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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 computationFri, 10 Mar 2017 15:08:01 +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/2017/Mar/10/t1489159142gecntxp9gwy7d58.htm/, Retrieved Thu, 16 May 2024 05:23:35 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 16 May 2024 05:23:35 +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 
92,49
92,46
92,55
92,24
92,41
92,83
92,85
93,04
93,04
92,83
92,96
92,83
93,01
93,21
93,58
94,07
94,57
95,03
95,21
95,89
96,43
96,35
96,71
96,32
97,23
97,88
98,2
98,56
99,31
99,69
99,77
101,06
101,77
101,91
102,52
102,09
102,22
102,74
103,56
104,4
104,76
104,86
104,84
104,96
104,83
104,58
104,8
104,17
104,63
105,32
106,16
107,22
107,51
107,87
107,79
108,04
107,74
107,71
111,19
110,82
113,65
114,72
114,32
116,76
116,47
117,34
116,92
116,48
115,07
116,45
116,84
114,31

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.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]1 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=&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.28828411146820.139246780280847
0.0292.35634896203740.109749343189391
0.0392.42297363248630.102398920021401
0.0492.48354921762220.117752713939016
0.0592.54156942255030.14027129290085
0.0692.59988693079380.157104050460011
0.0792.65841708161780.163270821302567
0.0892.71552302804370.160568518315794
0.0992.7699411625650.155663842130397
0.192.82190472763190.156803343648865
0.1192.87334671392310.170894366947442
0.1292.92753426168540.202267802071431
0.1392.98851323000210.252384275718739
0.1493.06058375861690.32115782030662
0.1593.14786379484240.407349164626454
0.1693.25391499756660.507935847398693
0.1793.38140664243380.618717790241973
0.1893.5318338483930.733277996304413
0.1993.70533981341450.84573683727833
0.293.90069391177270.949427577256229
0.2194.11545004833941.03942139272732
0.2294.34626878084911.11230651373426
0.2394.58935034184791.16715781708747
0.2494.84090528881471.20509460169276
0.2595.09758798003341.22923971916575
0.2695.35683186471541.24407728897735
0.2795.61704828971941.25518367274041
0.2895.87767587039611.2676858982315
0.2996.13909072048711.2860482042476
0.396.40240599205511.31318459757679
0.3196.66920059064611.35089256163871
0.3296.94122096830911.39842453549613
0.3397.22009689898171.45403153116381
0.3497.50710350775161.51462048638742
0.3597.80298991107421.57675302662954
0.3698.10788245551641.63658888583263
0.3798.42126024979441.69078520313375
0.3898.74199395791441.7362336410026
0.3999.06843572587021.77044656315173
0.499.39854747380861.79155167645041
0.4199.7300548582951.79859636569133
0.42100.0606135705011.79166530494712
0.43100.3879728784981.77155913934514
0.44100.7101192720031.73996719803601
0.45101.0253824252761.69937474859296
0.46101.3324882421331.65251138730269
0.47101.6305504654271.60162419214749
0.48101.9190027747321.54897487065656
0.49102.1974854941841.49560777792556
0.5102.4657119941651.44143604264565
0.51102.7233464841051.38569291530939
0.52102.9699249305911.32685325161322
0.53103.204843688841.26353373087422
