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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, 13 Aug 2014 13:44:17 +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/Aug/13/t1407933910nhhbmthnjqidr7f.htm/, Retrieved Sat, 14 Feb 2026 20:00:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235517, Retrieved Sat, 14 Feb 2026 20:00:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBoeykens Brice
Estimated Impact337

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] [2014-08-13 12:44:17] [7314f5de623f4497f735e8af2050bf2f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
330
310
310
380
330
250
370
380
430
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480
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370
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480
570
450
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320
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410
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450
230
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540
450
430
480
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310
380
210
450
120
210
410
660
510
510
450
290
320
380
260
530
180
260
460
620
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460
290
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540
540
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410
270
370
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210
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580
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330

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235517&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235517&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01145.65257098317637.9495124713452
0.02172.84599639113920.6873332372029
0.03190.05578718684215.9846770740191
0.04201.23535917980914.8217567434192
0.05210.00094674663914.7080339741557
0.06217.83118611254715.7040863022736
0.07225.32643629397116.8339874732752
0.08232.60085692457517.1478944849705
0.09239.45610277984216.3591588447625
0.1245.6212226043114.7316635043147
0.11250.94453465079912.823483581868
0.12255.46723287602511.2594978708375
0.13259.39604538428910.5286191756136
0.14263.02143363961710.7919205290821
0.15266.62625469434911.8409241517743
0.16270.41717977810113.2842174665827
0.17274.49331670648214.7400705245331
0.18278.84960487639715.9176522693299
0.19283.40268454768616.6356948982837
0.2288.02541575453316.818941151482
0.21292.5798614021916.4852277797075
0.22296.94322624054915.7246259568382
0.23301.02463123609314.6743049595447
0.24304.77251683986513.4883425739374
0.25308.17368888856612.3082157966623
0.26311.24609692315511.241070373212
0.27314.02828723544510.346262251848
0.28316.5687059094449.64012752698205
0.29318.9174180211489.11120648223676
0.3321.1215419730478.74038269123519
0.31323.2242534164418.51559272752755
0.32325.2660965300328.43860600566483
0.33327.2868612756818.52375164848568
0.34329.3264854022538.78360735154633
0.35331.424140368559.21826466301958
0.36333.6155592512619.80526118084697
0.37335.92944146679110.4987630834727
0.38338.38417728860111.2393876368872
