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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, 13 Oct 2010 14:52:06 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/13/t1286981637e82ctjs2atfxrs7.htm/, Retrieved Mon, 06 May 2024 19:50:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83125, Retrieved Mon, 06 May 2024 19:50:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact96

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] [Kwantielen Indexc...] [2010-10-13 14:52:06] [97f4c042a3a976df335275c19da76a25] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95.05
96.84
96.92
97.44
97.78
97.69
96.67
98.29
98.2
98.71
98.54
98.2
96.92
99.06
99.65
99.82
99.99
100.33
99.31
101.1
101.1
100.93
100.85
100.93
99.6
101.88
101.81
102.38
102.74
102.82
101.72
103.47
102.98
102.68
102.9
103.03
101.29
103.69
103.68
104.2
104.08
104.16
103.05
104.66
104.46
104.95
105.85
106.23
104.86
107.44
108.23
108.45
109.39
110.15
109.13
110.28
110.17
109.99
109.26
109.11
107.06
109.53
108.92
109.24
109.12
109
107.23
109.49
109.04
109.02
109.23
109.46

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83125&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83125&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83125&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.47035167765121.2419002729298
0.0296.0096660954130.799848281057667
0.0396.4491821626150.479334291955526
0.0496.74562477245230.341294960831489
0.0596.9481414409660.33923434672758
0.0697.11130046864080.388438547971536
0.0797.26592007557290.439146674011066
0.0897.42238766026950.473668658901135
0.0997.58071038682430.490596671593521
0.197.7378478260240.49559958622657
0.1197.8913620027990.496877181237833
0.1298.04056153515750.501307863214607
0.1398.1863202560230.512930511361884
0.1498.33038372976470.532549215113184
0.1598.47464283606250.55839659236779
0.1698.6206057915090.587381711577026
0.1798.7691363604030.616079933290203
0.1898.92042990196950.642090976825948
0.1999.07415071344860.663945963266783
0.299.22963996198620.681257556001482
0.2199.38611486396520.694782378683074
0.2299.54280851114540.704664681093496
0.2399.69903521435740.711913303375062
0.2499.8541968837690.71639410416947
0.25100.0077630855660.717891350885977
0.26100.1592580323010.716253639698027
0.27100.3082749984980.711647598057334
0.28100.4545197124300.704784121719934
0.29100.5978672685640.696533796218092
0.3100.7384080876190.688956848734212
0.31100.8764597128590.683453442813847
0.32101.0125311903640.68127581428576
0.33101.1472411965820.683032246405954
0.34101.2812049011390.688154621459789
0.35101.4149136684810.695486610754907
0.36101.5486339915930.702964606483668
0.37101.6823476182620.708917936376943
0.38101.8157455126390.711339665192384
0.39101.9482768137520.708906986112815
0.4102.0792430594610.701118563556866
0.41102.2079198024420.688419537111848
0.42102.3336836298060.671623377607158
0.43102.4561228640850.652490085355454
0.44102.5751144317920.633196015888455
0.45102.6908564993710.615770197578766
0.46102.8038550719870.602174411975487
0.47102.9148712399940.593889425620311
0.48103.0248426213160.591581125754255
0.49103.1347965716280.595559407552919
