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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 Oct 2008 03:23:32 -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/2008/Oct/26/t1225013070prh16nthwbfe43m.htm/, Retrieved Sun, 19 May 2024 07:47:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18820, Retrieved Sun, 19 May 2024 07:47:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F    D    [Harrell-Davis Quantiles] [Investigating Dis...] [2008-10-26 09:23:32] [9b05d7ef5dbcfba4217d280d9092f628] [Current]
Feedback Forum
2008-10-29 17:36:20 [Romina Machiels] [reply] 
De student heeft een berekening gemaakt, maar heeft hier geen verdere uitleg bij gegeven omdat de vraag niet begrepen werd.
2008-12-01 18:59:46 [8e2cc0b2ef568da46d009b2f601285b2] [reply] 
De student heeft een berekening gemaakt zonder te weten hoe of wat hij moest aflezen. Door de grillige vorm kunnen we aflezen dat er zich hier geen normaal verdeling voordoet en de reeks afwijkt van een normale verdeling

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
798,2
828,4
808,8
783
750,2
760,2
767,6
753
756,2
735,2
759,4
743,4
822,8
859,8
841,8
823
799,2
786,6
783
786,2
816
775,8
786,6
783,8
855
862,6
874
818,8
813,4
820,2
821
783,2
831,6
822
783,8
781,8
858
822,4
844,4
810
770
748,6
802,2
761,4
738
774,8
755,8
736,2
787,8
791,8
781,2
724,6
734
728,8
717
748
694,6
701,2
672,2
684
736,4

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18820&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18820&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18820&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01675.46381290695211.3882878705528
0.015677.8996231910311.4296435321092
0.02680.67042819652611.6384313900358
0.025683.63850247952612.0003097129534
0.03686.69827650117812.4681451150461
0.035689.77778090248312.9850438005453
0.04692.83253280420913.4971040506093
0.045695.83689529071713.9594649304161
0.05698.77607288325814.332556912193
0.055701.64018497734314.5865865896144
0.06704.42067241876714.6990480338920
0.065707.1086589461114.6606065766900
0.07709.69466667893814.4705851573068
0.075712.16910351544614.1392226538821
0.08714.5230662147313.6837456626412
0.085716.74915251416813.1277297768037
0.09718.84210726780812.4972189183619
0.095720.79922679651611.8190370191701
0.1722.62051217102711.1188421589337
0.105724.30860157306410.4200414300035
0.11725.8685310910789.74326716175797
0.115727.3073786142529.1049666048345
0.12728.6338420402498.51864435676962
0.125729.8577947681897.99425922087373
0.13730.989851304247.53812097034182
0.135732.0409657395217.15538538223518
0.14733.0220770679466.84745154439505
0.145733.9438083655076.61288293389242
0.15734.8162218523466.44810497197299
0.155735.6486285936086.34690796038079
0.16736.4494496896826.3022377219496
0.165737.2261248406886.3060587517809
0.17737.9850637628156.34828668239236
0.175738.7316357912156.41893049227089
0.18739.4701929346426.50941626990492
0.185740.2041215570366.61047260137492
0.19740.9359177329426.71670217677066
0.195741.6672811884236.8201585528284
0.2742.3992226521646.917647942829
0.205743.1321794590177.00370806271243
0.21743.8661344136297.07794301843258
0.215744.6007332562637.138094883323
0.22745.3353965739297.18544532691154
0.225746.0694226436587.2192582051404
0.23746.802078440957.24084157261227
0.235747.5326768462797.25416555818048
0.24748.2606388845477.25931886836656
0.245748.985540589227.26116495627695
0.25749.7071447556047.26194561515112
0.255750.4254184087547.26392251634574
0.26751.1405372454167.26976253942335
0.265751.8528786131957.28247182342437
0.27752.563004770467.30444127422897
0.275753.2716382424667.33681573213714
0.28753.9796310727047.38033980057111
0.285754.6879296856887.43627530190814
0.29755.3975369505597.50602535385405
0.295756.109472883567.58751734992028
0.3756.824735268017.68127896323768
0.305757.5442613145687.78617532731003
0.31758.2688913396567.89999638814203
0.315758.9993353090348.02070259623769
0.32759.7361429762688.14753511854092
0.325760.4796782394858.27564902831595
0.33761.2300982399668.40383747119244
0.335761.9873376280978.52898769210867
0.34762.751098321688.64741158855402
0.345763.5208449752568.75741472748735
0.35764.2958062652688.85436445031655
0.355765.0749819744718.93544254672901
0.36765.8571557316029.00003744121006
0.365766.6409131320519.04314568664278
0.37767.424664836179.06553614388708
0.375768.2066741188629.06308740958274
0.38768.9850882321489.0356415576328
0.385769.7579728463968.98287378172664
0.39770.523348768.90361648125559
0.395771.2792300149388.79759811806946
0.4772.0236625289448.66736628883144
0.405772.75476235518.5121129833425
0.41773.4707527063478.33329110427793
0.415774.1699989341268.1342336638381
0.42774.8510407249397.91598549300244
0.425775.5126208724957.68182156736006
0.43776.1537100923557.43421087810419
0.435776.77352746617.17607184153636
0.44777.3715562282526.91178335196328
0.445777.9475547365886.64385904267036
0.45778.5015625906176.37564935447624
0.455779.033901979396.11129995020634
0.46779.5451744447455.85308079675813
0.465780.0362533365535.60659567136841
0.47780.5082723099735.3739863310271
0.475780.9626102699325.15718432539058
0.48781.4008732042324.96185981512494
0.485781.8248733644424.78832287581543
0.49782.2366062541164.64116228316902
