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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 07 Mar 2010 08:10:14 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/07/t1267974737lvdst9td4hjqyqo.htm/, Retrieved Wed, 19 Jan 2022 10:24:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74059, Retrieved Wed, 19 Jan 2022 10:24:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell-Davis per...] [2010-03-07 15:10:14] [5c964c3d7ddd2ed48ce2db94081575d2] [Current]
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Dataseries X:
2550
2867
3458
2961
3163
2880
3331
3062
3534
3622
4464
5411
2564
2820
3508
3088
3299
2939
3320
3418
3604
3495
4163
4882
2211
3260
2992
2425
2707
3244
3965
3315
3333
3583
4021
4904
2252
2952
3573
3048
3059
2731
3563
3092
3478
3478
4308
5029
2075
3264
3308
3688
3136
2824
3644
4694
2914
3686
4358
5587
2265
3685
3754
3708
3210
3517
3905
3670
4221
4404
5086
5725
2367
3819
4067
4022
3937
4365
4290




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74059&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74059&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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012118.49605406776108.707310145208
0.022178.2550957176983.9894875783848
0.032234.4173037742681.2561155215108
0.042285.2037224275697.4765607714408
0.052335.47755877167119.238772431721
0.062388.31538407263138.272958166516
0.072443.76801397292151.418903312491
0.082500.27653614287158.24870796821
0.092555.96009201712159.423669333482
0.12609.22782269953155.877307020186
0.112658.9476534721148.634946045985
0.122704.43888698961138.816765660799
0.132745.42198142031127.661591602768
0.142781.95957658703116.374938199786
0.152814.38587732936105.991226819900
0.162843.2221874748297.215993775738
0.172869.0869123115590.3974381921085
0.182892.6137252763485.5567313428445
0.192914.3892489589982.4854257533077
0.22934.9151771199580.8594537277928
0.212954.5935062211480.3184714219647
0.222973.7296385678080.5381994118133
0.232992.5466680811581.2718346396675
0.243011.2043248909882.3635366787047
0.253029.8170751252683.7253010830591
0.263048.4674189741185.3169916699574
0.273067.2124162611887.0751764612721
0.283086.083712932688.90512474042
0.293105.0834140496690.6364192321335
0.33124.1794855031192.0606495411728
0.313143.3045365270392.9594720279015
0.323162.360765898993.1620152581705
0.333181.2318887407892.5893254742137
0.343199.8006245615491.2906350079426
0.353217.9684969186589.4185142376797
0.363235.6737730506487.256592299875
0.373252.9035571803885.1263453408782
0.383269.6972304362383.3552442788658
0.393286.1402589158282.207195835928
0.43302.3494144241481.8367882686541
0.413318.4522192510482.235424881607
0.423334.5645761901783.2392146217544
0.433350.7708606421884.5774169749621
0.443367.1101877233985.9195116557772
0.453383.5712556108186.9394021519619
0.463400.0963941621887.3755234322423
0.473416.593603712687.083686819297
0.483432.9538585876986.0331821526855
0.493449.070098605984.3182403453876
0.53464.854301383282.1193262802408
0.513480.2497763188179.6739851935006
