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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 07 Dec 2008 13:31:44 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/07/t1228682061pwrtvyvqlg7rn7s.htm/, Retrieved Wed, 22 May 2024 03:57:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30303, Retrieved Wed, 22 May 2024 03:57:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Percentile Tijdre...] [2008-10-16 15:43:46] [819b576fab25b35cfda70f80599828ec]
-       [Percentiles] [paper 1.5 percent...] [2008-12-07 20:13:33] [090686c1af2bb318059a6f656863a319]
- RMP       [Harrell-Davis Quantiles] [paper 1. harrel-d...] [2008-12-07 20:31:44] [c577d4c76516de948d1234ed72fcf120] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30303&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30303&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30303&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01432.2416852979464.54558847693947
0.015433.1401141729374.34559269692639
0.02434.1394294574524.19073977536204
0.025435.185452973664.10551117686915
0.03436.2397369085314.09783650010406
0.035437.2798216901614.16488946625895
0.04438.2963018568574.29815585969731
0.045439.2887442384364.48684013056177
0.05440.261775549374.71920711984363
0.055441.221976371484.98166562053614
0.06442.1757426865565.25969838237907
0.065443.1280163160495.53682783307944
0.07444.0816869637235.79719078806105
0.075445.0374636198016.02654068519042
0.08445.9940484670896.21219141191872
0.085446.948489684146.34521938252383
0.09447.8966259231946.42040078395432
0.095448.8335612367316.43651655328706
0.1449.7541266705516.39547941067335
0.105450.6532968937946.30256709075267
0.11451.5265397975056.1657371765031
0.115452.3700854854765.99417839194423
0.12453.1811089749455.7983229223147
0.125453.9578280437735.58888742509872
0.13454.6995235867585.37602983296873
0.135455.406494205415.16898929908486
0.14456.0799593765174.9763440115432
0.145456.7219264783384.80421602903896
0.15457.3350364431184.65797080079109
0.155457.9224012130034.54139833341121
0.16458.4874439066384.4561797902504
0.165459.0337500354514.40304716782041
0.17459.5649355547564.38128918579535
0.175460.084535219924.38910276374312
0.18460.5959127752454.42444779655268
0.185461.1021929861744.48387602268085
0.19461.6062144250454.56429466291147
0.195462.1105011875424.66293171412365
0.2462.6172512808484.77530010502825
0.205463.1283392104984.89964447754439
0.21463.6453302332155.03236404358004
0.215464.1695037832135.17158174491601
0.22464.7018836811035.31484825383883
0.225465.2432728745.46134592074623
0.23465.7942906210235.60935920601484
0.235466.3554102263835.75892642536057
0.24466.9269956328985.90919302053803
0.245467.5093354229916.06046068953612
0.25468.1026730310166.21347117884391
0.255468.7072322462966.36879036821237
0.26469.3232373730186.52616135141444
0.265469.9509277011646.68766119097711
0.27470.5905662200926.85299385692815
0.275471.2424427611597.0231486290241
0.28471.9068719769787.19859698786574
0.285472.5841867439397.37943326892123
0.29473.2747277059657.5655274655476
0.295473.9788297593447.75686214401227
0.3474.6968063125587.95255088060012
0.305475.4289321462538.15213681876033
0.31476.1754256541818.35506896729973
0.315476.9364311751598.55974456791645
0.32477.7120020383588.76457481361338
0.325478.502084848788.96868812342485
0.33479.3065054448299.17024413388958
0.335480.124956871679.36704627818687
0.34480.9569896369649.55773826151178
0.345481.8020044515349.7401808898411
0.35482.6592476064629.91276928013108
0.355483.52780909825610.0734694503461
0.36484.4066235817510.2195947220253
0.365485.2944742025810.3503540952805
0.37486.18999933315410.4633574134912
0.375487.09170220445910.5567441267412
0.38487.99796338787510.6292556366211
0.385488.9070560347410.6793607899909
0.39489.81716372631210.7061221418873
0.395490.72640072403410.7082279398896
0.4491.63283434188510.6855242536091
0.405492.53450909222910.637327538934
0.41493.42947218805610.5635188180152
0.415494.31579992201810.4655479178742
0.42495.1916243904610.3425024974233
0.425496.05515999267410.1965619752776
0.43496.904729114910.0289347877737
0.435497.7387864076269.84072984212048
0.44498.5559410845999.63500465934617
0.445499.3549767128859.41315648011955
0.45500.1348680244279.17808818201634
0.455500.8947943588668.93277184904251
0.46501.6341494423628.67911801837794
0.465502.352547314218.42087012421307
0.47503.0498243285058.16009875667885
0.475503.7260372776377.90016553839693
0.48504.3814578038547.64412913229038
0.485505.0165633799627.39414593170704
0.49505.6320252465287.15273806743373
0.495506.2286937865036.922382415111
0.5506.8075818955416.7056124171967
0.505507.3698469640916.503584488666
0.51507.9167721229616.31824704557163
0.515508.4497474152886.15064482112478
0.52508.9702515432176.00200310521293
0.525509.4798347965215.87293049102132
0.53509.9801037029525.7635892489185
0.535510.4727078476855.67482704581264
0.54510.9593291939255.6062082316451
0.545511.441674102195.55778911560721
0.55511.9214680963315.52987911839847
0.555512.4004532658335.52072226360435
0.56512.8803880327675.53230377356211
0.565513.363048855515.56285244703394
0.57513.8502332977465.61302679361213
0.575514.3437637684295.68330649411558
