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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 computationWed, 22 Feb 2012 07:54:25 -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/2012/Feb/22/t1329915281ayvqjwm3t1qfcax.htm/, Retrieved Mon, 06 May 2024 15:50:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163047, Retrieved Mon, 06 May 2024 15:50:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

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] [] [2012-02-22 12:54:25] [57781dd4fd8fc2f3d4652fc8b989af11] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-6
-3
-2
-5
-11
-11
-11
-10
-14
-8
-9
-5
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20
-24
-24
-22
-19
-18
-17
-11
-11
-12
-10
-15
-15
-15
-13
-8
-13
-9
-7
-4
-4
-2
0
-2

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'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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163047&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163047&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163047&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.69323188748070.871374494438339
0.02-24.20495977211320.913208270000939
0.03-23.62819960996221.17836985398265
0.04-22.99126048868471.49601295579839
0.05-22.30021491710651.76092217422559
0.06-21.56882408026111.95352707612455
0.07-20.81857190541062.07907202917962
0.08-20.07089576871682.1433076334516
0.09-19.34294007830252.15405723324176
0.1-18.64667102881182.12431930325086
0.11-17.98918303374962.06953104851744
0.12-17.37337222606642.00287147152242
0.13-16.79889416845171.93315001750633
0.14-16.26327856019551.86521536907182
0.15-15.76296027767591.80151326793549
0.16-15.2940623146851.74325491800051
0.17-14.85291628144471.69047830080556
0.18-14.43639213081781.64196875897797
0.19-14.04210549310911.59517782876601
0.2-13.66852610710871.54673137304313
0.21-13.31497485060151.49319612289072
0.22-12.98149099392341.43186838759287
0.23-12.66857095005521.36152449260377
0.24-12.37681012409831.28279927562789
0.25-12.10650668266141.19844004461557
0.26-11.85730123770281.11312394623178
0.27-11.62792518120041.0329213663966
0.28-11.41611215123060.964463182539175
0.29-11.2186951426830.913747225351159
0.3-11.03187312878270.88473367693899
0.31-10.85159516627130.878291831626079
0.32-10.67398600283450.891872137112448
0.33-10.49573118814620.92028429926555
0.34-10.31435251187980.957204833232575
0.35-10.12833197663550.996539754454462
0.36-9.937076659761631.03340359919311
0.37-9.740749001254681.06465235513928
0.38-9.540010155892081.089017236271
0.39-9.335734204026011.10689060561214
0.4-9.128748055684121.11998755439133
0.41-8.919638666511991.13072907110284
0.42-8.708650281226161.14171269113488
0.43-8.495674655458911.15510683034731
0.44-8.280320506922781.17226083491643
0.45-8.062037218964711.19353075649659
0.46-7.840262869965921.21823117458785
0.47-7.614567498553471.24482639129725
0.48-7.384767816382681.2712539921962
0.49-7.150997650723171.2952507930333
0.5-6.913727508485051.31470089988601
0.51-6.673735266054551.3279095253413
0.52-6.432036916630481.33377879546518
0.53-6.189790818189821.33188773592864
