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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 22 Jan 2016 08:15:53 +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/2016/Jan/22/t1453450562rrhctfahfmrc6p2.htm/, Retrieved Tue, 07 May 2024 10:53:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=290072, Retrieved Tue, 07 May 2024 10:53:49 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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-       [Harrell-Davis Quantiles] [] [2016-01-22 08:15:53] [9d441e5437781f0cd4d5053adc3d2c6c] [Current]
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Dataset

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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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290072&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290072&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290072&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.65485419706602e-132.11033358706147e-12
0.021.71940239823698e-129.76772203048786e-12
0.035.79092329644482e-123.23582265680671e-11
0.041.66708868931664e-119.16216540030396e-11
0.054.34996483278383e-112.35124559690095e-10
0.061.05774833336625e-105.6225930894907e-10
0.072.43502995544986e-101.27282654647621e-09
0.085.36063082812177e-102.75523121742166e-09
0.091.13636011711549e-095.7424895765836e-09
0.12.33121077997112e-091.15816539871949e-08
0.114.6457884206319e-092.26889204633463e-08
0.129.02060981466946e-094.33026070483139e-08
0.131.71057277231768e-088.07047737241866e-08
0.143.17409168948402e-081.4716686171592e-07
0.155.77259626766136e-082.62993621492559e-07
0.161.03035993292977e-074.61205223141647e-07
0.171.80708649821781e-077.94621123516468e-07
0.183.11729729141064e-071.34640809320279e-06
0.195.2938024497351e-072.24554447492461e-06
0.28.85690681906581e-073.6891462337439e-06
0.211.46088905328412e-065.97422329058732e-06
0.222.37704076422318e-069.54218307432184e-06
0.233.81747313538128e-061.50402910929767e-05
0.246.05406797538066e-062.34053041403888e-05
0.259.48510171938644e-063.59756277899646e-05
0.261.46870198276527e-055.46395434723776e-05
0.272.24843487195425e-058.20281030496091e-05
0.283.40428623158973e-050.000121762518968758
0.295.09921049158812e-050.000178766283944362
0.37.55843829761682e-050.000259652956788976
0.310.0001108983084172620.000373199344713504
0.320.0001610958126545550.000530913482230958
0.330.00023174213271060.000747702603374731
0.340.0003301984488999210.00104264294165861
0.350.0004660964513496510.00143984680055083
0.360.0006519029325973150.00196941294209678
0.370.0009035803368733220.00266843824967974
0.380.001241345837874940.00358205163463081
0.390.001690526783338250.00476441926055438
0.40.002282504101572160.00627965840872763
0.410.003055727453810890.00820256468701185
0.420.004056776585888770.0106190653073231
0.430.005341432671553740.0136262753601728
0.440.006975711803460460.0173320291895949
0.450.009036800721250020.0218537773423917
0.460.01161382311302720.027316698580557
0.470.01480835432439030.0338509145240648
0.480.01873459416313290.0415877857629358
0.490.02351910292188050.0506551099181482
0.50.02930000602435530.0611714281463993
0.510.03622557904965330.0732392791714379
0.520.04445213834673050.0869377543018906
0.530.05414118375638830.102314533421095
0.540.06545576940493690.119377558215433