0.54103.4274273464021.19480973064288
0.55103.6370709810651.1212139380506
0.56103.8334359817891.04423834146869
0.57104.0166660204360.966978848241571
0.58104.1875829949070.893757934588018
0.59104.3478227963570.830126394457109
0.6104.4998773815290.781571024673839
0.61104.6470218325840.75387128366378
0.62104.7931214574220.750777701437367
0.63104.9423329846820.773538594891255
0.64105.0987337985260.820211141586204
0.65105.2659316797250.885696275512996
0.66105.4467215778820.962864661165802
0.67105.6428616123621.04422259322683
0.68105.8550336226951.12266072056523
0.69106.0830309770711.19264609053297
0.7106.3261774104911.25190269902878
0.71106.5839289340471.30162848122038
0.72106.8565547927081.3478012094958
0.73107.1457459568981.39996536959424
0.74107.4549759844331.47001012198599
0.75107.7894533226921.5687585394283
0.76108.155564475161.70213073008617
0.77108.5598118295561.86825294292191
0.78109.0073827144242.05619070472564
0.79109.5006179548022.24698723546337
0.8110.0377394269072.41726483070818
0.81110.6122063816362.54297759589647
0.82111.2129714406292.60406568807145
0.83111.8256987667712.58880531958137
0.84112.4347288828322.49691150430533
0.85113.0253092933832.3393228130053
0.86113.5854658158932.13623009597067
0.87114.1069616171551.91093180309613
0.88114.5851064234471.68385072190745
0.89115.0176485690861.466462917997
0.9115.4034019387931.26018917050539
0.91115.741386014111.0606496080468
0.92116.0309668435030.865068542784908
0.93116.2729274584710.677214529209615
0.94116.4709799149660.507553998179534
0.95116.6333049527390.368148764804639
0.96116.7738802964140.269329472284299
0.97116.9120224435580.224655909547343
0.98117.0645501284040.251987497272688
0.99117.2242996925240.336027615986239

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.2882841114682 & 0.139246780280847 \tabularnewline
0.02 & 92.3563489620374 & 0.109749343189391 \tabularnewline
0.03 & 92.4229736324863 & 0.102398920021401 \tabularnewline
0.04 & 92.4835492176222 & 0.117752713939016 \tabularnewline
0.05 & 92.5415694225503 & 0.14027129290085 \tabularnewline
0.06 & 92.5998869307938 & 0.157104050460011 \tabularnewline
0.07 & 92.6584170816178 & 0.163270821302567 \tabularnewline
0.08 & 92.7155230280437 & 0.160568518315794 \tabularnewline
0.09 & 92.769941162565 & 0.155663842130397 \tabularnewline
0.1 & 92.8219047276319 & 0.156803343648865 \tabularnewline
0.11 & 92.8733467139231 & 0.170894366947442 \tabularnewline
0.12 & 92.9275342616854 & 0.202267802071431 \tabularnewline
0.13 & 92.9885132300021 & 0.252384275718739 \tabularnewline
0.14 & 93.0605837586169 & 0.32115782030662 \tabularnewline
0.15 & 93.1478637948424 & 0.407349164626454 \tabularnewline
0.16 & 93.2539149975666 & 0.507935847398693 \tabularnewline
0.17 & 93.3814066424338 & 0.618717790241973 \tabularnewline
0.18 & 93.531833848393 & 0.733277996304413 \tabularnewline
0.19 & 93.7053398134145 & 0.84573683727833 \tabularnewline
0.2 & 93.9006939117727 & 0.949427577256229 \tabularnewline
0.21 & 94.1154500483394 & 1.03942139272732 \tabularnewline
