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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, 18 Oct 2011 10:56:34 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/18/t1318949843ca3290opk5ini0z.htm/, Retrieved Thu, 16 May 2024 23:02:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=132120, Retrieved Thu, 16 May 2024 23:02:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact54

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] [] [2011-10-18 14:52:10] [c804c9d9debe6cbacd66d26bebf6dd2f]
- R PD    [Harrell-Davis Quantiles] [] [2011-10-18 14:56:34] [c81f0c87bb000ca3e7f952ee43cfaf8d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99.96
100.21
100.37
101.11
101.04
101.02
101.02
101.11
100.96
101.27
101.01
101.07
101.07
101.07
101.24
101.29
101.67
101.66
101.66
101.66
101.8
102.32
102.38
102.4
102.39
102.78
102.81
102.82
102.96
102.98
102.98
103.03
103.26
103.47
103.58
103.52
103.52
103.52
103.54
103.74
103.94
103.9
103.9
103.9
103.87
104.51
104.82
104.87
104.87
105.13
105.22
105.02
104.7
104.76
104.76
104.57
104.64
104.72
104.49
104.42

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132120&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132120&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132120&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.0300446851790.2472104448742
0.02100.1457965335840.273252162252076
0.03100.285363761940.314818688966435
0.04100.4306683525540.341026791448885
0.05100.5690565641510.334412629946538
0.06100.6918374009950.296830536204037
0.07100.7938776286330.241478363194622
0.08100.8737052319390.182991145228677
0.09100.9330297507180.13201376903415
0.1100.9755917279360.0936847152810151
0.11101.0058614872180.0690152588803976
0.12101.0280574638380.0565415816675044
0.13101.0456458055090.0537365518891188
0.14101.0612382290930.0578292252791061
0.15101.0767145391280.0669235285277872
0.16101.0934163342210.0798716316957937
0.17101.1123199764770.0961182228708674
0.18101.1341541890370.115087998807112
0.19101.1594638275810.13636818689388
0.2101.1886371404750.159168737273723
0.21101.2219160995740.182885609446284
0.22101.2594049277670.206840804599745
0.23101.3010853407840.230449804752144
0.24101.3468407414550.25342836469778
0.25101.3964868033350.275212761026817
0.26101.4498030148360.296165860251756
0.27101.5065589262590.316154104000134
0.28101.5665298865250.335463018599412
0.29101.6294995361580.354060906504685
0.3101.6952495436130.371965823630909
0.31101.763540189560.388795458956065
0.32101.8340876174120.404038498172955
0.33101.9065443322330.417151323938058
0.34101.9804887033070.427370570390254
0.35102.0554270989430.434164041506065
0.36102.130809468740.43716353332565
0.37102.2060564207040.436397589794063
0.38102.2805937469320.431781930606005
0.39102.3538892939030.423970552309748
0.4102.4254870898760.413315501037881
0.41102.4950345026150.400827033693017
0.42102.562299536590.387116612636029
0.43102.6271768281350.373017961799347
0.44102.6896822122010.359438469627494
0.45102.7499368191260.346842633780947
0.46102.8081425366620.335752754630718
0.47102.8645514069690.32647726136393
0.48102.9194321501660.319060037406704
