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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, 12 Dec 2010 15:47:48 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/12/t12921688216cij2yh0m6p4c08.htm/, Retrieved Tue, 07 May 2024 06:31:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108529, Retrieved Tue, 07 May 2024 06:31:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact112

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] [] [2010-12-12 15:47:48] [49c40d716750d950b45a50638ed38982] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
1640
1524
1429
1827
1603
1351
1267
1742
1384
1392
1649
1665
1526
1717
1391
1790
1472
1350
1704
1391
1190
1351
1160
1236
1444
1257
1193
1701
1428
1611
1431
1472
1240
1276
1467
1603
2014
2463
2510

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108529&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108529&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108529&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011169.0658021013725.3669382031343
0.021182.6607947970823.3307576358295
0.031197.1484315011425.5895800606437
0.041211.2606874914528.7080114888265
0.051224.905651552930.7969388877639
0.061238.1906034800932.4987901225885
0.071251.2501222749334.8256690271114
0.081264.2567222870437.8700552026174
0.091277.3417147498640.9144968317575
0.11290.4970966647343.0911123916742
0.111303.5532564328843.8455623241047
0.121316.239111071443.0904171065222
0.131328.276671203541.1271922784003
0.141339.4605187721838.4733760981381
0.151349.6969423717535.6623552319184
0.161359.0025445646133.111397157365
0.171367.4766145910931.0583988817717
0.181375.2644527282229.5870373462552
0.191382.5243261142328.6772545971392
0.21389.4040067117328.2474554769818
0.211396.0274988428528.1841933613288
0.221402.4898690246528.3710182171687
0.231408.8575532375628.6884266643231
0.241415.1720057453429.0471005510312
0.251421.4551700116129.3824729021841
0.261427.7156378767329.6722004070549
0.271433.9545661879329.9094802469134
0.281440.1706121386530.1108195952044
0.291446.3634245945830.3005716736933
0.31452.5355618400830.5041201331687
0.311458.6930071845130.7386837991508
0.321464.8446481683331.0176822722702
0.331471.0011517685531.3446362270618
0.341477.1736327024431.7182880425919
0.351483.3724176267632.1296210876661
0.361489.6060903763332.5636274355293
0.371495.8808836722833.004523853906
0.381502.2003747369733.4365365697326
0.391508.5653613548933.8510690122131
0.41514.9737600109634.2335193201037
0.411521.4203941750834.5691831068084
0.421527.8966295526934.8432418409856
0.431534.3899437063335.0334693286159
0.441540.8836498647935.1127917726758
0.451547.3570806101435.0539883281794
0.461553.7865359402334.8350085758829
0.471560.1471941380734.4455548310716
0.481566.4159858878733.8951658802608
0.491572.5751842777433.2215159475738
0.51578.6162264936232.4825616057283
0.511584.543120578431.7657818697233
0.521590.3747520243831.1696219249666
0.531596.1455127186530.8008685317578
0.541601.903918444130.7470057138549
0.551607.7092190390631.0710795192618
