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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 computationTue, 20 Oct 2009 13:45:22 -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/20/t1256068112qa1gakizwrgnhrd.htm/, Retrieved Thu, 02 May 2024 19:03:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49090, Retrieved Thu, 02 May 2024 19:03:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSHWWS3VR2
Estimated Impact114

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]
- RMP       [Univariate Explorative Data Analysis] [] [2009-10-20 17:16:13] [09f192433169b2c787c4a71fde86e883]
- RMPD          [Harrell-Davis Quantiles] [] [2009-10-20 19:45:22] [71596e6a53ccce532e52aaf6113616ef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
289.8
292.9
291.2
291.8
289.8
292.5
290.3
297.5
307.5
304.7
304.6
310.7
310.7
315.7
314.7
312.2
312.8
314.3
319.7
319.9
329.5
326.9
329.7
335.7
337.2
339.7
338.3
339.2
342.5
342.2
338.3
339
345.9
351.5
352.8
360.4
371.5
376.3
374.2
374.9
369.8
372
380.7
381.2
376.9
381.9
383.6
387.5
392.9
400.1
391.1
390.4
394.4
397.1
404.2
403.7
395.1
400.2
397.4
404.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49090&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49090&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49090&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01289.8517861688270.166480635160015
0.015289.9059513920160.287289299439086
0.02289.9828685395360.422607373209081
0.025290.0841540116740.565985595452151
0.03290.2105991033570.714891338922874
0.035290.3625102462580.869596257194094
0.04290.540078636841.03381229836547
0.045290.7437048760611.21345769091716
0.05290.9742282163391.41521016988071
0.055291.2330354919831.64528949190103
0.06291.5220472279051.90830915710958
0.065291.8435955400652.20640385829688
0.07292.2002196983662.53840232889555
0.075292.5944110396182.90103047899599
0.08293.0283401683463.28779318668004
0.085293.5035970724543.69033890423305
0.09294.0209698960324.09889570794472
0.095294.5802815701694.50252062731497
0.1295.1802961418864.89063824707059
0.105295.8186992115075.25285394599261
0.11296.4921500357935.57985365685578
0.115297.1963970926455.86419149923088
0.12297.9264445907546.0998978983369
0.125298.6767547283276.28341617993035
0.13299.4414694698496.41299081077614
0.135300.2146360746446.48947509541947
0.14300.9904223103316.51480821987107
0.145301.7633098748156.49374607267438
0.15302.5282576579796.43090301544472
0.155303.2808297369506.33216622198014
0.16304.0172861030776.20455508948753
0.165304.7346368225726.0549941424327
0.17305.4306624782295.89016553119952
0.175306.1039052523275.71666669213967
0.18306.7536358915695.54125228664579
0.185307.3798021034425.36906894636515
0.19307.9829637705055.20560439739783
0.195308.564219856765.0559240831133
0.2309.1251311452614.92346012021969
0.205309.6676421057294.81196148898523
0.21310.194004343944.72390391351414
0.215310.7067033059444.66260914134937
0.22311.2083892491524.6291585430929
0.225311.7018129749554.62492894929412
0.23312.189766449324.64963880900634
0.235312.6750282089754.70335138748966
0.24313.1603133411434.78520922991116
0.245313.6482278081684.89443069273949
0.25314.1412269370545.02850657695102
0.255314.6415779811905.18517917114684
0.26315.1513267640805.36158802771985
0.265315.6722685137895.55503769626387
0.27316.2059230781145.76114777986366
0.275316.7535147650815.97762503668135
0.28317.3159570764296.20008890892039
0.285317.8938425922096.42503545464836
0.29318.4874382242786.64804841917819
0.295319.0966859893156.86626584245992
0.3319.7212093633457.07601878514376
0.305320.360325175897.27349514270652
0.31321.0130608891527.45587067510526
0.315321.6781769923567.62028399664232
0.32322.3541941294287.76397606458917
0.325323.0394244743537.8845196232597
0.33323.732006777197.98106449936095
0.335324.4299444277038.05109023052212
0.34325.1311458250758.09460064405648
0.345325.8334663022148.1115165069442
0.35326.5347508318838.10039209169742
0.355327.2328767387708.06343898986135
0.36327.9257956552718.00085741937784
0.365328.6115739877397.91477792441067
0.37329.2884312020597.80619809549036
0.375329.9547752907647.67826424620013
0.38330.6092348462597.5333414525739
0.385331.2506872341017.37485051439348
0.39331.8782824348407.20564461120216
0.395332.4914622009247.02957977724909
0.4333.0899742550816.85030985779072
0.405333.6738813371516.67218237464504
0.41334.2435649862956.49853894424671
0.415334.7997240238636.33449033780638
0.42335.3433677780036.18337783170728
0.425335.8758041635846.04940833085612
0.43336.3986227994865.93690354355279
0.435336.9136734092215.84910150276929
0.44337.4230398098835.78974459075338
0.445337.9290098483085.76125399172628
0.45338.4340416921685.76699865375199
0.455338.9407269276135.80807662853451
0.46339.4517509545265.8862690589687
0.465339.9698512058756.00057999087283
0.47340.4977737497216.15184598842251
0.475341.0382288616326.3384512665572
0.48341.5938461821056.55822917067838
0.485342.1671300981846.80938819779183
0.49342.7604160106957.08886477663178
0.495343.375828167787.39286454143877
0.5344.0152397604637.71782260301136
0.505344.6802359853668.05946327250598
0.51345.3720807810618.41351632568346
0.515346.0916879354148.77498376754161
0.52346.8395972388789.13935098072384
0.525347.6159563199749.50160177084294
