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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 22:13:02 +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/t1475788424iqmu6ccdqdgteyk.htm/, Retrieved Sat, 04 May 2024 18:31:28 +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 18:31:28 +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 
84543
55735
65814
55382
57422
57729
48213
44789
50998
50328
47719
19946
80608
50747
61687
47539
54412
83362
36911
39254
37597
32557
35537
21500
56125
37432
43347
36870
36247
41293
36190
33381
36609
41861
45926
45079
51469
39013
37036
34865
37505
39379
35653
30515
35984
41068
37851
40333
56004
39797
37960
34357
35069
45299
40475
36277
41910
45234
46425
73241

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=&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=&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120827.66980495182844.00195687467
0.0222472.52443464654438.47970490347
0.0324589.55684997065246.15236022367
0.0426803.69338708485095.5837207967
0.0528820.20430460384347.21915872786
0.0630487.09880628423431.03596568106
0.0731778.21127061762619.28416149495
0.0832742.43892896372007.79998911262
0.0933455.3479589191584.02575646912
0.133988.91035004541296.74406687699
0.1134399.20274848671097.43313419392
0.1234725.3429005683953.217482291747
0.1334993.0904355669844.811582650731
0.1435219.1357447145761.186204626709
0.1535414.4804384238695.897774597429
0.1635586.6678382451644.647193509784
0.1735741.1279780082604.795279604175
0.1835881.9615546931574.642793966717
0.1936012.3981231911553.249068754102
0.236135.0678012766539.70647476618
0.2136252.1635652872533.511591769812
0.2236365.5393731072533.826128974803
0.2336476.7740044132539.767276691787
0.2436587.2210432309550.698422365531
0.2536698.0569947783566.038112998552
0.2636810.331404804585.597360015902
0.2736925.0161334408609.622409143432
0.2837043.0468719797638.376841342082
0.2937165.3491472284672.382943455851
0.337292.84315287711.765534016687
0.3137426.4258497028756.637678761847
0.3237566.9336402949806.491215206084
0.3337715.0933064705860.407007315921
0.3437871.4718029394917.141693698862
0.3538036.4363215329974.958843436931
0.3638210.13462483181032.38908583213
0.3738392.50228116491087.91529569761
0.3838583.29875710851140.55288693616
0.3938782.16919778431189.71627606034
0.438988.72405194261235.66786657979
0.4139202.62525315581279.05457719274
0.4239423.66596987381321.25775002701
0.4339651.83119219751363.86412683407
0.4439887.32854401511408.59325574079
0.4540130.58238472231457.10793632521
0.4640382.18904774691510.47319232597
0.4740642.83643409091569.09676400772
0.4840913.19657106771632.42729069956
0.4941193.80453979261699.19901524526
0.541484.94069651831766.98054433927
0.5141786.53467794361832.89569379964
0.5242098.10870259891893.71000485725
0.5342418.7738385241946.37418929766
0.5442747.28632660061988.20252150999
0.5543082.16242187422017.75200721869
0.5643421.84079839312034.72330537054
0.5743764.87300778872040.39675693122
