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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 24 May 2012 06:21:54 -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/2012/May/24/t1337854946q0bfvaxyapfkoia.htm/, Retrieved Sun, 05 May 2024 17:52:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167288, Retrieved Sun, 05 May 2024 17:52:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [jens vanpachtenbe...] [2012-05-24 10:21:54] [4080e77d9380e2af46712fd05e0afa1e] [Current]
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Dataseries X:
2.3
2.31
2.31
2.32
2.33
2.34
2.36
2.37
2.37
2.38
2.39
2.4
2.4
2.39
2.4
2.42
2.42
2.44
2.44
2.44
2.45
2.46
2.47
2.48
2.48
2.49
2.5
2.51
2.52
2.52
2.52
2.54
2.54
2.54
2.56
2.57
2.58
2.58
2.58
2.58
2.59
2.6
2.61
2.61
2.62
2.63
2.65
2.67
2.68
2.67
2.68
2.68
2.68
2.68
2.69
2.69
2.69
2.7
2.71
2.72
2.71
2.72
2.73
2.74
2.74
2.75
2.75
2.76
2.75
2.78
2.79
2.8
2.81
2.81
2.82
2.82
2.83
2.83
2.84
2.84
2.84
2.86
2.87




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167288&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167288&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167288&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'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.303481850451990.00806057072424888
0.022.308707938766950.00807067944337788
0.032.314608515303870.011179889209998
0.042.321266644931770.0151915960329413
0.052.328821789394020.0185817567110718
0.062.337041726573310.0207603775224783
0.072.345484666008950.0216336096865405
0.082.35372455783340.0214221444040692
0.092.361468986656940.0205486217735979
0.12.368586578354090.0194683874446952
0.112.375083290844520.0185416687310236
0.122.381056711127540.0179701988878348
0.132.386649254016930.0178329869530189
0.142.392012023391050.0181326933301604
0.152.397281788554660.0188196504648888
0.162.402568197033590.019792928082806
0.172.407947846591670.0209240200716392
0.182.413463567060930.0220855125476702
0.192.419128408045820.02317071750331
0.22.424933469824910.0241266563162893
0.212.430857624972660.0249468188077335
0.222.436876548492810.0256608431207079
0.232.442968900706520.0263014827266591
0.242.449118765838150.0269009553883039
0.252.455314860692680.0274635056368646
0.262.461547962666150.0279850635334
0.272.467808197830240.0284387721454715
0.282.474083397820250.0288029073615387
0.292.480359012365260.0290684619212648
0.32.48661938757940.0292337449725773
0.312.49284979078490.0293072337860337
0.322.499038427422720.0293170226707807
0.332.505177798976850.029288367504955
0.342.511265003771960.029249006043445
0.352.517300904446670.0292196122012731
0.362.523288411525230.0292020954192391
0.372.529230400901150.0291922535932518
0.382.535127932333790.0291675091962657
0.392.540979414804910.0291045392533412
0.42.546781154706840.0289865586949278
0.412.552529358635410.0288134207702891
0.422.558223231499180.0286015876023612
0.432.563868431395030.0284129767038988
0.442.569479927939740.0283043845415283
0.452.57508333003120.0283526301787911
0.462.580714006613870.0286195482396933
0.472.586413759893220.0291392513557523
0.482.592225322032340.0299061609869139
0.492.598185420762960.0308667145377884
0.52.604317502548810.0319195341203194
