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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, 23 Feb 2016 12:08:03 +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/Feb/23/t1456229351e63c4ih0ixwqss5.htm/, Retrieved Sun, 05 May 2024 22:36:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292506, Retrieved Sun, 05 May 2024 22:36:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

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] [opdr 4 IKO] [2016-02-23 12:08:03] [6bb7048e855cced252efb5418d255fa6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109337
109078
108293
106534
99197
103493
130676
137448
134704
123725
118277
121225
120528
118240
112514
107304
100001
102082
130455
135574
132540
119920
112454
109415
109843
106365
102304
97968
92462
92286
120092
126656
124144
114045
108120
105698
111203
110030
104009
99772
96301
97680
121563
134210
133111
124527
117589
115699
117830
115874
111267
107985
102185
102101
128932
135782
136971
126292
119260
117359
119818
116059
110046
104100
97981
97527
123700
129678
130790
120961
114232
110518
110959
108443
103977
97126
90860
91959
113735
119713
121905
112442
106728
104906

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292506&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292506&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292506&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0191278.3245468326949.451033618975
0.0291939.35965680541086.83117104664
0.0392723.66705815091572.04341761504
0.0493612.46087229592025.33961907585
0.0594562.93878837362192.02800131261
0.0695488.17443738232060.22200146131
0.0796310.78923209091774.13274069309
0.0897001.4705737021503.93917545113
0.0997577.75634915711358.29485304643
0.198080.92760340521355.14107399218
0.1198552.76938916241447.0930903546
0.1299022.38483465451574.22700625614
0.1399503.14053245231690.79375112147
0.1499995.74388419911771.89297298697
0.15100493.5119448351809.04556315598
0.16100987.3412865191806.78488451384
0.17101469.2441131431777.39486045247
0.18101934.2013498271736.17953681861
0.19102380.5717728311696.57643619069
0.2102809.5165488731667.36983916426
0.21103223.9368575471652.4888335798
0.22103627.3404786551651.04699473003
0.23104022.9112128571658.79910878246
0.24104412.9081136481670.31235546929
0.25104798.4072269281679.80795212384
0.26105179.3297610031682.5273268707
0.27105554.6709797121675.18083941439
0.28105922.8397553651656.17965640332
0.29106282.0279693731626.05170959133
0.3106630.5455870551586.41299301098
0.31106967.0785080271540.06798148789
0.32107290.8497021491489.95271940189
0.33107601.6860023781439.46963900307
0.34107900.0092175281391.27955035997
0.35108186.7783146431348.0554397066
0.36108463.4091409741311.6398545572
0.37108731.6916474421283.9500085974
0.38108993.7151944671266.47212838158
0.39109251.8035724771260.10160087126
0.4109508.4551970541266.20840161394
0.41109766.2815380331285.38231463607
0.42110027.9379147331317.80748370643
0.43110296.0440954261363.20591418629
0.44110573.0960189961420.39725957422
0.45110861.3729114071488.46411729088
0.46111162.845246471565.14184927438