0.5844110.11651486382037.35567661292
0.5944456.90285654562029.43976449652
0.644805.1561846872021.2222304849
0.6145155.44461904222017.39431287582
0.6245508.95724860082022.25894643615
0.6345867.41131128822038.96720847561
0.6446232.90472050772069.21340399395
0.6546607.73648151852113.24274629834
0.6646994.2200467162169.79955897123
0.6747394.51168761422236.59537953602
0.6847810.46813580762310.67389207233
0.6948243.53696382532388.94703107697
0.748694.67242367262468.34134737088
0.7149164.26233657042545.77755249757
0.7249652.05157235492618.1955572298
0.7350157.05691851682682.20289387434
0.7450677.48667803592733.84063396448
0.7551210.70303500072768.51133355334
0.7651753.28984984852781.42963276628
0.7752301.30478687112768.61082644362
0.7852850.79431266572728.01671232469
0.7953398.62772524522661.56460464704
0.853943.66170332272576.89170329722
0.8154488.18554338292488.91921413645
0.8255039.52933996882421.10962124374
0.8355611.65372401572405.58523983663
0.8456226.4874923152480.57384603869
0.8556914.73818726832683.97210402971
0.8657715.8618743453044.45345547737
0.8758676.8293108033574.70170005563
0.8859849.26050590094268.9227993981
0.8961284.43961404825100.48295211384
0.963025.74545896666017.27635921397
0.9165098.30363468986935.490550726
0.9267496.42614513097735.66940177321
0.9370170.86424003258266.56345778472
0.9473019.94927244298363.99535967419
0.9575890.44701476737891.43231546911
0.9678593.434186876801.18035367245
0.9780935.46714909335201.18533876928
0.9882756.42117457113397.75575061
0.9983960.90707587781883.33318582702

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20827.6698049518 & 2844.00195687467 \tabularnewline
0.02 & 22472.5244346465 & 4438.47970490347 \tabularnewline
0.03 & 24589.5568499706 & 5246.15236022367 \tabularnewline
0.04 & 26803.6933870848 & 5095.5837207967 \tabularnewline
0.05 & 28820.2043046038 & 4347.21915872786 \tabularnewline
0.06 & 30487.0988062842 & 3431.03596568106 \tabularnewline
0.07 & 31778.2112706176 & 2619.28416149495 \tabularnewline
0.08 & 32742.4389289637 & 2007.79998911262 \tabularnewline
0.09 & 33455.347958919 & 1584.02575646912 \tabularnewline
0.1 & 33988.9103500454 & 1296.74406687699 \tabularnewline
0.11 & 34399.2027484867 & 1097.43313419392 \tabularnewline
0.12 & 34725.3429005683 & 953.217482291747 \tabularnewline
0.13 & 34993.0904355669 & 844.811582650731 \tabularnewline
0.14 & 35219.1357447145 & 761.186204626709 \tabularnewline
0.15 & 35414.4804384238 & 695.897774597429 \tabularnewline
0.16 & 35586.6678382451 & 644.647193509784 \tabularnewline
0.17 & 35741.1279780082 & 604.795279604175 \tabularnewline
0.18 & 35881.9615546931 & 574.642793966717 \tabularnewline
0.19 & 36012.3981231911 & 553.249068754102 \tabularnewline
0.2 & 36135.0678012766 & 539.70647476618 \tabularnewline
0.21 & 36252.1635652872 & 533.511591769812 \tabularnewline
0.22 & 36365.5393731072 & 533.826128974803 \tabularnewline
0.23 & 36476.7740044132 & 539.767276691787 \tabularnewline
0.24 & 36587.2210432309 & 550.698422365531 \tabularnewline
