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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 computationTue, 01 Mar 2016 17:49:14 +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/2016/Mar/01/t14568545979ve6e3r2qd8onlg.htm/, Retrieved Tue, 07 May 2024 06:00:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293202, Retrieved Tue, 07 May 2024 06:00:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

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] [] [2016-03-01 17:49:14] [f8975010d6e80ebfdd11eb899305ce74] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
38552
33618
31499
33892
137561
37134
32710
32520
33419
135783
35003
34417
32359
35703
137482
38632
33577
33277
35001
140487
38296
34179
32791
35261
140527
36789
35036
33004
35548
140377
38485
34675
33081
36114
142355
37524
34600
33795
36017
141936
37009
32877
32505
34162
136553
38591
33550
30753
33508
136402
36327
33230
32971
32844
135372
35124
32243
30840
34815
133022
36308
33138
31425
34265
135136
37612
31846
31065
33712
134235
36031
32909
32204
34914
136058
34888
33242
32316
35295
135741
37800
34540
32614
35859
140813
39866
34609
32375
34395
141245
35348
33221
33892
36762
139223
41775
35118
33963

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293202&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293202&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293202&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0130834.5513400918170.459991181287
0.0230998.9955453857289.99471771582
0.0331210.2584275055367.722261992262
0.0431434.9912126486403.129914183693
0.0531651.3426751875406.546654802022
0.0631846.4644237737380.521327085534
0.0732013.401640658332.869551790142
0.0832150.4653050627279.494380384266
0.0932260.9483278379236.050921483619
0.132351.364870113210.247767384709
0.1132428.8408751737200.47506219691
0.1232499.0898151132200.172422513105
0.1332565.6387293295202.989567559589
0.1432630.0755270118205.052182244238
0.1532692.7563909257204.841880503046
0.1632753.5185476017202.661607288493
0.1732812.1760047164199.622381324366
0.1832868.7582469837197.135910783652
0.1932923.5487542665195.990120277623
0.232977.0116784477196.704689878985
0.2133029.686523468199.286903032456
0.2233082.1020926931203.580759848796
0.2333134.7285050073209.258497747943
0.2433187.9620222143216.056930318605
0.2533242.1274459834223.936335934318
0.2633297.4850719735232.726540917311
0.2733354.2369245708242.117659731101
0.2833412.5333102302251.959178191238
0.2933472.4821117549262.006109783111
0.333534.1604514311272.238026104315
0.3133597.6246622624282.729074881626
0.3233662.9130814495293.377118466039
0.3333730.0381879419304.008522107647
0.3433798.9689698106314.459301747057
0.3533869.6088427827324.271677939079
0.3633941.7768682149332.963367533938
0.3734015.199517551339.991720115778
0.3834089.5172196984344.970642334849
0.3934164.3057317663347.604403632797
0.434239.1085571606347.903216392595
0.4134313.4744251764345.912106711344
0.4234386.9937850676341.880293918613
0.4334459.330115706336.296894982431
0.4434530.244716092329.805310840446
0.4534599.6162900706322.781132358112
