Free Statistics

of Irreproducible Research!

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 computationWed, 28 Oct 2009 13:06:39 -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/28/t125675685758s1dcz0uqob46v.htm/, Retrieved Mon, 06 May 2024 02:00:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51745, Retrieved Mon, 06 May 2024 02:00:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS 4 Part 3
Estimated Impact127
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       [Percentiles] [WS III vraag 3] [2009-10-17 11:27:30] [023d83ebdf42a2acf423907b4076e8a1]
- RM D        [Harrell-Davis Quantiles] [WS 3 deel 3 harel...] [2009-10-17 14:16:55] [023d83ebdf42a2acf423907b4076e8a1]
-   PD            [Harrell-Davis Quantiles] [WS 4 Part 3] [2009-10-28 19:06:39] [52b85b290d6f50b0921ad6729b8a5af2] [Current]
Feedback Forum

Post a new message
Dataseries X:
 798
 643
 613
 387
 309
 712
 646
 466
 476
 227
 234
 66
 730
 842
 548
 565
 451
 587
 707
 368
 588
 245
 437
 272
 605
 377
- 5
- 63
- 123
- 52
- 97
- 285
- 291
- 269
- 106
- 150
- 135
- 94
- 204
- 209
- 275
- 486
- 463
- 602
- 822
- 796
- 786
- 745
- 677
- 490
- 562
- 505
- 346
- 230
 2
 178
- 132
- 2
 130
 246




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=51745&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=51745&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51745&T=0

As an alternative you can also use a 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
0.01-814.95327152048825.0221624406710
0.015-809.45412427501726.1793063804779
0.02-802.86364311380729.0719803373223
0.025-795.30789439136233.7937737554928
0.03-786.85534199140840.0246410703942
0.035-777.5298878474847.2654173393542
0.04-767.33509916270255.0061431094581
0.045-756.2783200451462.7899444573288
0.05-744.38821052909770.2363116526781
0.055-731.72355197248577.0458335024335
0.06-718.3740328773883.002051281967
0.065-704.45515310559787.9703918554865
0.07-690.09972301362591.8927834040835
0.075-675.44813534816894.776602525340
0.08-660.63902044336696.6854591168102
0.085-645.80129877909297.7280468758941
0.09-631.0481417528798.0433267696602
0.095-616.47298216396897.7904030720336
0.1-602.14747455213797.137620348212
0.105-588.12116635494796.2519404360047
0.11-574.42257416528695.2904617012547
0.115-561.06133952891294.392844394221
0.12-548.03114670053193.6725432659853
0.125-535.31310799572793.2140783484106
0.13-522.87935334656893.0666043822693
0.135-510.6965954130393.2453575542431
0.14-498.72947826679593.732075793003
0.145-486.94355546322394.4788945324656
0.15-475.30778181682295.4157770041061
0.155-463.79644188064796.457007694811
0.16-452.3904762053197.510097993503
0.165-441.07820281152198.483729420545
0.17-429.85546461974299.2915305960476
0.175-418.72526244263899.861504814701
0.18-407.696956276000100.135667690022
0.185-396.785134025263100.075418632943
0.19-386.00825590243899.659165788636
0.195-375.38718444747998.8857819670997
0.2-364.9437049091297.7699051927504
0.205-354.69912947310196.3425985792493
0.21-344.67306283485894.6457765785008
0.215-334.88238740836292.732048688878
0.22-325.34050567177890.6576074198114
0.225-316.05685635945588.4831768544382
0.23-307.03670183539386.2663603861367
0.235-298.28116717732884.0611575808735
0.24-289.78749808776381.915063461607
0.245-281.54949520191379.8668879040667
0.25-273.55807681351977.945351071693
0.255-265.80192031356876.1696692012143
0.26-258.26813431268774.5482747373333
0.265-250.94291789570973.0802724488695
0.27-243.81217003243171.7582642142838
0.275-236.86202010185770.5672252390078
0.28-230.07925906332469.4892085651166
0.285-223.45165938432268.5036784965596
0.29-216.96817987524667.5898301044555
0.295-210.61905867425066.7279532581094
0.3-204.39580349063965.9007835154101
0.305-198.29109269855265.0944668842006
0.31-192.29860393278464.2987809530651
0.315-186.41278852871363.5085415587907
0.32-180.62861059441062.722367459825
0.325-174.94126888255861.9431466144432
0.33-169.34591815029361.1781812187336
0.335-163.83740457660360.437656313225
0.34-158.41002726629259.7354889906828
0.345-153.05733510936959.0873873181663
0.35-147.77196546465058.5112423516438
0.355-142.54552844785058.0254698615642
0.36-137.36853814831757.6488329431008
0.365-132.23038996393757.400424690313
0.37-127.11938148948857.2968304425786
0.375-122.02277305002757.3540647764902
0.38-116.92688304242457.5855787229584
0.385-111.81721271721658.002456614598
0.39-106.67859486312158.612749853904
0.395-101.49536099660859.4215053737961
0.4-96.251522046460960.4312034222758
0.405-90.9309580891261.6410295560403
0.41-85.517613362087563.047904307788
0.415-79.995693488351464.645661593875
0.42-74.349862517224266.426316894426
0.425-68.565437967067568.3795277447856
0.43-62.628582494881970.4926035510689
0.435-56.52649108221572.7516445886929
0.44-50.24757269744975.1398612886301
0.445-43.781625269266477.6394624992786
0.45-37.120002500023780.2304383482514
0.455-30.255770592277282.8910090653202
0.46-23.183852402837185.597707253862
0.465-15.901155934336888.3254421870142
0.47-8.4066834905488491.0476320614068
0.475-0.7016173285564393.736458465021
0.487.2106226924950896.3632243796696
0.48515.324354076994198.8987352540107
0.4923.6316437195750101.313735791940
0.49532.1223609642801103.579542631671
0.540.7842748635236105.668619216119
0.50549.6031976764342107.555276164517