0.512.610625355657640.0329386819698121
0.522.617088819503640.0337829360415756
0.532.623662511785410.0343052990115951
0.542.630278085057210.0343867073713443
0.552.636849992316810.033953620593194
0.562.643284169238840.0329760700079478
0.572.6494885192790.0314939899572528
0.582.655383716338310.0295972508100544
0.592.660912706155270.0274237705041445
0.62.666047442745810.0251472264109292
0.612.67079183079830.0229473189871333
0.622.675180482405330.020994435046618
0.632.67927360675980.0194264891555999
0.642.68314898329180.018326058581078
0.652.686892390964650.0177168769852947
0.662.690588003479580.017552348608125
0.672.694310110523220.0177460195806785
0.682.698117157718830.0181800016778332
0.692.702048627124330.0187340783963229
0.72.706124828719240.0193134715319516
0.712.71034933252280.0198342460751655
0.722.714713569838340.0202467971921256
0.732.719203027652650.0205339748059773
0.742.723804357147860.0207068452280517
0.752.728512519101830.0208211600197488
0.762.733336768553870.020947052426407
0.772.738303941617740.0211828599029009
0.782.743457391815710.0216131272397531
0.792.748850338809910.0222841757635183
0.82.75453354778220.0231728207240001
0.812.760539070993080.0241650795813465
0.822.766863764473120.0250684086916557
0.832.773457615874320.0256537767704164
0.842.780221724922330.0257123018412833
0.852.787018624046630.0251159342248232
0.862.793693868832220.0238489893005884
0.872.800103670339270.0220259773798829
0.882.806140440285650.0198562387017253
0.892.811747905323280.0175912075852961
0.92.81692062758170.0154484493147452
0.912.821689449375430.0135486855122261
0.922.826104379316990.0118911129307849
0.932.830237816976690.0104150611464983
0.942.834234511429520.00914324470904688
0.952.838407914691030.00843949954791881
0.962.843302595602270.00905163518034703
0.972.8495343507130.0110047381147769
0.982.857207646231280.0124831813589286
0.992.86501007967210.0115818976968023

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.30348185045199 & 0.00806057072424888 \tabularnewline
0.02 & 2.30870793876695 & 0.00807067944337788 \tabularnewline
0.03 & 2.31460851530387 & 0.011179889209998 \tabularnewline
0.04 & 2.32126664493177 & 0.0151915960329413 \tabularnewline
0.05 & 2.32882178939402 & 0.0185817567110718 \tabularnewline
0.06 & 2.33704172657331 & 0.0207603775224783 \tabularnewline
0.07 & 2.34548466600895 & 0.0216336096865405 \tabularnewline
0.08 & 2.3537245578334 & 0.0214221444040692 \tabularnewline
0.09 & 2.36146898665694 & 0.0205486217735979 \tabularnewline
0.1 & 2.36858657835409 & 0.0194683874446952 \tabularnewline
0.11 & 2.37508329084452 & 0.0185416687310236 \tabularnewline
0.12 & 2.38105671112754 & 0.0179701988878348 \tabularnewline
0.13 & 2.38664925401693 & 0.0178329869530189 \tabularnewline
0.14 & 2.39201202339105 & 0.0181326933301604 \tabularnewline
0.15 & 2.39728178855466 & 0.0188196504648888 \tabularnewline
0.16 & 2.40256819703359 & 0.019792928082806 \tabularnewline
0.17 & 2.40794784659167 & 0.0209240200716392 \tabularnewline
0.18 & 2.41346356706093 & 0.0220855125476702 \tabularnewline
0.19 & 2.41912840804582 & 0.02317071750331 \tabularnewline
0.2 & 2.42493346982491 & 0.0241266563162893 \tabularnewline
0.21 & 2.43085762497266 & 0.0249468188077335 \tabularnewline
