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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, 08 Oct 2015 23:50:57 +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/2015/Oct/08/t14443446782tg34c7et2bm0fj.htm/, Retrieved Wed, 15 May 2024 10:55:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281688, Retrieved Wed, 15 May 2024 10:55:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Saghar Najafi Zadeh] [2015-09-24 15:02:21] [74be16979710d4c4e7c6647856088456]
- RMPD  [Univariate Data Series] [Saghar Najafi Zadeh] [2015-10-01 20:20:08] [a726dea3093235710caf789b0c5edf8a]
- RMPD    [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 21:54:37] [a726dea3093235710caf789b0c5edf8a]
- R         [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 22:35:56] [a726dea3093235710caf789b0c5edf8a]
-    D          [Harrell-Davis Quantiles] [Saghar Najafi Zadeh] [2015-10-08 22:50:57] [c23f68ac64e5ceef3ca8a84a34b0ff7e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
88.83
89.01
88.21
87.78
87.93
88.11
88.2
88.12
88.38
87.65
88.24
87.83
87.75
87.88
87.61
88.05
87.77
87.79
88.34
88.48
88.75
87.95
89.09
88.73
89.24
89.77
89.84
90.97
91.53
92.2
92.27
92.42
92.07
91.73
92.1
91.68
92.63
93.02
92.66
93.23
93.79
93.92
94.04
94.23
94.37
94.29
94.38
94
94.11
93.98
93.42
93.3
93.32
93.75
93.82
94.06
94.09
93.64
93.9
93.18
93.54
93.55
93.8
93.39
93.27
93.58
93.47
93.75
93.3
92.65
92.96
92.84
93.29
93.57
93.54
94.38
93.98
94.48
94.63
95.45
95.59
94.76
95.66
95.03
96.45
97.15
97.5
98.54
99.54
100.33
100.28
101.81
101.91
101.92
102.68
101.9
102.14
102.3
102.06
102.4
102.99
102.99
102.83
103.01
102.6
102.18
102.6
101.44

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=281688&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=281688&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281688&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
0.0187.64309246773930.0579866346032619
0.0287.69461090783420.0642713861114684
0.0387.74162012875930.0552453228992844
0.0487.77959654230860.0555928275402604
0.0587.81444551508930.069854096198559
0.0687.85213902723720.0895958281810773
0.0787.89513681471190.108796394188442
0.0887.9431942682940.125070463997132
0.0987.99507597603670.138277978421868
0.188.04977592345780.150617806996889
0.1188.10714988784440.165183514823162
0.1288.16812907012140.185779089122917
0.1388.23463373994380.215304297022235
0.1488.3093053339670.255783869284133
0.1588.39521460378570.308228928041742
0.1688.49567794398690.373474422027889
0.1788.61419809752550.453455822138009
0.1888.75440774090770.549557409282139
0.1988.91983063121170.661472452798528
0.289.11333697224950.785160680636965
0.2189.33633393192980.91267023610451
0.2289.58791411182391.0323665641361
0.2389.86428497156731.13086684245941
0.2490.15876030670541.19639192881292
0.2590.46242118654231.22124480933016
0.2690.76532328152191.20377544064559
0.2791.05794050214151.14877652487228
0.2891.33246693339661.06564282208035
0.2991.58366782182170.966340122771593
0.391.80913428421070.863050031318887
0.3192.00898178758670.764710428859082
0.3292.18517085856360.677884529345351
0.3392.34068402893330.604645500271381
0.3492.47876884847490.54473693112826
0.3592.60238295038160.495352927285577