0.54-5.948190773467061.32248579779865
0.55-5.708362835828011.30637243204469
0.56-5.471278638884731.28478288565361
0.57-5.237695088750531.25919123965879
0.58-5.008127080617051.23115645980184
0.59-4.782856789205951.20211164415267
0.6-4.561979913900941.17316778809998
0.61-4.345485666676771.14495329638415
0.62-4.133362972392561.1174359743796
0.63-3.925720404717361.08984761946537
0.64-3.722902507691391.06071524317733
0.65-3.525581608924351.02802659978236
0.66-3.334803504554380.98955412209155
0.67-3.15196869870390.943263533923133
0.68-2.978738621027580.887758586280343
0.69-2.816867707885450.822676144206065
0.7-2.667975597419190.748943016752413
0.71-2.533286447702030.668864384003716
0.72-2.413372008415450.585997459390853
0.73-2.307939663556870.504875978840762
0.74-2.215705298003260.430644531299198
0.75-2.134383428473780.368695684343204
0.76-2.060813738047570.324266552386506
0.77-1.991223838858340.301532069907014
0.78-1.921602509838130.301793952618025
0.79-1.848126810312760.322071177871497
0.8-1.76755504323930.356077149327504
0.81-1.677476225384620.396635413827047
0.82-1.576312145304940.437648964605701
0.83-1.463017913475510.475542082143967
0.84-1.336528984771310.510455628626751
0.85-1.195140516079270.546690788654981
0.86-1.036126870915680.591310405101024
0.87-0.8559322599316520.650123466004372
0.88-0.6511057182881680.722422209931509
0.89-0.4197963579222810.798119329477985
0.9-0.1631879931416070.859914927206228
0.910.1139764992490030.89000314058713
0.920.4043005902547480.87868903354056
0.930.6995857202076710.830493417039342
0.940.9919856640004860.761459285612509
0.951.272732462427490.683332609963497
0.961.528810187721410.585481138135013
0.971.741496594999390.443882352194708
0.981.891900397404380.261187184076346
0.991.973265577461050.0909330629504859

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.6932318874807 & 0.871374494438339 \tabularnewline
0.02 & -24.2049597721132 & 0.913208270000939 \tabularnewline
0.03 & -23.6281996099622 & 1.17836985398265 \tabularnewline
0.04 & -22.9912604886847 & 1.49601295579839 \tabularnewline
0.05 & -22.3002149171065 & 1.76092217422559 \tabularnewline
0.06 & -21.5688240802611 & 1.95352707612455 \tabularnewline
0.07 & -20.8185719054106 & 2.07907202917962 \tabularnewline
0.08 & -20.0708957687168 & 2.1433076334516 \tabularnewline
0.09 & -19.3429400783025 & 2.15405723324176 \tabularnewline
0.1 & -18.6466710288118 & 2.12431930325086 \tabularnewline
0.11 & -17.9891830337496 & 2.06953104851744 \tabularnewline
0.12 & -17.3733722260664 & 2.00287147152242 \tabularnewline
0.13 & -16.7988941684517 & 1.93315001750633 \tabularnewline
0.14 & -16.2632785601955 & 1.86521536907182 \tabularnewline
0.15 & -15.7629602776759 & 1.80151326793549 \tabularnewline
0.16 & -15.294062314685 & 1.74325491800051 \tabularnewline
0.17 & -14.8529162814447 & 1.69047830080556 \tabularnewline
0.18 & -14.4363921308178 & 1.64196875897797 \tabularnewline
0.19 & -14.0421054931091 & 1.59517782876601 \tabularnewline
0.2 & -13.6685261071087 & 1.54673137304313 \tabularnewline
0.21 & -13.3149748506015 & 1.49319612289072 \tabularnewline
0.22 & -12.9814909939234 & 1.43186838759287 \tabularnewline
