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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 computationThu, 26 Mar 2009 11:28:33 -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/26/t1238088570ygtkcwsw71ll6ev.htm/, Retrieved Thu, 25 Apr 2024 17:18:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39201, Retrieved Thu, 25 Apr 2024 17:18:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact230

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Aantal bouwvergun...] [2009-03-26 17:28:33] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1528
1816
1420
1757
1544
1678
1655
1391
1403
1744
1266
1358
1596
1819
1416
1521
1638
1543
1623
1530
1336
1700
1615
1494
1578
1607
1767
1505
1938
1862
2571
2082
1781
1869
1785
1682
1556
2080
2027
1887
1935
1798
1590
1592
1387
1849
1470
1437
1500
2081
1552
1586
1914
1639
1633
1693
1224
1417
1577
1225
1510
1515
1393
1455
1532
1268
1365
1282
1063
1296
1639
1247
1515
1547
1299

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=39201&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=39201&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39201&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
0.011106.03613453156119.645159858272
0.021159.8126915775873.0833971968313
0.031201.6060946854141.7140642557239
0.041228.2155406766928.3807032778867
0.051245.1409995663325.1557987012642
0.061257.5735990758525.2721307532111
0.071268.3279445851026.7112759025586
0.081278.6388607082029.1431361620607
0.091289.0388189025332.2240399583984
0.11299.7515514138135.3944035630985
0.111310.8077661510938.061553775197
0.121322.0897540610139.7788707793168
0.131333.3829661672040.3383360083458
0.141344.4397770705539.7841917976991
0.151355.0398752163638.3676429287498
0.161365.0335570214136.4714496430411
0.171374.3619351305334.5070762682512
0.181383.0552358115232.8475916210515
0.191391.2148867631231.7644128209503
0.21398.9867129147631.3945876709228
0.211406.5319387739931.7385247292525
0.221414.0009259443332.6765811120173
0.231421.5126353190834.0024320591992
0.241429.1412533488135.4631630625639
0.251436.9103660833536.8066377851208
0.261444.7943373930437.7999984006453
0.271452.725942636838.2714978077290
0.281460.6087339011338.116835711924
0.291468.3321224076537.3135963516303
0.31475.7868962214735.9175793805692
0.311482.8789703275734.0478037364551
0.321489.5396219813531.8655601474285
0.331495.7312101736529.548715725884
0.341501.44823978227.272747675429
0.351506.714408994525.1852960414942
0.361511.5768127775723.3988336683230
0.371516.0986874489221.9801433941073
0.381520.351985751920.9584781586299
0.391524.4107546737520.3223013254308
0.41528.3458719997720.0423107041291
0.411532.2213014440420.0658153433813
0.421536.0917360937220.3388193798762
0.431540.0013535549220.8012490155955
0.441543.9833936404521.3951080918866
0.451548.0603458242122.061325070502
0.461552.2446387711222.7496252732363
0.471556.5398029773223.4115565286817
0.481560.9420963600524.0087029154352
0.491565.4425377103224.5170405251212
0.51570.0292085934324.9299623921877
0.511574.6896022777225.2535529321512