0.3692.71389082241260.453301366642631
0.3792.81499134151560.415840006459379
0.3892.90681301099690.38088930012576
0.3992.99009967789230.347133567120784
0.493.06541582909340.314764701404394
0.4193.13331865581970.284208267318234
0.4293.19446686192790.256438892739117
0.4393.24965857431610.232216032641897
0.4493.29980894231830.212263895835306
0.4593.34588940212890.196910053221163
0.4693.38885389877640.18559010002861
0.4793.42957334709480.178059293239149
0.4893.46879095316640.173404813380363
0.4993.50710142439930.171056689086175
0.593.54494991417820.170131379930178
0.5193.58264353349120.170243193954784
0.5293.6203691655780.17082843360919
0.5393.65821439179820.171593894062616
0.5493.69619141339790.171958513105506
0.5593.73426539482750.171975811132255
0.5693.77238825671650.171579712685015
0.5793.81053721787650.170885706368675
0.5893.84875542573260.170537647682645
0.5993.88719088226080.170824354256507
0.693.92613026889850.172495839017348
0.6193.9660264265270.176365774036189
0.6294.00752183773880.183378680915268
0.6394.05147452521360.194049017366013
0.6494.09899572738910.209845565499127
0.6594.15150869796310.232062072808297
0.6694.21083374545370.261828949521151
0.6794.27929646837610.301726322187922
0.6894.35984622790730.35390357476999
0.6994.45616343953260.421662809769762
0.794.57272952372310.50753427939296
0.7194.71483174825810.614154435301435
0.7294.88847320221230.743245375453781
0.7395.10015215879710.895394509984695
0.7495.35646626869251.06952637557671
0.7595.66349485695331.26202687901116
0.7696.02593310633991.46526820931033
0.7796.44600891785711.6677234576022
0.7896.92230597502111.85385063081559
0.7997.44872160023912.00498581614964
0.898.01386340608362.10225566131732
0.8198.60119096072932.1291945234544
0.8299.19011338665832.07599243496289
0.8399.75806712761081.94201546583222
0.84100.283352831331.73742629671052
0.85100.7482565340911.48243045643401
0.86101.1417846287451.20460428826398
0.87101.4612901511740.933814658013668
0.88101.7124426516730.696728434285329
0.89101.9074130690990.511239466383514
0.9102.061702780740.383768577003281
0.91102.1905393908340.308096682353224
0.92102.305998768860.267737526010913
0.93102.4158516754660.244091981757465
0.94102.5243745654630.225465308994414
0.95102.6338629503430.209313496742696
0.96102.744180446240.193855909245051
0.97102.8491739111280.165866395893932
0.98102.9350811948440.110614657966164
0.99102.9889422276670.0455477527106014

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 87.6430924677393 & 0.0579866346032619 \tabularnewline
0.02 & 87.6946109078342 & 0.0642713861114684 \tabularnewline
0.03 & 87.7416201287593 & 0.0552453228992844 \tabularnewline
0.04 & 87.7795965423086 & 0.0555928275402604 \tabularnewline
0.05 & 87.8144455150893 & 0.069854096198559 \tabularnewline
0.06 & 87.8521390272372 & 0.0895958281810773 \tabularnewline
0.07 & 87.8951368147119 & 0.108796394188442 \tabularnewline
0.08 & 87.943194268294 & 0.125070463997132 \tabularnewline
0.09 & 87.9950759760367 & 0.138277978421868 \tabularnewline
0.1 & 88.0497759234578 & 0.150617806996889 \tabularnewline
0.11 & 88.1071498878444 & 0.165183514823162 \tabularnewline
0.12 & 88.1681290701214 & 0.185779089122917 \tabularnewline
0.13 & 88.2346337399438 & 0.215304297022235 \tabularnewline
