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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 computationSun, 15 Mar 2009 14:48:40 -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/2009/Mar/15/t123715017705rtksvgjx3mkkg.htm/, Retrieved Wed, 27 Sep 2023 07:44:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39101, Retrieved Wed, 27 Sep 2023 07:44:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157

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] [percentielen aant...] [2009-03-15 20:48:40] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1639
1296
1063
1282
1365
1268
1532
1455
1393
1515
1510
1225
1577
1417
1224
1693
1633
1639
1914
1586
1552
2081
1500
1437
1470
1849
1387
1592
1590
1798
1935
1887
2027
2080
1556
1682
1785
1869
1781
2082
2571
1862
1938
1505
1767
1607
1578
1495
1615
1700
1337
1531
1623
1543
1638
1520
1416
1820
1596
1358
1267
1742
1402
1388
1646
1670
1531
1730
1407
1795
1504
1371
1734

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=39101&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=39101&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39101&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
0.011105.02121266284121.721272604253
0.021158.7482295222977.6739545780855
0.031202.4762474427747.8986469601667
0.041232.1352417805635.2488242840127
0.051252.3001310113132.3136908887206
0.061267.8451202601233.0957225274535
0.071281.5901726115335.3226804573767
0.081294.7431290009737.7685153412278
0.091307.6499414694339.4285134046555
0.11320.2434925847339.7031158217149
0.111332.2857304021638.5130651896952
0.121343.5215407007836.1991766087170
0.131353.7767182267133.3129703070999
0.141363.0013653792730.4227310779223
0.151371.2669232455127.9821569885111
0.161378.7351212234326.2807820447546
0.171385.6179191401325.4526861895403
0.181392.1412888017225.5008250236972
0.191398.5180917580326.3448058075058
0.21404.9300028755927.8329330087912
0.211411.5162676813029.7683334943135
0.221418.3672118914831.9219691801285
0.231425.5215082994834.0540288575685
0.241432.9671941242735.9288065361167
0.251440.6468016437137.3416599125554
0.261448.4666708759938.1416436912299
0.271456.3098003964238.2491372010265
0.281464.0508110757937.6642824105643
0.291471.5710604527636.4620073683405
0.31478.7718407699834.7820699162251
0.311485.5839512802532.8025110777827
0.321491.9726426107130.7211369375669
0.331497.9377862568528.7248755950951
0.341503.5099071403626.9699555944354
0.351508.7432623508325.5696082977833
0.361513.7073757010924.5859516544383
0.371518.4783633380624.0275374161538
0.381523.1311005418923.8620481650103
0.391527.7329046017324.0235103476723
0.41532.3390516378624.4256863635949
0.411536.9901734288324.9774816578768
0.421541.7114106228425.5945293431854
0.431546.5131085211126.1903023289425
0.441551.3927907300726.7049029690799
0.451556.3380999615227.0915439745392
0.461561.3303411424927.3260533410842
0.471566.3482116541627.4075791520818
0.481571.3712851988327.3580849154485
0.491576.3828584828727.2153202855024
0.51581.3718872980627.0169460873188
0.511586.3339190065026.8122403570103
0.521591.2711345263526.6367747266638
0.531596.1917913578826.5223245339084
0.541601.1094572941526.4893093280272
0.551606.0424081519026.5521865645049
0.561611.0134300129526.7255132525885
0.571616.0500508619827.0338601968359
