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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 computationFri, 04 Oct 2013 07:48:42 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/04/t1380887455l2qw6nq4ljq6ci5.htm/, Retrieved Sun, 28 Apr 2024 20:17:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213110, Retrieved Sun, 28 Apr 2024 20:17:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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] [] [2013-10-04 11:48:42] [180e98ae07f6df0eca7781798569558e] [Current]
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Dataset

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Histogram
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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 time3 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213110&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213110&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0118.60534926578631.39682370911804
0.0219.30895299784880.749662917674775
0.0319.79103903064490.395131470989228
0.0420.07558710187640.348272651968834
0.0520.27431147892880.402315027925159
0.0620.44807787920540.422717002299868
0.0720.60641401839730.384379813247758
0.0820.74009017707140.305730043419395
0.0920.84180573545790.216501423369059
0.120.91206436607720.139738149433186
0.1120.95737186137960.0866558358143294
0.1220.9866058738610.0610470656607476
0.1321.00835420518990.0638487184335945
0.1421.0297518785880.0889063917990339
0.1521.05629551709310.129206390567677
0.1621.0919746434150.180465218025867
0.1721.13933503518340.238041781189557
0.1821.19940501948310.29586843817156
0.1921.27160523417550.347055393292995
0.221.3538051753420.385199157801521
0.2121.44262911187230.405746518293637
0.2221.53400842731840.406984929028269
0.2321.62387976426560.39056020827484
0.2421.70887418030570.360985428285798
0.2521.78684468241370.324809205910122
0.2621.85712851977170.28948336005601
0.2721.92051272967320.262240892001417
0.2821.97894050773230.248800351770624
0.2922.03504360547250.251814446929167
0.322.09160572635830.269977301109006
0.3122.15105743318140.298773141858957
0.3222.21508278697920.332422143123487
0.3322.28438992891140.365098945163404
0.3422.35866749921470.391790845672447
0.3522.4367191599180.408728586362809
0.3622.51674177248450.413954157123712
0.3722.596691695370.407407501402422
0.3822.67467141463760.390986598314126
0.3922.74926788048030.368194486437138
0.422.81978509806340.343567472415279
0.4122.88633466788440.322038991293452
0.4222.9497747799610.308030455449453
0.4323.01151527250990.304570830290884
0.4423.07322876943720.312277086661966
0.4523.13652203233120.329312685360026
0.4623.20262577409020.351924683557773
0.4723.27215532099890.375492188697128
0.4823.34498016816010.39541443013398
0.4923.42022028341390.40773320733728
0.523.49636448404750.409606108767977
0.5123.57148535071780.399638784291002
0.5223.64350986328840.377964762642687
0.5323.71049821644760.346145644771144
0.5423.77088630241040.306854871467885
0.5523.82365907892330.263380534192144
0.5623.86843929181010.219233640007588
