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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, 29 Dec 2012 05:45:36 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/29/t1356777949otp51e5lfcr2mfj.htm/, Retrieved Wed, 01 May 2024 23:25:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204862, Retrieved Wed, 01 May 2024 23:25:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

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] [] [2012-12-29 10:45:36] [6e9dcd0648fbf01fc48a73ddbea19f30] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.01
99.2
100.7
106.41
107.51
107.1
99.75
98.96
107.26
107.11
107.2
107.65
104.78
105.56
107.95
107.11
107.47
107.06
99.71
99.6
107.19
107.26
113.24
113.52
110.48
111.41
115.5
118.32
118.42
117.5
110.23
109.19
118.41
118.3
116.1
114.11
113.41
114.33
116.61
123.64
123.77
123.39
116.03
114.95
123.4
123.53
114.45
114.26
114.35
112.77
115.31
114.93
116.38
115.07
105
103.43
114.52
115.04
117.16
115
116.22
112.92
116.56
114.32
113.22
111.56
103.87
102.85
112.27
112.76
118.55
122.73

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204862&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204862&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204862&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.27811320658230.774440429126718
0.0298.65206190584680.59669479766242
0.0399.00937229063740.521580315935886
0.0499.32522739646740.582082479455801
0.0599.63147219401080.758558644657048
0.0699.96785732458791.01591378137813
0.07100.3605872235461.30642567809488
0.08100.8177454792851.57702517527319
0.09101.3313638469211.78396492957688
0.1101.8825683029721.90437180923952
0.11102.4480679944711.93906263764648
0.12103.0060420506341.90585072808765
0.13103.5398629970671.82938604527533
0.14104.0392033646481.73079448937941
0.15104.4991239489361.6234792535977
0.16104.9182261376181.51229251310122
0.17105.296852513541.39676523365543
0.18105.635904820881.27513588641969
0.19105.9364034950631.14696413253492
0.2106.1996107951981.01482285989076
0.21106.427422453940.884060963216532
0.22106.6227592370290.762035833151211
0.23106.7897894954540.656616799322625
0.24106.9339244025320.576320796985218
0.25107.0616106570730.528492978484417
0.26107.179987348210.518965741631615
0.27107.2964790688390.549590686533799
0.28107.4183804677120.618114860394259
0.29107.5524640956910.719452510557956
0.3107.7046254975780.847264777648022
0.31107.8795723338420.993967724877709
0.32108.080566878771.15182103045484
0.33108.309238422781.31176753677007
0.34108.5654876756371.46489040582005
0.35108.8475045031261.60228749219508
0.36109.1519115547031.71618928556278
0.37109.4740311112841.80055114116301
0.38109.8082546618261.8515300737008
0.39110.1484789304791.86767605178528
0.4110.4885621726631.85050862810435
0.41110.8227525642831.80281570145665
0.42111.1460463136031.72984875585141
0.43111.454444869731.63773617939503
0.44111.74509548741.53305136624866
0.45112.0163145872791.42218292158478
0.46112.267506582731.31111524856962
0.47112.4990007698621.20429554256012
0.48112.7118349507031.10546211110324
0.49112.9075166781521.01643940689375
0.5113.0877916508690.938048244486905
