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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, 12 Oct 2011 15:40:44 -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/12/t1318448543kicubheebf9gdqn.htm/, Retrieved Fri, 10 May 2024 09:18:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128552, Retrieved Fri, 10 May 2024 09:18:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact122

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2011-10-12 17:58:59] [0ff094e7256fa2492c173f4e952ef610]
- RMPD  [Harrell-Davis Quantiles] [] [2011-10-12 19:27:43] [0ff094e7256fa2492c173f4e952ef610]
-    D      [Harrell-Davis Quantiles] [] [2011-10-12 19:40:44] [860f1af8dde2fbc4c0f468abef92388b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99,1
99,7
100,1
100,2
100,1
100,4
99,8
99,7
99,4
100,2
100,5
100,6
100,9
101,9
102,1
102,6
103,5
103,9
103,7
103
103,1
103,2
103,2
103,1
103,7
104,2
104,4
104,9
105,4
105,9
105,5
106,1
105,4
105,7
106,2
106,7
106,8
106,8
106,8
107,3
107,3
107,5
107,4
106,9
108,1
108,6
108,2
108,3
108,3
109,3
109,2
109,4
109,7
109,6
109,3
108,4
108,7
109,4
109
110,3
109,5
109,7
109,5
110,9
110,9
110,4
111,1
110,8
111,3
111,7
112,2
111,7
111,3
111,9
111,7
111,8
111,5
112,9
112
112,4
111,1
111,7
111,4
112,2
112,5
113,2
114,7
115,2
114,1
113,7
115,5
115
115,4
115
114,6
114,6
114,5
115,2
116,3
116,5
118,4
118,5
118,7
119,2
119,5
118,5
118,6
118,2
118,6
120,6
124,5
124,6
126,5
126
126,3
126,3
125,1
126,7
123,9
123,6
124,9
126,2
126,3
126,4
126,2
125,8
124,9
126,2
125,9
124,6
122,9
119,9

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=128552&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=128552&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128552&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
0.0199.3227793416450.265027564117207
0.0299.58630219871230.223858486357881
0.0399.78540345101740.221749385675296
0.0499.95151639752570.247053775040111
0.05100.1141726514260.293968528310388
0.06100.2949114038130.396952888337261
0.07100.5178580801180.562007564555671
0.08100.8013941986960.753230878203762
0.09101.1464094074220.916885681705917
0.1101.53392570841.00782049323719
0.11101.9330834790541.01072455092298
0.12102.3138866151180.944477930402838
0.13102.6576733123220.849357622519882
0.14102.9609418474310.767874449523853
0.15103.2325507543370.728460621159709
0.16103.4873772731930.737967647262197
0.17103.7399606210020.784236602134614
0.18104.0003117582930.84719897011407
0.19104.2724209470420.907357395919758
0.2104.5549188961860.951195045824899
0.21104.8429499008010.972160432248147
0.22105.1303494403190.970142630240002
0.23105.4114585966020.950337750403468
0.24105.6822315634920.919882483617778
0.25105.9406111321810.885467459057528
0.26106.1863667845080.852800149824674
0.27106.420655145240.825588436105205
0.28106.6454993889940.806273469950865
0.29106.863280816720.795262644609951
0.3107.0762728619320.791594306010264
0.31107.2862457357310.792529574550127
0.32107.4941930804650.794982553962379
0.33107.7002337833890.794380808694527
0.34107.9037063502350.78862357206554
0.35108.1034207736190.776218685477257
0.36108.2979969629470.757293529338609
0.37108.486216245510.73363197783499
