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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, 04 Oct 2016 12:19:54 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/04/t1475580100vu9xptq36jy4c2c.htm/, Retrieved Tue, 21 May 2024 03:08:00 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 03:08:00 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106
106.8
106.5
107.6
107.6
107.6
108.9
108.5
108.9
108.7
108.4
108.4
109.2
109.3
109.4
109.3
109
108.8
108.7
106.1
106.2
109.7
108.4
108.3
108.1
110.6
111.8
111.7
112.2
111.1
111
111
113.6
114
116.1
115.5
115.8
115.6
114.1
114.2
113.4
112
110.9
111
112.8
113.8
114.7
113.9
114.5
113.8
113.8
113.7
113
113.1
112.4
112.8
113.2
112.9
113.9
113.2

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01106.0343393027270.115723665436976
0.02106.0995908547130.170838799720628
0.03106.1941188241640.259093645114149
0.04106.3162474851540.360326037995482
0.05106.4632641170550.455308341874755
0.06106.6300260367020.529724937902762
0.07106.8091573038940.575748299194146
0.08106.9924561528420.592590500911517
0.09107.1724928132360.585198614146975
0.1107.3436924553840.561771784991491
0.11107.5026839993230.530384736007333
0.12107.6480439126720.496839242743325
0.13107.7797224522170.463856754110772
0.14107.8984384234640.431834841026327
0.15108.0052283990420.400529515062373
0.16108.1012083890480.369768039151511
0.17108.187507249580.34041330331348
0.18108.2652876830830.313768988482451
0.19108.335777457850.291557146426986
0.2108.4002676431260.274613923143414
0.21108.4600717539660.263542211090041
0.22108.5164640567450.257910604042764
0.23108.5706225571280.256997772280032
0.24108.623596268620.260146219109632
0.25108.6763044045390.266708280398794
0.26108.729563557870.276608452044802
0.27108.7841314261710.289896057059709
0.28108.840753080290.307090375947331
0.29108.9001971695530.328893822331079
0.3108.9632731042340.355655115451336
0.31109.0308246393420.387939751374924
0.32109.1036994667950.425636812461039
0.33109.1826980435020.468294181784903
0.34109.2685079030360.515086838388082
0.35109.3616321146850.564428156067904
0.36109.4623222050170.614545374777795
0.37109.5705264014560.663172128080598
0.38109.6858630986910.708051081982507
0.39109.8076267466630.747117633020361
0.4109.9348290239390.778501994192049
0.41110.0662727468760.801059176873525
0.42110.2006504154890.814639946127473
0.43110.3366547410260.819414451126672
0.44110.47308596890.816730082709831
0.45110.6089409507250.808264440881488
0.46110.7434718020660.79610864600385
0.47110.8762070644880.782243620329923
0.48111.0069345412730.768498409917813
0.49111.1356511351840.756105974624799
0.5111.2624899000360.74567755286775
0.51111.3876372905340.736965248529101
0.52111.5112539321040.729567234410212
0.53111.6334103395330.722295600492087
0.54111.7540455110680.713926428042135
0.55111.8729520501280.70359278333058
0.56111.9897872536770.690083296654896
0.57112.1041061079210.673134130821943
0.58112.2154097262240.652448513043236
0.59112.3232015487320.628254448333299
0.6112.4270434820240.601105089864552
