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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 21:20:25 +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/t1475612439idh4squ4djcii45.htm/, Retrieved Fri, 17 May 2024 17:38:32 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 17 May 2024 17:38:32 +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 
2322
2347
2963
1900
2723
2555
2176
2444
1944
2089
1978
2081
2435
2246
2641
1966
2398
2334
2333
2421
1531
2215
1927
1698
2482
1974
2369
2097
2264
1938
2360
2176
1478
2158
1690
1886
2450
1811
2196
1997
2199
1970
2239
1937
1311
2149
1673
2378
2770
1764
2310
1971
1899
2554
1948
2138
1469
2059
1771
1761

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
0.011344.70107066038130.185654117054
0.021392.5792357586101.002689378418
0.031441.2632867470584.0694831891622
0.041485.1080672287683.4895152367921
0.051524.2132078184290.4387137603268
0.061560.1833912636195.9883515803176
0.071593.910468974996.6502890041168
0.081625.3776725816592.746995660466
0.091654.2332429757486.3174143938681
0.11680.2843822486779.6188892047448
0.111703.6722992652974.262838973404
0.121724.8089578095370.9248088306366
0.131744.2222215659969.4951963436438
0.141762.4118799653269.4073436348036
0.151779.7591238392169.9445559518682
0.161796.4921156873970.4319098889948
0.171812.6931735870170.3366825606666
0.181828.3303448745869.3046016468281
0.191843.2993188614967.1987954622147
0.21857.4657940233964.0541478707407
0.211870.7018750600960.0663417634638
0.221882.9127967391855.5231841780017
0.231894.0525795912450.7462734619366
0.241904.129207811946.0557214118223
0.251913.2014199312341.7198460122071
0.261921.3700176889537.9479333295698
0.271928.7666720266634.888918347046
0.281935.5426726842832.6318570340214
0.291941.8591925046331.2229773549153
0.31947.8797053045930.6834960891445
0.311953.7644319188831.0052773778896
0.321959.6662172286132.1557381624288
0.331965.7270873689834.0819266988434
0.341972.0748525356236.6995289829616
0.351978.8194152793639.8905982162782
0.361986.0488094436843.5072887181541
0.371993.8253290669747.376343513399
0.382002.1823294831151.3039284694421
0.392011.1223475140455.0919793572684
0.42020.6170861322958.5475247687012
0.412030.6095711900961.5100132247305
0.422041.0184725181563.844262769941
0.432051.7442611774465.4720340940321
0.442062.6766167636266.357590744793
0.452073.7023510255966.5191383513126
0.462084.713094571966.0136182689297
0.472095.6120894289364.9401366818958
0.482106.3196056447863.4219284370037
0.492116.7767079917561.599069373679
0.52126.9472945578959.6137515102111
0.512136.8184811119857.6079947738262
0.522146.3995002802655.7172703524944
0.532155.7193270816354.0533856194545
0.542164.8232489616552.7176446634558
0.552173.7685909867651.7741947060312
0.562182.6198052056251.2578966202057
0.572191.4431502075851.1683333914062
0.582200.301225970451.4657112137389
0.592209.2476840110352.0710341285484
0.62218.3224896064152.8822184742585
0.612227.5481523220553.7701931310304
