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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 computationThu, 12 Feb 2015 20:31:41 +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/2015/Feb/12/t14237733316xddapnxok2j0tn.htm/, Retrieved Sun, 23 Aug 2026 17:04:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277303, Retrieved Sun, 23 Aug 2026 17:04:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact356

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] [] [2015-02-12 20:31:41] [c6da619eabbd864125b02146bc2bbd84] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10.407
10.463
10.556
10.646
10.702
11.353
11.346
11.451
11.964
12.574
13.031
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.050
15.839
15.137
14.954
15.648
15.305
15.579
16.348
15.928
16.171
15.937
15.713
15.594
15.683
16.438
17.032
17.696
17.745
19.394
20.148
20.108
18.584
18.441
18.391
19.178
18.079
18.483
19.644
19.195
19.650
20.830
23.595
22.937
21.814
21.928
21.777
21.383
21.467
22.052
22.680
24.320
24.977
25.204
25.739
26.434
27.525
30.695
32.436
30.160
30.236
31.293
31.077
32.226
33.865
32.810
32.242
32.700
32.819
33.947
34.148
35.261
39.506
41.591
39.148
41.216
40.225
41.126
42.362
40.740
40.256
39.804
41.002
41.702
42.254
43.605
43.271
43.221
41.373
40.435
39.217
39.457
36.710
34.977
32.729
31.584
32.510
32.565
30.988
30.383
28.673
29.358
30.580
31.110
30.241
30.276
30.266
31.174
31.282
30.926
31.040
30.308
31.321

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'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277303&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277303&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277303&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.46400996258040.0964228299021583
0.0210.5836610791810.202163909577143
0.0310.76738152263830.354525017916316
0.0411.02256054224050.524141292887056
0.0511.3493149856690.707235704392444
0.0611.74491649699360.908906506870468
0.0712.20315040585041.09822846303141
0.0812.70588601949511.22160840513057
0.0913.22075023114281.24254510018452
0.113.70990289027081.16171798307095
0.1114.14268856516711.01144098585622
0.1214.50362957358790.836491472932672
0.1314.79281632711110.675040407160003
0.1415.02088596562260.548184224815808
0.1515.20258677096960.459692618739334
0.1615.35198789226380.402872536853404
0.1715.48039693669280.369616367716867
0.1815.59642945928940.355544933113755
0.1915.70704369347250.360735894501077
0.215.81854051451260.387227505343208
0.2115.93703562775890.436279864399097
0.2216.06834828533550.506596241625352
0.2316.21748712057380.593747028105929
0.2416.38799153778770.690621110403723
0.2516.58138259922060.788290133368685
0.2616.79692738422150.877932356474112
0.2717.0318297866580.952200525515909
0.2817.28183694354781.0070329001673
0.2917.54212522854151.04240986257604
0.317.80824658543781.06186330573816
0.3118.07690570774771.07179998303467
0.3218.34640163666511.07952543772925
0.3318.61667518872591.09166594596866
0.3418.88901516106551.11270358727784
0.3519.16555720956231.14466938313844
0.3619.44874314739881.187171940601
0.3719.7408958814461.23838615284996
0.3820.04401680610421.29621787416944
0.3920.35984172347621.35953383382146