0.523495.2371197098677.2310320939355
0.533509.8337773233575.0060774297042
0.543524.088519009773.1458302402736
0.553538.0730601275671.7492434325969
0.563551.8734201741370.8413884384652
0.573565.5833832467370.4043554020434
0.583579.3017178925470.4335321416921
0.593593.1337844129170.9260320643829
0.63607.1969855078571.9392709180876
0.613621.6283878053673.5974530280528
0.623636.5919552289476.0556943754849
0.633652.2824017555279.522789357277
0.643668.9228910486684.1612941750235
0.653686.7548088571490.0527680582926
0.663706.0195714036297.1394963846222
0.673726.93462820901105.195974953336
0.683749.66793624935113.837152359278
0.693774.3165294581122.578483792972
0.73800.89473314684130.905222773152
0.713829.33573876704138.364552732886
0.723859.50687150012144.662597233296
0.733891.23480476505149.678224887698
0.743924.33356020982153.487912029752
0.753958.62685916768156.287185820801
0.763993.95831730047158.300531883446
0.774030.18819025132159.650572839355
0.784067.18269019644160.339614749199
0.794104.80888063000160.229799971469
0.84142.95167467655159.213105966532
0.814181.56651540517157.397373595032
0.824220.77015803784155.343114098387
0.834260.95328380469154.201682202798
0.844302.87667329022155.687185378243
0.854347.69581080433161.655140317292
0.864396.85917911661173.301357750272
0.874451.85551520646190.237712842067
0.884513.85024313868210.090461578088
0.894583.33898856423228.962730287422
0.94660.01816229482242.687528481764
0.914743.06623693385248.631770328168
0.924831.87861245453247.483452163752
0.934926.98379011791244.027239080493
0.945030.49273179472245.193775624485
0.955145.29609834451253.878794681564
0.965272.72522250307262.017502459467
0.975409.47503734641252.414125434097
0.985544.98524087846213.649453609252
0.995659.34340435304161.904476230116

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2118.49605406776 & 108.707310145208 \tabularnewline
0.02 & 2178.25509571769 & 83.9894875783848 \tabularnewline
0.03 & 2234.41730377426 & 81.2561155215108 \tabularnewline
0.04 & 2285.20372242756 & 97.4765607714408 \tabularnewline
0.05 & 2335.47755877167 & 119.238772431721 \tabularnewline
0.06 & 2388.31538407263 & 138.272958166516 \tabularnewline
0.07 & 2443.76801397292 & 151.418903312491 \tabularnewline
0.08 & 2500.27653614287 & 158.24870796821 \tabularnewline
0.09 & 2555.96009201712 & 159.423669333482 \tabularnewline
0.1 & 2609.22782269953 & 155.877307020186 \tabularnewline
0.11 & 2658.9476534721 & 148.634946045985 \tabularnewline
0.12 & 2704.43888698961 & 138.816765660799 \tabularnewline
0.13 & 2745.42198142031 & 127.661591602768 \tabularnewline
0.14 & 2781.95957658703 & 116.374938199786 \tabularnewline
0.15 & 2814.38587732936 & 105.991226819900 \tabularnewline
0.16 & 2843.22218747482 & 97.215993775738 \tabularnewline
0.17 & 2869.08691231155 & 90.3974381921085 \tabularnewline
0.18 & 2892.61372527634 & 85.5567313428445 \tabularnewline
0.19 & 2914.38924895899 & 82.4854257533077 \tabularnewline
0.2 & 2934.91517711995 & 80.8594537277928 \tabularnewline
0.21 & 2954.59350622114 & 80.3184714219647 \tabularnewline