0.622236.9273425798654.6030121183308
0.632246.4422573629655.2412096843626
0.642256.0559763684255.5658937711051
0.652265.7158615305255.4873645567316
0.662275.3588131532854.9456456395729
0.672284.9179354778353.9377072056645
0.682294.3299258904652.4968482038321
0.692303.5423324343850.7117090679113
0.72312.5197661057248.7052906222812
0.712321.248235097346.6211485504168
0.722329.7369935473744.6189483221321
0.732338.0176495447142.8388067828144
0.742346.1407170235441.3938455577028
0.752354.1702682599240.3500805056166
0.762362.1777798754939.7181959202916
0.772370.2365858798939.4656318740169
0.782378.4184656335539.5226417556416
0.792386.7937087703939.8147975348437
0.82395.4354413352840.29428660328
0.812404.4280668789340.9696299267689
0.822413.8785060753541.9180895257477
0.832423.9278185005643.2952443905592
0.842434.7602133503845.3038315893619
0.852446.6068308903648.1278158516822
0.862459.7431074677751.872757568975
0.872474.4804958251956.5153387533746
0.882491.1546240300861.912773188103
0.892510.1115053865867.8627978498106
0.92531.6916926432374.1491575968112
0.912556.2135581264980.5191716293552
0.922583.9693629328686.58478925099
0.932615.2767835242891.7238526141558
0.942650.6554190818795.2711151413591
0.952691.1446668150897.3080703663936
0.962738.50133454508100.217638152657
0.972794.45235015022109.886903942668
0.982857.83378387792132.136074076928
0.992919.9122875702163.682141003144

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1344.70107066038 & 130.185654117054 \tabularnewline
0.02 & 1392.5792357586 & 101.002689378418 \tabularnewline
0.03 & 1441.26328674705 & 84.0694831891622 \tabularnewline
0.04 & 1485.10806722876 & 83.4895152367921 \tabularnewline
0.05 & 1524.21320781842 & 90.4387137603268 \tabularnewline
0.06 & 1560.18339126361 & 95.9883515803176 \tabularnewline
0.07 & 1593.9104689749 & 96.6502890041168 \tabularnewline
0.08 & 1625.37767258165 & 92.746995660466 \tabularnewline
0.09 & 1654.23324297574 & 86.3174143938681 \tabularnewline
0.1 & 1680.28438224867 & 79.6188892047448 \tabularnewline
0.11 & 1703.67229926529 & 74.262838973404 \tabularnewline
0.12 & 1724.80895780953 & 70.9248088306366 \tabularnewline
0.13 & 1744.22222156599 & 69.4951963436438 \tabularnewline
0.14 & 1762.41187996532 & 69.4073436348036 \tabularnewline
0.15 & 1779.75912383921 & 69.9445559518682 \tabularnewline
0.16 & 1796.49211568739 & 70.4319098889948 \tabularnewline
0.17 & 1812.69317358701 & 70.3366825606666 \tabularnewline
0.18 & 1828.33034487458 & 69.3046016468281 \tabularnewline
0.19 & 1843.29931886149 & 67.1987954622147 \tabularnewline
0.2 & 1857.46579402339 & 64.0541478707407 \tabularnewline
0.21 & 1870.70187506009 & 60.0663417634638 \tabularnewline
0.22 & 1882.91279673918 & 55.5231841780017 \tabularnewline
0.23 & 1894.05257959124 & 50.7462734619366 \tabularnewline
0.24 & 1904.1292078119 & 46.0557214118223 \tabularnewline
0.25 & 1913.20141993123 & 41.7198460122071 \tabularnewline
0.26 & 1921.37001768895 & 37.9479333295698 \tabularnewline