0.550.07855611584320320.138087118392679
0.560.09359452101710610.158348416001406
0.570.1107096769642650.180005560332915
0.580.1300205512674330.202837121767467
0.590.1516200439879370.226554178443128
0.60.1755686783074350.25080124641346
0.610.2018886223221920.275160469077769
0.620.2305583661871890.299159341210592
0.630.2615083891989330.322281513673449
0.640.2946181421943690.343983119542678
0.650.3297146396309370.363708832351839
0.660.3665729020968240.38091374340065
0.670.4049184146502850.395085090238699
0.680.4444316720048370.405764848335483
0.690.4847547727113070.412571697684487
0.70.525499907372020.415221382094763
0.710.5662594681383380.413543407381834
0.720.6066173967108870.407492709265797
0.730.6461612943962570.397156916042582
0.740.6844947485468420.382757301065436
0.750.721249291692480.364641341483377
0.760.7560954076246010.34327146705374
0.770.7887520347872060.319206427223276
0.780.8189940907674520.293076883790288
0.790.8466576485743180.265558622363076
0.80.8716425289370460.237344096975797
0.810.8939122237759940.209110641019152
0.820.9134912232952250.181493916819201
0.830.9304599710185980.15506219863747
0.840.9449478059922560.130295894319182
0.850.9571243590773950.107573019950728
0.860.9671899428110410.0871607465865534
0.870.9753655068120140.0692142096473081
0.880.981882721749990.0537806760263144
0.890.9869747066888490.0408108548071106
0.90.9908678327327720.0301727082448755
0.910.99377492867720.02167002515524
0.920.9958900920128410.0150613514836528
0.930.9973851821931040.0100799924164084
0.940.9984079533085080.00645127610742699
0.950.9990816796349390.00390898398374168
0.960.9995060471562830.00220713770378299
0.970.9997590315436540.0011296430323386
0.980.9998994596092570.000494218826648139
0.990.9999699554181790.000154778240096984

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.65485419706602e-13 & 2.11033358706147e-12 \tabularnewline
0.02 & 1.71940239823698e-12 & 9.76772203048786e-12 \tabularnewline
0.03 & 5.79092329644482e-12 & 3.23582265680671e-11 \tabularnewline
0.04 & 1.66708868931664e-11 & 9.16216540030396e-11 \tabularnewline
0.05 & 4.34996483278383e-11 & 2.35124559690095e-10 \tabularnewline
0.06 & 1.05774833336625e-10 & 5.6225930894907e-10 \tabularnewline
0.07 & 2.43502995544986e-10 & 1.27282654647621e-09 \tabularnewline
0.08 & 5.36063082812177e-10 & 2.75523121742166e-09 \tabularnewline
0.09 & 1.13636011711549e-09 & 5.7424895765836e-09 \tabularnewline
0.1 & 2.33121077997112e-09 & 1.15816539871949e-08 \tabularnewline
0.11 & 4.6457884206319e-09 & 2.26889204633463e-08 \tabularnewline
0.12 & 9.02060981466946e-09 & 4.33026070483139e-08 \tabularnewline
0.13 & 1.71057277231768e-08 & 8.07047737241866e-08 \tabularnewline
0.14 & 3.17409168948402e-08 & 1.4716686171592e-07 \tabularnewline
0.15 & 5.77259626766136e-08 & 2.62993621492559e-07 \tabularnewline
0.16 & 1.03035993292977e-07 & 4.61205223141647e-07 \tabularnewline
0.17 & 1.80708649821781e-07 & 7.94621123516468e-07 \tabularnewline
0.18 & 3.11729729141064e-07 & 1.34640809320279e-06 \tabularnewline
0.19 & 5.2938024497351e-07 & 2.24554447492461e-06 \tabularnewline
0.2 & 8.85690681906581e-07 & 3.6891462337439e-06 \tabularnewline
0.21 & 1.46088905328412e-06 & 5.97422329058732e-06 \tabularnewline
0.22 & 2.37704076422318e-06 & 9.54218307432184e-06 \tabularnewline