0.58514.8454911442015.773808612118
0.585515.3572974272265.8847885622931
0.59515.8810965746846.01654264750248
0.595516.4188326655826.17026559078244
0.6516.9724746484576.34634221493725
0.605517.5440070399616.54517341054723
0.61518.1354161166886.76618114914965
0.615518.7486713552357.0106203263397
0.62519.3857021206037.27725566732642
0.625520.0483698696817.56580341539474
0.63520.7384364120957.87401225299018
0.635521.4575290408438.19977470836007
0.64522.2071035946578.54195094488554
0.645522.988406728098.89636799791967
0.65523.8024388296789.26014591000728
0.655524.64991913149.62926337767079
0.66525.5312545847869.99909008114752
0.665526.44651403512910.3656027977456
0.67527.3954091042810.7235737893447
0.675528.37728299806311.0687264169647
0.68529.39110819470811.3961773904612
0.685530.43549365853511.7012821828183
0.69531.50870187466111.9802392345375
0.695532.60867563463612.2285043210332
0.7533.73307413979412.444345465663
0.705534.87931764879712.6237309028316
0.71536.04463959650112.7657847053159
0.715537.22614486802812.8698165939900
0.72538.42087273514312.9346218631515
0.725539.62586285690712.9607881613730
0.73540.83822271199612.9504561914556
0.735542.05519485931312.9047416710205
0.74543.27422250430912.8271083427683
0.745544.49301196444812.7197751799055
0.75545.70959075949712.5880537015695
0.755546.92236018131212.4349380900797
0.76548.13014130549912.2660236695301
0.765549.33221347930712.0856199468899
0.77550.52834434776411.8994362129479
0.775551.71881046164411.7123533995198
0.78552.90440745319311.529938431327
0.785554.08644868402511.3578314362621
0.79555.26675118872811.2007140894325
0.795556.44760768980911.0642013287498
0.8557.63174348464910.9521077167130
0.805558.82225714820610.8689643740764
0.81560.02254430504110.8174505387398
0.815561.23620424958810.8004318487338
0.82562.46692997889710.8179990334458
0.825563.71838328103110.8699509660525
0.83564.99405790845610.9546865297761
0.835566.29713554070611.0681612378215
0.84567.63034113798411.2050459802803
0.845568.99580627549411.3587825211574
0.85570.39495091270511.5210303033740
0.855571.82839548139911.6828525452755
0.86573.29591576246111.8335945924655
0.865574.79645227349111.9637446018427
0.87576.32818328269812.0633385132943
0.875577.8886656237312.1233653305039
0.88579.475039912412.1373231970920
0.885581.08428660479512.1005742426967
0.89582.71350716642312.0120918152472
0.895584.36019173794511.8749665143568
0.9586.0224232086711.6957989010469
0.905587.69896047446511.4857390398150
0.91589.38914434985211.2584194183696
0.915591.0925816212711.0284032974707
0.92592.80858868219710.8080322755466
0.925594.53541661536510.6037490042216
0.93596.2693316048810.4117722069267
0.935598.0036807433610.2153507693615
0.94599.7281212389769.98481415828931
0.945601.428214280419.68064832198604
0.95603.0855658797259.2612537332415
0.955604.6786227335638.69107276008965
0.96606.1841002965857.95133134446655
0.965607.5788517776447.04836144857748
0.97608.8418254187316.01972846050202
0.975609.9556719231514.93533920423857
0.98610.9076314791883.89324975066248
0.985611.6896026665643.00845241920889
0.99612.2977509553192.38678978490334

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 432.241685297946 & 4.54558847693947 \tabularnewline
0.015 & 433.140114172937 & 4.34559269692639 \tabularnewline
0.02 & 434.139429457452 & 4.19073977536204 \tabularnewline
0.025 & 435.18545297366 & 4.10551117686915 \tabularnewline
0.03 & 436.239736908531 & 4.09783650010406 \tabularnewline
0.035 & 437.279821690161 & 4.16488946625895 \tabularnewline
0.04 & 438.296301856857 & 4.29815585969731 \tabularnewline
0.045 & 439.288744238436 & 4.48684013056177 \tabularnewline
0.05 & 440.26177554937 & 4.71920711984363 \tabularnewline
0.055 & 441.22197637148 & 4.98166562053614 \tabularnewline
0.06 & 442.175742686556 & 5.25969838237907 \tabularnewline
0.065 & 443.128016316049 & 5.53682783307944 \tabularnewline
0.07 & 444.081686963723 & 5.79719078806105 \tabularnewline
0.075 & 445.037463619801 & 6.02654068519042 \tabularnewline
0.08 & 445.994048467089 & 6.21219141191872 \tabularnewline
0.085 & 446.94848968414 & 6.34521938252383 \tabularnewline
0.09 & 447.896625923194 & 6.42040078395432 \tabularnewline
0.095 & 448.833561236731 & 6.43651655328706 \tabularnewline
0.1 & 449.754126670551 & 6.39547941067335 \tabularnewline
0.105 & 450.653296893794 & 6.30256709075267 \tabularnewline
0.11 & 451.526539797505 & 6.1657371765031 \tabularnewline
0.115 & 452.370085485476 & 5.99417839194423 \tabularnewline
0.12 & 453.181108974945 & 5.7983229223147 \tabularnewline
0.125 & 453.957828043773 & 5.58888742509872 \tabularnewline
0.13 & 454.699523586758 & 5.37602983296873 \tabularnewline
0.135 & 455.40649420541 & 5.16898929908486 \tabularnewline
0.14 & 456.079959376517 & 4.9763440115432 \tabularnewline
0.145 & 456.721926478338 & 4.80421602903896 \tabularnewline
0.15 & 457.335036443118 & 4.65797080079109 \tabularnewline
0.155 & 457.922401213003 & 4.54139833341121 \tabularnewline
0.16 & 458.487443906638 & 4.4561797902504 \tabularnewline
0.165 & 459.033750035451 & 4.40304716782041 \tabularnewline
0.17 & 459.564935554756 & 4.38128918579535 \tabularnewline
0.175 & 460.08453521992 & 4.38910276374312 \tabularnewline
