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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 computationFri, 10 Mar 2017 09:07:14 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/10/t1489136895l73rat2mh4nczg1.htm/, Retrieved Thu, 16 May 2024 01:01:16 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 16 May 2024 01:01:16 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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 time2 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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112.16132486030620.898863653921235
0.0212.40963766254540.832134634831524
0.0312.71025732718480.835967033752651
0.0413.03652254522520.917186282448542
0.0513.3737398292911.03129502595293
0.0613.71496442208421.1319807616718
0.0714.05603842054471.19631813670892
0.0814.39308090706321.22299995039555
0.0914.72227043943441.22320430166623
0.115.04057745356811.21157346978931
0.1115.34636300885971.19980319968875
0.1215.63943671834671.19386419669903
0.1315.92066931307971.19437115025455
0.1416.19144278847221.1987226727782
0.1516.45318436115511.20356625504798
0.1616.70710635171871.20638801523337
0.1716.95415782599291.20635924761723
0.1817.19512472735141.20443965285724
0.1917.43079429046381.20300175787872
0.217.66211099770831.2053143717647
0.2117.89027744268811.2147435365586
0.2218.11678102797911.23420175806676
0.2318.34334918160471.26554863907259
0.2418.57184922724071.3094391422656
0.2518.8041547052531.36527593740612
0.2619.04199983067431.43139363671497
0.2719.28684030802321.50526336344118
0.2819.53973402728091.58372362794577
0.2919.80125070682971.6631413848991
0.320.07141603368561.73969922858921
0.3120.3496933293931.80950407885041
0.3220.63500387384191.86885801648912
0.3320.92578524669441.91452298031525
0.3421.22008500746581.94397133802496
0.3521.51568460624911.95558296392747
0.3621.81024577289891.94882726555976
0.3722.10146917685041.92436350085701
0.3822.38725337657951.88399567871847
0.3922.66584141649441.83068069364559
0.422.93594311970151.76822442148896
0.4123.19682315357841.7010819219661
0.4223.44834805004661.63411133974639
0.4323.69098910305321.57214065628372
0.4423.92578192654031.51967053073309
0.4524.15424695779511.48052113893349
0.4624.37827797901311.45748105325924
0.4724.6000076216631.4520811996113
0.4824.82165980287931.46440533173381
0.4925.04539924027231.49316085764777
0.525.2731877863631.5358610979495
0.5125.50665649895991.58903519981604
0.5225.74700124776181.64866844583546
0.5325.99490830248641.71036698193899
0.5426.25051474000611.76968509105512
0.5526.51340660428731.822474545819
0.5626.78265553120921.86500643645744
0.5727.05689205611291.89430576591456
0.5827.33441119676081.90831819937412
0.5927.6133033857251.90598919602491
0.627.89160171649121.88740992994357
0.6128.16743507774041.85379044233751
0.6228.43917633027831.80739852448442
0.6328.70557535265811.75135992705951
0.6428.96586849002111.68953251598797
0.6529.21985843929161.62621856596954