0.47111479.0884300161648.04761521627
0.48111811.2055769451734.77752543373
0.49112159.7614698261822.19449066221
0.5112524.7297009481907.19716738448
0.51112905.4563946291986.44906598469
0.52113300.6462060892056.79923046584
0.53113708.3782410582114.64511355647
0.54114126.159694142157.56522262357
0.55114551.0223527962183.03324880124
0.56114979.6615895942189.63778028415
0.57115408.6101478952177.20577265741
0.58115834.4319339352146.29039920562
0.59116253.9165188512098.64628500693
0.6116664.2549892192037.23420453718
0.61117063.1827282631965.06994333756
0.62117449.0834696991885.80838487092
0.63117821.0587355221803.4481899419
0.64118178.9739459621721.40671599971
0.65118523.493990531643.58084473642
0.66118856.1156701061573.69117101003
0.67119179.193688951516.06506009676
0.68119495.9449309011474.43297262469
0.69119810.4081275571452.91692685345
0.7120127.337607741454.95452277441
0.71120452.0226219261482.12497438209
0.72120790.045229371534.84638411772
0.73121147.0124519981611.23502819541
0.74121528.3114167721707.86989327925
0.75121938.9287850061820.82063763752
0.76122383.3427744261946.3524368331
0.77122865.4437573592080.91371501384
0.78123388.3885505652221.33168086998
0.79123954.2763278872363.63867371206
0.8124563.5822849152501.00729051057
0.81125214.4103498952623.00272546649
0.82125901.7999085072715.81451434757
0.83126617.4676317562764.41675412507
0.84127350.3786397392757.21630749385
0.85128088.3359772912690.88688353683
0.86128820.3561131692573.74482730257
0.87129539.1017932172425.93669033246
0.88130242.3358755612273.62995819889
0.89130932.5130133552138.96199923989
0.9131614.3358222372029.26853109973
0.91132291.1452419221932.67732885616
0.92132961.8977477421825.79633520147
0.93133620.7022831171687.80233611736
0.94134260.143524411513.82364351162
0.95134877.6089061921321.5808276181
0.96135480.1220843981148.48000511651
0.97136078.6614620861020.07773049678
0.98136662.964976642884.554714317918
0.99137163.099954826659.998923055142

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91278.3245468326 & 949.451033618975 \tabularnewline
0.02 & 91939.3596568054 & 1086.83117104664 \tabularnewline
0.03 & 92723.6670581509 & 1572.04341761504 \tabularnewline
0.04 & 93612.4608722959 & 2025.33961907585 \tabularnewline
0.05 & 94562.9387883736 & 2192.02800131261 \tabularnewline
0.06 & 95488.1744373823 & 2060.22200146131 \tabularnewline
0.07 & 96310.7892320909 & 1774.13274069309 \tabularnewline
0.08 & 97001.470573702 & 1503.93917545113 \tabularnewline
0.09 & 97577.7563491571 & 1358.29485304643 \tabularnewline
0.1 & 98080.9276034052 & 1355.14107399218 \tabularnewline
0.11 & 98552.7693891624 & 1447.0930903546 \tabularnewline
0.12 & 99022.3848346545 & 1574.22700625614 \tabularnewline
0.13 & 99503.1405324523 & 1690.79375112147 \tabularnewline
0.14 & 99995.7438841991 & 1771.89297298697 \tabularnewline
0.15 & 100493.511944835 & 1809.04556315598 \tabularnewline
0.16 & 100987.341286519 & 1806.78488451384 \tabularnewline
0.17 & 101469.244113143 & 1777.39486045247 \tabularnewline
0.18 & 101934.201349827 & 1736.17953681861 \tabularnewline
0.19 & 102380.571772831 & 1696.57643619069 \tabularnewline