0.18 & 460.595912775245 & 4.42444779655268 \tabularnewline
0.185 & 461.102192986174 & 4.48387602268085 \tabularnewline
0.19 & 461.606214425045 & 4.56429466291147 \tabularnewline
0.195 & 462.110501187542 & 4.66293171412365 \tabularnewline
0.2 & 462.617251280848 & 4.77530010502825 \tabularnewline
0.205 & 463.128339210498 & 4.89964447754439 \tabularnewline
0.21 & 463.645330233215 & 5.03236404358004 \tabularnewline
0.215 & 464.169503783213 & 5.17158174491601 \tabularnewline
0.22 & 464.701883681103 & 5.31484825383883 \tabularnewline
0.225 & 465.243272874 & 5.46134592074623 \tabularnewline
0.23 & 465.794290621023 & 5.60935920601484 \tabularnewline
0.235 & 466.355410226383 & 5.75892642536057 \tabularnewline
0.24 & 466.926995632898 & 5.90919302053803 \tabularnewline
0.245 & 467.509335422991 & 6.06046068953612 \tabularnewline
0.25 & 468.102673031016 & 6.21347117884391 \tabularnewline
0.255 & 468.707232246296 & 6.36879036821237 \tabularnewline
0.26 & 469.323237373018 & 6.52616135141444 \tabularnewline
0.265 & 469.950927701164 & 6.68766119097711 \tabularnewline
0.27 & 470.590566220092 & 6.85299385692815 \tabularnewline
0.275 & 471.242442761159 & 7.0231486290241 \tabularnewline
0.28 & 471.906871976978 & 7.19859698786574 \tabularnewline
0.285 & 472.584186743939 & 7.37943326892123 \tabularnewline
0.29 & 473.274727705965 & 7.5655274655476 \tabularnewline
0.295 & 473.978829759344 & 7.75686214401227 \tabularnewline
0.3 & 474.696806312558 & 7.95255088060012 \tabularnewline
0.305 & 475.428932146253 & 8.15213681876033 \tabularnewline
0.31 & 476.175425654181 & 8.35506896729973 \tabularnewline
0.315 & 476.936431175159 & 8.55974456791645 \tabularnewline
0.32 & 477.712002038358 & 8.76457481361338 \tabularnewline
0.325 & 478.50208484878 & 8.96868812342485 \tabularnewline
0.33 & 479.306505444829 & 9.17024413388958 \tabularnewline
0.335 & 480.12495687167 & 9.36704627818687 \tabularnewline
0.34 & 480.956989636964 & 9.55773826151178 \tabularnewline
0.345 & 481.802004451534 & 9.7401808898411 \tabularnewline
0.35 & 482.659247606462 & 9.91276928013108 \tabularnewline
0.355 & 483.527809098256 & 10.0734694503461 \tabularnewline
0.36 & 484.40662358175 & 10.2195947220253 \tabularnewline
0.365 & 485.29447420258 & 10.3503540952805 \tabularnewline
0.37 & 486.189999333154 & 10.4633574134912 \tabularnewline
0.375 & 487.091702204459 & 10.5567441267412 \tabularnewline
0.38 & 487.997963387875 & 10.6292556366211 \tabularnewline
0.385 & 488.90705603474 & 10.6793607899909 \tabularnewline
0.39 & 489.817163726312 & 10.7061221418873 \tabularnewline
0.395 & 490.726400724034 & 10.7082279398896 \tabularnewline
0.4 & 491.632834341885 & 10.6855242536091 \tabularnewline
0.405 & 492.534509092229 & 10.637327538934 \tabularnewline
0.41 & 493.429472188056 & 10.5635188180152 \tabularnewline
0.415 & 494.315799922018 & 10.4655479178742 \tabularnewline
0.42 & 495.19162439046 & 10.3425024974233 \tabularnewline
0.425 & 496.055159992674 & 10.1965619752776 \tabularnewline
0.43 & 496.9047291149 & 10.0289347877737 \tabularnewline
0.435 & 497.738786407626 & 9.84072984212048 \tabularnewline
0.44 & 498.555941084599 & 9.63500465934617 \tabularnewline
0.445 & 499.354976712885 & 9.41315648011955 \tabularnewline
0.45 & 500.134868024427 & 9.17808818201634 \tabularnewline
0.455 & 500.894794358866 & 8.93277184904251 \tabularnewline
0.46 & 501.634149442362 & 8.67911801837794 \tabularnewline
0.465 & 502.35254731421 & 8.42087012421307 \tabularnewline
0.47 & 503.049824328505 & 8.16009875667885 \tabularnewline
0.475 & 503.726037277637 & 7.90016553839693 \tabularnewline
0.48 & 504.381457803854 & 7.64412913229038 \tabularnewline
0.485 & 505.016563379962 & 7.39414593170704 \tabularnewline
0.49 & 505.632025246528 & 7.15273806743373 \tabularnewline
0.495 & 506.228693786503 & 6.922382415111 \tabularnewline
0.5 & 506.807581895541 & 6.7056124171967 \tabularnewline
0.505 & 507.369846964091 & 6.503584488666 \tabularnewline
0.51 & 507.916772122961 & 6.31824704557163 \tabularnewline
0.515 & 508.449747415288 & 6.15064482112478 \tabularnewline
0.52 & 508.970251543217 & 6.00200310521293 \tabularnewline
0.525 & 509.479834796521 & 5.87293049102132 \tabularnewline
0.53 & 509.980103702952 & 5.7635892489185 \tabularnewline
0.535 & 510.472707847685 & 5.67482704581264 \tabularnewline
0.54 & 510.959329193925 & 5.6062082316451 \tabularnewline
0.545 & 511.44167410219 & 5.55778911560721 \tabularnewline
0.55 & 511.921468096331 & 5.52987911839847 \tabularnewline
0.555 & 512.400453265833 & 5.52072226360435 \tabularnewline
0.56 & 512.880388032767 & 5.53230377356211 \tabularnewline
0.565 & 513.36304885551 & 5.56285244703394 \tabularnewline
0.57 & 513.850233297746 & 5.61302679361213 \tabularnewline
0.575 & 514.343763768429 & 5.68330649411558 \tabularnewline
0.58 & 514.845491144201 & 5.773808612118 \tabularnewline
0.585 & 515.357297427226 & 5.8847885622931 \tabularnewline
0.59 & 515.881096574684 & 6.01654264750248 \tabularnewline
0.595 & 516.418832665582 & 6.17026559078244 \tabularnewline
0.6 & 516.972474648457 & 6.34634221493725 \tabularnewline
0.605 & 517.544007039961 & 6.54517341054723 \tabularnewline
0.61 & 518.135416116688 & 6.76618114914965 \tabularnewline