0.27 & 1928.76667202666 & 34.888918347046 \tabularnewline
0.28 & 1935.54267268428 & 32.6318570340214 \tabularnewline
0.29 & 1941.85919250463 & 31.2229773549153 \tabularnewline
0.3 & 1947.87970530459 & 30.6834960891445 \tabularnewline
0.31 & 1953.76443191888 & 31.0052773778896 \tabularnewline
0.32 & 1959.66621722861 & 32.1557381624288 \tabularnewline
0.33 & 1965.72708736898 & 34.0819266988434 \tabularnewline
0.34 & 1972.07485253562 & 36.6995289829616 \tabularnewline
0.35 & 1978.81941527936 & 39.8905982162782 \tabularnewline
0.36 & 1986.04880944368 & 43.5072887181541 \tabularnewline
0.37 & 1993.82532906697 & 47.376343513399 \tabularnewline
0.38 & 2002.18232948311 & 51.3039284694421 \tabularnewline
0.39 & 2011.12234751404 & 55.0919793572684 \tabularnewline
0.4 & 2020.61708613229 & 58.5475247687012 \tabularnewline
0.41 & 2030.60957119009 & 61.5100132247305 \tabularnewline
0.42 & 2041.01847251815 & 63.844262769941 \tabularnewline
0.43 & 2051.74426117744 & 65.4720340940321 \tabularnewline
0.44 & 2062.67661676362 & 66.357590744793 \tabularnewline
0.45 & 2073.70235102559 & 66.5191383513126 \tabularnewline
0.46 & 2084.7130945719 & 66.0136182689297 \tabularnewline
0.47 & 2095.61208942893 & 64.9401366818958 \tabularnewline
0.48 & 2106.31960564478 & 63.4219284370037 \tabularnewline
0.49 & 2116.77670799175 & 61.599069373679 \tabularnewline
0.5 & 2126.94729455789 & 59.6137515102111 \tabularnewline
0.51 & 2136.81848111198 & 57.6079947738262 \tabularnewline
0.52 & 2146.39950028026 & 55.7172703524944 \tabularnewline
0.53 & 2155.71932708163 & 54.0533856194545 \tabularnewline
0.54 & 2164.82324896165 & 52.7176446634558 \tabularnewline
0.55 & 2173.76859098676 & 51.7741947060312 \tabularnewline
0.56 & 2182.61980520562 & 51.2578966202057 \tabularnewline
0.57 & 2191.44315020758 & 51.1683333914062 \tabularnewline
0.58 & 2200.3012259704 & 51.4657112137389 \tabularnewline
0.59 & 2209.24768401103 & 52.0710341285484 \tabularnewline
0.6 & 2218.32248960641 & 52.8822184742585 \tabularnewline
0.61 & 2227.54815232205 & 53.7701931310304 \tabularnewline
0.62 & 2236.92734257986 & 54.6030121183308 \tabularnewline
0.63 & 2246.44225736296 & 55.2412096843626 \tabularnewline
0.64 & 2256.05597636842 & 55.5658937711051 \tabularnewline
0.65 & 2265.71586153052 & 55.4873645567316 \tabularnewline
0.66 & 2275.35881315328 & 54.9456456395729 \tabularnewline
0.67 & 2284.91793547783 & 53.9377072056645 \tabularnewline
0.68 & 2294.32992589046 & 52.4968482038321 \tabularnewline
0.69 & 2303.54233243438 & 50.7117090679113 \tabularnewline
0.7 & 2312.51976610572 & 48.7052906222812 \tabularnewline
0.71 & 2321.2482350973 & 46.6211485504168 \tabularnewline
0.72 & 2329.73699354737 & 44.6189483221321 \tabularnewline
0.73 & 2338.01764954471 & 42.8388067828144 \tabularnewline
0.74 & 2346.14071702354 & 41.3938455577028 \tabularnewline
0.75 & 2354.17026825992 & 40.3500805056166 \tabularnewline
0.76 & 2362.17777987549 & 39.7181959202916 \tabularnewline
0.77 & 2370.23658587989 & 39.4656318740169 \tabularnewline