0.22 & 2.43687654849281 & 0.0256608431207079 \tabularnewline
0.23 & 2.44296890070652 & 0.0263014827266591 \tabularnewline
0.24 & 2.44911876583815 & 0.0269009553883039 \tabularnewline
0.25 & 2.45531486069268 & 0.0274635056368646 \tabularnewline
0.26 & 2.46154796266615 & 0.0279850635334 \tabularnewline
0.27 & 2.46780819783024 & 0.0284387721454715 \tabularnewline
0.28 & 2.47408339782025 & 0.0288029073615387 \tabularnewline
0.29 & 2.48035901236526 & 0.0290684619212648 \tabularnewline
0.3 & 2.4866193875794 & 0.0292337449725773 \tabularnewline
0.31 & 2.4928497907849 & 0.0293072337860337 \tabularnewline
0.32 & 2.49903842742272 & 0.0293170226707807 \tabularnewline
0.33 & 2.50517779897685 & 0.029288367504955 \tabularnewline
0.34 & 2.51126500377196 & 0.029249006043445 \tabularnewline
0.35 & 2.51730090444667 & 0.0292196122012731 \tabularnewline
0.36 & 2.52328841152523 & 0.0292020954192391 \tabularnewline
0.37 & 2.52923040090115 & 0.0291922535932518 \tabularnewline
0.38 & 2.53512793233379 & 0.0291675091962657 \tabularnewline
0.39 & 2.54097941480491 & 0.0291045392533412 \tabularnewline
0.4 & 2.54678115470684 & 0.0289865586949278 \tabularnewline
0.41 & 2.55252935863541 & 0.0288134207702891 \tabularnewline
0.42 & 2.55822323149918 & 0.0286015876023612 \tabularnewline
0.43 & 2.56386843139503 & 0.0284129767038988 \tabularnewline
0.44 & 2.56947992793974 & 0.0283043845415283 \tabularnewline
0.45 & 2.5750833300312 & 0.0283526301787911 \tabularnewline
0.46 & 2.58071400661387 & 0.0286195482396933 \tabularnewline
0.47 & 2.58641375989322 & 0.0291392513557523 \tabularnewline
0.48 & 2.59222532203234 & 0.0299061609869139 \tabularnewline
0.49 & 2.59818542076296 & 0.0308667145377884 \tabularnewline
0.5 & 2.60431750254881 & 0.0319195341203194 \tabularnewline
0.51 & 2.61062535565764 & 0.0329386819698121 \tabularnewline
0.52 & 2.61708881950364 & 0.0337829360415756 \tabularnewline
0.53 & 2.62366251178541 & 0.0343052990115951 \tabularnewline
0.54 & 2.63027808505721 & 0.0343867073713443 \tabularnewline
0.55 & 2.63684999231681 & 0.033953620593194 \tabularnewline
0.56 & 2.64328416923884 & 0.0329760700079478 \tabularnewline
0.57 & 2.649488519279 & 0.0314939899572528 \tabularnewline
0.58 & 2.65538371633831 & 0.0295972508100544 \tabularnewline
0.59 & 2.66091270615527 & 0.0274237705041445 \tabularnewline
0.6 & 2.66604744274581 & 0.0251472264109292 \tabularnewline
0.61 & 2.6707918307983 & 0.0229473189871333 \tabularnewline
0.62 & 2.67518048240533 & 0.020994435046618 \tabularnewline
0.63 & 2.6792736067598 & 0.0194264891555999 \tabularnewline
0.64 & 2.6831489832918 & 0.018326058581078 \tabularnewline
0.65 & 2.68689239096465 & 0.0177168769852947 \tabularnewline
0.66 & 2.69058800347958 & 0.017552348608125 \tabularnewline
0.67 & 2.69431011052322 & 0.0177460195806785 \tabularnewline
0.68 & 2.69811715771883 & 0.0181800016778332 \tabularnewline
0.69 & 2.70204862712433 & 0.0187340783963229 \tabularnewline
0.7 & 2.70612482871924 & 0.0193134715319516 \tabularnewline
0.71 & 2.7103493325228 & 0.0198342460751655 \tabularnewline
0.72 & 2.71471356983834 & 0.0202467971921256 \tabularnewline
0.73 & 2.71920302765265 & 0.0205339748059773 \tabularnewline
