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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 12 Oct 2010 08:21:02 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/12/t1286871754ka0lz6ix8mu67ug.htm/, Retrieved Tue, 30 Apr 2024 14:34:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82777, Retrieved Tue, 30 Apr 2024 14:34:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact138

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] [Percentielen Visp...] [2010-10-12 08:21:02] [bf26e49ed6e1a435b77b49c7144b8136] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96.1
96.5
96.9
97.8
98.9
100.2
101.2
101
101.6
102.4
103.7
103.7
104.6
104.5
104.5
105.6
106.1
107.6
107.7
108.3
108.1
108.1
108
108.2
108.9
109.8
109.9
109.8
110.9
111.1
112.2
112.7
114.6
114.2
114.7
114.7
116
116.3
116.4
116.6
118.1
117.2
108.3
109.5
110.5
110.6
111.2
111.1
111
112.4
112.5
112.4
111.8
111.6
112.9
112.8
113.7
113.8
114
113.8
113.9
114.4
114.4
114.5
113.8
114.3
115
115.4
115.3
114.9
114.3
114.5
115.5
115.8
115.8
116
114.9
114.1
114.1
113.5
115
114.7
115.4
116.1
116.6
117.2
118.2
118
117.7
118.5
117.5
118
117.7
116.3
115
115.7
113.6
114.8
114.9
117.3
117.3
117.7
120
119.6
119.2
117.3
117.5
119
112.5
118.9
118.4
119.4
120.6
118.6
122
122.6
120.6
117.4
116.4
122.2
121
122.4
124.9
126.1
124.5
123.2
126.4
123.9
116
126.6
125.9
126.6
116.7
126.4
129
128.7
128.4
129.2
133.3
128.9
132.7
127.7
131.8
133.9

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82777&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82777&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82777&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.58192602264250.68776241238993
0.0297.5191871371911.29082111484781
0.0398.6996798645061.63654486505400
0.0499.89742956086821.66514008715613
0.05100.9756791473141.6061302260608
0.06101.9280952010161.59744513061675
0.07102.7959551992481.61565571503755
0.08103.6086282481481.62945526997352
0.09104.3799700304711.64848857591137
0.1105.1169162902101.66656454175957
0.11105.8175686413051.64475949082792
0.12106.4689433969561.55241226652731
0.13107.0544446536001.40120060766387
0.14107.5660279037491.23813682096428
0.15108.0105516211161.11414729571184
0.16108.4063310008211.05313689264454
0.17108.7740693400571.04425841070395
0.18109.1288543439941.05721444006035
0.19109.4771023487471.06554575054374
0.2109.8182331684141.05633085590039
0.21110.1485246226441.02979485147365
0.22110.4645781749170.99394045240474
0.23110.7650809382870.957638528911382
0.24111.0508597660410.92716080247988
0.25111.3239534078370.903798883990378
0.26111.5865268068990.88546658429524
0.27111.8401559991080.868853833418625
0.28112.0856081622200.851344610600667
0.29112.3229472283430.831650264547387
0.3112.5517142494700.808260585991834
0.31112.7710356775350.78038530325301
0.32112.9796780795120.745877266581972
0.33113.1761617249610.704286677947667
0.34113.3590129073450.655531616219595
0.35113.5271221066390.602074582337538
0.36113.6800787667710.547484427992603
0.37113.8183429993230.495606212505386
0.38113.9431893236550.449723025347795
0.39114.0564616957000.411647675788468
0.4114.1602497796030.381740788284663
0.41114.2566044218810.359092677362242
