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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Mar 2010 06:15:19 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/08/t1268054418zoueo997jrjkiy1.htm/, Retrieved Fri, 28 Jan 2022 09:17:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74132, Retrieved Fri, 28 Jan 2022 09:17:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [leningen ECB perc...] [2010-03-08 13:15:19] [819ef9efcbdcdc4b312cf90f12d3a4d4] [Current]
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Dataseries X:
792108
472123
272128
992139
642162
352145
492169
92174
462193
92207
792222
72225
782230
52241
332266
902266
402287
812304
532313
802330
342322
222320
42314
252298
892323
392342
772330
982344
592342
662360
882362
942373
222371
632404
782475
372472
822461
142441
142435
742425
672393
302390
862379
772372
302370
452359
112353
442320
512322
192322
292303
962280
322321
362301
62288
812271
32259
72407
332399
712416
162432
652423
272420
642433
512435
722436
292453
812469
102444
122438
42476
702562




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=74132&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=74132&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74132&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
0.0135141.42232461118284.53163312535
0.0239455.80526485697479.6125441415
0.0344198.10043579818860.2956931077
0.0449172.857048482311278.5005180263
0.0554481.410400214413527.7663062880
0.0660138.827052311815271.5481911772
0.0766056.112718185316656.7762962996
0.0872141.69474934317952.3354267015
0.0978362.042511432419368.9593193818
0.184745.358991332321033.7396350139
0.1191360.836805491923025.517306381
0.1298297.479949547425396.8678289340
0.13105649.27859351128171.2581300136
0.14113504.73801141431329.7609993782
0.15121937.61712490234802.6265843674
0.16130997.59185771338467.6793484887
0.17140701.42359997542155.3260824812
0.18151026.14796025045660.9668367614
0.19161905.89577811148766.2209330948
0.2173233.50429997551267.552241783
0.21184867.27888178753004.0333581953
0.22196642.30399479153880.8303663941
0.23208384.80462903353881.006475547
0.24219927.47096973153064.6908198505
0.25231123.54385196851558.3598348856
0.26241857.82389911549535.830836575
0.27252053.47245463447196.1222221229
0.28261674.29987895944742.1693688403
0.29270722.97980661442364.0435387374
0.3279236.14934555540221.8507576418
0.31287277.60264958638443.0210653061
0.32294930.77522015637113.8147728977
0.33302291.50698058536284.2461768475
0.34309461.74131001335974.5081952628
0.35316544.44773933536181.1062174838
0.36323639.72632518236884.5648946207
0.37330841.82586133838053.8517054152
0.38338236.7245502139644.333073229
0.39345899.98425286541601.4277109796
0.4353894.76426573643852.2787018575
0.41362270.10361063146313.3954508981
0.42371059.77357149348890.3166706382
0.43380282.09288881151488.6731021764
0.44389941.04186094854024.7482248821
0.45400028.8046688556433.911868888
0.46410529.55204712858681.3815521842
0.47421423.92620665460765.1321548775
0.48432693.40317303162713.9023054826
0.49444323.57671553164577.6185423804