0.23 & -12.6685709500552 & 1.36152449260377 \tabularnewline
0.24 & -12.3768101240983 & 1.28279927562789 \tabularnewline
0.25 & -12.1065066826614 & 1.19844004461557 \tabularnewline
0.26 & -11.8573012377028 & 1.11312394623178 \tabularnewline
0.27 & -11.6279251812004 & 1.0329213663966 \tabularnewline
0.28 & -11.4161121512306 & 0.964463182539175 \tabularnewline
0.29 & -11.218695142683 & 0.913747225351159 \tabularnewline
0.3 & -11.0318731287827 & 0.88473367693899 \tabularnewline
0.31 & -10.8515951662713 & 0.878291831626079 \tabularnewline
0.32 & -10.6739860028345 & 0.891872137112448 \tabularnewline
0.33 & -10.4957311881462 & 0.92028429926555 \tabularnewline
0.34 & -10.3143525118798 & 0.957204833232575 \tabularnewline
0.35 & -10.1283319766355 & 0.996539754454462 \tabularnewline
0.36 & -9.93707665976163 & 1.03340359919311 \tabularnewline
0.37 & -9.74074900125468 & 1.06465235513928 \tabularnewline
0.38 & -9.54001015589208 & 1.089017236271 \tabularnewline
0.39 & -9.33573420402601 & 1.10689060561214 \tabularnewline
0.4 & -9.12874805568412 & 1.11998755439133 \tabularnewline
0.41 & -8.91963866651199 & 1.13072907110284 \tabularnewline
0.42 & -8.70865028122616 & 1.14171269113488 \tabularnewline
0.43 & -8.49567465545891 & 1.15510683034731 \tabularnewline
0.44 & -8.28032050692278 & 1.17226083491643 \tabularnewline
0.45 & -8.06203721896471 & 1.19353075649659 \tabularnewline
0.46 & -7.84026286996592 & 1.21823117458785 \tabularnewline
0.47 & -7.61456749855347 & 1.24482639129725 \tabularnewline
0.48 & -7.38476781638268 & 1.2712539921962 \tabularnewline
0.49 & -7.15099765072317 & 1.2952507930333 \tabularnewline
0.5 & -6.91372750848505 & 1.31470089988601 \tabularnewline
0.51 & -6.67373526605455 & 1.3279095253413 \tabularnewline
0.52 & -6.43203691663048 & 1.33377879546518 \tabularnewline
0.53 & -6.18979081818982 & 1.33188773592864 \tabularnewline
0.54 & -5.94819077346706 & 1.32248579779865 \tabularnewline
0.55 & -5.70836283582801 & 1.30637243204469 \tabularnewline
0.56 & -5.47127863888473 & 1.28478288565361 \tabularnewline
0.57 & -5.23769508875053 & 1.25919123965879 \tabularnewline
0.58 & -5.00812708061705 & 1.23115645980184 \tabularnewline
0.59 & -4.78285678920595 & 1.20211164415267 \tabularnewline
0.6 & -4.56197991390094 & 1.17316778809998 \tabularnewline
0.61 & -4.34548566667677 & 1.14495329638415 \tabularnewline
0.62 & -4.13336297239256 & 1.1174359743796 \tabularnewline
0.63 & -3.92572040471736 & 1.08984761946537 \tabularnewline
0.64 & -3.72290250769139 & 1.06071524317733 \tabularnewline
0.65 & -3.52558160892435 & 1.02802659978236 \tabularnewline
0.66 & -3.33480350455438 & 0.98955412209155 \tabularnewline
0.67 & -3.1519686987039 & 0.943263533923133 \tabularnewline
0.68 & -2.97873862102758 & 0.887758586280343 \tabularnewline
0.69 & -2.81686770788545 & 0.822676144206065 \tabularnewline
0.7 & -2.66797559741919 & 0.748943016752413 \tabularnewline
0.71 & -2.53328644770203 & 0.668864384003716 \tabularnewline
0.72 & -2.41337200841545 & 0.585997459390853 \tabularnewline
0.73 & -2.30793966355687 & 0.504875978840762 \tabularnewline
0.74 & -2.21570529800326 & 0.430644531299198 \tabularnewline