0.6629.46796147870551.56592896201148
0.6729.71122168645281.51313786403625
0.6829.95129387862681.47201701013943
0.6930.1903980387361.44622442771738
0.730.431247855821.43875112105816
0.7130.67695480464921.45172644405051
0.7230.93090750552311.48633212006287
0.7331.1966246961731.54261080406671
0.7431.47757997262161.61946230307283
0.7531.77699835074281.71437754606623
0.7632.09762913725211.82340628500894
0.7732.44150643071051.94117281609029
0.7832.80971688364472.06083722467323
0.7933.20220247651142.17453137131749
0.833.61763177558732.27390925932503
0.8134.05337412399142.35073986465211
0.8234.50560547656732.39795074844752
0.8334.96956105909272.41036100945507
0.8435.43992894433772.38554683613752
0.8535.91135175760592.32437203874162
0.8636.37897433484232.23108778006004
0.8736.83894781896982.11312831967141
0.8837.28878087014741.98024995938676
0.8937.72742248217591.84312972639267
0.938.15497514952131.71134315278133
0.9138.57197994889111.59100585358547
0.9238.97829640460011.48227352656674
0.9339.37172934794291.37799065837023
0.9439.74673220372861.26413767512634
0.9540.09371076820251.12282861570461
0.9640.3995747115850.938130364369127
0.9740.65007549896240.704839692853353
0.9840.83394466217390.438826925182376
0.9940.94784782878550.183261080439277

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12.1613248603062 & 0.898863653921235 \tabularnewline
0.02 & 12.4096376625454 & 0.832134634831524 \tabularnewline
0.03 & 12.7102573271848 & 0.835967033752651 \tabularnewline
0.04 & 13.0365225452252 & 0.917186282448542 \tabularnewline
0.05 & 13.373739829291 & 1.03129502595293 \tabularnewline
0.06 & 13.7149644220842 & 1.1319807616718 \tabularnewline
0.07 & 14.0560384205447 & 1.19631813670892 \tabularnewline
0.08 & 14.3930809070632 & 1.22299995039555 \tabularnewline
0.09 & 14.7222704394344 & 1.22320430166623 \tabularnewline
0.1 & 15.0405774535681 & 1.21157346978931 \tabularnewline
0.11 & 15.3463630088597 & 1.19980319968875 \tabularnewline
0.12 & 15.6394367183467 & 1.19386419669903 \tabularnewline
0.13 & 15.9206693130797 & 1.19437115025455 \tabularnewline
0.14 & 16.1914427884722 & 1.1987226727782 \tabularnewline
0.15 & 16.4531843611551 & 1.20356625504798 \tabularnewline
0.16 & 16.7071063517187 & 1.20638801523337 \tabularnewline
0.17 & 16.9541578259929 & 1.20635924761723 \tabularnewline
0.18 & 17.1951247273514 & 1.20443965285724 \tabularnewline
0.19 & 17.4307942904638 & 1.20300175787872 \tabularnewline
0.2 & 17.6621109977083 & 1.2053143717647 \tabularnewline
0.21 & 17.8902774426881 & 1.2147435365586 \tabularnewline
0.22 & 18.1167810279791 & 1.23420175806676 \tabularnewline
0.23 & 18.3433491816047 & 1.26554863907259 \tabularnewline
0.24 & 18.5718492272407 & 1.3094391422656 \tabularnewline
0.25 & 18.804154705253 & 1.36527593740612 \tabularnewline
0.26 & 19.0419998306743 & 1.43139363671497 \tabularnewline
0.27 & 19.2868403080232 & 1.50526336344118 \tabularnewline
0.28 & 19.5397340272809 & 1.58372362794577 \tabularnewline
0.29 & 19.8012507068297 & 1.6631413848991 \tabularnewline