0.22 & 94.3462687808491 & 1.11230651373426 \tabularnewline
0.23 & 94.5893503418479 & 1.16715781708747 \tabularnewline
0.24 & 94.8409052888147 & 1.20509460169276 \tabularnewline
0.25 & 95.0975879800334 & 1.22923971916575 \tabularnewline
0.26 & 95.3568318647154 & 1.24407728897735 \tabularnewline
0.27 & 95.6170482897194 & 1.25518367274041 \tabularnewline
0.28 & 95.8776758703961 & 1.2676858982315 \tabularnewline
0.29 & 96.1390907204871 & 1.2860482042476 \tabularnewline
0.3 & 96.4024059920551 & 1.31318459757679 \tabularnewline
0.31 & 96.6692005906461 & 1.35089256163871 \tabularnewline
0.32 & 96.9412209683091 & 1.39842453549613 \tabularnewline
0.33 & 97.2200968989817 & 1.45403153116381 \tabularnewline
0.34 & 97.5071035077516 & 1.51462048638742 \tabularnewline
0.35 & 97.8029899110742 & 1.57675302662954 \tabularnewline
0.36 & 98.1078824555164 & 1.63658888583263 \tabularnewline
0.37 & 98.4212602497944 & 1.69078520313375 \tabularnewline
0.38 & 98.7419939579144 & 1.7362336410026 \tabularnewline
0.39 & 99.0684357258702 & 1.77044656315173 \tabularnewline
0.4 & 99.3985474738086 & 1.79155167645041 \tabularnewline
0.41 & 99.730054858295 & 1.79859636569133 \tabularnewline
0.42 & 100.060613570501 & 1.79166530494712 \tabularnewline
0.43 & 100.387972878498 & 1.77155913934514 \tabularnewline
0.44 & 100.710119272003 & 1.73996719803601 \tabularnewline
0.45 & 101.025382425276 & 1.69937474859296 \tabularnewline
0.46 & 101.332488242133 & 1.65251138730269 \tabularnewline
0.47 & 101.630550465427 & 1.60162419214749 \tabularnewline
0.48 & 101.919002774732 & 1.54897487065656 \tabularnewline
0.49 & 102.197485494184 & 1.49560777792556 \tabularnewline
0.5 & 102.465711994165 & 1.44143604264565 \tabularnewline
0.51 & 102.723346484105 & 1.38569291530939 \tabularnewline
0.52 & 102.969924930591 & 1.32685325161322 \tabularnewline
0.53 & 103.20484368884 & 1.26353373087422 \tabularnewline
0.54 & 103.427427346402 & 1.19480973064288 \tabularnewline
0.55 & 103.637070981065 & 1.1212139380506 \tabularnewline
0.56 & 103.833435981789 & 1.04423834146869 \tabularnewline
0.57 & 104.016666020436 & 0.966978848241571 \tabularnewline
0.58 & 104.187582994907 & 0.893757934588018 \tabularnewline
0.59 & 104.347822796357 & 0.830126394457109 \tabularnewline
0.6 & 104.499877381529 & 0.781571024673839 \tabularnewline
0.61 & 104.647021832584 & 0.75387128366378 \tabularnewline
0.62 & 104.793121457422 & 0.750777701437367 \tabularnewline
0.63 & 104.942332984682 & 0.773538594891255 \tabularnewline
0.64 & 105.098733798526 & 0.820211141586204 \tabularnewline
0.65 & 105.265931679725 & 0.885696275512996 \tabularnewline
0.66 & 105.446721577882 & 0.962864661165802 \tabularnewline
0.67 & 105.642861612362 & 1.04422259322683 \tabularnewline
0.68 & 105.855033622695 & 1.12266072056523 \tabularnewline
0.69 & 106.083030977071 & 1.19264609053297 \tabularnewline
0.7 & 106.326177410491 & 1.25190269902878 \tabularnewline
0.71 & 106.583928934047 & 1.30162848122038 \tabularnewline
0.72 & 106.856554792708 & 1.3478012094958 \tabularnewline
0.73 & 107.145745956898 & 1.39996536959424 \tabularnewline
