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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Oct 2008 07:36:57 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/20/t12245098622mk4y0ofpj0m1u4.htm/, Retrieved Sun, 19 May 2024 12:55:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17251, Retrieved Sun, 19 May 2024 12:55:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Werkloosheid mannen] [2008-10-13 15:28:04] [7d3039e6253bb5fb3b26df1537d500b4]
- RMPD    [Harrell-Davis Quantiles] [Harell-davis reeks 1] [2008-10-20 13:36:57] [35348cd8592af0baf5f138bd59921307] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.8
7.6
7.5
7.6
7.5
7.3
7.6
7.5
7.6
7.9
7.9
8.1
8.2
8.0
7.5
6.8
6.5
6.6
7.6
8.0
8.0
7.7
7.5
7.6
7.7
7.9
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.1
7.9
7.3
6.9
6.6
6.7
6.9
7.0
7.1
7.2
7.1
6.9
7.0
6.8
6.4
6.7
6.7
6.4
6.3
6.2
6.5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17251&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17251&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17251&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.226346525443190.0949527432427399
0.026.266940819857560.090930583910604
0.036.311547813075150.0870237432614007
0.046.353839350376120.083927074403991
0.056.391906096742280.0831118061083644
0.066.426259600339290.0849966498771437
0.076.458079536364210.0885311927541163
0.086.488353404868340.0923570861728166
0.096.517656823747830.0956099764298977
0.16.54622635699950.0979712059570316
0.116.574107208668950.0994764948180694
0.126.601279164744350.100365241681428
0.136.627734268921380.100972831057905
0.146.653510644451040.101646161959968
0.156.678695788293870.102660564560846
0.166.703412353738420.104165171338878
0.176.727796871706520.106153995830002
0.186.751979313499610.108500135294158
0.196.776068849796020.111043062673153
0.26.800148336527520.113634610096481
0.216.824277226939520.116204096473606
0.226.848500401629860.118771056049979
0.236.872859329463140.121427723348812
0.246.897402096315790.124297772115912
0.256.922189821438960.127516529166335
0.266.947298282303250.131190563719215
0.276.972814709596320.135397111300458
0.286.998830443070130.140129240892210
0.297.025430457746680.145339222981626
0.37.052680847726220.150888441055594
0.317.080615396180780.156555718763147
0.327.109222492574360.162038005087728
0.337.138433879850680.166953473952892
0.347.168116909995070.170873569606243
0.357.198071991680980.173358185527254
0.367.228036594442350.174002019076034
0.377.257696487695060.172497473249989
0.387.286703914034140.168660504435476
0.397.314701298049780.162477755686300
0.47.34134809927480.154109712664779
0.417.36634774598820.143888993253012
0.427.389471386255650.132288426141103
0.437.410575516073560.119880555964635
0.447.42961133838620.107275749711152
0.457.446624829838190.095089437915173
0.467.461747750371210.0838623022114653
0.477.475181018699050.0740440978228752
0.487.487172815051850.0659418960047461
0.497.49799433532110.0597050884342839
0.57.507916248456170.0552914910074382
0.517.51718860974810.0524796068130469
0.527.526026323518220.0509313941897035
0.537.534601341529350.0502497525340419
