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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, 02 Oct 2014 15:46:40 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/02/t14122612307yf5472yyo376fh.htm/, Retrieved Sat, 11 May 2024 15:10:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238042, Retrieved Sat, 11 May 2024 15:10:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-02 14:46:40] [345c72938773a86f996d724d064c8f2d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
82303
79596
74472
73562
66618
69029
89899
93774
90305
83799
80320
82497
84420
84646
84186
83269
77793
81145
101691
107357
104253
95963
91432
94324
93855
92183
87600
83641
78195
79604
100846
105293
102518
93132
87479
85476
85460
82868
79941
76909
72613
72496
93244
99126
96748
89318
84724
83111
87497
86961
82319
79196
76898
77971
97335
106855
105401
99108
93456
92506
94602
93027
89722
87391
83030
83390
104501
110393
111017
103434
97817
96893

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238042&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238042&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238042&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167506.45334190542468.78829446865
0.0268886.84679639392518.9606147312
0.0370320.6970787342360.07173370987
0.0471576.44663119262099.90237514107
0.0572619.12698949361936.73121789607
0.0673500.86533112741916.95466605865
0.0774281.62943107111953.52047851087
0.0874997.5699352061958.9430995295
0.0975660.34431878611900.13263557164
0.176268.56802605911787.57077677238
0.1176818.99266142411651.37978407011
0.1277312.50240849211522.09557305361
0.1377755.13443034511419.89569600113
0.1478156.33723635651352.02910392859
0.1578526.5730075161316.43922500458
0.1678875.45221945261306.53793785705
0.1779210.72060026941314.98833885343
0.1879537.9263509341334.82683515811
0.1979860.46491853011359.29626315661
0.280179.77742581891381.18469280147
0.2180495.61244739611393.72447803404
0.2280806.35330720031390.98004004497
0.2381109.43575491421369.5426212418
0.2481401.85174745291328.63223168269
0.2581680.69015611441270.52662699369
0.2681943.6355390351199.63310689773
0.2782189.34602433141122.70256105087
0.2882417.65809924581046.55926538973
0.2982629.6063796925977.992478949149
0.382827.2847845703922.545515384398
0.3183013.6007789057884.104175707634
0.3283191.9822843607864.738839108572
0.3383366.0896070056864.993716178544
0.3483539.5681639011883.896311445584
0.3583715.8586236027919.728289092954
0.3683898.0647629551970.528152440175
0.3784088.86904204491033.63760244105
0.3884290.48238638421106.62218663119
0.3984504.61680402471186.8264201841
0.484732.47491527821271.51524294577
0.4184974.75644819881357.84373040272
0.4285231.68574477791443.33530245791
0.4385503.06471508271525.48642836222
0.4485788.35215487941602.48116411887
0.4586086.76397355381673.45998469936
0.4686397.3817963631737.98497342654
0.4786719.252147391796.62322677867
0.4887051.45711431031849.99248191933
0.4987393.1410517111898.8869957942
0.587743.48603870981943.6706155314
0.5188101.63968034141984.18473944006