0.49102.9730374626890.313187803432814
0.5103.0255758989640.308532689247907
0.51103.0771918508510.304588339839016
0.52103.1279562832790.300626782218784
0.53103.1778694806740.296098502977942
0.54103.226875280340.290660292040806
0.55103.2748844316780.284110591104168
0.56103.3218032150320.276447140102606
0.57103.367562643130.268041289641264
0.58103.4121436757660.259336505030075
0.59103.4555949099120.250966950515503
0.6103.4980409243630.243365850523585
0.61103.5396814226170.237342247277458
0.62103.5807830032920.23311484048779
0.63103.621666325870.230899120672349
0.64103.6626913703070.230797646381794
0.65103.7042424599270.232866884236508
0.66103.7467131024210.237148766549135
0.67103.7904891199420.24333266157306
0.68103.8359276672350.251544985532232
0.69103.8833300960170.261316256259532
0.7103.9329083631870.272198246514859
0.71103.9847474599840.283409718133702
0.72104.0387693636540.293817019339349
0.73104.094706232670.302191456276069
0.74104.1520910056310.307436549363831
0.75104.210271682550.30833538486299
0.76104.2684515237910.304205942926431
0.77104.3257521032880.294833661560218
0.78104.3812910334670.280463969247288
0.79104.4342627550430.261875683626879
0.8104.4840101216560.240169081651526
0.81104.5300768148440.216686878656103
0.82104.5722351471480.192791116600923
0.83104.610489128080.169665473065781
0.84104.6450572828420.148352126758638
0.85104.676342698320.12959613740997
0.86104.7048990926320.113797472088152
0.87104.7314019326470.101307542122914
0.88104.7566329813080.092232239938296
0.89104.7814839007750.0865357906170186
0.9104.8069767527140.0842829340598268
0.91104.8342838581150.0855762595431455
0.92104.8647089020330.0906580085959774
0.93104.8995772472230.0992304273470718
0.94104.9399943652390.109842954051709
0.95104.9864720064050.119364183645218
0.96105.0384542609010.123589490010317
0.97105.0937347401060.119227291411218
0.98105.1477103174440.107057691039905
0.99105.1928276383720.0943153065914519

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.030044685179 & 0.2472104448742 \tabularnewline
0.02 & 100.145796533584 & 0.273252162252076 \tabularnewline
0.03 & 100.28536376194 & 0.314818688966435 \tabularnewline
0.04 & 100.430668352554 & 0.341026791448885 \tabularnewline
0.05 & 100.569056564151 & 0.334412629946538 \tabularnewline
0.06 & 100.691837400995 & 0.296830536204037 \tabularnewline
0.07 & 100.793877628633 & 0.241478363194622 \tabularnewline
0.08 & 100.873705231939 & 0.182991145228677 \tabularnewline
0.09 & 100.933029750718 & 0.13201376903415 \tabularnewline
0.1 & 100.975591727936 & 0.0936847152810151 \tabularnewline
0.11 & 101.005861487218 & 0.0690152588803976 \tabularnewline
0.12 & 101.028057463838 & 0.0565415816675044 \tabularnewline
0.13 & 101.045645805509 & 0.0537365518891188 \tabularnewline
0.14 & 101.061238229093 & 0.0578292252791061 \tabularnewline
0.15 & 101.076714539128 & 0.0669235285277872 \tabularnewline
0.16 & 101.093416334221 & 0.0798716316957937 \tabularnewline
0.17 & 101.112319976477 & 0.0961182228708674 \tabularnewline
0.18 & 101.134154189037 & 0.115087998807112 \tabularnewline
0.19 & 101.159463827581 & 0.13636818689388 \tabularnewline
0.2 & 101.188637140475 & 0.159168737273723 \tabularnewline
