711411911[/C][C]12454.0043155725[/C][/ROW]
[ROW][C]0.11[/C][C]445450.589733417[/C][C]10774.8767352067[/C][/ROW]
[ROW][C]0.12[/C][C]448916.188120325[/C][C]10129.4329275772[/C][/ROW]
[ROW][C]0.13[/C][C]451979.213914053[/C][C]10103.8978496543[/C][/ROW]
[ROW][C]0.14[/C][C]454847.489734981[/C][C]10346.3180526749[/C][/ROW]
[ROW][C]0.15[/C][C]457630.098796652[/C][C]10623.1851336088[/C][/ROW]
[ROW][C]0.16[/C][C]460368.053958145[/C][C]10804.8967315338[/C][/ROW]
[ROW][C]0.17[/C][C]463061.882611584[/C][C]10839.6859772634[/C][/ROW]
[ROW][C]0.18[/C][C]465693.074523391[/C][C]10723.6699393593[/C][/ROW]
[ROW][C]0.19[/C][C]468238.939913722[/C][C]10483.4203213204[/C][/ROW]
[ROW][C]0.2[/C][C]470681.769897286[/C][C]10164.4583602222[/C][/ROW]
[ROW][C]0.21[/C][C]473013.671209792[/C][C]9821.28658142627[/C][/ROW]
[ROW][C]0.22[/C][C]475238.368690768[/C][C]9512.90654056385[/C][/ROW]
[ROW][C]0.23[/C][C]477370.933592404[/C][C]9295.95219352532[/C][/ROW]
[ROW][C]0.24[/C][C]479436.050527157[/C][C]9220.23268827564[/C][/ROW]
[ROW][C]0.25[/C][C]481465.219399864[/C][C]9318.50394040761[/C][/ROW]
[ROW][C]0.26[/C][C]483493.226366151[/C][C]9602.63817996483[/C][/ROW]
[ROW][C]0.27[/C][C]485554.258505055[/C][C]10058.1008617921[/C][/ROW]
[ROW][C]0.28[/C][C]487678.101971888[/C][C]10646.7189730522[/C][/ROW]
[ROW][C]0.29[/C][C]489886.886210098[/C][C]11315.5615659101[/C][/ROW]
[ROW][C]0.3[/C][C]492192.782494304[/C][C]12001.5076957955[/C][/ROW]
[ROW][C]0.31[/C][C]494596.933275778[/C][C]12642.6243610339[/C][/ROW]
[ROW][C]0.32[/C][C]497089.705289076[/C][C]13182.3752322756[/C][/ROW]
[ROW][C]0.33[/C][C]499652.163355085[/C][C]13578.3198242244[/C][/ROW]
[ROW][C]0.34[/C][C]502258.493298237[/C][C]13803.7927763859[/C][/ROW]
[ROW][C]0.35[/C][C]504878.992232965[/C][C]13848.4251390747[/C][/ROW]
[ROW][C]0.36[/C][C]507483.208143326[/C][C]13719.8970610385[/C][/ROW]
[ROW][C]0.37[/C][C]510042.846351243[/C][C]13438.8107106135[/C][/ROW]
[ROW][C]0.38[/C][C]512534.151285975[/C][C]13038.639052509[/C][/ROW]
[ROW][C]0.39[/C][C]514939.591727804[/C][C]12556.8755332369[/C][/ROW]
[ROW][C]0.4[/C][C]517248.798303593[/C][C]12035.0560079914[/C][/ROW]
[ROW][C]0.41[/C][C]519458.8005313[/C][C]11514.1394076911[/C][/ROW]
[ROW][C]0.42[/C][C]521573.674104008[/C][C]11031.6749399626[/C][/ROW]
[ROW][C]0.43[/C][C]523603.735510545[/C][C]10620.4258877556[/C][/ROW]
[ROW][C]0.44[/C][C]525564.417836791[/C][C]10306.9523754127[/C][/ROW]
[ROW][C]0.45[/C][C]527474.941104343[/C][C]10110.2438002571[/C][/ROW]
[ROW][C]0.46[/C][C]529356.865749452[/C][C]10039.5523660669[/C][/ROW]
[ROW][C]0.47[/C][C]531232.598739255[/C][C]10097.9060446328[/C][/ROW]
[ROW][C]0.48[/C][C]533123.913350633[/C][C]10276.1354135702[/C][/ROW]
[ROW][C]0.49[/C][C]535050.545736559[/C][C]10557.7309908039[/C][/ROW]
[ROW][C]0.5[/C][C]537028.940111908[/C][C]10919.0877466723[/C][/ROW]
[ROW][C]0.51[/C][C]539071.223600848[/C][C]11330.265181007[/C][/ROW]
[ROW][C]0.52[/C][C]541184.495077186[/C][C]11759.1674642017[/C][/ROW]
[ROW][C]0.53[/C][C]543370.504504125[/C][C]12174.6281724606[/C][/ROW]
[ROW][C]0.54[/C][C]545625.777517693[/C][C]12545.6511432622[/C][/ROW]
[ROW][C]0.55[/C][C]547942.204512879[/C][C]12847.3158463782[/C][/ROW]
[ROW][C]0.56[/C][C]550308.06766262[/C][C]13061.0486701593[/C][/ROW]
[ROW][C]0.57[/C][C]552709.429180663[/C][C]13179.9178808286[/C][/ROW]
[ROW][C]0.58[/C][C]555131.757331213[/C][C]13203.1658908987[/C][/ROW]