0.2 & 102809.516548873 & 1667.36983916426 \tabularnewline
0.21 & 103223.936857547 & 1652.4888335798 \tabularnewline
0.22 & 103627.340478655 & 1651.04699473003 \tabularnewline
0.23 & 104022.911212857 & 1658.79910878246 \tabularnewline
0.24 & 104412.908113648 & 1670.31235546929 \tabularnewline
0.25 & 104798.407226928 & 1679.80795212384 \tabularnewline
0.26 & 105179.329761003 & 1682.5273268707 \tabularnewline
0.27 & 105554.670979712 & 1675.18083941439 \tabularnewline
0.28 & 105922.839755365 & 1656.17965640332 \tabularnewline
0.29 & 106282.027969373 & 1626.05170959133 \tabularnewline
0.3 & 106630.545587055 & 1586.41299301098 \tabularnewline
0.31 & 106967.078508027 & 1540.06798148789 \tabularnewline
0.32 & 107290.849702149 & 1489.95271940189 \tabularnewline
0.33 & 107601.686002378 & 1439.46963900307 \tabularnewline
0.34 & 107900.009217528 & 1391.27955035997 \tabularnewline
0.35 & 108186.778314643 & 1348.0554397066 \tabularnewline
0.36 & 108463.409140974 & 1311.6398545572 \tabularnewline
0.37 & 108731.691647442 & 1283.9500085974 \tabularnewline
0.38 & 108993.715194467 & 1266.47212838158 \tabularnewline
0.39 & 109251.803572477 & 1260.10160087126 \tabularnewline
0.4 & 109508.455197054 & 1266.20840161394 \tabularnewline
0.41 & 109766.281538033 & 1285.38231463607 \tabularnewline
0.42 & 110027.937914733 & 1317.80748370643 \tabularnewline
0.43 & 110296.044095426 & 1363.20591418629 \tabularnewline
0.44 & 110573.096018996 & 1420.39725957422 \tabularnewline
0.45 & 110861.372911407 & 1488.46411729088 \tabularnewline
0.46 & 111162.84524647 & 1565.14184927438 \tabularnewline
0.47 & 111479.088430016 & 1648.04761521627 \tabularnewline
0.48 & 111811.205576945 & 1734.77752543373 \tabularnewline
0.49 & 112159.761469826 & 1822.19449066221 \tabularnewline
0.5 & 112524.729700948 & 1907.19716738448 \tabularnewline
0.51 & 112905.456394629 & 1986.44906598469 \tabularnewline
0.52 & 113300.646206089 & 2056.79923046584 \tabularnewline
0.53 & 113708.378241058 & 2114.64511355647 \tabularnewline
0.54 & 114126.15969414 & 2157.56522262357 \tabularnewline
0.55 & 114551.022352796 & 2183.03324880124 \tabularnewline
0.56 & 114979.661589594 & 2189.63778028415 \tabularnewline
0.57 & 115408.610147895 & 2177.20577265741 \tabularnewline
0.58 & 115834.431933935 & 2146.29039920562 \tabularnewline
0.59 & 116253.916518851 & 2098.64628500693 \tabularnewline
0.6 & 116664.254989219 & 2037.23420453718 \tabularnewline
0.61 & 117063.182728263 & 1965.06994333756 \tabularnewline
0.62 & 117449.083469699 & 1885.80838487092 \tabularnewline
0.63 & 117821.058735522 & 1803.4481899419 \tabularnewline
0.64 & 118178.973945962 & 1721.40671599971 \tabularnewline
0.65 & 118523.49399053 & 1643.58084473642 \tabularnewline
0.66 & 118856.115670106 & 1573.69117101003 \tabularnewline
0.67 & 119179.19368895 & 1516.06506009676 \tabularnewline
0.68 & 119495.944930901 & 1474.43297262469 \tabularnewline
0.69 & 119810.408127557 & 1452.91692685345 \tabularnewline
0.7 & 120127.33760774 & 1454.95452277441 \tabularnewline
0.71 & 120452.022621926 & 1482.12497438209 \tabularnewline