0.39340.98607163453711.9646347963155
0.4343.72977642636812.6236666902321
0.41346.60096200179113.1849413495036
0.42349.58061723293213.6411107632581
0.43352.64996354636914.009146178815
0.44355.79488438564114.3243526307674
0.45359.00897068113214.6305772994414
0.46362.29464765485114.973117857459
0.47365.66224998884815.3865827657947
0.48369.12726449708115.8873001843214
0.49372.70623464433716.4698328169503
0.5376.41202922166817.1042915113247
0.51380.24932331534917.7379630819455
0.52384.21119340078618.3056930226609
0.53388.27762890022118.7393539562518
0.54392.41645800732318.9818885017587
0.55396.58668625567118.9984348801591
0.56400.74365399039918.7859870156433
0.57404.84490717635118.3716882867462
0.58408.85542467935817.8067764638007
0.59412.75096218469317.15487316653
0.6416.51874600150416.4759577007605
0.61420.15545288355915.8131864673087
0.62423.66315579444415.1843790866112
0.63427.04451143959114.5802300796656
0.64430.29876648892813.9726873779163
0.65433.42007466975813.3280249464454
0.66436.39911586251412.6251839197317
0.67439.22813933119111.8705177283133
0.68441.90847475643311.1109438358057
0.69444.45854914703910.4333111652326
0.7446.9198766941179.95705579236021
0.71449.3586750995459.80548468816045
0.72451.86182996841510.0699350831547
0.73454.52767411010910.770967099455
0.74457.45391800255211.8505871355551
0.75460.72629722234813.2014147919203
0.76464.41140307664614.7038099433035
0.77468.55547402376316.2603416291624
0.78473.1880960542117.8146652715919
0.79478.32697366596919.3427767440802
0.8483.97875152440720.8254330565453
0.81490.13250691043622.203802180765
0.82496.74701028615723.3528533510058
0.83503.73842469044124.0978695439533
0.84510.97853332517124.2690126444822
0.85518.31150157219523.7865835943047
0.86525.5885863294922.7284094128983
0.87532.70869566744421.3341546911288
0.88539.64618309515619.9255877845759
0.89546.4530029616718.7625974410778
0.9553.2388914199717.9413056404235
0.91560.14651915671917.4344942374506
0.92567.33125787306317.2040949434084
0.93574.9282778593217.1901839073091
0.94582.97901790332917.1155220112901
0.95591.35569560994316.4033095810334
0.96599.90974829154314.6381954940302
0.97609.28381572241112.8336101156344
0.98622.277306185115.4277468193475
0.99641.95590463357226.8909184989757

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 145.652570983176 & 37.9495124713452 \tabularnewline
0.02 & 172.845996391139 & 20.6873332372029 \tabularnewline
0.03 & 190.055787186842 & 15.9846770740191 \tabularnewline
0.04 & 201.235359179809 & 14.8217567434192 \tabularnewline
0.05 & 210.000946746639 & 14.7080339741557 \tabularnewline
0.06 & 217.831186112547 & 15.7040863022736 \tabularnewline
0.07 & 225.326436293971 & 16.8339874732752 \tabularnewline
0.08 & 232.600856924575 & 17.1478944849705 \tabularnewline
0.09 & 239.456102779842 & 16.3591588447625 \tabularnewline
0.1 & 245.62122260431 & 14.7316635043147 \tabularnewline
0.11 & 250.944534650799 & 12.823483581868 \tabularnewline
0.12 & 255.467232876025 & 11.2594978708375 \tabularnewline
0.13 & 259.396045384289 & 10.5286191756136 \tabularnewline
0.14 & 263.021433639617 & 10.7919205290821 \tabularnewline