0.561613.626372810131.7900961918316
0.571619.7200791894332.8795102594375
0.581626.0487708549934.2667052587631
0.591632.659507257135.8556048564607
0.61639.5845648426737.5395472183337
0.611646.8402024723439.211710633459
0.621654.4276507260440.7853886709222
0.631662.3359219114742.2050001873426
0.641670.5456726444543.4409901475571
0.651679.0331748881244.4942867779167
0.661687.773528639145.38282417941
0.671696.7425784188246.1243653737196
0.681705.9174945902146.7381064572714
0.691715.2764980500647.2192108458468
0.71724.798562854347.5617191650646
0.711734.4639800316947.7500153041308
0.721744.2563617933647.7895865330758
0.731754.166102714247.704849939132
0.741764.1947127392547.5592897717255
0.751774.3590636696847.4442730698412
0.761784.6946411722547.4590299532965
0.771795.2573752676247.6982648701309
0.781806.1243036203848.2395794568361
0.791817.3938000570949.1364395978986
0.81829.1859732981250.4385002972652
0.811841.6429353540552.1984477078122
0.821854.9271975177254.4757775910608
0.831869.2151892629957.3099902189792
0.841884.6829152463460.6683338974503
0.851901.4833953649964.393713013278
0.861919.7221163947568.1770310288577
0.871939.4481526806471.5920466155984
0.881960.6938540201374.2454955257586
0.891983.6085146080276.0740782923708
0.92008.723612128477.8625496493073
0.912037.3279391862881.9569198803164
0.922071.7908205170192.559114072563
0.932115.47413923306113.722038376496
0.942171.77399908509144.618633056135
0.952242.12745363998176.000962560855
0.962323.69878388844191.445693600996
0.972408.43786918975175.776254935593
0.982484.87789242507129.761358196211
0.992541.7024569385480.0915116134394

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1169.06580210137 & 25.3669382031343 \tabularnewline
0.02 & 1182.66079479708 & 23.3307576358295 \tabularnewline
0.03 & 1197.14843150114 & 25.5895800606437 \tabularnewline
0.04 & 1211.26068749145 & 28.7080114888265 \tabularnewline
0.05 & 1224.9056515529 & 30.7969388877639 \tabularnewline
0.06 & 1238.19060348009 & 32.4987901225885 \tabularnewline
0.07 & 1251.25012227493 & 34.8256690271114 \tabularnewline
0.08 & 1264.25672228704 & 37.8700552026174 \tabularnewline
0.09 & 1277.34171474986 & 40.9144968317575 \tabularnewline
0.1 & 1290.49709666473 & 43.0911123916742 \tabularnewline
0.11 & 1303.55325643288 & 43.8455623241047 \tabularnewline
0.12 & 1316.2391110714 & 43.0904171065222 \tabularnewline
0.13 & 1328.2766712035 & 41.1271922784003 \tabularnewline
0.14 & 1339.46051877218 & 38.4733760981381 \tabularnewline
0.15 & 1349.69694237175 & 35.6623552319184 \tabularnewline
0.16 & 1359.00254456461 & 33.111397157365 \tabularnewline
0.17 & 1367.47661459109 & 31.0583988817717 \tabularnewline
0.18 & 1375.26445272822 & 29.5870373462552 \tabularnewline
0.19 & 1382.52432611423 & 28.6772545971392 \tabularnewline
0.2 & 1389.40400671173 & 28.2474554769818 \tabularnewline
0.21 & 1396.02749884285 & 28.1841933613288 \tabularnewline
0.22 & 1402.48986902465 & 28.3710182171687 \tabularnewline
0.23 & 1408.85755323756 & 28.6884266643231 \tabularnewline
0.24 & 1415.17200574534 & 29.0471005510312 \tabularnewline