0.5103.2457732197870.605113918777538
0.51103.3587732842720.619435691138002
0.52103.4747395567130.638013486599154
0.53103.5945730776910.660409056263849
0.54103.7191768922930.686610370525218
0.55103.8495134295240.71739747212058
0.56103.9866573436980.753639227788668
0.57104.1318249676150.796572029930146
0.58104.2863646188610.847046729890763
0.59104.4516984563210.905435351314642
0.6104.6292153482240.971328401673985
0.61104.820123728681.04320971641362
0.62105.0252818707131.11830636005943
0.63105.2450286528901.19331907889545
0.64105.4790394779051.26389999757664
0.65105.7262290835271.32567648186878
0.66105.9847161820811.37446256855114
0.67106.2518557691901.40654158456224
0.68106.5243357411361.41909082037114
0.69106.7983272733821.41016800247380
0.7107.0696745787961.37925100338952
0.71107.334109244031.32670673578171
0.72107.5874761008421.25411629152722
0.73107.8259595350061.16386097831431
0.74108.0462994613141.05942030072403
0.75108.2459842238540.94510089068733
0.76108.4234043736490.825470328661623
0.77108.5779489595060.705634714082071
0.78108.710027336540.590498152080288
0.79108.821006254970.484497932705793
0.8108.9130637788490.391060320894467
0.81108.9889757733430.312744892886103
0.82109.0518633208780.250549920472057
0.83109.1049369450810.204400938726326
0.84109.1512746352220.173108508122347
0.85109.1936669563300.154500442625734
0.86109.2345568837480.145884580734886
0.87109.2760945664440.144682800642291
0.88109.3203107415220.148995016687936
0.89109.3693717416000.158599827605804
0.9109.4258010492690.174574683652211
0.91109.4924516483980.198627975942403
0.92109.5719621914930.230144544436302
0.93109.6655609878340.263441204609055
0.94109.7715126676420.286897267192124
0.95109.8841491940040.286420925375112
0.96109.9947700188470.253249721943597
0.97110.0947800613980.193290804776606
0.98110.1787487369390.131858806790989
0.99110.2429426328330.103917851763951

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.4703516776512 & 1.2419002729298 \tabularnewline
0.02 & 96.009666095413 & 0.799848281057667 \tabularnewline
0.03 & 96.449182162615 & 0.479334291955526 \tabularnewline
0.04 & 96.7456247724523 & 0.341294960831489 \tabularnewline
0.05 & 96.948141440966 & 0.33923434672758 \tabularnewline
0.06 & 97.1113004686408 & 0.388438547971536 \tabularnewline
0.07 & 97.2659200755729 & 0.439146674011066 \tabularnewline
0.08 & 97.4223876602695 & 0.473668658901135 \tabularnewline
0.09 & 97.5807103868243 & 0.490596671593521 \tabularnewline
0.1 & 97.737847826024 & 0.49559958622657 \tabularnewline
0.11 & 97.891362002799 & 0.496877181237833 \tabularnewline
0.12 & 98.0405615351575 & 0.501307863214607 \tabularnewline
0.13 & 98.186320256023 & 0.512930511361884 \tabularnewline
0.14 & 98.3303837297647 & 0.532549215113184 \tabularnewline
0.15 & 98.4746428360625 & 0.55839659236779 \tabularnewline
0.16 & 98.620605791509 & 0.587381711577026 \tabularnewline
0.17 & 98.769136360403 & 0.616079933290203 \tabularnewline
0.18 & 98.9204299019695 & 0.642090976825948 \tabularnewline
0.19 & 99.0741507134486 & 0.663945963266783 \tabularnewline
0.2 & 99.2296399619862 & 0.681257556001482 \tabularnewline
