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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, 03 Oct 2014 21:08:59 +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/2014/Oct/03/t14123669768h4du3qiae5fg0v.htm/, Retrieved Sun, 31 May 2026 13:35:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238497, Retrieved Sun, 31 May 2026 13:35:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact384

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] [] [2014-10-03 20:08:59] [397b699eae6f3431a51b0bb18afa5c27] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1337
1367
1420
1496
1512
1514
1557
1592
1606
1641
1642
1653
1682
1684
1736
1737
1743
1745
1759
1770
1812
1823
1842
1844
1846
1850
1858
1871
1881
1899
1901
1916
1921
1927
1927
1935
1948
1974
1988
1993
1993
2011
2014
2029
2042
2048
2050
2083
2091
2099
2108
2137
2159
2159
2175
2184
2194
2203
2212
2221
2233
2254
2283
2302
2305
2326
2366
2381
2386
2419
2419
2457
2478
2514
2520
2523
2541
2545
2565
2569
2596
2648
2877
2894

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238497&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238497&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238497&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011354.2650073881340.0011562243731
0.021385.0112906339155.5197767663256
0.031420.9693765482163.0900608658381
0.041455.9507467921361.6997525566244
0.051487.0608930475657.1716128976773
0.061513.983856338754.3265191568133
0.071537.6944166215953.9976732114804
0.081559.3016861194754.5888553475945
0.091579.4921350532654.6871748069505
0.11598.5254355536853.9505339861189
0.111616.4602051268652.7539044993965
0.121633.3462339970251.6323924077509
0.131649.2943491854450.8839741645274
0.141664.4556330606850.5011362671101
0.151678.9741458045750.2865308697123
0.161692.9569082984950.0453242223046
0.171706.4725166396749.7029595612734
0.181719.5677906243249.3208132828683
0.191732.2855054253249.0210565827577
0.21744.6713908256348.8852657912167
0.211756.7681895697448.8811147335531
0.221768.6025723700748.865008641021
0.231780.1738330539748.6468839019134
0.241791.4513634047748.0558067113477
0.251802.3830005114247.0172374967068
0.261812.9112750662745.5733790504108
0.271822.9915739898643.8713380009532
0.281832.6061024556542.1107300043705
0.291841.7697657908840.4962109254848
0.31850.5273601789839.1709931986314
0.311858.9443445990638.2089868726699
0.321867.0950167175237.6008512935705
0.331875.0518825834637.289974929264
0.341882.8787546562337.1987502190385
0.351890.6283272283837.2730165631666
0.361898.3433702895137.4754960587502
0.371906.0597387101937.8020399704777
0.381913.8092752393138.263404427066
0.391921.6212548069338.8680728408236
0.41929.5219448283939.5991538395631
0.411937.5327628997540.422636126168
0.421945.6680969941441.2844096311991
0.431953.9339666503542.1241521158294
0.441962.3283734970242.8893939934975
0.451970.8435807079643.5523909725401
0.461979.4699042038744.1216461524402
0.471988.2001076835244.6288076775818
0.481997.0333015326745.1292669533571
0.492005.9773744447945.683407081753
0.52015.0493591841146.3534638548609