0.5456305.49637927866410.5163980968
0.51468634.51475419768251.9635426565
0.52481306.61204743370107.3541784265
0.53494312.76936719771933.922361849
0.54507632.51760421773640.9407629809
0.55521228.14995086975095.4934533571
0.56535041.13544334176146.4623650475
0.57548991.95529796776650.011648865
0.58562983.93767194076498.6845294451
0.59576910.81404086175645.4974431788
0.6590666.85264292674117.9433204666
0.61604157.75400412772017.7366152614
0.62617310.19840022469508.4776247385
0.63630078.10749988966787.8385913607
0.64642444.29959068564056.1865752227
0.65654417.1447938261477.6212423947
0.66666022.85170386259151.9486127132
0.67677294.90776567657101.4423032927
0.68688262.7594904555268.1170396431
0.69698941.94598009253537.9741930384
0.7709327.58222928451764.2906036777
0.71719392.41150134949807.008273009
0.72729089.75764688547557.5887737422
0.73738360.78903527544961.0832900454
0.74747144.73782425642026.0870785356
0.75755390.25942928438825.6764339058
0.76763066.07410790535483.0044256804
0.77770169.42837551232160.8710475211
0.78776731.65183435829035.0470821575
0.79782820.92911738826278.2697009421
0.8788543.00922124224051.8172281278
0.81794040.57948545722498.5937657466
0.82799491.25946605121747.6343824061
0.83805102.8347526521907.1020503999
0.84811103.18728850623029.3258124694
0.85817722.51166564425057.6430298825
0.86825167.82397623227782.1623246630
0.87833594.44867083330840.2955184488
0.88843084.24949022533780.3175368283
0.89853642.13419464336180.868564268
0.9865216.83190964537792.2881150081
0.91877738.19850748538631.090850004
0.92891146.93443215238932.6563818071
0.93905385.75114621238901.7585170305
0.94920335.67465213438387.5845059959
0.95935716.65939444736791.6796203357
0.96951005.08040864733385.5800961790
0.97965413.06932126327819.4535385792
0.98977909.16560216420545.2541922752
0.99987233.14177168813414.7140323624

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 35141.4223246111 & 8284.53163312535 \tabularnewline
0.02 & 39455.8052648569 & 7479.6125441415 \tabularnewline
0.03 & 44198.1004357981 & 8860.2956931077 \tabularnewline
0.04 & 49172.8570484823 & 11278.5005180263 \tabularnewline
0.05 & 54481.4104002144 & 13527.7663062880 \tabularnewline
0.06 & 60138.8270523118 & 15271.5481911772 \tabularnewline
0.07 & 66056.1127181853 & 16656.7762962996 \tabularnewline
0.08 & 72141.694749343 & 17952.3354267015 \tabularnewline
0.09 & 78362.0425114324 & 19368.9593193818 \tabularnewline
0.1 & 84745.3589913323 & 21033.7396350139 \tabularnewline
0.11 & 91360.8368054919 & 23025.517306381 \tabularnewline
0.12 & 98297.4799495474 & 25396.8678289340 \tabularnewline
0.13 & 105649.278593511 & 28171.2581300136 \tabularnewline
0.14 & 113504.738011414 & 31329.7609993782 \tabularnewline
0.15 & 121937.617124902 & 34802.6265843674 \tabularnewline
0.16 & 130997.591857713 & 38467.6793484887 \tabularnewline
0.17 & 140701.423599975 & 42155.3260824812 \tabularnewline
0.18 & 151026.147960250 & 45660.9668367614 \tabularnewline
0.19 & 161905.895778111 & 48766.2209330948 \tabularnewline
0.2 & 173233.504299975 & 51267.552241783 \tabularnewline