0.61112.5266048604180.57180575684573
0.62112.6216984109560.541568084491915
0.63112.7122990995370.511409958057129
0.64112.7985436885470.482350108490958
0.65112.8807109538390.455553016315478
0.66112.9591847012740.431608225524449
0.67113.0344038602880.410819760677199
0.68113.1068058170130.393203506148446
0.69113.1767705202690.378098030584267
0.7113.2445734587590.364811497449895
0.71113.3103551122480.352283672962826
0.72113.3741127892850.339461562582517
0.73113.4357179485120.325527737860272
0.74113.4949584846910.309869829708779
0.75113.5516016210690.292294540378145
0.76113.6054697348980.273282377230221
0.77113.6565194187770.25364739550469
0.78113.7049139292960.234478754038802
0.79113.7510810979170.217308815570956
0.8113.7957524613610.203691628160257
0.81113.8399839411740.195335255070683
0.82113.8851625095960.193549609767613
0.83113.9330052154980.199521929272386
0.84113.9855548392290.213869910606026
0.85114.0451685872870.237041208909232
0.86114.1144818250830.269230745231622
0.87114.1963095835720.310253343881475
0.88114.2934312434620.359280656030871
0.89114.4082027487610.414116138221728
0.9114.5419771503060.470250039780298
0.91114.6944075770270.520447173219797
0.92114.8628540088810.554930018831089
0.93115.0422626460820.563397879968084
0.94115.2259063968750.538882216414911
0.95115.407074071030.482340471000241
0.96115.5810069121950.405759033302039
0.97115.7452459588280.331857699421413
0.98115.8961203988950.286927672605717
0.99116.0217986076930.281513242702301

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 106.034339302727 & 0.115723665436976 \tabularnewline
0.02 & 106.099590854713 & 0.170838799720628 \tabularnewline
0.03 & 106.194118824164 & 0.259093645114149 \tabularnewline
0.04 & 106.316247485154 & 0.360326037995482 \tabularnewline
0.05 & 106.463264117055 & 0.455308341874755 \tabularnewline
0.06 & 106.630026036702 & 0.529724937902762 \tabularnewline
0.07 & 106.809157303894 & 0.575748299194146 \tabularnewline
0.08 & 106.992456152842 & 0.592590500911517 \tabularnewline
0.09 & 107.172492813236 & 0.585198614146975 \tabularnewline
0.1 & 107.343692455384 & 0.561771784991491 \tabularnewline
0.11 & 107.502683999323 & 0.530384736007333 \tabularnewline
0.12 & 107.648043912672 & 0.496839242743325 \tabularnewline
0.13 & 107.779722452217 & 0.463856754110772 \tabularnewline
0.14 & 107.898438423464 & 0.431834841026327 \tabularnewline
0.15 & 108.005228399042 & 0.400529515062373 \tabularnewline
0.16 & 108.101208389048 & 0.369768039151511 \tabularnewline
0.17 & 108.18750724958 & 0.34041330331348 \tabularnewline
0.18 & 108.265287683083 & 0.313768988482451 \tabularnewline
0.19 & 108.33577745785 & 0.291557146426986 \tabularnewline
0.2 & 108.400267643126 & 0.274613923143414 \tabularnewline
0.21 & 108.460071753966 & 0.263542211090041 \tabularnewline
0.22 & 108.516464056745 & 0.257910604042764 \tabularnewline
0.23 & 108.570622557128 & 0.256997772280032 \tabularnewline
0.24 & 108.62359626862 & 0.260146219109632 \tabularnewline
0.25 & 108.676304404539 & 0.266708280398794 \tabularnewline