0.15 & 266.626254694349 & 11.8409241517743 \tabularnewline
0.16 & 270.417179778101 & 13.2842174665827 \tabularnewline
0.17 & 274.493316706482 & 14.7400705245331 \tabularnewline
0.18 & 278.849604876397 & 15.9176522693299 \tabularnewline
0.19 & 283.402684547686 & 16.6356948982837 \tabularnewline
0.2 & 288.025415754533 & 16.818941151482 \tabularnewline
0.21 & 292.57986140219 & 16.4852277797075 \tabularnewline
0.22 & 296.943226240549 & 15.7246259568382 \tabularnewline
0.23 & 301.024631236093 & 14.6743049595447 \tabularnewline
0.24 & 304.772516839865 & 13.4883425739374 \tabularnewline
0.25 & 308.173688888566 & 12.3082157966623 \tabularnewline
0.26 & 311.246096923155 & 11.241070373212 \tabularnewline
0.27 & 314.028287235445 & 10.346262251848 \tabularnewline
0.28 & 316.568705909444 & 9.64012752698205 \tabularnewline
0.29 & 318.917418021148 & 9.11120648223676 \tabularnewline
0.3 & 321.121541973047 & 8.74038269123519 \tabularnewline
0.31 & 323.224253416441 & 8.51559272752755 \tabularnewline
0.32 & 325.266096530032 & 8.43860600566483 \tabularnewline
0.33 & 327.286861275681 & 8.52375164848568 \tabularnewline
0.34 & 329.326485402253 & 8.78360735154633 \tabularnewline
0.35 & 331.42414036855 & 9.21826466301958 \tabularnewline
0.36 & 333.615559251261 & 9.80526118084697 \tabularnewline
0.37 & 335.929441466791 & 10.4987630834727 \tabularnewline
0.38 & 338.384177288601 & 11.2393876368872 \tabularnewline
0.39 & 340.986071634537 & 11.9646347963155 \tabularnewline
0.4 & 343.729776426368 & 12.6236666902321 \tabularnewline
0.41 & 346.600962001791 & 13.1849413495036 \tabularnewline
0.42 & 349.580617232932 & 13.6411107632581 \tabularnewline
0.43 & 352.649963546369 & 14.009146178815 \tabularnewline
0.44 & 355.794884385641 & 14.3243526307674 \tabularnewline
0.45 & 359.008970681132 & 14.6305772994414 \tabularnewline
0.46 & 362.294647654851 & 14.973117857459 \tabularnewline
0.47 & 365.662249988848 & 15.3865827657947 \tabularnewline
0.48 & 369.127264497081 & 15.8873001843214 \tabularnewline
0.49 & 372.706234644337 & 16.4698328169503 \tabularnewline
0.5 & 376.412029221668 & 17.1042915113247 \tabularnewline
0.51 & 380.249323315349 & 17.7379630819455 \tabularnewline
0.52 & 384.211193400786 & 18.3056930226609 \tabularnewline
0.53 & 388.277628900221 & 18.7393539562518 \tabularnewline
0.54 & 392.416458007323 & 18.9818885017587 \tabularnewline
0.55 & 396.586686255671 & 18.9984348801591 \tabularnewline
0.56 & 400.743653990399 & 18.7859870156433 \tabularnewline
0.57 & 404.844907176351 & 18.3716882867462 \tabularnewline
0.58 & 408.855424679358 & 17.8067764638007 \tabularnewline
0.59 & 412.750962184693 & 17.15487316653 \tabularnewline
0.6 & 416.518746001504 & 16.4759577007605 \tabularnewline
0.61 & 420.155452883559 & 15.8131864673087 \tabularnewline
0.62 & 423.663155794444 & 15.1843790866112 \tabularnewline
0.63 & 427.044511439591 & 14.5802300796656 \tabularnewline
0.64 & 430.298766488928 & 13.9726873779163 \tabularnewline
0.65 & 433.420074669758 & 13.3280249464454 \tabularnewline
0.66 & 436.399115862514 & 12.6251839197317 \tabularnewline
0.67 & 439.228139331191 & 11.8705177283133 \tabularnewline
0.68 & 441.908474756433 & 11.1109438358057 \tabularnewline