0.25 & 36698.0569947783 & 566.038112998552 \tabularnewline
0.26 & 36810.331404804 & 585.597360015902 \tabularnewline
0.27 & 36925.0161334408 & 609.622409143432 \tabularnewline
0.28 & 37043.0468719797 & 638.376841342082 \tabularnewline
0.29 & 37165.3491472284 & 672.382943455851 \tabularnewline
0.3 & 37292.84315287 & 711.765534016687 \tabularnewline
0.31 & 37426.4258497028 & 756.637678761847 \tabularnewline
0.32 & 37566.9336402949 & 806.491215206084 \tabularnewline
0.33 & 37715.0933064705 & 860.407007315921 \tabularnewline
0.34 & 37871.4718029394 & 917.141693698862 \tabularnewline
0.35 & 38036.4363215329 & 974.958843436931 \tabularnewline
0.36 & 38210.1346248318 & 1032.38908583213 \tabularnewline
0.37 & 38392.5022811649 & 1087.91529569761 \tabularnewline
0.38 & 38583.2987571085 & 1140.55288693616 \tabularnewline
0.39 & 38782.1691977843 & 1189.71627606034 \tabularnewline
0.4 & 38988.7240519426 & 1235.66786657979 \tabularnewline
0.41 & 39202.6252531558 & 1279.05457719274 \tabularnewline
0.42 & 39423.6659698738 & 1321.25775002701 \tabularnewline
0.43 & 39651.8311921975 & 1363.86412683407 \tabularnewline
0.44 & 39887.3285440151 & 1408.59325574079 \tabularnewline
0.45 & 40130.5823847223 & 1457.10793632521 \tabularnewline
0.46 & 40382.1890477469 & 1510.47319232597 \tabularnewline
0.47 & 40642.8364340909 & 1569.09676400772 \tabularnewline
0.48 & 40913.1965710677 & 1632.42729069956 \tabularnewline
0.49 & 41193.8045397926 & 1699.19901524526 \tabularnewline
0.5 & 41484.9406965183 & 1766.98054433927 \tabularnewline
0.51 & 41786.5346779436 & 1832.89569379964 \tabularnewline
0.52 & 42098.1087025989 & 1893.71000485725 \tabularnewline
0.53 & 42418.773838524 & 1946.37418929766 \tabularnewline
0.54 & 42747.2863266006 & 1988.20252150999 \tabularnewline
0.55 & 43082.1624218742 & 2017.75200721869 \tabularnewline
0.56 & 43421.8407983931 & 2034.72330537054 \tabularnewline
0.57 & 43764.8730077887 & 2040.39675693122 \tabularnewline
0.58 & 44110.1165148638 & 2037.35567661292 \tabularnewline
0.59 & 44456.9028565456 & 2029.43976449652 \tabularnewline
0.6 & 44805.156184687 & 2021.2222304849 \tabularnewline
0.61 & 45155.4446190422 & 2017.39431287582 \tabularnewline
0.62 & 45508.9572486008 & 2022.25894643615 \tabularnewline
0.63 & 45867.4113112882 & 2038.96720847561 \tabularnewline
0.64 & 46232.9047205077 & 2069.21340399395 \tabularnewline
0.65 & 46607.7364815185 & 2113.24274629834 \tabularnewline
0.66 & 46994.220046716 & 2169.79955897123 \tabularnewline
0.67 & 47394.5116876142 & 2236.59537953602 \tabularnewline
0.68 & 47810.4681358076 & 2310.67389207233 \tabularnewline
0.69 & 48243.5369638253 & 2388.94703107697 \tabularnewline
0.7 & 48694.6724236726 & 2468.34134737088 \tabularnewline
0.71 & 49164.2623365704 & 2545.77755249757 \tabularnewline
0.72 & 49652.0515723549 & 2618.1955572298 \tabularnewline
0.73 & 50157.0569185168 & 2682.20289387434 \tabularnewline
0.74 & 50677.4866780359 & 2733.84063396448 \tabularnewline
0.75 & 51210.7030350007 & 2768.51133355334 \tabularnewline