0.21 & 184867.278881787 & 53004.0333581953 \tabularnewline
0.22 & 196642.303994791 & 53880.8303663941 \tabularnewline
0.23 & 208384.804629033 & 53881.006475547 \tabularnewline
0.24 & 219927.470969731 & 53064.6908198505 \tabularnewline
0.25 & 231123.543851968 & 51558.3598348856 \tabularnewline
0.26 & 241857.823899115 & 49535.830836575 \tabularnewline
0.27 & 252053.472454634 & 47196.1222221229 \tabularnewline
0.28 & 261674.299878959 & 44742.1693688403 \tabularnewline
0.29 & 270722.979806614 & 42364.0435387374 \tabularnewline
0.3 & 279236.149345555 & 40221.8507576418 \tabularnewline
0.31 & 287277.602649586 & 38443.0210653061 \tabularnewline
0.32 & 294930.775220156 & 37113.8147728977 \tabularnewline
0.33 & 302291.506980585 & 36284.2461768475 \tabularnewline
0.34 & 309461.741310013 & 35974.5081952628 \tabularnewline
0.35 & 316544.447739335 & 36181.1062174838 \tabularnewline
0.36 & 323639.726325182 & 36884.5648946207 \tabularnewline
0.37 & 330841.825861338 & 38053.8517054152 \tabularnewline
0.38 & 338236.72455021 & 39644.333073229 \tabularnewline
0.39 & 345899.984252865 & 41601.4277109796 \tabularnewline
0.4 & 353894.764265736 & 43852.2787018575 \tabularnewline
0.41 & 362270.103610631 & 46313.3954508981 \tabularnewline
0.42 & 371059.773571493 & 48890.3166706382 \tabularnewline
0.43 & 380282.092888811 & 51488.6731021764 \tabularnewline
0.44 & 389941.041860948 & 54024.7482248821 \tabularnewline
0.45 & 400028.80466885 & 56433.911868888 \tabularnewline
0.46 & 410529.552047128 & 58681.3815521842 \tabularnewline
0.47 & 421423.926206654 & 60765.1321548775 \tabularnewline
0.48 & 432693.403173031 & 62713.9023054826 \tabularnewline
0.49 & 444323.576715531 & 64577.6185423804 \tabularnewline
0.5 & 456305.496379278 & 66410.5163980968 \tabularnewline
0.51 & 468634.514754197 & 68251.9635426565 \tabularnewline
0.52 & 481306.612047433 & 70107.3541784265 \tabularnewline
0.53 & 494312.769367197 & 71933.922361849 \tabularnewline
0.54 & 507632.517604217 & 73640.9407629809 \tabularnewline
0.55 & 521228.149950869 & 75095.4934533571 \tabularnewline
0.56 & 535041.135443341 & 76146.4623650475 \tabularnewline
0.57 & 548991.955297967 & 76650.011648865 \tabularnewline
0.58 & 562983.937671940 & 76498.6845294451 \tabularnewline
0.59 & 576910.814040861 & 75645.4974431788 \tabularnewline
0.6 & 590666.852642926 & 74117.9433204666 \tabularnewline
0.61 & 604157.754004127 & 72017.7366152614 \tabularnewline
0.62 & 617310.198400224 & 69508.4776247385 \tabularnewline
0.63 & 630078.107499889 & 66787.8385913607 \tabularnewline
0.64 & 642444.299590685 & 64056.1865752227 \tabularnewline
0.65 & 654417.14479382 & 61477.6212423947 \tabularnewline
0.66 & 666022.851703862 & 59151.9486127132 \tabularnewline
0.67 & 677294.907765676 & 57101.4423032927 \tabularnewline
0.68 & 688262.75949045 & 55268.1170396431 \tabularnewline
0.69 & 698941.945980092 & 53537.9741930384 \tabularnewline
0.7 & 709327.582229284 & 51764.2906036777 \tabularnewline
0.71 & 719392.411501349 & 49807.008273009 \tabularnewline
0.72 & 729089.757646885 & 47557.5887737422 \tabularnewline
0.73 & 738360.789035275 & 44961.0832900454 \tabularnewline
