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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 08 Oct 2014 08:47:48 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/08/t1412754496eui8f63m0iww49a.htm/, Retrieved Sat, 11 May 2024 11:16:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239432, Retrieved Sat, 11 May 2024 11:16:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsEline Van Loon
Estimated Impact103

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] [] [2014-10-08 07:47:48] [9adebd9d8505f0d6c7bd6ecbde218cd8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
22943
21413
20631
19775
17506
20688
32631
34062
29159
25871
23719
25638
27596
28006
27662
26655
25213
28434
40388
42758
37956
33490
31578
34766
32324
32046
29565
28284
26366
27530
39728
41528
36458
32301
28985
29118
29249
28036
26326
24942
23280
23969
35948
37639
34327
30133
27549
27990
30437
30464
28471
26882
25806
26465
36416
42870
40489
36645
33841
33496
34504
34699
33322
32160
30173
30782
43062
46223
45191
40671
37251
36870

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=239432&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=239432&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239432&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
0.0118150.26375555461860.30079849697
0.0219037.48646327671402.04184152275
0.0319853.37538236231111.68085202944
0.0420514.41127415411054.89706852061
0.0521067.50758876891140.96416729727
0.0621572.16968253951251.32556639951
0.0722058.12015063571319.70431264233
0.0822529.3732205951331.44428355517
0.0922979.14645292081301.19254148189
0.123400.3774860381250.89951623787
0.1123789.65460724181195.67947010691
0.1224146.95849186981140.39131984475
0.1324474.0048382571083.67958309679
0.1424772.89531165051023.31878702355
0.1525045.5959495695959.571492642394
0.1625294.0354378146895.39844531667
0.1725520.4034098062835.336995860312
0.1825727.3343957837783.69025308803
0.1925917.862430526743.35679066591
0.226095.1861300086715.067378841695
0.2126262.3523809095697.715881934308
0.2226421.9657508753688.597214541448
0.2326575.9951251147684.278539855353
0.2426725.7069118868681.329427580638
0.2526871.7197786532677.025335907567
0.2627014.153184837669.563485435695
0.2727152.8300872436658.473010440893
0.2827287.491295272644.327831038675
0.2927417.9834991361628.608365357095
0.327544.3933404186613.428965234723
0.3127667.1137367644600.910501984664
0.3227786.8430770654592.975377051986
0.3327904.529936831590.856438498462
0.3428021.2834972146595.172923094765
0.3528138.2720816084605.799420400354
0.3628256.6296959237622.061831208652
0.3728377.3846692758643.10105101713
0.3828501.4173062992667.833449301012
0.3928629.446586608695.344805380375
0.428762.0405930011724.946119129366
0.4128899.6421213111756.068762388914
0.4229042.5998719224788.489588232618
0.4329191.1963993714822.026830994277
0.4429345.6660510027856.525872332966
0.4529506.1988830869891.908529917847
0.4629672.9295305737927.775130967429
0.4729845.9128998509963.673181319164
0.4830025.0911333619998.892281687016
0.4930210.25835196751032.42761886107
