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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, 06 Oct 2016 21:46:47 +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/2016/Oct/06/t1475786834aymtskda17wns4a.htm/, Retrieved Sat, 04 May 2024 18:27:17 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 18:27:17 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
37729
48191
52498
57319
44377
48081
52597
53331
39587
46278
50365
57176
39251
47946
50427
54317
41210
50592
55728
59099
47519
53203
53882
55163
45255
50423
52161
54562
40971
48014
48440
44967
27218
30269
33234
36811
27745
31891
32398
34093
28358
29532
30769
32080
23951
34628
22978
35704
23090
22111
28925
35968
28963
34074
39160
51314
34527
40722
50609
52435

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' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0122325.2973736913782.240600827336
0.0222677.7238059121823.04389751668
0.0323125.30510807181083.26608542702
0.0423652.01269317321465.68489241783
0.0524251.51117598311820.10761535114
0.0624906.36585018422047.85090097351
0.0725584.7889016732115.98179143504
0.0826250.20002094552046.19024343437
0.0926872.55797130351890.97263783879
0.127434.83423135361708.82446895396
0.1127933.58192125271546.83039569585
0.1228375.59525007271432.6648210725
0.1328773.22309664411374.22976701694
0.1429140.17835800751364.66199874501
0.1529488.68341415131389.60896933643
0.1629828.0330652981433.76968514456
0.1730164.26498471311484.26920748094
0.1830500.52423444251531.9467982178
0.1930837.76132650381571.2937150635
0.231175.50930695921599.98956470234
0.2131512.58814593161618.1531074776
0.2231847.66384762621627.59936117792
0.2332179.64295311321631.2334633243
0.2432507.91451623911632.38687681449
0.2532832.46625469611634.63116415631
0.2633153.90441598251641.36666242371
0.2733473.40291071461655.8333472927
0.2833792.60106841471680.51638211389
0.2934113.4645071281717.26122468463
0.334438.12188023981766.588091683
0.3134768.69155676861828.02876284576
0.3235107.11500452961899.66361028071
0.3335455.01553721261978.89781911786
0.3435813.60019532892062.43319160456
0.3536183.61786737242147.13124810364
0.3636565.37859302092230.01104235156
0.3736958.82873473212309.34432484942
0.3837363.66647762922384.1160412722
0.3937779.4741785112454.52372752317
0.438205.84027371782521.73257377773
0.4138642.44477430962587.15473278758
0.4239089.08877365162652.41742543109
0.4339545.65877512212718.53845770477
0.4440012.02911017122785.24653283816
0.4540487.91792565522851.05299636242
0.4640972.72188151662913.21865247159
0.4741465.36001797172967.4774836765
0.4841964.15726738833009.15083915479
0.4942466.79284208223033.44141929547
0.542970.32921398983036.0437593288
0.5143471.3253059293013.9607986926
0.5243966.02486355022965.5453347794
0.5344450.59974668342891.14721641394
0.5444921.41967282462792.89882692694
0.5545375.31580854962674.69109423571
0.5645809.80596962872541.56661364797
0.5746223.25392613652399.64753567411
0.5846614.94380423632255.42898266224
