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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 computationSun, 07 Oct 2012 08:36:22 -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/2012/Oct/07/t1349613447hkcupmkbckib0ro.htm/, Retrieved Sat, 04 May 2024 14:04:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172863, Retrieved Sat, 04 May 2024 14:04:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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] [Consumptieprijzen...] [2012-10-07 12:36:22] [0bad526123a64cc9f33318d2fc48f385] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104,42
104,42
104,42
104,42
104,42
104,42
104,42
104,44
104,44
104,44
105,19
105,19
105,19
106,38
106,38
106,38
106,38
106,38
106,38
106,72
106,73
106,72
108,6
108,6
109,65
109,65
109,65
109,65
109,65
109,65
109,65
109,65
112,27
112,27
112,27
112,27
112,27
114,98
114,98
114,98
114,98
114,98
114,98
116,04
116,59
116,59
116,59
116,59
118,75
118,75
118,75
118,75
118,75
118,75
118,75
119,31
119,31
119,31
119,31
119,31
121,19
121,19
121,19
121,19
121,19
122,91
122,91
122,91
122,91
122,91
122,91
122,91

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172863&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172863&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172863&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01104.4200122562787.87142111798324e-05
0.02104.4200991255060.00046113099282873
0.03104.4204660837880.0019022442014442
0.04104.4216248074260.0059986209889899
0.05104.4246158984950.0153394786404839
0.06104.431234394860.033426117064136
0.07104.4441591844780.0642069932809498
0.08104.4668783246730.110901313381868
0.09104.5033461114920.17460901075597
0.1104.557396506820.253767214028895
0.11104.6320341895510.343711647335183
0.12104.7287835026780.437373473492473
0.13104.8472702538110.526621494095978
0.14104.9851478448650.603453919751595
0.15105.1383884653220.661655919866267
0.16105.3018767365140.69771719295677
0.17105.4701882754060.711296404909615
0.18105.63841275370.705734919253869
0.19105.8028836965870.687463597055246
0.2105.9616982517540.665540062036325
0.21106.1149454480650.65050966193988
0.22106.26460840340.652564906602423
0.23106.414159614560.679052183167427
0.24106.56792035880.732322236839253
0.25106.7302952408990.80898434780672
0.26106.9050128325970.90169831278346
0.27107.0944995513941.00054667749071
0.28107.2994879836911.09512479054281
0.29107.518918440481.17588785529307
0.3107.7501416577511.23557314465029
0.31107.9893799962731.26990108127968
0.32108.2323625773111.27848153978768
0.33108.4750233313231.26475641917635
0.34108.7141442265511.23556248472478
0.35108.9478398616221.20022341115054
0.36109.1758112147131.16913518404582
0.37109.3993392838521.15232065339582
0.38109.6210350970951.15725024960069
0.39109.8444022569011.18767598303558
0.4110.0732945857911.24269145252817
0.41110.3113605362031.3177464106049
0.42110.5615577509171.40582103829238
0.43110.8257991763251.49894670685129
0.44111.1047626952361.5893886961747
0.45111.3978664676641.67027130399615
0.46111.7033881497851.73629765930823
0.47112.0186915424121.78357878701274
0.48112.3405195447971.81016398902661
