FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 04 Oct 2013 15:30:23 -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/2013/Oct/04/t1380915053ikvp95d0q3jc1pn.htm/, Retrieved Mon, 29 Apr 2024 07:19:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213242, Retrieved Mon, 29 Apr 2024 07:19:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

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] [] [2013-10-04 19:30:23] [2ad58ca14453c04e73fc838d0bf536d8] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
126.81
125.8
123.07
119.52
118.03
117.27
117.27
116.69
115.38
114.31
113.33
111.79
111.79
110.92
109.37
107.04
104.72
104.14
104.14
102.95
102.13
101.01
100.07
99.4
99.4
99.34
97.72
96.26
95.77
95.04
95.04
94.55
94
93.14
91.21
90.3
90.3
89.74
89.07
89.06
88.97
88.78
88.78
88.23
87.91
87.79
87.89
88
88
87.08
85.75
84.29
84.39
83.72
83.72
81.76
81.53
80.55
79.83
78.98
78.98
78.27
77.41
76.75
76.38
74.96
74.96
74.46
74.04
73.22
72.97
72.91
72.91
73.27
72.93
72.67
71.94
71.9
71.89
71.72
70.85
69.82
69.61
69.48

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213242&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]3 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=213242&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213242&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0169.5867214652120.265572936252602
0.0269.82806865039820.546748293726112
0.0370.1859154386740.7915297030477
0.0470.60646310520530.889307870301065
0.0571.02610689385720.847807449415947
0.0671.40006873027290.740829068689212
0.0771.71331497655350.640591113763277
0.0871.97294364612070.580192820677486
0.0972.19451238396460.55489385619071
0.172.39246328873950.547484642867302
0.1172.57719603871360.550786952993464
0.1272.75639594642490.570491582382973
0.1372.93730293392260.618722772841898
0.1473.12792159585960.70319256266184
0.1573.33679594957510.823700957447973
0.1673.57193192704210.973445700027205
0.1773.83964056783361.14234779285067
0.1874.1438098993491.32027612404139
0.1974.48574812751911.49800416139436
0.274.86448646152261.66841603987011
0.2175.27733773613321.82596438568828
0.2275.72053053796541.96771745166666
0.2376.18980549792712.09221567137026
0.2476.68091809712342.20034270473327
0.2577.19002175154372.29423369845495
0.2677.71391317746392.37707777958288
0.2778.25012604102052.45232715469736
0.2878.79687119736052.52250045031172
0.2979.35284393059392.58901485777591
0.379.91694259364992.65127299240182
0.3180.48795816892562.70735927643634
0.3281.0642938594392.75366350098254
0.3381.64375880837182.7865729457541
0.3482.22345786028612.8017678357401
0.3582.79977942242592.79586562972986
0.3683.36847254337822.76596426218783
0.3783.92480303311442.70965257992026
0.3884.46378209186872.62639216304579
0.3984.98046254959332.51631875144841
0.485.47029239829942.38189738936709
0.4185.92950255567662.22739594106119
0.4286.35549044548392.05929826244667
0.4386.74715029781821.88605815803056
0.4487.10510118536091.7173595103356
0.4587.43177658260871.56290845200961
0.4687.73136127191621.43296148255558
0.4788.00958559688471.33588446959265
0.4888.27340572877931.27872521037569