0.581621.1849904109227.5060652472987
0.591626.4564338264628.1759699521606
0.61631.9076675284229.0781962439628
0.611637.5856942501330.2371259159241
0.621643.5386579646131.6511463035692
0.631649.8122031546933.2914774824936
0.641656.4451868201635.1046694291378
0.651663.4653734733237.0053942821006
0.661670.8858157719438.8981123604728
0.671678.7025423083940.6770605730514
0.681686.893972247542.2490006329523
0.691695.4222198558843.5316627678155
0.71704.2362122822744.4663816209642
0.711713.2763686429945.0252650946817
0.721722.4804801779645.2067672471997
0.731731.7903486803345.0443506039816
0.741741.1586247318344.6043980505868
0.751750.5551069510443.980396880237
0.761759.9715581526643.2905910750073
0.771769.4239909662142.6661136994304
0.781778.9515536419142.2266989299961
0.791788.6117507178842.0596726503594
0.81798.4727613994342.1940346869962
0.811808.6048524636342.591073425868
0.821819.0739193783543.1616673151152
0.831829.9405922035043.806037503711
0.841841.2678253718444.4651140197992
0.851853.1383649343345.1654261707175
0.861865.6808434932246.0476463360017
0.871879.0990074046147.3745026310884
0.881893.6919865333049.4948701637112
0.891909.8450644918152.7430899843682
0.91927.9652878289757.2157280248103

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1105.02121266284 & 121.721272604253 \tabularnewline
0.02 & 1158.74822952229 & 77.6739545780855 \tabularnewline
0.03 & 1202.47624744277 & 47.8986469601667 \tabularnewline
0.04 & 1232.13524178056 & 35.2488242840127 \tabularnewline
0.05 & 1252.30013101131 & 32.3136908887206 \tabularnewline
0.06 & 1267.84512026012 & 33.0957225274535 \tabularnewline
0.07 & 1281.59017261153 & 35.3226804573767 \tabularnewline
0.08 & 1294.74312900097 & 37.7685153412278 \tabularnewline
0.09 & 1307.64994146943 & 39.4285134046555 \tabularnewline
0.1 & 1320.24349258473 & 39.7031158217149 \tabularnewline
0.11 & 1332.28573040216 & 38.5130651896952 \tabularnewline
0.12 & 1343.52154070078 & 36.1991766087170 \tabularnewline
0.13 & 1353.77671822671 & 33.3129703070999 \tabularnewline
0.14 & 1363.00136537927 & 30.4227310779223 \tabularnewline
0.15 & 1371.26692324551 & 27.9821569885111 \tabularnewline
0.16 & 1378.73512122343 & 26.2807820447546 \tabularnewline
0.17 & 1385.61791914013 & 25.4526861895403 \tabularnewline
0.18 & 1392.14128880172 & 25.5008250236972 \tabularnewline
0.19 & 1398.51809175803 & 26.3448058075058 \tabularnewline
0.2 & 1404.93000287559 & 27.8329330087912 \tabularnewline
0.21 & 1411.51626768130 & 29.7683334943135 \tabularnewline
0.22 & 1418.36721189148 & 31.9219691801285 \tabularnewline
0.23 & 1425.52150829948 & 34.0540288575685 \tabularnewline
0.24 & 1432.96719412427 & 35.9288065361167 \tabularnewline
0.25 & 1440.64680164371 & 37.3416599125554 \tabularnewline
0.26 & 1448.46667087599 & 38.1416436912299 \tabularnewline
0.27 & 1456.30980039642 & 38.2491372010265 \tabularnewline
0.28 & 1464.05081107579 & 37.6642824105643 \tabularnewline
0.29 & 1471.57106045276 & 36.4620073683405 \tabularnewline
0.3 & 1478.77184076998 & 34.7820699162251 \tabularnewline
0.31 & 1485.58395128025 & 32.8025110777827 \tabularnewline
0.32 & 1491.97264261071 & 30.7211369375669 \tabularnewline
0.33 & 1497.93778625685 & 28.7248755950951 \tabularnewline
0.34 & 1503.50990714036 & 26.9699555944354 \tabularnewline