0.49112.6653153630741.81531684058505
0.5112.9895410004461.80010261300352
0.51113.3099694020281.76691813122028
0.52113.62393185681.7192253297448
0.53113.9295049792961.66162297543681
0.54114.2256231503951.59923036464281
0.55114.512104823561.53752944630982
0.56114.7895863448551.48156929249675
0.57115.0593653800121.43539863545083
0.58115.3231667077191.4013569855982
0.59115.5828540217521.37963218741747
0.6115.8401202675221.368483866361
0.61116.0961942163621.36419912600715
0.62116.3516015868451.36194671126944
0.63116.6060149022771.35614969667979
0.64116.8582176461751.34152167208739
0.65117.1061955341391.31361918496703
0.66117.347351590621.26951415781398
0.67117.5788237275871.20811995536996
0.68117.7978663671591.13065274544394
0.69118.0022450324631.04060435066506
0.7118.1905884800640.943212195827909
0.71118.3626490507610.845025148685658
0.72118.5194376345770.753193117985462
0.73118.663220638650.674819173840652
0.74118.7973859702890.61605661631761
0.75118.9261971918440.581615388238816
0.76119.0544575325830.573918984596803
0.77119.1871024228490.592566134010561
0.78119.3287400430210.633844552944576
0.79119.4831738925180.691584252969943
0.8119.6529721345640.757452244374909
0.81119.8391838126140.822199263402734
0.82120.0413153157260.876976721740888
0.83120.2576398215050.915339749531671
0.84120.4858011459330.93498063254372
0.85120.7235133197650.938706512765093
0.86120.9690199920080.933192856581465
0.87121.2209671241040.925444015392843
0.88121.4775399145850.917115656861209
0.89121.7351059166780.900885263852137
0.9121.9870316649860.862584597291891
0.91122.2235300275020.7882107494115
0.92122.43311302640.672722645480842
0.93122.6054658734130.525090620266098
0.94122.7346664016320.366697606052906
0.95122.8212213678150.223283873186757
0.96122.8718057117210.114531511119872
0.97122.8967629061740.0469584387960742
0.98122.9066471421590.0139750894844579
0.99122.9095143692520.00236023347127329

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 104.420012256278 & 7.87142111798324e-05 \tabularnewline
0.02 & 104.420099125506 & 0.00046113099282873 \tabularnewline
0.03 & 104.420466083788 & 0.0019022442014442 \tabularnewline
0.04 & 104.421624807426 & 0.0059986209889899 \tabularnewline
0.05 & 104.424615898495 & 0.0153394786404839 \tabularnewline
0.06 & 104.43123439486 & 0.033426117064136 \tabularnewline
0.07 & 104.444159184478 & 0.0642069932809498 \tabularnewline
0.08 & 104.466878324673 & 0.110901313381868 \tabularnewline
0.09 & 104.503346111492 & 0.17460901075597 \tabularnewline
0.1 & 104.55739650682 & 0.253767214028895 \tabularnewline
0.11 & 104.632034189551 & 0.343711647335183 \tabularnewline
0.12 & 104.728783502678 & 0.437373473492473 \tabularnewline
0.13 & 104.847270253811 & 0.526621494095978 \tabularnewline
0.14 & 104.985147844865 & 0.603453919751595 \tabularnewline
0.15 & 105.138388465322 & 0.661655919866267 \tabularnewline
0.16 & 105.301876736514 & 0.69771719295677 \tabularnewline
0.17 & 105.470188275406 & 0.711296404909615 \tabularnewline
0.18 & 105.6384127537 & 0.705734919253869 \tabularnewline
0.19 & 105.802883696587 & 0.687463597055246 \tabularnewline
