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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 26 May 2015 20:06:32 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/26/t1432667321l9l0d3pwuecb8dr.htm/, Retrieved Tue, 30 Apr 2024 18:12:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279429, Retrieved Tue, 30 Apr 2024 18:12:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [] [2015-02-12 17:36:42] [1f4ce71c1a7ae502d60225fda197c28f]
- RMPD    [Harrell-Davis Quantiles] [] [2015-05-26 19:06:32] [c6da619eabbd864125b02146bc2bbd84] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.5469
1.5501
1.5494
1.5475
1.5449
1.5391
1.5578
1.5528
1.5496
1.549
1.5449
1.5479
1.5494
1.558
1.5691
1.5748
1.5564
1.5601
1.5687
1.5775
1.5841
1.5898
1.5922
1.5969
1.6155
1.6212
1.6124
1.6375
1.6506
1.6543
1.6567
1.6383
1.6475
1.6706
1.6485
1.6592
1.6203
1.608
1.572
1.5964
1.6247
1.6139
1.6193
1.6212
1.5942
1.5194
1.5162
1.5393
1.4935
1.4904
1.5083
1.5147
1.5118
1.5148
1.5202
1.5236
1.5148
1.5138
1.5105
1.502
1.4765
1.4671
1.4482
1.4337
1.4181
1.3767
1.346
1.3413
1.3089
1.3452
1.3442
1.2811
1.2779
1.2974
1.2867
1.2977
1.2537
1.2092
1.1766
1.1203
1.2005
1.2295
1.2307
1.2276
1.2108
1.2071
1.2061
1.2023
1.2012
1.2011
1.2011
1.2011
1.2089
1.2098
1.2052
1.2091
1.2288
1.2298
1.2266
1.2199
1.2418
1.2322
1.2366
1.2338
1.2338
1.2316
1.2316
1.2245

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279429&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279429&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279429&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.146792969692370.0397963144609848
0.021.175425375119890.0216700832140798
0.031.191506970198220.00990833504893698
0.041.198294146429460.00410603791650336
0.051.200991337801370.00223535177143686
0.061.202384016527060.00229613503904752
0.071.203543272261660.0027739893642264
0.081.204771261618060.00321642944659927
0.091.206111621408480.00362221664131125
0.11.207567362929350.00413380202791312
0.111.209166377056150.00486162021488903
0.121.210954307122140.00578028882543857
0.131.21296147413990.00673589849756417
0.141.215174140706490.0075196466805423
0.151.217526919859470.00795219444585129
0.161.219919134824360.0079746881964576
0.171.222246627384610.00763886369920675
0.181.224435624507040.00712231573561406
0.191.226467333804790.00666659663482731
0.21.22838800412050.00655384187455251
0.211.230305152196330.00704144491364282
0.221.232373890067260.00829658198764993
0.231.23477765767410.0103647582669535
0.241.237706688317270.0132010868567086
0.251.241336784735190.0166928665942798
0.261.245811011275170.020660711431317
0.271.251227187036160.0249118152974828
0.281.25763368184070.0292428189532538
0.291.265034462354070.0335077098945435
0.31.273401893999770.0376188455515132
0.311.282693389983290.0415818948572429
0.321.29286663714940.0454468959095107
0.331.303888430727720.0492836960163077
0.341.315734059634470.0531176529745969
0.351.328377064363370.0569025362552021
0.361.341772129769530.0604880071063947
0.371.355836022050980.0636296175748656
0.381.370432266580580.0660339900689449
0.391.385364513857090.0673903461993809
0.41.400381477087840.0674514672532927
0.411.415193509727230.0660859272804445
0.421.429498092810620.0632850027147638
0.431.443009480630340.0592025731239082