0.74 & 2.72380435714786 & 0.0207068452280517 \tabularnewline
0.75 & 2.72851251910183 & 0.0208211600197488 \tabularnewline
0.76 & 2.73333676855387 & 0.020947052426407 \tabularnewline
0.77 & 2.73830394161774 & 0.0211828599029009 \tabularnewline
0.78 & 2.74345739181571 & 0.0216131272397531 \tabularnewline
0.79 & 2.74885033880991 & 0.0222841757635183 \tabularnewline
0.8 & 2.7545335477822 & 0.0231728207240001 \tabularnewline
0.81 & 2.76053907099308 & 0.0241650795813465 \tabularnewline
0.82 & 2.76686376447312 & 0.0250684086916557 \tabularnewline
0.83 & 2.77345761587432 & 0.0256537767704164 \tabularnewline
0.84 & 2.78022172492233 & 0.0257123018412833 \tabularnewline
0.85 & 2.78701862404663 & 0.0251159342248232 \tabularnewline
0.86 & 2.79369386883222 & 0.0238489893005884 \tabularnewline
0.87 & 2.80010367033927 & 0.0220259773798829 \tabularnewline
0.88 & 2.80614044028565 & 0.0198562387017253 \tabularnewline
0.89 & 2.81174790532328 & 0.0175912075852961 \tabularnewline
0.9 & 2.8169206275817 & 0.0154484493147452 \tabularnewline
0.91 & 2.82168944937543 & 0.0135486855122261 \tabularnewline
0.92 & 2.82610437931699 & 0.0118911129307849 \tabularnewline
0.93 & 2.83023781697669 & 0.0104150611464983 \tabularnewline
0.94 & 2.83423451142952 & 0.00914324470904688 \tabularnewline
0.95 & 2.83840791469103 & 0.00843949954791881 \tabularnewline
0.96 & 2.84330259560227 & 0.00905163518034703 \tabularnewline
0.97 & 2.849534350713 & 0.0110047381147769 \tabularnewline
0.98 & 2.85720764623128 & 0.0124831813589286 \tabularnewline
0.99 & 2.8650100796721 & 0.0115818976968023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167288&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]2.30348185045199[/C][C]0.00806057072424888[/C][/ROW]
[ROW][C]0.02[/C][C]2.30870793876695[/C][C]0.00807067944337788[/C][/ROW]
[ROW][C]0.03[/C][C]2.31460851530387[/C][C]0.011179889209998[/C][/ROW]
[ROW][C]0.04[/C][C]2.32126664493177[/C][C]0.0151915960329413[/C][/ROW]
[ROW][C]0.05[/C][C]2.32882178939402[/C][C]0.0185817567110718[/C][/ROW]
[ROW][C]0.06[/C][C]2.33704172657331[/C][C]0.0207603775224783[/C][/ROW]
[ROW][C]0.07[/C][C]2.34548466600895[/C][C]0.0216336096865405[/C][/ROW]
[ROW][C]0.08[/C][C]2.3537245578334[/C][C]0.0214221444040692[/C][/ROW]
[ROW][C]0.09[/C][C]2.36146898665694[/C][C]0.0205486217735979[/C][/ROW]
[ROW][C]0.1[/C][C]2.36858657835409[/C][C]0.0194683874446952[/C][/ROW]
[ROW][C]0.11[/C][C]2.37508329084452[/C][C]0.0185416687310236[/C][/ROW]
[ROW][C]0.12[/C][C]2.38105671112754[/C][C]0.0179701988878348[/C][/ROW]
[ROW][C]0.13[/C][C]2.38664925401693[/C][C]0.0178329869530189[/C][/ROW]
[ROW][C]0.14[/C][C]2.39201202339105[/C][C]0.0181326933301604[/C][/ROW]
[ROW][C]0.15[/C][C]2.39728178855466[/C][C]0.0188196504648888[/C][/ROW]
[ROW][C]0.16[/C][C]2.40256819703359[/C][C]0.019792928082806[/C][/ROW]
[ROW][C]0.17[/C][C]2.40794784659167[/C][C]0.0209240200716392[/C][/ROW]
[ROW][C]0.18[/C][C]2.41346356706093[/C][C]0.0220855125476702[/C][/ROW]
[ROW][C]0.19[/C][C]2.41912840804582[/C][C]0.02317071750331[/C][/ROW]
[ROW][C]0.2[/C][C]2.42493346982491[/C][C]0.0241266563162893[/C][/ROW]
[ROW][C]0.21[/C][C]2.43085762497266[/C][C]0.0249468188077335[/C][/ROW]
[ROW][C]0.22[/C][C]2.43687654849281[/C][C]0.0256608431207079[/C][/ROW]
