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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 computationWed, 22 Feb 2012 18:04:31 -0500
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/Feb/22/t13299518954vagga2c1mgdeq2.htm/, Retrieved Sun, 17 May 2026 21:29:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163270, Retrieved Sun, 17 May 2026 21:29:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact308

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] [aantal bouwvergun...] [2012-02-22 23:04:31] [1924da7ecb4a93ab5e2de1fdfa2878e4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3440
2678
2981
2260
2844
2546
2456
2295
2379
2479
2057
2280
2351
2276
2548
2311
2201
2725
2408
2139
1898
2539
2070
2063
2565
2442
2194
2798
2074
2628
2289
2154
2468
2137
1850
2078
1791
1755
2232
1954
1822
2522
2074
2366
2173
2094
1833
1858
2040
2133
2921
3252
3318
3556
2305
1618
1314
1501
1414
1661

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163270&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163270&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163270&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011341.5196499574697.6887397441718
0.021385.83607196777102.019330538392
0.031437.68738059204110.268703096708
0.041490.56414081251117.295333947727
0.051541.24082453765120.160283792936
0.061588.35965144508118.718858222269
0.071631.35674651743114.01541552779
0.081670.03094952637107.228127668705
0.091704.430876220199.3582266652116
0.11734.8208440872991.3075962734808
0.111761.6469158276283.9745268975305
0.121785.4921698157178.2185969324136
0.131807.0216931854774.7057456752348
0.141826.9185848711173.7144407070731
0.151845.8161645389575.0202804280078
0.161864.2359231781577.9629951983339
0.171882.54173896181.640924090153
0.181900.9180243543185.1285430327946
0.191919.3744180163387.6302495086243
0.21937.7743615703688.5744444669479
0.211955.8808032049487.6714160034942
0.221973.4100318185184.9045290938393
0.231990.0843896798780.5144763946341
0.242005.6760639381574.922611670365
0.252020.0367788817468.6614156369793
0.262033.1113290553462.2935378181794
0.272044.9358451072756.336517452641
0.282055.6239487624851.2143665197514
0.292065.3452393707547.2045595868652
0.32074.3008210014244.4344030447322
0.312082.6999931114242.8672333296208
0.322090.7410835321942.3507002309683
0.332098.598031089242.6570405103418
0.342106.4130203123743.5514009393135
0.352114.2944424786244.8325831860401
0.362122.3188154144546.3362753539459
0.372130.5350552693247.9493222228317
0.382138.9696005146249.5879432078662
0.392147.6312399222451.1904655711987
0.42156.5149719654952.7126837447948
0.412165.6047074476454.1013143761341
0.422174.8750268265655.3082553928906
0.432184.2924580886456.2789455123331
0.442193.8168262033356.9666606006738
0.452203.4031515782957.3333058872431
0.462213.0043801672857.3602973322439
0.472222.5749666081957.0598648525038
0.482232.0750643357456.4722493838018
0.492241.4748583861755.6758826314811
0.52250.7584493301154.7669242262601
0.512259.9266828694853.8778036076662
0.522268.9984200148253.1411219774491