0.76 & 51753.2898498485 & 2781.42963276628 \tabularnewline
0.77 & 52301.3047868711 & 2768.61082644362 \tabularnewline
0.78 & 52850.7943126657 & 2728.01671232469 \tabularnewline
0.79 & 53398.6277252452 & 2661.56460464704 \tabularnewline
0.8 & 53943.6617033227 & 2576.89170329722 \tabularnewline
0.81 & 54488.1855433829 & 2488.91921413645 \tabularnewline
0.82 & 55039.5293399688 & 2421.10962124374 \tabularnewline
0.83 & 55611.6537240157 & 2405.58523983663 \tabularnewline
0.84 & 56226.487492315 & 2480.57384603869 \tabularnewline
0.85 & 56914.7381872683 & 2683.97210402971 \tabularnewline
0.86 & 57715.861874345 & 3044.45345547737 \tabularnewline
0.87 & 58676.829310803 & 3574.70170005563 \tabularnewline
0.88 & 59849.2605059009 & 4268.9227993981 \tabularnewline
0.89 & 61284.4396140482 & 5100.48295211384 \tabularnewline
0.9 & 63025.7454589666 & 6017.27635921397 \tabularnewline
0.91 & 65098.3036346898 & 6935.490550726 \tabularnewline
0.92 & 67496.4261451309 & 7735.66940177321 \tabularnewline
0.93 & 70170.8642400325 & 8266.56345778472 \tabularnewline
0.94 & 73019.9492724429 & 8363.99535967419 \tabularnewline
0.95 & 75890.4470147673 & 7891.43231546911 \tabularnewline
0.96 & 78593.43418687 & 6801.18035367245 \tabularnewline
0.97 & 80935.4671490933 & 5201.18533876928 \tabularnewline
0.98 & 82756.4211745711 & 3397.75575061 \tabularnewline
0.99 & 83960.9070758778 & 1883.33318582702 \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]20827.6698049518[/C][C]2844.00195687467[/C][/ROW]
[ROW][C]0.02[/C][C]22472.5244346465[/C][C]4438.47970490347[/C][/ROW]
[ROW][C]0.03[/C][C]24589.5568499706[/C][C]5246.15236022367[/C][/ROW]
[ROW][C]0.04[/C][C]26803.6933870848[/C][C]5095.5837207967[/C][/ROW]
[ROW][C]0.05[/C][C]28820.2043046038[/C][C]4347.21915872786[/C][/ROW]
[ROW][C]0.06[/C][C]30487.0988062842[/C][C]3431.03596568106[/C][/ROW]
[ROW][C]0.07[/C][C]31778.2112706176[/C][C]2619.28416149495[/C][/ROW]
[ROW][C]0.08[/C][C]32742.4389289637[/C][C]2007.79998911262[/C][/ROW]
[ROW][C]0.09[/C][C]33455.347958919[/C][C]1584.02575646912[/C][/ROW]
[ROW][C]0.1[/C][C]33988.9103500454[/C][C]1296.74406687699[/C][/ROW]
[ROW][C]0.11[/C][C]34399.2027484867[/C][C]1097.43313419392[/C][/ROW]
[ROW][C]0.12[/C][C]34725.3429005683[/C][C]953.217482291747[/C][/ROW]
[ROW][C]0.13[/C][C]34993.0904355669[/C][C]844.811582650731[/C][/ROW]
[ROW][C]0.14[/C][C]35219.1357447145[/C][C]761.186204626709[/C][/ROW]
[ROW][C]0.15[/C][C]35414.4804384238[/C][C]695.897774597429[/C][/ROW]
[ROW][C]0.16[/C][C]35586.6678382451[/C][C]644.647193509784[/C][/ROW]
[ROW][C]0.17[/C][C]35741.1279780082[/C][C]604.795279604175[/C][/ROW]
[ROW][C]0.18[/C][C]35881.9615546931[/C][C]574.642793966717[/C][/ROW]
[ROW][C]0.19[/C][C]36012.3981231911[/C][C]553.249068754102[/C][/ROW]
[ROW][C]0.2[/C][C]36135.0678012766[/C][C]539.70647476618[/C][/ROW]
[ROW][C]0.21[/C][C]36252.1635652872[/C][C]533.511591769812[/C][/ROW]
[ROW][C]0.22[/C][C]36365.5393731072[/C][C]533.826128974803[/C][/ROW]
[ROW][C]0.23[/C][C]36476.7740044132[/C][C]539.767276691787[/C][/ROW]