0.26 & 108.72956355787 & 0.276608452044802 \tabularnewline
0.27 & 108.784131426171 & 0.289896057059709 \tabularnewline
0.28 & 108.84075308029 & 0.307090375947331 \tabularnewline
0.29 & 108.900197169553 & 0.328893822331079 \tabularnewline
0.3 & 108.963273104234 & 0.355655115451336 \tabularnewline
0.31 & 109.030824639342 & 0.387939751374924 \tabularnewline
0.32 & 109.103699466795 & 0.425636812461039 \tabularnewline
0.33 & 109.182698043502 & 0.468294181784903 \tabularnewline
0.34 & 109.268507903036 & 0.515086838388082 \tabularnewline
0.35 & 109.361632114685 & 0.564428156067904 \tabularnewline
0.36 & 109.462322205017 & 0.614545374777795 \tabularnewline
0.37 & 109.570526401456 & 0.663172128080598 \tabularnewline
0.38 & 109.685863098691 & 0.708051081982507 \tabularnewline
0.39 & 109.807626746663 & 0.747117633020361 \tabularnewline
0.4 & 109.934829023939 & 0.778501994192049 \tabularnewline
0.41 & 110.066272746876 & 0.801059176873525 \tabularnewline
0.42 & 110.200650415489 & 0.814639946127473 \tabularnewline
0.43 & 110.336654741026 & 0.819414451126672 \tabularnewline
0.44 & 110.4730859689 & 0.816730082709831 \tabularnewline
0.45 & 110.608940950725 & 0.808264440881488 \tabularnewline
0.46 & 110.743471802066 & 0.79610864600385 \tabularnewline
0.47 & 110.876207064488 & 0.782243620329923 \tabularnewline
0.48 & 111.006934541273 & 0.768498409917813 \tabularnewline
0.49 & 111.135651135184 & 0.756105974624799 \tabularnewline
0.5 & 111.262489900036 & 0.74567755286775 \tabularnewline
0.51 & 111.387637290534 & 0.736965248529101 \tabularnewline
0.52 & 111.511253932104 & 0.729567234410212 \tabularnewline
0.53 & 111.633410339533 & 0.722295600492087 \tabularnewline
0.54 & 111.754045511068 & 0.713926428042135 \tabularnewline
0.55 & 111.872952050128 & 0.70359278333058 \tabularnewline
0.56 & 111.989787253677 & 0.690083296654896 \tabularnewline
0.57 & 112.104106107921 & 0.673134130821943 \tabularnewline
0.58 & 112.215409726224 & 0.652448513043236 \tabularnewline
0.59 & 112.323201548732 & 0.628254448333299 \tabularnewline
0.6 & 112.427043482024 & 0.601105089864552 \tabularnewline
0.61 & 112.526604860418 & 0.57180575684573 \tabularnewline
0.62 & 112.621698410956 & 0.541568084491915 \tabularnewline
0.63 & 112.712299099537 & 0.511409958057129 \tabularnewline
0.64 & 112.798543688547 & 0.482350108490958 \tabularnewline
0.65 & 112.880710953839 & 0.455553016315478 \tabularnewline
0.66 & 112.959184701274 & 0.431608225524449 \tabularnewline
0.67 & 113.034403860288 & 0.410819760677199 \tabularnewline
0.68 & 113.106805817013 & 0.393203506148446 \tabularnewline
0.69 & 113.176770520269 & 0.378098030584267 \tabularnewline
0.7 & 113.244573458759 & 0.364811497449895 \tabularnewline
0.71 & 113.310355112248 & 0.352283672962826 \tabularnewline
0.72 & 113.374112789285 & 0.339461562582517 \tabularnewline
0.73 & 113.435717948512 & 0.325527737860272 \tabularnewline
0.74 & 113.494958484691 & 0.309869829708779 \tabularnewline
0.75 & 113.551601621069 & 0.292294540378145 \tabularnewline
0.76 & 113.605469734898 & 0.273282377230221 \tabularnewline