0.4634667.457934817315.924963395344
0.4734733.9334806747309.977890905734
0.4834799.372707356305.773870108595
0.4934864.2817679278304.273879942995
0.534929.3426435329306.224748682421
0.5134995.3950130838312.729010619657
0.5235063.3963101623324.080649163091
0.5335134.3607172299340.469900831808
0.5435209.2841506356361.502571184463
0.5535289.0679562877386.373412468304
0.5635374.4570176898413.976353057636
0.5735466.0068807012443.224269077412
0.5835564.0892490691472.962758525168
0.5935668.9374653836502.729989497683
0.635780.7268273183532.335756793094
0.6135899.6838044154562.289716093988
0.6236026.2295574332593.604266739026
0.6336161.1934930041628.179733663614
0.6436306.1888753691669.184130317668
0.6536464.3298645939723.227615651477
0.6636641.5856565785802.790916488123
0.6736849.1924491047933.249786358465
0.6837107.62309647881161.82311655603
0.6937452.54326402261567.29620142075
0.737942.81011931442265.20254102302
0.7138669.74086785293406.42833125411
0.7239765.54359913185167.67710450607
0.7341407.17422864237725.70464931638
0.7443810.574790035811209.9082475445
0.7547210.259853988915635.5424617524
0.7651821.617090450120833.3194939317
0.7757788.556408974526402.9788977457
0.7865126.407614302731721.47257896
0.7973676.62999088536027.6202926626
0.883092.225995485438581.0368314281
0.8192867.619845492338856.9593405084
0.82102413.90123816936712.4637647931
0.83111163.6806349532456.1570339141
0.84118676.5499668126783.2972876667
0.85124713.3120022220591.3622333148
0.86129257.33629398914744.313510273
0.87132480.5670356599871.55560754163
0.88134670.8943988366271.16640616779
0.89136148.0422037193932.86643478295
0.9137193.3977311512633.04142815748
0.91138008.7722085322023.00571263141
0.92138707.0340728591728.01083003789
0.93139329.1654783511489.97981968981
0.94139877.8204430441215.36082921002
0.95140354.167949774932.945629103871
0.96140782.076618559727.840830119228
0.97141205.442401399647.970370347757
0.98141654.090131304614.819952814893
0.99142086.878916347512.096052703709

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 30834.5513400918 & 170.459991181287 \tabularnewline
0.02 & 30998.9955453857 & 289.99471771582 \tabularnewline
0.03 & 31210.2584275055 & 367.722261992262 \tabularnewline
0.04 & 31434.9912126486 & 403.129914183693 \tabularnewline
0.05 & 31651.3426751875 & 406.546654802022 \tabularnewline
0.06 & 31846.4644237737 & 380.521327085534 \tabularnewline
0.07 & 32013.401640658 & 332.869551790142 \tabularnewline
0.08 & 32150.4653050627 & 279.494380384266 \tabularnewline
0.09 & 32260.9483278379 & 236.050921483619 \tabularnewline
0.1 & 32351.364870113 & 210.247767384709 \tabularnewline
0.11 & 32428.8408751737 & 200.47506219691 \tabularnewline
0.12 & 32499.0898151132 & 200.172422513105 \tabularnewline
0.13 & 32565.6387293295 & 202.989567559589 \tabularnewline
0.14 & 32630.0755270118 & 205.052182244238 \tabularnewline
0.15 & 32692.7563909257 & 204.841880503046 \tabularnewline
0.16 & 32753.5185476017 & 202.661607288493 \tabularnewline
0.17 & 32812.1760047164 & 199.622381324366 \tabularnewline
0.18 & 32868.7582469837 & 197.135910783652 \tabularnewline