0.22 & 2973.72963856780 & 80.5381994118133 \tabularnewline
0.23 & 2992.54666808115 & 81.2718346396675 \tabularnewline
0.24 & 3011.20432489098 & 82.3635366787047 \tabularnewline
0.25 & 3029.81707512526 & 83.7253010830591 \tabularnewline
0.26 & 3048.46741897411 & 85.3169916699574 \tabularnewline
0.27 & 3067.21241626118 & 87.0751764612721 \tabularnewline
0.28 & 3086.0837129326 & 88.90512474042 \tabularnewline
0.29 & 3105.08341404966 & 90.6364192321335 \tabularnewline
0.3 & 3124.17948550311 & 92.0606495411728 \tabularnewline
0.31 & 3143.30453652703 & 92.9594720279015 \tabularnewline
0.32 & 3162.3607658989 & 93.1620152581705 \tabularnewline
0.33 & 3181.23188874078 & 92.5893254742137 \tabularnewline
0.34 & 3199.80062456154 & 91.2906350079426 \tabularnewline
0.35 & 3217.96849691865 & 89.4185142376797 \tabularnewline
0.36 & 3235.67377305064 & 87.256592299875 \tabularnewline
0.37 & 3252.90355718038 & 85.1263453408782 \tabularnewline
0.38 & 3269.69723043623 & 83.3552442788658 \tabularnewline
0.39 & 3286.14025891582 & 82.207195835928 \tabularnewline
0.4 & 3302.34941442414 & 81.8367882686541 \tabularnewline
0.41 & 3318.45221925104 & 82.235424881607 \tabularnewline
0.42 & 3334.56457619017 & 83.2392146217544 \tabularnewline
0.43 & 3350.77086064218 & 84.5774169749621 \tabularnewline
0.44 & 3367.11018772339 & 85.9195116557772 \tabularnewline
0.45 & 3383.57125561081 & 86.9394021519619 \tabularnewline
0.46 & 3400.09639416218 & 87.3755234322423 \tabularnewline
0.47 & 3416.5936037126 & 87.083686819297 \tabularnewline
0.48 & 3432.95385858769 & 86.0331821526855 \tabularnewline
0.49 & 3449.0700986059 & 84.3182403453876 \tabularnewline
0.5 & 3464.8543013832 & 82.1193262802408 \tabularnewline
0.51 & 3480.24977631881 & 79.6739851935006 \tabularnewline
0.52 & 3495.23711970986 & 77.2310320939355 \tabularnewline
0.53 & 3509.83377732335 & 75.0060774297042 \tabularnewline
0.54 & 3524.0885190097 & 73.1458302402736 \tabularnewline
0.55 & 3538.07306012756 & 71.7492434325969 \tabularnewline
0.56 & 3551.87342017413 & 70.8413884384652 \tabularnewline
0.57 & 3565.58338324673 & 70.4043554020434 \tabularnewline
0.58 & 3579.30171789254 & 70.4335321416921 \tabularnewline
0.59 & 3593.13378441291 & 70.9260320643829 \tabularnewline
0.6 & 3607.19698550785 & 71.9392709180876 \tabularnewline
0.61 & 3621.62838780536 & 73.5974530280528 \tabularnewline
0.62 & 3636.59195522894 & 76.0556943754849 \tabularnewline
0.63 & 3652.28240175552 & 79.522789357277 \tabularnewline
0.64 & 3668.92289104866 & 84.1612941750235 \tabularnewline
0.65 & 3686.75480885714 & 90.0527680582926 \tabularnewline
0.66 & 3706.01957140362 & 97.1394963846222 \tabularnewline
0.67 & 3726.93462820901 & 105.195974953336 \tabularnewline
0.68 & 3749.66793624935 & 113.837152359278 \tabularnewline
0.69 & 3774.3165294581 & 122.578483792972 \tabularnewline
0.7 & 3800.89473314684 & 130.905222773152 \tabularnewline
0.71 & 3829.33573876704 & 138.364552732886 \tabularnewline
0.72 & 3859.50687150012 & 144.662597233296 \tabularnewline
0.73 & 3891.23480476505 & 149.678224887698 \tabularnewline
