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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 computationTue, 16 Aug 2016 09:49:02 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/16/t1471337396smup8bh4pcgpb22.htm/, Retrieved Sat, 04 May 2024 21:40:57 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 21:40:57 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14724.00
14404.00
14058.00
13427.00
19946.00
19631.00
14724.00
11462.00
11778.00
11778.00
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13427.00
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20929.00
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17666.00
14724.00
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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'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111523.7983689816130.704430199704
0.0211660.3799984892202.368074871494
0.0311834.4401500008287.236875163583
0.0412051.7706687433455.102655335853
0.0512334.1692204427638.965614644602
0.0612677.2432558562772.805277012741
0.0713053.5868682271836.19675437775
0.0813434.0815940608849.746515932983
0.0913801.9409991132849.119980747044
0.114154.8371344997862.936280383209
0.1114500.2022738213906.213638474158
0.1214849.2850581338981.685493340377
0.1315212.58058437031082.01508204244
0.1415597.07348301921193.52223246845
0.1516005.1761371061301.83329409726
0.1616435.2061607431396.74034671497
0.1716883.0127628981474.80933670975
0.1817344.07994759271539.45978567861
0.1917815.3888676091599.39169127261
0.218296.50644922181665.60835369046
0.2118789.63223643851747.59752333535
0.2219298.6044170571848.82830081924
0.2319827.14506510981964.12316106518
0.2420376.88775756642079.7595811497
0.2520945.86995370652177.1269003924
0.2621528.06936905992238.81041552452
0.2722114.20370770552254.05731094456
0.2822693.53380826392221.78379162929
0.2923256.03484644672150.48136264976
0.323794.20636902272054.65775137642
0.3124304.00752065031950.54408362883
0.3224784.79868843461851.11053306633
0.3325238.54157309111764.37758630522
0.3425668.69617162691692.95124614188
0.3526079.21375766231636.04103962688
0.3626473.83568737451591.3076160082
0.3726855.69948306771556.25204083697
0.3827227.13320174311527.9567178034
0.3927589.52067289181502.6002905507
0.427943.2041113041475.55983469569
0.4128287.48084300491441.98625244613
0.4228620.78323302161397.99219881142
0.4328941.08533392181342.23312176421
0.4429246.48393525361276.53305696446
0.4529535.8096645491205.81397144945
0.4629809.08511642411136.86651092528
0.4730067.68263867791076.77278692911
0.4830314.12971946251030.8031067346
0.4930551.62483649841000.90946927964
0.530783.4157203217985.564931627033
0.5131012.2239297159980.583635153178
0.5231239.868048313980.510354332872
0.5331467.1604820633980.467485838893
0.5431694.061776013977.117874494246
0.5531920.0040464417969.201665132236
0.5632144.2627157497957.253452845677
0.5732366.2672699363942.908448865309
0.5832585.7852894961928.191766736866
0.5932802.9683558715914.867933854001