0.495782.6382258691774.52188030242019
0.5783.0320186081264.43183498519893
0.505783.4203762334694.37350399412888
0.51783.8057682239934.34848911009051
0.515784.190713813994.35511617431863
0.52784.5777539737874.39582073501834
0.525784.9694235491784.46884642162223
0.53785.3682237482344.57180455709739
0.535785.776595144144.70662735361423
0.54786.1968913532784.86920721026598
0.545786.6313535484665.05759116410603
0.55787.082085977155.27161460224894
0.555787.5510326713935.50532785507299
0.56788.039955558065.75906615621699
0.565788.5504142003886.02751873726359
0.57789.0837474226886.30958406048496
0.575789.641057084746.60059559481496
0.58790.2231942783446.89863823544088
0.585790.8307482128747.19950394065009
0.59791.4640380378067.49995711701858
0.595792.1231078171547.79694828717793
0.6792.8077248240528.08808710891694
0.605793.517381264468.36886623722913
0.61794.2512994698538.63650102924226
0.615795.0084405228378.88808320125319
0.62795.7875162009419.12084741558657
0.625796.5870040466919.33250895110403
0.63797.405165300749.5204847173874
0.635798.2400653735939.68366888579435
0.64799.0895964838419.81928935697481
0.645799.9515020597329.92588124054243
0.65800.82340248819610.0046311196389
0.655801.70282180199610.0519780088847
0.66802.58721492105710.0690617424005
0.665803.47399510691810.0556865887782
0.67804.36056134699810.0116566651650
0.675805.2443254548019.93803035017444
0.68806.1227387490449.83516441792155
0.685806.9933182544929.70418921697924
0.69807.85367244529.54671395799513
0.695808.7015266218889.36387599313893
0.7809.5347480746079.15760561350764
0.705810.3513712251668.93092027964724
0.71811.1496229669898.6843637275048
0.715811.9279484196198.42082644364717
0.72812.6850372882328.14299065562231
0.725813.419850963167.85412692203112
0.73814.1316504094027.55633334404133
0.735814.8200247811117.25348882559288
0.74815.4849205521366.94887255973641
0.745816.1266707829546.64609600418119
0.75816.7460239507526.34862428355125
0.755817.344171558516.06104582379377
0.76817.92277351865.78786245485399
0.765818.4839800865045.53339169679229
0.77819.0304489132725.30360927251529
0.775819.565355605855.10295970772731
0.78820.0923960486974.93742672422843
0.785820.6157786659394.81253724023185
0.79821.1402048078134.73395200654202
0.795821.6708355443974.7070738734714
0.8822.2132433558084.73565455453073
0.805822.7733475280634.82285897571997
0.81823.3573324967684.97010659150307
0.815823.9715489169335.17709823482325
0.82824.6223978565645.4421431822766
0.825825.3161991852485.7614230396368
0.83826.059045920646.1293885695209
0.835826.856646966886.54016888641548
0.84827.7141612950576.98615271569429
0.845828.6360271538257.45830284315895
0.85829.6257903562447.94739044309288
0.855830.6859360928828.44217333427395
0.86831.8177291303098.93205761238911
0.865833.0210677602479.40527613548134
0.87834.2943575847429.8489145572577
0.875835.63441228357610.2509768832435
0.88837.03639002539210.5989789762552
0.885838.49377622649410.8812937374097
0.89839.99842593328311.0865330726691
0.895841.54068211020511.2045261158841
0.9843.10958933168711.2262403350075
0.905844.69322541175911.1454378180452
0.91846.27917571274110.9579339662805
0.915847.85517517944510.6628784314356
0.92849.40993972006810.2641198100154
0.925850.9341983123389.76986983218682
0.93852.421915176539.1949736230635
0.935853.8716501790068.56034515997121
0.94855.2879359012197.89479315324193
0.945856.6824422828577.23628455430859
0.95858.074551044876.6321658688548
0.955859.4907853978986.14182445751223
0.96860.9623814492775.83544300594563
0.965862.5202419303195.78411786190522
0.97864.1867356725336.03996740840733
0.975865.9644950770776.61059500779796
0.98867.8236873316367.45048653663464
0.985869.6911855989538.46705013861976
0.99871.4472388709939.53226875644113

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 675.463812906952 & 11.3882878705528 \tabularnewline
0.015 & 677.89962319103 & 11.4296435321092 \tabularnewline
0.02 & 680.670428196526 & 11.6384313900358 \tabularnewline
0.025 & 683.638502479526 & 12.0003097129534 \tabularnewline
0.03 & 686.698276501178 & 12.4681451150461 \tabularnewline
0.035 & 689.777780902483 & 12.9850438005453 \tabularnewline
0.04 & 692.832532804209 & 13.4971040506093 \tabularnewline
0.045 & 695.836895290717 & 13.9594649304161 \tabularnewline
0.05 & 698.776072883258 & 14.332556912193 \tabularnewline
0.055 & 701.640184977343 & 14.5865865896144 \tabularnewline
0.06 & 704.420672418767 & 14.6990480338920 \tabularnewline
0.065 & 707.10865894611 & 14.6606065766900 \tabularnewline
0.07 & 709.694666678938 & 14.4705851573068 \tabularnewline
0.075 & 712.169103515446 & 14.1392226538821 \tabularnewline
0.08 & 714.52306621473 & 13.6837456626412 \tabularnewline
0.085 & 716.749152514168 & 13.1277297768037 \tabularnewline
0.09 & 718.842107267808 & 12.4972189183619 \tabularnewline
0.095 & 720.799226796516 & 11.8190370191701 \tabularnewline
0.1 & 722.620512171027 & 11.1188421589337 \tabularnewline
0.105 & 724.308601573064 & 10.4200414300035 \tabularnewline
0.11 & 725.868531091078 & 9.74326716175797 \tabularnewline
0.115 & 727.307378614252 & 9.1049666048345 \tabularnewline
0.12 & 728.633842040249 & 8.51864435676962 \tabularnewline
0.125 & 729.857794768189 & 7.99425922087373 \tabularnewline
0.13 & 730.98985130424 & 7.53812097034182 \tabularnewline