0.72 & 120790.04522937 & 1534.84638411772 \tabularnewline
0.73 & 121147.012451998 & 1611.23502819541 \tabularnewline
0.74 & 121528.311416772 & 1707.86989327925 \tabularnewline
0.75 & 121938.928785006 & 1820.82063763752 \tabularnewline
0.76 & 122383.342774426 & 1946.3524368331 \tabularnewline
0.77 & 122865.443757359 & 2080.91371501384 \tabularnewline
0.78 & 123388.388550565 & 2221.33168086998 \tabularnewline
0.79 & 123954.276327887 & 2363.63867371206 \tabularnewline
0.8 & 124563.582284915 & 2501.00729051057 \tabularnewline
0.81 & 125214.410349895 & 2623.00272546649 \tabularnewline
0.82 & 125901.799908507 & 2715.81451434757 \tabularnewline
0.83 & 126617.467631756 & 2764.41675412507 \tabularnewline
0.84 & 127350.378639739 & 2757.21630749385 \tabularnewline
0.85 & 128088.335977291 & 2690.88688353683 \tabularnewline
0.86 & 128820.356113169 & 2573.74482730257 \tabularnewline
0.87 & 129539.101793217 & 2425.93669033246 \tabularnewline
0.88 & 130242.335875561 & 2273.62995819889 \tabularnewline
0.89 & 130932.513013355 & 2138.96199923989 \tabularnewline
0.9 & 131614.335822237 & 2029.26853109973 \tabularnewline
0.91 & 132291.145241922 & 1932.67732885616 \tabularnewline
0.92 & 132961.897747742 & 1825.79633520147 \tabularnewline
0.93 & 133620.702283117 & 1687.80233611736 \tabularnewline
0.94 & 134260.14352441 & 1513.82364351162 \tabularnewline
0.95 & 134877.608906192 & 1321.5808276181 \tabularnewline
0.96 & 135480.122084398 & 1148.48000511651 \tabularnewline
0.97 & 136078.661462086 & 1020.07773049678 \tabularnewline
0.98 & 136662.964976642 & 884.554714317918 \tabularnewline
0.99 & 137163.099954826 & 659.998923055142 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292506&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]91278.3245468326[/C][C]949.451033618975[/C][/ROW]
[ROW][C]0.02[/C][C]91939.3596568054[/C][C]1086.83117104664[/C][/ROW]
[ROW][C]0.03[/C][C]92723.6670581509[/C][C]1572.04341761504[/C][/ROW]
[ROW][C]0.04[/C][C]93612.4608722959[/C][C]2025.33961907585[/C][/ROW]
[ROW][C]0.05[/C][C]94562.9387883736[/C][C]2192.02800131261[/C][/ROW]
[ROW][C]0.06[/C][C]95488.1744373823[/C][C]2060.22200146131[/C][/ROW]
[ROW][C]0.07[/C][C]96310.7892320909[/C][C]1774.13274069309[/C][/ROW]
[ROW][C]0.08[/C][C]97001.470573702[/C][C]1503.93917545113[/C][/ROW]
[ROW][C]0.09[/C][C]97577.7563491571[/C][C]1358.29485304643[/C][/ROW]
[ROW][C]0.1[/C][C]98080.9276034052[/C][C]1355.14107399218[/C][/ROW]
[ROW][C]0.11[/C][C]98552.7693891624[/C][C]1447.0930903546[/C][/ROW]
[ROW][C]0.12[/C][C]99022.3848346545[/C][C]1574.22700625614[/C][/ROW]
[ROW][C]0.13[/C][C]99503.1405324523[/C][C]1690.79375112147[/C][/ROW]
[ROW][C]0.14[/C][C]99995.7438841991[/C][C]1771.89297298697[/C][/ROW]
[ROW][C]0.15[/C][C]100493.511944835[/C][C]1809.04556315598[/C][/ROW]
[ROW][C]0.16[/C][C]100987.341286519[/C][C]1806.78488451384[/C][/ROW]
[ROW][C]0.17[/C][C]101469.244113143[/C][C]1777.39486045247[/C][/ROW]
[ROW][C]0.18[/C][C]101934.201349827[/C][C]1736.17953681861[/C][/ROW]
[ROW][C]0.19[/C][C]102380.571772831[/C][C]1696.57643619069[/C][/ROW]
[ROW][C]0.2[/C][C]102809.516548873[/C][C]1667.36983916426[/C][/ROW]