0.532278.0099380539352.6769214474774
0.542287.012407511252.5894392804487
0.552296.0676607107752.9426654147945
0.562305.2427080917353.7474420105885
0.572314.603630598754.9651816542421
0.582324.2095549101956.5221440582691
0.592334.1073943535958.300255455897
0.62344.3279207680660.1765022506968
0.612354.8835449085662.0166493160261
0.622365.7679592015463.6977108872236
0.632376.9575753657465.1225202686536
0.642388.4145077401166.2139980912264
0.652400.0907408025766.9260698415414
0.662411.9330928722967.2497538402263
0.672423.8886457686867.1962191950465
0.682435.9104291579966.8209440545633
0.692447.9632840820266.1944052508659
0.72460.0299232549265.4153772488156
0.712472.1171953621164.6138764438638
0.722484.2624054840263.9452240860942
0.732496.5392453530963.6009011217243
0.742509.0625073962163.8000509733487
0.752521.9904202213964.7787865871133
0.762535.5233175090466.7647639836636
0.772549.8976026906269.9250974892611
0.782565.3747041987974.3303886828637
0.792582.2259218531479.9191979348381
0.82600.7155880746286.4996966570469
0.812621.0865025507193.7758693996603
0.822643.55271117511101.414856512459
0.832668.30484828216109.10625233305
0.842695.53181247598116.659220881231
0.852725.45883044984124.077610168756
0.862758.39550047122131.627200524596
0.872794.77849683957139.827831729961
0.882835.18434237834149.33851344479
0.892880.28290332977160.643217112095
0.92930.70958054494173.581566454138
0.912986.86079073759186.871274425439
0.923048.66332229304197.992876528353
0.933115.41736202753203.681305989957
0.943185.82684034171201.092522853949
0.953258.25223382443189.230535394868
0.963331.00153555119169.86193466004
0.973402.15891274624147.30823687538
0.983468.36666039927127.510160179433
0.993522.90968992358116.318210271183

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1341.51964995746 & 97.6887397441718 \tabularnewline
0.02 & 1385.83607196777 & 102.019330538392 \tabularnewline
0.03 & 1437.68738059204 & 110.268703096708 \tabularnewline
0.04 & 1490.56414081251 & 117.295333947727 \tabularnewline
0.05 & 1541.24082453765 & 120.160283792936 \tabularnewline
0.06 & 1588.35965144508 & 118.718858222269 \tabularnewline
0.07 & 1631.35674651743 & 114.01541552779 \tabularnewline
0.08 & 1670.03094952637 & 107.228127668705 \tabularnewline
0.09 & 1704.4308762201 & 99.3582266652116 \tabularnewline
0.1 & 1734.82084408729 & 91.3075962734808 \tabularnewline
0.11 & 1761.64691582762 & 83.9745268975305 \tabularnewline
0.12 & 1785.49216981571 & 78.2185969324136 \tabularnewline
0.13 & 1807.02169318547 & 74.7057456752348 \tabularnewline
0.14 & 1826.91858487111 & 73.7144407070731 \tabularnewline
0.15 & 1845.81616453895 & 75.0202804280078 \tabularnewline
0.16 & 1864.23592317815 & 77.9629951983339 \tabularnewline
0.17 & 1882.541738961 & 81.640924090153 \tabularnewline
0.18 & 1900.91802435431 & 85.1285430327946 \tabularnewline
0.19 & 1919.37441801633 & 87.6302495086243 \tabularnewline
0.2 & 1937.77436157036 & 88.5744444669479 \tabularnewline
0.21 & 1955.88080320494 & 87.6714160034942 \tabularnewline
0.22 & 1973.41003181851 & 84.9045290938393 \tabularnewline