0.521579.4127612355225.5046032391950
0.531584.1909793893125.7136480553118
0.541589.0209508767325.9062806103437
0.551593.9043939285026.1145256381113
0.561598.8483169231426.3667995912916
0.571603.8651717799726.6840057688901
0.581608.9731225744527.0862087329219
0.591614.196540956327.6086291190875
0.61619.5666558545728.2820899281757
0.611625.1220901153129.1490046902223
0.621630.9088754790130.2502679177898
0.631636.9795003015031.6248069305995
0.641643.3906332206533.2862970809742
0.651650.1993689140835.2291322596854
0.661657.4581217530637.4102631200714
0.671665.2086002384039.7520326643184
0.681673.4755807251242.1463978907475
0.691682.261419002944.459826376598
0.71691.5423496045546.5435064236312
0.711701.2675777778748.2553546525361
0.721711.3619200439849.4669263582223
0.731721.732268122650.1005075216881
0.741732.2774623669950.1306116786336
0.751742.9003720098149.6055683603905
0.761753.5202850140148.6361807591277
0.771764.0833539140447.3896891763615
0.781774.5690383338646.0610125402318
0.791784.9913125254844.830848192757
0.81795.3947456496143.8408459410844
0.811805.8470845860143.1657679570604
0.821816.4312322600242.8125836574902
0.831827.2401363987242.7482632224079
0.841838.3779172954642.9422479402388
0.851849.9696037195843.4010890186295
0.861862.1800414460544.2126648742223
0.871875.2392093116145.5566588318882
0.881889.4649282283547.7076399018175
0.891905.2640308552750.9700988552149
0.91923.083189161555.4955872579757
0.911943.2849767280460.9463174576393
0.921965.9740374560566.1594681059388
0.931990.9405315333269.201307253789
0.942018.1657986643568.3364105542025
0.952049.6560303829464.7054537547229
0.962093.0767813736569.4390525102542
0.972164.89634020909111.134538702778
0.982283.84176932117212.288178029636
0.992442.11963113221359.787324443578

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1106.03613453156 & 119.645159858272 \tabularnewline
0.02 & 1159.81269157758 & 73.0833971968313 \tabularnewline
0.03 & 1201.60609468541 & 41.7140642557239 \tabularnewline
0.04 & 1228.21554067669 & 28.3807032778867 \tabularnewline
0.05 & 1245.14099956633 & 25.1557987012642 \tabularnewline
0.06 & 1257.57359907585 & 25.2721307532111 \tabularnewline
0.07 & 1268.32794458510 & 26.7112759025586 \tabularnewline
0.08 & 1278.63886070820 & 29.1431361620607 \tabularnewline
0.09 & 1289.03881890253 & 32.2240399583984 \tabularnewline
0.1 & 1299.75155141381 & 35.3944035630985 \tabularnewline
0.11 & 1310.80776615109 & 38.061553775197 \tabularnewline
0.12 & 1322.08975406101 & 39.7788707793168 \tabularnewline
0.13 & 1333.38296616720 & 40.3383360083458 \tabularnewline
0.14 & 1344.43977707055 & 39.7841917976991 \tabularnewline
0.15 & 1355.03987521636 & 38.3676429287498 \tabularnewline
0.16 & 1365.03355702141 & 36.4714496430411 \tabularnewline
0.17 & 1374.36193513053 & 34.5070762682512 \tabularnewline
0.18 & 1383.05523581152 & 32.8475916210515 \tabularnewline
0.19 & 1391.21488676312 & 31.7644128209503 \tabularnewline
0.2 & 1398.98671291476 & 31.3945876709228 \tabularnewline
0.21 & 1406.53193877399 & 31.7385247292525 \tabularnewline