0.25 & 1421.45517001161 & 29.3824729021841 \tabularnewline
0.26 & 1427.71563787673 & 29.6722004070549 \tabularnewline
0.27 & 1433.95456618793 & 29.9094802469134 \tabularnewline
0.28 & 1440.17061213865 & 30.1108195952044 \tabularnewline
0.29 & 1446.36342459458 & 30.3005716736933 \tabularnewline
0.3 & 1452.53556184008 & 30.5041201331687 \tabularnewline
0.31 & 1458.69300718451 & 30.7386837991508 \tabularnewline
0.32 & 1464.84464816833 & 31.0176822722702 \tabularnewline
0.33 & 1471.00115176855 & 31.3446362270618 \tabularnewline
0.34 & 1477.17363270244 & 31.7182880425919 \tabularnewline
0.35 & 1483.37241762676 & 32.1296210876661 \tabularnewline
0.36 & 1489.60609037633 & 32.5636274355293 \tabularnewline
0.37 & 1495.88088367228 & 33.004523853906 \tabularnewline
0.38 & 1502.20037473697 & 33.4365365697326 \tabularnewline
0.39 & 1508.56536135489 & 33.8510690122131 \tabularnewline
0.4 & 1514.97376001096 & 34.2335193201037 \tabularnewline
0.41 & 1521.42039417508 & 34.5691831068084 \tabularnewline
0.42 & 1527.89662955269 & 34.8432418409856 \tabularnewline
0.43 & 1534.38994370633 & 35.0334693286159 \tabularnewline
0.44 & 1540.88364986479 & 35.1127917726758 \tabularnewline
0.45 & 1547.35708061014 & 35.0539883281794 \tabularnewline
0.46 & 1553.78653594023 & 34.8350085758829 \tabularnewline
0.47 & 1560.14719413807 & 34.4455548310716 \tabularnewline
0.48 & 1566.41598588787 & 33.8951658802608 \tabularnewline
0.49 & 1572.57518427774 & 33.2215159475738 \tabularnewline
0.5 & 1578.61622649362 & 32.4825616057283 \tabularnewline
0.51 & 1584.5431205784 & 31.7657818697233 \tabularnewline
0.52 & 1590.37475202438 & 31.1696219249666 \tabularnewline
0.53 & 1596.14551271865 & 30.8008685317578 \tabularnewline
0.54 & 1601.9039184441 & 30.7470057138549 \tabularnewline
0.55 & 1607.70921903906 & 31.0710795192618 \tabularnewline
0.56 & 1613.6263728101 & 31.7900961918316 \tabularnewline
0.57 & 1619.72007918943 & 32.8795102594375 \tabularnewline
0.58 & 1626.04877085499 & 34.2667052587631 \tabularnewline
0.59 & 1632.6595072571 & 35.8556048564607 \tabularnewline
0.6 & 1639.58456484267 & 37.5395472183337 \tabularnewline
0.61 & 1646.84020247234 & 39.211710633459 \tabularnewline
0.62 & 1654.42765072604 & 40.7853886709222 \tabularnewline
0.63 & 1662.33592191147 & 42.2050001873426 \tabularnewline
0.64 & 1670.54567264445 & 43.4409901475571 \tabularnewline
0.65 & 1679.03317488812 & 44.4942867779167 \tabularnewline
0.66 & 1687.7735286391 & 45.38282417941 \tabularnewline
0.67 & 1696.74257841882 & 46.1243653737196 \tabularnewline
0.68 & 1705.91749459021 & 46.7381064572714 \tabularnewline
0.69 & 1715.27649805006 & 47.2192108458468 \tabularnewline
0.7 & 1724.7985628543 & 47.5617191650646 \tabularnewline
0.71 & 1734.46398003169 & 47.7500153041308 \tabularnewline
0.72 & 1744.25636179336 & 47.7895865330758 \tabularnewline
0.73 & 1754.1661027142 & 47.704849939132 \tabularnewline
0.74 & 1764.19471273925 & 47.5592897717255 \tabularnewline
0.75 & 1774.35906366968 & 47.4442730698412 \tabularnewline