0.21 & 101.221916099574 & 0.182885609446284 \tabularnewline
0.22 & 101.259404927767 & 0.206840804599745 \tabularnewline
0.23 & 101.301085340784 & 0.230449804752144 \tabularnewline
0.24 & 101.346840741455 & 0.25342836469778 \tabularnewline
0.25 & 101.396486803335 & 0.275212761026817 \tabularnewline
0.26 & 101.449803014836 & 0.296165860251756 \tabularnewline
0.27 & 101.506558926259 & 0.316154104000134 \tabularnewline
0.28 & 101.566529886525 & 0.335463018599412 \tabularnewline
0.29 & 101.629499536158 & 0.354060906504685 \tabularnewline
0.3 & 101.695249543613 & 0.371965823630909 \tabularnewline
0.31 & 101.76354018956 & 0.388795458956065 \tabularnewline
0.32 & 101.834087617412 & 0.404038498172955 \tabularnewline
0.33 & 101.906544332233 & 0.417151323938058 \tabularnewline
0.34 & 101.980488703307 & 0.427370570390254 \tabularnewline
0.35 & 102.055427098943 & 0.434164041506065 \tabularnewline
0.36 & 102.13080946874 & 0.43716353332565 \tabularnewline
0.37 & 102.206056420704 & 0.436397589794063 \tabularnewline
0.38 & 102.280593746932 & 0.431781930606005 \tabularnewline
0.39 & 102.353889293903 & 0.423970552309748 \tabularnewline
0.4 & 102.425487089876 & 0.413315501037881 \tabularnewline
0.41 & 102.495034502615 & 0.400827033693017 \tabularnewline
0.42 & 102.56229953659 & 0.387116612636029 \tabularnewline
0.43 & 102.627176828135 & 0.373017961799347 \tabularnewline
0.44 & 102.689682212201 & 0.359438469627494 \tabularnewline
0.45 & 102.749936819126 & 0.346842633780947 \tabularnewline
0.46 & 102.808142536662 & 0.335752754630718 \tabularnewline
0.47 & 102.864551406969 & 0.32647726136393 \tabularnewline
0.48 & 102.919432150166 & 0.319060037406704 \tabularnewline
0.49 & 102.973037462689 & 0.313187803432814 \tabularnewline
0.5 & 103.025575898964 & 0.308532689247907 \tabularnewline
0.51 & 103.077191850851 & 0.304588339839016 \tabularnewline
0.52 & 103.127956283279 & 0.300626782218784 \tabularnewline
0.53 & 103.177869480674 & 0.296098502977942 \tabularnewline
0.54 & 103.22687528034 & 0.290660292040806 \tabularnewline
0.55 & 103.274884431678 & 0.284110591104168 \tabularnewline
0.56 & 103.321803215032 & 0.276447140102606 \tabularnewline
0.57 & 103.36756264313 & 0.268041289641264 \tabularnewline
0.58 & 103.412143675766 & 0.259336505030075 \tabularnewline
0.59 & 103.455594909912 & 0.250966950515503 \tabularnewline
0.6 & 103.498040924363 & 0.243365850523585 \tabularnewline
0.61 & 103.539681422617 & 0.237342247277458 \tabularnewline
0.62 & 103.580783003292 & 0.23311484048779 \tabularnewline
0.63 & 103.62166632587 & 0.230899120672349 \tabularnewline
0.64 & 103.662691370307 & 0.230797646381794 \tabularnewline
0.65 & 103.704242459927 & 0.232866884236508 \tabularnewline
0.66 & 103.746713102421 & 0.237148766549135 \tabularnewline
0.67 & 103.790489119942 & 0.24333266157306 \tabularnewline
0.68 & 103.835927667235 & 0.251544985532232 \tabularnewline
0.69 & 103.883330096017 & 0.261316256259532 \tabularnewline
0.7 & 103.932908363187 & 0.272198246514859 \tabularnewline
0.71 & 103.984747459984 & 0.283409718133702 \tabularnewline
0.72 & 104.038769363654 & 0.293817019339349 \tabularnewline