0.74 & 107.454975984433 & 1.47001012198599 \tabularnewline
0.75 & 107.789453322692 & 1.5687585394283 \tabularnewline
0.76 & 108.15556447516 & 1.70213073008617 \tabularnewline
0.77 & 108.559811829556 & 1.86825294292191 \tabularnewline
0.78 & 109.007382714424 & 2.05619070472564 \tabularnewline
0.79 & 109.500617954802 & 2.24698723546337 \tabularnewline
0.8 & 110.037739426907 & 2.41726483070818 \tabularnewline
0.81 & 110.612206381636 & 2.54297759589647 \tabularnewline
0.82 & 111.212971440629 & 2.60406568807145 \tabularnewline
0.83 & 111.825698766771 & 2.58880531958137 \tabularnewline
0.84 & 112.434728882832 & 2.49691150430533 \tabularnewline
0.85 & 113.025309293383 & 2.3393228130053 \tabularnewline
0.86 & 113.585465815893 & 2.13623009597067 \tabularnewline
0.87 & 114.106961617155 & 1.91093180309613 \tabularnewline
0.88 & 114.585106423447 & 1.68385072190745 \tabularnewline
0.89 & 115.017648569086 & 1.466462917997 \tabularnewline
0.9 & 115.403401938793 & 1.26018917050539 \tabularnewline
0.91 & 115.74138601411 & 1.0606496080468 \tabularnewline
0.92 & 116.030966843503 & 0.865068542784908 \tabularnewline
0.93 & 116.272927458471 & 0.677214529209615 \tabularnewline
0.94 & 116.470979914966 & 0.507553998179534 \tabularnewline
0.95 & 116.633304952739 & 0.368148764804639 \tabularnewline
0.96 & 116.773880296414 & 0.269329472284299 \tabularnewline
0.97 & 116.912022443558 & 0.224655909547343 \tabularnewline
0.98 & 117.064550128404 & 0.251987497272688 \tabularnewline
0.99 & 117.224299692524 & 0.336027615986239 \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]92.2882841114682[/C][C]0.139246780280847[/C][/ROW]
[ROW][C]0.02[/C][C]92.3563489620374[/C][C]0.109749343189391[/C][/ROW]
[ROW][C]0.03[/C][C]92.4229736324863[/C][C]0.102398920021401[/C][/ROW]
[ROW][C]0.04[/C][C]92.4835492176222[/C][C]0.117752713939016[/C][/ROW]
[ROW][C]0.05[/C][C]92.5415694225503[/C][C]0.14027129290085[/C][/ROW]
[ROW][C]0.06[/C][C]92.5998869307938[/C][C]0.157104050460011[/C][/ROW]
[ROW][C]0.07[/C][C]92.6584170816178[/C][C]0.163270821302567[/C][/ROW]
[ROW][C]0.08[/C][C]92.7155230280437[/C][C]0.160568518315794[/C][/ROW]
[ROW][C]0.09[/C][C]92.769941162565[/C][C]0.155663842130397[/C][/ROW]
[ROW][C]0.1[/C][C]92.8219047276319[/C][C]0.156803343648865[/C][/ROW]
[ROW][C]0.11[/C][C]92.8733467139231[/C][C]0.170894366947442[/C][/ROW]
[ROW][C]0.12[/C][C]92.9275342616854[/C][C]0.202267802071431[/C][/ROW]
[ROW][C]0.13[/C][C]92.9885132300021[/C][C]0.252384275718739[/C][/ROW]
[ROW][C]0.14[/C][C]93.0605837586169[/C][C]0.32115782030662[/C][/ROW]
[ROW][C]0.15[/C][C]93.1478637948424[/C][C]0.407349164626454[/C][/ROW]
[ROW][C]0.16[/C][C]93.2539149975666[/C][C]0.507935847398693[/C][/ROW]
[ROW][C]0.17[/C][C]93.3814066424338[/C][C]0.618717790241973[/C][/ROW]
[ROW][C]0.18[/C][C]93.531833848393[/C][C]0.733277996304413[/C][/ROW]
[ROW][C]0.19[/C][C]93.7053398134145[/C][C]0.84573683727833[/C][/ROW]
[ROW][C]0.2[/C][C]93.9006939117727[/C][C]0.949427577256229[/C][/ROW]
[ROW][C]0.21[/C][C]94.1154500483394[/C][C]1.03942139272732[/C][/ROW]