0.5288466.60986851072019.2180936355
0.5388837.14972586192046.77717189477
0.5489211.66025560242064.30060431311
0.5589588.1374012412069.15557342891
0.5689964.18456970482059.00868810816
0.5790337.10229685742031.9548219676
0.5890704.05516437511987.59090568457
0.5991062.30391963141926.70386639449
0.691409.47951074011851.90582356152
0.6191743.86679218341767.10691293883
0.6292064.66022729791678.11771685598
0.6392372.15311014781591.47322814931
0.6492667.82646983011514.35352473044
0.6592954.31421591031453.86962633212
0.6693235.23677005491415.72150980571
0.6793514.91493913421403.56741189497
0.6893797.99654220321418.21076510584
0.6994089.04671736181457.23070775128
0.794392.16469465291515.65239064125
0.7194710.69106600891587.01033803496
0.7295047.05742368531664.67474920152
0.7395402.80444087611742.85717367528
0.7495778.75837461271817.68904372715
0.7596175.31670804521887.52520583167
0.7696592.76107104091952.96171107419
0.7797031.49988290932016.00080384315
0.7897492.1516960442078.79372456836
0.7997975.41451378922142.44734235441
0.898481.72060447012205.57989372638
0.8199010.73821317632263.67786193543
0.8299560.83547996212309.80037820778
0.83100128.6536682752335.31344718048
0.84100708.9383381462331.83242163303
0.85101294.7485096832292.74563281985
0.86101878.1123280092215.22341735389
0.87102451.1330443922101.32739000362
0.88103007.4794393371958.7825088355
0.89103544.1284991141801.0790802205
0.9104063.1838829761646.98982710713
0.91104573.6013614751518.85682347702
0.92105092.6919207991439.83123835588
0.93105647.1033233181430.08264367565
0.94106271.9985035991503.27909521814
0.95107004.8565865391660.44865434193
0.96107868.0739971021859.64412636646
0.97108837.4975413671961.80600948562
0.98109808.6941758891749.01186173035
0.99110596.7182326911155.77881876344

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67506.4533419054 & 2468.78829446865 \tabularnewline
0.02 & 68886.8467963939 & 2518.9606147312 \tabularnewline
0.03 & 70320.697078734 & 2360.07173370987 \tabularnewline
0.04 & 71576.4466311926 & 2099.90237514107 \tabularnewline
0.05 & 72619.1269894936 & 1936.73121789607 \tabularnewline
0.06 & 73500.8653311274 & 1916.95466605865 \tabularnewline
0.07 & 74281.6294310711 & 1953.52047851087 \tabularnewline
0.08 & 74997.569935206 & 1958.9430995295 \tabularnewline
0.09 & 75660.3443187861 & 1900.13263557164 \tabularnewline
0.1 & 76268.5680260591 & 1787.57077677238 \tabularnewline
0.11 & 76818.9926614241 & 1651.37978407011 \tabularnewline
0.12 & 77312.5024084921 & 1522.09557305361 \tabularnewline
0.13 & 77755.1344303451 & 1419.89569600113 \tabularnewline
0.14 & 78156.3372363565 & 1352.02910392859 \tabularnewline
0.15 & 78526.573007516 & 1316.43922500458 \tabularnewline
0.16 & 78875.4522194526 & 1306.53793785705 \tabularnewline
0.17 & 79210.7206002694 & 1314.98833885343 \tabularnewline
0.18 & 79537.926350934 & 1334.82683515811 \tabularnewline
0.19 & 79860.4649185301 & 1359.29626315661 \tabularnewline
0.2 & 80179.7774258189 & 1381.18469280147 \tabularnewline
0.21 & 80495.6124473961 & 1393.72447803404 \tabularnewline