0.42114.3473676936180.342456852338046
0.43114.4341333230890.331299782338314
0.44114.5183063618370.324853602247244
0.45114.6012084348750.323156864238738
0.46114.6841736325470.326806087298345
0.47114.7685916250450.335819160808578
0.48114.8558732381730.350677327834860
0.49114.9473374666740.370552871143026
0.5115.0440454582360.394074975715386
0.51115.1466304256250.418850602350653
0.52115.2551836482420.442716403404624
0.53115.3692480114310.462858667823141
0.54115.4879409182280.478299498838015
0.55115.6101859584340.488546636502528
0.56115.7349921317470.494868309829583
0.57115.8616961340320.499064662596
0.58115.9900872517190.503278088280478
0.59116.1203668022810.509252137011645
0.6116.2529466427080.517207498528011
0.61116.3881487848260.526423726294538
0.62116.5259115824440.534447337192166
0.63116.6656192344750.538599801906682
0.64116.8061401576900.536745533696067
0.65116.9460908715750.528635047095607
0.66117.0842583818550.515205221904967
0.67117.2200505446390.500255293605175
0.68117.3538313342310.487959966161079
0.69117.4870451855770.482751699715364
0.7117.6221210340900.487911422363211
0.71117.7622319606660.505201830720559
0.72117.9110320971750.535493508761055
0.73118.0724816960900.578412567790426
0.74118.2508131543210.634366581652945
0.75118.4506103860770.70417287233712
0.76118.6768989231480.788626458234448
0.77118.9351000700460.888161315563943
0.78119.2307163731871.00190394080909
0.79119.5687126151571.12615037118045
0.8119.9527333392001.25414957204514
0.81120.3844807125861.37763575098344
0.82120.8636072866161.48914066060676
0.83121.3881956867761.58454411361446
0.84121.9553286855291.66303067629349
0.85122.5607913956291.72271182566076
0.86123.1972544708171.75504238373369
0.87123.8517442210321.74265113180597
0.88124.5051384886601.66824497133135
0.89125.1368569682011.53291541077921
0.9125.7347265107731.36916402002356
0.91126.3037370542641.23372728243488
0.92126.8639333671291.16512396007834
0.93127.4361577468191.13794805829454
0.94128.0354546377791.10105472996075
0.95128.7005472225861.10154037265865
0.96129.5377363074291.30791680178542
0.97130.6641745502741.63479580166630
0.98132.0026363177281.56067979084331
0.99133.2192537060970.934087134858817

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.5819260226425 & 0.68776241238993 \tabularnewline
0.02 & 97.519187137191 & 1.29082111484781 \tabularnewline
0.03 & 98.699679864506 & 1.63654486505400 \tabularnewline
0.04 & 99.8974295608682 & 1.66514008715613 \tabularnewline
0.05 & 100.975679147314 & 1.6061302260608 \tabularnewline
0.06 & 101.928095201016 & 1.59744513061675 \tabularnewline
0.07 & 102.795955199248 & 1.61565571503755 \tabularnewline
0.08 & 103.608628248148 & 1.62945526997352 \tabularnewline
0.09 & 104.379970030471 & 1.64848857591137 \tabularnewline
0.1 & 105.116916290210 & 1.66656454175957 \tabularnewline
0.11 & 105.817568641305 & 1.64475949082792 \tabularnewline
0.12 & 106.468943396956 & 1.55241226652731 \tabularnewline
0.13 & 107.054444653600 & 1.40120060766387 \tabularnewline
0.14 & 107.566027903749 & 1.23813682096428 \tabularnewline
0.15 & 108.010551621116 & 1.11414729571184 \tabularnewline
0.16 & 108.406331000821 & 1.05313689264454 \tabularnewline