0.38108.667333157950.707185220664591
0.39108.8413147546410.681568049829938
0.4109.0089779981580.660675063365599
0.41109.1719873220230.648009784957034
0.42109.3326747987590.646722542095444
0.43109.4936732969890.657334617148475
0.44109.6574089934120.677513829266158
0.45109.8255619679150.702805090246022
0.46109.9986400391110.726898642661493
0.47110.1757974813630.743584540010218
0.48110.3549658079610.748089925987445
0.49110.5332722562320.737972071509958
0.5110.7076398434750.714259751730881
0.51110.875422280620.680029137281736
0.52111.0349386744310.640672891047385
0.53111.1858239137610.602326463266957
0.54111.3291728177130.571068301562953
0.55111.4675015960260.553168209263948
0.56111.6045645603270.553400587679778
0.57111.7450514756330.575197044125994
0.58111.8941696108280.61963515011528
0.59112.057106340770.68508391405621
0.6112.2383880484080.767100120278423
0.61112.4411999020960.858293303847669
0.62112.6667933770510.949435961354226
0.63112.9141557362981.03014181455867
0.64113.1801156243951.09218409608981
0.65113.4599882550751.13035339392057
0.66113.7487222409631.14538900949041
0.67114.0423287607921.14449679577402
0.68114.3392109548711.13964987620467
0.69114.6409377858311.14597649102153
0.7114.9520814658951.17630714209152
0.71115.2789837021591.23550781417647
0.72115.6276971625981.31767458315505
0.73116.0017565085391.40710439668705
0.74116.4006981643821.48417069209815
0.75116.8201880767651.5328491431374
0.76117.254129787021.54885414401543
0.77117.6982861613561.54458450279669
0.78118.1540488635431.54756178452252
0.79118.630465310181.59146591128973
0.8119.142879947041.6988913123899
0.81119.7077037036761.86350577561635
0.82120.3346134411252.04719155926549
0.83121.01918887512.19086685096513
0.84121.7396634750872.23654645491448
0.85122.4603427771732.15041268956931
0.86123.1413567679161.93790966613988
0.87123.7509466970411.64403199655393
0.88124.27446259351.33446710514162
0.89124.7153770739841.066745692698
0.9125.0878995092220.865057859873765
0.91125.4058956998430.713315138378769
0.92125.675236607580.577944262598557
0.93125.8941602768190.43891436023263
0.94126.0601847582130.302324995808887
0.95126.1775617284260.188482251614278
0.96126.2605580697970.114794435242076
0.97126.3330185258390.0898750244600063
0.98126.4267104843350.107000143696064
0.99126.5685967064230.147617579951818

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.322779341645 & 0.265027564117207 \tabularnewline
0.02 & 99.5863021987123 & 0.223858486357881 \tabularnewline
0.03 & 99.7854034510174 & 0.221749385675296 \tabularnewline
0.04 & 99.9515163975257 & 0.247053775040111 \tabularnewline
0.05 & 100.114172651426 & 0.293968528310388 \tabularnewline
0.06 & 100.294911403813 & 0.396952888337261 \tabularnewline
0.07 & 100.517858080118 & 0.562007564555671 \tabularnewline
0.08 & 100.801394198696 & 0.753230878203762 \tabularnewline
0.09 & 101.146409407422 & 0.916885681705917 \tabularnewline
0.1 & 101.5339257084 & 1.00782049323719 \tabularnewline
0.11 & 101.933083479054 & 1.01072455092298 \tabularnewline
0.12 & 102.313886615118 & 0.944477930402838 \tabularnewline
0.13 & 102.657673312322 & 0.849357622519882 \tabularnewline
0.14 & 102.960941847431 & 0.767874449523853 \tabularnewline