0.4988.5306069171681.26547002087253
0.588.78936452043111.29737957381911
0.5189.05778928313411.37236983228019
0.5289.34347537034851.48561624671173
0.5389.65306763860831.62995786025706
0.5489.99187040914391.79633440225339
0.5590.36353074985041.97486455894054
0.5690.76983834830932.15475462099187
0.5791.21068382904172.32578218102618
0.5891.68420264864612.47898759112719
0.5992.18710262435882.60811898383703
0.692.71513617020812.70949012755557
0.6193.26364468174532.78340743603053
0.6293.82808445113982.83242538366124
0.6394.40444933476862.86140690407676
0.6494.98953556629142.87567056687871
0.6595.58103994453832.8803114977775
0.6696.17752894433792.87917925980248
0.6796.77834712030862.87506778113072
0.6897.38353829354532.87004117823507
0.6997.99383231476572.86649687683904
0.798.6107133349242.86747461214107
0.7199.2365467575432.87717264485714
0.7299.87471293568892.90049104830583
0.73100.5296798249892.94227174740163
0.74101.2069405729873.0067557276012
0.75101.9127413587823.09682134155457
0.76102.6535338490563.21222917029133
0.77103.4351207621893.34876376695279
0.78104.2615402476343.49684578764815
0.79105.1338567629113.64092142849677
0.8106.0491593323033.76071717328813
0.81107.0001416179373.83517703521332
0.82107.9755708159583.84731654377973
0.83108.9617044401413.78924840054386
0.84109.9443399624963.66493844788702
0.85110.9108449714073.48891550027122
0.86111.8514354151523.28095378707313
0.87112.7593129880923.05827792525791
0.88113.6300249033122.82958802201624
0.89114.4612971586992.59610818886409
0.9115.2551101475242.36042855712535
0.91116.0233332734522.14190316068193
0.92116.7963457706641.99115778238237
0.93117.6307069697261.98956926386308
0.94118.6079286077552.20509116884277
0.95119.8141416314162.60669606468713
0.96121.2945406219133.0161177633218
0.97122.9918645366183.1347177254734
0.98124.7013593171422.67954236210421
0.99126.0872152317381.71364425409356

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 69.586721465212 & 0.265572936252602 \tabularnewline
0.02 & 69.8280686503982 & 0.546748293726112 \tabularnewline
0.03 & 70.185915438674 & 0.7915297030477 \tabularnewline
0.04 & 70.6064631052053 & 0.889307870301065 \tabularnewline
0.05 & 71.0261068938572 & 0.847807449415947 \tabularnewline
0.06 & 71.4000687302729 & 0.740829068689212 \tabularnewline
0.07 & 71.7133149765535 & 0.640591113763277 \tabularnewline
0.08 & 71.9729436461207 & 0.580192820677486 \tabularnewline
0.09 & 72.1945123839646 & 0.55489385619071 \tabularnewline
0.1 & 72.3924632887395 & 0.547484642867302 \tabularnewline
0.11 & 72.5771960387136 & 0.550786952993464 \tabularnewline
0.12 & 72.7563959464249 & 0.570491582382973 \tabularnewline
0.13 & 72.9373029339226 & 0.618722772841898 \tabularnewline
0.14 & 73.1279215958596 & 0.70319256266184 \tabularnewline
0.15 & 73.3367959495751 & 0.823700957447973 \tabularnewline
0.16 & 73.5719319270421 & 0.973445700027205 \tabularnewline
0.17 & 73.8396405678336 & 1.14234779285067 \tabularnewline
0.18 & 74.143809899349 & 1.32027612404139 \tabularnewline
0.19 & 74.4857481275191 & 1.49800416139436 \tabularnewline
