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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 computationWed, 03 Jun 2009 06:12:53 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/03/t1244031249sw4sdorunwtf1zz.htm/, Retrieved Sun, 12 May 2024 07:15:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41468, Retrieved Sun, 12 May 2024 07:15:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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] [] [2009-06-03 12:12:53] [afa535f11cc604bf03d1c5bec84d96a0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0
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9
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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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41468&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41468&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41468&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0100
0.0200
0.0305.67253621749956e-16
0.041.11022302462516e-159.64331156974925e-15
0.051.99840144432528e-141.77550383607736e-13
0.062.91544566266566e-132.47776381980381e-12
0.073.38729044813135e-122.74119640174449e-11
0.083.23603366325642e-112.48986901209195e-10
0.092.60414134700682e-101.90261289313185e-09
0.11.79840142777721e-091.24596940355350e-08
0.111.08162058198857e-087.09565075867341e-08
0.125.73341962795126e-083.55576842759077e-07
0.132.70516171241297e-071.58328585304525e-06
0.141.14558003383447e-066.3155657744489e-06
0.154.38527279200684e-062.27248238339414e-05
0.161.52678685161334e-057.42005894448725e-05
0.174.86083538362436e-050.000220990497074061
0.180.000142189102511070.000603057673004957
0.190.0003837945729801010.00151386950438919
0.20.0009595879188841750.0035082616256057
0.210.002230259792855070.00752891689889037
0.220.004834203618289790.0150048185131738
0.230.009801985320985970.0278409175278674
0.240.01864540346938260.0482038355517531
0.250.03336529881499110.0780406592859595
0.260.05631798453568320.118362691716386
0.270.08990337296063020.168463024313861
0.280.1360918477877140.225353253352747
0.290.1958782966190790.283731931266315
0.30.2688113313612730.336666959547388
0.310.3527605535426880.376925809036133
0.320.4440361522105450.398607065452535
0.330.5378729338982740.398563820492903
0.340.6291727655524030.377145688337927
0.350.7133141176262910.338017222503524
0.360.7868203940284160.287153840968235
0.370.8477345693941960.231385811018267
0.380.8956491414119150.176959897526759
0.390.9314441800017880.128521583692561
0.40.956854526944430.0886871895734502
0.410.9740033654537690.0581742160489659
0.420.9850105902588210.0362876983452929
0.430.9917326883319060.0215331024029383
0.440.9956399859678980.012159917321909
0.450.9978027972362750.0065384056919408
0.460.9989445911776890.0033531518965296
0.470.9995234840371080.00165355038811435
0.480.9998152796412390.00082179636124926
0.490.9999848227435540.000534779193469785
0.51.000143371194280.000725754616628171
0.511.000396657976730.00142762111189801
0.521.000891599007660.00289956327583829
0.531.001869846974360.00568667909069126
0.541.003733743551720.0106456732585822
0.551.007124250788310.0189859652142148