0.76 & 1784.69464117225 & 47.4590299532965 \tabularnewline
0.77 & 1795.25737526762 & 47.6982648701309 \tabularnewline
0.78 & 1806.12430362038 & 48.2395794568361 \tabularnewline
0.79 & 1817.39380005709 & 49.1364395978986 \tabularnewline
0.8 & 1829.18597329812 & 50.4385002972652 \tabularnewline
0.81 & 1841.64293535405 & 52.1984477078122 \tabularnewline
0.82 & 1854.92719751772 & 54.4757775910608 \tabularnewline
0.83 & 1869.21518926299 & 57.3099902189792 \tabularnewline
0.84 & 1884.68291524634 & 60.6683338974503 \tabularnewline
0.85 & 1901.48339536499 & 64.393713013278 \tabularnewline
0.86 & 1919.72211639475 & 68.1770310288577 \tabularnewline
0.87 & 1939.44815268064 & 71.5920466155984 \tabularnewline
0.88 & 1960.69385402013 & 74.2454955257586 \tabularnewline
0.89 & 1983.60851460802 & 76.0740782923708 \tabularnewline
0.9 & 2008.7236121284 & 77.8625496493073 \tabularnewline
0.91 & 2037.32793918628 & 81.9569198803164 \tabularnewline
0.92 & 2071.79082051701 & 92.559114072563 \tabularnewline
0.93 & 2115.47413923306 & 113.722038376496 \tabularnewline
0.94 & 2171.77399908509 & 144.618633056135 \tabularnewline
0.95 & 2242.12745363998 & 176.000962560855 \tabularnewline
0.96 & 2323.69878388844 & 191.445693600996 \tabularnewline
0.97 & 2408.43786918975 & 175.776254935593 \tabularnewline
0.98 & 2484.87789242507 & 129.761358196211 \tabularnewline
0.99 & 2541.70245693854 & 80.0915116134394 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108529&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]1169.06580210137[/C][C]25.3669382031343[/C][/ROW]
[ROW][C]0.02[/C][C]1182.66079479708[/C][C]23.3307576358295[/C][/ROW]
[ROW][C]0.03[/C][C]1197.14843150114[/C][C]25.5895800606437[/C][/ROW]
[ROW][C]0.04[/C][C]1211.26068749145[/C][C]28.7080114888265[/C][/ROW]
[ROW][C]0.05[/C][C]1224.9056515529[/C][C]30.7969388877639[/C][/ROW]
[ROW][C]0.06[/C][C]1238.19060348009[/C][C]32.4987901225885[/C][/ROW]
[ROW][C]0.07[/C][C]1251.25012227493[/C][C]34.8256690271114[/C][/ROW]
[ROW][C]0.08[/C][C]1264.25672228704[/C][C]37.8700552026174[/C][/ROW]
[ROW][C]0.09[/C][C]1277.34171474986[/C][C]40.9144968317575[/C][/ROW]
[ROW][C]0.1[/C][C]1290.49709666473[/C][C]43.0911123916742[/C][/ROW]
[ROW][C]0.11[/C][C]1303.55325643288[/C][C]43.8455623241047[/C][/ROW]
[ROW][C]0.12[/C][C]1316.2391110714[/C][C]43.0904171065222[/C][/ROW]
[ROW][C]0.13[/C][C]1328.2766712035[/C][C]41.1271922784003[/C][/ROW]
[ROW][C]0.14[/C][C]1339.46051877218[/C][C]38.4733760981381[/C][/ROW]
[ROW][C]0.15[/C][C]1349.69694237175[/C][C]35.6623552319184[/C][/ROW]
[ROW][C]0.16[/C][C]1359.00254456461[/C][C]33.111397157365[/C][/ROW]
[ROW][C]0.17[/C][C]1367.47661459109[/C][C]31.0583988817717[/C][/ROW]
[ROW][C]0.18[/C][C]1375.26445272822[/C][C]29.5870373462552[/C][/ROW]
[ROW][C]0.19[/C][C]1382.52432611423[/C][C]28.6772545971392[/C][/ROW]
[ROW][C]0.2[/C][C]1389.40400671173[/C][C]28.2474554769818[/C][/ROW]
[ROW][C]0.21[/C][C]1396.02749884285[/C][C]28.1841933613288[/C][/ROW]
[ROW][C]0.22[/C][C]1402.48986902465[/C][C]28.3710182171687[/C][/ROW]
[ROW][C]0.23[/C][C]1408.85755323756[/C][C]28.6884266643231[/C][/ROW]