0.77 & 113.656519418777 & 0.25364739550469 \tabularnewline
0.78 & 113.704913929296 & 0.234478754038802 \tabularnewline
0.79 & 113.751081097917 & 0.217308815570956 \tabularnewline
0.8 & 113.795752461361 & 0.203691628160257 \tabularnewline
0.81 & 113.839983941174 & 0.195335255070683 \tabularnewline
0.82 & 113.885162509596 & 0.193549609767613 \tabularnewline
0.83 & 113.933005215498 & 0.199521929272386 \tabularnewline
0.84 & 113.985554839229 & 0.213869910606026 \tabularnewline
0.85 & 114.045168587287 & 0.237041208909232 \tabularnewline
0.86 & 114.114481825083 & 0.269230745231622 \tabularnewline
0.87 & 114.196309583572 & 0.310253343881475 \tabularnewline
0.88 & 114.293431243462 & 0.359280656030871 \tabularnewline
0.89 & 114.408202748761 & 0.414116138221728 \tabularnewline
0.9 & 114.541977150306 & 0.470250039780298 \tabularnewline
0.91 & 114.694407577027 & 0.520447173219797 \tabularnewline
0.92 & 114.862854008881 & 0.554930018831089 \tabularnewline
0.93 & 115.042262646082 & 0.563397879968084 \tabularnewline
0.94 & 115.225906396875 & 0.538882216414911 \tabularnewline
0.95 & 115.40707407103 & 0.482340471000241 \tabularnewline
0.96 & 115.581006912195 & 0.405759033302039 \tabularnewline
0.97 & 115.745245958828 & 0.331857699421413 \tabularnewline
0.98 & 115.896120398895 & 0.286927672605717 \tabularnewline
0.99 & 116.021798607693 & 0.281513242702301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]106.034339302727[/C][C]0.115723665436976[/C][/ROW]
[ROW][C]0.02[/C][C]106.099590854713[/C][C]0.170838799720628[/C][/ROW]
[ROW][C]0.03[/C][C]106.194118824164[/C][C]0.259093645114149[/C][/ROW]
[ROW][C]0.04[/C][C]106.316247485154[/C][C]0.360326037995482[/C][/ROW]
[ROW][C]0.05[/C][C]106.463264117055[/C][C]0.455308341874755[/C][/ROW]
[ROW][C]0.06[/C][C]106.630026036702[/C][C]0.529724937902762[/C][/ROW]
[ROW][C]0.07[/C][C]106.809157303894[/C][C]0.575748299194146[/C][/ROW]
[ROW][C]0.08[/C][C]106.992456152842[/C][C]0.592590500911517[/C][/ROW]
[ROW][C]0.09[/C][C]107.172492813236[/C][C]0.585198614146975[/C][/ROW]
[ROW][C]0.1[/C][C]107.343692455384[/C][C]0.561771784991491[/C][/ROW]
[ROW][C]0.11[/C][C]107.502683999323[/C][C]0.530384736007333[/C][/ROW]
[ROW][C]0.12[/C][C]107.648043912672[/C][C]0.496839242743325[/C][/ROW]
[ROW][C]0.13[/C][C]107.779722452217[/C][C]0.463856754110772[/C][/ROW]
[ROW][C]0.14[/C][C]107.898438423464[/C][C]0.431834841026327[/C][/ROW]
[ROW][C]0.15[/C][C]108.005228399042[/C][C]0.400529515062373[/C][/ROW]
[ROW][C]0.16[/C][C]108.101208389048[/C][C]0.369768039151511[/C][/ROW]
[ROW][C]0.17[/C][C]108.18750724958[/C][C]0.34041330331348[/C][/ROW]
[ROW][C]0.18[/C][C]108.265287683083[/C][C]0.313768988482451[/C][/ROW]
[ROW][C]0.19[/C][C]108.33577745785[/C][C]0.291557146426986[/C][/ROW]
[ROW][C]0.2[/C][C]108.400267643126[/C][C]0.274613923143414[/C][/ROW]
[ROW][C]0.21[/C][C]108.460071753966[/C][C]0.263542211090041[/C][/ROW]
[ROW][C]0.22[/C][C]108.516464056745[/C][C]0.257910604042764[/C][/ROW]
[ROW][C]0.23[/C][C]108.570622557128[/C][C]0.256997772280032[/C][/ROW]
[ROW][C]0.24[/C][C]108.62359626862[/C][C]0.260146219109632[/C][/ROW]