[ROW][C]0.24[/C][C]36587.2210432309[/C][C]550.698422365531[/C][/ROW]
[ROW][C]0.25[/C][C]36698.0569947783[/C][C]566.038112998552[/C][/ROW]
[ROW][C]0.26[/C][C]36810.331404804[/C][C]585.597360015902[/C][/ROW]
[ROW][C]0.27[/C][C]36925.0161334408[/C][C]609.622409143432[/C][/ROW]
[ROW][C]0.28[/C][C]37043.0468719797[/C][C]638.376841342082[/C][/ROW]
[ROW][C]0.29[/C][C]37165.3491472284[/C][C]672.382943455851[/C][/ROW]
[ROW][C]0.3[/C][C]37292.84315287[/C][C]711.765534016687[/C][/ROW]
[ROW][C]0.31[/C][C]37426.4258497028[/C][C]756.637678761847[/C][/ROW]
[ROW][C]0.32[/C][C]37566.9336402949[/C][C]806.491215206084[/C][/ROW]
[ROW][C]0.33[/C][C]37715.0933064705[/C][C]860.407007315921[/C][/ROW]
[ROW][C]0.34[/C][C]37871.4718029394[/C][C]917.141693698862[/C][/ROW]
[ROW][C]0.35[/C][C]38036.4363215329[/C][C]974.958843436931[/C][/ROW]
[ROW][C]0.36[/C][C]38210.1346248318[/C][C]1032.38908583213[/C][/ROW]
[ROW][C]0.37[/C][C]38392.5022811649[/C][C]1087.91529569761[/C][/ROW]
[ROW][C]0.38[/C][C]38583.2987571085[/C][C]1140.55288693616[/C][/ROW]
[ROW][C]0.39[/C][C]38782.1691977843[/C][C]1189.71627606034[/C][/ROW]
[ROW][C]0.4[/C][C]38988.7240519426[/C][C]1235.66786657979[/C][/ROW]
[ROW][C]0.41[/C][C]39202.6252531558[/C][C]1279.05457719274[/C][/ROW]
[ROW][C]0.42[/C][C]39423.6659698738[/C][C]1321.25775002701[/C][/ROW]
[ROW][C]0.43[/C][C]39651.8311921975[/C][C]1363.86412683407[/C][/ROW]
[ROW][C]0.44[/C][C]39887.3285440151[/C][C]1408.59325574079[/C][/ROW]
[ROW][C]0.45[/C][C]40130.5823847223[/C][C]1457.10793632521[/C][/ROW]
[ROW][C]0.46[/C][C]40382.1890477469[/C][C]1510.47319232597[/C][/ROW]
[ROW][C]0.47[/C][C]40642.8364340909[/C][C]1569.09676400772[/C][/ROW]
[ROW][C]0.48[/C][C]40913.1965710677[/C][C]1632.42729069956[/C][/ROW]
[ROW][C]0.49[/C][C]41193.8045397926[/C][C]1699.19901524526[/C][/ROW]
[ROW][C]0.5[/C][C]41484.9406965183[/C][C]1766.98054433927[/C][/ROW]
[ROW][C]0.51[/C][C]41786.5346779436[/C][C]1832.89569379964[/C][/ROW]
[ROW][C]0.52[/C][C]42098.1087025989[/C][C]1893.71000485725[/C][/ROW]
[ROW][C]0.53[/C][C]42418.773838524[/C][C]1946.37418929766[/C][/ROW]
[ROW][C]0.54[/C][C]42747.2863266006[/C][C]1988.20252150999[/C][/ROW]
[ROW][C]0.55[/C][C]43082.1624218742[/C][C]2017.75200721869[/C][/ROW]
[ROW][C]0.56[/C][C]43421.8407983931[/C][C]2034.72330537054[/C][/ROW]
[ROW][C]0.57[/C][C]43764.8730077887[/C][C]2040.39675693122[/C][/ROW]
[ROW][C]0.58[/C][C]44110.1165148638[/C][C]2037.35567661292[/C][/ROW]
[ROW][C]0.59[/C][C]44456.9028565456[/C][C]2029.43976449652[/C][/ROW]
[ROW][C]0.6[/C][C]44805.156184687[/C][C]2021.2222304849[/C][/ROW]
[ROW][C]0.61[/C][C]45155.4446190422[/C][C]2017.39431287582[/C][/ROW]
[ROW][C]0.62[/C][C]45508.9572486008[/C][C]2022.25894643615[/C][/ROW]
[ROW][C]0.63[/C][C]45867.4113112882[/C][C]2038.96720847561[/C][/ROW]
[ROW][C]0.64[/C][C]46232.9047205077[/C][C]2069.21340399395[/C][/ROW]
[ROW][C]0.65[/C][C]46607.7364815185[/C][C]2113.24274629834[/C][/ROW]
[ROW][C]0.66[/C][C]46994.220046716[/C][C]2169.79955897123[/C][/ROW]