0.15 & 103.232550754337 & 0.728460621159709 \tabularnewline
0.16 & 103.487377273193 & 0.737967647262197 \tabularnewline
0.17 & 103.739960621002 & 0.784236602134614 \tabularnewline
0.18 & 104.000311758293 & 0.84719897011407 \tabularnewline
0.19 & 104.272420947042 & 0.907357395919758 \tabularnewline
0.2 & 104.554918896186 & 0.951195045824899 \tabularnewline
0.21 & 104.842949900801 & 0.972160432248147 \tabularnewline
0.22 & 105.130349440319 & 0.970142630240002 \tabularnewline
0.23 & 105.411458596602 & 0.950337750403468 \tabularnewline
0.24 & 105.682231563492 & 0.919882483617778 \tabularnewline
0.25 & 105.940611132181 & 0.885467459057528 \tabularnewline
0.26 & 106.186366784508 & 0.852800149824674 \tabularnewline
0.27 & 106.42065514524 & 0.825588436105205 \tabularnewline
0.28 & 106.645499388994 & 0.806273469950865 \tabularnewline
0.29 & 106.86328081672 & 0.795262644609951 \tabularnewline
0.3 & 107.076272861932 & 0.791594306010264 \tabularnewline
0.31 & 107.286245735731 & 0.792529574550127 \tabularnewline
0.32 & 107.494193080465 & 0.794982553962379 \tabularnewline
0.33 & 107.700233783389 & 0.794380808694527 \tabularnewline
0.34 & 107.903706350235 & 0.78862357206554 \tabularnewline
0.35 & 108.103420773619 & 0.776218685477257 \tabularnewline
0.36 & 108.297996962947 & 0.757293529338609 \tabularnewline
0.37 & 108.48621624551 & 0.73363197783499 \tabularnewline
0.38 & 108.66733315795 & 0.707185220664591 \tabularnewline
0.39 & 108.841314754641 & 0.681568049829938 \tabularnewline
0.4 & 109.008977998158 & 0.660675063365599 \tabularnewline
0.41 & 109.171987322023 & 0.648009784957034 \tabularnewline
0.42 & 109.332674798759 & 0.646722542095444 \tabularnewline
0.43 & 109.493673296989 & 0.657334617148475 \tabularnewline
0.44 & 109.657408993412 & 0.677513829266158 \tabularnewline
0.45 & 109.825561967915 & 0.702805090246022 \tabularnewline
0.46 & 109.998640039111 & 0.726898642661493 \tabularnewline
0.47 & 110.175797481363 & 0.743584540010218 \tabularnewline
0.48 & 110.354965807961 & 0.748089925987445 \tabularnewline
0.49 & 110.533272256232 & 0.737972071509958 \tabularnewline
0.5 & 110.707639843475 & 0.714259751730881 \tabularnewline
0.51 & 110.87542228062 & 0.680029137281736 \tabularnewline
0.52 & 111.034938674431 & 0.640672891047385 \tabularnewline
0.53 & 111.185823913761 & 0.602326463266957 \tabularnewline
0.54 & 111.329172817713 & 0.571068301562953 \tabularnewline
0.55 & 111.467501596026 & 0.553168209263948 \tabularnewline
0.56 & 111.604564560327 & 0.553400587679778 \tabularnewline
0.57 & 111.745051475633 & 0.575197044125994 \tabularnewline
0.58 & 111.894169610828 & 0.61963515011528 \tabularnewline
0.59 & 112.05710634077 & 0.68508391405621 \tabularnewline
0.6 & 112.238388048408 & 0.767100120278423 \tabularnewline
0.61 & 112.441199902096 & 0.858293303847669 \tabularnewline
0.62 & 112.666793377051 & 0.949435961354226 \tabularnewline
0.63 & 112.914155736298 & 1.03014181455867 \tabularnewline
0.64 & 113.180115624395 & 1.09218409608981 \tabularnewline
0.65 & 113.459988255075 & 1.13035339392057 \tabularnewline
0.66 & 113.748722240963 & 1.14538900949041 \tabularnewline
0.67 & 114.042328760792 & 1.14449679577402 \tabularnewline
0.68 & 114.339210954871 & 1.13964987620467 \tabularnewline