0.35 & 1508.74326235083 & 25.5696082977833 \tabularnewline
0.36 & 1513.70737570109 & 24.5859516544383 \tabularnewline
0.37 & 1518.47836333806 & 24.0275374161538 \tabularnewline
0.38 & 1523.13110054189 & 23.8620481650103 \tabularnewline
0.39 & 1527.73290460173 & 24.0235103476723 \tabularnewline
0.4 & 1532.33905163786 & 24.4256863635949 \tabularnewline
0.41 & 1536.99017342883 & 24.9774816578768 \tabularnewline
0.42 & 1541.71141062284 & 25.5945293431854 \tabularnewline
0.43 & 1546.51310852111 & 26.1903023289425 \tabularnewline
0.44 & 1551.39279073007 & 26.7049029690799 \tabularnewline
0.45 & 1556.33809996152 & 27.0915439745392 \tabularnewline
0.46 & 1561.33034114249 & 27.3260533410842 \tabularnewline
0.47 & 1566.34821165416 & 27.4075791520818 \tabularnewline
0.48 & 1571.37128519883 & 27.3580849154485 \tabularnewline
0.49 & 1576.38285848287 & 27.2153202855024 \tabularnewline
0.5 & 1581.37188729806 & 27.0169460873188 \tabularnewline
0.51 & 1586.33391900650 & 26.8122403570103 \tabularnewline
0.52 & 1591.27113452635 & 26.6367747266638 \tabularnewline
0.53 & 1596.19179135788 & 26.5223245339084 \tabularnewline
0.54 & 1601.10945729415 & 26.4893093280272 \tabularnewline
0.55 & 1606.04240815190 & 26.5521865645049 \tabularnewline
0.56 & 1611.01343001295 & 26.7255132525885 \tabularnewline
0.57 & 1616.05005086198 & 27.0338601968359 \tabularnewline
0.58 & 1621.18499041092 & 27.5060652472987 \tabularnewline
0.59 & 1626.45643382646 & 28.1759699521606 \tabularnewline
0.6 & 1631.90766752842 & 29.0781962439628 \tabularnewline
0.61 & 1637.58569425013 & 30.2371259159241 \tabularnewline
0.62 & 1643.53865796461 & 31.6511463035692 \tabularnewline
0.63 & 1649.81220315469 & 33.2914774824936 \tabularnewline
0.64 & 1656.44518682016 & 35.1046694291378 \tabularnewline
0.65 & 1663.46537347332 & 37.0053942821006 \tabularnewline
0.66 & 1670.88581577194 & 38.8981123604728 \tabularnewline
0.67 & 1678.70254230839 & 40.6770605730514 \tabularnewline
0.68 & 1686.8939722475 & 42.2490006329523 \tabularnewline
0.69 & 1695.42221985588 & 43.5316627678155 \tabularnewline
0.7 & 1704.23621228227 & 44.4663816209642 \tabularnewline
0.71 & 1713.27636864299 & 45.0252650946817 \tabularnewline
0.72 & 1722.48048017796 & 45.2067672471997 \tabularnewline
0.73 & 1731.79034868033 & 45.0443506039816 \tabularnewline
0.74 & 1741.15862473183 & 44.6043980505868 \tabularnewline
0.75 & 1750.55510695104 & 43.980396880237 \tabularnewline
0.76 & 1759.97155815266 & 43.2905910750073 \tabularnewline
0.77 & 1769.42399096621 & 42.6661136994304 \tabularnewline
0.78 & 1778.95155364191 & 42.2266989299961 \tabularnewline
0.79 & 1788.61175071788 & 42.0596726503594 \tabularnewline
0.8 & 1798.47276139943 & 42.1940346869962 \tabularnewline
0.81 & 1808.60485246363 & 42.591073425868 \tabularnewline
0.82 & 1819.07391937835 & 43.1616673151152 \tabularnewline
0.83 & 1829.94059220350 & 43.806037503711 \tabularnewline
0.84 & 1841.26782537184 & 44.4651140197992 \tabularnewline
0.85 & 1853.13836493433 & 45.1654261707175 \tabularnewline
0.86 & 1865.68084349322 & 46.0476463360017 \tabularnewline
0.87 & 1879.09900740461 & 47.3745026310884 \tabularnewline
0.88 & 1893.69198653330 & 49.4948701637112 \tabularnewline
0.89 & 1909.84506449181 & 52.7430899843682 \tabularnewline