0.14 & 88.309305333967 & 0.255783869284133 \tabularnewline
0.15 & 88.3952146037857 & 0.308228928041742 \tabularnewline
0.16 & 88.4956779439869 & 0.373474422027889 \tabularnewline
0.17 & 88.6141980975255 & 0.453455822138009 \tabularnewline
0.18 & 88.7544077409077 & 0.549557409282139 \tabularnewline
0.19 & 88.9198306312117 & 0.661472452798528 \tabularnewline
0.2 & 89.1133369722495 & 0.785160680636965 \tabularnewline
0.21 & 89.3363339319298 & 0.91267023610451 \tabularnewline
0.22 & 89.5879141118239 & 1.0323665641361 \tabularnewline
0.23 & 89.8642849715673 & 1.13086684245941 \tabularnewline
0.24 & 90.1587603067054 & 1.19639192881292 \tabularnewline
0.25 & 90.4624211865423 & 1.22124480933016 \tabularnewline
0.26 & 90.7653232815219 & 1.20377544064559 \tabularnewline
0.27 & 91.0579405021415 & 1.14877652487228 \tabularnewline
0.28 & 91.3324669333966 & 1.06564282208035 \tabularnewline
0.29 & 91.5836678218217 & 0.966340122771593 \tabularnewline
0.3 & 91.8091342842107 & 0.863050031318887 \tabularnewline
0.31 & 92.0089817875867 & 0.764710428859082 \tabularnewline
0.32 & 92.1851708585636 & 0.677884529345351 \tabularnewline
0.33 & 92.3406840289333 & 0.604645500271381 \tabularnewline
0.34 & 92.4787688484749 & 0.54473693112826 \tabularnewline
0.35 & 92.6023829503816 & 0.495352927285577 \tabularnewline
0.36 & 92.7138908224126 & 0.453301366642631 \tabularnewline
0.37 & 92.8149913415156 & 0.415840006459379 \tabularnewline
0.38 & 92.9068130109969 & 0.38088930012576 \tabularnewline
0.39 & 92.9900996778923 & 0.347133567120784 \tabularnewline
0.4 & 93.0654158290934 & 0.314764701404394 \tabularnewline
0.41 & 93.1333186558197 & 0.284208267318234 \tabularnewline
0.42 & 93.1944668619279 & 0.256438892739117 \tabularnewline
0.43 & 93.2496585743161 & 0.232216032641897 \tabularnewline
0.44 & 93.2998089423183 & 0.212263895835306 \tabularnewline
0.45 & 93.3458894021289 & 0.196910053221163 \tabularnewline
0.46 & 93.3888538987764 & 0.18559010002861 \tabularnewline
0.47 & 93.4295733470948 & 0.178059293239149 \tabularnewline
0.48 & 93.4687909531664 & 0.173404813380363 \tabularnewline
0.49 & 93.5071014243993 & 0.171056689086175 \tabularnewline
0.5 & 93.5449499141782 & 0.170131379930178 \tabularnewline
0.51 & 93.5826435334912 & 0.170243193954784 \tabularnewline
0.52 & 93.620369165578 & 0.17082843360919 \tabularnewline
0.53 & 93.6582143917982 & 0.171593894062616 \tabularnewline
0.54 & 93.6961914133979 & 0.171958513105506 \tabularnewline
0.55 & 93.7342653948275 & 0.171975811132255 \tabularnewline
0.56 & 93.7723882567165 & 0.171579712685015 \tabularnewline
0.57 & 93.8105372178765 & 0.170885706368675 \tabularnewline
0.58 & 93.8487554257326 & 0.170537647682645 \tabularnewline
0.59 & 93.8871908822608 & 0.170824354256507 \tabularnewline
0.6 & 93.9261302688985 & 0.172495839017348 \tabularnewline
0.61 & 93.966026426527 & 0.176365774036189 \tabularnewline
0.62 & 94.0075218377388 & 0.183378680915268 \tabularnewline
0.63 & 94.0514745252136 & 0.194049017366013 \tabularnewline
0.64 & 94.0989957273891 & 0.209845565499127 \tabularnewline
0.65 & 94.1515086979631 & 0.232062072808297 \tabularnewline
0.66 & 94.2108337454537 & 0.261828949521151 \tabularnewline
0.67 & 94.2792964683761 & 0.301726322187922 \tabularnewline
