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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 computationWed, 22 Feb 2012 16:06:34 -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/Feb/22/t13299448391bjro5i3sh8harc.htm/, Retrieved Mon, 06 May 2024 21:52:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163214, Retrieved Mon, 06 May 2024 21:52:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact92

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] [Harrell-Davis Eig...] [2012-02-22 21:06:34] [919141dca056cde38faaf6352f12d0de] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
115.43
115.55
117.14
119.09
119.55
119.8
121.32
121.48
119.63
118.61
118.82
119.93
118.7
119.99
116.67
116.84
115.17
114.21
114.77
115.59
116.64
118.79
125.63
127.42
131.17
137.68
144.41
146.09
151.26
156.56
158.38
154.21
158.06
154.83
150.89
149.22
148.34
143.88
134.48
133.73
130.08
123.11
122.08
126.83
123.17
123.82
125.6
126.32
129.15
130.09
133.81
136.83
138.34
138.67
137.86
138.56
141.65
142.42
143.12
146.17
147.8
151.87
157.12
158.97
161.4
165.81
165.1
164.64
167.88
167.14
169.83
169.71

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=163214&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=163214&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163214&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
0.01114.3895817292960.506556428191149
0.02114.6571231122870.460159338310074
0.03114.929733546450.435392686122693
0.04115.1756386490350.440599004340939
0.05115.3995665889810.484681850864945
0.06115.6172169126090.563433278720456
0.07115.8419869713890.659954044255529
0.08116.0812209794860.757140139869723
0.09116.3366685253650.845049154816711
0.1116.6062685920290.919443922995435
0.11116.8858817063780.97819938848917
0.12117.170438395751.01812334683789
0.13117.4545750957021.03572667794597
0.14117.7330962195341.02975225489078
0.15118.001514244311.00269962426398
0.16118.2566731044750.962315880842394
0.17118.4972795153690.918747007909587
0.18118.724151550220.883436063224204
0.19118.9401041480420.866074756978716
0.2119.1495271732230.873455002882309
0.21119.3577945564890.908870821441513
0.22119.5706508628950.972064375658387
0.23119.7936779031451.06076306009409
0.24120.0318871853761.17098771812295
0.25120.2894421427081.29808168749489
0.26120.5694956911321.43701449323239
0.27120.8741273613871.58231693697413
0.28121.2043686121411.72909316650435
0.29121.5603066083321.8732804923858
0.3121.9412533824582.01170925277496
0.31122.3459611787492.14232079128448
0.32122.77285967452.26435737027281
0.33123.2202892688332.37817691659077
0.34123.6867071390672.48484618029743
0.35124.1708480258512.58627703173291
0.36124.6718279573642.68477409625282
0.37125.1891850893062.78269201199727
0.38125.7228571030082.88206901754343
0.39126.273099369822.98443158226327
0.4126.8403526851743.09041093628415
0.41127.4250738681733.19923926627874
0.42128.0275466159273.30922805570491
0.43128.6476931780763.41771281290333
0.44129.2849091514183.52097552468859
0.45129.9379435787583.61414446328704
0.46130.6048442605533.69353318564914
0.47131.2829834665393.75455664769073