0.73 & 104.09470623267 & 0.302191456276069 \tabularnewline
0.74 & 104.152091005631 & 0.307436549363831 \tabularnewline
0.75 & 104.21027168255 & 0.30833538486299 \tabularnewline
0.76 & 104.268451523791 & 0.304205942926431 \tabularnewline
0.77 & 104.325752103288 & 0.294833661560218 \tabularnewline
0.78 & 104.381291033467 & 0.280463969247288 \tabularnewline
0.79 & 104.434262755043 & 0.261875683626879 \tabularnewline
0.8 & 104.484010121656 & 0.240169081651526 \tabularnewline
0.81 & 104.530076814844 & 0.216686878656103 \tabularnewline
0.82 & 104.572235147148 & 0.192791116600923 \tabularnewline
0.83 & 104.61048912808 & 0.169665473065781 \tabularnewline
0.84 & 104.645057282842 & 0.148352126758638 \tabularnewline
0.85 & 104.67634269832 & 0.12959613740997 \tabularnewline
0.86 & 104.704899092632 & 0.113797472088152 \tabularnewline
0.87 & 104.731401932647 & 0.101307542122914 \tabularnewline
0.88 & 104.756632981308 & 0.092232239938296 \tabularnewline
0.89 & 104.781483900775 & 0.0865357906170186 \tabularnewline
0.9 & 104.806976752714 & 0.0842829340598268 \tabularnewline
0.91 & 104.834283858115 & 0.0855762595431455 \tabularnewline
0.92 & 104.864708902033 & 0.0906580085959774 \tabularnewline
0.93 & 104.899577247223 & 0.0992304273470718 \tabularnewline
0.94 & 104.939994365239 & 0.109842954051709 \tabularnewline
0.95 & 104.986472006405 & 0.119364183645218 \tabularnewline
0.96 & 105.038454260901 & 0.123589490010317 \tabularnewline
0.97 & 105.093734740106 & 0.119227291411218 \tabularnewline
0.98 & 105.147710317444 & 0.107057691039905 \tabularnewline
0.99 & 105.192827638372 & 0.0943153065914519 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132120&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]100.030044685179[/C][C]0.2472104448742[/C][/ROW]
[ROW][C]0.02[/C][C]100.145796533584[/C][C]0.273252162252076[/C][/ROW]
[ROW][C]0.03[/C][C]100.28536376194[/C][C]0.314818688966435[/C][/ROW]
[ROW][C]0.04[/C][C]100.430668352554[/C][C]0.341026791448885[/C][/ROW]
[ROW][C]0.05[/C][C]100.569056564151[/C][C]0.334412629946538[/C][/ROW]
[ROW][C]0.06[/C][C]100.691837400995[/C][C]0.296830536204037[/C][/ROW]
[ROW][C]0.07[/C][C]100.793877628633[/C][C]0.241478363194622[/C][/ROW]
[ROW][C]0.08[/C][C]100.873705231939[/C][C]0.182991145228677[/C][/ROW]
[ROW][C]0.09[/C][C]100.933029750718[/C][C]0.13201376903415[/C][/ROW]
[ROW][C]0.1[/C][C]100.975591727936[/C][C]0.0936847152810151[/C][/ROW]
[ROW][C]0.11[/C][C]101.005861487218[/C][C]0.0690152588803976[/C][/ROW]
[ROW][C]0.12[/C][C]101.028057463838[/C][C]0.0565415816675044[/C][/ROW]
[ROW][C]0.13[/C][C]101.045645805509[/C][C]0.0537365518891188[/C][/ROW]
[ROW][C]0.14[/C][C]101.061238229093[/C][C]0.0578292252791061[/C][/ROW]
[ROW][C]0.15[/C][C]101.076714539128[/C][C]0.0669235285277872[/C][/ROW]
[ROW][C]0.16[/C][C]101.093416334221[/C][C]0.0798716316957937[/C][/ROW]
[ROW][C]0.17[/C][C]101.112319976477[/C][C]0.0961182228708674[/C][/ROW]
[ROW][C]0.18[/C][C]101.134154189037[/C][C]0.115087998807112[/C][/ROW]
[ROW][C]0.19[/C][C]101.159463827581[/C][C]0.13636818689388[/C][/ROW]
[ROW][C]0.2[/C][C]101.188637140475[/C][C]0.159168737273723[/C][/ROW]
[ROW][C]0.21[/C][C]101.221916099574[/C][C]0.182885609446284[/C][/ROW]