0.9 & 1927.96528782897 & 57.2157280248103 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39101&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]1105.02121266284[/C][C]121.721272604253[/C][/ROW]
[ROW][C]0.02[/C][C]1158.74822952229[/C][C]77.6739545780855[/C][/ROW]
[ROW][C]0.03[/C][C]1202.47624744277[/C][C]47.8986469601667[/C][/ROW]
[ROW][C]0.04[/C][C]1232.13524178056[/C][C]35.2488242840127[/C][/ROW]
[ROW][C]0.05[/C][C]1252.30013101131[/C][C]32.3136908887206[/C][/ROW]
[ROW][C]0.06[/C][C]1267.84512026012[/C][C]33.0957225274535[/C][/ROW]
[ROW][C]0.07[/C][C]1281.59017261153[/C][C]35.3226804573767[/C][/ROW]
[ROW][C]0.08[/C][C]1294.74312900097[/C][C]37.7685153412278[/C][/ROW]
[ROW][C]0.09[/C][C]1307.64994146943[/C][C]39.4285134046555[/C][/ROW]
[ROW][C]0.1[/C][C]1320.24349258473[/C][C]39.7031158217149[/C][/ROW]
[ROW][C]0.11[/C][C]1332.28573040216[/C][C]38.5130651896952[/C][/ROW]
[ROW][C]0.12[/C][C]1343.52154070078[/C][C]36.1991766087170[/C][/ROW]
[ROW][C]0.13[/C][C]1353.77671822671[/C][C]33.3129703070999[/C][/ROW]
[ROW][C]0.14[/C][C]1363.00136537927[/C][C]30.4227310779223[/C][/ROW]
[ROW][C]0.15[/C][C]1371.26692324551[/C][C]27.9821569885111[/C][/ROW]
[ROW][C]0.16[/C][C]1378.73512122343[/C][C]26.2807820447546[/C][/ROW]
[ROW][C]0.17[/C][C]1385.61791914013[/C][C]25.4526861895403[/C][/ROW]
[ROW][C]0.18[/C][C]1392.14128880172[/C][C]25.5008250236972[/C][/ROW]
[ROW][C]0.19[/C][C]1398.51809175803[/C][C]26.3448058075058[/C][/ROW]
[ROW][C]0.2[/C][C]1404.93000287559[/C][C]27.8329330087912[/C][/ROW]
[ROW][C]0.21[/C][C]1411.51626768130[/C][C]29.7683334943135[/C][/ROW]
[ROW][C]0.22[/C][C]1418.36721189148[/C][C]31.9219691801285[/C][/ROW]
[ROW][C]0.23[/C][C]1425.52150829948[/C][C]34.0540288575685[/C][/ROW]
[ROW][C]0.24[/C][C]1432.96719412427[/C][C]35.9288065361167[/C][/ROW]
[ROW][C]0.25[/C][C]1440.64680164371[/C][C]37.3416599125554[/C][/ROW]
[ROW][C]0.26[/C][C]1448.46667087599[/C][C]38.1416436912299[/C][/ROW]
[ROW][C]0.27[/C][C]1456.30980039642[/C][C]38.2491372010265[/C][/ROW]
[ROW][C]0.28[/C][C]1464.05081107579[/C][C]37.6642824105643[/C][/ROW]
[ROW][C]0.29[/C][C]1471.57106045276[/C][C]36.4620073683405[/C][/ROW]
[ROW][C]0.3[/C][C]1478.77184076998[/C][C]34.7820699162251[/C][/ROW]
[ROW][C]0.31[/C][C]1485.58395128025[/C][C]32.8025110777827[/C][/ROW]
[ROW][C]0.32[/C][C]1491.97264261071[/C][C]30.7211369375669[/C][/ROW]
[ROW][C]0.33[/C][C]1497.93778625685[/C][C]28.7248755950951[/C][/ROW]
[ROW][C]0.34[/C][C]1503.50990714036[/C][C]26.9699555944354[/C][/ROW]
[ROW][C]0.35[/C][C]1508.74326235083[/C][C]25.5696082977833[/C][/ROW]
[ROW][C]0.36[/C][C]1513.70737570109[/C][C]24.5859516544383[/C][/ROW]
[ROW][C]0.37[/C][C]1518.47836333806[/C][C]24.0275374161538[/C][/ROW]
[ROW][C]0.38[/C][C]1523.13110054189[/C][C]23.8620481650103[/C][/ROW]
[ROW][C]0.39[/C][C]1527.73290460173[/C][C]24.0235103476723[/C][/ROW]
[ROW][C]0.4[/C][C]1532.33905163786[/C][C]24.4256863635949[/C][/ROW]
[ROW][C]0.41[/C][C]1536.99017342883[/C][C]24.9774816578768[/C][/ROW]
[ROW][C]0.42[/C][C]1541.71141062284[/C][C]25.5945293431854[/C][/ROW]
[ROW][C]0.43[/C][C]1546.51310852111[/C][C]26.1903023289425[/C][/ROW]
[ROW][C]0.44[/C][C]1551.39279073007[/C][C]26.7049029690799[/C][/ROW]
[ROW][C]0.45[/C][C]1556.33809996152[/C][C]27.0915439745392[/C][/ROW]
[ROW][C]0.46[/C][C]1561.33034114249[/C][C]27.3260533410842[/C][/ROW]
[ROW][C]0.47[/C][C]1566.34821165416[/C][C]27.4075791520818[/C][/ROW]