0.21 & 99.3861148639652 & 0.694782378683074 \tabularnewline
0.22 & 99.5428085111454 & 0.704664681093496 \tabularnewline
0.23 & 99.6990352143574 & 0.711913303375062 \tabularnewline
0.24 & 99.854196883769 & 0.71639410416947 \tabularnewline
0.25 & 100.007763085566 & 0.717891350885977 \tabularnewline
0.26 & 100.159258032301 & 0.716253639698027 \tabularnewline
0.27 & 100.308274998498 & 0.711647598057334 \tabularnewline
0.28 & 100.454519712430 & 0.704784121719934 \tabularnewline
0.29 & 100.597867268564 & 0.696533796218092 \tabularnewline
0.3 & 100.738408087619 & 0.688956848734212 \tabularnewline
0.31 & 100.876459712859 & 0.683453442813847 \tabularnewline
0.32 & 101.012531190364 & 0.68127581428576 \tabularnewline
0.33 & 101.147241196582 & 0.683032246405954 \tabularnewline
0.34 & 101.281204901139 & 0.688154621459789 \tabularnewline
0.35 & 101.414913668481 & 0.695486610754907 \tabularnewline
0.36 & 101.548633991593 & 0.702964606483668 \tabularnewline
0.37 & 101.682347618262 & 0.708917936376943 \tabularnewline
0.38 & 101.815745512639 & 0.711339665192384 \tabularnewline
0.39 & 101.948276813752 & 0.708906986112815 \tabularnewline
0.4 & 102.079243059461 & 0.701118563556866 \tabularnewline
0.41 & 102.207919802442 & 0.688419537111848 \tabularnewline
0.42 & 102.333683629806 & 0.671623377607158 \tabularnewline
0.43 & 102.456122864085 & 0.652490085355454 \tabularnewline
0.44 & 102.575114431792 & 0.633196015888455 \tabularnewline
0.45 & 102.690856499371 & 0.615770197578766 \tabularnewline
0.46 & 102.803855071987 & 0.602174411975487 \tabularnewline
0.47 & 102.914871239994 & 0.593889425620311 \tabularnewline
0.48 & 103.024842621316 & 0.591581125754255 \tabularnewline
0.49 & 103.134796571628 & 0.595559407552919 \tabularnewline
0.5 & 103.245773219787 & 0.605113918777538 \tabularnewline
0.51 & 103.358773284272 & 0.619435691138002 \tabularnewline
0.52 & 103.474739556713 & 0.638013486599154 \tabularnewline
0.53 & 103.594573077691 & 0.660409056263849 \tabularnewline
0.54 & 103.719176892293 & 0.686610370525218 \tabularnewline
0.55 & 103.849513429524 & 0.71739747212058 \tabularnewline
0.56 & 103.986657343698 & 0.753639227788668 \tabularnewline
0.57 & 104.131824967615 & 0.796572029930146 \tabularnewline
0.58 & 104.286364618861 & 0.847046729890763 \tabularnewline
0.59 & 104.451698456321 & 0.905435351314642 \tabularnewline
0.6 & 104.629215348224 & 0.971328401673985 \tabularnewline
0.61 & 104.82012372868 & 1.04320971641362 \tabularnewline
0.62 & 105.025281870713 & 1.11830636005943 \tabularnewline
0.63 & 105.245028652890 & 1.19331907889545 \tabularnewline
0.64 & 105.479039477905 & 1.26389999757664 \tabularnewline
0.65 & 105.726229083527 & 1.32567648186878 \tabularnewline
0.66 & 105.984716182081 & 1.37446256855114 \tabularnewline
0.67 & 106.251855769190 & 1.40654158456224 \tabularnewline
0.68 & 106.524335741136 & 1.41909082037114 \tabularnewline
0.69 & 106.798327273382 & 1.41016800247380 \tabularnewline
0.7 & 107.069674578796 & 1.37925100338952 \tabularnewline
0.71 & 107.33410924403 & 1.32670673578171 \tabularnewline
0.72 & 107.587476100842 & 1.25411629152722 \tabularnewline