0.74 & 3924.33356020982 & 153.487912029752 \tabularnewline
0.75 & 3958.62685916768 & 156.287185820801 \tabularnewline
0.76 & 3993.95831730047 & 158.300531883446 \tabularnewline
0.77 & 4030.18819025132 & 159.650572839355 \tabularnewline
0.78 & 4067.18269019644 & 160.339614749199 \tabularnewline
0.79 & 4104.80888063000 & 160.229799971469 \tabularnewline
0.8 & 4142.95167467655 & 159.213105966532 \tabularnewline
0.81 & 4181.56651540517 & 157.397373595032 \tabularnewline
0.82 & 4220.77015803784 & 155.343114098387 \tabularnewline
0.83 & 4260.95328380469 & 154.201682202798 \tabularnewline
0.84 & 4302.87667329022 & 155.687185378243 \tabularnewline
0.85 & 4347.69581080433 & 161.655140317292 \tabularnewline
0.86 & 4396.85917911661 & 173.301357750272 \tabularnewline
0.87 & 4451.85551520646 & 190.237712842067 \tabularnewline
0.88 & 4513.85024313868 & 210.090461578088 \tabularnewline
0.89 & 4583.33898856423 & 228.962730287422 \tabularnewline
0.9 & 4660.01816229482 & 242.687528481764 \tabularnewline
0.91 & 4743.06623693385 & 248.631770328168 \tabularnewline
0.92 & 4831.87861245453 & 247.483452163752 \tabularnewline
0.93 & 4926.98379011791 & 244.027239080493 \tabularnewline
0.94 & 5030.49273179472 & 245.193775624485 \tabularnewline
0.95 & 5145.29609834451 & 253.878794681564 \tabularnewline
0.96 & 5272.72522250307 & 262.017502459467 \tabularnewline
0.97 & 5409.47503734641 & 252.414125434097 \tabularnewline
0.98 & 5544.98524087846 & 213.649453609252 \tabularnewline
0.99 & 5659.34340435304 & 161.904476230116 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74059&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]2118.49605406776[/C][C]108.707310145208[/C][/ROW]
[ROW][C]0.02[/C][C]2178.25509571769[/C][C]83.9894875783848[/C][/ROW]
[ROW][C]0.03[/C][C]2234.41730377426[/C][C]81.2561155215108[/C][/ROW]
[ROW][C]0.04[/C][C]2285.20372242756[/C][C]97.4765607714408[/C][/ROW]
[ROW][C]0.05[/C][C]2335.47755877167[/C][C]119.238772431721[/C][/ROW]
[ROW][C]0.06[/C][C]2388.31538407263[/C][C]138.272958166516[/C][/ROW]
[ROW][C]0.07[/C][C]2443.76801397292[/C][C]151.418903312491[/C][/ROW]
[ROW][C]0.08[/C][C]2500.27653614287[/C][C]158.24870796821[/C][/ROW]
[ROW][C]0.09[/C][C]2555.96009201712[/C][C]159.423669333482[/C][/ROW]
[ROW][C]0.1[/C][C]2609.22782269953[/C][C]155.877307020186[/C][/ROW]
[ROW][C]0.11[/C][C]2658.9476534721[/C][C]148.634946045985[/C][/ROW]
[ROW][C]0.12[/C][C]2704.43888698961[/C][C]138.816765660799[/C][/ROW]
[ROW][C]0.13[/C][C]2745.42198142031[/C][C]127.661591602768[/C][/ROW]
[ROW][C]0.14[/C][C]2781.95957658703[/C][C]116.374938199786[/C][/ROW]
[ROW][C]0.15[/C][C]2814.38587732936[/C][C]105.991226819900[/C][/ROW]
[ROW][C]0.16[/C][C]2843.22218747482[/C][C]97.215993775738[/C][/ROW]
[ROW][C]0.17[/C][C]2869.08691231155[/C][C]90.3974381921085[/C][/ROW]
[ROW][C]0.18[/C][C]2892.61372527634[/C][C]85.5567313428445[/C][/ROW]
[ROW][C]0.19[/C][C]2914.38924895899[/C][C]82.4854257533077[/C][/ROW]
[ROW][C]0.2[/C][C]2934.91517711995[/C][C]80.8594537277928[/C][/ROW]
[ROW][C]0.21[/C][C]2954.59350622114[/C][C]80.3184714219647[/C][/ROW]