0.5946985.06181274232114.95024024067
0.647334.59011626231983.45795992075
0.6147665.12992732991864.88757142927
0.6247978.68089799531761.33896895888
0.6348277.40980280721673.03827953506
0.6448563.4418916821598.54799579904
0.6548838.70259814561535.35140383638
0.6649104.8262080271480.42277002972
0.6749363.13368900441430.88601697676
0.6849614.66732272321384.83294700363
0.6949860.25866449061341.22942211491
0.750100.6017261931299.94388409656
0.7150336.30662888241261.40320725224
0.7250567.91955971151226.03754529827
0.7350795.90965708591193.80472436579
0.7451020.63781338261163.92960083915
0.7551242.33146818621135.1465264079
0.7651461.08980295541105.89919711136
0.7751676.93463034851075.09546422984
0.7851889.9063027761042.38250523098
0.7952100.18651479511008.61887806515
0.852308.2174749091975.614125737482
0.8152514.7850662599945.642492611558
0.8252721.0446634481920.926459447273
0.8352928.4901824443903.057169918653
0.8453138.8932314115892.395062725873
0.8553354.2601296996888.392136716473
0.8653576.8589057413890.215130119052
0.8753809.3459227551897.403954428878
0.8854054.9664901392910.761837973172
0.8954317.7205961237932.596002206806
0.954602.3031841181965.749225567119
0.9154913.62193548991011.31977382709
0.9255255.88842126961065.10979001723
0.9355631.77664060811114.65156258875
0.9456042.79038339281140.61071504455
0.9556491.92217812971127.13494189088
0.9656987.18479138741085.32971541676
0.9757538.55060431161082.68985537265
0.9858135.78984790231220.20339355706
0.9958706.51008503221495.9127733512

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 22325.2973736913 & 782.240600827336 \tabularnewline
0.02 & 22677.7238059121 & 823.04389751668 \tabularnewline
0.03 & 23125.3051080718 & 1083.26608542702 \tabularnewline
0.04 & 23652.0126931732 & 1465.68489241783 \tabularnewline
0.05 & 24251.5111759831 & 1820.10761535114 \tabularnewline
0.06 & 24906.3658501842 & 2047.85090097351 \tabularnewline
0.07 & 25584.788901673 & 2115.98179143504 \tabularnewline
0.08 & 26250.2000209455 & 2046.19024343437 \tabularnewline
0.09 & 26872.5579713035 & 1890.97263783879 \tabularnewline
0.1 & 27434.8342313536 & 1708.82446895396 \tabularnewline
0.11 & 27933.5819212527 & 1546.83039569585 \tabularnewline
0.12 & 28375.5952500727 & 1432.6648210725 \tabularnewline
0.13 & 28773.2230966441 & 1374.22976701694 \tabularnewline
0.14 & 29140.1783580075 & 1364.66199874501 \tabularnewline
0.15 & 29488.6834141513 & 1389.60896933643 \tabularnewline
0.16 & 29828.033065298 & 1433.76968514456 \tabularnewline
0.17 & 30164.2649847131 & 1484.26920748094 \tabularnewline
0.18 & 30500.5242344425 & 1531.9467982178 \tabularnewline
0.19 & 30837.7613265038 & 1571.2937150635 \tabularnewline
0.2 & 31175.5093069592 & 1599.98956470234 \tabularnewline
0.21 & 31512.5881459316 & 1618.1531074776 \tabularnewline
0.22 & 31847.6638476262 & 1627.59936117792 \tabularnewline
0.23 & 32179.6429531132 & 1631.2334633243 \tabularnewline
0.24 & 32507.9145162391 & 1632.38687681449 \tabularnewline
0.25 & 32832.4662546961 & 1634.63116415631 \tabularnewline