[ROW][C]0.67[/C][C]47394.5116876142[/C][C]2236.59537953602[/C][/ROW]
[ROW][C]0.68[/C][C]47810.4681358076[/C][C]2310.67389207233[/C][/ROW]
[ROW][C]0.69[/C][C]48243.5369638253[/C][C]2388.94703107697[/C][/ROW]
[ROW][C]0.7[/C][C]48694.6724236726[/C][C]2468.34134737088[/C][/ROW]
[ROW][C]0.71[/C][C]49164.2623365704[/C][C]2545.77755249757[/C][/ROW]
[ROW][C]0.72[/C][C]49652.0515723549[/C][C]2618.1955572298[/C][/ROW]
[ROW][C]0.73[/C][C]50157.0569185168[/C][C]2682.20289387434[/C][/ROW]
[ROW][C]0.74[/C][C]50677.4866780359[/C][C]2733.84063396448[/C][/ROW]
[ROW][C]0.75[/C][C]51210.7030350007[/C][C]2768.51133355334[/C][/ROW]
[ROW][C]0.76[/C][C]51753.2898498485[/C][C]2781.42963276628[/C][/ROW]
[ROW][C]0.77[/C][C]52301.3047868711[/C][C]2768.61082644362[/C][/ROW]
[ROW][C]0.78[/C][C]52850.7943126657[/C][C]2728.01671232469[/C][/ROW]
[ROW][C]0.79[/C][C]53398.6277252452[/C][C]2661.56460464704[/C][/ROW]
[ROW][C]0.8[/C][C]53943.6617033227[/C][C]2576.89170329722[/C][/ROW]
[ROW][C]0.81[/C][C]54488.1855433829[/C][C]2488.91921413645[/C][/ROW]
[ROW][C]0.82[/C][C]55039.5293399688[/C][C]2421.10962124374[/C][/ROW]
[ROW][C]0.83[/C][C]55611.6537240157[/C][C]2405.58523983663[/C][/ROW]
[ROW][C]0.84[/C][C]56226.487492315[/C][C]2480.57384603869[/C][/ROW]
[ROW][C]0.85[/C][C]56914.7381872683[/C][C]2683.97210402971[/C][/ROW]
[ROW][C]0.86[/C][C]57715.861874345[/C][C]3044.45345547737[/C][/ROW]
[ROW][C]0.87[/C][C]58676.829310803[/C][C]3574.70170005563[/C][/ROW]
[ROW][C]0.88[/C][C]59849.2605059009[/C][C]4268.9227993981[/C][/ROW]
[ROW][C]0.89[/C][C]61284.4396140482[/C][C]5100.48295211384[/C][/ROW]
[ROW][C]0.9[/C][C]63025.7454589666[/C][C]6017.27635921397[/C][/ROW]
[ROW][C]0.91[/C][C]65098.3036346898[/C][C]6935.490550726[/C][/ROW]
[ROW][C]0.92[/C][C]67496.4261451309[/C][C]7735.66940177321[/C][/ROW]
[ROW][C]0.93[/C][C]70170.8642400325[/C][C]8266.56345778472[/C][/ROW]
[ROW][C]0.94[/C][C]73019.9492724429[/C][C]8363.99535967419[/C][/ROW]
[ROW][C]0.95[/C][C]75890.4470147673[/C][C]7891.43231546911[/C][/ROW]
[ROW][C]0.96[/C][C]78593.43418687[/C][C]6801.18035367245[/C][/ROW]
[ROW][C]0.97[/C][C]80935.4671490933[/C][C]5201.18533876928[/C][/ROW]
[ROW][C]0.98[/C][C]82756.4211745711[/C][C]3397.75575061[/C][/ROW]
[ROW][C]0.99[/C][C]83960.9070758778[/C][C]1883.33318582702[/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
0.0120827.66980495182844.00195687467
0.0222472.52443464654438.47970490347
0.0324589.55684997065246.15236022367
0.0426803.69338708485095.5837207967
0.0528820.20430460384347.21915872786
0.0630487.09880628423431.03596568106
0.0731778.21127061762619.28416149495
0.0832742.43892896372007.79998911262
0.0933455.3479589191584.02575646912
0.133988.91035004541296.74406687699
0.1134399.20274848671097.43313419392
0.1234725.3429005683953.217482291747
0.1334993.0904355669844.811582650731
0.1435219.1357447145761.186204626709
0.1535414.4804384238695.897774597429
0.1635586.6678382451644.647193509784
0.1735741.1279780082604.795279604175
0.1835881.9615546931574.642793966717
0.1936012.3981231911553.249068754102
