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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 computationSun, 21 Aug 2011 05:21:59 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Aug/21/t1313918556w1j1i7rcdgik13f.htm/, Retrieved Wed, 15 May 2024 03:54:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=124221, Retrieved Wed, 15 May 2024 03:54:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBlij Arnaud
Estimated Impact187

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Tijdreeks 2 - Stap 6] [2011-08-21 09:21:59] [50083fea611f0183deb36cab794727ad] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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790
610
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750
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870
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860
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124221&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=124221&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124221&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01516.40348614277125.7132881518405
0.02537.72805307110521.9785565111301
0.03554.67123663881618.3428701930316
0.04566.93022838084615.9039230865876
0.05576.37048158918315.3394513300254
0.06584.35218400344315.2330935935084
0.07591.43972149806714.6045827523325
0.08597.77000342859313.6775418637299
0.09603.42197465142212.9818741817621
0.1608.52924840848112.6372040055169
0.11613.21917505737612.3694430907682
0.12617.54955674375311.8896425744406
0.13621.5158802415411.1237920398337
0.14625.10428865415110.2268004126267
0.15628.3401087614569.46447391921151
0.16631.3039985530519.07540748563259
0.17634.1168326636439.17233183535774
0.18636.9094574348699.71889555769641
0.19639.7934076798310.5813402711286
0.2642.84148458185311.5855844597153
0.21646.08029883148312.5563969209175
0.22649.49347783209613.3465929776539
0.23653.03323538511513.8648215738536
0.24656.63735738875814.0973202587534
0.25660.24757457701914.1090183840305
0.26663.8245336036814.020556028858
0.27667.35527381848113.966107223156
0.28670.85153677765614.045378505878
0.29674.34046247169814.2904479149397
0.3677.85177427924414.660580097539
0.31681.4062970303815.0717111144051
0.32685.00941828553715.4337485266415
0.33688.65065975046715.680343080378
0.34692.30807933885415.7860436922181
0.35695.95478478954315.7556685942139
0.36699.56479256809415.6165276145274
0.37703.11651503893415.3988381630383
0.38706.59359766224615.1210781534586
0.39709.98394596681414.7936457512921
0.4713.27818948421514.4170317402449
0.41716.46855930148513.9943633844586
0.42719.54854037447813.5304014337198
0.43722.51309686306813.0367214248702
0.44725.3590148356712.5273233345954
0.45728.08499513415412.0123179455696
0.46730.69141953521311.5005239366282
0.47733.18000813320610.9937621133575
0.48735.55373597670410.4968420596892
0.49737.81732853124410.0158030426436
0.5739.9784396782619.56595857235065
0.51742.0493131031529.1702056344596
0.52744.0484365233898.86322413720054
0.53746.0015167856928.68507281500733