0.512024.2736162374347.1703636852452
0.522033.6781731154848.1441477884469
0.532043.2898843885149.2526174759643
0.542053.1292394717550.4408471931839
0.552063.2056566986351.6309967828057
0.562073.5140078483252.7354011594724
0.572084.0329624375653.6657850655264
0.582094.7255518425654.3286269368659
0.592105.542132004154.673591014276
0.62116.4256594289254.6538733717458
0.612127.3188840087154.295956172686
0.622138.1727234333353.6488290191947
0.632148.9547690110152.8153404333181
0.642159.6566578950651.9414026286501
0.652170.2990135166551.1941496728587
0.662180.9328636902250.7380550592392
0.672191.6369052314950.7128216158712
0.682202.510641183251.2172621022618
0.692213.6641544397552.2705622111054
0.72225.2059409565253.8176481020829
0.712237.2306483384655.7395944806479
0.722249.8086431233257.8617812679341
0.732262.9790429240760.0101235511443
0.742276.7472717786262.0036800427425
0.752291.0874565444663.6985768392064
0.762305.9491923186164.9927127011335
0.772321.2674118637665.8397486944949
0.782336.9732944828666.2552820314981
0.792353.0033988810766.2943687484629
0.82369.303761077566.0349675401673
0.812385.8260765584465.5473902336433
0.822402.514871920664.8333158847772
0.832419.2879726915863.7889033037528
0.842436.01688828962.2219573923269
0.852452.5171475148259.882455080234
0.862468.5587714013256.5802201393474
0.872483.9025305824252.2968546029777
0.882498.3597332203947.2669498964557
0.892511.8671936549741.9876963329091
0.92524.5727813567237.1625269902496
0.912536.9476175301533.6380697938048
0.922549.9764063360532.5003919187806
0.932565.4975127020935.4599553235712
0.942586.6753360521845.2980623246459
0.952618.2156340364165.2027611658366
0.962665.2174059408295.1281613506132
0.972729.20588719689124.155683874405
0.982801.9741665483125.621164146491
0.992863.5779635918177.4983800834815

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1354.26500738813 & 40.0011562243731 \tabularnewline
0.02 & 1385.01129063391 & 55.5197767663256 \tabularnewline
0.03 & 1420.96937654821 & 63.0900608658381 \tabularnewline
0.04 & 1455.95074679213 & 61.6997525566244 \tabularnewline
0.05 & 1487.06089304756 & 57.1716128976773 \tabularnewline
0.06 & 1513.9838563387 & 54.3265191568133 \tabularnewline
0.07 & 1537.69441662159 & 53.9976732114804 \tabularnewline
0.08 & 1559.30168611947 & 54.5888553475945 \tabularnewline
0.09 & 1579.49213505326 & 54.6871748069505 \tabularnewline
0.1 & 1598.52543555368 & 53.9505339861189 \tabularnewline
0.11 & 1616.46020512686 & 52.7539044993965 \tabularnewline
0.12 & 1633.34623399702 & 51.6323924077509 \tabularnewline
0.13 & 1649.29434918544 & 50.8839741645274 \tabularnewline
0.14 & 1664.45563306068 & 50.5011362671101 \tabularnewline
0.15 & 1678.97414580457 & 50.2865308697123 \tabularnewline
0.16 & 1692.95690829849 & 50.0453242223046 \tabularnewline
0.17 & 1706.47251663967 & 49.7029595612734 \tabularnewline
0.18 & 1719.56779062432 & 49.3208132828683 \tabularnewline
0.19 & 1732.28550542532 & 49.0210565827577 \tabularnewline
0.2 & 1744.67139082563 & 48.8852657912167 \tabularnewline
0.21 & 1756.76818956974 & 48.8811147335531 \tabularnewline