0.2 & 74.8644864615226 & 1.66841603987011 \tabularnewline
0.21 & 75.2773377361332 & 1.82596438568828 \tabularnewline
0.22 & 75.7205305379654 & 1.96771745166666 \tabularnewline
0.23 & 76.1898054979271 & 2.09221567137026 \tabularnewline
0.24 & 76.6809180971234 & 2.20034270473327 \tabularnewline
0.25 & 77.1900217515437 & 2.29423369845495 \tabularnewline
0.26 & 77.7139131774639 & 2.37707777958288 \tabularnewline
0.27 & 78.2501260410205 & 2.45232715469736 \tabularnewline
0.28 & 78.7968711973605 & 2.52250045031172 \tabularnewline
0.29 & 79.3528439305939 & 2.58901485777591 \tabularnewline
0.3 & 79.9169425936499 & 2.65127299240182 \tabularnewline
0.31 & 80.4879581689256 & 2.70735927643634 \tabularnewline
0.32 & 81.064293859439 & 2.75366350098254 \tabularnewline
0.33 & 81.6437588083718 & 2.7865729457541 \tabularnewline
0.34 & 82.2234578602861 & 2.8017678357401 \tabularnewline
0.35 & 82.7997794224259 & 2.79586562972986 \tabularnewline
0.36 & 83.3684725433782 & 2.76596426218783 \tabularnewline
0.37 & 83.9248030331144 & 2.70965257992026 \tabularnewline
0.38 & 84.4637820918687 & 2.62639216304579 \tabularnewline
0.39 & 84.9804625495933 & 2.51631875144841 \tabularnewline
0.4 & 85.4702923982994 & 2.38189738936709 \tabularnewline
0.41 & 85.9295025556766 & 2.22739594106119 \tabularnewline
0.42 & 86.3554904454839 & 2.05929826244667 \tabularnewline
0.43 & 86.7471502978182 & 1.88605815803056 \tabularnewline
0.44 & 87.1051011853609 & 1.7173595103356 \tabularnewline
0.45 & 87.4317765826087 & 1.56290845200961 \tabularnewline
0.46 & 87.7313612719162 & 1.43296148255558 \tabularnewline
0.47 & 88.0095855968847 & 1.33588446959265 \tabularnewline
0.48 & 88.2734057287793 & 1.27872521037569 \tabularnewline
0.49 & 88.530606917168 & 1.26547002087253 \tabularnewline
0.5 & 88.7893645204311 & 1.29737957381911 \tabularnewline
0.51 & 89.0577892831341 & 1.37236983228019 \tabularnewline
0.52 & 89.3434753703485 & 1.48561624671173 \tabularnewline
0.53 & 89.6530676386083 & 1.62995786025706 \tabularnewline
0.54 & 89.9918704091439 & 1.79633440225339 \tabularnewline
0.55 & 90.3635307498504 & 1.97486455894054 \tabularnewline
0.56 & 90.7698383483093 & 2.15475462099187 \tabularnewline
0.57 & 91.2106838290417 & 2.32578218102618 \tabularnewline
0.58 & 91.6842026486461 & 2.47898759112719 \tabularnewline
0.59 & 92.1871026243588 & 2.60811898383703 \tabularnewline
0.6 & 92.7151361702081 & 2.70949012755557 \tabularnewline
0.61 & 93.2636446817453 & 2.78340743603053 \tabularnewline
0.62 & 93.8280844511398 & 2.83242538366124 \tabularnewline
0.63 & 94.4044493347686 & 2.86140690407676 \tabularnewline
0.64 & 94.9895355662914 & 2.87567056687871 \tabularnewline
0.65 & 95.5810399445383 & 2.8803114977775 \tabularnewline
0.66 & 96.1775289443379 & 2.87917925980248 \tabularnewline
0.67 & 96.7783471203086 & 2.87506778113072 \tabularnewline
0.68 & 97.3835382935453 & 2.87004117823507 \tabularnewline
0.69 & 97.9938323147657 & 2.86649687683904 \tabularnewline
0.7 & 98.610713334924 & 2.86747461214107 \tabularnewline
0.71 & 99.236546757543 & 2.87717264485714 \tabularnewline
0.72 & 99.8747129356889 & 2.90049104830583 \tabularnewline