0.68 & 94.3598462279073 & 0.35390357476999 \tabularnewline
0.69 & 94.4561634395326 & 0.421662809769762 \tabularnewline
0.7 & 94.5727295237231 & 0.50753427939296 \tabularnewline
0.71 & 94.7148317482581 & 0.614154435301435 \tabularnewline
0.72 & 94.8884732022123 & 0.743245375453781 \tabularnewline
0.73 & 95.1001521587971 & 0.895394509984695 \tabularnewline
0.74 & 95.3564662686925 & 1.06952637557671 \tabularnewline
0.75 & 95.6634948569533 & 1.26202687901116 \tabularnewline
0.76 & 96.0259331063399 & 1.46526820931033 \tabularnewline
0.77 & 96.4460089178571 & 1.6677234576022 \tabularnewline
0.78 & 96.9223059750211 & 1.85385063081559 \tabularnewline
0.79 & 97.4487216002391 & 2.00498581614964 \tabularnewline
0.8 & 98.0138634060836 & 2.10225566131732 \tabularnewline
0.81 & 98.6011909607293 & 2.1291945234544 \tabularnewline
0.82 & 99.1901133866583 & 2.07599243496289 \tabularnewline
0.83 & 99.7580671276108 & 1.94201546583222 \tabularnewline
0.84 & 100.28335283133 & 1.73742629671052 \tabularnewline
0.85 & 100.748256534091 & 1.48243045643401 \tabularnewline
0.86 & 101.141784628745 & 1.20460428826398 \tabularnewline
0.87 & 101.461290151174 & 0.933814658013668 \tabularnewline
0.88 & 101.712442651673 & 0.696728434285329 \tabularnewline
0.89 & 101.907413069099 & 0.511239466383514 \tabularnewline
0.9 & 102.06170278074 & 0.383768577003281 \tabularnewline
0.91 & 102.190539390834 & 0.308096682353224 \tabularnewline
0.92 & 102.30599876886 & 0.267737526010913 \tabularnewline
0.93 & 102.415851675466 & 0.244091981757465 \tabularnewline
0.94 & 102.524374565463 & 0.225465308994414 \tabularnewline
0.95 & 102.633862950343 & 0.209313496742696 \tabularnewline
0.96 & 102.74418044624 & 0.193855909245051 \tabularnewline
0.97 & 102.849173911128 & 0.165866395893932 \tabularnewline
0.98 & 102.935081194844 & 0.110614657966164 \tabularnewline
0.99 & 102.988942227667 & 0.0455477527106014 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281688&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]87.6430924677393[/C][C]0.0579866346032619[/C][/ROW]
[ROW][C]0.02[/C][C]87.6946109078342[/C][C]0.0642713861114684[/C][/ROW]
[ROW][C]0.03[/C][C]87.7416201287593[/C][C]0.0552453228992844[/C][/ROW]
[ROW][C]0.04[/C][C]87.7795965423086[/C][C]0.0555928275402604[/C][/ROW]
[ROW][C]0.05[/C][C]87.8144455150893[/C][C]0.069854096198559[/C][/ROW]
[ROW][C]0.06[/C][C]87.8521390272372[/C][C]0.0895958281810773[/C][/ROW]
[ROW][C]0.07[/C][C]87.8951368147119[/C][C]0.108796394188442[/C][/ROW]
[ROW][C]0.08[/C][C]87.943194268294[/C][C]0.125070463997132[/C][/ROW]
[ROW][C]0.09[/C][C]87.9950759760367[/C][C]0.138277978421868[/C][/ROW]
[ROW][C]0.1[/C][C]88.0497759234578[/C][C]0.150617806996889[/C][/ROW]
[ROW][C]0.11[/C][C]88.1071498878444[/C][C]0.165183514823162[/C][/ROW]
[ROW][C]0.12[/C][C]88.1681290701214[/C][C]0.185779089122917[/C][/ROW]
[ROW][C]0.13[/C][C]88.2346337399438[/C][C]0.215304297022235[/C][/ROW]
[ROW][C]0.14[/C][C]88.309305333967[/C][C]0.255783869284133[/C][/ROW]
[ROW][C]0.15[/C][C]88.3952146037857[/C][C]0.308228928041742[/C][/ROW]
[ROW][C]0.16[/C][C]88.4956779439869[/C][C]0.373474422027889[/C][/ROW]
[ROW][C]0.17[/C][C]88.6141980975255[/C][C]0.453455822138009[/C][/ROW]