0.22 & 1768.60257237007 & 48.865008641021 \tabularnewline
0.23 & 1780.17383305397 & 48.6468839019134 \tabularnewline
0.24 & 1791.45136340477 & 48.0558067113477 \tabularnewline
0.25 & 1802.38300051142 & 47.0172374967068 \tabularnewline
0.26 & 1812.91127506627 & 45.5733790504108 \tabularnewline
0.27 & 1822.99157398986 & 43.8713380009532 \tabularnewline
0.28 & 1832.60610245565 & 42.1107300043705 \tabularnewline
0.29 & 1841.76976579088 & 40.4962109254848 \tabularnewline
0.3 & 1850.52736017898 & 39.1709931986314 \tabularnewline
0.31 & 1858.94434459906 & 38.2089868726699 \tabularnewline
0.32 & 1867.09501671752 & 37.6008512935705 \tabularnewline
0.33 & 1875.05188258346 & 37.289974929264 \tabularnewline
0.34 & 1882.87875465623 & 37.1987502190385 \tabularnewline
0.35 & 1890.62832722838 & 37.2730165631666 \tabularnewline
0.36 & 1898.34337028951 & 37.4754960587502 \tabularnewline
0.37 & 1906.05973871019 & 37.8020399704777 \tabularnewline
0.38 & 1913.80927523931 & 38.263404427066 \tabularnewline
0.39 & 1921.62125480693 & 38.8680728408236 \tabularnewline
0.4 & 1929.52194482839 & 39.5991538395631 \tabularnewline
0.41 & 1937.53276289975 & 40.422636126168 \tabularnewline
0.42 & 1945.66809699414 & 41.2844096311991 \tabularnewline
0.43 & 1953.93396665035 & 42.1241521158294 \tabularnewline
0.44 & 1962.32837349702 & 42.8893939934975 \tabularnewline
0.45 & 1970.84358070796 & 43.5523909725401 \tabularnewline
0.46 & 1979.46990420387 & 44.1216461524402 \tabularnewline
0.47 & 1988.20010768352 & 44.6288076775818 \tabularnewline
0.48 & 1997.03330153267 & 45.1292669533571 \tabularnewline
0.49 & 2005.97737444479 & 45.683407081753 \tabularnewline
0.5 & 2015.04935918411 & 46.3534638548609 \tabularnewline
0.51 & 2024.27361623743 & 47.1703636852452 \tabularnewline
0.52 & 2033.67817311548 & 48.1441477884469 \tabularnewline
0.53 & 2043.28988438851 & 49.2526174759643 \tabularnewline
0.54 & 2053.12923947175 & 50.4408471931839 \tabularnewline
0.55 & 2063.20565669863 & 51.6309967828057 \tabularnewline
0.56 & 2073.51400784832 & 52.7354011594724 \tabularnewline
0.57 & 2084.03296243756 & 53.6657850655264 \tabularnewline
0.58 & 2094.72555184256 & 54.3286269368659 \tabularnewline
0.59 & 2105.5421320041 & 54.673591014276 \tabularnewline
0.6 & 2116.42565942892 & 54.6538733717458 \tabularnewline
0.61 & 2127.31888400871 & 54.295956172686 \tabularnewline
0.62 & 2138.17272343333 & 53.6488290191947 \tabularnewline
0.63 & 2148.95476901101 & 52.8153404333181 \tabularnewline
0.64 & 2159.65665789506 & 51.9414026286501 \tabularnewline
0.65 & 2170.29901351665 & 51.1941496728587 \tabularnewline
0.66 & 2180.93286369022 & 50.7380550592392 \tabularnewline
0.67 & 2191.63690523149 & 50.7128216158712 \tabularnewline
0.68 & 2202.5106411832 & 51.2172621022618 \tabularnewline
0.69 & 2213.66415443975 & 52.2705622111054 \tabularnewline
0.7 & 2225.20594095652 & 53.8176481020829 \tabularnewline
0.71 & 2237.23064833846 & 55.7395944806479 \tabularnewline
0.72 & 2249.80864312332 & 57.8617812679341 \tabularnewline
0.73 & 2262.97904292407 & 60.0101235511443 \tabularnewline