[ROW][C]0.22[/C][C]94.3462687808491[/C][C]1.11230651373426[/C][/ROW]
[ROW][C]0.23[/C][C]94.5893503418479[/C][C]1.16715781708747[/C][/ROW]
[ROW][C]0.24[/C][C]94.8409052888147[/C][C]1.20509460169276[/C][/ROW]
[ROW][C]0.25[/C][C]95.0975879800334[/C][C]1.22923971916575[/C][/ROW]
[ROW][C]0.26[/C][C]95.3568318647154[/C][C]1.24407728897735[/C][/ROW]
[ROW][C]0.27[/C][C]95.6170482897194[/C][C]1.25518367274041[/C][/ROW]
[ROW][C]0.28[/C][C]95.8776758703961[/C][C]1.2676858982315[/C][/ROW]
[ROW][C]0.29[/C][C]96.1390907204871[/C][C]1.2860482042476[/C][/ROW]
[ROW][C]0.3[/C][C]96.4024059920551[/C][C]1.31318459757679[/C][/ROW]
[ROW][C]0.31[/C][C]96.6692005906461[/C][C]1.35089256163871[/C][/ROW]
[ROW][C]0.32[/C][C]96.9412209683091[/C][C]1.39842453549613[/C][/ROW]
[ROW][C]0.33[/C][C]97.2200968989817[/C][C]1.45403153116381[/C][/ROW]
[ROW][C]0.34[/C][C]97.5071035077516[/C][C]1.51462048638742[/C][/ROW]
[ROW][C]0.35[/C][C]97.8029899110742[/C][C]1.57675302662954[/C][/ROW]
[ROW][C]0.36[/C][C]98.1078824555164[/C][C]1.63658888583263[/C][/ROW]
[ROW][C]0.37[/C][C]98.4212602497944[/C][C]1.69078520313375[/C][/ROW]
[ROW][C]0.38[/C][C]98.7419939579144[/C][C]1.7362336410026[/C][/ROW]
[ROW][C]0.39[/C][C]99.0684357258702[/C][C]1.77044656315173[/C][/ROW]
[ROW][C]0.4[/C][C]99.3985474738086[/C][C]1.79155167645041[/C][/ROW]
[ROW][C]0.41[/C][C]99.730054858295[/C][C]1.79859636569133[/C][/ROW]
[ROW][C]0.42[/C][C]100.060613570501[/C][C]1.79166530494712[/C][/ROW]
[ROW][C]0.43[/C][C]100.387972878498[/C][C]1.77155913934514[/C][/ROW]
[ROW][C]0.44[/C][C]100.710119272003[/C][C]1.73996719803601[/C][/ROW]
[ROW][C]0.45[/C][C]101.025382425276[/C][C]1.69937474859296[/C][/ROW]
[ROW][C]0.46[/C][C]101.332488242133[/C][C]1.65251138730269[/C][/ROW]
[ROW][C]0.47[/C][C]101.630550465427[/C][C]1.60162419214749[/C][/ROW]
[ROW][C]0.48[/C][C]101.919002774732[/C][C]1.54897487065656[/C][/ROW]
[ROW][C]0.49[/C][C]102.197485494184[/C][C]1.49560777792556[/C][/ROW]
[ROW][C]0.5[/C][C]102.465711994165[/C][C]1.44143604264565[/C][/ROW]
[ROW][C]0.51[/C][C]102.723346484105[/C][C]1.38569291530939[/C][/ROW]
[ROW][C]0.52[/C][C]102.969924930591[/C][C]1.32685325161322[/C][/ROW]
[ROW][C]0.53[/C][C]103.20484368884[/C][C]1.26353373087422[/C][/ROW]
[ROW][C]0.54[/C][C]103.427427346402[/C][C]1.19480973064288[/C][/ROW]
[ROW][C]0.55[/C][C]103.637070981065[/C][C]1.1212139380506[/C][/ROW]
[ROW][C]0.56[/C][C]103.833435981789[/C][C]1.04423834146869[/C][/ROW]
[ROW][C]0.57[/C][C]104.016666020436[/C][C]0.966978848241571[/C][/ROW]
[ROW][C]0.58[/C][C]104.187582994907[/C][C]0.893757934588018[/C][/ROW]
[ROW][C]0.59[/C][C]104.347822796357[/C][C]0.830126394457109[/C][/ROW]
[ROW][C]0.6[/C][C]104.499877381529[/C][C]0.781571024673839[/C][/ROW]
[ROW][C]0.61[/C][C]104.647021832584[/C][C]0.75387128366378[/C][/ROW]
[ROW][C]0.62[/C][C]104.793121457422[/C][C]0.750777701437367[/C][/ROW]
[ROW][C]0.63[/C][C]104.942332984682[/C][C]0.773538594891255[/C][/ROW]
[ROW][C]0.64[/C][C]105.098733798526[/C][C]0.820211141586204[/C][/ROW]
[ROW][C]0.65[/C][C]105.265931679725[/C][C]0.885696275512996[/C][/ROW]