[ROW][C]0.18[/C][C]88.7544077409077[/C][C]0.549557409282139[/C][/ROW]
[ROW][C]0.19[/C][C]88.9198306312117[/C][C]0.661472452798528[/C][/ROW]
[ROW][C]0.2[/C][C]89.1133369722495[/C][C]0.785160680636965[/C][/ROW]
[ROW][C]0.21[/C][C]89.3363339319298[/C][C]0.91267023610451[/C][/ROW]
[ROW][C]0.22[/C][C]89.5879141118239[/C][C]1.0323665641361[/C][/ROW]
[ROW][C]0.23[/C][C]89.8642849715673[/C][C]1.13086684245941[/C][/ROW]
[ROW][C]0.24[/C][C]90.1587603067054[/C][C]1.19639192881292[/C][/ROW]
[ROW][C]0.25[/C][C]90.4624211865423[/C][C]1.22124480933016[/C][/ROW]
[ROW][C]0.26[/C][C]90.7653232815219[/C][C]1.20377544064559[/C][/ROW]
[ROW][C]0.27[/C][C]91.0579405021415[/C][C]1.14877652487228[/C][/ROW]
[ROW][C]0.28[/C][C]91.3324669333966[/C][C]1.06564282208035[/C][/ROW]
[ROW][C]0.29[/C][C]91.5836678218217[/C][C]0.966340122771593[/C][/ROW]
[ROW][C]0.3[/C][C]91.8091342842107[/C][C]0.863050031318887[/C][/ROW]
[ROW][C]0.31[/C][C]92.0089817875867[/C][C]0.764710428859082[/C][/ROW]
[ROW][C]0.32[/C][C]92.1851708585636[/C][C]0.677884529345351[/C][/ROW]
[ROW][C]0.33[/C][C]92.3406840289333[/C][C]0.604645500271381[/C][/ROW]
[ROW][C]0.34[/C][C]92.4787688484749[/C][C]0.54473693112826[/C][/ROW]
[ROW][C]0.35[/C][C]92.6023829503816[/C][C]0.495352927285577[/C][/ROW]
[ROW][C]0.36[/C][C]92.7138908224126[/C][C]0.453301366642631[/C][/ROW]
[ROW][C]0.37[/C][C]92.8149913415156[/C][C]0.415840006459379[/C][/ROW]
[ROW][C]0.38[/C][C]92.9068130109969[/C][C]0.38088930012576[/C][/ROW]
[ROW][C]0.39[/C][C]92.9900996778923[/C][C]0.347133567120784[/C][/ROW]
[ROW][C]0.4[/C][C]93.0654158290934[/C][C]0.314764701404394[/C][/ROW]
[ROW][C]0.41[/C][C]93.1333186558197[/C][C]0.284208267318234[/C][/ROW]
[ROW][C]0.42[/C][C]93.1944668619279[/C][C]0.256438892739117[/C][/ROW]
[ROW][C]0.43[/C][C]93.2496585743161[/C][C]0.232216032641897[/C][/ROW]
[ROW][C]0.44[/C][C]93.2998089423183[/C][C]0.212263895835306[/C][/ROW]
[ROW][C]0.45[/C][C]93.3458894021289[/C][C]0.196910053221163[/C][/ROW]
[ROW][C]0.46[/C][C]93.3888538987764[/C][C]0.18559010002861[/C][/ROW]
[ROW][C]0.47[/C][C]93.4295733470948[/C][C]0.178059293239149[/C][/ROW]
[ROW][C]0.48[/C][C]93.4687909531664[/C][C]0.173404813380363[/C][/ROW]
[ROW][C]0.49[/C][C]93.5071014243993[/C][C]0.171056689086175[/C][/ROW]
[ROW][C]0.5[/C][C]93.5449499141782[/C][C]0.170131379930178[/C][/ROW]
[ROW][C]0.51[/C][C]93.5826435334912[/C][C]0.170243193954784[/C][/ROW]
[ROW][C]0.52[/C][C]93.620369165578[/C][C]0.17082843360919[/C][/ROW]
[ROW][C]0.53[/C][C]93.6582143917982[/C][C]0.171593894062616[/C][/ROW]
[ROW][C]0.54[/C][C]93.6961914133979[/C][C]0.171958513105506[/C][/ROW]
[ROW][C]0.55[/C][C]93.7342653948275[/C][C]0.171975811132255[/C][/ROW]
[ROW][C]0.56[/C][C]93.7723882567165[/C][C]0.171579712685015[/C][/ROW]
[ROW][C]0.57[/C][C]93.8105372178765[/C][C]0.170885706368675[/C][/ROW]
[ROW][C]0.58[/C][C]93.8487554257326[/C][C]0.170537647682645[/C][/ROW]
[ROW][C]0.59[/C][C]93.8871908822608[/C][C]0.170824354256507[/C][/ROW]
[ROW][C]0.6[/C][C]93.9261302688985[/C][C]0.172495839017348[/C][/ROW]
[ROW][C]0.61[/C][C]93.966026426527[/C][C]0.176365774036189[/C][/ROW]
[ROW][C]0.62[/C][C]94.0075218377388[/C][C]0.183378680915268[/C][/ROW]
[ROW][C]0.63[/C][C]94.0514745252136[/C][C]0.194049017366013[/C][/ROW]