0.54747.9411155422548.67374162171498
0.55749.9045326933448.85125998082118
0.56751.9299793600519.21393907413348
0.57754.0516277593339.72475639190932
0.58756.29458056830610.3232220002567
0.59758.67098483291310.9344380548241
0.6761.17832453113411.4818983751375
0.61763.80040019402411.9065796377632
0.62766.51081729178312.1743403114819
0.63769.27819475777512.2771266404959
0.64772.071966614112.2369289600248
0.65774.86765377511212.0933941710491
0.66777.65076038259811.8999459930328
0.67780.41885014487711.7142723089714
0.68783.18174919340111.5890127111293
0.69785.96015102848911.5680869362479
0.7788.78318626396511.678488315048
0.71791.68577540346511.933678726329
0.72794.70671869680912.3340502585566
0.73797.88830055791912.8779137006458
0.74801.27752518834813.5757572972523
0.75804.92801384787714.4518169555406
0.76808.90052389319915.5361562231729
0.77813.25974920585516.8436694600897
0.78818.06624546184818.337276090603
0.79823.365158586219.9211552980976
0.8829.1771596955821.4553556104017
0.81835.49994767600122.8107854657561
0.82842.3288367099423.9523955120317
0.83849.70067304201225.0270465554352
0.84857.75609441927826.4344965733602
0.85866.801997706228.8022810892998
0.86877.34219705976332.8078050170631
0.87890.03597237347238.8206574736457
0.88905.55163154956846.5260430594024
0.89924.31648058860954.7336369394007
0.9946.22807315110861.4989929374718
0.91970.46185068710964.6612998790978
0.92995.53137161552762.738623535849
0.931019.6670923010255.7862689339699
0.941041.3910304683445.5937950402783
0.951060.0380002071234.8746679373271
0.961076.0885982216226.1097748213555
0.971091.3178094009121.4394642906153
0.981108.2127668083421.5303004624637
0.991126.9100355002221.526586542605

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 516.403486142771 & 25.7132881518405 \tabularnewline
0.02 & 537.728053071105 & 21.9785565111301 \tabularnewline
0.03 & 554.671236638816 & 18.3428701930316 \tabularnewline
0.04 & 566.930228380846 & 15.9039230865876 \tabularnewline
0.05 & 576.370481589183 & 15.3394513300254 \tabularnewline
0.06 & 584.352184003443 & 15.2330935935084 \tabularnewline
0.07 & 591.439721498067 & 14.6045827523325 \tabularnewline
0.08 & 597.770003428593 & 13.6775418637299 \tabularnewline
0.09 & 603.421974651422 & 12.9818741817621 \tabularnewline
0.1 & 608.529248408481 & 12.6372040055169 \tabularnewline
0.11 & 613.219175057376 & 12.3694430907682 \tabularnewline
0.12 & 617.549556743753 & 11.8896425744406 \tabularnewline
0.13 & 621.51588024154 & 11.1237920398337 \tabularnewline
0.14 & 625.104288654151 & 10.2268004126267 \tabularnewline
0.15 & 628.340108761456 & 9.46447391921151 \tabularnewline
0.16 & 631.303998553051 & 9.07540748563259 \tabularnewline
0.17 & 634.116832663643 & 9.17233183535774 \tabularnewline
0.18 & 636.909457434869 & 9.71889555769641 \tabularnewline
0.19 & 639.79340767983 & 10.5813402711286 \tabularnewline
0.2 & 642.841484581853 & 11.5855844597153 \tabularnewline
0.21 & 646.080298831483 & 12.5563969209175 \tabularnewline
0.22 & 649.493477832096 & 13.3465929776539 \tabularnewline
