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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 15 Oct 2009 11:39:45 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/15/t1255628436uq84kwd93ctyvk4.htm/, Retrieved Sat, 04 May 2024 15:28:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46824, Retrieved Sat, 04 May 2024 15:28:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact112
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen brui...] [2009-10-15 17:39:45] [5429fe6e3351c98316e03e842ad8f5e4] [Current]
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Dataseries X:
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,44
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,57
1,58
1,58
1,58
1,58
1,59
1,6
1,6
1,61
1,61
1,61
1,62
1,63
1,63
1,64
1,64
1,64
1,64
1,64
1,65
1,65
1,65
1,65
1,65
1,66
1,66
1,67
1,68
1,68
1,68
1,68
1,69
1,7
1,7
1,71
1,72
1,73
1,74
1,74
1,75
1,75
1,75
1,76
1,79
1,83
1,84
1,85
1,87
1,87
1,87
1,88
1,88
1,88
1,88
1,89
1,89
1,89
1,9
1,89




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46824&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]1 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=46824&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46824&T=0

As an alternative you can also use a 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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.380000000001800
0.021.380000000093510
0.031.380000002038130
0.041.380000026250270
0.051.380000231169411.55263809639241e-06
0.061.380001510140687.76319048196207e-06
0.071.380007711064883.51931301848947e-05
0.081.380031924002810.000130421600096963
0.091.380110113733880.000398510444740719
0.11.380323209946660.00103146924203669
0.111.380821270937060.00228962364614668
0.121.381832612250720.00441880802233281
0.131.383635895264010.00749561918335044
0.141.386484768966490.0112736102655451
0.151.390502991815450.0151448545832726
0.161.395596226639230.0182955846291349
0.171.401431164421360.0199882455796012
0.181.407503769146320.0198483838203263
0.191.413272487188410.0180035347190251
0.21.418299774056990.0149967848788200
0.211.422346527660510.0115671041253096
0.221.425394224763350.0084065554122199
0.231.427605859226520.00602527661805416
0.241.429257507934450.00476060562502387
0.251.430670977177460.00480562516495131
0.261.432162826904750.00606234252524394
0.271.434009465163320.00822381257568385
0.281.436420807996020.0109696447216416
0.291.439517199254600.0139277334290432
0.31.443311175028650.0166664830959248
0.311.447701141665210.0187539541443893
0.321.452484180204590.0198404690122003
0.331.457389791422590.0197478431063123
0.341.462128486071340.0185079728065143
0.351.466442985258240.0163479240420763
0.361.470148566253890.0136196520823319
0.371.473153215827330.0107115993279160
0.381.475455539635200.00796081802738785
0.391.477125438030080.00560142129413139
0.41.478276679681390.00374959726762525
0.411.479040790527450.00242833044918276
0.421.479549017139940.00161320221082678
0.431.479925271178060.00130150797625784
0.441.480289451074790.00155537844607063
0.451.480768085939460.00240237779374003
0.461.481507807988040.00392099896291182
0.471.482686407916630.00625808234655468
0.481.484516072020640.00955736657464722
0.491.487234189023220.0138904820643712
0.51.491079399420490.0191923521653095
0.511.496254539686030.0252092352887232
0.521.502883117154740.031501171898842
0.531.510970243171510.0374862359796122
0.541.520380405881360.0425376236658785
0.551.530841570831350.0461147173472245
0.561.541978052580150.0478849209592343
0.571.553365643107380.0477825422724905
0.581.564595117458960.0460319549005956
0.591.575327608997050.0430528066204598
0.61.585328637175250.0393612795637125
0.611.59447535256230.0354414677186316
0.621.602740511265180.0316489393389687
0.631.610163229293470.0281896220422445
0.641.616818517613220.0251300242535137
0.651.622794961515060.0224554099878808
0.661.628184515973520.0201463511452581
0.671.633082797792950.0182073149323568
0.681.637594562989180.0166838300695740
0.691.641838207215650.0156472536041064
0.71.645944863472540.0151523019246827
0.711.650050941743320.0152004089111364
0.721.654286396459060.0157243568164044
0.731.658763304139410.0166045173211673
0.741.663569487143250.0177129413015164
0.751.668769605398390.0189446263896499
0.761.674412139375770.0202530596660045
0.771.680537044191290.0216311210870595
0.781.687178225486040.0230649460571641
0.791.694359115418780.0245031105750046
0.81.702087534128730.0258571414221640
0.811.710363115223440.0270545065709039
0.821.719209818110560.0281658844863965
0.831.728731816281030.0294956291619564
0.841.739165042870750.0315495485017052
0.851.750872897945140.0347599601495758
0.861.764237163315600.0390268734069969
0.871.779442861187830.0434218359087337
0.881.796237789279080.0463717346549943
0.891.813811230005740.0463159151676179
0.91.830914718661690.042497513871789
0.911.846222306846200.0354397756868379
0.921.858772981368150.0267567029229032
0.931.868276182979910.0184276168034455
0.941.875136956201250.0119956302130575
0.951.880178559551710.0080810112435435
0.961.884150385624150.00605170875487374
0.971.887380246031010.00434971030168211
0.981.890347106333080.00284365786266929
0.991.894819933406370.0051524682213538