0.78 & 2378.41846563355 & 39.5226417556416 \tabularnewline
0.79 & 2386.79370877039 & 39.8147975348437 \tabularnewline
0.8 & 2395.43544133528 & 40.29428660328 \tabularnewline
0.81 & 2404.42806687893 & 40.9696299267689 \tabularnewline
0.82 & 2413.87850607535 & 41.9180895257477 \tabularnewline
0.83 & 2423.92781850056 & 43.2952443905592 \tabularnewline
0.84 & 2434.76021335038 & 45.3038315893619 \tabularnewline
0.85 & 2446.60683089036 & 48.1278158516822 \tabularnewline
0.86 & 2459.74310746777 & 51.872757568975 \tabularnewline
0.87 & 2474.48049582519 & 56.5153387533746 \tabularnewline
0.88 & 2491.15462403008 & 61.912773188103 \tabularnewline
0.89 & 2510.11150538658 & 67.8627978498106 \tabularnewline
0.9 & 2531.69169264323 & 74.1491575968112 \tabularnewline
0.91 & 2556.21355812649 & 80.5191716293552 \tabularnewline
0.92 & 2583.96936293286 & 86.58478925099 \tabularnewline
0.93 & 2615.27678352428 & 91.7238526141558 \tabularnewline
0.94 & 2650.65541908187 & 95.2711151413591 \tabularnewline
0.95 & 2691.14466681508 & 97.3080703663936 \tabularnewline
0.96 & 2738.50133454508 & 100.217638152657 \tabularnewline
0.97 & 2794.45235015022 & 109.886903942668 \tabularnewline
0.98 & 2857.83378387792 & 132.136074076928 \tabularnewline
0.99 & 2919.9122875702 & 163.682141003144 \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]1344.70107066038[/C][C]130.185654117054[/C][/ROW]
[ROW][C]0.02[/C][C]1392.5792357586[/C][C]101.002689378418[/C][/ROW]
[ROW][C]0.03[/C][C]1441.26328674705[/C][C]84.0694831891622[/C][/ROW]
[ROW][C]0.04[/C][C]1485.10806722876[/C][C]83.4895152367921[/C][/ROW]
[ROW][C]0.05[/C][C]1524.21320781842[/C][C]90.4387137603268[/C][/ROW]
[ROW][C]0.06[/C][C]1560.18339126361[/C][C]95.9883515803176[/C][/ROW]
[ROW][C]0.07[/C][C]1593.9104689749[/C][C]96.6502890041168[/C][/ROW]
[ROW][C]0.08[/C][C]1625.37767258165[/C][C]92.746995660466[/C][/ROW]
[ROW][C]0.09[/C][C]1654.23324297574[/C][C]86.3174143938681[/C][/ROW]
[ROW][C]0.1[/C][C]1680.28438224867[/C][C]79.6188892047448[/C][/ROW]
[ROW][C]0.11[/C][C]1703.67229926529[/C][C]74.262838973404[/C][/ROW]
[ROW][C]0.12[/C][C]1724.80895780953[/C][C]70.9248088306366[/C][/ROW]
[ROW][C]0.13[/C][C]1744.22222156599[/C][C]69.4951963436438[/C][/ROW]
[ROW][C]0.14[/C][C]1762.41187996532[/C][C]69.4073436348036[/C][/ROW]
[ROW][C]0.15[/C][C]1779.75912383921[/C][C]69.9445559518682[/C][/ROW]
[ROW][C]0.16[/C][C]1796.49211568739[/C][C]70.4319098889948[/C][/ROW]
[ROW][C]0.17[/C][C]1812.69317358701[/C][C]70.3366825606666[/C][/ROW]
[ROW][C]0.18[/C][C]1828.33034487458[/C][C]69.3046016468281[/C][/ROW]
[ROW][C]0.19[/C][C]1843.29931886149[/C][C]67.1987954622147[/C][/ROW]
[ROW][C]0.2[/C][C]1857.46579402339[/C][C]64.0541478707407[/C][/ROW]
[ROW][C]0.21[/C][C]1870.70187506009[/C][C]60.0663417634638[/C][/ROW]
[ROW][C]0.22[/C][C]1882.91279673918[/C][C]55.5231841780017[/C][/ROW]
[ROW][C]0.23[/C][C]1894.05257959124[/C][C]50.7462734619366[/C][/ROW]
[ROW][C]0.24[/C][C]1904.1292078119[/C][C]46.0557214118223[/C][/ROW]