[ROW][C]0.64[/C][C]94.0989957273891[/C][C]0.209845565499127[/C][/ROW]
[ROW][C]0.65[/C][C]94.1515086979631[/C][C]0.232062072808297[/C][/ROW]
[ROW][C]0.66[/C][C]94.2108337454537[/C][C]0.261828949521151[/C][/ROW]
[ROW][C]0.67[/C][C]94.2792964683761[/C][C]0.301726322187922[/C][/ROW]
[ROW][C]0.68[/C][C]94.3598462279073[/C][C]0.35390357476999[/C][/ROW]
[ROW][C]0.69[/C][C]94.4561634395326[/C][C]0.421662809769762[/C][/ROW]
[ROW][C]0.7[/C][C]94.5727295237231[/C][C]0.50753427939296[/C][/ROW]
[ROW][C]0.71[/C][C]94.7148317482581[/C][C]0.614154435301435[/C][/ROW]
[ROW][C]0.72[/C][C]94.8884732022123[/C][C]0.743245375453781[/C][/ROW]
[ROW][C]0.73[/C][C]95.1001521587971[/C][C]0.895394509984695[/C][/ROW]
[ROW][C]0.74[/C][C]95.3564662686925[/C][C]1.06952637557671[/C][/ROW]
[ROW][C]0.75[/C][C]95.6634948569533[/C][C]1.26202687901116[/C][/ROW]
[ROW][C]0.76[/C][C]96.0259331063399[/C][C]1.46526820931033[/C][/ROW]
[ROW][C]0.77[/C][C]96.4460089178571[/C][C]1.6677234576022[/C][/ROW]
[ROW][C]0.78[/C][C]96.9223059750211[/C][C]1.85385063081559[/C][/ROW]
[ROW][C]0.79[/C][C]97.4487216002391[/C][C]2.00498581614964[/C][/ROW]
[ROW][C]0.8[/C][C]98.0138634060836[/C][C]2.10225566131732[/C][/ROW]
[ROW][C]0.81[/C][C]98.6011909607293[/C][C]2.1291945234544[/C][/ROW]
[ROW][C]0.82[/C][C]99.1901133866583[/C][C]2.07599243496289[/C][/ROW]
[ROW][C]0.83[/C][C]99.7580671276108[/C][C]1.94201546583222[/C][/ROW]
[ROW][C]0.84[/C][C]100.28335283133[/C][C]1.73742629671052[/C][/ROW]
[ROW][C]0.85[/C][C]100.748256534091[/C][C]1.48243045643401[/C][/ROW]
[ROW][C]0.86[/C][C]101.141784628745[/C][C]1.20460428826398[/C][/ROW]
[ROW][C]0.87[/C][C]101.461290151174[/C][C]0.933814658013668[/C][/ROW]
[ROW][C]0.88[/C][C]101.712442651673[/C][C]0.696728434285329[/C][/ROW]
[ROW][C]0.89[/C][C]101.907413069099[/C][C]0.511239466383514[/C][/ROW]
[ROW][C]0.9[/C][C]102.06170278074[/C][C]0.383768577003281[/C][/ROW]
[ROW][C]0.91[/C][C]102.190539390834[/C][C]0.308096682353224[/C][/ROW]
[ROW][C]0.92[/C][C]102.30599876886[/C][C]0.267737526010913[/C][/ROW]
[ROW][C]0.93[/C][C]102.415851675466[/C][C]0.244091981757465[/C][/ROW]
[ROW][C]0.94[/C][C]102.524374565463[/C][C]0.225465308994414[/C][/ROW]
[ROW][C]0.95[/C][C]102.633862950343[/C][C]0.209313496742696[/C][/ROW]
[ROW][C]0.96[/C][C]102.74418044624[/C][C]0.193855909245051[/C][/ROW]
[ROW][C]0.97[/C][C]102.849173911128[/C][C]0.165866395893932[/C][/ROW]
[ROW][C]0.98[/C][C]102.935081194844[/C][C]0.110614657966164[/C][/ROW]
[ROW][C]0.99[/C][C]102.988942227667[/C][C]0.0455477527106014[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281688&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281688&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
0.0187.64309246773930.0579866346032619
0.0287.69461090783420.0642713861114684
0.0387.74162012875930.0552453228992844
0.0487.77959654230860.0555928275402604
0.0587.81444551508930.069854096198559
0.0687.85213902723720.0895958281810773
0.0787.89513681471190.108796394188442
0.0887.9431942682940.125070463997132
0.0987.99507597603670.138277978421868
0.188.04977592345780.150617806996889
0.1188.10714988784440.165183514823162
0.1288.16812907012140.185779089122917
0.1388.23463373994380.215304297022235
0.1488.3093053339670.255783869284133
0.1588.39521460378570.308228928041742