0.48131.9691718133563.79438043368331
0.49132.6598579211813.81099110833728
0.5133.3513991076013.80448109235988
0.51134.0403752419143.77644906877565
0.52134.7239063677023.73104394290938
0.53135.3999278506923.67400980511305
0.54136.0673775310413.61204894206631
0.55136.7262593816983.55212636888138
0.56137.3775670937013.50071550143849
0.57138.023075844623.46192511548988
0.58138.665036062913.43815479454861
0.59139.3058230780743.42828219112081
0.6139.9476057050493.42917913370535
0.61140.592092141073.43641223929161
0.62141.2403938008463.44566216579333
0.63141.8930212917793.45225646305147
0.64142.5499984971133.45389778004595
0.65143.2110579203243.44996170506298
0.66143.8758683915793.44090121462975
0.67144.5442467768713.42867095310224
0.68145.2163163685193.41539402334392
0.69145.8925911119083.40361576041659
0.7146.5739807014433.39548243853875
0.71147.2617221689253.3921940201407
0.72147.9572473854143.39427995329312
0.73148.6619952657653.40155814879575
0.74149.3771778237463.41223272675177
0.75150.1035168345293.42366949868001
0.76150.8409866946273.43192766032777
0.77151.5886276285823.4315581817857
0.78152.3445225408313.41694369780384
0.79153.1060438006883.38335919490496
0.8153.8704519997623.32871735623181
0.81154.6358490720783.25597353211934
0.82155.4023489201183.17407336266733
0.83156.1731525104963.09856169719744
0.84156.9550604693553.04862264499674
0.85157.7579174898443.04181980765929
0.86158.5926597787583.08444168860746
0.87159.4680813170913.16420892590813
0.88160.3870777775483.24804784973357
0.89161.3437311584813.2902256587548
0.9162.3227994579473.24774714957341
0.91163.3026502847493.09698859084163
0.92164.2613721334732.84567352595726
0.93165.1840422419482.53373614204903
0.94166.0674950584762.21969698659668
0.95166.9180667526631.95452681680997
0.96167.7388505440631.74492950799361
0.97168.5084764704861.51857105140722
0.98169.1653115302891.14552660410471
0.99169.6226597979570.588700136228176

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 114.389581729296 & 0.506556428191149 \tabularnewline
0.02 & 114.657123112287 & 0.460159338310074 \tabularnewline
0.03 & 114.92973354645 & 0.435392686122693 \tabularnewline
0.04 & 115.175638649035 & 0.440599004340939 \tabularnewline
0.05 & 115.399566588981 & 0.484681850864945 \tabularnewline
0.06 & 115.617216912609 & 0.563433278720456 \tabularnewline
0.07 & 115.841986971389 & 0.659954044255529 \tabularnewline
0.08 & 116.081220979486 & 0.757140139869723 \tabularnewline
0.09 & 116.336668525365 & 0.845049154816711 \tabularnewline
0.1 & 116.606268592029 & 0.919443922995435 \tabularnewline
0.11 & 116.885881706378 & 0.97819938848917 \tabularnewline
0.12 & 117.17043839575 & 1.01812334683789 \tabularnewline
0.13 & 117.454575095702 & 1.03572667794597 \tabularnewline
0.14 & 117.733096219534 & 1.02975225489078 \tabularnewline
0.15 & 118.00151424431 & 1.00269962426398 \tabularnewline
0.16 & 118.256673104475 & 0.962315880842394 \tabularnewline
0.17 & 118.497279515369 & 0.918747007909587 \tabularnewline
0.18 & 118.72415155022 & 0.883436063224204 \tabularnewline
0.19 & 118.940104148042 & 0.866074756978716 \tabularnewline