0.22 & 80806.3533072003 & 1390.98004004497 \tabularnewline
0.23 & 81109.4357549142 & 1369.5426212418 \tabularnewline
0.24 & 81401.8517474529 & 1328.63223168269 \tabularnewline
0.25 & 81680.6901561144 & 1270.52662699369 \tabularnewline
0.26 & 81943.635539035 & 1199.63310689773 \tabularnewline
0.27 & 82189.3460243314 & 1122.70256105087 \tabularnewline
0.28 & 82417.6580992458 & 1046.55926538973 \tabularnewline
0.29 & 82629.6063796925 & 977.992478949149 \tabularnewline
0.3 & 82827.2847845703 & 922.545515384398 \tabularnewline
0.31 & 83013.6007789057 & 884.104175707634 \tabularnewline
0.32 & 83191.9822843607 & 864.738839108572 \tabularnewline
0.33 & 83366.0896070056 & 864.993716178544 \tabularnewline
0.34 & 83539.5681639011 & 883.896311445584 \tabularnewline
0.35 & 83715.8586236027 & 919.728289092954 \tabularnewline
0.36 & 83898.0647629551 & 970.528152440175 \tabularnewline
0.37 & 84088.8690420449 & 1033.63760244105 \tabularnewline
0.38 & 84290.4823863842 & 1106.62218663119 \tabularnewline
0.39 & 84504.6168040247 & 1186.8264201841 \tabularnewline
0.4 & 84732.4749152782 & 1271.51524294577 \tabularnewline
0.41 & 84974.7564481988 & 1357.84373040272 \tabularnewline
0.42 & 85231.6857447779 & 1443.33530245791 \tabularnewline
0.43 & 85503.0647150827 & 1525.48642836222 \tabularnewline
0.44 & 85788.3521548794 & 1602.48116411887 \tabularnewline
0.45 & 86086.7639735538 & 1673.45998469936 \tabularnewline
0.46 & 86397.381796363 & 1737.98497342654 \tabularnewline
0.47 & 86719.25214739 & 1796.62322677867 \tabularnewline
0.48 & 87051.4571143103 & 1849.99248191933 \tabularnewline
0.49 & 87393.141051711 & 1898.8869957942 \tabularnewline
0.5 & 87743.4860387098 & 1943.6706155314 \tabularnewline
0.51 & 88101.6396803414 & 1984.18473944006 \tabularnewline
0.52 & 88466.6098685107 & 2019.2180936355 \tabularnewline
0.53 & 88837.1497258619 & 2046.77717189477 \tabularnewline
0.54 & 89211.6602556024 & 2064.30060431311 \tabularnewline
0.55 & 89588.137401241 & 2069.15557342891 \tabularnewline
0.56 & 89964.1845697048 & 2059.00868810816 \tabularnewline
0.57 & 90337.1022968574 & 2031.9548219676 \tabularnewline
0.58 & 90704.0551643751 & 1987.59090568457 \tabularnewline
0.59 & 91062.3039196314 & 1926.70386639449 \tabularnewline
0.6 & 91409.4795107401 & 1851.90582356152 \tabularnewline
0.61 & 91743.8667921834 & 1767.10691293883 \tabularnewline
0.62 & 92064.6602272979 & 1678.11771685598 \tabularnewline
0.63 & 92372.1531101478 & 1591.47322814931 \tabularnewline
0.64 & 92667.8264698301 & 1514.35352473044 \tabularnewline
0.65 & 92954.3142159103 & 1453.86962633212 \tabularnewline
0.66 & 93235.2367700549 & 1415.72150980571 \tabularnewline
0.67 & 93514.9149391342 & 1403.56741189497 \tabularnewline
0.68 & 93797.9965422032 & 1418.21076510584 \tabularnewline
0.69 & 94089.0467173618 & 1457.23070775128 \tabularnewline
0.7 & 94392.1646946529 & 1515.65239064125 \tabularnewline
0.71 & 94710.6910660089 & 1587.01033803496 \tabularnewline
0.72 & 95047.0574236853 & 1664.67474920152 \tabularnewline
0.73 & 95402.8044408761 & 1742.85717367528 \tabularnewline
0.74 & 95778.7583746127 & 1817.68904372715 \tabularnewline