0.3 & 20.0714160336856 & 1.73969922858921 \tabularnewline
0.31 & 20.349693329393 & 1.80950407885041 \tabularnewline
0.32 & 20.6350038738419 & 1.86885801648912 \tabularnewline
0.33 & 20.9257852466944 & 1.91452298031525 \tabularnewline
0.34 & 21.2200850074658 & 1.94397133802496 \tabularnewline
0.35 & 21.5156846062491 & 1.95558296392747 \tabularnewline
0.36 & 21.8102457728989 & 1.94882726555976 \tabularnewline
0.37 & 22.1014691768504 & 1.92436350085701 \tabularnewline
0.38 & 22.3872533765795 & 1.88399567871847 \tabularnewline
0.39 & 22.6658414164944 & 1.83068069364559 \tabularnewline
0.4 & 22.9359431197015 & 1.76822442148896 \tabularnewline
0.41 & 23.1968231535784 & 1.7010819219661 \tabularnewline
0.42 & 23.4483480500466 & 1.63411133974639 \tabularnewline
0.43 & 23.6909891030532 & 1.57214065628372 \tabularnewline
0.44 & 23.9257819265403 & 1.51967053073309 \tabularnewline
0.45 & 24.1542469577951 & 1.48052113893349 \tabularnewline
0.46 & 24.3782779790131 & 1.45748105325924 \tabularnewline
0.47 & 24.600007621663 & 1.4520811996113 \tabularnewline
0.48 & 24.8216598028793 & 1.46440533173381 \tabularnewline
0.49 & 25.0453992402723 & 1.49316085764777 \tabularnewline
0.5 & 25.273187786363 & 1.5358610979495 \tabularnewline
0.51 & 25.5066564989599 & 1.58903519981604 \tabularnewline
0.52 & 25.7470012477618 & 1.64866844583546 \tabularnewline
0.53 & 25.9949083024864 & 1.71036698193899 \tabularnewline
0.54 & 26.2505147400061 & 1.76968509105512 \tabularnewline
0.55 & 26.5134066042873 & 1.822474545819 \tabularnewline
0.56 & 26.7826555312092 & 1.86500643645744 \tabularnewline
0.57 & 27.0568920561129 & 1.89430576591456 \tabularnewline
0.58 & 27.3344111967608 & 1.90831819937412 \tabularnewline
0.59 & 27.613303385725 & 1.90598919602491 \tabularnewline
0.6 & 27.8916017164912 & 1.88740992994357 \tabularnewline
0.61 & 28.1674350777404 & 1.85379044233751 \tabularnewline
0.62 & 28.4391763302783 & 1.80739852448442 \tabularnewline
0.63 & 28.7055753526581 & 1.75135992705951 \tabularnewline
0.64 & 28.9658684900211 & 1.68953251598797 \tabularnewline
0.65 & 29.2198584392916 & 1.62621856596954 \tabularnewline
0.66 & 29.4679614787055 & 1.56592896201148 \tabularnewline
0.67 & 29.7112216864528 & 1.51313786403625 \tabularnewline
0.68 & 29.9512938786268 & 1.47201701013943 \tabularnewline
0.69 & 30.190398038736 & 1.44622442771738 \tabularnewline
0.7 & 30.43124785582 & 1.43875112105816 \tabularnewline
0.71 & 30.6769548046492 & 1.45172644405051 \tabularnewline
0.72 & 30.9309075055231 & 1.48633212006287 \tabularnewline
0.73 & 31.196624696173 & 1.54261080406671 \tabularnewline
0.74 & 31.4775799726216 & 1.61946230307283 \tabularnewline
0.75 & 31.7769983507428 & 1.71437754606623 \tabularnewline
0.76 & 32.0976291372521 & 1.82340628500894 \tabularnewline
0.77 & 32.4415064307105 & 1.94117281609029 \tabularnewline
0.78 & 32.8097168836447 & 2.06083722467323 \tabularnewline
0.79 & 33.2022024765114 & 2.17453137131749 \tabularnewline