0.633018.2923429918904.108028208891
0.6133232.4447100412896.426140416568
0.6233446.2063052368891.789171288332
0.6333660.3543076358889.981265469538
0.6433875.5910560021890.469710825573
0.6534092.4931844612892.782089696607
0.6634311.4805760273896.015859675033
0.6734532.8181731148899.348427792998
0.6834756.6715563721902.206271221293
0.6934983.2268383332904.705332433681
0.735212.8550074787907.675732308868
0.7135446.2634157709912.864877787244
0.7235684.5553716653922.264484681444
0.7335929.1324659142937.136229564791
0.7436181.426631988956.983482686512
0.7536442.5218343728979.625348523773
0.7636712.7861173751001.23014652452
0.7736991.65220686771017.52668356014
0.7837277.64410876071025.13338036946
0.7937568.6573975951022.27246850588
0.837862.39374714821009.29355358155
0.8138156.7716317183988.25131400258
0.8238450.1319747397961.701562943027
0.8338741.1574612843931.266649084874
0.8439028.6094233072896.833245598043
0.8539311.1767553571857.426366153351
0.8639587.8076502817813.009775557593
0.8739858.7784256336767.342329839233
0.8840127.5084157951730.062327594572
0.8940402.9637746482716.629147990162
0.940702.5292999622747.741428802363
0.9141055.1620644864847.789055966831
0.9241503.84803692581039.99406207308
0.9342104.87200489381332.0227269082
0.9442920.41400716551698.88557206782
0.9544001.49775580952074.35072248729
0.9645361.43790156892345.02479469967
0.9746951.96128270892364.66339219651
0.9848666.67452029822063.14812196148
0.9950313.86035369981563.96160442869

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11523.7983689816 & 130.704430199704 \tabularnewline
0.02 & 11660.3799984892 & 202.368074871494 \tabularnewline
0.03 & 11834.4401500008 & 287.236875163583 \tabularnewline
0.04 & 12051.7706687433 & 455.102655335853 \tabularnewline
0.05 & 12334.1692204427 & 638.965614644602 \tabularnewline
0.06 & 12677.2432558562 & 772.805277012741 \tabularnewline
0.07 & 13053.5868682271 & 836.19675437775 \tabularnewline
0.08 & 13434.0815940608 & 849.746515932983 \tabularnewline
0.09 & 13801.9409991132 & 849.119980747044 \tabularnewline
0.1 & 14154.8371344997 & 862.936280383209 \tabularnewline
0.11 & 14500.2022738213 & 906.213638474158 \tabularnewline
0.12 & 14849.2850581338 & 981.685493340377 \tabularnewline
0.13 & 15212.5805843703 & 1082.01508204244 \tabularnewline
0.14 & 15597.0734830192 & 1193.52223246845 \tabularnewline
0.15 & 16005.176137106 & 1301.83329409726 \tabularnewline
0.16 & 16435.206160743 & 1396.74034671497 \tabularnewline
0.17 & 16883.012762898 & 1474.80933670975 \tabularnewline
0.18 & 17344.0799475927 & 1539.45978567861 \tabularnewline
0.19 & 17815.388867609 & 1599.39169127261 \tabularnewline
0.2 & 18296.5064492218 & 1665.60835369046 \tabularnewline
0.21 & 18789.6322364385 & 1747.59752333535 \tabularnewline
0.22 & 19298.604417057 & 1848.82830081924 \tabularnewline
0.23 & 19827.1450651098 & 1964.12316106518 \tabularnewline
0.24 & 20376.8877575664 & 2079.7595811497 \tabularnewline
0.25 & 20945.8699537065 & 2177.1269003924 \tabularnewline