0.135 & 732.040965739521 & 7.15538538223518 \tabularnewline
0.14 & 733.022077067946 & 6.84745154439505 \tabularnewline
0.145 & 733.943808365507 & 6.61288293389242 \tabularnewline
0.15 & 734.816221852346 & 6.44810497197299 \tabularnewline
0.155 & 735.648628593608 & 6.34690796038079 \tabularnewline
0.16 & 736.449449689682 & 6.3022377219496 \tabularnewline
0.165 & 737.226124840688 & 6.3060587517809 \tabularnewline
0.17 & 737.985063762815 & 6.34828668239236 \tabularnewline
0.175 & 738.731635791215 & 6.41893049227089 \tabularnewline
0.18 & 739.470192934642 & 6.50941626990492 \tabularnewline
0.185 & 740.204121557036 & 6.61047260137492 \tabularnewline
0.19 & 740.935917732942 & 6.71670217677066 \tabularnewline
0.195 & 741.667281188423 & 6.8201585528284 \tabularnewline
0.2 & 742.399222652164 & 6.917647942829 \tabularnewline
0.205 & 743.132179459017 & 7.00370806271243 \tabularnewline
0.21 & 743.866134413629 & 7.07794301843258 \tabularnewline
0.215 & 744.600733256263 & 7.138094883323 \tabularnewline
0.22 & 745.335396573929 & 7.18544532691154 \tabularnewline
0.225 & 746.069422643658 & 7.2192582051404 \tabularnewline
0.23 & 746.80207844095 & 7.24084157261227 \tabularnewline
0.235 & 747.532676846279 & 7.25416555818048 \tabularnewline
0.24 & 748.260638884547 & 7.25931886836656 \tabularnewline
0.245 & 748.98554058922 & 7.26116495627695 \tabularnewline
0.25 & 749.707144755604 & 7.26194561515112 \tabularnewline
0.255 & 750.425418408754 & 7.26392251634574 \tabularnewline
0.26 & 751.140537245416 & 7.26976253942335 \tabularnewline
0.265 & 751.852878613195 & 7.28247182342437 \tabularnewline
0.27 & 752.56300477046 & 7.30444127422897 \tabularnewline
0.275 & 753.271638242466 & 7.33681573213714 \tabularnewline
0.28 & 753.979631072704 & 7.38033980057111 \tabularnewline
0.285 & 754.687929685688 & 7.43627530190814 \tabularnewline
0.29 & 755.397536950559 & 7.50602535385405 \tabularnewline
0.295 & 756.10947288356 & 7.58751734992028 \tabularnewline
0.3 & 756.82473526801 & 7.68127896323768 \tabularnewline
0.305 & 757.544261314568 & 7.78617532731003 \tabularnewline
0.31 & 758.268891339656 & 7.89999638814203 \tabularnewline
0.315 & 758.999335309034 & 8.02070259623769 \tabularnewline
0.32 & 759.736142976268 & 8.14753511854092 \tabularnewline
0.325 & 760.479678239485 & 8.27564902831595 \tabularnewline
0.33 & 761.230098239966 & 8.40383747119244 \tabularnewline
0.335 & 761.987337628097 & 8.52898769210867 \tabularnewline
0.34 & 762.75109832168 & 8.64741158855402 \tabularnewline
0.345 & 763.520844975256 & 8.75741472748735 \tabularnewline
0.35 & 764.295806265268 & 8.85436445031655 \tabularnewline
0.355 & 765.074981974471 & 8.93544254672901 \tabularnewline
0.36 & 765.857155731602 & 9.00003744121006 \tabularnewline
0.365 & 766.640913132051 & 9.04314568664278 \tabularnewline
0.37 & 767.42466483617 & 9.06553614388708 \tabularnewline
0.375 & 768.206674118862 & 9.06308740958274 \tabularnewline
0.38 & 768.985088232148 & 9.0356415576328 \tabularnewline
0.385 & 769.757972846396 & 8.98287378172664 \tabularnewline
0.39 & 770.52334876 & 8.90361648125559 \tabularnewline
0.395 & 771.279230014938 & 8.79759811806946 \tabularnewline
0.4 & 772.023662528944 & 8.66736628883144 \tabularnewline
0.405 & 772.7547623551 & 8.5121129833425 \tabularnewline
0.41 & 773.470752706347 & 8.33329110427793 \tabularnewline
0.415 & 774.169998934126 & 8.1342336638381 \tabularnewline
0.42 & 774.851040724939 & 7.91598549300244 \tabularnewline
0.425 & 775.512620872495 & 7.68182156736006 \tabularnewline
0.43 & 776.153710092355 & 7.43421087810419 \tabularnewline
0.435 & 776.7735274661 & 7.17607184153636 \tabularnewline
0.44 & 777.371556228252 & 6.91178335196328 \tabularnewline
0.445 & 777.947554736588 & 6.64385904267036 \tabularnewline
0.45 & 778.501562590617 & 6.37564935447624 \tabularnewline
0.455 & 779.03390197939 & 6.11129995020634 \tabularnewline
0.46 & 779.545174444745 & 5.85308079675813 \tabularnewline
0.465 & 780.036253336553 & 5.60659567136841 \tabularnewline
0.47 & 780.508272309973 & 5.3739863310271 \tabularnewline
0.475 & 780.962610269932 & 5.15718432539058 \tabularnewline
0.48 & 781.400873204232 & 4.96185981512494 \tabularnewline
0.485 & 781.824873364442 & 4.78832287581543 \tabularnewline
0.49 & 782.236606254116 & 4.64116228316902 \tabularnewline
0.495 & 782.638225869177 & 4.52188030242019 \tabularnewline
0.5 & 783.032018608126 & 4.43183498519893 \tabularnewline
0.505 & 783.420376233469 & 4.37350399412888 \tabularnewline
0.51 & 783.805768223993 & 4.34848911009051 \tabularnewline
0.515 & 784.19071381399 & 4.35511617431863 \tabularnewline
0.52 & 784.577753973787 & 4.39582073501834 \tabularnewline
0.525 & 784.969423549178 & 4.46884642162223 \tabularnewline
0.53 & 785.368223748234 & 4.57180455709739 \tabularnewline
0.535 & 785.77659514414 & 4.70662735361423 \tabularnewline
0.54 & 786.196891353278 & 4.86920721026598 \tabularnewline
0.545 & 786.631353548466 & 5.05759116410603 \tabularnewline
0.55 & 787.08208597715 & 5.27161460224894 \tabularnewline
0.555 & 787.551032671393 & 5.50532785507299 \tabularnewline
0.56 & 788.03995555806 & 5.75906615621699 \tabularnewline
0.565 & 788.550414200388 & 6.02751873726359 \tabularnewline
0.57 & 789.083747422688 & 6.30958406048496 \tabularnewline
0.575 & 789.64105708474 & 6.60059559481496 \tabularnewline