0.23 & 653.033235385115 & 13.8648215738536 \tabularnewline
0.24 & 656.637357388758 & 14.0973202587534 \tabularnewline
0.25 & 660.247574577019 & 14.1090183840305 \tabularnewline
0.26 & 663.82453360368 & 14.020556028858 \tabularnewline
0.27 & 667.355273818481 & 13.966107223156 \tabularnewline
0.28 & 670.851536777656 & 14.045378505878 \tabularnewline
0.29 & 674.340462471698 & 14.2904479149397 \tabularnewline
0.3 & 677.851774279244 & 14.660580097539 \tabularnewline
0.31 & 681.40629703038 & 15.0717111144051 \tabularnewline
0.32 & 685.009418285537 & 15.4337485266415 \tabularnewline
0.33 & 688.650659750467 & 15.680343080378 \tabularnewline
0.34 & 692.308079338854 & 15.7860436922181 \tabularnewline
0.35 & 695.954784789543 & 15.7556685942139 \tabularnewline
0.36 & 699.564792568094 & 15.6165276145274 \tabularnewline
0.37 & 703.116515038934 & 15.3988381630383 \tabularnewline
0.38 & 706.593597662246 & 15.1210781534586 \tabularnewline
0.39 & 709.983945966814 & 14.7936457512921 \tabularnewline
0.4 & 713.278189484215 & 14.4170317402449 \tabularnewline
0.41 & 716.468559301485 & 13.9943633844586 \tabularnewline
0.42 & 719.548540374478 & 13.5304014337198 \tabularnewline
0.43 & 722.513096863068 & 13.0367214248702 \tabularnewline
0.44 & 725.35901483567 & 12.5273233345954 \tabularnewline
0.45 & 728.084995134154 & 12.0123179455696 \tabularnewline
0.46 & 730.691419535213 & 11.5005239366282 \tabularnewline
0.47 & 733.180008133206 & 10.9937621133575 \tabularnewline
0.48 & 735.553735976704 & 10.4968420596892 \tabularnewline
0.49 & 737.817328531244 & 10.0158030426436 \tabularnewline
0.5 & 739.978439678261 & 9.56595857235065 \tabularnewline
0.51 & 742.049313103152 & 9.1702056344596 \tabularnewline
0.52 & 744.048436523389 & 8.86322413720054 \tabularnewline
0.53 & 746.001516785692 & 8.68507281500733 \tabularnewline
0.54 & 747.941115542254 & 8.67374162171498 \tabularnewline
0.55 & 749.904532693344 & 8.85125998082118 \tabularnewline
0.56 & 751.929979360051 & 9.21393907413348 \tabularnewline
0.57 & 754.051627759333 & 9.72475639190932 \tabularnewline
0.58 & 756.294580568306 & 10.3232220002567 \tabularnewline
0.59 & 758.670984832913 & 10.9344380548241 \tabularnewline
0.6 & 761.178324531134 & 11.4818983751375 \tabularnewline
0.61 & 763.800400194024 & 11.9065796377632 \tabularnewline
0.62 & 766.510817291783 & 12.1743403114819 \tabularnewline
0.63 & 769.278194757775 & 12.2771266404959 \tabularnewline
0.64 & 772.0719666141 & 12.2369289600248 \tabularnewline
0.65 & 774.867653775112 & 12.0933941710491 \tabularnewline
0.66 & 777.650760382598 & 11.8999459930328 \tabularnewline
0.67 & 780.418850144877 & 11.7142723089714 \tabularnewline
0.68 & 783.181749193401 & 11.5890127111293 \tabularnewline
0.69 & 785.960151028489 & 11.5680869362479 \tabularnewline
0.7 & 788.783186263965 & 11.678488315048 \tabularnewline
0.71 & 791.685775403465 & 11.933678726329 \tabularnewline
0.72 & 794.706718696809 & 12.3340502585566 \tabularnewline
0.73 & 797.888300557919 & 12.8779137006458 \tabularnewline
0.74 & 801.277525188348 & 13.5757572972523 \tabularnewline