[ROW][C]0.23[/C][C]2.44296890070652[/C][C]0.0263014827266591[/C][/ROW]
[ROW][C]0.24[/C][C]2.44911876583815[/C][C]0.0269009553883039[/C][/ROW]
[ROW][C]0.25[/C][C]2.45531486069268[/C][C]0.0274635056368646[/C][/ROW]
[ROW][C]0.26[/C][C]2.46154796266615[/C][C]0.0279850635334[/C][/ROW]
[ROW][C]0.27[/C][C]2.46780819783024[/C][C]0.0284387721454715[/C][/ROW]
[ROW][C]0.28[/C][C]2.47408339782025[/C][C]0.0288029073615387[/C][/ROW]
[ROW][C]0.29[/C][C]2.48035901236526[/C][C]0.0290684619212648[/C][/ROW]
[ROW][C]0.3[/C][C]2.4866193875794[/C][C]0.0292337449725773[/C][/ROW]
[ROW][C]0.31[/C][C]2.4928497907849[/C][C]0.0293072337860337[/C][/ROW]
[ROW][C]0.32[/C][C]2.49903842742272[/C][C]0.0293170226707807[/C][/ROW]
[ROW][C]0.33[/C][C]2.50517779897685[/C][C]0.029288367504955[/C][/ROW]
[ROW][C]0.34[/C][C]2.51126500377196[/C][C]0.029249006043445[/C][/ROW]
[ROW][C]0.35[/C][C]2.51730090444667[/C][C]0.0292196122012731[/C][/ROW]
[ROW][C]0.36[/C][C]2.52328841152523[/C][C]0.0292020954192391[/C][/ROW]
[ROW][C]0.37[/C][C]2.52923040090115[/C][C]0.0291922535932518[/C][/ROW]
[ROW][C]0.38[/C][C]2.53512793233379[/C][C]0.0291675091962657[/C][/ROW]
[ROW][C]0.39[/C][C]2.54097941480491[/C][C]0.0291045392533412[/C][/ROW]
[ROW][C]0.4[/C][C]2.54678115470684[/C][C]0.0289865586949278[/C][/ROW]
[ROW][C]0.41[/C][C]2.55252935863541[/C][C]0.0288134207702891[/C][/ROW]
[ROW][C]0.42[/C][C]2.55822323149918[/C][C]0.0286015876023612[/C][/ROW]
[ROW][C]0.43[/C][C]2.56386843139503[/C][C]0.0284129767038988[/C][/ROW]
[ROW][C]0.44[/C][C]2.56947992793974[/C][C]0.0283043845415283[/C][/ROW]
[ROW][C]0.45[/C][C]2.5750833300312[/C][C]0.0283526301787911[/C][/ROW]
[ROW][C]0.46[/C][C]2.58071400661387[/C][C]0.0286195482396933[/C][/ROW]
[ROW][C]0.47[/C][C]2.58641375989322[/C][C]0.0291392513557523[/C][/ROW]
[ROW][C]0.48[/C][C]2.59222532203234[/C][C]0.0299061609869139[/C][/ROW]
[ROW][C]0.49[/C][C]2.59818542076296[/C][C]0.0308667145377884[/C][/ROW]
[ROW][C]0.5[/C][C]2.60431750254881[/C][C]0.0319195341203194[/C][/ROW]
[ROW][C]0.51[/C][C]2.61062535565764[/C][C]0.0329386819698121[/C][/ROW]
[ROW][C]0.52[/C][C]2.61708881950364[/C][C]0.0337829360415756[/C][/ROW]
[ROW][C]0.53[/C][C]2.62366251178541[/C][C]0.0343052990115951[/C][/ROW]
[ROW][C]0.54[/C][C]2.63027808505721[/C][C]0.0343867073713443[/C][/ROW]
[ROW][C]0.55[/C][C]2.63684999231681[/C][C]0.033953620593194[/C][/ROW]
[ROW][C]0.56[/C][C]2.64328416923884[/C][C]0.0329760700079478[/C][/ROW]
[ROW][C]0.57[/C][C]2.649488519279[/C][C]0.0314939899572528[/C][/ROW]
[ROW][C]0.58[/C][C]2.65538371633831[/C][C]0.0295972508100544[/C][/ROW]
[ROW][C]0.59[/C][C]2.66091270615527[/C][C]0.0274237705041445[/C][/ROW]
[ROW][C]0.6[/C][C]2.66604744274581[/C][C]0.0251472264109292[/C][/ROW]
[ROW][C]0.61[/C][C]2.6707918307983[/C][C]0.0229473189871333[/C][/ROW]
[ROW][C]0.62[/C][C]2.67518048240533[/C][C]0.020994435046618[/C][/ROW]
[ROW][C]0.63[/C][C]2.6792736067598[/C][C]0.0194264891555999[/C][/ROW]
[ROW][C]0.64[/C][C]2.6831489832918[/C][C]0.018326058581078[/C][/ROW]
[ROW][C]0.65[/C][C]2.68689239096465[/C][C]0.0177168769852947[/C][/ROW]
[ROW][C]0.66[/C][C]2.69058800347958[/C][C]0.017552348608125[/C][/ROW]
[ROW][C]0.67[/C][C]2.69431011052322[/C][C]0.0177460195806785[/C][/ROW]