0.2 & 119.149527173223 & 0.873455002882309 \tabularnewline
0.21 & 119.357794556489 & 0.908870821441513 \tabularnewline
0.22 & 119.570650862895 & 0.972064375658387 \tabularnewline
0.23 & 119.793677903145 & 1.06076306009409 \tabularnewline
0.24 & 120.031887185376 & 1.17098771812295 \tabularnewline
0.25 & 120.289442142708 & 1.29808168749489 \tabularnewline
0.26 & 120.569495691132 & 1.43701449323239 \tabularnewline
0.27 & 120.874127361387 & 1.58231693697413 \tabularnewline
0.28 & 121.204368612141 & 1.72909316650435 \tabularnewline
0.29 & 121.560306608332 & 1.8732804923858 \tabularnewline
0.3 & 121.941253382458 & 2.01170925277496 \tabularnewline
0.31 & 122.345961178749 & 2.14232079128448 \tabularnewline
0.32 & 122.7728596745 & 2.26435737027281 \tabularnewline
0.33 & 123.220289268833 & 2.37817691659077 \tabularnewline
0.34 & 123.686707139067 & 2.48484618029743 \tabularnewline
0.35 & 124.170848025851 & 2.58627703173291 \tabularnewline
0.36 & 124.671827957364 & 2.68477409625282 \tabularnewline
0.37 & 125.189185089306 & 2.78269201199727 \tabularnewline
0.38 & 125.722857103008 & 2.88206901754343 \tabularnewline
0.39 & 126.27309936982 & 2.98443158226327 \tabularnewline
0.4 & 126.840352685174 & 3.09041093628415 \tabularnewline
0.41 & 127.425073868173 & 3.19923926627874 \tabularnewline
0.42 & 128.027546615927 & 3.30922805570491 \tabularnewline
0.43 & 128.647693178076 & 3.41771281290333 \tabularnewline
0.44 & 129.284909151418 & 3.52097552468859 \tabularnewline
0.45 & 129.937943578758 & 3.61414446328704 \tabularnewline
0.46 & 130.604844260553 & 3.69353318564914 \tabularnewline
0.47 & 131.282983466539 & 3.75455664769073 \tabularnewline
0.48 & 131.969171813356 & 3.79438043368331 \tabularnewline
0.49 & 132.659857921181 & 3.81099110833728 \tabularnewline
0.5 & 133.351399107601 & 3.80448109235988 \tabularnewline
0.51 & 134.040375241914 & 3.77644906877565 \tabularnewline
0.52 & 134.723906367702 & 3.73104394290938 \tabularnewline
0.53 & 135.399927850692 & 3.67400980511305 \tabularnewline
0.54 & 136.067377531041 & 3.61204894206631 \tabularnewline
0.55 & 136.726259381698 & 3.55212636888138 \tabularnewline
0.56 & 137.377567093701 & 3.50071550143849 \tabularnewline
0.57 & 138.02307584462 & 3.46192511548988 \tabularnewline
0.58 & 138.66503606291 & 3.43815479454861 \tabularnewline
0.59 & 139.305823078074 & 3.42828219112081 \tabularnewline
0.6 & 139.947605705049 & 3.42917913370535 \tabularnewline
0.61 & 140.59209214107 & 3.43641223929161 \tabularnewline
0.62 & 141.240393800846 & 3.44566216579333 \tabularnewline
0.63 & 141.893021291779 & 3.45225646305147 \tabularnewline
0.64 & 142.549998497113 & 3.45389778004595 \tabularnewline
0.65 & 143.211057920324 & 3.44996170506298 \tabularnewline
0.66 & 143.875868391579 & 3.44090121462975 \tabularnewline
0.67 & 144.544246776871 & 3.42867095310224 \tabularnewline
0.68 & 145.216316368519 & 3.41539402334392 \tabularnewline
0.69 & 145.892591111908 & 3.40361576041659 \tabularnewline
0.7 & 146.573980701443 & 3.39548243853875 \tabularnewline
0.71 & 147.261722168925 & 3.3921940201407 \tabularnewline
0.72 & 147.957247385414 & 3.39427995329312 \tabularnewline