0.5723.90549428355120.177645102012785
0.5823.93567829717650.14139326661888
0.5923.96033537316760.112806033619771
0.623.98118733072030.09398483818125
0.6124.00022350842470.0870050136878452
0.6224.01959703218890.0931526920641214
0.6324.04152067735310.111850359129322
0.6424.06814823864540.141319518365023
0.6524.10142790785730.17948564425841
0.6624.14292348493670.223802941000912
0.6724.19361547198660.270958767831379
0.6824.25371257019540.316824100541548
0.6924.32251831913820.356773908130568
0.724.39840114849460.386325868316288
0.7124.47890500565630.401861382077207
0.7224.56101258408240.401288444401314
0.7324.64153978498070.384651280415195
0.7424.71760780155320.354203786233031
0.7524.78711764051060.314292488817123
0.7624.84914654566140.270759162439007
0.7724.90419574952280.23044364017455
0.7824.9542378000390.200689357509854
0.7925.00253204042680.188714930957733
0.825.05319660266680.199090951887178
0.8125.11055132507530.230561649174978
0.8225.17829084574380.276621856823017
0.8325.25861809589010.32797238408505
0.8425.35155373126030.374101754587928
0.8525.45469841592820.404854478559343
0.8625.56370590803280.412967110406607
0.8725.67357592172480.396822989563436
0.8825.78058442790190.362422650179845
0.8925.88428341082760.323863261164366
0.925.98864559616820.301616146253793
0.9126.10131946361040.31378039365626
0.9226.23040754536470.358824489839369
0.9326.37948059698520.410671146288457
0.9426.54364895780740.433244785631561
0.9526.71161350499940.40088726110441
0.9626.87857976598820.322145674725813
0.9727.06766917176790.270785848542864
0.9827.33398501299040.394629620926133
0.9927.69535476155070.701998690061009

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 18.6053492657863 & 1.39682370911804 \tabularnewline
0.02 & 19.3089529978488 & 0.749662917674775 \tabularnewline
0.03 & 19.7910390306449 & 0.395131470989228 \tabularnewline
0.04 & 20.0755871018764 & 0.348272651968834 \tabularnewline
0.05 & 20.2743114789288 & 0.402315027925159 \tabularnewline
0.06 & 20.4480778792054 & 0.422717002299868 \tabularnewline
0.07 & 20.6064140183973 & 0.384379813247758 \tabularnewline
0.08 & 20.7400901770714 & 0.305730043419395 \tabularnewline
0.09 & 20.8418057354579 & 0.216501423369059 \tabularnewline
0.1 & 20.9120643660772 & 0.139738149433186 \tabularnewline
0.11 & 20.9573718613796 & 0.0866558358143294 \tabularnewline
0.12 & 20.986605873861 & 0.0610470656607476 \tabularnewline
0.13 & 21.0083542051899 & 0.0638487184335945 \tabularnewline
0.14 & 21.029751878588 & 0.0889063917990339 \tabularnewline
0.15 & 21.0562955170931 & 0.129206390567677 \tabularnewline
0.16 & 21.091974643415 & 0.180465218025867 \tabularnewline
0.17 & 21.1393350351834 & 0.238041781189557 \tabularnewline
0.18 & 21.1994050194831 & 0.29586843817156 \tabularnewline
0.19 & 21.2716052341755 & 0.347055393292995 \tabularnewline
0.2 & 21.353805175342 & 0.385199157801521 \tabularnewline
0.21 & 21.4426291118723 & 0.405746518293637 \tabularnewline
0.22 & 21.5340084273184 & 0.406984929028269 \tabularnewline
0.23 & 21.6238797642656 & 0.39056020827484 \tabularnewline
0.24 & 21.7088741803057 & 0.360985428285798 \tabularnewline