[ROW][C]0.25[/C][C]1913.20141993123[/C][C]41.7198460122071[/C][/ROW]
[ROW][C]0.26[/C][C]1921.37001768895[/C][C]37.9479333295698[/C][/ROW]
[ROW][C]0.27[/C][C]1928.76667202666[/C][C]34.888918347046[/C][/ROW]
[ROW][C]0.28[/C][C]1935.54267268428[/C][C]32.6318570340214[/C][/ROW]
[ROW][C]0.29[/C][C]1941.85919250463[/C][C]31.2229773549153[/C][/ROW]
[ROW][C]0.3[/C][C]1947.87970530459[/C][C]30.6834960891445[/C][/ROW]
[ROW][C]0.31[/C][C]1953.76443191888[/C][C]31.0052773778896[/C][/ROW]
[ROW][C]0.32[/C][C]1959.66621722861[/C][C]32.1557381624288[/C][/ROW]
[ROW][C]0.33[/C][C]1965.72708736898[/C][C]34.0819266988434[/C][/ROW]
[ROW][C]0.34[/C][C]1972.07485253562[/C][C]36.6995289829616[/C][/ROW]
[ROW][C]0.35[/C][C]1978.81941527936[/C][C]39.8905982162782[/C][/ROW]
[ROW][C]0.36[/C][C]1986.04880944368[/C][C]43.5072887181541[/C][/ROW]
[ROW][C]0.37[/C][C]1993.82532906697[/C][C]47.376343513399[/C][/ROW]
[ROW][C]0.38[/C][C]2002.18232948311[/C][C]51.3039284694421[/C][/ROW]
[ROW][C]0.39[/C][C]2011.12234751404[/C][C]55.0919793572684[/C][/ROW]
[ROW][C]0.4[/C][C]2020.61708613229[/C][C]58.5475247687012[/C][/ROW]
[ROW][C]0.41[/C][C]2030.60957119009[/C][C]61.5100132247305[/C][/ROW]
[ROW][C]0.42[/C][C]2041.01847251815[/C][C]63.844262769941[/C][/ROW]
[ROW][C]0.43[/C][C]2051.74426117744[/C][C]65.4720340940321[/C][/ROW]
[ROW][C]0.44[/C][C]2062.67661676362[/C][C]66.357590744793[/C][/ROW]
[ROW][C]0.45[/C][C]2073.70235102559[/C][C]66.5191383513126[/C][/ROW]
[ROW][C]0.46[/C][C]2084.7130945719[/C][C]66.0136182689297[/C][/ROW]
[ROW][C]0.47[/C][C]2095.61208942893[/C][C]64.9401366818958[/C][/ROW]
[ROW][C]0.48[/C][C]2106.31960564478[/C][C]63.4219284370037[/C][/ROW]
[ROW][C]0.49[/C][C]2116.77670799175[/C][C]61.599069373679[/C][/ROW]
[ROW][C]0.5[/C][C]2126.94729455789[/C][C]59.6137515102111[/C][/ROW]
[ROW][C]0.51[/C][C]2136.81848111198[/C][C]57.6079947738262[/C][/ROW]
[ROW][C]0.52[/C][C]2146.39950028026[/C][C]55.7172703524944[/C][/ROW]
[ROW][C]0.53[/C][C]2155.71932708163[/C][C]54.0533856194545[/C][/ROW]
[ROW][C]0.54[/C][C]2164.82324896165[/C][C]52.7176446634558[/C][/ROW]
[ROW][C]0.55[/C][C]2173.76859098676[/C][C]51.7741947060312[/C][/ROW]
[ROW][C]0.56[/C][C]2182.61980520562[/C][C]51.2578966202057[/C][/ROW]
[ROW][C]0.57[/C][C]2191.44315020758[/C][C]51.1683333914062[/C][/ROW]
[ROW][C]0.58[/C][C]2200.3012259704[/C][C]51.4657112137389[/C][/ROW]
[ROW][C]0.59[/C][C]2209.24768401103[/C][C]52.0710341285484[/C][/ROW]
[ROW][C]0.6[/C][C]2218.32248960641[/C][C]52.8822184742585[/C][/ROW]
[ROW][C]0.61[/C][C]2227.54815232205[/C][C]53.7701931310304[/C][/ROW]
[ROW][C]0.62[/C][C]2236.92734257986[/C][C]54.6030121183308[/C][/ROW]
[ROW][C]0.63[/C][C]2246.44225736296[/C][C]55.2412096843626[/C][/ROW]
[ROW][C]0.64[/C][C]2256.05597636842[/C][C]55.5658937711051[/C][/ROW]
[ROW][C]0.65[/C][C]2265.71586153052[/C][C]55.4873645567316[/C][/ROW]
[ROW][C]0.66[/C][C]2275.35881315328[/C][C]54.9456456395729[/C][/ROW]
[ROW][C]0.67[/C][C]2284.91793547783[/C][C]53.9377072056645[/C][/ROW]