[ROW][C]0.59[/C][C]557561.630740571[/C][C]13142.3258979587[/C][/ROW]
[ROW][C]0.6[/C][C]559988.342303037[/C][C]13018.6524067579[/C][/ROW]
[ROW][C]0.61[/C][C]562405.224305178[/C][C]12856.9198288452[/C][/ROW]
[ROW][C]0.62[/C][C]564810.536117354[/C][C]12689.5773373269[/C][/ROW]
[ROW][C]0.63[/C][C]567207.792551855[/C][C]12548.4638288493[/C][/ROW]
[ROW][C]0.64[/C][C]569605.461921287[/C][C]12462.2392288448[/C][/ROW]
[ROW][C]0.65[/C][C]572016.026144003[/C][C]12451.873782902[/C][/ROW]
[ROW][C]0.66[/C][C]574454.470411224[/C][C]12530.1781598384[/C][/ROW]
[ROW][C]0.67[/C][C]576936.356006821[/C][C]12694.605698906[/C][/ROW]
[ROW][C]0.68[/C][C]579475.722122746[/C][C]12929.8719799673[/C][/ROW]
[ROW][C]0.69[/C][C]582083.148868407[/C][C]13209.4092979429[/C][/ROW]
[ROW][C]0.7[/C][C]584764.373297545[/C][C]13497.8354325749[/C][/ROW]
[ROW][C]0.71[/C][C]587519.856564618[/C][C]13758.4374061559[/C][/ROW]
[ROW][C]0.72[/C][C]590345.629282535[/C][C]13961.1677767751[/C][/ROW]
[ROW][C]0.73[/C][C]593235.584787565[/C][C]14089.8333846273[/C][/ROW]
[ROW][C]0.74[/C][C]596185.164363013[/C][C]14151.076675357[/C][/ROW]
[ROW][C]0.75[/C][C]599196.134623796[/C][C]14176.8919482912[/C][/ROW]
[ROW][C]0.76[/C][C]602281.968298719[/C][C]14229.2509348493[/C][/ROW]
[ROW][C]0.77[/C][C]605473.274381452[/C][C]14394.0516772058[/C][/ROW]
[ROW][C]0.78[/C][C]608822.804358656[/C][C]14777.4330522055[/C][/ROW]
[ROW][C]0.79[/C][C]612409.720881579[/C][C]15494.4808585869[/C][/ROW]
[ROW][C]0.8[/C][C]616342.880448566[/C][C]16657.8093040303[/C][/ROW]
[ROW][C]0.81[/C][C]620762.615168719[/C][C]18374.6623470184[/C][/ROW]
[ROW][C]0.82[/C][C]625839.725659341[/C][C]20736.9085946844[/C][/ROW]
[ROW][C]0.83[/C][C]631769.204560227[/C][C]23807.016119742[/C][/ROW]
[ROW][C]0.84[/C][C]638755.143724285[/C][C]27581.280250477[/C][/ROW]
[ROW][C]0.85[/C][C]646983.385778356[/C][C]31935.1593824333[/C][/ROW]
[ROW][C]0.86[/C][C]656581.018831936[/C][C]36569.3521783192[/C][/ROW]
[ROW][C]0.87[/C][C]667567.524611144[/C][C]40981.4320757324[/C][/ROW]
[ROW][C]0.88[/C][C]679810.543987161[/C][C]44507.8660233092[/C][/ROW]
[ROW][C]0.89[/C][C]693007.004651805[/C][C]46447.1947912985[/C][/ROW]
[ROW][C]0.9[/C][C]706713.40612407[/C][C]46268.454280952[/C][/ROW]
[ROW][C]0.91[/C][C]720443.491325512[/C][C]43845.0507539359[/C][/ROW]
[ROW][C]0.92[/C][C]733836.377039394[/C][C]39644.7939698984[/C][/ROW]
[ROW][C]0.93[/C][C]746875.904056772[/C][C]34816.6399779073[/C][/ROW]
[ROW][C]0.94[/C][C]760115.091969284[/C][C]31172.4164458403[/C][/ROW]
[ROW][C]0.95[/C][C]774823.584124291[/C][C]30872.8752342254[/C][/ROW]
[ROW][C]0.96[/C][C]792904.869438489[/C][C]35118.8801317768[/C][/ROW]
[ROW][C]0.97[/C][C]816264.692255501[/C][C]42665.2978546741[/C][/ROW]
[ROW][C]0.98[/C][C]845085.508956742[/C][C]50733.4898103914[/C][/ROW]
[ROW][C]0.99[/C][C]874892.953545528[/C][C]57484.3271967599[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238400&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238400&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
0.01315225.98379827238579.8268990361
0.02335100.63946182734068.1584353735
0.03355766.73601652435562.774263798
0.04375012.37891427837651.4690047121
0.05392249.10511969936343.1101531584
0.06407085.47719071431776.1117878664
0.07419224.16462658625780.8653405343
0.08428690.23313521420044.3740370277
0.09435849.29324402915505.7911506327
0.1441249.71141191112454.0043155725
