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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 15:36:24 +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/t14568467275cnxphphl852bdb.htm/, Retrieved Tue, 07 May 2024 06:52:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293162, Retrieved Tue, 07 May 2024 06:52:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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 15:36:24] [be6cd4bb5de010eb7c002bb036e110fa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
81432
81935
82229
82963
82975
82892
82692
82648
83479
84176
84589
84857
84586
84635
84927
85563
86962
87780
88515
88800
89218
89626
89939
90663
91302
91560
92290
93281
94535
94855
95536
96008
96627
96738
96212
94198
93123
93022
93993
94876
95251
96216
96632
97023
97799
98001
98069
98172
98448
98157
98009
98020
97802
98006
98262
98629
99043
99289
99682
99979

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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293162&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293162&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293162&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0181557.3868772387458.55530599889
0.0281748.4993283957422.663384477485
0.0381956.9700727089402.097313634621
0.0482153.3383989644388.871015605198
0.0582327.8327344604374.414358486654
0.0682481.4211284157361.354944618418
0.0782619.2647060335359.329655014113
0.0882747.8420209513377.460477351132
0.0982873.7487325707418.531285702129
0.183002.8638422629478.133582315932
0.1183139.6299493328548.116761472872
0.1283286.6119115647619.264431168393
0.1383444.4765160588684.215652847484
0.1483612.3894687634738.406637852653
0.1583788.7028716754781.559097684258
0.1683971.7424033826817.241375000453
0.1784160.4977765208852.573052257963
0.1884355.062594952895.932362625026
0.1984556.7440929152954.901401477689
0.284767.84779960391033.91542396987
0.2184991.21515000811132.96284698723
0.2285229.63760659541247.68832316674
0.2385485.28260148091371.3167378539
0.2485759.24752941311494.96223828315
0.2586051.31760570321610.19066950195
0.2686359.95387700821709.87046495786
0.2786682.49065841141788.75589559352
0.2887015.48593602041844.22832592328
0.2987355.1486757061876.28140664915
0.387697.76438864551887.57350672848
0.3188040.05225878041882.04451289005
0.3288379.40892584861864.93298938661
0.3388714.0199669681841.2561959398
0.3489042.84482570071815.50783710395
0.3589365.50023239391791.02039445555
0.3689682.07866852121769.56843023628
0.3789992.94166863041751.27650382932
0.3890298.52384080331735.60338929487
0.3990599.17457946461720.67373615006
0.490895.05311054031704.73867856539
0.4191186.08115722811685.90779426957
0.4291471.94799723131662.56750856133
0.4391752.15610261061634.08959255376
0.4492026.09226049761599.92431282529
0.4592293.10879136781560.31457025467
0.4692552.60151435261516.18006560363
0.4792804.07455906421468.30047950342
0.4893047.18609323591418.24398549934
0.4993281.77278112591367.10067725003
0.593507.85381282041316.14101622057
0.5193725.61743151311266.51172542897