0.26 & 33153.9044159825 & 1641.36666242371 \tabularnewline
0.27 & 33473.4029107146 & 1655.8333472927 \tabularnewline
0.28 & 33792.6010684147 & 1680.51638211389 \tabularnewline
0.29 & 34113.464507128 & 1717.26122468463 \tabularnewline
0.3 & 34438.1218802398 & 1766.588091683 \tabularnewline
0.31 & 34768.6915567686 & 1828.02876284576 \tabularnewline
0.32 & 35107.1150045296 & 1899.66361028071 \tabularnewline
0.33 & 35455.0155372126 & 1978.89781911786 \tabularnewline
0.34 & 35813.6001953289 & 2062.43319160456 \tabularnewline
0.35 & 36183.6178673724 & 2147.13124810364 \tabularnewline
0.36 & 36565.3785930209 & 2230.01104235156 \tabularnewline
0.37 & 36958.8287347321 & 2309.34432484942 \tabularnewline
0.38 & 37363.6664776292 & 2384.1160412722 \tabularnewline
0.39 & 37779.474178511 & 2454.52372752317 \tabularnewline
0.4 & 38205.8402737178 & 2521.73257377773 \tabularnewline
0.41 & 38642.4447743096 & 2587.15473278758 \tabularnewline
0.42 & 39089.0887736516 & 2652.41742543109 \tabularnewline
0.43 & 39545.6587751221 & 2718.53845770477 \tabularnewline
0.44 & 40012.0291101712 & 2785.24653283816 \tabularnewline
0.45 & 40487.9179256552 & 2851.05299636242 \tabularnewline
0.46 & 40972.7218815166 & 2913.21865247159 \tabularnewline
0.47 & 41465.3600179717 & 2967.4774836765 \tabularnewline
0.48 & 41964.1572673883 & 3009.15083915479 \tabularnewline
0.49 & 42466.7928420822 & 3033.44141929547 \tabularnewline
0.5 & 42970.3292139898 & 3036.0437593288 \tabularnewline
0.51 & 43471.325305929 & 3013.9607986926 \tabularnewline
0.52 & 43966.0248635502 & 2965.5453347794 \tabularnewline
0.53 & 44450.5997466834 & 2891.14721641394 \tabularnewline
0.54 & 44921.4196728246 & 2792.89882692694 \tabularnewline
0.55 & 45375.3158085496 & 2674.69109423571 \tabularnewline
0.56 & 45809.8059696287 & 2541.56661364797 \tabularnewline
0.57 & 46223.2539261365 & 2399.64753567411 \tabularnewline
0.58 & 46614.9438042363 & 2255.42898266224 \tabularnewline
0.59 & 46985.0618127423 & 2114.95024024067 \tabularnewline
0.6 & 47334.5901162623 & 1983.45795992075 \tabularnewline
0.61 & 47665.1299273299 & 1864.88757142927 \tabularnewline
0.62 & 47978.6808979953 & 1761.33896895888 \tabularnewline
0.63 & 48277.4098028072 & 1673.03827953506 \tabularnewline
0.64 & 48563.441891682 & 1598.54799579904 \tabularnewline
0.65 & 48838.7025981456 & 1535.35140383638 \tabularnewline
0.66 & 49104.826208027 & 1480.42277002972 \tabularnewline
0.67 & 49363.1336890044 & 1430.88601697676 \tabularnewline
0.68 & 49614.6673227232 & 1384.83294700363 \tabularnewline
0.69 & 49860.2586644906 & 1341.22942211491 \tabularnewline
0.7 & 50100.601726193 & 1299.94388409656 \tabularnewline
0.71 & 50336.3066288824 & 1261.40320725224 \tabularnewline
0.72 & 50567.9195597115 & 1226.03754529827 \tabularnewline
0.73 & 50795.9096570859 & 1193.80472436579 \tabularnewline
0.74 & 51020.6378133826 & 1163.92960083915 \tabularnewline
0.75 & 51242.3314681862 & 1135.1465264079 \tabularnewline
