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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 Thu, 06 Oct 2022 22:46:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39101, Retrieved Thu, 06 Oct 2022 22:46:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
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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Dataseries X:
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




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:  

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:  

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



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')