0.22 & 1414.00092594433 & 32.6765811120173 \tabularnewline
0.23 & 1421.51263531908 & 34.0024320591992 \tabularnewline
0.24 & 1429.14125334881 & 35.4631630625639 \tabularnewline
0.25 & 1436.91036608335 & 36.8066377851208 \tabularnewline
0.26 & 1444.79433739304 & 37.7999984006453 \tabularnewline
0.27 & 1452.7259426368 & 38.2714978077290 \tabularnewline
0.28 & 1460.60873390113 & 38.116835711924 \tabularnewline
0.29 & 1468.33212240765 & 37.3135963516303 \tabularnewline
0.3 & 1475.78689622147 & 35.9175793805692 \tabularnewline
0.31 & 1482.87897032757 & 34.0478037364551 \tabularnewline
0.32 & 1489.53962198135 & 31.8655601474285 \tabularnewline
0.33 & 1495.73121017365 & 29.548715725884 \tabularnewline
0.34 & 1501.448239782 & 27.272747675429 \tabularnewline
0.35 & 1506.7144089945 & 25.1852960414942 \tabularnewline
0.36 & 1511.57681277757 & 23.3988336683230 \tabularnewline
0.37 & 1516.09868744892 & 21.9801433941073 \tabularnewline
0.38 & 1520.3519857519 & 20.9584781586299 \tabularnewline
0.39 & 1524.41075467375 & 20.3223013254308 \tabularnewline
0.4 & 1528.34587199977 & 20.0423107041291 \tabularnewline
0.41 & 1532.22130144404 & 20.0658153433813 \tabularnewline
0.42 & 1536.09173609372 & 20.3388193798762 \tabularnewline
0.43 & 1540.00135355492 & 20.8012490155955 \tabularnewline
0.44 & 1543.98339364045 & 21.3951080918866 \tabularnewline
0.45 & 1548.06034582421 & 22.061325070502 \tabularnewline
0.46 & 1552.24463877112 & 22.7496252732363 \tabularnewline
0.47 & 1556.53980297732 & 23.4115565286817 \tabularnewline
0.48 & 1560.94209636005 & 24.0087029154352 \tabularnewline
0.49 & 1565.44253771032 & 24.5170405251212 \tabularnewline
0.5 & 1570.02920859343 & 24.9299623921877 \tabularnewline
0.51 & 1574.68960227772 & 25.2535529321512 \tabularnewline
0.52 & 1579.41276123552 & 25.5046032391950 \tabularnewline
0.53 & 1584.19097938931 & 25.7136480553118 \tabularnewline
0.54 & 1589.02095087673 & 25.9062806103437 \tabularnewline
0.55 & 1593.90439392850 & 26.1145256381113 \tabularnewline
0.56 & 1598.84831692314 & 26.3667995912916 \tabularnewline
0.57 & 1603.86517177997 & 26.6840057688901 \tabularnewline
0.58 & 1608.97312257445 & 27.0862087329219 \tabularnewline
0.59 & 1614.1965409563 & 27.6086291190875 \tabularnewline
0.6 & 1619.56665585457 & 28.2820899281757 \tabularnewline
0.61 & 1625.12209011531 & 29.1490046902223 \tabularnewline
0.62 & 1630.90887547901 & 30.2502679177898 \tabularnewline
0.63 & 1636.97950030150 & 31.6248069305995 \tabularnewline
0.64 & 1643.39063322065 & 33.2862970809742 \tabularnewline
0.65 & 1650.19936891408 & 35.2291322596854 \tabularnewline
0.66 & 1657.45812175306 & 37.4102631200714 \tabularnewline
0.67 & 1665.20860023840 & 39.7520326643184 \tabularnewline
0.68 & 1673.47558072512 & 42.1463978907475 \tabularnewline
0.69 & 1682.2614190029 & 44.459826376598 \tabularnewline
0.7 & 1691.54234960455 & 46.5435064236312 \tabularnewline
0.71 & 1701.26757777787 & 48.2553546525361 \tabularnewline
0.72 & 1711.36192004398 & 49.4669263582223 \tabularnewline
0.73 & 1721.7322681226 & 50.1005075216881 \tabularnewline