0.73 & 100.529679824989 & 2.94227174740163 \tabularnewline
0.74 & 101.206940572987 & 3.0067557276012 \tabularnewline
0.75 & 101.912741358782 & 3.09682134155457 \tabularnewline
0.76 & 102.653533849056 & 3.21222917029133 \tabularnewline
0.77 & 103.435120762189 & 3.34876376695279 \tabularnewline
0.78 & 104.261540247634 & 3.49684578764815 \tabularnewline
0.79 & 105.133856762911 & 3.64092142849677 \tabularnewline
0.8 & 106.049159332303 & 3.76071717328813 \tabularnewline
0.81 & 107.000141617937 & 3.83517703521332 \tabularnewline
0.82 & 107.975570815958 & 3.84731654377973 \tabularnewline
0.83 & 108.961704440141 & 3.78924840054386 \tabularnewline
0.84 & 109.944339962496 & 3.66493844788702 \tabularnewline
0.85 & 110.910844971407 & 3.48891550027122 \tabularnewline
0.86 & 111.851435415152 & 3.28095378707313 \tabularnewline
0.87 & 112.759312988092 & 3.05827792525791 \tabularnewline
0.88 & 113.630024903312 & 2.82958802201624 \tabularnewline
0.89 & 114.461297158699 & 2.59610818886409 \tabularnewline
0.9 & 115.255110147524 & 2.36042855712535 \tabularnewline
0.91 & 116.023333273452 & 2.14190316068193 \tabularnewline
0.92 & 116.796345770664 & 1.99115778238237 \tabularnewline
0.93 & 117.630706969726 & 1.98956926386308 \tabularnewline
0.94 & 118.607928607755 & 2.20509116884277 \tabularnewline
0.95 & 119.814141631416 & 2.60669606468713 \tabularnewline
0.96 & 121.294540621913 & 3.0161177633218 \tabularnewline
0.97 & 122.991864536618 & 3.1347177254734 \tabularnewline
0.98 & 124.701359317142 & 2.67954236210421 \tabularnewline
0.99 & 126.087215231738 & 1.71364425409356 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213242&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]69.586721465212[/C][C]0.265572936252602[/C][/ROW]
[ROW][C]0.02[/C][C]69.8280686503982[/C][C]0.546748293726112[/C][/ROW]
[ROW][C]0.03[/C][C]70.185915438674[/C][C]0.7915297030477[/C][/ROW]
[ROW][C]0.04[/C][C]70.6064631052053[/C][C]0.889307870301065[/C][/ROW]
[ROW][C]0.05[/C][C]71.0261068938572[/C][C]0.847807449415947[/C][/ROW]
[ROW][C]0.06[/C][C]71.4000687302729[/C][C]0.740829068689212[/C][/ROW]
[ROW][C]0.07[/C][C]71.7133149765535[/C][C]0.640591113763277[/C][/ROW]
[ROW][C]0.08[/C][C]71.9729436461207[/C][C]0.580192820677486[/C][/ROW]
[ROW][C]0.09[/C][C]72.1945123839646[/C][C]0.55489385619071[/C][/ROW]
[ROW][C]0.1[/C][C]72.3924632887395[/C][C]0.547484642867302[/C][/ROW]
[ROW][C]0.11[/C][C]72.5771960387136[/C][C]0.550786952993464[/C][/ROW]
[ROW][C]0.12[/C][C]72.7563959464249[/C][C]0.570491582382973[/C][/ROW]
[ROW][C]0.13[/C][C]72.9373029339226[/C][C]0.618722772841898[/C][/ROW]
[ROW][C]0.14[/C][C]73.1279215958596[/C][C]0.70319256266184[/C][/ROW]
[ROW][C]0.15[/C][C]73.3367959495751[/C][C]0.823700957447973[/C][/ROW]
[ROW][C]0.16[/C][C]73.5719319270421[/C][C]0.973445700027205[/C][/ROW]
[ROW][C]0.17[/C][C]73.8396405678336[/C][C]1.14234779285067[/C][/ROW]
[ROW][C]0.18[/C][C]74.143809899349[/C][C]1.32027612404139[/C][/ROW]
[ROW][C]0.19[/C][C]74.4857481275191[/C][C]1.49800416139436[/C][/ROW]
[ROW][C]0.2[/C][C]74.8644864615226[/C][C]1.66841603987011[/C][/ROW]
[ROW][C]0.21[/C][C]75.2773377361332[/C][C]1.82596438568828[/C][/ROW]