0.75 & -2.13438342847378 & 0.368695684343204 \tabularnewline
0.76 & -2.06081373804757 & 0.324266552386506 \tabularnewline
0.77 & -1.99122383885834 & 0.301532069907014 \tabularnewline
0.78 & -1.92160250983813 & 0.301793952618025 \tabularnewline
0.79 & -1.84812681031276 & 0.322071177871497 \tabularnewline
0.8 & -1.7675550432393 & 0.356077149327504 \tabularnewline
0.81 & -1.67747622538462 & 0.396635413827047 \tabularnewline
0.82 & -1.57631214530494 & 0.437648964605701 \tabularnewline
0.83 & -1.46301791347551 & 0.475542082143967 \tabularnewline
0.84 & -1.33652898477131 & 0.510455628626751 \tabularnewline
0.85 & -1.19514051607927 & 0.546690788654981 \tabularnewline
0.86 & -1.03612687091568 & 0.591310405101024 \tabularnewline
0.87 & -0.855932259931652 & 0.650123466004372 \tabularnewline
0.88 & -0.651105718288168 & 0.722422209931509 \tabularnewline
0.89 & -0.419796357922281 & 0.798119329477985 \tabularnewline
0.9 & -0.163187993141607 & 0.859914927206228 \tabularnewline
0.91 & 0.113976499249003 & 0.89000314058713 \tabularnewline
0.92 & 0.404300590254748 & 0.87868903354056 \tabularnewline
0.93 & 0.699585720207671 & 0.830493417039342 \tabularnewline
0.94 & 0.991985664000486 & 0.761459285612509 \tabularnewline
0.95 & 1.27273246242749 & 0.683332609963497 \tabularnewline
0.96 & 1.52881018772141 & 0.585481138135013 \tabularnewline
0.97 & 1.74149659499939 & 0.443882352194708 \tabularnewline
0.98 & 1.89190039740438 & 0.261187184076346 \tabularnewline
0.99 & 1.97326557746105 & 0.0909330629504859 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163047&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]-24.6932318874807[/C][C]0.871374494438339[/C][/ROW]
[ROW][C]0.02[/C][C]-24.2049597721132[/C][C]0.913208270000939[/C][/ROW]
[ROW][C]0.03[/C][C]-23.6281996099622[/C][C]1.17836985398265[/C][/ROW]
[ROW][C]0.04[/C][C]-22.9912604886847[/C][C]1.49601295579839[/C][/ROW]
[ROW][C]0.05[/C][C]-22.3002149171065[/C][C]1.76092217422559[/C][/ROW]
[ROW][C]0.06[/C][C]-21.5688240802611[/C][C]1.95352707612455[/C][/ROW]
[ROW][C]0.07[/C][C]-20.8185719054106[/C][C]2.07907202917962[/C][/ROW]
[ROW][C]0.08[/C][C]-20.0708957687168[/C][C]2.1433076334516[/C][/ROW]
[ROW][C]0.09[/C][C]-19.3429400783025[/C][C]2.15405723324176[/C][/ROW]
[ROW][C]0.1[/C][C]-18.6466710288118[/C][C]2.12431930325086[/C][/ROW]
[ROW][C]0.11[/C][C]-17.9891830337496[/C][C]2.06953104851744[/C][/ROW]
[ROW][C]0.12[/C][C]-17.3733722260664[/C][C]2.00287147152242[/C][/ROW]
[ROW][C]0.13[/C][C]-16.7988941684517[/C][C]1.93315001750633[/C][/ROW]
[ROW][C]0.14[/C][C]-16.2632785601955[/C][C]1.86521536907182[/C][/ROW]
[ROW][C]0.15[/C][C]-15.7629602776759[/C][C]1.80151326793549[/C][/ROW]
[ROW][C]0.16[/C][C]-15.294062314685[/C][C]1.74325491800051[/C][/ROW]
[ROW][C]0.17[/C][C]-14.8529162814447[/C][C]1.69047830080556[/C][/ROW]
[ROW][C]0.18[/C][C]-14.4363921308178[/C][C]1.64196875897797[/C][/ROW]
[ROW][C]0.19[/C][C]-14.0421054931091[/C][C]1.59517782876601[/C][/ROW]
[ROW][C]0.2[/C][C]-13.6685261071087[/C][C]1.54673137304313[/C][/ROW]
[ROW][C]0.21[/C][C]-13.3149748506015[/C][C]1.49319612289072[/C][/ROW]
[ROW][C]0.22[/C][C]-12.9814909939234[/C][C]1.43186838759287[/C][/ROW]