0.17 & 108.774069340057 & 1.04425841070395 \tabularnewline
0.18 & 109.128854343994 & 1.05721444006035 \tabularnewline
0.19 & 109.477102348747 & 1.06554575054374 \tabularnewline
0.2 & 109.818233168414 & 1.05633085590039 \tabularnewline
0.21 & 110.148524622644 & 1.02979485147365 \tabularnewline
0.22 & 110.464578174917 & 0.99394045240474 \tabularnewline
0.23 & 110.765080938287 & 0.957638528911382 \tabularnewline
0.24 & 111.050859766041 & 0.92716080247988 \tabularnewline
0.25 & 111.323953407837 & 0.903798883990378 \tabularnewline
0.26 & 111.586526806899 & 0.88546658429524 \tabularnewline
0.27 & 111.840155999108 & 0.868853833418625 \tabularnewline
0.28 & 112.085608162220 & 0.851344610600667 \tabularnewline
0.29 & 112.322947228343 & 0.831650264547387 \tabularnewline
0.3 & 112.551714249470 & 0.808260585991834 \tabularnewline
0.31 & 112.771035677535 & 0.78038530325301 \tabularnewline
0.32 & 112.979678079512 & 0.745877266581972 \tabularnewline
0.33 & 113.176161724961 & 0.704286677947667 \tabularnewline
0.34 & 113.359012907345 & 0.655531616219595 \tabularnewline
0.35 & 113.527122106639 & 0.602074582337538 \tabularnewline
0.36 & 113.680078766771 & 0.547484427992603 \tabularnewline
0.37 & 113.818342999323 & 0.495606212505386 \tabularnewline
0.38 & 113.943189323655 & 0.449723025347795 \tabularnewline
0.39 & 114.056461695700 & 0.411647675788468 \tabularnewline
0.4 & 114.160249779603 & 0.381740788284663 \tabularnewline
0.41 & 114.256604421881 & 0.359092677362242 \tabularnewline
0.42 & 114.347367693618 & 0.342456852338046 \tabularnewline
0.43 & 114.434133323089 & 0.331299782338314 \tabularnewline
0.44 & 114.518306361837 & 0.324853602247244 \tabularnewline
0.45 & 114.601208434875 & 0.323156864238738 \tabularnewline
0.46 & 114.684173632547 & 0.326806087298345 \tabularnewline
0.47 & 114.768591625045 & 0.335819160808578 \tabularnewline
0.48 & 114.855873238173 & 0.350677327834860 \tabularnewline
0.49 & 114.947337466674 & 0.370552871143026 \tabularnewline
0.5 & 115.044045458236 & 0.394074975715386 \tabularnewline
0.51 & 115.146630425625 & 0.418850602350653 \tabularnewline
0.52 & 115.255183648242 & 0.442716403404624 \tabularnewline
0.53 & 115.369248011431 & 0.462858667823141 \tabularnewline
0.54 & 115.487940918228 & 0.478299498838015 \tabularnewline
0.55 & 115.610185958434 & 0.488546636502528 \tabularnewline
0.56 & 115.734992131747 & 0.494868309829583 \tabularnewline
0.57 & 115.861696134032 & 0.499064662596 \tabularnewline
0.58 & 115.990087251719 & 0.503278088280478 \tabularnewline
0.59 & 116.120366802281 & 0.509252137011645 \tabularnewline
0.6 & 116.252946642708 & 0.517207498528011 \tabularnewline
0.61 & 116.388148784826 & 0.526423726294538 \tabularnewline
0.62 & 116.525911582444 & 0.534447337192166 \tabularnewline
0.63 & 116.665619234475 & 0.538599801906682 \tabularnewline
0.64 & 116.806140157690 & 0.536745533696067 \tabularnewline
0.65 & 116.946090871575 & 0.528635047095607 \tabularnewline
0.66 & 117.084258381855 & 0.515205221904967 \tabularnewline
0.67 & 117.220050544639 & 0.500255293605175 \tabularnewline
0.68 & 117.353831334231 & 0.487959966161079 \tabularnewline
0.69 & 117.487045185577 & 0.482751699715364 \tabularnewline