[ROW][C]0.68[/C][C]2.69811715771883[/C][C]0.0181800016778332[/C][/ROW]
[ROW][C]0.69[/C][C]2.70204862712433[/C][C]0.0187340783963229[/C][/ROW]
[ROW][C]0.7[/C][C]2.70612482871924[/C][C]0.0193134715319516[/C][/ROW]
[ROW][C]0.71[/C][C]2.7103493325228[/C][C]0.0198342460751655[/C][/ROW]
[ROW][C]0.72[/C][C]2.71471356983834[/C][C]0.0202467971921256[/C][/ROW]
[ROW][C]0.73[/C][C]2.71920302765265[/C][C]0.0205339748059773[/C][/ROW]
[ROW][C]0.74[/C][C]2.72380435714786[/C][C]0.0207068452280517[/C][/ROW]
[ROW][C]0.75[/C][C]2.72851251910183[/C][C]0.0208211600197488[/C][/ROW]
[ROW][C]0.76[/C][C]2.73333676855387[/C][C]0.020947052426407[/C][/ROW]
[ROW][C]0.77[/C][C]2.73830394161774[/C][C]0.0211828599029009[/C][/ROW]
[ROW][C]0.78[/C][C]2.74345739181571[/C][C]0.0216131272397531[/C][/ROW]
[ROW][C]0.79[/C][C]2.74885033880991[/C][C]0.0222841757635183[/C][/ROW]
[ROW][C]0.8[/C][C]2.7545335477822[/C][C]0.0231728207240001[/C][/ROW]
[ROW][C]0.81[/C][C]2.76053907099308[/C][C]0.0241650795813465[/C][/ROW]
[ROW][C]0.82[/C][C]2.76686376447312[/C][C]0.0250684086916557[/C][/ROW]
[ROW][C]0.83[/C][C]2.77345761587432[/C][C]0.0256537767704164[/C][/ROW]
[ROW][C]0.84[/C][C]2.78022172492233[/C][C]0.0257123018412833[/C][/ROW]
[ROW][C]0.85[/C][C]2.78701862404663[/C][C]0.0251159342248232[/C][/ROW]
[ROW][C]0.86[/C][C]2.79369386883222[/C][C]0.0238489893005884[/C][/ROW]
[ROW][C]0.87[/C][C]2.80010367033927[/C][C]0.0220259773798829[/C][/ROW]
[ROW][C]0.88[/C][C]2.80614044028565[/C][C]0.0198562387017253[/C][/ROW]
[ROW][C]0.89[/C][C]2.81174790532328[/C][C]0.0175912075852961[/C][/ROW]
[ROW][C]0.9[/C][C]2.8169206275817[/C][C]0.0154484493147452[/C][/ROW]
[ROW][C]0.91[/C][C]2.82168944937543[/C][C]0.0135486855122261[/C][/ROW]
[ROW][C]0.92[/C][C]2.82610437931699[/C][C]0.0118911129307849[/C][/ROW]
[ROW][C]0.93[/C][C]2.83023781697669[/C][C]0.0104150611464983[/C][/ROW]
[ROW][C]0.94[/C][C]2.83423451142952[/C][C]0.00914324470904688[/C][/ROW]
[ROW][C]0.95[/C][C]2.83840791469103[/C][C]0.00843949954791881[/C][/ROW]
[ROW][C]0.96[/C][C]2.84330259560227[/C][C]0.00905163518034703[/C][/ROW]
[ROW][C]0.97[/C][C]2.849534350713[/C][C]0.0110047381147769[/C][/ROW]
[ROW][C]0.98[/C][C]2.85720764623128[/C][C]0.0124831813589286[/C][/ROW]
[ROW][C]0.99[/C][C]2.8650100796721[/C][C]0.0115818976968023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167288&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167288&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
0.012.303481850451990.00806057072424888
0.022.308707938766950.00807067944337788
0.032.314608515303870.011179889209998
0.042.321266644931770.0151915960329413
0.052.328821789394020.0185817567110718
0.062.337041726573310.0207603775224783
0.072.345484666008950.0216336096865405
0.082.35372455783340.0214221444040692
0.092.361468986656940.0205486217735979
0.12.368586578354090.0194683874446952
0.112.375083290844520.0185416687310236
0.122.381056711127540.0179701988878348
0.132.386649254016930.0178329869530189
0.142.392012023391050.0181326933301604
0.152.397281788554660.0188196504648888
0.162.402568197033590.019792928082806
0.172.407947846591670.0209240200716392
0.182.413463567060930.0220855125476702
0.192.419128408045820.02317071750331
0.22.424933469824910.0241266563162893