0.76 & 51461.0898029554 & 1105.89919711136 \tabularnewline
0.77 & 51676.9346303485 & 1075.09546422984 \tabularnewline
0.78 & 51889.906302776 & 1042.38250523098 \tabularnewline
0.79 & 52100.1865147951 & 1008.61887806515 \tabularnewline
0.8 & 52308.2174749091 & 975.614125737482 \tabularnewline
0.81 & 52514.7850662599 & 945.642492611558 \tabularnewline
0.82 & 52721.0446634481 & 920.926459447273 \tabularnewline
0.83 & 52928.4901824443 & 903.057169918653 \tabularnewline
0.84 & 53138.8932314115 & 892.395062725873 \tabularnewline
0.85 & 53354.2601296996 & 888.392136716473 \tabularnewline
0.86 & 53576.8589057413 & 890.215130119052 \tabularnewline
0.87 & 53809.3459227551 & 897.403954428878 \tabularnewline
0.88 & 54054.9664901392 & 910.761837973172 \tabularnewline
0.89 & 54317.7205961237 & 932.596002206806 \tabularnewline
0.9 & 54602.3031841181 & 965.749225567119 \tabularnewline
0.91 & 54913.6219354899 & 1011.31977382709 \tabularnewline
0.92 & 55255.8884212696 & 1065.10979001723 \tabularnewline
0.93 & 55631.7766406081 & 1114.65156258875 \tabularnewline
0.94 & 56042.7903833928 & 1140.61071504455 \tabularnewline
0.95 & 56491.9221781297 & 1127.13494189088 \tabularnewline
0.96 & 56987.1847913874 & 1085.32971541676 \tabularnewline
0.97 & 57538.5506043116 & 1082.68985537265 \tabularnewline
0.98 & 58135.7898479023 & 1220.20339355706 \tabularnewline
0.99 & 58706.5100850322 & 1495.9127733512 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]22325.2973736913[/C][C]782.240600827336[/C][/ROW]
[ROW][C]0.02[/C][C]22677.7238059121[/C][C]823.04389751668[/C][/ROW]
[ROW][C]0.03[/C][C]23125.3051080718[/C][C]1083.26608542702[/C][/ROW]
[ROW][C]0.04[/C][C]23652.0126931732[/C][C]1465.68489241783[/C][/ROW]
[ROW][C]0.05[/C][C]24251.5111759831[/C][C]1820.10761535114[/C][/ROW]
[ROW][C]0.06[/C][C]24906.3658501842[/C][C]2047.85090097351[/C][/ROW]
[ROW][C]0.07[/C][C]25584.788901673[/C][C]2115.98179143504[/C][/ROW]
[ROW][C]0.08[/C][C]26250.2000209455[/C][C]2046.19024343437[/C][/ROW]
[ROW][C]0.09[/C][C]26872.5579713035[/C][C]1890.97263783879[/C][/ROW]
[ROW][C]0.1[/C][C]27434.8342313536[/C][C]1708.82446895396[/C][/ROW]
[ROW][C]0.11[/C][C]27933.5819212527[/C][C]1546.83039569585[/C][/ROW]
[ROW][C]0.12[/C][C]28375.5952500727[/C][C]1432.6648210725[/C][/ROW]
[ROW][C]0.13[/C][C]28773.2230966441[/C][C]1374.22976701694[/C][/ROW]
[ROW][C]0.14[/C][C]29140.1783580075[/C][C]1364.66199874501[/C][/ROW]
[ROW][C]0.15[/C][C]29488.6834141513[/C][C]1389.60896933643[/C][/ROW]
[ROW][C]0.16[/C][C]29828.033065298[/C][C]1433.76968514456[/C][/ROW]
[ROW][C]0.17[/C][C]30164.2649847131[/C][C]1484.26920748094[/C][/ROW]
[ROW][C]0.18[/C][C]30500.5242344425[/C][C]1531.9467982178[/C][/ROW]
[ROW][C]0.19[/C][C]30837.7613265038[/C][C]1571.2937150635[/C][/ROW]
[ROW][C]0.2[/C][C]31175.5093069592[/C][C]1599.98956470234[/C][/ROW]
[ROW][C]0.21[/C][C]31512.5881459316[/C][C]1618.1531074776[/C][/ROW]
[ROW][C]0.22[/C][C]31847.6638476262[/C][C]1627.59936117792[/C][/ROW]
[ROW][C]0.23[/C][C]32179.6429531132[/C][C]1631.2334633243[/C][/ROW]