0.25 & 21.7868446824137 & 0.324809205910122 \tabularnewline
0.26 & 21.8571285197717 & 0.28948336005601 \tabularnewline
0.27 & 21.9205127296732 & 0.262240892001417 \tabularnewline
0.28 & 21.9789405077323 & 0.248800351770624 \tabularnewline
0.29 & 22.0350436054725 & 0.251814446929167 \tabularnewline
0.3 & 22.0916057263583 & 0.269977301109006 \tabularnewline
0.31 & 22.1510574331814 & 0.298773141858957 \tabularnewline
0.32 & 22.2150827869792 & 0.332422143123487 \tabularnewline
0.33 & 22.2843899289114 & 0.365098945163404 \tabularnewline
0.34 & 22.3586674992147 & 0.391790845672447 \tabularnewline
0.35 & 22.436719159918 & 0.408728586362809 \tabularnewline
0.36 & 22.5167417724845 & 0.413954157123712 \tabularnewline
0.37 & 22.59669169537 & 0.407407501402422 \tabularnewline
0.38 & 22.6746714146376 & 0.390986598314126 \tabularnewline
0.39 & 22.7492678804803 & 0.368194486437138 \tabularnewline
0.4 & 22.8197850980634 & 0.343567472415279 \tabularnewline
0.41 & 22.8863346678844 & 0.322038991293452 \tabularnewline
0.42 & 22.949774779961 & 0.308030455449453 \tabularnewline
0.43 & 23.0115152725099 & 0.304570830290884 \tabularnewline
0.44 & 23.0732287694372 & 0.312277086661966 \tabularnewline
0.45 & 23.1365220323312 & 0.329312685360026 \tabularnewline
0.46 & 23.2026257740902 & 0.351924683557773 \tabularnewline
0.47 & 23.2721553209989 & 0.375492188697128 \tabularnewline
0.48 & 23.3449801681601 & 0.39541443013398 \tabularnewline
0.49 & 23.4202202834139 & 0.40773320733728 \tabularnewline
0.5 & 23.4963644840475 & 0.409606108767977 \tabularnewline
0.51 & 23.5714853507178 & 0.399638784291002 \tabularnewline
0.52 & 23.6435098632884 & 0.377964762642687 \tabularnewline
0.53 & 23.7104982164476 & 0.346145644771144 \tabularnewline
0.54 & 23.7708863024104 & 0.306854871467885 \tabularnewline
0.55 & 23.8236590789233 & 0.263380534192144 \tabularnewline
0.56 & 23.8684392918101 & 0.219233640007588 \tabularnewline
0.57 & 23.9054942835512 & 0.177645102012785 \tabularnewline
0.58 & 23.9356782971765 & 0.14139326661888 \tabularnewline
0.59 & 23.9603353731676 & 0.112806033619771 \tabularnewline
0.6 & 23.9811873307203 & 0.09398483818125 \tabularnewline
0.61 & 24.0002235084247 & 0.0870050136878452 \tabularnewline
0.62 & 24.0195970321889 & 0.0931526920641214 \tabularnewline
0.63 & 24.0415206773531 & 0.111850359129322 \tabularnewline
0.64 & 24.0681482386454 & 0.141319518365023 \tabularnewline
0.65 & 24.1014279078573 & 0.17948564425841 \tabularnewline
0.66 & 24.1429234849367 & 0.223802941000912 \tabularnewline
0.67 & 24.1936154719866 & 0.270958767831379 \tabularnewline
0.68 & 24.2537125701954 & 0.316824100541548 \tabularnewline
0.69 & 24.3225183191382 & 0.356773908130568 \tabularnewline
0.7 & 24.3984011484946 & 0.386325868316288 \tabularnewline
0.71 & 24.4789050056563 & 0.401861382077207 \tabularnewline
0.72 & 24.5610125840824 & 0.401288444401314 \tabularnewline
0.73 & 24.6415397849807 & 0.384651280415195 \tabularnewline
0.74 & 24.7176078015532 & 0.354203786233031 \tabularnewline
0.75 & 24.7871176405106 & 0.314292488817123 \tabularnewline