[ROW][C]0.66[/C][C]105.446721577882[/C][C]0.962864661165802[/C][/ROW]
[ROW][C]0.67[/C][C]105.642861612362[/C][C]1.04422259322683[/C][/ROW]
[ROW][C]0.68[/C][C]105.855033622695[/C][C]1.12266072056523[/C][/ROW]
[ROW][C]0.69[/C][C]106.083030977071[/C][C]1.19264609053297[/C][/ROW]
[ROW][C]0.7[/C][C]106.326177410491[/C][C]1.25190269902878[/C][/ROW]
[ROW][C]0.71[/C][C]106.583928934047[/C][C]1.30162848122038[/C][/ROW]
[ROW][C]0.72[/C][C]106.856554792708[/C][C]1.3478012094958[/C][/ROW]
[ROW][C]0.73[/C][C]107.145745956898[/C][C]1.39996536959424[/C][/ROW]
[ROW][C]0.74[/C][C]107.454975984433[/C][C]1.47001012198599[/C][/ROW]
[ROW][C]0.75[/C][C]107.789453322692[/C][C]1.5687585394283[/C][/ROW]
[ROW][C]0.76[/C][C]108.15556447516[/C][C]1.70213073008617[/C][/ROW]
[ROW][C]0.77[/C][C]108.559811829556[/C][C]1.86825294292191[/C][/ROW]
[ROW][C]0.78[/C][C]109.007382714424[/C][C]2.05619070472564[/C][/ROW]
[ROW][C]0.79[/C][C]109.500617954802[/C][C]2.24698723546337[/C][/ROW]
[ROW][C]0.8[/C][C]110.037739426907[/C][C]2.41726483070818[/C][/ROW]
[ROW][C]0.81[/C][C]110.612206381636[/C][C]2.54297759589647[/C][/ROW]
[ROW][C]0.82[/C][C]111.212971440629[/C][C]2.60406568807145[/C][/ROW]
[ROW][C]0.83[/C][C]111.825698766771[/C][C]2.58880531958137[/C][/ROW]
[ROW][C]0.84[/C][C]112.434728882832[/C][C]2.49691150430533[/C][/ROW]
[ROW][C]0.85[/C][C]113.025309293383[/C][C]2.3393228130053[/C][/ROW]
[ROW][C]0.86[/C][C]113.585465815893[/C][C]2.13623009597067[/C][/ROW]
[ROW][C]0.87[/C][C]114.106961617155[/C][C]1.91093180309613[/C][/ROW]
[ROW][C]0.88[/C][C]114.585106423447[/C][C]1.68385072190745[/C][/ROW]
[ROW][C]0.89[/C][C]115.017648569086[/C][C]1.466462917997[/C][/ROW]
[ROW][C]0.9[/C][C]115.403401938793[/C][C]1.26018917050539[/C][/ROW]
[ROW][C]0.91[/C][C]115.74138601411[/C][C]1.0606496080468[/C][/ROW]
[ROW][C]0.92[/C][C]116.030966843503[/C][C]0.865068542784908[/C][/ROW]
[ROW][C]0.93[/C][C]116.272927458471[/C][C]0.677214529209615[/C][/ROW]
[ROW][C]0.94[/C][C]116.470979914966[/C][C]0.507553998179534[/C][/ROW]
[ROW][C]0.95[/C][C]116.633304952739[/C][C]0.368148764804639[/C][/ROW]
[ROW][C]0.96[/C][C]116.773880296414[/C][C]0.269329472284299[/C][/ROW]
[ROW][C]0.97[/C][C]116.912022443558[/C][C]0.224655909547343[/C][/ROW]
[ROW][C]0.98[/C][C]117.064550128404[/C][C]0.251987497272688[/C][/ROW]
[ROW][C]0.99[/C][C]117.224299692524[/C][C]0.336027615986239[/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
0.0192.28828411146820.139246780280847
0.0292.35634896203740.109749343189391
0.0392.42297363248630.102398920021401
0.0492.48354921762220.117752713939016
0.0592.54156942255030.14027129290085
0.0692.59988693079380.157104050460011
0.0792.65841708161780.163270821302567
0.0892.71552302804370.160568518315794
0.0992.7699411625650.155663842130397
0.192.82190472763190.156803343648865
0.1192.87334671392310.170894366947442
0.1292.92753426168540.202267802071431
0.1392.98851323000210.252384275718739
0.1493.06058375861690.32115782030662
0.1593.14786379484240.407349164626454
0.1693.25391499756660.507935847398693
0.1793.38140664243380.618717790241973
0.1893.5318338483930.733277996304413