[ROW][C]0.24[/C][C]1415.17200574534[/C][C]29.0471005510312[/C][/ROW]
[ROW][C]0.25[/C][C]1421.45517001161[/C][C]29.3824729021841[/C][/ROW]
[ROW][C]0.26[/C][C]1427.71563787673[/C][C]29.6722004070549[/C][/ROW]
[ROW][C]0.27[/C][C]1433.95456618793[/C][C]29.9094802469134[/C][/ROW]
[ROW][C]0.28[/C][C]1440.17061213865[/C][C]30.1108195952044[/C][/ROW]
[ROW][C]0.29[/C][C]1446.36342459458[/C][C]30.3005716736933[/C][/ROW]
[ROW][C]0.3[/C][C]1452.53556184008[/C][C]30.5041201331687[/C][/ROW]
[ROW][C]0.31[/C][C]1458.69300718451[/C][C]30.7386837991508[/C][/ROW]
[ROW][C]0.32[/C][C]1464.84464816833[/C][C]31.0176822722702[/C][/ROW]
[ROW][C]0.33[/C][C]1471.00115176855[/C][C]31.3446362270618[/C][/ROW]
[ROW][C]0.34[/C][C]1477.17363270244[/C][C]31.7182880425919[/C][/ROW]
[ROW][C]0.35[/C][C]1483.37241762676[/C][C]32.1296210876661[/C][/ROW]
[ROW][C]0.36[/C][C]1489.60609037633[/C][C]32.5636274355293[/C][/ROW]
[ROW][C]0.37[/C][C]1495.88088367228[/C][C]33.004523853906[/C][/ROW]
[ROW][C]0.38[/C][C]1502.20037473697[/C][C]33.4365365697326[/C][/ROW]
[ROW][C]0.39[/C][C]1508.56536135489[/C][C]33.8510690122131[/C][/ROW]
[ROW][C]0.4[/C][C]1514.97376001096[/C][C]34.2335193201037[/C][/ROW]
[ROW][C]0.41[/C][C]1521.42039417508[/C][C]34.5691831068084[/C][/ROW]
[ROW][C]0.42[/C][C]1527.89662955269[/C][C]34.8432418409856[/C][/ROW]
[ROW][C]0.43[/C][C]1534.38994370633[/C][C]35.0334693286159[/C][/ROW]
[ROW][C]0.44[/C][C]1540.88364986479[/C][C]35.1127917726758[/C][/ROW]
[ROW][C]0.45[/C][C]1547.35708061014[/C][C]35.0539883281794[/C][/ROW]
[ROW][C]0.46[/C][C]1553.78653594023[/C][C]34.8350085758829[/C][/ROW]
[ROW][C]0.47[/C][C]1560.14719413807[/C][C]34.4455548310716[/C][/ROW]
[ROW][C]0.48[/C][C]1566.41598588787[/C][C]33.8951658802608[/C][/ROW]
[ROW][C]0.49[/C][C]1572.57518427774[/C][C]33.2215159475738[/C][/ROW]
[ROW][C]0.5[/C][C]1578.61622649362[/C][C]32.4825616057283[/C][/ROW]
[ROW][C]0.51[/C][C]1584.5431205784[/C][C]31.7657818697233[/C][/ROW]
[ROW][C]0.52[/C][C]1590.37475202438[/C][C]31.1696219249666[/C][/ROW]
[ROW][C]0.53[/C][C]1596.14551271865[/C][C]30.8008685317578[/C][/ROW]
[ROW][C]0.54[/C][C]1601.9039184441[/C][C]30.7470057138549[/C][/ROW]
[ROW][C]0.55[/C][C]1607.70921903906[/C][C]31.0710795192618[/C][/ROW]
[ROW][C]0.56[/C][C]1613.6263728101[/C][C]31.7900961918316[/C][/ROW]
[ROW][C]0.57[/C][C]1619.72007918943[/C][C]32.8795102594375[/C][/ROW]
[ROW][C]0.58[/C][C]1626.04877085499[/C][C]34.2667052587631[/C][/ROW]
[ROW][C]0.59[/C][C]1632.6595072571[/C][C]35.8556048564607[/C][/ROW]
[ROW][C]0.6[/C][C]1639.58456484267[/C][C]37.5395472183337[/C][/ROW]
[ROW][C]0.61[/C][C]1646.84020247234[/C][C]39.211710633459[/C][/ROW]
[ROW][C]0.62[/C][C]1654.42765072604[/C][C]40.7853886709222[/C][/ROW]
[ROW][C]0.63[/C][C]1662.33592191147[/C][C]42.2050001873426[/C][/ROW]
[ROW][C]0.64[/C][C]1670.54567264445[/C][C]43.4409901475571[/C][/ROW]
[ROW][C]0.65[/C][C]1679.03317488812[/C][C]44.4942867779167[/C][/ROW]
[ROW][C]0.66[/C][C]1687.7735286391[/C][C]45.38282417941[/C][/ROW]
[ROW][C]0.67[/C][C]1696.74257841882[/C][C]46.1243653737196[/C][/ROW]