0.23 & 1990.08438967987 & 80.5144763946341 \tabularnewline
0.24 & 2005.67606393815 & 74.922611670365 \tabularnewline
0.25 & 2020.03677888174 & 68.6614156369793 \tabularnewline
0.26 & 2033.11132905534 & 62.2935378181794 \tabularnewline
0.27 & 2044.93584510727 & 56.336517452641 \tabularnewline
0.28 & 2055.62394876248 & 51.2143665197514 \tabularnewline
0.29 & 2065.34523937075 & 47.2045595868652 \tabularnewline
0.3 & 2074.30082100142 & 44.4344030447322 \tabularnewline
0.31 & 2082.69999311142 & 42.8672333296208 \tabularnewline
0.32 & 2090.74108353219 & 42.3507002309683 \tabularnewline
0.33 & 2098.5980310892 & 42.6570405103418 \tabularnewline
0.34 & 2106.41302031237 & 43.5514009393135 \tabularnewline
0.35 & 2114.29444247862 & 44.8325831860401 \tabularnewline
0.36 & 2122.31881541445 & 46.3362753539459 \tabularnewline
0.37 & 2130.53505526932 & 47.9493222228317 \tabularnewline
0.38 & 2138.96960051462 & 49.5879432078662 \tabularnewline
0.39 & 2147.63123992224 & 51.1904655711987 \tabularnewline
0.4 & 2156.51497196549 & 52.7126837447948 \tabularnewline
0.41 & 2165.60470744764 & 54.1013143761341 \tabularnewline
0.42 & 2174.87502682656 & 55.3082553928906 \tabularnewline
0.43 & 2184.29245808864 & 56.2789455123331 \tabularnewline
0.44 & 2193.81682620333 & 56.9666606006738 \tabularnewline
0.45 & 2203.40315157829 & 57.3333058872431 \tabularnewline
0.46 & 2213.00438016728 & 57.3602973322439 \tabularnewline
0.47 & 2222.57496660819 & 57.0598648525038 \tabularnewline
0.48 & 2232.07506433574 & 56.4722493838018 \tabularnewline
0.49 & 2241.47485838617 & 55.6758826314811 \tabularnewline
0.5 & 2250.75844933011 & 54.7669242262601 \tabularnewline
0.51 & 2259.92668286948 & 53.8778036076662 \tabularnewline
0.52 & 2268.99842001482 & 53.1411219774491 \tabularnewline
0.53 & 2278.00993805393 & 52.6769214474774 \tabularnewline
0.54 & 2287.0124075112 & 52.5894392804487 \tabularnewline
0.55 & 2296.06766071077 & 52.9426654147945 \tabularnewline
0.56 & 2305.24270809173 & 53.7474420105885 \tabularnewline
0.57 & 2314.6036305987 & 54.9651816542421 \tabularnewline
0.58 & 2324.20955491019 & 56.5221440582691 \tabularnewline
0.59 & 2334.10739435359 & 58.300255455897 \tabularnewline
0.6 & 2344.32792076806 & 60.1765022506968 \tabularnewline
0.61 & 2354.88354490856 & 62.0166493160261 \tabularnewline
0.62 & 2365.76795920154 & 63.6977108872236 \tabularnewline
0.63 & 2376.95757536574 & 65.1225202686536 \tabularnewline
0.64 & 2388.41450774011 & 66.2139980912264 \tabularnewline
0.65 & 2400.09074080257 & 66.9260698415414 \tabularnewline
0.66 & 2411.93309287229 & 67.2497538402263 \tabularnewline
0.67 & 2423.88864576868 & 67.1962191950465 \tabularnewline
0.68 & 2435.91042915799 & 66.8209440545633 \tabularnewline
0.69 & 2447.96328408202 & 66.1944052508659 \tabularnewline
0.7 & 2460.02992325492 & 65.4153772488156 \tabularnewline
0.71 & 2472.11719536211 & 64.6138764438638 \tabularnewline
0.72 & 2484.26240548402 & 63.9452240860942 \tabularnewline
0.73 & 2496.53924535309 & 63.6009011217243 \tabularnewline
0.74 & 2509.06250739621 & 63.8000509733487 \tabularnewline
