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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 computationSat, 27 Feb 2016 18:23:59 +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/27/t1456597518uwge1idl3r4ztoo.htm/, Retrieved Sat, 27 Apr 2024 08:59:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292925, Retrieved Sat, 27 Apr 2024 08:59:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

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] [Harrel-Davis deci...] [2016-02-27 18:23:59] [4e1138fa3bff5f7fc8fdb388bb0b126b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99.13
100.46
101.83
100.82
100.99
99.11
98.99
99.8
100.3
101.56
98.83
101.29
98.24
98.37
99.68
97.8
98.34
98.06
97.19
99.44
99.04
100.81
98.49
101.03
98.59
101.07
99.28
101.65
100.59
101.84
100.27
100.04
97.78
97.59
97.68
100.56
98.9
100.08
101.7
100.9
100.67
100.51
100.01
99.8
97.7
98.14
101.77
99.82
100.03
101.83
98.25
99.88
98.96
98.37
97.52
99.59
97.99
100.68
100.39
99.31
96.93
102.06
97.9
102.29
100.55
100.77
100.68
100.75
100.21
99.85
100.59
101.45

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292925&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292925&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292925&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.02335830779590.259945257853149
0.0297.16708666599920.259351120618806
0.0397.31427358375130.237915648884583
0.0497.43947560477360.200545052225618
0.0597.53757479577730.164672689806394
0.0697.61338399763350.141676894646565
0.0797.6742977727170.133174267200589
0.0897.72687376802250.135496452345079
0.0997.77577774027070.144220081514808
0.197.82383080991570.155778383819128
0.1197.87243175326580.167718162954211
0.1297.92201742394090.178002910976617
0.1397.97245363012080.186183233236657
0.1498.02334387487050.191718286622914
0.1598.07426292343380.19544895711318
0.1698.12491804112220.198313252983211
0.1798.17523768815590.20146946885994
0.1898.22539034869630.206263902785188
0.1998.27574264632870.213499327494713
0.298.32677298844330.223293098523
0.2198.37896257051030.235453769335591
0.2298.43268811316310.248873538695769
0.2398.48813911818150.262403230953897
0.2498.5452764370370.274554246488205
0.2598.60383944389290.284205800643568
0.2698.66339813187960.290646029471678
0.2798.72343664567290.293893829380782
0.2898.78344852388530.294359530679074
0.2998.84302263731370.292719533518838
0.398.90190245210190.290430970299225
0.3198.96000849935030.288432048713944
0.3299.01742268947890.287636557705245
0.3399.07434116838410.288434666770995
0.3499.13100807424030.29090137001172
0.3599.18764496273690.294475367844215
0.3699.24438984529710.298465506799286
0.3799.30125642406410.301866125997696
0.3899.35811926547950.30372232402099
0.3999.41472544715130.303277089489529
0.499.47072859736020.300493155972143
0.4199.52573790258660.294869902429194
0.4299.57937294952820.286892411563539
0.4399.63131525220370.277002216609462
0.4499.68134878129410.265901148318891
0.4599.7293843407070.254674939831942
0.4699.77546567456460.244038433393549
0.4799.81975815760540.234782085974483
0.4899.86252332600170.227066443873188
0.4999.904084020370.221662604482795