0.74 & 2276.74727177862 & 62.0036800427425 \tabularnewline
0.75 & 2291.08745654446 & 63.6985768392064 \tabularnewline
0.76 & 2305.94919231861 & 64.9927127011335 \tabularnewline
0.77 & 2321.26741186376 & 65.8397486944949 \tabularnewline
0.78 & 2336.97329448286 & 66.2552820314981 \tabularnewline
0.79 & 2353.00339888107 & 66.2943687484629 \tabularnewline
0.8 & 2369.3037610775 & 66.0349675401673 \tabularnewline
0.81 & 2385.82607655844 & 65.5473902336433 \tabularnewline
0.82 & 2402.5148719206 & 64.8333158847772 \tabularnewline
0.83 & 2419.28797269158 & 63.7889033037528 \tabularnewline
0.84 & 2436.016888289 & 62.2219573923269 \tabularnewline
0.85 & 2452.51714751482 & 59.882455080234 \tabularnewline
0.86 & 2468.55877140132 & 56.5802201393474 \tabularnewline
0.87 & 2483.90253058242 & 52.2968546029777 \tabularnewline
0.88 & 2498.35973322039 & 47.2669498964557 \tabularnewline
0.89 & 2511.86719365497 & 41.9876963329091 \tabularnewline
0.9 & 2524.57278135672 & 37.1625269902496 \tabularnewline
0.91 & 2536.94761753015 & 33.6380697938048 \tabularnewline
0.92 & 2549.97640633605 & 32.5003919187806 \tabularnewline
0.93 & 2565.49751270209 & 35.4599553235712 \tabularnewline
0.94 & 2586.67533605218 & 45.2980623246459 \tabularnewline
0.95 & 2618.21563403641 & 65.2027611658366 \tabularnewline
0.96 & 2665.21740594082 & 95.1281613506132 \tabularnewline
0.97 & 2729.20588719689 & 124.155683874405 \tabularnewline
0.98 & 2801.9741665483 & 125.621164146491 \tabularnewline
0.99 & 2863.57796359181 & 77.4983800834815 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238497&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]1354.26500738813[/C][C]40.0011562243731[/C][/ROW]
[ROW][C]0.02[/C][C]1385.01129063391[/C][C]55.5197767663256[/C][/ROW]
[ROW][C]0.03[/C][C]1420.96937654821[/C][C]63.0900608658381[/C][/ROW]
[ROW][C]0.04[/C][C]1455.95074679213[/C][C]61.6997525566244[/C][/ROW]
[ROW][C]0.05[/C][C]1487.06089304756[/C][C]57.1716128976773[/C][/ROW]
[ROW][C]0.06[/C][C]1513.9838563387[/C][C]54.3265191568133[/C][/ROW]
[ROW][C]0.07[/C][C]1537.69441662159[/C][C]53.9976732114804[/C][/ROW]
[ROW][C]0.08[/C][C]1559.30168611947[/C][C]54.5888553475945[/C][/ROW]
[ROW][C]0.09[/C][C]1579.49213505326[/C][C]54.6871748069505[/C][/ROW]
[ROW][C]0.1[/C][C]1598.52543555368[/C][C]53.9505339861189[/C][/ROW]
[ROW][C]0.11[/C][C]1616.46020512686[/C][C]52.7539044993965[/C][/ROW]
[ROW][C]0.12[/C][C]1633.34623399702[/C][C]51.6323924077509[/C][/ROW]
[ROW][C]0.13[/C][C]1649.29434918544[/C][C]50.8839741645274[/C][/ROW]
[ROW][C]0.14[/C][C]1664.45563306068[/C][C]50.5011362671101[/C][/ROW]
[ROW][C]0.15[/C][C]1678.97414580457[/C][C]50.2865308697123[/C][/ROW]
[ROW][C]0.16[/C][C]1692.95690829849[/C][C]50.0453242223046[/C][/ROW]
[ROW][C]0.17[/C][C]1706.47251663967[/C][C]49.7029595612734[/C][/ROW]
[ROW][C]0.18[/C][C]1719.56779062432[/C][C]49.3208132828683[/C][/ROW]
[ROW][C]0.19[/C][C]1732.28550542532[/C][C]49.0210565827577[/C][/ROW]
[ROW][C]0.2[/C][C]1744.67139082563[/C][C]48.8852657912167[/C][/ROW]
[ROW][C]0.21[/C][C]1756.76818956974[/C][C]48.8811147335531[/C][/ROW]