0.74 & 1732.27746236699 & 50.1306116786336 \tabularnewline
0.75 & 1742.90037200981 & 49.6055683603905 \tabularnewline
0.76 & 1753.52028501401 & 48.6361807591277 \tabularnewline
0.77 & 1764.08335391404 & 47.3896891763615 \tabularnewline
0.78 & 1774.56903833386 & 46.0610125402318 \tabularnewline
0.79 & 1784.99131252548 & 44.830848192757 \tabularnewline
0.8 & 1795.39474564961 & 43.8408459410844 \tabularnewline
0.81 & 1805.84708458601 & 43.1657679570604 \tabularnewline
0.82 & 1816.43123226002 & 42.8125836574902 \tabularnewline
0.83 & 1827.24013639872 & 42.7482632224079 \tabularnewline
0.84 & 1838.37791729546 & 42.9422479402388 \tabularnewline
0.85 & 1849.96960371958 & 43.4010890186295 \tabularnewline
0.86 & 1862.18004144605 & 44.2126648742223 \tabularnewline
0.87 & 1875.23920931161 & 45.5566588318882 \tabularnewline
0.88 & 1889.46492822835 & 47.7076399018175 \tabularnewline
0.89 & 1905.26403085527 & 50.9700988552149 \tabularnewline
0.9 & 1923.0831891615 & 55.4955872579757 \tabularnewline
0.91 & 1943.28497672804 & 60.9463174576393 \tabularnewline
0.92 & 1965.97403745605 & 66.1594681059388 \tabularnewline
0.93 & 1990.94053153332 & 69.201307253789 \tabularnewline
0.94 & 2018.16579866435 & 68.3364105542025 \tabularnewline
0.95 & 2049.65603038294 & 64.7054537547229 \tabularnewline
0.96 & 2093.07678137365 & 69.4390525102542 \tabularnewline
0.97 & 2164.89634020909 & 111.134538702778 \tabularnewline
0.98 & 2283.84176932117 & 212.288178029636 \tabularnewline
0.99 & 2442.11963113221 & 359.787324443578 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39201&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]1106.03613453156[/C][C]119.645159858272[/C][/ROW]
[ROW][C]0.02[/C][C]1159.81269157758[/C][C]73.0833971968313[/C][/ROW]
[ROW][C]0.03[/C][C]1201.60609468541[/C][C]41.7140642557239[/C][/ROW]
[ROW][C]0.04[/C][C]1228.21554067669[/C][C]28.3807032778867[/C][/ROW]
[ROW][C]0.05[/C][C]1245.14099956633[/C][C]25.1557987012642[/C][/ROW]
[ROW][C]0.06[/C][C]1257.57359907585[/C][C]25.2721307532111[/C][/ROW]
[ROW][C]0.07[/C][C]1268.32794458510[/C][C]26.7112759025586[/C][/ROW]
[ROW][C]0.08[/C][C]1278.63886070820[/C][C]29.1431361620607[/C][/ROW]
[ROW][C]0.09[/C][C]1289.03881890253[/C][C]32.2240399583984[/C][/ROW]
[ROW][C]0.1[/C][C]1299.75155141381[/C][C]35.3944035630985[/C][/ROW]
[ROW][C]0.11[/C][C]1310.80776615109[/C][C]38.061553775197[/C][/ROW]
[ROW][C]0.12[/C][C]1322.08975406101[/C][C]39.7788707793168[/C][/ROW]
[ROW][C]0.13[/C][C]1333.38296616720[/C][C]40.3383360083458[/C][/ROW]
[ROW][C]0.14[/C][C]1344.43977707055[/C][C]39.7841917976991[/C][/ROW]
[ROW][C]0.15[/C][C]1355.03987521636[/C][C]38.3676429287498[/C][/ROW]
[ROW][C]0.16[/C][C]1365.03355702141[/C][C]36.4714496430411[/C][/ROW]
[ROW][C]0.17[/C][C]1374.36193513053[/C][C]34.5070762682512[/C][/ROW]
[ROW][C]0.18[/C][C]1383.05523581152[/C][C]32.8475916210515[/C][/ROW]
[ROW][C]0.19[/C][C]1391.21488676312[/C][C]31.7644128209503[/C][/ROW]
[ROW][C]0.2[/C][C]1398.98671291476[/C][C]31.3945876709228[/C][/ROW]
[ROW][C]0.21[/C][C]1406.53193877399[/C][C]31.7385247292525[/C][/ROW]
[ROW][C]0.22[/C][C]1414.00092594433[/C][C]32.6765811120173[/C][/ROW]