0.5293935.39406571461219.04978670563
0.5394137.62064803681174.34566506862
0.5494332.80073780891132.64574402888
0.5594521.46488474551094.02579554604
0.5694704.13537784561058.41452589357
0.5794881.29907355721025.47642243535
0.5895053.3912344698994.668317613808
0.5995220.7920548303965.591589625829
0.695383.8357108344937.73182921484
0.6195542.8294491242910.988312680839
0.6295698.0777515471885.331832281711
0.6395849.9045350676861.033155488459
0.6495998.6653131767838.402666673512
0.6596144.7418410755817.986955226899
0.6696288.5143087918800.181570763563
0.6796430.3105210946784.665867890951
0.6896570.3370850464770.890079054946
0.6996708.6033221256757.898674390081
0.796844.8530587617743.566955438037
0.7196978.5212822622726.061586326131
0.7297108.7309316968703.294547769165
0.7397234.3396117508673.614438485293
0.7497354.037487248636.122765199125
0.7597466.4876499169590.811661760718
0.7697570.4910631915538.679040514283
0.7797665.1520868284481.799639403734
0.7897750.0193236935422.806265621401
0.7997825.1807822877364.833810595042
0.897891.3013655474310.964285215771
0.8197949.602380347264.119966664467
0.8298001.7941153126226.671763564904
0.8398049.9804193705200.4545516621
0.8498096.5562201814186.473165757064
0.8598144.1141157641184.839426300871
0.8698195.3655486283194.732276434959
0.8798253.0686555363214.805513385474
0.8898319.9434888582243.350337709272
0.8998398.5517796695278.478439528624
0.998491.1279097144317.581836917354
0.9198599.3714122598357.303223308515
0.9298724.2417252594393.496859643457
0.9398865.8134291368421.583771491209
0.9499023.2214381111437.834669865859
0.9599194.6019017691439.55006484359
0.9699376.6619836788425.132552249333
0.9799563.1445837084393.827479081243
0.9899741.5597667843350.030890304671
0.9999889.7084581941310.270765626391

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 81557.3868772387 & 458.55530599889 \tabularnewline
0.02 & 81748.4993283957 & 422.663384477485 \tabularnewline
0.03 & 81956.9700727089 & 402.097313634621 \tabularnewline
0.04 & 82153.3383989644 & 388.871015605198 \tabularnewline
0.05 & 82327.8327344604 & 374.414358486654 \tabularnewline
0.06 & 82481.4211284157 & 361.354944618418 \tabularnewline
0.07 & 82619.2647060335 & 359.329655014113 \tabularnewline
0.08 & 82747.8420209513 & 377.460477351132 \tabularnewline
0.09 & 82873.7487325707 & 418.531285702129 \tabularnewline
0.1 & 83002.8638422629 & 478.133582315932 \tabularnewline
0.11 & 83139.6299493328 & 548.116761472872 \tabularnewline
0.12 & 83286.6119115647 & 619.264431168393 \tabularnewline
0.13 & 83444.4765160588 & 684.215652847484 \tabularnewline
0.14 & 83612.3894687634 & 738.406637852653 \tabularnewline
0.15 & 83788.7028716754 & 781.559097684258 \tabularnewline
0.16 & 83971.7424033826 & 817.241375000453 \tabularnewline
0.17 & 84160.4977765208 & 852.573052257963 \tabularnewline
0.18 & 84355.062594952 & 895.932362625026 \tabularnewline
0.19 & 84556.7440929152 & 954.901401477689 \tabularnewline
0.2 & 84767.8477996039 & 1033.91542396987 \tabularnewline
0.21 & 84991.2151500081 & 1132.96284698723 \tabularnewline