0.53348.4205087416359.85573417304177
0.535349.25258885824110.1975835818374
0.54350.11112383168210.5220220152831
0.545350.99464308005210.8240556416839
0.55351.90129528535311.0990913572184
0.555352.82887291910311.3433621987832
0.56353.77484406058111.5522834319411
0.565354.7363910868511.7232384755056
0.57355.71045561327411.8532584545984
0.575356.69378886557911.9398112193509
0.58357.68300647831111.9825557251461
0.585358.67464654859311.9794196328063
0.59359.66522963718411.9323629448637
0.595360.65131930913211.8405037429329
0.6361.62958175053711.7062688146576
0.605362.59684299133411.5318843432236
0.61363.55014230928411.3208446422209
0.615364.48678048806911.0754486198835
0.62365.40436174999510.8006071877538
0.625366.30082837640510.5008932791611
0.63367.17448725867210.1807068619435
0.635368.0240278798839.84542143720476
0.64368.8485315003529.4999256500481
0.645369.6474715963429.14950228972868
0.65370.4207058679778.7986689418661
0.655371.1684603767848.45221957915816
0.66371.8913065846418.11512897625151
0.665372.5901322350617.79071508676293
0.67373.266107138367.48284879285121
0.675373.920644991147.19461435645903
0.68374.5553623777866.9278501813682
0.685375.1720360708246.68502656891964
0.69375.7725596745066.46680407259271
0.695376.358900551126.2742263455334
0.7376.9330578430086.10694449323933
0.705377.4970222671825.96506645867096
0.71378.0527382253975.84677741067493
0.715378.602068651295.75134624833974
0.72379.1467629163415.67664676705986
0.725379.6884280436415.62061881624018
0.73380.2285034350545.5811762442391
0.735380.7682393018995.55536173979369
0.74381.3086789966965.5405258440028
0.745381.8506454655785.53450263313632
0.75382.3947320671765.53385623657115
0.755382.9412980222185.53565003286712
0.76383.4904687570625.53804997321936
0.765384.0421413734335.53735637911408
0.77384.5959954081835.53175407892653
0.775385.1515089370415.51829454150763
0.78385.7079799258445.49550065380062
0.785386.2645525472875.46179565360023
0.79386.8202479711635.4153918044493
0.795387.3739989157965.35570498987113
0.8387.9246870350595.28235351659077
0.805388.4711820276765.19540212718577
0.81389.0123812114045.09520985485713
0.815389.5472482203134.98296505206624
0.82390.0748494708034.85967948353049
0.825390.5943871084674.7273440645469
0.83391.1052272944924.58763617668753
0.835391.6069229116174.44293864688538
0.84392.0992300534254.29516291943466
0.845392.5821179873584.14717141426252
0.85393.0557726247124.00065971277432
0.855393.520593855273.85797260403111
0.86393.9771873680733.72093564269912
0.865394.4263517335273.59121588493647
0.87394.8690615115593.47007962524197
0.875395.306446922673.35847594615149
0.88395.7397701320273.2572198743301
0.885396.1703974377433.16639986932039
0.89396.5997656606353.08641289927145
0.895397.0293399181743.01677778025606
0.9397.4605589454422.95728926863728
0.905397.8947635291632.90693199819025
0.91398.3331038759752.86517209132196
0.915398.776423316562.82986624203502
0.92399.2251190624722.79930557801939
0.925399.6789859581422.77020675447973
0.93400.1370560356752.73816943238733
0.935400.5974542524392.69740756890821
0.94401.0572973451712.64103568947469
0.945401.5126658161912.56094840890827
0.95401.9586759028852.44972396947637
0.955402.3896667311172.30114340462050
0.96402.7994973224892.11225351284218
0.965403.1819217081691.88485825027081
0.97403.5309856770621.62682146080587
0.975403.8413776708721.35250851317830
0.98404.108682706571.08264804991731
0.985404.329540775940.842448163677522
0.99404.5017938069970.657343108550574

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 289.851786168827 & 0.166480635160015 \tabularnewline
0.015 & 289.905951392016 & 0.287289299439086 \tabularnewline
0.02 & 289.982868539536 & 0.422607373209081 \tabularnewline
0.025 & 290.084154011674 & 0.565985595452151 \tabularnewline
0.03 & 290.210599103357 & 0.714891338922874 \tabularnewline
0.035 & 290.362510246258 & 0.869596257194094 \tabularnewline
0.04 & 290.54007863684 & 1.03381229836547 \tabularnewline
0.045 & 290.743704876061 & 1.21345769091716 \tabularnewline
0.05 & 290.974228216339 & 1.41521016988071 \tabularnewline
0.055 & 291.233035491983 & 1.64528949190103 \tabularnewline
0.06 & 291.522047227905 & 1.90830915710958 \tabularnewline
0.065 & 291.843595540065 & 2.20640385829688 \tabularnewline
0.07 & 292.200219698366 & 2.53840232889555 \tabularnewline
0.075 & 292.594411039618 & 2.90103047899599 \tabularnewline
0.08 & 293.028340168346 & 3.28779318668004 \tabularnewline
0.085 & 293.503597072454 & 3.69033890423305 \tabularnewline
0.09 & 294.020969896032 & 4.09889570794472 \tabularnewline
0.095 & 294.580281570169 & 4.50252062731497 \tabularnewline
0.1 & 295.180296141886 & 4.89063824707059 \tabularnewline
0.105 & 295.818699211507 & 5.25285394599261 \tabularnewline
0.11 & 296.492150035793 & 5.57985365685578 \tabularnewline
0.115 & 297.196397092645 & 5.86419149923088 \tabularnewline
0.12 & 297.926444590754 & 6.0998978983369 \tabularnewline
0.125 & 298.676754728327 & 6.28341617993035 \tabularnewline
0.13 & 299.441469469849 & 6.41299081077614 \tabularnewline
0.135 & 300.214636074644 & 6.48947509541947 \tabularnewline
0.14 & 300.990422310331 & 6.51480821987107 \tabularnewline
0.145 & 301.763309874815 & 6.49374607267438 \tabularnewline