0.23 & 3.81747313538128e-06 & 1.50402910929767e-05 \tabularnewline
0.24 & 6.05406797538066e-06 & 2.34053041403888e-05 \tabularnewline
0.25 & 9.48510171938644e-06 & 3.59756277899646e-05 \tabularnewline
0.26 & 1.46870198276527e-05 & 5.46395434723776e-05 \tabularnewline
0.27 & 2.24843487195425e-05 & 8.20281030496091e-05 \tabularnewline
0.28 & 3.40428623158973e-05 & 0.000121762518968758 \tabularnewline
0.29 & 5.09921049158812e-05 & 0.000178766283944362 \tabularnewline
0.3 & 7.55843829761682e-05 & 0.000259652956788976 \tabularnewline
0.31 & 0.000110898308417262 & 0.000373199344713504 \tabularnewline
0.32 & 0.000161095812654555 & 0.000530913482230958 \tabularnewline
0.33 & 0.0002317421327106 & 0.000747702603374731 \tabularnewline
0.34 & 0.000330198448899921 & 0.00104264294165861 \tabularnewline
0.35 & 0.000466096451349651 & 0.00143984680055083 \tabularnewline
0.36 & 0.000651902932597315 & 0.00196941294209678 \tabularnewline
0.37 & 0.000903580336873322 & 0.00266843824967974 \tabularnewline
0.38 & 0.00124134583787494 & 0.00358205163463081 \tabularnewline
0.39 & 0.00169052678333825 & 0.00476441926055438 \tabularnewline
0.4 & 0.00228250410157216 & 0.00627965840872763 \tabularnewline
0.41 & 0.00305572745381089 & 0.00820256468701185 \tabularnewline
0.42 & 0.00405677658588877 & 0.0106190653073231 \tabularnewline
0.43 & 0.00534143267155374 & 0.0136262753601728 \tabularnewline
0.44 & 0.00697571180346046 & 0.0173320291895949 \tabularnewline
0.45 & 0.00903680072125002 & 0.0218537773423917 \tabularnewline
0.46 & 0.0116138231130272 & 0.027316698580557 \tabularnewline
0.47 & 0.0148083543243903 & 0.0338509145240648 \tabularnewline
0.48 & 0.0187345941631329 & 0.0415877857629358 \tabularnewline
0.49 & 0.0235191029218805 & 0.0506551099181482 \tabularnewline
0.5 & 0.0293000060243553 & 0.0611714281463993 \tabularnewline
0.51 & 0.0362255790496533 & 0.0732392791714379 \tabularnewline
0.52 & 0.0444521383467305 & 0.0869377543018906 \tabularnewline
0.53 & 0.0541411837563883 & 0.102314533421095 \tabularnewline
0.54 & 0.0654557694049369 & 0.119377558215433 \tabularnewline
0.55 & 0.0785561158432032 & 0.138087118392679 \tabularnewline
0.56 & 0.0935945210171061 & 0.158348416001406 \tabularnewline
0.57 & 0.110709676964265 & 0.180005560332915 \tabularnewline
0.58 & 0.130020551267433 & 0.202837121767467 \tabularnewline
0.59 & 0.151620043987937 & 0.226554178443128 \tabularnewline
0.6 & 0.175568678307435 & 0.25080124641346 \tabularnewline
0.61 & 0.201888622322192 & 0.275160469077769 \tabularnewline
0.62 & 0.230558366187189 & 0.299159341210592 \tabularnewline
0.63 & 0.261508389198933 & 0.322281513673449 \tabularnewline
0.64 & 0.294618142194369 & 0.343983119542678 \tabularnewline
0.65 & 0.329714639630937 & 0.363708832351839 \tabularnewline
0.66 & 0.366572902096824 & 0.38091374340065 \tabularnewline
0.67 & 0.404918414650285 & 0.395085090238699 \tabularnewline
0.68 & 0.444431672004837 & 0.405764848335483 \tabularnewline
0.69 & 0.484754772711307 & 0.412571697684487 \tabularnewline
0.7 & 0.52549990737202 & 0.415221382094763 \tabularnewline
0.71 & 0.566259468138338 & 0.413543407381834 \tabularnewline
0.72 & 0.606617396710887 & 0.407492709265797 \tabularnewline
0.73 & 0.646161294396257 & 0.397156916042582 \tabularnewline
0.74 & 0.684494748546842 & 0.382757301065436 \tabularnewline