0.8 & 33.6176317755873 & 2.27390925932503 \tabularnewline
0.81 & 34.0533741239914 & 2.35073986465211 \tabularnewline
0.82 & 34.5056054765673 & 2.39795074844752 \tabularnewline
0.83 & 34.9695610590927 & 2.41036100945507 \tabularnewline
0.84 & 35.4399289443377 & 2.38554683613752 \tabularnewline
0.85 & 35.9113517576059 & 2.32437203874162 \tabularnewline
0.86 & 36.3789743348423 & 2.23108778006004 \tabularnewline
0.87 & 36.8389478189698 & 2.11312831967141 \tabularnewline
0.88 & 37.2887808701474 & 1.98024995938676 \tabularnewline
0.89 & 37.7274224821759 & 1.84312972639267 \tabularnewline
0.9 & 38.1549751495213 & 1.71134315278133 \tabularnewline
0.91 & 38.5719799488911 & 1.59100585358547 \tabularnewline
0.92 & 38.9782964046001 & 1.48227352656674 \tabularnewline
0.93 & 39.3717293479429 & 1.37799065837023 \tabularnewline
0.94 & 39.7467322037286 & 1.26413767512634 \tabularnewline
0.95 & 40.0937107682025 & 1.12282861570461 \tabularnewline
0.96 & 40.399574711585 & 0.938130364369127 \tabularnewline
0.97 & 40.6500754989624 & 0.704839692853353 \tabularnewline
0.98 & 40.8339446621739 & 0.438826925182376 \tabularnewline
0.99 & 40.9478478287855 & 0.183261080439277 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]12.1613248603062[/C][C]0.898863653921235[/C][/ROW]
[ROW][C]0.02[/C][C]12.4096376625454[/C][C]0.832134634831524[/C][/ROW]
[ROW][C]0.03[/C][C]12.7102573271848[/C][C]0.835967033752651[/C][/ROW]
[ROW][C]0.04[/C][C]13.0365225452252[/C][C]0.917186282448542[/C][/ROW]
[ROW][C]0.05[/C][C]13.373739829291[/C][C]1.03129502595293[/C][/ROW]
[ROW][C]0.06[/C][C]13.7149644220842[/C][C]1.1319807616718[/C][/ROW]
[ROW][C]0.07[/C][C]14.0560384205447[/C][C]1.19631813670892[/C][/ROW]
[ROW][C]0.08[/C][C]14.3930809070632[/C][C]1.22299995039555[/C][/ROW]
[ROW][C]0.09[/C][C]14.7222704394344[/C][C]1.22320430166623[/C][/ROW]
[ROW][C]0.1[/C][C]15.0405774535681[/C][C]1.21157346978931[/C][/ROW]
[ROW][C]0.11[/C][C]15.3463630088597[/C][C]1.19980319968875[/C][/ROW]
[ROW][C]0.12[/C][C]15.6394367183467[/C][C]1.19386419669903[/C][/ROW]
[ROW][C]0.13[/C][C]15.9206693130797[/C][C]1.19437115025455[/C][/ROW]
[ROW][C]0.14[/C][C]16.1914427884722[/C][C]1.1987226727782[/C][/ROW]
[ROW][C]0.15[/C][C]16.4531843611551[/C][C]1.20356625504798[/C][/ROW]
[ROW][C]0.16[/C][C]16.7071063517187[/C][C]1.20638801523337[/C][/ROW]
[ROW][C]0.17[/C][C]16.9541578259929[/C][C]1.20635924761723[/C][/ROW]
[ROW][C]0.18[/C][C]17.1951247273514[/C][C]1.20443965285724[/C][/ROW]
[ROW][C]0.19[/C][C]17.4307942904638[/C][C]1.20300175787872[/C][/ROW]
[ROW][C]0.2[/C][C]17.6621109977083[/C][C]1.2053143717647[/C][/ROW]
[ROW][C]0.21[/C][C]17.8902774426881[/C][C]1.2147435365586[/C][/ROW]
[ROW][C]0.22[/C][C]18.1167810279791[/C][C]1.23420175806676[/C][/ROW]
[ROW][C]0.23[/C][C]18.3433491816047[/C][C]1.26554863907259[/C][/ROW]
[ROW][C]0.24[/C][C]18.5718492272407[/C][C]1.3094391422656[/C][/ROW]
[ROW][C]0.25[/C][C]18.804154705253[/C][C]1.36527593740612[/C][/ROW]
[ROW][C]0.26[/C][C]19.0419998306743[/C][C]1.43139363671497[/C][/ROW]