0.58 & 790.223194278344 & 6.89863823544088 \tabularnewline
0.585 & 790.830748212874 & 7.19950394065009 \tabularnewline
0.59 & 791.464038037806 & 7.49995711701858 \tabularnewline
0.595 & 792.123107817154 & 7.79694828717793 \tabularnewline
0.6 & 792.807724824052 & 8.08808710891694 \tabularnewline
0.605 & 793.51738126446 & 8.36886623722913 \tabularnewline
0.61 & 794.251299469853 & 8.63650102924226 \tabularnewline
0.615 & 795.008440522837 & 8.88808320125319 \tabularnewline
0.62 & 795.787516200941 & 9.12084741558657 \tabularnewline
0.625 & 796.587004046691 & 9.33250895110403 \tabularnewline
0.63 & 797.40516530074 & 9.5204847173874 \tabularnewline
0.635 & 798.240065373593 & 9.68366888579435 \tabularnewline
0.64 & 799.089596483841 & 9.81928935697481 \tabularnewline
0.645 & 799.951502059732 & 9.92588124054243 \tabularnewline
0.65 & 800.823402488196 & 10.0046311196389 \tabularnewline
0.655 & 801.702821801996 & 10.0519780088847 \tabularnewline
0.66 & 802.587214921057 & 10.0690617424005 \tabularnewline
0.665 & 803.473995106918 & 10.0556865887782 \tabularnewline
0.67 & 804.360561346998 & 10.0116566651650 \tabularnewline
0.675 & 805.244325454801 & 9.93803035017444 \tabularnewline
0.68 & 806.122738749044 & 9.83516441792155 \tabularnewline
0.685 & 806.993318254492 & 9.70418921697924 \tabularnewline
0.69 & 807.8536724452 & 9.54671395799513 \tabularnewline
0.695 & 808.701526621888 & 9.36387599313893 \tabularnewline
0.7 & 809.534748074607 & 9.15760561350764 \tabularnewline
0.705 & 810.351371225166 & 8.93092027964724 \tabularnewline
0.71 & 811.149622966989 & 8.6843637275048 \tabularnewline
0.715 & 811.927948419619 & 8.42082644364717 \tabularnewline
0.72 & 812.685037288232 & 8.14299065562231 \tabularnewline
0.725 & 813.41985096316 & 7.85412692203112 \tabularnewline
0.73 & 814.131650409402 & 7.55633334404133 \tabularnewline
0.735 & 814.820024781111 & 7.25348882559288 \tabularnewline
0.74 & 815.484920552136 & 6.94887255973641 \tabularnewline
0.745 & 816.126670782954 & 6.64609600418119 \tabularnewline
0.75 & 816.746023950752 & 6.34862428355125 \tabularnewline
0.755 & 817.34417155851 & 6.06104582379377 \tabularnewline
0.76 & 817.9227735186 & 5.78786245485399 \tabularnewline
0.765 & 818.483980086504 & 5.53339169679229 \tabularnewline
0.77 & 819.030448913272 & 5.30360927251529 \tabularnewline
0.775 & 819.56535560585 & 5.10295970772731 \tabularnewline
0.78 & 820.092396048697 & 4.93742672422843 \tabularnewline
0.785 & 820.615778665939 & 4.81253724023185 \tabularnewline
0.79 & 821.140204807813 & 4.73395200654202 \tabularnewline
0.795 & 821.670835544397 & 4.7070738734714 \tabularnewline
0.8 & 822.213243355808 & 4.73565455453073 \tabularnewline
0.805 & 822.773347528063 & 4.82285897571997 \tabularnewline
0.81 & 823.357332496768 & 4.97010659150307 \tabularnewline
0.815 & 823.971548916933 & 5.17709823482325 \tabularnewline
0.82 & 824.622397856564 & 5.4421431822766 \tabularnewline
0.825 & 825.316199185248 & 5.7614230396368 \tabularnewline
0.83 & 826.05904592064 & 6.1293885695209 \tabularnewline
0.835 & 826.85664696688 & 6.54016888641548 \tabularnewline
0.84 & 827.714161295057 & 6.98615271569429 \tabularnewline
0.845 & 828.636027153825 & 7.45830284315895 \tabularnewline
0.85 & 829.625790356244 & 7.94739044309288 \tabularnewline
0.855 & 830.685936092882 & 8.44217333427395 \tabularnewline
0.86 & 831.817729130309 & 8.93205761238911 \tabularnewline
0.865 & 833.021067760247 & 9.40527613548134 \tabularnewline
0.87 & 834.294357584742 & 9.8489145572577 \tabularnewline
0.875 & 835.634412283576 & 10.2509768832435 \tabularnewline
0.88 & 837.036390025392 & 10.5989789762552 \tabularnewline
0.885 & 838.493776226494 & 10.8812937374097 \tabularnewline
0.89 & 839.998425933283 & 11.0865330726691 \tabularnewline
0.895 & 841.540682110205 & 11.2045261158841 \tabularnewline
0.9 & 843.109589331687 & 11.2262403350075 \tabularnewline
0.905 & 844.693225411759 & 11.1454378180452 \tabularnewline
0.91 & 846.279175712741 & 10.9579339662805 \tabularnewline
0.915 & 847.855175179445 & 10.6628784314356 \tabularnewline
0.92 & 849.409939720068 & 10.2641198100154 \tabularnewline
0.925 & 850.934198312338 & 9.76986983218682 \tabularnewline
0.93 & 852.42191517653 & 9.1949736230635 \tabularnewline
0.935 & 853.871650179006 & 8.56034515997121 \tabularnewline
0.94 & 855.287935901219 & 7.89479315324193 \tabularnewline
0.945 & 856.682442282857 & 7.23628455430859 \tabularnewline
0.95 & 858.07455104487 & 6.6321658688548 \tabularnewline
0.955 & 859.490785397898 & 6.14182445751223 \tabularnewline
0.96 & 860.962381449277 & 5.83544300594563 \tabularnewline
0.965 & 862.520241930319 & 5.78411786190522 \tabularnewline
0.97 & 864.186735672533 & 6.03996740840733 \tabularnewline
0.975 & 865.964495077077 & 6.61059500779796 \tabularnewline
0.98 & 867.823687331636 & 7.45048653663464 \tabularnewline
0.985 & 869.691185598953 & 8.46705013861976 \tabularnewline
0.99 & 871.447238870993 & 9.53226875644113 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18820&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]675.463812906952[/C][C]11.3882878705528[/C][/ROW]
[ROW][C]0.015[/C][C]677.89962319103[/C][C]11.4296435321092[/C][/ROW]
[ROW][C]0.02[/C][C]680.670428196526[/C][C]11.6384313900358[/C][/ROW]