[ROW][C]0.22[/C][C]75.7205305379654[/C][C]1.96771745166666[/C][/ROW]
[ROW][C]0.23[/C][C]76.1898054979271[/C][C]2.09221567137026[/C][/ROW]
[ROW][C]0.24[/C][C]76.6809180971234[/C][C]2.20034270473327[/C][/ROW]
[ROW][C]0.25[/C][C]77.1900217515437[/C][C]2.29423369845495[/C][/ROW]
[ROW][C]0.26[/C][C]77.7139131774639[/C][C]2.37707777958288[/C][/ROW]
[ROW][C]0.27[/C][C]78.2501260410205[/C][C]2.45232715469736[/C][/ROW]
[ROW][C]0.28[/C][C]78.7968711973605[/C][C]2.52250045031172[/C][/ROW]
[ROW][C]0.29[/C][C]79.3528439305939[/C][C]2.58901485777591[/C][/ROW]
[ROW][C]0.3[/C][C]79.9169425936499[/C][C]2.65127299240182[/C][/ROW]
[ROW][C]0.31[/C][C]80.4879581689256[/C][C]2.70735927643634[/C][/ROW]
[ROW][C]0.32[/C][C]81.064293859439[/C][C]2.75366350098254[/C][/ROW]
[ROW][C]0.33[/C][C]81.6437588083718[/C][C]2.7865729457541[/C][/ROW]
[ROW][C]0.34[/C][C]82.2234578602861[/C][C]2.8017678357401[/C][/ROW]
[ROW][C]0.35[/C][C]82.7997794224259[/C][C]2.79586562972986[/C][/ROW]
[ROW][C]0.36[/C][C]83.3684725433782[/C][C]2.76596426218783[/C][/ROW]
[ROW][C]0.37[/C][C]83.9248030331144[/C][C]2.70965257992026[/C][/ROW]
[ROW][C]0.38[/C][C]84.4637820918687[/C][C]2.62639216304579[/C][/ROW]
[ROW][C]0.39[/C][C]84.9804625495933[/C][C]2.51631875144841[/C][/ROW]
[ROW][C]0.4[/C][C]85.4702923982994[/C][C]2.38189738936709[/C][/ROW]
[ROW][C]0.41[/C][C]85.9295025556766[/C][C]2.22739594106119[/C][/ROW]
[ROW][C]0.42[/C][C]86.3554904454839[/C][C]2.05929826244667[/C][/ROW]
[ROW][C]0.43[/C][C]86.7471502978182[/C][C]1.88605815803056[/C][/ROW]
[ROW][C]0.44[/C][C]87.1051011853609[/C][C]1.7173595103356[/C][/ROW]
[ROW][C]0.45[/C][C]87.4317765826087[/C][C]1.56290845200961[/C][/ROW]
[ROW][C]0.46[/C][C]87.7313612719162[/C][C]1.43296148255558[/C][/ROW]
[ROW][C]0.47[/C][C]88.0095855968847[/C][C]1.33588446959265[/C][/ROW]
[ROW][C]0.48[/C][C]88.2734057287793[/C][C]1.27872521037569[/C][/ROW]
[ROW][C]0.49[/C][C]88.530606917168[/C][C]1.26547002087253[/C][/ROW]
[ROW][C]0.5[/C][C]88.7893645204311[/C][C]1.29737957381911[/C][/ROW]
[ROW][C]0.51[/C][C]89.0577892831341[/C][C]1.37236983228019[/C][/ROW]
[ROW][C]0.52[/C][C]89.3434753703485[/C][C]1.48561624671173[/C][/ROW]
[ROW][C]0.53[/C][C]89.6530676386083[/C][C]1.62995786025706[/C][/ROW]
[ROW][C]0.54[/C][C]89.9918704091439[/C][C]1.79633440225339[/C][/ROW]
[ROW][C]0.55[/C][C]90.3635307498504[/C][C]1.97486455894054[/C][/ROW]
[ROW][C]0.56[/C][C]90.7698383483093[/C][C]2.15475462099187[/C][/ROW]
[ROW][C]0.57[/C][C]91.2106838290417[/C][C]2.32578218102618[/C][/ROW]
[ROW][C]0.58[/C][C]91.6842026486461[/C][C]2.47898759112719[/C][/ROW]
[ROW][C]0.59[/C][C]92.1871026243588[/C][C]2.60811898383703[/C][/ROW]
[ROW][C]0.6[/C][C]92.7151361702081[/C][C]2.70949012755557[/C][/ROW]
[ROW][C]0.61[/C][C]93.2636446817453[/C][C]2.78340743603053[/C][/ROW]
[ROW][C]0.62[/C][C]93.8280844511398[/C][C]2.83242538366124[/C][/ROW]
[ROW][C]0.63[/C][C]94.4044493347686[/C][C]2.86140690407676[/C][/ROW]
[ROW][C]0.64[/C][C]94.9895355662914[/C][C]2.87567056687871[/C][/ROW]
[ROW][C]0.65[/C][C]95.5810399445383[/C][C]2.8803114977775[/C][/ROW]