0.5158.5631752225155109.216254079905
0.51567.6467230381229110.631356446887
0.5276.8351054423399111.784327541033
0.52586.1086526956955112.663251057515
0.5395.4471095332717113.260812146004
0.535104.830006583753113.575119976957
0.54114.237044659041113.609452547965
0.545123.648480719650113.372553206356
0.55133.045503579913112.878689530560
0.555142.410587184329112.147136522467
0.56151.727809606778111.201397449794
0.565160.983126812301110.069585232219
0.57170.164591659040108.78244931659
0.575179.262510555639107.373230661779
0.58188.269532545813105.876668985372
0.585197.180668258986104.327313467290
0.59205.993239014591102.759246110418
0.595214.706759253973101.203883215287
0.6223.32275824843699.6903469570056
0.605231.84454954747298.242776832738
0.61240.27695875220696.881604400835
0.615248.62602180922695.6215599780628
0.62256.89866702987694.4713075471964
0.625265.10239439217393.4346347404919
0.63273.24496535502592.5106329537078
0.635281.33411542283791.6925625555987
0.64289.37730009457290.9707771536966
0.645297.38148270072590.331920227841
0.65305.35297008879189.7613074606064
0.655313.29729930038189.2438628488892
0.66321.21917544377988.7628872420107
0.665329.12245806492288.304628579565
0.67337.01019061687187.855760742321
0.675344.88466527315387.4046616477632
0.68352.74751345797486.944213710989
0.685360.59981118680686.4672810302604
0.69368.44218770630985.9718431783388
0.695376.27492604152885.455863862634
0.7384.09804491330884.920756710182
0.705391.91135305386984.3690185404836
0.71399.71446915895983.8027498025405
0.715407.5068034685383.2255260666931
0.72415.28750012671982.6390208788314
0.725423.05534286706782.044190794647
0.73430.80863000617881.4390886700003
0.735438.54502799660980.8202636404952
0.74446.26141566863480.1804566245107
0.745453.95373356569579.5098384849493
0.75461.61685425253678.7968584702214
0.755469.24448998296878.0265043267841
0.76476.82915353681477.1827523956366
0.765484.36218631334876.2493388364251
0.77491.83386491194575.2097849507321
0.775499.23359352719974.0502940418084
0.78506.55018470051172.7589358942898
0.785513.77222554135171.3283162057638
0.79520.8885207574769.7560003238125
0.795527.88859805503268.0456470027188
0.8534.76325604560566.2066381879689
0.805541.5051300777964.2558841152575
0.81548.10924771321662.2160899750371
0.815554.57354315082760.1181453746478
0.82560.89929896342957.9962957638886
0.825567.09148417234855.8899302645521
0.83573.15896002238553.8422228342918
0.835579.11452887626451.8972451535917
0.84584.97480748060850.0984774361852
0.845590.75991356232948.4858997867639
0.85596.49296445580347.0942491873253
0.855602.19939844683245.9502449722026
0.86607.90614394327845.0701205484924
0.865613.64067849180344.4574266220817
0.87619.43003875060244.1014240158924
0.875625.29986287299343.9777983423377
0.88631.27356650731444.0487451536084
0.885637.37176973712744.2653715694378
0.89643.61210041076444.5706895595278
0.895650.00949387851544.9047712548285
0.9656.57708391476445.2097443732672
0.905663.3277285971945.4364637630145
0.91670.27613396514845.5517563393174
0.915677.44142676374745.5464341688375
0.92684.84989013925545.4409363471972
0.925692.53742368330845.2909578661409
0.93700.55113847719145.1858156396140
0.935708.94936913646745.2385766355947
0.94717.79929872414145.5637513435153
0.945727.17136644043646.2414455260797
0.95737.12967918206547.2760054173886
0.955747.71780523332848.5633131240331
0.96758.9396591553249.8843145899748
0.965770.73583521375850.9367739327939
0.97782.95695906307351.4044928684819
0.975795.33772212379751.0562876256918
0.98807.47846950219249.8535002227554
0.985818.84531188070848.0213830790917
0.99828.8035025856146.0176371553019

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -814.953271520488 & 25.0221624406710 \tabularnewline
0.015 & -809.454124275017 & 26.1793063804779 \tabularnewline
0.02 & -802.863643113807 & 29.0719803373223 \tabularnewline
0.025 & -795.307894391362 & 33.7937737554928 \tabularnewline
0.03 & -786.855341991408 & 40.0246410703942 \tabularnewline
0.035 & -777.52988784748 & 47.2654173393542 \tabularnewline
0.04 & -767.335099162702 & 55.0061431094581 \tabularnewline
0.045 & -756.27832004514 & 62.7899444573288 \tabularnewline
0.05 & -744.388210529097 & 70.2363116526781 \tabularnewline
0.055 & -731.723551972485 & 77.0458335024335 \tabularnewline
0.06 & -718.37403287738 & 83.002051281967 \tabularnewline
0.065 & -704.455153105597 & 87.9703918554865 \tabularnewline
0.07 & -690.099723013625 & 91.8927834040835 \tabularnewline
0.075 & -675.448135348168 & 94.776602525340 \tabularnewline
0.08 & -660.639020443366 & 96.6854591168102 \tabularnewline
0.085 & -645.801298779092 & 97.7280468758941 \tabularnewline
0.09 & -631.04814175287 & 98.0433267696602 \tabularnewline
0.095 & -616.472982163968 & 97.7904030720336 \tabularnewline
0.1 & -602.147474552137 & 97.137620348212 \tabularnewline
0.105 & -588.121166354947 & 96.2519404360047 \tabularnewline
0.11 & -574.422574165286 & 95.2904617012547 \tabularnewline
0.115 & -561.061339528912 & 94.392844394221 \tabularnewline
0.12 & -548.031146700531 & 93.6725432659853 \tabularnewline
0.125 & -535.313107995727 & 93.2140783484106 \tabularnewline
0.13 & -522.879353346568 & 93.0666043822693 \tabularnewline
0.135 & -510.69659541303 & 93.2453575542431 \tabularnewline