0.561.013000795765570.0322401937737238
0.571.022700548521190.0521108957900006
0.581.037942804690170.0801510916666946
0.591.060738912364320.117273775539590
0.61.093176848952650.163173506685861
0.611.137077069057040.215813782940168
0.621.193560650558330.27120317626571
0.631.262620172316970.32365328423618
0.641.342817916433540.366609417026418
0.651.431233879571420.393941195710274
0.661.523737248188020.401381182715485
0.671.615568714465540.38767546772253
0.681.702126500869470.355095991929299
0.691.779783811722480.309104962772337
0.71.846556650010880.257345762159653
0.711.902489192046800.208370499270408
0.721.949701735488450.170706389233664
0.731.992113788961720.152374902560141
0.742.034885654392070.158994483848086
0.752.083622424166690.190019930627988
0.762.143392543917840.239057942750092
0.772.217670557900260.296715007324829
0.782.307425389470950.351866201586163
0.792.410684609159900.393234425775915
0.82.522908680259790.412319124738313
0.812.638319126073410.406649665635413
0.822.751943269555010.381814828779267
0.832.861698463966760.351131704599134
0.842.969574970480810.332206023835871
0.853.081131668733230.338998924695342
0.863.203211114502660.371663063612532
0.873.34085161061880.415434520903024
0.883.495274085659570.451238586142931
0.893.664726495022920.468584741388248
0.93.848387075185810.474508392003832
0.914.051254266160430.492175273235499
0.924.287233183238150.544561676853438
0.934.579998129992230.639968298547166
0.944.963931261879390.783604119064965
0.955.48508681679160.98386836717936
0.966.20082813324311.21658758323510
0.977.210589011307761.43436847045421
0.988.806390615619761.83642259766095
0.9911.43184873368943.18456338169046

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0 & 0 \tabularnewline
0.02 & 0 & 0 \tabularnewline
0.03 & 0 & 5.67253621749956e-16 \tabularnewline
0.04 & 1.11022302462516e-15 & 9.64331156974925e-15 \tabularnewline
0.05 & 1.99840144432528e-14 & 1.77550383607736e-13 \tabularnewline
0.06 & 2.91544566266566e-13 & 2.47776381980381e-12 \tabularnewline
0.07 & 3.38729044813135e-12 & 2.74119640174449e-11 \tabularnewline
0.08 & 3.23603366325642e-11 & 2.48986901209195e-10 \tabularnewline
0.09 & 2.60414134700682e-10 & 1.90261289313185e-09 \tabularnewline
0.1 & 1.79840142777721e-09 & 1.24596940355350e-08 \tabularnewline
0.11 & 1.08162058198857e-08 & 7.09565075867341e-08 \tabularnewline
0.12 & 5.73341962795126e-08 & 3.55576842759077e-07 \tabularnewline
0.13 & 2.70516171241297e-07 & 1.58328585304525e-06 \tabularnewline
0.14 & 1.14558003383447e-06 & 6.3155657744489e-06 \tabularnewline
0.15 & 4.38527279200684e-06 & 2.27248238339414e-05 \tabularnewline
0.16 & 1.52678685161334e-05 & 7.42005894448725e-05 \tabularnewline
0.17 & 4.86083538362436e-05 & 0.000220990497074061 \tabularnewline
0.18 & 0.00014218910251107 & 0.000603057673004957 \tabularnewline
0.19 & 0.000383794572980101 & 0.00151386950438919 \tabularnewline
0.2 & 0.000959587918884175 & 0.0035082616256057 \tabularnewline
0.21 & 0.00223025979285507 & 0.00752891689889037 \tabularnewline
0.22 & 0.00483420361828979 & 0.0150048185131738 \tabularnewline
0.23 & 0.00980198532098597 & 0.0278409175278674 \tabularnewline