0.75 & 0.72124929169248 & 0.364641341483377 \tabularnewline
0.76 & 0.756095407624601 & 0.34327146705374 \tabularnewline
0.77 & 0.788752034787206 & 0.319206427223276 \tabularnewline
0.78 & 0.818994090767452 & 0.293076883790288 \tabularnewline
0.79 & 0.846657648574318 & 0.265558622363076 \tabularnewline
0.8 & 0.871642528937046 & 0.237344096975797 \tabularnewline
0.81 & 0.893912223775994 & 0.209110641019152 \tabularnewline
0.82 & 0.913491223295225 & 0.181493916819201 \tabularnewline
0.83 & 0.930459971018598 & 0.15506219863747 \tabularnewline
0.84 & 0.944947805992256 & 0.130295894319182 \tabularnewline
0.85 & 0.957124359077395 & 0.107573019950728 \tabularnewline
0.86 & 0.967189942811041 & 0.0871607465865534 \tabularnewline
0.87 & 0.975365506812014 & 0.0692142096473081 \tabularnewline
0.88 & 0.98188272174999 & 0.0537806760263144 \tabularnewline
0.89 & 0.986974706688849 & 0.0408108548071106 \tabularnewline
0.9 & 0.990867832732772 & 0.0301727082448755 \tabularnewline
0.91 & 0.9937749286772 & 0.02167002515524 \tabularnewline
0.92 & 0.995890092012841 & 0.0150613514836528 \tabularnewline
0.93 & 0.997385182193104 & 0.0100799924164084 \tabularnewline
0.94 & 0.998407953308508 & 0.00645127610742699 \tabularnewline
0.95 & 0.999081679634939 & 0.00390898398374168 \tabularnewline
0.96 & 0.999506047156283 & 0.00220713770378299 \tabularnewline
0.97 & 0.999759031543654 & 0.0011296430323386 \tabularnewline
0.98 & 0.999899459609257 & 0.000494218826648139 \tabularnewline
0.99 & 0.999969955418179 & 0.000154778240096984 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290072&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]3.65485419706602e-13[/C][C]2.11033358706147e-12[/C][/ROW]
[ROW][C]0.02[/C][C]1.71940239823698e-12[/C][C]9.76772203048786e-12[/C][/ROW]
[ROW][C]0.03[/C][C]5.79092329644482e-12[/C][C]3.23582265680671e-11[/C][/ROW]
[ROW][C]0.04[/C][C]1.66708868931664e-11[/C][C]9.16216540030396e-11[/C][/ROW]
[ROW][C]0.05[/C][C]4.34996483278383e-11[/C][C]2.35124559690095e-10[/C][/ROW]
[ROW][C]0.06[/C][C]1.05774833336625e-10[/C][C]5.6225930894907e-10[/C][/ROW]
[ROW][C]0.07[/C][C]2.43502995544986e-10[/C][C]1.27282654647621e-09[/C][/ROW]
[ROW][C]0.08[/C][C]5.36063082812177e-10[/C][C]2.75523121742166e-09[/C][/ROW]
[ROW][C]0.09[/C][C]1.13636011711549e-09[/C][C]5.7424895765836e-09[/C][/ROW]
[ROW][C]0.1[/C][C]2.33121077997112e-09[/C][C]1.15816539871949e-08[/C][/ROW]
[ROW][C]0.11[/C][C]4.6457884206319e-09[/C][C]2.26889204633463e-08[/C][/ROW]
[ROW][C]0.12[/C][C]9.02060981466946e-09[/C][C]4.33026070483139e-08[/C][/ROW]
[ROW][C]0.13[/C][C]1.71057277231768e-08[/C][C]8.07047737241866e-08[/C][/ROW]
[ROW][C]0.14[/C][C]3.17409168948402e-08[/C][C]1.4716686171592e-07[/C][/ROW]
[ROW][C]0.15[/C][C]5.77259626766136e-08[/C][C]2.62993621492559e-07[/C][/ROW]
[ROW][C]0.16[/C][C]1.03035993292977e-07[/C][C]4.61205223141647e-07[/C][/ROW]
[ROW][C]0.17[/C][C]1.80708649821781e-07[/C][C]7.94621123516468e-07[/C][/ROW]
[ROW][C]0.18[/C][C]3.11729729141064e-07[/C][C]1.34640809320279e-06[/C][/ROW]
[ROW][C]0.19[/C][C]5.2938024497351e-07[/C][C]2.24554447492461e-06[/C][/ROW]
[ROW][C]0.2[/C][C]8.85690681906581e-07[/C][C]3.6891462337439e-06[/C][/ROW]
[ROW][C]0.21[/C][C]1.46088905328412e-06[/C][C]5.97422329058732e-06[/C][/ROW]
[ROW][C]0.22[/C][C]2.37704076422318e-06[/C][C]9.54218307432184e-06[/C][/ROW]