0.69 & 114.640937785831 & 1.14597649102153 \tabularnewline
0.7 & 114.952081465895 & 1.17630714209152 \tabularnewline
0.71 & 115.278983702159 & 1.23550781417647 \tabularnewline
0.72 & 115.627697162598 & 1.31767458315505 \tabularnewline
0.73 & 116.001756508539 & 1.40710439668705 \tabularnewline
0.74 & 116.400698164382 & 1.48417069209815 \tabularnewline
0.75 & 116.820188076765 & 1.5328491431374 \tabularnewline
0.76 & 117.25412978702 & 1.54885414401543 \tabularnewline
0.77 & 117.698286161356 & 1.54458450279669 \tabularnewline
0.78 & 118.154048863543 & 1.54756178452252 \tabularnewline
0.79 & 118.63046531018 & 1.59146591128973 \tabularnewline
0.8 & 119.14287994704 & 1.6988913123899 \tabularnewline
0.81 & 119.707703703676 & 1.86350577561635 \tabularnewline
0.82 & 120.334613441125 & 2.04719155926549 \tabularnewline
0.83 & 121.0191888751 & 2.19086685096513 \tabularnewline
0.84 & 121.739663475087 & 2.23654645491448 \tabularnewline
0.85 & 122.460342777173 & 2.15041268956931 \tabularnewline
0.86 & 123.141356767916 & 1.93790966613988 \tabularnewline
0.87 & 123.750946697041 & 1.64403199655393 \tabularnewline
0.88 & 124.2744625935 & 1.33446710514162 \tabularnewline
0.89 & 124.715377073984 & 1.066745692698 \tabularnewline
0.9 & 125.087899509222 & 0.865057859873765 \tabularnewline
0.91 & 125.405895699843 & 0.713315138378769 \tabularnewline
0.92 & 125.67523660758 & 0.577944262598557 \tabularnewline
0.93 & 125.894160276819 & 0.43891436023263 \tabularnewline
0.94 & 126.060184758213 & 0.302324995808887 \tabularnewline
0.95 & 126.177561728426 & 0.188482251614278 \tabularnewline
0.96 & 126.260558069797 & 0.114794435242076 \tabularnewline
0.97 & 126.333018525839 & 0.0898750244600063 \tabularnewline
0.98 & 126.426710484335 & 0.107000143696064 \tabularnewline
0.99 & 126.568596706423 & 0.147617579951818 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128552&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]99.322779341645[/C][C]0.265027564117207[/C][/ROW]
[ROW][C]0.02[/C][C]99.5863021987123[/C][C]0.223858486357881[/C][/ROW]
[ROW][C]0.03[/C][C]99.7854034510174[/C][C]0.221749385675296[/C][/ROW]
[ROW][C]0.04[/C][C]99.9515163975257[/C][C]0.247053775040111[/C][/ROW]
[ROW][C]0.05[/C][C]100.114172651426[/C][C]0.293968528310388[/C][/ROW]
[ROW][C]0.06[/C][C]100.294911403813[/C][C]0.396952888337261[/C][/ROW]
[ROW][C]0.07[/C][C]100.517858080118[/C][C]0.562007564555671[/C][/ROW]
[ROW][C]0.08[/C][C]100.801394198696[/C][C]0.753230878203762[/C][/ROW]
[ROW][C]0.09[/C][C]101.146409407422[/C][C]0.916885681705917[/C][/ROW]
[ROW][C]0.1[/C][C]101.5339257084[/C][C]1.00782049323719[/C][/ROW]
[ROW][C]0.11[/C][C]101.933083479054[/C][C]1.01072455092298[/C][/ROW]
[ROW][C]0.12[/C][C]102.313886615118[/C][C]0.944477930402838[/C][/ROW]
[ROW][C]0.13[/C][C]102.657673312322[/C][C]0.849357622519882[/C][/ROW]
[ROW][C]0.14[/C][C]102.960941847431[/C][C]0.767874449523853[/C][/ROW]
[ROW][C]0.15[/C][C]103.232550754337[/C][C]0.728460621159709[/C][/ROW]
[ROW][C]0.16[/C][C]103.487377273193[/C][C]0.737967647262197[/C][/ROW]
[ROW][C]0.17[/C][C]103.739960621002[/C][C]0.784236602134614[/C][/ROW]
[ROW][C]0.18[/C][C]104.000311758293[/C][C]0.84719897011407[/C][/ROW]