0.24 & 0.0186454034693826 & 0.0482038355517531 \tabularnewline
0.25 & 0.0333652988149911 & 0.0780406592859595 \tabularnewline
0.26 & 0.0563179845356832 & 0.118362691716386 \tabularnewline
0.27 & 0.0899033729606302 & 0.168463024313861 \tabularnewline
0.28 & 0.136091847787714 & 0.225353253352747 \tabularnewline
0.29 & 0.195878296619079 & 0.283731931266315 \tabularnewline
0.3 & 0.268811331361273 & 0.336666959547388 \tabularnewline
0.31 & 0.352760553542688 & 0.376925809036133 \tabularnewline
0.32 & 0.444036152210545 & 0.398607065452535 \tabularnewline
0.33 & 0.537872933898274 & 0.398563820492903 \tabularnewline
0.34 & 0.629172765552403 & 0.377145688337927 \tabularnewline
0.35 & 0.713314117626291 & 0.338017222503524 \tabularnewline
0.36 & 0.786820394028416 & 0.287153840968235 \tabularnewline
0.37 & 0.847734569394196 & 0.231385811018267 \tabularnewline
0.38 & 0.895649141411915 & 0.176959897526759 \tabularnewline
0.39 & 0.931444180001788 & 0.128521583692561 \tabularnewline
0.4 & 0.95685452694443 & 0.0886871895734502 \tabularnewline
0.41 & 0.974003365453769 & 0.0581742160489659 \tabularnewline
0.42 & 0.985010590258821 & 0.0362876983452929 \tabularnewline
0.43 & 0.991732688331906 & 0.0215331024029383 \tabularnewline
0.44 & 0.995639985967898 & 0.012159917321909 \tabularnewline
0.45 & 0.997802797236275 & 0.0065384056919408 \tabularnewline
0.46 & 0.998944591177689 & 0.0033531518965296 \tabularnewline
0.47 & 0.999523484037108 & 0.00165355038811435 \tabularnewline
0.48 & 0.999815279641239 & 0.00082179636124926 \tabularnewline
0.49 & 0.999984822743554 & 0.000534779193469785 \tabularnewline
0.5 & 1.00014337119428 & 0.000725754616628171 \tabularnewline
0.51 & 1.00039665797673 & 0.00142762111189801 \tabularnewline
0.52 & 1.00089159900766 & 0.00289956327583829 \tabularnewline
0.53 & 1.00186984697436 & 0.00568667909069126 \tabularnewline
0.54 & 1.00373374355172 & 0.0106456732585822 \tabularnewline
0.55 & 1.00712425078831 & 0.0189859652142148 \tabularnewline
0.56 & 1.01300079576557 & 0.0322401937737238 \tabularnewline
0.57 & 1.02270054852119 & 0.0521108957900006 \tabularnewline
0.58 & 1.03794280469017 & 0.0801510916666946 \tabularnewline
0.59 & 1.06073891236432 & 0.117273775539590 \tabularnewline
0.6 & 1.09317684895265 & 0.163173506685861 \tabularnewline
0.61 & 1.13707706905704 & 0.215813782940168 \tabularnewline
0.62 & 1.19356065055833 & 0.27120317626571 \tabularnewline
0.63 & 1.26262017231697 & 0.32365328423618 \tabularnewline
0.64 & 1.34281791643354 & 0.366609417026418 \tabularnewline
0.65 & 1.43123387957142 & 0.393941195710274 \tabularnewline
0.66 & 1.52373724818802 & 0.401381182715485 \tabularnewline
0.67 & 1.61556871446554 & 0.38767546772253 \tabularnewline
0.68 & 1.70212650086947 & 0.355095991929299 \tabularnewline
0.69 & 1.77978381172248 & 0.309104962772337 \tabularnewline
0.7 & 1.84655665001088 & 0.257345762159653 \tabularnewline
0.71 & 1.90248919204680 & 0.208370499270408 \tabularnewline
0.72 & 1.94970173548845 & 0.170706389233664 \tabularnewline
0.73 & 1.99211378896172 & 0.152374902560141 \tabularnewline
0.74 & 2.03488565439207 & 0.158994483848086 \tabularnewline
0.75 & 2.08362242416669 & 0.190019930627988 \tabularnewline