0.599.94478543864610.218207951227761
0.5199.98495704948150.216565722170487
0.52100.024879365710.216487684064522
0.53100.0647583482170.217147335733372
0.54100.1047089901890.218187625104902
0.55100.1447486016040.218818258945175
0.56100.1847995296430.21869694946539
0.57100.2247004683010.217349419079388
0.58100.2642250403140.214449836245083
0.59100.3031059018180.209706987412871
0.6100.3410622073540.203323476893979
0.61100.3778279323970.195397809466478
0.62100.4131783858140.186161886697122
0.63100.4469523681720.176190288755834
0.64100.4790679163780.165831272261782
0.65100.5095304137810.155707646502445
0.66100.5384329342410.146196100093033
0.67100.5659498420580.137820834153203
0.68100.5923256592740.13084578668636
0.69100.6178618278730.125666668842629
0.7100.6429041043040.122262005076966
0.71100.667832909370.120770365108815
0.72100.6930581138770.121241375604654
0.73100.7190186360530.123729733266475
0.74100.7461860245730.128248403794579
0.75100.7750699927180.134905372224642
0.76100.8062226532370.143801586637864
0.77100.8402369573840.154983490177374
0.78100.8777336880090.16856149996776
0.79100.9193307631290.184392009480222
0.8100.9655894686110.202074279508139
0.81101.0169356688390.220760400368964
0.82101.0735607590730.239357445519973
0.83101.1353165577270.256286549160333
0.84101.2016279290920.269484093580096
0.85101.271452248660.27695674015787
0.86101.3433111256920.277196006818506
0.87101.4154049460650.269274771370887
0.88101.4857985559020.253423828992712
0.89101.5526479793750.230752215187179
0.9101.6144392268190.203319707829367
0.91101.6702418464760.173553046595473
0.92101.7200320973230.144113952935425
0.93101.7651681287590.118234731623657
0.94101.8090243537960.100859493887419
0.95101.8575380333830.0994723599411577
0.96101.9189470259280.118649576658907
0.97102.0012873741760.151972108231432
0.98102.1056112276320.18600987130286
0.99102.2149384994540.211655747931422

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.0233583077959 & 0.259945257853149 \tabularnewline
0.02 & 97.1670866659992 & 0.259351120618806 \tabularnewline
0.03 & 97.3142735837513 & 0.237915648884583 \tabularnewline
0.04 & 97.4394756047736 & 0.200545052225618 \tabularnewline
0.05 & 97.5375747957773 & 0.164672689806394 \tabularnewline
0.06 & 97.6133839976335 & 0.141676894646565 \tabularnewline
0.07 & 97.674297772717 & 0.133174267200589 \tabularnewline
0.08 & 97.7268737680225 & 0.135496452345079 \tabularnewline
0.09 & 97.7757777402707 & 0.144220081514808 \tabularnewline
0.1 & 97.8238308099157 & 0.155778383819128 \tabularnewline
0.11 & 97.8724317532658 & 0.167718162954211 \tabularnewline
0.12 & 97.9220174239409 & 0.178002910976617 \tabularnewline
0.13 & 97.9724536301208 & 0.186183233236657 \tabularnewline
0.14 & 98.0233438748705 & 0.191718286622914 \tabularnewline
0.15 & 98.0742629234338 & 0.19544895711318 \tabularnewline
0.16 & 98.1249180411222 & 0.198313252983211 \tabularnewline
0.17 & 98.1752376881559 & 0.20146946885994 \tabularnewline
0.18 & 98.2253903486963 & 0.206263902785188 \tabularnewline
0.19 & 98.2757426463287 & 0.213499327494713 \tabularnewline
0.2 & 98.3267729884433 & 0.223293098523 \tabularnewline