0.2 & 105.961698251754 & 0.665540062036325 \tabularnewline
0.21 & 106.114945448065 & 0.65050966193988 \tabularnewline
0.22 & 106.2646084034 & 0.652564906602423 \tabularnewline
0.23 & 106.41415961456 & 0.679052183167427 \tabularnewline
0.24 & 106.5679203588 & 0.732322236839253 \tabularnewline
0.25 & 106.730295240899 & 0.80898434780672 \tabularnewline
0.26 & 106.905012832597 & 0.90169831278346 \tabularnewline
0.27 & 107.094499551394 & 1.00054667749071 \tabularnewline
0.28 & 107.299487983691 & 1.09512479054281 \tabularnewline
0.29 & 107.51891844048 & 1.17588785529307 \tabularnewline
0.3 & 107.750141657751 & 1.23557314465029 \tabularnewline
0.31 & 107.989379996273 & 1.26990108127968 \tabularnewline
0.32 & 108.232362577311 & 1.27848153978768 \tabularnewline
0.33 & 108.475023331323 & 1.26475641917635 \tabularnewline
0.34 & 108.714144226551 & 1.23556248472478 \tabularnewline
0.35 & 108.947839861622 & 1.20022341115054 \tabularnewline
0.36 & 109.175811214713 & 1.16913518404582 \tabularnewline
0.37 & 109.399339283852 & 1.15232065339582 \tabularnewline
0.38 & 109.621035097095 & 1.15725024960069 \tabularnewline
0.39 & 109.844402256901 & 1.18767598303558 \tabularnewline
0.4 & 110.073294585791 & 1.24269145252817 \tabularnewline
0.41 & 110.311360536203 & 1.3177464106049 \tabularnewline
0.42 & 110.561557750917 & 1.40582103829238 \tabularnewline
0.43 & 110.825799176325 & 1.49894670685129 \tabularnewline
0.44 & 111.104762695236 & 1.5893886961747 \tabularnewline
0.45 & 111.397866467664 & 1.67027130399615 \tabularnewline
0.46 & 111.703388149785 & 1.73629765930823 \tabularnewline
0.47 & 112.018691542412 & 1.78357878701274 \tabularnewline
0.48 & 112.340519544797 & 1.81016398902661 \tabularnewline
0.49 & 112.665315363074 & 1.81531684058505 \tabularnewline
0.5 & 112.989541000446 & 1.80010261300352 \tabularnewline
0.51 & 113.309969402028 & 1.76691813122028 \tabularnewline
0.52 & 113.6239318568 & 1.7192253297448 \tabularnewline
0.53 & 113.929504979296 & 1.66162297543681 \tabularnewline
0.54 & 114.225623150395 & 1.59923036464281 \tabularnewline
0.55 & 114.51210482356 & 1.53752944630982 \tabularnewline
0.56 & 114.789586344855 & 1.48156929249675 \tabularnewline
0.57 & 115.059365380012 & 1.43539863545083 \tabularnewline
0.58 & 115.323166707719 & 1.4013569855982 \tabularnewline
0.59 & 115.582854021752 & 1.37963218741747 \tabularnewline
0.6 & 115.840120267522 & 1.368483866361 \tabularnewline
0.61 & 116.096194216362 & 1.36419912600715 \tabularnewline
0.62 & 116.351601586845 & 1.36194671126944 \tabularnewline
0.63 & 116.606014902277 & 1.35614969667979 \tabularnewline
0.64 & 116.858217646175 & 1.34152167208739 \tabularnewline
0.65 & 117.106195534139 & 1.31361918496703 \tabularnewline
0.66 & 117.34735159062 & 1.26951415781398 \tabularnewline
0.67 & 117.578823727587 & 1.20811995536996 \tabularnewline
0.68 & 117.797866367159 & 1.13065274544394 \tabularnewline
0.69 & 118.002245032463 & 1.04060435066506 \tabularnewline
0.7 & 118.190588480064 & 0.943212195827909 \tabularnewline
0.71 & 118.362649050761 & 0.845025148685658 \tabularnewline
0.72 & 118.519437634577 & 0.753193117985462 \tabularnewline