0.22 & 85229.6376065954 & 1247.68832316674 \tabularnewline
0.23 & 85485.2826014809 & 1371.3167378539 \tabularnewline
0.24 & 85759.2475294131 & 1494.96223828315 \tabularnewline
0.25 & 86051.3176057032 & 1610.19066950195 \tabularnewline
0.26 & 86359.9538770082 & 1709.87046495786 \tabularnewline
0.27 & 86682.4906584114 & 1788.75589559352 \tabularnewline
0.28 & 87015.4859360204 & 1844.22832592328 \tabularnewline
0.29 & 87355.148675706 & 1876.28140664915 \tabularnewline
0.3 & 87697.7643886455 & 1887.57350672848 \tabularnewline
0.31 & 88040.0522587804 & 1882.04451289005 \tabularnewline
0.32 & 88379.4089258486 & 1864.93298938661 \tabularnewline
0.33 & 88714.019966968 & 1841.2561959398 \tabularnewline
0.34 & 89042.8448257007 & 1815.50783710395 \tabularnewline
0.35 & 89365.5002323939 & 1791.02039445555 \tabularnewline
0.36 & 89682.0786685212 & 1769.56843023628 \tabularnewline
0.37 & 89992.9416686304 & 1751.27650382932 \tabularnewline
0.38 & 90298.5238408033 & 1735.60338929487 \tabularnewline
0.39 & 90599.1745794646 & 1720.67373615006 \tabularnewline
0.4 & 90895.0531105403 & 1704.73867856539 \tabularnewline
0.41 & 91186.0811572281 & 1685.90779426957 \tabularnewline
0.42 & 91471.9479972313 & 1662.56750856133 \tabularnewline
0.43 & 91752.1561026106 & 1634.08959255376 \tabularnewline
0.44 & 92026.0922604976 & 1599.92431282529 \tabularnewline
0.45 & 92293.1087913678 & 1560.31457025467 \tabularnewline
0.46 & 92552.6015143526 & 1516.18006560363 \tabularnewline
0.47 & 92804.0745590642 & 1468.30047950342 \tabularnewline
0.48 & 93047.1860932359 & 1418.24398549934 \tabularnewline
0.49 & 93281.7727811259 & 1367.10067725003 \tabularnewline
0.5 & 93507.8538128204 & 1316.14101622057 \tabularnewline
0.51 & 93725.6174315131 & 1266.51172542897 \tabularnewline
0.52 & 93935.3940657146 & 1219.04978670563 \tabularnewline
0.53 & 94137.6206480368 & 1174.34566506862 \tabularnewline
0.54 & 94332.8007378089 & 1132.64574402888 \tabularnewline
0.55 & 94521.4648847455 & 1094.02579554604 \tabularnewline
0.56 & 94704.1353778456 & 1058.41452589357 \tabularnewline
0.57 & 94881.2990735572 & 1025.47642243535 \tabularnewline
0.58 & 95053.3912344698 & 994.668317613808 \tabularnewline
0.59 & 95220.7920548303 & 965.591589625829 \tabularnewline
0.6 & 95383.8357108344 & 937.73182921484 \tabularnewline
0.61 & 95542.8294491242 & 910.988312680839 \tabularnewline
0.62 & 95698.0777515471 & 885.331832281711 \tabularnewline
0.63 & 95849.9045350676 & 861.033155488459 \tabularnewline
0.64 & 95998.6653131767 & 838.402666673512 \tabularnewline
0.65 & 96144.7418410755 & 817.986955226899 \tabularnewline
0.66 & 96288.5143087918 & 800.181570763563 \tabularnewline
0.67 & 96430.3105210946 & 784.665867890951 \tabularnewline
0.68 & 96570.3370850464 & 770.890079054946 \tabularnewline
0.69 & 96708.6033221256 & 757.898674390081 \tabularnewline
0.7 & 96844.8530587617 & 743.566955438037 \tabularnewline
0.71 & 96978.5212822622 & 726.061586326131 \tabularnewline
0.72 & 97108.7309316968 & 703.294547769165 \tabularnewline
0.73 & 97234.3396117508 & 673.614438485293 \tabularnewline
