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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 computationFri, 09 Oct 2015 22:32:13 +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/09/t1444426359byhxgh6f4ej7ea6.htm/, Retrieved Sat, 18 May 2024 22:21:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282082, Retrieved Sat, 18 May 2024 22:21:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

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] [Consumptieprijsin...] [2015-10-09 21:32:13] [91f26e786dd8a1c147ebc049dd81fbad] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
73,97
75,01
75,98
78,85
79,34
79,62
79,76
79,62
79,89
79,88
79,97
79,63
80,04
80,23
80,44
81,78
82,51
82,43
82,35
82,53
82,08
82,73
82,46
81,98
82,11
82,26
82,51
82,89
83,83
84,73
84,48
84,84
84,99
84,7
84,54
84,73
84,51
84,54
84,27
84,47
84,25
84,33
84,29
84,53
84,01
84,18
84,08
83,44
83,61
83,89
83,4
82,96
82,76
83,35
87,78
88,99
88,92
88,91
89,79
90,54
93,15
92,79
93,21
95,35
100,91
103,69
104,04
104,16
104,71
105,18
104,92
104,83
104,9
105,05
104,6
103,21
102,52
101,09
101,19
102,34
102,62
102,47
101,82
101,86
101,54
101,98
101,23
100,4
99,94
99,94
100
98,8
99,07
99,46
99,18
98,47
97,12
96,91
96,09
97,17
96,8
97,13
99,9
100,56
100,84
99,81
100,44
100,07

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282082&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282082&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282082&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0174.71425560536011.29234773202038
0.0275.95843091903841.75965263094085
0.0377.24174713080391.75453628537461
0.0478.27817715905841.31369192146631
0.0578.97262715771210.813188874748656
0.0679.38249410537850.475208674220702
0.0779.62064938091050.328498591922878
0.0879.78334727908330.323227103616469
0.0979.9313376972440.401298740667972
0.180.09750992109250.524032700340896
0.1180.29687069735890.662666702680026
0.1280.53187826528670.7873483966192
0.1380.79508631779660.871074420915469
0.1481.0720593477850.896919177042243
0.1581.34553474214460.863411413094926
0.1681.59994369787940.783568384764091
0.1781.82481479660620.678877354682381
0.1882.01614178127660.571553592812315
0.1982.17577073002690.479664625159334
0.282.30956382918860.413856664521801
0.2182.42525355565010.377541663371235
0.2282.53064103531490.368475764443578
0.2382.63240586493150.380522055969159
0.2482.73550381830380.405742982726297
0.2582.84300209713040.437139404742611
0.2682.95619568799010.468369562339454
0.2783.07488926491170.494717725196476
0.2883.19776737736260.512580960060537
0.2983.32279703205690.520518411249957
0.383.44761764656570.5176112306419
0.3183.56988357084840.504922225535139
0.3283.68753833337750.4839867255023
0.3383.7990161501140.45739367440213
0.3483.90338146977690.427652452598477
0.3584.00042847972960.398063059188991
0.3684.09076794213240.372226610088809
0.3784.17592738502870.354703275047709
0.3884.2584813283630.351005905133821
0.3984.34221010957340.367437367179973
0.484.43226038272440.412407067089196
0.4184.53525281610980.492999036859545
0.4284.65926237343120.615915288082817
0.4384.8135950898430.785008698512987
0.4485.00831074221771.00180170928524