0.73 & 118.66322063865 & 0.674819173840652 \tabularnewline
0.74 & 118.797385970289 & 0.61605661631761 \tabularnewline
0.75 & 118.926197191844 & 0.581615388238816 \tabularnewline
0.76 & 119.054457532583 & 0.573918984596803 \tabularnewline
0.77 & 119.187102422849 & 0.592566134010561 \tabularnewline
0.78 & 119.328740043021 & 0.633844552944576 \tabularnewline
0.79 & 119.483173892518 & 0.691584252969943 \tabularnewline
0.8 & 119.652972134564 & 0.757452244374909 \tabularnewline
0.81 & 119.839183812614 & 0.822199263402734 \tabularnewline
0.82 & 120.041315315726 & 0.876976721740888 \tabularnewline
0.83 & 120.257639821505 & 0.915339749531671 \tabularnewline
0.84 & 120.485801145933 & 0.93498063254372 \tabularnewline
0.85 & 120.723513319765 & 0.938706512765093 \tabularnewline
0.86 & 120.969019992008 & 0.933192856581465 \tabularnewline
0.87 & 121.220967124104 & 0.925444015392843 \tabularnewline
0.88 & 121.477539914585 & 0.917115656861209 \tabularnewline
0.89 & 121.735105916678 & 0.900885263852137 \tabularnewline
0.9 & 121.987031664986 & 0.862584597291891 \tabularnewline
0.91 & 122.223530027502 & 0.7882107494115 \tabularnewline
0.92 & 122.4331130264 & 0.672722645480842 \tabularnewline
0.93 & 122.605465873413 & 0.525090620266098 \tabularnewline
0.94 & 122.734666401632 & 0.366697606052906 \tabularnewline
0.95 & 122.821221367815 & 0.223283873186757 \tabularnewline
0.96 & 122.871805711721 & 0.114531511119872 \tabularnewline
0.97 & 122.896762906174 & 0.0469584387960742 \tabularnewline
0.98 & 122.906647142159 & 0.0139750894844579 \tabularnewline
0.99 & 122.909514369252 & 0.00236023347127329 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172863&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]104.420012256278[/C][C]7.87142111798324e-05[/C][/ROW]
[ROW][C]0.02[/C][C]104.420099125506[/C][C]0.00046113099282873[/C][/ROW]
[ROW][C]0.03[/C][C]104.420466083788[/C][C]0.0019022442014442[/C][/ROW]
[ROW][C]0.04[/C][C]104.421624807426[/C][C]0.0059986209889899[/C][/ROW]
[ROW][C]0.05[/C][C]104.424615898495[/C][C]0.0153394786404839[/C][/ROW]
[ROW][C]0.06[/C][C]104.43123439486[/C][C]0.033426117064136[/C][/ROW]
[ROW][C]0.07[/C][C]104.444159184478[/C][C]0.0642069932809498[/C][/ROW]
[ROW][C]0.08[/C][C]104.466878324673[/C][C]0.110901313381868[/C][/ROW]
[ROW][C]0.09[/C][C]104.503346111492[/C][C]0.17460901075597[/C][/ROW]
[ROW][C]0.1[/C][C]104.55739650682[/C][C]0.253767214028895[/C][/ROW]
[ROW][C]0.11[/C][C]104.632034189551[/C][C]0.343711647335183[/C][/ROW]
[ROW][C]0.12[/C][C]104.728783502678[/C][C]0.437373473492473[/C][/ROW]
[ROW][C]0.13[/C][C]104.847270253811[/C][C]0.526621494095978[/C][/ROW]
[ROW][C]0.14[/C][C]104.985147844865[/C][C]0.603453919751595[/C][/ROW]
[ROW][C]0.15[/C][C]105.138388465322[/C][C]0.661655919866267[/C][/ROW]
[ROW][C]0.16[/C][C]105.301876736514[/C][C]0.69771719295677[/C][/ROW]
[ROW][C]0.17[/C][C]105.470188275406[/C][C]0.711296404909615[/C][/ROW]
[ROW][C]0.18[/C][C]105.6384127537[/C][C]0.705734919253869[/C][/ROW]
[ROW][C]0.19[/C][C]105.802883696587[/C][C]0.687463597055246[/C][/ROW]
[ROW][C]0.2[/C][C]105.961698251754[/C][C]0.665540062036325[/C][/ROW]
[ROW][C]0.21[/C][C]106.114945448065[/C][C]0.65050966193988[/C][/ROW]