0.74 & 97354.037487248 & 636.122765199125 \tabularnewline
0.75 & 97466.4876499169 & 590.811661760718 \tabularnewline
0.76 & 97570.4910631915 & 538.679040514283 \tabularnewline
0.77 & 97665.1520868284 & 481.799639403734 \tabularnewline
0.78 & 97750.0193236935 & 422.806265621401 \tabularnewline
0.79 & 97825.1807822877 & 364.833810595042 \tabularnewline
0.8 & 97891.3013655474 & 310.964285215771 \tabularnewline
0.81 & 97949.602380347 & 264.119966664467 \tabularnewline
0.82 & 98001.7941153126 & 226.671763564904 \tabularnewline
0.83 & 98049.9804193705 & 200.4545516621 \tabularnewline
0.84 & 98096.5562201814 & 186.473165757064 \tabularnewline
0.85 & 98144.1141157641 & 184.839426300871 \tabularnewline
0.86 & 98195.3655486283 & 194.732276434959 \tabularnewline
0.87 & 98253.0686555363 & 214.805513385474 \tabularnewline
0.88 & 98319.9434888582 & 243.350337709272 \tabularnewline
0.89 & 98398.5517796695 & 278.478439528624 \tabularnewline
0.9 & 98491.1279097144 & 317.581836917354 \tabularnewline
0.91 & 98599.3714122598 & 357.303223308515 \tabularnewline
0.92 & 98724.2417252594 & 393.496859643457 \tabularnewline
0.93 & 98865.8134291368 & 421.583771491209 \tabularnewline
0.94 & 99023.2214381111 & 437.834669865859 \tabularnewline
0.95 & 99194.6019017691 & 439.55006484359 \tabularnewline
0.96 & 99376.6619836788 & 425.132552249333 \tabularnewline
0.97 & 99563.1445837084 & 393.827479081243 \tabularnewline
0.98 & 99741.5597667843 & 350.030890304671 \tabularnewline
0.99 & 99889.7084581941 & 310.270765626391 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293162&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]81557.3868772387[/C][C]458.55530599889[/C][/ROW]
[ROW][C]0.02[/C][C]81748.4993283957[/C][C]422.663384477485[/C][/ROW]
[ROW][C]0.03[/C][C]81956.9700727089[/C][C]402.097313634621[/C][/ROW]
[ROW][C]0.04[/C][C]82153.3383989644[/C][C]388.871015605198[/C][/ROW]
[ROW][C]0.05[/C][C]82327.8327344604[/C][C]374.414358486654[/C][/ROW]
[ROW][C]0.06[/C][C]82481.4211284157[/C][C]361.354944618418[/C][/ROW]
[ROW][C]0.07[/C][C]82619.2647060335[/C][C]359.329655014113[/C][/ROW]
[ROW][C]0.08[/C][C]82747.8420209513[/C][C]377.460477351132[/C][/ROW]
[ROW][C]0.09[/C][C]82873.7487325707[/C][C]418.531285702129[/C][/ROW]
[ROW][C]0.1[/C][C]83002.8638422629[/C][C]478.133582315932[/C][/ROW]
[ROW][C]0.11[/C][C]83139.6299493328[/C][C]548.116761472872[/C][/ROW]
[ROW][C]0.12[/C][C]83286.6119115647[/C][C]619.264431168393[/C][/ROW]
[ROW][C]0.13[/C][C]83444.4765160588[/C][C]684.215652847484[/C][/ROW]
[ROW][C]0.14[/C][C]83612.3894687634[/C][C]738.406637852653[/C][/ROW]
[ROW][C]0.15[/C][C]83788.7028716754[/C][C]781.559097684258[/C][/ROW]
[ROW][C]0.16[/C][C]83971.7424033826[/C][C]817.241375000453[/C][/ROW]
[ROW][C]0.17[/C][C]84160.4977765208[/C][C]852.573052257963[/C][/ROW]
[ROW][C]0.18[/C][C]84355.062594952[/C][C]895.932362625026[/C][/ROW]
[ROW][C]0.19[/C][C]84556.7440929152[/C][C]954.901401477689[/C][/ROW]
[ROW][C]0.2[/C][C]84767.8477996039[/C][C]1033.91542396987[/C][/ROW]
[ROW][C]0.21[/C][C]84991.2151500081[/C][C]1132.96284698723[/C][/ROW]
[ROW][C]0.22[/C][C]85229.6376065954[/C][C]1247.68832316674[/C][/ROW]