0.420.69011275168631.42930086305554
0.4121.03695386137261.50866702997895
0.4221.40319496276481.60198640722074
0.4321.7924888048051.71383566914304
0.4422.20911038883491.84667291704593
0.4522.65740889939261.99941514580674
0.4623.14097396939582.16622108507775
0.4723.66165581048412.33676041752534
0.4824.21862487531772.49697671965914
0.4924.80766626424462.63050964661453
0.525.42088071525972.72087379084495
0.5126.0469125343032.7538741423576
0.5226.67174712988962.71985749309006
0.5327.28001950669812.61584993199575
0.5427.85666196401662.44650233319219
0.5528.38862072778562.2241129808834
0.5628.86632318254131.96655328594992
0.5729.2846092520931.69480625488365
0.5829.64295697325031.42951921907194
0.5929.9450040266261.18792251456261
0.630.19753813654870.982001608135409
0.6130.40924018391420.817787824398189
0.6230.58947759800120.696008535235817
0.6330.74736456609630.613442110786423
0.6430.89117031170480.565110215998786
0.6531.02802697490240.545191893919283
0.6631.16381698466740.547989096548983
0.6731.30312903507970.567438416249045
0.6831.44924627962850.597293922199407
0.6931.60422428522110.63177353845576
0.731.76917467471090.666590896809205
0.7131.94485456529220.700522619595297
0.7232.13256811193210.73680528629184
0.7332.33524822016280.783674753890557
0.7432.55845797893840.853357422944844
0.7532.81097958999860.95905583193505
0.7633.10466221145661.11107837661581
0.7733.45327302176981.3125003116142
0.7833.87023614197791.55634346336486
0.7934.36538126508711.82303366151195
0.834.94119783426982.08066725395795
0.8135.58956487168722.28824019084922
0.8236.29029287023722.40414473607956
0.8337.01271510423642.39819221320957
0.8437.7207222065312.26306607732095
0.8538.3801794503832.01965031584297
0.8638.9662889947311.71217267318543
0.8739.46808635221931.39417130439609
0.8839.88838593577831.11103730941295
0.8940.23966733695930.887258068451466
0.940.5383902386790.724237612239274
0.9140.8008122640820.609751165728077
0.9241.04216264951770.532737904278862
0.9341.27872068357450.49206336486132
0.9441.53037979160630.49275898961449
0.9541.82049551014360.532894067957379
0.9642.16898580969280.592285778621629
0.9742.57458453746730.61711718724389
0.9842.99774203934570.521070071018252
0.9943.37449675567690.343812837761617

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.4640099625804 & 0.0964228299021583 \tabularnewline
0.02 & 10.583661079181 & 0.202163909577143 \tabularnewline
0.03 & 10.7673815226383 & 0.354525017916316 \tabularnewline
0.04 & 11.0225605422405 & 0.524141292887056 \tabularnewline
0.05 & 11.349314985669 & 0.707235704392444 \tabularnewline
0.06 & 11.7449164969936 & 0.908906506870468 \tabularnewline
0.07 & 12.2031504058504 & 1.09822846303141 \tabularnewline
0.08 & 12.7058860194951 & 1.22160840513057 \tabularnewline
0.09 & 13.2207502311428 & 1.24254510018452 \tabularnewline
0.1 & 13.7099028902708 & 1.16171798307095 \tabularnewline
0.11 & 14.1426885651671 & 1.01144098585622 \tabularnewline
0.12 & 14.5036295735879 & 0.836491472932672 \tabularnewline
0.13 & 14.7928163271111 & 0.675040407160003 \tabularnewline
0.14 & 15.0208859656226 & 0.548184224815808 \tabularnewline
0.15 & 15.2025867709696 & 0.459692618739334 \tabularnewline