0.26 & 21528.0693690599 & 2238.81041552452 \tabularnewline
0.27 & 22114.2037077055 & 2254.05731094456 \tabularnewline
0.28 & 22693.5338082639 & 2221.78379162929 \tabularnewline
0.29 & 23256.0348464467 & 2150.48136264976 \tabularnewline
0.3 & 23794.2063690227 & 2054.65775137642 \tabularnewline
0.31 & 24304.0075206503 & 1950.54408362883 \tabularnewline
0.32 & 24784.7986884346 & 1851.11053306633 \tabularnewline
0.33 & 25238.5415730911 & 1764.37758630522 \tabularnewline
0.34 & 25668.6961716269 & 1692.95124614188 \tabularnewline
0.35 & 26079.2137576623 & 1636.04103962688 \tabularnewline
0.36 & 26473.8356873745 & 1591.3076160082 \tabularnewline
0.37 & 26855.6994830677 & 1556.25204083697 \tabularnewline
0.38 & 27227.1332017431 & 1527.9567178034 \tabularnewline
0.39 & 27589.5206728918 & 1502.6002905507 \tabularnewline
0.4 & 27943.204111304 & 1475.55983469569 \tabularnewline
0.41 & 28287.4808430049 & 1441.98625244613 \tabularnewline
0.42 & 28620.7832330216 & 1397.99219881142 \tabularnewline
0.43 & 28941.0853339218 & 1342.23312176421 \tabularnewline
0.44 & 29246.4839352536 & 1276.53305696446 \tabularnewline
0.45 & 29535.809664549 & 1205.81397144945 \tabularnewline
0.46 & 29809.0851164241 & 1136.86651092528 \tabularnewline
0.47 & 30067.6826386779 & 1076.77278692911 \tabularnewline
0.48 & 30314.1297194625 & 1030.8031067346 \tabularnewline
0.49 & 30551.6248364984 & 1000.90946927964 \tabularnewline
0.5 & 30783.4157203217 & 985.564931627033 \tabularnewline
0.51 & 31012.2239297159 & 980.583635153178 \tabularnewline
0.52 & 31239.868048313 & 980.510354332872 \tabularnewline
0.53 & 31467.1604820633 & 980.467485838893 \tabularnewline
0.54 & 31694.061776013 & 977.117874494246 \tabularnewline
0.55 & 31920.0040464417 & 969.201665132236 \tabularnewline
0.56 & 32144.2627157497 & 957.253452845677 \tabularnewline
0.57 & 32366.2672699363 & 942.908448865309 \tabularnewline
0.58 & 32585.7852894961 & 928.191766736866 \tabularnewline
0.59 & 32802.9683558715 & 914.867933854001 \tabularnewline
0.6 & 33018.2923429918 & 904.108028208891 \tabularnewline
0.61 & 33232.4447100412 & 896.426140416568 \tabularnewline
0.62 & 33446.2063052368 & 891.789171288332 \tabularnewline
0.63 & 33660.3543076358 & 889.981265469538 \tabularnewline
0.64 & 33875.5910560021 & 890.469710825573 \tabularnewline
0.65 & 34092.4931844612 & 892.782089696607 \tabularnewline
0.66 & 34311.4805760273 & 896.015859675033 \tabularnewline
0.67 & 34532.8181731148 & 899.348427792998 \tabularnewline
0.68 & 34756.6715563721 & 902.206271221293 \tabularnewline
0.69 & 34983.2268383332 & 904.705332433681 \tabularnewline
0.7 & 35212.8550074787 & 907.675732308868 \tabularnewline
0.71 & 35446.2634157709 & 912.864877787244 \tabularnewline
0.72 & 35684.5553716653 & 922.264484681444 \tabularnewline
0.73 & 35929.1324659142 & 937.136229564791 \tabularnewline
0.74 & 36181.426631988 & 956.983482686512 \tabularnewline
0.75 & 36442.5218343728 & 979.625348523773 \tabularnewline
0.76 & 36712.786117375 & 1001.23014652452 \tabularnewline