0.615 & 518.748671355235 & 7.0106203263397 \tabularnewline
0.62 & 519.385702120603 & 7.27725566732642 \tabularnewline
0.625 & 520.048369869681 & 7.56580341539474 \tabularnewline
0.63 & 520.738436412095 & 7.87401225299018 \tabularnewline
0.635 & 521.457529040843 & 8.19977470836007 \tabularnewline
0.64 & 522.207103594657 & 8.54195094488554 \tabularnewline
0.645 & 522.98840672809 & 8.89636799791967 \tabularnewline
0.65 & 523.802438829678 & 9.26014591000728 \tabularnewline
0.655 & 524.6499191314 & 9.62926337767079 \tabularnewline
0.66 & 525.531254584786 & 9.99909008114752 \tabularnewline
0.665 & 526.446514035129 & 10.3656027977456 \tabularnewline
0.67 & 527.39540910428 & 10.7235737893447 \tabularnewline
0.675 & 528.377282998063 & 11.0687264169647 \tabularnewline
0.68 & 529.391108194708 & 11.3961773904612 \tabularnewline
0.685 & 530.435493658535 & 11.7012821828183 \tabularnewline
0.69 & 531.508701874661 & 11.9802392345375 \tabularnewline
0.695 & 532.608675634636 & 12.2285043210332 \tabularnewline
0.7 & 533.733074139794 & 12.444345465663 \tabularnewline
0.705 & 534.879317648797 & 12.6237309028316 \tabularnewline
0.71 & 536.044639596501 & 12.7657847053159 \tabularnewline
0.715 & 537.226144868028 & 12.8698165939900 \tabularnewline
0.72 & 538.420872735143 & 12.9346218631515 \tabularnewline
0.725 & 539.625862856907 & 12.9607881613730 \tabularnewline
0.73 & 540.838222711996 & 12.9504561914556 \tabularnewline
0.735 & 542.055194859313 & 12.9047416710205 \tabularnewline
0.74 & 543.274222504309 & 12.8271083427683 \tabularnewline
0.745 & 544.493011964448 & 12.7197751799055 \tabularnewline
0.75 & 545.709590759497 & 12.5880537015695 \tabularnewline
0.755 & 546.922360181312 & 12.4349380900797 \tabularnewline
0.76 & 548.130141305499 & 12.2660236695301 \tabularnewline
0.765 & 549.332213479307 & 12.0856199468899 \tabularnewline
0.77 & 550.528344347764 & 11.8994362129479 \tabularnewline
0.775 & 551.718810461644 & 11.7123533995198 \tabularnewline
0.78 & 552.904407453193 & 11.529938431327 \tabularnewline
0.785 & 554.086448684025 & 11.3578314362621 \tabularnewline
0.79 & 555.266751188728 & 11.2007140894325 \tabularnewline
0.795 & 556.447607689809 & 11.0642013287498 \tabularnewline
0.8 & 557.631743484649 & 10.9521077167130 \tabularnewline
0.805 & 558.822257148206 & 10.8689643740764 \tabularnewline
0.81 & 560.022544305041 & 10.8174505387398 \tabularnewline
0.815 & 561.236204249588 & 10.8004318487338 \tabularnewline
0.82 & 562.466929978897 & 10.8179990334458 \tabularnewline
0.825 & 563.718383281031 & 10.8699509660525 \tabularnewline
0.83 & 564.994057908456 & 10.9546865297761 \tabularnewline
0.835 & 566.297135540706 & 11.0681612378215 \tabularnewline
0.84 & 567.630341137984 & 11.2050459802803 \tabularnewline
0.845 & 568.995806275494 & 11.3587825211574 \tabularnewline
0.85 & 570.394950912705 & 11.5210303033740 \tabularnewline
0.855 & 571.828395481399 & 11.6828525452755 \tabularnewline
0.86 & 573.295915762461 & 11.8335945924655 \tabularnewline
0.865 & 574.796452273491 & 11.9637446018427 \tabularnewline
0.87 & 576.328183282698 & 12.0633385132943 \tabularnewline
0.875 & 577.88866562373 & 12.1233653305039 \tabularnewline
0.88 & 579.4750399124 & 12.1373231970920 \tabularnewline
0.885 & 581.084286604795 & 12.1005742426967 \tabularnewline
0.89 & 582.713507166423 & 12.0120918152472 \tabularnewline
0.895 & 584.360191737945 & 11.8749665143568 \tabularnewline
0.9 & 586.02242320867 & 11.6957989010469 \tabularnewline
0.905 & 587.698960474465 & 11.4857390398150 \tabularnewline
0.91 & 589.389144349852 & 11.2584194183696 \tabularnewline
0.915 & 591.09258162127 & 11.0284032974707 \tabularnewline
0.92 & 592.808588682197 & 10.8080322755466 \tabularnewline
0.925 & 594.535416615365 & 10.6037490042216 \tabularnewline
0.93 & 596.26933160488 & 10.4117722069267 \tabularnewline
0.935 & 598.00368074336 & 10.2153507693615 \tabularnewline
0.94 & 599.728121238976 & 9.98481415828931 \tabularnewline
0.945 & 601.42821428041 & 9.68064832198604 \tabularnewline
0.95 & 603.085565879725 & 9.2612537332415 \tabularnewline
0.955 & 604.678622733563 & 8.69107276008965 \tabularnewline
0.96 & 606.184100296585 & 7.95133134446655 \tabularnewline
0.965 & 607.578851777644 & 7.04836144857748 \tabularnewline
0.97 & 608.841825418731 & 6.01972846050202 \tabularnewline
0.975 & 609.955671923151 & 4.93533920423857 \tabularnewline
0.98 & 610.907631479188 & 3.89324975066248 \tabularnewline
0.985 & 611.689602666564 & 3.00845241920889 \tabularnewline
0.99 & 612.297750955319 & 2.38678978490334 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30303&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]432.241685297946[/C][C]4.54558847693947[/C][/ROW]
[ROW][C]0.015[/C][C]433.140114172937[/C][C]4.34559269692639[/C][/ROW]
[ROW][C]0.02[/C][C]434.139429457452[/C][C]4.19073977536204[/C][/ROW]
[ROW][C]0.025[/C][C]435.18545297366[/C][C]4.10551117686915[/C][/ROW]
[ROW][C]0.03[/C][C]436.239736908531[/C][C]4.09783650010406[/C][/ROW]
[ROW][C]0.035[/C][C]437.279821690161[/C][C]4.16488946625895[/C][/ROW]
[ROW][C]0.04[/C][C]438.296301856857[/C][C]4.29815585969731[/C][/ROW]
[ROW][C]0.045[/C][C]439.288744238436[/C][C]4.48684013056177[/C][/ROW]