0.441.455487021445820.0541053972006375
0.451.466757320052610.0483436410381357
0.461.476727099690590.0423069555906586
0.471.485385735032230.0363724772876207
0.481.49279833029760.0308632109270965
0.491.499091484520010.0260294160705003
0.51.504434416201470.0220421867358927
0.511.509018079735090.0189718269183585
0.521.513034583285510.0168022730688465
0.531.51665885324520.0154290063310667
0.541.520034177185820.0146691578012611
0.551.52326293822620.0142946441516503
0.561.526403400288990.0140713648152242
0.571.529472725342240.0138137889833689
0.581.532455530531740.013384880734278
0.591.535316391385220.0127289432744396
0.61.538014012264510.0118526867623348
0.611.540514539463610.0108200519531602
0.621.542801787844870.00974132831142225
0.631.544882922098220.00873286823127075
0.641.546789165633990.00791031038986837
0.651.548572124059490.00737415062514266
0.661.550297058328750.00716731330636765
0.671.552034784029930.00729685608532575
0.681.553853798986440.00771660831342793
0.691.555813850542530.00836264665673865
0.71.557961602121140.0091574704521114
0.711.560328505873740.0100223622155928
0.721.562930564078620.0108954066216417
0.731.56576944756750.0117224478311846
0.741.568834453875610.012454991937278
0.751.572104970153070.0130615074588236
0.761.575553308404090.0135216311628173
0.771.579147810120760.0138244667049499
0.781.58285585248130.0139763095011371
0.791.586645934975490.0139913100516217
0.81.59048778466410.0138878356889633
0.811.594349921279510.0136693625640793
0.821.59819562120990.0133195872759423
0.831.601980258911910.0128040898763098
0.841.60565436219160.0120959583178411
0.851.609175906706350.0112187963473608
0.861.612531533897170.0102788725007228
0.871.615760089715840.00947249607629769
0.881.618965590191630.00904430757279859
0.891.622304563314910.00916417189916236
0.91.625939313245440.0097744966787292
0.911.629965950722240.0105352587108864
0.921.634348606533560.0109635299299882
0.931.638903868019560.0106640072434554
0.941.643363722582180.00954912343611205
0.951.64749996448390.00790777823693638
0.961.651261997560010.00625311805084719
0.971.654938275789360.00508243722820101
0.981.659365800781810.00518705632172865
0.991.665360912713640.0078513171701185

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.14679296969237 & 0.0397963144609848 \tabularnewline
0.02 & 1.17542537511989 & 0.0216700832140798 \tabularnewline
0.03 & 1.19150697019822 & 0.00990833504893698 \tabularnewline
0.04 & 1.19829414642946 & 0.00410603791650336 \tabularnewline
0.05 & 1.20099133780137 & 0.00223535177143686 \tabularnewline
0.06 & 1.20238401652706 & 0.00229613503904752 \tabularnewline
0.07 & 1.20354327226166 & 0.0027739893642264 \tabularnewline
0.08 & 1.20477126161806 & 0.00321642944659927 \tabularnewline
0.09 & 1.20611162140848 & 0.00362221664131125 \tabularnewline
0.1 & 1.20756736292935 & 0.00413380202791312 \tabularnewline
0.11 & 1.20916637705615 & 0.00486162021488903 \tabularnewline
0.12 & 1.21095430712214 & 0.00578028882543857 \tabularnewline
0.13 & 1.2129614741399 & 0.00673589849756417 \tabularnewline
0.14 & 1.21517414070649 & 0.0075196466805423 \tabularnewline
0.15 & 1.21752691985947 & 0.00795219444585129 \tabularnewline
0.16 & 1.21991913482436 & 0.0079746881964576 \tabularnewline
0.17 & 1.22224662738461 & 0.00763886369920675 \tabularnewline