0.51113.254444259840.869859516954803
0.52113.4091481684230.810630338821125
0.53113.5533759347820.75850591302886
0.54113.6883672404080.71198686567167
0.55113.8151467198780.669696392449593
0.56113.9345761589630.630829620616872
0.57114.0474230427930.595132809977235
0.58114.1544284660070.562719739461645
0.59114.2563617050550.534300537979821
0.6114.35405489180.510358378167684
0.61114.4484173414430.491436229458733
0.62114.5404334182650.477941596344147
0.63114.6311493279050.470067160070091
0.64114.7216529687440.467879122279539
0.65114.8130481367520.471226723932047
0.66114.9064218316830.480164800534342
0.67115.0028029881390.494205913489998
0.68115.1031136274520.512530753157633
0.69115.2081187375740.534022684334112
0.7115.3183871637280.557448987851777
0.71115.4342794621750.58106662319432
0.72115.5559770975380.603636958301053
0.73115.68355890230.624357654628288
0.74115.8171160840960.643279636578682
0.75115.9568798701430.661455768115521
0.76116.1033223183480.680583605785698
0.77116.2571884806740.702685537411723
0.78116.4194338597880.72897039150424
0.79116.5910783361250.759609956034775
0.8116.7730430111320.793066308270138
0.81116.9660960501230.826594759818108
0.82117.1710714376790.85784462702559
0.83117.3895031312320.886977124316566
0.84117.6246965401170.919540537781384
0.85117.8830182670280.96887578501268
0.86118.1748549642321.05538091235011
0.87118.5143936861871.19906379889537
0.88118.9173293515751.40604942784906
0.89119.3960671863641.65625739985119
0.9119.9530865327821.90089631712749
0.91120.5746285443682.07134912326696
0.92121.2280146939062.09928880344035
0.93121.8656309126911.94450295615406
0.94122.4362222590561.61890340646124
0.95122.9001903346661.19081006608728
0.96123.2421824827390.761322032993847
0.97123.4739683293360.421329410749759
0.98123.6243893200140.216302659449675
0.99123.7200620138420.138025982695878

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.2781132065823 & 0.774440429126718 \tabularnewline
0.02 & 98.6520619058468 & 0.59669479766242 \tabularnewline
0.03 & 99.0093722906374 & 0.521580315935886 \tabularnewline
0.04 & 99.3252273964674 & 0.582082479455801 \tabularnewline
0.05 & 99.6314721940108 & 0.758558644657048 \tabularnewline
0.06 & 99.9678573245879 & 1.01591378137813 \tabularnewline
0.07 & 100.360587223546 & 1.30642567809488 \tabularnewline
0.08 & 100.817745479285 & 1.57702517527319 \tabularnewline
0.09 & 101.331363846921 & 1.78396492957688 \tabularnewline
0.1 & 101.882568302972 & 1.90437180923952 \tabularnewline
0.11 & 102.448067994471 & 1.93906263764648 \tabularnewline
0.12 & 103.006042050634 & 1.90585072808765 \tabularnewline
0.13 & 103.539862997067 & 1.82938604527533 \tabularnewline
0.14 & 104.039203364648 & 1.73079448937941 \tabularnewline
0.15 & 104.499123948936 & 1.6234792535977 \tabularnewline
0.16 & 104.918226137618 & 1.51229251310122 \tabularnewline
0.17 & 105.29685251354 & 1.39676523365543 \tabularnewline
0.18 & 105.63590482088 & 1.27513588641969 \tabularnewline
0.19 & 105.936403495063 & 1.14696413253492 \tabularnewline
0.2 & 106.199610795198 & 1.01482285989076 \tabularnewline
0.21 & 106.42742245394 & 0.884060963216532 \tabularnewline