0.21 & 98.3789625705103 & 0.235453769335591 \tabularnewline
0.22 & 98.4326881131631 & 0.248873538695769 \tabularnewline
0.23 & 98.4881391181815 & 0.262403230953897 \tabularnewline
0.24 & 98.545276437037 & 0.274554246488205 \tabularnewline
0.25 & 98.6038394438929 & 0.284205800643568 \tabularnewline
0.26 & 98.6633981318796 & 0.290646029471678 \tabularnewline
0.27 & 98.7234366456729 & 0.293893829380782 \tabularnewline
0.28 & 98.7834485238853 & 0.294359530679074 \tabularnewline
0.29 & 98.8430226373137 & 0.292719533518838 \tabularnewline
0.3 & 98.9019024521019 & 0.290430970299225 \tabularnewline
0.31 & 98.9600084993503 & 0.288432048713944 \tabularnewline
0.32 & 99.0174226894789 & 0.287636557705245 \tabularnewline
0.33 & 99.0743411683841 & 0.288434666770995 \tabularnewline
0.34 & 99.1310080742403 & 0.29090137001172 \tabularnewline
0.35 & 99.1876449627369 & 0.294475367844215 \tabularnewline
0.36 & 99.2443898452971 & 0.298465506799286 \tabularnewline
0.37 & 99.3012564240641 & 0.301866125997696 \tabularnewline
0.38 & 99.3581192654795 & 0.30372232402099 \tabularnewline
0.39 & 99.4147254471513 & 0.303277089489529 \tabularnewline
0.4 & 99.4707285973602 & 0.300493155972143 \tabularnewline
0.41 & 99.5257379025866 & 0.294869902429194 \tabularnewline
0.42 & 99.5793729495282 & 0.286892411563539 \tabularnewline
0.43 & 99.6313152522037 & 0.277002216609462 \tabularnewline
0.44 & 99.6813487812941 & 0.265901148318891 \tabularnewline
0.45 & 99.729384340707 & 0.254674939831942 \tabularnewline
0.46 & 99.7754656745646 & 0.244038433393549 \tabularnewline
0.47 & 99.8197581576054 & 0.234782085974483 \tabularnewline
0.48 & 99.8625233260017 & 0.227066443873188 \tabularnewline
0.49 & 99.90408402037 & 0.221662604482795 \tabularnewline
0.5 & 99.9447854386461 & 0.218207951227761 \tabularnewline
0.51 & 99.9849570494815 & 0.216565722170487 \tabularnewline
0.52 & 100.02487936571 & 0.216487684064522 \tabularnewline
0.53 & 100.064758348217 & 0.217147335733372 \tabularnewline
0.54 & 100.104708990189 & 0.218187625104902 \tabularnewline
0.55 & 100.144748601604 & 0.218818258945175 \tabularnewline
0.56 & 100.184799529643 & 0.21869694946539 \tabularnewline
0.57 & 100.224700468301 & 0.217349419079388 \tabularnewline
0.58 & 100.264225040314 & 0.214449836245083 \tabularnewline
0.59 & 100.303105901818 & 0.209706987412871 \tabularnewline
0.6 & 100.341062207354 & 0.203323476893979 \tabularnewline
0.61 & 100.377827932397 & 0.195397809466478 \tabularnewline
0.62 & 100.413178385814 & 0.186161886697122 \tabularnewline
0.63 & 100.446952368172 & 0.176190288755834 \tabularnewline
0.64 & 100.479067916378 & 0.165831272261782 \tabularnewline
0.65 & 100.509530413781 & 0.155707646502445 \tabularnewline
0.66 & 100.538432934241 & 0.146196100093033 \tabularnewline
0.67 & 100.565949842058 & 0.137820834153203 \tabularnewline
0.68 & 100.592325659274 & 0.13084578668636 \tabularnewline
0.69 & 100.617861827873 & 0.125666668842629 \tabularnewline
0.7 & 100.642904104304 & 0.122262005076966 \tabularnewline
0.71 & 100.66783290937 & 0.120770365108815 \tabularnewline
0.72 & 100.693058113877 & 0.121241375604654 \tabularnewline