0.18 & 1.22443562450704 & 0.00712231573561406 \tabularnewline
0.19 & 1.22646733380479 & 0.00666659663482731 \tabularnewline
0.2 & 1.2283880041205 & 0.00655384187455251 \tabularnewline
0.21 & 1.23030515219633 & 0.00704144491364282 \tabularnewline
0.22 & 1.23237389006726 & 0.00829658198764993 \tabularnewline
0.23 & 1.2347776576741 & 0.0103647582669535 \tabularnewline
0.24 & 1.23770668831727 & 0.0132010868567086 \tabularnewline
0.25 & 1.24133678473519 & 0.0166928665942798 \tabularnewline
0.26 & 1.24581101127517 & 0.020660711431317 \tabularnewline
0.27 & 1.25122718703616 & 0.0249118152974828 \tabularnewline
0.28 & 1.2576336818407 & 0.0292428189532538 \tabularnewline
0.29 & 1.26503446235407 & 0.0335077098945435 \tabularnewline
0.3 & 1.27340189399977 & 0.0376188455515132 \tabularnewline
0.31 & 1.28269338998329 & 0.0415818948572429 \tabularnewline
0.32 & 1.2928666371494 & 0.0454468959095107 \tabularnewline
0.33 & 1.30388843072772 & 0.0492836960163077 \tabularnewline
0.34 & 1.31573405963447 & 0.0531176529745969 \tabularnewline
0.35 & 1.32837706436337 & 0.0569025362552021 \tabularnewline
0.36 & 1.34177212976953 & 0.0604880071063947 \tabularnewline
0.37 & 1.35583602205098 & 0.0636296175748656 \tabularnewline
0.38 & 1.37043226658058 & 0.0660339900689449 \tabularnewline
0.39 & 1.38536451385709 & 0.0673903461993809 \tabularnewline
0.4 & 1.40038147708784 & 0.0674514672532927 \tabularnewline
0.41 & 1.41519350972723 & 0.0660859272804445 \tabularnewline
0.42 & 1.42949809281062 & 0.0632850027147638 \tabularnewline
0.43 & 1.44300948063034 & 0.0592025731239082 \tabularnewline
0.44 & 1.45548702144582 & 0.0541053972006375 \tabularnewline
0.45 & 1.46675732005261 & 0.0483436410381357 \tabularnewline
0.46 & 1.47672709969059 & 0.0423069555906586 \tabularnewline
0.47 & 1.48538573503223 & 0.0363724772876207 \tabularnewline
0.48 & 1.4927983302976 & 0.0308632109270965 \tabularnewline
0.49 & 1.49909148452001 & 0.0260294160705003 \tabularnewline
0.5 & 1.50443441620147 & 0.0220421867358927 \tabularnewline
0.51 & 1.50901807973509 & 0.0189718269183585 \tabularnewline
0.52 & 1.51303458328551 & 0.0168022730688465 \tabularnewline
0.53 & 1.5166588532452 & 0.0154290063310667 \tabularnewline
0.54 & 1.52003417718582 & 0.0146691578012611 \tabularnewline
0.55 & 1.5232629382262 & 0.0142946441516503 \tabularnewline
0.56 & 1.52640340028899 & 0.0140713648152242 \tabularnewline
0.57 & 1.52947272534224 & 0.0138137889833689 \tabularnewline
0.58 & 1.53245553053174 & 0.013384880734278 \tabularnewline
0.59 & 1.53531639138522 & 0.0127289432744396 \tabularnewline
0.6 & 1.53801401226451 & 0.0118526867623348 \tabularnewline
0.61 & 1.54051453946361 & 0.0108200519531602 \tabularnewline
0.62 & 1.54280178784487 & 0.00974132831142225 \tabularnewline
0.63 & 1.54488292209822 & 0.00873286823127075 \tabularnewline
0.64 & 1.54678916563399 & 0.00791031038986837 \tabularnewline
0.65 & 1.54857212405949 & 0.00737415062514266 \tabularnewline
0.66 & 1.55029705832875 & 0.00716731330636765 \tabularnewline
0.67 & 1.55203478402993 & 0.00729685608532575 \tabularnewline
0.68 & 1.55385379898644 & 0.00771660831342793 \tabularnewline
0.69 & 1.55581385054253 & 0.00836264665673865 \tabularnewline
0.7 & 1.55796160212114 & 0.0091574704521114 \tabularnewline