[ROW][C]0.025[/C][C]683.638502479526[/C][C]12.0003097129534[/C][/ROW]
[ROW][C]0.03[/C][C]686.698276501178[/C][C]12.4681451150461[/C][/ROW]
[ROW][C]0.035[/C][C]689.777780902483[/C][C]12.9850438005453[/C][/ROW]
[ROW][C]0.04[/C][C]692.832532804209[/C][C]13.4971040506093[/C][/ROW]
[ROW][C]0.045[/C][C]695.836895290717[/C][C]13.9594649304161[/C][/ROW]
[ROW][C]0.05[/C][C]698.776072883258[/C][C]14.332556912193[/C][/ROW]
[ROW][C]0.055[/C][C]701.640184977343[/C][C]14.5865865896144[/C][/ROW]
[ROW][C]0.06[/C][C]704.420672418767[/C][C]14.6990480338920[/C][/ROW]
[ROW][C]0.065[/C][C]707.10865894611[/C][C]14.6606065766900[/C][/ROW]
[ROW][C]0.07[/C][C]709.694666678938[/C][C]14.4705851573068[/C][/ROW]
[ROW][C]0.075[/C][C]712.169103515446[/C][C]14.1392226538821[/C][/ROW]
[ROW][C]0.08[/C][C]714.52306621473[/C][C]13.6837456626412[/C][/ROW]
[ROW][C]0.085[/C][C]716.749152514168[/C][C]13.1277297768037[/C][/ROW]
[ROW][C]0.09[/C][C]718.842107267808[/C][C]12.4972189183619[/C][/ROW]
[ROW][C]0.095[/C][C]720.799226796516[/C][C]11.8190370191701[/C][/ROW]
[ROW][C]0.1[/C][C]722.620512171027[/C][C]11.1188421589337[/C][/ROW]
[ROW][C]0.105[/C][C]724.308601573064[/C][C]10.4200414300035[/C][/ROW]
[ROW][C]0.11[/C][C]725.868531091078[/C][C]9.74326716175797[/C][/ROW]
[ROW][C]0.115[/C][C]727.307378614252[/C][C]9.1049666048345[/C][/ROW]
[ROW][C]0.12[/C][C]728.633842040249[/C][C]8.51864435676962[/C][/ROW]
[ROW][C]0.125[/C][C]729.857794768189[/C][C]7.99425922087373[/C][/ROW]
[ROW][C]0.13[/C][C]730.98985130424[/C][C]7.53812097034182[/C][/ROW]
[ROW][C]0.135[/C][C]732.040965739521[/C][C]7.15538538223518[/C][/ROW]
[ROW][C]0.14[/C][C]733.022077067946[/C][C]6.84745154439505[/C][/ROW]
[ROW][C]0.145[/C][C]733.943808365507[/C][C]6.61288293389242[/C][/ROW]
[ROW][C]0.15[/C][C]734.816221852346[/C][C]6.44810497197299[/C][/ROW]
[ROW][C]0.155[/C][C]735.648628593608[/C][C]6.34690796038079[/C][/ROW]
[ROW][C]0.16[/C][C]736.449449689682[/C][C]6.3022377219496[/C][/ROW]
[ROW][C]0.165[/C][C]737.226124840688[/C][C]6.3060587517809[/C][/ROW]
[ROW][C]0.17[/C][C]737.985063762815[/C][C]6.34828668239236[/C][/ROW]
[ROW][C]0.175[/C][C]738.731635791215[/C][C]6.41893049227089[/C][/ROW]
[ROW][C]0.18[/C][C]739.470192934642[/C][C]6.50941626990492[/C][/ROW]
[ROW][C]0.185[/C][C]740.204121557036[/C][C]6.61047260137492[/C][/ROW]
[ROW][C]0.19[/C][C]740.935917732942[/C][C]6.71670217677066[/C][/ROW]
[ROW][C]0.195[/C][C]741.667281188423[/C][C]6.8201585528284[/C][/ROW]
[ROW][C]0.2[/C][C]742.399222652164[/C][C]6.917647942829[/C][/ROW]
[ROW][C]0.205[/C][C]743.132179459017[/C][C]7.00370806271243[/C][/ROW]
[ROW][C]0.21[/C][C]743.866134413629[/C][C]7.07794301843258[/C][/ROW]
[ROW][C]0.215[/C][C]744.600733256263[/C][C]7.138094883323[/C][/ROW]
[ROW][C]0.22[/C][C]745.335396573929[/C][C]7.18544532691154[/C][/ROW]
[ROW][C]0.225[/C][C]746.069422643658[/C][C]7.2192582051404[/C][/ROW]
[ROW][C]0.23[/C][C]746.80207844095[/C][C]7.24084157261227[/C][/ROW]
[ROW][C]0.235[/C][C]747.532676846279[/C][C]7.25416555818048[/C][/ROW]
[ROW][C]0.24[/C][C]748.260638884547[/C][C]7.25931886836656[/C][/ROW]
[ROW][C]0.245[/C][C]748.98554058922[/C][C]7.26116495627695[/C][/ROW]
[ROW][C]0.25[/C][C]749.707144755604[/C][C]7.26194561515112[/C][/ROW]
[ROW][C]0.255[/C][C]750.425418408754[/C][C]7.26392251634574[/C][/ROW]
[ROW][C]0.26[/C][C]751.140537245416[/C][C]7.26976253942335[/C][/ROW]
[ROW][C]0.265[/C][C]751.852878613195[/C][C]7.28247182342437[/C][/ROW]
[ROW][C]0.27[/C][C]752.56300477046[/C][C]7.30444127422897[/C][/ROW]
[ROW][C]0.275[/C][C]753.271638242466[/C][C]7.33681573213714[/C][/ROW]
[ROW][C]0.28[/C][C]753.979631072704[/C][C]7.38033980057111[/C][/ROW]
[ROW][C]0.285[/C][C]754.687929685688[/C][C]7.43627530190814[/C][/ROW]
[ROW][C]0.29[/C][C]755.397536950559[/C][C]7.50602535385405[/C][/ROW]
[ROW][C]0.295[/C][C]756.10947288356[/C][C]7.58751734992028[/C][/ROW]
[ROW][C]0.3[/C][C]756.82473526801[/C][C]7.68127896323768[/C][/ROW]
[ROW][C]0.305[/C][C]757.544261314568[/C][C]7.78617532731003[/C][/ROW]
[ROW][C]0.31[/C][C]758.268891339656[/C][C]7.89999638814203[/C][/ROW]
[ROW][C]0.315[/C][C]758.999335309034[/C][C]8.02070259623769[/C][/ROW]
[ROW][C]0.32[/C][C]759.736142976268[/C][C]8.14753511854092[/C][/ROW]
[ROW][C]0.325[/C][C]760.479678239485[/C][C]8.27564902831595[/C][/ROW]
[ROW][C]0.33[/C][C]761.230098239966[/C][C]8.40383747119244[/C][/ROW]
[ROW][C]0.335[/C][C]761.987337628097[/C][C]8.52898769210867[/C][/ROW]
[ROW][C]0.34[/C][C]762.75109832168[/C][C]8.64741158855402[/C][/ROW]
[ROW][C]0.345[/C][C]763.520844975256[/C][C]8.75741472748735[/C][/ROW]
[ROW][C]0.35[/C][C]764.295806265268[/C][C]8.85436445031655[/C][/ROW]
[ROW][C]0.355[/C][C]765.074981974471[/C][C]8.93544254672901[/C][/ROW]
[ROW][C]0.36[/C][C]765.857155731602[/C][C]9.00003744121006[/C][/ROW]
[ROW][C]0.365[/C][C]766.640913132051[/C][C]9.04314568664278[/C][/ROW]
[ROW][C]0.37[/C][C]767.42466483617[/C][C]9.06553614388708[/C][/ROW]
[ROW][C]0.375[/C][C]768.206674118862[/C][C]9.06308740958274[/C][/ROW]
[ROW][C]0.38[/C][C]768.985088232148[/C][C]9.0356415576328[/C][/ROW]
[ROW][C]0.385[/C][C]769.757972846396[/C][C]8.98287378172664[/C][/ROW]
[ROW][C]0.39[/C][C]770.52334876[/C][C]8.90361648125559[/C][/ROW]
[ROW][C]0.395[/C][C]771.279230014938[/C][C]8.79759811806946[/C][/ROW]
[ROW][C]0.4[/C][C]772.023662528944[/C][C]8.66736628883144[/C][/ROW]
