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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, 16 Feb 2014 17:19:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t1392589215gxltmpn7pw4871f.htm/, Retrieved Wed, 15 May 2024 11:42:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233878, Retrieved Wed, 15 May 2024 11:42:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2014-02-16 22:10:35] [967af62594a7ddaeafac2725d7422db7]
- R P     [Harrell-Davis Quantiles] [] [2014-02-16 22:19:38] [a051cf513b3103c0fd2487dcb9eab576] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1516
1289
1428
1335
1402
1475
1582
1317
1450
1497
1556
981
1807
1573
1756
1708
1737
1679
1872
1598
1747
1882
1369
865
1432
1172
1268
1120
1235
1272
1360
1069
1434
1552
1584
1070
1676
1690
1643
1446
1566
1352
1805
1613
1824
1866
1774
1505
1972
1856
2037
1888
2167
2191
2036
2103
2131
2039
1983
1629
2032
2216
2141
2073
2145
2429
2157
1994
2116
2287
2162
1699

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233878&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233878&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01901.446314123185103.258282125093
0.02954.35699188143688.8458229433426
0.031005.9123172360277.0221493222833
0.041049.4358186810771.1315437965916
0.051085.883699069771.6492720076045
0.061118.0679309416375.2557121788216
0.071147.9029610819778.0062312671168
0.081176.0164973648577.8713003013302
0.091202.2614230866174.7812632589688
0.11226.2962427069469.7945277240703
0.111247.9369673301964.267560712126
0.121267.2620605614859.2887199967023
0.131284.5600628172155.4327517613511
0.141300.2199449643452.7934246323388
0.151314.6314226980251.1567326214238
0.161328.123278596350.2153706837945
0.171340.940167347649.6864207132998
0.181353.2459297371249.3523068312364
0.191365.1401058261549.0620935261891
0.21376.6782137717248.7224255963955
0.211387.8908563469948.3020084369577
0.221398.7996302109347.8261548229564
0.231409.4289651354147.3733297211051
0.241419.8132516617947.0486914014036
0.251429.9988251987146.9552476459735
0.261440.0409911180547.1502684036491
0.271449.9972005808747.6325869638807
0.281459.9183338585348.3306014276046
0.291469.8404426589749.1242518183094
0.31479.7790816615749.8734844217079
0.311489.7276090507550.441083292816
0.321499.6598129242750.729275149249
0.331509.536224069850.6929798742532
0.341519.3127408635950.3397030737438
0.351528.9498383042249.7339259727175
0.361538.4206658517648.9784609996606
0.371547.7166832008148.2094532810825
0.381556.8500261049947.5600393759929
0.391565.8524162053347.1546306136091
0.41574.7710218088147.0727713173878
0.411583.6621531542647.3464812794766
0.421592.5839724687847.9598025991521
0.431601.5894807974948.8430082268685
0.441610.7209074721649.9023435047614
0.451620.0063062570351.0321951210722
0.461629.4587185071752.1351015288358
0.471639.0777836606653.13438769169
0.481648.853252320153.9906724727295
0.491658.7695653373554.6927956394187
0.51668.8105524417655.2647387989844
0.511678.9633853686855.7504094473094
0.521689.2211626127556.2013992094444
