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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 17 Oct 2009 06:17:53 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/17/t125578193573jh2o7dl51638o.htm/, Retrieved Sun, 05 May 2024 23:19:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47137, Retrieved Sun, 05 May 2024 23:19:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordssdws3
Estimated Impact137

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
-   PD      [Univariate Data Series] [y[t]-x[t]= c+e[t]] [2009-10-17 11:55:30] [f7fc9270f813d017f9fa5b506fdc7682]
- RMP           [Harrell-Davis Quantiles] [confidence interval] [2009-10-17 12:17:53] [2d672adbf8ae6977476cb9852ecac1a3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
376643
370037
358182
356625
348675
347652
368859
381303
367753
361112
350758
350754
357631
354425
346660
345181
342994
339946
361758
370490
373040
371009
354179
357361
363037
364153
363434
358410
356551
357445
379570
377613
376404
379665
378899
384098
392105
394149
392231
395590
392491
395893
418584
420585
420064
417696
409837
417869
426174
427853
429778
423952
422504
426529
440727
449002
451671
461854
454959
460866
460543
462768
462027
455748
455321
456149
472006
471654
471011
465436
458880
465030
468082
467356
463184
460486
462038
460849
476002
475863
470769
453286
443059
441660
444010
437582
427064
424117
416496
405611
431233
434217
417711
412099
404315
409339
412140
406280
398077
396995
385326
390094
412512
413263
400937
397363
397347
409383
418885
423560
428029
430001
424400
432721
455894
459146
445819

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47137&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47137&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01341819.9431308692628.19806454355
0.015343056.9160520592481.55233023086
0.02344231.1686728722392.47546034673
0.025345287.2426655712353.01930919127
0.03346234.2561606152369.83487223717
0.035347102.5725112832444.62112211068
0.04347922.0629461862565.52281868046
0.045348714.7340602572709.73009385964
0.05349493.6682638712852.95269288717
0.055350264.1460878372972.80954445646
0.06351025.4479989743054.08841303336
0.065351772.8415427913086.43581161515
0.07352499.5251826593068.46612352706
0.075353198.3676404473003.0176220737
0.08353863.3239585202900.56777121921
0.085354490.4530523972775.77596671895
0.09355078.5049874752645.50656252809
0.095355629.0887259222527.34126848725
0.1356146.4707840832437.59826968268
0.105356637.0876120982389.15842562103
0.11357108.8745012032390.98838477756
0.115357570.5185990112445.92707724836
0.12358030.7337656582550.61099570666
0.125358497.6340631342698.02137123246
0.13358978.2556849652880.45336483481
0.135359478.2492192523086.47156069595
0.14360001.7394613323307.75213126154
0.145360551.3312804273535.0429463749
0.15361128.2285114013761.74166662395
0.155361732.4283722933982.62895669599
0.16362362.9553814334192.66322228268
0.165363018.1044334324389.24243846979
0.17363695.6706496754570.17369910536
0.175364393.1520517974734.8747181925
0.18365107.9186332324882.62961116976
0.185365837.3471878375013.58988169196
0.19366578.9250069465128.7595014297
0.195367330.3274252575229.91352877074
0.2368089.4745960985317.3839579929
0.205368854.5723098325394.69580212024
0.21369624.1405870655462.8692551511
0.215370397.0325089815524.11080554856
0.22371172.4444871345581.48238107711
0.225371949.9180288125636.4600021798
0.23372729.3320897275692.67587444707
0.235373510.8844010175750.69429439473
0.24374295.059817035814.6881807197
0.245375082.5838707045885.47662359985
0.25375874.3604343925964.86691492511
0.255376671.3936825786052.70816459538
0.26377474.6963487786149.65090536685
0.265378285.1883542746255.17951421207
0.27379103.5919567946365.94575037374
0.275379930.3312697426478.69671374948
0.28380765.4449989946590.85022469414
0.285381608.5212771266696.63439596914
0.29382458.6624196136791.8250637206
0.295383314.4853206736870.46803794902
0.3384174.1602446576929.77709868699
0.305385035.4872799286965.52931539445
0.31385896.0061143656977.25531148639
0.315386753.1314922686962.72837031316
0.32387604.3041065366923.37641766421
0.325388447.1450591136861.92537975122
0.33389279.6015514856782.41111544596
0.335390100.0721702636688.53394032868
0.34390907.5019030736588.14989219226
0.345391701.4396413226484.76573446976
0.35392482.0541092896386.40957336899
0.355393250.1075794926298.74022675398
0.36394006.890071496224.63187811197
0.365394754.1196989566170.56291351391
0.37395493.8171996066136.74696228767
0.375396228.1642971356124.82522063966
0.38396959.3563227366134.43851943712
0.385397689.4594586466160.88500945076
0.39398420.2821166446204.1662075002
0.395399153.2684447866256.92399020378
0.4399889.4199230316315.27181608269
0.405400629.2486484466373.22263101073
0.41401372.7634234216427.74824061158
0.415402119.4873453926472.38624279195
0.42402868.5034388016504.15750244253
0.425403618.5231257866519.92519180433
0.43404367.9711173326518.11764853352
0.435405115.0796878916497.56464675951
0.44405857.9852858486456.92705085222
0.445406594.8209870016399.07747957169
0.45407323.799326556324.12366428246
0.455408043.2814157166234.95093610527
0.46408751.8298065236132.65634317793
0.465409448.2441494146021.27824772844
0.47410131.5801407265902.4113880109
0.475410801.153454525778.89438513046
