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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 computationMon, 09 Mar 2009 03:23:26 -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/Mar/09/t1236590651hcbgt81shqg7f0e.htm/, Retrieved Sun, 28 Apr 2024 20:05:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38749, Retrieved Sun, 28 Apr 2024 20:05:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

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] [harrel Davis perc...] [2009-03-09 09:23:26] [9b390e7dd0294bf85b2ea0a7a8aab10a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11025.1
10853.8
12252.6
11839.4
11669.1
11601.4
11178.4
9516.4
12102.8
12989
11610.2
10205.5
11356.2
11307.1
12648.6
11947.2
11714.1
12192.5
11268.8
9097.4
12639.8
13040.1
11687.3
11191.7
11391.9
11793.1
13933.2
12778.1
11810.3
13698.4
11956.6
10723.8
13938.9
13979.8
13807.4
12973.9
12509.8
12934.1
14908.3
13772.1
13012.6
14049.9
11816.5
11593.2
14466.2
13615.9
14733.9
13880.7
13527.5
13584
16170.2
13260.6
14741.9
15486.5
13154.5
12621.2
15031.6
15452.4
15428
13105.9
14716.8
14180
16202.2
14392.4
15140.6
15960.1
14351.3
13230.2
15202.1
17056
16077.7
13348.2
16707.5
16792.6
16831.3
17804.5
16370.2
17602.5
17065.6
14427.9
17818.5
18027.6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38749&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38749&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38749&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019306.03971742215491.263725962752
0.029650.30721982348586.148318513603
0.0310019.1978324316593.260367665703
0.0410344.9997822259521.095434866264
0.0510604.7097817972423.434504052412
0.0610801.0830764690336.324232815423
0.0710947.2785468481271.051763788559
0.0811057.7228190454226.009470889292
0.0911144.2366526790196.856851291244
0.111215.3635143462179.993862875577
0.1111276.9135750201172.20243076665
0.1211332.6368383436169.913741709491
0.1311384.7389906396169.664439784401
0.1411434.2950429683168.831637495581
0.1511481.6393320546166.063007029599
0.1611526.7380519048161.326231229795
0.1711569.5028652084155.546226711813
0.1811610.0048296469150.142302040597
0.1911648.5762265023146.627769631057
0.211685.8177427714146.300307112456
0.2111722.5444732204150.013991164485
0.2211759.7039186075158.213678342387
0.2311798.2885946533170.970507128543
0.2411839.2534761113187.962041348606
0.2511883.4403974258208.526438280107
0.2611931.5095546675231.655820423023
0.2711983.8806330314256.059849185128
0.2812040.6894876736280.236619989501
0.2912101.7678587464302.677066428477
0.312166.6520263769321.940393349084
0.3112234.6220355185336.927030729293
0.3212304.7676841023346.829065467555
0.3312376.0726893364351.372955529913
0.3412447.5057110455350.710684312512
0.3512518.1067689239345.408151450741
0.3612587.0597171072336.335621603638
0.3712653.7448852256324.579966037457
0.3812717.7696077600311.325316970431
0.3912778.9772149583297.747612562067
0.412837.4367269526284.985177199697
0.4112893.4161107709274.007452400555
0.4212947.3420372313265.594834668455
0.4312999.7491931726260.24533704997
0.4413051.2227297896258.140364973029