[ROW][C]0.22[/C][C]101.259404927767[/C][C]0.206840804599745[/C][/ROW]
[ROW][C]0.23[/C][C]101.301085340784[/C][C]0.230449804752144[/C][/ROW]
[ROW][C]0.24[/C][C]101.346840741455[/C][C]0.25342836469778[/C][/ROW]
[ROW][C]0.25[/C][C]101.396486803335[/C][C]0.275212761026817[/C][/ROW]
[ROW][C]0.26[/C][C]101.449803014836[/C][C]0.296165860251756[/C][/ROW]
[ROW][C]0.27[/C][C]101.506558926259[/C][C]0.316154104000134[/C][/ROW]
[ROW][C]0.28[/C][C]101.566529886525[/C][C]0.335463018599412[/C][/ROW]
[ROW][C]0.29[/C][C]101.629499536158[/C][C]0.354060906504685[/C][/ROW]
[ROW][C]0.3[/C][C]101.695249543613[/C][C]0.371965823630909[/C][/ROW]
[ROW][C]0.31[/C][C]101.76354018956[/C][C]0.388795458956065[/C][/ROW]
[ROW][C]0.32[/C][C]101.834087617412[/C][C]0.404038498172955[/C][/ROW]
[ROW][C]0.33[/C][C]101.906544332233[/C][C]0.417151323938058[/C][/ROW]
[ROW][C]0.34[/C][C]101.980488703307[/C][C]0.427370570390254[/C][/ROW]
[ROW][C]0.35[/C][C]102.055427098943[/C][C]0.434164041506065[/C][/ROW]
[ROW][C]0.36[/C][C]102.13080946874[/C][C]0.43716353332565[/C][/ROW]
[ROW][C]0.37[/C][C]102.206056420704[/C][C]0.436397589794063[/C][/ROW]
[ROW][C]0.38[/C][C]102.280593746932[/C][C]0.431781930606005[/C][/ROW]
[ROW][C]0.39[/C][C]102.353889293903[/C][C]0.423970552309748[/C][/ROW]
[ROW][C]0.4[/C][C]102.425487089876[/C][C]0.413315501037881[/C][/ROW]
[ROW][C]0.41[/C][C]102.495034502615[/C][C]0.400827033693017[/C][/ROW]
[ROW][C]0.42[/C][C]102.56229953659[/C][C]0.387116612636029[/C][/ROW]
[ROW][C]0.43[/C][C]102.627176828135[/C][C]0.373017961799347[/C][/ROW]
[ROW][C]0.44[/C][C]102.689682212201[/C][C]0.359438469627494[/C][/ROW]
[ROW][C]0.45[/C][C]102.749936819126[/C][C]0.346842633780947[/C][/ROW]
[ROW][C]0.46[/C][C]102.808142536662[/C][C]0.335752754630718[/C][/ROW]
[ROW][C]0.47[/C][C]102.864551406969[/C][C]0.32647726136393[/C][/ROW]
[ROW][C]0.48[/C][C]102.919432150166[/C][C]0.319060037406704[/C][/ROW]
[ROW][C]0.49[/C][C]102.973037462689[/C][C]0.313187803432814[/C][/ROW]
[ROW][C]0.5[/C][C]103.025575898964[/C][C]0.308532689247907[/C][/ROW]
[ROW][C]0.51[/C][C]103.077191850851[/C][C]0.304588339839016[/C][/ROW]
[ROW][C]0.52[/C][C]103.127956283279[/C][C]0.300626782218784[/C][/ROW]
[ROW][C]0.53[/C][C]103.177869480674[/C][C]0.296098502977942[/C][/ROW]
[ROW][C]0.54[/C][C]103.22687528034[/C][C]0.290660292040806[/C][/ROW]
[ROW][C]0.55[/C][C]103.274884431678[/C][C]0.284110591104168[/C][/ROW]
[ROW][C]0.56[/C][C]103.321803215032[/C][C]0.276447140102606[/C][/ROW]
[ROW][C]0.57[/C][C]103.36756264313[/C][C]0.268041289641264[/C][/ROW]
[ROW][C]0.58[/C][C]103.412143675766[/C][C]0.259336505030075[/C][/ROW]
[ROW][C]0.59[/C][C]103.455594909912[/C][C]0.250966950515503[/C][/ROW]
[ROW][C]0.6[/C][C]103.498040924363[/C][C]0.243365850523585[/C][/ROW]
[ROW][C]0.61[/C][C]103.539681422617[/C][C]0.237342247277458[/C][/ROW]
[ROW][C]0.62[/C][C]103.580783003292[/C][C]0.23311484048779[/C][/ROW]
[ROW][C]0.63[/C][C]103.62166632587[/C][C]0.230899120672349[/C][/ROW]
[ROW][C]0.64[/C][C]103.662691370307[/C][C]0.230797646381794[/C][/ROW]
[ROW][C]0.65[/C][C]103.704242459927[/C][C]0.232866884236508[/C][/ROW]
[ROW][C]0.66[/C][C]103.746713102421[/C][C]0.237148766549135[/C][/ROW]