0.531699.5838445656.6655006895045
0.541710.0576226854957.17537084678
0.551720.6531216242357.7524027338893
0.561731.3830429145858.3929128992428
0.571742.2599344226459.0771395919286
0.581753.2947059033859.7842048451272
0.591764.4963248536960.4851132275313
0.61775.87284661261.1726593749651
0.611787.4335958763661.8450246354626
0.621799.1919696248162.5355513141453
0.631811.1680323013763.2873303757422
0.641823.3898950737664.1629788209206
0.651835.8928901400165.2141649019344
0.661848.715832843166.4756946144978
0.671861.8942288149967.9326807261533
0.681875.4510746508169.5045564719987
0.691889.3867692548171.0428792643485
0.71903.6703674167872.3434929970167
0.711918.2347020743773.1808466921742
0.721932.9775579865773.3421802470503
0.731947.7700151378972.6819622594146
0.741962.4714209565871.1620766137125
0.751976.9485489413568.8579688474561
0.761991.0948823259665.9681870662523
0.772004.8451928658662.7751614537325
0.782018.1810980626759.5870043112018
0.792031.1251878577456.6612995747673
0.82043.724287851454.1397220555632
0.812056.0257115212551.9921384973241
0.822068.0529293783350.0380565881631
0.832079.7879936413548.0048280726342
0.842091.1668024329445.6236208237563
0.852102.0901224656842.7242916270561
0.862112.449261948939.2869036955676
0.872122.161911068335.4602941805974
0.882131.2123044444931.5403750827657
0.892139.6910849171327.9282922999469
0.92147.8336710343725.0964712542847
0.912156.0607850741123.5683175048137
0.922165.0311688743923.8832702057151
0.932175.7262135420726.5326945314831
0.942189.5995550675931.953434448805
0.952208.8187839725240.6567762791604
0.962236.4862113471853.2951985058324
0.972276.1704774415470.6562177764633
0.982329.0370468356893.465484616664
0.992387.20806967041119.818179581668

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 901.446314123185 & 103.258282125093 \tabularnewline
0.02 & 954.356991881436 & 88.8458229433426 \tabularnewline
0.03 & 1005.91231723602 & 77.0221493222833 \tabularnewline
0.04 & 1049.43581868107 & 71.1315437965916 \tabularnewline
0.05 & 1085.8836990697 & 71.6492720076045 \tabularnewline
0.06 & 1118.06793094163 & 75.2557121788216 \tabularnewline
0.07 & 1147.90296108197 & 78.0062312671168 \tabularnewline
0.08 & 1176.01649736485 & 77.8713003013302 \tabularnewline
0.09 & 1202.26142308661 & 74.7812632589688 \tabularnewline
0.1 & 1226.29624270694 & 69.7945277240703 \tabularnewline
0.11 & 1247.93696733019 & 64.267560712126 \tabularnewline
0.12 & 1267.26206056148 & 59.2887199967023 \tabularnewline
0.13 & 1284.56006281721 & 55.4327517613511 \tabularnewline
0.14 & 1300.21994496434 & 52.7934246323388 \tabularnewline
0.15 & 1314.63142269802 & 51.1567326214238 \tabularnewline
0.16 & 1328.1232785963 & 50.2153706837945 \tabularnewline
0.17 & 1340.9401673476 & 49.6864207132998 \tabularnewline
0.18 & 1353.24592973712 & 49.3523068312364 \tabularnewline
0.19 & 1365.14010582615 & 49.0620935261891 \tabularnewline
0.2 & 1376.67821377172 & 48.7224255963955 \tabularnewline
0.21 & 1387.89085634699 & 48.3020084369577 \tabularnewline
0.22 & 1398.79963021093 & 47.8261548229564 \tabularnewline