[ROW][C]0.66[/C][C]96.1775289443379[/C][C]2.87917925980248[/C][/ROW]
[ROW][C]0.67[/C][C]96.7783471203086[/C][C]2.87506778113072[/C][/ROW]
[ROW][C]0.68[/C][C]97.3835382935453[/C][C]2.87004117823507[/C][/ROW]
[ROW][C]0.69[/C][C]97.9938323147657[/C][C]2.86649687683904[/C][/ROW]
[ROW][C]0.7[/C][C]98.610713334924[/C][C]2.86747461214107[/C][/ROW]
[ROW][C]0.71[/C][C]99.236546757543[/C][C]2.87717264485714[/C][/ROW]
[ROW][C]0.72[/C][C]99.8747129356889[/C][C]2.90049104830583[/C][/ROW]
[ROW][C]0.73[/C][C]100.529679824989[/C][C]2.94227174740163[/C][/ROW]
[ROW][C]0.74[/C][C]101.206940572987[/C][C]3.0067557276012[/C][/ROW]
[ROW][C]0.75[/C][C]101.912741358782[/C][C]3.09682134155457[/C][/ROW]
[ROW][C]0.76[/C][C]102.653533849056[/C][C]3.21222917029133[/C][/ROW]
[ROW][C]0.77[/C][C]103.435120762189[/C][C]3.34876376695279[/C][/ROW]
[ROW][C]0.78[/C][C]104.261540247634[/C][C]3.49684578764815[/C][/ROW]
[ROW][C]0.79[/C][C]105.133856762911[/C][C]3.64092142849677[/C][/ROW]
[ROW][C]0.8[/C][C]106.049159332303[/C][C]3.76071717328813[/C][/ROW]
[ROW][C]0.81[/C][C]107.000141617937[/C][C]3.83517703521332[/C][/ROW]
[ROW][C]0.82[/C][C]107.975570815958[/C][C]3.84731654377973[/C][/ROW]
[ROW][C]0.83[/C][C]108.961704440141[/C][C]3.78924840054386[/C][/ROW]
[ROW][C]0.84[/C][C]109.944339962496[/C][C]3.66493844788702[/C][/ROW]
[ROW][C]0.85[/C][C]110.910844971407[/C][C]3.48891550027122[/C][/ROW]
[ROW][C]0.86[/C][C]111.851435415152[/C][C]3.28095378707313[/C][/ROW]
[ROW][C]0.87[/C][C]112.759312988092[/C][C]3.05827792525791[/C][/ROW]
[ROW][C]0.88[/C][C]113.630024903312[/C][C]2.82958802201624[/C][/ROW]
[ROW][C]0.89[/C][C]114.461297158699[/C][C]2.59610818886409[/C][/ROW]
[ROW][C]0.9[/C][C]115.255110147524[/C][C]2.36042855712535[/C][/ROW]
[ROW][C]0.91[/C][C]116.023333273452[/C][C]2.14190316068193[/C][/ROW]
[ROW][C]0.92[/C][C]116.796345770664[/C][C]1.99115778238237[/C][/ROW]
[ROW][C]0.93[/C][C]117.630706969726[/C][C]1.98956926386308[/C][/ROW]
[ROW][C]0.94[/C][C]118.607928607755[/C][C]2.20509116884277[/C][/ROW]
[ROW][C]0.95[/C][C]119.814141631416[/C][C]2.60669606468713[/C][/ROW]
[ROW][C]0.96[/C][C]121.294540621913[/C][C]3.0161177633218[/C][/ROW]
[ROW][C]0.97[/C][C]122.991864536618[/C][C]3.1347177254734[/C][/ROW]
[ROW][C]0.98[/C][C]124.701359317142[/C][C]2.67954236210421[/C][/ROW]
[ROW][C]0.99[/C][C]126.087215231738[/C][C]1.71364425409356[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213242&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213242&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
0.0169.5867214652120.265572936252602
0.0269.82806865039820.546748293726112
0.0370.1859154386740.7915297030477
0.0470.60646310520530.889307870301065
0.0571.02610689385720.847807449415947
0.0671.40006873027290.740829068689212
0.0771.71331497655350.640591113763277
0.0871.97294364612070.580192820677486
0.0972.19451238396460.55489385619071
0.172.39246328873950.547484642867302
0.1172.57719603871360.550786952993464
0.1272.75639594642490.570491582382973
0.1372.93730293392260.618722772841898
0.1473.12792159585960.70319256266184
0.1573.33679594957510.823700957447973
0.1673.57193192704210.973445700027205