0.48411456.5312090825652.46662539174
0.485412097.5139920255526.12902523474
0.49412724.1115666975400.51346404933
0.495413336.515156795276.79800375239
0.5413935.0687388025157.09967234243
0.505414520.241165825041.89297085194
0.51415092.600307294931.09745158477
0.515415652.7898133364826.23118010399
0.52416201.5086711914727.5349338860
0.525416739.4934563814634.32780194899
0.53417267.5030997764547.57681284137
0.535417786.306068714467.69668011968
0.54418296.6700468924394.12654421099
0.545418799.3544293024326.60393017728
0.55419295.1061573554265.7746220741
0.555419784.6595461834210.98223001004
0.56420268.740756754160.92096642825
0.565420748.077419434118.01932299866
0.57421223.4136254194079.09520445545
0.575421695.5300926274047.34995314994
0.58422165.2688249924020.39162197022
0.585422633.5610701554001.33901533274
0.59423101.4568945143990.23529248567
0.595423570.1542874353988.91252590711
0.6424041.0254199543998.53152008426
0.605424515.6375484294021.24685494932
0.61424995.766089084058.28886564288
0.615425483.3976027684113.55746265042
0.62425980.7208182224187.26498605998
0.625426490.1043748754281.15706042487
0.63427014.0606633734396.92977774244
0.635427555.1959527844535.77624791220
0.64428116.1478774134696.25628718068
0.645428699.5122591274878.25529811113
0.65429307.762096565079.96906858501
0.655429943.162283795298.89046789473
0.66430607.684147125532.58774573253
0.665431302.9241339715776.205465001
0.67432030.0308950586026.35893704622
0.675432789.6445438016277.39086390081
0.68433581.8510723686524.35012257409
0.685434406.1538190936762.28479541134
0.69435261.4626342346985.97443871237
0.695436146.1001363857191.4264077558
0.7437057.8233658237373.65484479862
0.705437993.8583898847529.40674372188
0.71438950.9451237127654.71497288056
0.715439925.389849547747.36540398349
0.72440913.1236069927805.90085193552
0.725441909.7656423047827.5273897512
0.73442910.6922143157811.18489324135
0.735443911.1119736197757.06732870847
0.74444906.1495696677664.49448660218
0.745445890.9388694417534.47822156294
0.75446860.7260807997367.66969630579
0.755447810.9812197177166.38558216688
0.76448737.5139838246934.11025356411
0.765449636.5876020776674.1087008822
0.77450505.0221396956390.5955866064
0.775451340.2775861346091.05657623011
0.78452140.5072902725779.82329670702
0.785452904.5741808555463.20782870415
0.79453632.025689555147.2163434908
0.795454323.0280274294837.78183445586
0.8454978.2658088994538.16772982859
0.805455598.8181228614252.61101120903
0.81456186.0261153963981.90179182974
0.815456741.3691846253727.28460584284
0.82457266.3664940183488.03092487826
0.825457762.5175880063261.96382538023
0.83458231.2907933043048.51444004076
0.835458674.1615562752846.39147463644
0.84459092.6958996282654.29502232808
0.845459488.6678337182474.23159676433
0.85459864.1947261662306.84372860543
0.855460221.8718969292155.30376933539
0.86460564.8872478722023.65337420351
0.865460897.0983747021915.56144050114
0.87461223.0579097291835.28257866945
0.875461547.9772599741787.20024703033
0.88461877.62388151773.79846754109
0.885462218.1522223571795.87981354085
0.89462575.8728819331852.54120635161
0.895462956.9676975811939.69979987236
0.9463367.1597536022052.56288662574
0.905463811.3465992842183.17630193015
0.91464293.2034888992323.58393514199
0.915464814.7647546982463.67833631491
0.92465376.0018750512592.70406566243
0.925465974.4448204012699.46344356664
0.93466604.9460863412771.44130175249
0.935467259.7639303132796.92214478702
0.94467929.2239275422766.38319165481
0.945468603.2551852372674.04827102979
0.95469273.9937147932524.79657103261
0.955469939.263293882336.68270782774
0.96470605.959222062147.07818718473
0.965471291.2206342072012.48819415445
0.97472018.29021961988.77860042206
0.975472804.3618363792078.04658538125
0.98473641.2271249352172.83018738604
0.985474476.8649615042076.66187716095
0.99475214.1517918251618.60102034484

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 341819.943130869 & 2628.19806454355 \tabularnewline
0.015 & 343056.916052059 & 2481.55233023086 \tabularnewline
0.02 & 344231.168672872 & 2392.47546034673 \tabularnewline
0.025 & 345287.242665571 & 2353.01930919127 \tabularnewline
0.03 & 346234.256160615 & 2369.83487223717 \tabularnewline
0.035 & 347102.572511283 & 2444.62112211068 \tabularnewline
0.04 & 347922.062946186 & 2565.52281868046 \tabularnewline
0.045 & 348714.734060257 & 2709.73009385964 \tabularnewline
0.05 & 349493.668263871 & 2852.95269288717 \tabularnewline
0.055 & 350264.146087837 & 2972.80954445646 \tabularnewline
0.06 & 351025.447998974 & 3054.08841303336 \tabularnewline
0.065 & 351772.841542791 & 3086.43581161515 \tabularnewline
0.07 & 352499.525182659 & 3068.46612352706 \tabularnewline
0.075 & 353198.367640447 & 3003.0176220737 \tabularnewline
0.08 & 353863.323958520 & 2900.56777121921 \tabularnewline
0.085 & 354490.453052397 & 2775.77596671895 \tabularnewline
0.09 & 355078.504987475 & 2645.50656252809 \tabularnewline
0.095 & 355629.088725922 & 2527.34126848725 \tabularnewline
0.1 & 356146.470784083 & 2437.59826968268 \tabularnewline
0.105 & 356637.087612098 & 2389.15842562103 \tabularnewline
0.11 & 357108.874501203 & 2390.98838477756 \tabularnewline
0.115 & 357570.518599011 & 2445.92707724836 \tabularnewline
0.12 & 358030.733765658 & 2550.61099570666 \tabularnewline