[ROW][C]0.25[/C][C]108.676304404539[/C][C]0.266708280398794[/C][/ROW]
[ROW][C]0.26[/C][C]108.72956355787[/C][C]0.276608452044802[/C][/ROW]
[ROW][C]0.27[/C][C]108.784131426171[/C][C]0.289896057059709[/C][/ROW]
[ROW][C]0.28[/C][C]108.84075308029[/C][C]0.307090375947331[/C][/ROW]
[ROW][C]0.29[/C][C]108.900197169553[/C][C]0.328893822331079[/C][/ROW]
[ROW][C]0.3[/C][C]108.963273104234[/C][C]0.355655115451336[/C][/ROW]
[ROW][C]0.31[/C][C]109.030824639342[/C][C]0.387939751374924[/C][/ROW]
[ROW][C]0.32[/C][C]109.103699466795[/C][C]0.425636812461039[/C][/ROW]
[ROW][C]0.33[/C][C]109.182698043502[/C][C]0.468294181784903[/C][/ROW]
[ROW][C]0.34[/C][C]109.268507903036[/C][C]0.515086838388082[/C][/ROW]
[ROW][C]0.35[/C][C]109.361632114685[/C][C]0.564428156067904[/C][/ROW]
[ROW][C]0.36[/C][C]109.462322205017[/C][C]0.614545374777795[/C][/ROW]
[ROW][C]0.37[/C][C]109.570526401456[/C][C]0.663172128080598[/C][/ROW]
[ROW][C]0.38[/C][C]109.685863098691[/C][C]0.708051081982507[/C][/ROW]
[ROW][C]0.39[/C][C]109.807626746663[/C][C]0.747117633020361[/C][/ROW]
[ROW][C]0.4[/C][C]109.934829023939[/C][C]0.778501994192049[/C][/ROW]
[ROW][C]0.41[/C][C]110.066272746876[/C][C]0.801059176873525[/C][/ROW]
[ROW][C]0.42[/C][C]110.200650415489[/C][C]0.814639946127473[/C][/ROW]
[ROW][C]0.43[/C][C]110.336654741026[/C][C]0.819414451126672[/C][/ROW]
[ROW][C]0.44[/C][C]110.4730859689[/C][C]0.816730082709831[/C][/ROW]
[ROW][C]0.45[/C][C]110.608940950725[/C][C]0.808264440881488[/C][/ROW]
[ROW][C]0.46[/C][C]110.743471802066[/C][C]0.79610864600385[/C][/ROW]
[ROW][C]0.47[/C][C]110.876207064488[/C][C]0.782243620329923[/C][/ROW]
[ROW][C]0.48[/C][C]111.006934541273[/C][C]0.768498409917813[/C][/ROW]
[ROW][C]0.49[/C][C]111.135651135184[/C][C]0.756105974624799[/C][/ROW]
[ROW][C]0.5[/C][C]111.262489900036[/C][C]0.74567755286775[/C][/ROW]
[ROW][C]0.51[/C][C]111.387637290534[/C][C]0.736965248529101[/C][/ROW]
[ROW][C]0.52[/C][C]111.511253932104[/C][C]0.729567234410212[/C][/ROW]
[ROW][C]0.53[/C][C]111.633410339533[/C][C]0.722295600492087[/C][/ROW]
[ROW][C]0.54[/C][C]111.754045511068[/C][C]0.713926428042135[/C][/ROW]
[ROW][C]0.55[/C][C]111.872952050128[/C][C]0.70359278333058[/C][/ROW]
[ROW][C]0.56[/C][C]111.989787253677[/C][C]0.690083296654896[/C][/ROW]
[ROW][C]0.57[/C][C]112.104106107921[/C][C]0.673134130821943[/C][/ROW]
[ROW][C]0.58[/C][C]112.215409726224[/C][C]0.652448513043236[/C][/ROW]
[ROW][C]0.59[/C][C]112.323201548732[/C][C]0.628254448333299[/C][/ROW]
[ROW][C]0.6[/C][C]112.427043482024[/C][C]0.601105089864552[/C][/ROW]
[ROW][C]0.61[/C][C]112.526604860418[/C][C]0.57180575684573[/C][/ROW]
[ROW][C]0.62[/C][C]112.621698410956[/C][C]0.541568084491915[/C][/ROW]
[ROW][C]0.63[/C][C]112.712299099537[/C][C]0.511409958057129[/C][/ROW]
[ROW][C]0.64[/C][C]112.798543688547[/C][C]0.482350108490958[/C][/ROW]
[ROW][C]0.65[/C][C]112.880710953839[/C][C]0.455553016315478[/C][/ROW]
[ROW][C]0.66[/C][C]112.959184701274[/C][C]0.431608225524449[/C][/ROW]
[ROW][C]0.67[/C][C]113.034403860288[/C][C]0.410819760677199[/C][/ROW]