0.212.430857624972660.0249468188077335
0.222.436876548492810.0256608431207079
0.232.442968900706520.0263014827266591
0.242.449118765838150.0269009553883039
0.252.455314860692680.0274635056368646
0.262.461547962666150.0279850635334
0.272.467808197830240.0284387721454715
0.282.474083397820250.0288029073615387
0.292.480359012365260.0290684619212648
0.32.48661938757940.0292337449725773
0.312.49284979078490.0293072337860337
0.322.499038427422720.0293170226707807
0.332.505177798976850.029288367504955
0.342.511265003771960.029249006043445
0.352.517300904446670.0292196122012731
0.362.523288411525230.0292020954192391
0.372.529230400901150.0291922535932518
0.382.535127932333790.0291675091962657
0.392.540979414804910.0291045392533412
0.42.546781154706840.0289865586949278
0.412.552529358635410.0288134207702891
0.422.558223231499180.0286015876023612
0.432.563868431395030.0284129767038988
0.442.569479927939740.0283043845415283
0.452.57508333003120.0283526301787911
0.462.580714006613870.0286195482396933
0.472.586413759893220.0291392513557523
0.482.592225322032340.0299061609869139
0.492.598185420762960.0308667145377884
0.52.604317502548810.0319195341203194
0.512.610625355657640.0329386819698121
0.522.617088819503640.0337829360415756
0.532.623662511785410.0343052990115951
0.542.630278085057210.0343867073713443
0.552.636849992316810.033953620593194
0.562.643284169238840.0329760700079478
0.572.6494885192790.0314939899572528
0.582.655383716338310.0295972508100544
0.592.660912706155270.0274237705041445
0.62.666047442745810.0251472264109292
0.612.67079183079830.0229473189871333
0.622.675180482405330.020994435046618
0.632.67927360675980.0194264891555999
0.642.68314898329180.018326058581078
0.652.686892390964650.0177168769852947
0.662.690588003479580.017552348608125
0.672.694310110523220.0177460195806785
0.682.698117157718830.0181800016778332
0.692.702048627124330.0187340783963229
0.72.706124828719240.0193134715319516
0.712.71034933252280.0198342460751655
0.722.714713569838340.0202467971921256
0.732.719203027652650.0205339748059773
0.742.723804357147860.0207068452280517
0.752.728512519101830.0208211600197488
0.762.733336768553870.020947052426407
0.772.738303941617740.0211828599029009
0.782.743457391815710.0216131272397531
0.792.748850338809910.0222841757635183
0.82.75453354778220.0231728207240001
0.812.760539070993080.0241650795813465
0.822.766863764473120.0250684086916557
0.832.773457615874320.0256537767704164
0.842.780221724922330.0257123018412833
0.852.787018624046630.0251159342248232
0.862.793693868832220.0238489893005884
0.872.800103670339270.0220259773798829
0.882.806140440285650.0198562387017253
0.892.811747905323280.0175912075852961
0.92.81692062758170.0154484493147452
0.912.821689449375430.0135486855122261
0.922.826104379316990.0118911129307849
0.932.830237816976690.0104150611464983
0.942.834234511429520.00914324470904688
0.952.838407914691030.00843949954791881
0.962.843302595602270.00905163518034703
0.972.8495343507130.0110047381147769
0.982.857207646231280.0124831813589286
0.992.86501007967210.0115818976968023



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 <- '0.9'
par1 <- '0.1'
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')