0.125 & 358497.634063134 & 2698.02137123246 \tabularnewline
0.13 & 358978.255684965 & 2880.45336483481 \tabularnewline
0.135 & 359478.249219252 & 3086.47156069595 \tabularnewline
0.14 & 360001.739461332 & 3307.75213126154 \tabularnewline
0.145 & 360551.331280427 & 3535.0429463749 \tabularnewline
0.15 & 361128.228511401 & 3761.74166662395 \tabularnewline
0.155 & 361732.428372293 & 3982.62895669599 \tabularnewline
0.16 & 362362.955381433 & 4192.66322228268 \tabularnewline
0.165 & 363018.104433432 & 4389.24243846979 \tabularnewline
0.17 & 363695.670649675 & 4570.17369910536 \tabularnewline
0.175 & 364393.152051797 & 4734.8747181925 \tabularnewline
0.18 & 365107.918633232 & 4882.62961116976 \tabularnewline
0.185 & 365837.347187837 & 5013.58988169196 \tabularnewline
0.19 & 366578.925006946 & 5128.7595014297 \tabularnewline
0.195 & 367330.327425257 & 5229.91352877074 \tabularnewline
0.2 & 368089.474596098 & 5317.3839579929 \tabularnewline
0.205 & 368854.572309832 & 5394.69580212024 \tabularnewline
0.21 & 369624.140587065 & 5462.8692551511 \tabularnewline
0.215 & 370397.032508981 & 5524.11080554856 \tabularnewline
0.22 & 371172.444487134 & 5581.48238107711 \tabularnewline
0.225 & 371949.918028812 & 5636.4600021798 \tabularnewline
0.23 & 372729.332089727 & 5692.67587444707 \tabularnewline
0.235 & 373510.884401017 & 5750.69429439473 \tabularnewline
0.24 & 374295.05981703 & 5814.6881807197 \tabularnewline
0.245 & 375082.583870704 & 5885.47662359985 \tabularnewline
0.25 & 375874.360434392 & 5964.86691492511 \tabularnewline
0.255 & 376671.393682578 & 6052.70816459538 \tabularnewline
0.26 & 377474.696348778 & 6149.65090536685 \tabularnewline
0.265 & 378285.188354274 & 6255.17951421207 \tabularnewline
0.27 & 379103.591956794 & 6365.94575037374 \tabularnewline
0.275 & 379930.331269742 & 6478.69671374948 \tabularnewline
0.28 & 380765.444998994 & 6590.85022469414 \tabularnewline
0.285 & 381608.521277126 & 6696.63439596914 \tabularnewline
0.29 & 382458.662419613 & 6791.8250637206 \tabularnewline
0.295 & 383314.485320673 & 6870.46803794902 \tabularnewline
0.3 & 384174.160244657 & 6929.77709868699 \tabularnewline
0.305 & 385035.487279928 & 6965.52931539445 \tabularnewline
0.31 & 385896.006114365 & 6977.25531148639 \tabularnewline
0.315 & 386753.131492268 & 6962.72837031316 \tabularnewline
0.32 & 387604.304106536 & 6923.37641766421 \tabularnewline
0.325 & 388447.145059113 & 6861.92537975122 \tabularnewline
0.33 & 389279.601551485 & 6782.41111544596 \tabularnewline
0.335 & 390100.072170263 & 6688.53394032868 \tabularnewline
0.34 & 390907.501903073 & 6588.14989219226 \tabularnewline
0.345 & 391701.439641322 & 6484.76573446976 \tabularnewline
0.35 & 392482.054109289 & 6386.40957336899 \tabularnewline
0.355 & 393250.107579492 & 6298.74022675398 \tabularnewline
0.36 & 394006.89007149 & 6224.63187811197 \tabularnewline
0.365 & 394754.119698956 & 6170.56291351391 \tabularnewline
0.37 & 395493.817199606 & 6136.74696228767 \tabularnewline
0.375 & 396228.164297135 & 6124.82522063966 \tabularnewline
0.38 & 396959.356322736 & 6134.43851943712 \tabularnewline
0.385 & 397689.459458646 & 6160.88500945076 \tabularnewline
0.39 & 398420.282116644 & 6204.1662075002 \tabularnewline
0.395 & 399153.268444786 & 6256.92399020378 \tabularnewline
0.4 & 399889.419923031 & 6315.27181608269 \tabularnewline
0.405 & 400629.248648446 & 6373.22263101073 \tabularnewline
0.41 & 401372.763423421 & 6427.74824061158 \tabularnewline
0.415 & 402119.487345392 & 6472.38624279195 \tabularnewline
0.42 & 402868.503438801 & 6504.15750244253 \tabularnewline
0.425 & 403618.523125786 & 6519.92519180433 \tabularnewline
0.43 & 404367.971117332 & 6518.11764853352 \tabularnewline
0.435 & 405115.079687891 & 6497.56464675951 \tabularnewline
0.44 & 405857.985285848 & 6456.92705085222 \tabularnewline
0.445 & 406594.820987001 & 6399.07747957169 \tabularnewline
0.45 & 407323.79932655 & 6324.12366428246 \tabularnewline
0.455 & 408043.281415716 & 6234.95093610527 \tabularnewline
0.46 & 408751.829806523 & 6132.65634317793 \tabularnewline
0.465 & 409448.244149414 & 6021.27824772844 \tabularnewline
0.47 & 410131.580140726 & 5902.4113880109 \tabularnewline
0.475 & 410801.15345452 & 5778.89438513046 \tabularnewline
0.48 & 411456.531209082 & 5652.46662539174 \tabularnewline
0.485 & 412097.513992025 & 5526.12902523474 \tabularnewline
0.49 & 412724.111566697 & 5400.51346404933 \tabularnewline
0.495 & 413336.51515679 & 5276.79800375239 \tabularnewline
0.5 & 413935.068738802 & 5157.09967234243 \tabularnewline
0.505 & 414520.24116582 & 5041.89297085194 \tabularnewline
0.51 & 415092.60030729 & 4931.09745158477 \tabularnewline
0.515 & 415652.789813336 & 4826.23118010399 \tabularnewline
0.52 & 416201.508671191 & 4727.5349338860 \tabularnewline
0.525 & 416739.493456381 & 4634.32780194899 \tabularnewline
0.53 & 417267.503099776 & 4547.57681284137 \tabularnewline
0.535 & 417786.30606871 & 4467.69668011968 \tabularnewline
0.54 & 418296.670046892 & 4394.12654421099 \tabularnewline
0.545 & 418799.354429302 & 4326.60393017728 \tabularnewline
0.55 & 419295.106157355 & 4265.7746220741 \tabularnewline
0.555 & 419784.659546183 & 4210.98223001004 \tabularnewline
0.56 & 420268.74075675 & 4160.92096642825 \tabularnewline
0.565 & 420748.07741943 & 4118.01932299866 \tabularnewline
