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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 11 Dec 2016 12:24:04 +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/Dec/11/t14814595022yyax2z8nv9fmi0.htm/, Retrieved Thu, 02 May 2024 05:48:29 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 02 May 2024 05:48:29 +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 
2884
2505
3128
2765
2398
3015
2769
2840
2895
2761
2712
3051
2980
2790
3164
2629
2919
2653
2788
3031
2794
2448
2856
2703
2918
2766
2907
2516
2754
3000
3117
3265
2748
2970
3081
2679
3034
2958
3029
2697
2844
2604
3289
3217
2834
3141
2674
2883
3237
2905
3211
3058
2784
3125
3370
3021
3152
3210
2930
3229
2961
2927
3342
2999
2593
3168
3547
3037
2911
2869
2827
2988

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=&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=&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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012415.9147524863849.8082040303083
0.022444.3020224384252.2757987340386
0.032475.4224956941555.1846620106713
0.042505.2795069940557.5068034001241
0.052532.806813890658.7557979119459
0.062557.9432462880958.2667139492722
0.072580.7329565047455.9889556092504
0.082601.198016093452.6006757378438
0.092619.4274766837948.9634837989623
0.12635.6238626917245.6556085041791
0.112650.0752140488642.9159403565583
0.122663.097555589740.7915331556095
0.132674.9858549016439.2339791986877
0.142685.9852631960438.125056753612
0.152696.2790025832437.2945219773584
0.162705.987129463936.5290124276395
0.172715.1733812037635.6335965003267
0.182723.8590501435834.4791601974579
0.192732.0420298363333.0450913465295
0.22739.7174665941531.4169377262631
0.212746.8956249031329.7517027656373
0.222753.6133186588628.2593427177031
0.232759.9371725970727.1248138854047
0.242765.9591814570326.4998856476177
0.252771.7867390742426.4421734389016
0.262777.53011171726.9293410692163
0.272783.2902353996427.859668932244
0.282789.1490008435829.0973519763718
0.292795.1632121176630.4918951060317
0.32801.3624681800431.8977930087325
0.312807.7505010383433.1917547135196
0.322814.3090723999934.2797487611957
0.332821.0033660673735.1050655024982
0.342827.7878626907835.6338038694795
0.352834.6118831279335.8682955831777
0.362841.4242719139535.8214638853037
0.372848.1769990375235.5239034331656
0.382854.8277255495935.003725105657
0.392861.3415572951234.3136217500215
0.42867.692274434533.4839417929016
0.412873.863275370832.5734519703488
0.422879.848344194331.6285541732891
0.432885.6521920924930.7140383943704
0.442891.2905906801929.896672682251
0.452896.7898527065829.2387915759667
0.462902.1854444538328.8041372605153
0.472907.5196293887128.6321681927639
0.482912.8382161704828.7321702936934
0.492918.1866731119529.0962156914932
0.52923.6060290148129.6789637727821
0.512929.1290676149430.4164807609655
0.522934.777316686431.2302816694644
0.532940.5592319287132.0274466267279
0.542946.4698011918432.7301360413361
0.552952.4915850603533.2652045474335