0.77 & 36991.6522068677 & 1017.52668356014 \tabularnewline
0.78 & 37277.6441087607 & 1025.13338036946 \tabularnewline
0.79 & 37568.657397595 & 1022.27246850588 \tabularnewline
0.8 & 37862.3937471482 & 1009.29355358155 \tabularnewline
0.81 & 38156.7716317183 & 988.25131400258 \tabularnewline
0.82 & 38450.1319747397 & 961.701562943027 \tabularnewline
0.83 & 38741.1574612843 & 931.266649084874 \tabularnewline
0.84 & 39028.6094233072 & 896.833245598043 \tabularnewline
0.85 & 39311.1767553571 & 857.426366153351 \tabularnewline
0.86 & 39587.8076502817 & 813.009775557593 \tabularnewline
0.87 & 39858.7784256336 & 767.342329839233 \tabularnewline
0.88 & 40127.5084157951 & 730.062327594572 \tabularnewline
0.89 & 40402.9637746482 & 716.629147990162 \tabularnewline
0.9 & 40702.5292999622 & 747.741428802363 \tabularnewline
0.91 & 41055.1620644864 & 847.789055966831 \tabularnewline
0.92 & 41503.8480369258 & 1039.99406207308 \tabularnewline
0.93 & 42104.8720048938 & 1332.0227269082 \tabularnewline
0.94 & 42920.4140071655 & 1698.88557206782 \tabularnewline
0.95 & 44001.4977558095 & 2074.35072248729 \tabularnewline
0.96 & 45361.4379015689 & 2345.02479469967 \tabularnewline
0.97 & 46951.9612827089 & 2364.66339219651 \tabularnewline
0.98 & 48666.6745202982 & 2063.14812196148 \tabularnewline
0.99 & 50313.8603536998 & 1563.96160442869 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]11523.7983689816[/C][C]130.704430199704[/C][/ROW]
[ROW][C]0.02[/C][C]11660.3799984892[/C][C]202.368074871494[/C][/ROW]
[ROW][C]0.03[/C][C]11834.4401500008[/C][C]287.236875163583[/C][/ROW]
[ROW][C]0.04[/C][C]12051.7706687433[/C][C]455.102655335853[/C][/ROW]
[ROW][C]0.05[/C][C]12334.1692204427[/C][C]638.965614644602[/C][/ROW]
[ROW][C]0.06[/C][C]12677.2432558562[/C][C]772.805277012741[/C][/ROW]
[ROW][C]0.07[/C][C]13053.5868682271[/C][C]836.19675437775[/C][/ROW]
[ROW][C]0.08[/C][C]13434.0815940608[/C][C]849.746515932983[/C][/ROW]
[ROW][C]0.09[/C][C]13801.9409991132[/C][C]849.119980747044[/C][/ROW]
[ROW][C]0.1[/C][C]14154.8371344997[/C][C]862.936280383209[/C][/ROW]
[ROW][C]0.11[/C][C]14500.2022738213[/C][C]906.213638474158[/C][/ROW]
[ROW][C]0.12[/C][C]14849.2850581338[/C][C]981.685493340377[/C][/ROW]
[ROW][C]0.13[/C][C]15212.5805843703[/C][C]1082.01508204244[/C][/ROW]
[ROW][C]0.14[/C][C]15597.0734830192[/C][C]1193.52223246845[/C][/ROW]
[ROW][C]0.15[/C][C]16005.176137106[/C][C]1301.83329409726[/C][/ROW]
[ROW][C]0.16[/C][C]16435.206160743[/C][C]1396.74034671497[/C][/ROW]
[ROW][C]0.17[/C][C]16883.012762898[/C][C]1474.80933670975[/C][/ROW]
[ROW][C]0.18[/C][C]17344.0799475927[/C][C]1539.45978567861[/C][/ROW]
[ROW][C]0.19[/C][C]17815.388867609[/C][C]1599.39169127261[/C][/ROW]
[ROW][C]0.2[/C][C]18296.5064492218[/C][C]1665.60835369046[/C][/ROW]
[ROW][C]0.21[/C][C]18789.6322364385[/C][C]1747.59752333535[/C][/ROW]
[ROW][C]0.22[/C][C]19298.604417057[/C][C]1848.82830081924[/C][/ROW]
[ROW][C]0.23[/C][C]19827.1450651098[/C][C]1964.12316106518[/C][/ROW]