0.1993.70533981341450.84573683727833
0.293.90069391177270.949427577256229
0.2194.11545004833941.03942139272732
0.2294.34626878084911.11230651373426
0.2394.58935034184791.16715781708747
0.2494.84090528881471.20509460169276
0.2595.09758798003341.22923971916575
0.2695.35683186471541.24407728897735
0.2795.61704828971941.25518367274041
0.2895.87767587039611.2676858982315
0.2996.13909072048711.2860482042476
0.396.40240599205511.31318459757679
0.3196.66920059064611.35089256163871
0.3296.94122096830911.39842453549613
0.3397.22009689898171.45403153116381
0.3497.50710350775161.51462048638742
0.3597.80298991107421.57675302662954
0.3698.10788245551641.63658888583263
0.3798.42126024979441.69078520313375
0.3898.74199395791441.7362336410026
0.3999.06843572587021.77044656315173
0.499.39854747380861.79155167645041
0.4199.7300548582951.79859636569133
0.42100.0606135705011.79166530494712
0.43100.3879728784981.77155913934514
0.44100.7101192720031.73996719803601
0.45101.0253824252761.69937474859296
0.46101.3324882421331.65251138730269
0.47101.6305504654271.60162419214749
0.48101.9190027747321.54897487065656
0.49102.1974854941841.49560777792556
0.5102.4657119941651.44143604264565
0.51102.7233464841051.38569291530939
0.52102.9699249305911.32685325161322
0.53103.204843688841.26353373087422
0.54103.4274273464021.19480973064288
0.55103.6370709810651.1212139380506
0.56103.8334359817891.04423834146869
0.57104.0166660204360.966978848241571
0.58104.1875829949070.893757934588018
0.59104.3478227963570.830126394457109
0.6104.4998773815290.781571024673839
0.61104.6470218325840.75387128366378
0.62104.7931214574220.750777701437367
0.63104.9423329846820.773538594891255
0.64105.0987337985260.820211141586204
0.65105.2659316797250.885696275512996
0.66105.4467215778820.962864661165802
0.67105.6428616123621.04422259322683
0.68105.8550336226951.12266072056523
0.69106.0830309770711.19264609053297
0.7106.3261774104911.25190269902878
0.71106.5839289340471.30162848122038
0.72106.8565547927081.3478012094958
0.73107.1457459568981.39996536959424
0.74107.4549759844331.47001012198599
0.75107.7894533226921.5687585394283
0.76108.155564475161.70213073008617
0.77108.5598118295561.86825294292191
0.78109.0073827144242.05619070472564
0.79109.5006179548022.24698723546337
0.8110.0377394269072.41726483070818
0.81110.6122063816362.54297759589647
0.82111.2129714406292.60406568807145
0.83111.8256987667712.58880531958137
0.84112.4347288828322.49691150430533
0.85113.0253092933832.3393228130053
0.86113.5854658158932.13623009597067
0.87114.1069616171551.91093180309613
0.88114.5851064234471.68385072190745
0.89115.0176485690861.466462917997
0.9115.4034019387931.26018917050539
0.91115.741386014111.0606496080468
0.92116.0309668435030.865068542784908
0.93116.2729274584710.677214529209615
0.94116.4709799149660.507553998179534
0.95116.6333049527390.368148764804639
0.96116.7738802964140.269329472284299
0.97116.9120224435580.224655909547343
0.98117.0645501284040.251987497272688
0.99117.2242996925240.336027615986239


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')