[ROW][C]0.05[/C][C]440.26177554937[/C][C]4.71920711984363[/C][/ROW]
[ROW][C]0.055[/C][C]441.22197637148[/C][C]4.98166562053614[/C][/ROW]
[ROW][C]0.06[/C][C]442.175742686556[/C][C]5.25969838237907[/C][/ROW]
[ROW][C]0.065[/C][C]443.128016316049[/C][C]5.53682783307944[/C][/ROW]
[ROW][C]0.07[/C][C]444.081686963723[/C][C]5.79719078806105[/C][/ROW]
[ROW][C]0.075[/C][C]445.037463619801[/C][C]6.02654068519042[/C][/ROW]
[ROW][C]0.08[/C][C]445.994048467089[/C][C]6.21219141191872[/C][/ROW]
[ROW][C]0.085[/C][C]446.94848968414[/C][C]6.34521938252383[/C][/ROW]
[ROW][C]0.09[/C][C]447.896625923194[/C][C]6.42040078395432[/C][/ROW]
[ROW][C]0.095[/C][C]448.833561236731[/C][C]6.43651655328706[/C][/ROW]
[ROW][C]0.1[/C][C]449.754126670551[/C][C]6.39547941067335[/C][/ROW]
[ROW][C]0.105[/C][C]450.653296893794[/C][C]6.30256709075267[/C][/ROW]
[ROW][C]0.11[/C][C]451.526539797505[/C][C]6.1657371765031[/C][/ROW]
[ROW][C]0.115[/C][C]452.370085485476[/C][C]5.99417839194423[/C][/ROW]
[ROW][C]0.12[/C][C]453.181108974945[/C][C]5.7983229223147[/C][/ROW]
[ROW][C]0.125[/C][C]453.957828043773[/C][C]5.58888742509872[/C][/ROW]
[ROW][C]0.13[/C][C]454.699523586758[/C][C]5.37602983296873[/C][/ROW]
[ROW][C]0.135[/C][C]455.40649420541[/C][C]5.16898929908486[/C][/ROW]
[ROW][C]0.14[/C][C]456.079959376517[/C][C]4.9763440115432[/C][/ROW]
[ROW][C]0.145[/C][C]456.721926478338[/C][C]4.80421602903896[/C][/ROW]
[ROW][C]0.15[/C][C]457.335036443118[/C][C]4.65797080079109[/C][/ROW]
[ROW][C]0.155[/C][C]457.922401213003[/C][C]4.54139833341121[/C][/ROW]
[ROW][C]0.16[/C][C]458.487443906638[/C][C]4.4561797902504[/C][/ROW]
[ROW][C]0.165[/C][C]459.033750035451[/C][C]4.40304716782041[/C][/ROW]
[ROW][C]0.17[/C][C]459.564935554756[/C][C]4.38128918579535[/C][/ROW]
[ROW][C]0.175[/C][C]460.08453521992[/C][C]4.38910276374312[/C][/ROW]
[ROW][C]0.18[/C][C]460.595912775245[/C][C]4.42444779655268[/C][/ROW]
[ROW][C]0.185[/C][C]461.102192986174[/C][C]4.48387602268085[/C][/ROW]
[ROW][C]0.19[/C][C]461.606214425045[/C][C]4.56429466291147[/C][/ROW]
[ROW][C]0.195[/C][C]462.110501187542[/C][C]4.66293171412365[/C][/ROW]
[ROW][C]0.2[/C][C]462.617251280848[/C][C]4.77530010502825[/C][/ROW]
[ROW][C]0.205[/C][C]463.128339210498[/C][C]4.89964447754439[/C][/ROW]
[ROW][C]0.21[/C][C]463.645330233215[/C][C]5.03236404358004[/C][/ROW]
[ROW][C]0.215[/C][C]464.169503783213[/C][C]5.17158174491601[/C][/ROW]
[ROW][C]0.22[/C][C]464.701883681103[/C][C]5.31484825383883[/C][/ROW]
[ROW][C]0.225[/C][C]465.243272874[/C][C]5.46134592074623[/C][/ROW]
[ROW][C]0.23[/C][C]465.794290621023[/C][C]5.60935920601484[/C][/ROW]
[ROW][C]0.235[/C][C]466.355410226383[/C][C]5.75892642536057[/C][/ROW]
[ROW][C]0.24[/C][C]466.926995632898[/C][C]5.90919302053803[/C][/ROW]
[ROW][C]0.245[/C][C]467.509335422991[/C][C]6.06046068953612[/C][/ROW]
[ROW][C]0.25[/C][C]468.102673031016[/C][C]6.21347117884391[/C][/ROW]
[ROW][C]0.255[/C][C]468.707232246296[/C][C]6.36879036821237[/C][/ROW]
[ROW][C]0.26[/C][C]469.323237373018[/C][C]6.52616135141444[/C][/ROW]
[ROW][C]0.265[/C][C]469.950927701164[/C][C]6.68766119097711[/C][/ROW]
[ROW][C]0.27[/C][C]470.590566220092[/C][C]6.85299385692815[/C][/ROW]
[ROW][C]0.275[/C][C]471.242442761159[/C][C]7.0231486290241[/C][/ROW]
[ROW][C]0.28[/C][C]471.906871976978[/C][C]7.19859698786574[/C][/ROW]
[ROW][C]0.285[/C][C]472.584186743939[/C][C]7.37943326892123[/C][/ROW]
[ROW][C]0.29[/C][C]473.274727705965[/C][C]7.5655274655476[/C][/ROW]
[ROW][C]0.295[/C][C]473.978829759344[/C][C]7.75686214401227[/C][/ROW]
[ROW][C]0.3[/C][C]474.696806312558[/C][C]7.95255088060012[/C][/ROW]
[ROW][C]0.305[/C][C]475.428932146253[/C][C]8.15213681876033[/C][/ROW]
[ROW][C]0.31[/C][C]476.175425654181[/C][C]8.35506896729973[/C][/ROW]
[ROW][C]0.315[/C][C]476.936431175159[/C][C]8.55974456791645[/C][/ROW]
[ROW][C]0.32[/C][C]477.712002038358[/C][C]8.76457481361338[/C][/ROW]
[ROW][C]0.325[/C][C]478.50208484878[/C][C]8.96868812342485[/C][/ROW]
[ROW][C]0.33[/C][C]479.306505444829[/C][C]9.17024413388958[/C][/ROW]
[ROW][C]0.335[/C][C]480.12495687167[/C][C]9.36704627818687[/C][/ROW]
[ROW][C]0.34[/C][C]480.956989636964[/C][C]9.55773826151178[/C][/ROW]
[ROW][C]0.345[/C][C]481.802004451534[/C][C]9.7401808898411[/C][/ROW]
[ROW][C]0.35[/C][C]482.659247606462[/C][C]9.91276928013108[/C][/ROW]
[ROW][C]0.355[/C][C]483.527809098256[/C][C]10.0734694503461[/C][/ROW]
[ROW][C]0.36[/C][C]484.40662358175[/C][C]10.2195947220253[/C][/ROW]
[ROW][C]0.365[/C][C]485.29447420258[/C][C]10.3503540952805[/C][/ROW]
[ROW][C]0.37[/C][C]486.189999333154[/C][C]10.4633574134912[/C][/ROW]
[ROW][C]0.375[/C][C]487.091702204459[/C][C]10.5567441267412[/C][/ROW]
[ROW][C]0.38[/C][C]487.997963387875[/C][C]10.6292556366211[/C][/ROW]
[ROW][C]0.385[/C][C]488.90705603474[/C][C]10.6793607899909[/C][/ROW]
[ROW][C]0.39[/C][C]489.817163726312[/C][C]10.7061221418873[/C][/ROW]
[ROW][C]0.395[/C][C]490.726400724034[/C][C]10.7082279398896[/C][/ROW]
[ROW][C]0.4[/C][C]491.632834341885[/C][C]10.6855242536091[/C][/ROW]
[ROW][C]0.405[/C][C]492.534509092229[/C][C]10.637327538934[/C][/ROW]
[ROW][C]0.41[/C][C]493.429472188056[/C][C]10.5635188180152[/C][/ROW]
[ROW][C]0.415[/C][C]494.315799922018[/C][C]10.4655479178742[/C][/ROW]
[ROW][C]0.42[/C][C]495.19162439046[/C][C]10.3425024974233[/C][/ROW]