0.11445450.58973341710774.8767352067
0.12448916.18812032510129.4329275772
0.13451979.21391405310103.8978496543
0.14454847.48973498110346.3180526749
0.15457630.09879665210623.1851336088
0.16460368.05395814510804.8967315338
0.17463061.88261158410839.6859772634
0.18465693.07452339110723.6699393593
0.19468238.93991372210483.4203213204
0.2470681.76989728610164.4583602222
0.21473013.6712097929821.28658142627
0.22475238.3686907689512.90654056385
0.23477370.9335924049295.95219352532
0.24479436.0505271579220.23268827564
0.25481465.2193998649318.50394040761
0.26483493.2263661519602.63817996483
0.27485554.25850505510058.1008617921
0.28487678.10197188810646.7189730522
0.29489886.88621009811315.5615659101
0.3492192.78249430412001.5076957955
0.31494596.93327577812642.6243610339
0.32497089.70528907613182.3752322756
0.33499652.16335508513578.3198242244
0.34502258.49329823713803.7927763859
0.35504878.99223296513848.4251390747
0.36507483.20814332613719.8970610385
0.37510042.84635124313438.8107106135
0.38512534.15128597513038.639052509
0.39514939.59172780412556.8755332369
0.4517248.79830359312035.0560079914
0.41519458.800531311514.1394076911
0.42521573.67410400811031.6749399626
0.43523603.73551054510620.4258877556
0.44525564.41783679110306.9523754127
0.45527474.94110434310110.2438002571
0.46529356.86574945210039.5523660669
0.47531232.59873925510097.9060446328
0.48533123.91335063310276.1354135702
0.49535050.54573655910557.7309908039
0.5537028.94011190810919.0877466723
0.51539071.22360084811330.265181007
0.52541184.49507718611759.1674642017
0.53543370.50450412512174.6281724606
0.54545625.77751769312545.6511432622
0.55547942.20451287912847.3158463782
0.56550308.0676626213061.0486701593
0.57552709.42918066313179.9178808286
0.58555131.75733121313203.1658908987
0.59557561.63074057113142.3258979587
0.6559988.34230303713018.6524067579
0.61562405.22430517812856.9198288452
0.62564810.53611735412689.5773373269
0.63567207.79255185512548.4638288493
0.64569605.46192128712462.2392288448
0.65572016.02614400312451.873782902
0.66574454.47041122412530.1781598384
0.67576936.35600682112694.605698906
0.68579475.72212274612929.8719799673
0.69582083.14886840713209.4092979429
0.7584764.37329754513497.8354325749
0.71587519.85656461813758.4374061559
0.72590345.62928253513961.1677767751
0.73593235.58478756514089.8333846273
0.74596185.16436301314151.076675357
0.75599196.13462379614176.8919482912
0.76602281.96829871914229.2509348493
0.77605473.27438145214394.0516772058
0.78608822.80435865614777.4330522055
0.79612409.72088157915494.4808585869
0.8616342.88044856616657.8093040303
0.81620762.61516871918374.6623470184
0.82625839.72565934120736.9085946844
0.83631769.20456022723807.016119742
0.84638755.14372428527581.280250477
0.85646983.38577835631935.1593824333
0.86656581.01883193636569.3521783192
0.87667567.52461114440981.4320757324
0.88679810.54398716144507.8660233092
0.89693007.00465180546447.1947912985
0.9706713.4061240746268.454280952
0.91720443.49132551243845.0507539359
0.92733836.37703939439644.7939698984
0.93746875.90405677234816.6399779073
0.94760115.09196928431172.4164458403
0.95774823.58412429130872.8752342254
0.96792904.86943848935118.8801317768
0.97816264.69225550142665.2978546741
0.98845085.50895674250733.4898103914
0.99874892.95354552857484.3271967599


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')