0.14 & -498.729478266795 & 93.732075793003 \tabularnewline
0.145 & -486.943555463223 & 94.4788945324656 \tabularnewline
0.15 & -475.307781816822 & 95.4157770041061 \tabularnewline
0.155 & -463.796441880647 & 96.457007694811 \tabularnewline
0.16 & -452.39047620531 & 97.510097993503 \tabularnewline
0.165 & -441.078202811521 & 98.483729420545 \tabularnewline
0.17 & -429.855464619742 & 99.2915305960476 \tabularnewline
0.175 & -418.725262442638 & 99.861504814701 \tabularnewline
0.18 & -407.696956276000 & 100.135667690022 \tabularnewline
0.185 & -396.785134025263 & 100.075418632943 \tabularnewline
0.19 & -386.008255902438 & 99.659165788636 \tabularnewline
0.195 & -375.387184447479 & 98.8857819670997 \tabularnewline
0.2 & -364.94370490912 & 97.7699051927504 \tabularnewline
0.205 & -354.699129473101 & 96.3425985792493 \tabularnewline
0.21 & -344.673062834858 & 94.6457765785008 \tabularnewline
0.215 & -334.882387408362 & 92.732048688878 \tabularnewline
0.22 & -325.340505671778 & 90.6576074198114 \tabularnewline
0.225 & -316.056856359455 & 88.4831768544382 \tabularnewline
0.23 & -307.036701835393 & 86.2663603861367 \tabularnewline
0.235 & -298.281167177328 & 84.0611575808735 \tabularnewline
0.24 & -289.787498087763 & 81.915063461607 \tabularnewline
0.245 & -281.549495201913 & 79.8668879040667 \tabularnewline
0.25 & -273.558076813519 & 77.945351071693 \tabularnewline
0.255 & -265.801920313568 & 76.1696692012143 \tabularnewline
0.26 & -258.268134312687 & 74.5482747373333 \tabularnewline
0.265 & -250.942917895709 & 73.0802724488695 \tabularnewline
0.27 & -243.812170032431 & 71.7582642142838 \tabularnewline
0.275 & -236.862020101857 & 70.5672252390078 \tabularnewline
0.28 & -230.079259063324 & 69.4892085651166 \tabularnewline
0.285 & -223.451659384322 & 68.5036784965596 \tabularnewline
0.29 & -216.968179875246 & 67.5898301044555 \tabularnewline
0.295 & -210.619058674250 & 66.7279532581094 \tabularnewline
0.3 & -204.395803490639 & 65.9007835154101 \tabularnewline
0.305 & -198.291092698552 & 65.0944668842006 \tabularnewline
0.31 & -192.298603932784 & 64.2987809530651 \tabularnewline
0.315 & -186.412788528713 & 63.5085415587907 \tabularnewline
0.32 & -180.628610594410 & 62.722367459825 \tabularnewline
0.325 & -174.941268882558 & 61.9431466144432 \tabularnewline
0.33 & -169.345918150293 & 61.1781812187336 \tabularnewline
0.335 & -163.837404576603 & 60.437656313225 \tabularnewline
0.34 & -158.410027266292 & 59.7354889906828 \tabularnewline
0.345 & -153.057335109369 & 59.0873873181663 \tabularnewline
0.35 & -147.771965464650 & 58.5112423516438 \tabularnewline
0.355 & -142.545528447850 & 58.0254698615642 \tabularnewline
0.36 & -137.368538148317 & 57.6488329431008 \tabularnewline
0.365 & -132.230389963937 & 57.400424690313 \tabularnewline
0.37 & -127.119381489488 & 57.2968304425786 \tabularnewline
0.375 & -122.022773050027 & 57.3540647764902 \tabularnewline
0.38 & -116.926883042424 & 57.5855787229584 \tabularnewline
0.385 & -111.817212717216 & 58.002456614598 \tabularnewline
0.39 & -106.678594863121 & 58.612749853904 \tabularnewline
0.395 & -101.495360996608 & 59.4215053737961 \tabularnewline
0.4 & -96.2515220464609 & 60.4312034222758 \tabularnewline
0.405 & -90.93095808912 & 61.6410295560403 \tabularnewline
0.41 & -85.5176133620875 & 63.047904307788 \tabularnewline
0.415 & -79.9956934883514 & 64.645661593875 \tabularnewline
0.42 & -74.3498625172242 & 66.426316894426 \tabularnewline
0.425 & -68.5654379670675 & 68.3795277447856 \tabularnewline
0.43 & -62.6285824948819 & 70.4926035510689 \tabularnewline
0.435 & -56.526491082215 & 72.7516445886929 \tabularnewline
0.44 & -50.247572697449 & 75.1398612886301 \tabularnewline
0.445 & -43.7816252692664 & 77.6394624992786 \tabularnewline
0.45 & -37.1200025000237 & 80.2304383482514 \tabularnewline
0.455 & -30.2557705922772 & 82.8910090653202 \tabularnewline
0.46 & -23.1838524028371 & 85.597707253862 \tabularnewline
0.465 & -15.9011559343368 & 88.3254421870142 \tabularnewline
0.47 & -8.40668349054884 & 91.0476320614068 \tabularnewline
0.475 & -0.70161732855643 & 93.736458465021 \tabularnewline
0.48 & 7.21062269249508 & 96.3632243796696 \tabularnewline
0.485 & 15.3243540769941 & 98.8987352540107 \tabularnewline
0.49 & 23.6316437195750 & 101.313735791940 \tabularnewline
0.495 & 32.1223609642801 & 103.579542631671 \tabularnewline
0.5 & 40.7842748635236 & 105.668619216119 \tabularnewline
0.505 & 49.6031976764342 & 107.555276164517 \tabularnewline
0.51 & 58.5631752225155 & 109.216254079905 \tabularnewline
0.515 & 67.6467230381229 & 110.631356446887 \tabularnewline
0.52 & 76.8351054423399 & 111.784327541033 \tabularnewline
0.525 & 86.1086526956955 & 112.663251057515 \tabularnewline
0.53 & 95.4471095332717 & 113.260812146004 \tabularnewline
0.535 & 104.830006583753 & 113.575119976957 \tabularnewline
0.54 & 114.237044659041 & 113.609452547965 \tabularnewline
0.545 & 123.648480719650 & 113.372553206356 \tabularnewline
0.55 & 133.045503579913 & 112.878689530560 \tabularnewline
0.555 & 142.410587184329 & 112.147136522467 \tabularnewline
0.56 & 151.727809606778 & 111.201397449794 \tabularnewline
0.565 & 160.983126812301 & 110.069585232219 \tabularnewline
0.57 & 170.164591659040 & 108.78244931659 \tabularnewline
0.575 & 179.262510555639 & 107.373230661779 \tabularnewline