[ROW][C]0.27[/C][C]19.2868403080232[/C][C]1.50526336344118[/C][/ROW]
[ROW][C]0.28[/C][C]19.5397340272809[/C][C]1.58372362794577[/C][/ROW]
[ROW][C]0.29[/C][C]19.8012507068297[/C][C]1.6631413848991[/C][/ROW]
[ROW][C]0.3[/C][C]20.0714160336856[/C][C]1.73969922858921[/C][/ROW]
[ROW][C]0.31[/C][C]20.349693329393[/C][C]1.80950407885041[/C][/ROW]
[ROW][C]0.32[/C][C]20.6350038738419[/C][C]1.86885801648912[/C][/ROW]
[ROW][C]0.33[/C][C]20.9257852466944[/C][C]1.91452298031525[/C][/ROW]
[ROW][C]0.34[/C][C]21.2200850074658[/C][C]1.94397133802496[/C][/ROW]
[ROW][C]0.35[/C][C]21.5156846062491[/C][C]1.95558296392747[/C][/ROW]
[ROW][C]0.36[/C][C]21.8102457728989[/C][C]1.94882726555976[/C][/ROW]
[ROW][C]0.37[/C][C]22.1014691768504[/C][C]1.92436350085701[/C][/ROW]
[ROW][C]0.38[/C][C]22.3872533765795[/C][C]1.88399567871847[/C][/ROW]
[ROW][C]0.39[/C][C]22.6658414164944[/C][C]1.83068069364559[/C][/ROW]
[ROW][C]0.4[/C][C]22.9359431197015[/C][C]1.76822442148896[/C][/ROW]
[ROW][C]0.41[/C][C]23.1968231535784[/C][C]1.7010819219661[/C][/ROW]
[ROW][C]0.42[/C][C]23.4483480500466[/C][C]1.63411133974639[/C][/ROW]
[ROW][C]0.43[/C][C]23.6909891030532[/C][C]1.57214065628372[/C][/ROW]
[ROW][C]0.44[/C][C]23.9257819265403[/C][C]1.51967053073309[/C][/ROW]
[ROW][C]0.45[/C][C]24.1542469577951[/C][C]1.48052113893349[/C][/ROW]
[ROW][C]0.46[/C][C]24.3782779790131[/C][C]1.45748105325924[/C][/ROW]
[ROW][C]0.47[/C][C]24.600007621663[/C][C]1.4520811996113[/C][/ROW]
[ROW][C]0.48[/C][C]24.8216598028793[/C][C]1.46440533173381[/C][/ROW]
[ROW][C]0.49[/C][C]25.0453992402723[/C][C]1.49316085764777[/C][/ROW]
[ROW][C]0.5[/C][C]25.273187786363[/C][C]1.5358610979495[/C][/ROW]
[ROW][C]0.51[/C][C]25.5066564989599[/C][C]1.58903519981604[/C][/ROW]
[ROW][C]0.52[/C][C]25.7470012477618[/C][C]1.64866844583546[/C][/ROW]
[ROW][C]0.53[/C][C]25.9949083024864[/C][C]1.71036698193899[/C][/ROW]
[ROW][C]0.54[/C][C]26.2505147400061[/C][C]1.76968509105512[/C][/ROW]
[ROW][C]0.55[/C][C]26.5134066042873[/C][C]1.822474545819[/C][/ROW]
[ROW][C]0.56[/C][C]26.7826555312092[/C][C]1.86500643645744[/C][/ROW]
[ROW][C]0.57[/C][C]27.0568920561129[/C][C]1.89430576591456[/C][/ROW]
[ROW][C]0.58[/C][C]27.3344111967608[/C][C]1.90831819937412[/C][/ROW]
[ROW][C]0.59[/C][C]27.613303385725[/C][C]1.90598919602491[/C][/ROW]
[ROW][C]0.6[/C][C]27.8916017164912[/C][C]1.88740992994357[/C][/ROW]
[ROW][C]0.61[/C][C]28.1674350777404[/C][C]1.85379044233751[/C][/ROW]
[ROW][C]0.62[/C][C]28.4391763302783[/C][C]1.80739852448442[/C][/ROW]
[ROW][C]0.63[/C][C]28.7055753526581[/C][C]1.75135992705951[/C][/ROW]
[ROW][C]0.64[/C][C]28.9658684900211[/C][C]1.68953251598797[/C][/ROW]
[ROW][C]0.65[/C][C]29.2198584392916[/C][C]1.62621856596954[/C][/ROW]
[ROW][C]0.66[/C][C]29.4679614787055[/C][C]1.56592896201148[/C][/ROW]
[ROW][C]0.67[/C][C]29.7112216864528[/C][C]1.51313786403625[/C][/ROW]
[ROW][C]0.68[/C][C]29.9512938786268[/C][C]1.47201701013943[/C][/ROW]
[ROW][C]0.69[/C][C]30.190398038736[/C][C]1.44622442771738[/C][/ROW]