0.57 & 421223.413625419 & 4079.09520445545 \tabularnewline
0.575 & 421695.530092627 & 4047.34995314994 \tabularnewline
0.58 & 422165.268824992 & 4020.39162197022 \tabularnewline
0.585 & 422633.561070155 & 4001.33901533274 \tabularnewline
0.59 & 423101.456894514 & 3990.23529248567 \tabularnewline
0.595 & 423570.154287435 & 3988.91252590711 \tabularnewline
0.6 & 424041.025419954 & 3998.53152008426 \tabularnewline
0.605 & 424515.637548429 & 4021.24685494932 \tabularnewline
0.61 & 424995.76608908 & 4058.28886564288 \tabularnewline
0.615 & 425483.397602768 & 4113.55746265042 \tabularnewline
0.62 & 425980.720818222 & 4187.26498605998 \tabularnewline
0.625 & 426490.104374875 & 4281.15706042487 \tabularnewline
0.63 & 427014.060663373 & 4396.92977774244 \tabularnewline
0.635 & 427555.195952784 & 4535.77624791220 \tabularnewline
0.64 & 428116.147877413 & 4696.25628718068 \tabularnewline
0.645 & 428699.512259127 & 4878.25529811113 \tabularnewline
0.65 & 429307.76209656 & 5079.96906858501 \tabularnewline
0.655 & 429943.16228379 & 5298.89046789473 \tabularnewline
0.66 & 430607.68414712 & 5532.58774573253 \tabularnewline
0.665 & 431302.924133971 & 5776.205465001 \tabularnewline
0.67 & 432030.030895058 & 6026.35893704622 \tabularnewline
0.675 & 432789.644543801 & 6277.39086390081 \tabularnewline
0.68 & 433581.851072368 & 6524.35012257409 \tabularnewline
0.685 & 434406.153819093 & 6762.28479541134 \tabularnewline
0.69 & 435261.462634234 & 6985.97443871237 \tabularnewline
0.695 & 436146.100136385 & 7191.4264077558 \tabularnewline
0.7 & 437057.823365823 & 7373.65484479862 \tabularnewline
0.705 & 437993.858389884 & 7529.40674372188 \tabularnewline
0.71 & 438950.945123712 & 7654.71497288056 \tabularnewline
0.715 & 439925.38984954 & 7747.36540398349 \tabularnewline
0.72 & 440913.123606992 & 7805.90085193552 \tabularnewline
0.725 & 441909.765642304 & 7827.5273897512 \tabularnewline
0.73 & 442910.692214315 & 7811.18489324135 \tabularnewline
0.735 & 443911.111973619 & 7757.06732870847 \tabularnewline
0.74 & 444906.149569667 & 7664.49448660218 \tabularnewline
0.745 & 445890.938869441 & 7534.47822156294 \tabularnewline
0.75 & 446860.726080799 & 7367.66969630579 \tabularnewline
0.755 & 447810.981219717 & 7166.38558216688 \tabularnewline
0.76 & 448737.513983824 & 6934.11025356411 \tabularnewline
0.765 & 449636.587602077 & 6674.1087008822 \tabularnewline
0.77 & 450505.022139695 & 6390.5955866064 \tabularnewline
0.775 & 451340.277586134 & 6091.05657623011 \tabularnewline
0.78 & 452140.507290272 & 5779.82329670702 \tabularnewline
0.785 & 452904.574180855 & 5463.20782870415 \tabularnewline
0.79 & 453632.02568955 & 5147.2163434908 \tabularnewline
0.795 & 454323.028027429 & 4837.78183445586 \tabularnewline
0.8 & 454978.265808899 & 4538.16772982859 \tabularnewline
0.805 & 455598.818122861 & 4252.61101120903 \tabularnewline
0.81 & 456186.026115396 & 3981.90179182974 \tabularnewline
0.815 & 456741.369184625 & 3727.28460584284 \tabularnewline
0.82 & 457266.366494018 & 3488.03092487826 \tabularnewline
0.825 & 457762.517588006 & 3261.96382538023 \tabularnewline
0.83 & 458231.290793304 & 3048.51444004076 \tabularnewline
0.835 & 458674.161556275 & 2846.39147463644 \tabularnewline
0.84 & 459092.695899628 & 2654.29502232808 \tabularnewline
0.845 & 459488.667833718 & 2474.23159676433 \tabularnewline
0.85 & 459864.194726166 & 2306.84372860543 \tabularnewline
0.855 & 460221.871896929 & 2155.30376933539 \tabularnewline
0.86 & 460564.887247872 & 2023.65337420351 \tabularnewline
0.865 & 460897.098374702 & 1915.56144050114 \tabularnewline
0.87 & 461223.057909729 & 1835.28257866945 \tabularnewline
0.875 & 461547.977259974 & 1787.20024703033 \tabularnewline
0.88 & 461877.6238815 & 1773.79846754109 \tabularnewline
0.885 & 462218.152222357 & 1795.87981354085 \tabularnewline
0.89 & 462575.872881933 & 1852.54120635161 \tabularnewline
0.895 & 462956.967697581 & 1939.69979987236 \tabularnewline
0.9 & 463367.159753602 & 2052.56288662574 \tabularnewline
0.905 & 463811.346599284 & 2183.17630193015 \tabularnewline
0.91 & 464293.203488899 & 2323.58393514199 \tabularnewline
0.915 & 464814.764754698 & 2463.67833631491 \tabularnewline
0.92 & 465376.001875051 & 2592.70406566243 \tabularnewline
0.925 & 465974.444820401 & 2699.46344356664 \tabularnewline
0.93 & 466604.946086341 & 2771.44130175249 \tabularnewline
0.935 & 467259.763930313 & 2796.92214478702 \tabularnewline
0.94 & 467929.223927542 & 2766.38319165481 \tabularnewline
0.945 & 468603.255185237 & 2674.04827102979 \tabularnewline
0.95 & 469273.993714793 & 2524.79657103261 \tabularnewline
0.955 & 469939.26329388 & 2336.68270782774 \tabularnewline
0.96 & 470605.95922206 & 2147.07818718473 \tabularnewline
0.965 & 471291.220634207 & 2012.48819415445 \tabularnewline
0.97 & 472018.2902196 & 1988.77860042206 \tabularnewline
0.975 & 472804.361836379 & 2078.04658538125 \tabularnewline
0.98 & 473641.227124935 & 2172.83018738604 \tabularnewline
0.985 & 474476.864961504 & 2076.66187716095 \tabularnewline
0.99 & 475214.151791825 & 1618.60102034484 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47137&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]341819.943130869[/C][C]2628.19806454355[/C][/ROW]
[ROW][C]0.015[/C][C]343056.916052059[/C][C]2481.55233023086[/C][/ROW]