[ROW][C]0.24[/C][C]20376.8877575664[/C][C]2079.7595811497[/C][/ROW]
[ROW][C]0.25[/C][C]20945.8699537065[/C][C]2177.1269003924[/C][/ROW]
[ROW][C]0.26[/C][C]21528.0693690599[/C][C]2238.81041552452[/C][/ROW]
[ROW][C]0.27[/C][C]22114.2037077055[/C][C]2254.05731094456[/C][/ROW]
[ROW][C]0.28[/C][C]22693.5338082639[/C][C]2221.78379162929[/C][/ROW]
[ROW][C]0.29[/C][C]23256.0348464467[/C][C]2150.48136264976[/C][/ROW]
[ROW][C]0.3[/C][C]23794.2063690227[/C][C]2054.65775137642[/C][/ROW]
[ROW][C]0.31[/C][C]24304.0075206503[/C][C]1950.54408362883[/C][/ROW]
[ROW][C]0.32[/C][C]24784.7986884346[/C][C]1851.11053306633[/C][/ROW]
[ROW][C]0.33[/C][C]25238.5415730911[/C][C]1764.37758630522[/C][/ROW]
[ROW][C]0.34[/C][C]25668.6961716269[/C][C]1692.95124614188[/C][/ROW]
[ROW][C]0.35[/C][C]26079.2137576623[/C][C]1636.04103962688[/C][/ROW]
[ROW][C]0.36[/C][C]26473.8356873745[/C][C]1591.3076160082[/C][/ROW]
[ROW][C]0.37[/C][C]26855.6994830677[/C][C]1556.25204083697[/C][/ROW]
[ROW][C]0.38[/C][C]27227.1332017431[/C][C]1527.9567178034[/C][/ROW]
[ROW][C]0.39[/C][C]27589.5206728918[/C][C]1502.6002905507[/C][/ROW]
[ROW][C]0.4[/C][C]27943.204111304[/C][C]1475.55983469569[/C][/ROW]
[ROW][C]0.41[/C][C]28287.4808430049[/C][C]1441.98625244613[/C][/ROW]
[ROW][C]0.42[/C][C]28620.7832330216[/C][C]1397.99219881142[/C][/ROW]
[ROW][C]0.43[/C][C]28941.0853339218[/C][C]1342.23312176421[/C][/ROW]
[ROW][C]0.44[/C][C]29246.4839352536[/C][C]1276.53305696446[/C][/ROW]
[ROW][C]0.45[/C][C]29535.809664549[/C][C]1205.81397144945[/C][/ROW]
[ROW][C]0.46[/C][C]29809.0851164241[/C][C]1136.86651092528[/C][/ROW]
[ROW][C]0.47[/C][C]30067.6826386779[/C][C]1076.77278692911[/C][/ROW]
[ROW][C]0.48[/C][C]30314.1297194625[/C][C]1030.8031067346[/C][/ROW]
[ROW][C]0.49[/C][C]30551.6248364984[/C][C]1000.90946927964[/C][/ROW]
[ROW][C]0.5[/C][C]30783.4157203217[/C][C]985.564931627033[/C][/ROW]
[ROW][C]0.51[/C][C]31012.2239297159[/C][C]980.583635153178[/C][/ROW]
[ROW][C]0.52[/C][C]31239.868048313[/C][C]980.510354332872[/C][/ROW]
[ROW][C]0.53[/C][C]31467.1604820633[/C][C]980.467485838893[/C][/ROW]
[ROW][C]0.54[/C][C]31694.061776013[/C][C]977.117874494246[/C][/ROW]
[ROW][C]0.55[/C][C]31920.0040464417[/C][C]969.201665132236[/C][/ROW]
[ROW][C]0.56[/C][C]32144.2627157497[/C][C]957.253452845677[/C][/ROW]
[ROW][C]0.57[/C][C]32366.2672699363[/C][C]942.908448865309[/C][/ROW]
[ROW][C]0.58[/C][C]32585.7852894961[/C][C]928.191766736866[/C][/ROW]
[ROW][C]0.59[/C][C]32802.9683558715[/C][C]914.867933854001[/C][/ROW]
[ROW][C]0.6[/C][C]33018.2923429918[/C][C]904.108028208891[/C][/ROW]
[ROW][C]0.61[/C][C]33232.4447100412[/C][C]896.426140416568[/C][/ROW]
[ROW][C]0.62[/C][C]33446.2063052368[/C][C]891.789171288332[/C][/ROW]
[ROW][C]0.63[/C][C]33660.3543076358[/C][C]889.981265469538[/C][/ROW]
[ROW][C]0.64[/C][C]33875.5910560021[/C][C]890.469710825573[/C][/ROW]
[ROW][C]0.65[/C][C]34092.4931844612[/C][C]892.782089696607[/C][/ROW]
[ROW][C]0.66[/C][C]34311.4805760273[/C][C]896.015859675033[/C][/ROW]
[ROW][C]0.67[/C][C]34532.8181731148[/C][C]899.348427792998[/C][/ROW]