0.4585.25349321835761.2632013057877
0.4685.55833815903521.56229281194768
0.4785.93018919197861.88740221656877
0.4886.37368584302812.22397667795376
0.4986.89017205651962.55561266919527
0.587.47745524646922.86657552217859
0.5188.12992208123183.14227837980262
0.5288.8389406596033.37089912439624
0.5389.59343862189413.54392129802181
0.5490.38055520623993.65539366879479
0.5591.18631067519183.7015768978973
0.5691.99628897103083.68184928979528
0.5792.79635621779323.59866224076566
0.5893.57342100119993.45793721550805
0.5994.3161896893123.26929253222131
0.695.01581118601013.04514184898871
0.6195.66627746439822.80006365570876
0.6296.26447368588722.54801994708649
0.6396.80985302068232.30063307226555
0.6497.3038174857662.06597192319505
0.6597.7489737133211.84786030863815
0.6698.14846377397861.64651114226035
0.6798.50553160285781.4607252853429
0.6898.82339070228731.28932380019697
0.6999.10534662700141.13215709836088
0.799.35504174647310.991208265494539
0.7199.57666056366040.868922953078175
0.7299.7749679413560.768764108362758
0.7399.9551317975220.692124545244409
0.74100.1223724598960.638608706543668
0.75100.2815475324930.605509487928097
0.76100.4368000630680.588176130285068
0.77100.5913653066360.581681338308217
0.78100.7475649247430.581612752086357
0.79100.9069488907570.585013488308442
0.8101.0705077424270.590141381720871
0.81101.2388898780950.595852700267641
0.82101.4126128065360.601536997500291
0.83101.5923172971450.607356709852119
0.84101.7791249878670.614487686527975
0.85101.9750772899370.625939208673057
0.86102.1834587438040.645958841380345
0.87102.4086307979860.678319026961068
0.88102.6549956191760.721956536931002
0.89102.9250322263950.767866457227619
0.9103.2169558384040.79994524432028
0.91103.5230850852840.800210889200719
0.92103.8299720008950.756415946914685
0.93104.1206288134940.667605940429314
0.94104.3783045290170.543903212647372
0.95104.5909608967370.404125301888694
0.96104.7558420037230.27227171927729
0.97104.8830610783870.174305829153104
0.98104.9939836318480.128988650975581
0.99105.1032086802550.122984368690888

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 74.7142556053601 & 1.29234773202038 \tabularnewline
0.02 & 75.9584309190384 & 1.75965263094085 \tabularnewline
0.03 & 77.2417471308039 & 1.75453628537461 \tabularnewline
0.04 & 78.2781771590584 & 1.31369192146631 \tabularnewline
0.05 & 78.9726271577121 & 0.813188874748656 \tabularnewline
0.06 & 79.3824941053785 & 0.475208674220702 \tabularnewline
0.07 & 79.6206493809105 & 0.328498591922878 \tabularnewline
0.08 & 79.7833472790833 & 0.323227103616469 \tabularnewline
0.09 & 79.931337697244 & 0.401298740667972 \tabularnewline
0.1 & 80.0975099210925 & 0.524032700340896 \tabularnewline
0.11 & 80.2968706973589 & 0.662666702680026 \tabularnewline
0.12 & 80.5318782652867 & 0.7873483966192 \tabularnewline
0.13 & 80.7950863177966 & 0.871074420915469 \tabularnewline
0.14 & 81.072059347785 & 0.896919177042243 \tabularnewline
0.15 & 81.3455347421446 & 0.863411413094926 \tabularnewline
0.16 & 81.5999436978794 & 0.783568384764091 \tabularnewline
0.17 & 81.8248147966062 & 0.678877354682381 \tabularnewline