0.7 & 117.622121034090 & 0.487911422363211 \tabularnewline
0.71 & 117.762231960666 & 0.505201830720559 \tabularnewline
0.72 & 117.911032097175 & 0.535493508761055 \tabularnewline
0.73 & 118.072481696090 & 0.578412567790426 \tabularnewline
0.74 & 118.250813154321 & 0.634366581652945 \tabularnewline
0.75 & 118.450610386077 & 0.70417287233712 \tabularnewline
0.76 & 118.676898923148 & 0.788626458234448 \tabularnewline
0.77 & 118.935100070046 & 0.888161315563943 \tabularnewline
0.78 & 119.230716373187 & 1.00190394080909 \tabularnewline
0.79 & 119.568712615157 & 1.12615037118045 \tabularnewline
0.8 & 119.952733339200 & 1.25414957204514 \tabularnewline
0.81 & 120.384480712586 & 1.37763575098344 \tabularnewline
0.82 & 120.863607286616 & 1.48914066060676 \tabularnewline
0.83 & 121.388195686776 & 1.58454411361446 \tabularnewline
0.84 & 121.955328685529 & 1.66303067629349 \tabularnewline
0.85 & 122.560791395629 & 1.72271182566076 \tabularnewline
0.86 & 123.197254470817 & 1.75504238373369 \tabularnewline
0.87 & 123.851744221032 & 1.74265113180597 \tabularnewline
0.88 & 124.505138488660 & 1.66824497133135 \tabularnewline
0.89 & 125.136856968201 & 1.53291541077921 \tabularnewline
0.9 & 125.734726510773 & 1.36916402002356 \tabularnewline
0.91 & 126.303737054264 & 1.23372728243488 \tabularnewline
0.92 & 126.863933367129 & 1.16512396007834 \tabularnewline
0.93 & 127.436157746819 & 1.13794805829454 \tabularnewline
0.94 & 128.035454637779 & 1.10105472996075 \tabularnewline
0.95 & 128.700547222586 & 1.10154037265865 \tabularnewline
0.96 & 129.537736307429 & 1.30791680178542 \tabularnewline
0.97 & 130.664174550274 & 1.63479580166630 \tabularnewline
0.98 & 132.002636317728 & 1.56067979084331 \tabularnewline
0.99 & 133.219253706097 & 0.934087134858817 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82777&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]96.5819260226425[/C][C]0.68776241238993[/C][/ROW]
[ROW][C]0.02[/C][C]97.519187137191[/C][C]1.29082111484781[/C][/ROW]
[ROW][C]0.03[/C][C]98.699679864506[/C][C]1.63654486505400[/C][/ROW]
[ROW][C]0.04[/C][C]99.8974295608682[/C][C]1.66514008715613[/C][/ROW]
[ROW][C]0.05[/C][C]100.975679147314[/C][C]1.6061302260608[/C][/ROW]
[ROW][C]0.06[/C][C]101.928095201016[/C][C]1.59744513061675[/C][/ROW]
[ROW][C]0.07[/C][C]102.795955199248[/C][C]1.61565571503755[/C][/ROW]
[ROW][C]0.08[/C][C]103.608628248148[/C][C]1.62945526997352[/C][/ROW]
[ROW][C]0.09[/C][C]104.379970030471[/C][C]1.64848857591137[/C][/ROW]
[ROW][C]0.1[/C][C]105.116916290210[/C][C]1.66656454175957[/C][/ROW]
[ROW][C]0.11[/C][C]105.817568641305[/C][C]1.64475949082792[/C][/ROW]
[ROW][C]0.12[/C][C]106.468943396956[/C][C]1.55241226652731[/C][/ROW]
[ROW][C]0.13[/C][C]107.054444653600[/C][C]1.40120060766387[/C][/ROW]
[ROW][C]0.14[/C][C]107.566027903749[/C][C]1.23813682096428[/C][/ROW]
[ROW][C]0.15[/C][C]108.010551621116[/C][C]1.11414729571184[/C][/ROW]
[ROW][C]0.16[/C][C]108.406331000821[/C][C]1.05313689264454[/C][/ROW]
[ROW][C]0.17[/C][C]108.774069340057[/C][C]1.04425841070395[/C][/ROW]
[ROW][C]0.18[/C][C]109.128854343994[/C][C]1.05721444006035[/C][/ROW]
[ROW][C]0.19[/C][C]109.477102348747[/C][C]1.06554575054374[/C][/ROW]