0.15 & 302.528257657979 & 6.43090301544472 \tabularnewline
0.155 & 303.280829736950 & 6.33216622198014 \tabularnewline
0.16 & 304.017286103077 & 6.20455508948753 \tabularnewline
0.165 & 304.734636822572 & 6.0549941424327 \tabularnewline
0.17 & 305.430662478229 & 5.89016553119952 \tabularnewline
0.175 & 306.103905252327 & 5.71666669213967 \tabularnewline
0.18 & 306.753635891569 & 5.54125228664579 \tabularnewline
0.185 & 307.379802103442 & 5.36906894636515 \tabularnewline
0.19 & 307.982963770505 & 5.20560439739783 \tabularnewline
0.195 & 308.56421985676 & 5.0559240831133 \tabularnewline
0.2 & 309.125131145261 & 4.92346012021969 \tabularnewline
0.205 & 309.667642105729 & 4.81196148898523 \tabularnewline
0.21 & 310.19400434394 & 4.72390391351414 \tabularnewline
0.215 & 310.706703305944 & 4.66260914134937 \tabularnewline
0.22 & 311.208389249152 & 4.6291585430929 \tabularnewline
0.225 & 311.701812974955 & 4.62492894929412 \tabularnewline
0.23 & 312.18976644932 & 4.64963880900634 \tabularnewline
0.235 & 312.675028208975 & 4.70335138748966 \tabularnewline
0.24 & 313.160313341143 & 4.78520922991116 \tabularnewline
0.245 & 313.648227808168 & 4.89443069273949 \tabularnewline
0.25 & 314.141226937054 & 5.02850657695102 \tabularnewline
0.255 & 314.641577981190 & 5.18517917114684 \tabularnewline
0.26 & 315.151326764080 & 5.36158802771985 \tabularnewline
0.265 & 315.672268513789 & 5.55503769626387 \tabularnewline
0.27 & 316.205923078114 & 5.76114777986366 \tabularnewline
0.275 & 316.753514765081 & 5.97762503668135 \tabularnewline
0.28 & 317.315957076429 & 6.20008890892039 \tabularnewline
0.285 & 317.893842592209 & 6.42503545464836 \tabularnewline
0.29 & 318.487438224278 & 6.64804841917819 \tabularnewline
0.295 & 319.096685989315 & 6.86626584245992 \tabularnewline
0.3 & 319.721209363345 & 7.07601878514376 \tabularnewline
0.305 & 320.36032517589 & 7.27349514270652 \tabularnewline
0.31 & 321.013060889152 & 7.45587067510526 \tabularnewline
0.315 & 321.678176992356 & 7.62028399664232 \tabularnewline
0.32 & 322.354194129428 & 7.76397606458917 \tabularnewline
0.325 & 323.039424474353 & 7.8845196232597 \tabularnewline
0.33 & 323.73200677719 & 7.98106449936095 \tabularnewline
0.335 & 324.429944427703 & 8.05109023052212 \tabularnewline
0.34 & 325.131145825075 & 8.09460064405648 \tabularnewline
0.345 & 325.833466302214 & 8.1115165069442 \tabularnewline
0.35 & 326.534750831883 & 8.10039209169742 \tabularnewline
0.355 & 327.232876738770 & 8.06343898986135 \tabularnewline
0.36 & 327.925795655271 & 8.00085741937784 \tabularnewline
0.365 & 328.611573987739 & 7.91477792441067 \tabularnewline
0.37 & 329.288431202059 & 7.80619809549036 \tabularnewline
0.375 & 329.954775290764 & 7.67826424620013 \tabularnewline
0.38 & 330.609234846259 & 7.5333414525739 \tabularnewline
0.385 & 331.250687234101 & 7.37485051439348 \tabularnewline
0.39 & 331.878282434840 & 7.20564461120216 \tabularnewline
0.395 & 332.491462200924 & 7.02957977724909 \tabularnewline
0.4 & 333.089974255081 & 6.85030985779072 \tabularnewline
0.405 & 333.673881337151 & 6.67218237464504 \tabularnewline
0.41 & 334.243564986295 & 6.49853894424671 \tabularnewline
0.415 & 334.799724023863 & 6.33449033780638 \tabularnewline
0.42 & 335.343367778003 & 6.18337783170728 \tabularnewline
0.425 & 335.875804163584 & 6.04940833085612 \tabularnewline
0.43 & 336.398622799486 & 5.93690354355279 \tabularnewline
0.435 & 336.913673409221 & 5.84910150276929 \tabularnewline
0.44 & 337.423039809883 & 5.78974459075338 \tabularnewline
0.445 & 337.929009848308 & 5.76125399172628 \tabularnewline
0.45 & 338.434041692168 & 5.76699865375199 \tabularnewline
0.455 & 338.940726927613 & 5.80807662853451 \tabularnewline
0.46 & 339.451750954526 & 5.8862690589687 \tabularnewline
0.465 & 339.969851205875 & 6.00057999087283 \tabularnewline
0.47 & 340.497773749721 & 6.15184598842251 \tabularnewline
0.475 & 341.038228861632 & 6.3384512665572 \tabularnewline
0.48 & 341.593846182105 & 6.55822917067838 \tabularnewline
0.485 & 342.167130098184 & 6.80938819779183 \tabularnewline
0.49 & 342.760416010695 & 7.08886477663178 \tabularnewline
0.495 & 343.37582816778 & 7.39286454143877 \tabularnewline
0.5 & 344.015239760463 & 7.71782260301136 \tabularnewline
0.505 & 344.680235985366 & 8.05946327250598 \tabularnewline
0.51 & 345.372080781061 & 8.41351632568346 \tabularnewline
0.515 & 346.091687935414 & 8.77498376754161 \tabularnewline
0.52 & 346.839597238878 & 9.13935098072384 \tabularnewline
0.525 & 347.615956319974 & 9.50160177084294 \tabularnewline
0.53 & 348.420508741635 & 9.85573417304177 \tabularnewline
0.535 & 349.252588858241 & 10.1975835818374 \tabularnewline
0.54 & 350.111123831682 & 10.5220220152831 \tabularnewline
0.545 & 350.994643080052 & 10.8240556416839 \tabularnewline
0.55 & 351.901295285353 & 11.0990913572184 \tabularnewline
0.555 & 352.828872919103 & 11.3433621987832 \tabularnewline
0.56 & 353.774844060581 & 11.5522834319411 \tabularnewline
0.565 & 354.73639108685 & 11.7232384755056 \tabularnewline
0.57 & 355.710455613274 & 11.8532584545984 \tabularnewline
0.575 & 356.693788865579 & 11.9398112193509 \tabularnewline
0.58 & 357.683006478311 & 11.9825557251461 \tabularnewline
0.585 & 358.674646548593 & 11.9794196328063 \tabularnewline