0.75 & 96175.3167080452 & 1887.52520583167 \tabularnewline
0.76 & 96592.7610710409 & 1952.96171107419 \tabularnewline
0.77 & 97031.4998829093 & 2016.00080384315 \tabularnewline
0.78 & 97492.151696044 & 2078.79372456836 \tabularnewline
0.79 & 97975.4145137892 & 2142.44734235441 \tabularnewline
0.8 & 98481.7206044701 & 2205.57989372638 \tabularnewline
0.81 & 99010.7382131763 & 2263.67786193543 \tabularnewline
0.82 & 99560.8354799621 & 2309.80037820778 \tabularnewline
0.83 & 100128.653668275 & 2335.31344718048 \tabularnewline
0.84 & 100708.938338146 & 2331.83242163303 \tabularnewline
0.85 & 101294.748509683 & 2292.74563281985 \tabularnewline
0.86 & 101878.112328009 & 2215.22341735389 \tabularnewline
0.87 & 102451.133044392 & 2101.32739000362 \tabularnewline
0.88 & 103007.479439337 & 1958.7825088355 \tabularnewline
0.89 & 103544.128499114 & 1801.0790802205 \tabularnewline
0.9 & 104063.183882976 & 1646.98982710713 \tabularnewline
0.91 & 104573.601361475 & 1518.85682347702 \tabularnewline
0.92 & 105092.691920799 & 1439.83123835588 \tabularnewline
0.93 & 105647.103323318 & 1430.08264367565 \tabularnewline
0.94 & 106271.998503599 & 1503.27909521814 \tabularnewline
0.95 & 107004.856586539 & 1660.44865434193 \tabularnewline
0.96 & 107868.073997102 & 1859.64412636646 \tabularnewline
0.97 & 108837.497541367 & 1961.80600948562 \tabularnewline
0.98 & 109808.694175889 & 1749.01186173035 \tabularnewline
0.99 & 110596.718232691 & 1155.77881876344 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238042&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]67506.4533419054[/C][C]2468.78829446865[/C][/ROW]
[ROW][C]0.02[/C][C]68886.8467963939[/C][C]2518.9606147312[/C][/ROW]
[ROW][C]0.03[/C][C]70320.697078734[/C][C]2360.07173370987[/C][/ROW]
[ROW][C]0.04[/C][C]71576.4466311926[/C][C]2099.90237514107[/C][/ROW]
[ROW][C]0.05[/C][C]72619.1269894936[/C][C]1936.73121789607[/C][/ROW]
[ROW][C]0.06[/C][C]73500.8653311274[/C][C]1916.95466605865[/C][/ROW]
[ROW][C]0.07[/C][C]74281.6294310711[/C][C]1953.52047851087[/C][/ROW]
[ROW][C]0.08[/C][C]74997.569935206[/C][C]1958.9430995295[/C][/ROW]
[ROW][C]0.09[/C][C]75660.3443187861[/C][C]1900.13263557164[/C][/ROW]
[ROW][C]0.1[/C][C]76268.5680260591[/C][C]1787.57077677238[/C][/ROW]
[ROW][C]0.11[/C][C]76818.9926614241[/C][C]1651.37978407011[/C][/ROW]
[ROW][C]0.12[/C][C]77312.5024084921[/C][C]1522.09557305361[/C][/ROW]
[ROW][C]0.13[/C][C]77755.1344303451[/C][C]1419.89569600113[/C][/ROW]
[ROW][C]0.14[/C][C]78156.3372363565[/C][C]1352.02910392859[/C][/ROW]
[ROW][C]0.15[/C][C]78526.573007516[/C][C]1316.43922500458[/C][/ROW]
[ROW][C]0.16[/C][C]78875.4522194526[/C][C]1306.53793785705[/C][/ROW]
[ROW][C]0.17[/C][C]79210.7206002694[/C][C]1314.98833885343[/C][/ROW]
[ROW][C]0.18[/C][C]79537.926350934[/C][C]1334.82683515811[/C][/ROW]
[ROW][C]0.19[/C][C]79860.4649185301[/C][C]1359.29626315661[/C][/ROW]
[ROW][C]0.2[/C][C]80179.7774258189[/C][C]1381.18469280147[/C][/ROW]
[ROW][C]0.21[/C][C]80495.6124473961[/C][C]1393.72447803404[/C][/ROW]
[ROW][C]0.22[/C][C]80806.3533072003[/C][C]1390.98004004497[/C][/ROW]