[ROW][C]0.02[/C][C]344231.168672872[/C][C]2392.47546034673[/C][/ROW]
[ROW][C]0.025[/C][C]345287.242665571[/C][C]2353.01930919127[/C][/ROW]
[ROW][C]0.03[/C][C]346234.256160615[/C][C]2369.83487223717[/C][/ROW]
[ROW][C]0.035[/C][C]347102.572511283[/C][C]2444.62112211068[/C][/ROW]
[ROW][C]0.04[/C][C]347922.062946186[/C][C]2565.52281868046[/C][/ROW]
[ROW][C]0.045[/C][C]348714.734060257[/C][C]2709.73009385964[/C][/ROW]
[ROW][C]0.05[/C][C]349493.668263871[/C][C]2852.95269288717[/C][/ROW]
[ROW][C]0.055[/C][C]350264.146087837[/C][C]2972.80954445646[/C][/ROW]
[ROW][C]0.06[/C][C]351025.447998974[/C][C]3054.08841303336[/C][/ROW]
[ROW][C]0.065[/C][C]351772.841542791[/C][C]3086.43581161515[/C][/ROW]
[ROW][C]0.07[/C][C]352499.525182659[/C][C]3068.46612352706[/C][/ROW]
[ROW][C]0.075[/C][C]353198.367640447[/C][C]3003.0176220737[/C][/ROW]
[ROW][C]0.08[/C][C]353863.323958520[/C][C]2900.56777121921[/C][/ROW]
[ROW][C]0.085[/C][C]354490.453052397[/C][C]2775.77596671895[/C][/ROW]
[ROW][C]0.09[/C][C]355078.504987475[/C][C]2645.50656252809[/C][/ROW]
[ROW][C]0.095[/C][C]355629.088725922[/C][C]2527.34126848725[/C][/ROW]
[ROW][C]0.1[/C][C]356146.470784083[/C][C]2437.59826968268[/C][/ROW]
[ROW][C]0.105[/C][C]356637.087612098[/C][C]2389.15842562103[/C][/ROW]
[ROW][C]0.11[/C][C]357108.874501203[/C][C]2390.98838477756[/C][/ROW]
[ROW][C]0.115[/C][C]357570.518599011[/C][C]2445.92707724836[/C][/ROW]
[ROW][C]0.12[/C][C]358030.733765658[/C][C]2550.61099570666[/C][/ROW]
[ROW][C]0.125[/C][C]358497.634063134[/C][C]2698.02137123246[/C][/ROW]
[ROW][C]0.13[/C][C]358978.255684965[/C][C]2880.45336483481[/C][/ROW]
[ROW][C]0.135[/C][C]359478.249219252[/C][C]3086.47156069595[/C][/ROW]
[ROW][C]0.14[/C][C]360001.739461332[/C][C]3307.75213126154[/C][/ROW]
[ROW][C]0.145[/C][C]360551.331280427[/C][C]3535.0429463749[/C][/ROW]
[ROW][C]0.15[/C][C]361128.228511401[/C][C]3761.74166662395[/C][/ROW]
[ROW][C]0.155[/C][C]361732.428372293[/C][C]3982.62895669599[/C][/ROW]
[ROW][C]0.16[/C][C]362362.955381433[/C][C]4192.66322228268[/C][/ROW]
[ROW][C]0.165[/C][C]363018.104433432[/C][C]4389.24243846979[/C][/ROW]
[ROW][C]0.17[/C][C]363695.670649675[/C][C]4570.17369910536[/C][/ROW]
[ROW][C]0.175[/C][C]364393.152051797[/C][C]4734.8747181925[/C][/ROW]
[ROW][C]0.18[/C][C]365107.918633232[/C][C]4882.62961116976[/C][/ROW]
[ROW][C]0.185[/C][C]365837.347187837[/C][C]5013.58988169196[/C][/ROW]
[ROW][C]0.19[/C][C]366578.925006946[/C][C]5128.7595014297[/C][/ROW]
[ROW][C]0.195[/C][C]367330.327425257[/C][C]5229.91352877074[/C][/ROW]
[ROW][C]0.2[/C][C]368089.474596098[/C][C]5317.3839579929[/C][/ROW]
[ROW][C]0.205[/C][C]368854.572309832[/C][C]5394.69580212024[/C][/ROW]
[ROW][C]0.21[/C][C]369624.140587065[/C][C]5462.8692551511[/C][/ROW]
[ROW][C]0.215[/C][C]370397.032508981[/C][C]5524.11080554856[/C][/ROW]
[ROW][C]0.22[/C][C]371172.444487134[/C][C]5581.48238107711[/C][/ROW]
[ROW][C]0.225[/C][C]371949.918028812[/C][C]5636.4600021798[/C][/ROW]
[ROW][C]0.23[/C][C]372729.332089727[/C][C]5692.67587444707[/C][/ROW]
[ROW][C]0.235[/C][C]373510.884401017[/C][C]5750.69429439473[/C][/ROW]
[ROW][C]0.24[/C][C]374295.05981703[/C][C]5814.6881807197[/C][/ROW]
[ROW][C]0.245[/C][C]375082.583870704[/C][C]5885.47662359985[/C][/ROW]
[ROW][C]0.25[/C][C]375874.360434392[/C][C]5964.86691492511[/C][/ROW]
[ROW][C]0.255[/C][C]376671.393682578[/C][C]6052.70816459538[/C][/ROW]
[ROW][C]0.26[/C][C]377474.696348778[/C][C]6149.65090536685[/C][/ROW]
[ROW][C]0.265[/C][C]378285.188354274[/C][C]6255.17951421207[/C][/ROW]
[ROW][C]0.27[/C][C]379103.591956794[/C][C]6365.94575037374[/C][/ROW]
[ROW][C]0.275[/C][C]379930.331269742[/C][C]6478.69671374948[/C][/ROW]
[ROW][C]0.28[/C][C]380765.444998994[/C][C]6590.85022469414[/C][/ROW]
[ROW][C]0.285[/C][C]381608.521277126[/C][C]6696.63439596914[/C][/ROW]
[ROW][C]0.29[/C][C]382458.662419613[/C][C]6791.8250637206[/C][/ROW]
[ROW][C]0.295[/C][C]383314.485320673[/C][C]6870.46803794902[/C][/ROW]
[ROW][C]0.3[/C][C]384174.160244657[/C][C]6929.77709868699[/C][/ROW]
[ROW][C]0.305[/C][C]385035.487279928[/C][C]6965.52931539445[/C][/ROW]
[ROW][C]0.31[/C][C]385896.006114365[/C][C]6977.25531148639[/C][/ROW]
[ROW][C]0.315[/C][C]386753.131492268[/C][C]6962.72837031316[/C][/ROW]
[ROW][C]0.32[/C][C]387604.304106536[/C][C]6923.37641766421[/C][/ROW]
[ROW][C]0.325[/C][C]388447.145059113[/C][C]6861.92537975122[/C][/ROW]
[ROW][C]0.33[/C][C]389279.601551485[/C][C]6782.41111544596[/C][/ROW]
[ROW][C]0.335[/C][C]390100.072170263[/C][C]6688.53394032868[/C][/ROW]
[ROW][C]0.34[/C][C]390907.501903073[/C][C]6588.14989219226[/C][/ROW]
[ROW][C]0.345[/C][C]391701.439641322[/C][C]6484.76573446976[/C][/ROW]
[ROW][C]0.35[/C][C]392482.054109289[/C][C]6386.40957336899[/C][/ROW]
[ROW][C]0.355[/C][C]393250.107579492[/C][C]6298.74022675398[/C][/ROW]
[ROW][C]0.36[/C][C]394006.89007149[/C][C]6224.63187811197[/C][/ROW]
[ROW][C]0.365[/C][C]394754.119698956[/C][C]6170.56291351391[/C][/ROW]
[ROW][C]0.37[/C][C]395493.817199606[/C][C]6136.74696228767[/C][/ROW]
[ROW][C]0.375[/C][C]396228.164297135[/C][C]6124.82522063966[/C][/ROW]
[ROW][C]0.38[/C][C]396959.356322736[/C][C]6134.43851943712[/C][/ROW]
[ROW][C]0.385[/C][C]397689.459458646[/C][C]6160.88500945076[/C][/ROW]
[ROW][C]0.39[/C][C]398420.282116644[/C][C]6204.1662075002[/C][/ROW]
[ROW][C]0.395[/C][C]399153.268444786[/C][C]6256.92399020378[/C][/ROW]