0.547.543041767856120.0500777452726757
0.557.551437066436060.0501415293069729
0.567.559847774359990.0502847212785642
0.577.568317624114350.0504566825625905
0.587.576885837238810.0507122983883955
0.597.5855975762950.051174180879548
0.67.59451107302050.0519936880390473
0.617.60370067192240.0533160386237453
0.627.613255787746980.0552456102182314
0.637.6232764159290.0578096200198037
0.647.633866235192730.0609882702464496
0.657.645124446417670.0646795619707112
0.667.657137332603750.0687627949373133
0.677.669970211781760.0730801658417805
0.687.683660146210280.0774583277774988
0.697.69820962087210.0817042141824893
0.77.713581502765580.0856026560601791
0.717.72969592154210.088924997024386
0.727.746430130488550.0914315070200802
0.737.763622680527980.0929003359334488
0.747.781083115203060.093158634322378
0.757.798607699237620.0921274322963688
0.767.816000433143980.0898516337167754
0.777.833097019388540.08652527150377
0.787.849787977740380.0824892223224302
0.797.866036295661180.0782080826993166
0.87.881885282974140.0741948129224653
0.817.897453820571710.07093147930339
0.827.912918680340570.0687407585903839
0.837.928486421191730.0677212870626379
0.847.944359798479980.06770479971125
0.857.960705150133740.0683424573282491
0.867.977627739973780.0691929507524755
0.877.9951616322120.0698165253310992
0.888.013278961658970.0698560851819281
0.898.031919008620530.0690921583384456
0.98.051028266550410.067538988345316
0.918.07058866782310.0654974277367614
0.928.090598420577070.0634606385291242
0.938.11097308790570.061685519940006
0.948.131370989313830.0595466863696772
0.958.151019123279560.0553282166682144
0.968.168688246333530.0470957508105659
0.978.182962428935040.0343910787722436
0.988.192800192518220.0194727857901965
0.998.1981240811940.00675982971656908

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.22634652544319 & 0.0949527432427399 \tabularnewline
0.02 & 6.26694081985756 & 0.090930583910604 \tabularnewline
0.03 & 6.31154781307515 & 0.0870237432614007 \tabularnewline
0.04 & 6.35383935037612 & 0.083927074403991 \tabularnewline
0.05 & 6.39190609674228 & 0.0831118061083644 \tabularnewline
0.06 & 6.42625960033929 & 0.0849966498771437 \tabularnewline
0.07 & 6.45807953636421 & 0.0885311927541163 \tabularnewline
0.08 & 6.48835340486834 & 0.0923570861728166 \tabularnewline
0.09 & 6.51765682374783 & 0.0956099764298977 \tabularnewline
0.1 & 6.5462263569995 & 0.0979712059570316 \tabularnewline
0.11 & 6.57410720866895 & 0.0994764948180694 \tabularnewline
0.12 & 6.60127916474435 & 0.100365241681428 \tabularnewline
0.13 & 6.62773426892138 & 0.100972831057905 \tabularnewline
0.14 & 6.65351064445104 & 0.101646161959968 \tabularnewline
0.15 & 6.67869578829387 & 0.102660564560846 \tabularnewline
0.16 & 6.70341235373842 & 0.104165171338878 \tabularnewline
0.17 & 6.72779687170652 & 0.106153995830002 \tabularnewline
0.18 & 6.75197931349961 & 0.108500135294158 \tabularnewline
0.19 & 6.77606884979602 & 0.111043062673153 \tabularnewline
0.2 & 6.80014833652752 & 0.113634610096481 \tabularnewline
0.21 & 6.82427722693952 & 0.116204096473606 \tabularnewline
0.22 & 6.84850040162986 & 0.118771056049979 \tabularnewline