0.530401.03093348671063.15992107591
0.5130596.83117671211089.77842291192
0.5230796.89081169911111.10059674705
0.5331000.27787094421126.0949153725
0.5431205.94628273671134.15964568537
0.5531412.80302623321135.16527292327
0.5631619.78397205791129.61684128975
0.5731825.92777820181118.34075397205
0.5832030.43811466371102.6589172967
0.5932232.72794060321083.93329594291
0.632432.44455098211063.70775622339
0.6132629.47900012991043.14681794406
0.6232823.96653795691023.48307191562
0.6333016.2846162551005.85967725608
0.6433207.051615147991.300211210332
0.6533397.1237048724981.042218507441
0.6633587.5812400244976.223475687381
0.6733779.692342444978.034027675035
0.6833974.8421958731987.216928304044
0.6934174.42335469851003.68125087761
0.734379.69467265841026.50209185533
0.7134591.63185244531053.51417750169
0.7234810.80676750961081.7548968631
0.7335037.34014051141107.95091223448
0.7435270.96766353841129.19918472201
0.7535511.24005849141143.99345107095
0.7635757.84356967271152.79038778406
0.7736010.98459091511158.60314680054
0.7836271.74118203441166.68060239778
0.7936542.25934325021183.51675738422
0.836825.67800350851215.18447146044
0.8137125.71490700531264.67560460183
0.8237445.93745409351330.08874498748
0.8337788.86321834491403.90868365294
0.8438155.14821837731474.23801462085
0.8538543.17192059221527.84392316775
0.8638949.25854268131553.92073348091
0.8739368.55855125151547.90752912467
0.8839796.30388592261513.37960007404
0.8940228.90503922011460.67337783472
0.940664.41511799571401.65980862028
0.9141102.4221398251342.45855714741
0.9241544.31101047681280.66657310365
0.9341995.3671725251213.33845801568
0.9442469.19734912431155.16968728011
0.9542991.59068395641150.51897159637
0.9643596.33507149931238.24277315363
0.9744303.65915356881363.4932918766
0.9845078.62806482421373.60234471317
0.9945788.62060839751196.33739053595

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 18150.2637555546 & 1860.30079849697 \tabularnewline
0.02 & 19037.4864632767 & 1402.04184152275 \tabularnewline
0.03 & 19853.3753823623 & 1111.68085202944 \tabularnewline
0.04 & 20514.4112741541 & 1054.89706852061 \tabularnewline
0.05 & 21067.5075887689 & 1140.96416729727 \tabularnewline
0.06 & 21572.1696825395 & 1251.32556639951 \tabularnewline
0.07 & 22058.1201506357 & 1319.70431264233 \tabularnewline
0.08 & 22529.373220595 & 1331.44428355517 \tabularnewline
0.09 & 22979.1464529208 & 1301.19254148189 \tabularnewline
0.1 & 23400.377486038 & 1250.89951623787 \tabularnewline
0.11 & 23789.6546072418 & 1195.67947010691 \tabularnewline
0.12 & 24146.9584918698 & 1140.39131984475 \tabularnewline
0.13 & 24474.004838257 & 1083.67958309679 \tabularnewline
0.14 & 24772.8953116505 & 1023.31878702355 \tabularnewline
0.15 & 25045.5959495695 & 959.571492642394 \tabularnewline
0.16 & 25294.0354378146 & 895.39844531667 \tabularnewline
0.17 & 25520.4034098062 & 835.336995860312 \tabularnewline
0.18 & 25727.3343957837 & 783.69025308803 \tabularnewline
0.19 & 25917.862430526 & 743.35679066591 \tabularnewline
0.2 & 26095.1861300086 & 715.067378841695 \tabularnewline