0.69 & 444.458549147039 & 10.4333111652326 \tabularnewline
0.7 & 446.919876694117 & 9.95705579236021 \tabularnewline
0.71 & 449.358675099545 & 9.80548468816045 \tabularnewline
0.72 & 451.861829968415 & 10.0699350831547 \tabularnewline
0.73 & 454.527674110109 & 10.770967099455 \tabularnewline
0.74 & 457.453918002552 & 11.8505871355551 \tabularnewline
0.75 & 460.726297222348 & 13.2014147919203 \tabularnewline
0.76 & 464.411403076646 & 14.7038099433035 \tabularnewline
0.77 & 468.555474023763 & 16.2603416291624 \tabularnewline
0.78 & 473.18809605421 & 17.8146652715919 \tabularnewline
0.79 & 478.326973665969 & 19.3427767440802 \tabularnewline
0.8 & 483.978751524407 & 20.8254330565453 \tabularnewline
0.81 & 490.132506910436 & 22.203802180765 \tabularnewline
0.82 & 496.747010286157 & 23.3528533510058 \tabularnewline
0.83 & 503.738424690441 & 24.0978695439533 \tabularnewline
0.84 & 510.978533325171 & 24.2690126444822 \tabularnewline
0.85 & 518.311501572195 & 23.7865835943047 \tabularnewline
0.86 & 525.58858632949 & 22.7284094128983 \tabularnewline
0.87 & 532.708695667444 & 21.3341546911288 \tabularnewline
0.88 & 539.646183095156 & 19.9255877845759 \tabularnewline
0.89 & 546.45300296167 & 18.7625974410778 \tabularnewline
0.9 & 553.23889141997 & 17.9413056404235 \tabularnewline
0.91 & 560.146519156719 & 17.4344942374506 \tabularnewline
0.92 & 567.331257873063 & 17.2040949434084 \tabularnewline
0.93 & 574.92827785932 & 17.1901839073091 \tabularnewline
0.94 & 582.979017903329 & 17.1155220112901 \tabularnewline
0.95 & 591.355695609943 & 16.4033095810334 \tabularnewline
0.96 & 599.909748291543 & 14.6381954940302 \tabularnewline
0.97 & 609.283815722411 & 12.8336101156344 \tabularnewline
0.98 & 622.2773061851 & 15.4277468193475 \tabularnewline
0.99 & 641.955904633572 & 26.8909184989757 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235517&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]145.652570983176[/C][C]37.9495124713452[/C][/ROW]
[ROW][C]0.02[/C][C]172.845996391139[/C][C]20.6873332372029[/C][/ROW]
[ROW][C]0.03[/C][C]190.055787186842[/C][C]15.9846770740191[/C][/ROW]
[ROW][C]0.04[/C][C]201.235359179809[/C][C]14.8217567434192[/C][/ROW]
[ROW][C]0.05[/C][C]210.000946746639[/C][C]14.7080339741557[/C][/ROW]
[ROW][C]0.06[/C][C]217.831186112547[/C][C]15.7040863022736[/C][/ROW]
[ROW][C]0.07[/C][C]225.326436293971[/C][C]16.8339874732752[/C][/ROW]
[ROW][C]0.08[/C][C]232.600856924575[/C][C]17.1478944849705[/C][/ROW]
[ROW][C]0.09[/C][C]239.456102779842[/C][C]16.3591588447625[/C][/ROW]
[ROW][C]0.1[/C][C]245.62122260431[/C][C]14.7316635043147[/C][/ROW]
[ROW][C]0.11[/C][C]250.944534650799[/C][C]12.823483581868[/C][/ROW]
[ROW][C]0.12[/C][C]255.467232876025[/C][C]11.2594978708375[/C][/ROW]
[ROW][C]0.13[/C][C]259.396045384289[/C][C]10.5286191756136[/C][/ROW]
[ROW][C]0.14[/C][C]263.021433639617[/C][C]10.7919205290821[/C][/ROW]
[ROW][C]0.15[/C][C]266.626254694349[/C][C]11.8409241517743[/C][/ROW]
[ROW][C]0.16[/C][C]270.417179778101[/C][C]13.2842174665827[/C][/ROW]
[ROW][C]0.17[/C][C]274.493316706482[/C][C]14.7400705245331[/C][/ROW]
[ROW][C]0.18[/C][C]278.849604876397[/C][C]15.9176522693299[/C][/ROW]