[ROW][C]0.22[/C][C]2973.72963856780[/C][C]80.5381994118133[/C][/ROW]
[ROW][C]0.23[/C][C]2992.54666808115[/C][C]81.2718346396675[/C][/ROW]
[ROW][C]0.24[/C][C]3011.20432489098[/C][C]82.3635366787047[/C][/ROW]
[ROW][C]0.25[/C][C]3029.81707512526[/C][C]83.7253010830591[/C][/ROW]
[ROW][C]0.26[/C][C]3048.46741897411[/C][C]85.3169916699574[/C][/ROW]
[ROW][C]0.27[/C][C]3067.21241626118[/C][C]87.0751764612721[/C][/ROW]
[ROW][C]0.28[/C][C]3086.0837129326[/C][C]88.90512474042[/C][/ROW]
[ROW][C]0.29[/C][C]3105.08341404966[/C][C]90.6364192321335[/C][/ROW]
[ROW][C]0.3[/C][C]3124.17948550311[/C][C]92.0606495411728[/C][/ROW]
[ROW][C]0.31[/C][C]3143.30453652703[/C][C]92.9594720279015[/C][/ROW]
[ROW][C]0.32[/C][C]3162.3607658989[/C][C]93.1620152581705[/C][/ROW]
[ROW][C]0.33[/C][C]3181.23188874078[/C][C]92.5893254742137[/C][/ROW]
[ROW][C]0.34[/C][C]3199.80062456154[/C][C]91.2906350079426[/C][/ROW]
[ROW][C]0.35[/C][C]3217.96849691865[/C][C]89.4185142376797[/C][/ROW]
[ROW][C]0.36[/C][C]3235.67377305064[/C][C]87.256592299875[/C][/ROW]
[ROW][C]0.37[/C][C]3252.90355718038[/C][C]85.1263453408782[/C][/ROW]
[ROW][C]0.38[/C][C]3269.69723043623[/C][C]83.3552442788658[/C][/ROW]
[ROW][C]0.39[/C][C]3286.14025891582[/C][C]82.207195835928[/C][/ROW]
[ROW][C]0.4[/C][C]3302.34941442414[/C][C]81.8367882686541[/C][/ROW]
[ROW][C]0.41[/C][C]3318.45221925104[/C][C]82.235424881607[/C][/ROW]
[ROW][C]0.42[/C][C]3334.56457619017[/C][C]83.2392146217544[/C][/ROW]
[ROW][C]0.43[/C][C]3350.77086064218[/C][C]84.5774169749621[/C][/ROW]
[ROW][C]0.44[/C][C]3367.11018772339[/C][C]85.9195116557772[/C][/ROW]
[ROW][C]0.45[/C][C]3383.57125561081[/C][C]86.9394021519619[/C][/ROW]
[ROW][C]0.46[/C][C]3400.09639416218[/C][C]87.3755234322423[/C][/ROW]
[ROW][C]0.47[/C][C]3416.5936037126[/C][C]87.083686819297[/C][/ROW]
[ROW][C]0.48[/C][C]3432.95385858769[/C][C]86.0331821526855[/C][/ROW]
[ROW][C]0.49[/C][C]3449.0700986059[/C][C]84.3182403453876[/C][/ROW]
[ROW][C]0.5[/C][C]3464.8543013832[/C][C]82.1193262802408[/C][/ROW]
[ROW][C]0.51[/C][C]3480.24977631881[/C][C]79.6739851935006[/C][/ROW]
[ROW][C]0.52[/C][C]3495.23711970986[/C][C]77.2310320939355[/C][/ROW]
[ROW][C]0.53[/C][C]3509.83377732335[/C][C]75.0060774297042[/C][/ROW]
[ROW][C]0.54[/C][C]3524.0885190097[/C][C]73.1458302402736[/C][/ROW]
[ROW][C]0.55[/C][C]3538.07306012756[/C][C]71.7492434325969[/C][/ROW]
[ROW][C]0.56[/C][C]3551.87342017413[/C][C]70.8413884384652[/C][/ROW]
[ROW][C]0.57[/C][C]3565.58338324673[/C][C]70.4043554020434[/C][/ROW]
[ROW][C]0.58[/C][C]3579.30171789254[/C][C]70.4335321416921[/C][/ROW]
[ROW][C]0.59[/C][C]3593.13378441291[/C][C]70.9260320643829[/C][/ROW]
[ROW][C]0.6[/C][C]3607.19698550785[/C][C]71.9392709180876[/C][/ROW]
[ROW][C]0.61[/C][C]3621.62838780536[/C][C]73.5974530280528[/C][/ROW]
[ROW][C]0.62[/C][C]3636.59195522894[/C][C]76.0556943754849[/C][/ROW]
[ROW][C]0.63[/C][C]3652.28240175552[/C][C]79.522789357277[/C][/ROW]
[ROW][C]0.64[/C][C]3668.92289104866[/C][C]84.1612941750235[/C][/ROW]
[ROW][C]0.65[/C][C]3686.75480885714[/C][C]90.0527680582926[/C][/ROW]
[ROW][C]0.66[/C][C]3706.01957140362[/C][C]97.1394963846222[/C][/ROW]