0.18 & 82.0161417812766 & 0.571553592812315 \tabularnewline
0.19 & 82.1757707300269 & 0.479664625159334 \tabularnewline
0.2 & 82.3095638291886 & 0.413856664521801 \tabularnewline
0.21 & 82.4252535556501 & 0.377541663371235 \tabularnewline
0.22 & 82.5306410353149 & 0.368475764443578 \tabularnewline
0.23 & 82.6324058649315 & 0.380522055969159 \tabularnewline
0.24 & 82.7355038183038 & 0.405742982726297 \tabularnewline
0.25 & 82.8430020971304 & 0.437139404742611 \tabularnewline
0.26 & 82.9561956879901 & 0.468369562339454 \tabularnewline
0.27 & 83.0748892649117 & 0.494717725196476 \tabularnewline
0.28 & 83.1977673773626 & 0.512580960060537 \tabularnewline
0.29 & 83.3227970320569 & 0.520518411249957 \tabularnewline
0.3 & 83.4476176465657 & 0.5176112306419 \tabularnewline
0.31 & 83.5698835708484 & 0.504922225535139 \tabularnewline
0.32 & 83.6875383333775 & 0.4839867255023 \tabularnewline
0.33 & 83.799016150114 & 0.45739367440213 \tabularnewline
0.34 & 83.9033814697769 & 0.427652452598477 \tabularnewline
0.35 & 84.0004284797296 & 0.398063059188991 \tabularnewline
0.36 & 84.0907679421324 & 0.372226610088809 \tabularnewline
0.37 & 84.1759273850287 & 0.354703275047709 \tabularnewline
0.38 & 84.258481328363 & 0.351005905133821 \tabularnewline
0.39 & 84.3422101095734 & 0.367437367179973 \tabularnewline
0.4 & 84.4322603827244 & 0.412407067089196 \tabularnewline
0.41 & 84.5352528161098 & 0.492999036859545 \tabularnewline
0.42 & 84.6592623734312 & 0.615915288082817 \tabularnewline
0.43 & 84.813595089843 & 0.785008698512987 \tabularnewline
0.44 & 85.0083107422177 & 1.00180170928524 \tabularnewline
0.45 & 85.2534932183576 & 1.2632013057877 \tabularnewline
0.46 & 85.5583381590352 & 1.56229281194768 \tabularnewline
0.47 & 85.9301891919786 & 1.88740221656877 \tabularnewline
0.48 & 86.3736858430281 & 2.22397667795376 \tabularnewline
0.49 & 86.8901720565196 & 2.55561266919527 \tabularnewline
0.5 & 87.4774552464692 & 2.86657552217859 \tabularnewline
0.51 & 88.1299220812318 & 3.14227837980262 \tabularnewline
0.52 & 88.838940659603 & 3.37089912439624 \tabularnewline
0.53 & 89.5934386218941 & 3.54392129802181 \tabularnewline
0.54 & 90.3805552062399 & 3.65539366879479 \tabularnewline
0.55 & 91.1863106751918 & 3.7015768978973 \tabularnewline
0.56 & 91.9962889710308 & 3.68184928979528 \tabularnewline
0.57 & 92.7963562177932 & 3.59866224076566 \tabularnewline
0.58 & 93.5734210011999 & 3.45793721550805 \tabularnewline
0.59 & 94.316189689312 & 3.26929253222131 \tabularnewline
0.6 & 95.0158111860101 & 3.04514184898871 \tabularnewline
0.61 & 95.6662774643982 & 2.80006365570876 \tabularnewline
0.62 & 96.2644736858872 & 2.54801994708649 \tabularnewline
0.63 & 96.8098530206823 & 2.30063307226555 \tabularnewline
0.64 & 97.303817485766 & 2.06597192319505 \tabularnewline
0.65 & 97.748973713321 & 1.84786030863815 \tabularnewline
0.66 & 98.1484637739786 & 1.64651114226035 \tabularnewline
0.67 & 98.5055316028578 & 1.4607252853429 \tabularnewline
0.68 & 98.8233907022873 & 1.28932380019697 \tabularnewline
0.69 & 99.1053466270014 & 1.13215709836088 \tabularnewline
0.7 & 99.3550417464731 & 0.991208265494539 \tabularnewline
0.71 & 99.5766605636604 & 0.868922953078175 \tabularnewline