0.22 & 106.622759237029 & 0.762035833151211 \tabularnewline
0.23 & 106.789789495454 & 0.656616799322625 \tabularnewline
0.24 & 106.933924402532 & 0.576320796985218 \tabularnewline
0.25 & 107.061610657073 & 0.528492978484417 \tabularnewline
0.26 & 107.17998734821 & 0.518965741631615 \tabularnewline
0.27 & 107.296479068839 & 0.549590686533799 \tabularnewline
0.28 & 107.418380467712 & 0.618114860394259 \tabularnewline
0.29 & 107.552464095691 & 0.719452510557956 \tabularnewline
0.3 & 107.704625497578 & 0.847264777648022 \tabularnewline
0.31 & 107.879572333842 & 0.993967724877709 \tabularnewline
0.32 & 108.08056687877 & 1.15182103045484 \tabularnewline
0.33 & 108.30923842278 & 1.31176753677007 \tabularnewline
0.34 & 108.565487675637 & 1.46489040582005 \tabularnewline
0.35 & 108.847504503126 & 1.60228749219508 \tabularnewline
0.36 & 109.151911554703 & 1.71618928556278 \tabularnewline
0.37 & 109.474031111284 & 1.80055114116301 \tabularnewline
0.38 & 109.808254661826 & 1.8515300737008 \tabularnewline
0.39 & 110.148478930479 & 1.86767605178528 \tabularnewline
0.4 & 110.488562172663 & 1.85050862810435 \tabularnewline
0.41 & 110.822752564283 & 1.80281570145665 \tabularnewline
0.42 & 111.146046313603 & 1.72984875585141 \tabularnewline
0.43 & 111.45444486973 & 1.63773617939503 \tabularnewline
0.44 & 111.7450954874 & 1.53305136624866 \tabularnewline
0.45 & 112.016314587279 & 1.42218292158478 \tabularnewline
0.46 & 112.26750658273 & 1.31111524856962 \tabularnewline
0.47 & 112.499000769862 & 1.20429554256012 \tabularnewline
0.48 & 112.711834950703 & 1.10546211110324 \tabularnewline
0.49 & 112.907516678152 & 1.01643940689375 \tabularnewline
0.5 & 113.087791650869 & 0.938048244486905 \tabularnewline
0.51 & 113.25444425984 & 0.869859516954803 \tabularnewline
0.52 & 113.409148168423 & 0.810630338821125 \tabularnewline
0.53 & 113.553375934782 & 0.75850591302886 \tabularnewline
0.54 & 113.688367240408 & 0.71198686567167 \tabularnewline
0.55 & 113.815146719878 & 0.669696392449593 \tabularnewline
0.56 & 113.934576158963 & 0.630829620616872 \tabularnewline
0.57 & 114.047423042793 & 0.595132809977235 \tabularnewline
0.58 & 114.154428466007 & 0.562719739461645 \tabularnewline
0.59 & 114.256361705055 & 0.534300537979821 \tabularnewline
0.6 & 114.3540548918 & 0.510358378167684 \tabularnewline
0.61 & 114.448417341443 & 0.491436229458733 \tabularnewline
0.62 & 114.540433418265 & 0.477941596344147 \tabularnewline
0.63 & 114.631149327905 & 0.470067160070091 \tabularnewline
0.64 & 114.721652968744 & 0.467879122279539 \tabularnewline
0.65 & 114.813048136752 & 0.471226723932047 \tabularnewline
0.66 & 114.906421831683 & 0.480164800534342 \tabularnewline
0.67 & 115.002802988139 & 0.494205913489998 \tabularnewline
0.68 & 115.103113627452 & 0.512530753157633 \tabularnewline
0.69 & 115.208118737574 & 0.534022684334112 \tabularnewline
0.7 & 115.318387163728 & 0.557448987851777 \tabularnewline
0.71 & 115.434279462175 & 0.58106662319432 \tabularnewline
0.72 & 115.555977097538 & 0.603636958301053 \tabularnewline
0.73 & 115.6835589023 & 0.624357654628288 \tabularnewline