0.75 & 2521.99042022139 & 64.7787865871133 \tabularnewline
0.76 & 2535.52331750904 & 66.7647639836636 \tabularnewline
0.77 & 2549.89760269062 & 69.9250974892611 \tabularnewline
0.78 & 2565.37470419879 & 74.3303886828637 \tabularnewline
0.79 & 2582.22592185314 & 79.9191979348381 \tabularnewline
0.8 & 2600.71558807462 & 86.4996966570469 \tabularnewline
0.81 & 2621.08650255071 & 93.7758693996603 \tabularnewline
0.82 & 2643.55271117511 & 101.414856512459 \tabularnewline
0.83 & 2668.30484828216 & 109.10625233305 \tabularnewline
0.84 & 2695.53181247598 & 116.659220881231 \tabularnewline
0.85 & 2725.45883044984 & 124.077610168756 \tabularnewline
0.86 & 2758.39550047122 & 131.627200524596 \tabularnewline
0.87 & 2794.77849683957 & 139.827831729961 \tabularnewline
0.88 & 2835.18434237834 & 149.33851344479 \tabularnewline
0.89 & 2880.28290332977 & 160.643217112095 \tabularnewline
0.9 & 2930.70958054494 & 173.581566454138 \tabularnewline
0.91 & 2986.86079073759 & 186.871274425439 \tabularnewline
0.92 & 3048.66332229304 & 197.992876528353 \tabularnewline
0.93 & 3115.41736202753 & 203.681305989957 \tabularnewline
0.94 & 3185.82684034171 & 201.092522853949 \tabularnewline
0.95 & 3258.25223382443 & 189.230535394868 \tabularnewline
0.96 & 3331.00153555119 & 169.86193466004 \tabularnewline
0.97 & 3402.15891274624 & 147.30823687538 \tabularnewline
0.98 & 3468.36666039927 & 127.510160179433 \tabularnewline
0.99 & 3522.90968992358 & 116.318210271183 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163270&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]1341.51964995746[/C][C]97.6887397441718[/C][/ROW]
[ROW][C]0.02[/C][C]1385.83607196777[/C][C]102.019330538392[/C][/ROW]
[ROW][C]0.03[/C][C]1437.68738059204[/C][C]110.268703096708[/C][/ROW]
[ROW][C]0.04[/C][C]1490.56414081251[/C][C]117.295333947727[/C][/ROW]
[ROW][C]0.05[/C][C]1541.24082453765[/C][C]120.160283792936[/C][/ROW]
[ROW][C]0.06[/C][C]1588.35965144508[/C][C]118.718858222269[/C][/ROW]
[ROW][C]0.07[/C][C]1631.35674651743[/C][C]114.01541552779[/C][/ROW]
[ROW][C]0.08[/C][C]1670.03094952637[/C][C]107.228127668705[/C][/ROW]
[ROW][C]0.09[/C][C]1704.4308762201[/C][C]99.3582266652116[/C][/ROW]
[ROW][C]0.1[/C][C]1734.82084408729[/C][C]91.3075962734808[/C][/ROW]
[ROW][C]0.11[/C][C]1761.64691582762[/C][C]83.9745268975305[/C][/ROW]
[ROW][C]0.12[/C][C]1785.49216981571[/C][C]78.2185969324136[/C][/ROW]
[ROW][C]0.13[/C][C]1807.02169318547[/C][C]74.7057456752348[/C][/ROW]
[ROW][C]0.14[/C][C]1826.91858487111[/C][C]73.7144407070731[/C][/ROW]
[ROW][C]0.15[/C][C]1845.81616453895[/C][C]75.0202804280078[/C][/ROW]
[ROW][C]0.16[/C][C]1864.23592317815[/C][C]77.9629951983339[/C][/ROW]
[ROW][C]0.17[/C][C]1882.541738961[/C][C]81.640924090153[/C][/ROW]
[ROW][C]0.18[/C][C]1900.91802435431[/C][C]85.1285430327946[/C][/ROW]
[ROW][C]0.19[/C][C]1919.37441801633[/C][C]87.6302495086243[/C][/ROW]
[ROW][C]0.2[/C][C]1937.77436157036[/C][C]88.5744444669479[/C][/ROW]
[ROW][C]0.21[/C][C]1955.88080320494[/C][C]87.6714160034942[/C][/ROW]
[ROW][C]0.22[/C][C]1973.41003181851[/C][C]84.9045290938393[/C][/ROW]