0.23 & 1409.42896513541 & 47.3733297211051 \tabularnewline
0.24 & 1419.81325166179 & 47.0486914014036 \tabularnewline
0.25 & 1429.99882519871 & 46.9552476459735 \tabularnewline
0.26 & 1440.04099111805 & 47.1502684036491 \tabularnewline
0.27 & 1449.99720058087 & 47.6325869638807 \tabularnewline
0.28 & 1459.91833385853 & 48.3306014276046 \tabularnewline
0.29 & 1469.84044265897 & 49.1242518183094 \tabularnewline
0.3 & 1479.77908166157 & 49.8734844217079 \tabularnewline
0.31 & 1489.72760905075 & 50.441083292816 \tabularnewline
0.32 & 1499.65981292427 & 50.729275149249 \tabularnewline
0.33 & 1509.5362240698 & 50.6929798742532 \tabularnewline
0.34 & 1519.31274086359 & 50.3397030737438 \tabularnewline
0.35 & 1528.94983830422 & 49.7339259727175 \tabularnewline
0.36 & 1538.42066585176 & 48.9784609996606 \tabularnewline
0.37 & 1547.71668320081 & 48.2094532810825 \tabularnewline
0.38 & 1556.85002610499 & 47.5600393759929 \tabularnewline
0.39 & 1565.85241620533 & 47.1546306136091 \tabularnewline
0.4 & 1574.77102180881 & 47.0727713173878 \tabularnewline
0.41 & 1583.66215315426 & 47.3464812794766 \tabularnewline
0.42 & 1592.58397246878 & 47.9598025991521 \tabularnewline
0.43 & 1601.58948079749 & 48.8430082268685 \tabularnewline
0.44 & 1610.72090747216 & 49.9023435047614 \tabularnewline
0.45 & 1620.00630625703 & 51.0321951210722 \tabularnewline
0.46 & 1629.45871850717 & 52.1351015288358 \tabularnewline
0.47 & 1639.07778366066 & 53.13438769169 \tabularnewline
0.48 & 1648.8532523201 & 53.9906724727295 \tabularnewline
0.49 & 1658.76956533735 & 54.6927956394187 \tabularnewline
0.5 & 1668.81055244176 & 55.2647387989844 \tabularnewline
0.51 & 1678.96338536868 & 55.7504094473094 \tabularnewline
0.52 & 1689.22116261275 & 56.2013992094444 \tabularnewline
0.53 & 1699.58384456 & 56.6655006895045 \tabularnewline
0.54 & 1710.05762268549 & 57.17537084678 \tabularnewline
0.55 & 1720.65312162423 & 57.7524027338893 \tabularnewline
0.56 & 1731.38304291458 & 58.3929128992428 \tabularnewline
0.57 & 1742.25993442264 & 59.0771395919286 \tabularnewline
0.58 & 1753.29470590338 & 59.7842048451272 \tabularnewline
0.59 & 1764.49632485369 & 60.4851132275313 \tabularnewline
0.6 & 1775.872846612 & 61.1726593749651 \tabularnewline
0.61 & 1787.43359587636 & 61.8450246354626 \tabularnewline
0.62 & 1799.19196962481 & 62.5355513141453 \tabularnewline
0.63 & 1811.16803230137 & 63.2873303757422 \tabularnewline
0.64 & 1823.38989507376 & 64.1629788209206 \tabularnewline
0.65 & 1835.89289014001 & 65.2141649019344 \tabularnewline
0.66 & 1848.7158328431 & 66.4756946144978 \tabularnewline
0.67 & 1861.89422881499 & 67.9326807261533 \tabularnewline
0.68 & 1875.45107465081 & 69.5045564719987 \tabularnewline
0.69 & 1889.38676925481 & 71.0428792643485 \tabularnewline
0.7 & 1903.67036741678 & 72.3434929970167 \tabularnewline
0.71 & 1918.23470207437 & 73.1808466921742 \tabularnewline
0.72 & 1932.97755798657 & 73.3421802470503 \tabularnewline
0.73 & 1947.77001513789 & 72.6819622594146 \tabularnewline
0.74 & 1962.47142095658 & 71.1620766137125 \tabularnewline