[ROW][C]0.67[/C][C]103.790489119942[/C][C]0.24333266157306[/C][/ROW]
[ROW][C]0.68[/C][C]103.835927667235[/C][C]0.251544985532232[/C][/ROW]
[ROW][C]0.69[/C][C]103.883330096017[/C][C]0.261316256259532[/C][/ROW]
[ROW][C]0.7[/C][C]103.932908363187[/C][C]0.272198246514859[/C][/ROW]
[ROW][C]0.71[/C][C]103.984747459984[/C][C]0.283409718133702[/C][/ROW]
[ROW][C]0.72[/C][C]104.038769363654[/C][C]0.293817019339349[/C][/ROW]
[ROW][C]0.73[/C][C]104.09470623267[/C][C]0.302191456276069[/C][/ROW]
[ROW][C]0.74[/C][C]104.152091005631[/C][C]0.307436549363831[/C][/ROW]
[ROW][C]0.75[/C][C]104.21027168255[/C][C]0.30833538486299[/C][/ROW]
[ROW][C]0.76[/C][C]104.268451523791[/C][C]0.304205942926431[/C][/ROW]
[ROW][C]0.77[/C][C]104.325752103288[/C][C]0.294833661560218[/C][/ROW]
[ROW][C]0.78[/C][C]104.381291033467[/C][C]0.280463969247288[/C][/ROW]
[ROW][C]0.79[/C][C]104.434262755043[/C][C]0.261875683626879[/C][/ROW]
[ROW][C]0.8[/C][C]104.484010121656[/C][C]0.240169081651526[/C][/ROW]
[ROW][C]0.81[/C][C]104.530076814844[/C][C]0.216686878656103[/C][/ROW]
[ROW][C]0.82[/C][C]104.572235147148[/C][C]0.192791116600923[/C][/ROW]
[ROW][C]0.83[/C][C]104.61048912808[/C][C]0.169665473065781[/C][/ROW]
[ROW][C]0.84[/C][C]104.645057282842[/C][C]0.148352126758638[/C][/ROW]
[ROW][C]0.85[/C][C]104.67634269832[/C][C]0.12959613740997[/C][/ROW]
[ROW][C]0.86[/C][C]104.704899092632[/C][C]0.113797472088152[/C][/ROW]
[ROW][C]0.87[/C][C]104.731401932647[/C][C]0.101307542122914[/C][/ROW]
[ROW][C]0.88[/C][C]104.756632981308[/C][C]0.092232239938296[/C][/ROW]
[ROW][C]0.89[/C][C]104.781483900775[/C][C]0.0865357906170186[/C][/ROW]
[ROW][C]0.9[/C][C]104.806976752714[/C][C]0.0842829340598268[/C][/ROW]
[ROW][C]0.91[/C][C]104.834283858115[/C][C]0.0855762595431455[/C][/ROW]
[ROW][C]0.92[/C][C]104.864708902033[/C][C]0.0906580085959774[/C][/ROW]
[ROW][C]0.93[/C][C]104.899577247223[/C][C]0.0992304273470718[/C][/ROW]
[ROW][C]0.94[/C][C]104.939994365239[/C][C]0.109842954051709[/C][/ROW]
[ROW][C]0.95[/C][C]104.986472006405[/C][C]0.119364183645218[/C][/ROW]
[ROW][C]0.96[/C][C]105.038454260901[/C][C]0.123589490010317[/C][/ROW]
[ROW][C]0.97[/C][C]105.093734740106[/C][C]0.119227291411218[/C][/ROW]
[ROW][C]0.98[/C][C]105.147710317444[/C][C]0.107057691039905[/C][/ROW]
[ROW][C]0.99[/C][C]105.192827638372[/C][C]0.0943153065914519[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132120&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132120&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
0.01100.0300446851790.2472104448742
0.02100.1457965335840.273252162252076
0.03100.285363761940.314818688966435
0.04100.4306683525540.341026791448885
0.05100.5690565641510.334412629946538
0.06100.6918374009950.296830536204037
0.07100.7938776286330.241478363194622
0.08100.8737052319390.182991145228677
0.09100.9330297507180.13201376903415
0.1100.9755917279360.0936847152810151
0.11101.0058614872180.0690152588803976
0.12101.0280574638380.0565415816675044
0.13101.0456458055090.0537365518891188
0.14101.0612382290930.0578292252791061
0.15101.0767145391280.0669235285277872
0.16101.0934163342210.0798716316957937
0.17101.1123199764770.0961182228708674