[ROW][C]0.68[/C][C]2294.32992589046[/C][C]52.4968482038321[/C][/ROW]
[ROW][C]0.69[/C][C]2303.54233243438[/C][C]50.7117090679113[/C][/ROW]
[ROW][C]0.7[/C][C]2312.51976610572[/C][C]48.7052906222812[/C][/ROW]
[ROW][C]0.71[/C][C]2321.2482350973[/C][C]46.6211485504168[/C][/ROW]
[ROW][C]0.72[/C][C]2329.73699354737[/C][C]44.6189483221321[/C][/ROW]
[ROW][C]0.73[/C][C]2338.01764954471[/C][C]42.8388067828144[/C][/ROW]
[ROW][C]0.74[/C][C]2346.14071702354[/C][C]41.3938455577028[/C][/ROW]
[ROW][C]0.75[/C][C]2354.17026825992[/C][C]40.3500805056166[/C][/ROW]
[ROW][C]0.76[/C][C]2362.17777987549[/C][C]39.7181959202916[/C][/ROW]
[ROW][C]0.77[/C][C]2370.23658587989[/C][C]39.4656318740169[/C][/ROW]
[ROW][C]0.78[/C][C]2378.41846563355[/C][C]39.5226417556416[/C][/ROW]
[ROW][C]0.79[/C][C]2386.79370877039[/C][C]39.8147975348437[/C][/ROW]
[ROW][C]0.8[/C][C]2395.43544133528[/C][C]40.29428660328[/C][/ROW]
[ROW][C]0.81[/C][C]2404.42806687893[/C][C]40.9696299267689[/C][/ROW]
[ROW][C]0.82[/C][C]2413.87850607535[/C][C]41.9180895257477[/C][/ROW]
[ROW][C]0.83[/C][C]2423.92781850056[/C][C]43.2952443905592[/C][/ROW]
[ROW][C]0.84[/C][C]2434.76021335038[/C][C]45.3038315893619[/C][/ROW]
[ROW][C]0.85[/C][C]2446.60683089036[/C][C]48.1278158516822[/C][/ROW]
[ROW][C]0.86[/C][C]2459.74310746777[/C][C]51.872757568975[/C][/ROW]
[ROW][C]0.87[/C][C]2474.48049582519[/C][C]56.5153387533746[/C][/ROW]
[ROW][C]0.88[/C][C]2491.15462403008[/C][C]61.912773188103[/C][/ROW]
[ROW][C]0.89[/C][C]2510.11150538658[/C][C]67.8627978498106[/C][/ROW]
[ROW][C]0.9[/C][C]2531.69169264323[/C][C]74.1491575968112[/C][/ROW]
[ROW][C]0.91[/C][C]2556.21355812649[/C][C]80.5191716293552[/C][/ROW]
[ROW][C]0.92[/C][C]2583.96936293286[/C][C]86.58478925099[/C][/ROW]
[ROW][C]0.93[/C][C]2615.27678352428[/C][C]91.7238526141558[/C][/ROW]
[ROW][C]0.94[/C][C]2650.65541908187[/C][C]95.2711151413591[/C][/ROW]
[ROW][C]0.95[/C][C]2691.14466681508[/C][C]97.3080703663936[/C][/ROW]
[ROW][C]0.96[/C][C]2738.50133454508[/C][C]100.217638152657[/C][/ROW]
[ROW][C]0.97[/C][C]2794.45235015022[/C][C]109.886903942668[/C][/ROW]
[ROW][C]0.98[/C][C]2857.83378387792[/C][C]132.136074076928[/C][/ROW]
[ROW][C]0.99[/C][C]2919.9122875702[/C][C]163.682141003144[/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
0.011344.70107066038130.185654117054
0.021392.5792357586101.002689378418
0.031441.2632867470584.0694831891622
0.041485.1080672287683.4895152367921
0.051524.2132078184290.4387137603268
0.061560.1833912636195.9883515803176
0.071593.910468974996.6502890041168
0.081625.3776725816592.746995660466
0.091654.2332429757486.3174143938681
0.11680.2843822486779.6188892047448
0.111703.6722992652974.262838973404
0.121724.8089578095370.9248088306366
0.131744.2222215659969.4951963436438
0.141762.4118799653269.4073436348036
0.151779.7591238392169.9445559518682
0.161796.4921156873970.4319098889948
0.171812.6931735870170.3366825606666
0.181828.3303448745869.3046016468281
0.191843.2993188614967.1987954622147
0.21857.4657940233964.0541478707407