0.73 & 100.719018636053 & 0.123729733266475 \tabularnewline
0.74 & 100.746186024573 & 0.128248403794579 \tabularnewline
0.75 & 100.775069992718 & 0.134905372224642 \tabularnewline
0.76 & 100.806222653237 & 0.143801586637864 \tabularnewline
0.77 & 100.840236957384 & 0.154983490177374 \tabularnewline
0.78 & 100.877733688009 & 0.16856149996776 \tabularnewline
0.79 & 100.919330763129 & 0.184392009480222 \tabularnewline
0.8 & 100.965589468611 & 0.202074279508139 \tabularnewline
0.81 & 101.016935668839 & 0.220760400368964 \tabularnewline
0.82 & 101.073560759073 & 0.239357445519973 \tabularnewline
0.83 & 101.135316557727 & 0.256286549160333 \tabularnewline
0.84 & 101.201627929092 & 0.269484093580096 \tabularnewline
0.85 & 101.27145224866 & 0.27695674015787 \tabularnewline
0.86 & 101.343311125692 & 0.277196006818506 \tabularnewline
0.87 & 101.415404946065 & 0.269274771370887 \tabularnewline
0.88 & 101.485798555902 & 0.253423828992712 \tabularnewline
0.89 & 101.552647979375 & 0.230752215187179 \tabularnewline
0.9 & 101.614439226819 & 0.203319707829367 \tabularnewline
0.91 & 101.670241846476 & 0.173553046595473 \tabularnewline
0.92 & 101.720032097323 & 0.144113952935425 \tabularnewline
0.93 & 101.765168128759 & 0.118234731623657 \tabularnewline
0.94 & 101.809024353796 & 0.100859493887419 \tabularnewline
0.95 & 101.857538033383 & 0.0994723599411577 \tabularnewline
0.96 & 101.918947025928 & 0.118649576658907 \tabularnewline
0.97 & 102.001287374176 & 0.151972108231432 \tabularnewline
0.98 & 102.105611227632 & 0.18600987130286 \tabularnewline
0.99 & 102.214938499454 & 0.211655747931422 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292925&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]97.0233583077959[/C][C]0.259945257853149[/C][/ROW]
[ROW][C]0.02[/C][C]97.1670866659992[/C][C]0.259351120618806[/C][/ROW]
[ROW][C]0.03[/C][C]97.3142735837513[/C][C]0.237915648884583[/C][/ROW]
[ROW][C]0.04[/C][C]97.4394756047736[/C][C]0.200545052225618[/C][/ROW]
[ROW][C]0.05[/C][C]97.5375747957773[/C][C]0.164672689806394[/C][/ROW]
[ROW][C]0.06[/C][C]97.6133839976335[/C][C]0.141676894646565[/C][/ROW]
[ROW][C]0.07[/C][C]97.674297772717[/C][C]0.133174267200589[/C][/ROW]
[ROW][C]0.08[/C][C]97.7268737680225[/C][C]0.135496452345079[/C][/ROW]
[ROW][C]0.09[/C][C]97.7757777402707[/C][C]0.144220081514808[/C][/ROW]
[ROW][C]0.1[/C][C]97.8238308099157[/C][C]0.155778383819128[/C][/ROW]
[ROW][C]0.11[/C][C]97.8724317532658[/C][C]0.167718162954211[/C][/ROW]
[ROW][C]0.12[/C][C]97.9220174239409[/C][C]0.178002910976617[/C][/ROW]
[ROW][C]0.13[/C][C]97.9724536301208[/C][C]0.186183233236657[/C][/ROW]
[ROW][C]0.14[/C][C]98.0233438748705[/C][C]0.191718286622914[/C][/ROW]
[ROW][C]0.15[/C][C]98.0742629234338[/C][C]0.19544895711318[/C][/ROW]
[ROW][C]0.16[/C][C]98.1249180411222[/C][C]0.198313252983211[/C][/ROW]
[ROW][C]0.17[/C][C]98.1752376881559[/C][C]0.20146946885994[/C][/ROW]
[ROW][C]0.18[/C][C]98.2253903486963[/C][C]0.206263902785188[/C][/ROW]
[ROW][C]0.19[/C][C]98.2757426463287[/C][C]0.213499327494713[/C][/ROW]
[ROW][C]0.2[/C][C]98.3267729884433[/C][C]0.223293098523[/C][/ROW]
[ROW][C]0.21[/C][C]98.3789625705103[/C][C]0.235453769335591[/C][/ROW]