0.58 & 188.269532545813 & 105.876668985372 \tabularnewline
0.585 & 197.180668258986 & 104.327313467290 \tabularnewline
0.59 & 205.993239014591 & 102.759246110418 \tabularnewline
0.595 & 214.706759253973 & 101.203883215287 \tabularnewline
0.6 & 223.322758248436 & 99.6903469570056 \tabularnewline
0.605 & 231.844549547472 & 98.242776832738 \tabularnewline
0.61 & 240.276958752206 & 96.881604400835 \tabularnewline
0.615 & 248.626021809226 & 95.6215599780628 \tabularnewline
0.62 & 256.898667029876 & 94.4713075471964 \tabularnewline
0.625 & 265.102394392173 & 93.4346347404919 \tabularnewline
0.63 & 273.244965355025 & 92.5106329537078 \tabularnewline
0.635 & 281.334115422837 & 91.6925625555987 \tabularnewline
0.64 & 289.377300094572 & 90.9707771536966 \tabularnewline
0.645 & 297.381482700725 & 90.331920227841 \tabularnewline
0.65 & 305.352970088791 & 89.7613074606064 \tabularnewline
0.655 & 313.297299300381 & 89.2438628488892 \tabularnewline
0.66 & 321.219175443779 & 88.7628872420107 \tabularnewline
0.665 & 329.122458064922 & 88.304628579565 \tabularnewline
0.67 & 337.010190616871 & 87.855760742321 \tabularnewline
0.675 & 344.884665273153 & 87.4046616477632 \tabularnewline
0.68 & 352.747513457974 & 86.944213710989 \tabularnewline
0.685 & 360.599811186806 & 86.4672810302604 \tabularnewline
0.69 & 368.442187706309 & 85.9718431783388 \tabularnewline
0.695 & 376.274926041528 & 85.455863862634 \tabularnewline
0.7 & 384.098044913308 & 84.920756710182 \tabularnewline
0.705 & 391.911353053869 & 84.3690185404836 \tabularnewline
0.71 & 399.714469158959 & 83.8027498025405 \tabularnewline
0.715 & 407.50680346853 & 83.2255260666931 \tabularnewline
0.72 & 415.287500126719 & 82.6390208788314 \tabularnewline
0.725 & 423.055342867067 & 82.044190794647 \tabularnewline
0.73 & 430.808630006178 & 81.4390886700003 \tabularnewline
0.735 & 438.545027996609 & 80.8202636404952 \tabularnewline
0.74 & 446.261415668634 & 80.1804566245107 \tabularnewline
0.745 & 453.953733565695 & 79.5098384849493 \tabularnewline
0.75 & 461.616854252536 & 78.7968584702214 \tabularnewline
0.755 & 469.244489982968 & 78.0265043267841 \tabularnewline
0.76 & 476.829153536814 & 77.1827523956366 \tabularnewline
0.765 & 484.362186313348 & 76.2493388364251 \tabularnewline
0.77 & 491.833864911945 & 75.2097849507321 \tabularnewline
0.775 & 499.233593527199 & 74.0502940418084 \tabularnewline
0.78 & 506.550184700511 & 72.7589358942898 \tabularnewline
0.785 & 513.772225541351 & 71.3283162057638 \tabularnewline
0.79 & 520.88852075747 & 69.7560003238125 \tabularnewline
0.795 & 527.888598055032 & 68.0456470027188 \tabularnewline
0.8 & 534.763256045605 & 66.2066381879689 \tabularnewline
0.805 & 541.50513007779 & 64.2558841152575 \tabularnewline
0.81 & 548.109247713216 & 62.2160899750371 \tabularnewline
0.815 & 554.573543150827 & 60.1181453746478 \tabularnewline
0.82 & 560.899298963429 & 57.9962957638886 \tabularnewline
0.825 & 567.091484172348 & 55.8899302645521 \tabularnewline
0.83 & 573.158960022385 & 53.8422228342918 \tabularnewline
0.835 & 579.114528876264 & 51.8972451535917 \tabularnewline
0.84 & 584.974807480608 & 50.0984774361852 \tabularnewline
0.845 & 590.759913562329 & 48.4858997867639 \tabularnewline
0.85 & 596.492964455803 & 47.0942491873253 \tabularnewline
0.855 & 602.199398446832 & 45.9502449722026 \tabularnewline
0.86 & 607.906143943278 & 45.0701205484924 \tabularnewline
0.865 & 613.640678491803 & 44.4574266220817 \tabularnewline
0.87 & 619.430038750602 & 44.1014240158924 \tabularnewline
0.875 & 625.299862872993 & 43.9777983423377 \tabularnewline
0.88 & 631.273566507314 & 44.0487451536084 \tabularnewline
0.885 & 637.371769737127 & 44.2653715694378 \tabularnewline
0.89 & 643.612100410764 & 44.5706895595278 \tabularnewline
0.895 & 650.009493878515 & 44.9047712548285 \tabularnewline
0.9 & 656.577083914764 & 45.2097443732672 \tabularnewline
0.905 & 663.32772859719 & 45.4364637630145 \tabularnewline
0.91 & 670.276133965148 & 45.5517563393174 \tabularnewline
0.915 & 677.441426763747 & 45.5464341688375 \tabularnewline
0.92 & 684.849890139255 & 45.4409363471972 \tabularnewline
0.925 & 692.537423683308 & 45.2909578661409 \tabularnewline
0.93 & 700.551138477191 & 45.1858156396140 \tabularnewline
0.935 & 708.949369136467 & 45.2385766355947 \tabularnewline
0.94 & 717.799298724141 & 45.5637513435153 \tabularnewline
0.945 & 727.171366440436 & 46.2414455260797 \tabularnewline
0.95 & 737.129679182065 & 47.2760054173886 \tabularnewline
0.955 & 747.717805233328 & 48.5633131240331 \tabularnewline
0.96 & 758.93965915532 & 49.8843145899748 \tabularnewline
0.965 & 770.735835213758 & 50.9367739327939 \tabularnewline
0.97 & 782.956959063073 & 51.4044928684819 \tabularnewline
0.975 & 795.337722123797 & 51.0562876256918 \tabularnewline
0.98 & 807.478469502192 & 49.8535002227554 \tabularnewline
0.985 & 818.845311880708 & 48.0213830790917 \tabularnewline
0.99 & 828.80350258561 & 46.0176371553019 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51745&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]-814.953271520488[/C][C]25.0221624406710[/C][/ROW]
[ROW][C]0.015[/C][C]-809.454124275017[/C][C]26.1793063804779[/C][/ROW]
[ROW][C]0.02[/C][C]-802.863643113807[/C][C]29.0719803373223[/C][/ROW]
[ROW][C]0.025[/C][C]-795.307894391362[/C][C]33.7937737554928[/C][/ROW]