0.74 & 747144.737824256 & 42026.0870785356 \tabularnewline
0.75 & 755390.259429284 & 38825.6764339058 \tabularnewline
0.76 & 763066.074107905 & 35483.0044256804 \tabularnewline
0.77 & 770169.428375512 & 32160.8710475211 \tabularnewline
0.78 & 776731.651834358 & 29035.0470821575 \tabularnewline
0.79 & 782820.929117388 & 26278.2697009421 \tabularnewline
0.8 & 788543.009221242 & 24051.8172281278 \tabularnewline
0.81 & 794040.579485457 & 22498.5937657466 \tabularnewline
0.82 & 799491.259466051 & 21747.6343824061 \tabularnewline
0.83 & 805102.83475265 & 21907.1020503999 \tabularnewline
0.84 & 811103.187288506 & 23029.3258124694 \tabularnewline
0.85 & 817722.511665644 & 25057.6430298825 \tabularnewline
0.86 & 825167.823976232 & 27782.1623246630 \tabularnewline
0.87 & 833594.448670833 & 30840.2955184488 \tabularnewline
0.88 & 843084.249490225 & 33780.3175368283 \tabularnewline
0.89 & 853642.134194643 & 36180.868564268 \tabularnewline
0.9 & 865216.831909645 & 37792.2881150081 \tabularnewline
0.91 & 877738.198507485 & 38631.090850004 \tabularnewline
0.92 & 891146.934432152 & 38932.6563818071 \tabularnewline
0.93 & 905385.751146212 & 38901.7585170305 \tabularnewline
0.94 & 920335.674652134 & 38387.5845059959 \tabularnewline
0.95 & 935716.659394447 & 36791.6796203357 \tabularnewline
0.96 & 951005.080408647 & 33385.5800961790 \tabularnewline
0.97 & 965413.069321263 & 27819.4535385792 \tabularnewline
0.98 & 977909.165602164 & 20545.2541922752 \tabularnewline
0.99 & 987233.141771688 & 13414.7140323624 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74132&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]35141.4223246111[/C][C]8284.53163312535[/C][/ROW]
[ROW][C]0.02[/C][C]39455.8052648569[/C][C]7479.6125441415[/C][/ROW]
[ROW][C]0.03[/C][C]44198.1004357981[/C][C]8860.2956931077[/C][/ROW]
[ROW][C]0.04[/C][C]49172.8570484823[/C][C]11278.5005180263[/C][/ROW]
[ROW][C]0.05[/C][C]54481.4104002144[/C][C]13527.7663062880[/C][/ROW]
[ROW][C]0.06[/C][C]60138.8270523118[/C][C]15271.5481911772[/C][/ROW]
[ROW][C]0.07[/C][C]66056.1127181853[/C][C]16656.7762962996[/C][/ROW]
[ROW][C]0.08[/C][C]72141.694749343[/C][C]17952.3354267015[/C][/ROW]
[ROW][C]0.09[/C][C]78362.0425114324[/C][C]19368.9593193818[/C][/ROW]
[ROW][C]0.1[/C][C]84745.3589913323[/C][C]21033.7396350139[/C][/ROW]
[ROW][C]0.11[/C][C]91360.8368054919[/C][C]23025.517306381[/C][/ROW]
[ROW][C]0.12[/C][C]98297.4799495474[/C][C]25396.8678289340[/C][/ROW]
[ROW][C]0.13[/C][C]105649.278593511[/C][C]28171.2581300136[/C][/ROW]
[ROW][C]0.14[/C][C]113504.738011414[/C][C]31329.7609993782[/C][/ROW]
[ROW][C]0.15[/C][C]121937.617124902[/C][C]34802.6265843674[/C][/ROW]
[ROW][C]0.16[/C][C]130997.591857713[/C][C]38467.6793484887[/C][/ROW]
[ROW][C]0.17[/C][C]140701.423599975[/C][C]42155.3260824812[/C][/ROW]
[ROW][C]0.18[/C][C]151026.147960250[/C][C]45660.9668367614[/C][/ROW]
[ROW][C]0.19[/C][C]161905.895778111[/C][C]48766.2209330948[/C][/ROW]
[ROW][C]0.2[/C][C]173233.504299975[/C][C]51267.552241783[/C][/ROW]
[ROW][C]0.21[/C][C]184867.278881787[/C][C]53004.0333581953[/C][/ROW]