0.1773.83964056783361.14234779285067
0.1874.1438098993491.32027612404139
0.1974.48574812751911.49800416139436
0.274.86448646152261.66841603987011
0.2175.27733773613321.82596438568828
0.2275.72053053796541.96771745166666
0.2376.18980549792712.09221567137026
0.2476.68091809712342.20034270473327
0.2577.19002175154372.29423369845495
0.2677.71391317746392.37707777958288
0.2778.25012604102052.45232715469736
0.2878.79687119736052.52250045031172
0.2979.35284393059392.58901485777591
0.379.91694259364992.65127299240182
0.3180.48795816892562.70735927643634
0.3281.0642938594392.75366350098254
0.3381.64375880837182.7865729457541
0.3482.22345786028612.8017678357401
0.3582.79977942242592.79586562972986
0.3683.36847254337822.76596426218783
0.3783.92480303311442.70965257992026
0.3884.46378209186872.62639216304579
0.3984.98046254959332.51631875144841
0.485.47029239829942.38189738936709
0.4185.92950255567662.22739594106119
0.4286.35549044548392.05929826244667
0.4386.74715029781821.88605815803056
0.4487.10510118536091.7173595103356
0.4587.43177658260871.56290845200961
0.4687.73136127191621.43296148255558
0.4788.00958559688471.33588446959265
0.4888.27340572877931.27872521037569
0.4988.5306069171681.26547002087253
0.588.78936452043111.29737957381911
0.5189.05778928313411.37236983228019
0.5289.34347537034851.48561624671173
0.5389.65306763860831.62995786025706
0.5489.99187040914391.79633440225339
0.5590.36353074985041.97486455894054
0.5690.76983834830932.15475462099187
0.5791.21068382904172.32578218102618
0.5891.68420264864612.47898759112719
0.5992.18710262435882.60811898383703
0.692.71513617020812.70949012755557
0.6193.26364468174532.78340743603053
0.6293.82808445113982.83242538366124
0.6394.40444933476862.86140690407676
0.6494.98953556629142.87567056687871
0.6595.58103994453832.8803114977775
0.6696.17752894433792.87917925980248
0.6796.77834712030862.87506778113072
0.6897.38353829354532.87004117823507
0.6997.99383231476572.86649687683904
0.798.6107133349242.86747461214107
0.7199.2365467575432.87717264485714
0.7299.87471293568892.90049104830583
0.73100.5296798249892.94227174740163
0.74101.2069405729873.0067557276012
0.75101.9127413587823.09682134155457
0.76102.6535338490563.21222917029133
0.77103.4351207621893.34876376695279
0.78104.2615402476343.49684578764815
0.79105.1338567629113.64092142849677
0.8106.0491593323033.76071717328813
0.81107.0001416179373.83517703521332
0.82107.9755708159583.84731654377973
0.83108.9617044401413.78924840054386
0.84109.9443399624963.66493844788702
0.85110.9108449714073.48891550027122
0.86111.8514354151523.28095378707313
0.87112.7593129880923.05827792525791
0.88113.6300249033122.82958802201624
0.89114.4612971586992.59610818886409
0.9115.2551101475242.36042855712535
0.91116.0233332734522.14190316068193
0.92116.7963457706641.99115778238237
0.93117.6307069697261.98956926386308
0.94118.6079286077552.20509116884277
0.95119.8141416314162.60669606468713
0.96121.2945406219133.0161177633218
0.97122.9918645366183.1347177254734
0.98124.7013593171422.67954236210421
0.99126.0872152317381.71364425409356


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')