[ROW][C]0.7[/C][C]30.43124785582[/C][C]1.43875112105816[/C][/ROW]
[ROW][C]0.71[/C][C]30.6769548046492[/C][C]1.45172644405051[/C][/ROW]
[ROW][C]0.72[/C][C]30.9309075055231[/C][C]1.48633212006287[/C][/ROW]
[ROW][C]0.73[/C][C]31.196624696173[/C][C]1.54261080406671[/C][/ROW]
[ROW][C]0.74[/C][C]31.4775799726216[/C][C]1.61946230307283[/C][/ROW]
[ROW][C]0.75[/C][C]31.7769983507428[/C][C]1.71437754606623[/C][/ROW]
[ROW][C]0.76[/C][C]32.0976291372521[/C][C]1.82340628500894[/C][/ROW]
[ROW][C]0.77[/C][C]32.4415064307105[/C][C]1.94117281609029[/C][/ROW]
[ROW][C]0.78[/C][C]32.8097168836447[/C][C]2.06083722467323[/C][/ROW]
[ROW][C]0.79[/C][C]33.2022024765114[/C][C]2.17453137131749[/C][/ROW]
[ROW][C]0.8[/C][C]33.6176317755873[/C][C]2.27390925932503[/C][/ROW]
[ROW][C]0.81[/C][C]34.0533741239914[/C][C]2.35073986465211[/C][/ROW]
[ROW][C]0.82[/C][C]34.5056054765673[/C][C]2.39795074844752[/C][/ROW]
[ROW][C]0.83[/C][C]34.9695610590927[/C][C]2.41036100945507[/C][/ROW]
[ROW][C]0.84[/C][C]35.4399289443377[/C][C]2.38554683613752[/C][/ROW]
[ROW][C]0.85[/C][C]35.9113517576059[/C][C]2.32437203874162[/C][/ROW]
[ROW][C]0.86[/C][C]36.3789743348423[/C][C]2.23108778006004[/C][/ROW]
[ROW][C]0.87[/C][C]36.8389478189698[/C][C]2.11312831967141[/C][/ROW]
[ROW][C]0.88[/C][C]37.2887808701474[/C][C]1.98024995938676[/C][/ROW]
[ROW][C]0.89[/C][C]37.7274224821759[/C][C]1.84312972639267[/C][/ROW]
[ROW][C]0.9[/C][C]38.1549751495213[/C][C]1.71134315278133[/C][/ROW]
[ROW][C]0.91[/C][C]38.5719799488911[/C][C]1.59100585358547[/C][/ROW]
[ROW][C]0.92[/C][C]38.9782964046001[/C][C]1.48227352656674[/C][/ROW]
[ROW][C]0.93[/C][C]39.3717293479429[/C][C]1.37799065837023[/C][/ROW]
[ROW][C]0.94[/C][C]39.7467322037286[/C][C]1.26413767512634[/C][/ROW]
[ROW][C]0.95[/C][C]40.0937107682025[/C][C]1.12282861570461[/C][/ROW]
[ROW][C]0.96[/C][C]40.399574711585[/C][C]0.938130364369127[/C][/ROW]
[ROW][C]0.97[/C][C]40.6500754989624[/C][C]0.704839692853353[/C][/ROW]
[ROW][C]0.98[/C][C]40.8339446621739[/C][C]0.438826925182376[/C][/ROW]
[ROW][C]0.99[/C][C]40.9478478287855[/C][C]0.183261080439277[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0112.16132486030620.898863653921235
0.0212.40963766254540.832134634831524
0.0312.71025732718480.835967033752651
0.0413.03652254522520.917186282448542
0.0513.3737398292911.03129502595293
0.0613.71496442208421.1319807616718
0.0714.05603842054471.19631813670892
0.0814.39308090706321.22299995039555
0.0914.72227043943441.22320430166623
0.115.04057745356811.21157346978931
0.1115.34636300885971.19980319968875
0.1215.63943671834671.19386419669903
0.1315.92066931307971.19437115025455
0.1416.19144278847221.1987226727782
0.1516.45318436115511.20356625504798
0.1616.70710635171871.20638801523337
0.1716.95415782599291.20635924761723
0.1817.19512472735141.20443965285724
0.1917.43079429046381.20300175787872
0.217.66211099770831.2053143717647
0.2117.89027744268811.2147435365586
0.2218.11678102797911.23420175806676
0.2318.34334918160471.26554863907259