[ROW][C]0.23[/C][C]3.81747313538128e-06[/C][C]1.50402910929767e-05[/C][/ROW]
[ROW][C]0.24[/C][C]6.05406797538066e-06[/C][C]2.34053041403888e-05[/C][/ROW]
[ROW][C]0.25[/C][C]9.48510171938644e-06[/C][C]3.59756277899646e-05[/C][/ROW]
[ROW][C]0.26[/C][C]1.46870198276527e-05[/C][C]5.46395434723776e-05[/C][/ROW]
[ROW][C]0.27[/C][C]2.24843487195425e-05[/C][C]8.20281030496091e-05[/C][/ROW]
[ROW][C]0.28[/C][C]3.40428623158973e-05[/C][C]0.000121762518968758[/C][/ROW]
[ROW][C]0.29[/C][C]5.09921049158812e-05[/C][C]0.000178766283944362[/C][/ROW]
[ROW][C]0.3[/C][C]7.55843829761682e-05[/C][C]0.000259652956788976[/C][/ROW]
[ROW][C]0.31[/C][C]0.000110898308417262[/C][C]0.000373199344713504[/C][/ROW]
[ROW][C]0.32[/C][C]0.000161095812654555[/C][C]0.000530913482230958[/C][/ROW]
[ROW][C]0.33[/C][C]0.0002317421327106[/C][C]0.000747702603374731[/C][/ROW]
[ROW][C]0.34[/C][C]0.000330198448899921[/C][C]0.00104264294165861[/C][/ROW]
[ROW][C]0.35[/C][C]0.000466096451349651[/C][C]0.00143984680055083[/C][/ROW]
[ROW][C]0.36[/C][C]0.000651902932597315[/C][C]0.00196941294209678[/C][/ROW]
[ROW][C]0.37[/C][C]0.000903580336873322[/C][C]0.00266843824967974[/C][/ROW]
[ROW][C]0.38[/C][C]0.00124134583787494[/C][C]0.00358205163463081[/C][/ROW]
[ROW][C]0.39[/C][C]0.00169052678333825[/C][C]0.00476441926055438[/C][/ROW]
[ROW][C]0.4[/C][C]0.00228250410157216[/C][C]0.00627965840872763[/C][/ROW]
[ROW][C]0.41[/C][C]0.00305572745381089[/C][C]0.00820256468701185[/C][/ROW]
[ROW][C]0.42[/C][C]0.00405677658588877[/C][C]0.0106190653073231[/C][/ROW]
[ROW][C]0.43[/C][C]0.00534143267155374[/C][C]0.0136262753601728[/C][/ROW]
[ROW][C]0.44[/C][C]0.00697571180346046[/C][C]0.0173320291895949[/C][/ROW]
[ROW][C]0.45[/C][C]0.00903680072125002[/C][C]0.0218537773423917[/C][/ROW]
[ROW][C]0.46[/C][C]0.0116138231130272[/C][C]0.027316698580557[/C][/ROW]
[ROW][C]0.47[/C][C]0.0148083543243903[/C][C]0.0338509145240648[/C][/ROW]
[ROW][C]0.48[/C][C]0.0187345941631329[/C][C]0.0415877857629358[/C][/ROW]
[ROW][C]0.49[/C][C]0.0235191029218805[/C][C]0.0506551099181482[/C][/ROW]
[ROW][C]0.5[/C][C]0.0293000060243553[/C][C]0.0611714281463993[/C][/ROW]
[ROW][C]0.51[/C][C]0.0362255790496533[/C][C]0.0732392791714379[/C][/ROW]
[ROW][C]0.52[/C][C]0.0444521383467305[/C][C]0.0869377543018906[/C][/ROW]
[ROW][C]0.53[/C][C]0.0541411837563883[/C][C]0.102314533421095[/C][/ROW]
[ROW][C]0.54[/C][C]0.0654557694049369[/C][C]0.119377558215433[/C][/ROW]
[ROW][C]0.55[/C][C]0.0785561158432032[/C][C]0.138087118392679[/C][/ROW]
[ROW][C]0.56[/C][C]0.0935945210171061[/C][C]0.158348416001406[/C][/ROW]
[ROW][C]0.57[/C][C]0.110709676964265[/C][C]0.180005560332915[/C][/ROW]
[ROW][C]0.58[/C][C]0.130020551267433[/C][C]0.202837121767467[/C][/ROW]
[ROW][C]0.59[/C][C]0.151620043987937[/C][C]0.226554178443128[/C][/ROW]
[ROW][C]0.6[/C][C]0.175568678307435[/C][C]0.25080124641346[/C][/ROW]
[ROW][C]0.61[/C][C]0.201888622322192[/C][C]0.275160469077769[/C][/ROW]
[ROW][C]0.62[/C][C]0.230558366187189[/C][C]0.299159341210592[/C][/ROW]
[ROW][C]0.63[/C][C]0.261508389198933[/C][C]0.322281513673449[/C][/ROW]
[ROW][C]0.64[/C][C]0.294618142194369[/C][C]0.343983119542678[/C][/ROW]
[ROW][C]0.65[/C][C]0.329714639630937[/C][C]0.363708832351839[/C][/ROW]
[ROW][C]0.66[/C][C]0.366572902096824[/C][C]0.38091374340065[/C][/ROW]
[ROW][C]0.67[/C][C]0.404918414650285[/C][C]0.395085090238699[/C][/ROW]