[ROW][C]0.23[/C][C]1990.08438967987[/C][C]80.5144763946341[/C][/ROW]
[ROW][C]0.24[/C][C]2005.67606393815[/C][C]74.922611670365[/C][/ROW]
[ROW][C]0.25[/C][C]2020.03677888174[/C][C]68.6614156369793[/C][/ROW]
[ROW][C]0.26[/C][C]2033.11132905534[/C][C]62.2935378181794[/C][/ROW]
[ROW][C]0.27[/C][C]2044.93584510727[/C][C]56.336517452641[/C][/ROW]
[ROW][C]0.28[/C][C]2055.62394876248[/C][C]51.2143665197514[/C][/ROW]
[ROW][C]0.29[/C][C]2065.34523937075[/C][C]47.2045595868652[/C][/ROW]
[ROW][C]0.3[/C][C]2074.30082100142[/C][C]44.4344030447322[/C][/ROW]
[ROW][C]0.31[/C][C]2082.69999311142[/C][C]42.8672333296208[/C][/ROW]
[ROW][C]0.32[/C][C]2090.74108353219[/C][C]42.3507002309683[/C][/ROW]
[ROW][C]0.33[/C][C]2098.5980310892[/C][C]42.6570405103418[/C][/ROW]
[ROW][C]0.34[/C][C]2106.41302031237[/C][C]43.5514009393135[/C][/ROW]
[ROW][C]0.35[/C][C]2114.29444247862[/C][C]44.8325831860401[/C][/ROW]
[ROW][C]0.36[/C][C]2122.31881541445[/C][C]46.3362753539459[/C][/ROW]
[ROW][C]0.37[/C][C]2130.53505526932[/C][C]47.9493222228317[/C][/ROW]
[ROW][C]0.38[/C][C]2138.96960051462[/C][C]49.5879432078662[/C][/ROW]
[ROW][C]0.39[/C][C]2147.63123992224[/C][C]51.1904655711987[/C][/ROW]
[ROW][C]0.4[/C][C]2156.51497196549[/C][C]52.7126837447948[/C][/ROW]
[ROW][C]0.41[/C][C]2165.60470744764[/C][C]54.1013143761341[/C][/ROW]
[ROW][C]0.42[/C][C]2174.87502682656[/C][C]55.3082553928906[/C][/ROW]
[ROW][C]0.43[/C][C]2184.29245808864[/C][C]56.2789455123331[/C][/ROW]
[ROW][C]0.44[/C][C]2193.81682620333[/C][C]56.9666606006738[/C][/ROW]
[ROW][C]0.45[/C][C]2203.40315157829[/C][C]57.3333058872431[/C][/ROW]
[ROW][C]0.46[/C][C]2213.00438016728[/C][C]57.3602973322439[/C][/ROW]
[ROW][C]0.47[/C][C]2222.57496660819[/C][C]57.0598648525038[/C][/ROW]
[ROW][C]0.48[/C][C]2232.07506433574[/C][C]56.4722493838018[/C][/ROW]
[ROW][C]0.49[/C][C]2241.47485838617[/C][C]55.6758826314811[/C][/ROW]
[ROW][C]0.5[/C][C]2250.75844933011[/C][C]54.7669242262601[/C][/ROW]
[ROW][C]0.51[/C][C]2259.92668286948[/C][C]53.8778036076662[/C][/ROW]
[ROW][C]0.52[/C][C]2268.99842001482[/C][C]53.1411219774491[/C][/ROW]
[ROW][C]0.53[/C][C]2278.00993805393[/C][C]52.6769214474774[/C][/ROW]
[ROW][C]0.54[/C][C]2287.0124075112[/C][C]52.5894392804487[/C][/ROW]
[ROW][C]0.55[/C][C]2296.06766071077[/C][C]52.9426654147945[/C][/ROW]
[ROW][C]0.56[/C][C]2305.24270809173[/C][C]53.7474420105885[/C][/ROW]
[ROW][C]0.57[/C][C]2314.6036305987[/C][C]54.9651816542421[/C][/ROW]
[ROW][C]0.58[/C][C]2324.20955491019[/C][C]56.5221440582691[/C][/ROW]
[ROW][C]0.59[/C][C]2334.10739435359[/C][C]58.300255455897[/C][/ROW]
[ROW][C]0.6[/C][C]2344.32792076806[/C][C]60.1765022506968[/C][/ROW]
[ROW][C]0.61[/C][C]2354.88354490856[/C][C]62.0166493160261[/C][/ROW]
[ROW][C]0.62[/C][C]2365.76795920154[/C][C]63.6977108872236[/C][/ROW]
[ROW][C]0.63[/C][C]2376.95757536574[/C][C]65.1225202686536[/C][/ROW]
[ROW][C]0.64[/C][C]2388.41450774011[/C][C]66.2139980912264[/C][/ROW]
[ROW][C]0.65[/C][C]2400.09074080257[/C][C]66.9260698415414[/C][/ROW]
[ROW][C]0.66[/C][C]2411.93309287229[/C][C]67.2497538402263[/C][/ROW]
[ROW][C]0.67[/C][C]2423.88864576868[/C][C]67.1962191950465[/C][/ROW]