[ROW][C]0.68[/C][C]113.106805817013[/C][C]0.393203506148446[/C][/ROW]
[ROW][C]0.69[/C][C]113.176770520269[/C][C]0.378098030584267[/C][/ROW]
[ROW][C]0.7[/C][C]113.244573458759[/C][C]0.364811497449895[/C][/ROW]
[ROW][C]0.71[/C][C]113.310355112248[/C][C]0.352283672962826[/C][/ROW]
[ROW][C]0.72[/C][C]113.374112789285[/C][C]0.339461562582517[/C][/ROW]
[ROW][C]0.73[/C][C]113.435717948512[/C][C]0.325527737860272[/C][/ROW]
[ROW][C]0.74[/C][C]113.494958484691[/C][C]0.309869829708779[/C][/ROW]
[ROW][C]0.75[/C][C]113.551601621069[/C][C]0.292294540378145[/C][/ROW]
[ROW][C]0.76[/C][C]113.605469734898[/C][C]0.273282377230221[/C][/ROW]
[ROW][C]0.77[/C][C]113.656519418777[/C][C]0.25364739550469[/C][/ROW]
[ROW][C]0.78[/C][C]113.704913929296[/C][C]0.234478754038802[/C][/ROW]
[ROW][C]0.79[/C][C]113.751081097917[/C][C]0.217308815570956[/C][/ROW]
[ROW][C]0.8[/C][C]113.795752461361[/C][C]0.203691628160257[/C][/ROW]
[ROW][C]0.81[/C][C]113.839983941174[/C][C]0.195335255070683[/C][/ROW]
[ROW][C]0.82[/C][C]113.885162509596[/C][C]0.193549609767613[/C][/ROW]
[ROW][C]0.83[/C][C]113.933005215498[/C][C]0.199521929272386[/C][/ROW]
[ROW][C]0.84[/C][C]113.985554839229[/C][C]0.213869910606026[/C][/ROW]
[ROW][C]0.85[/C][C]114.045168587287[/C][C]0.237041208909232[/C][/ROW]
[ROW][C]0.86[/C][C]114.114481825083[/C][C]0.269230745231622[/C][/ROW]
[ROW][C]0.87[/C][C]114.196309583572[/C][C]0.310253343881475[/C][/ROW]
[ROW][C]0.88[/C][C]114.293431243462[/C][C]0.359280656030871[/C][/ROW]
[ROW][C]0.89[/C][C]114.408202748761[/C][C]0.414116138221728[/C][/ROW]
[ROW][C]0.9[/C][C]114.541977150306[/C][C]0.470250039780298[/C][/ROW]
[ROW][C]0.91[/C][C]114.694407577027[/C][C]0.520447173219797[/C][/ROW]
[ROW][C]0.92[/C][C]114.862854008881[/C][C]0.554930018831089[/C][/ROW]
[ROW][C]0.93[/C][C]115.042262646082[/C][C]0.563397879968084[/C][/ROW]
[ROW][C]0.94[/C][C]115.225906396875[/C][C]0.538882216414911[/C][/ROW]
[ROW][C]0.95[/C][C]115.40707407103[/C][C]0.482340471000241[/C][/ROW]
[ROW][C]0.96[/C][C]115.581006912195[/C][C]0.405759033302039[/C][/ROW]
[ROW][C]0.97[/C][C]115.745245958828[/C][C]0.331857699421413[/C][/ROW]
[ROW][C]0.98[/C][C]115.896120398895[/C][C]0.286927672605717[/C][/ROW]
[ROW][C]0.99[/C][C]116.021798607693[/C][C]0.281513242702301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01106.0343393027270.115723665436976
0.02106.0995908547130.170838799720628
0.03106.1941188241640.259093645114149
0.04106.3162474851540.360326037995482
0.05106.4632641170550.455308341874755
0.06106.6300260367020.529724937902762
0.07106.8091573038940.575748299194146
0.08106.9924561528420.592590500911517
0.09107.1724928132360.585198614146975
0.1107.3436924553840.561771784991491
0.11107.5026839993230.530384736007333
0.12107.6480439126720.496839242743325
0.13107.7797224522170.463856754110772
0.14107.8984384234640.431834841026327
0.15108.0052283990420.400529515062373
0.16108.1012083890480.369768039151511
0.17108.187507249580.34041330331348
0.18108.2652876830830.313768988482451
0.19108.335777457850.291557146426986
0.2108.4002676431260.274613923143414