0.75 & 804.928013847877 & 14.4518169555406 \tabularnewline
0.76 & 808.900523893199 & 15.5361562231729 \tabularnewline
0.77 & 813.259749205855 & 16.8436694600897 \tabularnewline
0.78 & 818.066245461848 & 18.337276090603 \tabularnewline
0.79 & 823.3651585862 & 19.9211552980976 \tabularnewline
0.8 & 829.17715969558 & 21.4553556104017 \tabularnewline
0.81 & 835.499947676001 & 22.8107854657561 \tabularnewline
0.82 & 842.32883670994 & 23.9523955120317 \tabularnewline
0.83 & 849.700673042012 & 25.0270465554352 \tabularnewline
0.84 & 857.756094419278 & 26.4344965733602 \tabularnewline
0.85 & 866.8019977062 & 28.8022810892998 \tabularnewline
0.86 & 877.342197059763 & 32.8078050170631 \tabularnewline
0.87 & 890.035972373472 & 38.8206574736457 \tabularnewline
0.88 & 905.551631549568 & 46.5260430594024 \tabularnewline
0.89 & 924.316480588609 & 54.7336369394007 \tabularnewline
0.9 & 946.228073151108 & 61.4989929374718 \tabularnewline
0.91 & 970.461850687109 & 64.6612998790978 \tabularnewline
0.92 & 995.531371615527 & 62.738623535849 \tabularnewline
0.93 & 1019.66709230102 & 55.7862689339699 \tabularnewline
0.94 & 1041.39103046834 & 45.5937950402783 \tabularnewline
0.95 & 1060.03800020712 & 34.8746679373271 \tabularnewline
0.96 & 1076.08859822162 & 26.1097748213555 \tabularnewline
0.97 & 1091.31780940091 & 21.4394642906153 \tabularnewline
0.98 & 1108.21276680834 & 21.5303004624637 \tabularnewline
0.99 & 1126.91003550022 & 21.526586542605 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124221&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]516.403486142771[/C][C]25.7132881518405[/C][/ROW]
[ROW][C]0.02[/C][C]537.728053071105[/C][C]21.9785565111301[/C][/ROW]
[ROW][C]0.03[/C][C]554.671236638816[/C][C]18.3428701930316[/C][/ROW]
[ROW][C]0.04[/C][C]566.930228380846[/C][C]15.9039230865876[/C][/ROW]
[ROW][C]0.05[/C][C]576.370481589183[/C][C]15.3394513300254[/C][/ROW]
[ROW][C]0.06[/C][C]584.352184003443[/C][C]15.2330935935084[/C][/ROW]
[ROW][C]0.07[/C][C]591.439721498067[/C][C]14.6045827523325[/C][/ROW]
[ROW][C]0.08[/C][C]597.770003428593[/C][C]13.6775418637299[/C][/ROW]
[ROW][C]0.09[/C][C]603.421974651422[/C][C]12.9818741817621[/C][/ROW]
[ROW][C]0.1[/C][C]608.529248408481[/C][C]12.6372040055169[/C][/ROW]
[ROW][C]0.11[/C][C]613.219175057376[/C][C]12.3694430907682[/C][/ROW]
[ROW][C]0.12[/C][C]617.549556743753[/C][C]11.8896425744406[/C][/ROW]
[ROW][C]0.13[/C][C]621.51588024154[/C][C]11.1237920398337[/C][/ROW]
[ROW][C]0.14[/C][C]625.104288654151[/C][C]10.2268004126267[/C][/ROW]
[ROW][C]0.15[/C][C]628.340108761456[/C][C]9.46447391921151[/C][/ROW]
[ROW][C]0.16[/C][C]631.303998553051[/C][C]9.07540748563259[/C][/ROW]
[ROW][C]0.17[/C][C]634.116832663643[/C][C]9.17233183535774[/C][/ROW]
[ROW][C]0.18[/C][C]636.909457434869[/C][C]9.71889555769641[/C][/ROW]
[ROW][C]0.19[/C][C]639.79340767983[/C][C]10.5813402711286[/C][/ROW]
[ROW][C]0.2[/C][C]642.841484581853[/C][C]11.5855844597153[/C][/ROW]
[ROW][C]0.21[/C][C]646.080298831483[/C][C]12.5563969209175[/C][/ROW]
[ROW][C]0.22[/C][C]649.493477832096[/C][C]13.3465929776539[/C][/ROW]