[ROW][C]0.21[/C][C]103223.936857547[/C][C]1652.4888335798[/C][/ROW]
[ROW][C]0.22[/C][C]103627.340478655[/C][C]1651.04699473003[/C][/ROW]
[ROW][C]0.23[/C][C]104022.911212857[/C][C]1658.79910878246[/C][/ROW]
[ROW][C]0.24[/C][C]104412.908113648[/C][C]1670.31235546929[/C][/ROW]
[ROW][C]0.25[/C][C]104798.407226928[/C][C]1679.80795212384[/C][/ROW]
[ROW][C]0.26[/C][C]105179.329761003[/C][C]1682.5273268707[/C][/ROW]
[ROW][C]0.27[/C][C]105554.670979712[/C][C]1675.18083941439[/C][/ROW]
[ROW][C]0.28[/C][C]105922.839755365[/C][C]1656.17965640332[/C][/ROW]
[ROW][C]0.29[/C][C]106282.027969373[/C][C]1626.05170959133[/C][/ROW]
[ROW][C]0.3[/C][C]106630.545587055[/C][C]1586.41299301098[/C][/ROW]
[ROW][C]0.31[/C][C]106967.078508027[/C][C]1540.06798148789[/C][/ROW]
[ROW][C]0.32[/C][C]107290.849702149[/C][C]1489.95271940189[/C][/ROW]
[ROW][C]0.33[/C][C]107601.686002378[/C][C]1439.46963900307[/C][/ROW]
[ROW][C]0.34[/C][C]107900.009217528[/C][C]1391.27955035997[/C][/ROW]
[ROW][C]0.35[/C][C]108186.778314643[/C][C]1348.0554397066[/C][/ROW]
[ROW][C]0.36[/C][C]108463.409140974[/C][C]1311.6398545572[/C][/ROW]
[ROW][C]0.37[/C][C]108731.691647442[/C][C]1283.9500085974[/C][/ROW]
[ROW][C]0.38[/C][C]108993.715194467[/C][C]1266.47212838158[/C][/ROW]
[ROW][C]0.39[/C][C]109251.803572477[/C][C]1260.10160087126[/C][/ROW]
[ROW][C]0.4[/C][C]109508.455197054[/C][C]1266.20840161394[/C][/ROW]
[ROW][C]0.41[/C][C]109766.281538033[/C][C]1285.38231463607[/C][/ROW]
[ROW][C]0.42[/C][C]110027.937914733[/C][C]1317.80748370643[/C][/ROW]
[ROW][C]0.43[/C][C]110296.044095426[/C][C]1363.20591418629[/C][/ROW]
[ROW][C]0.44[/C][C]110573.096018996[/C][C]1420.39725957422[/C][/ROW]
[ROW][C]0.45[/C][C]110861.372911407[/C][C]1488.46411729088[/C][/ROW]
[ROW][C]0.46[/C][C]111162.84524647[/C][C]1565.14184927438[/C][/ROW]
[ROW][C]0.47[/C][C]111479.088430016[/C][C]1648.04761521627[/C][/ROW]
[ROW][C]0.48[/C][C]111811.205576945[/C][C]1734.77752543373[/C][/ROW]
[ROW][C]0.49[/C][C]112159.761469826[/C][C]1822.19449066221[/C][/ROW]
[ROW][C]0.5[/C][C]112524.729700948[/C][C]1907.19716738448[/C][/ROW]
[ROW][C]0.51[/C][C]112905.456394629[/C][C]1986.44906598469[/C][/ROW]
[ROW][C]0.52[/C][C]113300.646206089[/C][C]2056.79923046584[/C][/ROW]
[ROW][C]0.53[/C][C]113708.378241058[/C][C]2114.64511355647[/C][/ROW]
[ROW][C]0.54[/C][C]114126.15969414[/C][C]2157.56522262357[/C][/ROW]
[ROW][C]0.55[/C][C]114551.022352796[/C][C]2183.03324880124[/C][/ROW]
[ROW][C]0.56[/C][C]114979.661589594[/C][C]2189.63778028415[/C][/ROW]
[ROW][C]0.57[/C][C]115408.610147895[/C][C]2177.20577265741[/C][/ROW]
[ROW][C]0.58[/C][C]115834.431933935[/C][C]2146.29039920562[/C][/ROW]
[ROW][C]0.59[/C][C]116253.916518851[/C][C]2098.64628500693[/C][/ROW]
[ROW][C]0.6[/C][C]116664.254989219[/C][C]2037.23420453718[/C][/ROW]
[ROW][C]0.61[/C][C]117063.182728263[/C][C]1965.06994333756[/C][/ROW]
[ROW][C]0.62[/C][C]117449.083469699[/C][C]1885.80838487092[/C][/ROW]
[ROW][C]0.63[/C][C]117821.058735522[/C][C]1803.4481899419[/C][/ROW]
[ROW][C]0.64[/C][C]118178.973945962[/C][C]1721.40671599971[/C][/ROW]
[ROW][C]0.65[/C][C]118523.49399053[/C][C]1643.58084473642[/C][/ROW]