[ROW][C]0.23[/C][C]1421.51263531908[/C][C]34.0024320591992[/C][/ROW]
[ROW][C]0.24[/C][C]1429.14125334881[/C][C]35.4631630625639[/C][/ROW]
[ROW][C]0.25[/C][C]1436.91036608335[/C][C]36.8066377851208[/C][/ROW]
[ROW][C]0.26[/C][C]1444.79433739304[/C][C]37.7999984006453[/C][/ROW]
[ROW][C]0.27[/C][C]1452.7259426368[/C][C]38.2714978077290[/C][/ROW]
[ROW][C]0.28[/C][C]1460.60873390113[/C][C]38.116835711924[/C][/ROW]
[ROW][C]0.29[/C][C]1468.33212240765[/C][C]37.3135963516303[/C][/ROW]
[ROW][C]0.3[/C][C]1475.78689622147[/C][C]35.9175793805692[/C][/ROW]
[ROW][C]0.31[/C][C]1482.87897032757[/C][C]34.0478037364551[/C][/ROW]
[ROW][C]0.32[/C][C]1489.53962198135[/C][C]31.8655601474285[/C][/ROW]
[ROW][C]0.33[/C][C]1495.73121017365[/C][C]29.548715725884[/C][/ROW]
[ROW][C]0.34[/C][C]1501.448239782[/C][C]27.272747675429[/C][/ROW]
[ROW][C]0.35[/C][C]1506.7144089945[/C][C]25.1852960414942[/C][/ROW]
[ROW][C]0.36[/C][C]1511.57681277757[/C][C]23.3988336683230[/C][/ROW]
[ROW][C]0.37[/C][C]1516.09868744892[/C][C]21.9801433941073[/C][/ROW]
[ROW][C]0.38[/C][C]1520.3519857519[/C][C]20.9584781586299[/C][/ROW]
[ROW][C]0.39[/C][C]1524.41075467375[/C][C]20.3223013254308[/C][/ROW]
[ROW][C]0.4[/C][C]1528.34587199977[/C][C]20.0423107041291[/C][/ROW]
[ROW][C]0.41[/C][C]1532.22130144404[/C][C]20.0658153433813[/C][/ROW]
[ROW][C]0.42[/C][C]1536.09173609372[/C][C]20.3388193798762[/C][/ROW]
[ROW][C]0.43[/C][C]1540.00135355492[/C][C]20.8012490155955[/C][/ROW]
[ROW][C]0.44[/C][C]1543.98339364045[/C][C]21.3951080918866[/C][/ROW]
[ROW][C]0.45[/C][C]1548.06034582421[/C][C]22.061325070502[/C][/ROW]
[ROW][C]0.46[/C][C]1552.24463877112[/C][C]22.7496252732363[/C][/ROW]
[ROW][C]0.47[/C][C]1556.53980297732[/C][C]23.4115565286817[/C][/ROW]
[ROW][C]0.48[/C][C]1560.94209636005[/C][C]24.0087029154352[/C][/ROW]
[ROW][C]0.49[/C][C]1565.44253771032[/C][C]24.5170405251212[/C][/ROW]
[ROW][C]0.5[/C][C]1570.02920859343[/C][C]24.9299623921877[/C][/ROW]
[ROW][C]0.51[/C][C]1574.68960227772[/C][C]25.2535529321512[/C][/ROW]
[ROW][C]0.52[/C][C]1579.41276123552[/C][C]25.5046032391950[/C][/ROW]
[ROW][C]0.53[/C][C]1584.19097938931[/C][C]25.7136480553118[/C][/ROW]
[ROW][C]0.54[/C][C]1589.02095087673[/C][C]25.9062806103437[/C][/ROW]
[ROW][C]0.55[/C][C]1593.90439392850[/C][C]26.1145256381113[/C][/ROW]
[ROW][C]0.56[/C][C]1598.84831692314[/C][C]26.3667995912916[/C][/ROW]
[ROW][C]0.57[/C][C]1603.86517177997[/C][C]26.6840057688901[/C][/ROW]
[ROW][C]0.58[/C][C]1608.97312257445[/C][C]27.0862087329219[/C][/ROW]
[ROW][C]0.59[/C][C]1614.1965409563[/C][C]27.6086291190875[/C][/ROW]
[ROW][C]0.6[/C][C]1619.56665585457[/C][C]28.2820899281757[/C][/ROW]
[ROW][C]0.61[/C][C]1625.12209011531[/C][C]29.1490046902223[/C][/ROW]
[ROW][C]0.62[/C][C]1630.90887547901[/C][C]30.2502679177898[/C][/ROW]
[ROW][C]0.63[/C][C]1636.97950030150[/C][C]31.6248069305995[/C][/ROW]
[ROW][C]0.64[/C][C]1643.39063322065[/C][C]33.2862970809742[/C][/ROW]
[ROW][C]0.65[/C][C]1650.19936891408[/C][C]35.2291322596854[/C][/ROW]
[ROW][C]0.66[/C][C]1657.45812175306[/C][C]37.4102631200714[/C][/ROW]