[ROW][C]0.68[/C][C]34756.6715563721[/C][C]902.206271221293[/C][/ROW]
[ROW][C]0.69[/C][C]34983.2268383332[/C][C]904.705332433681[/C][/ROW]
[ROW][C]0.7[/C][C]35212.8550074787[/C][C]907.675732308868[/C][/ROW]
[ROW][C]0.71[/C][C]35446.2634157709[/C][C]912.864877787244[/C][/ROW]
[ROW][C]0.72[/C][C]35684.5553716653[/C][C]922.264484681444[/C][/ROW]
[ROW][C]0.73[/C][C]35929.1324659142[/C][C]937.136229564791[/C][/ROW]
[ROW][C]0.74[/C][C]36181.426631988[/C][C]956.983482686512[/C][/ROW]
[ROW][C]0.75[/C][C]36442.5218343728[/C][C]979.625348523773[/C][/ROW]
[ROW][C]0.76[/C][C]36712.786117375[/C][C]1001.23014652452[/C][/ROW]
[ROW][C]0.77[/C][C]36991.6522068677[/C][C]1017.52668356014[/C][/ROW]
[ROW][C]0.78[/C][C]37277.6441087607[/C][C]1025.13338036946[/C][/ROW]
[ROW][C]0.79[/C][C]37568.657397595[/C][C]1022.27246850588[/C][/ROW]
[ROW][C]0.8[/C][C]37862.3937471482[/C][C]1009.29355358155[/C][/ROW]
[ROW][C]0.81[/C][C]38156.7716317183[/C][C]988.25131400258[/C][/ROW]
[ROW][C]0.82[/C][C]38450.1319747397[/C][C]961.701562943027[/C][/ROW]
[ROW][C]0.83[/C][C]38741.1574612843[/C][C]931.266649084874[/C][/ROW]
[ROW][C]0.84[/C][C]39028.6094233072[/C][C]896.833245598043[/C][/ROW]
[ROW][C]0.85[/C][C]39311.1767553571[/C][C]857.426366153351[/C][/ROW]
[ROW][C]0.86[/C][C]39587.8076502817[/C][C]813.009775557593[/C][/ROW]
[ROW][C]0.87[/C][C]39858.7784256336[/C][C]767.342329839233[/C][/ROW]
[ROW][C]0.88[/C][C]40127.5084157951[/C][C]730.062327594572[/C][/ROW]
[ROW][C]0.89[/C][C]40402.9637746482[/C][C]716.629147990162[/C][/ROW]
[ROW][C]0.9[/C][C]40702.5292999622[/C][C]747.741428802363[/C][/ROW]
[ROW][C]0.91[/C][C]41055.1620644864[/C][C]847.789055966831[/C][/ROW]
[ROW][C]0.92[/C][C]41503.8480369258[/C][C]1039.99406207308[/C][/ROW]
[ROW][C]0.93[/C][C]42104.8720048938[/C][C]1332.0227269082[/C][/ROW]
[ROW][C]0.94[/C][C]42920.4140071655[/C][C]1698.88557206782[/C][/ROW]
[ROW][C]0.95[/C][C]44001.4977558095[/C][C]2074.35072248729[/C][/ROW]
[ROW][C]0.96[/C][C]45361.4379015689[/C][C]2345.02479469967[/C][/ROW]
[ROW][C]0.97[/C][C]46951.9612827089[/C][C]2364.66339219651[/C][/ROW]
[ROW][C]0.98[/C][C]48666.6745202982[/C][C]2063.14812196148[/C][/ROW]
[ROW][C]0.99[/C][C]50313.8603536998[/C][C]1563.96160442869[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0111523.7983689816130.704430199704
0.0211660.3799984892202.368074871494
0.0311834.4401500008287.236875163583
0.0412051.7706687433455.102655335853
0.0512334.1692204427638.965614644602
0.0612677.2432558562772.805277012741
0.0713053.5868682271836.19675437775
0.0813434.0815940608849.746515932983
0.0913801.9409991132849.119980747044
0.114154.8371344997862.936280383209
0.1114500.2022738213906.213638474158
0.1214849.2850581338981.685493340377
0.1315212.58058437031082.01508204244
0.1415597.07348301921193.52223246845
0.1516005.1761371061301.83329409726
0.1616435.2061607431396.74034671497
0.1716883.0127628981474.80933670975
0.1817344.07994759271539.45978567861
0.1917815.3888676091599.39169127261