[ROW][C]0.23[/C][C]85485.2826014809[/C][C]1371.3167378539[/C][/ROW]
[ROW][C]0.24[/C][C]85759.2475294131[/C][C]1494.96223828315[/C][/ROW]
[ROW][C]0.25[/C][C]86051.3176057032[/C][C]1610.19066950195[/C][/ROW]
[ROW][C]0.26[/C][C]86359.9538770082[/C][C]1709.87046495786[/C][/ROW]
[ROW][C]0.27[/C][C]86682.4906584114[/C][C]1788.75589559352[/C][/ROW]
[ROW][C]0.28[/C][C]87015.4859360204[/C][C]1844.22832592328[/C][/ROW]
[ROW][C]0.29[/C][C]87355.148675706[/C][C]1876.28140664915[/C][/ROW]
[ROW][C]0.3[/C][C]87697.7643886455[/C][C]1887.57350672848[/C][/ROW]
[ROW][C]0.31[/C][C]88040.0522587804[/C][C]1882.04451289005[/C][/ROW]
[ROW][C]0.32[/C][C]88379.4089258486[/C][C]1864.93298938661[/C][/ROW]
[ROW][C]0.33[/C][C]88714.019966968[/C][C]1841.2561959398[/C][/ROW]
[ROW][C]0.34[/C][C]89042.8448257007[/C][C]1815.50783710395[/C][/ROW]
[ROW][C]0.35[/C][C]89365.5002323939[/C][C]1791.02039445555[/C][/ROW]
[ROW][C]0.36[/C][C]89682.0786685212[/C][C]1769.56843023628[/C][/ROW]
[ROW][C]0.37[/C][C]89992.9416686304[/C][C]1751.27650382932[/C][/ROW]
[ROW][C]0.38[/C][C]90298.5238408033[/C][C]1735.60338929487[/C][/ROW]
[ROW][C]0.39[/C][C]90599.1745794646[/C][C]1720.67373615006[/C][/ROW]
[ROW][C]0.4[/C][C]90895.0531105403[/C][C]1704.73867856539[/C][/ROW]
[ROW][C]0.41[/C][C]91186.0811572281[/C][C]1685.90779426957[/C][/ROW]
[ROW][C]0.42[/C][C]91471.9479972313[/C][C]1662.56750856133[/C][/ROW]
[ROW][C]0.43[/C][C]91752.1561026106[/C][C]1634.08959255376[/C][/ROW]
[ROW][C]0.44[/C][C]92026.0922604976[/C][C]1599.92431282529[/C][/ROW]
[ROW][C]0.45[/C][C]92293.1087913678[/C][C]1560.31457025467[/C][/ROW]
[ROW][C]0.46[/C][C]92552.6015143526[/C][C]1516.18006560363[/C][/ROW]
[ROW][C]0.47[/C][C]92804.0745590642[/C][C]1468.30047950342[/C][/ROW]
[ROW][C]0.48[/C][C]93047.1860932359[/C][C]1418.24398549934[/C][/ROW]
[ROW][C]0.49[/C][C]93281.7727811259[/C][C]1367.10067725003[/C][/ROW]
[ROW][C]0.5[/C][C]93507.8538128204[/C][C]1316.14101622057[/C][/ROW]
[ROW][C]0.51[/C][C]93725.6174315131[/C][C]1266.51172542897[/C][/ROW]
[ROW][C]0.52[/C][C]93935.3940657146[/C][C]1219.04978670563[/C][/ROW]
[ROW][C]0.53[/C][C]94137.6206480368[/C][C]1174.34566506862[/C][/ROW]
[ROW][C]0.54[/C][C]94332.8007378089[/C][C]1132.64574402888[/C][/ROW]
[ROW][C]0.55[/C][C]94521.4648847455[/C][C]1094.02579554604[/C][/ROW]
[ROW][C]0.56[/C][C]94704.1353778456[/C][C]1058.41452589357[/C][/ROW]
[ROW][C]0.57[/C][C]94881.2990735572[/C][C]1025.47642243535[/C][/ROW]
[ROW][C]0.58[/C][C]95053.3912344698[/C][C]994.668317613808[/C][/ROW]
[ROW][C]0.59[/C][C]95220.7920548303[/C][C]965.591589625829[/C][/ROW]
[ROW][C]0.6[/C][C]95383.8357108344[/C][C]937.73182921484[/C][/ROW]
[ROW][C]0.61[/C][C]95542.8294491242[/C][C]910.988312680839[/C][/ROW]
[ROW][C]0.62[/C][C]95698.0777515471[/C][C]885.331832281711[/C][/ROW]
[ROW][C]0.63[/C][C]95849.9045350676[/C][C]861.033155488459[/C][/ROW]
[ROW][C]0.64[/C][C]95998.6653131767[/C][C]838.402666673512[/C][/ROW]
[ROW][C]0.65[/C][C]96144.7418410755[/C][C]817.986955226899[/C][/ROW]
[ROW][C]0.66[/C][C]96288.5143087918[/C][C]800.181570763563[/C][/ROW]