0.73 & 148.661995265765 & 3.40155814879575 \tabularnewline
0.74 & 149.377177823746 & 3.41223272675177 \tabularnewline
0.75 & 150.103516834529 & 3.42366949868001 \tabularnewline
0.76 & 150.840986694627 & 3.43192766032777 \tabularnewline
0.77 & 151.588627628582 & 3.4315581817857 \tabularnewline
0.78 & 152.344522540831 & 3.41694369780384 \tabularnewline
0.79 & 153.106043800688 & 3.38335919490496 \tabularnewline
0.8 & 153.870451999762 & 3.32871735623181 \tabularnewline
0.81 & 154.635849072078 & 3.25597353211934 \tabularnewline
0.82 & 155.402348920118 & 3.17407336266733 \tabularnewline
0.83 & 156.173152510496 & 3.09856169719744 \tabularnewline
0.84 & 156.955060469355 & 3.04862264499674 \tabularnewline
0.85 & 157.757917489844 & 3.04181980765929 \tabularnewline
0.86 & 158.592659778758 & 3.08444168860746 \tabularnewline
0.87 & 159.468081317091 & 3.16420892590813 \tabularnewline
0.88 & 160.387077777548 & 3.24804784973357 \tabularnewline
0.89 & 161.343731158481 & 3.2902256587548 \tabularnewline
0.9 & 162.322799457947 & 3.24774714957341 \tabularnewline
0.91 & 163.302650284749 & 3.09698859084163 \tabularnewline
0.92 & 164.261372133473 & 2.84567352595726 \tabularnewline
0.93 & 165.184042241948 & 2.53373614204903 \tabularnewline
0.94 & 166.067495058476 & 2.21969698659668 \tabularnewline
0.95 & 166.918066752663 & 1.95452681680997 \tabularnewline
0.96 & 167.738850544063 & 1.74492950799361 \tabularnewline
0.97 & 168.508476470486 & 1.51857105140722 \tabularnewline
0.98 & 169.165311530289 & 1.14552660410471 \tabularnewline
0.99 & 169.622659797957 & 0.588700136228176 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163214&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]114.389581729296[/C][C]0.506556428191149[/C][/ROW]
[ROW][C]0.02[/C][C]114.657123112287[/C][C]0.460159338310074[/C][/ROW]
[ROW][C]0.03[/C][C]114.92973354645[/C][C]0.435392686122693[/C][/ROW]
[ROW][C]0.04[/C][C]115.175638649035[/C][C]0.440599004340939[/C][/ROW]
[ROW][C]0.05[/C][C]115.399566588981[/C][C]0.484681850864945[/C][/ROW]
[ROW][C]0.06[/C][C]115.617216912609[/C][C]0.563433278720456[/C][/ROW]
[ROW][C]0.07[/C][C]115.841986971389[/C][C]0.659954044255529[/C][/ROW]
[ROW][C]0.08[/C][C]116.081220979486[/C][C]0.757140139869723[/C][/ROW]
[ROW][C]0.09[/C][C]116.336668525365[/C][C]0.845049154816711[/C][/ROW]
[ROW][C]0.1[/C][C]116.606268592029[/C][C]0.919443922995435[/C][/ROW]
[ROW][C]0.11[/C][C]116.885881706378[/C][C]0.97819938848917[/C][/ROW]
[ROW][C]0.12[/C][C]117.17043839575[/C][C]1.01812334683789[/C][/ROW]
[ROW][C]0.13[/C][C]117.454575095702[/C][C]1.03572667794597[/C][/ROW]
[ROW][C]0.14[/C][C]117.733096219534[/C][C]1.02975225489078[/C][/ROW]
[ROW][C]0.15[/C][C]118.00151424431[/C][C]1.00269962426398[/C][/ROW]
[ROW][C]0.16[/C][C]118.256673104475[/C][C]0.962315880842394[/C][/ROW]
[ROW][C]0.17[/C][C]118.497279515369[/C][C]0.918747007909587[/C][/ROW]
[ROW][C]0.18[/C][C]118.72415155022[/C][C]0.883436063224204[/C][/ROW]
[ROW][C]0.19[/C][C]118.940104148042[/C][C]0.866074756978716[/C][/ROW]
[ROW][C]0.2[/C][C]119.149527173223[/C][C]0.873455002882309[/C][/ROW]