0.4513102.3383566249259.047583651239
0.4613153.6055806207262.458543669207
0.4713205.4201346877267.529063208933
0.4813258.0312999118273.323015902080
0.4913311.5284071554278.88018150215
0.513365.8484359984283.418612733786
0.5113420.803715149286.2653791059
0.5213476.1258173075287.175286090030
0.5313531.5193721009286.136145347572
0.5413586.7180974438283.498536555732
0.5513641.5350783363279.859135264268
0.5613695.9002103298275.999632521169
0.5713749.8796240403272.728055045116
0.5813803.6745621251270.823186440057
0.5913857.6002606104270.900032074459
0.613912.0484937934273.266503583103
0.6113967.440113666277.888342825832
0.6214024.1756600036284.458140547683
0.6314082.5925075117292.418266957509
0.6414142.9358227724301.075421190843
0.6514205.3479306043309.797769954064
0.6614269.8770342907318.065529740789
0.6714336.5024172826325.560999171332
0.6814405.1702132844332.223787016315
0.6914475.8323382194338.204128122769
0.714548.4815694164343.772807749281
0.7114623.1777867865349.340362255327
0.7214700.0632473468355.281371072442
0.7314779.3672910767361.947288090173
0.7414861.4019600854369.659079567935
0.7514946.5490945393378.596786346891
0.7615035.2370292081388.906772934188
0.7715127.9027842584400.528950363393
0.7815224.9361779916413.189438552715
0.7915326.6076797356426.248320563204
0.815432.9918034079438.636929439586
0.8115543.9083287964448.99619174422
0.8215658.9072908256455.85357687831
0.8315777.3136981329458.178721347088
0.8415898.3242598364455.597975321127
0.8516021.1224777919448.592322131417
0.8616144.9711664768438.094163529967
0.8716269.2705787397425.005138689543
0.8816393.6312211510409.771424632304
0.8916518.0617581377392.85831997319
0.916643.342110657375.86189779242
0.9116771.4754432905362.624398069258
0.9216905.8062073295358.620836653662
0.9317050.1454309315366.731202501832
0.9417206.4742747017380.451970161362
0.9517371.9625649841381.386329810511
0.9617537.9256352663348.12271189173
0.9717693.7535260593275.930794623270
0.9817833.4768233371197.727479389529
0.9917952.2468327853177.442990956064

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9306.03971742215 & 491.263725962752 \tabularnewline
0.02 & 9650.30721982348 & 586.148318513603 \tabularnewline
0.03 & 10019.1978324316 & 593.260367665703 \tabularnewline
0.04 & 10344.9997822259 & 521.095434866264 \tabularnewline
0.05 & 10604.7097817972 & 423.434504052412 \tabularnewline
0.06 & 10801.0830764690 & 336.324232815423 \tabularnewline
0.07 & 10947.2785468481 & 271.051763788559 \tabularnewline
0.08 & 11057.7228190454 & 226.009470889292 \tabularnewline
0.09 & 11144.2366526790 & 196.856851291244 \tabularnewline
0.1 & 11215.3635143462 & 179.993862875577 \tabularnewline
0.11 & 11276.9135750201 & 172.20243076665 \tabularnewline
0.12 & 11332.6368383436 & 169.913741709491 \tabularnewline
0.13 & 11384.7389906396 & 169.664439784401 \tabularnewline
0.14 & 11434.2950429683 & 168.831637495581 \tabularnewline
0.15 & 11481.6393320546 & 166.063007029599 \tabularnewline
0.16 & 11526.7380519048 & 161.326231229795 \tabularnewline
0.17 & 11569.5028652084 & 155.546226711813 \tabularnewline
0.18 & 11610.0048296469 & 150.142302040597 \tabularnewline