[ROW][C]0.48[/C][C]1571.37128519883[/C][C]27.3580849154485[/C][/ROW]
[ROW][C]0.49[/C][C]1576.38285848287[/C][C]27.2153202855024[/C][/ROW]
[ROW][C]0.5[/C][C]1581.37188729806[/C][C]27.0169460873188[/C][/ROW]
[ROW][C]0.51[/C][C]1586.33391900650[/C][C]26.8122403570103[/C][/ROW]
[ROW][C]0.52[/C][C]1591.27113452635[/C][C]26.6367747266638[/C][/ROW]
[ROW][C]0.53[/C][C]1596.19179135788[/C][C]26.5223245339084[/C][/ROW]
[ROW][C]0.54[/C][C]1601.10945729415[/C][C]26.4893093280272[/C][/ROW]
[ROW][C]0.55[/C][C]1606.04240815190[/C][C]26.5521865645049[/C][/ROW]
[ROW][C]0.56[/C][C]1611.01343001295[/C][C]26.7255132525885[/C][/ROW]
[ROW][C]0.57[/C][C]1616.05005086198[/C][C]27.0338601968359[/C][/ROW]
[ROW][C]0.58[/C][C]1621.18499041092[/C][C]27.5060652472987[/C][/ROW]
[ROW][C]0.59[/C][C]1626.45643382646[/C][C]28.1759699521606[/C][/ROW]
[ROW][C]0.6[/C][C]1631.90766752842[/C][C]29.0781962439628[/C][/ROW]
[ROW][C]0.61[/C][C]1637.58569425013[/C][C]30.2371259159241[/C][/ROW]
[ROW][C]0.62[/C][C]1643.53865796461[/C][C]31.6511463035692[/C][/ROW]
[ROW][C]0.63[/C][C]1649.81220315469[/C][C]33.2914774824936[/C][/ROW]
[ROW][C]0.64[/C][C]1656.44518682016[/C][C]35.1046694291378[/C][/ROW]
[ROW][C]0.65[/C][C]1663.46537347332[/C][C]37.0053942821006[/C][/ROW]
[ROW][C]0.66[/C][C]1670.88581577194[/C][C]38.8981123604728[/C][/ROW]
[ROW][C]0.67[/C][C]1678.70254230839[/C][C]40.6770605730514[/C][/ROW]
[ROW][C]0.68[/C][C]1686.8939722475[/C][C]42.2490006329523[/C][/ROW]
[ROW][C]0.69[/C][C]1695.42221985588[/C][C]43.5316627678155[/C][/ROW]
[ROW][C]0.7[/C][C]1704.23621228227[/C][C]44.4663816209642[/C][/ROW]
[ROW][C]0.71[/C][C]1713.27636864299[/C][C]45.0252650946817[/C][/ROW]
[ROW][C]0.72[/C][C]1722.48048017796[/C][C]45.2067672471997[/C][/ROW]
[ROW][C]0.73[/C][C]1731.79034868033[/C][C]45.0443506039816[/C][/ROW]
[ROW][C]0.74[/C][C]1741.15862473183[/C][C]44.6043980505868[/C][/ROW]
[ROW][C]0.75[/C][C]1750.55510695104[/C][C]43.980396880237[/C][/ROW]
[ROW][C]0.76[/C][C]1759.97155815266[/C][C]43.2905910750073[/C][/ROW]
[ROW][C]0.77[/C][C]1769.42399096621[/C][C]42.6661136994304[/C][/ROW]
[ROW][C]0.78[/C][C]1778.95155364191[/C][C]42.2266989299961[/C][/ROW]
[ROW][C]0.79[/C][C]1788.61175071788[/C][C]42.0596726503594[/C][/ROW]
[ROW][C]0.8[/C][C]1798.47276139943[/C][C]42.1940346869962[/C][/ROW]
[ROW][C]0.81[/C][C]1808.60485246363[/C][C]42.591073425868[/C][/ROW]
[ROW][C]0.82[/C][C]1819.07391937835[/C][C]43.1616673151152[/C][/ROW]
[ROW][C]0.83[/C][C]1829.94059220350[/C][C]43.806037503711[/C][/ROW]
[ROW][C]0.84[/C][C]1841.26782537184[/C][C]44.4651140197992[/C][/ROW]
[ROW][C]0.85[/C][C]1853.13836493433[/C][C]45.1654261707175[/C][/ROW]
[ROW][C]0.86[/C][C]1865.68084349322[/C][C]46.0476463360017[/C][/ROW]
[ROW][C]0.87[/C][C]1879.09900740461[/C][C]47.3745026310884[/C][/ROW]
[ROW][C]0.88[/C][C]1893.69198653330[/C][C]49.4948701637112[/C][/ROW]
[ROW][C]0.89[/C][C]1909.84506449181[/C][C]52.7430899843682[/C][/ROW]
[ROW][C]0.9[/C][C]1927.96528782897[/C][C]57.2157280248103[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39101&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39101&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
0.011105.02121266284121.721272604253
0.021158.7482295222977.6739545780855
0.031202.4762474427747.8986469601667
0.041232.1352417805635.2488242840127