0.23 & 6.87285932946314 & 0.121427723348812 \tabularnewline
0.24 & 6.89740209631579 & 0.124297772115912 \tabularnewline
0.25 & 6.92218982143896 & 0.127516529166335 \tabularnewline
0.26 & 6.94729828230325 & 0.131190563719215 \tabularnewline
0.27 & 6.97281470959632 & 0.135397111300458 \tabularnewline
0.28 & 6.99883044307013 & 0.140129240892210 \tabularnewline
0.29 & 7.02543045774668 & 0.145339222981626 \tabularnewline
0.3 & 7.05268084772622 & 0.150888441055594 \tabularnewline
0.31 & 7.08061539618078 & 0.156555718763147 \tabularnewline
0.32 & 7.10922249257436 & 0.162038005087728 \tabularnewline
0.33 & 7.13843387985068 & 0.166953473952892 \tabularnewline
0.34 & 7.16811690999507 & 0.170873569606243 \tabularnewline
0.35 & 7.19807199168098 & 0.173358185527254 \tabularnewline
0.36 & 7.22803659444235 & 0.174002019076034 \tabularnewline
0.37 & 7.25769648769506 & 0.172497473249989 \tabularnewline
0.38 & 7.28670391403414 & 0.168660504435476 \tabularnewline
0.39 & 7.31470129804978 & 0.162477755686300 \tabularnewline
0.4 & 7.3413480992748 & 0.154109712664779 \tabularnewline
0.41 & 7.3663477459882 & 0.143888993253012 \tabularnewline
0.42 & 7.38947138625565 & 0.132288426141103 \tabularnewline
0.43 & 7.41057551607356 & 0.119880555964635 \tabularnewline
0.44 & 7.4296113383862 & 0.107275749711152 \tabularnewline
0.45 & 7.44662482983819 & 0.095089437915173 \tabularnewline
0.46 & 7.46174775037121 & 0.0838623022114653 \tabularnewline
0.47 & 7.47518101869905 & 0.0740440978228752 \tabularnewline
0.48 & 7.48717281505185 & 0.0659418960047461 \tabularnewline
0.49 & 7.4979943353211 & 0.0597050884342839 \tabularnewline
0.5 & 7.50791624845617 & 0.0552914910074382 \tabularnewline
0.51 & 7.5171886097481 & 0.0524796068130469 \tabularnewline
0.52 & 7.52602632351822 & 0.0509313941897035 \tabularnewline
0.53 & 7.53460134152935 & 0.0502497525340419 \tabularnewline
0.54 & 7.54304176785612 & 0.0500777452726757 \tabularnewline
0.55 & 7.55143706643606 & 0.0501415293069729 \tabularnewline
0.56 & 7.55984777435999 & 0.0502847212785642 \tabularnewline
0.57 & 7.56831762411435 & 0.0504566825625905 \tabularnewline
0.58 & 7.57688583723881 & 0.0507122983883955 \tabularnewline
0.59 & 7.585597576295 & 0.051174180879548 \tabularnewline
0.6 & 7.5945110730205 & 0.0519936880390473 \tabularnewline
0.61 & 7.6037006719224 & 0.0533160386237453 \tabularnewline
0.62 & 7.61325578774698 & 0.0552456102182314 \tabularnewline
0.63 & 7.623276415929 & 0.0578096200198037 \tabularnewline
0.64 & 7.63386623519273 & 0.0609882702464496 \tabularnewline
0.65 & 7.64512444641767 & 0.0646795619707112 \tabularnewline
0.66 & 7.65713733260375 & 0.0687627949373133 \tabularnewline
0.67 & 7.66997021178176 & 0.0730801658417805 \tabularnewline
0.68 & 7.68366014621028 & 0.0774583277774988 \tabularnewline
0.69 & 7.6982096208721 & 0.0817042141824893 \tabularnewline
0.7 & 7.71358150276558 & 0.0856026560601791 \tabularnewline
0.71 & 7.7296959215421 & 0.088924997024386 \tabularnewline
0.72 & 7.74643013048855 & 0.0914315070200802 \tabularnewline
0.73 & 7.76362268052798 & 0.0929003359334488 \tabularnewline
0.74 & 7.78108311520306 & 0.093158634322378 \tabularnewline