0.19 & 11648.5762265023 & 146.627769631057 \tabularnewline
0.2 & 11685.8177427714 & 146.300307112456 \tabularnewline
0.21 & 11722.5444732204 & 150.013991164485 \tabularnewline
0.22 & 11759.7039186075 & 158.213678342387 \tabularnewline
0.23 & 11798.2885946533 & 170.970507128543 \tabularnewline
0.24 & 11839.2534761113 & 187.962041348606 \tabularnewline
0.25 & 11883.4403974258 & 208.526438280107 \tabularnewline
0.26 & 11931.5095546675 & 231.655820423023 \tabularnewline
0.27 & 11983.8806330314 & 256.059849185128 \tabularnewline
0.28 & 12040.6894876736 & 280.236619989501 \tabularnewline
0.29 & 12101.7678587464 & 302.677066428477 \tabularnewline
0.3 & 12166.6520263769 & 321.940393349084 \tabularnewline
0.31 & 12234.6220355185 & 336.927030729293 \tabularnewline
0.32 & 12304.7676841023 & 346.829065467555 \tabularnewline
0.33 & 12376.0726893364 & 351.372955529913 \tabularnewline
0.34 & 12447.5057110455 & 350.710684312512 \tabularnewline
0.35 & 12518.1067689239 & 345.408151450741 \tabularnewline
0.36 & 12587.0597171072 & 336.335621603638 \tabularnewline
0.37 & 12653.7448852256 & 324.579966037457 \tabularnewline
0.38 & 12717.7696077600 & 311.325316970431 \tabularnewline
0.39 & 12778.9772149583 & 297.747612562067 \tabularnewline
0.4 & 12837.4367269526 & 284.985177199697 \tabularnewline
0.41 & 12893.4161107709 & 274.007452400555 \tabularnewline
0.42 & 12947.3420372313 & 265.594834668455 \tabularnewline
0.43 & 12999.7491931726 & 260.24533704997 \tabularnewline
0.44 & 13051.2227297896 & 258.140364973029 \tabularnewline
0.45 & 13102.3383566249 & 259.047583651239 \tabularnewline
0.46 & 13153.6055806207 & 262.458543669207 \tabularnewline
0.47 & 13205.4201346877 & 267.529063208933 \tabularnewline
0.48 & 13258.0312999118 & 273.323015902080 \tabularnewline
0.49 & 13311.5284071554 & 278.88018150215 \tabularnewline
0.5 & 13365.8484359984 & 283.418612733786 \tabularnewline
0.51 & 13420.803715149 & 286.2653791059 \tabularnewline
0.52 & 13476.1258173075 & 287.175286090030 \tabularnewline
0.53 & 13531.5193721009 & 286.136145347572 \tabularnewline
0.54 & 13586.7180974438 & 283.498536555732 \tabularnewline
0.55 & 13641.5350783363 & 279.859135264268 \tabularnewline
0.56 & 13695.9002103298 & 275.999632521169 \tabularnewline
0.57 & 13749.8796240403 & 272.728055045116 \tabularnewline
0.58 & 13803.6745621251 & 270.823186440057 \tabularnewline
0.59 & 13857.6002606104 & 270.900032074459 \tabularnewline
0.6 & 13912.0484937934 & 273.266503583103 \tabularnewline
0.61 & 13967.440113666 & 277.888342825832 \tabularnewline
0.62 & 14024.1756600036 & 284.458140547683 \tabularnewline
0.63 & 14082.5925075117 & 292.418266957509 \tabularnewline
0.64 & 14142.9358227724 & 301.075421190843 \tabularnewline
0.65 & 14205.3479306043 & 309.797769954064 \tabularnewline
0.66 & 14269.8770342907 & 318.065529740789 \tabularnewline
0.67 & 14336.5024172826 & 325.560999171332 \tabularnewline
0.68 & 14405.1702132844 & 332.223787016315 \tabularnewline
0.69 & 14475.8323382194 & 338.204128122769 \tabularnewline
0.7 & 14548.4815694164 & 343.772807749281 \tabularnewline
0.71 & 14623.1777867865 & 349.340362255327 \tabularnewline