0.73 & 107.825959535006 & 1.16386097831431 \tabularnewline
0.74 & 108.046299461314 & 1.05942030072403 \tabularnewline
0.75 & 108.245984223854 & 0.94510089068733 \tabularnewline
0.76 & 108.423404373649 & 0.825470328661623 \tabularnewline
0.77 & 108.577948959506 & 0.705634714082071 \tabularnewline
0.78 & 108.71002733654 & 0.590498152080288 \tabularnewline
0.79 & 108.82100625497 & 0.484497932705793 \tabularnewline
0.8 & 108.913063778849 & 0.391060320894467 \tabularnewline
0.81 & 108.988975773343 & 0.312744892886103 \tabularnewline
0.82 & 109.051863320878 & 0.250549920472057 \tabularnewline
0.83 & 109.104936945081 & 0.204400938726326 \tabularnewline
0.84 & 109.151274635222 & 0.173108508122347 \tabularnewline
0.85 & 109.193666956330 & 0.154500442625734 \tabularnewline
0.86 & 109.234556883748 & 0.145884580734886 \tabularnewline
0.87 & 109.276094566444 & 0.144682800642291 \tabularnewline
0.88 & 109.320310741522 & 0.148995016687936 \tabularnewline
0.89 & 109.369371741600 & 0.158599827605804 \tabularnewline
0.9 & 109.425801049269 & 0.174574683652211 \tabularnewline
0.91 & 109.492451648398 & 0.198627975942403 \tabularnewline
0.92 & 109.571962191493 & 0.230144544436302 \tabularnewline
0.93 & 109.665560987834 & 0.263441204609055 \tabularnewline
0.94 & 109.771512667642 & 0.286897267192124 \tabularnewline
0.95 & 109.884149194004 & 0.286420925375112 \tabularnewline
0.96 & 109.994770018847 & 0.253249721943597 \tabularnewline
0.97 & 110.094780061398 & 0.193290804776606 \tabularnewline
0.98 & 110.178748736939 & 0.131858806790989 \tabularnewline
0.99 & 110.242942632833 & 0.103917851763951 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83125&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]95.4703516776512[/C][C]1.2419002729298[/C][/ROW]
[ROW][C]0.02[/C][C]96.009666095413[/C][C]0.799848281057667[/C][/ROW]
[ROW][C]0.03[/C][C]96.449182162615[/C][C]0.479334291955526[/C][/ROW]
[ROW][C]0.04[/C][C]96.7456247724523[/C][C]0.341294960831489[/C][/ROW]
[ROW][C]0.05[/C][C]96.948141440966[/C][C]0.33923434672758[/C][/ROW]
[ROW][C]0.06[/C][C]97.1113004686408[/C][C]0.388438547971536[/C][/ROW]
[ROW][C]0.07[/C][C]97.2659200755729[/C][C]0.439146674011066[/C][/ROW]
[ROW][C]0.08[/C][C]97.4223876602695[/C][C]0.473668658901135[/C][/ROW]
[ROW][C]0.09[/C][C]97.5807103868243[/C][C]0.490596671593521[/C][/ROW]
[ROW][C]0.1[/C][C]97.737847826024[/C][C]0.49559958622657[/C][/ROW]
[ROW][C]0.11[/C][C]97.891362002799[/C][C]0.496877181237833[/C][/ROW]
[ROW][C]0.12[/C][C]98.0405615351575[/C][C]0.501307863214607[/C][/ROW]
[ROW][C]0.13[/C][C]98.186320256023[/C][C]0.512930511361884[/C][/ROW]
[ROW][C]0.14[/C][C]98.3303837297647[/C][C]0.532549215113184[/C][/ROW]
[ROW][C]0.15[/C][C]98.4746428360625[/C][C]0.55839659236779[/C][/ROW]
[ROW][C]0.16[/C][C]98.620605791509[/C][C]0.587381711577026[/C][/ROW]
[ROW][C]0.17[/C][C]98.769136360403[/C][C]0.616079933290203[/C][/ROW]
[ROW][C]0.18[/C][C]98.9204299019695[/C][C]0.642090976825948[/C][/ROW]
[ROW][C]0.19[/C][C]99.0741507134486[/C][C]0.663945963266783[/C][/ROW]
[ROW][C]0.2[/C][C]99.2296399619862[/C][C]0.681257556001482[/C][/ROW]
[ROW][C]0.21[/C][C]99.3861148639652[/C][C]0.694782378683074[/C][/ROW]