0.74 & 115.817116084096 & 0.643279636578682 \tabularnewline
0.75 & 115.956879870143 & 0.661455768115521 \tabularnewline
0.76 & 116.103322318348 & 0.680583605785698 \tabularnewline
0.77 & 116.257188480674 & 0.702685537411723 \tabularnewline
0.78 & 116.419433859788 & 0.72897039150424 \tabularnewline
0.79 & 116.591078336125 & 0.759609956034775 \tabularnewline
0.8 & 116.773043011132 & 0.793066308270138 \tabularnewline
0.81 & 116.966096050123 & 0.826594759818108 \tabularnewline
0.82 & 117.171071437679 & 0.85784462702559 \tabularnewline
0.83 & 117.389503131232 & 0.886977124316566 \tabularnewline
0.84 & 117.624696540117 & 0.919540537781384 \tabularnewline
0.85 & 117.883018267028 & 0.96887578501268 \tabularnewline
0.86 & 118.174854964232 & 1.05538091235011 \tabularnewline
0.87 & 118.514393686187 & 1.19906379889537 \tabularnewline
0.88 & 118.917329351575 & 1.40604942784906 \tabularnewline
0.89 & 119.396067186364 & 1.65625739985119 \tabularnewline
0.9 & 119.953086532782 & 1.90089631712749 \tabularnewline
0.91 & 120.574628544368 & 2.07134912326696 \tabularnewline
0.92 & 121.228014693906 & 2.09928880344035 \tabularnewline
0.93 & 121.865630912691 & 1.94450295615406 \tabularnewline
0.94 & 122.436222259056 & 1.61890340646124 \tabularnewline
0.95 & 122.900190334666 & 1.19081006608728 \tabularnewline
0.96 & 123.242182482739 & 0.761322032993847 \tabularnewline
0.97 & 123.473968329336 & 0.421329410749759 \tabularnewline
0.98 & 123.624389320014 & 0.216302659449675 \tabularnewline
0.99 & 123.720062013842 & 0.138025982695878 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204862&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]98.2781132065823[/C][C]0.774440429126718[/C][/ROW]
[ROW][C]0.02[/C][C]98.6520619058468[/C][C]0.59669479766242[/C][/ROW]
[ROW][C]0.03[/C][C]99.0093722906374[/C][C]0.521580315935886[/C][/ROW]
[ROW][C]0.04[/C][C]99.3252273964674[/C][C]0.582082479455801[/C][/ROW]
[ROW][C]0.05[/C][C]99.6314721940108[/C][C]0.758558644657048[/C][/ROW]
[ROW][C]0.06[/C][C]99.9678573245879[/C][C]1.01591378137813[/C][/ROW]
[ROW][C]0.07[/C][C]100.360587223546[/C][C]1.30642567809488[/C][/ROW]
[ROW][C]0.08[/C][C]100.817745479285[/C][C]1.57702517527319[/C][/ROW]
[ROW][C]0.09[/C][C]101.331363846921[/C][C]1.78396492957688[/C][/ROW]
[ROW][C]0.1[/C][C]101.882568302972[/C][C]1.90437180923952[/C][/ROW]
[ROW][C]0.11[/C][C]102.448067994471[/C][C]1.93906263764648[/C][/ROW]
[ROW][C]0.12[/C][C]103.006042050634[/C][C]1.90585072808765[/C][/ROW]
[ROW][C]0.13[/C][C]103.539862997067[/C][C]1.82938604527533[/C][/ROW]
[ROW][C]0.14[/C][C]104.039203364648[/C][C]1.73079448937941[/C][/ROW]
[ROW][C]0.15[/C][C]104.499123948936[/C][C]1.6234792535977[/C][/ROW]
[ROW][C]0.16[/C][C]104.918226137618[/C][C]1.51229251310122[/C][/ROW]
[ROW][C]0.17[/C][C]105.29685251354[/C][C]1.39676523365543[/C][/ROW]
[ROW][C]0.18[/C][C]105.63590482088[/C][C]1.27513588641969[/C][/ROW]
[ROW][C]0.19[/C][C]105.936403495063[/C][C]1.14696413253492[/C][/ROW]
[ROW][C]0.2[/C][C]106.199610795198[/C][C]1.01482285989076[/C][/ROW]
[ROW][C]0.21[/C][C]106.42742245394[/C][C]0.884060963216532[/C][/ROW]
[ROW][C]0.22[/C][C]106.622759237029[/C][C]0.762035833151211[/C][/ROW]