[ROW][C]0.19[/C][C]283.402684547686[/C][C]16.6356948982837[/C][/ROW]
[ROW][C]0.2[/C][C]288.025415754533[/C][C]16.818941151482[/C][/ROW]
[ROW][C]0.21[/C][C]292.57986140219[/C][C]16.4852277797075[/C][/ROW]
[ROW][C]0.22[/C][C]296.943226240549[/C][C]15.7246259568382[/C][/ROW]
[ROW][C]0.23[/C][C]301.024631236093[/C][C]14.6743049595447[/C][/ROW]
[ROW][C]0.24[/C][C]304.772516839865[/C][C]13.4883425739374[/C][/ROW]
[ROW][C]0.25[/C][C]308.173688888566[/C][C]12.3082157966623[/C][/ROW]
[ROW][C]0.26[/C][C]311.246096923155[/C][C]11.241070373212[/C][/ROW]
[ROW][C]0.27[/C][C]314.028287235445[/C][C]10.346262251848[/C][/ROW]
[ROW][C]0.28[/C][C]316.568705909444[/C][C]9.64012752698205[/C][/ROW]
[ROW][C]0.29[/C][C]318.917418021148[/C][C]9.11120648223676[/C][/ROW]
[ROW][C]0.3[/C][C]321.121541973047[/C][C]8.74038269123519[/C][/ROW]
[ROW][C]0.31[/C][C]323.224253416441[/C][C]8.51559272752755[/C][/ROW]
[ROW][C]0.32[/C][C]325.266096530032[/C][C]8.43860600566483[/C][/ROW]
[ROW][C]0.33[/C][C]327.286861275681[/C][C]8.52375164848568[/C][/ROW]
[ROW][C]0.34[/C][C]329.326485402253[/C][C]8.78360735154633[/C][/ROW]
[ROW][C]0.35[/C][C]331.42414036855[/C][C]9.21826466301958[/C][/ROW]
[ROW][C]0.36[/C][C]333.615559251261[/C][C]9.80526118084697[/C][/ROW]
[ROW][C]0.37[/C][C]335.929441466791[/C][C]10.4987630834727[/C][/ROW]
[ROW][C]0.38[/C][C]338.384177288601[/C][C]11.2393876368872[/C][/ROW]
[ROW][C]0.39[/C][C]340.986071634537[/C][C]11.9646347963155[/C][/ROW]
[ROW][C]0.4[/C][C]343.729776426368[/C][C]12.6236666902321[/C][/ROW]
[ROW][C]0.41[/C][C]346.600962001791[/C][C]13.1849413495036[/C][/ROW]
[ROW][C]0.42[/C][C]349.580617232932[/C][C]13.6411107632581[/C][/ROW]
[ROW][C]0.43[/C][C]352.649963546369[/C][C]14.009146178815[/C][/ROW]
[ROW][C]0.44[/C][C]355.794884385641[/C][C]14.3243526307674[/C][/ROW]
[ROW][C]0.45[/C][C]359.008970681132[/C][C]14.6305772994414[/C][/ROW]
[ROW][C]0.46[/C][C]362.294647654851[/C][C]14.973117857459[/C][/ROW]
[ROW][C]0.47[/C][C]365.662249988848[/C][C]15.3865827657947[/C][/ROW]
[ROW][C]0.48[/C][C]369.127264497081[/C][C]15.8873001843214[/C][/ROW]
[ROW][C]0.49[/C][C]372.706234644337[/C][C]16.4698328169503[/C][/ROW]
[ROW][C]0.5[/C][C]376.412029221668[/C][C]17.1042915113247[/C][/ROW]
[ROW][C]0.51[/C][C]380.249323315349[/C][C]17.7379630819455[/C][/ROW]
[ROW][C]0.52[/C][C]384.211193400786[/C][C]18.3056930226609[/C][/ROW]
[ROW][C]0.53[/C][C]388.277628900221[/C][C]18.7393539562518[/C][/ROW]
[ROW][C]0.54[/C][C]392.416458007323[/C][C]18.9818885017587[/C][/ROW]
[ROW][C]0.55[/C][C]396.586686255671[/C][C]18.9984348801591[/C][/ROW]
[ROW][C]0.56[/C][C]400.743653990399[/C][C]18.7859870156433[/C][/ROW]
[ROW][C]0.57[/C][C]404.844907176351[/C][C]18.3716882867462[/C][/ROW]
[ROW][C]0.58[/C][C]408.855424679358[/C][C]17.8067764638007[/C][/ROW]
[ROW][C]0.59[/C][C]412.750962184693[/C][C]17.15487316653[/C][/ROW]
[ROW][C]0.6[/C][C]416.518746001504[/C][C]16.4759577007605[/C][/ROW]
[ROW][C]0.61[/C][C]420.155452883559[/C][C]15.8131864673087[/C][/ROW]
[ROW][C]0.62[/C][C]423.663155794444[/C][C]15.1843790866112[/C][/ROW]
[ROW][C]0.63[/C][C]427.044511439591[/C][C]14.5802300796656[/C][/ROW]