0.1688.49567794398690.373474422027889
0.1788.61419809752550.453455822138009
0.1888.75440774090770.549557409282139
0.1988.91983063121170.661472452798528
0.289.11333697224950.785160680636965
0.2189.33633393192980.91267023610451
0.2289.58791411182391.0323665641361
0.2389.86428497156731.13086684245941
0.2490.15876030670541.19639192881292
0.2590.46242118654231.22124480933016
0.2690.76532328152191.20377544064559
0.2791.05794050214151.14877652487228
0.2891.33246693339661.06564282208035
0.2991.58366782182170.966340122771593
0.391.80913428421070.863050031318887
0.3192.00898178758670.764710428859082
0.3292.18517085856360.677884529345351
0.3392.34068402893330.604645500271381
0.3492.47876884847490.54473693112826
0.3592.60238295038160.495352927285577
0.3692.71389082241260.453301366642631
0.3792.81499134151560.415840006459379
0.3892.90681301099690.38088930012576
0.3992.99009967789230.347133567120784
0.493.06541582909340.314764701404394
0.4193.13331865581970.284208267318234
0.4293.19446686192790.256438892739117
0.4393.24965857431610.232216032641897
0.4493.29980894231830.212263895835306
0.4593.34588940212890.196910053221163
0.4693.38885389877640.18559010002861
0.4793.42957334709480.178059293239149
0.4893.46879095316640.173404813380363
0.4993.50710142439930.171056689086175
0.593.54494991417820.170131379930178
0.5193.58264353349120.170243193954784
0.5293.6203691655780.17082843360919
0.5393.65821439179820.171593894062616
0.5493.69619141339790.171958513105506
0.5593.73426539482750.171975811132255
0.5693.77238825671650.171579712685015
0.5793.81053721787650.170885706368675
0.5893.84875542573260.170537647682645
0.5993.88719088226080.170824354256507
0.693.92613026889850.172495839017348
0.6193.9660264265270.176365774036189
0.6294.00752183773880.183378680915268
0.6394.05147452521360.194049017366013
0.6494.09899572738910.209845565499127
0.6594.15150869796310.232062072808297
0.6694.21083374545370.261828949521151
0.6794.27929646837610.301726322187922
0.6894.35984622790730.35390357476999
0.6994.45616343953260.421662809769762
0.794.57272952372310.50753427939296
0.7194.71483174825810.614154435301435
0.7294.88847320221230.743245375453781
0.7395.10015215879710.895394509984695
0.7495.35646626869251.06952637557671
0.7595.66349485695331.26202687901116
0.7696.02593310633991.46526820931033
0.7796.44600891785711.6677234576022
0.7896.92230597502111.85385063081559
0.7997.44872160023912.00498581614964
0.898.01386340608362.10225566131732
0.8198.60119096072932.1291945234544
0.8299.19011338665832.07599243496289
0.8399.75806712761081.94201546583222
0.84100.283352831331.73742629671052
0.85100.7482565340911.48243045643401
0.86101.1417846287451.20460428826398
0.87101.4612901511740.933814658013668
0.88101.7124426516730.696728434285329
0.89101.9074130690990.511239466383514
0.9102.061702780740.383768577003281
0.91102.1905393908340.308096682353224
0.92102.305998768860.267737526010913
0.93102.4158516754660.244091981757465
0.94102.5243745654630.225465308994414
0.95102.6338629503430.209313496742696
0.96102.744180446240.193855909245051
0.97102.8491739111280.165866395893932
0.98102.9350811948440.110614657966164
0.99102.9889422276670.0455477527106014


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')