[ROW][C]0.22[/C][C]196642.303994791[/C][C]53880.8303663941[/C][/ROW]
[ROW][C]0.23[/C][C]208384.804629033[/C][C]53881.006475547[/C][/ROW]
[ROW][C]0.24[/C][C]219927.470969731[/C][C]53064.6908198505[/C][/ROW]
[ROW][C]0.25[/C][C]231123.543851968[/C][C]51558.3598348856[/C][/ROW]
[ROW][C]0.26[/C][C]241857.823899115[/C][C]49535.830836575[/C][/ROW]
[ROW][C]0.27[/C][C]252053.472454634[/C][C]47196.1222221229[/C][/ROW]
[ROW][C]0.28[/C][C]261674.299878959[/C][C]44742.1693688403[/C][/ROW]
[ROW][C]0.29[/C][C]270722.979806614[/C][C]42364.0435387374[/C][/ROW]
[ROW][C]0.3[/C][C]279236.149345555[/C][C]40221.8507576418[/C][/ROW]
[ROW][C]0.31[/C][C]287277.602649586[/C][C]38443.0210653061[/C][/ROW]
[ROW][C]0.32[/C][C]294930.775220156[/C][C]37113.8147728977[/C][/ROW]
[ROW][C]0.33[/C][C]302291.506980585[/C][C]36284.2461768475[/C][/ROW]
[ROW][C]0.34[/C][C]309461.741310013[/C][C]35974.5081952628[/C][/ROW]
[ROW][C]0.35[/C][C]316544.447739335[/C][C]36181.1062174838[/C][/ROW]
[ROW][C]0.36[/C][C]323639.726325182[/C][C]36884.5648946207[/C][/ROW]
[ROW][C]0.37[/C][C]330841.825861338[/C][C]38053.8517054152[/C][/ROW]
[ROW][C]0.38[/C][C]338236.72455021[/C][C]39644.333073229[/C][/ROW]
[ROW][C]0.39[/C][C]345899.984252865[/C][C]41601.4277109796[/C][/ROW]
[ROW][C]0.4[/C][C]353894.764265736[/C][C]43852.2787018575[/C][/ROW]
[ROW][C]0.41[/C][C]362270.103610631[/C][C]46313.3954508981[/C][/ROW]
[ROW][C]0.42[/C][C]371059.773571493[/C][C]48890.3166706382[/C][/ROW]
[ROW][C]0.43[/C][C]380282.092888811[/C][C]51488.6731021764[/C][/ROW]
[ROW][C]0.44[/C][C]389941.041860948[/C][C]54024.7482248821[/C][/ROW]
[ROW][C]0.45[/C][C]400028.80466885[/C][C]56433.911868888[/C][/ROW]
[ROW][C]0.46[/C][C]410529.552047128[/C][C]58681.3815521842[/C][/ROW]
[ROW][C]0.47[/C][C]421423.926206654[/C][C]60765.1321548775[/C][/ROW]
[ROW][C]0.48[/C][C]432693.403173031[/C][C]62713.9023054826[/C][/ROW]
[ROW][C]0.49[/C][C]444323.576715531[/C][C]64577.6185423804[/C][/ROW]
[ROW][C]0.5[/C][C]456305.496379278[/C][C]66410.5163980968[/C][/ROW]
[ROW][C]0.51[/C][C]468634.514754197[/C][C]68251.9635426565[/C][/ROW]
[ROW][C]0.52[/C][C]481306.612047433[/C][C]70107.3541784265[/C][/ROW]
[ROW][C]0.53[/C][C]494312.769367197[/C][C]71933.922361849[/C][/ROW]
[ROW][C]0.54[/C][C]507632.517604217[/C][C]73640.9407629809[/C][/ROW]
[ROW][C]0.55[/C][C]521228.149950869[/C][C]75095.4934533571[/C][/ROW]
[ROW][C]0.56[/C][C]535041.135443341[/C][C]76146.4623650475[/C][/ROW]
[ROW][C]0.57[/C][C]548991.955297967[/C][C]76650.011648865[/C][/ROW]
[ROW][C]0.58[/C][C]562983.937671940[/C][C]76498.6845294451[/C][/ROW]
[ROW][C]0.59[/C][C]576910.814040861[/C][C]75645.4974431788[/C][/ROW]
[ROW][C]0.6[/C][C]590666.852642926[/C][C]74117.9433204666[/C][/ROW]
[ROW][C]0.61[/C][C]604157.754004127[/C][C]72017.7366152614[/C][/ROW]
[ROW][C]0.62[/C][C]617310.198400224[/C][C]69508.4776247385[/C][/ROW]
[ROW][C]0.63[/C][C]630078.107499889[/C][C]66787.8385913607[/C][/ROW]
[ROW][C]0.64[/C][C]642444.299590685[/C][C]64056.1865752227[/C][/ROW]
[ROW][C]0.65[/C][C]654417.14479382[/C][C]61477.6212423947[/C][/ROW]
[ROW][C]0.66[/C][C]666022.851703862[/C][C]59151.9486127132[/C][/ROW]