[ROW][C]0.22[/C][C]106.2646084034[/C][C]0.652564906602423[/C][/ROW]
[ROW][C]0.23[/C][C]106.41415961456[/C][C]0.679052183167427[/C][/ROW]
[ROW][C]0.24[/C][C]106.5679203588[/C][C]0.732322236839253[/C][/ROW]
[ROW][C]0.25[/C][C]106.730295240899[/C][C]0.80898434780672[/C][/ROW]
[ROW][C]0.26[/C][C]106.905012832597[/C][C]0.90169831278346[/C][/ROW]
[ROW][C]0.27[/C][C]107.094499551394[/C][C]1.00054667749071[/C][/ROW]
[ROW][C]0.28[/C][C]107.299487983691[/C][C]1.09512479054281[/C][/ROW]
[ROW][C]0.29[/C][C]107.51891844048[/C][C]1.17588785529307[/C][/ROW]
[ROW][C]0.3[/C][C]107.750141657751[/C][C]1.23557314465029[/C][/ROW]
[ROW][C]0.31[/C][C]107.989379996273[/C][C]1.26990108127968[/C][/ROW]
[ROW][C]0.32[/C][C]108.232362577311[/C][C]1.27848153978768[/C][/ROW]
[ROW][C]0.33[/C][C]108.475023331323[/C][C]1.26475641917635[/C][/ROW]
[ROW][C]0.34[/C][C]108.714144226551[/C][C]1.23556248472478[/C][/ROW]
[ROW][C]0.35[/C][C]108.947839861622[/C][C]1.20022341115054[/C][/ROW]
[ROW][C]0.36[/C][C]109.175811214713[/C][C]1.16913518404582[/C][/ROW]
[ROW][C]0.37[/C][C]109.399339283852[/C][C]1.15232065339582[/C][/ROW]
[ROW][C]0.38[/C][C]109.621035097095[/C][C]1.15725024960069[/C][/ROW]
[ROW][C]0.39[/C][C]109.844402256901[/C][C]1.18767598303558[/C][/ROW]
[ROW][C]0.4[/C][C]110.073294585791[/C][C]1.24269145252817[/C][/ROW]
[ROW][C]0.41[/C][C]110.311360536203[/C][C]1.3177464106049[/C][/ROW]
[ROW][C]0.42[/C][C]110.561557750917[/C][C]1.40582103829238[/C][/ROW]
[ROW][C]0.43[/C][C]110.825799176325[/C][C]1.49894670685129[/C][/ROW]
[ROW][C]0.44[/C][C]111.104762695236[/C][C]1.5893886961747[/C][/ROW]
[ROW][C]0.45[/C][C]111.397866467664[/C][C]1.67027130399615[/C][/ROW]
[ROW][C]0.46[/C][C]111.703388149785[/C][C]1.73629765930823[/C][/ROW]
[ROW][C]0.47[/C][C]112.018691542412[/C][C]1.78357878701274[/C][/ROW]
[ROW][C]0.48[/C][C]112.340519544797[/C][C]1.81016398902661[/C][/ROW]
[ROW][C]0.49[/C][C]112.665315363074[/C][C]1.81531684058505[/C][/ROW]
[ROW][C]0.5[/C][C]112.989541000446[/C][C]1.80010261300352[/C][/ROW]
[ROW][C]0.51[/C][C]113.309969402028[/C][C]1.76691813122028[/C][/ROW]
[ROW][C]0.52[/C][C]113.6239318568[/C][C]1.7192253297448[/C][/ROW]
[ROW][C]0.53[/C][C]113.929504979296[/C][C]1.66162297543681[/C][/ROW]
[ROW][C]0.54[/C][C]114.225623150395[/C][C]1.59923036464281[/C][/ROW]
[ROW][C]0.55[/C][C]114.51210482356[/C][C]1.53752944630982[/C][/ROW]
[ROW][C]0.56[/C][C]114.789586344855[/C][C]1.48156929249675[/C][/ROW]
[ROW][C]0.57[/C][C]115.059365380012[/C][C]1.43539863545083[/C][/ROW]
[ROW][C]0.58[/C][C]115.323166707719[/C][C]1.4013569855982[/C][/ROW]
[ROW][C]0.59[/C][C]115.582854021752[/C][C]1.37963218741747[/C][/ROW]
[ROW][C]0.6[/C][C]115.840120267522[/C][C]1.368483866361[/C][/ROW]
[ROW][C]0.61[/C][C]116.096194216362[/C][C]1.36419912600715[/C][/ROW]
[ROW][C]0.62[/C][C]116.351601586845[/C][C]1.36194671126944[/C][/ROW]
[ROW][C]0.63[/C][C]116.606014902277[/C][C]1.35614969667979[/C][/ROW]
[ROW][C]0.64[/C][C]116.858217646175[/C][C]1.34152167208739[/C][/ROW]
[ROW][C]0.65[/C][C]117.106195534139[/C][C]1.31361918496703[/C][/ROW]
[ROW][C]0.66[/C][C]117.34735159062[/C][C]1.26951415781398[/C][/ROW]