[ROW][C]0.67[/C][C]3726.93462820901[/C][C]105.195974953336[/C][/ROW]
[ROW][C]0.68[/C][C]3749.66793624935[/C][C]113.837152359278[/C][/ROW]
[ROW][C]0.69[/C][C]3774.3165294581[/C][C]122.578483792972[/C][/ROW]
[ROW][C]0.7[/C][C]3800.89473314684[/C][C]130.905222773152[/C][/ROW]
[ROW][C]0.71[/C][C]3829.33573876704[/C][C]138.364552732886[/C][/ROW]
[ROW][C]0.72[/C][C]3859.50687150012[/C][C]144.662597233296[/C][/ROW]
[ROW][C]0.73[/C][C]3891.23480476505[/C][C]149.678224887698[/C][/ROW]
[ROW][C]0.74[/C][C]3924.33356020982[/C][C]153.487912029752[/C][/ROW]
[ROW][C]0.75[/C][C]3958.62685916768[/C][C]156.287185820801[/C][/ROW]
[ROW][C]0.76[/C][C]3993.95831730047[/C][C]158.300531883446[/C][/ROW]
[ROW][C]0.77[/C][C]4030.18819025132[/C][C]159.650572839355[/C][/ROW]
[ROW][C]0.78[/C][C]4067.18269019644[/C][C]160.339614749199[/C][/ROW]
[ROW][C]0.79[/C][C]4104.80888063000[/C][C]160.229799971469[/C][/ROW]
[ROW][C]0.8[/C][C]4142.95167467655[/C][C]159.213105966532[/C][/ROW]
[ROW][C]0.81[/C][C]4181.56651540517[/C][C]157.397373595032[/C][/ROW]
[ROW][C]0.82[/C][C]4220.77015803784[/C][C]155.343114098387[/C][/ROW]
[ROW][C]0.83[/C][C]4260.95328380469[/C][C]154.201682202798[/C][/ROW]
[ROW][C]0.84[/C][C]4302.87667329022[/C][C]155.687185378243[/C][/ROW]
[ROW][C]0.85[/C][C]4347.69581080433[/C][C]161.655140317292[/C][/ROW]
[ROW][C]0.86[/C][C]4396.85917911661[/C][C]173.301357750272[/C][/ROW]
[ROW][C]0.87[/C][C]4451.85551520646[/C][C]190.237712842067[/C][/ROW]
[ROW][C]0.88[/C][C]4513.85024313868[/C][C]210.090461578088[/C][/ROW]
[ROW][C]0.89[/C][C]4583.33898856423[/C][C]228.962730287422[/C][/ROW]
[ROW][C]0.9[/C][C]4660.01816229482[/C][C]242.687528481764[/C][/ROW]
[ROW][C]0.91[/C][C]4743.06623693385[/C][C]248.631770328168[/C][/ROW]
[ROW][C]0.92[/C][C]4831.87861245453[/C][C]247.483452163752[/C][/ROW]
[ROW][C]0.93[/C][C]4926.98379011791[/C][C]244.027239080493[/C][/ROW]
[ROW][C]0.94[/C][C]5030.49273179472[/C][C]245.193775624485[/C][/ROW]
[ROW][C]0.95[/C][C]5145.29609834451[/C][C]253.878794681564[/C][/ROW]
[ROW][C]0.96[/C][C]5272.72522250307[/C][C]262.017502459467[/C][/ROW]
[ROW][C]0.97[/C][C]5409.47503734641[/C][C]252.414125434097[/C][/ROW]
[ROW][C]0.98[/C][C]5544.98524087846[/C][C]213.649453609252[/C][/ROW]
[ROW][C]0.99[/C][C]5659.34340435304[/C][C]161.904476230116[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74059&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
0.012118.49605406776108.707310145208
0.022178.2550957176983.9894875783848
0.032234.4173037742681.2561155215108
0.042285.2037224275697.4765607714408
0.052335.47755877167119.238772431721
0.062388.31538407263138.272958166516
0.072443.76801397292151.418903312491
0.082500.27653614287158.24870796821
0.092555.96009201712159.423669333482
0.12609.22782269953155.877307020186
0.112658.9476534721148.634946045985
0.122704.43888698961138.816765660799
0.132745.42198142031127.661591602768
0.142781.95957658703116.374938199786
0.152814.38587732936105.991226819900
0.162843.2221874748297.215993775738
0.172869.0869123115590.3974381921085
0.182892.6137252763485.5567313428445