0.16 & 15.3519878922638 & 0.402872536853404 \tabularnewline
0.17 & 15.4803969366928 & 0.369616367716867 \tabularnewline
0.18 & 15.5964294592894 & 0.355544933113755 \tabularnewline
0.19 & 15.7070436934725 & 0.360735894501077 \tabularnewline
0.2 & 15.8185405145126 & 0.387227505343208 \tabularnewline
0.21 & 15.9370356277589 & 0.436279864399097 \tabularnewline
0.22 & 16.0683482853355 & 0.506596241625352 \tabularnewline
0.23 & 16.2174871205738 & 0.593747028105929 \tabularnewline
0.24 & 16.3879915377877 & 0.690621110403723 \tabularnewline
0.25 & 16.5813825992206 & 0.788290133368685 \tabularnewline
0.26 & 16.7969273842215 & 0.877932356474112 \tabularnewline
0.27 & 17.031829786658 & 0.952200525515909 \tabularnewline
0.28 & 17.2818369435478 & 1.0070329001673 \tabularnewline
0.29 & 17.5421252285415 & 1.04240986257604 \tabularnewline
0.3 & 17.8082465854378 & 1.06186330573816 \tabularnewline
0.31 & 18.0769057077477 & 1.07179998303467 \tabularnewline
0.32 & 18.3464016366651 & 1.07952543772925 \tabularnewline
0.33 & 18.6166751887259 & 1.09166594596866 \tabularnewline
0.34 & 18.8890151610655 & 1.11270358727784 \tabularnewline
0.35 & 19.1655572095623 & 1.14466938313844 \tabularnewline
0.36 & 19.4487431473988 & 1.187171940601 \tabularnewline
0.37 & 19.740895881446 & 1.23838615284996 \tabularnewline
0.38 & 20.0440168061042 & 1.29621787416944 \tabularnewline
0.39 & 20.3598417234762 & 1.35953383382146 \tabularnewline
0.4 & 20.6901127516863 & 1.42930086305554 \tabularnewline
0.41 & 21.0369538613726 & 1.50866702997895 \tabularnewline
0.42 & 21.4031949627648 & 1.60198640722074 \tabularnewline
0.43 & 21.792488804805 & 1.71383566914304 \tabularnewline
0.44 & 22.2091103888349 & 1.84667291704593 \tabularnewline
0.45 & 22.6574088993926 & 1.99941514580674 \tabularnewline
0.46 & 23.1409739693958 & 2.16622108507775 \tabularnewline
0.47 & 23.6616558104841 & 2.33676041752534 \tabularnewline
0.48 & 24.2186248753177 & 2.49697671965914 \tabularnewline
0.49 & 24.8076662642446 & 2.63050964661453 \tabularnewline
0.5 & 25.4208807152597 & 2.72087379084495 \tabularnewline
0.51 & 26.046912534303 & 2.7538741423576 \tabularnewline
0.52 & 26.6717471298896 & 2.71985749309006 \tabularnewline
0.53 & 27.2800195066981 & 2.61584993199575 \tabularnewline
0.54 & 27.8566619640166 & 2.44650233319219 \tabularnewline
0.55 & 28.3886207277856 & 2.2241129808834 \tabularnewline
0.56 & 28.8663231825413 & 1.96655328594992 \tabularnewline
0.57 & 29.284609252093 & 1.69480625488365 \tabularnewline
0.58 & 29.6429569732503 & 1.42951921907194 \tabularnewline
0.59 & 29.945004026626 & 1.18792251456261 \tabularnewline
0.6 & 30.1975381365487 & 0.982001608135409 \tabularnewline
0.61 & 30.4092401839142 & 0.817787824398189 \tabularnewline
0.62 & 30.5894775980012 & 0.696008535235817 \tabularnewline
0.63 & 30.7473645660963 & 0.613442110786423 \tabularnewline
0.64 & 30.8911703117048 & 0.565110215998786 \tabularnewline
0.65 & 31.0280269749024 & 0.545191893919283 \tabularnewline
0.66 & 31.1638169846674 & 0.547989096548983 \tabularnewline
0.67 & 31.3031290350797 & 0.567438416249045 \tabularnewline
0.68 & 31.4492462796285 & 0.597293922199407 \tabularnewline
0.69 & 31.6042242852211 & 0.63177353845576 \tabularnewline