0.218296.50644922181665.60835369046
0.2118789.63223643851747.59752333535
0.2219298.6044170571848.82830081924
0.2319827.14506510981964.12316106518
0.2420376.88775756642079.7595811497
0.2520945.86995370652177.1269003924
0.2621528.06936905992238.81041552452
0.2722114.20370770552254.05731094456
0.2822693.53380826392221.78379162929
0.2923256.03484644672150.48136264976
0.323794.20636902272054.65775137642
0.3124304.00752065031950.54408362883
0.3224784.79868843461851.11053306633
0.3325238.54157309111764.37758630522
0.3425668.69617162691692.95124614188
0.3526079.21375766231636.04103962688
0.3626473.83568737451591.3076160082
0.3726855.69948306771556.25204083697
0.3827227.13320174311527.9567178034
0.3927589.52067289181502.6002905507
0.427943.2041113041475.55983469569
0.4128287.48084300491441.98625244613
0.4228620.78323302161397.99219881142
0.4328941.08533392181342.23312176421
0.4429246.48393525361276.53305696446
0.4529535.8096645491205.81397144945
0.4629809.08511642411136.86651092528
0.4730067.68263867791076.77278692911
0.4830314.12971946251030.8031067346
0.4930551.62483649841000.90946927964
0.530783.4157203217985.564931627033
0.5131012.2239297159980.583635153178
0.5231239.868048313980.510354332872
0.5331467.1604820633980.467485838893
0.5431694.061776013977.117874494246
0.5531920.0040464417969.201665132236
0.5632144.2627157497957.253452845677
0.5732366.2672699363942.908448865309
0.5832585.7852894961928.191766736866
0.5932802.9683558715914.867933854001
0.633018.2923429918904.108028208891
0.6133232.4447100412896.426140416568
0.6233446.2063052368891.789171288332
0.6333660.3543076358889.981265469538
0.6433875.5910560021890.469710825573
0.6534092.4931844612892.782089696607
0.6634311.4805760273896.015859675033
0.6734532.8181731148899.348427792998
0.6834756.6715563721902.206271221293
0.6934983.2268383332904.705332433681
0.735212.8550074787907.675732308868
0.7135446.2634157709912.864877787244
0.7235684.5553716653922.264484681444
0.7335929.1324659142937.136229564791
0.7436181.426631988956.983482686512
0.7536442.5218343728979.625348523773
0.7636712.7861173751001.23014652452
0.7736991.65220686771017.52668356014
0.7837277.64410876071025.13338036946
0.7937568.6573975951022.27246850588
0.837862.39374714821009.29355358155
0.8138156.7716317183988.25131400258
0.8238450.1319747397961.701562943027
0.8338741.1574612843931.266649084874
0.8439028.6094233072896.833245598043
0.8539311.1767553571857.426366153351
0.8639587.8076502817813.009775557593
0.8739858.7784256336767.342329839233
0.8840127.5084157951730.062327594572
0.8940402.9637746482716.629147990162
0.940702.5292999622747.741428802363
0.9141055.1620644864847.789055966831
0.9241503.84803692581039.99406207308
0.9342104.87200489381332.0227269082
0.9442920.41400716551698.88557206782
0.9544001.49775580952074.35072248729
0.9645361.43790156892345.02479469967
0.9746951.96128270892364.66339219651
0.9848666.67452029822063.14812196148
0.9950313.86035369981563.96160442869


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')