[ROW][C]0.22[/C][C]99.5428085111454[/C][C]0.704664681093496[/C][/ROW]
[ROW][C]0.23[/C][C]99.6990352143574[/C][C]0.711913303375062[/C][/ROW]
[ROW][C]0.24[/C][C]99.854196883769[/C][C]0.71639410416947[/C][/ROW]
[ROW][C]0.25[/C][C]100.007763085566[/C][C]0.717891350885977[/C][/ROW]
[ROW][C]0.26[/C][C]100.159258032301[/C][C]0.716253639698027[/C][/ROW]
[ROW][C]0.27[/C][C]100.308274998498[/C][C]0.711647598057334[/C][/ROW]
[ROW][C]0.28[/C][C]100.454519712430[/C][C]0.704784121719934[/C][/ROW]
[ROW][C]0.29[/C][C]100.597867268564[/C][C]0.696533796218092[/C][/ROW]
[ROW][C]0.3[/C][C]100.738408087619[/C][C]0.688956848734212[/C][/ROW]
[ROW][C]0.31[/C][C]100.876459712859[/C][C]0.683453442813847[/C][/ROW]
[ROW][C]0.32[/C][C]101.012531190364[/C][C]0.68127581428576[/C][/ROW]
[ROW][C]0.33[/C][C]101.147241196582[/C][C]0.683032246405954[/C][/ROW]
[ROW][C]0.34[/C][C]101.281204901139[/C][C]0.688154621459789[/C][/ROW]
[ROW][C]0.35[/C][C]101.414913668481[/C][C]0.695486610754907[/C][/ROW]
[ROW][C]0.36[/C][C]101.548633991593[/C][C]0.702964606483668[/C][/ROW]
[ROW][C]0.37[/C][C]101.682347618262[/C][C]0.708917936376943[/C][/ROW]
[ROW][C]0.38[/C][C]101.815745512639[/C][C]0.711339665192384[/C][/ROW]
[ROW][C]0.39[/C][C]101.948276813752[/C][C]0.708906986112815[/C][/ROW]
[ROW][C]0.4[/C][C]102.079243059461[/C][C]0.701118563556866[/C][/ROW]
[ROW][C]0.41[/C][C]102.207919802442[/C][C]0.688419537111848[/C][/ROW]
[ROW][C]0.42[/C][C]102.333683629806[/C][C]0.671623377607158[/C][/ROW]
[ROW][C]0.43[/C][C]102.456122864085[/C][C]0.652490085355454[/C][/ROW]
[ROW][C]0.44[/C][C]102.575114431792[/C][C]0.633196015888455[/C][/ROW]
[ROW][C]0.45[/C][C]102.690856499371[/C][C]0.615770197578766[/C][/ROW]
[ROW][C]0.46[/C][C]102.803855071987[/C][C]0.602174411975487[/C][/ROW]
[ROW][C]0.47[/C][C]102.914871239994[/C][C]0.593889425620311[/C][/ROW]
[ROW][C]0.48[/C][C]103.024842621316[/C][C]0.591581125754255[/C][/ROW]
[ROW][C]0.49[/C][C]103.134796571628[/C][C]0.595559407552919[/C][/ROW]
[ROW][C]0.5[/C][C]103.245773219787[/C][C]0.605113918777538[/C][/ROW]
[ROW][C]0.51[/C][C]103.358773284272[/C][C]0.619435691138002[/C][/ROW]
[ROW][C]0.52[/C][C]103.474739556713[/C][C]0.638013486599154[/C][/ROW]
[ROW][C]0.53[/C][C]103.594573077691[/C][C]0.660409056263849[/C][/ROW]
[ROW][C]0.54[/C][C]103.719176892293[/C][C]0.686610370525218[/C][/ROW]
[ROW][C]0.55[/C][C]103.849513429524[/C][C]0.71739747212058[/C][/ROW]
[ROW][C]0.56[/C][C]103.986657343698[/C][C]0.753639227788668[/C][/ROW]
[ROW][C]0.57[/C][C]104.131824967615[/C][C]0.796572029930146[/C][/ROW]
[ROW][C]0.58[/C][C]104.286364618861[/C][C]0.847046729890763[/C][/ROW]
[ROW][C]0.59[/C][C]104.451698456321[/C][C]0.905435351314642[/C][/ROW]
[ROW][C]0.6[/C][C]104.629215348224[/C][C]0.971328401673985[/C][/ROW]
[ROW][C]0.61[/C][C]104.82012372868[/C][C]1.04320971641362[/C][/ROW]
[ROW][C]0.62[/C][C]105.025281870713[/C][C]1.11830636005943[/C][/ROW]
[ROW][C]0.63[/C][C]105.245028652890[/C][C]1.19331907889545[/C][/ROW]
[ROW][C]0.64[/C][C]105.479039477905[/C][C]1.26389999757664[/C][/ROW]
[ROW][C]0.65[/C][C]105.726229083527[/C][C]1.32567648186878[/C][/ROW]
[ROW][C]0.66[/C][C]105.984716182081[/C][C]1.37446256855114[/C][/ROW]