0.21 & 26262.3523809095 & 697.715881934308 \tabularnewline
0.22 & 26421.9657508753 & 688.597214541448 \tabularnewline
0.23 & 26575.9951251147 & 684.278539855353 \tabularnewline
0.24 & 26725.7069118868 & 681.329427580638 \tabularnewline
0.25 & 26871.7197786532 & 677.025335907567 \tabularnewline
0.26 & 27014.153184837 & 669.563485435695 \tabularnewline
0.27 & 27152.8300872436 & 658.473010440893 \tabularnewline
0.28 & 27287.491295272 & 644.327831038675 \tabularnewline
0.29 & 27417.9834991361 & 628.608365357095 \tabularnewline
0.3 & 27544.3933404186 & 613.428965234723 \tabularnewline
0.31 & 27667.1137367644 & 600.910501984664 \tabularnewline
0.32 & 27786.8430770654 & 592.975377051986 \tabularnewline
0.33 & 27904.529936831 & 590.856438498462 \tabularnewline
0.34 & 28021.2834972146 & 595.172923094765 \tabularnewline
0.35 & 28138.2720816084 & 605.799420400354 \tabularnewline
0.36 & 28256.6296959237 & 622.061831208652 \tabularnewline
0.37 & 28377.3846692758 & 643.10105101713 \tabularnewline
0.38 & 28501.4173062992 & 667.833449301012 \tabularnewline
0.39 & 28629.446586608 & 695.344805380375 \tabularnewline
0.4 & 28762.0405930011 & 724.946119129366 \tabularnewline
0.41 & 28899.6421213111 & 756.068762388914 \tabularnewline
0.42 & 29042.5998719224 & 788.489588232618 \tabularnewline
0.43 & 29191.1963993714 & 822.026830994277 \tabularnewline
0.44 & 29345.6660510027 & 856.525872332966 \tabularnewline
0.45 & 29506.1988830869 & 891.908529917847 \tabularnewline
0.46 & 29672.9295305737 & 927.775130967429 \tabularnewline
0.47 & 29845.9128998509 & 963.673181319164 \tabularnewline
0.48 & 30025.0911333619 & 998.892281687016 \tabularnewline
0.49 & 30210.2583519675 & 1032.42761886107 \tabularnewline
0.5 & 30401.0309334867 & 1063.15992107591 \tabularnewline
0.51 & 30596.8311767121 & 1089.77842291192 \tabularnewline
0.52 & 30796.8908116991 & 1111.10059674705 \tabularnewline
0.53 & 31000.2778709442 & 1126.0949153725 \tabularnewline
0.54 & 31205.9462827367 & 1134.15964568537 \tabularnewline
0.55 & 31412.8030262332 & 1135.16527292327 \tabularnewline
0.56 & 31619.7839720579 & 1129.61684128975 \tabularnewline
0.57 & 31825.9277782018 & 1118.34075397205 \tabularnewline
0.58 & 32030.4381146637 & 1102.6589172967 \tabularnewline
0.59 & 32232.7279406032 & 1083.93329594291 \tabularnewline
0.6 & 32432.4445509821 & 1063.70775622339 \tabularnewline
0.61 & 32629.4790001299 & 1043.14681794406 \tabularnewline
0.62 & 32823.9665379569 & 1023.48307191562 \tabularnewline
0.63 & 33016.284616255 & 1005.85967725608 \tabularnewline
0.64 & 33207.051615147 & 991.300211210332 \tabularnewline
0.65 & 33397.1237048724 & 981.042218507441 \tabularnewline
0.66 & 33587.5812400244 & 976.223475687381 \tabularnewline
0.67 & 33779.692342444 & 978.034027675035 \tabularnewline
0.68 & 33974.8421958731 & 987.216928304044 \tabularnewline
0.69 & 34174.4233546985 & 1003.68125087761 \tabularnewline
0.7 & 34379.6946726584 & 1026.50209185533 \tabularnewline
0.71 & 34591.6318524453 & 1053.51417750169 \tabularnewline
0.72 & 34810.8067675096 & 1081.7548968631 \tabularnewline
0.73 & 35037.3401405114 & 1107.95091223448 \tabularnewline