[ROW][C]0.24[/C][C]32507.9145162391[/C][C]1632.38687681449[/C][/ROW]
[ROW][C]0.25[/C][C]32832.4662546961[/C][C]1634.63116415631[/C][/ROW]
[ROW][C]0.26[/C][C]33153.9044159825[/C][C]1641.36666242371[/C][/ROW]
[ROW][C]0.27[/C][C]33473.4029107146[/C][C]1655.8333472927[/C][/ROW]
[ROW][C]0.28[/C][C]33792.6010684147[/C][C]1680.51638211389[/C][/ROW]
[ROW][C]0.29[/C][C]34113.464507128[/C][C]1717.26122468463[/C][/ROW]
[ROW][C]0.3[/C][C]34438.1218802398[/C][C]1766.588091683[/C][/ROW]
[ROW][C]0.31[/C][C]34768.6915567686[/C][C]1828.02876284576[/C][/ROW]
[ROW][C]0.32[/C][C]35107.1150045296[/C][C]1899.66361028071[/C][/ROW]
[ROW][C]0.33[/C][C]35455.0155372126[/C][C]1978.89781911786[/C][/ROW]
[ROW][C]0.34[/C][C]35813.6001953289[/C][C]2062.43319160456[/C][/ROW]
[ROW][C]0.35[/C][C]36183.6178673724[/C][C]2147.13124810364[/C][/ROW]
[ROW][C]0.36[/C][C]36565.3785930209[/C][C]2230.01104235156[/C][/ROW]
[ROW][C]0.37[/C][C]36958.8287347321[/C][C]2309.34432484942[/C][/ROW]
[ROW][C]0.38[/C][C]37363.6664776292[/C][C]2384.1160412722[/C][/ROW]
[ROW][C]0.39[/C][C]37779.474178511[/C][C]2454.52372752317[/C][/ROW]
[ROW][C]0.4[/C][C]38205.8402737178[/C][C]2521.73257377773[/C][/ROW]
[ROW][C]0.41[/C][C]38642.4447743096[/C][C]2587.15473278758[/C][/ROW]
[ROW][C]0.42[/C][C]39089.0887736516[/C][C]2652.41742543109[/C][/ROW]
[ROW][C]0.43[/C][C]39545.6587751221[/C][C]2718.53845770477[/C][/ROW]
[ROW][C]0.44[/C][C]40012.0291101712[/C][C]2785.24653283816[/C][/ROW]
[ROW][C]0.45[/C][C]40487.9179256552[/C][C]2851.05299636242[/C][/ROW]
[ROW][C]0.46[/C][C]40972.7218815166[/C][C]2913.21865247159[/C][/ROW]
[ROW][C]0.47[/C][C]41465.3600179717[/C][C]2967.4774836765[/C][/ROW]
[ROW][C]0.48[/C][C]41964.1572673883[/C][C]3009.15083915479[/C][/ROW]
[ROW][C]0.49[/C][C]42466.7928420822[/C][C]3033.44141929547[/C][/ROW]
[ROW][C]0.5[/C][C]42970.3292139898[/C][C]3036.0437593288[/C][/ROW]
[ROW][C]0.51[/C][C]43471.325305929[/C][C]3013.9607986926[/C][/ROW]
[ROW][C]0.52[/C][C]43966.0248635502[/C][C]2965.5453347794[/C][/ROW]
[ROW][C]0.53[/C][C]44450.5997466834[/C][C]2891.14721641394[/C][/ROW]
[ROW][C]0.54[/C][C]44921.4196728246[/C][C]2792.89882692694[/C][/ROW]
[ROW][C]0.55[/C][C]45375.3158085496[/C][C]2674.69109423571[/C][/ROW]
[ROW][C]0.56[/C][C]45809.8059696287[/C][C]2541.56661364797[/C][/ROW]
[ROW][C]0.57[/C][C]46223.2539261365[/C][C]2399.64753567411[/C][/ROW]
[ROW][C]0.58[/C][C]46614.9438042363[/C][C]2255.42898266224[/C][/ROW]
[ROW][C]0.59[/C][C]46985.0618127423[/C][C]2114.95024024067[/C][/ROW]
[ROW][C]0.6[/C][C]47334.5901162623[/C][C]1983.45795992075[/C][/ROW]
[ROW][C]0.61[/C][C]47665.1299273299[/C][C]1864.88757142927[/C][/ROW]
[ROW][C]0.62[/C][C]47978.6808979953[/C][C]1761.33896895888[/C][/ROW]
[ROW][C]0.63[/C][C]48277.4098028072[/C][C]1673.03827953506[/C][/ROW]
[ROW][C]0.64[/C][C]48563.441891682[/C][C]1598.54799579904[/C][/ROW]
[ROW][C]0.65[/C][C]48838.7025981456[/C][C]1535.35140383638[/C][/ROW]
[ROW][C]0.66[/C][C]49104.826208027[/C][C]1480.42277002972[/C][/ROW]