0.562958.5970121875333.588905677941
0.572964.7516049478833.6730133924705
0.582970.9177500508633.519313919653
0.592977.0586528458733.1372890868939
0.62983.1422005998732.57534024037
0.612989.1445667806531.8752895389618
0.622995.0534659927931.1184892363368
0.633000.870977574530.3662712387229
0.643006.6157796464429.7224789656204
0.653012.3244941341529.2854943579755
0.663018.0516919679929.1514491114605
0.673023.8680258945429.4216686837475
0.683029.8560285343430.1555809266908
0.693036.1033919100431.3738374400591
0.73042.6940331516533.0279975977062
0.713049.697876401735.0054266742665
0.723057.1608947515137.1399981419627
0.733065.0973598041139.2219088127137
0.743073.4862425836941.0399046901569
0.753082.2731692872342.4142248095047
0.763091.3782649202943.2245258475961
0.773100.7087979184743.4363807144858
0.783110.1741168212143.1005260646866
0.793119.6993939612142.3555835146848
0.83129.2345919302441.3779974704532
0.813138.75611371940.341977061639
0.823148.2607505292939.366947418588
0.833157.7543713402438.4825713648624
0.843167.2404880249437.6178418602833
0.853176.7153312522936.6608842997384
0.863186.1754320131735.5170392591574
0.873195.6405019376134.2090015532777
0.883205.1891392421232.9290120689907
0.893214.999041858532.0559827739387
0.93225.3791296764132.0749513781586
0.913236.7808876588633.4174204567776
0.923249.7850038551236.2519585031783
0.933265.0880521931940.3670790663831
0.943283.5793328349345.2443800247658
0.953306.6813946327450.4842437311163
0.963337.0331761701557.1994210952945
0.973378.7892170606670.5553176925304
0.983434.9815211514198.518443176781
0.993499.0970506884139.830340226133

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2415.91475248638 & 49.8082040303083 \tabularnewline
0.02 & 2444.30202243842 & 52.2757987340386 \tabularnewline
0.03 & 2475.42249569415 & 55.1846620106713 \tabularnewline
0.04 & 2505.27950699405 & 57.5068034001241 \tabularnewline
0.05 & 2532.8068138906 & 58.7557979119459 \tabularnewline
0.06 & 2557.94324628809 & 58.2667139492722 \tabularnewline
0.07 & 2580.73295650474 & 55.9889556092504 \tabularnewline
0.08 & 2601.1980160934 & 52.6006757378438 \tabularnewline
0.09 & 2619.42747668379 & 48.9634837989623 \tabularnewline
0.1 & 2635.62386269172 & 45.6556085041791 \tabularnewline
0.11 & 2650.07521404886 & 42.9159403565583 \tabularnewline
0.12 & 2663.0975555897 & 40.7915331556095 \tabularnewline
0.13 & 2674.98585490164 & 39.2339791986877 \tabularnewline
0.14 & 2685.98526319604 & 38.125056753612 \tabularnewline
0.15 & 2696.27900258324 & 37.2945219773584 \tabularnewline
0.16 & 2705.9871294639 & 36.5290124276395 \tabularnewline
0.17 & 2715.17338120376 & 35.6335965003267 \tabularnewline
0.18 & 2723.85905014358 & 34.4791601974579 \tabularnewline
0.19 & 2732.04202983633 & 33.0450913465295 \tabularnewline
0.2 & 2739.71746659415 & 31.4169377262631 \tabularnewline
0.21 & 2746.89562490313 & 29.7517027656373 \tabularnewline
0.22 & 2753.61331865886 & 28.2593427177031 \tabularnewline
0.23 & 2759.93717259707 & 27.1248138854047 \tabularnewline