0.18101.1341541890370.115087998807112
0.19101.1594638275810.13636818689388
0.2101.1886371404750.159168737273723
0.21101.2219160995740.182885609446284
0.22101.2594049277670.206840804599745
0.23101.3010853407840.230449804752144
0.24101.3468407414550.25342836469778
0.25101.3964868033350.275212761026817
0.26101.4498030148360.296165860251756
0.27101.5065589262590.316154104000134
0.28101.5665298865250.335463018599412
0.29101.6294995361580.354060906504685
0.3101.6952495436130.371965823630909
0.31101.763540189560.388795458956065
0.32101.8340876174120.404038498172955
0.33101.9065443322330.417151323938058
0.34101.9804887033070.427370570390254
0.35102.0554270989430.434164041506065
0.36102.130809468740.43716353332565
0.37102.2060564207040.436397589794063
0.38102.2805937469320.431781930606005
0.39102.3538892939030.423970552309748
0.4102.4254870898760.413315501037881
0.41102.4950345026150.400827033693017
0.42102.562299536590.387116612636029
0.43102.6271768281350.373017961799347
0.44102.6896822122010.359438469627494
0.45102.7499368191260.346842633780947
0.46102.8081425366620.335752754630718
0.47102.8645514069690.32647726136393
0.48102.9194321501660.319060037406704
0.49102.9730374626890.313187803432814
0.5103.0255758989640.308532689247907
0.51103.0771918508510.304588339839016
0.52103.1279562832790.300626782218784
0.53103.1778694806740.296098502977942
0.54103.226875280340.290660292040806
0.55103.2748844316780.284110591104168
0.56103.3218032150320.276447140102606
0.57103.367562643130.268041289641264
0.58103.4121436757660.259336505030075
0.59103.4555949099120.250966950515503
0.6103.4980409243630.243365850523585
0.61103.5396814226170.237342247277458
0.62103.5807830032920.23311484048779
0.63103.621666325870.230899120672349
0.64103.6626913703070.230797646381794
0.65103.7042424599270.232866884236508
0.66103.7467131024210.237148766549135
0.67103.7904891199420.24333266157306
0.68103.8359276672350.251544985532232
0.69103.8833300960170.261316256259532
0.7103.9329083631870.272198246514859
0.71103.9847474599840.283409718133702
0.72104.0387693636540.293817019339349
0.73104.094706232670.302191456276069
0.74104.1520910056310.307436549363831
0.75104.210271682550.30833538486299
0.76104.2684515237910.304205942926431
0.77104.3257521032880.294833661560218
0.78104.3812910334670.280463969247288
0.79104.4342627550430.261875683626879
0.8104.4840101216560.240169081651526
0.81104.5300768148440.216686878656103
0.82104.5722351471480.192791116600923
0.83104.610489128080.169665473065781
0.84104.6450572828420.148352126758638
0.85104.676342698320.12959613740997
0.86104.7048990926320.113797472088152
0.87104.7314019326470.101307542122914
0.88104.7566329813080.092232239938296
0.89104.7814839007750.0865357906170186
0.9104.8069767527140.0842829340598268
0.91104.8342838581150.0855762595431455
0.92104.8647089020330.0906580085959774
0.93104.8995772472230.0992304273470718
0.94104.9399943652390.109842954051709
0.95104.9864720064050.119364183645218
0.96105.0384542609010.123589490010317
0.97105.0937347401060.119227291411218
0.98105.1477103174440.107057691039905
0.99105.1928276383720.0943153065914519


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')