[ROW][C]0.67[/C][C]49363.1336890044[/C][C]1430.88601697676[/C][/ROW]
[ROW][C]0.68[/C][C]49614.6673227232[/C][C]1384.83294700363[/C][/ROW]
[ROW][C]0.69[/C][C]49860.2586644906[/C][C]1341.22942211491[/C][/ROW]
[ROW][C]0.7[/C][C]50100.601726193[/C][C]1299.94388409656[/C][/ROW]
[ROW][C]0.71[/C][C]50336.3066288824[/C][C]1261.40320725224[/C][/ROW]
[ROW][C]0.72[/C][C]50567.9195597115[/C][C]1226.03754529827[/C][/ROW]
[ROW][C]0.73[/C][C]50795.9096570859[/C][C]1193.80472436579[/C][/ROW]
[ROW][C]0.74[/C][C]51020.6378133826[/C][C]1163.92960083915[/C][/ROW]
[ROW][C]0.75[/C][C]51242.3314681862[/C][C]1135.1465264079[/C][/ROW]
[ROW][C]0.76[/C][C]51461.0898029554[/C][C]1105.89919711136[/C][/ROW]
[ROW][C]0.77[/C][C]51676.9346303485[/C][C]1075.09546422984[/C][/ROW]
[ROW][C]0.78[/C][C]51889.906302776[/C][C]1042.38250523098[/C][/ROW]
[ROW][C]0.79[/C][C]52100.1865147951[/C][C]1008.61887806515[/C][/ROW]
[ROW][C]0.8[/C][C]52308.2174749091[/C][C]975.614125737482[/C][/ROW]
[ROW][C]0.81[/C][C]52514.7850662599[/C][C]945.642492611558[/C][/ROW]
[ROW][C]0.82[/C][C]52721.0446634481[/C][C]920.926459447273[/C][/ROW]
[ROW][C]0.83[/C][C]52928.4901824443[/C][C]903.057169918653[/C][/ROW]
[ROW][C]0.84[/C][C]53138.8932314115[/C][C]892.395062725873[/C][/ROW]
[ROW][C]0.85[/C][C]53354.2601296996[/C][C]888.392136716473[/C][/ROW]
[ROW][C]0.86[/C][C]53576.8589057413[/C][C]890.215130119052[/C][/ROW]
[ROW][C]0.87[/C][C]53809.3459227551[/C][C]897.403954428878[/C][/ROW]
[ROW][C]0.88[/C][C]54054.9664901392[/C][C]910.761837973172[/C][/ROW]
[ROW][C]0.89[/C][C]54317.7205961237[/C][C]932.596002206806[/C][/ROW]
[ROW][C]0.9[/C][C]54602.3031841181[/C][C]965.749225567119[/C][/ROW]
[ROW][C]0.91[/C][C]54913.6219354899[/C][C]1011.31977382709[/C][/ROW]
[ROW][C]0.92[/C][C]55255.8884212696[/C][C]1065.10979001723[/C][/ROW]
[ROW][C]0.93[/C][C]55631.7766406081[/C][C]1114.65156258875[/C][/ROW]
[ROW][C]0.94[/C][C]56042.7903833928[/C][C]1140.61071504455[/C][/ROW]
[ROW][C]0.95[/C][C]56491.9221781297[/C][C]1127.13494189088[/C][/ROW]
[ROW][C]0.96[/C][C]56987.1847913874[/C][C]1085.32971541676[/C][/ROW]
[ROW][C]0.97[/C][C]57538.5506043116[/C][C]1082.68985537265[/C][/ROW]
[ROW][C]0.98[/C][C]58135.7898479023[/C][C]1220.20339355706[/C][/ROW]
[ROW][C]0.99[/C][C]58706.5100850322[/C][C]1495.9127733512[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0122325.2973736913782.240600827336
0.0222677.7238059121823.04389751668
0.0323125.30510807181083.26608542702
0.0423652.01269317321465.68489241783
0.0524251.51117598311820.10761535114
0.0624906.36585018422047.85090097351
0.0725584.7889016732115.98179143504
0.0826250.20002094552046.19024343437
0.0926872.55797130351890.97263783879
0.127434.83423135361708.82446895396
0.1127933.58192125271546.83039569585
0.1228375.59525007271432.6648210725
0.1328773.22309664411374.22976701694
0.1429140.17835800751364.66199874501
0.1529488.68341415131389.60896933643
0.1629828.0330652981433.76968514456
0.1730164.26498471311484.26920748094
0.1830500.52423444251531.9467982178
0.1930837.76132650381571.2937150635