[ROW][C]0.405[/C][C]772.7547623551[/C][C]8.5121129833425[/C][/ROW]
[ROW][C]0.41[/C][C]773.470752706347[/C][C]8.33329110427793[/C][/ROW]
[ROW][C]0.415[/C][C]774.169998934126[/C][C]8.1342336638381[/C][/ROW]
[ROW][C]0.42[/C][C]774.851040724939[/C][C]7.91598549300244[/C][/ROW]
[ROW][C]0.425[/C][C]775.512620872495[/C][C]7.68182156736006[/C][/ROW]
[ROW][C]0.43[/C][C]776.153710092355[/C][C]7.43421087810419[/C][/ROW]
[ROW][C]0.435[/C][C]776.7735274661[/C][C]7.17607184153636[/C][/ROW]
[ROW][C]0.44[/C][C]777.371556228252[/C][C]6.91178335196328[/C][/ROW]
[ROW][C]0.445[/C][C]777.947554736588[/C][C]6.64385904267036[/C][/ROW]
[ROW][C]0.45[/C][C]778.501562590617[/C][C]6.37564935447624[/C][/ROW]
[ROW][C]0.455[/C][C]779.03390197939[/C][C]6.11129995020634[/C][/ROW]
[ROW][C]0.46[/C][C]779.545174444745[/C][C]5.85308079675813[/C][/ROW]
[ROW][C]0.465[/C][C]780.036253336553[/C][C]5.60659567136841[/C][/ROW]
[ROW][C]0.47[/C][C]780.508272309973[/C][C]5.3739863310271[/C][/ROW]
[ROW][C]0.475[/C][C]780.962610269932[/C][C]5.15718432539058[/C][/ROW]
[ROW][C]0.48[/C][C]781.400873204232[/C][C]4.96185981512494[/C][/ROW]
[ROW][C]0.485[/C][C]781.824873364442[/C][C]4.78832287581543[/C][/ROW]
[ROW][C]0.49[/C][C]782.236606254116[/C][C]4.64116228316902[/C][/ROW]
[ROW][C]0.495[/C][C]782.638225869177[/C][C]4.52188030242019[/C][/ROW]
[ROW][C]0.5[/C][C]783.032018608126[/C][C]4.43183498519893[/C][/ROW]
[ROW][C]0.505[/C][C]783.420376233469[/C][C]4.37350399412888[/C][/ROW]
[ROW][C]0.51[/C][C]783.805768223993[/C][C]4.34848911009051[/C][/ROW]
[ROW][C]0.515[/C][C]784.19071381399[/C][C]4.35511617431863[/C][/ROW]
[ROW][C]0.52[/C][C]784.577753973787[/C][C]4.39582073501834[/C][/ROW]
[ROW][C]0.525[/C][C]784.969423549178[/C][C]4.46884642162223[/C][/ROW]
[ROW][C]0.53[/C][C]785.368223748234[/C][C]4.57180455709739[/C][/ROW]
[ROW][C]0.535[/C][C]785.77659514414[/C][C]4.70662735361423[/C][/ROW]
[ROW][C]0.54[/C][C]786.196891353278[/C][C]4.86920721026598[/C][/ROW]
[ROW][C]0.545[/C][C]786.631353548466[/C][C]5.05759116410603[/C][/ROW]
[ROW][C]0.55[/C][C]787.08208597715[/C][C]5.27161460224894[/C][/ROW]
[ROW][C]0.555[/C][C]787.551032671393[/C][C]5.50532785507299[/C][/ROW]
[ROW][C]0.56[/C][C]788.03995555806[/C][C]5.75906615621699[/C][/ROW]
[ROW][C]0.565[/C][C]788.550414200388[/C][C]6.02751873726359[/C][/ROW]
[ROW][C]0.57[/C][C]789.083747422688[/C][C]6.30958406048496[/C][/ROW]
[ROW][C]0.575[/C][C]789.64105708474[/C][C]6.60059559481496[/C][/ROW]
[ROW][C]0.58[/C][C]790.223194278344[/C][C]6.89863823544088[/C][/ROW]
[ROW][C]0.585[/C][C]790.830748212874[/C][C]7.19950394065009[/C][/ROW]
[ROW][C]0.59[/C][C]791.464038037806[/C][C]7.49995711701858[/C][/ROW]
[ROW][C]0.595[/C][C]792.123107817154[/C][C]7.79694828717793[/C][/ROW]
[ROW][C]0.6[/C][C]792.807724824052[/C][C]8.08808710891694[/C][/ROW]
[ROW][C]0.605[/C][C]793.51738126446[/C][C]8.36886623722913[/C][/ROW]
[ROW][C]0.61[/C][C]794.251299469853[/C][C]8.63650102924226[/C][/ROW]
[ROW][C]0.615[/C][C]795.008440522837[/C][C]8.88808320125319[/C][/ROW]
[ROW][C]0.62[/C][C]795.787516200941[/C][C]9.12084741558657[/C][/ROW]
[ROW][C]0.625[/C][C]796.587004046691[/C][C]9.33250895110403[/C][/ROW]
[ROW][C]0.63[/C][C]797.40516530074[/C][C]9.5204847173874[/C][/ROW]
[ROW][C]0.635[/C][C]798.240065373593[/C][C]9.68366888579435[/C][/ROW]
[ROW][C]0.64[/C][C]799.089596483841[/C][C]9.81928935697481[/C][/ROW]
[ROW][C]0.645[/C][C]799.951502059732[/C][C]9.92588124054243[/C][/ROW]
[ROW][C]0.65[/C][C]800.823402488196[/C][C]10.0046311196389[/C][/ROW]
[ROW][C]0.655[/C][C]801.702821801996[/C][C]10.0519780088847[/C][/ROW]
[ROW][C]0.66[/C][C]802.587214921057[/C][C]10.0690617424005[/C][/ROW]
[ROW][C]0.665[/C][C]803.473995106918[/C][C]10.0556865887782[/C][/ROW]
[ROW][C]0.67[/C][C]804.360561346998[/C][C]10.0116566651650[/C][/ROW]
[ROW][C]0.675[/C][C]805.244325454801[/C][C]9.93803035017444[/C][/ROW]
[ROW][C]0.68[/C][C]806.122738749044[/C][C]9.83516441792155[/C][/ROW]
[ROW][C]0.685[/C][C]806.993318254492[/C][C]9.70418921697924[/C][/ROW]
[ROW][C]0.69[/C][C]807.8536724452[/C][C]9.54671395799513[/C][/ROW]
[ROW][C]0.695[/C][C]808.701526621888[/C][C]9.36387599313893[/C][/ROW]
[ROW][C]0.7[/C][C]809.534748074607[/C][C]9.15760561350764[/C][/ROW]
[ROW][C]0.705[/C][C]810.351371225166[/C][C]8.93092027964724[/C][/ROW]
[ROW][C]0.71[/C][C]811.149622966989[/C][C]8.6843637275048[/C][/ROW]
[ROW][C]0.715[/C][C]811.927948419619[/C][C]8.42082644364717[/C][/ROW]
[ROW][C]0.72[/C][C]812.685037288232[/C][C]8.14299065562231[/C][/ROW]
[ROW][C]0.725[/C][C]813.41985096316[/C][C]7.85412692203112[/C][/ROW]
[ROW][C]0.73[/C][C]814.131650409402[/C][C]7.55633334404133[/C][/ROW]
[ROW][C]0.735[/C][C]814.820024781111[/C][C]7.25348882559288[/C][/ROW]
[ROW][C]0.74[/C][C]815.484920552136[/C][C]6.94887255973641[/C][/ROW]
[ROW][C]0.745[/C][C]816.126670782954[/C][C]6.64609600418119[/C][/ROW]
[ROW][C]0.75[/C][C]816.746023950752[/C][C]6.34862428355125[/C][/ROW]
[ROW][C]0.755[/C][C]817.34417155851[/C][C]6.06104582379377[/C][/ROW]
[ROW][C]0.76[/C][C]817.9227735186[/C][C]5.78786245485399[/C][/ROW]
[ROW][C]0.765[/C][C]818.483980086504[/C][C]5.53339169679229[/C][/ROW]
[ROW][C]0.77[/C][C]819.030448913272[/C][C]5.30360927251529[/C][/ROW]
[ROW][C]0.775[/C][C]819.56535560585[/C][C]5.10295970772731[/C][/ROW]
[ROW][C]0.78[/C][C]820.092396048697[/C][C]4.93742672422843[/C][/ROW]