0.7 & 31.7691746747109 & 0.666590896809205 \tabularnewline
0.71 & 31.9448545652922 & 0.700522619595297 \tabularnewline
0.72 & 32.1325681119321 & 0.73680528629184 \tabularnewline
0.73 & 32.3352482201628 & 0.783674753890557 \tabularnewline
0.74 & 32.5584579789384 & 0.853357422944844 \tabularnewline
0.75 & 32.8109795899986 & 0.95905583193505 \tabularnewline
0.76 & 33.1046622114566 & 1.11107837661581 \tabularnewline
0.77 & 33.4532730217698 & 1.3125003116142 \tabularnewline
0.78 & 33.8702361419779 & 1.55634346336486 \tabularnewline
0.79 & 34.3653812650871 & 1.82303366151195 \tabularnewline
0.8 & 34.9411978342698 & 2.08066725395795 \tabularnewline
0.81 & 35.5895648716872 & 2.28824019084922 \tabularnewline
0.82 & 36.2902928702372 & 2.40414473607956 \tabularnewline
0.83 & 37.0127151042364 & 2.39819221320957 \tabularnewline
0.84 & 37.720722206531 & 2.26306607732095 \tabularnewline
0.85 & 38.380179450383 & 2.01965031584297 \tabularnewline
0.86 & 38.966288994731 & 1.71217267318543 \tabularnewline
0.87 & 39.4680863522193 & 1.39417130439609 \tabularnewline
0.88 & 39.8883859357783 & 1.11103730941295 \tabularnewline
0.89 & 40.2396673369593 & 0.887258068451466 \tabularnewline
0.9 & 40.538390238679 & 0.724237612239274 \tabularnewline
0.91 & 40.800812264082 & 0.609751165728077 \tabularnewline
0.92 & 41.0421626495177 & 0.532737904278862 \tabularnewline
0.93 & 41.2787206835745 & 0.49206336486132 \tabularnewline
0.94 & 41.5303797916063 & 0.49275898961449 \tabularnewline
0.95 & 41.8204955101436 & 0.532894067957379 \tabularnewline
0.96 & 42.1689858096928 & 0.592285778621629 \tabularnewline
0.97 & 42.5745845374673 & 0.61711718724389 \tabularnewline
0.98 & 42.9977420393457 & 0.521070071018252 \tabularnewline
0.99 & 43.3744967556769 & 0.343812837761617 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277303&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]10.4640099625804[/C][C]0.0964228299021583[/C][/ROW]
[ROW][C]0.02[/C][C]10.583661079181[/C][C]0.202163909577143[/C][/ROW]
[ROW][C]0.03[/C][C]10.7673815226383[/C][C]0.354525017916316[/C][/ROW]
[ROW][C]0.04[/C][C]11.0225605422405[/C][C]0.524141292887056[/C][/ROW]
[ROW][C]0.05[/C][C]11.349314985669[/C][C]0.707235704392444[/C][/ROW]
[ROW][C]0.06[/C][C]11.7449164969936[/C][C]0.908906506870468[/C][/ROW]
[ROW][C]0.07[/C][C]12.2031504058504[/C][C]1.09822846303141[/C][/ROW]
[ROW][C]0.08[/C][C]12.7058860194951[/C][C]1.22160840513057[/C][/ROW]
[ROW][C]0.09[/C][C]13.2207502311428[/C][C]1.24254510018452[/C][/ROW]
[ROW][C]0.1[/C][C]13.7099028902708[/C][C]1.16171798307095[/C][/ROW]
[ROW][C]0.11[/C][C]14.1426885651671[/C][C]1.01144098585622[/C][/ROW]
[ROW][C]0.12[/C][C]14.5036295735879[/C][C]0.836491472932672[/C][/ROW]
[ROW][C]0.13[/C][C]14.7928163271111[/C][C]0.675040407160003[/C][/ROW]
[ROW][C]0.14[/C][C]15.0208859656226[/C][C]0.548184224815808[/C][/ROW]
[ROW][C]0.15[/C][C]15.2025867709696[/C][C]0.459692618739334[/C][/ROW]
[ROW][C]0.16[/C][C]15.3519878922638[/C][C]0.402872536853404[/C][/ROW]
[ROW][C]0.17[/C][C]15.4803969366928[/C][C]0.369616367716867[/C][/ROW]
[ROW][C]0.18[/C][C]15.5964294592894[/C][C]0.355544933113755[/C][/ROW]
[ROW][C]0.19[/C][C]15.7070436934725[/C][C]0.360735894501077[/C][/ROW]