0.19 & 32923.5487542665 & 195.990120277623 \tabularnewline
0.2 & 32977.0116784477 & 196.704689878985 \tabularnewline
0.21 & 33029.686523468 & 199.286903032456 \tabularnewline
0.22 & 33082.1020926931 & 203.580759848796 \tabularnewline
0.23 & 33134.7285050073 & 209.258497747943 \tabularnewline
0.24 & 33187.9620222143 & 216.056930318605 \tabularnewline
0.25 & 33242.1274459834 & 223.936335934318 \tabularnewline
0.26 & 33297.4850719735 & 232.726540917311 \tabularnewline
0.27 & 33354.2369245708 & 242.117659731101 \tabularnewline
0.28 & 33412.5333102302 & 251.959178191238 \tabularnewline
0.29 & 33472.4821117549 & 262.006109783111 \tabularnewline
0.3 & 33534.1604514311 & 272.238026104315 \tabularnewline
0.31 & 33597.6246622624 & 282.729074881626 \tabularnewline
0.32 & 33662.9130814495 & 293.377118466039 \tabularnewline
0.33 & 33730.0381879419 & 304.008522107647 \tabularnewline
0.34 & 33798.9689698106 & 314.459301747057 \tabularnewline
0.35 & 33869.6088427827 & 324.271677939079 \tabularnewline
0.36 & 33941.7768682149 & 332.963367533938 \tabularnewline
0.37 & 34015.199517551 & 339.991720115778 \tabularnewline
0.38 & 34089.5172196984 & 344.970642334849 \tabularnewline
0.39 & 34164.3057317663 & 347.604403632797 \tabularnewline
0.4 & 34239.1085571606 & 347.903216392595 \tabularnewline
0.41 & 34313.4744251764 & 345.912106711344 \tabularnewline
0.42 & 34386.9937850676 & 341.880293918613 \tabularnewline
0.43 & 34459.330115706 & 336.296894982431 \tabularnewline
0.44 & 34530.244716092 & 329.805310840446 \tabularnewline
0.45 & 34599.6162900706 & 322.781132358112 \tabularnewline
0.46 & 34667.457934817 & 315.924963395344 \tabularnewline
0.47 & 34733.9334806747 & 309.977890905734 \tabularnewline
0.48 & 34799.372707356 & 305.773870108595 \tabularnewline
0.49 & 34864.2817679278 & 304.273879942995 \tabularnewline
0.5 & 34929.3426435329 & 306.224748682421 \tabularnewline
0.51 & 34995.3950130838 & 312.729010619657 \tabularnewline
0.52 & 35063.3963101623 & 324.080649163091 \tabularnewline
0.53 & 35134.3607172299 & 340.469900831808 \tabularnewline
0.54 & 35209.2841506356 & 361.502571184463 \tabularnewline
0.55 & 35289.0679562877 & 386.373412468304 \tabularnewline
0.56 & 35374.4570176898 & 413.976353057636 \tabularnewline
0.57 & 35466.0068807012 & 443.224269077412 \tabularnewline
0.58 & 35564.0892490691 & 472.962758525168 \tabularnewline
0.59 & 35668.9374653836 & 502.729989497683 \tabularnewline
0.6 & 35780.7268273183 & 532.335756793094 \tabularnewline
0.61 & 35899.6838044154 & 562.289716093988 \tabularnewline
0.62 & 36026.2295574332 & 593.604266739026 \tabularnewline
0.63 & 36161.1934930041 & 628.179733663614 \tabularnewline
0.64 & 36306.1888753691 & 669.184130317668 \tabularnewline
0.65 & 36464.3298645939 & 723.227615651477 \tabularnewline
0.66 & 36641.5856565785 & 802.790916488123 \tabularnewline
0.67 & 36849.1924491047 & 933.249786358465 \tabularnewline
0.68 & 37107.6230964788 & 1161.82311655603 \tabularnewline
0.69 & 37452.5432640226 & 1567.29620142075 \tabularnewline
0.7 & 37942.8101193144 & 2265.20254102302 \tabularnewline
0.71 & 38669.7408678529 & 3406.42833125411 \tabularnewline