[ROW][C]0.64[/C][C]430.298766488928[/C][C]13.9726873779163[/C][/ROW]
[ROW][C]0.65[/C][C]433.420074669758[/C][C]13.3280249464454[/C][/ROW]
[ROW][C]0.66[/C][C]436.399115862514[/C][C]12.6251839197317[/C][/ROW]
[ROW][C]0.67[/C][C]439.228139331191[/C][C]11.8705177283133[/C][/ROW]
[ROW][C]0.68[/C][C]441.908474756433[/C][C]11.1109438358057[/C][/ROW]
[ROW][C]0.69[/C][C]444.458549147039[/C][C]10.4333111652326[/C][/ROW]
[ROW][C]0.7[/C][C]446.919876694117[/C][C]9.95705579236021[/C][/ROW]
[ROW][C]0.71[/C][C]449.358675099545[/C][C]9.80548468816045[/C][/ROW]
[ROW][C]0.72[/C][C]451.861829968415[/C][C]10.0699350831547[/C][/ROW]
[ROW][C]0.73[/C][C]454.527674110109[/C][C]10.770967099455[/C][/ROW]
[ROW][C]0.74[/C][C]457.453918002552[/C][C]11.8505871355551[/C][/ROW]
[ROW][C]0.75[/C][C]460.726297222348[/C][C]13.2014147919203[/C][/ROW]
[ROW][C]0.76[/C][C]464.411403076646[/C][C]14.7038099433035[/C][/ROW]
[ROW][C]0.77[/C][C]468.555474023763[/C][C]16.2603416291624[/C][/ROW]
[ROW][C]0.78[/C][C]473.18809605421[/C][C]17.8146652715919[/C][/ROW]
[ROW][C]0.79[/C][C]478.326973665969[/C][C]19.3427767440802[/C][/ROW]
[ROW][C]0.8[/C][C]483.978751524407[/C][C]20.8254330565453[/C][/ROW]
[ROW][C]0.81[/C][C]490.132506910436[/C][C]22.203802180765[/C][/ROW]
[ROW][C]0.82[/C][C]496.747010286157[/C][C]23.3528533510058[/C][/ROW]
[ROW][C]0.83[/C][C]503.738424690441[/C][C]24.0978695439533[/C][/ROW]
[ROW][C]0.84[/C][C]510.978533325171[/C][C]24.2690126444822[/C][/ROW]
[ROW][C]0.85[/C][C]518.311501572195[/C][C]23.7865835943047[/C][/ROW]
[ROW][C]0.86[/C][C]525.58858632949[/C][C]22.7284094128983[/C][/ROW]
[ROW][C]0.87[/C][C]532.708695667444[/C][C]21.3341546911288[/C][/ROW]
[ROW][C]0.88[/C][C]539.646183095156[/C][C]19.9255877845759[/C][/ROW]
[ROW][C]0.89[/C][C]546.45300296167[/C][C]18.7625974410778[/C][/ROW]
[ROW][C]0.9[/C][C]553.23889141997[/C][C]17.9413056404235[/C][/ROW]
[ROW][C]0.91[/C][C]560.146519156719[/C][C]17.4344942374506[/C][/ROW]
[ROW][C]0.92[/C][C]567.331257873063[/C][C]17.2040949434084[/C][/ROW]
[ROW][C]0.93[/C][C]574.92827785932[/C][C]17.1901839073091[/C][/ROW]
[ROW][C]0.94[/C][C]582.979017903329[/C][C]17.1155220112901[/C][/ROW]
[ROW][C]0.95[/C][C]591.355695609943[/C][C]16.4033095810334[/C][/ROW]
[ROW][C]0.96[/C][C]599.909748291543[/C][C]14.6381954940302[/C][/ROW]
[ROW][C]0.97[/C][C]609.283815722411[/C][C]12.8336101156344[/C][/ROW]
[ROW][C]0.98[/C][C]622.2773061851[/C][C]15.4277468193475[/C][/ROW]
[ROW][C]0.99[/C][C]641.955904633572[/C][C]26.8909184989757[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235517&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
0.01145.65257098317637.9495124713452
0.02172.84599639113920.6873332372029
0.03190.05578718684215.9846770740191
0.04201.23535917980914.8217567434192
0.05210.00094674663914.7080339741557
0.06217.83118611254715.7040863022736
0.07225.32643629397116.8339874732752
0.08232.60085692457517.1478944849705
0.09239.45610277984216.3591588447625
0.1245.6212226043114.7316635043147
0.11250.94453465079912.823483581868
0.12255.46723287602511.2594978708375
0.13259.39604538428910.5286191756136
0.14263.02143363961710.7919205290821
0.15266.62625469434911.8409241517743