0.74 & 35270.9676635384 & 1129.19918472201 \tabularnewline
0.75 & 35511.2400584914 & 1143.99345107095 \tabularnewline
0.76 & 35757.8435696727 & 1152.79038778406 \tabularnewline
0.77 & 36010.9845909151 & 1158.60314680054 \tabularnewline
0.78 & 36271.7411820344 & 1166.68060239778 \tabularnewline
0.79 & 36542.2593432502 & 1183.51675738422 \tabularnewline
0.8 & 36825.6780035085 & 1215.18447146044 \tabularnewline
0.81 & 37125.7149070053 & 1264.67560460183 \tabularnewline
0.82 & 37445.9374540935 & 1330.08874498748 \tabularnewline
0.83 & 37788.8632183449 & 1403.90868365294 \tabularnewline
0.84 & 38155.1482183773 & 1474.23801462085 \tabularnewline
0.85 & 38543.1719205922 & 1527.84392316775 \tabularnewline
0.86 & 38949.2585426813 & 1553.92073348091 \tabularnewline
0.87 & 39368.5585512515 & 1547.90752912467 \tabularnewline
0.88 & 39796.3038859226 & 1513.37960007404 \tabularnewline
0.89 & 40228.9050392201 & 1460.67337783472 \tabularnewline
0.9 & 40664.4151179957 & 1401.65980862028 \tabularnewline
0.91 & 41102.422139825 & 1342.45855714741 \tabularnewline
0.92 & 41544.3110104768 & 1280.66657310365 \tabularnewline
0.93 & 41995.367172525 & 1213.33845801568 \tabularnewline
0.94 & 42469.1973491243 & 1155.16968728011 \tabularnewline
0.95 & 42991.5906839564 & 1150.51897159637 \tabularnewline
0.96 & 43596.3350714993 & 1238.24277315363 \tabularnewline
0.97 & 44303.6591535688 & 1363.4932918766 \tabularnewline
0.98 & 45078.6280648242 & 1373.60234471317 \tabularnewline
0.99 & 45788.6206083975 & 1196.33739053595 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239432&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]18150.2637555546[/C][C]1860.30079849697[/C][/ROW]
[ROW][C]0.02[/C][C]19037.4864632767[/C][C]1402.04184152275[/C][/ROW]
[ROW][C]0.03[/C][C]19853.3753823623[/C][C]1111.68085202944[/C][/ROW]
[ROW][C]0.04[/C][C]20514.4112741541[/C][C]1054.89706852061[/C][/ROW]
[ROW][C]0.05[/C][C]21067.5075887689[/C][C]1140.96416729727[/C][/ROW]
[ROW][C]0.06[/C][C]21572.1696825395[/C][C]1251.32556639951[/C][/ROW]
[ROW][C]0.07[/C][C]22058.1201506357[/C][C]1319.70431264233[/C][/ROW]
[ROW][C]0.08[/C][C]22529.373220595[/C][C]1331.44428355517[/C][/ROW]
[ROW][C]0.09[/C][C]22979.1464529208[/C][C]1301.19254148189[/C][/ROW]
[ROW][C]0.1[/C][C]23400.377486038[/C][C]1250.89951623787[/C][/ROW]
[ROW][C]0.11[/C][C]23789.6546072418[/C][C]1195.67947010691[/C][/ROW]
[ROW][C]0.12[/C][C]24146.9584918698[/C][C]1140.39131984475[/C][/ROW]
[ROW][C]0.13[/C][C]24474.004838257[/C][C]1083.67958309679[/C][/ROW]
[ROW][C]0.14[/C][C]24772.8953116505[/C][C]1023.31878702355[/C][/ROW]
[ROW][C]0.15[/C][C]25045.5959495695[/C][C]959.571492642394[/C][/ROW]
[ROW][C]0.16[/C][C]25294.0354378146[/C][C]895.39844531667[/C][/ROW]
[ROW][C]0.17[/C][C]25520.4034098062[/C][C]835.336995860312[/C][/ROW]
[ROW][C]0.18[/C][C]25727.3343957837[/C][C]783.69025308803[/C][/ROW]
[ROW][C]0.19[/C][C]25917.862430526[/C][C]743.35679066591[/C][/ROW]
[ROW][C]0.2[/C][C]26095.1861300086[/C][C]715.067378841695[/C][/ROW]
[ROW][C]0.21[/C][C]26262.3523809095[/C][C]697.715881934308[/C][/ROW]