[ROW][C]0.19[/C][C]104.272420947042[/C][C]0.907357395919758[/C][/ROW]
[ROW][C]0.2[/C][C]104.554918896186[/C][C]0.951195045824899[/C][/ROW]
[ROW][C]0.21[/C][C]104.842949900801[/C][C]0.972160432248147[/C][/ROW]
[ROW][C]0.22[/C][C]105.130349440319[/C][C]0.970142630240002[/C][/ROW]
[ROW][C]0.23[/C][C]105.411458596602[/C][C]0.950337750403468[/C][/ROW]
[ROW][C]0.24[/C][C]105.682231563492[/C][C]0.919882483617778[/C][/ROW]
[ROW][C]0.25[/C][C]105.940611132181[/C][C]0.885467459057528[/C][/ROW]
[ROW][C]0.26[/C][C]106.186366784508[/C][C]0.852800149824674[/C][/ROW]
[ROW][C]0.27[/C][C]106.42065514524[/C][C]0.825588436105205[/C][/ROW]
[ROW][C]0.28[/C][C]106.645499388994[/C][C]0.806273469950865[/C][/ROW]
[ROW][C]0.29[/C][C]106.86328081672[/C][C]0.795262644609951[/C][/ROW]
[ROW][C]0.3[/C][C]107.076272861932[/C][C]0.791594306010264[/C][/ROW]
[ROW][C]0.31[/C][C]107.286245735731[/C][C]0.792529574550127[/C][/ROW]
[ROW][C]0.32[/C][C]107.494193080465[/C][C]0.794982553962379[/C][/ROW]
[ROW][C]0.33[/C][C]107.700233783389[/C][C]0.794380808694527[/C][/ROW]
[ROW][C]0.34[/C][C]107.903706350235[/C][C]0.78862357206554[/C][/ROW]
[ROW][C]0.35[/C][C]108.103420773619[/C][C]0.776218685477257[/C][/ROW]
[ROW][C]0.36[/C][C]108.297996962947[/C][C]0.757293529338609[/C][/ROW]
[ROW][C]0.37[/C][C]108.48621624551[/C][C]0.73363197783499[/C][/ROW]
[ROW][C]0.38[/C][C]108.66733315795[/C][C]0.707185220664591[/C][/ROW]
[ROW][C]0.39[/C][C]108.841314754641[/C][C]0.681568049829938[/C][/ROW]
[ROW][C]0.4[/C][C]109.008977998158[/C][C]0.660675063365599[/C][/ROW]
[ROW][C]0.41[/C][C]109.171987322023[/C][C]0.648009784957034[/C][/ROW]
[ROW][C]0.42[/C][C]109.332674798759[/C][C]0.646722542095444[/C][/ROW]
[ROW][C]0.43[/C][C]109.493673296989[/C][C]0.657334617148475[/C][/ROW]
[ROW][C]0.44[/C][C]109.657408993412[/C][C]0.677513829266158[/C][/ROW]
[ROW][C]0.45[/C][C]109.825561967915[/C][C]0.702805090246022[/C][/ROW]
[ROW][C]0.46[/C][C]109.998640039111[/C][C]0.726898642661493[/C][/ROW]
[ROW][C]0.47[/C][C]110.175797481363[/C][C]0.743584540010218[/C][/ROW]
[ROW][C]0.48[/C][C]110.354965807961[/C][C]0.748089925987445[/C][/ROW]
[ROW][C]0.49[/C][C]110.533272256232[/C][C]0.737972071509958[/C][/ROW]
[ROW][C]0.5[/C][C]110.707639843475[/C][C]0.714259751730881[/C][/ROW]
[ROW][C]0.51[/C][C]110.87542228062[/C][C]0.680029137281736[/C][/ROW]
[ROW][C]0.52[/C][C]111.034938674431[/C][C]0.640672891047385[/C][/ROW]
[ROW][C]0.53[/C][C]111.185823913761[/C][C]0.602326463266957[/C][/ROW]
[ROW][C]0.54[/C][C]111.329172817713[/C][C]0.571068301562953[/C][/ROW]
[ROW][C]0.55[/C][C]111.467501596026[/C][C]0.553168209263948[/C][/ROW]
[ROW][C]0.56[/C][C]111.604564560327[/C][C]0.553400587679778[/C][/ROW]
[ROW][C]0.57[/C][C]111.745051475633[/C][C]0.575197044125994[/C][/ROW]
[ROW][C]0.58[/C][C]111.894169610828[/C][C]0.61963515011528[/C][/ROW]
[ROW][C]0.59[/C][C]112.05710634077[/C][C]0.68508391405621[/C][/ROW]
[ROW][C]0.6[/C][C]112.238388048408[/C][C]0.767100120278423[/C][/ROW]
[ROW][C]0.61[/C][C]112.441199902096[/C][C]0.858293303847669[/C][/ROW]
[ROW][C]0.62[/C][C]112.666793377051[/C][C]0.949435961354226[/C][/ROW]
[ROW][C]0.63[/C][C]112.914155736298[/C][C]1.03014181455867[/C][/ROW]
[ROW][C]0.64[/C][C]113.180115624395[/C][C]1.09218409608981[/C][/ROW]