0.16270.41717977810113.2842174665827
0.17274.49331670648214.7400705245331
0.18278.84960487639715.9176522693299
0.19283.40268454768616.6356948982837
0.2288.02541575453316.818941151482
0.21292.5798614021916.4852277797075
0.22296.94322624054915.7246259568382
0.23301.02463123609314.6743049595447
0.24304.77251683986513.4883425739374
0.25308.17368888856612.3082157966623
0.26311.24609692315511.241070373212
0.27314.02828723544510.346262251848
0.28316.5687059094449.64012752698205
0.29318.9174180211489.11120648223676
0.3321.1215419730478.74038269123519
0.31323.2242534164418.51559272752755
0.32325.2660965300328.43860600566483
0.33327.2868612756818.52375164848568
0.34329.3264854022538.78360735154633
0.35331.424140368559.21826466301958
0.36333.6155592512619.80526118084697
0.37335.92944146679110.4987630834727
0.38338.38417728860111.2393876368872
0.39340.98607163453711.9646347963155
0.4343.72977642636812.6236666902321
0.41346.60096200179113.1849413495036
0.42349.58061723293213.6411107632581
0.43352.64996354636914.009146178815
0.44355.79488438564114.3243526307674
0.45359.00897068113214.6305772994414
0.46362.29464765485114.973117857459
0.47365.66224998884815.3865827657947
0.48369.12726449708115.8873001843214
0.49372.70623464433716.4698328169503
0.5376.41202922166817.1042915113247
0.51380.24932331534917.7379630819455
0.52384.21119340078618.3056930226609
0.53388.27762890022118.7393539562518
0.54392.41645800732318.9818885017587
0.55396.58668625567118.9984348801591
0.56400.74365399039918.7859870156433
0.57404.84490717635118.3716882867462
0.58408.85542467935817.8067764638007
0.59412.75096218469317.15487316653
0.6416.51874600150416.4759577007605
0.61420.15545288355915.8131864673087
0.62423.66315579444415.1843790866112
0.63427.04451143959114.5802300796656
0.64430.29876648892813.9726873779163
0.65433.42007466975813.3280249464454
0.66436.39911586251412.6251839197317
0.67439.22813933119111.8705177283133
0.68441.90847475643311.1109438358057
0.69444.45854914703910.4333111652326
0.7446.9198766941179.95705579236021
0.71449.3586750995459.80548468816045
0.72451.86182996841510.0699350831547
0.73454.52767411010910.770967099455
0.74457.45391800255211.8505871355551
0.75460.72629722234813.2014147919203
0.76464.41140307664614.7038099433035
0.77468.55547402376316.2603416291624
0.78473.1880960542117.8146652715919
0.79478.32697366596919.3427767440802
0.8483.97875152440720.8254330565453
0.81490.13250691043622.203802180765
0.82496.74701028615723.3528533510058
0.83503.73842469044124.0978695439533
0.84510.97853332517124.2690126444822
0.85518.31150157219523.7865835943047
0.86525.5885863294922.7284094128983
0.87532.70869566744421.3341546911288
0.88539.64618309515619.9255877845759
0.89546.4530029616718.7625974410778
0.9553.2388914199717.9413056404235
0.91560.14651915671917.4344942374506
0.92567.33125787306317.2040949434084
0.93574.9282778593217.1901839073091
0.94582.97901790332917.1155220112901
0.95591.35569560994316.4033095810334
0.96599.90974829154314.6381954940302
0.97609.28381572241112.8336101156344
0.98622.277306185115.4277468193475
0.99641.95590463357226.8909184989757


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')