0.72 & 99.774967941356 & 0.768764108362758 \tabularnewline
0.73 & 99.955131797522 & 0.692124545244409 \tabularnewline
0.74 & 100.122372459896 & 0.638608706543668 \tabularnewline
0.75 & 100.281547532493 & 0.605509487928097 \tabularnewline
0.76 & 100.436800063068 & 0.588176130285068 \tabularnewline
0.77 & 100.591365306636 & 0.581681338308217 \tabularnewline
0.78 & 100.747564924743 & 0.581612752086357 \tabularnewline
0.79 & 100.906948890757 & 0.585013488308442 \tabularnewline
0.8 & 101.070507742427 & 0.590141381720871 \tabularnewline
0.81 & 101.238889878095 & 0.595852700267641 \tabularnewline
0.82 & 101.412612806536 & 0.601536997500291 \tabularnewline
0.83 & 101.592317297145 & 0.607356709852119 \tabularnewline
0.84 & 101.779124987867 & 0.614487686527975 \tabularnewline
0.85 & 101.975077289937 & 0.625939208673057 \tabularnewline
0.86 & 102.183458743804 & 0.645958841380345 \tabularnewline
0.87 & 102.408630797986 & 0.678319026961068 \tabularnewline
0.88 & 102.654995619176 & 0.721956536931002 \tabularnewline
0.89 & 102.925032226395 & 0.767866457227619 \tabularnewline
0.9 & 103.216955838404 & 0.79994524432028 \tabularnewline
0.91 & 103.523085085284 & 0.800210889200719 \tabularnewline
0.92 & 103.829972000895 & 0.756415946914685 \tabularnewline
0.93 & 104.120628813494 & 0.667605940429314 \tabularnewline
0.94 & 104.378304529017 & 0.543903212647372 \tabularnewline
0.95 & 104.590960896737 & 0.404125301888694 \tabularnewline
0.96 & 104.755842003723 & 0.27227171927729 \tabularnewline
0.97 & 104.883061078387 & 0.174305829153104 \tabularnewline
0.98 & 104.993983631848 & 0.128988650975581 \tabularnewline
0.99 & 105.103208680255 & 0.122984368690888 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282082&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]74.7142556053601[/C][C]1.29234773202038[/C][/ROW]
[ROW][C]0.02[/C][C]75.9584309190384[/C][C]1.75965263094085[/C][/ROW]
[ROW][C]0.03[/C][C]77.2417471308039[/C][C]1.75453628537461[/C][/ROW]
[ROW][C]0.04[/C][C]78.2781771590584[/C][C]1.31369192146631[/C][/ROW]
[ROW][C]0.05[/C][C]78.9726271577121[/C][C]0.813188874748656[/C][/ROW]
[ROW][C]0.06[/C][C]79.3824941053785[/C][C]0.475208674220702[/C][/ROW]
[ROW][C]0.07[/C][C]79.6206493809105[/C][C]0.328498591922878[/C][/ROW]
[ROW][C]0.08[/C][C]79.7833472790833[/C][C]0.323227103616469[/C][/ROW]
[ROW][C]0.09[/C][C]79.931337697244[/C][C]0.401298740667972[/C][/ROW]
[ROW][C]0.1[/C][C]80.0975099210925[/C][C]0.524032700340896[/C][/ROW]
[ROW][C]0.11[/C][C]80.2968706973589[/C][C]0.662666702680026[/C][/ROW]
[ROW][C]0.12[/C][C]80.5318782652867[/C][C]0.7873483966192[/C][/ROW]
[ROW][C]0.13[/C][C]80.7950863177966[/C][C]0.871074420915469[/C][/ROW]
[ROW][C]0.14[/C][C]81.072059347785[/C][C]0.896919177042243[/C][/ROW]
[ROW][C]0.15[/C][C]81.3455347421446[/C][C]0.863411413094926[/C][/ROW]
[ROW][C]0.16[/C][C]81.5999436978794[/C][C]0.783568384764091[/C][/ROW]
[ROW][C]0.17[/C][C]81.8248147966062[/C][C]0.678877354682381[/C][/ROW]
[ROW][C]0.18[/C][C]82.0161417812766[/C][C]0.571553592812315[/C][/ROW]
[ROW][C]0.19[/C][C]82.1757707300269[/C][C]0.479664625159334[/C][/ROW]
[ROW][C]0.2[/C][C]82.3095638291886[/C][C]0.413856664521801[/C][/ROW]