[ROW][C]0.22[/C][C]98.4326881131631[/C][C]0.248873538695769[/C][/ROW]
[ROW][C]0.23[/C][C]98.4881391181815[/C][C]0.262403230953897[/C][/ROW]
[ROW][C]0.24[/C][C]98.545276437037[/C][C]0.274554246488205[/C][/ROW]
[ROW][C]0.25[/C][C]98.6038394438929[/C][C]0.284205800643568[/C][/ROW]
[ROW][C]0.26[/C][C]98.6633981318796[/C][C]0.290646029471678[/C][/ROW]
[ROW][C]0.27[/C][C]98.7234366456729[/C][C]0.293893829380782[/C][/ROW]
[ROW][C]0.28[/C][C]98.7834485238853[/C][C]0.294359530679074[/C][/ROW]
[ROW][C]0.29[/C][C]98.8430226373137[/C][C]0.292719533518838[/C][/ROW]
[ROW][C]0.3[/C][C]98.9019024521019[/C][C]0.290430970299225[/C][/ROW]
[ROW][C]0.31[/C][C]98.9600084993503[/C][C]0.288432048713944[/C][/ROW]
[ROW][C]0.32[/C][C]99.0174226894789[/C][C]0.287636557705245[/C][/ROW]
[ROW][C]0.33[/C][C]99.0743411683841[/C][C]0.288434666770995[/C][/ROW]
[ROW][C]0.34[/C][C]99.1310080742403[/C][C]0.29090137001172[/C][/ROW]
[ROW][C]0.35[/C][C]99.1876449627369[/C][C]0.294475367844215[/C][/ROW]
[ROW][C]0.36[/C][C]99.2443898452971[/C][C]0.298465506799286[/C][/ROW]
[ROW][C]0.37[/C][C]99.3012564240641[/C][C]0.301866125997696[/C][/ROW]
[ROW][C]0.38[/C][C]99.3581192654795[/C][C]0.30372232402099[/C][/ROW]
[ROW][C]0.39[/C][C]99.4147254471513[/C][C]0.303277089489529[/C][/ROW]
[ROW][C]0.4[/C][C]99.4707285973602[/C][C]0.300493155972143[/C][/ROW]
[ROW][C]0.41[/C][C]99.5257379025866[/C][C]0.294869902429194[/C][/ROW]
[ROW][C]0.42[/C][C]99.5793729495282[/C][C]0.286892411563539[/C][/ROW]
[ROW][C]0.43[/C][C]99.6313152522037[/C][C]0.277002216609462[/C][/ROW]
[ROW][C]0.44[/C][C]99.6813487812941[/C][C]0.265901148318891[/C][/ROW]
[ROW][C]0.45[/C][C]99.729384340707[/C][C]0.254674939831942[/C][/ROW]
[ROW][C]0.46[/C][C]99.7754656745646[/C][C]0.244038433393549[/C][/ROW]
[ROW][C]0.47[/C][C]99.8197581576054[/C][C]0.234782085974483[/C][/ROW]
[ROW][C]0.48[/C][C]99.8625233260017[/C][C]0.227066443873188[/C][/ROW]
[ROW][C]0.49[/C][C]99.90408402037[/C][C]0.221662604482795[/C][/ROW]
[ROW][C]0.5[/C][C]99.9447854386461[/C][C]0.218207951227761[/C][/ROW]
[ROW][C]0.51[/C][C]99.9849570494815[/C][C]0.216565722170487[/C][/ROW]
[ROW][C]0.52[/C][C]100.02487936571[/C][C]0.216487684064522[/C][/ROW]
[ROW][C]0.53[/C][C]100.064758348217[/C][C]0.217147335733372[/C][/ROW]
[ROW][C]0.54[/C][C]100.104708990189[/C][C]0.218187625104902[/C][/ROW]
[ROW][C]0.55[/C][C]100.144748601604[/C][C]0.218818258945175[/C][/ROW]
[ROW][C]0.56[/C][C]100.184799529643[/C][C]0.21869694946539[/C][/ROW]
[ROW][C]0.57[/C][C]100.224700468301[/C][C]0.217349419079388[/C][/ROW]
[ROW][C]0.58[/C][C]100.264225040314[/C][C]0.214449836245083[/C][/ROW]
[ROW][C]0.59[/C][C]100.303105901818[/C][C]0.209706987412871[/C][/ROW]
[ROW][C]0.6[/C][C]100.341062207354[/C][C]0.203323476893979[/C][/ROW]
[ROW][C]0.61[/C][C]100.377827932397[/C][C]0.195397809466478[/C][/ROW]
[ROW][C]0.62[/C][C]100.413178385814[/C][C]0.186161886697122[/C][/ROW]
[ROW][C]0.63[/C][C]100.446952368172[/C][C]0.176190288755834[/C][/ROW]
[ROW][C]0.64[/C][C]100.479067916378[/C][C]0.165831272261782[/C][/ROW]
[ROW][C]0.65[/C][C]100.509530413781[/C][C]0.155707646502445[/C][/ROW]
[ROW][C]0.66[/C][C]100.538432934241[/C][C]0.146196100093033[/C][/ROW]