[ROW][C]0.23[/C][C]106.789789495454[/C][C]0.656616799322625[/C][/ROW]
[ROW][C]0.24[/C][C]106.933924402532[/C][C]0.576320796985218[/C][/ROW]
[ROW][C]0.25[/C][C]107.061610657073[/C][C]0.528492978484417[/C][/ROW]
[ROW][C]0.26[/C][C]107.17998734821[/C][C]0.518965741631615[/C][/ROW]
[ROW][C]0.27[/C][C]107.296479068839[/C][C]0.549590686533799[/C][/ROW]
[ROW][C]0.28[/C][C]107.418380467712[/C][C]0.618114860394259[/C][/ROW]
[ROW][C]0.29[/C][C]107.552464095691[/C][C]0.719452510557956[/C][/ROW]
[ROW][C]0.3[/C][C]107.704625497578[/C][C]0.847264777648022[/C][/ROW]
[ROW][C]0.31[/C][C]107.879572333842[/C][C]0.993967724877709[/C][/ROW]
[ROW][C]0.32[/C][C]108.08056687877[/C][C]1.15182103045484[/C][/ROW]
[ROW][C]0.33[/C][C]108.30923842278[/C][C]1.31176753677007[/C][/ROW]
[ROW][C]0.34[/C][C]108.565487675637[/C][C]1.46489040582005[/C][/ROW]
[ROW][C]0.35[/C][C]108.847504503126[/C][C]1.60228749219508[/C][/ROW]
[ROW][C]0.36[/C][C]109.151911554703[/C][C]1.71618928556278[/C][/ROW]
[ROW][C]0.37[/C][C]109.474031111284[/C][C]1.80055114116301[/C][/ROW]
[ROW][C]0.38[/C][C]109.808254661826[/C][C]1.8515300737008[/C][/ROW]
[ROW][C]0.39[/C][C]110.148478930479[/C][C]1.86767605178528[/C][/ROW]
[ROW][C]0.4[/C][C]110.488562172663[/C][C]1.85050862810435[/C][/ROW]
[ROW][C]0.41[/C][C]110.822752564283[/C][C]1.80281570145665[/C][/ROW]
[ROW][C]0.42[/C][C]111.146046313603[/C][C]1.72984875585141[/C][/ROW]
[ROW][C]0.43[/C][C]111.45444486973[/C][C]1.63773617939503[/C][/ROW]
[ROW][C]0.44[/C][C]111.7450954874[/C][C]1.53305136624866[/C][/ROW]
[ROW][C]0.45[/C][C]112.016314587279[/C][C]1.42218292158478[/C][/ROW]
[ROW][C]0.46[/C][C]112.26750658273[/C][C]1.31111524856962[/C][/ROW]
[ROW][C]0.47[/C][C]112.499000769862[/C][C]1.20429554256012[/C][/ROW]
[ROW][C]0.48[/C][C]112.711834950703[/C][C]1.10546211110324[/C][/ROW]
[ROW][C]0.49[/C][C]112.907516678152[/C][C]1.01643940689375[/C][/ROW]
[ROW][C]0.5[/C][C]113.087791650869[/C][C]0.938048244486905[/C][/ROW]
[ROW][C]0.51[/C][C]113.25444425984[/C][C]0.869859516954803[/C][/ROW]
[ROW][C]0.52[/C][C]113.409148168423[/C][C]0.810630338821125[/C][/ROW]
[ROW][C]0.53[/C][C]113.553375934782[/C][C]0.75850591302886[/C][/ROW]
[ROW][C]0.54[/C][C]113.688367240408[/C][C]0.71198686567167[/C][/ROW]
[ROW][C]0.55[/C][C]113.815146719878[/C][C]0.669696392449593[/C][/ROW]
[ROW][C]0.56[/C][C]113.934576158963[/C][C]0.630829620616872[/C][/ROW]
[ROW][C]0.57[/C][C]114.047423042793[/C][C]0.595132809977235[/C][/ROW]
[ROW][C]0.58[/C][C]114.154428466007[/C][C]0.562719739461645[/C][/ROW]
[ROW][C]0.59[/C][C]114.256361705055[/C][C]0.534300537979821[/C][/ROW]
[ROW][C]0.6[/C][C]114.3540548918[/C][C]0.510358378167684[/C][/ROW]
[ROW][C]0.61[/C][C]114.448417341443[/C][C]0.491436229458733[/C][/ROW]
[ROW][C]0.62[/C][C]114.540433418265[/C][C]0.477941596344147[/C][/ROW]
[ROW][C]0.63[/C][C]114.631149327905[/C][C]0.470067160070091[/C][/ROW]
[ROW][C]0.64[/C][C]114.721652968744[/C][C]0.467879122279539[/C][/ROW]
[ROW][C]0.65[/C][C]114.813048136752[/C][C]0.471226723932047[/C][/ROW]
[ROW][C]0.66[/C][C]114.906421831683[/C][C]0.480164800534342[/C][/ROW]
[ROW][C]0.67[/C][C]115.002802988139[/C][C]0.494205913489998[/C][/ROW]