0.24 & 2765.95918145703 & 26.4998856476177 \tabularnewline
0.25 & 2771.78673907424 & 26.4421734389016 \tabularnewline
0.26 & 2777.530111717 & 26.9293410692163 \tabularnewline
0.27 & 2783.29023539964 & 27.859668932244 \tabularnewline
0.28 & 2789.14900084358 & 29.0973519763718 \tabularnewline
0.29 & 2795.16321211766 & 30.4918951060317 \tabularnewline
0.3 & 2801.36246818004 & 31.8977930087325 \tabularnewline
0.31 & 2807.75050103834 & 33.1917547135196 \tabularnewline
0.32 & 2814.30907239999 & 34.2797487611957 \tabularnewline
0.33 & 2821.00336606737 & 35.1050655024982 \tabularnewline
0.34 & 2827.78786269078 & 35.6338038694795 \tabularnewline
0.35 & 2834.61188312793 & 35.8682955831777 \tabularnewline
0.36 & 2841.42427191395 & 35.8214638853037 \tabularnewline
0.37 & 2848.17699903752 & 35.5239034331656 \tabularnewline
0.38 & 2854.82772554959 & 35.003725105657 \tabularnewline
0.39 & 2861.34155729512 & 34.3136217500215 \tabularnewline
0.4 & 2867.6922744345 & 33.4839417929016 \tabularnewline
0.41 & 2873.8632753708 & 32.5734519703488 \tabularnewline
0.42 & 2879.8483441943 & 31.6285541732891 \tabularnewline
0.43 & 2885.65219209249 & 30.7140383943704 \tabularnewline
0.44 & 2891.29059068019 & 29.896672682251 \tabularnewline
0.45 & 2896.78985270658 & 29.2387915759667 \tabularnewline
0.46 & 2902.18544445383 & 28.8041372605153 \tabularnewline
0.47 & 2907.51962938871 & 28.6321681927639 \tabularnewline
0.48 & 2912.83821617048 & 28.7321702936934 \tabularnewline
0.49 & 2918.18667311195 & 29.0962156914932 \tabularnewline
0.5 & 2923.60602901481 & 29.6789637727821 \tabularnewline
0.51 & 2929.12906761494 & 30.4164807609655 \tabularnewline
0.52 & 2934.7773166864 & 31.2302816694644 \tabularnewline
0.53 & 2940.55923192871 & 32.0274466267279 \tabularnewline
0.54 & 2946.46980119184 & 32.7301360413361 \tabularnewline
0.55 & 2952.49158506035 & 33.2652045474335 \tabularnewline
0.56 & 2958.59701218753 & 33.588905677941 \tabularnewline
0.57 & 2964.75160494788 & 33.6730133924705 \tabularnewline
0.58 & 2970.91775005086 & 33.519313919653 \tabularnewline
0.59 & 2977.05865284587 & 33.1372890868939 \tabularnewline
0.6 & 2983.14220059987 & 32.57534024037 \tabularnewline
0.61 & 2989.14456678065 & 31.8752895389618 \tabularnewline
0.62 & 2995.05346599279 & 31.1184892363368 \tabularnewline
0.63 & 3000.8709775745 & 30.3662712387229 \tabularnewline
0.64 & 3006.61577964644 & 29.7224789656204 \tabularnewline
0.65 & 3012.32449413415 & 29.2854943579755 \tabularnewline
0.66 & 3018.05169196799 & 29.1514491114605 \tabularnewline
0.67 & 3023.86802589454 & 29.4216686837475 \tabularnewline
0.68 & 3029.85602853434 & 30.1555809266908 \tabularnewline
0.69 & 3036.10339191004 & 31.3738374400591 \tabularnewline
0.7 & 3042.69403315165 & 33.0279975977062 \tabularnewline
0.71 & 3049.6978764017 & 35.0054266742665 \tabularnewline
0.72 & 3057.16089475151 & 37.1399981419627 \tabularnewline
0.73 & 3065.09735980411 & 39.2219088127137 \tabularnewline
0.74 & 3073.48624258369 & 41.0399046901569 \tabularnewline