[ROW][C]0.23[/C][C]-12.6685709500552[/C][C]1.36152449260377[/C][/ROW]
[ROW][C]0.24[/C][C]-12.3768101240983[/C][C]1.28279927562789[/C][/ROW]
[ROW][C]0.25[/C][C]-12.1065066826614[/C][C]1.19844004461557[/C][/ROW]
[ROW][C]0.26[/C][C]-11.8573012377028[/C][C]1.11312394623178[/C][/ROW]
[ROW][C]0.27[/C][C]-11.6279251812004[/C][C]1.0329213663966[/C][/ROW]
[ROW][C]0.28[/C][C]-11.4161121512306[/C][C]0.964463182539175[/C][/ROW]
[ROW][C]0.29[/C][C]-11.218695142683[/C][C]0.913747225351159[/C][/ROW]
[ROW][C]0.3[/C][C]-11.0318731287827[/C][C]0.88473367693899[/C][/ROW]
[ROW][C]0.31[/C][C]-10.8515951662713[/C][C]0.878291831626079[/C][/ROW]
[ROW][C]0.32[/C][C]-10.6739860028345[/C][C]0.891872137112448[/C][/ROW]
[ROW][C]0.33[/C][C]-10.4957311881462[/C][C]0.92028429926555[/C][/ROW]
[ROW][C]0.34[/C][C]-10.3143525118798[/C][C]0.957204833232575[/C][/ROW]
[ROW][C]0.35[/C][C]-10.1283319766355[/C][C]0.996539754454462[/C][/ROW]
[ROW][C]0.36[/C][C]-9.93707665976163[/C][C]1.03340359919311[/C][/ROW]
[ROW][C]0.37[/C][C]-9.74074900125468[/C][C]1.06465235513928[/C][/ROW]
[ROW][C]0.38[/C][C]-9.54001015589208[/C][C]1.089017236271[/C][/ROW]
[ROW][C]0.39[/C][C]-9.33573420402601[/C][C]1.10689060561214[/C][/ROW]
[ROW][C]0.4[/C][C]-9.12874805568412[/C][C]1.11998755439133[/C][/ROW]
[ROW][C]0.41[/C][C]-8.91963866651199[/C][C]1.13072907110284[/C][/ROW]
[ROW][C]0.42[/C][C]-8.70865028122616[/C][C]1.14171269113488[/C][/ROW]
[ROW][C]0.43[/C][C]-8.49567465545891[/C][C]1.15510683034731[/C][/ROW]
[ROW][C]0.44[/C][C]-8.28032050692278[/C][C]1.17226083491643[/C][/ROW]
[ROW][C]0.45[/C][C]-8.06203721896471[/C][C]1.19353075649659[/C][/ROW]
[ROW][C]0.46[/C][C]-7.84026286996592[/C][C]1.21823117458785[/C][/ROW]
[ROW][C]0.47[/C][C]-7.61456749855347[/C][C]1.24482639129725[/C][/ROW]
[ROW][C]0.48[/C][C]-7.38476781638268[/C][C]1.2712539921962[/C][/ROW]
[ROW][C]0.49[/C][C]-7.15099765072317[/C][C]1.2952507930333[/C][/ROW]
[ROW][C]0.5[/C][C]-6.91372750848505[/C][C]1.31470089988601[/C][/ROW]
[ROW][C]0.51[/C][C]-6.67373526605455[/C][C]1.3279095253413[/C][/ROW]
[ROW][C]0.52[/C][C]-6.43203691663048[/C][C]1.33377879546518[/C][/ROW]
[ROW][C]0.53[/C][C]-6.18979081818982[/C][C]1.33188773592864[/C][/ROW]
[ROW][C]0.54[/C][C]-5.94819077346706[/C][C]1.32248579779865[/C][/ROW]
[ROW][C]0.55[/C][C]-5.70836283582801[/C][C]1.30637243204469[/C][/ROW]
[ROW][C]0.56[/C][C]-5.47127863888473[/C][C]1.28478288565361[/C][/ROW]
[ROW][C]0.57[/C][C]-5.23769508875053[/C][C]1.25919123965879[/C][/ROW]
[ROW][C]0.58[/C][C]-5.00812708061705[/C][C]1.23115645980184[/C][/ROW]
[ROW][C]0.59[/C][C]-4.78285678920595[/C][C]1.20211164415267[/C][/ROW]
[ROW][C]0.6[/C][C]-4.56197991390094[/C][C]1.17316778809998[/C][/ROW]
[ROW][C]0.61[/C][C]-4.34548566667677[/C][C]1.14495329638415[/C][/ROW]
[ROW][C]0.62[/C][C]-4.13336297239256[/C][C]1.1174359743796[/C][/ROW]
[ROW][C]0.63[/C][C]-3.92572040471736[/C][C]1.08984761946537[/C][/ROW]
[ROW][C]0.64[/C][C]-3.72290250769139[/C][C]1.06071524317733[/C][/ROW]
[ROW][C]0.65[/C][C]-3.52558160892435[/C][C]1.02802659978236[/C][/ROW]
[ROW][C]0.66[/C][C]-3.33480350455438[/C][C]0.98955412209155[/C][/ROW]
[ROW][C]0.67[/C][C]-3.1519686987039[/C][C]0.943263533923133[/C][/ROW]