[ROW][C]0.425[/C][C]496.055159992674[/C][C]10.1965619752776[/C][/ROW]
[ROW][C]0.43[/C][C]496.9047291149[/C][C]10.0289347877737[/C][/ROW]
[ROW][C]0.435[/C][C]497.738786407626[/C][C]9.84072984212048[/C][/ROW]
[ROW][C]0.44[/C][C]498.555941084599[/C][C]9.63500465934617[/C][/ROW]
[ROW][C]0.445[/C][C]499.354976712885[/C][C]9.41315648011955[/C][/ROW]
[ROW][C]0.45[/C][C]500.134868024427[/C][C]9.17808818201634[/C][/ROW]
[ROW][C]0.455[/C][C]500.894794358866[/C][C]8.93277184904251[/C][/ROW]
[ROW][C]0.46[/C][C]501.634149442362[/C][C]8.67911801837794[/C][/ROW]
[ROW][C]0.465[/C][C]502.35254731421[/C][C]8.42087012421307[/C][/ROW]
[ROW][C]0.47[/C][C]503.049824328505[/C][C]8.16009875667885[/C][/ROW]
[ROW][C]0.475[/C][C]503.726037277637[/C][C]7.90016553839693[/C][/ROW]
[ROW][C]0.48[/C][C]504.381457803854[/C][C]7.64412913229038[/C][/ROW]
[ROW][C]0.485[/C][C]505.016563379962[/C][C]7.39414593170704[/C][/ROW]
[ROW][C]0.49[/C][C]505.632025246528[/C][C]7.15273806743373[/C][/ROW]
[ROW][C]0.495[/C][C]506.228693786503[/C][C]6.922382415111[/C][/ROW]
[ROW][C]0.5[/C][C]506.807581895541[/C][C]6.7056124171967[/C][/ROW]
[ROW][C]0.505[/C][C]507.369846964091[/C][C]6.503584488666[/C][/ROW]
[ROW][C]0.51[/C][C]507.916772122961[/C][C]6.31824704557163[/C][/ROW]
[ROW][C]0.515[/C][C]508.449747415288[/C][C]6.15064482112478[/C][/ROW]
[ROW][C]0.52[/C][C]508.970251543217[/C][C]6.00200310521293[/C][/ROW]
[ROW][C]0.525[/C][C]509.479834796521[/C][C]5.87293049102132[/C][/ROW]
[ROW][C]0.53[/C][C]509.980103702952[/C][C]5.7635892489185[/C][/ROW]
[ROW][C]0.535[/C][C]510.472707847685[/C][C]5.67482704581264[/C][/ROW]
[ROW][C]0.54[/C][C]510.959329193925[/C][C]5.6062082316451[/C][/ROW]
[ROW][C]0.545[/C][C]511.44167410219[/C][C]5.55778911560721[/C][/ROW]
[ROW][C]0.55[/C][C]511.921468096331[/C][C]5.52987911839847[/C][/ROW]
[ROW][C]0.555[/C][C]512.400453265833[/C][C]5.52072226360435[/C][/ROW]
[ROW][C]0.56[/C][C]512.880388032767[/C][C]5.53230377356211[/C][/ROW]
[ROW][C]0.565[/C][C]513.36304885551[/C][C]5.56285244703394[/C][/ROW]
[ROW][C]0.57[/C][C]513.850233297746[/C][C]5.61302679361213[/C][/ROW]
[ROW][C]0.575[/C][C]514.343763768429[/C][C]5.68330649411558[/C][/ROW]
[ROW][C]0.58[/C][C]514.845491144201[/C][C]5.773808612118[/C][/ROW]
[ROW][C]0.585[/C][C]515.357297427226[/C][C]5.8847885622931[/C][/ROW]
[ROW][C]0.59[/C][C]515.881096574684[/C][C]6.01654264750248[/C][/ROW]
[ROW][C]0.595[/C][C]516.418832665582[/C][C]6.17026559078244[/C][/ROW]
[ROW][C]0.6[/C][C]516.972474648457[/C][C]6.34634221493725[/C][/ROW]
[ROW][C]0.605[/C][C]517.544007039961[/C][C]6.54517341054723[/C][/ROW]
[ROW][C]0.61[/C][C]518.135416116688[/C][C]6.76618114914965[/C][/ROW]
[ROW][C]0.615[/C][C]518.748671355235[/C][C]7.0106203263397[/C][/ROW]
[ROW][C]0.62[/C][C]519.385702120603[/C][C]7.27725566732642[/C][/ROW]
[ROW][C]0.625[/C][C]520.048369869681[/C][C]7.56580341539474[/C][/ROW]
[ROW][C]0.63[/C][C]520.738436412095[/C][C]7.87401225299018[/C][/ROW]
[ROW][C]0.635[/C][C]521.457529040843[/C][C]8.19977470836007[/C][/ROW]
[ROW][C]0.64[/C][C]522.207103594657[/C][C]8.54195094488554[/C][/ROW]
[ROW][C]0.645[/C][C]522.98840672809[/C][C]8.89636799791967[/C][/ROW]
[ROW][C]0.65[/C][C]523.802438829678[/C][C]9.26014591000728[/C][/ROW]
[ROW][C]0.655[/C][C]524.6499191314[/C][C]9.62926337767079[/C][/ROW]
[ROW][C]0.66[/C][C]525.531254584786[/C][C]9.99909008114752[/C][/ROW]
[ROW][C]0.665[/C][C]526.446514035129[/C][C]10.3656027977456[/C][/ROW]
[ROW][C]0.67[/C][C]527.39540910428[/C][C]10.7235737893447[/C][/ROW]
[ROW][C]0.675[/C][C]528.377282998063[/C][C]11.0687264169647[/C][/ROW]
[ROW][C]0.68[/C][C]529.391108194708[/C][C]11.3961773904612[/C][/ROW]
[ROW][C]0.685[/C][C]530.435493658535[/C][C]11.7012821828183[/C][/ROW]
[ROW][C]0.69[/C][C]531.508701874661[/C][C]11.9802392345375[/C][/ROW]
[ROW][C]0.695[/C][C]532.608675634636[/C][C]12.2285043210332[/C][/ROW]
[ROW][C]0.7[/C][C]533.733074139794[/C][C]12.444345465663[/C][/ROW]
[ROW][C]0.705[/C][C]534.879317648797[/C][C]12.6237309028316[/C][/ROW]
[ROW][C]0.71[/C][C]536.044639596501[/C][C]12.7657847053159[/C][/ROW]
[ROW][C]0.715[/C][C]537.226144868028[/C][C]12.8698165939900[/C][/ROW]
[ROW][C]0.72[/C][C]538.420872735143[/C][C]12.9346218631515[/C][/ROW]
[ROW][C]0.725[/C][C]539.625862856907[/C][C]12.9607881613730[/C][/ROW]
[ROW][C]0.73[/C][C]540.838222711996[/C][C]12.9504561914556[/C][/ROW]
[ROW][C]0.735[/C][C]542.055194859313[/C][C]12.9047416710205[/C][/ROW]
[ROW][C]0.74[/C][C]543.274222504309[/C][C]12.8271083427683[/C][/ROW]
[ROW][C]0.745[/C][C]544.493011964448[/C][C]12.7197751799055[/C][/ROW]
[ROW][C]0.75[/C][C]545.709590759497[/C][C]12.5880537015695[/C][/ROW]
[ROW][C]0.755[/C][C]546.922360181312[/C][C]12.4349380900797[/C][/ROW]
[ROW][C]0.76[/C][C]548.130141305499[/C][C]12.2660236695301[/C][/ROW]
[ROW][C]0.765[/C][C]549.332213479307[/C][C]12.0856199468899[/C][/ROW]
[ROW][C]0.77[/C][C]550.528344347764[/C][C]11.8994362129479[/C][/ROW]
[ROW][C]0.775[/C][C]551.718810461644[/C][C]11.7123533995198[/C][/ROW]
[ROW][C]0.78[/C][C]552.904407453193[/C][C]11.529938431327[/C][/ROW]
[ROW][C]0.785[/C][C]554.086448684025[/C][C]11.3578314362621[/C][/ROW]
[ROW][C]0.79[/C][C]555.266751188728[/C][C]11.2007140894325[/C][/ROW]