[ROW][C]0.03[/C][C]-786.855341991408[/C][C]40.0246410703942[/C][/ROW]
[ROW][C]0.035[/C][C]-777.52988784748[/C][C]47.2654173393542[/C][/ROW]
[ROW][C]0.04[/C][C]-767.335099162702[/C][C]55.0061431094581[/C][/ROW]
[ROW][C]0.045[/C][C]-756.27832004514[/C][C]62.7899444573288[/C][/ROW]
[ROW][C]0.05[/C][C]-744.388210529097[/C][C]70.2363116526781[/C][/ROW]
[ROW][C]0.055[/C][C]-731.723551972485[/C][C]77.0458335024335[/C][/ROW]
[ROW][C]0.06[/C][C]-718.37403287738[/C][C]83.002051281967[/C][/ROW]
[ROW][C]0.065[/C][C]-704.455153105597[/C][C]87.9703918554865[/C][/ROW]
[ROW][C]0.07[/C][C]-690.099723013625[/C][C]91.8927834040835[/C][/ROW]
[ROW][C]0.075[/C][C]-675.448135348168[/C][C]94.776602525340[/C][/ROW]
[ROW][C]0.08[/C][C]-660.639020443366[/C][C]96.6854591168102[/C][/ROW]
[ROW][C]0.085[/C][C]-645.801298779092[/C][C]97.7280468758941[/C][/ROW]
[ROW][C]0.09[/C][C]-631.04814175287[/C][C]98.0433267696602[/C][/ROW]
[ROW][C]0.095[/C][C]-616.472982163968[/C][C]97.7904030720336[/C][/ROW]
[ROW][C]0.1[/C][C]-602.147474552137[/C][C]97.137620348212[/C][/ROW]
[ROW][C]0.105[/C][C]-588.121166354947[/C][C]96.2519404360047[/C][/ROW]
[ROW][C]0.11[/C][C]-574.422574165286[/C][C]95.2904617012547[/C][/ROW]
[ROW][C]0.115[/C][C]-561.061339528912[/C][C]94.392844394221[/C][/ROW]
[ROW][C]0.12[/C][C]-548.031146700531[/C][C]93.6725432659853[/C][/ROW]
[ROW][C]0.125[/C][C]-535.313107995727[/C][C]93.2140783484106[/C][/ROW]
[ROW][C]0.13[/C][C]-522.879353346568[/C][C]93.0666043822693[/C][/ROW]
[ROW][C]0.135[/C][C]-510.69659541303[/C][C]93.2453575542431[/C][/ROW]
[ROW][C]0.14[/C][C]-498.729478266795[/C][C]93.732075793003[/C][/ROW]
[ROW][C]0.145[/C][C]-486.943555463223[/C][C]94.4788945324656[/C][/ROW]
[ROW][C]0.15[/C][C]-475.307781816822[/C][C]95.4157770041061[/C][/ROW]
[ROW][C]0.155[/C][C]-463.796441880647[/C][C]96.457007694811[/C][/ROW]
[ROW][C]0.16[/C][C]-452.39047620531[/C][C]97.510097993503[/C][/ROW]
[ROW][C]0.165[/C][C]-441.078202811521[/C][C]98.483729420545[/C][/ROW]
[ROW][C]0.17[/C][C]-429.855464619742[/C][C]99.2915305960476[/C][/ROW]
[ROW][C]0.175[/C][C]-418.725262442638[/C][C]99.861504814701[/C][/ROW]
[ROW][C]0.18[/C][C]-407.696956276000[/C][C]100.135667690022[/C][/ROW]
[ROW][C]0.185[/C][C]-396.785134025263[/C][C]100.075418632943[/C][/ROW]
[ROW][C]0.19[/C][C]-386.008255902438[/C][C]99.659165788636[/C][/ROW]
[ROW][C]0.195[/C][C]-375.387184447479[/C][C]98.8857819670997[/C][/ROW]
[ROW][C]0.2[/C][C]-364.94370490912[/C][C]97.7699051927504[/C][/ROW]
[ROW][C]0.205[/C][C]-354.699129473101[/C][C]96.3425985792493[/C][/ROW]
[ROW][C]0.21[/C][C]-344.673062834858[/C][C]94.6457765785008[/C][/ROW]
[ROW][C]0.215[/C][C]-334.882387408362[/C][C]92.732048688878[/C][/ROW]
[ROW][C]0.22[/C][C]-325.340505671778[/C][C]90.6576074198114[/C][/ROW]
[ROW][C]0.225[/C][C]-316.056856359455[/C][C]88.4831768544382[/C][/ROW]
[ROW][C]0.23[/C][C]-307.036701835393[/C][C]86.2663603861367[/C][/ROW]
[ROW][C]0.235[/C][C]-298.281167177328[/C][C]84.0611575808735[/C][/ROW]
[ROW][C]0.24[/C][C]-289.787498087763[/C][C]81.915063461607[/C][/ROW]
[ROW][C]0.245[/C][C]-281.549495201913[/C][C]79.8668879040667[/C][/ROW]
[ROW][C]0.25[/C][C]-273.558076813519[/C][C]77.945351071693[/C][/ROW]
[ROW][C]0.255[/C][C]-265.801920313568[/C][C]76.1696692012143[/C][/ROW]
[ROW][C]0.26[/C][C]-258.268134312687[/C][C]74.5482747373333[/C][/ROW]
[ROW][C]0.265[/C][C]-250.942917895709[/C][C]73.0802724488695[/C][/ROW]
[ROW][C]0.27[/C][C]-243.812170032431[/C][C]71.7582642142838[/C][/ROW]
[ROW][C]0.275[/C][C]-236.862020101857[/C][C]70.5672252390078[/C][/ROW]
[ROW][C]0.28[/C][C]-230.079259063324[/C][C]69.4892085651166[/C][/ROW]
[ROW][C]0.285[/C][C]-223.451659384322[/C][C]68.5036784965596[/C][/ROW]
[ROW][C]0.29[/C][C]-216.968179875246[/C][C]67.5898301044555[/C][/ROW]
[ROW][C]0.295[/C][C]-210.619058674250[/C][C]66.7279532581094[/C][/ROW]
[ROW][C]0.3[/C][C]-204.395803490639[/C][C]65.9007835154101[/C][/ROW]
[ROW][C]0.305[/C][C]-198.291092698552[/C][C]65.0944668842006[/C][/ROW]
[ROW][C]0.31[/C][C]-192.298603932784[/C][C]64.2987809530651[/C][/ROW]
[ROW][C]0.315[/C][C]-186.412788528713[/C][C]63.5085415587907[/C][/ROW]
[ROW][C]0.32[/C][C]-180.628610594410[/C][C]62.722367459825[/C][/ROW]
[ROW][C]0.325[/C][C]-174.941268882558[/C][C]61.9431466144432[/C][/ROW]
[ROW][C]0.33[/C][C]-169.345918150293[/C][C]61.1781812187336[/C][/ROW]
[ROW][C]0.335[/C][C]-163.837404576603[/C][C]60.437656313225[/C][/ROW]
[ROW][C]0.34[/C][C]-158.410027266292[/C][C]59.7354889906828[/C][/ROW]
[ROW][C]0.345[/C][C]-153.057335109369[/C][C]59.0873873181663[/C][/ROW]
[ROW][C]0.35[/C][C]-147.771965464650[/C][C]58.5112423516438[/C][/ROW]
[ROW][C]0.355[/C][C]-142.545528447850[/C][C]58.0254698615642[/C][/ROW]
[ROW][C]0.36[/C][C]-137.368538148317[/C][C]57.6488329431008[/C][/ROW]
[ROW][C]0.365[/C][C]-132.230389963937[/C][C]57.400424690313[/C][/ROW]
[ROW][C]0.37[/C][C]-127.119381489488[/C][C]57.2968304425786[/C][/ROW]
[ROW][C]0.375[/C][C]-122.022773050027[/C][C]57.3540647764902[/C][/ROW]
[ROW][C]0.38[/C][C]-116.926883042424[/C][C]57.5855787229584[/C][/ROW]
[ROW][C]0.385[/C][C]-111.817212717216[/C][C]58.002456614598[/C][/ROW]
[ROW][C]0.39[/C][C]-106.678594863121[/C][C]58.612749853904[/C][/ROW]
[ROW][C]0.395[/C][C]-101.495360996608[/C][C]59.4215053737961[/C][/ROW]
[ROW][C]0.4[/C][C]-96.2515220464609[/C][C]60.4312034222758[/C][/ROW]