[ROW][C]0.21[/C][C]119.357794556489[/C][C]0.908870821441513[/C][/ROW]
[ROW][C]0.22[/C][C]119.570650862895[/C][C]0.972064375658387[/C][/ROW]
[ROW][C]0.23[/C][C]119.793677903145[/C][C]1.06076306009409[/C][/ROW]
[ROW][C]0.24[/C][C]120.031887185376[/C][C]1.17098771812295[/C][/ROW]
[ROW][C]0.25[/C][C]120.289442142708[/C][C]1.29808168749489[/C][/ROW]
[ROW][C]0.26[/C][C]120.569495691132[/C][C]1.43701449323239[/C][/ROW]
[ROW][C]0.27[/C][C]120.874127361387[/C][C]1.58231693697413[/C][/ROW]
[ROW][C]0.28[/C][C]121.204368612141[/C][C]1.72909316650435[/C][/ROW]
[ROW][C]0.29[/C][C]121.560306608332[/C][C]1.8732804923858[/C][/ROW]
[ROW][C]0.3[/C][C]121.941253382458[/C][C]2.01170925277496[/C][/ROW]
[ROW][C]0.31[/C][C]122.345961178749[/C][C]2.14232079128448[/C][/ROW]
[ROW][C]0.32[/C][C]122.7728596745[/C][C]2.26435737027281[/C][/ROW]
[ROW][C]0.33[/C][C]123.220289268833[/C][C]2.37817691659077[/C][/ROW]
[ROW][C]0.34[/C][C]123.686707139067[/C][C]2.48484618029743[/C][/ROW]
[ROW][C]0.35[/C][C]124.170848025851[/C][C]2.58627703173291[/C][/ROW]
[ROW][C]0.36[/C][C]124.671827957364[/C][C]2.68477409625282[/C][/ROW]
[ROW][C]0.37[/C][C]125.189185089306[/C][C]2.78269201199727[/C][/ROW]
[ROW][C]0.38[/C][C]125.722857103008[/C][C]2.88206901754343[/C][/ROW]
[ROW][C]0.39[/C][C]126.27309936982[/C][C]2.98443158226327[/C][/ROW]
[ROW][C]0.4[/C][C]126.840352685174[/C][C]3.09041093628415[/C][/ROW]
[ROW][C]0.41[/C][C]127.425073868173[/C][C]3.19923926627874[/C][/ROW]
[ROW][C]0.42[/C][C]128.027546615927[/C][C]3.30922805570491[/C][/ROW]
[ROW][C]0.43[/C][C]128.647693178076[/C][C]3.41771281290333[/C][/ROW]
[ROW][C]0.44[/C][C]129.284909151418[/C][C]3.52097552468859[/C][/ROW]
[ROW][C]0.45[/C][C]129.937943578758[/C][C]3.61414446328704[/C][/ROW]
[ROW][C]0.46[/C][C]130.604844260553[/C][C]3.69353318564914[/C][/ROW]
[ROW][C]0.47[/C][C]131.282983466539[/C][C]3.75455664769073[/C][/ROW]
[ROW][C]0.48[/C][C]131.969171813356[/C][C]3.79438043368331[/C][/ROW]
[ROW][C]0.49[/C][C]132.659857921181[/C][C]3.81099110833728[/C][/ROW]
[ROW][C]0.5[/C][C]133.351399107601[/C][C]3.80448109235988[/C][/ROW]
[ROW][C]0.51[/C][C]134.040375241914[/C][C]3.77644906877565[/C][/ROW]
[ROW][C]0.52[/C][C]134.723906367702[/C][C]3.73104394290938[/C][/ROW]
[ROW][C]0.53[/C][C]135.399927850692[/C][C]3.67400980511305[/C][/ROW]
[ROW][C]0.54[/C][C]136.067377531041[/C][C]3.61204894206631[/C][/ROW]
[ROW][C]0.55[/C][C]136.726259381698[/C][C]3.55212636888138[/C][/ROW]
[ROW][C]0.56[/C][C]137.377567093701[/C][C]3.50071550143849[/C][/ROW]
[ROW][C]0.57[/C][C]138.02307584462[/C][C]3.46192511548988[/C][/ROW]
[ROW][C]0.58[/C][C]138.66503606291[/C][C]3.43815479454861[/C][/ROW]
[ROW][C]0.59[/C][C]139.305823078074[/C][C]3.42828219112081[/C][/ROW]
[ROW][C]0.6[/C][C]139.947605705049[/C][C]3.42917913370535[/C][/ROW]
[ROW][C]0.61[/C][C]140.59209214107[/C][C]3.43641223929161[/C][/ROW]
[ROW][C]0.62[/C][C]141.240393800846[/C][C]3.44566216579333[/C][/ROW]
[ROW][C]0.63[/C][C]141.893021291779[/C][C]3.45225646305147[/C][/ROW]
[ROW][C]0.64[/C][C]142.549998497113[/C][C]3.45389778004595[/C][/ROW]
[ROW][C]0.65[/C][C]143.211057920324[/C][C]3.44996170506298[/C][/ROW]