[ROW][C]0.67[/C][C]100.565949842058[/C][C]0.137820834153203[/C][/ROW]
[ROW][C]0.68[/C][C]100.592325659274[/C][C]0.13084578668636[/C][/ROW]
[ROW][C]0.69[/C][C]100.617861827873[/C][C]0.125666668842629[/C][/ROW]
[ROW][C]0.7[/C][C]100.642904104304[/C][C]0.122262005076966[/C][/ROW]
[ROW][C]0.71[/C][C]100.66783290937[/C][C]0.120770365108815[/C][/ROW]
[ROW][C]0.72[/C][C]100.693058113877[/C][C]0.121241375604654[/C][/ROW]
[ROW][C]0.73[/C][C]100.719018636053[/C][C]0.123729733266475[/C][/ROW]
[ROW][C]0.74[/C][C]100.746186024573[/C][C]0.128248403794579[/C][/ROW]
[ROW][C]0.75[/C][C]100.775069992718[/C][C]0.134905372224642[/C][/ROW]
[ROW][C]0.76[/C][C]100.806222653237[/C][C]0.143801586637864[/C][/ROW]
[ROW][C]0.77[/C][C]100.840236957384[/C][C]0.154983490177374[/C][/ROW]
[ROW][C]0.78[/C][C]100.877733688009[/C][C]0.16856149996776[/C][/ROW]
[ROW][C]0.79[/C][C]100.919330763129[/C][C]0.184392009480222[/C][/ROW]
[ROW][C]0.8[/C][C]100.965589468611[/C][C]0.202074279508139[/C][/ROW]
[ROW][C]0.81[/C][C]101.016935668839[/C][C]0.220760400368964[/C][/ROW]
[ROW][C]0.82[/C][C]101.073560759073[/C][C]0.239357445519973[/C][/ROW]
[ROW][C]0.83[/C][C]101.135316557727[/C][C]0.256286549160333[/C][/ROW]
[ROW][C]0.84[/C][C]101.201627929092[/C][C]0.269484093580096[/C][/ROW]
[ROW][C]0.85[/C][C]101.27145224866[/C][C]0.27695674015787[/C][/ROW]
[ROW][C]0.86[/C][C]101.343311125692[/C][C]0.277196006818506[/C][/ROW]
[ROW][C]0.87[/C][C]101.415404946065[/C][C]0.269274771370887[/C][/ROW]
[ROW][C]0.88[/C][C]101.485798555902[/C][C]0.253423828992712[/C][/ROW]
[ROW][C]0.89[/C][C]101.552647979375[/C][C]0.230752215187179[/C][/ROW]
[ROW][C]0.9[/C][C]101.614439226819[/C][C]0.203319707829367[/C][/ROW]
[ROW][C]0.91[/C][C]101.670241846476[/C][C]0.173553046595473[/C][/ROW]
[ROW][C]0.92[/C][C]101.720032097323[/C][C]0.144113952935425[/C][/ROW]
[ROW][C]0.93[/C][C]101.765168128759[/C][C]0.118234731623657[/C][/ROW]
[ROW][C]0.94[/C][C]101.809024353796[/C][C]0.100859493887419[/C][/ROW]
[ROW][C]0.95[/C][C]101.857538033383[/C][C]0.0994723599411577[/C][/ROW]
[ROW][C]0.96[/C][C]101.918947025928[/C][C]0.118649576658907[/C][/ROW]
[ROW][C]0.97[/C][C]102.001287374176[/C][C]0.151972108231432[/C][/ROW]
[ROW][C]0.98[/C][C]102.105611227632[/C][C]0.18600987130286[/C][/ROW]
[ROW][C]0.99[/C][C]102.214938499454[/C][C]0.211655747931422[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292925&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292925&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
0.0197.02335830779590.259945257853149
0.0297.16708666599920.259351120618806
0.0397.31427358375130.237915648884583
0.0497.43947560477360.200545052225618
0.0597.53757479577730.164672689806394
0.0697.61338399763350.141676894646565
0.0797.6742977727170.133174267200589
0.0897.72687376802250.135496452345079
0.0997.77577774027070.144220081514808
0.197.82383080991570.155778383819128
0.1197.87243175326580.167718162954211
0.1297.92201742394090.178002910976617
0.1397.97245363012080.186183233236657
0.1498.02334387487050.191718286622914
0.1598.07426292343380.19544895711318
0.1698.12491804112220.198313252983211
0.1798.17523768815590.20146946885994