0.72 & 39765.5435991318 & 5167.67710450607 \tabularnewline
0.73 & 41407.1742286423 & 7725.70464931638 \tabularnewline
0.74 & 43810.5747900358 & 11209.9082475445 \tabularnewline
0.75 & 47210.2598539889 & 15635.5424617524 \tabularnewline
0.76 & 51821.6170904501 & 20833.3194939317 \tabularnewline
0.77 & 57788.5564089745 & 26402.9788977457 \tabularnewline
0.78 & 65126.4076143027 & 31721.47257896 \tabularnewline
0.79 & 73676.629990885 & 36027.6202926626 \tabularnewline
0.8 & 83092.2259954854 & 38581.0368314281 \tabularnewline
0.81 & 92867.6198454923 & 38856.9593405084 \tabularnewline
0.82 & 102413.901238169 & 36712.4637647931 \tabularnewline
0.83 & 111163.68063495 & 32456.1570339141 \tabularnewline
0.84 & 118676.54996681 & 26783.2972876667 \tabularnewline
0.85 & 124713.31200222 & 20591.3622333148 \tabularnewline
0.86 & 129257.336293989 & 14744.313510273 \tabularnewline
0.87 & 132480.567035659 & 9871.55560754163 \tabularnewline
0.88 & 134670.894398836 & 6271.16640616779 \tabularnewline
0.89 & 136148.042203719 & 3932.86643478295 \tabularnewline
0.9 & 137193.397731151 & 2633.04142815748 \tabularnewline
0.91 & 138008.772208532 & 2023.00571263141 \tabularnewline
0.92 & 138707.034072859 & 1728.01083003789 \tabularnewline
0.93 & 139329.165478351 & 1489.97981968981 \tabularnewline
0.94 & 139877.820443044 & 1215.36082921002 \tabularnewline
0.95 & 140354.167949774 & 932.945629103871 \tabularnewline
0.96 & 140782.076618559 & 727.840830119228 \tabularnewline
0.97 & 141205.442401399 & 647.970370347757 \tabularnewline
0.98 & 141654.090131304 & 614.819952814893 \tabularnewline
0.99 & 142086.878916347 & 512.096052703709 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293202&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]30834.5513400918[/C][C]170.459991181287[/C][/ROW]
[ROW][C]0.02[/C][C]30998.9955453857[/C][C]289.99471771582[/C][/ROW]
[ROW][C]0.03[/C][C]31210.2584275055[/C][C]367.722261992262[/C][/ROW]
[ROW][C]0.04[/C][C]31434.9912126486[/C][C]403.129914183693[/C][/ROW]
[ROW][C]0.05[/C][C]31651.3426751875[/C][C]406.546654802022[/C][/ROW]
[ROW][C]0.06[/C][C]31846.4644237737[/C][C]380.521327085534[/C][/ROW]
[ROW][C]0.07[/C][C]32013.401640658[/C][C]332.869551790142[/C][/ROW]
[ROW][C]0.08[/C][C]32150.4653050627[/C][C]279.494380384266[/C][/ROW]
[ROW][C]0.09[/C][C]32260.9483278379[/C][C]236.050921483619[/C][/ROW]
[ROW][C]0.1[/C][C]32351.364870113[/C][C]210.247767384709[/C][/ROW]
[ROW][C]0.11[/C][C]32428.8408751737[/C][C]200.47506219691[/C][/ROW]
[ROW][C]0.12[/C][C]32499.0898151132[/C][C]200.172422513105[/C][/ROW]
[ROW][C]0.13[/C][C]32565.6387293295[/C][C]202.989567559589[/C][/ROW]
[ROW][C]0.14[/C][C]32630.0755270118[/C][C]205.052182244238[/C][/ROW]
[ROW][C]0.15[/C][C]32692.7563909257[/C][C]204.841880503046[/C][/ROW]
[ROW][C]0.16[/C][C]32753.5185476017[/C][C]202.661607288493[/C][/ROW]
[ROW][C]0.17[/C][C]32812.1760047164[/C][C]199.622381324366[/C][/ROW]
[ROW][C]0.18[/C][C]32868.7582469837[/C][C]197.135910783652[/C][/ROW]
[ROW][C]0.19[/C][C]32923.5487542665[/C][C]195.990120277623[/C][/ROW]
[ROW][C]0.2[/C][C]32977.0116784477[/C][C]196.704689878985[/C][/ROW]