0.75 & 3082.27316928723 & 42.4142248095047 \tabularnewline
0.76 & 3091.37826492029 & 43.2245258475961 \tabularnewline
0.77 & 3100.70879791847 & 43.4363807144858 \tabularnewline
0.78 & 3110.17411682121 & 43.1005260646866 \tabularnewline
0.79 & 3119.69939396121 & 42.3555835146848 \tabularnewline
0.8 & 3129.23459193024 & 41.3779974704532 \tabularnewline
0.81 & 3138.756113719 & 40.341977061639 \tabularnewline
0.82 & 3148.26075052929 & 39.366947418588 \tabularnewline
0.83 & 3157.75437134024 & 38.4825713648624 \tabularnewline
0.84 & 3167.24048802494 & 37.6178418602833 \tabularnewline
0.85 & 3176.71533125229 & 36.6608842997384 \tabularnewline
0.86 & 3186.17543201317 & 35.5170392591574 \tabularnewline
0.87 & 3195.64050193761 & 34.2090015532777 \tabularnewline
0.88 & 3205.18913924212 & 32.9290120689907 \tabularnewline
0.89 & 3214.9990418585 & 32.0559827739387 \tabularnewline
0.9 & 3225.37912967641 & 32.0749513781586 \tabularnewline
0.91 & 3236.78088765886 & 33.4174204567776 \tabularnewline
0.92 & 3249.78500385512 & 36.2519585031783 \tabularnewline
0.93 & 3265.08805219319 & 40.3670790663831 \tabularnewline
0.94 & 3283.57933283493 & 45.2443800247658 \tabularnewline
0.95 & 3306.68139463274 & 50.4842437311163 \tabularnewline
0.96 & 3337.03317617015 & 57.1994210952945 \tabularnewline
0.97 & 3378.78921706066 & 70.5553176925304 \tabularnewline
0.98 & 3434.98152115141 & 98.518443176781 \tabularnewline
0.99 & 3499.0970506884 & 139.830340226133 \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]2415.91475248638[/C][C]49.8082040303083[/C][/ROW]
[ROW][C]0.02[/C][C]2444.30202243842[/C][C]52.2757987340386[/C][/ROW]
[ROW][C]0.03[/C][C]2475.42249569415[/C][C]55.1846620106713[/C][/ROW]
[ROW][C]0.04[/C][C]2505.27950699405[/C][C]57.5068034001241[/C][/ROW]
[ROW][C]0.05[/C][C]2532.8068138906[/C][C]58.7557979119459[/C][/ROW]
[ROW][C]0.06[/C][C]2557.94324628809[/C][C]58.2667139492722[/C][/ROW]
[ROW][C]0.07[/C][C]2580.73295650474[/C][C]55.9889556092504[/C][/ROW]
[ROW][C]0.08[/C][C]2601.1980160934[/C][C]52.6006757378438[/C][/ROW]
[ROW][C]0.09[/C][C]2619.42747668379[/C][C]48.9634837989623[/C][/ROW]
[ROW][C]0.1[/C][C]2635.62386269172[/C][C]45.6556085041791[/C][/ROW]
[ROW][C]0.11[/C][C]2650.07521404886[/C][C]42.9159403565583[/C][/ROW]
[ROW][C]0.12[/C][C]2663.0975555897[/C][C]40.7915331556095[/C][/ROW]
[ROW][C]0.13[/C][C]2674.98585490164[/C][C]39.2339791986877[/C][/ROW]
[ROW][C]0.14[/C][C]2685.98526319604[/C][C]38.125056753612[/C][/ROW]
[ROW][C]0.15[/C][C]2696.27900258324[/C][C]37.2945219773584[/C][/ROW]
[ROW][C]0.16[/C][C]2705.9871294639[/C][C]36.5290124276395[/C][/ROW]
[ROW][C]0.17[/C][C]2715.17338120376[/C][C]35.6335965003267[/C][/ROW]
[ROW][C]0.18[/C][C]2723.85905014358[/C][C]34.4791601974579[/C][/ROW]
[ROW][C]0.19[/C][C]2732.04202983633[/C][C]33.0450913465295[/C][/ROW]
[ROW][C]0.2[/C][C]2739.71746659415[/C][C]31.4169377262631[/C][/ROW]
[ROW][C]0.21[/C][C]2746.89562490313[/C][C]29.7517027656373[/C][/ROW]
[ROW][C]0.22[/C][C]2753.61331865886[/C][C]28.2593427177031[/C][/ROW]