[ROW][C]0.68[/C][C]-2.97873862102758[/C][C]0.887758586280343[/C][/ROW]
[ROW][C]0.69[/C][C]-2.81686770788545[/C][C]0.822676144206065[/C][/ROW]
[ROW][C]0.7[/C][C]-2.66797559741919[/C][C]0.748943016752413[/C][/ROW]
[ROW][C]0.71[/C][C]-2.53328644770203[/C][C]0.668864384003716[/C][/ROW]
[ROW][C]0.72[/C][C]-2.41337200841545[/C][C]0.585997459390853[/C][/ROW]
[ROW][C]0.73[/C][C]-2.30793966355687[/C][C]0.504875978840762[/C][/ROW]
[ROW][C]0.74[/C][C]-2.21570529800326[/C][C]0.430644531299198[/C][/ROW]
[ROW][C]0.75[/C][C]-2.13438342847378[/C][C]0.368695684343204[/C][/ROW]
[ROW][C]0.76[/C][C]-2.06081373804757[/C][C]0.324266552386506[/C][/ROW]
[ROW][C]0.77[/C][C]-1.99122383885834[/C][C]0.301532069907014[/C][/ROW]
[ROW][C]0.78[/C][C]-1.92160250983813[/C][C]0.301793952618025[/C][/ROW]
[ROW][C]0.79[/C][C]-1.84812681031276[/C][C]0.322071177871497[/C][/ROW]
[ROW][C]0.8[/C][C]-1.7675550432393[/C][C]0.356077149327504[/C][/ROW]
[ROW][C]0.81[/C][C]-1.67747622538462[/C][C]0.396635413827047[/C][/ROW]
[ROW][C]0.82[/C][C]-1.57631214530494[/C][C]0.437648964605701[/C][/ROW]
[ROW][C]0.83[/C][C]-1.46301791347551[/C][C]0.475542082143967[/C][/ROW]
[ROW][C]0.84[/C][C]-1.33652898477131[/C][C]0.510455628626751[/C][/ROW]
[ROW][C]0.85[/C][C]-1.19514051607927[/C][C]0.546690788654981[/C][/ROW]
[ROW][C]0.86[/C][C]-1.03612687091568[/C][C]0.591310405101024[/C][/ROW]
[ROW][C]0.87[/C][C]-0.855932259931652[/C][C]0.650123466004372[/C][/ROW]
[ROW][C]0.88[/C][C]-0.651105718288168[/C][C]0.722422209931509[/C][/ROW]
[ROW][C]0.89[/C][C]-0.419796357922281[/C][C]0.798119329477985[/C][/ROW]
[ROW][C]0.9[/C][C]-0.163187993141607[/C][C]0.859914927206228[/C][/ROW]
[ROW][C]0.91[/C][C]0.113976499249003[/C][C]0.89000314058713[/C][/ROW]
[ROW][C]0.92[/C][C]0.404300590254748[/C][C]0.87868903354056[/C][/ROW]
[ROW][C]0.93[/C][C]0.699585720207671[/C][C]0.830493417039342[/C][/ROW]
[ROW][C]0.94[/C][C]0.991985664000486[/C][C]0.761459285612509[/C][/ROW]
[ROW][C]0.95[/C][C]1.27273246242749[/C][C]0.683332609963497[/C][/ROW]
[ROW][C]0.96[/C][C]1.52881018772141[/C][C]0.585481138135013[/C][/ROW]
[ROW][C]0.97[/C][C]1.74149659499939[/C][C]0.443882352194708[/C][/ROW]
[ROW][C]0.98[/C][C]1.89190039740438[/C][C]0.261187184076346[/C][/ROW]
[ROW][C]0.99[/C][C]1.97326557746105[/C][C]0.0909330629504859[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163047&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163047&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
0.01-24.69323188748070.871374494438339
0.02-24.20495977211320.913208270000939
0.03-23.62819960996221.17836985398265
0.04-22.99126048868471.49601295579839
0.05-22.30021491710651.76092217422559
0.06-21.56882408026111.95352707612455
0.07-20.81857190541062.07907202917962
0.08-20.07089576871682.1433076334516
0.09-19.34294007830252.15405723324176
0.1-18.64667102881182.12431930325086
0.11-17.98918303374962.06953104851744
0.12-17.37337222606642.00287147152242
0.13-16.79889416845171.93315001750633
0.14-16.26327856019551.86521536907182
0.15-15.76296027767591.80151326793549
0.16-15.2940623146851.74325491800051
0.17-14.85291628144471.69047830080556
0.18-14.43639213081781.64196875897797
0.19-14.04210549310911.59517782876601