0.75 & 1976.94854894135 & 68.8579688474561 \tabularnewline
0.76 & 1991.09488232596 & 65.9681870662523 \tabularnewline
0.77 & 2004.84519286586 & 62.7751614537325 \tabularnewline
0.78 & 2018.18109806267 & 59.5870043112018 \tabularnewline
0.79 & 2031.12518785774 & 56.6612995747673 \tabularnewline
0.8 & 2043.7242878514 & 54.1397220555632 \tabularnewline
0.81 & 2056.02571152125 & 51.9921384973241 \tabularnewline
0.82 & 2068.05292937833 & 50.0380565881631 \tabularnewline
0.83 & 2079.78799364135 & 48.0048280726342 \tabularnewline
0.84 & 2091.16680243294 & 45.6236208237563 \tabularnewline
0.85 & 2102.09012246568 & 42.7242916270561 \tabularnewline
0.86 & 2112.4492619489 & 39.2869036955676 \tabularnewline
0.87 & 2122.1619110683 & 35.4602941805974 \tabularnewline
0.88 & 2131.21230444449 & 31.5403750827657 \tabularnewline
0.89 & 2139.69108491713 & 27.9282922999469 \tabularnewline
0.9 & 2147.83367103437 & 25.0964712542847 \tabularnewline
0.91 & 2156.06078507411 & 23.5683175048137 \tabularnewline
0.92 & 2165.03116887439 & 23.8832702057151 \tabularnewline
0.93 & 2175.72621354207 & 26.5326945314831 \tabularnewline
0.94 & 2189.59955506759 & 31.953434448805 \tabularnewline
0.95 & 2208.81878397252 & 40.6567762791604 \tabularnewline
0.96 & 2236.48621134718 & 53.2951985058324 \tabularnewline
0.97 & 2276.17047744154 & 70.6562177764633 \tabularnewline
0.98 & 2329.03704683568 & 93.465484616664 \tabularnewline
0.99 & 2387.20806967041 & 119.818179581668 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233878&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]901.446314123185[/C][C]103.258282125093[/C][/ROW]
[ROW][C]0.02[/C][C]954.356991881436[/C][C]88.8458229433426[/C][/ROW]
[ROW][C]0.03[/C][C]1005.91231723602[/C][C]77.0221493222833[/C][/ROW]
[ROW][C]0.04[/C][C]1049.43581868107[/C][C]71.1315437965916[/C][/ROW]
[ROW][C]0.05[/C][C]1085.8836990697[/C][C]71.6492720076045[/C][/ROW]
[ROW][C]0.06[/C][C]1118.06793094163[/C][C]75.2557121788216[/C][/ROW]
[ROW][C]0.07[/C][C]1147.90296108197[/C][C]78.0062312671168[/C][/ROW]
[ROW][C]0.08[/C][C]1176.01649736485[/C][C]77.8713003013302[/C][/ROW]
[ROW][C]0.09[/C][C]1202.26142308661[/C][C]74.7812632589688[/C][/ROW]
[ROW][C]0.1[/C][C]1226.29624270694[/C][C]69.7945277240703[/C][/ROW]
[ROW][C]0.11[/C][C]1247.93696733019[/C][C]64.267560712126[/C][/ROW]
[ROW][C]0.12[/C][C]1267.26206056148[/C][C]59.2887199967023[/C][/ROW]
[ROW][C]0.13[/C][C]1284.56006281721[/C][C]55.4327517613511[/C][/ROW]
[ROW][C]0.14[/C][C]1300.21994496434[/C][C]52.7934246323388[/C][/ROW]
[ROW][C]0.15[/C][C]1314.63142269802[/C][C]51.1567326214238[/C][/ROW]
[ROW][C]0.16[/C][C]1328.1232785963[/C][C]50.2153706837945[/C][/ROW]
[ROW][C]0.17[/C][C]1340.9401673476[/C][C]49.6864207132998[/C][/ROW]
[ROW][C]0.18[/C][C]1353.24592973712[/C][C]49.3523068312364[/C][/ROW]
[ROW][C]0.19[/C][C]1365.14010582615[/C][C]49.0620935261891[/C][/ROW]
[ROW][C]0.2[/C][C]1376.67821377172[/C][C]48.7224255963955[/C][/ROW]
[ROW][C]0.21[/C][C]1387.89085634699[/C][C]48.3020084369577[/C][/ROW]