[ROW][C]0.66[/C][C]143.875868391579[/C][C]3.44090121462975[/C][/ROW]
[ROW][C]0.67[/C][C]144.544246776871[/C][C]3.42867095310224[/C][/ROW]
[ROW][C]0.68[/C][C]145.216316368519[/C][C]3.41539402334392[/C][/ROW]
[ROW][C]0.69[/C][C]145.892591111908[/C][C]3.40361576041659[/C][/ROW]
[ROW][C]0.7[/C][C]146.573980701443[/C][C]3.39548243853875[/C][/ROW]
[ROW][C]0.71[/C][C]147.261722168925[/C][C]3.3921940201407[/C][/ROW]
[ROW][C]0.72[/C][C]147.957247385414[/C][C]3.39427995329312[/C][/ROW]
[ROW][C]0.73[/C][C]148.661995265765[/C][C]3.40155814879575[/C][/ROW]
[ROW][C]0.74[/C][C]149.377177823746[/C][C]3.41223272675177[/C][/ROW]
[ROW][C]0.75[/C][C]150.103516834529[/C][C]3.42366949868001[/C][/ROW]
[ROW][C]0.76[/C][C]150.840986694627[/C][C]3.43192766032777[/C][/ROW]
[ROW][C]0.77[/C][C]151.588627628582[/C][C]3.4315581817857[/C][/ROW]
[ROW][C]0.78[/C][C]152.344522540831[/C][C]3.41694369780384[/C][/ROW]
[ROW][C]0.79[/C][C]153.106043800688[/C][C]3.38335919490496[/C][/ROW]
[ROW][C]0.8[/C][C]153.870451999762[/C][C]3.32871735623181[/C][/ROW]
[ROW][C]0.81[/C][C]154.635849072078[/C][C]3.25597353211934[/C][/ROW]
[ROW][C]0.82[/C][C]155.402348920118[/C][C]3.17407336266733[/C][/ROW]
[ROW][C]0.83[/C][C]156.173152510496[/C][C]3.09856169719744[/C][/ROW]
[ROW][C]0.84[/C][C]156.955060469355[/C][C]3.04862264499674[/C][/ROW]
[ROW][C]0.85[/C][C]157.757917489844[/C][C]3.04181980765929[/C][/ROW]
[ROW][C]0.86[/C][C]158.592659778758[/C][C]3.08444168860746[/C][/ROW]
[ROW][C]0.87[/C][C]159.468081317091[/C][C]3.16420892590813[/C][/ROW]
[ROW][C]0.88[/C][C]160.387077777548[/C][C]3.24804784973357[/C][/ROW]
[ROW][C]0.89[/C][C]161.343731158481[/C][C]3.2902256587548[/C][/ROW]
[ROW][C]0.9[/C][C]162.322799457947[/C][C]3.24774714957341[/C][/ROW]
[ROW][C]0.91[/C][C]163.302650284749[/C][C]3.09698859084163[/C][/ROW]
[ROW][C]0.92[/C][C]164.261372133473[/C][C]2.84567352595726[/C][/ROW]
[ROW][C]0.93[/C][C]165.184042241948[/C][C]2.53373614204903[/C][/ROW]
[ROW][C]0.94[/C][C]166.067495058476[/C][C]2.21969698659668[/C][/ROW]
[ROW][C]0.95[/C][C]166.918066752663[/C][C]1.95452681680997[/C][/ROW]
[ROW][C]0.96[/C][C]167.738850544063[/C][C]1.74492950799361[/C][/ROW]
[ROW][C]0.97[/C][C]168.508476470486[/C][C]1.51857105140722[/C][/ROW]
[ROW][C]0.98[/C][C]169.165311530289[/C][C]1.14552660410471[/C][/ROW]
[ROW][C]0.99[/C][C]169.622659797957[/C][C]0.588700136228176[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163214&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163214&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
0.01114.3895817292960.506556428191149
0.02114.6571231122870.460159338310074
0.03114.929733546450.435392686122693
0.04115.1756386490350.440599004340939
0.05115.3995665889810.484681850864945
0.06115.6172169126090.563433278720456
0.07115.8419869713890.659954044255529
0.08116.0812209794860.757140139869723
0.09116.3366685253650.845049154816711
0.1116.6062685920290.919443922995435
0.11116.8858817063780.97819938848917
0.12117.170438395751.01812334683789
0.13117.4545750957021.03572667794597
0.14117.7330962195341.02975225489078
0.15118.001514244311.00269962426398
0.16118.2566731044750.962315880842394
0.17118.4972795153690.918747007909587