0.1898.22539034869630.206263902785188
0.1998.27574264632870.213499327494713
0.298.32677298844330.223293098523
0.2198.37896257051030.235453769335591
0.2298.43268811316310.248873538695769
0.2398.48813911818150.262403230953897
0.2498.5452764370370.274554246488205
0.2598.60383944389290.284205800643568
0.2698.66339813187960.290646029471678
0.2798.72343664567290.293893829380782
0.2898.78344852388530.294359530679074
0.2998.84302263731370.292719533518838
0.398.90190245210190.290430970299225
0.3198.96000849935030.288432048713944
0.3299.01742268947890.287636557705245
0.3399.07434116838410.288434666770995
0.3499.13100807424030.29090137001172
0.3599.18764496273690.294475367844215
0.3699.24438984529710.298465506799286
0.3799.30125642406410.301866125997696
0.3899.35811926547950.30372232402099
0.3999.41472544715130.303277089489529
0.499.47072859736020.300493155972143
0.4199.52573790258660.294869902429194
0.4299.57937294952820.286892411563539
0.4399.63131525220370.277002216609462
0.4499.68134878129410.265901148318891
0.4599.7293843407070.254674939831942
0.4699.77546567456460.244038433393549
0.4799.81975815760540.234782085974483
0.4899.86252332600170.227066443873188
0.4999.904084020370.221662604482795
0.599.94478543864610.218207951227761
0.5199.98495704948150.216565722170487
0.52100.024879365710.216487684064522
0.53100.0647583482170.217147335733372
0.54100.1047089901890.218187625104902
0.55100.1447486016040.218818258945175
0.56100.1847995296430.21869694946539
0.57100.2247004683010.217349419079388
0.58100.2642250403140.214449836245083
0.59100.3031059018180.209706987412871
0.6100.3410622073540.203323476893979
0.61100.3778279323970.195397809466478
0.62100.4131783858140.186161886697122
0.63100.4469523681720.176190288755834
0.64100.4790679163780.165831272261782
0.65100.5095304137810.155707646502445
0.66100.5384329342410.146196100093033
0.67100.5659498420580.137820834153203
0.68100.5923256592740.13084578668636
0.69100.6178618278730.125666668842629
0.7100.6429041043040.122262005076966
0.71100.667832909370.120770365108815
0.72100.6930581138770.121241375604654
0.73100.7190186360530.123729733266475
0.74100.7461860245730.128248403794579
0.75100.7750699927180.134905372224642
0.76100.8062226532370.143801586637864
0.77100.8402369573840.154983490177374
0.78100.8777336880090.16856149996776
0.79100.9193307631290.184392009480222
0.8100.9655894686110.202074279508139
0.81101.0169356688390.220760400368964
0.82101.0735607590730.239357445519973
0.83101.1353165577270.256286549160333
0.84101.2016279290920.269484093580096
0.85101.271452248660.27695674015787
0.86101.3433111256920.277196006818506
0.87101.4154049460650.269274771370887
0.88101.4857985559020.253423828992712
0.89101.5526479793750.230752215187179
0.9101.6144392268190.203319707829367
0.91101.6702418464760.173553046595473
0.92101.7200320973230.144113952935425
0.93101.7651681287590.118234731623657
0.94101.8090243537960.100859493887419
0.95101.8575380333830.0994723599411577
0.96101.9189470259280.118649576658907
0.97102.0012873741760.151972108231432
0.98102.1056112276320.18600987130286
0.99102.2149384994540.211655747931422


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')