[ROW][C]0.23[/C][C]2759.93717259707[/C][C]27.1248138854047[/C][/ROW]
[ROW][C]0.24[/C][C]2765.95918145703[/C][C]26.4998856476177[/C][/ROW]
[ROW][C]0.25[/C][C]2771.78673907424[/C][C]26.4421734389016[/C][/ROW]
[ROW][C]0.26[/C][C]2777.530111717[/C][C]26.9293410692163[/C][/ROW]
[ROW][C]0.27[/C][C]2783.29023539964[/C][C]27.859668932244[/C][/ROW]
[ROW][C]0.28[/C][C]2789.14900084358[/C][C]29.0973519763718[/C][/ROW]
[ROW][C]0.29[/C][C]2795.16321211766[/C][C]30.4918951060317[/C][/ROW]
[ROW][C]0.3[/C][C]2801.36246818004[/C][C]31.8977930087325[/C][/ROW]
[ROW][C]0.31[/C][C]2807.75050103834[/C][C]33.1917547135196[/C][/ROW]
[ROW][C]0.32[/C][C]2814.30907239999[/C][C]34.2797487611957[/C][/ROW]
[ROW][C]0.33[/C][C]2821.00336606737[/C][C]35.1050655024982[/C][/ROW]
[ROW][C]0.34[/C][C]2827.78786269078[/C][C]35.6338038694795[/C][/ROW]
[ROW][C]0.35[/C][C]2834.61188312793[/C][C]35.8682955831777[/C][/ROW]
[ROW][C]0.36[/C][C]2841.42427191395[/C][C]35.8214638853037[/C][/ROW]
[ROW][C]0.37[/C][C]2848.17699903752[/C][C]35.5239034331656[/C][/ROW]
[ROW][C]0.38[/C][C]2854.82772554959[/C][C]35.003725105657[/C][/ROW]
[ROW][C]0.39[/C][C]2861.34155729512[/C][C]34.3136217500215[/C][/ROW]
[ROW][C]0.4[/C][C]2867.6922744345[/C][C]33.4839417929016[/C][/ROW]
[ROW][C]0.41[/C][C]2873.8632753708[/C][C]32.5734519703488[/C][/ROW]
[ROW][C]0.42[/C][C]2879.8483441943[/C][C]31.6285541732891[/C][/ROW]
[ROW][C]0.43[/C][C]2885.65219209249[/C][C]30.7140383943704[/C][/ROW]
[ROW][C]0.44[/C][C]2891.29059068019[/C][C]29.896672682251[/C][/ROW]
[ROW][C]0.45[/C][C]2896.78985270658[/C][C]29.2387915759667[/C][/ROW]
[ROW][C]0.46[/C][C]2902.18544445383[/C][C]28.8041372605153[/C][/ROW]
[ROW][C]0.47[/C][C]2907.51962938871[/C][C]28.6321681927639[/C][/ROW]
[ROW][C]0.48[/C][C]2912.83821617048[/C][C]28.7321702936934[/C][/ROW]
[ROW][C]0.49[/C][C]2918.18667311195[/C][C]29.0962156914932[/C][/ROW]
[ROW][C]0.5[/C][C]2923.60602901481[/C][C]29.6789637727821[/C][/ROW]
[ROW][C]0.51[/C][C]2929.12906761494[/C][C]30.4164807609655[/C][/ROW]
[ROW][C]0.52[/C][C]2934.7773166864[/C][C]31.2302816694644[/C][/ROW]
[ROW][C]0.53[/C][C]2940.55923192871[/C][C]32.0274466267279[/C][/ROW]
[ROW][C]0.54[/C][C]2946.46980119184[/C][C]32.7301360413361[/C][/ROW]
[ROW][C]0.55[/C][C]2952.49158506035[/C][C]33.2652045474335[/C][/ROW]
[ROW][C]0.56[/C][C]2958.59701218753[/C][C]33.588905677941[/C][/ROW]
[ROW][C]0.57[/C][C]2964.75160494788[/C][C]33.6730133924705[/C][/ROW]
[ROW][C]0.58[/C][C]2970.91775005086[/C][C]33.519313919653[/C][/ROW]
[ROW][C]0.59[/C][C]2977.05865284587[/C][C]33.1372890868939[/C][/ROW]
[ROW][C]0.6[/C][C]2983.14220059987[/C][C]32.57534024037[/C][/ROW]
[ROW][C]0.61[/C][C]2989.14456678065[/C][C]31.8752895389618[/C][/ROW]
[ROW][C]0.62[/C][C]2995.05346599279[/C][C]31.1184892363368[/C][/ROW]
[ROW][C]0.63[/C][C]3000.8709775745[/C][C]30.3662712387229[/C][/ROW]
[ROW][C]0.64[/C][C]3006.61577964644[/C][C]29.7224789656204[/C][/ROW]
[ROW][C]0.65[/C][C]3012.32449413415[/C][C]29.2854943579755[/C][/ROW]
[ROW][C]0.66[/C][C]3018.05169196799[/C][C]29.1514491114605[/C][/ROW]