[ROW][C]0.67[/C][C]1665.20860023840[/C][C]39.7520326643184[/C][/ROW]
[ROW][C]0.68[/C][C]1673.47558072512[/C][C]42.1463978907475[/C][/ROW]
[ROW][C]0.69[/C][C]1682.2614190029[/C][C]44.459826376598[/C][/ROW]
[ROW][C]0.7[/C][C]1691.54234960455[/C][C]46.5435064236312[/C][/ROW]
[ROW][C]0.71[/C][C]1701.26757777787[/C][C]48.2553546525361[/C][/ROW]
[ROW][C]0.72[/C][C]1711.36192004398[/C][C]49.4669263582223[/C][/ROW]
[ROW][C]0.73[/C][C]1721.7322681226[/C][C]50.1005075216881[/C][/ROW]
[ROW][C]0.74[/C][C]1732.27746236699[/C][C]50.1306116786336[/C][/ROW]
[ROW][C]0.75[/C][C]1742.90037200981[/C][C]49.6055683603905[/C][/ROW]
[ROW][C]0.76[/C][C]1753.52028501401[/C][C]48.6361807591277[/C][/ROW]
[ROW][C]0.77[/C][C]1764.08335391404[/C][C]47.3896891763615[/C][/ROW]
[ROW][C]0.78[/C][C]1774.56903833386[/C][C]46.0610125402318[/C][/ROW]
[ROW][C]0.79[/C][C]1784.99131252548[/C][C]44.830848192757[/C][/ROW]
[ROW][C]0.8[/C][C]1795.39474564961[/C][C]43.8408459410844[/C][/ROW]
[ROW][C]0.81[/C][C]1805.84708458601[/C][C]43.1657679570604[/C][/ROW]
[ROW][C]0.82[/C][C]1816.43123226002[/C][C]42.8125836574902[/C][/ROW]
[ROW][C]0.83[/C][C]1827.24013639872[/C][C]42.7482632224079[/C][/ROW]
[ROW][C]0.84[/C][C]1838.37791729546[/C][C]42.9422479402388[/C][/ROW]
[ROW][C]0.85[/C][C]1849.96960371958[/C][C]43.4010890186295[/C][/ROW]
[ROW][C]0.86[/C][C]1862.18004144605[/C][C]44.2126648742223[/C][/ROW]
[ROW][C]0.87[/C][C]1875.23920931161[/C][C]45.5566588318882[/C][/ROW]
[ROW][C]0.88[/C][C]1889.46492822835[/C][C]47.7076399018175[/C][/ROW]
[ROW][C]0.89[/C][C]1905.26403085527[/C][C]50.9700988552149[/C][/ROW]
[ROW][C]0.9[/C][C]1923.0831891615[/C][C]55.4955872579757[/C][/ROW]
[ROW][C]0.91[/C][C]1943.28497672804[/C][C]60.9463174576393[/C][/ROW]
[ROW][C]0.92[/C][C]1965.97403745605[/C][C]66.1594681059388[/C][/ROW]
[ROW][C]0.93[/C][C]1990.94053153332[/C][C]69.201307253789[/C][/ROW]
[ROW][C]0.94[/C][C]2018.16579866435[/C][C]68.3364105542025[/C][/ROW]
[ROW][C]0.95[/C][C]2049.65603038294[/C][C]64.7054537547229[/C][/ROW]
[ROW][C]0.96[/C][C]2093.07678137365[/C][C]69.4390525102542[/C][/ROW]
[ROW][C]0.97[/C][C]2164.89634020909[/C][C]111.134538702778[/C][/ROW]
[ROW][C]0.98[/C][C]2283.84176932117[/C][C]212.288178029636[/C][/ROW]
[ROW][C]0.99[/C][C]2442.11963113221[/C][C]359.787324443578[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39201&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39201&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
0.011106.03613453156119.645159858272
0.021159.8126915775873.0833971968313
0.031201.6060946854141.7140642557239
0.041228.2155406766928.3807032778867
0.051245.1409995663325.1557987012642
0.061257.5735990758525.2721307532111
0.071268.3279445851026.7112759025586
0.081278.6388607082029.1431361620607
0.091289.0388189025332.2240399583984
0.11299.7515514138135.3944035630985
0.111310.8077661510938.061553775197
0.121322.0897540610139.7788707793168
0.131333.3829661672040.3383360083458
0.141344.4397770705539.7841917976991
0.151355.0398752163638.3676429287498
0.161365.0335570214136.4714496430411
0.171374.3619351305334.5070762682512