[ROW][C]0.67[/C][C]106.251855769190[/C][C]1.40654158456224[/C][/ROW]
[ROW][C]0.68[/C][C]106.524335741136[/C][C]1.41909082037114[/C][/ROW]
[ROW][C]0.69[/C][C]106.798327273382[/C][C]1.41016800247380[/C][/ROW]
[ROW][C]0.7[/C][C]107.069674578796[/C][C]1.37925100338952[/C][/ROW]
[ROW][C]0.71[/C][C]107.33410924403[/C][C]1.32670673578171[/C][/ROW]
[ROW][C]0.72[/C][C]107.587476100842[/C][C]1.25411629152722[/C][/ROW]
[ROW][C]0.73[/C][C]107.825959535006[/C][C]1.16386097831431[/C][/ROW]
[ROW][C]0.74[/C][C]108.046299461314[/C][C]1.05942030072403[/C][/ROW]
[ROW][C]0.75[/C][C]108.245984223854[/C][C]0.94510089068733[/C][/ROW]
[ROW][C]0.76[/C][C]108.423404373649[/C][C]0.825470328661623[/C][/ROW]
[ROW][C]0.77[/C][C]108.577948959506[/C][C]0.705634714082071[/C][/ROW]
[ROW][C]0.78[/C][C]108.71002733654[/C][C]0.590498152080288[/C][/ROW]
[ROW][C]0.79[/C][C]108.82100625497[/C][C]0.484497932705793[/C][/ROW]
[ROW][C]0.8[/C][C]108.913063778849[/C][C]0.391060320894467[/C][/ROW]
[ROW][C]0.81[/C][C]108.988975773343[/C][C]0.312744892886103[/C][/ROW]
[ROW][C]0.82[/C][C]109.051863320878[/C][C]0.250549920472057[/C][/ROW]
[ROW][C]0.83[/C][C]109.104936945081[/C][C]0.204400938726326[/C][/ROW]
[ROW][C]0.84[/C][C]109.151274635222[/C][C]0.173108508122347[/C][/ROW]
[ROW][C]0.85[/C][C]109.193666956330[/C][C]0.154500442625734[/C][/ROW]
[ROW][C]0.86[/C][C]109.234556883748[/C][C]0.145884580734886[/C][/ROW]
[ROW][C]0.87[/C][C]109.276094566444[/C][C]0.144682800642291[/C][/ROW]
[ROW][C]0.88[/C][C]109.320310741522[/C][C]0.148995016687936[/C][/ROW]
[ROW][C]0.89[/C][C]109.369371741600[/C][C]0.158599827605804[/C][/ROW]
[ROW][C]0.9[/C][C]109.425801049269[/C][C]0.174574683652211[/C][/ROW]
[ROW][C]0.91[/C][C]109.492451648398[/C][C]0.198627975942403[/C][/ROW]
[ROW][C]0.92[/C][C]109.571962191493[/C][C]0.230144544436302[/C][/ROW]
[ROW][C]0.93[/C][C]109.665560987834[/C][C]0.263441204609055[/C][/ROW]
[ROW][C]0.94[/C][C]109.771512667642[/C][C]0.286897267192124[/C][/ROW]
[ROW][C]0.95[/C][C]109.884149194004[/C][C]0.286420925375112[/C][/ROW]
[ROW][C]0.96[/C][C]109.994770018847[/C][C]0.253249721943597[/C][/ROW]
[ROW][C]0.97[/C][C]110.094780061398[/C][C]0.193290804776606[/C][/ROW]
[ROW][C]0.98[/C][C]110.178748736939[/C][C]0.131858806790989[/C][/ROW]
[ROW][C]0.99[/C][C]110.242942632833[/C][C]0.103917851763951[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83125&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83125&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
0.0195.47035167765121.2419002729298
0.0296.0096660954130.799848281057667
0.0396.4491821626150.479334291955526
0.0496.74562477245230.341294960831489
0.0596.9481414409660.33923434672758
0.0697.11130046864080.388438547971536
0.0797.26592007557290.439146674011066
0.0897.42238766026950.473668658901135
0.0997.58071038682430.490596671593521
0.197.7378478260240.49559958622657
0.1197.8913620027990.496877181237833
0.1298.04056153515750.501307863214607
0.1398.1863202560230.512930511361884
0.1498.33038372976470.532549215113184
0.1598.47464283606250.55839659236779
0.1698.6206057915090.587381711577026
0.1798.7691363604030.616079933290203
0.1898.92042990196950.642090976825948