[ROW][C]0.67[/C][C]117.578823727587[/C][C]1.20811995536996[/C][/ROW]
[ROW][C]0.68[/C][C]117.797866367159[/C][C]1.13065274544394[/C][/ROW]
[ROW][C]0.69[/C][C]118.002245032463[/C][C]1.04060435066506[/C][/ROW]
[ROW][C]0.7[/C][C]118.190588480064[/C][C]0.943212195827909[/C][/ROW]
[ROW][C]0.71[/C][C]118.362649050761[/C][C]0.845025148685658[/C][/ROW]
[ROW][C]0.72[/C][C]118.519437634577[/C][C]0.753193117985462[/C][/ROW]
[ROW][C]0.73[/C][C]118.66322063865[/C][C]0.674819173840652[/C][/ROW]
[ROW][C]0.74[/C][C]118.797385970289[/C][C]0.61605661631761[/C][/ROW]
[ROW][C]0.75[/C][C]118.926197191844[/C][C]0.581615388238816[/C][/ROW]
[ROW][C]0.76[/C][C]119.054457532583[/C][C]0.573918984596803[/C][/ROW]
[ROW][C]0.77[/C][C]119.187102422849[/C][C]0.592566134010561[/C][/ROW]
[ROW][C]0.78[/C][C]119.328740043021[/C][C]0.633844552944576[/C][/ROW]
[ROW][C]0.79[/C][C]119.483173892518[/C][C]0.691584252969943[/C][/ROW]
[ROW][C]0.8[/C][C]119.652972134564[/C][C]0.757452244374909[/C][/ROW]
[ROW][C]0.81[/C][C]119.839183812614[/C][C]0.822199263402734[/C][/ROW]
[ROW][C]0.82[/C][C]120.041315315726[/C][C]0.876976721740888[/C][/ROW]
[ROW][C]0.83[/C][C]120.257639821505[/C][C]0.915339749531671[/C][/ROW]
[ROW][C]0.84[/C][C]120.485801145933[/C][C]0.93498063254372[/C][/ROW]
[ROW][C]0.85[/C][C]120.723513319765[/C][C]0.938706512765093[/C][/ROW]
[ROW][C]0.86[/C][C]120.969019992008[/C][C]0.933192856581465[/C][/ROW]
[ROW][C]0.87[/C][C]121.220967124104[/C][C]0.925444015392843[/C][/ROW]
[ROW][C]0.88[/C][C]121.477539914585[/C][C]0.917115656861209[/C][/ROW]
[ROW][C]0.89[/C][C]121.735105916678[/C][C]0.900885263852137[/C][/ROW]
[ROW][C]0.9[/C][C]121.987031664986[/C][C]0.862584597291891[/C][/ROW]
[ROW][C]0.91[/C][C]122.223530027502[/C][C]0.7882107494115[/C][/ROW]
[ROW][C]0.92[/C][C]122.4331130264[/C][C]0.672722645480842[/C][/ROW]
[ROW][C]0.93[/C][C]122.605465873413[/C][C]0.525090620266098[/C][/ROW]
[ROW][C]0.94[/C][C]122.734666401632[/C][C]0.366697606052906[/C][/ROW]
[ROW][C]0.95[/C][C]122.821221367815[/C][C]0.223283873186757[/C][/ROW]
[ROW][C]0.96[/C][C]122.871805711721[/C][C]0.114531511119872[/C][/ROW]
[ROW][C]0.97[/C][C]122.896762906174[/C][C]0.0469584387960742[/C][/ROW]
[ROW][C]0.98[/C][C]122.906647142159[/C][C]0.0139750894844579[/C][/ROW]
[ROW][C]0.99[/C][C]122.909514369252[/C][C]0.00236023347127329[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172863&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172863&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
0.01104.4200122562787.87142111798324e-05
0.02104.4200991255060.00046113099282873
0.03104.4204660837880.0019022442014442
0.04104.4216248074260.0059986209889899
0.05104.4246158984950.0153394786404839
0.06104.431234394860.033426117064136
0.07104.4441591844780.0642069932809498
0.08104.4668783246730.110901313381868
0.09104.5033461114920.17460901075597
0.1104.557396506820.253767214028895
0.11104.6320341895510.343711647335183
0.12104.7287835026780.437373473492473
0.13104.8472702538110.526621494095978
0.14104.9851478448650.603453919751595
0.15105.1383884653220.661655919866267
0.16105.3018767365140.69771719295677
0.17105.4701882754060.711296404909615
0.18105.63841275370.705734919253869