[ROW][C]0.2[/C][C]109.818233168414[/C][C]1.05633085590039[/C][/ROW]
[ROW][C]0.21[/C][C]110.148524622644[/C][C]1.02979485147365[/C][/ROW]
[ROW][C]0.22[/C][C]110.464578174917[/C][C]0.99394045240474[/C][/ROW]
[ROW][C]0.23[/C][C]110.765080938287[/C][C]0.957638528911382[/C][/ROW]
[ROW][C]0.24[/C][C]111.050859766041[/C][C]0.92716080247988[/C][/ROW]
[ROW][C]0.25[/C][C]111.323953407837[/C][C]0.903798883990378[/C][/ROW]
[ROW][C]0.26[/C][C]111.586526806899[/C][C]0.88546658429524[/C][/ROW]
[ROW][C]0.27[/C][C]111.840155999108[/C][C]0.868853833418625[/C][/ROW]
[ROW][C]0.28[/C][C]112.085608162220[/C][C]0.851344610600667[/C][/ROW]
[ROW][C]0.29[/C][C]112.322947228343[/C][C]0.831650264547387[/C][/ROW]
[ROW][C]0.3[/C][C]112.551714249470[/C][C]0.808260585991834[/C][/ROW]
[ROW][C]0.31[/C][C]112.771035677535[/C][C]0.78038530325301[/C][/ROW]
[ROW][C]0.32[/C][C]112.979678079512[/C][C]0.745877266581972[/C][/ROW]
[ROW][C]0.33[/C][C]113.176161724961[/C][C]0.704286677947667[/C][/ROW]
[ROW][C]0.34[/C][C]113.359012907345[/C][C]0.655531616219595[/C][/ROW]
[ROW][C]0.35[/C][C]113.527122106639[/C][C]0.602074582337538[/C][/ROW]
[ROW][C]0.36[/C][C]113.680078766771[/C][C]0.547484427992603[/C][/ROW]
[ROW][C]0.37[/C][C]113.818342999323[/C][C]0.495606212505386[/C][/ROW]
[ROW][C]0.38[/C][C]113.943189323655[/C][C]0.449723025347795[/C][/ROW]
[ROW][C]0.39[/C][C]114.056461695700[/C][C]0.411647675788468[/C][/ROW]
[ROW][C]0.4[/C][C]114.160249779603[/C][C]0.381740788284663[/C][/ROW]
[ROW][C]0.41[/C][C]114.256604421881[/C][C]0.359092677362242[/C][/ROW]
[ROW][C]0.42[/C][C]114.347367693618[/C][C]0.342456852338046[/C][/ROW]
[ROW][C]0.43[/C][C]114.434133323089[/C][C]0.331299782338314[/C][/ROW]
[ROW][C]0.44[/C][C]114.518306361837[/C][C]0.324853602247244[/C][/ROW]
[ROW][C]0.45[/C][C]114.601208434875[/C][C]0.323156864238738[/C][/ROW]
[ROW][C]0.46[/C][C]114.684173632547[/C][C]0.326806087298345[/C][/ROW]
[ROW][C]0.47[/C][C]114.768591625045[/C][C]0.335819160808578[/C][/ROW]
[ROW][C]0.48[/C][C]114.855873238173[/C][C]0.350677327834860[/C][/ROW]
[ROW][C]0.49[/C][C]114.947337466674[/C][C]0.370552871143026[/C][/ROW]
[ROW][C]0.5[/C][C]115.044045458236[/C][C]0.394074975715386[/C][/ROW]
[ROW][C]0.51[/C][C]115.146630425625[/C][C]0.418850602350653[/C][/ROW]
[ROW][C]0.52[/C][C]115.255183648242[/C][C]0.442716403404624[/C][/ROW]
[ROW][C]0.53[/C][C]115.369248011431[/C][C]0.462858667823141[/C][/ROW]
[ROW][C]0.54[/C][C]115.487940918228[/C][C]0.478299498838015[/C][/ROW]
[ROW][C]0.55[/C][C]115.610185958434[/C][C]0.488546636502528[/C][/ROW]
[ROW][C]0.56[/C][C]115.734992131747[/C][C]0.494868309829583[/C][/ROW]
[ROW][C]0.57[/C][C]115.861696134032[/C][C]0.499064662596[/C][/ROW]
[ROW][C]0.58[/C][C]115.990087251719[/C][C]0.503278088280478[/C][/ROW]
[ROW][C]0.59[/C][C]116.120366802281[/C][C]0.509252137011645[/C][/ROW]
[ROW][C]0.6[/C][C]116.252946642708[/C][C]0.517207498528011[/C][/ROW]
[ROW][C]0.61[/C][C]116.388148784826[/C][C]0.526423726294538[/C][/ROW]
[ROW][C]0.62[/C][C]116.525911582444[/C][C]0.534447337192166[/C][/ROW]
[ROW][C]0.63[/C][C]116.665619234475[/C][C]0.538599801906682[/C][/ROW]
[ROW][C]0.64[/C][C]116.806140157690[/C][C]0.536745533696067[/C][/ROW]