0.72 & 14700.0632473468 & 355.281371072442 \tabularnewline
0.73 & 14779.3672910767 & 361.947288090173 \tabularnewline
0.74 & 14861.4019600854 & 369.659079567935 \tabularnewline
0.75 & 14946.5490945393 & 378.596786346891 \tabularnewline
0.76 & 15035.2370292081 & 388.906772934188 \tabularnewline
0.77 & 15127.9027842584 & 400.528950363393 \tabularnewline
0.78 & 15224.9361779916 & 413.189438552715 \tabularnewline
0.79 & 15326.6076797356 & 426.248320563204 \tabularnewline
0.8 & 15432.9918034079 & 438.636929439586 \tabularnewline
0.81 & 15543.9083287964 & 448.99619174422 \tabularnewline
0.82 & 15658.9072908256 & 455.85357687831 \tabularnewline
0.83 & 15777.3136981329 & 458.178721347088 \tabularnewline
0.84 & 15898.3242598364 & 455.597975321127 \tabularnewline
0.85 & 16021.1224777919 & 448.592322131417 \tabularnewline
0.86 & 16144.9711664768 & 438.094163529967 \tabularnewline
0.87 & 16269.2705787397 & 425.005138689543 \tabularnewline
0.88 & 16393.6312211510 & 409.771424632304 \tabularnewline
0.89 & 16518.0617581377 & 392.85831997319 \tabularnewline
0.9 & 16643.342110657 & 375.86189779242 \tabularnewline
0.91 & 16771.4754432905 & 362.624398069258 \tabularnewline
0.92 & 16905.8062073295 & 358.620836653662 \tabularnewline
0.93 & 17050.1454309315 & 366.731202501832 \tabularnewline
0.94 & 17206.4742747017 & 380.451970161362 \tabularnewline
0.95 & 17371.9625649841 & 381.386329810511 \tabularnewline
0.96 & 17537.9256352663 & 348.12271189173 \tabularnewline
0.97 & 17693.7535260593 & 275.930794623270 \tabularnewline
0.98 & 17833.4768233371 & 197.727479389529 \tabularnewline
0.99 & 17952.2468327853 & 177.442990956064 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38749&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]9306.03971742215[/C][C]491.263725962752[/C][/ROW]
[ROW][C]0.02[/C][C]9650.30721982348[/C][C]586.148318513603[/C][/ROW]
[ROW][C]0.03[/C][C]10019.1978324316[/C][C]593.260367665703[/C][/ROW]
[ROW][C]0.04[/C][C]10344.9997822259[/C][C]521.095434866264[/C][/ROW]
[ROW][C]0.05[/C][C]10604.7097817972[/C][C]423.434504052412[/C][/ROW]
[ROW][C]0.06[/C][C]10801.0830764690[/C][C]336.324232815423[/C][/ROW]
[ROW][C]0.07[/C][C]10947.2785468481[/C][C]271.051763788559[/C][/ROW]
[ROW][C]0.08[/C][C]11057.7228190454[/C][C]226.009470889292[/C][/ROW]
[ROW][C]0.09[/C][C]11144.2366526790[/C][C]196.856851291244[/C][/ROW]
[ROW][C]0.1[/C][C]11215.3635143462[/C][C]179.993862875577[/C][/ROW]
[ROW][C]0.11[/C][C]11276.9135750201[/C][C]172.20243076665[/C][/ROW]
[ROW][C]0.12[/C][C]11332.6368383436[/C][C]169.913741709491[/C][/ROW]
[ROW][C]0.13[/C][C]11384.7389906396[/C][C]169.664439784401[/C][/ROW]
[ROW][C]0.14[/C][C]11434.2950429683[/C][C]168.831637495581[/C][/ROW]
[ROW][C]0.15[/C][C]11481.6393320546[/C][C]166.063007029599[/C][/ROW]
[ROW][C]0.16[/C][C]11526.7380519048[/C][C]161.326231229795[/C][/ROW]
[ROW][C]0.17[/C][C]11569.5028652084[/C][C]155.546226711813[/C][/ROW]
[ROW][C]0.18[/C][C]11610.0048296469[/C][C]150.142302040597[/C][/ROW]
[ROW][C]0.19[/C][C]11648.5762265023[/C][C]146.627769631057[/C][/ROW]
[ROW][C]0.2[/C][C]11685.8177427714[/C][C]146.300307112456[/C][/ROW]