[ROW][C]0.4[/C][C]399889.419923031[/C][C]6315.27181608269[/C][/ROW]
[ROW][C]0.405[/C][C]400629.248648446[/C][C]6373.22263101073[/C][/ROW]
[ROW][C]0.41[/C][C]401372.763423421[/C][C]6427.74824061158[/C][/ROW]
[ROW][C]0.415[/C][C]402119.487345392[/C][C]6472.38624279195[/C][/ROW]
[ROW][C]0.42[/C][C]402868.503438801[/C][C]6504.15750244253[/C][/ROW]
[ROW][C]0.425[/C][C]403618.523125786[/C][C]6519.92519180433[/C][/ROW]
[ROW][C]0.43[/C][C]404367.971117332[/C][C]6518.11764853352[/C][/ROW]
[ROW][C]0.435[/C][C]405115.079687891[/C][C]6497.56464675951[/C][/ROW]
[ROW][C]0.44[/C][C]405857.985285848[/C][C]6456.92705085222[/C][/ROW]
[ROW][C]0.445[/C][C]406594.820987001[/C][C]6399.07747957169[/C][/ROW]
[ROW][C]0.45[/C][C]407323.79932655[/C][C]6324.12366428246[/C][/ROW]
[ROW][C]0.455[/C][C]408043.281415716[/C][C]6234.95093610527[/C][/ROW]
[ROW][C]0.46[/C][C]408751.829806523[/C][C]6132.65634317793[/C][/ROW]
[ROW][C]0.465[/C][C]409448.244149414[/C][C]6021.27824772844[/C][/ROW]
[ROW][C]0.47[/C][C]410131.580140726[/C][C]5902.4113880109[/C][/ROW]
[ROW][C]0.475[/C][C]410801.15345452[/C][C]5778.89438513046[/C][/ROW]
[ROW][C]0.48[/C][C]411456.531209082[/C][C]5652.46662539174[/C][/ROW]
[ROW][C]0.485[/C][C]412097.513992025[/C][C]5526.12902523474[/C][/ROW]
[ROW][C]0.49[/C][C]412724.111566697[/C][C]5400.51346404933[/C][/ROW]
[ROW][C]0.495[/C][C]413336.51515679[/C][C]5276.79800375239[/C][/ROW]
[ROW][C]0.5[/C][C]413935.068738802[/C][C]5157.09967234243[/C][/ROW]
[ROW][C]0.505[/C][C]414520.24116582[/C][C]5041.89297085194[/C][/ROW]
[ROW][C]0.51[/C][C]415092.60030729[/C][C]4931.09745158477[/C][/ROW]
[ROW][C]0.515[/C][C]415652.789813336[/C][C]4826.23118010399[/C][/ROW]
[ROW][C]0.52[/C][C]416201.508671191[/C][C]4727.5349338860[/C][/ROW]
[ROW][C]0.525[/C][C]416739.493456381[/C][C]4634.32780194899[/C][/ROW]
[ROW][C]0.53[/C][C]417267.503099776[/C][C]4547.57681284137[/C][/ROW]
[ROW][C]0.535[/C][C]417786.30606871[/C][C]4467.69668011968[/C][/ROW]
[ROW][C]0.54[/C][C]418296.670046892[/C][C]4394.12654421099[/C][/ROW]
[ROW][C]0.545[/C][C]418799.354429302[/C][C]4326.60393017728[/C][/ROW]
[ROW][C]0.55[/C][C]419295.106157355[/C][C]4265.7746220741[/C][/ROW]
[ROW][C]0.555[/C][C]419784.659546183[/C][C]4210.98223001004[/C][/ROW]
[ROW][C]0.56[/C][C]420268.74075675[/C][C]4160.92096642825[/C][/ROW]
[ROW][C]0.565[/C][C]420748.07741943[/C][C]4118.01932299866[/C][/ROW]
[ROW][C]0.57[/C][C]421223.413625419[/C][C]4079.09520445545[/C][/ROW]
[ROW][C]0.575[/C][C]421695.530092627[/C][C]4047.34995314994[/C][/ROW]
[ROW][C]0.58[/C][C]422165.268824992[/C][C]4020.39162197022[/C][/ROW]
[ROW][C]0.585[/C][C]422633.561070155[/C][C]4001.33901533274[/C][/ROW]
[ROW][C]0.59[/C][C]423101.456894514[/C][C]3990.23529248567[/C][/ROW]
[ROW][C]0.595[/C][C]423570.154287435[/C][C]3988.91252590711[/C][/ROW]
[ROW][C]0.6[/C][C]424041.025419954[/C][C]3998.53152008426[/C][/ROW]
[ROW][C]0.605[/C][C]424515.637548429[/C][C]4021.24685494932[/C][/ROW]
[ROW][C]0.61[/C][C]424995.76608908[/C][C]4058.28886564288[/C][/ROW]
[ROW][C]0.615[/C][C]425483.397602768[/C][C]4113.55746265042[/C][/ROW]
[ROW][C]0.62[/C][C]425980.720818222[/C][C]4187.26498605998[/C][/ROW]
[ROW][C]0.625[/C][C]426490.104374875[/C][C]4281.15706042487[/C][/ROW]
[ROW][C]0.63[/C][C]427014.060663373[/C][C]4396.92977774244[/C][/ROW]
[ROW][C]0.635[/C][C]427555.195952784[/C][C]4535.77624791220[/C][/ROW]
[ROW][C]0.64[/C][C]428116.147877413[/C][C]4696.25628718068[/C][/ROW]
[ROW][C]0.645[/C][C]428699.512259127[/C][C]4878.25529811113[/C][/ROW]
[ROW][C]0.65[/C][C]429307.76209656[/C][C]5079.96906858501[/C][/ROW]
[ROW][C]0.655[/C][C]429943.16228379[/C][C]5298.89046789473[/C][/ROW]
[ROW][C]0.66[/C][C]430607.68414712[/C][C]5532.58774573253[/C][/ROW]
[ROW][C]0.665[/C][C]431302.924133971[/C][C]5776.205465001[/C][/ROW]
[ROW][C]0.67[/C][C]432030.030895058[/C][C]6026.35893704622[/C][/ROW]
[ROW][C]0.675[/C][C]432789.644543801[/C][C]6277.39086390081[/C][/ROW]
[ROW][C]0.68[/C][C]433581.851072368[/C][C]6524.35012257409[/C][/ROW]
[ROW][C]0.685[/C][C]434406.153819093[/C][C]6762.28479541134[/C][/ROW]
[ROW][C]0.69[/C][C]435261.462634234[/C][C]6985.97443871237[/C][/ROW]
[ROW][C]0.695[/C][C]436146.100136385[/C][C]7191.4264077558[/C][/ROW]
[ROW][C]0.7[/C][C]437057.823365823[/C][C]7373.65484479862[/C][/ROW]
[ROW][C]0.705[/C][C]437993.858389884[/C][C]7529.40674372188[/C][/ROW]
[ROW][C]0.71[/C][C]438950.945123712[/C][C]7654.71497288056[/C][/ROW]
[ROW][C]0.715[/C][C]439925.38984954[/C][C]7747.36540398349[/C][/ROW]
[ROW][C]0.72[/C][C]440913.123606992[/C][C]7805.90085193552[/C][/ROW]
[ROW][C]0.725[/C][C]441909.765642304[/C][C]7827.5273897512[/C][/ROW]
[ROW][C]0.73[/C][C]442910.692214315[/C][C]7811.18489324135[/C][/ROW]
[ROW][C]0.735[/C][C]443911.111973619[/C][C]7757.06732870847[/C][/ROW]
[ROW][C]0.74[/C][C]444906.149569667[/C][C]7664.49448660218[/C][/ROW]
[ROW][C]0.745[/C][C]445890.938869441[/C][C]7534.47822156294[/C][/ROW]
[ROW][C]0.75[/C][C]446860.726080799[/C][C]7367.66969630579[/C][/ROW]
[ROW][C]0.755[/C][C]447810.981219717[/C][C]7166.38558216688[/C][/ROW]
[ROW][C]0.76[/C][C]448737.513983824[/C][C]6934.11025356411[/C][/ROW]
[ROW][C]0.765[/C][C]449636.587602077[/C][C]6674.1087008822[/C][/ROW]
[ROW][C]0.77[/C][C]450505.022139695[/C][C]6390.5955866064[/C][/ROW]
[ROW][C]0.775[/C][C]451340.277586134[/C][C]6091.05657623011[/C][/ROW]