[ROW][C]0.795[/C][C]556.447607689809[/C][C]11.0642013287498[/C][/ROW]
[ROW][C]0.8[/C][C]557.631743484649[/C][C]10.9521077167130[/C][/ROW]
[ROW][C]0.805[/C][C]558.822257148206[/C][C]10.8689643740764[/C][/ROW]
[ROW][C]0.81[/C][C]560.022544305041[/C][C]10.8174505387398[/C][/ROW]
[ROW][C]0.815[/C][C]561.236204249588[/C][C]10.8004318487338[/C][/ROW]
[ROW][C]0.82[/C][C]562.466929978897[/C][C]10.8179990334458[/C][/ROW]
[ROW][C]0.825[/C][C]563.718383281031[/C][C]10.8699509660525[/C][/ROW]
[ROW][C]0.83[/C][C]564.994057908456[/C][C]10.9546865297761[/C][/ROW]
[ROW][C]0.835[/C][C]566.297135540706[/C][C]11.0681612378215[/C][/ROW]
[ROW][C]0.84[/C][C]567.630341137984[/C][C]11.2050459802803[/C][/ROW]
[ROW][C]0.845[/C][C]568.995806275494[/C][C]11.3587825211574[/C][/ROW]
[ROW][C]0.85[/C][C]570.394950912705[/C][C]11.5210303033740[/C][/ROW]
[ROW][C]0.855[/C][C]571.828395481399[/C][C]11.6828525452755[/C][/ROW]
[ROW][C]0.86[/C][C]573.295915762461[/C][C]11.8335945924655[/C][/ROW]
[ROW][C]0.865[/C][C]574.796452273491[/C][C]11.9637446018427[/C][/ROW]
[ROW][C]0.87[/C][C]576.328183282698[/C][C]12.0633385132943[/C][/ROW]
[ROW][C]0.875[/C][C]577.88866562373[/C][C]12.1233653305039[/C][/ROW]
[ROW][C]0.88[/C][C]579.4750399124[/C][C]12.1373231970920[/C][/ROW]
[ROW][C]0.885[/C][C]581.084286604795[/C][C]12.1005742426967[/C][/ROW]
[ROW][C]0.89[/C][C]582.713507166423[/C][C]12.0120918152472[/C][/ROW]
[ROW][C]0.895[/C][C]584.360191737945[/C][C]11.8749665143568[/C][/ROW]
[ROW][C]0.9[/C][C]586.02242320867[/C][C]11.6957989010469[/C][/ROW]
[ROW][C]0.905[/C][C]587.698960474465[/C][C]11.4857390398150[/C][/ROW]
[ROW][C]0.91[/C][C]589.389144349852[/C][C]11.2584194183696[/C][/ROW]
[ROW][C]0.915[/C][C]591.09258162127[/C][C]11.0284032974707[/C][/ROW]
[ROW][C]0.92[/C][C]592.808588682197[/C][C]10.8080322755466[/C][/ROW]
[ROW][C]0.925[/C][C]594.535416615365[/C][C]10.6037490042216[/C][/ROW]
[ROW][C]0.93[/C][C]596.26933160488[/C][C]10.4117722069267[/C][/ROW]
[ROW][C]0.935[/C][C]598.00368074336[/C][C]10.2153507693615[/C][/ROW]
[ROW][C]0.94[/C][C]599.728121238976[/C][C]9.98481415828931[/C][/ROW]
[ROW][C]0.945[/C][C]601.42821428041[/C][C]9.68064832198604[/C][/ROW]
[ROW][C]0.95[/C][C]603.085565879725[/C][C]9.2612537332415[/C][/ROW]
[ROW][C]0.955[/C][C]604.678622733563[/C][C]8.69107276008965[/C][/ROW]
[ROW][C]0.96[/C][C]606.184100296585[/C][C]7.95133134446655[/C][/ROW]
[ROW][C]0.965[/C][C]607.578851777644[/C][C]7.04836144857748[/C][/ROW]
[ROW][C]0.97[/C][C]608.841825418731[/C][C]6.01972846050202[/C][/ROW]
[ROW][C]0.975[/C][C]609.955671923151[/C][C]4.93533920423857[/C][/ROW]
[ROW][C]0.98[/C][C]610.907631479188[/C][C]3.89324975066248[/C][/ROW]
[ROW][C]0.985[/C][C]611.689602666564[/C][C]3.00845241920889[/C][/ROW]
[ROW][C]0.99[/C][C]612.297750955319[/C][C]2.38678978490334[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30303&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30303&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01432.2416852979464.54558847693947
0.015433.1401141729374.34559269692639
0.02434.1394294574524.19073977536204
0.025435.185452973664.10551117686915
0.03436.2397369085314.09783650010406
0.035437.2798216901614.16488946625895
0.04438.2963018568574.29815585969731
0.045439.2887442384364.48684013056177
0.05440.261775549374.71920711984363
0.055441.221976371484.98166562053614
0.06442.1757426865565.25969838237907
0.065443.1280163160495.53682783307944
0.07444.0816869637235.79719078806105
0.075445.0374636198016.02654068519042
0.08445.9940484670896.21219141191872
0.085446.948489684146.34521938252383
0.09447.8966259231946.42040078395432
0.095448.8335612367316.43651655328706
0.1449.7541266705516.39547941067335
0.105450.6532968937946.30256709075267
0.11451.5265397975056.1657371765031
0.115452.3700854854765.99417839194423
0.12453.1811089749455.7983229223147
0.125453.9578280437735.58888742509872
0.13454.6995235867585.37602983296873
0.135455.406494205415.16898929908486
0.14456.0799593765174.9763440115432
0.145456.7219264783384.80421602903896
0.15457.3350364431184.65797080079109
0.155457.9224012130034.54139833341121
0.16458.4874439066384.4561797902504
0.165459.0337500354514.40304716782041
0.17459.5649355547564.38128918579535
0.175460.084535219924.38910276374312
0.18460.5959127752454.42444779655268
0.185461.1021929861744.48387602268085
0.19461.6062144250454.56429466291147
0.195462.1105011875424.66293171412365
0.2462.6172512808484.77530010502825
0.205463.1283392104984.89964447754439
0.21463.6453302332155.03236404358004
0.215464.1695037832135.17158174491601
0.22464.7018836811035.31484825383883
0.225465.2432728745.46134592074623
0.23465.7942906210235.60935920601484
0.235466.3554102263835.75892642536057
0.24466.9269956328985.90919302053803
0.245467.5093354229916.06046068953612
0.25468.1026730310166.21347117884391
0.255468.7072322462966.36879036821237
0.26469.3232373730186.52616135141444
0.265469.9509277011646.68766119097711
0.27470.5905662200926.85299385692815
0.275471.2424427611597.0231486290241
0.28471.9068719769787.19859698786574
0.285472.5841867439397.37943326892123
0.29473.2747277059657.5655274655476
0.295473.9788297593447.75686214401227
0.3474.6968063125587.95255088060012
0.305475.4289321462538.15213681876033