0.2418.57184922724071.3094391422656
0.2518.8041547052531.36527593740612
0.2619.04199983067431.43139363671497
0.2719.28684030802321.50526336344118
0.2819.53973402728091.58372362794577
0.2919.80125070682971.6631413848991
0.320.07141603368561.73969922858921
0.3120.3496933293931.80950407885041
0.3220.63500387384191.86885801648912
0.3320.92578524669441.91452298031525
0.3421.22008500746581.94397133802496
0.3521.51568460624911.95558296392747
0.3621.81024577289891.94882726555976
0.3722.10146917685041.92436350085701
0.3822.38725337657951.88399567871847
0.3922.66584141649441.83068069364559
0.422.93594311970151.76822442148896
0.4123.19682315357841.7010819219661
0.4223.44834805004661.63411133974639
0.4323.69098910305321.57214065628372
0.4423.92578192654031.51967053073309
0.4524.15424695779511.48052113893349
0.4624.37827797901311.45748105325924
0.4724.6000076216631.4520811996113
0.4824.82165980287931.46440533173381
0.4925.04539924027231.49316085764777
0.525.2731877863631.5358610979495
0.5125.50665649895991.58903519981604
0.5225.74700124776181.64866844583546
0.5325.99490830248641.71036698193899
0.5426.25051474000611.76968509105512
0.5526.51340660428731.822474545819
0.5626.78265553120921.86500643645744
0.5727.05689205611291.89430576591456
0.5827.33441119676081.90831819937412
0.5927.6133033857251.90598919602491
0.627.89160171649121.88740992994357
0.6128.16743507774041.85379044233751
0.6228.43917633027831.80739852448442
0.6328.70557535265811.75135992705951
0.6428.96586849002111.68953251598797
0.6529.21985843929161.62621856596954
0.6629.46796147870551.56592896201148
0.6729.71122168645281.51313786403625
0.6829.95129387862681.47201701013943
0.6930.1903980387361.44622442771738
0.730.431247855821.43875112105816
0.7130.67695480464921.45172644405051
0.7230.93090750552311.48633212006287
0.7331.1966246961731.54261080406671
0.7431.47757997262161.61946230307283
0.7531.77699835074281.71437754606623
0.7632.09762913725211.82340628500894
0.7732.44150643071051.94117281609029
0.7832.80971688364472.06083722467323
0.7933.20220247651142.17453137131749
0.833.61763177558732.27390925932503
0.8134.05337412399142.35073986465211
0.8234.50560547656732.39795074844752
0.8334.96956105909272.41036100945507
0.8435.43992894433772.38554683613752
0.8535.91135175760592.32437203874162
0.8636.37897433484232.23108778006004
0.8736.83894781896982.11312831967141
0.8837.28878087014741.98024995938676
0.8937.72742248217591.84312972639267
0.938.15497514952131.71134315278133
0.9138.57197994889111.59100585358547
0.9238.97829640460011.48227352656674
0.9339.37172934794291.37799065837023
0.9439.74673220372861.26413767512634
0.9540.09371076820251.12282861570461
0.9640.3995747115850.938130364369127
0.9740.65007549896240.704839692853353
0.9840.83394466217390.438826925182376
0.9940.94784782878550.183261080439277


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):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.01'
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')