[ROW][C]0.21[/C][C]11722.5444732204[/C][C]150.013991164485[/C][/ROW]
[ROW][C]0.22[/C][C]11759.7039186075[/C][C]158.213678342387[/C][/ROW]
[ROW][C]0.23[/C][C]11798.2885946533[/C][C]170.970507128543[/C][/ROW]
[ROW][C]0.24[/C][C]11839.2534761113[/C][C]187.962041348606[/C][/ROW]
[ROW][C]0.25[/C][C]11883.4403974258[/C][C]208.526438280107[/C][/ROW]
[ROW][C]0.26[/C][C]11931.5095546675[/C][C]231.655820423023[/C][/ROW]
[ROW][C]0.27[/C][C]11983.8806330314[/C][C]256.059849185128[/C][/ROW]
[ROW][C]0.28[/C][C]12040.6894876736[/C][C]280.236619989501[/C][/ROW]
[ROW][C]0.29[/C][C]12101.7678587464[/C][C]302.677066428477[/C][/ROW]
[ROW][C]0.3[/C][C]12166.6520263769[/C][C]321.940393349084[/C][/ROW]
[ROW][C]0.31[/C][C]12234.6220355185[/C][C]336.927030729293[/C][/ROW]
[ROW][C]0.32[/C][C]12304.7676841023[/C][C]346.829065467555[/C][/ROW]
[ROW][C]0.33[/C][C]12376.0726893364[/C][C]351.372955529913[/C][/ROW]
[ROW][C]0.34[/C][C]12447.5057110455[/C][C]350.710684312512[/C][/ROW]
[ROW][C]0.35[/C][C]12518.1067689239[/C][C]345.408151450741[/C][/ROW]
[ROW][C]0.36[/C][C]12587.0597171072[/C][C]336.335621603638[/C][/ROW]
[ROW][C]0.37[/C][C]12653.7448852256[/C][C]324.579966037457[/C][/ROW]
[ROW][C]0.38[/C][C]12717.7696077600[/C][C]311.325316970431[/C][/ROW]
[ROW][C]0.39[/C][C]12778.9772149583[/C][C]297.747612562067[/C][/ROW]
[ROW][C]0.4[/C][C]12837.4367269526[/C][C]284.985177199697[/C][/ROW]
[ROW][C]0.41[/C][C]12893.4161107709[/C][C]274.007452400555[/C][/ROW]
[ROW][C]0.42[/C][C]12947.3420372313[/C][C]265.594834668455[/C][/ROW]
[ROW][C]0.43[/C][C]12999.7491931726[/C][C]260.24533704997[/C][/ROW]
[ROW][C]0.44[/C][C]13051.2227297896[/C][C]258.140364973029[/C][/ROW]
[ROW][C]0.45[/C][C]13102.3383566249[/C][C]259.047583651239[/C][/ROW]
[ROW][C]0.46[/C][C]13153.6055806207[/C][C]262.458543669207[/C][/ROW]
[ROW][C]0.47[/C][C]13205.4201346877[/C][C]267.529063208933[/C][/ROW]
[ROW][C]0.48[/C][C]13258.0312999118[/C][C]273.323015902080[/C][/ROW]
[ROW][C]0.49[/C][C]13311.5284071554[/C][C]278.88018150215[/C][/ROW]
[ROW][C]0.5[/C][C]13365.8484359984[/C][C]283.418612733786[/C][/ROW]
[ROW][C]0.51[/C][C]13420.803715149[/C][C]286.2653791059[/C][/ROW]
[ROW][C]0.52[/C][C]13476.1258173075[/C][C]287.175286090030[/C][/ROW]
[ROW][C]0.53[/C][C]13531.5193721009[/C][C]286.136145347572[/C][/ROW]
[ROW][C]0.54[/C][C]13586.7180974438[/C][C]283.498536555732[/C][/ROW]
[ROW][C]0.55[/C][C]13641.5350783363[/C][C]279.859135264268[/C][/ROW]
[ROW][C]0.56[/C][C]13695.9002103298[/C][C]275.999632521169[/C][/ROW]
[ROW][C]0.57[/C][C]13749.8796240403[/C][C]272.728055045116[/C][/ROW]
[ROW][C]0.58[/C][C]13803.6745621251[/C][C]270.823186440057[/C][/ROW]
[ROW][C]0.59[/C][C]13857.6002606104[/C][C]270.900032074459[/C][/ROW]
[ROW][C]0.6[/C][C]13912.0484937934[/C][C]273.266503583103[/C][/ROW]
[ROW][C]0.61[/C][C]13967.440113666[/C][C]277.888342825832[/C][/ROW]
[ROW][C]0.62[/C][C]14024.1756600036[/C][C]284.458140547683[/C][/ROW]
[ROW][C]0.63[/C][C]14082.5925075117[/C][C]292.418266957509[/C][/ROW]
[ROW][C]0.64[/C][C]14142.9358227724[/C][C]301.075421190843[/C][/ROW]
[ROW][C]0.65[/C][C]14205.3479306043[/C][C]309.797769954064[/C][/ROW]