[ROW][C]0.23[/C][C]653.033235385115[/C][C]13.8648215738536[/C][/ROW]
[ROW][C]0.24[/C][C]656.637357388758[/C][C]14.0973202587534[/C][/ROW]
[ROW][C]0.25[/C][C]660.247574577019[/C][C]14.1090183840305[/C][/ROW]
[ROW][C]0.26[/C][C]663.82453360368[/C][C]14.020556028858[/C][/ROW]
[ROW][C]0.27[/C][C]667.355273818481[/C][C]13.966107223156[/C][/ROW]
[ROW][C]0.28[/C][C]670.851536777656[/C][C]14.045378505878[/C][/ROW]
[ROW][C]0.29[/C][C]674.340462471698[/C][C]14.2904479149397[/C][/ROW]
[ROW][C]0.3[/C][C]677.851774279244[/C][C]14.660580097539[/C][/ROW]
[ROW][C]0.31[/C][C]681.40629703038[/C][C]15.0717111144051[/C][/ROW]
[ROW][C]0.32[/C][C]685.009418285537[/C][C]15.4337485266415[/C][/ROW]
[ROW][C]0.33[/C][C]688.650659750467[/C][C]15.680343080378[/C][/ROW]
[ROW][C]0.34[/C][C]692.308079338854[/C][C]15.7860436922181[/C][/ROW]
[ROW][C]0.35[/C][C]695.954784789543[/C][C]15.7556685942139[/C][/ROW]
[ROW][C]0.36[/C][C]699.564792568094[/C][C]15.6165276145274[/C][/ROW]
[ROW][C]0.37[/C][C]703.116515038934[/C][C]15.3988381630383[/C][/ROW]
[ROW][C]0.38[/C][C]706.593597662246[/C][C]15.1210781534586[/C][/ROW]
[ROW][C]0.39[/C][C]709.983945966814[/C][C]14.7936457512921[/C][/ROW]
[ROW][C]0.4[/C][C]713.278189484215[/C][C]14.4170317402449[/C][/ROW]
[ROW][C]0.41[/C][C]716.468559301485[/C][C]13.9943633844586[/C][/ROW]
[ROW][C]0.42[/C][C]719.548540374478[/C][C]13.5304014337198[/C][/ROW]
[ROW][C]0.43[/C][C]722.513096863068[/C][C]13.0367214248702[/C][/ROW]
[ROW][C]0.44[/C][C]725.35901483567[/C][C]12.5273233345954[/C][/ROW]
[ROW][C]0.45[/C][C]728.084995134154[/C][C]12.0123179455696[/C][/ROW]
[ROW][C]0.46[/C][C]730.691419535213[/C][C]11.5005239366282[/C][/ROW]
[ROW][C]0.47[/C][C]733.180008133206[/C][C]10.9937621133575[/C][/ROW]
[ROW][C]0.48[/C][C]735.553735976704[/C][C]10.4968420596892[/C][/ROW]
[ROW][C]0.49[/C][C]737.817328531244[/C][C]10.0158030426436[/C][/ROW]
[ROW][C]0.5[/C][C]739.978439678261[/C][C]9.56595857235065[/C][/ROW]
[ROW][C]0.51[/C][C]742.049313103152[/C][C]9.1702056344596[/C][/ROW]
[ROW][C]0.52[/C][C]744.048436523389[/C][C]8.86322413720054[/C][/ROW]
[ROW][C]0.53[/C][C]746.001516785692[/C][C]8.68507281500733[/C][/ROW]
[ROW][C]0.54[/C][C]747.941115542254[/C][C]8.67374162171498[/C][/ROW]
[ROW][C]0.55[/C][C]749.904532693344[/C][C]8.85125998082118[/C][/ROW]
[ROW][C]0.56[/C][C]751.929979360051[/C][C]9.21393907413348[/C][/ROW]
[ROW][C]0.57[/C][C]754.051627759333[/C][C]9.72475639190932[/C][/ROW]
[ROW][C]0.58[/C][C]756.294580568306[/C][C]10.3232220002567[/C][/ROW]
[ROW][C]0.59[/C][C]758.670984832913[/C][C]10.9344380548241[/C][/ROW]
[ROW][C]0.6[/C][C]761.178324531134[/C][C]11.4818983751375[/C][/ROW]
[ROW][C]0.61[/C][C]763.800400194024[/C][C]11.9065796377632[/C][/ROW]
[ROW][C]0.62[/C][C]766.510817291783[/C][C]12.1743403114819[/C][/ROW]
[ROW][C]0.63[/C][C]769.278194757775[/C][C]12.2771266404959[/C][/ROW]
[ROW][C]0.64[/C][C]772.0719666141[/C][C]12.2369289600248[/C][/ROW]
[ROW][C]0.65[/C][C]774.867653775112[/C][C]12.0933941710491[/C][/ROW]
[ROW][C]0.66[/C][C]777.650760382598[/C][C]11.8999459930328[/C][/ROW]