0.71 & 1.56032850587374 & 0.0100223622155928 \tabularnewline
0.72 & 1.56293056407862 & 0.0108954066216417 \tabularnewline
0.73 & 1.5657694475675 & 0.0117224478311846 \tabularnewline
0.74 & 1.56883445387561 & 0.012454991937278 \tabularnewline
0.75 & 1.57210497015307 & 0.0130615074588236 \tabularnewline
0.76 & 1.57555330840409 & 0.0135216311628173 \tabularnewline
0.77 & 1.57914781012076 & 0.0138244667049499 \tabularnewline
0.78 & 1.5828558524813 & 0.0139763095011371 \tabularnewline
0.79 & 1.58664593497549 & 0.0139913100516217 \tabularnewline
0.8 & 1.5904877846641 & 0.0138878356889633 \tabularnewline
0.81 & 1.59434992127951 & 0.0136693625640793 \tabularnewline
0.82 & 1.5981956212099 & 0.0133195872759423 \tabularnewline
0.83 & 1.60198025891191 & 0.0128040898763098 \tabularnewline
0.84 & 1.6056543621916 & 0.0120959583178411 \tabularnewline
0.85 & 1.60917590670635 & 0.0112187963473608 \tabularnewline
0.86 & 1.61253153389717 & 0.0102788725007228 \tabularnewline
0.87 & 1.61576008971584 & 0.00947249607629769 \tabularnewline
0.88 & 1.61896559019163 & 0.00904430757279859 \tabularnewline
0.89 & 1.62230456331491 & 0.00916417189916236 \tabularnewline
0.9 & 1.62593931324544 & 0.0097744966787292 \tabularnewline
0.91 & 1.62996595072224 & 0.0105352587108864 \tabularnewline
0.92 & 1.63434860653356 & 0.0109635299299882 \tabularnewline
0.93 & 1.63890386801956 & 0.0106640072434554 \tabularnewline
0.94 & 1.64336372258218 & 0.00954912343611205 \tabularnewline
0.95 & 1.6474999644839 & 0.00790777823693638 \tabularnewline
0.96 & 1.65126199756001 & 0.00625311805084719 \tabularnewline
0.97 & 1.65493827578936 & 0.00508243722820101 \tabularnewline
0.98 & 1.65936580078181 & 0.00518705632172865 \tabularnewline
0.99 & 1.66536091271364 & 0.0078513171701185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279429&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]1.14679296969237[/C][C]0.0397963144609848[/C][/ROW]
[ROW][C]0.02[/C][C]1.17542537511989[/C][C]0.0216700832140798[/C][/ROW]
[ROW][C]0.03[/C][C]1.19150697019822[/C][C]0.00990833504893698[/C][/ROW]
[ROW][C]0.04[/C][C]1.19829414642946[/C][C]0.00410603791650336[/C][/ROW]
[ROW][C]0.05[/C][C]1.20099133780137[/C][C]0.00223535177143686[/C][/ROW]
[ROW][C]0.06[/C][C]1.20238401652706[/C][C]0.00229613503904752[/C][/ROW]
[ROW][C]0.07[/C][C]1.20354327226166[/C][C]0.0027739893642264[/C][/ROW]
[ROW][C]0.08[/C][C]1.20477126161806[/C][C]0.00321642944659927[/C][/ROW]
[ROW][C]0.09[/C][C]1.20611162140848[/C][C]0.00362221664131125[/C][/ROW]
[ROW][C]0.1[/C][C]1.20756736292935[/C][C]0.00413380202791312[/C][/ROW]
[ROW][C]0.11[/C][C]1.20916637705615[/C][C]0.00486162021488903[/C][/ROW]
[ROW][C]0.12[/C][C]1.21095430712214[/C][C]0.00578028882543857[/C][/ROW]
[ROW][C]0.13[/C][C]1.2129614741399[/C][C]0.00673589849756417[/C][/ROW]
[ROW][C]0.14[/C][C]1.21517414070649[/C][C]0.0075196466805423[/C][/ROW]
[ROW][C]0.15[/C][C]1.21752691985947[/C][C]0.00795219444585129[/C][/ROW]
[ROW][C]0.16[/C][C]1.21991913482436[/C][C]0.0079746881964576[/C][/ROW]
[ROW][C]0.17[/C][C]1.22224662738461[/C][C]0.00763886369920675[/C][/ROW]
[ROW][C]0.18[/C][C]1.22443562450704[/C][C]0.00712231573561406[/C][/ROW]
[ROW][C]0.19[/C][C]1.22646733380479[/C][C]0.00666659663482731[/C][/ROW]
[ROW][C]0.2[/C][C]1.2283880041205[/C][C]0.00655384187455251[/C][/ROW]