[ROW][C]0.67[/C][C]3023.86802589454[/C][C]29.4216686837475[/C][/ROW]
[ROW][C]0.68[/C][C]3029.85602853434[/C][C]30.1555809266908[/C][/ROW]
[ROW][C]0.69[/C][C]3036.10339191004[/C][C]31.3738374400591[/C][/ROW]
[ROW][C]0.7[/C][C]3042.69403315165[/C][C]33.0279975977062[/C][/ROW]
[ROW][C]0.71[/C][C]3049.6978764017[/C][C]35.0054266742665[/C][/ROW]
[ROW][C]0.72[/C][C]3057.16089475151[/C][C]37.1399981419627[/C][/ROW]
[ROW][C]0.73[/C][C]3065.09735980411[/C][C]39.2219088127137[/C][/ROW]
[ROW][C]0.74[/C][C]3073.48624258369[/C][C]41.0399046901569[/C][/ROW]
[ROW][C]0.75[/C][C]3082.27316928723[/C][C]42.4142248095047[/C][/ROW]
[ROW][C]0.76[/C][C]3091.37826492029[/C][C]43.2245258475961[/C][/ROW]
[ROW][C]0.77[/C][C]3100.70879791847[/C][C]43.4363807144858[/C][/ROW]
[ROW][C]0.78[/C][C]3110.17411682121[/C][C]43.1005260646866[/C][/ROW]
[ROW][C]0.79[/C][C]3119.69939396121[/C][C]42.3555835146848[/C][/ROW]
[ROW][C]0.8[/C][C]3129.23459193024[/C][C]41.3779974704532[/C][/ROW]
[ROW][C]0.81[/C][C]3138.756113719[/C][C]40.341977061639[/C][/ROW]
[ROW][C]0.82[/C][C]3148.26075052929[/C][C]39.366947418588[/C][/ROW]
[ROW][C]0.83[/C][C]3157.75437134024[/C][C]38.4825713648624[/C][/ROW]
[ROW][C]0.84[/C][C]3167.24048802494[/C][C]37.6178418602833[/C][/ROW]
[ROW][C]0.85[/C][C]3176.71533125229[/C][C]36.6608842997384[/C][/ROW]
[ROW][C]0.86[/C][C]3186.17543201317[/C][C]35.5170392591574[/C][/ROW]
[ROW][C]0.87[/C][C]3195.64050193761[/C][C]34.2090015532777[/C][/ROW]
[ROW][C]0.88[/C][C]3205.18913924212[/C][C]32.9290120689907[/C][/ROW]
[ROW][C]0.89[/C][C]3214.9990418585[/C][C]32.0559827739387[/C][/ROW]
[ROW][C]0.9[/C][C]3225.37912967641[/C][C]32.0749513781586[/C][/ROW]
[ROW][C]0.91[/C][C]3236.78088765886[/C][C]33.4174204567776[/C][/ROW]
[ROW][C]0.92[/C][C]3249.78500385512[/C][C]36.2519585031783[/C][/ROW]
[ROW][C]0.93[/C][C]3265.08805219319[/C][C]40.3670790663831[/C][/ROW]
[ROW][C]0.94[/C][C]3283.57933283493[/C][C]45.2443800247658[/C][/ROW]
[ROW][C]0.95[/C][C]3306.68139463274[/C][C]50.4842437311163[/C][/ROW]
[ROW][C]0.96[/C][C]3337.03317617015[/C][C]57.1994210952945[/C][/ROW]
[ROW][C]0.97[/C][C]3378.78921706066[/C][C]70.5553176925304[/C][/ROW]
[ROW][C]0.98[/C][C]3434.98152115141[/C][C]98.518443176781[/C][/ROW]
[ROW][C]0.99[/C][C]3499.0970506884[/C][C]139.830340226133[/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
0.012415.9147524863849.8082040303083
0.022444.3020224384252.2757987340386
0.032475.4224956941555.1846620106713
0.042505.2795069940557.5068034001241
0.052532.806813890658.7557979119459
0.062557.9432462880958.2667139492722
0.072580.7329565047455.9889556092504
0.082601.198016093452.6006757378438
0.092619.4274766837948.9634837989623
0.12635.6238626917245.6556085041791
0.112650.0752140488642.9159403565583
0.122663.097555589740.7915331556095
0.132674.9858549016439.2339791986877
0.142685.9852631960438.125056753612
0.152696.2790025832437.2945219773584
0.162705.987129463936.5290124276395
0.172715.1733812037635.6335965003267
0.182723.8590501435834.4791601974579
0.192732.0420298363333.0450913465295