0.75 & 7.79860769923762 & 0.0921274322963688 \tabularnewline
0.76 & 7.81600043314398 & 0.0898516337167754 \tabularnewline
0.77 & 7.83309701938854 & 0.08652527150377 \tabularnewline
0.78 & 7.84978797774038 & 0.0824892223224302 \tabularnewline
0.79 & 7.86603629566118 & 0.0782080826993166 \tabularnewline
0.8 & 7.88188528297414 & 0.0741948129224653 \tabularnewline
0.81 & 7.89745382057171 & 0.07093147930339 \tabularnewline
0.82 & 7.91291868034057 & 0.0687407585903839 \tabularnewline
0.83 & 7.92848642119173 & 0.0677212870626379 \tabularnewline
0.84 & 7.94435979847998 & 0.06770479971125 \tabularnewline
0.85 & 7.96070515013374 & 0.0683424573282491 \tabularnewline
0.86 & 7.97762773997378 & 0.0691929507524755 \tabularnewline
0.87 & 7.995161632212 & 0.0698165253310992 \tabularnewline
0.88 & 8.01327896165897 & 0.0698560851819281 \tabularnewline
0.89 & 8.03191900862053 & 0.0690921583384456 \tabularnewline
0.9 & 8.05102826655041 & 0.067538988345316 \tabularnewline
0.91 & 8.0705886678231 & 0.0654974277367614 \tabularnewline
0.92 & 8.09059842057707 & 0.0634606385291242 \tabularnewline
0.93 & 8.1109730879057 & 0.061685519940006 \tabularnewline
0.94 & 8.13137098931383 & 0.0595466863696772 \tabularnewline
0.95 & 8.15101912327956 & 0.0553282166682144 \tabularnewline
0.96 & 8.16868824633353 & 0.0470957508105659 \tabularnewline
0.97 & 8.18296242893504 & 0.0343910787722436 \tabularnewline
0.98 & 8.19280019251822 & 0.0194727857901965 \tabularnewline
0.99 & 8.198124081194 & 0.00675982971656908 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17251&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]6.22634652544319[/C][C]0.0949527432427399[/C][/ROW]
[ROW][C]0.02[/C][C]6.26694081985756[/C][C]0.090930583910604[/C][/ROW]
[ROW][C]0.03[/C][C]6.31154781307515[/C][C]0.0870237432614007[/C][/ROW]
[ROW][C]0.04[/C][C]6.35383935037612[/C][C]0.083927074403991[/C][/ROW]
[ROW][C]0.05[/C][C]6.39190609674228[/C][C]0.0831118061083644[/C][/ROW]
[ROW][C]0.06[/C][C]6.42625960033929[/C][C]0.0849966498771437[/C][/ROW]
[ROW][C]0.07[/C][C]6.45807953636421[/C][C]0.0885311927541163[/C][/ROW]
[ROW][C]0.08[/C][C]6.48835340486834[/C][C]0.0923570861728166[/C][/ROW]
[ROW][C]0.09[/C][C]6.51765682374783[/C][C]0.0956099764298977[/C][/ROW]
[ROW][C]0.1[/C][C]6.5462263569995[/C][C]0.0979712059570316[/C][/ROW]
[ROW][C]0.11[/C][C]6.57410720866895[/C][C]0.0994764948180694[/C][/ROW]
[ROW][C]0.12[/C][C]6.60127916474435[/C][C]0.100365241681428[/C][/ROW]
[ROW][C]0.13[/C][C]6.62773426892138[/C][C]0.100972831057905[/C][/ROW]
[ROW][C]0.14[/C][C]6.65351064445104[/C][C]0.101646161959968[/C][/ROW]
[ROW][C]0.15[/C][C]6.67869578829387[/C][C]0.102660564560846[/C][/ROW]
[ROW][C]0.16[/C][C]6.70341235373842[/C][C]0.104165171338878[/C][/ROW]
[ROW][C]0.17[/C][C]6.72779687170652[/C][C]0.106153995830002[/C][/ROW]
[ROW][C]0.18[/C][C]6.75197931349961[/C][C]0.108500135294158[/C][/ROW]
[ROW][C]0.19[/C][C]6.77606884979602[/C][C]0.111043062673153[/C][/ROW]
[ROW][C]0.2[/C][C]6.80014833652752[/C][C]0.113634610096481[/C][/ROW]
[ROW][C]0.21[/C][C]6.82427722693952[/C][C]0.116204096473606[/C][/ROW]
[ROW][C]0.22[/C][C]6.84850040162986[/C][C]0.118771056049979[/C][/ROW]