[ROW][C]0.66[/C][C]14269.8770342907[/C][C]318.065529740789[/C][/ROW]
[ROW][C]0.67[/C][C]14336.5024172826[/C][C]325.560999171332[/C][/ROW]
[ROW][C]0.68[/C][C]14405.1702132844[/C][C]332.223787016315[/C][/ROW]
[ROW][C]0.69[/C][C]14475.8323382194[/C][C]338.204128122769[/C][/ROW]
[ROW][C]0.7[/C][C]14548.4815694164[/C][C]343.772807749281[/C][/ROW]
[ROW][C]0.71[/C][C]14623.1777867865[/C][C]349.340362255327[/C][/ROW]
[ROW][C]0.72[/C][C]14700.0632473468[/C][C]355.281371072442[/C][/ROW]
[ROW][C]0.73[/C][C]14779.3672910767[/C][C]361.947288090173[/C][/ROW]
[ROW][C]0.74[/C][C]14861.4019600854[/C][C]369.659079567935[/C][/ROW]
[ROW][C]0.75[/C][C]14946.5490945393[/C][C]378.596786346891[/C][/ROW]
[ROW][C]0.76[/C][C]15035.2370292081[/C][C]388.906772934188[/C][/ROW]
[ROW][C]0.77[/C][C]15127.9027842584[/C][C]400.528950363393[/C][/ROW]
[ROW][C]0.78[/C][C]15224.9361779916[/C][C]413.189438552715[/C][/ROW]
[ROW][C]0.79[/C][C]15326.6076797356[/C][C]426.248320563204[/C][/ROW]
[ROW][C]0.8[/C][C]15432.9918034079[/C][C]438.636929439586[/C][/ROW]
[ROW][C]0.81[/C][C]15543.9083287964[/C][C]448.99619174422[/C][/ROW]
[ROW][C]0.82[/C][C]15658.9072908256[/C][C]455.85357687831[/C][/ROW]
[ROW][C]0.83[/C][C]15777.3136981329[/C][C]458.178721347088[/C][/ROW]
[ROW][C]0.84[/C][C]15898.3242598364[/C][C]455.597975321127[/C][/ROW]
[ROW][C]0.85[/C][C]16021.1224777919[/C][C]448.592322131417[/C][/ROW]
[ROW][C]0.86[/C][C]16144.9711664768[/C][C]438.094163529967[/C][/ROW]
[ROW][C]0.87[/C][C]16269.2705787397[/C][C]425.005138689543[/C][/ROW]
[ROW][C]0.88[/C][C]16393.6312211510[/C][C]409.771424632304[/C][/ROW]
[ROW][C]0.89[/C][C]16518.0617581377[/C][C]392.85831997319[/C][/ROW]
[ROW][C]0.9[/C][C]16643.342110657[/C][C]375.86189779242[/C][/ROW]
[ROW][C]0.91[/C][C]16771.4754432905[/C][C]362.624398069258[/C][/ROW]
[ROW][C]0.92[/C][C]16905.8062073295[/C][C]358.620836653662[/C][/ROW]
[ROW][C]0.93[/C][C]17050.1454309315[/C][C]366.731202501832[/C][/ROW]
[ROW][C]0.94[/C][C]17206.4742747017[/C][C]380.451970161362[/C][/ROW]
[ROW][C]0.95[/C][C]17371.9625649841[/C][C]381.386329810511[/C][/ROW]
[ROW][C]0.96[/C][C]17537.9256352663[/C][C]348.12271189173[/C][/ROW]
[ROW][C]0.97[/C][C]17693.7535260593[/C][C]275.930794623270[/C][/ROW]
[ROW][C]0.98[/C][C]17833.4768233371[/C][C]197.727479389529[/C][/ROW]
[ROW][C]0.99[/C][C]17952.2468327853[/C][C]177.442990956064[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38749&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38749&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
0.019306.03971742215491.263725962752
0.029650.30721982348586.148318513603
0.0310019.1978324316593.260367665703
0.0410344.9997822259521.095434866264
0.0510604.7097817972423.434504052412
0.0610801.0830764690336.324232815423
0.0710947.2785468481271.051763788559
0.0811057.7228190454226.009470889292
0.0911144.2366526790196.856851291244
0.111215.3635143462179.993862875577
0.1111276.9135750201172.20243076665
0.1211332.6368383436169.913741709491
0.1311384.7389906396169.664439784401
0.1411434.2950429683168.831637495581
0.1511481.6393320546166.063007029599
0.1611526.7380519048161.326231229795