0.76 & 2.14339254391784 & 0.239057942750092 \tabularnewline
0.77 & 2.21767055790026 & 0.296715007324829 \tabularnewline
0.78 & 2.30742538947095 & 0.351866201586163 \tabularnewline
0.79 & 2.41068460915990 & 0.393234425775915 \tabularnewline
0.8 & 2.52290868025979 & 0.412319124738313 \tabularnewline
0.81 & 2.63831912607341 & 0.406649665635413 \tabularnewline
0.82 & 2.75194326955501 & 0.381814828779267 \tabularnewline
0.83 & 2.86169846396676 & 0.351131704599134 \tabularnewline
0.84 & 2.96957497048081 & 0.332206023835871 \tabularnewline
0.85 & 3.08113166873323 & 0.338998924695342 \tabularnewline
0.86 & 3.20321111450266 & 0.371663063612532 \tabularnewline
0.87 & 3.3408516106188 & 0.415434520903024 \tabularnewline
0.88 & 3.49527408565957 & 0.451238586142931 \tabularnewline
0.89 & 3.66472649502292 & 0.468584741388248 \tabularnewline
0.9 & 3.84838707518581 & 0.474508392003832 \tabularnewline
0.91 & 4.05125426616043 & 0.492175273235499 \tabularnewline
0.92 & 4.28723318323815 & 0.544561676853438 \tabularnewline
0.93 & 4.57999812999223 & 0.639968298547166 \tabularnewline
0.94 & 4.96393126187939 & 0.783604119064965 \tabularnewline
0.95 & 5.4850868167916 & 0.98386836717936 \tabularnewline
0.96 & 6.2008281332431 & 1.21658758323510 \tabularnewline
0.97 & 7.21058901130776 & 1.43436847045421 \tabularnewline
0.98 & 8.80639061561976 & 1.83642259766095 \tabularnewline
0.99 & 11.4318487336894 & 3.18456338169046 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41468&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]0[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]0[/C][C]5.67253621749956e-16[/C][/ROW]
[ROW][C]0.04[/C][C]1.11022302462516e-15[/C][C]9.64331156974925e-15[/C][/ROW]
[ROW][C]0.05[/C][C]1.99840144432528e-14[/C][C]1.77550383607736e-13[/C][/ROW]
[ROW][C]0.06[/C][C]2.91544566266566e-13[/C][C]2.47776381980381e-12[/C][/ROW]
[ROW][C]0.07[/C][C]3.38729044813135e-12[/C][C]2.74119640174449e-11[/C][/ROW]
[ROW][C]0.08[/C][C]3.23603366325642e-11[/C][C]2.48986901209195e-10[/C][/ROW]
[ROW][C]0.09[/C][C]2.60414134700682e-10[/C][C]1.90261289313185e-09[/C][/ROW]
[ROW][C]0.1[/C][C]1.79840142777721e-09[/C][C]1.24596940355350e-08[/C][/ROW]
[ROW][C]0.11[/C][C]1.08162058198857e-08[/C][C]7.09565075867341e-08[/C][/ROW]
[ROW][C]0.12[/C][C]5.73341962795126e-08[/C][C]3.55576842759077e-07[/C][/ROW]
[ROW][C]0.13[/C][C]2.70516171241297e-07[/C][C]1.58328585304525e-06[/C][/ROW]
[ROW][C]0.14[/C][C]1.14558003383447e-06[/C][C]6.3155657744489e-06[/C][/ROW]
[ROW][C]0.15[/C][C]4.38527279200684e-06[/C][C]2.27248238339414e-05[/C][/ROW]
[ROW][C]0.16[/C][C]1.52678685161334e-05[/C][C]7.42005894448725e-05[/C][/ROW]
[ROW][C]0.17[/C][C]4.86083538362436e-05[/C][C]0.000220990497074061[/C][/ROW]
[ROW][C]0.18[/C][C]0.00014218910251107[/C][C]0.000603057673004957[/C][/ROW]
[ROW][C]0.19[/C][C]0.000383794572980101[/C][C]0.00151386950438919[/C][/ROW]
[ROW][C]0.2[/C][C]0.000959587918884175[/C][C]0.0035082616256057[/C][/ROW]
[ROW][C]0.21[/C][C]0.00223025979285507[/C][C]0.00752891689889037[/C][/ROW]
[ROW][C]0.22[/C][C]0.00483420361828979[/C][C]0.0150048185131738[/C][/ROW]
[ROW][C]0.23[/C][C]0.00980198532098597[/C][C]0.0278409175278674[/C][/ROW]