0.59 & 359.665229637184 & 11.9323629448637 \tabularnewline
0.595 & 360.651319309132 & 11.8405037429329 \tabularnewline
0.6 & 361.629581750537 & 11.7062688146576 \tabularnewline
0.605 & 362.596842991334 & 11.5318843432236 \tabularnewline
0.61 & 363.550142309284 & 11.3208446422209 \tabularnewline
0.615 & 364.486780488069 & 11.0754486198835 \tabularnewline
0.62 & 365.404361749995 & 10.8006071877538 \tabularnewline
0.625 & 366.300828376405 & 10.5008932791611 \tabularnewline
0.63 & 367.174487258672 & 10.1807068619435 \tabularnewline
0.635 & 368.024027879883 & 9.84542143720476 \tabularnewline
0.64 & 368.848531500352 & 9.4999256500481 \tabularnewline
0.645 & 369.647471596342 & 9.14950228972868 \tabularnewline
0.65 & 370.420705867977 & 8.7986689418661 \tabularnewline
0.655 & 371.168460376784 & 8.45221957915816 \tabularnewline
0.66 & 371.891306584641 & 8.11512897625151 \tabularnewline
0.665 & 372.590132235061 & 7.79071508676293 \tabularnewline
0.67 & 373.26610713836 & 7.48284879285121 \tabularnewline
0.675 & 373.92064499114 & 7.19461435645903 \tabularnewline
0.68 & 374.555362377786 & 6.9278501813682 \tabularnewline
0.685 & 375.172036070824 & 6.68502656891964 \tabularnewline
0.69 & 375.772559674506 & 6.46680407259271 \tabularnewline
0.695 & 376.35890055112 & 6.2742263455334 \tabularnewline
0.7 & 376.933057843008 & 6.10694449323933 \tabularnewline
0.705 & 377.497022267182 & 5.96506645867096 \tabularnewline
0.71 & 378.052738225397 & 5.84677741067493 \tabularnewline
0.715 & 378.60206865129 & 5.75134624833974 \tabularnewline
0.72 & 379.146762916341 & 5.67664676705986 \tabularnewline
0.725 & 379.688428043641 & 5.62061881624018 \tabularnewline
0.73 & 380.228503435054 & 5.5811762442391 \tabularnewline
0.735 & 380.768239301899 & 5.55536173979369 \tabularnewline
0.74 & 381.308678996696 & 5.5405258440028 \tabularnewline
0.745 & 381.850645465578 & 5.53450263313632 \tabularnewline
0.75 & 382.394732067176 & 5.53385623657115 \tabularnewline
0.755 & 382.941298022218 & 5.53565003286712 \tabularnewline
0.76 & 383.490468757062 & 5.53804997321936 \tabularnewline
0.765 & 384.042141373433 & 5.53735637911408 \tabularnewline
0.77 & 384.595995408183 & 5.53175407892653 \tabularnewline
0.775 & 385.151508937041 & 5.51829454150763 \tabularnewline
0.78 & 385.707979925844 & 5.49550065380062 \tabularnewline
0.785 & 386.264552547287 & 5.46179565360023 \tabularnewline
0.79 & 386.820247971163 & 5.4153918044493 \tabularnewline
0.795 & 387.373998915796 & 5.35570498987113 \tabularnewline
0.8 & 387.924687035059 & 5.28235351659077 \tabularnewline
0.805 & 388.471182027676 & 5.19540212718577 \tabularnewline
0.81 & 389.012381211404 & 5.09520985485713 \tabularnewline
0.815 & 389.547248220313 & 4.98296505206624 \tabularnewline
0.82 & 390.074849470803 & 4.85967948353049 \tabularnewline
0.825 & 390.594387108467 & 4.7273440645469 \tabularnewline
0.83 & 391.105227294492 & 4.58763617668753 \tabularnewline
0.835 & 391.606922911617 & 4.44293864688538 \tabularnewline
0.84 & 392.099230053425 & 4.29516291943466 \tabularnewline
0.845 & 392.582117987358 & 4.14717141426252 \tabularnewline
0.85 & 393.055772624712 & 4.00065971277432 \tabularnewline
0.855 & 393.52059385527 & 3.85797260403111 \tabularnewline
0.86 & 393.977187368073 & 3.72093564269912 \tabularnewline
0.865 & 394.426351733527 & 3.59121588493647 \tabularnewline
0.87 & 394.869061511559 & 3.47007962524197 \tabularnewline
0.875 & 395.30644692267 & 3.35847594615149 \tabularnewline
0.88 & 395.739770132027 & 3.2572198743301 \tabularnewline
0.885 & 396.170397437743 & 3.16639986932039 \tabularnewline
0.89 & 396.599765660635 & 3.08641289927145 \tabularnewline
0.895 & 397.029339918174 & 3.01677778025606 \tabularnewline
0.9 & 397.460558945442 & 2.95728926863728 \tabularnewline
0.905 & 397.894763529163 & 2.90693199819025 \tabularnewline
0.91 & 398.333103875975 & 2.86517209132196 \tabularnewline
0.915 & 398.77642331656 & 2.82986624203502 \tabularnewline
0.92 & 399.225119062472 & 2.79930557801939 \tabularnewline
0.925 & 399.678985958142 & 2.77020675447973 \tabularnewline
0.93 & 400.137056035675 & 2.73816943238733 \tabularnewline
0.935 & 400.597454252439 & 2.69740756890821 \tabularnewline
0.94 & 401.057297345171 & 2.64103568947469 \tabularnewline
0.945 & 401.512665816191 & 2.56094840890827 \tabularnewline
0.95 & 401.958675902885 & 2.44972396947637 \tabularnewline
0.955 & 402.389666731117 & 2.30114340462050 \tabularnewline
0.96 & 402.799497322489 & 2.11225351284218 \tabularnewline
0.965 & 403.181921708169 & 1.88485825027081 \tabularnewline
0.97 & 403.530985677062 & 1.62682146080587 \tabularnewline
0.975 & 403.841377670872 & 1.35250851317830 \tabularnewline
0.98 & 404.10868270657 & 1.08264804991731 \tabularnewline
0.985 & 404.32954077594 & 0.842448163677522 \tabularnewline
0.99 & 404.501793806997 & 0.657343108550574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49090&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]289.851786168827[/C][C]0.166480635160015[/C][/ROW]
[ROW][C]0.015[/C][C]289.905951392016[/C][C]0.287289299439086[/C][/ROW]
[ROW][C]0.02[/C][C]289.982868539536[/C][C]0.422607373209081[/C][/ROW]
[ROW][C]0.025[/C][C]290.084154011674[/C][C]0.565985595452151[/C][/ROW]
[ROW][C]0.03[/C][C]290.210599103357[/C][C]0.714891338922874[/C][/ROW]