0.1711569.5028652084155.546226711813
0.1811610.0048296469150.142302040597
0.1911648.5762265023146.627769631057
0.211685.8177427714146.300307112456
0.2111722.5444732204150.013991164485
0.2211759.7039186075158.213678342387
0.2311798.2885946533170.970507128543
0.2411839.2534761113187.962041348606
0.2511883.4403974258208.526438280107
0.2611931.5095546675231.655820423023
0.2711983.8806330314256.059849185128
0.2812040.6894876736280.236619989501
0.2912101.7678587464302.677066428477
0.312166.6520263769321.940393349084
0.3112234.6220355185336.927030729293
0.3212304.7676841023346.829065467555
0.3312376.0726893364351.372955529913
0.3412447.5057110455350.710684312512
0.3512518.1067689239345.408151450741
0.3612587.0597171072336.335621603638
0.3712653.7448852256324.579966037457
0.3812717.7696077600311.325316970431
0.3912778.9772149583297.747612562067
0.412837.4367269526284.985177199697
0.4112893.4161107709274.007452400555
0.4212947.3420372313265.594834668455
0.4312999.7491931726260.24533704997
0.4413051.2227297896258.140364973029
0.4513102.3383566249259.047583651239
0.4613153.6055806207262.458543669207
0.4713205.4201346877267.529063208933
0.4813258.0312999118273.323015902080
0.4913311.5284071554278.88018150215
0.513365.8484359984283.418612733786
0.5113420.803715149286.2653791059
0.5213476.1258173075287.175286090030
0.5313531.5193721009286.136145347572
0.5413586.7180974438283.498536555732
0.5513641.5350783363279.859135264268
0.5613695.9002103298275.999632521169
0.5713749.8796240403272.728055045116
0.5813803.6745621251270.823186440057
0.5913857.6002606104270.900032074459
0.613912.0484937934273.266503583103
0.6113967.440113666277.888342825832
0.6214024.1756600036284.458140547683
0.6314082.5925075117292.418266957509
0.6414142.9358227724301.075421190843
0.6514205.3479306043309.797769954064
0.6614269.8770342907318.065529740789
0.6714336.5024172826325.560999171332
0.6814405.1702132844332.223787016315
0.6914475.8323382194338.204128122769
0.714548.4815694164343.772807749281
0.7114623.1777867865349.340362255327
0.7214700.0632473468355.281371072442
0.7314779.3672910767361.947288090173
0.7414861.4019600854369.659079567935
0.7514946.5490945393378.596786346891
0.7615035.2370292081388.906772934188
0.7715127.9027842584400.528950363393
0.7815224.9361779916413.189438552715
0.7915326.6076797356426.248320563204
0.815432.9918034079438.636929439586
0.8115543.9083287964448.99619174422
0.8215658.9072908256455.85357687831
0.8315777.3136981329458.178721347088
0.8415898.3242598364455.597975321127
0.8516021.1224777919448.592322131417
0.8616144.9711664768438.094163529967
0.8716269.2705787397425.005138689543
0.8816393.6312211510409.771424632304
0.8916518.0617581377392.85831997319
0.916643.342110657375.86189779242
0.9116771.4754432905362.624398069258
0.9216905.8062073295358.620836653662
0.9317050.1454309315366.731202501832
0.9417206.4742747017380.451970161362
0.9517371.9625649841381.386329810511
0.9617537.9256352663348.12271189173
0.9717693.7535260593275.930794623270
0.9817833.4768233371197.727479389529
0.9917952.2468327853177.442990956064


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')