[ROW][C]0.78[/C][C]452140.507290272[/C][C]5779.82329670702[/C][/ROW]
[ROW][C]0.785[/C][C]452904.574180855[/C][C]5463.20782870415[/C][/ROW]
[ROW][C]0.79[/C][C]453632.02568955[/C][C]5147.2163434908[/C][/ROW]
[ROW][C]0.795[/C][C]454323.028027429[/C][C]4837.78183445586[/C][/ROW]
[ROW][C]0.8[/C][C]454978.265808899[/C][C]4538.16772982859[/C][/ROW]
[ROW][C]0.805[/C][C]455598.818122861[/C][C]4252.61101120903[/C][/ROW]
[ROW][C]0.81[/C][C]456186.026115396[/C][C]3981.90179182974[/C][/ROW]
[ROW][C]0.815[/C][C]456741.369184625[/C][C]3727.28460584284[/C][/ROW]
[ROW][C]0.82[/C][C]457266.366494018[/C][C]3488.03092487826[/C][/ROW]
[ROW][C]0.825[/C][C]457762.517588006[/C][C]3261.96382538023[/C][/ROW]
[ROW][C]0.83[/C][C]458231.290793304[/C][C]3048.51444004076[/C][/ROW]
[ROW][C]0.835[/C][C]458674.161556275[/C][C]2846.39147463644[/C][/ROW]
[ROW][C]0.84[/C][C]459092.695899628[/C][C]2654.29502232808[/C][/ROW]
[ROW][C]0.845[/C][C]459488.667833718[/C][C]2474.23159676433[/C][/ROW]
[ROW][C]0.85[/C][C]459864.194726166[/C][C]2306.84372860543[/C][/ROW]
[ROW][C]0.855[/C][C]460221.871896929[/C][C]2155.30376933539[/C][/ROW]
[ROW][C]0.86[/C][C]460564.887247872[/C][C]2023.65337420351[/C][/ROW]
[ROW][C]0.865[/C][C]460897.098374702[/C][C]1915.56144050114[/C][/ROW]
[ROW][C]0.87[/C][C]461223.057909729[/C][C]1835.28257866945[/C][/ROW]
[ROW][C]0.875[/C][C]461547.977259974[/C][C]1787.20024703033[/C][/ROW]
[ROW][C]0.88[/C][C]461877.6238815[/C][C]1773.79846754109[/C][/ROW]
[ROW][C]0.885[/C][C]462218.152222357[/C][C]1795.87981354085[/C][/ROW]
[ROW][C]0.89[/C][C]462575.872881933[/C][C]1852.54120635161[/C][/ROW]
[ROW][C]0.895[/C][C]462956.967697581[/C][C]1939.69979987236[/C][/ROW]
[ROW][C]0.9[/C][C]463367.159753602[/C][C]2052.56288662574[/C][/ROW]
[ROW][C]0.905[/C][C]463811.346599284[/C][C]2183.17630193015[/C][/ROW]
[ROW][C]0.91[/C][C]464293.203488899[/C][C]2323.58393514199[/C][/ROW]
[ROW][C]0.915[/C][C]464814.764754698[/C][C]2463.67833631491[/C][/ROW]
[ROW][C]0.92[/C][C]465376.001875051[/C][C]2592.70406566243[/C][/ROW]
[ROW][C]0.925[/C][C]465974.444820401[/C][C]2699.46344356664[/C][/ROW]
[ROW][C]0.93[/C][C]466604.946086341[/C][C]2771.44130175249[/C][/ROW]
[ROW][C]0.935[/C][C]467259.763930313[/C][C]2796.92214478702[/C][/ROW]
[ROW][C]0.94[/C][C]467929.223927542[/C][C]2766.38319165481[/C][/ROW]
[ROW][C]0.945[/C][C]468603.255185237[/C][C]2674.04827102979[/C][/ROW]
[ROW][C]0.95[/C][C]469273.993714793[/C][C]2524.79657103261[/C][/ROW]
[ROW][C]0.955[/C][C]469939.26329388[/C][C]2336.68270782774[/C][/ROW]
[ROW][C]0.96[/C][C]470605.95922206[/C][C]2147.07818718473[/C][/ROW]
[ROW][C]0.965[/C][C]471291.220634207[/C][C]2012.48819415445[/C][/ROW]
[ROW][C]0.97[/C][C]472018.2902196[/C][C]1988.77860042206[/C][/ROW]
[ROW][C]0.975[/C][C]472804.361836379[/C][C]2078.04658538125[/C][/ROW]
[ROW][C]0.98[/C][C]473641.227124935[/C][C]2172.83018738604[/C][/ROW]
[ROW][C]0.985[/C][C]474476.864961504[/C][C]2076.66187716095[/C][/ROW]
[ROW][C]0.99[/C][C]475214.151791825[/C][C]1618.60102034484[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47137&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
0.01341819.9431308692628.19806454355
0.015343056.9160520592481.55233023086
0.02344231.1686728722392.47546034673
0.025345287.2426655712353.01930919127
0.03346234.2561606152369.83487223717
0.035347102.5725112832444.62112211068
0.04347922.0629461862565.52281868046
0.045348714.7340602572709.73009385964
0.05349493.6682638712852.95269288717
0.055350264.1460878372972.80954445646
0.06351025.4479989743054.08841303336
0.065351772.8415427913086.43581161515
0.07352499.5251826593068.46612352706
0.075353198.3676404473003.0176220737
0.08353863.3239585202900.56777121921
0.085354490.4530523972775.77596671895
0.09355078.5049874752645.50656252809
0.095355629.0887259222527.34126848725
0.1356146.4707840832437.59826968268
0.105356637.0876120982389.15842562103
0.11357108.8745012032390.98838477756
0.115357570.5185990112445.92707724836
0.12358030.7337656582550.61099570666
0.125358497.6340631342698.02137123246
0.13358978.2556849652880.45336483481
0.135359478.2492192523086.47156069595
0.14360001.7394613323307.75213126154
0.145360551.3312804273535.0429463749
0.15361128.2285114013761.74166662395
0.155361732.4283722933982.62895669599
0.16362362.9553814334192.66322228268
0.165363018.1044334324389.24243846979
0.17363695.6706496754570.17369910536
0.175364393.1520517974734.8747181925
0.18365107.9186332324882.62961116976
0.185365837.3471878375013.58988169196
0.19366578.9250069465128.7595014297
0.195367330.3274252575229.91352877074
0.2368089.4745960985317.3839579929
0.205368854.5723098325394.69580212024
0.21369624.1405870655462.8692551511
0.215370397.0325089815524.11080554856
0.22371172.4444871345581.48238107711
0.225371949.9180288125636.4600021798
0.23372729.3320897275692.67587444707
0.235373510.8844010175750.69429439473
0.24374295.059817035814.6881807197
0.245375082.5838707045885.47662359985
0.25375874.3604343925964.86691492511
0.255376671.3936825786052.70816459538
0.26377474.6963487786149.65090536685
0.265378285.1883542746255.17951421207
0.27379103.5919567946365.94575037374
0.275379930.3312697426478.69671374948
0.28380765.4449989946590.85022469414
0.285381608.5212771266696.63439596914
0.29382458.6624196136791.8250637206