0.2-13.66852610710871.54673137304313
0.21-13.31497485060151.49319612289072
0.22-12.98149099392341.43186838759287
0.23-12.66857095005521.36152449260377
0.24-12.37681012409831.28279927562789
0.25-12.10650668266141.19844004461557
0.26-11.85730123770281.11312394623178
0.27-11.62792518120041.0329213663966
0.28-11.41611215123060.964463182539175
0.29-11.2186951426830.913747225351159
0.3-11.03187312878270.88473367693899
0.31-10.85159516627130.878291831626079
0.32-10.67398600283450.891872137112448
0.33-10.49573118814620.92028429926555
0.34-10.31435251187980.957204833232575
0.35-10.12833197663550.996539754454462
0.36-9.937076659761631.03340359919311
0.37-9.740749001254681.06465235513928
0.38-9.540010155892081.089017236271
0.39-9.335734204026011.10689060561214
0.4-9.128748055684121.11998755439133
0.41-8.919638666511991.13072907110284
0.42-8.708650281226161.14171269113488
0.43-8.495674655458911.15510683034731
0.44-8.280320506922781.17226083491643
0.45-8.062037218964711.19353075649659
0.46-7.840262869965921.21823117458785
0.47-7.614567498553471.24482639129725
0.48-7.384767816382681.2712539921962
0.49-7.150997650723171.2952507930333
0.5-6.913727508485051.31470089988601
0.51-6.673735266054551.3279095253413
0.52-6.432036916630481.33377879546518
0.53-6.189790818189821.33188773592864
0.54-5.948190773467061.32248579779865
0.55-5.708362835828011.30637243204469
0.56-5.471278638884731.28478288565361
0.57-5.237695088750531.25919123965879
0.58-5.008127080617051.23115645980184
0.59-4.782856789205951.20211164415267
0.6-4.561979913900941.17316778809998
0.61-4.345485666676771.14495329638415
0.62-4.133362972392561.1174359743796
0.63-3.925720404717361.08984761946537
0.64-3.722902507691391.06071524317733
0.65-3.525581608924351.02802659978236
0.66-3.334803504554380.98955412209155
0.67-3.15196869870390.943263533923133
0.68-2.978738621027580.887758586280343
0.69-2.816867707885450.822676144206065
0.7-2.667975597419190.748943016752413
0.71-2.533286447702030.668864384003716
0.72-2.413372008415450.585997459390853
0.73-2.307939663556870.504875978840762
0.74-2.215705298003260.430644531299198
0.75-2.134383428473780.368695684343204
0.76-2.060813738047570.324266552386506
0.77-1.991223838858340.301532069907014
0.78-1.921602509838130.301793952618025
0.79-1.848126810312760.322071177871497
0.8-1.76755504323930.356077149327504
0.81-1.677476225384620.396635413827047
0.82-1.576312145304940.437648964605701
0.83-1.463017913475510.475542082143967
0.84-1.336528984771310.510455628626751
0.85-1.195140516079270.546690788654981
0.86-1.036126870915680.591310405101024
0.87-0.8559322599316520.650123466004372
0.88-0.6511057182881680.722422209931509
0.89-0.4197963579222810.798119329477985
0.9-0.1631879931416070.859914927206228
0.910.1139764992490030.89000314058713
0.920.4043005902547480.87868903354056
0.930.6995857202076710.830493417039342
0.940.9919856640004860.761459285612509
0.951.272732462427490.683332609963497
0.961.528810187721410.585481138135013
0.971.741496594999390.443882352194708
0.981.891900397404380.261187184076346
0.991.973265577461050.0909330629504859


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')