[ROW][C]0.21[/C][C]82.4252535556501[/C][C]0.377541663371235[/C][/ROW]
[ROW][C]0.22[/C][C]82.5306410353149[/C][C]0.368475764443578[/C][/ROW]
[ROW][C]0.23[/C][C]82.6324058649315[/C][C]0.380522055969159[/C][/ROW]
[ROW][C]0.24[/C][C]82.7355038183038[/C][C]0.405742982726297[/C][/ROW]
[ROW][C]0.25[/C][C]82.8430020971304[/C][C]0.437139404742611[/C][/ROW]
[ROW][C]0.26[/C][C]82.9561956879901[/C][C]0.468369562339454[/C][/ROW]
[ROW][C]0.27[/C][C]83.0748892649117[/C][C]0.494717725196476[/C][/ROW]
[ROW][C]0.28[/C][C]83.1977673773626[/C][C]0.512580960060537[/C][/ROW]
[ROW][C]0.29[/C][C]83.3227970320569[/C][C]0.520518411249957[/C][/ROW]
[ROW][C]0.3[/C][C]83.4476176465657[/C][C]0.5176112306419[/C][/ROW]
[ROW][C]0.31[/C][C]83.5698835708484[/C][C]0.504922225535139[/C][/ROW]
[ROW][C]0.32[/C][C]83.6875383333775[/C][C]0.4839867255023[/C][/ROW]
[ROW][C]0.33[/C][C]83.799016150114[/C][C]0.45739367440213[/C][/ROW]
[ROW][C]0.34[/C][C]83.9033814697769[/C][C]0.427652452598477[/C][/ROW]
[ROW][C]0.35[/C][C]84.0004284797296[/C][C]0.398063059188991[/C][/ROW]
[ROW][C]0.36[/C][C]84.0907679421324[/C][C]0.372226610088809[/C][/ROW]
[ROW][C]0.37[/C][C]84.1759273850287[/C][C]0.354703275047709[/C][/ROW]
[ROW][C]0.38[/C][C]84.258481328363[/C][C]0.351005905133821[/C][/ROW]
[ROW][C]0.39[/C][C]84.3422101095734[/C][C]0.367437367179973[/C][/ROW]
[ROW][C]0.4[/C][C]84.4322603827244[/C][C]0.412407067089196[/C][/ROW]
[ROW][C]0.41[/C][C]84.5352528161098[/C][C]0.492999036859545[/C][/ROW]
[ROW][C]0.42[/C][C]84.6592623734312[/C][C]0.615915288082817[/C][/ROW]
[ROW][C]0.43[/C][C]84.813595089843[/C][C]0.785008698512987[/C][/ROW]
[ROW][C]0.44[/C][C]85.0083107422177[/C][C]1.00180170928524[/C][/ROW]
[ROW][C]0.45[/C][C]85.2534932183576[/C][C]1.2632013057877[/C][/ROW]
[ROW][C]0.46[/C][C]85.5583381590352[/C][C]1.56229281194768[/C][/ROW]
[ROW][C]0.47[/C][C]85.9301891919786[/C][C]1.88740221656877[/C][/ROW]
[ROW][C]0.48[/C][C]86.3736858430281[/C][C]2.22397667795376[/C][/ROW]
[ROW][C]0.49[/C][C]86.8901720565196[/C][C]2.55561266919527[/C][/ROW]
[ROW][C]0.5[/C][C]87.4774552464692[/C][C]2.86657552217859[/C][/ROW]
[ROW][C]0.51[/C][C]88.1299220812318[/C][C]3.14227837980262[/C][/ROW]
[ROW][C]0.52[/C][C]88.838940659603[/C][C]3.37089912439624[/C][/ROW]
[ROW][C]0.53[/C][C]89.5934386218941[/C][C]3.54392129802181[/C][/ROW]
[ROW][C]0.54[/C][C]90.3805552062399[/C][C]3.65539366879479[/C][/ROW]
[ROW][C]0.55[/C][C]91.1863106751918[/C][C]3.7015768978973[/C][/ROW]
[ROW][C]0.56[/C][C]91.9962889710308[/C][C]3.68184928979528[/C][/ROW]
[ROW][C]0.57[/C][C]92.7963562177932[/C][C]3.59866224076566[/C][/ROW]
[ROW][C]0.58[/C][C]93.5734210011999[/C][C]3.45793721550805[/C][/ROW]
[ROW][C]0.59[/C][C]94.316189689312[/C][C]3.26929253222131[/C][/ROW]
[ROW][C]0.6[/C][C]95.0158111860101[/C][C]3.04514184898871[/C][/ROW]
[ROW][C]0.61[/C][C]95.6662774643982[/C][C]2.80006365570876[/C][/ROW]
[ROW][C]0.62[/C][C]96.2644736858872[/C][C]2.54801994708649[/C][/ROW]
[ROW][C]0.63[/C][C]96.8098530206823[/C][C]2.30063307226555[/C][/ROW]
[ROW][C]0.64[/C][C]97.303817485766[/C][C]2.06597192319505[/C][/ROW]
[ROW][C]0.65[/C][C]97.748973713321[/C][C]1.84786030863815[/C][/ROW]