[ROW][C]0.21[/C][C]33029.686523468[/C][C]199.286903032456[/C][/ROW]
[ROW][C]0.22[/C][C]33082.1020926931[/C][C]203.580759848796[/C][/ROW]
[ROW][C]0.23[/C][C]33134.7285050073[/C][C]209.258497747943[/C][/ROW]
[ROW][C]0.24[/C][C]33187.9620222143[/C][C]216.056930318605[/C][/ROW]
[ROW][C]0.25[/C][C]33242.1274459834[/C][C]223.936335934318[/C][/ROW]
[ROW][C]0.26[/C][C]33297.4850719735[/C][C]232.726540917311[/C][/ROW]
[ROW][C]0.27[/C][C]33354.2369245708[/C][C]242.117659731101[/C][/ROW]
[ROW][C]0.28[/C][C]33412.5333102302[/C][C]251.959178191238[/C][/ROW]
[ROW][C]0.29[/C][C]33472.4821117549[/C][C]262.006109783111[/C][/ROW]
[ROW][C]0.3[/C][C]33534.1604514311[/C][C]272.238026104315[/C][/ROW]
[ROW][C]0.31[/C][C]33597.6246622624[/C][C]282.729074881626[/C][/ROW]
[ROW][C]0.32[/C][C]33662.9130814495[/C][C]293.377118466039[/C][/ROW]
[ROW][C]0.33[/C][C]33730.0381879419[/C][C]304.008522107647[/C][/ROW]
[ROW][C]0.34[/C][C]33798.9689698106[/C][C]314.459301747057[/C][/ROW]
[ROW][C]0.35[/C][C]33869.6088427827[/C][C]324.271677939079[/C][/ROW]
[ROW][C]0.36[/C][C]33941.7768682149[/C][C]332.963367533938[/C][/ROW]
[ROW][C]0.37[/C][C]34015.199517551[/C][C]339.991720115778[/C][/ROW]
[ROW][C]0.38[/C][C]34089.5172196984[/C][C]344.970642334849[/C][/ROW]
[ROW][C]0.39[/C][C]34164.3057317663[/C][C]347.604403632797[/C][/ROW]
[ROW][C]0.4[/C][C]34239.1085571606[/C][C]347.903216392595[/C][/ROW]
[ROW][C]0.41[/C][C]34313.4744251764[/C][C]345.912106711344[/C][/ROW]
[ROW][C]0.42[/C][C]34386.9937850676[/C][C]341.880293918613[/C][/ROW]
[ROW][C]0.43[/C][C]34459.330115706[/C][C]336.296894982431[/C][/ROW]
[ROW][C]0.44[/C][C]34530.244716092[/C][C]329.805310840446[/C][/ROW]
[ROW][C]0.45[/C][C]34599.6162900706[/C][C]322.781132358112[/C][/ROW]
[ROW][C]0.46[/C][C]34667.457934817[/C][C]315.924963395344[/C][/ROW]
[ROW][C]0.47[/C][C]34733.9334806747[/C][C]309.977890905734[/C][/ROW]
[ROW][C]0.48[/C][C]34799.372707356[/C][C]305.773870108595[/C][/ROW]
[ROW][C]0.49[/C][C]34864.2817679278[/C][C]304.273879942995[/C][/ROW]
[ROW][C]0.5[/C][C]34929.3426435329[/C][C]306.224748682421[/C][/ROW]
[ROW][C]0.51[/C][C]34995.3950130838[/C][C]312.729010619657[/C][/ROW]
[ROW][C]0.52[/C][C]35063.3963101623[/C][C]324.080649163091[/C][/ROW]
[ROW][C]0.53[/C][C]35134.3607172299[/C][C]340.469900831808[/C][/ROW]
[ROW][C]0.54[/C][C]35209.2841506356[/C][C]361.502571184463[/C][/ROW]
[ROW][C]0.55[/C][C]35289.0679562877[/C][C]386.373412468304[/C][/ROW]
[ROW][C]0.56[/C][C]35374.4570176898[/C][C]413.976353057636[/C][/ROW]
[ROW][C]0.57[/C][C]35466.0068807012[/C][C]443.224269077412[/C][/ROW]
[ROW][C]0.58[/C][C]35564.0892490691[/C][C]472.962758525168[/C][/ROW]
[ROW][C]0.59[/C][C]35668.9374653836[/C][C]502.729989497683[/C][/ROW]
[ROW][C]0.6[/C][C]35780.7268273183[/C][C]532.335756793094[/C][/ROW]
[ROW][C]0.61[/C][C]35899.6838044154[/C][C]562.289716093988[/C][/ROW]
[ROW][C]0.62[/C][C]36026.2295574332[/C][C]593.604266739026[/C][/ROW]
[ROW][C]0.63[/C][C]36161.1934930041[/C][C]628.179733663614[/C][/ROW]
[ROW][C]0.64[/C][C]36306.1888753691[/C][C]669.184130317668[/C][/ROW]
[ROW][C]0.65[/C][C]36464.3298645939[/C][C]723.227615651477[/C][/ROW]