[ROW][C]0.785[/C][C]820.615778665939[/C][C]4.81253724023185[/C][/ROW]
[ROW][C]0.79[/C][C]821.140204807813[/C][C]4.73395200654202[/C][/ROW]
[ROW][C]0.795[/C][C]821.670835544397[/C][C]4.7070738734714[/C][/ROW]
[ROW][C]0.8[/C][C]822.213243355808[/C][C]4.73565455453073[/C][/ROW]
[ROW][C]0.805[/C][C]822.773347528063[/C][C]4.82285897571997[/C][/ROW]
[ROW][C]0.81[/C][C]823.357332496768[/C][C]4.97010659150307[/C][/ROW]
[ROW][C]0.815[/C][C]823.971548916933[/C][C]5.17709823482325[/C][/ROW]
[ROW][C]0.82[/C][C]824.622397856564[/C][C]5.4421431822766[/C][/ROW]
[ROW][C]0.825[/C][C]825.316199185248[/C][C]5.7614230396368[/C][/ROW]
[ROW][C]0.83[/C][C]826.05904592064[/C][C]6.1293885695209[/C][/ROW]
[ROW][C]0.835[/C][C]826.85664696688[/C][C]6.54016888641548[/C][/ROW]
[ROW][C]0.84[/C][C]827.714161295057[/C][C]6.98615271569429[/C][/ROW]
[ROW][C]0.845[/C][C]828.636027153825[/C][C]7.45830284315895[/C][/ROW]
[ROW][C]0.85[/C][C]829.625790356244[/C][C]7.94739044309288[/C][/ROW]
[ROW][C]0.855[/C][C]830.685936092882[/C][C]8.44217333427395[/C][/ROW]
[ROW][C]0.86[/C][C]831.817729130309[/C][C]8.93205761238911[/C][/ROW]
[ROW][C]0.865[/C][C]833.021067760247[/C][C]9.40527613548134[/C][/ROW]
[ROW][C]0.87[/C][C]834.294357584742[/C][C]9.8489145572577[/C][/ROW]
[ROW][C]0.875[/C][C]835.634412283576[/C][C]10.2509768832435[/C][/ROW]
[ROW][C]0.88[/C][C]837.036390025392[/C][C]10.5989789762552[/C][/ROW]
[ROW][C]0.885[/C][C]838.493776226494[/C][C]10.8812937374097[/C][/ROW]
[ROW][C]0.89[/C][C]839.998425933283[/C][C]11.0865330726691[/C][/ROW]
[ROW][C]0.895[/C][C]841.540682110205[/C][C]11.2045261158841[/C][/ROW]
[ROW][C]0.9[/C][C]843.109589331687[/C][C]11.2262403350075[/C][/ROW]
[ROW][C]0.905[/C][C]844.693225411759[/C][C]11.1454378180452[/C][/ROW]
[ROW][C]0.91[/C][C]846.279175712741[/C][C]10.9579339662805[/C][/ROW]
[ROW][C]0.915[/C][C]847.855175179445[/C][C]10.6628784314356[/C][/ROW]
[ROW][C]0.92[/C][C]849.409939720068[/C][C]10.2641198100154[/C][/ROW]
[ROW][C]0.925[/C][C]850.934198312338[/C][C]9.76986983218682[/C][/ROW]
[ROW][C]0.93[/C][C]852.42191517653[/C][C]9.1949736230635[/C][/ROW]
[ROW][C]0.935[/C][C]853.871650179006[/C][C]8.56034515997121[/C][/ROW]
[ROW][C]0.94[/C][C]855.287935901219[/C][C]7.89479315324193[/C][/ROW]
[ROW][C]0.945[/C][C]856.682442282857[/C][C]7.23628455430859[/C][/ROW]
[ROW][C]0.95[/C][C]858.07455104487[/C][C]6.6321658688548[/C][/ROW]
[ROW][C]0.955[/C][C]859.490785397898[/C][C]6.14182445751223[/C][/ROW]
[ROW][C]0.96[/C][C]860.962381449277[/C][C]5.83544300594563[/C][/ROW]
[ROW][C]0.965[/C][C]862.520241930319[/C][C]5.78411786190522[/C][/ROW]
[ROW][C]0.97[/C][C]864.186735672533[/C][C]6.03996740840733[/C][/ROW]
[ROW][C]0.975[/C][C]865.964495077077[/C][C]6.61059500779796[/C][/ROW]
[ROW][C]0.98[/C][C]867.823687331636[/C][C]7.45048653663464[/C][/ROW]
[ROW][C]0.985[/C][C]869.691185598953[/C][C]8.46705013861976[/C][/ROW]
[ROW][C]0.99[/C][C]871.447238870993[/C][C]9.53226875644113[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18820&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18820&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
0.01675.46381290695211.3882878705528
0.015677.8996231910311.4296435321092
0.02680.67042819652611.6384313900358
0.025683.63850247952612.0003097129534
0.03686.69827650117812.4681451150461
0.035689.77778090248312.9850438005453
0.04692.83253280420913.4971040506093
0.045695.83689529071713.9594649304161
0.05698.77607288325814.332556912193
0.055701.64018497734314.5865865896144
0.06704.42067241876714.6990480338920
0.065707.1086589461114.6606065766900
0.07709.69466667893814.4705851573068
0.075712.16910351544614.1392226538821
0.08714.5230662147313.6837456626412
0.085716.74915251416813.1277297768037
0.09718.84210726780812.4972189183619
0.095720.79922679651611.8190370191701
0.1722.62051217102711.1188421589337
0.105724.30860157306410.4200414300035
0.11725.8685310910789.74326716175797
0.115727.3073786142529.1049666048345
0.12728.6338420402498.51864435676962
0.125729.8577947681897.99425922087373
0.13730.989851304247.53812097034182
0.135732.0409657395217.15538538223518
0.14733.0220770679466.84745154439505
0.145733.9438083655076.61288293389242
0.15734.8162218523466.44810497197299
0.155735.6486285936086.34690796038079
0.16736.4494496896826.3022377219496
0.165737.2261248406886.3060587517809
0.17737.9850637628156.34828668239236
0.175738.7316357912156.41893049227089
0.18739.4701929346426.50941626990492
0.185740.2041215570366.61047260137492
0.19740.9359177329426.71670217677066
0.195741.6672811884236.8201585528284
0.2742.3992226521646.917647942829
0.205743.1321794590177.00370806271243
0.21743.8661344136297.07794301843258
0.215744.6007332562637.138094883323
0.22745.3353965739297.18544532691154
0.225746.0694226436587.2192582051404
0.23746.802078440957.24084157261227
0.235747.5326768462797.25416555818048
0.24748.2606388845477.25931886836656
0.245748.985540589227.26116495627695
0.25749.7071447556047.26194561515112
0.255750.4254184087547.26392251634574
0.26751.1405372454167.26976253942335
0.265751.8528786131957.28247182342437
0.27752.563004770467.30444127422897
0.275753.2716382424667.33681573213714
0.28753.9796310727047.38033980057111
0.285754.6879296856887.43627530190814
0.29755.3975369505597.50602535385405
0.295756.109472883567.58751734992028