[ROW][C]0.66[/C][C]98.1484637739786[/C][C]1.64651114226035[/C][/ROW]
[ROW][C]0.67[/C][C]98.5055316028578[/C][C]1.4607252853429[/C][/ROW]
[ROW][C]0.68[/C][C]98.8233907022873[/C][C]1.28932380019697[/C][/ROW]
[ROW][C]0.69[/C][C]99.1053466270014[/C][C]1.13215709836088[/C][/ROW]
[ROW][C]0.7[/C][C]99.3550417464731[/C][C]0.991208265494539[/C][/ROW]
[ROW][C]0.71[/C][C]99.5766605636604[/C][C]0.868922953078175[/C][/ROW]
[ROW][C]0.72[/C][C]99.774967941356[/C][C]0.768764108362758[/C][/ROW]
[ROW][C]0.73[/C][C]99.955131797522[/C][C]0.692124545244409[/C][/ROW]
[ROW][C]0.74[/C][C]100.122372459896[/C][C]0.638608706543668[/C][/ROW]
[ROW][C]0.75[/C][C]100.281547532493[/C][C]0.605509487928097[/C][/ROW]
[ROW][C]0.76[/C][C]100.436800063068[/C][C]0.588176130285068[/C][/ROW]
[ROW][C]0.77[/C][C]100.591365306636[/C][C]0.581681338308217[/C][/ROW]
[ROW][C]0.78[/C][C]100.747564924743[/C][C]0.581612752086357[/C][/ROW]
[ROW][C]0.79[/C][C]100.906948890757[/C][C]0.585013488308442[/C][/ROW]
[ROW][C]0.8[/C][C]101.070507742427[/C][C]0.590141381720871[/C][/ROW]
[ROW][C]0.81[/C][C]101.238889878095[/C][C]0.595852700267641[/C][/ROW]
[ROW][C]0.82[/C][C]101.412612806536[/C][C]0.601536997500291[/C][/ROW]
[ROW][C]0.83[/C][C]101.592317297145[/C][C]0.607356709852119[/C][/ROW]
[ROW][C]0.84[/C][C]101.779124987867[/C][C]0.614487686527975[/C][/ROW]
[ROW][C]0.85[/C][C]101.975077289937[/C][C]0.625939208673057[/C][/ROW]
[ROW][C]0.86[/C][C]102.183458743804[/C][C]0.645958841380345[/C][/ROW]
[ROW][C]0.87[/C][C]102.408630797986[/C][C]0.678319026961068[/C][/ROW]
[ROW][C]0.88[/C][C]102.654995619176[/C][C]0.721956536931002[/C][/ROW]
[ROW][C]0.89[/C][C]102.925032226395[/C][C]0.767866457227619[/C][/ROW]
[ROW][C]0.9[/C][C]103.216955838404[/C][C]0.79994524432028[/C][/ROW]
[ROW][C]0.91[/C][C]103.523085085284[/C][C]0.800210889200719[/C][/ROW]
[ROW][C]0.92[/C][C]103.829972000895[/C][C]0.756415946914685[/C][/ROW]
[ROW][C]0.93[/C][C]104.120628813494[/C][C]0.667605940429314[/C][/ROW]
[ROW][C]0.94[/C][C]104.378304529017[/C][C]0.543903212647372[/C][/ROW]
[ROW][C]0.95[/C][C]104.590960896737[/C][C]0.404125301888694[/C][/ROW]
[ROW][C]0.96[/C][C]104.755842003723[/C][C]0.27227171927729[/C][/ROW]
[ROW][C]0.97[/C][C]104.883061078387[/C][C]0.174305829153104[/C][/ROW]
[ROW][C]0.98[/C][C]104.993983631848[/C][C]0.128988650975581[/C][/ROW]
[ROW][C]0.99[/C][C]105.103208680255[/C][C]0.122984368690888[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282082&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282082&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
0.0174.71425560536011.29234773202038
0.0275.95843091903841.75965263094085
0.0377.24174713080391.75453628537461
0.0478.27817715905841.31369192146631
0.0578.97262715771210.813188874748656
0.0679.38249410537850.475208674220702
0.0779.62064938091050.328498591922878
0.0879.78334727908330.323227103616469
0.0979.9313376972440.401298740667972
0.180.09750992109250.524032700340896
0.1180.29687069735890.662666702680026
0.1280.53187826528670.7873483966192
0.1380.79508631779660.871074420915469
0.1481.0720593477850.896919177042243
0.1581.34553474214460.863411413094926
0.1681.59994369787940.783568384764091