[ROW][C]0.24[/C][C]0.0186454034693826[/C][C]0.0482038355517531[/C][/ROW]
[ROW][C]0.25[/C][C]0.0333652988149911[/C][C]0.0780406592859595[/C][/ROW]
[ROW][C]0.26[/C][C]0.0563179845356832[/C][C]0.118362691716386[/C][/ROW]
[ROW][C]0.27[/C][C]0.0899033729606302[/C][C]0.168463024313861[/C][/ROW]
[ROW][C]0.28[/C][C]0.136091847787714[/C][C]0.225353253352747[/C][/ROW]
[ROW][C]0.29[/C][C]0.195878296619079[/C][C]0.283731931266315[/C][/ROW]
[ROW][C]0.3[/C][C]0.268811331361273[/C][C]0.336666959547388[/C][/ROW]
[ROW][C]0.31[/C][C]0.352760553542688[/C][C]0.376925809036133[/C][/ROW]
[ROW][C]0.32[/C][C]0.444036152210545[/C][C]0.398607065452535[/C][/ROW]
[ROW][C]0.33[/C][C]0.537872933898274[/C][C]0.398563820492903[/C][/ROW]
[ROW][C]0.34[/C][C]0.629172765552403[/C][C]0.377145688337927[/C][/ROW]
[ROW][C]0.35[/C][C]0.713314117626291[/C][C]0.338017222503524[/C][/ROW]
[ROW][C]0.36[/C][C]0.786820394028416[/C][C]0.287153840968235[/C][/ROW]
[ROW][C]0.37[/C][C]0.847734569394196[/C][C]0.231385811018267[/C][/ROW]
[ROW][C]0.38[/C][C]0.895649141411915[/C][C]0.176959897526759[/C][/ROW]
[ROW][C]0.39[/C][C]0.931444180001788[/C][C]0.128521583692561[/C][/ROW]
[ROW][C]0.4[/C][C]0.95685452694443[/C][C]0.0886871895734502[/C][/ROW]
[ROW][C]0.41[/C][C]0.974003365453769[/C][C]0.0581742160489659[/C][/ROW]
[ROW][C]0.42[/C][C]0.985010590258821[/C][C]0.0362876983452929[/C][/ROW]
[ROW][C]0.43[/C][C]0.991732688331906[/C][C]0.0215331024029383[/C][/ROW]
[ROW][C]0.44[/C][C]0.995639985967898[/C][C]0.012159917321909[/C][/ROW]
[ROW][C]0.45[/C][C]0.997802797236275[/C][C]0.0065384056919408[/C][/ROW]
[ROW][C]0.46[/C][C]0.998944591177689[/C][C]0.0033531518965296[/C][/ROW]
[ROW][C]0.47[/C][C]0.999523484037108[/C][C]0.00165355038811435[/C][/ROW]
[ROW][C]0.48[/C][C]0.999815279641239[/C][C]0.00082179636124926[/C][/ROW]
[ROW][C]0.49[/C][C]0.999984822743554[/C][C]0.000534779193469785[/C][/ROW]
[ROW][C]0.5[/C][C]1.00014337119428[/C][C]0.000725754616628171[/C][/ROW]
[ROW][C]0.51[/C][C]1.00039665797673[/C][C]0.00142762111189801[/C][/ROW]
[ROW][C]0.52[/C][C]1.00089159900766[/C][C]0.00289956327583829[/C][/ROW]
[ROW][C]0.53[/C][C]1.00186984697436[/C][C]0.00568667909069126[/C][/ROW]
[ROW][C]0.54[/C][C]1.00373374355172[/C][C]0.0106456732585822[/C][/ROW]
[ROW][C]0.55[/C][C]1.00712425078831[/C][C]0.0189859652142148[/C][/ROW]
[ROW][C]0.56[/C][C]1.01300079576557[/C][C]0.0322401937737238[/C][/ROW]
[ROW][C]0.57[/C][C]1.02270054852119[/C][C]0.0521108957900006[/C][/ROW]
[ROW][C]0.58[/C][C]1.03794280469017[/C][C]0.0801510916666946[/C][/ROW]
[ROW][C]0.59[/C][C]1.06073891236432[/C][C]0.117273775539590[/C][/ROW]
[ROW][C]0.6[/C][C]1.09317684895265[/C][C]0.163173506685861[/C][/ROW]
[ROW][C]0.61[/C][C]1.13707706905704[/C][C]0.215813782940168[/C][/ROW]
[ROW][C]0.62[/C][C]1.19356065055833[/C][C]0.27120317626571[/C][/ROW]
[ROW][C]0.63[/C][C]1.26262017231697[/C][C]0.32365328423618[/C][/ROW]
[ROW][C]0.64[/C][C]1.34281791643354[/C][C]0.366609417026418[/C][/ROW]
[ROW][C]0.65[/C][C]1.43123387957142[/C][C]0.393941195710274[/C][/ROW]
[ROW][C]0.66[/C][C]1.52373724818802[/C][C]0.401381182715485[/C][/ROW]
[ROW][C]0.67[/C][C]1.61556871446554[/C][C]0.38767546772253[/C][/ROW]