[ROW][C]0.21[/C][C]1.23030515219633[/C][C]0.00704144491364282[/C][/ROW]
[ROW][C]0.22[/C][C]1.23237389006726[/C][C]0.00829658198764993[/C][/ROW]
[ROW][C]0.23[/C][C]1.2347776576741[/C][C]0.0103647582669535[/C][/ROW]
[ROW][C]0.24[/C][C]1.23770668831727[/C][C]0.0132010868567086[/C][/ROW]
[ROW][C]0.25[/C][C]1.24133678473519[/C][C]0.0166928665942798[/C][/ROW]
[ROW][C]0.26[/C][C]1.24581101127517[/C][C]0.020660711431317[/C][/ROW]
[ROW][C]0.27[/C][C]1.25122718703616[/C][C]0.0249118152974828[/C][/ROW]
[ROW][C]0.28[/C][C]1.2576336818407[/C][C]0.0292428189532538[/C][/ROW]
[ROW][C]0.29[/C][C]1.26503446235407[/C][C]0.0335077098945435[/C][/ROW]
[ROW][C]0.3[/C][C]1.27340189399977[/C][C]0.0376188455515132[/C][/ROW]
[ROW][C]0.31[/C][C]1.28269338998329[/C][C]0.0415818948572429[/C][/ROW]
[ROW][C]0.32[/C][C]1.2928666371494[/C][C]0.0454468959095107[/C][/ROW]
[ROW][C]0.33[/C][C]1.30388843072772[/C][C]0.0492836960163077[/C][/ROW]
[ROW][C]0.34[/C][C]1.31573405963447[/C][C]0.0531176529745969[/C][/ROW]
[ROW][C]0.35[/C][C]1.32837706436337[/C][C]0.0569025362552021[/C][/ROW]
[ROW][C]0.36[/C][C]1.34177212976953[/C][C]0.0604880071063947[/C][/ROW]
[ROW][C]0.37[/C][C]1.35583602205098[/C][C]0.0636296175748656[/C][/ROW]
[ROW][C]0.38[/C][C]1.37043226658058[/C][C]0.0660339900689449[/C][/ROW]
[ROW][C]0.39[/C][C]1.38536451385709[/C][C]0.0673903461993809[/C][/ROW]
[ROW][C]0.4[/C][C]1.40038147708784[/C][C]0.0674514672532927[/C][/ROW]
[ROW][C]0.41[/C][C]1.41519350972723[/C][C]0.0660859272804445[/C][/ROW]
[ROW][C]0.42[/C][C]1.42949809281062[/C][C]0.0632850027147638[/C][/ROW]
[ROW][C]0.43[/C][C]1.44300948063034[/C][C]0.0592025731239082[/C][/ROW]
[ROW][C]0.44[/C][C]1.45548702144582[/C][C]0.0541053972006375[/C][/ROW]
[ROW][C]0.45[/C][C]1.46675732005261[/C][C]0.0483436410381357[/C][/ROW]
[ROW][C]0.46[/C][C]1.47672709969059[/C][C]0.0423069555906586[/C][/ROW]
[ROW][C]0.47[/C][C]1.48538573503223[/C][C]0.0363724772876207[/C][/ROW]
[ROW][C]0.48[/C][C]1.4927983302976[/C][C]0.0308632109270965[/C][/ROW]
[ROW][C]0.49[/C][C]1.49909148452001[/C][C]0.0260294160705003[/C][/ROW]
[ROW][C]0.5[/C][C]1.50443441620147[/C][C]0.0220421867358927[/C][/ROW]
[ROW][C]0.51[/C][C]1.50901807973509[/C][C]0.0189718269183585[/C][/ROW]
[ROW][C]0.52[/C][C]1.51303458328551[/C][C]0.0168022730688465[/C][/ROW]
[ROW][C]0.53[/C][C]1.5166588532452[/C][C]0.0154290063310667[/C][/ROW]
[ROW][C]0.54[/C][C]1.52003417718582[/C][C]0.0146691578012611[/C][/ROW]
[ROW][C]0.55[/C][C]1.5232629382262[/C][C]0.0142946441516503[/C][/ROW]
[ROW][C]0.56[/C][C]1.52640340028899[/C][C]0.0140713648152242[/C][/ROW]
[ROW][C]0.57[/C][C]1.52947272534224[/C][C]0.0138137889833689[/C][/ROW]
[ROW][C]0.58[/C][C]1.53245553053174[/C][C]0.013384880734278[/C][/ROW]
[ROW][C]0.59[/C][C]1.53531639138522[/C][C]0.0127289432744396[/C][/ROW]
[ROW][C]0.6[/C][C]1.53801401226451[/C][C]0.0118526867623348[/C][/ROW]
[ROW][C]0.61[/C][C]1.54051453946361[/C][C]0.0108200519531602[/C][/ROW]
[ROW][C]0.62[/C][C]1.54280178784487[/C][C]0.00974132831142225[/C][/ROW]
[ROW][C]0.63[/C][C]1.54488292209822[/C][C]0.00873286823127075[/C][/ROW]
[ROW][C]0.64[/C][C]1.54678916563399[/C][C]0.00791031038986837[/C][/ROW]
[ROW][C]0.65[/C][C]1.54857212405949[/C][C]0.00737415062514266[/C][/ROW]
[ROW][C]0.66[/C][C]1.55029705832875[/C][C]0.00716731330636765[/C][/ROW]