0.051252.3001310113132.3136908887206
0.061267.8451202601233.0957225274535
0.071281.5901726115335.3226804573767
0.081294.7431290009737.7685153412278
0.091307.6499414694339.4285134046555
0.11320.2434925847339.7031158217149
0.111332.2857304021638.5130651896952
0.121343.5215407007836.1991766087170
0.131353.7767182267133.3129703070999
0.141363.0013653792730.4227310779223
0.151371.2669232455127.9821569885111
0.161378.7351212234326.2807820447546
0.171385.6179191401325.4526861895403
0.181392.1412888017225.5008250236972
0.191398.5180917580326.3448058075058
0.21404.9300028755927.8329330087912
0.211411.5162676813029.7683334943135
0.221418.3672118914831.9219691801285
0.231425.5215082994834.0540288575685
0.241432.9671941242735.9288065361167
0.251440.6468016437137.3416599125554
0.261448.4666708759938.1416436912299
0.271456.3098003964238.2491372010265
0.281464.0508110757937.6642824105643
0.291471.5710604527636.4620073683405
0.31478.7718407699834.7820699162251
0.311485.5839512802532.8025110777827
0.321491.9726426107130.7211369375669
0.331497.9377862568528.7248755950951
0.341503.5099071403626.9699555944354
0.351508.7432623508325.5696082977833
0.361513.7073757010924.5859516544383
0.371518.4783633380624.0275374161538
0.381523.1311005418923.8620481650103
0.391527.7329046017324.0235103476723
0.41532.3390516378624.4256863635949
0.411536.9901734288324.9774816578768
0.421541.7114106228425.5945293431854
0.431546.5131085211126.1903023289425
0.441551.3927907300726.7049029690799
0.451556.3380999615227.0915439745392
0.461561.3303411424927.3260533410842
0.471566.3482116541627.4075791520818
0.481571.3712851988327.3580849154485
0.491576.3828584828727.2153202855024
0.51581.3718872980627.0169460873188
0.511586.3339190065026.8122403570103
0.521591.2711345263526.6367747266638
0.531596.1917913578826.5223245339084
0.541601.1094572941526.4893093280272
0.551606.0424081519026.5521865645049
0.561611.0134300129526.7255132525885
0.571616.0500508619827.0338601968359
0.581621.1849904109227.5060652472987
0.591626.4564338264628.1759699521606
0.61631.9076675284229.0781962439628
0.611637.5856942501330.2371259159241
0.621643.5386579646131.6511463035692
0.631649.8122031546933.2914774824936
0.641656.4451868201635.1046694291378
0.651663.4653734733237.0053942821006
0.661670.8858157719438.8981123604728
0.671678.7025423083940.6770605730514
0.681686.893972247542.2490006329523
0.691695.4222198558843.5316627678155
0.71704.2362122822744.4663816209642
0.711713.2763686429945.0252650946817
0.721722.4804801779645.2067672471997
0.731731.7903486803345.0443506039816
0.741741.1586247318344.6043980505868
0.751750.5551069510443.980396880237
0.761759.9715581526643.2905910750073
0.771769.4239909662142.6661136994304
0.781778.9515536419142.2266989299961
0.791788.6117507178842.0596726503594
0.81798.4727613994342.1940346869962
0.811808.6048524636342.591073425868
0.821819.0739193783543.1616673151152
0.831829.9405922035043.806037503711
0.841841.2678253718444.4651140197992
0.851853.1383649343345.1654261707175
0.861865.6808434932246.0476463360017
0.871879.0990074046147.3745026310884
0.881893.6919865333049.4948701637112
0.891909.8450644918152.7430899843682
0.91927.9652878289757.2157280248103


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.9 ; 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')