[ROW][C]0.22[/C][C]1768.60257237007[/C][C]48.865008641021[/C][/ROW]
[ROW][C]0.23[/C][C]1780.17383305397[/C][C]48.6468839019134[/C][/ROW]
[ROW][C]0.24[/C][C]1791.45136340477[/C][C]48.0558067113477[/C][/ROW]
[ROW][C]0.25[/C][C]1802.38300051142[/C][C]47.0172374967068[/C][/ROW]
[ROW][C]0.26[/C][C]1812.91127506627[/C][C]45.5733790504108[/C][/ROW]
[ROW][C]0.27[/C][C]1822.99157398986[/C][C]43.8713380009532[/C][/ROW]
[ROW][C]0.28[/C][C]1832.60610245565[/C][C]42.1107300043705[/C][/ROW]
[ROW][C]0.29[/C][C]1841.76976579088[/C][C]40.4962109254848[/C][/ROW]
[ROW][C]0.3[/C][C]1850.52736017898[/C][C]39.1709931986314[/C][/ROW]
[ROW][C]0.31[/C][C]1858.94434459906[/C][C]38.2089868726699[/C][/ROW]
[ROW][C]0.32[/C][C]1867.09501671752[/C][C]37.6008512935705[/C][/ROW]
[ROW][C]0.33[/C][C]1875.05188258346[/C][C]37.289974929264[/C][/ROW]
[ROW][C]0.34[/C][C]1882.87875465623[/C][C]37.1987502190385[/C][/ROW]
[ROW][C]0.35[/C][C]1890.62832722838[/C][C]37.2730165631666[/C][/ROW]
[ROW][C]0.36[/C][C]1898.34337028951[/C][C]37.4754960587502[/C][/ROW]
[ROW][C]0.37[/C][C]1906.05973871019[/C][C]37.8020399704777[/C][/ROW]
[ROW][C]0.38[/C][C]1913.80927523931[/C][C]38.263404427066[/C][/ROW]
[ROW][C]0.39[/C][C]1921.62125480693[/C][C]38.8680728408236[/C][/ROW]
[ROW][C]0.4[/C][C]1929.52194482839[/C][C]39.5991538395631[/C][/ROW]
[ROW][C]0.41[/C][C]1937.53276289975[/C][C]40.422636126168[/C][/ROW]
[ROW][C]0.42[/C][C]1945.66809699414[/C][C]41.2844096311991[/C][/ROW]
[ROW][C]0.43[/C][C]1953.93396665035[/C][C]42.1241521158294[/C][/ROW]
[ROW][C]0.44[/C][C]1962.32837349702[/C][C]42.8893939934975[/C][/ROW]
[ROW][C]0.45[/C][C]1970.84358070796[/C][C]43.5523909725401[/C][/ROW]
[ROW][C]0.46[/C][C]1979.46990420387[/C][C]44.1216461524402[/C][/ROW]
[ROW][C]0.47[/C][C]1988.20010768352[/C][C]44.6288076775818[/C][/ROW]
[ROW][C]0.48[/C][C]1997.03330153267[/C][C]45.1292669533571[/C][/ROW]
[ROW][C]0.49[/C][C]2005.97737444479[/C][C]45.683407081753[/C][/ROW]
[ROW][C]0.5[/C][C]2015.04935918411[/C][C]46.3534638548609[/C][/ROW]
[ROW][C]0.51[/C][C]2024.27361623743[/C][C]47.1703636852452[/C][/ROW]
[ROW][C]0.52[/C][C]2033.67817311548[/C][C]48.1441477884469[/C][/ROW]
[ROW][C]0.53[/C][C]2043.28988438851[/C][C]49.2526174759643[/C][/ROW]
[ROW][C]0.54[/C][C]2053.12923947175[/C][C]50.4408471931839[/C][/ROW]
[ROW][C]0.55[/C][C]2063.20565669863[/C][C]51.6309967828057[/C][/ROW]
[ROW][C]0.56[/C][C]2073.51400784832[/C][C]52.7354011594724[/C][/ROW]
[ROW][C]0.57[/C][C]2084.03296243756[/C][C]53.6657850655264[/C][/ROW]
[ROW][C]0.58[/C][C]2094.72555184256[/C][C]54.3286269368659[/C][/ROW]
[ROW][C]0.59[/C][C]2105.5421320041[/C][C]54.673591014276[/C][/ROW]
[ROW][C]0.6[/C][C]2116.42565942892[/C][C]54.6538733717458[/C][/ROW]
[ROW][C]0.61[/C][C]2127.31888400871[/C][C]54.295956172686[/C][/ROW]
[ROW][C]0.62[/C][C]2138.17272343333[/C][C]53.6488290191947[/C][/ROW]
[ROW][C]0.63[/C][C]2148.95476901101[/C][C]52.8153404333181[/C][/ROW]
[ROW][C]0.64[/C][C]2159.65665789506[/C][C]51.9414026286501[/C][/ROW]
[ROW][C]0.65[/C][C]2170.29901351665[/C][C]51.1941496728587[/C][/ROW]
[ROW][C]0.66[/C][C]2180.93286369022[/C][C]50.7380550592392[/C][/ROW]