[ROW][C]0.68[/C][C]1.70212650086947[/C][C]0.355095991929299[/C][/ROW]
[ROW][C]0.69[/C][C]1.77978381172248[/C][C]0.309104962772337[/C][/ROW]
[ROW][C]0.7[/C][C]1.84655665001088[/C][C]0.257345762159653[/C][/ROW]
[ROW][C]0.71[/C][C]1.90248919204680[/C][C]0.208370499270408[/C][/ROW]
[ROW][C]0.72[/C][C]1.94970173548845[/C][C]0.170706389233664[/C][/ROW]
[ROW][C]0.73[/C][C]1.99211378896172[/C][C]0.152374902560141[/C][/ROW]
[ROW][C]0.74[/C][C]2.03488565439207[/C][C]0.158994483848086[/C][/ROW]
[ROW][C]0.75[/C][C]2.08362242416669[/C][C]0.190019930627988[/C][/ROW]
[ROW][C]0.76[/C][C]2.14339254391784[/C][C]0.239057942750092[/C][/ROW]
[ROW][C]0.77[/C][C]2.21767055790026[/C][C]0.296715007324829[/C][/ROW]
[ROW][C]0.78[/C][C]2.30742538947095[/C][C]0.351866201586163[/C][/ROW]
[ROW][C]0.79[/C][C]2.41068460915990[/C][C]0.393234425775915[/C][/ROW]
[ROW][C]0.8[/C][C]2.52290868025979[/C][C]0.412319124738313[/C][/ROW]
[ROW][C]0.81[/C][C]2.63831912607341[/C][C]0.406649665635413[/C][/ROW]
[ROW][C]0.82[/C][C]2.75194326955501[/C][C]0.381814828779267[/C][/ROW]
[ROW][C]0.83[/C][C]2.86169846396676[/C][C]0.351131704599134[/C][/ROW]
[ROW][C]0.84[/C][C]2.96957497048081[/C][C]0.332206023835871[/C][/ROW]
[ROW][C]0.85[/C][C]3.08113166873323[/C][C]0.338998924695342[/C][/ROW]
[ROW][C]0.86[/C][C]3.20321111450266[/C][C]0.371663063612532[/C][/ROW]
[ROW][C]0.87[/C][C]3.3408516106188[/C][C]0.415434520903024[/C][/ROW]
[ROW][C]0.88[/C][C]3.49527408565957[/C][C]0.451238586142931[/C][/ROW]
[ROW][C]0.89[/C][C]3.66472649502292[/C][C]0.468584741388248[/C][/ROW]
[ROW][C]0.9[/C][C]3.84838707518581[/C][C]0.474508392003832[/C][/ROW]
[ROW][C]0.91[/C][C]4.05125426616043[/C][C]0.492175273235499[/C][/ROW]
[ROW][C]0.92[/C][C]4.28723318323815[/C][C]0.544561676853438[/C][/ROW]
[ROW][C]0.93[/C][C]4.57999812999223[/C][C]0.639968298547166[/C][/ROW]
[ROW][C]0.94[/C][C]4.96393126187939[/C][C]0.783604119064965[/C][/ROW]
[ROW][C]0.95[/C][C]5.4850868167916[/C][C]0.98386836717936[/C][/ROW]
[ROW][C]0.96[/C][C]6.2008281332431[/C][C]1.21658758323510[/C][/ROW]
[ROW][C]0.97[/C][C]7.21058901130776[/C][C]1.43436847045421[/C][/ROW]
[ROW][C]0.98[/C][C]8.80639061561976[/C][C]1.83642259766095[/C][/ROW]
[ROW][C]0.99[/C][C]11.4318487336894[/C][C]3.18456338169046[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41468&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41468&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
0.0100
0.0200
0.0305.67253621749956e-16
0.041.11022302462516e-159.64331156974925e-15
0.051.99840144432528e-141.77550383607736e-13
0.062.91544566266566e-132.47776381980381e-12
0.073.38729044813135e-122.74119640174449e-11
0.083.23603366325642e-112.48986901209195e-10
0.092.60414134700682e-101.90261289313185e-09
0.11.79840142777721e-091.24596940355350e-08
0.111.08162058198857e-087.09565075867341e-08
0.125.73341962795126e-083.55576842759077e-07
0.132.70516171241297e-071.58328585304525e-06
0.141.14558003383447e-066.3155657744489e-06
0.154.38527279200684e-062.27248238339414e-05
0.161.52678685161334e-057.42005894448725e-05
0.174.86083538362436e-050.000220990497074061
0.180.000142189102511070.000603057673004957
0.190.0003837945729801010.00151386950438919