[ROW][C]0.67[/C][C]677294.907765676[/C][C]57101.4423032927[/C][/ROW]
[ROW][C]0.68[/C][C]688262.75949045[/C][C]55268.1170396431[/C][/ROW]
[ROW][C]0.69[/C][C]698941.945980092[/C][C]53537.9741930384[/C][/ROW]
[ROW][C]0.7[/C][C]709327.582229284[/C][C]51764.2906036777[/C][/ROW]
[ROW][C]0.71[/C][C]719392.411501349[/C][C]49807.008273009[/C][/ROW]
[ROW][C]0.72[/C][C]729089.757646885[/C][C]47557.5887737422[/C][/ROW]
[ROW][C]0.73[/C][C]738360.789035275[/C][C]44961.0832900454[/C][/ROW]
[ROW][C]0.74[/C][C]747144.737824256[/C][C]42026.0870785356[/C][/ROW]
[ROW][C]0.75[/C][C]755390.259429284[/C][C]38825.6764339058[/C][/ROW]
[ROW][C]0.76[/C][C]763066.074107905[/C][C]35483.0044256804[/C][/ROW]
[ROW][C]0.77[/C][C]770169.428375512[/C][C]32160.8710475211[/C][/ROW]
[ROW][C]0.78[/C][C]776731.651834358[/C][C]29035.0470821575[/C][/ROW]
[ROW][C]0.79[/C][C]782820.929117388[/C][C]26278.2697009421[/C][/ROW]
[ROW][C]0.8[/C][C]788543.009221242[/C][C]24051.8172281278[/C][/ROW]
[ROW][C]0.81[/C][C]794040.579485457[/C][C]22498.5937657466[/C][/ROW]
[ROW][C]0.82[/C][C]799491.259466051[/C][C]21747.6343824061[/C][/ROW]
[ROW][C]0.83[/C][C]805102.83475265[/C][C]21907.1020503999[/C][/ROW]
[ROW][C]0.84[/C][C]811103.187288506[/C][C]23029.3258124694[/C][/ROW]
[ROW][C]0.85[/C][C]817722.511665644[/C][C]25057.6430298825[/C][/ROW]
[ROW][C]0.86[/C][C]825167.823976232[/C][C]27782.1623246630[/C][/ROW]
[ROW][C]0.87[/C][C]833594.448670833[/C][C]30840.2955184488[/C][/ROW]
[ROW][C]0.88[/C][C]843084.249490225[/C][C]33780.3175368283[/C][/ROW]
[ROW][C]0.89[/C][C]853642.134194643[/C][C]36180.868564268[/C][/ROW]
[ROW][C]0.9[/C][C]865216.831909645[/C][C]37792.2881150081[/C][/ROW]
[ROW][C]0.91[/C][C]877738.198507485[/C][C]38631.090850004[/C][/ROW]
[ROW][C]0.92[/C][C]891146.934432152[/C][C]38932.6563818071[/C][/ROW]
[ROW][C]0.93[/C][C]905385.751146212[/C][C]38901.7585170305[/C][/ROW]
[ROW][C]0.94[/C][C]920335.674652134[/C][C]38387.5845059959[/C][/ROW]
[ROW][C]0.95[/C][C]935716.659394447[/C][C]36791.6796203357[/C][/ROW]
[ROW][C]0.96[/C][C]951005.080408647[/C][C]33385.5800961790[/C][/ROW]
[ROW][C]0.97[/C][C]965413.069321263[/C][C]27819.4535385792[/C][/ROW]
[ROW][C]0.98[/C][C]977909.165602164[/C][C]20545.2541922752[/C][/ROW]
[ROW][C]0.99[/C][C]987233.141771688[/C][C]13414.7140323624[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74132&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74132&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
0.0135141.42232461118284.53163312535
0.0239455.80526485697479.6125441415
0.0344198.10043579818860.2956931077
0.0449172.857048482311278.5005180263
0.0554481.410400214413527.7663062880
0.0660138.827052311815271.5481911772
0.0766056.112718185316656.7762962996
0.0872141.69474934317952.3354267015
0.0978362.042511432419368.9593193818
0.184745.358991332321033.7396350139
0.1191360.836805491923025.517306381
0.1298297.479949547425396.8678289340
0.13105649.27859351128171.2581300136
0.14113504.73801141431329.7609993782
0.15121937.61712490234802.6265843674
0.16130997.59185771338467.6793484887
0.17140701.42359997542155.3260824812