0.236135.0678012766539.70647476618
0.2136252.1635652872533.511591769812
0.2236365.5393731072533.826128974803
0.2336476.7740044132539.767276691787
0.2436587.2210432309550.698422365531
0.2536698.0569947783566.038112998552
0.2636810.331404804585.597360015902
0.2736925.0161334408609.622409143432
0.2837043.0468719797638.376841342082
0.2937165.3491472284672.382943455851
0.337292.84315287711.765534016687
0.3137426.4258497028756.637678761847
0.3237566.9336402949806.491215206084
0.3337715.0933064705860.407007315921
0.3437871.4718029394917.141693698862
0.3538036.4363215329974.958843436931
0.3638210.13462483181032.38908583213
0.3738392.50228116491087.91529569761
0.3838583.29875710851140.55288693616
0.3938782.16919778431189.71627606034
0.438988.72405194261235.66786657979
0.4139202.62525315581279.05457719274
0.4239423.66596987381321.25775002701
0.4339651.83119219751363.86412683407
0.4439887.32854401511408.59325574079
0.4540130.58238472231457.10793632521
0.4640382.18904774691510.47319232597
0.4740642.83643409091569.09676400772
0.4840913.19657106771632.42729069956
0.4941193.80453979261699.19901524526
0.541484.94069651831766.98054433927
0.5141786.53467794361832.89569379964
0.5242098.10870259891893.71000485725
0.5342418.7738385241946.37418929766
0.5442747.28632660061988.20252150999
0.5543082.16242187422017.75200721869
0.5643421.84079839312034.72330537054
0.5743764.87300778872040.39675693122
0.5844110.11651486382037.35567661292
0.5944456.90285654562029.43976449652
0.644805.1561846872021.2222304849
0.6145155.44461904222017.39431287582
0.6245508.95724860082022.25894643615
0.6345867.41131128822038.96720847561
0.6446232.90472050772069.21340399395
0.6546607.73648151852113.24274629834
0.6646994.2200467162169.79955897123
0.6747394.51168761422236.59537953602
0.6847810.46813580762310.67389207233
0.6948243.53696382532388.94703107697
0.748694.67242367262468.34134737088
0.7149164.26233657042545.77755249757
0.7249652.05157235492618.1955572298
0.7350157.05691851682682.20289387434
0.7450677.48667803592733.84063396448
0.7551210.70303500072768.51133355334
0.7651753.28984984852781.42963276628
0.7752301.30478687112768.61082644362
0.7852850.79431266572728.01671232469
0.7953398.62772524522661.56460464704
0.853943.66170332272576.89170329722
0.8154488.18554338292488.91921413645
0.8255039.52933996882421.10962124374
0.8355611.65372401572405.58523983663
0.8456226.4874923152480.57384603869
0.8556914.73818726832683.97210402971
0.8657715.8618743453044.45345547737
0.8758676.8293108033574.70170005563
0.8859849.26050590094268.9227993981
0.8961284.43961404825100.48295211384
0.963025.74545896666017.27635921397
0.9165098.30363468986935.490550726
0.9267496.42614513097735.66940177321
0.9370170.86424003258266.56345778472
0.9473019.94927244298363.99535967419
0.9575890.44701476737891.43231546911
0.9678593.434186876801.18035367245
0.9780935.46714909335201.18533876928
0.9882756.42117457113397.75575061
0.9983960.90707587781883.33318582702


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')