[ROW][C]0.035[/C][C]290.362510246258[/C][C]0.869596257194094[/C][/ROW]
[ROW][C]0.04[/C][C]290.54007863684[/C][C]1.03381229836547[/C][/ROW]
[ROW][C]0.045[/C][C]290.743704876061[/C][C]1.21345769091716[/C][/ROW]
[ROW][C]0.05[/C][C]290.974228216339[/C][C]1.41521016988071[/C][/ROW]
[ROW][C]0.055[/C][C]291.233035491983[/C][C]1.64528949190103[/C][/ROW]
[ROW][C]0.06[/C][C]291.522047227905[/C][C]1.90830915710958[/C][/ROW]
[ROW][C]0.065[/C][C]291.843595540065[/C][C]2.20640385829688[/C][/ROW]
[ROW][C]0.07[/C][C]292.200219698366[/C][C]2.53840232889555[/C][/ROW]
[ROW][C]0.075[/C][C]292.594411039618[/C][C]2.90103047899599[/C][/ROW]
[ROW][C]0.08[/C][C]293.028340168346[/C][C]3.28779318668004[/C][/ROW]
[ROW][C]0.085[/C][C]293.503597072454[/C][C]3.69033890423305[/C][/ROW]
[ROW][C]0.09[/C][C]294.020969896032[/C][C]4.09889570794472[/C][/ROW]
[ROW][C]0.095[/C][C]294.580281570169[/C][C]4.50252062731497[/C][/ROW]
[ROW][C]0.1[/C][C]295.180296141886[/C][C]4.89063824707059[/C][/ROW]
[ROW][C]0.105[/C][C]295.818699211507[/C][C]5.25285394599261[/C][/ROW]
[ROW][C]0.11[/C][C]296.492150035793[/C][C]5.57985365685578[/C][/ROW]
[ROW][C]0.115[/C][C]297.196397092645[/C][C]5.86419149923088[/C][/ROW]
[ROW][C]0.12[/C][C]297.926444590754[/C][C]6.0998978983369[/C][/ROW]
[ROW][C]0.125[/C][C]298.676754728327[/C][C]6.28341617993035[/C][/ROW]
[ROW][C]0.13[/C][C]299.441469469849[/C][C]6.41299081077614[/C][/ROW]
[ROW][C]0.135[/C][C]300.214636074644[/C][C]6.48947509541947[/C][/ROW]
[ROW][C]0.14[/C][C]300.990422310331[/C][C]6.51480821987107[/C][/ROW]
[ROW][C]0.145[/C][C]301.763309874815[/C][C]6.49374607267438[/C][/ROW]
[ROW][C]0.15[/C][C]302.528257657979[/C][C]6.43090301544472[/C][/ROW]
[ROW][C]0.155[/C][C]303.280829736950[/C][C]6.33216622198014[/C][/ROW]
[ROW][C]0.16[/C][C]304.017286103077[/C][C]6.20455508948753[/C][/ROW]
[ROW][C]0.165[/C][C]304.734636822572[/C][C]6.0549941424327[/C][/ROW]
[ROW][C]0.17[/C][C]305.430662478229[/C][C]5.89016553119952[/C][/ROW]
[ROW][C]0.175[/C][C]306.103905252327[/C][C]5.71666669213967[/C][/ROW]
[ROW][C]0.18[/C][C]306.753635891569[/C][C]5.54125228664579[/C][/ROW]
[ROW][C]0.185[/C][C]307.379802103442[/C][C]5.36906894636515[/C][/ROW]
[ROW][C]0.19[/C][C]307.982963770505[/C][C]5.20560439739783[/C][/ROW]
[ROW][C]0.195[/C][C]308.56421985676[/C][C]5.0559240831133[/C][/ROW]
[ROW][C]0.2[/C][C]309.125131145261[/C][C]4.92346012021969[/C][/ROW]
[ROW][C]0.205[/C][C]309.667642105729[/C][C]4.81196148898523[/C][/ROW]
[ROW][C]0.21[/C][C]310.19400434394[/C][C]4.72390391351414[/C][/ROW]
[ROW][C]0.215[/C][C]310.706703305944[/C][C]4.66260914134937[/C][/ROW]
[ROW][C]0.22[/C][C]311.208389249152[/C][C]4.6291585430929[/C][/ROW]
[ROW][C]0.225[/C][C]311.701812974955[/C][C]4.62492894929412[/C][/ROW]
[ROW][C]0.23[/C][C]312.18976644932[/C][C]4.64963880900634[/C][/ROW]
[ROW][C]0.235[/C][C]312.675028208975[/C][C]4.70335138748966[/C][/ROW]
[ROW][C]0.24[/C][C]313.160313341143[/C][C]4.78520922991116[/C][/ROW]
[ROW][C]0.245[/C][C]313.648227808168[/C][C]4.89443069273949[/C][/ROW]
[ROW][C]0.25[/C][C]314.141226937054[/C][C]5.02850657695102[/C][/ROW]
[ROW][C]0.255[/C][C]314.641577981190[/C][C]5.18517917114684[/C][/ROW]
[ROW][C]0.26[/C][C]315.151326764080[/C][C]5.36158802771985[/C][/ROW]
[ROW][C]0.265[/C][C]315.672268513789[/C][C]5.55503769626387[/C][/ROW]
[ROW][C]0.27[/C][C]316.205923078114[/C][C]5.76114777986366[/C][/ROW]
[ROW][C]0.275[/C][C]316.753514765081[/C][C]5.97762503668135[/C][/ROW]
[ROW][C]0.28[/C][C]317.315957076429[/C][C]6.20008890892039[/C][/ROW]
[ROW][C]0.285[/C][C]317.893842592209[/C][C]6.42503545464836[/C][/ROW]
[ROW][C]0.29[/C][C]318.487438224278[/C][C]6.64804841917819[/C][/ROW]
[ROW][C]0.295[/C][C]319.096685989315[/C][C]6.86626584245992[/C][/ROW]
[ROW][C]0.3[/C][C]319.721209363345[/C][C]7.07601878514376[/C][/ROW]
[ROW][C]0.305[/C][C]320.36032517589[/C][C]7.27349514270652[/C][/ROW]
[ROW][C]0.31[/C][C]321.013060889152[/C][C]7.45587067510526[/C][/ROW]
[ROW][C]0.315[/C][C]321.678176992356[/C][C]7.62028399664232[/C][/ROW]
[ROW][C]0.32[/C][C]322.354194129428[/C][C]7.76397606458917[/C][/ROW]
[ROW][C]0.325[/C][C]323.039424474353[/C][C]7.8845196232597[/C][/ROW]
[ROW][C]0.33[/C][C]323.73200677719[/C][C]7.98106449936095[/C][/ROW]
[ROW][C]0.335[/C][C]324.429944427703[/C][C]8.05109023052212[/C][/ROW]
[ROW][C]0.34[/C][C]325.131145825075[/C][C]8.09460064405648[/C][/ROW]
[ROW][C]0.345[/C][C]325.833466302214[/C][C]8.1115165069442[/C][/ROW]
[ROW][C]0.35[/C][C]326.534750831883[/C][C]8.10039209169742[/C][/ROW]
[ROW][C]0.355[/C][C]327.232876738770[/C][C]8.06343898986135[/C][/ROW]
[ROW][C]0.36[/C][C]327.925795655271[/C][C]8.00085741937784[/C][/ROW]
[ROW][C]0.365[/C][C]328.611573987739[/C][C]7.91477792441067[/C][/ROW]
[ROW][C]0.37[/C][C]329.288431202059[/C][C]7.80619809549036[/C][/ROW]
[ROW][C]0.375[/C][C]329.954775290764[/C][C]7.67826424620013[/C][/ROW]
[ROW][C]0.38[/C][C]330.609234846259[/C][C]7.5333414525739[/C][/ROW]
[ROW][C]0.385[/C][C]331.250687234101[/C][C]7.37485051439348[/C][/ROW]
[ROW][C]0.39[/C][C]331.878282434840[/C][C]7.20564461120216[/C][/ROW]
[ROW][C]0.395[/C][C]332.491462200924[/C][C]7.02957977724909[/C][/ROW]
[ROW][C]0.4[/C][C]333.089974255081[/C][C]6.85030985779072[/C][/ROW]
[ROW][C]0.405[/C][C]333.673881337151[/C][C]6.67218237464504[/C][/ROW]