0.181383.0552358115232.8475916210515
0.191391.2148867631231.7644128209503
0.21398.9867129147631.3945876709228
0.211406.5319387739931.7385247292525
0.221414.0009259443332.6765811120173
0.231421.5126353190834.0024320591992
0.241429.1412533488135.4631630625639
0.251436.9103660833536.8066377851208
0.261444.7943373930437.7999984006453
0.271452.725942636838.2714978077290
0.281460.6087339011338.116835711924
0.291468.3321224076537.3135963516303
0.31475.7868962214735.9175793805692
0.311482.8789703275734.0478037364551
0.321489.5396219813531.8655601474285
0.331495.7312101736529.548715725884
0.341501.44823978227.272747675429
0.351506.714408994525.1852960414942
0.361511.5768127775723.3988336683230
0.371516.0986874489221.9801433941073
0.381520.351985751920.9584781586299
0.391524.4107546737520.3223013254308
0.41528.3458719997720.0423107041291
0.411532.2213014440420.0658153433813
0.421536.0917360937220.3388193798762
0.431540.0013535549220.8012490155955
0.441543.9833936404521.3951080918866
0.451548.0603458242122.061325070502
0.461552.2446387711222.7496252732363
0.471556.5398029773223.4115565286817
0.481560.9420963600524.0087029154352
0.491565.4425377103224.5170405251212
0.51570.0292085934324.9299623921877
0.511574.6896022777225.2535529321512
0.521579.4127612355225.5046032391950
0.531584.1909793893125.7136480553118
0.541589.0209508767325.9062806103437
0.551593.9043939285026.1145256381113
0.561598.8483169231426.3667995912916
0.571603.8651717799726.6840057688901
0.581608.9731225744527.0862087329219
0.591614.196540956327.6086291190875
0.61619.5666558545728.2820899281757
0.611625.1220901153129.1490046902223
0.621630.9088754790130.2502679177898
0.631636.9795003015031.6248069305995
0.641643.3906332206533.2862970809742
0.651650.1993689140835.2291322596854
0.661657.4581217530637.4102631200714
0.671665.2086002384039.7520326643184
0.681673.4755807251242.1463978907475
0.691682.261419002944.459826376598
0.71691.5423496045546.5435064236312
0.711701.2675777778748.2553546525361
0.721711.3619200439849.4669263582223
0.731721.732268122650.1005075216881
0.741732.2774623669950.1306116786336
0.751742.9003720098149.6055683603905
0.761753.5202850140148.6361807591277
0.771764.0833539140447.3896891763615
0.781774.5690383338646.0610125402318
0.791784.9913125254844.830848192757
0.81795.3947456496143.8408459410844
0.811805.8470845860143.1657679570604
0.821816.4312322600242.8125836574902
0.831827.2401363987242.7482632224079
0.841838.3779172954642.9422479402388
0.851849.9696037195843.4010890186295
0.861862.1800414460544.2126648742223
0.871875.2392093116145.5566588318882
0.881889.4649282283547.7076399018175
0.891905.2640308552750.9700988552149
0.91923.083189161555.4955872579757
0.911943.2849767280460.9463174576393
0.921965.9740374560566.1594681059388
0.931990.9405315333269.201307253789
0.942018.1657986643568.3364105542025
0.952049.6560303829464.7054537547229
0.962093.0767813736569.4390525102542
0.972164.89634020909111.134538702778
0.982283.84176932117212.288178029636
0.992442.11963113221359.787324443578


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')