0.19105.8028836965870.687463597055246
0.2105.9616982517540.665540062036325
0.21106.1149454480650.65050966193988
0.22106.26460840340.652564906602423
0.23106.414159614560.679052183167427
0.24106.56792035880.732322236839253
0.25106.7302952408990.80898434780672
0.26106.9050128325970.90169831278346
0.27107.0944995513941.00054667749071
0.28107.2994879836911.09512479054281
0.29107.518918440481.17588785529307
0.3107.7501416577511.23557314465029
0.31107.9893799962731.26990108127968
0.32108.2323625773111.27848153978768
0.33108.4750233313231.26475641917635
0.34108.7141442265511.23556248472478
0.35108.9478398616221.20022341115054
0.36109.1758112147131.16913518404582
0.37109.3993392838521.15232065339582
0.38109.6210350970951.15725024960069
0.39109.8444022569011.18767598303558
0.4110.0732945857911.24269145252817
0.41110.3113605362031.3177464106049
0.42110.5615577509171.40582103829238
0.43110.8257991763251.49894670685129
0.44111.1047626952361.5893886961747
0.45111.3978664676641.67027130399615
0.46111.7033881497851.73629765930823
0.47112.0186915424121.78357878701274
0.48112.3405195447971.81016398902661
0.49112.6653153630741.81531684058505
0.5112.9895410004461.80010261300352
0.51113.3099694020281.76691813122028
0.52113.62393185681.7192253297448
0.53113.9295049792961.66162297543681
0.54114.2256231503951.59923036464281
0.55114.512104823561.53752944630982
0.56114.7895863448551.48156929249675
0.57115.0593653800121.43539863545083
0.58115.3231667077191.4013569855982
0.59115.5828540217521.37963218741747
0.6115.8401202675221.368483866361
0.61116.0961942163621.36419912600715
0.62116.3516015868451.36194671126944
0.63116.6060149022771.35614969667979
0.64116.8582176461751.34152167208739
0.65117.1061955341391.31361918496703
0.66117.347351590621.26951415781398
0.67117.5788237275871.20811995536996
0.68117.7978663671591.13065274544394
0.69118.0022450324631.04060435066506
0.7118.1905884800640.943212195827909
0.71118.3626490507610.845025148685658
0.72118.5194376345770.753193117985462
0.73118.663220638650.674819173840652
0.74118.7973859702890.61605661631761
0.75118.9261971918440.581615388238816
0.76119.0544575325830.573918984596803
0.77119.1871024228490.592566134010561
0.78119.3287400430210.633844552944576
0.79119.4831738925180.691584252969943
0.8119.6529721345640.757452244374909
0.81119.8391838126140.822199263402734
0.82120.0413153157260.876976721740888
0.83120.2576398215050.915339749531671
0.84120.4858011459330.93498063254372
0.85120.7235133197650.938706512765093
0.86120.9690199920080.933192856581465
0.87121.2209671241040.925444015392843
0.88121.4775399145850.917115656861209
0.89121.7351059166780.900885263852137
0.9121.9870316649860.862584597291891
0.91122.2235300275020.7882107494115
0.92122.43311302640.672722645480842
0.93122.6054658734130.525090620266098
0.94122.7346664016320.366697606052906
0.95122.8212213678150.223283873186757
0.96122.8718057117210.114531511119872
0.97122.8967629061740.0469584387960742
0.98122.9066471421590.0139750894844579
0.99122.9095143692520.00236023347127329


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 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')