0.76 & 24.8491465456614 & 0.270759162439007 \tabularnewline
0.77 & 24.9041957495228 & 0.23044364017455 \tabularnewline
0.78 & 24.954237800039 & 0.200689357509854 \tabularnewline
0.79 & 25.0025320404268 & 0.188714930957733 \tabularnewline
0.8 & 25.0531966026668 & 0.199090951887178 \tabularnewline
0.81 & 25.1105513250753 & 0.230561649174978 \tabularnewline
0.82 & 25.1782908457438 & 0.276621856823017 \tabularnewline
0.83 & 25.2586180958901 & 0.32797238408505 \tabularnewline
0.84 & 25.3515537312603 & 0.374101754587928 \tabularnewline
0.85 & 25.4546984159282 & 0.404854478559343 \tabularnewline
0.86 & 25.5637059080328 & 0.412967110406607 \tabularnewline
0.87 & 25.6735759217248 & 0.396822989563436 \tabularnewline
0.88 & 25.7805844279019 & 0.362422650179845 \tabularnewline
0.89 & 25.8842834108276 & 0.323863261164366 \tabularnewline
0.9 & 25.9886455961682 & 0.301616146253793 \tabularnewline
0.91 & 26.1013194636104 & 0.31378039365626 \tabularnewline
0.92 & 26.2304075453647 & 0.358824489839369 \tabularnewline
0.93 & 26.3794805969852 & 0.410671146288457 \tabularnewline
0.94 & 26.5436489578074 & 0.433244785631561 \tabularnewline
0.95 & 26.7116135049994 & 0.40088726110441 \tabularnewline
0.96 & 26.8785797659882 & 0.322145674725813 \tabularnewline
0.97 & 27.0676691717679 & 0.270785848542864 \tabularnewline
0.98 & 27.3339850129904 & 0.394629620926133 \tabularnewline
0.99 & 27.6953547615507 & 0.701998690061009 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213110&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]18.6053492657863[/C][C]1.39682370911804[/C][/ROW]
[ROW][C]0.02[/C][C]19.3089529978488[/C][C]0.749662917674775[/C][/ROW]
[ROW][C]0.03[/C][C]19.7910390306449[/C][C]0.395131470989228[/C][/ROW]
[ROW][C]0.04[/C][C]20.0755871018764[/C][C]0.348272651968834[/C][/ROW]
[ROW][C]0.05[/C][C]20.2743114789288[/C][C]0.402315027925159[/C][/ROW]
[ROW][C]0.06[/C][C]20.4480778792054[/C][C]0.422717002299868[/C][/ROW]
[ROW][C]0.07[/C][C]20.6064140183973[/C][C]0.384379813247758[/C][/ROW]
[ROW][C]0.08[/C][C]20.7400901770714[/C][C]0.305730043419395[/C][/ROW]
[ROW][C]0.09[/C][C]20.8418057354579[/C][C]0.216501423369059[/C][/ROW]
[ROW][C]0.1[/C][C]20.9120643660772[/C][C]0.139738149433186[/C][/ROW]
[ROW][C]0.11[/C][C]20.9573718613796[/C][C]0.0866558358143294[/C][/ROW]
[ROW][C]0.12[/C][C]20.986605873861[/C][C]0.0610470656607476[/C][/ROW]
[ROW][C]0.13[/C][C]21.0083542051899[/C][C]0.0638487184335945[/C][/ROW]
[ROW][C]0.14[/C][C]21.029751878588[/C][C]0.0889063917990339[/C][/ROW]
[ROW][C]0.15[/C][C]21.0562955170931[/C][C]0.129206390567677[/C][/ROW]
[ROW][C]0.16[/C][C]21.091974643415[/C][C]0.180465218025867[/C][/ROW]
[ROW][C]0.17[/C][C]21.1393350351834[/C][C]0.238041781189557[/C][/ROW]
[ROW][C]0.18[/C][C]21.1994050194831[/C][C]0.29586843817156[/C][/ROW]
[ROW][C]0.19[/C][C]21.2716052341755[/C][C]0.347055393292995[/C][/ROW]
[ROW][C]0.2[/C][C]21.353805175342[/C][C]0.385199157801521[/C][/ROW]
[ROW][C]0.21[/C][C]21.4426291118723[/C][C]0.405746518293637[/C][/ROW]
[ROW][C]0.22[/C][C]21.5340084273184[/C][C]0.406984929028269[/C][/ROW]
[ROW][C]0.23[/C][C]21.6238797642656[/C][C]0.39056020827484[/C][/ROW]