[ROW][C]0.67[/C][C]1.55203478402993[/C][C]0.00729685608532575[/C][/ROW]
[ROW][C]0.68[/C][C]1.55385379898644[/C][C]0.00771660831342793[/C][/ROW]
[ROW][C]0.69[/C][C]1.55581385054253[/C][C]0.00836264665673865[/C][/ROW]
[ROW][C]0.7[/C][C]1.55796160212114[/C][C]0.0091574704521114[/C][/ROW]
[ROW][C]0.71[/C][C]1.56032850587374[/C][C]0.0100223622155928[/C][/ROW]
[ROW][C]0.72[/C][C]1.56293056407862[/C][C]0.0108954066216417[/C][/ROW]
[ROW][C]0.73[/C][C]1.5657694475675[/C][C]0.0117224478311846[/C][/ROW]
[ROW][C]0.74[/C][C]1.56883445387561[/C][C]0.012454991937278[/C][/ROW]
[ROW][C]0.75[/C][C]1.57210497015307[/C][C]0.0130615074588236[/C][/ROW]
[ROW][C]0.76[/C][C]1.57555330840409[/C][C]0.0135216311628173[/C][/ROW]
[ROW][C]0.77[/C][C]1.57914781012076[/C][C]0.0138244667049499[/C][/ROW]
[ROW][C]0.78[/C][C]1.5828558524813[/C][C]0.0139763095011371[/C][/ROW]
[ROW][C]0.79[/C][C]1.58664593497549[/C][C]0.0139913100516217[/C][/ROW]
[ROW][C]0.8[/C][C]1.5904877846641[/C][C]0.0138878356889633[/C][/ROW]
[ROW][C]0.81[/C][C]1.59434992127951[/C][C]0.0136693625640793[/C][/ROW]
[ROW][C]0.82[/C][C]1.5981956212099[/C][C]0.0133195872759423[/C][/ROW]
[ROW][C]0.83[/C][C]1.60198025891191[/C][C]0.0128040898763098[/C][/ROW]
[ROW][C]0.84[/C][C]1.6056543621916[/C][C]0.0120959583178411[/C][/ROW]
[ROW][C]0.85[/C][C]1.60917590670635[/C][C]0.0112187963473608[/C][/ROW]
[ROW][C]0.86[/C][C]1.61253153389717[/C][C]0.0102788725007228[/C][/ROW]
[ROW][C]0.87[/C][C]1.61576008971584[/C][C]0.00947249607629769[/C][/ROW]
[ROW][C]0.88[/C][C]1.61896559019163[/C][C]0.00904430757279859[/C][/ROW]
[ROW][C]0.89[/C][C]1.62230456331491[/C][C]0.00916417189916236[/C][/ROW]
[ROW][C]0.9[/C][C]1.62593931324544[/C][C]0.0097744966787292[/C][/ROW]
[ROW][C]0.91[/C][C]1.62996595072224[/C][C]0.0105352587108864[/C][/ROW]
[ROW][C]0.92[/C][C]1.63434860653356[/C][C]0.0109635299299882[/C][/ROW]
[ROW][C]0.93[/C][C]1.63890386801956[/C][C]0.0106640072434554[/C][/ROW]
[ROW][C]0.94[/C][C]1.64336372258218[/C][C]0.00954912343611205[/C][/ROW]
[ROW][C]0.95[/C][C]1.6474999644839[/C][C]0.00790777823693638[/C][/ROW]
[ROW][C]0.96[/C][C]1.65126199756001[/C][C]0.00625311805084719[/C][/ROW]
[ROW][C]0.97[/C][C]1.65493827578936[/C][C]0.00508243722820101[/C][/ROW]
[ROW][C]0.98[/C][C]1.65936580078181[/C][C]0.00518705632172865[/C][/ROW]
[ROW][C]0.99[/C][C]1.66536091271364[/C][C]0.0078513171701185[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279429&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279429&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
0.011.146792969692370.0397963144609848
0.021.175425375119890.0216700832140798
0.031.191506970198220.00990833504893698
0.041.198294146429460.00410603791650336
0.051.200991337801370.00223535177143686
0.061.202384016527060.00229613503904752
0.071.203543272261660.0027739893642264
0.081.204771261618060.00321642944659927
0.091.206111621408480.00362221664131125
0.11.207567362929350.00413380202791312
0.111.209166377056150.00486162021488903
0.121.210954307122140.00578028882543857
0.131.21296147413990.00673589849756417
0.141.215174140706490.0075196466805423
0.151.217526919859470.00795219444585129
0.161.219919134824360.0079746881964576
0.171.222246627384610.00763886369920675
0.181.224435624507040.00712231573561406