[ROW][C]0.2[/C][C]15.8185405145126[/C][C]0.387227505343208[/C][/ROW]
[ROW][C]0.21[/C][C]15.9370356277589[/C][C]0.436279864399097[/C][/ROW]
[ROW][C]0.22[/C][C]16.0683482853355[/C][C]0.506596241625352[/C][/ROW]
[ROW][C]0.23[/C][C]16.2174871205738[/C][C]0.593747028105929[/C][/ROW]
[ROW][C]0.24[/C][C]16.3879915377877[/C][C]0.690621110403723[/C][/ROW]
[ROW][C]0.25[/C][C]16.5813825992206[/C][C]0.788290133368685[/C][/ROW]
[ROW][C]0.26[/C][C]16.7969273842215[/C][C]0.877932356474112[/C][/ROW]
[ROW][C]0.27[/C][C]17.031829786658[/C][C]0.952200525515909[/C][/ROW]
[ROW][C]0.28[/C][C]17.2818369435478[/C][C]1.0070329001673[/C][/ROW]
[ROW][C]0.29[/C][C]17.5421252285415[/C][C]1.04240986257604[/C][/ROW]
[ROW][C]0.3[/C][C]17.8082465854378[/C][C]1.06186330573816[/C][/ROW]
[ROW][C]0.31[/C][C]18.0769057077477[/C][C]1.07179998303467[/C][/ROW]
[ROW][C]0.32[/C][C]18.3464016366651[/C][C]1.07952543772925[/C][/ROW]
[ROW][C]0.33[/C][C]18.6166751887259[/C][C]1.09166594596866[/C][/ROW]
[ROW][C]0.34[/C][C]18.8890151610655[/C][C]1.11270358727784[/C][/ROW]
[ROW][C]0.35[/C][C]19.1655572095623[/C][C]1.14466938313844[/C][/ROW]
[ROW][C]0.36[/C][C]19.4487431473988[/C][C]1.187171940601[/C][/ROW]
[ROW][C]0.37[/C][C]19.740895881446[/C][C]1.23838615284996[/C][/ROW]
[ROW][C]0.38[/C][C]20.0440168061042[/C][C]1.29621787416944[/C][/ROW]
[ROW][C]0.39[/C][C]20.3598417234762[/C][C]1.35953383382146[/C][/ROW]
[ROW][C]0.4[/C][C]20.6901127516863[/C][C]1.42930086305554[/C][/ROW]
[ROW][C]0.41[/C][C]21.0369538613726[/C][C]1.50866702997895[/C][/ROW]
[ROW][C]0.42[/C][C]21.4031949627648[/C][C]1.60198640722074[/C][/ROW]
[ROW][C]0.43[/C][C]21.792488804805[/C][C]1.71383566914304[/C][/ROW]
[ROW][C]0.44[/C][C]22.2091103888349[/C][C]1.84667291704593[/C][/ROW]
[ROW][C]0.45[/C][C]22.6574088993926[/C][C]1.99941514580674[/C][/ROW]
[ROW][C]0.46[/C][C]23.1409739693958[/C][C]2.16622108507775[/C][/ROW]
[ROW][C]0.47[/C][C]23.6616558104841[/C][C]2.33676041752534[/C][/ROW]
[ROW][C]0.48[/C][C]24.2186248753177[/C][C]2.49697671965914[/C][/ROW]
[ROW][C]0.49[/C][C]24.8076662642446[/C][C]2.63050964661453[/C][/ROW]
[ROW][C]0.5[/C][C]25.4208807152597[/C][C]2.72087379084495[/C][/ROW]
[ROW][C]0.51[/C][C]26.046912534303[/C][C]2.7538741423576[/C][/ROW]
[ROW][C]0.52[/C][C]26.6717471298896[/C][C]2.71985749309006[/C][/ROW]
[ROW][C]0.53[/C][C]27.2800195066981[/C][C]2.61584993199575[/C][/ROW]
[ROW][C]0.54[/C][C]27.8566619640166[/C][C]2.44650233319219[/C][/ROW]
[ROW][C]0.55[/C][C]28.3886207277856[/C][C]2.2241129808834[/C][/ROW]
[ROW][C]0.56[/C][C]28.8663231825413[/C][C]1.96655328594992[/C][/ROW]
[ROW][C]0.57[/C][C]29.284609252093[/C][C]1.69480625488365[/C][/ROW]
[ROW][C]0.58[/C][C]29.6429569732503[/C][C]1.42951921907194[/C][/ROW]
[ROW][C]0.59[/C][C]29.945004026626[/C][C]1.18792251456261[/C][/ROW]
[ROW][C]0.6[/C][C]30.1975381365487[/C][C]0.982001608135409[/C][/ROW]
[ROW][C]0.61[/C][C]30.4092401839142[/C][C]0.817787824398189[/C][/ROW]
[ROW][C]0.62[/C][C]30.5894775980012[/C][C]0.696008535235817[/C][/ROW]
[ROW][C]0.63[/C][C]30.7473645660963[/C][C]0.613442110786423[/C][/ROW]
[ROW][C]0.64[/C][C]30.8911703117048[/C][C]0.565110215998786[/C][/ROW]
[ROW][C]0.65[/C][C]31.0280269749024[/C][C]0.545191893919283[/C][/ROW]