[ROW][C]0.67[/C][C]96430.3105210946[/C][C]784.665867890951[/C][/ROW]
[ROW][C]0.68[/C][C]96570.3370850464[/C][C]770.890079054946[/C][/ROW]
[ROW][C]0.69[/C][C]96708.6033221256[/C][C]757.898674390081[/C][/ROW]
[ROW][C]0.7[/C][C]96844.8530587617[/C][C]743.566955438037[/C][/ROW]
[ROW][C]0.71[/C][C]96978.5212822622[/C][C]726.061586326131[/C][/ROW]
[ROW][C]0.72[/C][C]97108.7309316968[/C][C]703.294547769165[/C][/ROW]
[ROW][C]0.73[/C][C]97234.3396117508[/C][C]673.614438485293[/C][/ROW]
[ROW][C]0.74[/C][C]97354.037487248[/C][C]636.122765199125[/C][/ROW]
[ROW][C]0.75[/C][C]97466.4876499169[/C][C]590.811661760718[/C][/ROW]
[ROW][C]0.76[/C][C]97570.4910631915[/C][C]538.679040514283[/C][/ROW]
[ROW][C]0.77[/C][C]97665.1520868284[/C][C]481.799639403734[/C][/ROW]
[ROW][C]0.78[/C][C]97750.0193236935[/C][C]422.806265621401[/C][/ROW]
[ROW][C]0.79[/C][C]97825.1807822877[/C][C]364.833810595042[/C][/ROW]
[ROW][C]0.8[/C][C]97891.3013655474[/C][C]310.964285215771[/C][/ROW]
[ROW][C]0.81[/C][C]97949.602380347[/C][C]264.119966664467[/C][/ROW]
[ROW][C]0.82[/C][C]98001.7941153126[/C][C]226.671763564904[/C][/ROW]
[ROW][C]0.83[/C][C]98049.9804193705[/C][C]200.4545516621[/C][/ROW]
[ROW][C]0.84[/C][C]98096.5562201814[/C][C]186.473165757064[/C][/ROW]
[ROW][C]0.85[/C][C]98144.1141157641[/C][C]184.839426300871[/C][/ROW]
[ROW][C]0.86[/C][C]98195.3655486283[/C][C]194.732276434959[/C][/ROW]
[ROW][C]0.87[/C][C]98253.0686555363[/C][C]214.805513385474[/C][/ROW]
[ROW][C]0.88[/C][C]98319.9434888582[/C][C]243.350337709272[/C][/ROW]
[ROW][C]0.89[/C][C]98398.5517796695[/C][C]278.478439528624[/C][/ROW]
[ROW][C]0.9[/C][C]98491.1279097144[/C][C]317.581836917354[/C][/ROW]
[ROW][C]0.91[/C][C]98599.3714122598[/C][C]357.303223308515[/C][/ROW]
[ROW][C]0.92[/C][C]98724.2417252594[/C][C]393.496859643457[/C][/ROW]
[ROW][C]0.93[/C][C]98865.8134291368[/C][C]421.583771491209[/C][/ROW]
[ROW][C]0.94[/C][C]99023.2214381111[/C][C]437.834669865859[/C][/ROW]
[ROW][C]0.95[/C][C]99194.6019017691[/C][C]439.55006484359[/C][/ROW]
[ROW][C]0.96[/C][C]99376.6619836788[/C][C]425.132552249333[/C][/ROW]
[ROW][C]0.97[/C][C]99563.1445837084[/C][C]393.827479081243[/C][/ROW]
[ROW][C]0.98[/C][C]99741.5597667843[/C][C]350.030890304671[/C][/ROW]
[ROW][C]0.99[/C][C]99889.7084581941[/C][C]310.270765626391[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293162&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293162&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
0.0181557.3868772387458.55530599889
0.0281748.4993283957422.663384477485
0.0381956.9700727089402.097313634621
0.0482153.3383989644388.871015605198
0.0582327.8327344604374.414358486654
0.0682481.4211284157361.354944618418
0.0782619.2647060335359.329655014113
0.0882747.8420209513377.460477351132
0.0982873.7487325707418.531285702129
0.183002.8638422629478.133582315932
0.1183139.6299493328548.116761472872
0.1283286.6119115647619.264431168393
0.1383444.4765160588684.215652847484
0.1483612.3894687634738.406637852653
0.1583788.7028716754781.559097684258
0.1683971.7424033826817.241375000453
0.1784160.4977765208852.573052257963