0.22739.7174665941531.4169377262631
0.212746.8956249031329.7517027656373
0.222753.6133186588628.2593427177031
0.232759.9371725970727.1248138854047
0.242765.9591814570326.4998856476177
0.252771.7867390742426.4421734389016
0.262777.53011171726.9293410692163
0.272783.2902353996427.859668932244
0.282789.1490008435829.0973519763718
0.292795.1632121176630.4918951060317
0.32801.3624681800431.8977930087325
0.312807.7505010383433.1917547135196
0.322814.3090723999934.2797487611957
0.332821.0033660673735.1050655024982
0.342827.7878626907835.6338038694795
0.352834.6118831279335.8682955831777
0.362841.4242719139535.8214638853037
0.372848.1769990375235.5239034331656
0.382854.8277255495935.003725105657
0.392861.3415572951234.3136217500215
0.42867.692274434533.4839417929016
0.412873.863275370832.5734519703488
0.422879.848344194331.6285541732891
0.432885.6521920924930.7140383943704
0.442891.2905906801929.896672682251
0.452896.7898527065829.2387915759667
0.462902.1854444538328.8041372605153
0.472907.5196293887128.6321681927639
0.482912.8382161704828.7321702936934
0.492918.1866731119529.0962156914932
0.52923.6060290148129.6789637727821
0.512929.1290676149430.4164807609655
0.522934.777316686431.2302816694644
0.532940.5592319287132.0274466267279
0.542946.4698011918432.7301360413361
0.552952.4915850603533.2652045474335
0.562958.5970121875333.588905677941
0.572964.7516049478833.6730133924705
0.582970.9177500508633.519313919653
0.592977.0586528458733.1372890868939
0.62983.1422005998732.57534024037
0.612989.1445667806531.8752895389618
0.622995.0534659927931.1184892363368
0.633000.870977574530.3662712387229
0.643006.6157796464429.7224789656204
0.653012.3244941341529.2854943579755
0.663018.0516919679929.1514491114605
0.673023.8680258945429.4216686837475
0.683029.8560285343430.1555809266908
0.693036.1033919100431.3738374400591
0.73042.6940331516533.0279975977062
0.713049.697876401735.0054266742665
0.723057.1608947515137.1399981419627
0.733065.0973598041139.2219088127137
0.743073.4862425836941.0399046901569
0.753082.2731692872342.4142248095047
0.763091.3782649202943.2245258475961
0.773100.7087979184743.4363807144858
0.783110.1741168212143.1005260646866
0.793119.6993939612142.3555835146848
0.83129.2345919302441.3779974704532
0.813138.75611371940.341977061639
0.823148.2607505292939.366947418588
0.833157.7543713402438.4825713648624
0.843167.2404880249437.6178418602833
0.853176.7153312522936.6608842997384
0.863186.1754320131735.5170392591574
0.873195.6405019376134.2090015532777
0.883205.1891392421232.9290120689907
0.893214.999041858532.0559827739387
0.93225.3791296764132.0749513781586
0.913236.7808876588633.4174204567776
0.923249.7850038551236.2519585031783
0.933265.0880521931940.3670790663831
0.943283.5793328349345.2443800247658
0.953306.6813946327450.4842437311163
0.963337.0331761701557.1994210952945
0.973378.7892170606670.5553176925304
0.983434.9815211514198.518443176781
0.993499.0970506884139.830340226133


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')