[ROW][C]0.24[/C][C]21.7088741803057[/C][C]0.360985428285798[/C][/ROW]
[ROW][C]0.25[/C][C]21.7868446824137[/C][C]0.324809205910122[/C][/ROW]
[ROW][C]0.26[/C][C]21.8571285197717[/C][C]0.28948336005601[/C][/ROW]
[ROW][C]0.27[/C][C]21.9205127296732[/C][C]0.262240892001417[/C][/ROW]
[ROW][C]0.28[/C][C]21.9789405077323[/C][C]0.248800351770624[/C][/ROW]
[ROW][C]0.29[/C][C]22.0350436054725[/C][C]0.251814446929167[/C][/ROW]
[ROW][C]0.3[/C][C]22.0916057263583[/C][C]0.269977301109006[/C][/ROW]
[ROW][C]0.31[/C][C]22.1510574331814[/C][C]0.298773141858957[/C][/ROW]
[ROW][C]0.32[/C][C]22.2150827869792[/C][C]0.332422143123487[/C][/ROW]
[ROW][C]0.33[/C][C]22.2843899289114[/C][C]0.365098945163404[/C][/ROW]
[ROW][C]0.34[/C][C]22.3586674992147[/C][C]0.391790845672447[/C][/ROW]
[ROW][C]0.35[/C][C]22.436719159918[/C][C]0.408728586362809[/C][/ROW]
[ROW][C]0.36[/C][C]22.5167417724845[/C][C]0.413954157123712[/C][/ROW]
[ROW][C]0.37[/C][C]22.59669169537[/C][C]0.407407501402422[/C][/ROW]
[ROW][C]0.38[/C][C]22.6746714146376[/C][C]0.390986598314126[/C][/ROW]
[ROW][C]0.39[/C][C]22.7492678804803[/C][C]0.368194486437138[/C][/ROW]
[ROW][C]0.4[/C][C]22.8197850980634[/C][C]0.343567472415279[/C][/ROW]
[ROW][C]0.41[/C][C]22.8863346678844[/C][C]0.322038991293452[/C][/ROW]
[ROW][C]0.42[/C][C]22.949774779961[/C][C]0.308030455449453[/C][/ROW]
[ROW][C]0.43[/C][C]23.0115152725099[/C][C]0.304570830290884[/C][/ROW]
[ROW][C]0.44[/C][C]23.0732287694372[/C][C]0.312277086661966[/C][/ROW]
[ROW][C]0.45[/C][C]23.1365220323312[/C][C]0.329312685360026[/C][/ROW]
[ROW][C]0.46[/C][C]23.2026257740902[/C][C]0.351924683557773[/C][/ROW]
[ROW][C]0.47[/C][C]23.2721553209989[/C][C]0.375492188697128[/C][/ROW]
[ROW][C]0.48[/C][C]23.3449801681601[/C][C]0.39541443013398[/C][/ROW]
[ROW][C]0.49[/C][C]23.4202202834139[/C][C]0.40773320733728[/C][/ROW]
[ROW][C]0.5[/C][C]23.4963644840475[/C][C]0.409606108767977[/C][/ROW]
[ROW][C]0.51[/C][C]23.5714853507178[/C][C]0.399638784291002[/C][/ROW]
[ROW][C]0.52[/C][C]23.6435098632884[/C][C]0.377964762642687[/C][/ROW]
[ROW][C]0.53[/C][C]23.7104982164476[/C][C]0.346145644771144[/C][/ROW]
[ROW][C]0.54[/C][C]23.7708863024104[/C][C]0.306854871467885[/C][/ROW]
[ROW][C]0.55[/C][C]23.8236590789233[/C][C]0.263380534192144[/C][/ROW]
[ROW][C]0.56[/C][C]23.8684392918101[/C][C]0.219233640007588[/C][/ROW]
[ROW][C]0.57[/C][C]23.9054942835512[/C][C]0.177645102012785[/C][/ROW]
[ROW][C]0.58[/C][C]23.9356782971765[/C][C]0.14139326661888[/C][/ROW]
[ROW][C]0.59[/C][C]23.9603353731676[/C][C]0.112806033619771[/C][/ROW]
[ROW][C]0.6[/C][C]23.9811873307203[/C][C]0.09398483818125[/C][/ROW]
[ROW][C]0.61[/C][C]24.0002235084247[/C][C]0.0870050136878452[/C][/ROW]
[ROW][C]0.62[/C][C]24.0195970321889[/C][C]0.0931526920641214[/C][/ROW]
[ROW][C]0.63[/C][C]24.0415206773531[/C][C]0.111850359129322[/C][/ROW]
[ROW][C]0.64[/C][C]24.0681482386454[/C][C]0.141319518365023[/C][/ROW]
[ROW][C]0.65[/C][C]24.1014279078573[/C][C]0.17948564425841[/C][/ROW]
[ROW][C]0.66[/C][C]24.1429234849367[/C][C]0.223802941000912[/C][/ROW]
[ROW][C]0.67[/C][C]24.1936154719866[/C][C]0.270958767831379[/C][/ROW]