[ROW][C]0.66[/C][C]31.1638169846674[/C][C]0.547989096548983[/C][/ROW]
[ROW][C]0.67[/C][C]31.3031290350797[/C][C]0.567438416249045[/C][/ROW]
[ROW][C]0.68[/C][C]31.4492462796285[/C][C]0.597293922199407[/C][/ROW]
[ROW][C]0.69[/C][C]31.6042242852211[/C][C]0.63177353845576[/C][/ROW]
[ROW][C]0.7[/C][C]31.7691746747109[/C][C]0.666590896809205[/C][/ROW]
[ROW][C]0.71[/C][C]31.9448545652922[/C][C]0.700522619595297[/C][/ROW]
[ROW][C]0.72[/C][C]32.1325681119321[/C][C]0.73680528629184[/C][/ROW]
[ROW][C]0.73[/C][C]32.3352482201628[/C][C]0.783674753890557[/C][/ROW]
[ROW][C]0.74[/C][C]32.5584579789384[/C][C]0.853357422944844[/C][/ROW]
[ROW][C]0.75[/C][C]32.8109795899986[/C][C]0.95905583193505[/C][/ROW]
[ROW][C]0.76[/C][C]33.1046622114566[/C][C]1.11107837661581[/C][/ROW]
[ROW][C]0.77[/C][C]33.4532730217698[/C][C]1.3125003116142[/C][/ROW]
[ROW][C]0.78[/C][C]33.8702361419779[/C][C]1.55634346336486[/C][/ROW]
[ROW][C]0.79[/C][C]34.3653812650871[/C][C]1.82303366151195[/C][/ROW]
[ROW][C]0.8[/C][C]34.9411978342698[/C][C]2.08066725395795[/C][/ROW]
[ROW][C]0.81[/C][C]35.5895648716872[/C][C]2.28824019084922[/C][/ROW]
[ROW][C]0.82[/C][C]36.2902928702372[/C][C]2.40414473607956[/C][/ROW]
[ROW][C]0.83[/C][C]37.0127151042364[/C][C]2.39819221320957[/C][/ROW]
[ROW][C]0.84[/C][C]37.720722206531[/C][C]2.26306607732095[/C][/ROW]
[ROW][C]0.85[/C][C]38.380179450383[/C][C]2.01965031584297[/C][/ROW]
[ROW][C]0.86[/C][C]38.966288994731[/C][C]1.71217267318543[/C][/ROW]
[ROW][C]0.87[/C][C]39.4680863522193[/C][C]1.39417130439609[/C][/ROW]
[ROW][C]0.88[/C][C]39.8883859357783[/C][C]1.11103730941295[/C][/ROW]
[ROW][C]0.89[/C][C]40.2396673369593[/C][C]0.887258068451466[/C][/ROW]
[ROW][C]0.9[/C][C]40.538390238679[/C][C]0.724237612239274[/C][/ROW]
[ROW][C]0.91[/C][C]40.800812264082[/C][C]0.609751165728077[/C][/ROW]
[ROW][C]0.92[/C][C]41.0421626495177[/C][C]0.532737904278862[/C][/ROW]
[ROW][C]0.93[/C][C]41.2787206835745[/C][C]0.49206336486132[/C][/ROW]
[ROW][C]0.94[/C][C]41.5303797916063[/C][C]0.49275898961449[/C][/ROW]
[ROW][C]0.95[/C][C]41.8204955101436[/C][C]0.532894067957379[/C][/ROW]
[ROW][C]0.96[/C][C]42.1689858096928[/C][C]0.592285778621629[/C][/ROW]
[ROW][C]0.97[/C][C]42.5745845374673[/C][C]0.61711718724389[/C][/ROW]
[ROW][C]0.98[/C][C]42.9977420393457[/C][C]0.521070071018252[/C][/ROW]
[ROW][C]0.99[/C][C]43.3744967556769[/C][C]0.343812837761617[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277303&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277303&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
0.0110.46400996258040.0964228299021583
0.0210.5836610791810.202163909577143
0.0310.76738152263830.354525017916316
0.0411.02256054224050.524141292887056
0.0511.3493149856690.707235704392444
0.0611.74491649699360.908906506870468
0.0712.20315040585041.09822846303141
0.0812.70588601949511.22160840513057
0.0913.22075023114281.24254510018452
0.113.70990289027081.16171798307095
0.1114.14268856516711.01144098585622
0.1214.50362957358790.836491472932672
0.1314.79281632711110.675040407160003
0.1415.02088596562260.548184224815808
0.1515.20258677096960.459692618739334
0.1615.35198789226380.402872536853404
0.1715.48039693669280.369616367716867
0.1815.59642945928940.355544933113755