[ROW][C]0.405[/C][C]-90.93095808912[/C][C]61.6410295560403[/C][/ROW]
[ROW][C]0.41[/C][C]-85.5176133620875[/C][C]63.047904307788[/C][/ROW]
[ROW][C]0.415[/C][C]-79.9956934883514[/C][C]64.645661593875[/C][/ROW]
[ROW][C]0.42[/C][C]-74.3498625172242[/C][C]66.426316894426[/C][/ROW]
[ROW][C]0.425[/C][C]-68.5654379670675[/C][C]68.3795277447856[/C][/ROW]
[ROW][C]0.43[/C][C]-62.6285824948819[/C][C]70.4926035510689[/C][/ROW]
[ROW][C]0.435[/C][C]-56.526491082215[/C][C]72.7516445886929[/C][/ROW]
[ROW][C]0.44[/C][C]-50.247572697449[/C][C]75.1398612886301[/C][/ROW]
[ROW][C]0.445[/C][C]-43.7816252692664[/C][C]77.6394624992786[/C][/ROW]
[ROW][C]0.45[/C][C]-37.1200025000237[/C][C]80.2304383482514[/C][/ROW]
[ROW][C]0.455[/C][C]-30.2557705922772[/C][C]82.8910090653202[/C][/ROW]
[ROW][C]0.46[/C][C]-23.1838524028371[/C][C]85.597707253862[/C][/ROW]
[ROW][C]0.465[/C][C]-15.9011559343368[/C][C]88.3254421870142[/C][/ROW]
[ROW][C]0.47[/C][C]-8.40668349054884[/C][C]91.0476320614068[/C][/ROW]
[ROW][C]0.475[/C][C]-0.70161732855643[/C][C]93.736458465021[/C][/ROW]
[ROW][C]0.48[/C][C]7.21062269249508[/C][C]96.3632243796696[/C][/ROW]
[ROW][C]0.485[/C][C]15.3243540769941[/C][C]98.8987352540107[/C][/ROW]
[ROW][C]0.49[/C][C]23.6316437195750[/C][C]101.313735791940[/C][/ROW]
[ROW][C]0.495[/C][C]32.1223609642801[/C][C]103.579542631671[/C][/ROW]
[ROW][C]0.5[/C][C]40.7842748635236[/C][C]105.668619216119[/C][/ROW]
[ROW][C]0.505[/C][C]49.6031976764342[/C][C]107.555276164517[/C][/ROW]
[ROW][C]0.51[/C][C]58.5631752225155[/C][C]109.216254079905[/C][/ROW]
[ROW][C]0.515[/C][C]67.6467230381229[/C][C]110.631356446887[/C][/ROW]
[ROW][C]0.52[/C][C]76.8351054423399[/C][C]111.784327541033[/C][/ROW]
[ROW][C]0.525[/C][C]86.1086526956955[/C][C]112.663251057515[/C][/ROW]
[ROW][C]0.53[/C][C]95.4471095332717[/C][C]113.260812146004[/C][/ROW]
[ROW][C]0.535[/C][C]104.830006583753[/C][C]113.575119976957[/C][/ROW]
[ROW][C]0.54[/C][C]114.237044659041[/C][C]113.609452547965[/C][/ROW]
[ROW][C]0.545[/C][C]123.648480719650[/C][C]113.372553206356[/C][/ROW]
[ROW][C]0.55[/C][C]133.045503579913[/C][C]112.878689530560[/C][/ROW]
[ROW][C]0.555[/C][C]142.410587184329[/C][C]112.147136522467[/C][/ROW]
[ROW][C]0.56[/C][C]151.727809606778[/C][C]111.201397449794[/C][/ROW]
[ROW][C]0.565[/C][C]160.983126812301[/C][C]110.069585232219[/C][/ROW]
[ROW][C]0.57[/C][C]170.164591659040[/C][C]108.78244931659[/C][/ROW]
[ROW][C]0.575[/C][C]179.262510555639[/C][C]107.373230661779[/C][/ROW]
[ROW][C]0.58[/C][C]188.269532545813[/C][C]105.876668985372[/C][/ROW]
[ROW][C]0.585[/C][C]197.180668258986[/C][C]104.327313467290[/C][/ROW]
[ROW][C]0.59[/C][C]205.993239014591[/C][C]102.759246110418[/C][/ROW]
[ROW][C]0.595[/C][C]214.706759253973[/C][C]101.203883215287[/C][/ROW]
[ROW][C]0.6[/C][C]223.322758248436[/C][C]99.6903469570056[/C][/ROW]
[ROW][C]0.605[/C][C]231.844549547472[/C][C]98.242776832738[/C][/ROW]
[ROW][C]0.61[/C][C]240.276958752206[/C][C]96.881604400835[/C][/ROW]
[ROW][C]0.615[/C][C]248.626021809226[/C][C]95.6215599780628[/C][/ROW]
[ROW][C]0.62[/C][C]256.898667029876[/C][C]94.4713075471964[/C][/ROW]
[ROW][C]0.625[/C][C]265.102394392173[/C][C]93.4346347404919[/C][/ROW]
[ROW][C]0.63[/C][C]273.244965355025[/C][C]92.5106329537078[/C][/ROW]
[ROW][C]0.635[/C][C]281.334115422837[/C][C]91.6925625555987[/C][/ROW]
[ROW][C]0.64[/C][C]289.377300094572[/C][C]90.9707771536966[/C][/ROW]
[ROW][C]0.645[/C][C]297.381482700725[/C][C]90.331920227841[/C][/ROW]
[ROW][C]0.65[/C][C]305.352970088791[/C][C]89.7613074606064[/C][/ROW]
[ROW][C]0.655[/C][C]313.297299300381[/C][C]89.2438628488892[/C][/ROW]
[ROW][C]0.66[/C][C]321.219175443779[/C][C]88.7628872420107[/C][/ROW]
[ROW][C]0.665[/C][C]329.122458064922[/C][C]88.304628579565[/C][/ROW]
[ROW][C]0.67[/C][C]337.010190616871[/C][C]87.855760742321[/C][/ROW]
[ROW][C]0.675[/C][C]344.884665273153[/C][C]87.4046616477632[/C][/ROW]
[ROW][C]0.68[/C][C]352.747513457974[/C][C]86.944213710989[/C][/ROW]
[ROW][C]0.685[/C][C]360.599811186806[/C][C]86.4672810302604[/C][/ROW]
[ROW][C]0.69[/C][C]368.442187706309[/C][C]85.9718431783388[/C][/ROW]
[ROW][C]0.695[/C][C]376.274926041528[/C][C]85.455863862634[/C][/ROW]
[ROW][C]0.7[/C][C]384.098044913308[/C][C]84.920756710182[/C][/ROW]
[ROW][C]0.705[/C][C]391.911353053869[/C][C]84.3690185404836[/C][/ROW]
[ROW][C]0.71[/C][C]399.714469158959[/C][C]83.8027498025405[/C][/ROW]
[ROW][C]0.715[/C][C]407.50680346853[/C][C]83.2255260666931[/C][/ROW]
[ROW][C]0.72[/C][C]415.287500126719[/C][C]82.6390208788314[/C][/ROW]
[ROW][C]0.725[/C][C]423.055342867067[/C][C]82.044190794647[/C][/ROW]
[ROW][C]0.73[/C][C]430.808630006178[/C][C]81.4390886700003[/C][/ROW]
[ROW][C]0.735[/C][C]438.545027996609[/C][C]80.8202636404952[/C][/ROW]
[ROW][C]0.74[/C][C]446.261415668634[/C][C]80.1804566245107[/C][/ROW]
[ROW][C]0.745[/C][C]453.953733565695[/C][C]79.5098384849493[/C][/ROW]
[ROW][C]0.75[/C][C]461.616854252536[/C][C]78.7968584702214[/C][/ROW]
[ROW][C]0.755[/C][C]469.244489982968[/C][C]78.0265043267841[/C][/ROW]
[ROW][C]0.76[/C][C]476.829153536814[/C][C]77.1827523956366[/C][/ROW]
[ROW][C]0.765[/C][C]484.362186313348[/C][C]76.2493388364251[/C][/ROW]
[ROW][C]0.77[/C][C]491.833864911945[/C][C]75.2097849507321[/C][/ROW]
[ROW][C]0.775[/C][C]499.233593527199[/C][C]74.0502940418084[/C][/ROW]
[ROW][C]0.78[/C][C]506.550184700511[/C][C]72.7589358942898[/C][/ROW]