0.295383314.4853206736870.46803794902
0.3384174.1602446576929.77709868699
0.305385035.4872799286965.52931539445
0.31385896.0061143656977.25531148639
0.315386753.1314922686962.72837031316
0.32387604.3041065366923.37641766421
0.325388447.1450591136861.92537975122
0.33389279.6015514856782.41111544596
0.335390100.0721702636688.53394032868
0.34390907.5019030736588.14989219226
0.345391701.4396413226484.76573446976
0.35392482.0541092896386.40957336899
0.355393250.1075794926298.74022675398
0.36394006.890071496224.63187811197
0.365394754.1196989566170.56291351391
0.37395493.8171996066136.74696228767
0.375396228.1642971356124.82522063966
0.38396959.3563227366134.43851943712
0.385397689.4594586466160.88500945076
0.39398420.2821166446204.1662075002
0.395399153.2684447866256.92399020378
0.4399889.4199230316315.27181608269
0.405400629.2486484466373.22263101073
0.41401372.7634234216427.74824061158
0.415402119.4873453926472.38624279195
0.42402868.5034388016504.15750244253
0.425403618.5231257866519.92519180433
0.43404367.9711173326518.11764853352
0.435405115.0796878916497.56464675951
0.44405857.9852858486456.92705085222
0.445406594.8209870016399.07747957169
0.45407323.799326556324.12366428246
0.455408043.2814157166234.95093610527
0.46408751.8298065236132.65634317793
0.465409448.2441494146021.27824772844
0.47410131.5801407265902.4113880109
0.475410801.153454525778.89438513046
0.48411456.5312090825652.46662539174
0.485412097.5139920255526.12902523474
0.49412724.1115666975400.51346404933
0.495413336.515156795276.79800375239
0.5413935.0687388025157.09967234243
0.505414520.241165825041.89297085194
0.51415092.600307294931.09745158477
0.515415652.7898133364826.23118010399
0.52416201.5086711914727.5349338860
0.525416739.4934563814634.32780194899
0.53417267.5030997764547.57681284137
0.535417786.306068714467.69668011968
0.54418296.6700468924394.12654421099
0.545418799.3544293024326.60393017728
0.55419295.1061573554265.7746220741
0.555419784.6595461834210.98223001004
0.56420268.740756754160.92096642825
0.565420748.077419434118.01932299866
0.57421223.4136254194079.09520445545
0.575421695.5300926274047.34995314994
0.58422165.2688249924020.39162197022
0.585422633.5610701554001.33901533274
0.59423101.4568945143990.23529248567
0.595423570.1542874353988.91252590711
0.6424041.0254199543998.53152008426
0.605424515.6375484294021.24685494932
0.61424995.766089084058.28886564288
0.615425483.3976027684113.55746265042
0.62425980.7208182224187.26498605998
0.625426490.1043748754281.15706042487
0.63427014.0606633734396.92977774244
0.635427555.1959527844535.77624791220
0.64428116.1478774134696.25628718068
0.645428699.5122591274878.25529811113
0.65429307.762096565079.96906858501
0.655429943.162283795298.89046789473
0.66430607.684147125532.58774573253
0.665431302.9241339715776.205465001
0.67432030.0308950586026.35893704622
0.675432789.6445438016277.39086390081
0.68433581.8510723686524.35012257409
0.685434406.1538190936762.28479541134
0.69435261.4626342346985.97443871237
0.695436146.1001363857191.4264077558
0.7437057.8233658237373.65484479862
0.705437993.8583898847529.40674372188
0.71438950.9451237127654.71497288056
0.715439925.389849547747.36540398349
0.72440913.1236069927805.90085193552
0.725441909.7656423047827.5273897512
0.73442910.6922143157811.18489324135
0.735443911.1119736197757.06732870847
0.74444906.1495696677664.49448660218
0.745445890.9388694417534.47822156294
0.75446860.7260807997367.66969630579
0.755447810.9812197177166.38558216688
0.76448737.5139838246934.11025356411
0.765449636.5876020776674.1087008822
0.77450505.0221396956390.5955866064
0.775451340.2775861346091.05657623011
0.78452140.5072902725779.82329670702
0.785452904.5741808555463.20782870415
0.79453632.025689555147.2163434908
0.795454323.0280274294837.78183445586
0.8454978.2658088994538.16772982859
0.805455598.8181228614252.61101120903
0.81456186.0261153963981.90179182974
0.815456741.3691846253727.28460584284
0.82457266.3664940183488.03092487826
0.825457762.5175880063261.96382538023
0.83458231.2907933043048.51444004076
0.835458674.1615562752846.39147463644
0.84459092.6958996282654.29502232808
0.845459488.6678337182474.23159676433
0.85459864.1947261662306.84372860543
0.855460221.8718969292155.30376933539
0.86460564.8872478722023.65337420351
0.865460897.0983747021915.56144050114
0.87461223.0579097291835.28257866945
0.875461547.9772599741787.20024703033
0.88461877.62388151773.79846754109
0.885462218.1522223571795.87981354085
0.89462575.8728819331852.54120635161
0.895462956.9676975811939.69979987236
0.9463367.1597536022052.56288662574
0.905463811.3465992842183.17630193015
0.91464293.2034888992323.58393514199
0.915464814.7647546982463.67833631491
0.92465376.0018750512592.70406566243
0.925465974.4448204012699.46344356664
0.93466604.9460863412771.44130175249
0.935467259.7639303132796.92214478702
0.94467929.2239275422766.38319165481
0.945468603.2551852372674.04827102979
0.95469273.9937147932524.79657103261
0.955469939.263293882336.68270782774
0.96470605.959222062147.07818718473
0.965471291.2206342072012.48819415445
0.97472018.29021961988.77860042206
0.975472804.3618363792078.04658538125
0.98473641.2271249352172.83018738604
0.985474476.8649615042076.66187716095
0.99475214.1517918251618.60102034484


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')