[ROW][C]0.41[/C][C]334.243564986295[/C][C]6.49853894424671[/C][/ROW]
[ROW][C]0.415[/C][C]334.799724023863[/C][C]6.33449033780638[/C][/ROW]
[ROW][C]0.42[/C][C]335.343367778003[/C][C]6.18337783170728[/C][/ROW]
[ROW][C]0.425[/C][C]335.875804163584[/C][C]6.04940833085612[/C][/ROW]
[ROW][C]0.43[/C][C]336.398622799486[/C][C]5.93690354355279[/C][/ROW]
[ROW][C]0.435[/C][C]336.913673409221[/C][C]5.84910150276929[/C][/ROW]
[ROW][C]0.44[/C][C]337.423039809883[/C][C]5.78974459075338[/C][/ROW]
[ROW][C]0.445[/C][C]337.929009848308[/C][C]5.76125399172628[/C][/ROW]
[ROW][C]0.45[/C][C]338.434041692168[/C][C]5.76699865375199[/C][/ROW]
[ROW][C]0.455[/C][C]338.940726927613[/C][C]5.80807662853451[/C][/ROW]
[ROW][C]0.46[/C][C]339.451750954526[/C][C]5.8862690589687[/C][/ROW]
[ROW][C]0.465[/C][C]339.969851205875[/C][C]6.00057999087283[/C][/ROW]
[ROW][C]0.47[/C][C]340.497773749721[/C][C]6.15184598842251[/C][/ROW]
[ROW][C]0.475[/C][C]341.038228861632[/C][C]6.3384512665572[/C][/ROW]
[ROW][C]0.48[/C][C]341.593846182105[/C][C]6.55822917067838[/C][/ROW]
[ROW][C]0.485[/C][C]342.167130098184[/C][C]6.80938819779183[/C][/ROW]
[ROW][C]0.49[/C][C]342.760416010695[/C][C]7.08886477663178[/C][/ROW]
[ROW][C]0.495[/C][C]343.37582816778[/C][C]7.39286454143877[/C][/ROW]
[ROW][C]0.5[/C][C]344.015239760463[/C][C]7.71782260301136[/C][/ROW]
[ROW][C]0.505[/C][C]344.680235985366[/C][C]8.05946327250598[/C][/ROW]
[ROW][C]0.51[/C][C]345.372080781061[/C][C]8.41351632568346[/C][/ROW]
[ROW][C]0.515[/C][C]346.091687935414[/C][C]8.77498376754161[/C][/ROW]
[ROW][C]0.52[/C][C]346.839597238878[/C][C]9.13935098072384[/C][/ROW]
[ROW][C]0.525[/C][C]347.615956319974[/C][C]9.50160177084294[/C][/ROW]
[ROW][C]0.53[/C][C]348.420508741635[/C][C]9.85573417304177[/C][/ROW]
[ROW][C]0.535[/C][C]349.252588858241[/C][C]10.1975835818374[/C][/ROW]
[ROW][C]0.54[/C][C]350.111123831682[/C][C]10.5220220152831[/C][/ROW]
[ROW][C]0.545[/C][C]350.994643080052[/C][C]10.8240556416839[/C][/ROW]
[ROW][C]0.55[/C][C]351.901295285353[/C][C]11.0990913572184[/C][/ROW]
[ROW][C]0.555[/C][C]352.828872919103[/C][C]11.3433621987832[/C][/ROW]
[ROW][C]0.56[/C][C]353.774844060581[/C][C]11.5522834319411[/C][/ROW]
[ROW][C]0.565[/C][C]354.73639108685[/C][C]11.7232384755056[/C][/ROW]
[ROW][C]0.57[/C][C]355.710455613274[/C][C]11.8532584545984[/C][/ROW]
[ROW][C]0.575[/C][C]356.693788865579[/C][C]11.9398112193509[/C][/ROW]
[ROW][C]0.58[/C][C]357.683006478311[/C][C]11.9825557251461[/C][/ROW]
[ROW][C]0.585[/C][C]358.674646548593[/C][C]11.9794196328063[/C][/ROW]
[ROW][C]0.59[/C][C]359.665229637184[/C][C]11.9323629448637[/C][/ROW]
[ROW][C]0.595[/C][C]360.651319309132[/C][C]11.8405037429329[/C][/ROW]
[ROW][C]0.6[/C][C]361.629581750537[/C][C]11.7062688146576[/C][/ROW]
[ROW][C]0.605[/C][C]362.596842991334[/C][C]11.5318843432236[/C][/ROW]
[ROW][C]0.61[/C][C]363.550142309284[/C][C]11.3208446422209[/C][/ROW]
[ROW][C]0.615[/C][C]364.486780488069[/C][C]11.0754486198835[/C][/ROW]
[ROW][C]0.62[/C][C]365.404361749995[/C][C]10.8006071877538[/C][/ROW]
[ROW][C]0.625[/C][C]366.300828376405[/C][C]10.5008932791611[/C][/ROW]
[ROW][C]0.63[/C][C]367.174487258672[/C][C]10.1807068619435[/C][/ROW]
[ROW][C]0.635[/C][C]368.024027879883[/C][C]9.84542143720476[/C][/ROW]
[ROW][C]0.64[/C][C]368.848531500352[/C][C]9.4999256500481[/C][/ROW]
[ROW][C]0.645[/C][C]369.647471596342[/C][C]9.14950228972868[/C][/ROW]
[ROW][C]0.65[/C][C]370.420705867977[/C][C]8.7986689418661[/C][/ROW]
[ROW][C]0.655[/C][C]371.168460376784[/C][C]8.45221957915816[/C][/ROW]
[ROW][C]0.66[/C][C]371.891306584641[/C][C]8.11512897625151[/C][/ROW]
[ROW][C]0.665[/C][C]372.590132235061[/C][C]7.79071508676293[/C][/ROW]
[ROW][C]0.67[/C][C]373.26610713836[/C][C]7.48284879285121[/C][/ROW]
[ROW][C]0.675[/C][C]373.92064499114[/C][C]7.19461435645903[/C][/ROW]
[ROW][C]0.68[/C][C]374.555362377786[/C][C]6.9278501813682[/C][/ROW]
[ROW][C]0.685[/C][C]375.172036070824[/C][C]6.68502656891964[/C][/ROW]
[ROW][C]0.69[/C][C]375.772559674506[/C][C]6.46680407259271[/C][/ROW]
[ROW][C]0.695[/C][C]376.35890055112[/C][C]6.2742263455334[/C][/ROW]
[ROW][C]0.7[/C][C]376.933057843008[/C][C]6.10694449323933[/C][/ROW]
[ROW][C]0.705[/C][C]377.497022267182[/C][C]5.96506645867096[/C][/ROW]
[ROW][C]0.71[/C][C]378.052738225397[/C][C]5.84677741067493[/C][/ROW]
[ROW][C]0.715[/C][C]378.60206865129[/C][C]5.75134624833974[/C][/ROW]
[ROW][C]0.72[/C][C]379.146762916341[/C][C]5.67664676705986[/C][/ROW]
[ROW][C]0.725[/C][C]379.688428043641[/C][C]5.62061881624018[/C][/ROW]
[ROW][C]0.73[/C][C]380.228503435054[/C][C]5.5811762442391[/C][/ROW]
[ROW][C]0.735[/C][C]380.768239301899[/C][C]5.55536173979369[/C][/ROW]
[ROW][C]0.74[/C][C]381.308678996696[/C][C]5.5405258440028[/C][/ROW]
[ROW][C]0.745[/C][C]381.850645465578[/C][C]5.53450263313632[/C][/ROW]
[ROW][C]0.75[/C][C]382.394732067176[/C][C]5.53385623657115[/C][/ROW]
[ROW][C]0.755[/C][C]382.941298022218[/C][C]5.53565003286712[/C][/ROW]
[ROW][C]0.76[/C][C]383.490468757062[/C][C]5.53804997321936[/C][/ROW]
[ROW][C]0.765[/C][C]384.042141373433[/C][C]5.53735637911408[/C][/ROW]
[ROW][C]0.77[/C][C]384.595995408183[/C][C]5.53175407892653[/C][/ROW]
[ROW][C]0.775[/C][C]385.151508937041[/C][C]5.51829454150763[/C][/ROW]
[ROW][C]0.78[/C][C]385.707979925844[/C][C]5.49550065380062[/C][/ROW]
[ROW][C]0.785[/C][C]386.264552547287[/C][C]5.46179565360023[/C][/ROW]