0.1781.82481479660620.678877354682381
0.1882.01614178127660.571553592812315
0.1982.17577073002690.479664625159334
0.282.30956382918860.413856664521801
0.2182.42525355565010.377541663371235
0.2282.53064103531490.368475764443578
0.2382.63240586493150.380522055969159
0.2482.73550381830380.405742982726297
0.2582.84300209713040.437139404742611
0.2682.95619568799010.468369562339454
0.2783.07488926491170.494717725196476
0.2883.19776737736260.512580960060537
0.2983.32279703205690.520518411249957
0.383.44761764656570.5176112306419
0.3183.56988357084840.504922225535139
0.3283.68753833337750.4839867255023
0.3383.7990161501140.45739367440213
0.3483.90338146977690.427652452598477
0.3584.00042847972960.398063059188991
0.3684.09076794213240.372226610088809
0.3784.17592738502870.354703275047709
0.3884.2584813283630.351005905133821
0.3984.34221010957340.367437367179973
0.484.43226038272440.412407067089196
0.4184.53525281610980.492999036859545
0.4284.65926237343120.615915288082817
0.4384.8135950898430.785008698512987
0.4485.00831074221771.00180170928524
0.4585.25349321835761.2632013057877
0.4685.55833815903521.56229281194768
0.4785.93018919197861.88740221656877
0.4886.37368584302812.22397667795376
0.4986.89017205651962.55561266919527
0.587.47745524646922.86657552217859
0.5188.12992208123183.14227837980262
0.5288.8389406596033.37089912439624
0.5389.59343862189413.54392129802181
0.5490.38055520623993.65539366879479
0.5591.18631067519183.7015768978973
0.5691.99628897103083.68184928979528
0.5792.79635621779323.59866224076566
0.5893.57342100119993.45793721550805
0.5994.3161896893123.26929253222131
0.695.01581118601013.04514184898871
0.6195.66627746439822.80006365570876
0.6296.26447368588722.54801994708649
0.6396.80985302068232.30063307226555
0.6497.3038174857662.06597192319505
0.6597.7489737133211.84786030863815
0.6698.14846377397861.64651114226035
0.6798.50553160285781.4607252853429
0.6898.82339070228731.28932380019697
0.6999.10534662700141.13215709836088
0.799.35504174647310.991208265494539
0.7199.57666056366040.868922953078175
0.7299.7749679413560.768764108362758
0.7399.9551317975220.692124545244409
0.74100.1223724598960.638608706543668
0.75100.2815475324930.605509487928097
0.76100.4368000630680.588176130285068
0.77100.5913653066360.581681338308217
0.78100.7475649247430.581612752086357
0.79100.9069488907570.585013488308442
0.8101.0705077424270.590141381720871
0.81101.2388898780950.595852700267641
0.82101.4126128065360.601536997500291
0.83101.5923172971450.607356709852119
0.84101.7791249878670.614487686527975
0.85101.9750772899370.625939208673057
0.86102.1834587438040.645958841380345
0.87102.4086307979860.678319026961068
0.88102.6549956191760.721956536931002
0.89102.9250322263950.767866457227619
0.9103.2169558384040.79994524432028
0.91103.5230850852840.800210889200719
0.92103.8299720008950.756415946914685
0.93104.1206288134940.667605940429314
0.94104.3783045290170.543903212647372
0.95104.5909608967370.404125301888694
0.96104.7558420037230.27227171927729
0.97104.8830610783870.174305829153104
0.98104.9939836318480.128988650975581
0.99105.1032086802550.122984368690888


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')