[ROW][C]0.68[/C][C]1705.91749459021[/C][C]46.7381064572714[/C][/ROW]
[ROW][C]0.69[/C][C]1715.27649805006[/C][C]47.2192108458468[/C][/ROW]
[ROW][C]0.7[/C][C]1724.7985628543[/C][C]47.5617191650646[/C][/ROW]
[ROW][C]0.71[/C][C]1734.46398003169[/C][C]47.7500153041308[/C][/ROW]
[ROW][C]0.72[/C][C]1744.25636179336[/C][C]47.7895865330758[/C][/ROW]
[ROW][C]0.73[/C][C]1754.1661027142[/C][C]47.704849939132[/C][/ROW]
[ROW][C]0.74[/C][C]1764.19471273925[/C][C]47.5592897717255[/C][/ROW]
[ROW][C]0.75[/C][C]1774.35906366968[/C][C]47.4442730698412[/C][/ROW]
[ROW][C]0.76[/C][C]1784.69464117225[/C][C]47.4590299532965[/C][/ROW]
[ROW][C]0.77[/C][C]1795.25737526762[/C][C]47.6982648701309[/C][/ROW]
[ROW][C]0.78[/C][C]1806.12430362038[/C][C]48.2395794568361[/C][/ROW]
[ROW][C]0.79[/C][C]1817.39380005709[/C][C]49.1364395978986[/C][/ROW]
[ROW][C]0.8[/C][C]1829.18597329812[/C][C]50.4385002972652[/C][/ROW]
[ROW][C]0.81[/C][C]1841.64293535405[/C][C]52.1984477078122[/C][/ROW]
[ROW][C]0.82[/C][C]1854.92719751772[/C][C]54.4757775910608[/C][/ROW]
[ROW][C]0.83[/C][C]1869.21518926299[/C][C]57.3099902189792[/C][/ROW]
[ROW][C]0.84[/C][C]1884.68291524634[/C][C]60.6683338974503[/C][/ROW]
[ROW][C]0.85[/C][C]1901.48339536499[/C][C]64.393713013278[/C][/ROW]
[ROW][C]0.86[/C][C]1919.72211639475[/C][C]68.1770310288577[/C][/ROW]
[ROW][C]0.87[/C][C]1939.44815268064[/C][C]71.5920466155984[/C][/ROW]
[ROW][C]0.88[/C][C]1960.69385402013[/C][C]74.2454955257586[/C][/ROW]
[ROW][C]0.89[/C][C]1983.60851460802[/C][C]76.0740782923708[/C][/ROW]
[ROW][C]0.9[/C][C]2008.7236121284[/C][C]77.8625496493073[/C][/ROW]
[ROW][C]0.91[/C][C]2037.32793918628[/C][C]81.9569198803164[/C][/ROW]
[ROW][C]0.92[/C][C]2071.79082051701[/C][C]92.559114072563[/C][/ROW]
[ROW][C]0.93[/C][C]2115.47413923306[/C][C]113.722038376496[/C][/ROW]
[ROW][C]0.94[/C][C]2171.77399908509[/C][C]144.618633056135[/C][/ROW]
[ROW][C]0.95[/C][C]2242.12745363998[/C][C]176.000962560855[/C][/ROW]
[ROW][C]0.96[/C][C]2323.69878388844[/C][C]191.445693600996[/C][/ROW]
[ROW][C]0.97[/C][C]2408.43786918975[/C][C]175.776254935593[/C][/ROW]
[ROW][C]0.98[/C][C]2484.87789242507[/C][C]129.761358196211[/C][/ROW]
[ROW][C]0.99[/C][C]2541.70245693854[/C][C]80.0915116134394[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108529&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108529&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
0.011169.0658021013725.3669382031343
0.021182.6607947970823.3307576358295
0.031197.1484315011425.5895800606437
0.041211.2606874914528.7080114888265
0.051224.905651552930.7969388877639
0.061238.1906034800932.4987901225885
0.071251.2501222749334.8256690271114
0.081264.2567222870437.8700552026174
0.091277.3417147498640.9144968317575
0.11290.4970966647343.0911123916742
0.111303.5532564328843.8455623241047
0.121316.239111071443.0904171065222
0.131328.276671203541.1271922784003
0.141339.4605187721838.4733760981381
0.151349.6969423717535.6623552319184
0.161359.0025445646133.111397157365
0.171367.4766145910931.0583988817717
0.181375.2644527282229.5870373462552