0.20.0009595879188841750.0035082616256057
0.210.002230259792855070.00752891689889037
0.220.004834203618289790.0150048185131738
0.230.009801985320985970.0278409175278674
0.240.01864540346938260.0482038355517531
0.250.03336529881499110.0780406592859595
0.260.05631798453568320.118362691716386
0.270.08990337296063020.168463024313861
0.280.1360918477877140.225353253352747
0.290.1958782966190790.283731931266315
0.30.2688113313612730.336666959547388
0.310.3527605535426880.376925809036133
0.320.4440361522105450.398607065452535
0.330.5378729338982740.398563820492903
0.340.6291727655524030.377145688337927
0.350.7133141176262910.338017222503524
0.360.7868203940284160.287153840968235
0.370.8477345693941960.231385811018267
0.380.8956491414119150.176959897526759
0.390.9314441800017880.128521583692561
0.40.956854526944430.0886871895734502
0.410.9740033654537690.0581742160489659
0.420.9850105902588210.0362876983452929
0.430.9917326883319060.0215331024029383
0.440.9956399859678980.012159917321909
0.450.9978027972362750.0065384056919408
0.460.9989445911776890.0033531518965296
0.470.9995234840371080.00165355038811435
0.480.9998152796412390.00082179636124926
0.490.9999848227435540.000534779193469785
0.51.000143371194280.000725754616628171
0.511.000396657976730.00142762111189801
0.521.000891599007660.00289956327583829
0.531.001869846974360.00568667909069126
0.541.003733743551720.0106456732585822
0.551.007124250788310.0189859652142148
0.561.013000795765570.0322401937737238
0.571.022700548521190.0521108957900006
0.581.037942804690170.0801510916666946
0.591.060738912364320.117273775539590
0.61.093176848952650.163173506685861
0.611.137077069057040.215813782940168
0.621.193560650558330.27120317626571
0.631.262620172316970.32365328423618
0.641.342817916433540.366609417026418
0.651.431233879571420.393941195710274
0.661.523737248188020.401381182715485
0.671.615568714465540.38767546772253
0.681.702126500869470.355095991929299
0.691.779783811722480.309104962772337
0.71.846556650010880.257345762159653
0.711.902489192046800.208370499270408
0.721.949701735488450.170706389233664
0.731.992113788961720.152374902560141
0.742.034885654392070.158994483848086
0.752.083622424166690.190019930627988
0.762.143392543917840.239057942750092
0.772.217670557900260.296715007324829
0.782.307425389470950.351866201586163
0.792.410684609159900.393234425775915
0.82.522908680259790.412319124738313
0.812.638319126073410.406649665635413
0.822.751943269555010.381814828779267
0.832.861698463966760.351131704599134
0.842.969574970480810.332206023835871
0.853.081131668733230.338998924695342
0.863.203211114502660.371663063612532
0.873.34085161061880.415434520903024
0.883.495274085659570.451238586142931
0.893.664726495022920.468584741388248
0.93.848387075185810.474508392003832
0.914.051254266160430.492175273235499
0.924.287233183238150.544561676853438
0.934.579998129992230.639968298547166
0.944.963931261879390.783604119064965
0.955.48508681679160.98386836717936
0.966.20082813324311.21658758323510
0.977.210589011307761.43436847045421
0.988.806390615619761.83642259766095
0.9911.43184873368943.18456338169046


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')