[ROW][C]0.68[/C][C]24.2537125701954[/C][C]0.316824100541548[/C][/ROW]
[ROW][C]0.69[/C][C]24.3225183191382[/C][C]0.356773908130568[/C][/ROW]
[ROW][C]0.7[/C][C]24.3984011484946[/C][C]0.386325868316288[/C][/ROW]
[ROW][C]0.71[/C][C]24.4789050056563[/C][C]0.401861382077207[/C][/ROW]
[ROW][C]0.72[/C][C]24.5610125840824[/C][C]0.401288444401314[/C][/ROW]
[ROW][C]0.73[/C][C]24.6415397849807[/C][C]0.384651280415195[/C][/ROW]
[ROW][C]0.74[/C][C]24.7176078015532[/C][C]0.354203786233031[/C][/ROW]
[ROW][C]0.75[/C][C]24.7871176405106[/C][C]0.314292488817123[/C][/ROW]
[ROW][C]0.76[/C][C]24.8491465456614[/C][C]0.270759162439007[/C][/ROW]
[ROW][C]0.77[/C][C]24.9041957495228[/C][C]0.23044364017455[/C][/ROW]
[ROW][C]0.78[/C][C]24.954237800039[/C][C]0.200689357509854[/C][/ROW]
[ROW][C]0.79[/C][C]25.0025320404268[/C][C]0.188714930957733[/C][/ROW]
[ROW][C]0.8[/C][C]25.0531966026668[/C][C]0.199090951887178[/C][/ROW]
[ROW][C]0.81[/C][C]25.1105513250753[/C][C]0.230561649174978[/C][/ROW]
[ROW][C]0.82[/C][C]25.1782908457438[/C][C]0.276621856823017[/C][/ROW]
[ROW][C]0.83[/C][C]25.2586180958901[/C][C]0.32797238408505[/C][/ROW]
[ROW][C]0.84[/C][C]25.3515537312603[/C][C]0.374101754587928[/C][/ROW]
[ROW][C]0.85[/C][C]25.4546984159282[/C][C]0.404854478559343[/C][/ROW]
[ROW][C]0.86[/C][C]25.5637059080328[/C][C]0.412967110406607[/C][/ROW]
[ROW][C]0.87[/C][C]25.6735759217248[/C][C]0.396822989563436[/C][/ROW]
[ROW][C]0.88[/C][C]25.7805844279019[/C][C]0.362422650179845[/C][/ROW]
[ROW][C]0.89[/C][C]25.8842834108276[/C][C]0.323863261164366[/C][/ROW]
[ROW][C]0.9[/C][C]25.9886455961682[/C][C]0.301616146253793[/C][/ROW]
[ROW][C]0.91[/C][C]26.1013194636104[/C][C]0.31378039365626[/C][/ROW]
[ROW][C]0.92[/C][C]26.2304075453647[/C][C]0.358824489839369[/C][/ROW]
[ROW][C]0.93[/C][C]26.3794805969852[/C][C]0.410671146288457[/C][/ROW]
[ROW][C]0.94[/C][C]26.5436489578074[/C][C]0.433244785631561[/C][/ROW]
[ROW][C]0.95[/C][C]26.7116135049994[/C][C]0.40088726110441[/C][/ROW]
[ROW][C]0.96[/C][C]26.8785797659882[/C][C]0.322145674725813[/C][/ROW]
[ROW][C]0.97[/C][C]27.0676691717679[/C][C]0.270785848542864[/C][/ROW]
[ROW][C]0.98[/C][C]27.3339850129904[/C][C]0.394629620926133[/C][/ROW]
[ROW][C]0.99[/C][C]27.6953547615507[/C][C]0.701998690061009[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213110&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
0.0118.60534926578631.39682370911804
0.0219.30895299784880.749662917674775
0.0319.79103903064490.395131470989228
0.0420.07558710187640.348272651968834
0.0520.27431147892880.402315027925159
0.0620.44807787920540.422717002299868
0.0720.60641401839730.384379813247758
0.0820.74009017707140.305730043419395
0.0920.84180573545790.216501423369059
0.120.91206436607720.139738149433186
0.1120.95737186137960.0866558358143294
0.1220.9866058738610.0610470656607476
0.1321.00835420518990.0638487184335945
0.1421.0297518785880.0889063917990339
0.1521.05629551709310.129206390567677
0.1621.0919746434150.180465218025867
0.1721.13933503518340.238041781189557
0.1821.19940501948310.29586843817156
0.1921.27160523417550.347055393292995