0.18151026.14796025045660.9668367614
0.19161905.89577811148766.2209330948
0.2173233.50429997551267.552241783
0.21184867.27888178753004.0333581953
0.22196642.30399479153880.8303663941
0.23208384.80462903353881.006475547
0.24219927.47096973153064.6908198505
0.25231123.54385196851558.3598348856
0.26241857.82389911549535.830836575
0.27252053.47245463447196.1222221229
0.28261674.29987895944742.1693688403
0.29270722.97980661442364.0435387374
0.3279236.14934555540221.8507576418
0.31287277.60264958638443.0210653061
0.32294930.77522015637113.8147728977
0.33302291.50698058536284.2461768475
0.34309461.74131001335974.5081952628
0.35316544.44773933536181.1062174838
0.36323639.72632518236884.5648946207
0.37330841.82586133838053.8517054152
0.38338236.7245502139644.333073229
0.39345899.98425286541601.4277109796
0.4353894.76426573643852.2787018575
0.41362270.10361063146313.3954508981
0.42371059.77357149348890.3166706382
0.43380282.09288881151488.6731021764
0.44389941.04186094854024.7482248821
0.45400028.8046688556433.911868888
0.46410529.55204712858681.3815521842
0.47421423.92620665460765.1321548775
0.48432693.40317303162713.9023054826
0.49444323.57671553164577.6185423804
0.5456305.49637927866410.5163980968
0.51468634.51475419768251.9635426565
0.52481306.61204743370107.3541784265
0.53494312.76936719771933.922361849
0.54507632.51760421773640.9407629809
0.55521228.14995086975095.4934533571
0.56535041.13544334176146.4623650475
0.57548991.95529796776650.011648865
0.58562983.93767194076498.6845294451
0.59576910.81404086175645.4974431788
0.6590666.85264292674117.9433204666
0.61604157.75400412772017.7366152614
0.62617310.19840022469508.4776247385
0.63630078.10749988966787.8385913607
0.64642444.29959068564056.1865752227
0.65654417.1447938261477.6212423947
0.66666022.85170386259151.9486127132
0.67677294.90776567657101.4423032927
0.68688262.7594904555268.1170396431
0.69698941.94598009253537.9741930384
0.7709327.58222928451764.2906036777
0.71719392.41150134949807.008273009
0.72729089.75764688547557.5887737422
0.73738360.78903527544961.0832900454
0.74747144.73782425642026.0870785356
0.75755390.25942928438825.6764339058
0.76763066.07410790535483.0044256804
0.77770169.42837551232160.8710475211
0.78776731.65183435829035.0470821575
0.79782820.92911738826278.2697009421
0.8788543.00922124224051.8172281278
0.81794040.57948545722498.5937657466
0.82799491.25946605121747.6343824061
0.83805102.8347526521907.1020503999
0.84811103.18728850623029.3258124694
0.85817722.51166564425057.6430298825
0.86825167.82397623227782.1623246630
0.87833594.44867083330840.2955184488
0.88843084.24949022533780.3175368283
0.89853642.13419464336180.868564268
0.9865216.83190964537792.2881150081
0.91877738.19850748538631.090850004
0.92891146.93443215238932.6563818071
0.93905385.75114621238901.7585170305
0.94920335.67465213438387.5845059959
0.95935716.65939444736791.6796203357
0.96951005.08040864733385.5800961790
0.97965413.06932126327819.4535385792
0.98977909.16560216420545.2541922752
0.99987233.14177168813414.7140323624



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')