[ROW][C]0.23[/C][C]81109.4357549142[/C][C]1369.5426212418[/C][/ROW]
[ROW][C]0.24[/C][C]81401.8517474529[/C][C]1328.63223168269[/C][/ROW]
[ROW][C]0.25[/C][C]81680.6901561144[/C][C]1270.52662699369[/C][/ROW]
[ROW][C]0.26[/C][C]81943.635539035[/C][C]1199.63310689773[/C][/ROW]
[ROW][C]0.27[/C][C]82189.3460243314[/C][C]1122.70256105087[/C][/ROW]
[ROW][C]0.28[/C][C]82417.6580992458[/C][C]1046.55926538973[/C][/ROW]
[ROW][C]0.29[/C][C]82629.6063796925[/C][C]977.992478949149[/C][/ROW]
[ROW][C]0.3[/C][C]82827.2847845703[/C][C]922.545515384398[/C][/ROW]
[ROW][C]0.31[/C][C]83013.6007789057[/C][C]884.104175707634[/C][/ROW]
[ROW][C]0.32[/C][C]83191.9822843607[/C][C]864.738839108572[/C][/ROW]
[ROW][C]0.33[/C][C]83366.0896070056[/C][C]864.993716178544[/C][/ROW]
[ROW][C]0.34[/C][C]83539.5681639011[/C][C]883.896311445584[/C][/ROW]
[ROW][C]0.35[/C][C]83715.8586236027[/C][C]919.728289092954[/C][/ROW]
[ROW][C]0.36[/C][C]83898.0647629551[/C][C]970.528152440175[/C][/ROW]
[ROW][C]0.37[/C][C]84088.8690420449[/C][C]1033.63760244105[/C][/ROW]
[ROW][C]0.38[/C][C]84290.4823863842[/C][C]1106.62218663119[/C][/ROW]
[ROW][C]0.39[/C][C]84504.6168040247[/C][C]1186.8264201841[/C][/ROW]
[ROW][C]0.4[/C][C]84732.4749152782[/C][C]1271.51524294577[/C][/ROW]
[ROW][C]0.41[/C][C]84974.7564481988[/C][C]1357.84373040272[/C][/ROW]
[ROW][C]0.42[/C][C]85231.6857447779[/C][C]1443.33530245791[/C][/ROW]
[ROW][C]0.43[/C][C]85503.0647150827[/C][C]1525.48642836222[/C][/ROW]
[ROW][C]0.44[/C][C]85788.3521548794[/C][C]1602.48116411887[/C][/ROW]
[ROW][C]0.45[/C][C]86086.7639735538[/C][C]1673.45998469936[/C][/ROW]
[ROW][C]0.46[/C][C]86397.381796363[/C][C]1737.98497342654[/C][/ROW]
[ROW][C]0.47[/C][C]86719.25214739[/C][C]1796.62322677867[/C][/ROW]
[ROW][C]0.48[/C][C]87051.4571143103[/C][C]1849.99248191933[/C][/ROW]
[ROW][C]0.49[/C][C]87393.141051711[/C][C]1898.8869957942[/C][/ROW]
[ROW][C]0.5[/C][C]87743.4860387098[/C][C]1943.6706155314[/C][/ROW]
[ROW][C]0.51[/C][C]88101.6396803414[/C][C]1984.18473944006[/C][/ROW]
[ROW][C]0.52[/C][C]88466.6098685107[/C][C]2019.2180936355[/C][/ROW]
[ROW][C]0.53[/C][C]88837.1497258619[/C][C]2046.77717189477[/C][/ROW]
[ROW][C]0.54[/C][C]89211.6602556024[/C][C]2064.30060431311[/C][/ROW]
[ROW][C]0.55[/C][C]89588.137401241[/C][C]2069.15557342891[/C][/ROW]
[ROW][C]0.56[/C][C]89964.1845697048[/C][C]2059.00868810816[/C][/ROW]
[ROW][C]0.57[/C][C]90337.1022968574[/C][C]2031.9548219676[/C][/ROW]
[ROW][C]0.58[/C][C]90704.0551643751[/C][C]1987.59090568457[/C][/ROW]
[ROW][C]0.59[/C][C]91062.3039196314[/C][C]1926.70386639449[/C][/ROW]
[ROW][C]0.6[/C][C]91409.4795107401[/C][C]1851.90582356152[/C][/ROW]
[ROW][C]0.61[/C][C]91743.8667921834[/C][C]1767.10691293883[/C][/ROW]
[ROW][C]0.62[/C][C]92064.6602272979[/C][C]1678.11771685598[/C][/ROW]
[ROW][C]0.63[/C][C]92372.1531101478[/C][C]1591.47322814931[/C][/ROW]
[ROW][C]0.64[/C][C]92667.8264698301[/C][C]1514.35352473044[/C][/ROW]
[ROW][C]0.65[/C][C]92954.3142159103[/C][C]1453.86962633212[/C][/ROW]
[ROW][C]0.66[/C][C]93235.2367700549[/C][C]1415.72150980571[/C][/ROW]