[ROW][C]0.67[/C][C]780.418850144877[/C][C]11.7142723089714[/C][/ROW]
[ROW][C]0.68[/C][C]783.181749193401[/C][C]11.5890127111293[/C][/ROW]
[ROW][C]0.69[/C][C]785.960151028489[/C][C]11.5680869362479[/C][/ROW]
[ROW][C]0.7[/C][C]788.783186263965[/C][C]11.678488315048[/C][/ROW]
[ROW][C]0.71[/C][C]791.685775403465[/C][C]11.933678726329[/C][/ROW]
[ROW][C]0.72[/C][C]794.706718696809[/C][C]12.3340502585566[/C][/ROW]
[ROW][C]0.73[/C][C]797.888300557919[/C][C]12.8779137006458[/C][/ROW]
[ROW][C]0.74[/C][C]801.277525188348[/C][C]13.5757572972523[/C][/ROW]
[ROW][C]0.75[/C][C]804.928013847877[/C][C]14.4518169555406[/C][/ROW]
[ROW][C]0.76[/C][C]808.900523893199[/C][C]15.5361562231729[/C][/ROW]
[ROW][C]0.77[/C][C]813.259749205855[/C][C]16.8436694600897[/C][/ROW]
[ROW][C]0.78[/C][C]818.066245461848[/C][C]18.337276090603[/C][/ROW]
[ROW][C]0.79[/C][C]823.3651585862[/C][C]19.9211552980976[/C][/ROW]
[ROW][C]0.8[/C][C]829.17715969558[/C][C]21.4553556104017[/C][/ROW]
[ROW][C]0.81[/C][C]835.499947676001[/C][C]22.8107854657561[/C][/ROW]
[ROW][C]0.82[/C][C]842.32883670994[/C][C]23.9523955120317[/C][/ROW]
[ROW][C]0.83[/C][C]849.700673042012[/C][C]25.0270465554352[/C][/ROW]
[ROW][C]0.84[/C][C]857.756094419278[/C][C]26.4344965733602[/C][/ROW]
[ROW][C]0.85[/C][C]866.8019977062[/C][C]28.8022810892998[/C][/ROW]
[ROW][C]0.86[/C][C]877.342197059763[/C][C]32.8078050170631[/C][/ROW]
[ROW][C]0.87[/C][C]890.035972373472[/C][C]38.8206574736457[/C][/ROW]
[ROW][C]0.88[/C][C]905.551631549568[/C][C]46.5260430594024[/C][/ROW]
[ROW][C]0.89[/C][C]924.316480588609[/C][C]54.7336369394007[/C][/ROW]
[ROW][C]0.9[/C][C]946.228073151108[/C][C]61.4989929374718[/C][/ROW]
[ROW][C]0.91[/C][C]970.461850687109[/C][C]64.6612998790978[/C][/ROW]
[ROW][C]0.92[/C][C]995.531371615527[/C][C]62.738623535849[/C][/ROW]
[ROW][C]0.93[/C][C]1019.66709230102[/C][C]55.7862689339699[/C][/ROW]
[ROW][C]0.94[/C][C]1041.39103046834[/C][C]45.5937950402783[/C][/ROW]
[ROW][C]0.95[/C][C]1060.03800020712[/C][C]34.8746679373271[/C][/ROW]
[ROW][C]0.96[/C][C]1076.08859822162[/C][C]26.1097748213555[/C][/ROW]
[ROW][C]0.97[/C][C]1091.31780940091[/C][C]21.4394642906153[/C][/ROW]
[ROW][C]0.98[/C][C]1108.21276680834[/C][C]21.5303004624637[/C][/ROW]
[ROW][C]0.99[/C][C]1126.91003550022[/C][C]21.526586542605[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=124221&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124221&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
0.01516.40348614277125.7132881518405
0.02537.72805307110521.9785565111301
0.03554.67123663881618.3428701930316
0.04566.93022838084615.9039230865876
0.05576.37048158918315.3394513300254
0.06584.35218400344315.2330935935084
0.07591.43972149806714.6045827523325
0.08597.77000342859313.6775418637299
0.09603.42197465142212.9818741817621
0.1608.52924840848112.6372040055169
0.11613.21917505737612.3694430907682
0.12617.54955674375311.8896425744406
0.13621.5158802415411.1237920398337
0.14625.10428865415110.2268004126267
0.15628.3401087614569.46447391921151
0.16631.3039985530519.07540748563259
0.17634.1168326636439.17233183535774