[ROW][C]0.65[/C][C]113.459988255075[/C][C]1.13035339392057[/C][/ROW]
[ROW][C]0.66[/C][C]113.748722240963[/C][C]1.14538900949041[/C][/ROW]
[ROW][C]0.67[/C][C]114.042328760792[/C][C]1.14449679577402[/C][/ROW]
[ROW][C]0.68[/C][C]114.339210954871[/C][C]1.13964987620467[/C][/ROW]
[ROW][C]0.69[/C][C]114.640937785831[/C][C]1.14597649102153[/C][/ROW]
[ROW][C]0.7[/C][C]114.952081465895[/C][C]1.17630714209152[/C][/ROW]
[ROW][C]0.71[/C][C]115.278983702159[/C][C]1.23550781417647[/C][/ROW]
[ROW][C]0.72[/C][C]115.627697162598[/C][C]1.31767458315505[/C][/ROW]
[ROW][C]0.73[/C][C]116.001756508539[/C][C]1.40710439668705[/C][/ROW]
[ROW][C]0.74[/C][C]116.400698164382[/C][C]1.48417069209815[/C][/ROW]
[ROW][C]0.75[/C][C]116.820188076765[/C][C]1.5328491431374[/C][/ROW]
[ROW][C]0.76[/C][C]117.25412978702[/C][C]1.54885414401543[/C][/ROW]
[ROW][C]0.77[/C][C]117.698286161356[/C][C]1.54458450279669[/C][/ROW]
[ROW][C]0.78[/C][C]118.154048863543[/C][C]1.54756178452252[/C][/ROW]
[ROW][C]0.79[/C][C]118.63046531018[/C][C]1.59146591128973[/C][/ROW]
[ROW][C]0.8[/C][C]119.14287994704[/C][C]1.6988913123899[/C][/ROW]
[ROW][C]0.81[/C][C]119.707703703676[/C][C]1.86350577561635[/C][/ROW]
[ROW][C]0.82[/C][C]120.334613441125[/C][C]2.04719155926549[/C][/ROW]
[ROW][C]0.83[/C][C]121.0191888751[/C][C]2.19086685096513[/C][/ROW]
[ROW][C]0.84[/C][C]121.739663475087[/C][C]2.23654645491448[/C][/ROW]
[ROW][C]0.85[/C][C]122.460342777173[/C][C]2.15041268956931[/C][/ROW]
[ROW][C]0.86[/C][C]123.141356767916[/C][C]1.93790966613988[/C][/ROW]
[ROW][C]0.87[/C][C]123.750946697041[/C][C]1.64403199655393[/C][/ROW]
[ROW][C]0.88[/C][C]124.2744625935[/C][C]1.33446710514162[/C][/ROW]
[ROW][C]0.89[/C][C]124.715377073984[/C][C]1.066745692698[/C][/ROW]
[ROW][C]0.9[/C][C]125.087899509222[/C][C]0.865057859873765[/C][/ROW]
[ROW][C]0.91[/C][C]125.405895699843[/C][C]0.713315138378769[/C][/ROW]
[ROW][C]0.92[/C][C]125.67523660758[/C][C]0.577944262598557[/C][/ROW]
[ROW][C]0.93[/C][C]125.894160276819[/C][C]0.43891436023263[/C][/ROW]
[ROW][C]0.94[/C][C]126.060184758213[/C][C]0.302324995808887[/C][/ROW]
[ROW][C]0.95[/C][C]126.177561728426[/C][C]0.188482251614278[/C][/ROW]
[ROW][C]0.96[/C][C]126.260558069797[/C][C]0.114794435242076[/C][/ROW]
[ROW][C]0.97[/C][C]126.333018525839[/C][C]0.0898750244600063[/C][/ROW]
[ROW][C]0.98[/C][C]126.426710484335[/C][C]0.107000143696064[/C][/ROW]
[ROW][C]0.99[/C][C]126.568596706423[/C][C]0.147617579951818[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128552&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128552&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
0.0199.3227793416450.265027564117207
0.0299.58630219871230.223858486357881
0.0399.78540345101740.221749385675296
0.0499.95151639752570.247053775040111
0.05100.1141726514260.293968528310388
0.06100.2949114038130.396952888337261
0.07100.5178580801180.562007564555671
0.08100.8013941986960.753230878203762
0.09101.1464094074220.916885681705917
0.1101.53392570841.00782049323719
0.11101.9330834790541.01072455092298
0.12102.3138866151180.944477930402838
0.13102.6576733123220.849357622519882
0.14102.9609418474310.767874449523853
0.15103.2325507543370.728460621159709