[ROW][C]0.66[/C][C]36641.5856565785[/C][C]802.790916488123[/C][/ROW]
[ROW][C]0.67[/C][C]36849.1924491047[/C][C]933.249786358465[/C][/ROW]
[ROW][C]0.68[/C][C]37107.6230964788[/C][C]1161.82311655603[/C][/ROW]
[ROW][C]0.69[/C][C]37452.5432640226[/C][C]1567.29620142075[/C][/ROW]
[ROW][C]0.7[/C][C]37942.8101193144[/C][C]2265.20254102302[/C][/ROW]
[ROW][C]0.71[/C][C]38669.7408678529[/C][C]3406.42833125411[/C][/ROW]
[ROW][C]0.72[/C][C]39765.5435991318[/C][C]5167.67710450607[/C][/ROW]
[ROW][C]0.73[/C][C]41407.1742286423[/C][C]7725.70464931638[/C][/ROW]
[ROW][C]0.74[/C][C]43810.5747900358[/C][C]11209.9082475445[/C][/ROW]
[ROW][C]0.75[/C][C]47210.2598539889[/C][C]15635.5424617524[/C][/ROW]
[ROW][C]0.76[/C][C]51821.6170904501[/C][C]20833.3194939317[/C][/ROW]
[ROW][C]0.77[/C][C]57788.5564089745[/C][C]26402.9788977457[/C][/ROW]
[ROW][C]0.78[/C][C]65126.4076143027[/C][C]31721.47257896[/C][/ROW]
[ROW][C]0.79[/C][C]73676.629990885[/C][C]36027.6202926626[/C][/ROW]
[ROW][C]0.8[/C][C]83092.2259954854[/C][C]38581.0368314281[/C][/ROW]
[ROW][C]0.81[/C][C]92867.6198454923[/C][C]38856.9593405084[/C][/ROW]
[ROW][C]0.82[/C][C]102413.901238169[/C][C]36712.4637647931[/C][/ROW]
[ROW][C]0.83[/C][C]111163.68063495[/C][C]32456.1570339141[/C][/ROW]
[ROW][C]0.84[/C][C]118676.54996681[/C][C]26783.2972876667[/C][/ROW]
[ROW][C]0.85[/C][C]124713.31200222[/C][C]20591.3622333148[/C][/ROW]
[ROW][C]0.86[/C][C]129257.336293989[/C][C]14744.313510273[/C][/ROW]
[ROW][C]0.87[/C][C]132480.567035659[/C][C]9871.55560754163[/C][/ROW]
[ROW][C]0.88[/C][C]134670.894398836[/C][C]6271.16640616779[/C][/ROW]
[ROW][C]0.89[/C][C]136148.042203719[/C][C]3932.86643478295[/C][/ROW]
[ROW][C]0.9[/C][C]137193.397731151[/C][C]2633.04142815748[/C][/ROW]
[ROW][C]0.91[/C][C]138008.772208532[/C][C]2023.00571263141[/C][/ROW]
[ROW][C]0.92[/C][C]138707.034072859[/C][C]1728.01083003789[/C][/ROW]
[ROW][C]0.93[/C][C]139329.165478351[/C][C]1489.97981968981[/C][/ROW]
[ROW][C]0.94[/C][C]139877.820443044[/C][C]1215.36082921002[/C][/ROW]
[ROW][C]0.95[/C][C]140354.167949774[/C][C]932.945629103871[/C][/ROW]
[ROW][C]0.96[/C][C]140782.076618559[/C][C]727.840830119228[/C][/ROW]
[ROW][C]0.97[/C][C]141205.442401399[/C][C]647.970370347757[/C][/ROW]
[ROW][C]0.98[/C][C]141654.090131304[/C][C]614.819952814893[/C][/ROW]
[ROW][C]0.99[/C][C]142086.878916347[/C][C]512.096052703709[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293202&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293202&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
0.0130834.5513400918170.459991181287
0.0230998.9955453857289.99471771582
0.0331210.2584275055367.722261992262
0.0431434.9912126486403.129914183693
0.0531651.3426751875406.546654802022
0.0631846.4644237737380.521327085534
0.0732013.401640658332.869551790142
0.0832150.4653050627279.494380384266
0.0932260.9483278379236.050921483619
0.132351.364870113210.247767384709
0.1132428.8408751737200.47506219691
0.1232499.0898151132200.172422513105
0.1332565.6387293295202.989567559589
0.1432630.0755270118205.052182244238
0.1532692.7563909257204.841880503046
0.1632753.5185476017202.661607288493