[ROW][C]0.23[/C][C]6.87285932946314[/C][C]0.121427723348812[/C][/ROW]
[ROW][C]0.24[/C][C]6.89740209631579[/C][C]0.124297772115912[/C][/ROW]
[ROW][C]0.25[/C][C]6.92218982143896[/C][C]0.127516529166335[/C][/ROW]
[ROW][C]0.26[/C][C]6.94729828230325[/C][C]0.131190563719215[/C][/ROW]
[ROW][C]0.27[/C][C]6.97281470959632[/C][C]0.135397111300458[/C][/ROW]
[ROW][C]0.28[/C][C]6.99883044307013[/C][C]0.140129240892210[/C][/ROW]
[ROW][C]0.29[/C][C]7.02543045774668[/C][C]0.145339222981626[/C][/ROW]
[ROW][C]0.3[/C][C]7.05268084772622[/C][C]0.150888441055594[/C][/ROW]
[ROW][C]0.31[/C][C]7.08061539618078[/C][C]0.156555718763147[/C][/ROW]
[ROW][C]0.32[/C][C]7.10922249257436[/C][C]0.162038005087728[/C][/ROW]
[ROW][C]0.33[/C][C]7.13843387985068[/C][C]0.166953473952892[/C][/ROW]
[ROW][C]0.34[/C][C]7.16811690999507[/C][C]0.170873569606243[/C][/ROW]
[ROW][C]0.35[/C][C]7.19807199168098[/C][C]0.173358185527254[/C][/ROW]
[ROW][C]0.36[/C][C]7.22803659444235[/C][C]0.174002019076034[/C][/ROW]
[ROW][C]0.37[/C][C]7.25769648769506[/C][C]0.172497473249989[/C][/ROW]
[ROW][C]0.38[/C][C]7.28670391403414[/C][C]0.168660504435476[/C][/ROW]
[ROW][C]0.39[/C][C]7.31470129804978[/C][C]0.162477755686300[/C][/ROW]
[ROW][C]0.4[/C][C]7.3413480992748[/C][C]0.154109712664779[/C][/ROW]
[ROW][C]0.41[/C][C]7.3663477459882[/C][C]0.143888993253012[/C][/ROW]
[ROW][C]0.42[/C][C]7.38947138625565[/C][C]0.132288426141103[/C][/ROW]
[ROW][C]0.43[/C][C]7.41057551607356[/C][C]0.119880555964635[/C][/ROW]
[ROW][C]0.44[/C][C]7.4296113383862[/C][C]0.107275749711152[/C][/ROW]
[ROW][C]0.45[/C][C]7.44662482983819[/C][C]0.095089437915173[/C][/ROW]
[ROW][C]0.46[/C][C]7.46174775037121[/C][C]0.0838623022114653[/C][/ROW]
[ROW][C]0.47[/C][C]7.47518101869905[/C][C]0.0740440978228752[/C][/ROW]
[ROW][C]0.48[/C][C]7.48717281505185[/C][C]0.0659418960047461[/C][/ROW]
[ROW][C]0.49[/C][C]7.4979943353211[/C][C]0.0597050884342839[/C][/ROW]
[ROW][C]0.5[/C][C]7.50791624845617[/C][C]0.0552914910074382[/C][/ROW]
[ROW][C]0.51[/C][C]7.5171886097481[/C][C]0.0524796068130469[/C][/ROW]
[ROW][C]0.52[/C][C]7.52602632351822[/C][C]0.0509313941897035[/C][/ROW]
[ROW][C]0.53[/C][C]7.53460134152935[/C][C]0.0502497525340419[/C][/ROW]
[ROW][C]0.54[/C][C]7.54304176785612[/C][C]0.0500777452726757[/C][/ROW]
[ROW][C]0.55[/C][C]7.55143706643606[/C][C]0.0501415293069729[/C][/ROW]
[ROW][C]0.56[/C][C]7.55984777435999[/C][C]0.0502847212785642[/C][/ROW]
[ROW][C]0.57[/C][C]7.56831762411435[/C][C]0.0504566825625905[/C][/ROW]
[ROW][C]0.58[/C][C]7.57688583723881[/C][C]0.0507122983883955[/C][/ROW]
[ROW][C]0.59[/C][C]7.585597576295[/C][C]0.051174180879548[/C][/ROW]
[ROW][C]0.6[/C][C]7.5945110730205[/C][C]0.0519936880390473[/C][/ROW]
[ROW][C]0.61[/C][C]7.6037006719224[/C][C]0.0533160386237453[/C][/ROW]
[ROW][C]0.62[/C][C]7.61325578774698[/C][C]0.0552456102182314[/C][/ROW]
[ROW][C]0.63[/C][C]7.623276415929[/C][C]0.0578096200198037[/C][/ROW]
[ROW][C]0.64[/C][C]7.63386623519273[/C][C]0.0609882702464496[/C][/ROW]
[ROW][C]0.65[/C][C]7.64512444641767[/C][C]0.0646795619707112[/C][/ROW]
[ROW][C]0.66[/C][C]7.65713733260375[/C][C]0.0687627949373133[/C][/ROW]
[ROW][C]0.67[/C][C]7.66997021178176[/C][C]0.0730801658417805[/C][/ROW]