[ROW][C]0.67[/C][C]93514.9149391342[/C][C]1403.56741189497[/C][/ROW]
[ROW][C]0.68[/C][C]93797.9965422032[/C][C]1418.21076510584[/C][/ROW]
[ROW][C]0.69[/C][C]94089.0467173618[/C][C]1457.23070775128[/C][/ROW]
[ROW][C]0.7[/C][C]94392.1646946529[/C][C]1515.65239064125[/C][/ROW]
[ROW][C]0.71[/C][C]94710.6910660089[/C][C]1587.01033803496[/C][/ROW]
[ROW][C]0.72[/C][C]95047.0574236853[/C][C]1664.67474920152[/C][/ROW]
[ROW][C]0.73[/C][C]95402.8044408761[/C][C]1742.85717367528[/C][/ROW]
[ROW][C]0.74[/C][C]95778.7583746127[/C][C]1817.68904372715[/C][/ROW]
[ROW][C]0.75[/C][C]96175.3167080452[/C][C]1887.52520583167[/C][/ROW]
[ROW][C]0.76[/C][C]96592.7610710409[/C][C]1952.96171107419[/C][/ROW]
[ROW][C]0.77[/C][C]97031.4998829093[/C][C]2016.00080384315[/C][/ROW]
[ROW][C]0.78[/C][C]97492.151696044[/C][C]2078.79372456836[/C][/ROW]
[ROW][C]0.79[/C][C]97975.4145137892[/C][C]2142.44734235441[/C][/ROW]
[ROW][C]0.8[/C][C]98481.7206044701[/C][C]2205.57989372638[/C][/ROW]
[ROW][C]0.81[/C][C]99010.7382131763[/C][C]2263.67786193543[/C][/ROW]
[ROW][C]0.82[/C][C]99560.8354799621[/C][C]2309.80037820778[/C][/ROW]
[ROW][C]0.83[/C][C]100128.653668275[/C][C]2335.31344718048[/C][/ROW]
[ROW][C]0.84[/C][C]100708.938338146[/C][C]2331.83242163303[/C][/ROW]
[ROW][C]0.85[/C][C]101294.748509683[/C][C]2292.74563281985[/C][/ROW]
[ROW][C]0.86[/C][C]101878.112328009[/C][C]2215.22341735389[/C][/ROW]
[ROW][C]0.87[/C][C]102451.133044392[/C][C]2101.32739000362[/C][/ROW]
[ROW][C]0.88[/C][C]103007.479439337[/C][C]1958.7825088355[/C][/ROW]
[ROW][C]0.89[/C][C]103544.128499114[/C][C]1801.0790802205[/C][/ROW]
[ROW][C]0.9[/C][C]104063.183882976[/C][C]1646.98982710713[/C][/ROW]
[ROW][C]0.91[/C][C]104573.601361475[/C][C]1518.85682347702[/C][/ROW]
[ROW][C]0.92[/C][C]105092.691920799[/C][C]1439.83123835588[/C][/ROW]
[ROW][C]0.93[/C][C]105647.103323318[/C][C]1430.08264367565[/C][/ROW]
[ROW][C]0.94[/C][C]106271.998503599[/C][C]1503.27909521814[/C][/ROW]
[ROW][C]0.95[/C][C]107004.856586539[/C][C]1660.44865434193[/C][/ROW]
[ROW][C]0.96[/C][C]107868.073997102[/C][C]1859.64412636646[/C][/ROW]
[ROW][C]0.97[/C][C]108837.497541367[/C][C]1961.80600948562[/C][/ROW]
[ROW][C]0.98[/C][C]109808.694175889[/C][C]1749.01186173035[/C][/ROW]
[ROW][C]0.99[/C][C]110596.718232691[/C][C]1155.77881876344[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238042&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238042&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
0.0167506.45334190542468.78829446865
0.0268886.84679639392518.9606147312
0.0370320.6970787342360.07173370987
0.0471576.44663119262099.90237514107
0.0572619.12698949361936.73121789607
0.0673500.86533112741916.95466605865
0.0774281.62943107111953.52047851087
0.0874997.5699352061958.9430995295
0.0975660.34431878611900.13263557164
0.176268.56802605911787.57077677238
0.1176818.99266142411651.37978407011
0.1277312.50240849211522.09557305361
0.1377755.13443034511419.89569600113
0.1478156.33723635651352.02910392859
0.1578526.5730075161316.43922500458
0.1678875.45221945261306.53793785705
0.1779210.72060026941314.98833885343