[ROW][C]0.65[/C][C]116.946090871575[/C][C]0.528635047095607[/C][/ROW]
[ROW][C]0.66[/C][C]117.084258381855[/C][C]0.515205221904967[/C][/ROW]
[ROW][C]0.67[/C][C]117.220050544639[/C][C]0.500255293605175[/C][/ROW]
[ROW][C]0.68[/C][C]117.353831334231[/C][C]0.487959966161079[/C][/ROW]
[ROW][C]0.69[/C][C]117.487045185577[/C][C]0.482751699715364[/C][/ROW]
[ROW][C]0.7[/C][C]117.622121034090[/C][C]0.487911422363211[/C][/ROW]
[ROW][C]0.71[/C][C]117.762231960666[/C][C]0.505201830720559[/C][/ROW]
[ROW][C]0.72[/C][C]117.911032097175[/C][C]0.535493508761055[/C][/ROW]
[ROW][C]0.73[/C][C]118.072481696090[/C][C]0.578412567790426[/C][/ROW]
[ROW][C]0.74[/C][C]118.250813154321[/C][C]0.634366581652945[/C][/ROW]
[ROW][C]0.75[/C][C]118.450610386077[/C][C]0.70417287233712[/C][/ROW]
[ROW][C]0.76[/C][C]118.676898923148[/C][C]0.788626458234448[/C][/ROW]
[ROW][C]0.77[/C][C]118.935100070046[/C][C]0.888161315563943[/C][/ROW]
[ROW][C]0.78[/C][C]119.230716373187[/C][C]1.00190394080909[/C][/ROW]
[ROW][C]0.79[/C][C]119.568712615157[/C][C]1.12615037118045[/C][/ROW]
[ROW][C]0.8[/C][C]119.952733339200[/C][C]1.25414957204514[/C][/ROW]
[ROW][C]0.81[/C][C]120.384480712586[/C][C]1.37763575098344[/C][/ROW]
[ROW][C]0.82[/C][C]120.863607286616[/C][C]1.48914066060676[/C][/ROW]
[ROW][C]0.83[/C][C]121.388195686776[/C][C]1.58454411361446[/C][/ROW]
[ROW][C]0.84[/C][C]121.955328685529[/C][C]1.66303067629349[/C][/ROW]
[ROW][C]0.85[/C][C]122.560791395629[/C][C]1.72271182566076[/C][/ROW]
[ROW][C]0.86[/C][C]123.197254470817[/C][C]1.75504238373369[/C][/ROW]
[ROW][C]0.87[/C][C]123.851744221032[/C][C]1.74265113180597[/C][/ROW]
[ROW][C]0.88[/C][C]124.505138488660[/C][C]1.66824497133135[/C][/ROW]
[ROW][C]0.89[/C][C]125.136856968201[/C][C]1.53291541077921[/C][/ROW]
[ROW][C]0.9[/C][C]125.734726510773[/C][C]1.36916402002356[/C][/ROW]
[ROW][C]0.91[/C][C]126.303737054264[/C][C]1.23372728243488[/C][/ROW]
[ROW][C]0.92[/C][C]126.863933367129[/C][C]1.16512396007834[/C][/ROW]
[ROW][C]0.93[/C][C]127.436157746819[/C][C]1.13794805829454[/C][/ROW]
[ROW][C]0.94[/C][C]128.035454637779[/C][C]1.10105472996075[/C][/ROW]
[ROW][C]0.95[/C][C]128.700547222586[/C][C]1.10154037265865[/C][/ROW]
[ROW][C]0.96[/C][C]129.537736307429[/C][C]1.30791680178542[/C][/ROW]
[ROW][C]0.97[/C][C]130.664174550274[/C][C]1.63479580166630[/C][/ROW]
[ROW][C]0.98[/C][C]132.002636317728[/C][C]1.56067979084331[/C][/ROW]
[ROW][C]0.99[/C][C]133.219253706097[/C][C]0.934087134858817[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82777&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82777&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
0.0196.58192602264250.68776241238993
0.0297.5191871371911.29082111484781
0.0398.6996798645061.63654486505400
0.0499.89742956086821.66514008715613
0.05100.9756791473141.6061302260608
0.06101.9280952010161.59744513061675
0.07102.7959551992481.61565571503755
0.08103.6086282481481.62945526997352
0.09104.3799700304711.64848857591137
0.1105.1169162902101.66656454175957
0.11105.8175686413051.64475949082792
0.12106.4689433969561.55241226652731
0.13107.0544446536001.40120060766387
0.14107.5660279037491.23813682096428
0.15108.0105516211161.11414729571184
0.16108.4063310008211.05313689264454