[ROW][C]0.67[/C][C]2191.63690523149[/C][C]50.7128216158712[/C][/ROW]
[ROW][C]0.68[/C][C]2202.5106411832[/C][C]51.2172621022618[/C][/ROW]
[ROW][C]0.69[/C][C]2213.66415443975[/C][C]52.2705622111054[/C][/ROW]
[ROW][C]0.7[/C][C]2225.20594095652[/C][C]53.8176481020829[/C][/ROW]
[ROW][C]0.71[/C][C]2237.23064833846[/C][C]55.7395944806479[/C][/ROW]
[ROW][C]0.72[/C][C]2249.80864312332[/C][C]57.8617812679341[/C][/ROW]
[ROW][C]0.73[/C][C]2262.97904292407[/C][C]60.0101235511443[/C][/ROW]
[ROW][C]0.74[/C][C]2276.74727177862[/C][C]62.0036800427425[/C][/ROW]
[ROW][C]0.75[/C][C]2291.08745654446[/C][C]63.6985768392064[/C][/ROW]
[ROW][C]0.76[/C][C]2305.94919231861[/C][C]64.9927127011335[/C][/ROW]
[ROW][C]0.77[/C][C]2321.26741186376[/C][C]65.8397486944949[/C][/ROW]
[ROW][C]0.78[/C][C]2336.97329448286[/C][C]66.2552820314981[/C][/ROW]
[ROW][C]0.79[/C][C]2353.00339888107[/C][C]66.2943687484629[/C][/ROW]
[ROW][C]0.8[/C][C]2369.3037610775[/C][C]66.0349675401673[/C][/ROW]
[ROW][C]0.81[/C][C]2385.82607655844[/C][C]65.5473902336433[/C][/ROW]
[ROW][C]0.82[/C][C]2402.5148719206[/C][C]64.8333158847772[/C][/ROW]
[ROW][C]0.83[/C][C]2419.28797269158[/C][C]63.7889033037528[/C][/ROW]
[ROW][C]0.84[/C][C]2436.016888289[/C][C]62.2219573923269[/C][/ROW]
[ROW][C]0.85[/C][C]2452.51714751482[/C][C]59.882455080234[/C][/ROW]
[ROW][C]0.86[/C][C]2468.55877140132[/C][C]56.5802201393474[/C][/ROW]
[ROW][C]0.87[/C][C]2483.90253058242[/C][C]52.2968546029777[/C][/ROW]
[ROW][C]0.88[/C][C]2498.35973322039[/C][C]47.2669498964557[/C][/ROW]
[ROW][C]0.89[/C][C]2511.86719365497[/C][C]41.9876963329091[/C][/ROW]
[ROW][C]0.9[/C][C]2524.57278135672[/C][C]37.1625269902496[/C][/ROW]
[ROW][C]0.91[/C][C]2536.94761753015[/C][C]33.6380697938048[/C][/ROW]
[ROW][C]0.92[/C][C]2549.97640633605[/C][C]32.5003919187806[/C][/ROW]
[ROW][C]0.93[/C][C]2565.49751270209[/C][C]35.4599553235712[/C][/ROW]
[ROW][C]0.94[/C][C]2586.67533605218[/C][C]45.2980623246459[/C][/ROW]
[ROW][C]0.95[/C][C]2618.21563403641[/C][C]65.2027611658366[/C][/ROW]
[ROW][C]0.96[/C][C]2665.21740594082[/C][C]95.1281613506132[/C][/ROW]
[ROW][C]0.97[/C][C]2729.20588719689[/C][C]124.155683874405[/C][/ROW]
[ROW][C]0.98[/C][C]2801.9741665483[/C][C]125.621164146491[/C][/ROW]
[ROW][C]0.99[/C][C]2863.57796359181[/C][C]77.4983800834815[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238497&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238497&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
0.011354.2650073881340.0011562243731
0.021385.0112906339155.5197767663256
0.031420.9693765482163.0900608658381
0.041455.9507467921361.6997525566244
0.051487.0608930475657.1716128976773
0.061513.983856338754.3265191568133
0.071537.6944166215953.9976732114804
0.081559.3016861194754.5888553475945
0.091579.4921350532654.6871748069505
0.11598.5254355536853.9505339861189
0.111616.4602051268652.7539044993965
0.121633.3462339970251.6323924077509
0.131649.2943491854450.8839741645274
0.141664.4556330606850.5011362671101
0.151678.9741458045750.2865308697123
0.161692.9569082984950.0453242223046
0.171706.4725166396749.7029595612734