[ROW][C]0.22[/C][C]1398.79963021093[/C][C]47.8261548229564[/C][/ROW]
[ROW][C]0.23[/C][C]1409.42896513541[/C][C]47.3733297211051[/C][/ROW]
[ROW][C]0.24[/C][C]1419.81325166179[/C][C]47.0486914014036[/C][/ROW]
[ROW][C]0.25[/C][C]1429.99882519871[/C][C]46.9552476459735[/C][/ROW]
[ROW][C]0.26[/C][C]1440.04099111805[/C][C]47.1502684036491[/C][/ROW]
[ROW][C]0.27[/C][C]1449.99720058087[/C][C]47.6325869638807[/C][/ROW]
[ROW][C]0.28[/C][C]1459.91833385853[/C][C]48.3306014276046[/C][/ROW]
[ROW][C]0.29[/C][C]1469.84044265897[/C][C]49.1242518183094[/C][/ROW]
[ROW][C]0.3[/C][C]1479.77908166157[/C][C]49.8734844217079[/C][/ROW]
[ROW][C]0.31[/C][C]1489.72760905075[/C][C]50.441083292816[/C][/ROW]
[ROW][C]0.32[/C][C]1499.65981292427[/C][C]50.729275149249[/C][/ROW]
[ROW][C]0.33[/C][C]1509.5362240698[/C][C]50.6929798742532[/C][/ROW]
[ROW][C]0.34[/C][C]1519.31274086359[/C][C]50.3397030737438[/C][/ROW]
[ROW][C]0.35[/C][C]1528.94983830422[/C][C]49.7339259727175[/C][/ROW]
[ROW][C]0.36[/C][C]1538.42066585176[/C][C]48.9784609996606[/C][/ROW]
[ROW][C]0.37[/C][C]1547.71668320081[/C][C]48.2094532810825[/C][/ROW]
[ROW][C]0.38[/C][C]1556.85002610499[/C][C]47.5600393759929[/C][/ROW]
[ROW][C]0.39[/C][C]1565.85241620533[/C][C]47.1546306136091[/C][/ROW]
[ROW][C]0.4[/C][C]1574.77102180881[/C][C]47.0727713173878[/C][/ROW]
[ROW][C]0.41[/C][C]1583.66215315426[/C][C]47.3464812794766[/C][/ROW]
[ROW][C]0.42[/C][C]1592.58397246878[/C][C]47.9598025991521[/C][/ROW]
[ROW][C]0.43[/C][C]1601.58948079749[/C][C]48.8430082268685[/C][/ROW]
[ROW][C]0.44[/C][C]1610.72090747216[/C][C]49.9023435047614[/C][/ROW]
[ROW][C]0.45[/C][C]1620.00630625703[/C][C]51.0321951210722[/C][/ROW]
[ROW][C]0.46[/C][C]1629.45871850717[/C][C]52.1351015288358[/C][/ROW]
[ROW][C]0.47[/C][C]1639.07778366066[/C][C]53.13438769169[/C][/ROW]
[ROW][C]0.48[/C][C]1648.8532523201[/C][C]53.9906724727295[/C][/ROW]
[ROW][C]0.49[/C][C]1658.76956533735[/C][C]54.6927956394187[/C][/ROW]
[ROW][C]0.5[/C][C]1668.81055244176[/C][C]55.2647387989844[/C][/ROW]
[ROW][C]0.51[/C][C]1678.96338536868[/C][C]55.7504094473094[/C][/ROW]
[ROW][C]0.52[/C][C]1689.22116261275[/C][C]56.2013992094444[/C][/ROW]
[ROW][C]0.53[/C][C]1699.58384456[/C][C]56.6655006895045[/C][/ROW]
[ROW][C]0.54[/C][C]1710.05762268549[/C][C]57.17537084678[/C][/ROW]
[ROW][C]0.55[/C][C]1720.65312162423[/C][C]57.7524027338893[/C][/ROW]
[ROW][C]0.56[/C][C]1731.38304291458[/C][C]58.3929128992428[/C][/ROW]
[ROW][C]0.57[/C][C]1742.25993442264[/C][C]59.0771395919286[/C][/ROW]
[ROW][C]0.58[/C][C]1753.29470590338[/C][C]59.7842048451272[/C][/ROW]
[ROW][C]0.59[/C][C]1764.49632485369[/C][C]60.4851132275313[/C][/ROW]
[ROW][C]0.6[/C][C]1775.872846612[/C][C]61.1726593749651[/C][/ROW]
[ROW][C]0.61[/C][C]1787.43359587636[/C][C]61.8450246354626[/C][/ROW]
[ROW][C]0.62[/C][C]1799.19196962481[/C][C]62.5355513141453[/C][/ROW]
[ROW][C]0.63[/C][C]1811.16803230137[/C][C]63.2873303757422[/C][/ROW]
[ROW][C]0.64[/C][C]1823.38989507376[/C][C]64.1629788209206[/C][/ROW]
[ROW][C]0.65[/C][C]1835.89289014001[/C][C]65.2141649019344[/C][/ROW]
[ROW][C]0.66[/C][C]1848.7158328431[/C][C]66.4756946144978[/C][/ROW]