[ROW][C]0.79[/C][C]386.820247971163[/C][C]5.4153918044493[/C][/ROW]
[ROW][C]0.795[/C][C]387.373998915796[/C][C]5.35570498987113[/C][/ROW]
[ROW][C]0.8[/C][C]387.924687035059[/C][C]5.28235351659077[/C][/ROW]
[ROW][C]0.805[/C][C]388.471182027676[/C][C]5.19540212718577[/C][/ROW]
[ROW][C]0.81[/C][C]389.012381211404[/C][C]5.09520985485713[/C][/ROW]
[ROW][C]0.815[/C][C]389.547248220313[/C][C]4.98296505206624[/C][/ROW]
[ROW][C]0.82[/C][C]390.074849470803[/C][C]4.85967948353049[/C][/ROW]
[ROW][C]0.825[/C][C]390.594387108467[/C][C]4.7273440645469[/C][/ROW]
[ROW][C]0.83[/C][C]391.105227294492[/C][C]4.58763617668753[/C][/ROW]
[ROW][C]0.835[/C][C]391.606922911617[/C][C]4.44293864688538[/C][/ROW]
[ROW][C]0.84[/C][C]392.099230053425[/C][C]4.29516291943466[/C][/ROW]
[ROW][C]0.845[/C][C]392.582117987358[/C][C]4.14717141426252[/C][/ROW]
[ROW][C]0.85[/C][C]393.055772624712[/C][C]4.00065971277432[/C][/ROW]
[ROW][C]0.855[/C][C]393.52059385527[/C][C]3.85797260403111[/C][/ROW]
[ROW][C]0.86[/C][C]393.977187368073[/C][C]3.72093564269912[/C][/ROW]
[ROW][C]0.865[/C][C]394.426351733527[/C][C]3.59121588493647[/C][/ROW]
[ROW][C]0.87[/C][C]394.869061511559[/C][C]3.47007962524197[/C][/ROW]
[ROW][C]0.875[/C][C]395.30644692267[/C][C]3.35847594615149[/C][/ROW]
[ROW][C]0.88[/C][C]395.739770132027[/C][C]3.2572198743301[/C][/ROW]
[ROW][C]0.885[/C][C]396.170397437743[/C][C]3.16639986932039[/C][/ROW]
[ROW][C]0.89[/C][C]396.599765660635[/C][C]3.08641289927145[/C][/ROW]
[ROW][C]0.895[/C][C]397.029339918174[/C][C]3.01677778025606[/C][/ROW]
[ROW][C]0.9[/C][C]397.460558945442[/C][C]2.95728926863728[/C][/ROW]
[ROW][C]0.905[/C][C]397.894763529163[/C][C]2.90693199819025[/C][/ROW]
[ROW][C]0.91[/C][C]398.333103875975[/C][C]2.86517209132196[/C][/ROW]
[ROW][C]0.915[/C][C]398.77642331656[/C][C]2.82986624203502[/C][/ROW]
[ROW][C]0.92[/C][C]399.225119062472[/C][C]2.79930557801939[/C][/ROW]
[ROW][C]0.925[/C][C]399.678985958142[/C][C]2.77020675447973[/C][/ROW]
[ROW][C]0.93[/C][C]400.137056035675[/C][C]2.73816943238733[/C][/ROW]
[ROW][C]0.935[/C][C]400.597454252439[/C][C]2.69740756890821[/C][/ROW]
[ROW][C]0.94[/C][C]401.057297345171[/C][C]2.64103568947469[/C][/ROW]
[ROW][C]0.945[/C][C]401.512665816191[/C][C]2.56094840890827[/C][/ROW]
[ROW][C]0.95[/C][C]401.958675902885[/C][C]2.44972396947637[/C][/ROW]
[ROW][C]0.955[/C][C]402.389666731117[/C][C]2.30114340462050[/C][/ROW]
[ROW][C]0.96[/C][C]402.799497322489[/C][C]2.11225351284218[/C][/ROW]
[ROW][C]0.965[/C][C]403.181921708169[/C][C]1.88485825027081[/C][/ROW]
[ROW][C]0.97[/C][C]403.530985677062[/C][C]1.62682146080587[/C][/ROW]
[ROW][C]0.975[/C][C]403.841377670872[/C][C]1.35250851317830[/C][/ROW]
[ROW][C]0.98[/C][C]404.10868270657[/C][C]1.08264804991731[/C][/ROW]
[ROW][C]0.985[/C][C]404.32954077594[/C][C]0.842448163677522[/C][/ROW]
[ROW][C]0.99[/C][C]404.501793806997[/C][C]0.657343108550574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49090&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49090&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
0.01289.8517861688270.166480635160015
0.015289.9059513920160.287289299439086
0.02289.9828685395360.422607373209081
0.025290.0841540116740.565985595452151
0.03290.2105991033570.714891338922874
0.035290.3625102462580.869596257194094
0.04290.540078636841.03381229836547
0.045290.7437048760611.21345769091716
0.05290.9742282163391.41521016988071
0.055291.2330354919831.64528949190103
0.06291.5220472279051.90830915710958
0.065291.8435955400652.20640385829688
0.07292.2002196983662.53840232889555
0.075292.5944110396182.90103047899599
0.08293.0283401683463.28779318668004
0.085293.5035970724543.69033890423305
0.09294.0209698960324.09889570794472
0.095294.5802815701694.50252062731497
0.1295.1802961418864.89063824707059
0.105295.8186992115075.25285394599261
0.11296.4921500357935.57985365685578
0.115297.1963970926455.86419149923088
0.12297.9264445907546.0998978983369
0.125298.6767547283276.28341617993035
0.13299.4414694698496.41299081077614
0.135300.2146360746446.48947509541947
0.14300.9904223103316.51480821987107
0.145301.7633098748156.49374607267438
0.15302.5282576579796.43090301544472
0.155303.2808297369506.33216622198014
0.16304.0172861030776.20455508948753
0.165304.7346368225726.0549941424327
0.17305.4306624782295.89016553119952
0.175306.1039052523275.71666669213967
0.18306.7536358915695.54125228664579
0.185307.3798021034425.36906894636515
0.19307.9829637705055.20560439739783
0.195308.564219856765.0559240831133
0.2309.1251311452614.92346012021969
0.205309.6676421057294.81196148898523
0.21310.194004343944.72390391351414
0.215310.7067033059444.66260914134937
0.22311.2083892491524.6291585430929
0.225311.7018129749554.62492894929412
0.23312.189766449324.64963880900634
0.235312.6750282089754.70335138748966
0.24313.1603133411434.78520922991116
0.245313.6482278081684.89443069273949
0.25314.1412269370545.02850657695102
0.255314.6415779811905.18517917114684
0.26315.1513267640805.36158802771985
0.265315.6722685137895.55503769626387
0.27316.2059230781145.76114777986366
0.275316.7535147650815.97762503668135
0.28317.3159570764296.20008890892039
0.285317.8938425922096.42503545464836
0.29318.4874382242786.64804841917819
0.295319.0966859893156.86626584245992
0.3319.7212093633457.07601878514376