[ROW][C]0.66[/C][C]118856.115670106[/C][C]1573.69117101003[/C][/ROW]
[ROW][C]0.67[/C][C]119179.19368895[/C][C]1516.06506009676[/C][/ROW]
[ROW][C]0.68[/C][C]119495.944930901[/C][C]1474.43297262469[/C][/ROW]
[ROW][C]0.69[/C][C]119810.408127557[/C][C]1452.91692685345[/C][/ROW]
[ROW][C]0.7[/C][C]120127.33760774[/C][C]1454.95452277441[/C][/ROW]
[ROW][C]0.71[/C][C]120452.022621926[/C][C]1482.12497438209[/C][/ROW]
[ROW][C]0.72[/C][C]120790.04522937[/C][C]1534.84638411772[/C][/ROW]
[ROW][C]0.73[/C][C]121147.012451998[/C][C]1611.23502819541[/C][/ROW]
[ROW][C]0.74[/C][C]121528.311416772[/C][C]1707.86989327925[/C][/ROW]
[ROW][C]0.75[/C][C]121938.928785006[/C][C]1820.82063763752[/C][/ROW]
[ROW][C]0.76[/C][C]122383.342774426[/C][C]1946.3524368331[/C][/ROW]
[ROW][C]0.77[/C][C]122865.443757359[/C][C]2080.91371501384[/C][/ROW]
[ROW][C]0.78[/C][C]123388.388550565[/C][C]2221.33168086998[/C][/ROW]
[ROW][C]0.79[/C][C]123954.276327887[/C][C]2363.63867371206[/C][/ROW]
[ROW][C]0.8[/C][C]124563.582284915[/C][C]2501.00729051057[/C][/ROW]
[ROW][C]0.81[/C][C]125214.410349895[/C][C]2623.00272546649[/C][/ROW]
[ROW][C]0.82[/C][C]125901.799908507[/C][C]2715.81451434757[/C][/ROW]
[ROW][C]0.83[/C][C]126617.467631756[/C][C]2764.41675412507[/C][/ROW]
[ROW][C]0.84[/C][C]127350.378639739[/C][C]2757.21630749385[/C][/ROW]
[ROW][C]0.85[/C][C]128088.335977291[/C][C]2690.88688353683[/C][/ROW]
[ROW][C]0.86[/C][C]128820.356113169[/C][C]2573.74482730257[/C][/ROW]
[ROW][C]0.87[/C][C]129539.101793217[/C][C]2425.93669033246[/C][/ROW]
[ROW][C]0.88[/C][C]130242.335875561[/C][C]2273.62995819889[/C][/ROW]
[ROW][C]0.89[/C][C]130932.513013355[/C][C]2138.96199923989[/C][/ROW]
[ROW][C]0.9[/C][C]131614.335822237[/C][C]2029.26853109973[/C][/ROW]
[ROW][C]0.91[/C][C]132291.145241922[/C][C]1932.67732885616[/C][/ROW]
[ROW][C]0.92[/C][C]132961.897747742[/C][C]1825.79633520147[/C][/ROW]
[ROW][C]0.93[/C][C]133620.702283117[/C][C]1687.80233611736[/C][/ROW]
[ROW][C]0.94[/C][C]134260.14352441[/C][C]1513.82364351162[/C][/ROW]
[ROW][C]0.95[/C][C]134877.608906192[/C][C]1321.5808276181[/C][/ROW]
[ROW][C]0.96[/C][C]135480.122084398[/C][C]1148.48000511651[/C][/ROW]
[ROW][C]0.97[/C][C]136078.661462086[/C][C]1020.07773049678[/C][/ROW]
[ROW][C]0.98[/C][C]136662.964976642[/C][C]884.554714317918[/C][/ROW]
[ROW][C]0.99[/C][C]137163.099954826[/C][C]659.998923055142[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292506&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292506&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
0.0191278.3245468326949.451033618975
0.0291939.35965680541086.83117104664
0.0392723.66705815091572.04341761504
0.0493612.46087229592025.33961907585
0.0594562.93878837362192.02800131261
0.0695488.17443738232060.22200146131
0.0796310.78923209091774.13274069309
0.0897001.4705737021503.93917545113
0.0997577.75634915711358.29485304643
0.198080.92760340521355.14107399218
0.1198552.76938916241447.0930903546
0.1299022.38483465451574.22700625614
0.1399503.14053245231690.79375112147
0.1499995.74388419911771.89297298697
0.15100493.5119448351809.04556315598
0.16100987.3412865191806.78488451384