[ROW][C]0.22[/C][C]26421.9657508753[/C][C]688.597214541448[/C][/ROW]
[ROW][C]0.23[/C][C]26575.9951251147[/C][C]684.278539855353[/C][/ROW]
[ROW][C]0.24[/C][C]26725.7069118868[/C][C]681.329427580638[/C][/ROW]
[ROW][C]0.25[/C][C]26871.7197786532[/C][C]677.025335907567[/C][/ROW]
[ROW][C]0.26[/C][C]27014.153184837[/C][C]669.563485435695[/C][/ROW]
[ROW][C]0.27[/C][C]27152.8300872436[/C][C]658.473010440893[/C][/ROW]
[ROW][C]0.28[/C][C]27287.491295272[/C][C]644.327831038675[/C][/ROW]
[ROW][C]0.29[/C][C]27417.9834991361[/C][C]628.608365357095[/C][/ROW]
[ROW][C]0.3[/C][C]27544.3933404186[/C][C]613.428965234723[/C][/ROW]
[ROW][C]0.31[/C][C]27667.1137367644[/C][C]600.910501984664[/C][/ROW]
[ROW][C]0.32[/C][C]27786.8430770654[/C][C]592.975377051986[/C][/ROW]
[ROW][C]0.33[/C][C]27904.529936831[/C][C]590.856438498462[/C][/ROW]
[ROW][C]0.34[/C][C]28021.2834972146[/C][C]595.172923094765[/C][/ROW]
[ROW][C]0.35[/C][C]28138.2720816084[/C][C]605.799420400354[/C][/ROW]
[ROW][C]0.36[/C][C]28256.6296959237[/C][C]622.061831208652[/C][/ROW]
[ROW][C]0.37[/C][C]28377.3846692758[/C][C]643.10105101713[/C][/ROW]
[ROW][C]0.38[/C][C]28501.4173062992[/C][C]667.833449301012[/C][/ROW]
[ROW][C]0.39[/C][C]28629.446586608[/C][C]695.344805380375[/C][/ROW]
[ROW][C]0.4[/C][C]28762.0405930011[/C][C]724.946119129366[/C][/ROW]
[ROW][C]0.41[/C][C]28899.6421213111[/C][C]756.068762388914[/C][/ROW]
[ROW][C]0.42[/C][C]29042.5998719224[/C][C]788.489588232618[/C][/ROW]
[ROW][C]0.43[/C][C]29191.1963993714[/C][C]822.026830994277[/C][/ROW]
[ROW][C]0.44[/C][C]29345.6660510027[/C][C]856.525872332966[/C][/ROW]
[ROW][C]0.45[/C][C]29506.1988830869[/C][C]891.908529917847[/C][/ROW]
[ROW][C]0.46[/C][C]29672.9295305737[/C][C]927.775130967429[/C][/ROW]
[ROW][C]0.47[/C][C]29845.9128998509[/C][C]963.673181319164[/C][/ROW]
[ROW][C]0.48[/C][C]30025.0911333619[/C][C]998.892281687016[/C][/ROW]
[ROW][C]0.49[/C][C]30210.2583519675[/C][C]1032.42761886107[/C][/ROW]
[ROW][C]0.5[/C][C]30401.0309334867[/C][C]1063.15992107591[/C][/ROW]
[ROW][C]0.51[/C][C]30596.8311767121[/C][C]1089.77842291192[/C][/ROW]
[ROW][C]0.52[/C][C]30796.8908116991[/C][C]1111.10059674705[/C][/ROW]
[ROW][C]0.53[/C][C]31000.2778709442[/C][C]1126.0949153725[/C][/ROW]
[ROW][C]0.54[/C][C]31205.9462827367[/C][C]1134.15964568537[/C][/ROW]
[ROW][C]0.55[/C][C]31412.8030262332[/C][C]1135.16527292327[/C][/ROW]
[ROW][C]0.56[/C][C]31619.7839720579[/C][C]1129.61684128975[/C][/ROW]
[ROW][C]0.57[/C][C]31825.9277782018[/C][C]1118.34075397205[/C][/ROW]
[ROW][C]0.58[/C][C]32030.4381146637[/C][C]1102.6589172967[/C][/ROW]
[ROW][C]0.59[/C][C]32232.7279406032[/C][C]1083.93329594291[/C][/ROW]
[ROW][C]0.6[/C][C]32432.4445509821[/C][C]1063.70775622339[/C][/ROW]
[ROW][C]0.61[/C][C]32629.4790001299[/C][C]1043.14681794406[/C][/ROW]
[ROW][C]0.62[/C][C]32823.9665379569[/C][C]1023.48307191562[/C][/ROW]
[ROW][C]0.63[/C][C]33016.284616255[/C][C]1005.85967725608[/C][/ROW]
[ROW][C]0.64[/C][C]33207.051615147[/C][C]991.300211210332[/C][/ROW]
[ROW][C]0.65[/C][C]33397.1237048724[/C][C]981.042218507441[/C][/ROW]
[ROW][C]0.66[/C][C]33587.5812400244[/C][C]976.223475687381[/C][/ROW]