[ROW][C]0.68[/C][C]115.103113627452[/C][C]0.512530753157633[/C][/ROW]
[ROW][C]0.69[/C][C]115.208118737574[/C][C]0.534022684334112[/C][/ROW]
[ROW][C]0.7[/C][C]115.318387163728[/C][C]0.557448987851777[/C][/ROW]
[ROW][C]0.71[/C][C]115.434279462175[/C][C]0.58106662319432[/C][/ROW]
[ROW][C]0.72[/C][C]115.555977097538[/C][C]0.603636958301053[/C][/ROW]
[ROW][C]0.73[/C][C]115.6835589023[/C][C]0.624357654628288[/C][/ROW]
[ROW][C]0.74[/C][C]115.817116084096[/C][C]0.643279636578682[/C][/ROW]
[ROW][C]0.75[/C][C]115.956879870143[/C][C]0.661455768115521[/C][/ROW]
[ROW][C]0.76[/C][C]116.103322318348[/C][C]0.680583605785698[/C][/ROW]
[ROW][C]0.77[/C][C]116.257188480674[/C][C]0.702685537411723[/C][/ROW]
[ROW][C]0.78[/C][C]116.419433859788[/C][C]0.72897039150424[/C][/ROW]
[ROW][C]0.79[/C][C]116.591078336125[/C][C]0.759609956034775[/C][/ROW]
[ROW][C]0.8[/C][C]116.773043011132[/C][C]0.793066308270138[/C][/ROW]
[ROW][C]0.81[/C][C]116.966096050123[/C][C]0.826594759818108[/C][/ROW]
[ROW][C]0.82[/C][C]117.171071437679[/C][C]0.85784462702559[/C][/ROW]
[ROW][C]0.83[/C][C]117.389503131232[/C][C]0.886977124316566[/C][/ROW]
[ROW][C]0.84[/C][C]117.624696540117[/C][C]0.919540537781384[/C][/ROW]
[ROW][C]0.85[/C][C]117.883018267028[/C][C]0.96887578501268[/C][/ROW]
[ROW][C]0.86[/C][C]118.174854964232[/C][C]1.05538091235011[/C][/ROW]
[ROW][C]0.87[/C][C]118.514393686187[/C][C]1.19906379889537[/C][/ROW]
[ROW][C]0.88[/C][C]118.917329351575[/C][C]1.40604942784906[/C][/ROW]
[ROW][C]0.89[/C][C]119.396067186364[/C][C]1.65625739985119[/C][/ROW]
[ROW][C]0.9[/C][C]119.953086532782[/C][C]1.90089631712749[/C][/ROW]
[ROW][C]0.91[/C][C]120.574628544368[/C][C]2.07134912326696[/C][/ROW]
[ROW][C]0.92[/C][C]121.228014693906[/C][C]2.09928880344035[/C][/ROW]
[ROW][C]0.93[/C][C]121.865630912691[/C][C]1.94450295615406[/C][/ROW]
[ROW][C]0.94[/C][C]122.436222259056[/C][C]1.61890340646124[/C][/ROW]
[ROW][C]0.95[/C][C]122.900190334666[/C][C]1.19081006608728[/C][/ROW]
[ROW][C]0.96[/C][C]123.242182482739[/C][C]0.761322032993847[/C][/ROW]
[ROW][C]0.97[/C][C]123.473968329336[/C][C]0.421329410749759[/C][/ROW]
[ROW][C]0.98[/C][C]123.624389320014[/C][C]0.216302659449675[/C][/ROW]
[ROW][C]0.99[/C][C]123.720062013842[/C][C]0.138025982695878[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204862&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204862&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
0.0198.27811320658230.774440429126718
0.0298.65206190584680.59669479766242
0.0399.00937229063740.521580315935886
0.0499.32522739646740.582082479455801
0.0599.63147219401080.758558644657048
0.0699.96785732458791.01591378137813
0.07100.3605872235461.30642567809488
0.08100.8177454792851.57702517527319
0.09101.3313638469211.78396492957688
0.1101.8825683029721.90437180923952
0.11102.4480679944711.93906263764648
0.12103.0060420506341.90585072808765
0.13103.5398629970671.82938604527533
0.14104.0392033646481.73079448937941
0.15104.4991239489361.6234792535977
0.16104.9182261376181.51229251310122
0.17105.296852513541.39676523365543
0.18105.635904820881.27513588641969
0.19105.9364034950631.14696413253492