[ROW][C]0.68[/C][C]0.444431672004837[/C][C]0.405764848335483[/C][/ROW]
[ROW][C]0.69[/C][C]0.484754772711307[/C][C]0.412571697684487[/C][/ROW]
[ROW][C]0.7[/C][C]0.52549990737202[/C][C]0.415221382094763[/C][/ROW]
[ROW][C]0.71[/C][C]0.566259468138338[/C][C]0.413543407381834[/C][/ROW]
[ROW][C]0.72[/C][C]0.606617396710887[/C][C]0.407492709265797[/C][/ROW]
[ROW][C]0.73[/C][C]0.646161294396257[/C][C]0.397156916042582[/C][/ROW]
[ROW][C]0.74[/C][C]0.684494748546842[/C][C]0.382757301065436[/C][/ROW]
[ROW][C]0.75[/C][C]0.72124929169248[/C][C]0.364641341483377[/C][/ROW]
[ROW][C]0.76[/C][C]0.756095407624601[/C][C]0.34327146705374[/C][/ROW]
[ROW][C]0.77[/C][C]0.788752034787206[/C][C]0.319206427223276[/C][/ROW]
[ROW][C]0.78[/C][C]0.818994090767452[/C][C]0.293076883790288[/C][/ROW]
[ROW][C]0.79[/C][C]0.846657648574318[/C][C]0.265558622363076[/C][/ROW]
[ROW][C]0.8[/C][C]0.871642528937046[/C][C]0.237344096975797[/C][/ROW]
[ROW][C]0.81[/C][C]0.893912223775994[/C][C]0.209110641019152[/C][/ROW]
[ROW][C]0.82[/C][C]0.913491223295225[/C][C]0.181493916819201[/C][/ROW]
[ROW][C]0.83[/C][C]0.930459971018598[/C][C]0.15506219863747[/C][/ROW]
[ROW][C]0.84[/C][C]0.944947805992256[/C][C]0.130295894319182[/C][/ROW]
[ROW][C]0.85[/C][C]0.957124359077395[/C][C]0.107573019950728[/C][/ROW]
[ROW][C]0.86[/C][C]0.967189942811041[/C][C]0.0871607465865534[/C][/ROW]
[ROW][C]0.87[/C][C]0.975365506812014[/C][C]0.0692142096473081[/C][/ROW]
[ROW][C]0.88[/C][C]0.98188272174999[/C][C]0.0537806760263144[/C][/ROW]
[ROW][C]0.89[/C][C]0.986974706688849[/C][C]0.0408108548071106[/C][/ROW]
[ROW][C]0.9[/C][C]0.990867832732772[/C][C]0.0301727082448755[/C][/ROW]
[ROW][C]0.91[/C][C]0.9937749286772[/C][C]0.02167002515524[/C][/ROW]
[ROW][C]0.92[/C][C]0.995890092012841[/C][C]0.0150613514836528[/C][/ROW]
[ROW][C]0.93[/C][C]0.997385182193104[/C][C]0.0100799924164084[/C][/ROW]
[ROW][C]0.94[/C][C]0.998407953308508[/C][C]0.00645127610742699[/C][/ROW]
[ROW][C]0.95[/C][C]0.999081679634939[/C][C]0.00390898398374168[/C][/ROW]
[ROW][C]0.96[/C][C]0.999506047156283[/C][C]0.00220713770378299[/C][/ROW]
[ROW][C]0.97[/C][C]0.999759031543654[/C][C]0.0011296430323386[/C][/ROW]
[ROW][C]0.98[/C][C]0.999899459609257[/C][C]0.000494218826648139[/C][/ROW]
[ROW][C]0.99[/C][C]0.999969955418179[/C][C]0.000154778240096984[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290072&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290072&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
0.013.65485419706602e-132.11033358706147e-12
0.021.71940239823698e-129.76772203048786e-12
0.035.79092329644482e-123.23582265680671e-11
0.041.66708868931664e-119.16216540030396e-11
0.054.34996483278383e-112.35124559690095e-10
0.061.05774833336625e-105.6225930894907e-10
0.072.43502995544986e-101.27282654647621e-09
0.085.36063082812177e-102.75523121742166e-09
0.091.13636011711549e-095.7424895765836e-09
0.12.33121077997112e-091.15816539871949e-08
0.114.6457884206319e-092.26889204633463e-08
0.129.02060981466946e-094.33026070483139e-08
0.131.71057277231768e-088.07047737241866e-08
0.143.17409168948402e-081.4716686171592e-07
0.155.77259626766136e-082.62993621492559e-07
0.161.03035993292977e-074.61205223141647e-07
0.171.80708649821781e-077.94621123516468e-07
0.183.11729729141064e-071.34640809320279e-06
0.195.2938024497351e-072.24554447492461e-06