[ROW][C]0.785[/C][C]513.772225541351[/C][C]71.3283162057638[/C][/ROW]
[ROW][C]0.79[/C][C]520.88852075747[/C][C]69.7560003238125[/C][/ROW]
[ROW][C]0.795[/C][C]527.888598055032[/C][C]68.0456470027188[/C][/ROW]
[ROW][C]0.8[/C][C]534.763256045605[/C][C]66.2066381879689[/C][/ROW]
[ROW][C]0.805[/C][C]541.50513007779[/C][C]64.2558841152575[/C][/ROW]
[ROW][C]0.81[/C][C]548.109247713216[/C][C]62.2160899750371[/C][/ROW]
[ROW][C]0.815[/C][C]554.573543150827[/C][C]60.1181453746478[/C][/ROW]
[ROW][C]0.82[/C][C]560.899298963429[/C][C]57.9962957638886[/C][/ROW]
[ROW][C]0.825[/C][C]567.091484172348[/C][C]55.8899302645521[/C][/ROW]
[ROW][C]0.83[/C][C]573.158960022385[/C][C]53.8422228342918[/C][/ROW]
[ROW][C]0.835[/C][C]579.114528876264[/C][C]51.8972451535917[/C][/ROW]
[ROW][C]0.84[/C][C]584.974807480608[/C][C]50.0984774361852[/C][/ROW]
[ROW][C]0.845[/C][C]590.759913562329[/C][C]48.4858997867639[/C][/ROW]
[ROW][C]0.85[/C][C]596.492964455803[/C][C]47.0942491873253[/C][/ROW]
[ROW][C]0.855[/C][C]602.199398446832[/C][C]45.9502449722026[/C][/ROW]
[ROW][C]0.86[/C][C]607.906143943278[/C][C]45.0701205484924[/C][/ROW]
[ROW][C]0.865[/C][C]613.640678491803[/C][C]44.4574266220817[/C][/ROW]
[ROW][C]0.87[/C][C]619.430038750602[/C][C]44.1014240158924[/C][/ROW]
[ROW][C]0.875[/C][C]625.299862872993[/C][C]43.9777983423377[/C][/ROW]
[ROW][C]0.88[/C][C]631.273566507314[/C][C]44.0487451536084[/C][/ROW]
[ROW][C]0.885[/C][C]637.371769737127[/C][C]44.2653715694378[/C][/ROW]
[ROW][C]0.89[/C][C]643.612100410764[/C][C]44.5706895595278[/C][/ROW]
[ROW][C]0.895[/C][C]650.009493878515[/C][C]44.9047712548285[/C][/ROW]
[ROW][C]0.9[/C][C]656.577083914764[/C][C]45.2097443732672[/C][/ROW]
[ROW][C]0.905[/C][C]663.32772859719[/C][C]45.4364637630145[/C][/ROW]
[ROW][C]0.91[/C][C]670.276133965148[/C][C]45.5517563393174[/C][/ROW]
[ROW][C]0.915[/C][C]677.441426763747[/C][C]45.5464341688375[/C][/ROW]
[ROW][C]0.92[/C][C]684.849890139255[/C][C]45.4409363471972[/C][/ROW]
[ROW][C]0.925[/C][C]692.537423683308[/C][C]45.2909578661409[/C][/ROW]
[ROW][C]0.93[/C][C]700.551138477191[/C][C]45.1858156396140[/C][/ROW]
[ROW][C]0.935[/C][C]708.949369136467[/C][C]45.2385766355947[/C][/ROW]
[ROW][C]0.94[/C][C]717.799298724141[/C][C]45.5637513435153[/C][/ROW]
[ROW][C]0.945[/C][C]727.171366440436[/C][C]46.2414455260797[/C][/ROW]
[ROW][C]0.95[/C][C]737.129679182065[/C][C]47.2760054173886[/C][/ROW]
[ROW][C]0.955[/C][C]747.717805233328[/C][C]48.5633131240331[/C][/ROW]
[ROW][C]0.96[/C][C]758.93965915532[/C][C]49.8843145899748[/C][/ROW]
[ROW][C]0.965[/C][C]770.735835213758[/C][C]50.9367739327939[/C][/ROW]
[ROW][C]0.97[/C][C]782.956959063073[/C][C]51.4044928684819[/C][/ROW]
[ROW][C]0.975[/C][C]795.337722123797[/C][C]51.0562876256918[/C][/ROW]
[ROW][C]0.98[/C][C]807.478469502192[/C][C]49.8535002227554[/C][/ROW]
[ROW][C]0.985[/C][C]818.845311880708[/C][C]48.0213830790917[/C][/ROW]
[ROW][C]0.99[/C][C]828.80350258561[/C][C]46.0176371553019[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51745&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51745&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-814.95327152048825.0221624406710
0.015-809.45412427501726.1793063804779
0.02-802.86364311380729.0719803373223
0.025-795.30789439136233.7937737554928
0.03-786.85534199140840.0246410703942
0.035-777.5298878474847.2654173393542
0.04-767.33509916270255.0061431094581
0.045-756.2783200451462.7899444573288
0.05-744.38821052909770.2363116526781
0.055-731.72355197248577.0458335024335
0.06-718.3740328773883.002051281967
0.065-704.45515310559787.9703918554865
0.07-690.09972301362591.8927834040835
0.075-675.44813534816894.776602525340
0.08-660.63902044336696.6854591168102
0.085-645.80129877909297.7280468758941
0.09-631.0481417528798.0433267696602
0.095-616.47298216396897.7904030720336
0.1-602.14747455213797.137620348212
0.105-588.12116635494796.2519404360047
0.11-574.42257416528695.2904617012547
0.115-561.06133952891294.392844394221
0.12-548.03114670053193.6725432659853
0.125-535.31310799572793.2140783484106
0.13-522.87935334656893.0666043822693
0.135-510.6965954130393.2453575542431
0.14-498.72947826679593.732075793003
0.145-486.94355546322394.4788945324656
0.15-475.30778181682295.4157770041061
0.155-463.79644188064796.457007694811
0.16-452.3904762053197.510097993503
0.165-441.07820281152198.483729420545
0.17-429.85546461974299.2915305960476
0.175-418.72526244263899.861504814701
0.18-407.696956276000100.135667690022
0.185-396.785134025263100.075418632943
0.19-386.00825590243899.659165788636
0.195-375.38718444747998.8857819670997
0.2-364.9437049091297.7699051927504
0.205-354.69912947310196.3425985792493
0.21-344.67306283485894.6457765785008
0.215-334.88238740836292.732048688878
0.22-325.34050567177890.6576074198114
0.225-316.05685635945588.4831768544382
0.23-307.03670183539386.2663603861367
0.235-298.28116717732884.0611575808735
0.24-289.78749808776381.915063461607
0.245-281.54949520191379.8668879040667
0.25-273.55807681351977.945351071693
0.255-265.80192031356876.1696692012143
0.26-258.26813431268774.5482747373333
0.265-250.94291789570973.0802724488695
0.27-243.81217003243171.7582642142838
0.275-236.86202010185770.5672252390078
0.28-230.07925906332469.4892085651166
0.285-223.45165938432268.5036784965596
0.29-216.96817987524667.5898301044555
0.295-210.61905867425066.7279532581094