0.21108.4600717539660.263542211090041
0.22108.5164640567450.257910604042764
0.23108.5706225571280.256997772280032
0.24108.623596268620.260146219109632
0.25108.6763044045390.266708280398794
0.26108.729563557870.276608452044802
0.27108.7841314261710.289896057059709
0.28108.840753080290.307090375947331
0.29108.9001971695530.328893822331079
0.3108.9632731042340.355655115451336
0.31109.0308246393420.387939751374924
0.32109.1036994667950.425636812461039
0.33109.1826980435020.468294181784903
0.34109.2685079030360.515086838388082
0.35109.3616321146850.564428156067904
0.36109.4623222050170.614545374777795
0.37109.5705264014560.663172128080598
0.38109.6858630986910.708051081982507
0.39109.8076267466630.747117633020361
0.4109.9348290239390.778501994192049
0.41110.0662727468760.801059176873525
0.42110.2006504154890.814639946127473
0.43110.3366547410260.819414451126672
0.44110.47308596890.816730082709831
0.45110.6089409507250.808264440881488
0.46110.7434718020660.79610864600385
0.47110.8762070644880.782243620329923
0.48111.0069345412730.768498409917813
0.49111.1356511351840.756105974624799
0.5111.2624899000360.74567755286775
0.51111.3876372905340.736965248529101
0.52111.5112539321040.729567234410212
0.53111.6334103395330.722295600492087
0.54111.7540455110680.713926428042135
0.55111.8729520501280.70359278333058
0.56111.9897872536770.690083296654896
0.57112.1041061079210.673134130821943
0.58112.2154097262240.652448513043236
0.59112.3232015487320.628254448333299
0.6112.4270434820240.601105089864552
0.61112.5266048604180.57180575684573
0.62112.6216984109560.541568084491915
0.63112.7122990995370.511409958057129
0.64112.7985436885470.482350108490958
0.65112.8807109538390.455553016315478
0.66112.9591847012740.431608225524449
0.67113.0344038602880.410819760677199
0.68113.1068058170130.393203506148446
0.69113.1767705202690.378098030584267
0.7113.2445734587590.364811497449895
0.71113.3103551122480.352283672962826
0.72113.3741127892850.339461562582517
0.73113.4357179485120.325527737860272
0.74113.4949584846910.309869829708779
0.75113.5516016210690.292294540378145
0.76113.6054697348980.273282377230221
0.77113.6565194187770.25364739550469
0.78113.7049139292960.234478754038802
0.79113.7510810979170.217308815570956
0.8113.7957524613610.203691628160257
0.81113.8399839411740.195335255070683
0.82113.8851625095960.193549609767613
0.83113.9330052154980.199521929272386
0.84113.9855548392290.213869910606026
0.85114.0451685872870.237041208909232
0.86114.1144818250830.269230745231622
0.87114.1963095835720.310253343881475
0.88114.2934312434620.359280656030871
0.89114.4082027487610.414116138221728
0.9114.5419771503060.470250039780298
0.91114.6944075770270.520447173219797
0.92114.8628540088810.554930018831089
0.93115.0422626460820.563397879968084
0.94115.2259063968750.538882216414911
0.95115.407074071030.482340471000241
0.96115.5810069121950.405759033302039
0.97115.7452459588280.331857699421413
0.98115.8961203988950.286927672605717
0.99116.0217986076930.281513242702301


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')