0.18636.9094574348699.71889555769641
0.19639.7934076798310.5813402711286
0.2642.84148458185311.5855844597153
0.21646.08029883148312.5563969209175
0.22649.49347783209613.3465929776539
0.23653.03323538511513.8648215738536
0.24656.63735738875814.0973202587534
0.25660.24757457701914.1090183840305
0.26663.8245336036814.020556028858
0.27667.35527381848113.966107223156
0.28670.85153677765614.045378505878
0.29674.34046247169814.2904479149397
0.3677.85177427924414.660580097539
0.31681.4062970303815.0717111144051
0.32685.00941828553715.4337485266415
0.33688.65065975046715.680343080378
0.34692.30807933885415.7860436922181
0.35695.95478478954315.7556685942139
0.36699.56479256809415.6165276145274
0.37703.11651503893415.3988381630383
0.38706.59359766224615.1210781534586
0.39709.98394596681414.7936457512921
0.4713.27818948421514.4170317402449
0.41716.46855930148513.9943633844586
0.42719.54854037447813.5304014337198
0.43722.51309686306813.0367214248702
0.44725.3590148356712.5273233345954
0.45728.08499513415412.0123179455696
0.46730.69141953521311.5005239366282
0.47733.18000813320610.9937621133575
0.48735.55373597670410.4968420596892
0.49737.81732853124410.0158030426436
0.5739.9784396782619.56595857235065
0.51742.0493131031529.1702056344596
0.52744.0484365233898.86322413720054
0.53746.0015167856928.68507281500733
0.54747.9411155422548.67374162171498
0.55749.9045326933448.85125998082118
0.56751.9299793600519.21393907413348
0.57754.0516277593339.72475639190932
0.58756.29458056830610.3232220002567
0.59758.67098483291310.9344380548241
0.6761.17832453113411.4818983751375
0.61763.80040019402411.9065796377632
0.62766.51081729178312.1743403114819
0.63769.27819475777512.2771266404959
0.64772.071966614112.2369289600248
0.65774.86765377511212.0933941710491
0.66777.65076038259811.8999459930328
0.67780.41885014487711.7142723089714
0.68783.18174919340111.5890127111293
0.69785.96015102848911.5680869362479
0.7788.78318626396511.678488315048
0.71791.68577540346511.933678726329
0.72794.70671869680912.3340502585566
0.73797.88830055791912.8779137006458
0.74801.27752518834813.5757572972523
0.75804.92801384787714.4518169555406
0.76808.90052389319915.5361562231729
0.77813.25974920585516.8436694600897
0.78818.06624546184818.337276090603
0.79823.365158586219.9211552980976
0.8829.1771596955821.4553556104017
0.81835.49994767600122.8107854657561
0.82842.3288367099423.9523955120317
0.83849.70067304201225.0270465554352
0.84857.75609441927826.4344965733602
0.85866.801997706228.8022810892998
0.86877.34219705976332.8078050170631
0.87890.03597237347238.8206574736457
0.88905.55163154956846.5260430594024
0.89924.31648058860954.7336369394007
0.9946.22807315110861.4989929374718
0.91970.46185068710964.6612998790978
0.92995.53137161552762.738623535849
0.931019.6670923010255.7862689339699
0.941041.3910304683445.5937950402783
0.951060.0380002071234.8746679373271
0.961076.0885982216226.1097748213555
0.971091.3178094009121.4394642906153
0.981108.2127668083421.5303004624637
0.991126.9100355002221.526586542605


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')