[ROW][C]0.68[/C][C]7.68366014621028[/C][C]0.0774583277774988[/C][/ROW]
[ROW][C]0.69[/C][C]7.6982096208721[/C][C]0.0817042141824893[/C][/ROW]
[ROW][C]0.7[/C][C]7.71358150276558[/C][C]0.0856026560601791[/C][/ROW]
[ROW][C]0.71[/C][C]7.7296959215421[/C][C]0.088924997024386[/C][/ROW]
[ROW][C]0.72[/C][C]7.74643013048855[/C][C]0.0914315070200802[/C][/ROW]
[ROW][C]0.73[/C][C]7.76362268052798[/C][C]0.0929003359334488[/C][/ROW]
[ROW][C]0.74[/C][C]7.78108311520306[/C][C]0.093158634322378[/C][/ROW]
[ROW][C]0.75[/C][C]7.79860769923762[/C][C]0.0921274322963688[/C][/ROW]
[ROW][C]0.76[/C][C]7.81600043314398[/C][C]0.0898516337167754[/C][/ROW]
[ROW][C]0.77[/C][C]7.83309701938854[/C][C]0.08652527150377[/C][/ROW]
[ROW][C]0.78[/C][C]7.84978797774038[/C][C]0.0824892223224302[/C][/ROW]
[ROW][C]0.79[/C][C]7.86603629566118[/C][C]0.0782080826993166[/C][/ROW]
[ROW][C]0.8[/C][C]7.88188528297414[/C][C]0.0741948129224653[/C][/ROW]
[ROW][C]0.81[/C][C]7.89745382057171[/C][C]0.07093147930339[/C][/ROW]
[ROW][C]0.82[/C][C]7.91291868034057[/C][C]0.0687407585903839[/C][/ROW]
[ROW][C]0.83[/C][C]7.92848642119173[/C][C]0.0677212870626379[/C][/ROW]
[ROW][C]0.84[/C][C]7.94435979847998[/C][C]0.06770479971125[/C][/ROW]
[ROW][C]0.85[/C][C]7.96070515013374[/C][C]0.0683424573282491[/C][/ROW]
[ROW][C]0.86[/C][C]7.97762773997378[/C][C]0.0691929507524755[/C][/ROW]
[ROW][C]0.87[/C][C]7.995161632212[/C][C]0.0698165253310992[/C][/ROW]
[ROW][C]0.88[/C][C]8.01327896165897[/C][C]0.0698560851819281[/C][/ROW]
[ROW][C]0.89[/C][C]8.03191900862053[/C][C]0.0690921583384456[/C][/ROW]
[ROW][C]0.9[/C][C]8.05102826655041[/C][C]0.067538988345316[/C][/ROW]
[ROW][C]0.91[/C][C]8.0705886678231[/C][C]0.0654974277367614[/C][/ROW]
[ROW][C]0.92[/C][C]8.09059842057707[/C][C]0.0634606385291242[/C][/ROW]
[ROW][C]0.93[/C][C]8.1109730879057[/C][C]0.061685519940006[/C][/ROW]
[ROW][C]0.94[/C][C]8.13137098931383[/C][C]0.0595466863696772[/C][/ROW]
[ROW][C]0.95[/C][C]8.15101912327956[/C][C]0.0553282166682144[/C][/ROW]
[ROW][C]0.96[/C][C]8.16868824633353[/C][C]0.0470957508105659[/C][/ROW]
[ROW][C]0.97[/C][C]8.18296242893504[/C][C]0.0343910787722436[/C][/ROW]
[ROW][C]0.98[/C][C]8.19280019251822[/C][C]0.0194727857901965[/C][/ROW]
[ROW][C]0.99[/C][C]8.198124081194[/C][C]0.00675982971656908[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17251&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17251&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
0.016.226346525443190.0949527432427399
0.026.266940819857560.090930583910604
0.036.311547813075150.0870237432614007
0.046.353839350376120.083927074403991
0.056.391906096742280.0831118061083644
0.066.426259600339290.0849966498771437
0.076.458079536364210.0885311927541163
0.086.488353404868340.0923570861728166
0.096.517656823747830.0956099764298977
0.16.54622635699950.0979712059570316
0.116.574107208668950.0994764948180694
0.126.601279164744350.100365241681428
0.136.627734268921380.100972831057905
0.146.653510644451040.101646161959968
0.156.678695788293870.102660564560846
0.166.703412353738420.104165171338878
0.176.727796871706520.106153995830002
0.186.751979313499610.108500135294158