[ROW][C]0.67[/C][C]1861.89422881499[/C][C]67.9326807261533[/C][/ROW]
[ROW][C]0.68[/C][C]1875.45107465081[/C][C]69.5045564719987[/C][/ROW]
[ROW][C]0.69[/C][C]1889.38676925481[/C][C]71.0428792643485[/C][/ROW]
[ROW][C]0.7[/C][C]1903.67036741678[/C][C]72.3434929970167[/C][/ROW]
[ROW][C]0.71[/C][C]1918.23470207437[/C][C]73.1808466921742[/C][/ROW]
[ROW][C]0.72[/C][C]1932.97755798657[/C][C]73.3421802470503[/C][/ROW]
[ROW][C]0.73[/C][C]1947.77001513789[/C][C]72.6819622594146[/C][/ROW]
[ROW][C]0.74[/C][C]1962.47142095658[/C][C]71.1620766137125[/C][/ROW]
[ROW][C]0.75[/C][C]1976.94854894135[/C][C]68.8579688474561[/C][/ROW]
[ROW][C]0.76[/C][C]1991.09488232596[/C][C]65.9681870662523[/C][/ROW]
[ROW][C]0.77[/C][C]2004.84519286586[/C][C]62.7751614537325[/C][/ROW]
[ROW][C]0.78[/C][C]2018.18109806267[/C][C]59.5870043112018[/C][/ROW]
[ROW][C]0.79[/C][C]2031.12518785774[/C][C]56.6612995747673[/C][/ROW]
[ROW][C]0.8[/C][C]2043.7242878514[/C][C]54.1397220555632[/C][/ROW]
[ROW][C]0.81[/C][C]2056.02571152125[/C][C]51.9921384973241[/C][/ROW]
[ROW][C]0.82[/C][C]2068.05292937833[/C][C]50.0380565881631[/C][/ROW]
[ROW][C]0.83[/C][C]2079.78799364135[/C][C]48.0048280726342[/C][/ROW]
[ROW][C]0.84[/C][C]2091.16680243294[/C][C]45.6236208237563[/C][/ROW]
[ROW][C]0.85[/C][C]2102.09012246568[/C][C]42.7242916270561[/C][/ROW]
[ROW][C]0.86[/C][C]2112.4492619489[/C][C]39.2869036955676[/C][/ROW]
[ROW][C]0.87[/C][C]2122.1619110683[/C][C]35.4602941805974[/C][/ROW]
[ROW][C]0.88[/C][C]2131.21230444449[/C][C]31.5403750827657[/C][/ROW]
[ROW][C]0.89[/C][C]2139.69108491713[/C][C]27.9282922999469[/C][/ROW]
[ROW][C]0.9[/C][C]2147.83367103437[/C][C]25.0964712542847[/C][/ROW]
[ROW][C]0.91[/C][C]2156.06078507411[/C][C]23.5683175048137[/C][/ROW]
[ROW][C]0.92[/C][C]2165.03116887439[/C][C]23.8832702057151[/C][/ROW]
[ROW][C]0.93[/C][C]2175.72621354207[/C][C]26.5326945314831[/C][/ROW]
[ROW][C]0.94[/C][C]2189.59955506759[/C][C]31.953434448805[/C][/ROW]
[ROW][C]0.95[/C][C]2208.81878397252[/C][C]40.6567762791604[/C][/ROW]
[ROW][C]0.96[/C][C]2236.48621134718[/C][C]53.2951985058324[/C][/ROW]
[ROW][C]0.97[/C][C]2276.17047744154[/C][C]70.6562177764633[/C][/ROW]
[ROW][C]0.98[/C][C]2329.03704683568[/C][C]93.465484616664[/C][/ROW]
[ROW][C]0.99[/C][C]2387.20806967041[/C][C]119.818179581668[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233878&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
0.01901.446314123185103.258282125093
0.02954.35699188143688.8458229433426
0.031005.9123172360277.0221493222833
0.041049.4358186810771.1315437965916
0.051085.883699069771.6492720076045
0.061118.0679309416375.2557121788216
0.071147.9029610819778.0062312671168
0.081176.0164973648577.8713003013302
0.091202.2614230866174.7812632589688
0.11226.2962427069469.7945277240703
0.111247.9369673301964.267560712126
0.121267.2620605614859.2887199967023
0.131284.5600628172155.4327517613511
0.141300.2199449643452.7934246323388
0.151314.6314226980251.1567326214238
0.161328.123278596350.2153706837945
0.171340.940167347649.6864207132998
0.181353.2459297371249.3523068312364