0.16103.4873772731930.737967647262197
0.17103.7399606210020.784236602134614
0.18104.0003117582930.84719897011407
0.19104.2724209470420.907357395919758
0.2104.5549188961860.951195045824899
0.21104.8429499008010.972160432248147
0.22105.1303494403190.970142630240002
0.23105.4114585966020.950337750403468
0.24105.6822315634920.919882483617778
0.25105.9406111321810.885467459057528
0.26106.1863667845080.852800149824674
0.27106.420655145240.825588436105205
0.28106.6454993889940.806273469950865
0.29106.863280816720.795262644609951
0.3107.0762728619320.791594306010264
0.31107.2862457357310.792529574550127
0.32107.4941930804650.794982553962379
0.33107.7002337833890.794380808694527
0.34107.9037063502350.78862357206554
0.35108.1034207736190.776218685477257
0.36108.2979969629470.757293529338609
0.37108.486216245510.73363197783499
0.38108.667333157950.707185220664591
0.39108.8413147546410.681568049829938
0.4109.0089779981580.660675063365599
0.41109.1719873220230.648009784957034
0.42109.3326747987590.646722542095444
0.43109.4936732969890.657334617148475
0.44109.6574089934120.677513829266158
0.45109.8255619679150.702805090246022
0.46109.9986400391110.726898642661493
0.47110.1757974813630.743584540010218
0.48110.3549658079610.748089925987445
0.49110.5332722562320.737972071509958
0.5110.7076398434750.714259751730881
0.51110.875422280620.680029137281736
0.52111.0349386744310.640672891047385
0.53111.1858239137610.602326463266957
0.54111.3291728177130.571068301562953
0.55111.4675015960260.553168209263948
0.56111.6045645603270.553400587679778
0.57111.7450514756330.575197044125994
0.58111.8941696108280.61963515011528
0.59112.057106340770.68508391405621
0.6112.2383880484080.767100120278423
0.61112.4411999020960.858293303847669
0.62112.6667933770510.949435961354226
0.63112.9141557362981.03014181455867
0.64113.1801156243951.09218409608981
0.65113.4599882550751.13035339392057
0.66113.7487222409631.14538900949041
0.67114.0423287607921.14449679577402
0.68114.3392109548711.13964987620467
0.69114.6409377858311.14597649102153
0.7114.9520814658951.17630714209152
0.71115.2789837021591.23550781417647
0.72115.6276971625981.31767458315505
0.73116.0017565085391.40710439668705
0.74116.4006981643821.48417069209815
0.75116.8201880767651.5328491431374
0.76117.254129787021.54885414401543
0.77117.6982861613561.54458450279669
0.78118.1540488635431.54756178452252
0.79118.630465310181.59146591128973
0.8119.142879947041.6988913123899
0.81119.7077037036761.86350577561635
0.82120.3346134411252.04719155926549
0.83121.01918887512.19086685096513
0.84121.7396634750872.23654645491448
0.85122.4603427771732.15041268956931
0.86123.1413567679161.93790966613988
0.87123.7509466970411.64403199655393
0.88124.27446259351.33446710514162
0.89124.7153770739841.066745692698
0.9125.0878995092220.865057859873765
0.91125.4058956998430.713315138378769
0.92125.675236607580.577944262598557
0.93125.8941602768190.43891436023263
0.94126.0601847582130.302324995808887
0.95126.1775617284260.188482251614278
0.96126.2605580697970.114794435242076
0.97126.3330185258390.0898750244600063
0.98126.4267104843350.107000143696064
0.99126.5685967064230.147617579951818


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')