0.191382.5243261142328.6772545971392
0.21389.4040067117328.2474554769818
0.211396.0274988428528.1841933613288
0.221402.4898690246528.3710182171687
0.231408.8575532375628.6884266643231
0.241415.1720057453429.0471005510312
0.251421.4551700116129.3824729021841
0.261427.7156378767329.6722004070549
0.271433.9545661879329.9094802469134
0.281440.1706121386530.1108195952044
0.291446.3634245945830.3005716736933
0.31452.5355618400830.5041201331687
0.311458.6930071845130.7386837991508
0.321464.8446481683331.0176822722702
0.331471.0011517685531.3446362270618
0.341477.1736327024431.7182880425919
0.351483.3724176267632.1296210876661
0.361489.6060903763332.5636274355293
0.371495.8808836722833.004523853906
0.381502.2003747369733.4365365697326
0.391508.5653613548933.8510690122131
0.41514.9737600109634.2335193201037
0.411521.4203941750834.5691831068084
0.421527.8966295526934.8432418409856
0.431534.3899437063335.0334693286159
0.441540.8836498647935.1127917726758
0.451547.3570806101435.0539883281794
0.461553.7865359402334.8350085758829
0.471560.1471941380734.4455548310716
0.481566.4159858878733.8951658802608
0.491572.5751842777433.2215159475738
0.51578.6162264936232.4825616057283
0.511584.543120578431.7657818697233
0.521590.3747520243831.1696219249666
0.531596.1455127186530.8008685317578
0.541601.903918444130.7470057138549
0.551607.7092190390631.0710795192618
0.561613.626372810131.7900961918316
0.571619.7200791894332.8795102594375
0.581626.0487708549934.2667052587631
0.591632.659507257135.8556048564607
0.61639.5845648426737.5395472183337
0.611646.8402024723439.211710633459
0.621654.4276507260440.7853886709222
0.631662.3359219114742.2050001873426
0.641670.5456726444543.4409901475571
0.651679.0331748881244.4942867779167
0.661687.773528639145.38282417941
0.671696.7425784188246.1243653737196
0.681705.9174945902146.7381064572714
0.691715.2764980500647.2192108458468
0.71724.798562854347.5617191650646
0.711734.4639800316947.7500153041308
0.721744.2563617933647.7895865330758
0.731754.166102714247.704849939132
0.741764.1947127392547.5592897717255
0.751774.3590636696847.4442730698412
0.761784.6946411722547.4590299532965
0.771795.2573752676247.6982648701309
0.781806.1243036203848.2395794568361
0.791817.3938000570949.1364395978986
0.81829.1859732981250.4385002972652
0.811841.6429353540552.1984477078122
0.821854.9271975177254.4757775910608
0.831869.2151892629957.3099902189792
0.841884.6829152463460.6683338974503
0.851901.4833953649964.393713013278
0.861919.7221163947568.1770310288577
0.871939.4481526806471.5920466155984
0.881960.6938540201374.2454955257586
0.891983.6085146080276.0740782923708
0.92008.723612128477.8625496493073
0.912037.3279391862881.9569198803164
0.922071.7908205170192.559114072563
0.932115.47413923306113.722038376496
0.942171.77399908509144.618633056135
0.952242.12745363998176.000962560855
0.962323.69878388844191.445693600996
0.972408.43786918975175.776254935593
0.982484.87789242507129.761358196211
0.992541.7024569385480.0915116134394


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')