0.231175.50930695921599.98956470234
0.2131512.58814593161618.1531074776
0.2231847.66384762621627.59936117792
0.2332179.64295311321631.2334633243
0.2432507.91451623911632.38687681449
0.2532832.46625469611634.63116415631
0.2633153.90441598251641.36666242371
0.2733473.40291071461655.8333472927
0.2833792.60106841471680.51638211389
0.2934113.4645071281717.26122468463
0.334438.12188023981766.588091683
0.3134768.69155676861828.02876284576
0.3235107.11500452961899.66361028071
0.3335455.01553721261978.89781911786
0.3435813.60019532892062.43319160456
0.3536183.61786737242147.13124810364
0.3636565.37859302092230.01104235156
0.3736958.82873473212309.34432484942
0.3837363.66647762922384.1160412722
0.3937779.4741785112454.52372752317
0.438205.84027371782521.73257377773
0.4138642.44477430962587.15473278758
0.4239089.08877365162652.41742543109
0.4339545.65877512212718.53845770477
0.4440012.02911017122785.24653283816
0.4540487.91792565522851.05299636242
0.4640972.72188151662913.21865247159
0.4741465.36001797172967.4774836765
0.4841964.15726738833009.15083915479
0.4942466.79284208223033.44141929547
0.542970.32921398983036.0437593288
0.5143471.3253059293013.9607986926
0.5243966.02486355022965.5453347794
0.5344450.59974668342891.14721641394
0.5444921.41967282462792.89882692694
0.5545375.31580854962674.69109423571
0.5645809.80596962872541.56661364797
0.5746223.25392613652399.64753567411
0.5846614.94380423632255.42898266224
0.5946985.06181274232114.95024024067
0.647334.59011626231983.45795992075
0.6147665.12992732991864.88757142927
0.6247978.68089799531761.33896895888
0.6348277.40980280721673.03827953506
0.6448563.4418916821598.54799579904
0.6548838.70259814561535.35140383638
0.6649104.8262080271480.42277002972
0.6749363.13368900441430.88601697676
0.6849614.66732272321384.83294700363
0.6949860.25866449061341.22942211491
0.750100.6017261931299.94388409656
0.7150336.30662888241261.40320725224
0.7250567.91955971151226.03754529827
0.7350795.90965708591193.80472436579
0.7451020.63781338261163.92960083915
0.7551242.33146818621135.1465264079
0.7651461.08980295541105.89919711136
0.7751676.93463034851075.09546422984
0.7851889.9063027761042.38250523098
0.7952100.18651479511008.61887806515
0.852308.2174749091975.614125737482
0.8152514.7850662599945.642492611558
0.8252721.0446634481920.926459447273
0.8352928.4901824443903.057169918653
0.8453138.8932314115892.395062725873
0.8553354.2601296996888.392136716473
0.8653576.8589057413890.215130119052
0.8753809.3459227551897.403954428878
0.8854054.9664901392910.761837973172
0.8954317.7205961237932.596002206806
0.954602.3031841181965.749225567119
0.9154913.62193548991011.31977382709
0.9255255.88842126961065.10979001723
0.9355631.77664060811114.65156258875
0.9456042.79038339281140.61071504455
0.9556491.92217812971127.13494189088
0.9656987.18479138741085.32971541676
0.9757538.55060431161082.68985537265
0.9858135.78984790231220.20339355706
0.9958706.51008503221495.9127733512


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')