0.1915.70704369347250.360735894501077
0.215.81854051451260.387227505343208
0.2115.93703562775890.436279864399097
0.2216.06834828533550.506596241625352
0.2316.21748712057380.593747028105929
0.2416.38799153778770.690621110403723
0.2516.58138259922060.788290133368685
0.2616.79692738422150.877932356474112
0.2717.0318297866580.952200525515909
0.2817.28183694354781.0070329001673
0.2917.54212522854151.04240986257604
0.317.80824658543781.06186330573816
0.3118.07690570774771.07179998303467
0.3218.34640163666511.07952543772925
0.3318.61667518872591.09166594596866
0.3418.88901516106551.11270358727784
0.3519.16555720956231.14466938313844
0.3619.44874314739881.187171940601
0.3719.7408958814461.23838615284996
0.3820.04401680610421.29621787416944
0.3920.35984172347621.35953383382146
0.420.69011275168631.42930086305554
0.4121.03695386137261.50866702997895
0.4221.40319496276481.60198640722074
0.4321.7924888048051.71383566914304
0.4422.20911038883491.84667291704593
0.4522.65740889939261.99941514580674
0.4623.14097396939582.16622108507775
0.4723.66165581048412.33676041752534
0.4824.21862487531772.49697671965914
0.4924.80766626424462.63050964661453
0.525.42088071525972.72087379084495
0.5126.0469125343032.7538741423576
0.5226.67174712988962.71985749309006
0.5327.28001950669812.61584993199575
0.5427.85666196401662.44650233319219
0.5528.38862072778562.2241129808834
0.5628.86632318254131.96655328594992
0.5729.2846092520931.69480625488365
0.5829.64295697325031.42951921907194
0.5929.9450040266261.18792251456261
0.630.19753813654870.982001608135409
0.6130.40924018391420.817787824398189
0.6230.58947759800120.696008535235817
0.6330.74736456609630.613442110786423
0.6430.89117031170480.565110215998786
0.6531.02802697490240.545191893919283
0.6631.16381698466740.547989096548983
0.6731.30312903507970.567438416249045
0.6831.44924627962850.597293922199407
0.6931.60422428522110.63177353845576
0.731.76917467471090.666590896809205
0.7131.94485456529220.700522619595297
0.7232.13256811193210.73680528629184
0.7332.33524822016280.783674753890557
0.7432.55845797893840.853357422944844
0.7532.81097958999860.95905583193505
0.7633.10466221145661.11107837661581
0.7733.45327302176981.3125003116142
0.7833.87023614197791.55634346336486
0.7934.36538126508711.82303366151195
0.834.94119783426982.08066725395795
0.8135.58956487168722.28824019084922
0.8236.29029287023722.40414473607956
0.8337.01271510423642.39819221320957
0.8437.7207222065312.26306607732095
0.8538.3801794503832.01965031584297
0.8638.9662889947311.71217267318543
0.8739.46808635221931.39417130439609
0.8839.88838593577831.11103730941295
0.8940.23966733695930.887258068451466
0.940.5383902386790.724237612239274
0.9140.8008122640820.609751165728077
0.9241.04216264951770.532737904278862
0.9341.27872068357450.49206336486132
0.9441.53037979160630.49275898961449
0.9541.82049551014360.532894067957379
0.9642.16898580969280.592285778621629
0.9742.57458453746730.61711718724389
0.9842.99774203934570.521070071018252
0.9943.37449675567690.343812837761617


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):
par3 <- '0.1'
par2 <- '0.90'
par1 <- '0.1'
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')