0.31476.1754256541818.35506896729973
0.315476.9364311751598.55974456791645
0.32477.7120020383588.76457481361338
0.325478.502084848788.96868812342485
0.33479.3065054448299.17024413388958
0.335480.124956871679.36704627818687
0.34480.9569896369649.55773826151178
0.345481.8020044515349.7401808898411
0.35482.6592476064629.91276928013108
0.355483.52780909825610.0734694503461
0.36484.4066235817510.2195947220253
0.365485.2944742025810.3503540952805
0.37486.18999933315410.4633574134912
0.375487.09170220445910.5567441267412
0.38487.99796338787510.6292556366211
0.385488.9070560347410.6793607899909
0.39489.81716372631210.7061221418873
0.395490.72640072403410.7082279398896
0.4491.63283434188510.6855242536091
0.405492.53450909222910.637327538934
0.41493.42947218805610.5635188180152
0.415494.31579992201810.4655479178742
0.42495.1916243904610.3425024974233
0.425496.05515999267410.1965619752776
0.43496.904729114910.0289347877737
0.435497.7387864076269.84072984212048
0.44498.5559410845999.63500465934617
0.445499.3549767128859.41315648011955
0.45500.1348680244279.17808818201634
0.455500.8947943588668.93277184904251
0.46501.6341494423628.67911801837794
0.465502.352547314218.42087012421307
0.47503.0498243285058.16009875667885
0.475503.7260372776377.90016553839693
0.48504.3814578038547.64412913229038
0.485505.0165633799627.39414593170704
0.49505.6320252465287.15273806743373
0.495506.2286937865036.922382415111
0.5506.8075818955416.7056124171967
0.505507.3698469640916.503584488666
0.51507.9167721229616.31824704557163
0.515508.4497474152886.15064482112478
0.52508.9702515432176.00200310521293
0.525509.4798347965215.87293049102132
0.53509.9801037029525.7635892489185
0.535510.4727078476855.67482704581264
0.54510.9593291939255.6062082316451
0.545511.441674102195.55778911560721
0.55511.9214680963315.52987911839847
0.555512.4004532658335.52072226360435
0.56512.8803880327675.53230377356211
0.565513.363048855515.56285244703394
0.57513.8502332977465.61302679361213
0.575514.3437637684295.68330649411558
0.58514.8454911442015.773808612118
0.585515.3572974272265.8847885622931
0.59515.8810965746846.01654264750248
0.595516.4188326655826.17026559078244
0.6516.9724746484576.34634221493725
0.605517.5440070399616.54517341054723
0.61518.1354161166886.76618114914965
0.615518.7486713552357.0106203263397
0.62519.3857021206037.27725566732642
0.625520.0483698696817.56580341539474
0.63520.7384364120957.87401225299018
0.635521.4575290408438.19977470836007
0.64522.2071035946578.54195094488554
0.645522.988406728098.89636799791967
0.65523.8024388296789.26014591000728
0.655524.64991913149.62926337767079
0.66525.5312545847869.99909008114752
0.665526.44651403512910.3656027977456
0.67527.3954091042810.7235737893447
0.675528.37728299806311.0687264169647
0.68529.39110819470811.3961773904612
0.685530.43549365853511.7012821828183
0.69531.50870187466111.9802392345375
0.695532.60867563463612.2285043210332
0.7533.73307413979412.444345465663
0.705534.87931764879712.6237309028316
0.71536.04463959650112.7657847053159
0.715537.22614486802812.8698165939900
0.72538.42087273514312.9346218631515
0.725539.62586285690712.9607881613730
0.73540.83822271199612.9504561914556
0.735542.05519485931312.9047416710205
0.74543.27422250430912.8271083427683
0.745544.49301196444812.7197751799055
0.75545.70959075949712.5880537015695
0.755546.92236018131212.4349380900797
0.76548.13014130549912.2660236695301
0.765549.33221347930712.0856199468899
0.77550.52834434776411.8994362129479
0.775551.71881046164411.7123533995198
0.78552.90440745319311.529938431327
0.785554.08644868402511.3578314362621
0.79555.26675118872811.2007140894325
0.795556.44760768980911.0642013287498
0.8557.63174348464910.9521077167130
0.805558.82225714820610.8689643740764
0.81560.02254430504110.8174505387398
0.815561.23620424958810.8004318487338
0.82562.46692997889710.8179990334458
0.825563.71838328103110.8699509660525
0.83564.99405790845610.9546865297761
0.835566.29713554070611.0681612378215
0.84567.63034113798411.2050459802803
0.845568.99580627549411.3587825211574
0.85570.39495091270511.5210303033740
0.855571.82839548139911.6828525452755
0.86573.29591576246111.8335945924655
0.865574.79645227349111.9637446018427
0.87576.32818328269812.0633385132943
0.875577.8886656237312.1233653305039
0.88579.475039912412.1373231970920
0.885581.08428660479512.1005742426967
0.89582.71350716642312.0120918152472
0.895584.36019173794511.8749665143568
0.9586.0224232086711.6957989010469
0.905587.69896047446511.4857390398150
0.91589.38914434985211.2584194183696
0.915591.0925816212711.0284032974707
0.92592.80858868219710.8080322755466
0.925594.53541661536510.6037490042216
0.93596.2693316048810.4117722069267
0.935598.0036807433610.2153507693615
0.94599.7281212389769.98481415828931
0.945601.428214280419.68064832198604
0.95603.0855658797259.2612537332415
0.955604.6786227335638.69107276008965
0.96606.1841002965857.95133134446655
0.965607.5788517776447.04836144857748
0.97608.8418254187316.01972846050202
0.975609.9556719231514.93533920423857
0.98610.9076314791883.89324975066248
0.985611.6896026665643.00845241920889
0.99612.2977509553192.38678978490334


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')