[ROW][C]0.67[/C][C]33779.692342444[/C][C]978.034027675035[/C][/ROW]
[ROW][C]0.68[/C][C]33974.8421958731[/C][C]987.216928304044[/C][/ROW]
[ROW][C]0.69[/C][C]34174.4233546985[/C][C]1003.68125087761[/C][/ROW]
[ROW][C]0.7[/C][C]34379.6946726584[/C][C]1026.50209185533[/C][/ROW]
[ROW][C]0.71[/C][C]34591.6318524453[/C][C]1053.51417750169[/C][/ROW]
[ROW][C]0.72[/C][C]34810.8067675096[/C][C]1081.7548968631[/C][/ROW]
[ROW][C]0.73[/C][C]35037.3401405114[/C][C]1107.95091223448[/C][/ROW]
[ROW][C]0.74[/C][C]35270.9676635384[/C][C]1129.19918472201[/C][/ROW]
[ROW][C]0.75[/C][C]35511.2400584914[/C][C]1143.99345107095[/C][/ROW]
[ROW][C]0.76[/C][C]35757.8435696727[/C][C]1152.79038778406[/C][/ROW]
[ROW][C]0.77[/C][C]36010.9845909151[/C][C]1158.60314680054[/C][/ROW]
[ROW][C]0.78[/C][C]36271.7411820344[/C][C]1166.68060239778[/C][/ROW]
[ROW][C]0.79[/C][C]36542.2593432502[/C][C]1183.51675738422[/C][/ROW]
[ROW][C]0.8[/C][C]36825.6780035085[/C][C]1215.18447146044[/C][/ROW]
[ROW][C]0.81[/C][C]37125.7149070053[/C][C]1264.67560460183[/C][/ROW]
[ROW][C]0.82[/C][C]37445.9374540935[/C][C]1330.08874498748[/C][/ROW]
[ROW][C]0.83[/C][C]37788.8632183449[/C][C]1403.90868365294[/C][/ROW]
[ROW][C]0.84[/C][C]38155.1482183773[/C][C]1474.23801462085[/C][/ROW]
[ROW][C]0.85[/C][C]38543.1719205922[/C][C]1527.84392316775[/C][/ROW]
[ROW][C]0.86[/C][C]38949.2585426813[/C][C]1553.92073348091[/C][/ROW]
[ROW][C]0.87[/C][C]39368.5585512515[/C][C]1547.90752912467[/C][/ROW]
[ROW][C]0.88[/C][C]39796.3038859226[/C][C]1513.37960007404[/C][/ROW]
[ROW][C]0.89[/C][C]40228.9050392201[/C][C]1460.67337783472[/C][/ROW]
[ROW][C]0.9[/C][C]40664.4151179957[/C][C]1401.65980862028[/C][/ROW]
[ROW][C]0.91[/C][C]41102.422139825[/C][C]1342.45855714741[/C][/ROW]
[ROW][C]0.92[/C][C]41544.3110104768[/C][C]1280.66657310365[/C][/ROW]
[ROW][C]0.93[/C][C]41995.367172525[/C][C]1213.33845801568[/C][/ROW]
[ROW][C]0.94[/C][C]42469.1973491243[/C][C]1155.16968728011[/C][/ROW]
[ROW][C]0.95[/C][C]42991.5906839564[/C][C]1150.51897159637[/C][/ROW]
[ROW][C]0.96[/C][C]43596.3350714993[/C][C]1238.24277315363[/C][/ROW]
[ROW][C]0.97[/C][C]44303.6591535688[/C][C]1363.4932918766[/C][/ROW]
[ROW][C]0.98[/C][C]45078.6280648242[/C][C]1373.60234471317[/C][/ROW]
[ROW][C]0.99[/C][C]45788.6206083975[/C][C]1196.33739053595[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239432&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239432&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
0.0118150.26375555461860.30079849697
0.0219037.48646327671402.04184152275
0.0319853.37538236231111.68085202944
0.0420514.41127415411054.89706852061
0.0521067.50758876891140.96416729727
0.0621572.16968253951251.32556639951
0.0722058.12015063571319.70431264233
0.0822529.3732205951331.44428355517
0.0922979.14645292081301.19254148189
0.123400.3774860381250.89951623787
0.1123789.65460724181195.67947010691
0.1224146.95849186981140.39131984475
0.1324474.0048382571083.67958309679
0.1424772.89531165051023.31878702355
0.1525045.5959495695959.571492642394
0.1625294.0354378146895.39844531667
0.1725520.4034098062835.336995860312