0.17108.7740693400571.04425841070395
0.18109.1288543439941.05721444006035
0.19109.4771023487471.06554575054374
0.2109.8182331684141.05633085590039
0.21110.1485246226441.02979485147365
0.22110.4645781749170.99394045240474
0.23110.7650809382870.957638528911382
0.24111.0508597660410.92716080247988
0.25111.3239534078370.903798883990378
0.26111.5865268068990.88546658429524
0.27111.8401559991080.868853833418625
0.28112.0856081622200.851344610600667
0.29112.3229472283430.831650264547387
0.3112.5517142494700.808260585991834
0.31112.7710356775350.78038530325301
0.32112.9796780795120.745877266581972
0.33113.1761617249610.704286677947667
0.34113.3590129073450.655531616219595
0.35113.5271221066390.602074582337538
0.36113.6800787667710.547484427992603
0.37113.8183429993230.495606212505386
0.38113.9431893236550.449723025347795
0.39114.0564616957000.411647675788468
0.4114.1602497796030.381740788284663
0.41114.2566044218810.359092677362242
0.42114.3473676936180.342456852338046
0.43114.4341333230890.331299782338314
0.44114.5183063618370.324853602247244
0.45114.6012084348750.323156864238738
0.46114.6841736325470.326806087298345
0.47114.7685916250450.335819160808578
0.48114.8558732381730.350677327834860
0.49114.9473374666740.370552871143026
0.5115.0440454582360.394074975715386
0.51115.1466304256250.418850602350653
0.52115.2551836482420.442716403404624
0.53115.3692480114310.462858667823141
0.54115.4879409182280.478299498838015
0.55115.6101859584340.488546636502528
0.56115.7349921317470.494868309829583
0.57115.8616961340320.499064662596
0.58115.9900872517190.503278088280478
0.59116.1203668022810.509252137011645
0.6116.2529466427080.517207498528011
0.61116.3881487848260.526423726294538
0.62116.5259115824440.534447337192166
0.63116.6656192344750.538599801906682
0.64116.8061401576900.536745533696067
0.65116.9460908715750.528635047095607
0.66117.0842583818550.515205221904967
0.67117.2200505446390.500255293605175
0.68117.3538313342310.487959966161079
0.69117.4870451855770.482751699715364
0.7117.6221210340900.487911422363211
0.71117.7622319606660.505201830720559
0.72117.9110320971750.535493508761055
0.73118.0724816960900.578412567790426
0.74118.2508131543210.634366581652945
0.75118.4506103860770.70417287233712
0.76118.6768989231480.788626458234448
0.77118.9351000700460.888161315563943
0.78119.2307163731871.00190394080909
0.79119.5687126151571.12615037118045
0.8119.9527333392001.25414957204514
0.81120.3844807125861.37763575098344
0.82120.8636072866161.48914066060676
0.83121.3881956867761.58454411361446
0.84121.9553286855291.66303067629349
0.85122.5607913956291.72271182566076
0.86123.1972544708171.75504238373369
0.87123.8517442210321.74265113180597
0.88124.5051384886601.66824497133135
0.89125.1368569682011.53291541077921
0.9125.7347265107731.36916402002356
0.91126.3037370542641.23372728243488
0.92126.8639333671291.16512396007834
0.93127.4361577468191.13794805829454
0.94128.0354546377791.10105472996075
0.95128.7005472225861.10154037265865
0.96129.5377363074291.30791680178542
0.97130.6641745502741.63479580166630
0.98132.0026363177281.56067979084331
0.99133.2192537060970.934087134858817


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')