[ROW][C]0.68[/C][C]2435.91042915799[/C][C]66.8209440545633[/C][/ROW]
[ROW][C]0.69[/C][C]2447.96328408202[/C][C]66.1944052508659[/C][/ROW]
[ROW][C]0.7[/C][C]2460.02992325492[/C][C]65.4153772488156[/C][/ROW]
[ROW][C]0.71[/C][C]2472.11719536211[/C][C]64.6138764438638[/C][/ROW]
[ROW][C]0.72[/C][C]2484.26240548402[/C][C]63.9452240860942[/C][/ROW]
[ROW][C]0.73[/C][C]2496.53924535309[/C][C]63.6009011217243[/C][/ROW]
[ROW][C]0.74[/C][C]2509.06250739621[/C][C]63.8000509733487[/C][/ROW]
[ROW][C]0.75[/C][C]2521.99042022139[/C][C]64.7787865871133[/C][/ROW]
[ROW][C]0.76[/C][C]2535.52331750904[/C][C]66.7647639836636[/C][/ROW]
[ROW][C]0.77[/C][C]2549.89760269062[/C][C]69.9250974892611[/C][/ROW]
[ROW][C]0.78[/C][C]2565.37470419879[/C][C]74.3303886828637[/C][/ROW]
[ROW][C]0.79[/C][C]2582.22592185314[/C][C]79.9191979348381[/C][/ROW]
[ROW][C]0.8[/C][C]2600.71558807462[/C][C]86.4996966570469[/C][/ROW]
[ROW][C]0.81[/C][C]2621.08650255071[/C][C]93.7758693996603[/C][/ROW]
[ROW][C]0.82[/C][C]2643.55271117511[/C][C]101.414856512459[/C][/ROW]
[ROW][C]0.83[/C][C]2668.30484828216[/C][C]109.10625233305[/C][/ROW]
[ROW][C]0.84[/C][C]2695.53181247598[/C][C]116.659220881231[/C][/ROW]
[ROW][C]0.85[/C][C]2725.45883044984[/C][C]124.077610168756[/C][/ROW]
[ROW][C]0.86[/C][C]2758.39550047122[/C][C]131.627200524596[/C][/ROW]
[ROW][C]0.87[/C][C]2794.77849683957[/C][C]139.827831729961[/C][/ROW]
[ROW][C]0.88[/C][C]2835.18434237834[/C][C]149.33851344479[/C][/ROW]
[ROW][C]0.89[/C][C]2880.28290332977[/C][C]160.643217112095[/C][/ROW]
[ROW][C]0.9[/C][C]2930.70958054494[/C][C]173.581566454138[/C][/ROW]
[ROW][C]0.91[/C][C]2986.86079073759[/C][C]186.871274425439[/C][/ROW]
[ROW][C]0.92[/C][C]3048.66332229304[/C][C]197.992876528353[/C][/ROW]
[ROW][C]0.93[/C][C]3115.41736202753[/C][C]203.681305989957[/C][/ROW]
[ROW][C]0.94[/C][C]3185.82684034171[/C][C]201.092522853949[/C][/ROW]
[ROW][C]0.95[/C][C]3258.25223382443[/C][C]189.230535394868[/C][/ROW]
[ROW][C]0.96[/C][C]3331.00153555119[/C][C]169.86193466004[/C][/ROW]
[ROW][C]0.97[/C][C]3402.15891274624[/C][C]147.30823687538[/C][/ROW]
[ROW][C]0.98[/C][C]3468.36666039927[/C][C]127.510160179433[/C][/ROW]
[ROW][C]0.99[/C][C]3522.90968992358[/C][C]116.318210271183[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163270&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163270&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
0.011341.5196499574697.6887397441718
0.021385.83607196777102.019330538392
0.031437.68738059204110.268703096708
0.041490.56414081251117.295333947727
0.051541.24082453765120.160283792936
0.061588.35965144508118.718858222269
0.071631.35674651743114.01541552779
0.081670.03094952637107.228127668705
0.091704.430876220199.3582266652116
0.11734.8208440872991.3075962734808
0.111761.6469158276283.9745268975305
0.121785.4921698157178.2185969324136
0.131807.0216931854774.7057456752348
0.141826.9185848711173.7144407070731
0.151845.8161645389575.0202804280078
0.161864.2359231781577.9629951983339
0.171882.54173896181.640924090153
0.181900.9180243543185.1285430327946
0.191919.3744180163387.6302495086243