0.191.226467333804790.00666659663482731
0.21.22838800412050.00655384187455251
0.211.230305152196330.00704144491364282
0.221.232373890067260.00829658198764993
0.231.23477765767410.0103647582669535
0.241.237706688317270.0132010868567086
0.251.241336784735190.0166928665942798
0.261.245811011275170.020660711431317
0.271.251227187036160.0249118152974828
0.281.25763368184070.0292428189532538
0.291.265034462354070.0335077098945435
0.31.273401893999770.0376188455515132
0.311.282693389983290.0415818948572429
0.321.29286663714940.0454468959095107
0.331.303888430727720.0492836960163077
0.341.315734059634470.0531176529745969
0.351.328377064363370.0569025362552021
0.361.341772129769530.0604880071063947
0.371.355836022050980.0636296175748656
0.381.370432266580580.0660339900689449
0.391.385364513857090.0673903461993809
0.41.400381477087840.0674514672532927
0.411.415193509727230.0660859272804445
0.421.429498092810620.0632850027147638
0.431.443009480630340.0592025731239082
0.441.455487021445820.0541053972006375
0.451.466757320052610.0483436410381357
0.461.476727099690590.0423069555906586
0.471.485385735032230.0363724772876207
0.481.49279833029760.0308632109270965
0.491.499091484520010.0260294160705003
0.51.504434416201470.0220421867358927
0.511.509018079735090.0189718269183585
0.521.513034583285510.0168022730688465
0.531.51665885324520.0154290063310667
0.541.520034177185820.0146691578012611
0.551.52326293822620.0142946441516503
0.561.526403400288990.0140713648152242
0.571.529472725342240.0138137889833689
0.581.532455530531740.013384880734278
0.591.535316391385220.0127289432744396
0.61.538014012264510.0118526867623348
0.611.540514539463610.0108200519531602
0.621.542801787844870.00974132831142225
0.631.544882922098220.00873286823127075
0.641.546789165633990.00791031038986837
0.651.548572124059490.00737415062514266
0.661.550297058328750.00716731330636765
0.671.552034784029930.00729685608532575
0.681.553853798986440.00771660831342793
0.691.555813850542530.00836264665673865
0.71.557961602121140.0091574704521114
0.711.560328505873740.0100223622155928
0.721.562930564078620.0108954066216417
0.731.56576944756750.0117224478311846
0.741.568834453875610.012454991937278
0.751.572104970153070.0130615074588236
0.761.575553308404090.0135216311628173
0.771.579147810120760.0138244667049499
0.781.58285585248130.0139763095011371
0.791.586645934975490.0139913100516217
0.81.59048778466410.0138878356889633
0.811.594349921279510.0136693625640793
0.821.59819562120990.0133195872759423
0.831.601980258911910.0128040898763098
0.841.60565436219160.0120959583178411
0.851.609175906706350.0112187963473608
0.861.612531533897170.0102788725007228
0.871.615760089715840.00947249607629769
0.881.618965590191630.00904430757279859
0.891.622304563314910.00916417189916236
0.91.625939313245440.0097744966787292
0.911.629965950722240.0105352587108864
0.921.634348606533560.0109635299299882
0.931.638903868019560.0106640072434554
0.941.643363722582180.00954912343611205
0.951.64749996448390.00790777823693638
0.961.651261997560010.00625311805084719
0.971.654938275789360.00508243722820101
0.981.659365800781810.00518705632172865
0.991.665360912713640.0078513171701185


Figures (Output of Computation)

Input Parameters & R Code

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