0.3-204.39580349063965.9007835154101
0.305-198.29109269855265.0944668842006
0.31-192.29860393278464.2987809530651
0.315-186.41278852871363.5085415587907
0.32-180.62861059441062.722367459825
0.325-174.94126888255861.9431466144432
0.33-169.34591815029361.1781812187336
0.335-163.83740457660360.437656313225
0.34-158.41002726629259.7354889906828
0.345-153.05733510936959.0873873181663
0.35-147.77196546465058.5112423516438
0.355-142.54552844785058.0254698615642
0.36-137.36853814831757.6488329431008
0.365-132.23038996393757.400424690313
0.37-127.11938148948857.2968304425786
0.375-122.02277305002757.3540647764902
0.38-116.92688304242457.5855787229584
0.385-111.81721271721658.002456614598
0.39-106.67859486312158.612749853904
0.395-101.49536099660859.4215053737961
0.4-96.251522046460960.4312034222758
0.405-90.9309580891261.6410295560403
0.41-85.517613362087563.047904307788
0.415-79.995693488351464.645661593875
0.42-74.349862517224266.426316894426
0.425-68.565437967067568.3795277447856
0.43-62.628582494881970.4926035510689
0.435-56.52649108221572.7516445886929
0.44-50.24757269744975.1398612886301
0.445-43.781625269266477.6394624992786
0.45-37.120002500023780.2304383482514
0.455-30.255770592277282.8910090653202
0.46-23.183852402837185.597707253862
0.465-15.901155934336888.3254421870142
0.47-8.4066834905488491.0476320614068
0.475-0.7016173285564393.736458465021
0.487.2106226924950896.3632243796696
0.48515.324354076994198.8987352540107
0.4923.6316437195750101.313735791940
0.49532.1223609642801103.579542631671
0.540.7842748635236105.668619216119
0.50549.6031976764342107.555276164517
0.5158.5631752225155109.216254079905
0.51567.6467230381229110.631356446887
0.5276.8351054423399111.784327541033
0.52586.1086526956955112.663251057515
0.5395.4471095332717113.260812146004
0.535104.830006583753113.575119976957
0.54114.237044659041113.609452547965
0.545123.648480719650113.372553206356
0.55133.045503579913112.878689530560
0.555142.410587184329112.147136522467
0.56151.727809606778111.201397449794
0.565160.983126812301110.069585232219
0.57170.164591659040108.78244931659
0.575179.262510555639107.373230661779
0.58188.269532545813105.876668985372
0.585197.180668258986104.327313467290
0.59205.993239014591102.759246110418
0.595214.706759253973101.203883215287
0.6223.32275824843699.6903469570056
0.605231.84454954747298.242776832738
0.61240.27695875220696.881604400835
0.615248.62602180922695.6215599780628
0.62256.89866702987694.4713075471964
0.625265.10239439217393.4346347404919
0.63273.24496535502592.5106329537078
0.635281.33411542283791.6925625555987
0.64289.37730009457290.9707771536966
0.645297.38148270072590.331920227841
0.65305.35297008879189.7613074606064
0.655313.29729930038189.2438628488892
0.66321.21917544377988.7628872420107
0.665329.12245806492288.304628579565
0.67337.01019061687187.855760742321
0.675344.88466527315387.4046616477632
0.68352.74751345797486.944213710989
0.685360.59981118680686.4672810302604
0.69368.44218770630985.9718431783388
0.695376.27492604152885.455863862634
0.7384.09804491330884.920756710182
0.705391.91135305386984.3690185404836
0.71399.71446915895983.8027498025405
0.715407.5068034685383.2255260666931
0.72415.28750012671982.6390208788314
0.725423.05534286706782.044190794647
0.73430.80863000617881.4390886700003
0.735438.54502799660980.8202636404952
0.74446.26141566863480.1804566245107
0.745453.95373356569579.5098384849493
0.75461.61685425253678.7968584702214
0.755469.24448998296878.0265043267841
0.76476.82915353681477.1827523956366
0.765484.36218631334876.2493388364251
0.77491.83386491194575.2097849507321
0.775499.23359352719974.0502940418084
0.78506.55018470051172.7589358942898
0.785513.77222554135171.3283162057638
0.79520.8885207574769.7560003238125
0.795527.88859805503268.0456470027188
0.8534.76325604560566.2066381879689
0.805541.5051300777964.2558841152575
0.81548.10924771321662.2160899750371
0.815554.57354315082760.1181453746478
0.82560.89929896342957.9962957638886
0.825567.09148417234855.8899302645521
0.83573.15896002238553.8422228342918
0.835579.11452887626451.8972451535917
0.84584.97480748060850.0984774361852
0.845590.75991356232948.4858997867639
0.85596.49296445580347.0942491873253
0.855602.19939844683245.9502449722026
0.86607.90614394327845.0701205484924
0.865613.64067849180344.4574266220817
0.87619.43003875060244.1014240158924
0.875625.29986287299343.9777983423377
0.88631.27356650731444.0487451536084
0.885637.37176973712744.2653715694378
0.89643.61210041076444.5706895595278
0.895650.00949387851544.9047712548285
0.9656.57708391476445.2097443732672
0.905663.3277285971945.4364637630145
0.91670.27613396514845.5517563393174
0.915677.44142676374745.5464341688375
0.92684.84989013925545.4409363471972
0.925692.53742368330845.2909578661409
0.93700.55113847719145.1858156396140
0.935708.94936913646745.2385766355947
0.94717.79929872414145.5637513435153
0.945727.17136644043646.2414455260797
0.95737.12967918206547.2760054173886
0.955747.71780523332848.5633131240331
0.96758.9396591553249.8843145899748
0.965770.73583521375850.9367739327939
0.97782.95695906307351.4044928684819
0.975795.33772212379751.0562876256918
0.98807.47846950219249.8535002227554
0.985818.84531188070848.0213830790917
0.99828.8035025856146.0176371553019



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')