0.18118.724151550220.883436063224204
0.19118.9401041480420.866074756978716
0.2119.1495271732230.873455002882309
0.21119.3577945564890.908870821441513
0.22119.5706508628950.972064375658387
0.23119.7936779031451.06076306009409
0.24120.0318871853761.17098771812295
0.25120.2894421427081.29808168749489
0.26120.5694956911321.43701449323239
0.27120.8741273613871.58231693697413
0.28121.2043686121411.72909316650435
0.29121.5603066083321.8732804923858
0.3121.9412533824582.01170925277496
0.31122.3459611787492.14232079128448
0.32122.77285967452.26435737027281
0.33123.2202892688332.37817691659077
0.34123.6867071390672.48484618029743
0.35124.1708480258512.58627703173291
0.36124.6718279573642.68477409625282
0.37125.1891850893062.78269201199727
0.38125.7228571030082.88206901754343
0.39126.273099369822.98443158226327
0.4126.8403526851743.09041093628415
0.41127.4250738681733.19923926627874
0.42128.0275466159273.30922805570491
0.43128.6476931780763.41771281290333
0.44129.2849091514183.52097552468859
0.45129.9379435787583.61414446328704
0.46130.6048442605533.69353318564914
0.47131.2829834665393.75455664769073
0.48131.9691718133563.79438043368331
0.49132.6598579211813.81099110833728
0.5133.3513991076013.80448109235988
0.51134.0403752419143.77644906877565
0.52134.7239063677023.73104394290938
0.53135.3999278506923.67400980511305
0.54136.0673775310413.61204894206631
0.55136.7262593816983.55212636888138
0.56137.3775670937013.50071550143849
0.57138.023075844623.46192511548988
0.58138.665036062913.43815479454861
0.59139.3058230780743.42828219112081
0.6139.9476057050493.42917913370535
0.61140.592092141073.43641223929161
0.62141.2403938008463.44566216579333
0.63141.8930212917793.45225646305147
0.64142.5499984971133.45389778004595
0.65143.2110579203243.44996170506298
0.66143.8758683915793.44090121462975
0.67144.5442467768713.42867095310224
0.68145.2163163685193.41539402334392
0.69145.8925911119083.40361576041659
0.7146.5739807014433.39548243853875
0.71147.2617221689253.3921940201407
0.72147.9572473854143.39427995329312
0.73148.6619952657653.40155814879575
0.74149.3771778237463.41223272675177
0.75150.1035168345293.42366949868001
0.76150.8409866946273.43192766032777
0.77151.5886276285823.4315581817857
0.78152.3445225408313.41694369780384
0.79153.1060438006883.38335919490496
0.8153.8704519997623.32871735623181
0.81154.6358490720783.25597353211934
0.82155.4023489201183.17407336266733
0.83156.1731525104963.09856169719744
0.84156.9550604693553.04862264499674
0.85157.7579174898443.04181980765929
0.86158.5926597787583.08444168860746
0.87159.4680813170913.16420892590813
0.88160.3870777775483.24804784973357
0.89161.3437311584813.2902256587548
0.9162.3227994579473.24774714957341
0.91163.3026502847493.09698859084163
0.92164.2613721334732.84567352595726
0.93165.1840422419482.53373614204903
0.94166.0674950584762.21969698659668
0.95166.9180667526631.95452681680997
0.96167.7388505440631.74492950799361
0.97168.5084764704861.51857105140722
0.98169.1653115302891.14552660410471
0.99169.6226597979570.588700136228176


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')