0.192914.3892489589982.4854257533077
0.22934.9151771199580.8594537277928
0.212954.5935062211480.3184714219647
0.222973.7296385678080.5381994118133
0.232992.5466680811581.2718346396675
0.243011.2043248909882.3635366787047
0.253029.8170751252683.7253010830591
0.263048.4674189741185.3169916699574
0.273067.2124162611887.0751764612721
0.283086.083712932688.90512474042
0.293105.0834140496690.6364192321335
0.33124.1794855031192.0606495411728
0.313143.3045365270392.9594720279015
0.323162.360765898993.1620152581705
0.333181.2318887407892.5893254742137
0.343199.8006245615491.2906350079426
0.353217.9684969186589.4185142376797
0.363235.6737730506487.256592299875
0.373252.9035571803885.1263453408782
0.383269.6972304362383.3552442788658
0.393286.1402589158282.207195835928
0.43302.3494144241481.8367882686541
0.413318.4522192510482.235424881607
0.423334.5645761901783.2392146217544
0.433350.7708606421884.5774169749621
0.443367.1101877233985.9195116557772
0.453383.5712556108186.9394021519619
0.463400.0963941621887.3755234322423
0.473416.593603712687.083686819297
0.483432.9538585876986.0331821526855
0.493449.070098605984.3182403453876
0.53464.854301383282.1193262802408
0.513480.2497763188179.6739851935006
0.523495.2371197098677.2310320939355
0.533509.8337773233575.0060774297042
0.543524.088519009773.1458302402736
0.553538.0730601275671.7492434325969
0.563551.8734201741370.8413884384652
0.573565.5833832467370.4043554020434
0.583579.3017178925470.4335321416921
0.593593.1337844129170.9260320643829
0.63607.1969855078571.9392709180876
0.613621.6283878053673.5974530280528
0.623636.5919552289476.0556943754849
0.633652.2824017555279.522789357277
0.643668.9228910486684.1612941750235
0.653686.7548088571490.0527680582926
0.663706.0195714036297.1394963846222
0.673726.93462820901105.195974953336
0.683749.66793624935113.837152359278
0.693774.3165294581122.578483792972
0.73800.89473314684130.905222773152
0.713829.33573876704138.364552732886
0.723859.50687150012144.662597233296
0.733891.23480476505149.678224887698
0.743924.33356020982153.487912029752
0.753958.62685916768156.287185820801
0.763993.95831730047158.300531883446
0.774030.18819025132159.650572839355
0.784067.18269019644160.339614749199
0.794104.80888063000160.229799971469
0.84142.95167467655159.213105966532
0.814181.56651540517157.397373595032
0.824220.77015803784155.343114098387
0.834260.95328380469154.201682202798
0.844302.87667329022155.687185378243
0.854347.69581080433161.655140317292
0.864396.85917911661173.301357750272
0.874451.85551520646190.237712842067
0.884513.85024313868210.090461578088
0.894583.33898856423228.962730287422
0.94660.01816229482242.687528481764
0.914743.06623693385248.631770328168
0.924831.87861245453247.483452163752
0.934926.98379011791244.027239080493
0.945030.49273179472245.193775624485
0.955145.29609834451253.878794681564
0.965272.72522250307262.017502459467
0.975409.47503734641252.414125434097
0.985544.98524087846213.649453609252
0.995659.34340435304161.904476230116



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')