0.17101469.2441131431777.39486045247
0.18101934.2013498271736.17953681861
0.19102380.5717728311696.57643619069
0.2102809.5165488731667.36983916426
0.21103223.9368575471652.4888335798
0.22103627.3404786551651.04699473003
0.23104022.9112128571658.79910878246
0.24104412.9081136481670.31235546929
0.25104798.4072269281679.80795212384
0.26105179.3297610031682.5273268707
0.27105554.6709797121675.18083941439
0.28105922.8397553651656.17965640332
0.29106282.0279693731626.05170959133
0.3106630.5455870551586.41299301098
0.31106967.0785080271540.06798148789
0.32107290.8497021491489.95271940189
0.33107601.6860023781439.46963900307
0.34107900.0092175281391.27955035997
0.35108186.7783146431348.0554397066
0.36108463.4091409741311.6398545572
0.37108731.6916474421283.9500085974
0.38108993.7151944671266.47212838158
0.39109251.8035724771260.10160087126
0.4109508.4551970541266.20840161394
0.41109766.2815380331285.38231463607
0.42110027.9379147331317.80748370643
0.43110296.0440954261363.20591418629
0.44110573.0960189961420.39725957422
0.45110861.3729114071488.46411729088
0.46111162.845246471565.14184927438
0.47111479.0884300161648.04761521627
0.48111811.2055769451734.77752543373
0.49112159.7614698261822.19449066221
0.5112524.7297009481907.19716738448
0.51112905.4563946291986.44906598469
0.52113300.6462060892056.79923046584
0.53113708.3782410582114.64511355647
0.54114126.159694142157.56522262357
0.55114551.0223527962183.03324880124
0.56114979.6615895942189.63778028415
0.57115408.6101478952177.20577265741
0.58115834.4319339352146.29039920562
0.59116253.9165188512098.64628500693
0.6116664.2549892192037.23420453718
0.61117063.1827282631965.06994333756
0.62117449.0834696991885.80838487092
0.63117821.0587355221803.4481899419
0.64118178.9739459621721.40671599971
0.65118523.493990531643.58084473642
0.66118856.1156701061573.69117101003
0.67119179.193688951516.06506009676
0.68119495.9449309011474.43297262469
0.69119810.4081275571452.91692685345
0.7120127.337607741454.95452277441
0.71120452.0226219261482.12497438209
0.72120790.045229371534.84638411772
0.73121147.0124519981611.23502819541
0.74121528.3114167721707.86989327925
0.75121938.9287850061820.82063763752
0.76122383.3427744261946.3524368331
0.77122865.4437573592080.91371501384
0.78123388.3885505652221.33168086998
0.79123954.2763278872363.63867371206
0.8124563.5822849152501.00729051057
0.81125214.4103498952623.00272546649
0.82125901.7999085072715.81451434757
0.83126617.4676317562764.41675412507
0.84127350.3786397392757.21630749385
0.85128088.3359772912690.88688353683
0.86128820.3561131692573.74482730257
0.87129539.1017932172425.93669033246
0.88130242.3358755612273.62995819889
0.89130932.5130133552138.96199923989
0.9131614.3358222372029.26853109973
0.91132291.1452419221932.67732885616
0.92132961.8977477421825.79633520147
0.93133620.7022831171687.80233611736
0.94134260.143524411513.82364351162
0.95134877.6089061921321.5808276181
0.96135480.1220843981148.48000511651
0.97136078.6614620861020.07773049678
0.98136662.964976642884.554714317918
0.99137163.099954826659.998923055142


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')