0.3756.824735268017.68127896323768
0.305757.5442613145687.78617532731003
0.31758.2688913396567.89999638814203
0.315758.9993353090348.02070259623769
0.32759.7361429762688.14753511854092
0.325760.4796782394858.27564902831595
0.33761.2300982399668.40383747119244
0.335761.9873376280978.52898769210867
0.34762.751098321688.64741158855402
0.345763.5208449752568.75741472748735
0.35764.2958062652688.85436445031655
0.355765.0749819744718.93544254672901
0.36765.8571557316029.00003744121006
0.365766.6409131320519.04314568664278
0.37767.424664836179.06553614388708
0.375768.2066741188629.06308740958274
0.38768.9850882321489.0356415576328
0.385769.7579728463968.98287378172664
0.39770.523348768.90361648125559
0.395771.2792300149388.79759811806946
0.4772.0236625289448.66736628883144
0.405772.75476235518.5121129833425
0.41773.4707527063478.33329110427793
0.415774.1699989341268.1342336638381
0.42774.8510407249397.91598549300244
0.425775.5126208724957.68182156736006
0.43776.1537100923557.43421087810419
0.435776.77352746617.17607184153636
0.44777.3715562282526.91178335196328
0.445777.9475547365886.64385904267036
0.45778.5015625906176.37564935447624
0.455779.033901979396.11129995020634
0.46779.5451744447455.85308079675813
0.465780.0362533365535.60659567136841
0.47780.5082723099735.3739863310271
0.475780.9626102699325.15718432539058
0.48781.4008732042324.96185981512494
0.485781.8248733644424.78832287581543
0.49782.2366062541164.64116228316902
0.495782.6382258691774.52188030242019
0.5783.0320186081264.43183498519893
0.505783.4203762334694.37350399412888
0.51783.8057682239934.34848911009051
0.515784.190713813994.35511617431863
0.52784.5777539737874.39582073501834
0.525784.9694235491784.46884642162223
0.53785.3682237482344.57180455709739
0.535785.776595144144.70662735361423
0.54786.1968913532784.86920721026598
0.545786.6313535484665.05759116410603
0.55787.082085977155.27161460224894
0.555787.5510326713935.50532785507299
0.56788.039955558065.75906615621699
0.565788.5504142003886.02751873726359
0.57789.0837474226886.30958406048496
0.575789.641057084746.60059559481496
0.58790.2231942783446.89863823544088
0.585790.8307482128747.19950394065009
0.59791.4640380378067.49995711701858
0.595792.1231078171547.79694828717793
0.6792.8077248240528.08808710891694
0.605793.517381264468.36886623722913
0.61794.2512994698538.63650102924226
0.615795.0084405228378.88808320125319
0.62795.7875162009419.12084741558657
0.625796.5870040466919.33250895110403
0.63797.405165300749.5204847173874
0.635798.2400653735939.68366888579435
0.64799.0895964838419.81928935697481
0.645799.9515020597329.92588124054243
0.65800.82340248819610.0046311196389
0.655801.70282180199610.0519780088847
0.66802.58721492105710.0690617424005
0.665803.47399510691810.0556865887782
0.67804.36056134699810.0116566651650
0.675805.2443254548019.93803035017444
0.68806.1227387490449.83516441792155
0.685806.9933182544929.70418921697924
0.69807.85367244529.54671395799513
0.695808.7015266218889.36387599313893
0.7809.5347480746079.15760561350764
0.705810.3513712251668.93092027964724
0.71811.1496229669898.6843637275048
0.715811.9279484196198.42082644364717
0.72812.6850372882328.14299065562231
0.725813.419850963167.85412692203112
0.73814.1316504094027.55633334404133
0.735814.8200247811117.25348882559288
0.74815.4849205521366.94887255973641
0.745816.1266707829546.64609600418119
0.75816.7460239507526.34862428355125
0.755817.344171558516.06104582379377
0.76817.92277351865.78786245485399
0.765818.4839800865045.53339169679229
0.77819.0304489132725.30360927251529
0.775819.565355605855.10295970772731
0.78820.0923960486974.93742672422843
0.785820.6157786659394.81253724023185
0.79821.1402048078134.73395200654202
0.795821.6708355443974.7070738734714
0.8822.2132433558084.73565455453073
0.805822.7733475280634.82285897571997
0.81823.3573324967684.97010659150307
0.815823.9715489169335.17709823482325
0.82824.6223978565645.4421431822766
0.825825.3161991852485.7614230396368
0.83826.059045920646.1293885695209
0.835826.856646966886.54016888641548
0.84827.7141612950576.98615271569429
0.845828.6360271538257.45830284315895
0.85829.6257903562447.94739044309288
0.855830.6859360928828.44217333427395
0.86831.8177291303098.93205761238911
0.865833.0210677602479.40527613548134
0.87834.2943575847429.8489145572577
0.875835.63441228357610.2509768832435
0.88837.03639002539210.5989789762552
0.885838.49377622649410.8812937374097
0.89839.99842593328311.0865330726691
0.895841.54068211020511.2045261158841
0.9843.10958933168711.2262403350075
0.905844.69322541175911.1454378180452
0.91846.27917571274110.9579339662805
0.915847.85517517944510.6628784314356
0.92849.40993972006810.2641198100154
0.925850.9341983123389.76986983218682
0.93852.421915176539.1949736230635
0.935853.8716501790068.56034515997121
0.94855.2879359012197.89479315324193
0.945856.6824422828577.23628455430859
0.95858.074551044876.6321658688548
0.955859.4907853978986.14182445751223
0.96860.9623814492775.83544300594563
0.965862.5202419303195.78411786190522
0.97864.1867356725336.03996740840733
0.975865.9644950770776.61059500779796
0.98867.8236873316367.45048653663464
0.985869.6911855989538.46705013861976
0.99871.4472388709939.53226875644113


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')