0.1825727.3343957837783.69025308803
0.1925917.862430526743.35679066591
0.226095.1861300086715.067378841695
0.2126262.3523809095697.715881934308
0.2226421.9657508753688.597214541448
0.2326575.9951251147684.278539855353
0.2426725.7069118868681.329427580638
0.2526871.7197786532677.025335907567
0.2627014.153184837669.563485435695
0.2727152.8300872436658.473010440893
0.2827287.491295272644.327831038675
0.2927417.9834991361628.608365357095
0.327544.3933404186613.428965234723
0.3127667.1137367644600.910501984664
0.3227786.8430770654592.975377051986
0.3327904.529936831590.856438498462
0.3428021.2834972146595.172923094765
0.3528138.2720816084605.799420400354
0.3628256.6296959237622.061831208652
0.3728377.3846692758643.10105101713
0.3828501.4173062992667.833449301012
0.3928629.446586608695.344805380375
0.428762.0405930011724.946119129366
0.4128899.6421213111756.068762388914
0.4229042.5998719224788.489588232618
0.4329191.1963993714822.026830994277
0.4429345.6660510027856.525872332966
0.4529506.1988830869891.908529917847
0.4629672.9295305737927.775130967429
0.4729845.9128998509963.673181319164
0.4830025.0911333619998.892281687016
0.4930210.25835196751032.42761886107
0.530401.03093348671063.15992107591
0.5130596.83117671211089.77842291192
0.5230796.89081169911111.10059674705
0.5331000.27787094421126.0949153725
0.5431205.94628273671134.15964568537
0.5531412.80302623321135.16527292327
0.5631619.78397205791129.61684128975
0.5731825.92777820181118.34075397205
0.5832030.43811466371102.6589172967
0.5932232.72794060321083.93329594291
0.632432.44455098211063.70775622339
0.6132629.47900012991043.14681794406
0.6232823.96653795691023.48307191562
0.6333016.2846162551005.85967725608
0.6433207.051615147991.300211210332
0.6533397.1237048724981.042218507441
0.6633587.5812400244976.223475687381
0.6733779.692342444978.034027675035
0.6833974.8421958731987.216928304044
0.6934174.42335469851003.68125087761
0.734379.69467265841026.50209185533
0.7134591.63185244531053.51417750169
0.7234810.80676750961081.7548968631
0.7335037.34014051141107.95091223448
0.7435270.96766353841129.19918472201
0.7535511.24005849141143.99345107095
0.7635757.84356967271152.79038778406
0.7736010.98459091511158.60314680054
0.7836271.74118203441166.68060239778
0.7936542.25934325021183.51675738422
0.836825.67800350851215.18447146044
0.8137125.71490700531264.67560460183
0.8237445.93745409351330.08874498748
0.8337788.86321834491403.90868365294
0.8438155.14821837731474.23801462085
0.8538543.17192059221527.84392316775
0.8638949.25854268131553.92073348091
0.8739368.55855125151547.90752912467
0.8839796.30388592261513.37960007404
0.8940228.90503922011460.67337783472
0.940664.41511799571401.65980862028
0.9141102.4221398251342.45855714741
0.9241544.31101047681280.66657310365
0.9341995.3671725251213.33845801568
0.9442469.19734912431155.16968728011
0.9542991.59068395641150.51897159637
0.9643596.33507149931238.24277315363
0.9744303.65915356881363.4932918766
0.9845078.62806482421373.60234471317
0.9945788.62060839751196.33739053595


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')