0.305320.360325175897.27349514270652
0.31321.0130608891527.45587067510526
0.315321.6781769923567.62028399664232
0.32322.3541941294287.76397606458917
0.325323.0394244743537.8845196232597
0.33323.732006777197.98106449936095
0.335324.4299444277038.05109023052212
0.34325.1311458250758.09460064405648
0.345325.8334663022148.1115165069442
0.35326.5347508318838.10039209169742
0.355327.2328767387708.06343898986135
0.36327.9257956552718.00085741937784
0.365328.6115739877397.91477792441067
0.37329.2884312020597.80619809549036
0.375329.9547752907647.67826424620013
0.38330.6092348462597.5333414525739
0.385331.2506872341017.37485051439348
0.39331.8782824348407.20564461120216
0.395332.4914622009247.02957977724909
0.4333.0899742550816.85030985779072
0.405333.6738813371516.67218237464504
0.41334.2435649862956.49853894424671
0.415334.7997240238636.33449033780638
0.42335.3433677780036.18337783170728
0.425335.8758041635846.04940833085612
0.43336.3986227994865.93690354355279
0.435336.9136734092215.84910150276929
0.44337.4230398098835.78974459075338
0.445337.9290098483085.76125399172628
0.45338.4340416921685.76699865375199
0.455338.9407269276135.80807662853451
0.46339.4517509545265.8862690589687
0.465339.9698512058756.00057999087283
0.47340.4977737497216.15184598842251
0.475341.0382288616326.3384512665572
0.48341.5938461821056.55822917067838
0.485342.1671300981846.80938819779183
0.49342.7604160106957.08886477663178
0.495343.375828167787.39286454143877
0.5344.0152397604637.71782260301136
0.505344.6802359853668.05946327250598
0.51345.3720807810618.41351632568346
0.515346.0916879354148.77498376754161
0.52346.8395972388789.13935098072384
0.525347.6159563199749.50160177084294
0.53348.4205087416359.85573417304177
0.535349.25258885824110.1975835818374
0.54350.11112383168210.5220220152831
0.545350.99464308005210.8240556416839
0.55351.90129528535311.0990913572184
0.555352.82887291910311.3433621987832
0.56353.77484406058111.5522834319411
0.565354.7363910868511.7232384755056
0.57355.71045561327411.8532584545984
0.575356.69378886557911.9398112193509
0.58357.68300647831111.9825557251461
0.585358.67464654859311.9794196328063
0.59359.66522963718411.9323629448637
0.595360.65131930913211.8405037429329
0.6361.62958175053711.7062688146576
0.605362.59684299133411.5318843432236
0.61363.55014230928411.3208446422209
0.615364.48678048806911.0754486198835
0.62365.40436174999510.8006071877538
0.625366.30082837640510.5008932791611
0.63367.17448725867210.1807068619435
0.635368.0240278798839.84542143720476
0.64368.8485315003529.4999256500481
0.645369.6474715963429.14950228972868
0.65370.4207058679778.7986689418661
0.655371.1684603767848.45221957915816
0.66371.8913065846418.11512897625151
0.665372.5901322350617.79071508676293
0.67373.266107138367.48284879285121
0.675373.920644991147.19461435645903
0.68374.5553623777866.9278501813682
0.685375.1720360708246.68502656891964
0.69375.7725596745066.46680407259271
0.695376.358900551126.2742263455334
0.7376.9330578430086.10694449323933
0.705377.4970222671825.96506645867096
0.71378.0527382253975.84677741067493
0.715378.602068651295.75134624833974
0.72379.1467629163415.67664676705986
0.725379.6884280436415.62061881624018
0.73380.2285034350545.5811762442391
0.735380.7682393018995.55536173979369
0.74381.3086789966965.5405258440028
0.745381.8506454655785.53450263313632
0.75382.3947320671765.53385623657115
0.755382.9412980222185.53565003286712
0.76383.4904687570625.53804997321936
0.765384.0421413734335.53735637911408
0.77384.5959954081835.53175407892653
0.775385.1515089370415.51829454150763
0.78385.7079799258445.49550065380062
0.785386.2645525472875.46179565360023
0.79386.8202479711635.4153918044493
0.795387.3739989157965.35570498987113
0.8387.9246870350595.28235351659077
0.805388.4711820276765.19540212718577
0.81389.0123812114045.09520985485713
0.815389.5472482203134.98296505206624
0.82390.0748494708034.85967948353049
0.825390.5943871084674.7273440645469
0.83391.1052272944924.58763617668753
0.835391.6069229116174.44293864688538
0.84392.0992300534254.29516291943466
0.845392.5821179873584.14717141426252
0.85393.0557726247124.00065971277432
0.855393.520593855273.85797260403111
0.86393.9771873680733.72093564269912
0.865394.4263517335273.59121588493647
0.87394.8690615115593.47007962524197
0.875395.306446922673.35847594615149
0.88395.7397701320273.2572198743301
0.885396.1703974377433.16639986932039
0.89396.5997656606353.08641289927145
0.895397.0293399181743.01677778025606
0.9397.4605589454422.95728926863728
0.905397.8947635291632.90693199819025
0.91398.3331038759752.86517209132196
0.915398.776423316562.82986624203502
0.92399.2251190624722.79930557801939
0.925399.6789859581422.77020675447973
0.93400.1370560356752.73816943238733
0.935400.5974542524392.69740756890821
0.94401.0572973451712.64103568947469
0.945401.5126658161912.56094840890827
0.95401.9586759028852.44972396947637
0.955402.3896667311172.30114340462050
0.96402.7994973224892.11225351284218
0.965403.1819217081691.88485825027081
0.97403.5309856770621.62682146080587
0.975403.8413776708721.35250851317830
0.98404.108682706571.08264804991731
0.985404.329540775940.842448163677522
0.99404.5017938069970.657343108550574


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')