0.1879537.9263509341334.82683515811
0.1979860.46491853011359.29626315661
0.280179.77742581891381.18469280147
0.2180495.61244739611393.72447803404
0.2280806.35330720031390.98004004497
0.2381109.43575491421369.5426212418
0.2481401.85174745291328.63223168269
0.2581680.69015611441270.52662699369
0.2681943.6355390351199.63310689773
0.2782189.34602433141122.70256105087
0.2882417.65809924581046.55926538973
0.2982629.6063796925977.992478949149
0.382827.2847845703922.545515384398
0.3183013.6007789057884.104175707634
0.3283191.9822843607864.738839108572
0.3383366.0896070056864.993716178544
0.3483539.5681639011883.896311445584
0.3583715.8586236027919.728289092954
0.3683898.0647629551970.528152440175
0.3784088.86904204491033.63760244105
0.3884290.48238638421106.62218663119
0.3984504.61680402471186.8264201841
0.484732.47491527821271.51524294577
0.4184974.75644819881357.84373040272
0.4285231.68574477791443.33530245791
0.4385503.06471508271525.48642836222
0.4485788.35215487941602.48116411887
0.4586086.76397355381673.45998469936
0.4686397.3817963631737.98497342654
0.4786719.252147391796.62322677867
0.4887051.45711431031849.99248191933
0.4987393.1410517111898.8869957942
0.587743.48603870981943.6706155314
0.5188101.63968034141984.18473944006
0.5288466.60986851072019.2180936355
0.5388837.14972586192046.77717189477
0.5489211.66025560242064.30060431311
0.5589588.1374012412069.15557342891
0.5689964.18456970482059.00868810816
0.5790337.10229685742031.9548219676
0.5890704.05516437511987.59090568457
0.5991062.30391963141926.70386639449
0.691409.47951074011851.90582356152
0.6191743.86679218341767.10691293883
0.6292064.66022729791678.11771685598
0.6392372.15311014781591.47322814931
0.6492667.82646983011514.35352473044
0.6592954.31421591031453.86962633212
0.6693235.23677005491415.72150980571
0.6793514.91493913421403.56741189497
0.6893797.99654220321418.21076510584
0.6994089.04671736181457.23070775128
0.794392.16469465291515.65239064125
0.7194710.69106600891587.01033803496
0.7295047.05742368531664.67474920152
0.7395402.80444087611742.85717367528
0.7495778.75837461271817.68904372715
0.7596175.31670804521887.52520583167
0.7696592.76107104091952.96171107419
0.7797031.49988290932016.00080384315
0.7897492.1516960442078.79372456836
0.7997975.41451378922142.44734235441
0.898481.72060447012205.57989372638
0.8199010.73821317632263.67786193543
0.8299560.83547996212309.80037820778
0.83100128.6536682752335.31344718048
0.84100708.9383381462331.83242163303
0.85101294.7485096832292.74563281985
0.86101878.1123280092215.22341735389
0.87102451.1330443922101.32739000362
0.88103007.4794393371958.7825088355
0.89103544.1284991141801.0790802205
0.9104063.1838829761646.98982710713
0.91104573.6013614751518.85682347702
0.92105092.6919207991439.83123835588
0.93105647.1033233181430.08264367565
0.94106271.9985035991503.27909521814
0.95107004.8565865391660.44865434193
0.96107868.0739971021859.64412636646
0.97108837.4975413671961.80600948562
0.98109808.6941758891749.01186173035
0.99110596.7182326911155.77881876344


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')