0.181719.5677906243249.3208132828683
0.191732.2855054253249.0210565827577
0.21744.6713908256348.8852657912167
0.211756.7681895697448.8811147335531
0.221768.6025723700748.865008641021
0.231780.1738330539748.6468839019134
0.241791.4513634047748.0558067113477
0.251802.3830005114247.0172374967068
0.261812.9112750662745.5733790504108
0.271822.9915739898643.8713380009532
0.281832.6061024556542.1107300043705
0.291841.7697657908840.4962109254848
0.31850.5273601789839.1709931986314
0.311858.9443445990638.2089868726699
0.321867.0950167175237.6008512935705
0.331875.0518825834637.289974929264
0.341882.8787546562337.1987502190385
0.351890.6283272283837.2730165631666
0.361898.3433702895137.4754960587502
0.371906.0597387101937.8020399704777
0.381913.8092752393138.263404427066
0.391921.6212548069338.8680728408236
0.41929.5219448283939.5991538395631
0.411937.5327628997540.422636126168
0.421945.6680969941441.2844096311991
0.431953.9339666503542.1241521158294
0.441962.3283734970242.8893939934975
0.451970.8435807079643.5523909725401
0.461979.4699042038744.1216461524402
0.471988.2001076835244.6288076775818
0.481997.0333015326745.1292669533571
0.492005.9773744447945.683407081753
0.52015.0493591841146.3534638548609
0.512024.2736162374347.1703636852452
0.522033.6781731154848.1441477884469
0.532043.2898843885149.2526174759643
0.542053.1292394717550.4408471931839
0.552063.2056566986351.6309967828057
0.562073.5140078483252.7354011594724
0.572084.0329624375653.6657850655264
0.582094.7255518425654.3286269368659
0.592105.542132004154.673591014276
0.62116.4256594289254.6538733717458
0.612127.3188840087154.295956172686
0.622138.1727234333353.6488290191947
0.632148.9547690110152.8153404333181
0.642159.6566578950651.9414026286501
0.652170.2990135166551.1941496728587
0.662180.9328636902250.7380550592392
0.672191.6369052314950.7128216158712
0.682202.510641183251.2172621022618
0.692213.6641544397552.2705622111054
0.72225.2059409565253.8176481020829
0.712237.2306483384655.7395944806479
0.722249.8086431233257.8617812679341
0.732262.9790429240760.0101235511443
0.742276.7472717786262.0036800427425
0.752291.0874565444663.6985768392064
0.762305.9491923186164.9927127011335
0.772321.2674118637665.8397486944949
0.782336.9732944828666.2552820314981
0.792353.0033988810766.2943687484629
0.82369.303761077566.0349675401673
0.812385.8260765584465.5473902336433
0.822402.514871920664.8333158847772
0.832419.2879726915863.7889033037528
0.842436.01688828962.2219573923269
0.852452.5171475148259.882455080234
0.862468.5587714013256.5802201393474
0.872483.9025305824252.2968546029777
0.882498.3597332203947.2669498964557
0.892511.8671936549741.9876963329091
0.92524.5727813567237.1625269902496
0.912536.9476175301533.6380697938048
0.922549.9764063360532.5003919187806
0.932565.4975127020935.4599553235712
0.942586.6753360521845.2980623246459
0.952618.2156340364165.2027611658366
0.962665.2174059408295.1281613506132
0.972729.20588719689124.155683874405
0.982801.9741665483125.621164146491
0.992863.5779635918177.4983800834815


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')