0.2106.1996107951981.01482285989076
0.21106.427422453940.884060963216532
0.22106.6227592370290.762035833151211
0.23106.7897894954540.656616799322625
0.24106.9339244025320.576320796985218
0.25107.0616106570730.528492978484417
0.26107.179987348210.518965741631615
0.27107.2964790688390.549590686533799
0.28107.4183804677120.618114860394259
0.29107.5524640956910.719452510557956
0.3107.7046254975780.847264777648022
0.31107.8795723338420.993967724877709
0.32108.080566878771.15182103045484
0.33108.309238422781.31176753677007
0.34108.5654876756371.46489040582005
0.35108.8475045031261.60228749219508
0.36109.1519115547031.71618928556278
0.37109.4740311112841.80055114116301
0.38109.8082546618261.8515300737008
0.39110.1484789304791.86767605178528
0.4110.4885621726631.85050862810435
0.41110.8227525642831.80281570145665
0.42111.1460463136031.72984875585141
0.43111.454444869731.63773617939503
0.44111.74509548741.53305136624866
0.45112.0163145872791.42218292158478
0.46112.267506582731.31111524856962
0.47112.4990007698621.20429554256012
0.48112.7118349507031.10546211110324
0.49112.9075166781521.01643940689375
0.5113.0877916508690.938048244486905
0.51113.254444259840.869859516954803
0.52113.4091481684230.810630338821125
0.53113.5533759347820.75850591302886
0.54113.6883672404080.71198686567167
0.55113.8151467198780.669696392449593
0.56113.9345761589630.630829620616872
0.57114.0474230427930.595132809977235
0.58114.1544284660070.562719739461645
0.59114.2563617050550.534300537979821
0.6114.35405489180.510358378167684
0.61114.4484173414430.491436229458733
0.62114.5404334182650.477941596344147
0.63114.6311493279050.470067160070091
0.64114.7216529687440.467879122279539
0.65114.8130481367520.471226723932047
0.66114.9064218316830.480164800534342
0.67115.0028029881390.494205913489998
0.68115.1031136274520.512530753157633
0.69115.2081187375740.534022684334112
0.7115.3183871637280.557448987851777
0.71115.4342794621750.58106662319432
0.72115.5559770975380.603636958301053
0.73115.68355890230.624357654628288
0.74115.8171160840960.643279636578682
0.75115.9568798701430.661455768115521
0.76116.1033223183480.680583605785698
0.77116.2571884806740.702685537411723
0.78116.4194338597880.72897039150424
0.79116.5910783361250.759609956034775
0.8116.7730430111320.793066308270138
0.81116.9660960501230.826594759818108
0.82117.1710714376790.85784462702559
0.83117.3895031312320.886977124316566
0.84117.6246965401170.919540537781384
0.85117.8830182670280.96887578501268
0.86118.1748549642321.05538091235011
0.87118.5143936861871.19906379889537
0.88118.9173293515751.40604942784906
0.89119.3960671863641.65625739985119
0.9119.9530865327821.90089631712749
0.91120.5746285443682.07134912326696
0.92121.2280146939062.09928880344035
0.93121.8656309126911.94450295615406
0.94122.4362222590561.61890340646124
0.95122.9001903346661.19081006608728
0.96123.2421824827390.761322032993847
0.97123.4739683293360.421329410749759
0.98123.6243893200140.216302659449675
0.99123.7200620138420.138025982695878


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 <- '0.1'
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')