0.1884355.062594952895.932362625026
0.1984556.7440929152954.901401477689
0.284767.84779960391033.91542396987
0.2184991.21515000811132.96284698723
0.2285229.63760659541247.68832316674
0.2385485.28260148091371.3167378539
0.2485759.24752941311494.96223828315
0.2586051.31760570321610.19066950195
0.2686359.95387700821709.87046495786
0.2786682.49065841141788.75589559352
0.2887015.48593602041844.22832592328
0.2987355.1486757061876.28140664915
0.387697.76438864551887.57350672848
0.3188040.05225878041882.04451289005
0.3288379.40892584861864.93298938661
0.3388714.0199669681841.2561959398
0.3489042.84482570071815.50783710395
0.3589365.50023239391791.02039445555
0.3689682.07866852121769.56843023628
0.3789992.94166863041751.27650382932
0.3890298.52384080331735.60338929487
0.3990599.17457946461720.67373615006
0.490895.05311054031704.73867856539
0.4191186.08115722811685.90779426957
0.4291471.94799723131662.56750856133
0.4391752.15610261061634.08959255376
0.4492026.09226049761599.92431282529
0.4592293.10879136781560.31457025467
0.4692552.60151435261516.18006560363
0.4792804.07455906421468.30047950342
0.4893047.18609323591418.24398549934
0.4993281.77278112591367.10067725003
0.593507.85381282041316.14101622057
0.5193725.61743151311266.51172542897
0.5293935.39406571461219.04978670563
0.5394137.62064803681174.34566506862
0.5494332.80073780891132.64574402888
0.5594521.46488474551094.02579554604
0.5694704.13537784561058.41452589357
0.5794881.29907355721025.47642243535
0.5895053.3912344698994.668317613808
0.5995220.7920548303965.591589625829
0.695383.8357108344937.73182921484
0.6195542.8294491242910.988312680839
0.6295698.0777515471885.331832281711
0.6395849.9045350676861.033155488459
0.6495998.6653131767838.402666673512
0.6596144.7418410755817.986955226899
0.6696288.5143087918800.181570763563
0.6796430.3105210946784.665867890951
0.6896570.3370850464770.890079054946
0.6996708.6033221256757.898674390081
0.796844.8530587617743.566955438037
0.7196978.5212822622726.061586326131
0.7297108.7309316968703.294547769165
0.7397234.3396117508673.614438485293
0.7497354.037487248636.122765199125
0.7597466.4876499169590.811661760718
0.7697570.4910631915538.679040514283
0.7797665.1520868284481.799639403734
0.7897750.0193236935422.806265621401
0.7997825.1807822877364.833810595042
0.897891.3013655474310.964285215771
0.8197949.602380347264.119966664467
0.8298001.7941153126226.671763564904
0.8398049.9804193705200.4545516621
0.8498096.5562201814186.473165757064
0.8598144.1141157641184.839426300871
0.8698195.3655486283194.732276434959
0.8798253.0686555363214.805513385474
0.8898319.9434888582243.350337709272
0.8998398.5517796695278.478439528624
0.998491.1279097144317.581836917354
0.9198599.3714122598357.303223308515
0.9298724.2417252594393.496859643457
0.9398865.8134291368421.583771491209
0.9499023.2214381111437.834669865859
0.9599194.6019017691439.55006484359
0.9699376.6619836788425.132552249333
0.9799563.1445837084393.827479081243
0.9899741.5597667843350.030890304671
0.9999889.7084581941310.270765626391


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')