0.211870.7018750600960.0663417634638
0.221882.9127967391855.5231841780017
0.231894.0525795912450.7462734619366
0.241904.129207811946.0557214118223
0.251913.2014199312341.7198460122071
0.261921.3700176889537.9479333295698
0.271928.7666720266634.888918347046
0.281935.5426726842832.6318570340214
0.291941.8591925046331.2229773549153
0.31947.8797053045930.6834960891445
0.311953.7644319188831.0052773778896
0.321959.6662172286132.1557381624288
0.331965.7270873689834.0819266988434
0.341972.0748525356236.6995289829616
0.351978.8194152793639.8905982162782
0.361986.0488094436843.5072887181541
0.371993.8253290669747.376343513399
0.382002.1823294831151.3039284694421
0.392011.1223475140455.0919793572684
0.42020.6170861322958.5475247687012
0.412030.6095711900961.5100132247305
0.422041.0184725181563.844262769941
0.432051.7442611774465.4720340940321
0.442062.6766167636266.357590744793
0.452073.7023510255966.5191383513126
0.462084.713094571966.0136182689297
0.472095.6120894289364.9401366818958
0.482106.3196056447863.4219284370037
0.492116.7767079917561.599069373679
0.52126.9472945578959.6137515102111
0.512136.8184811119857.6079947738262
0.522146.3995002802655.7172703524944
0.532155.7193270816354.0533856194545
0.542164.8232489616552.7176446634558
0.552173.7685909867651.7741947060312
0.562182.6198052056251.2578966202057
0.572191.4431502075851.1683333914062
0.582200.301225970451.4657112137389
0.592209.2476840110352.0710341285484
0.62218.3224896064152.8822184742585
0.612227.5481523220553.7701931310304
0.622236.9273425798654.6030121183308
0.632246.4422573629655.2412096843626
0.642256.0559763684255.5658937711051
0.652265.7158615305255.4873645567316
0.662275.3588131532854.9456456395729
0.672284.9179354778353.9377072056645
0.682294.3299258904652.4968482038321
0.692303.5423324343850.7117090679113
0.72312.5197661057248.7052906222812
0.712321.248235097346.6211485504168
0.722329.7369935473744.6189483221321
0.732338.0176495447142.8388067828144
0.742346.1407170235441.3938455577028
0.752354.1702682599240.3500805056166
0.762362.1777798754939.7181959202916
0.772370.2365858798939.4656318740169
0.782378.4184656335539.5226417556416
0.792386.7937087703939.8147975348437
0.82395.4354413352840.29428660328
0.812404.4280668789340.9696299267689
0.822413.8785060753541.9180895257477
0.832423.9278185005643.2952443905592
0.842434.7602133503845.3038315893619
0.852446.6068308903648.1278158516822
0.862459.7431074677751.872757568975
0.872474.4804958251956.5153387533746
0.882491.1546240300861.912773188103
0.892510.1115053865867.8627978498106
0.92531.6916926432374.1491575968112
0.912556.2135581264980.5191716293552
0.922583.9693629328686.58478925099
0.932615.2767835242891.7238526141558
0.942650.6554190818795.2711151413591
0.952691.1446668150897.3080703663936
0.962738.50133454508100.217638152657
0.972794.45235015022109.886903942668
0.982857.83378387792132.136074076928
0.992919.9122875702163.682141003144


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')