0.21937.7743615703688.5744444669479
0.211955.8808032049487.6714160034942
0.221973.4100318185184.9045290938393
0.231990.0843896798780.5144763946341
0.242005.6760639381574.922611670365
0.252020.0367788817468.6614156369793
0.262033.1113290553462.2935378181794
0.272044.9358451072756.336517452641
0.282055.6239487624851.2143665197514
0.292065.3452393707547.2045595868652
0.32074.3008210014244.4344030447322
0.312082.6999931114242.8672333296208
0.322090.7410835321942.3507002309683
0.332098.598031089242.6570405103418
0.342106.4130203123743.5514009393135
0.352114.2944424786244.8325831860401
0.362122.3188154144546.3362753539459
0.372130.5350552693247.9493222228317
0.382138.9696005146249.5879432078662
0.392147.6312399222451.1904655711987
0.42156.5149719654952.7126837447948
0.412165.6047074476454.1013143761341
0.422174.8750268265655.3082553928906
0.432184.2924580886456.2789455123331
0.442193.8168262033356.9666606006738
0.452203.4031515782957.3333058872431
0.462213.0043801672857.3602973322439
0.472222.5749666081957.0598648525038
0.482232.0750643357456.4722493838018
0.492241.4748583861755.6758826314811
0.52250.7584493301154.7669242262601
0.512259.9266828694853.8778036076662
0.522268.9984200148253.1411219774491
0.532278.0099380539352.6769214474774
0.542287.012407511252.5894392804487
0.552296.0676607107752.9426654147945
0.562305.2427080917353.7474420105885
0.572314.603630598754.9651816542421
0.582324.2095549101956.5221440582691
0.592334.1073943535958.300255455897
0.62344.3279207680660.1765022506968
0.612354.8835449085662.0166493160261
0.622365.7679592015463.6977108872236
0.632376.9575753657465.1225202686536
0.642388.4145077401166.2139980912264
0.652400.0907408025766.9260698415414
0.662411.9330928722967.2497538402263
0.672423.8886457686867.1962191950465
0.682435.9104291579966.8209440545633
0.692447.9632840820266.1944052508659
0.72460.0299232549265.4153772488156
0.712472.1171953621164.6138764438638
0.722484.2624054840263.9452240860942
0.732496.5392453530963.6009011217243
0.742509.0625073962163.8000509733487
0.752521.9904202213964.7787865871133
0.762535.5233175090466.7647639836636
0.772549.8976026906269.9250974892611
0.782565.3747041987974.3303886828637
0.792582.2259218531479.9191979348381
0.82600.7155880746286.4996966570469
0.812621.0865025507193.7758693996603
0.822643.55271117511101.414856512459
0.832668.30484828216109.10625233305
0.842695.53181247598116.659220881231
0.852725.45883044984124.077610168756
0.862758.39550047122131.627200524596
0.872794.77849683957139.827831729961
0.882835.18434237834149.33851344479
0.892880.28290332977160.643217112095
0.92930.70958054494173.581566454138
0.912986.86079073759186.871274425439
0.923048.66332229304197.992876528353
0.933115.41736202753203.681305989957
0.943185.82684034171201.092522853949
0.953258.25223382443189.230535394868
0.963331.00153555119169.86193466004
0.973402.15891274624147.30823687538
0.983468.36666039927127.510160179433
0.993522.90968992358116.318210271183


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.09 ; 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')