0.1999.07415071344860.663945963266783
0.299.22963996198620.681257556001482
0.2199.38611486396520.694782378683074
0.2299.54280851114540.704664681093496
0.2399.69903521435740.711913303375062
0.2499.8541968837690.71639410416947
0.25100.0077630855660.717891350885977
0.26100.1592580323010.716253639698027
0.27100.3082749984980.711647598057334
0.28100.4545197124300.704784121719934
0.29100.5978672685640.696533796218092
0.3100.7384080876190.688956848734212
0.31100.8764597128590.683453442813847
0.32101.0125311903640.68127581428576
0.33101.1472411965820.683032246405954
0.34101.2812049011390.688154621459789
0.35101.4149136684810.695486610754907
0.36101.5486339915930.702964606483668
0.37101.6823476182620.708917936376943
0.38101.8157455126390.711339665192384
0.39101.9482768137520.708906986112815
0.4102.0792430594610.701118563556866
0.41102.2079198024420.688419537111848
0.42102.3336836298060.671623377607158
0.43102.4561228640850.652490085355454
0.44102.5751144317920.633196015888455
0.45102.6908564993710.615770197578766
0.46102.8038550719870.602174411975487
0.47102.9148712399940.593889425620311
0.48103.0248426213160.591581125754255
0.49103.1347965716280.595559407552919
0.5103.2457732197870.605113918777538
0.51103.3587732842720.619435691138002
0.52103.4747395567130.638013486599154
0.53103.5945730776910.660409056263849
0.54103.7191768922930.686610370525218
0.55103.8495134295240.71739747212058
0.56103.9866573436980.753639227788668
0.57104.1318249676150.796572029930146
0.58104.2863646188610.847046729890763
0.59104.4516984563210.905435351314642
0.6104.6292153482240.971328401673985
0.61104.820123728681.04320971641362
0.62105.0252818707131.11830636005943
0.63105.2450286528901.19331907889545
0.64105.4790394779051.26389999757664
0.65105.7262290835271.32567648186878
0.66105.9847161820811.37446256855114
0.67106.2518557691901.40654158456224
0.68106.5243357411361.41909082037114
0.69106.7983272733821.41016800247380
0.7107.0696745787961.37925100338952
0.71107.334109244031.32670673578171
0.72107.5874761008421.25411629152722
0.73107.8259595350061.16386097831431
0.74108.0462994613141.05942030072403
0.75108.2459842238540.94510089068733
0.76108.4234043736490.825470328661623
0.77108.5779489595060.705634714082071
0.78108.710027336540.590498152080288
0.79108.821006254970.484497932705793
0.8108.9130637788490.391060320894467
0.81108.9889757733430.312744892886103
0.82109.0518633208780.250549920472057
0.83109.1049369450810.204400938726326
0.84109.1512746352220.173108508122347
0.85109.1936669563300.154500442625734
0.86109.2345568837480.145884580734886
0.87109.2760945664440.144682800642291
0.88109.3203107415220.148995016687936
0.89109.3693717416000.158599827605804
0.9109.4258010492690.174574683652211
0.91109.4924516483980.198627975942403
0.92109.5719621914930.230144544436302
0.93109.6655609878340.263441204609055
0.94109.7715126676420.286897267192124
0.95109.8841491940040.286420925375112
0.96109.9947700188470.253249721943597
0.97110.0947800613980.193290804776606
0.98110.1787487369390.131858806790989
0.99110.2429426328330.103917851763951


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')