0.1732812.1760047164199.622381324366
0.1832868.7582469837197.135910783652
0.1932923.5487542665195.990120277623
0.232977.0116784477196.704689878985
0.2133029.686523468199.286903032456
0.2233082.1020926931203.580759848796
0.2333134.7285050073209.258497747943
0.2433187.9620222143216.056930318605
0.2533242.1274459834223.936335934318
0.2633297.4850719735232.726540917311
0.2733354.2369245708242.117659731101
0.2833412.5333102302251.959178191238
0.2933472.4821117549262.006109783111
0.333534.1604514311272.238026104315
0.3133597.6246622624282.729074881626
0.3233662.9130814495293.377118466039
0.3333730.0381879419304.008522107647
0.3433798.9689698106314.459301747057
0.3533869.6088427827324.271677939079
0.3633941.7768682149332.963367533938
0.3734015.199517551339.991720115778
0.3834089.5172196984344.970642334849
0.3934164.3057317663347.604403632797
0.434239.1085571606347.903216392595
0.4134313.4744251764345.912106711344
0.4234386.9937850676341.880293918613
0.4334459.330115706336.296894982431
0.4434530.244716092329.805310840446
0.4534599.6162900706322.781132358112
0.4634667.457934817315.924963395344
0.4734733.9334806747309.977890905734
0.4834799.372707356305.773870108595
0.4934864.2817679278304.273879942995
0.534929.3426435329306.224748682421
0.5134995.3950130838312.729010619657
0.5235063.3963101623324.080649163091
0.5335134.3607172299340.469900831808
0.5435209.2841506356361.502571184463
0.5535289.0679562877386.373412468304
0.5635374.4570176898413.976353057636
0.5735466.0068807012443.224269077412
0.5835564.0892490691472.962758525168
0.5935668.9374653836502.729989497683
0.635780.7268273183532.335756793094
0.6135899.6838044154562.289716093988
0.6236026.2295574332593.604266739026
0.6336161.1934930041628.179733663614
0.6436306.1888753691669.184130317668
0.6536464.3298645939723.227615651477
0.6636641.5856565785802.790916488123
0.6736849.1924491047933.249786358465
0.6837107.62309647881161.82311655603
0.6937452.54326402261567.29620142075
0.737942.81011931442265.20254102302
0.7138669.74086785293406.42833125411
0.7239765.54359913185167.67710450607
0.7341407.17422864237725.70464931638
0.7443810.574790035811209.9082475445
0.7547210.259853988915635.5424617524
0.7651821.617090450120833.3194939317
0.7757788.556408974526402.9788977457
0.7865126.407614302731721.47257896
0.7973676.62999088536027.6202926626
0.883092.225995485438581.0368314281
0.8192867.619845492338856.9593405084
0.82102413.90123816936712.4637647931
0.83111163.6806349532456.1570339141
0.84118676.5499668126783.2972876667
0.85124713.3120022220591.3622333148
0.86129257.33629398914744.313510273
0.87132480.5670356599871.55560754163
0.88134670.8943988366271.16640616779
0.89136148.0422037193932.86643478295
0.9137193.3977311512633.04142815748
0.91138008.7722085322023.00571263141
0.92138707.0340728591728.01083003789
0.93139329.1654783511489.97981968981
0.94139877.8204430441215.36082921002
0.95140354.167949774932.945629103871
0.96140782.076618559727.840830119228
0.97141205.442401399647.970370347757
0.98141654.090131304614.819952814893
0.99142086.878916347512.096052703709


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')