0.191365.1401058261549.0620935261891
0.21376.6782137717248.7224255963955
0.211387.8908563469948.3020084369577
0.221398.7996302109347.8261548229564
0.231409.4289651354147.3733297211051
0.241419.8132516617947.0486914014036
0.251429.9988251987146.9552476459735
0.261440.0409911180547.1502684036491
0.271449.9972005808747.6325869638807
0.281459.9183338585348.3306014276046
0.291469.8404426589749.1242518183094
0.31479.7790816615749.8734844217079
0.311489.7276090507550.441083292816
0.321499.6598129242750.729275149249
0.331509.536224069850.6929798742532
0.341519.3127408635950.3397030737438
0.351528.9498383042249.7339259727175
0.361538.4206658517648.9784609996606
0.371547.7166832008148.2094532810825
0.381556.8500261049947.5600393759929
0.391565.8524162053347.1546306136091
0.41574.7710218088147.0727713173878
0.411583.6621531542647.3464812794766
0.421592.5839724687847.9598025991521
0.431601.5894807974948.8430082268685
0.441610.7209074721649.9023435047614
0.451620.0063062570351.0321951210722
0.461629.4587185071752.1351015288358
0.471639.0777836606653.13438769169
0.481648.853252320153.9906724727295
0.491658.7695653373554.6927956394187
0.51668.8105524417655.2647387989844
0.511678.9633853686855.7504094473094
0.521689.2211626127556.2013992094444
0.531699.5838445656.6655006895045
0.541710.0576226854957.17537084678
0.551720.6531216242357.7524027338893
0.561731.3830429145858.3929128992428
0.571742.2599344226459.0771395919286
0.581753.2947059033859.7842048451272
0.591764.4963248536960.4851132275313
0.61775.87284661261.1726593749651
0.611787.4335958763661.8450246354626
0.621799.1919696248162.5355513141453
0.631811.1680323013763.2873303757422
0.641823.3898950737664.1629788209206
0.651835.8928901400165.2141649019344
0.661848.715832843166.4756946144978
0.671861.8942288149967.9326807261533
0.681875.4510746508169.5045564719987
0.691889.3867692548171.0428792643485
0.71903.6703674167872.3434929970167
0.711918.2347020743773.1808466921742
0.721932.9775579865773.3421802470503
0.731947.7700151378972.6819622594146
0.741962.4714209565871.1620766137125
0.751976.9485489413568.8579688474561
0.761991.0948823259665.9681870662523
0.772004.8451928658662.7751614537325
0.782018.1810980626759.5870043112018
0.792031.1251878577456.6612995747673
0.82043.724287851454.1397220555632
0.812056.0257115212551.9921384973241
0.822068.0529293783350.0380565881631
0.832079.7879936413548.0048280726342
0.842091.1668024329445.6236208237563
0.852102.0901224656842.7242916270561
0.862112.449261948939.2869036955676
0.872122.161911068335.4602941805974
0.882131.2123044444931.5403750827657
0.892139.6910849171327.9282922999469
0.92147.8336710343725.0964712542847
0.912156.0607850741123.5683175048137
0.922165.0311688743923.8832702057151
0.932175.7262135420726.5326945314831
0.942189.5995550675931.953434448805
0.952208.8187839725240.6567762791604
0.962236.4862113471853.2951985058324
0.972276.1704774415470.6562177764633
0.982329.0370468356893.465484616664
0.992387.20806967041119.818179581668


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')