0.221.3538051753420.385199157801521
0.2121.44262911187230.405746518293637
0.2221.53400842731840.406984929028269
0.2321.62387976426560.39056020827484
0.2421.70887418030570.360985428285798
0.2521.78684468241370.324809205910122
0.2621.85712851977170.28948336005601
0.2721.92051272967320.262240892001417
0.2821.97894050773230.248800351770624
0.2922.03504360547250.251814446929167
0.322.09160572635830.269977301109006
0.3122.15105743318140.298773141858957
0.3222.21508278697920.332422143123487
0.3322.28438992891140.365098945163404
0.3422.35866749921470.391790845672447
0.3522.4367191599180.408728586362809
0.3622.51674177248450.413954157123712
0.3722.596691695370.407407501402422
0.3822.67467141463760.390986598314126
0.3922.74926788048030.368194486437138
0.422.81978509806340.343567472415279
0.4122.88633466788440.322038991293452
0.4222.9497747799610.308030455449453
0.4323.01151527250990.304570830290884
0.4423.07322876943720.312277086661966
0.4523.13652203233120.329312685360026
0.4623.20262577409020.351924683557773
0.4723.27215532099890.375492188697128
0.4823.34498016816010.39541443013398
0.4923.42022028341390.40773320733728
0.523.49636448404750.409606108767977
0.5123.57148535071780.399638784291002
0.5223.64350986328840.377964762642687
0.5323.71049821644760.346145644771144
0.5423.77088630241040.306854871467885
0.5523.82365907892330.263380534192144
0.5623.86843929181010.219233640007588
0.5723.90549428355120.177645102012785
0.5823.93567829717650.14139326661888
0.5923.96033537316760.112806033619771
0.623.98118733072030.09398483818125
0.6124.00022350842470.0870050136878452
0.6224.01959703218890.0931526920641214
0.6324.04152067735310.111850359129322
0.6424.06814823864540.141319518365023
0.6524.10142790785730.17948564425841
0.6624.14292348493670.223802941000912
0.6724.19361547198660.270958767831379
0.6824.25371257019540.316824100541548
0.6924.32251831913820.356773908130568
0.724.39840114849460.386325868316288
0.7124.47890500565630.401861382077207
0.7224.56101258408240.401288444401314
0.7324.64153978498070.384651280415195
0.7424.71760780155320.354203786233031
0.7524.78711764051060.314292488817123
0.7624.84914654566140.270759162439007
0.7724.90419574952280.23044364017455
0.7824.9542378000390.200689357509854
0.7925.00253204042680.188714930957733
0.825.05319660266680.199090951887178
0.8125.11055132507530.230561649174978
0.8225.17829084574380.276621856823017
0.8325.25861809589010.32797238408505
0.8425.35155373126030.374101754587928
0.8525.45469841592820.404854478559343
0.8625.56370590803280.412967110406607
0.8725.67357592172480.396822989563436
0.8825.78058442790190.362422650179845
0.8925.88428341082760.323863261164366
0.925.98864559616820.301616146253793
0.9126.10131946361040.31378039365626
0.9226.23040754536470.358824489839369
0.9326.37948059698520.410671146288457
0.9426.54364895780740.433244785631561
0.9526.71161350499940.40088726110441
0.9626.87857976598820.322145674725813
0.9727.06766917176790.270785848542864
0.9827.33398501299040.394629620926133
0.9927.69535476155070.701998690061009


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')