0.196.776068849796020.111043062673153
0.26.800148336527520.113634610096481
0.216.824277226939520.116204096473606
0.226.848500401629860.118771056049979
0.236.872859329463140.121427723348812
0.246.897402096315790.124297772115912
0.256.922189821438960.127516529166335
0.266.947298282303250.131190563719215
0.276.972814709596320.135397111300458
0.286.998830443070130.140129240892210
0.297.025430457746680.145339222981626
0.37.052680847726220.150888441055594
0.317.080615396180780.156555718763147
0.327.109222492574360.162038005087728
0.337.138433879850680.166953473952892
0.347.168116909995070.170873569606243
0.357.198071991680980.173358185527254
0.367.228036594442350.174002019076034
0.377.257696487695060.172497473249989
0.387.286703914034140.168660504435476
0.397.314701298049780.162477755686300
0.47.34134809927480.154109712664779
0.417.36634774598820.143888993253012
0.427.389471386255650.132288426141103
0.437.410575516073560.119880555964635
0.447.42961133838620.107275749711152
0.457.446624829838190.095089437915173
0.467.461747750371210.0838623022114653
0.477.475181018699050.0740440978228752
0.487.487172815051850.0659418960047461
0.497.49799433532110.0597050884342839
0.57.507916248456170.0552914910074382
0.517.51718860974810.0524796068130469
0.527.526026323518220.0509313941897035
0.537.534601341529350.0502497525340419
0.547.543041767856120.0500777452726757
0.557.551437066436060.0501415293069729
0.567.559847774359990.0502847212785642
0.577.568317624114350.0504566825625905
0.587.576885837238810.0507122983883955
0.597.5855975762950.051174180879548
0.67.59451107302050.0519936880390473
0.617.60370067192240.0533160386237453
0.627.613255787746980.0552456102182314
0.637.6232764159290.0578096200198037
0.647.633866235192730.0609882702464496
0.657.645124446417670.0646795619707112
0.667.657137332603750.0687627949373133
0.677.669970211781760.0730801658417805
0.687.683660146210280.0774583277774988
0.697.69820962087210.0817042141824893
0.77.713581502765580.0856026560601791
0.717.72969592154210.088924997024386
0.727.746430130488550.0914315070200802
0.737.763622680527980.0929003359334488
0.747.781083115203060.093158634322378
0.757.798607699237620.0921274322963688
0.767.816000433143980.0898516337167754
0.777.833097019388540.08652527150377
0.787.849787977740380.0824892223224302
0.797.866036295661180.0782080826993166
0.87.881885282974140.0741948129224653
0.817.897453820571710.07093147930339
0.827.912918680340570.0687407585903839
0.837.928486421191730.0677212870626379
0.847.944359798479980.06770479971125
0.857.960705150133740.0683424573282491
0.867.977627739973780.0691929507524755
0.877.9951616322120.0698165253310992
0.888.013278961658970.0698560851819281
0.898.031919008620530.0690921583384456
0.98.051028266550410.067538988345316
0.918.07058866782310.0654974277367614
0.928.090598420577070.0634606385291242
0.938.11097308790570.061685519940006
0.948.131370989313830.0595466863696772
0.958.151019123279560.0553282166682144
0.968.168688246333530.0470957508105659
0.978.182962428935040.0343910787722436
0.988.192800192518220.0194727857901965
0.998.1981240811940.00675982971656908


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')