0.28.85690681906581e-073.6891462337439e-06
0.211.46088905328412e-065.97422329058732e-06
0.222.37704076422318e-069.54218307432184e-06
0.233.81747313538128e-061.50402910929767e-05
0.246.05406797538066e-062.34053041403888e-05
0.259.48510171938644e-063.59756277899646e-05
0.261.46870198276527e-055.46395434723776e-05
0.272.24843487195425e-058.20281030496091e-05
0.283.40428623158973e-050.000121762518968758
0.295.09921049158812e-050.000178766283944362
0.37.55843829761682e-050.000259652956788976
0.310.0001108983084172620.000373199344713504
0.320.0001610958126545550.000530913482230958
0.330.00023174213271060.000747702603374731
0.340.0003301984488999210.00104264294165861
0.350.0004660964513496510.00143984680055083
0.360.0006519029325973150.00196941294209678
0.370.0009035803368733220.00266843824967974
0.380.001241345837874940.00358205163463081
0.390.001690526783338250.00476441926055438
0.40.002282504101572160.00627965840872763
0.410.003055727453810890.00820256468701185
0.420.004056776585888770.0106190653073231
0.430.005341432671553740.0136262753601728
0.440.006975711803460460.0173320291895949
0.450.009036800721250020.0218537773423917
0.460.01161382311302720.027316698580557
0.470.01480835432439030.0338509145240648
0.480.01873459416313290.0415877857629358
0.490.02351910292188050.0506551099181482
0.50.02930000602435530.0611714281463993
0.510.03622557904965330.0732392791714379
0.520.04445213834673050.0869377543018906
0.530.05414118375638830.102314533421095
0.540.06545576940493690.119377558215433
0.550.07855611584320320.138087118392679
0.560.09359452101710610.158348416001406
0.570.1107096769642650.180005560332915
0.580.1300205512674330.202837121767467
0.590.1516200439879370.226554178443128
0.60.1755686783074350.25080124641346
0.610.2018886223221920.275160469077769
0.620.2305583661871890.299159341210592
0.630.2615083891989330.322281513673449
0.640.2946181421943690.343983119542678
0.650.3297146396309370.363708832351839
0.660.3665729020968240.38091374340065
0.670.4049184146502850.395085090238699
0.680.4444316720048370.405764848335483
0.690.4847547727113070.412571697684487
0.70.525499907372020.415221382094763
0.710.5662594681383380.413543407381834
0.720.6066173967108870.407492709265797
0.730.6461612943962570.397156916042582
0.740.6844947485468420.382757301065436
0.750.721249291692480.364641341483377
0.760.7560954076246010.34327146705374
0.770.7887520347872060.319206427223276
0.780.8189940907674520.293076883790288
0.790.8466576485743180.265558622363076
0.80.8716425289370460.237344096975797
0.810.8939122237759940.209110641019152
0.820.9134912232952250.181493916819201
0.830.9304599710185980.15506219863747
0.840.9449478059922560.130295894319182
0.850.9571243590773950.107573019950728
0.860.9671899428110410.0871607465865534
0.870.9753655068120140.0692142096473081
0.880.981882721749990.0537806760263144
0.890.9869747066888490.0408108548071106
0.90.9908678327327720.0301727082448755
0.910.99377492867720.02167002515524
0.920.9958900920128410.0150613514836528
0.930.9973851821931040.0100799924164084
0.940.9984079533085080.00645127610742699
0.950.9990816796349390.00390898398374168
0.960.9995060471562830.00220713770378299
0.970.9997590315436540.0011296430323386
0.980.9998994596092570.000494218826648139
0.990.9999699554181790.000154778240096984


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')