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.38000000000180 & 0 \tabularnewline
0.02 & 1.38000000009351 & 0 \tabularnewline
0.03 & 1.38000000203813 & 0 \tabularnewline
0.04 & 1.38000002625027 & 0 \tabularnewline
0.05 & 1.38000023116941 & 1.55263809639241e-06 \tabularnewline
0.06 & 1.38000151014068 & 7.76319048196207e-06 \tabularnewline
0.07 & 1.38000771106488 & 3.51931301848947e-05 \tabularnewline
0.08 & 1.38003192400281 & 0.000130421600096963 \tabularnewline
0.09 & 1.38011011373388 & 0.000398510444740719 \tabularnewline
0.1 & 1.38032320994666 & 0.00103146924203669 \tabularnewline
0.11 & 1.38082127093706 & 0.00228962364614668 \tabularnewline
0.12 & 1.38183261225072 & 0.00441880802233281 \tabularnewline
0.13 & 1.38363589526401 & 0.00749561918335044 \tabularnewline
0.14 & 1.38648476896649 & 0.0112736102655451 \tabularnewline
0.15 & 1.39050299181545 & 0.0151448545832726 \tabularnewline
0.16 & 1.39559622663923 & 0.0182955846291349 \tabularnewline
0.17 & 1.40143116442136 & 0.0199882455796012 \tabularnewline
0.18 & 1.40750376914632 & 0.0198483838203263 \tabularnewline
0.19 & 1.41327248718841 & 0.0180035347190251 \tabularnewline
0.2 & 1.41829977405699 & 0.0149967848788200 \tabularnewline
0.21 & 1.42234652766051 & 0.0115671041253096 \tabularnewline
0.22 & 1.42539422476335 & 0.0084065554122199 \tabularnewline
0.23 & 1.42760585922652 & 0.00602527661805416 \tabularnewline
0.24 & 1.42925750793445 & 0.00476060562502387 \tabularnewline
0.25 & 1.43067097717746 & 0.00480562516495131 \tabularnewline
0.26 & 1.43216282690475 & 0.00606234252524394 \tabularnewline
0.27 & 1.43400946516332 & 0.00822381257568385 \tabularnewline
0.28 & 1.43642080799602 & 0.0109696447216416 \tabularnewline
0.29 & 1.43951719925460 & 0.0139277334290432 \tabularnewline
0.3 & 1.44331117502865 & 0.0166664830959248 \tabularnewline
0.31 & 1.44770114166521 & 0.0187539541443893 \tabularnewline
0.32 & 1.45248418020459 & 0.0198404690122003 \tabularnewline
0.33 & 1.45738979142259 & 0.0197478431063123 \tabularnewline
0.34 & 1.46212848607134 & 0.0185079728065143 \tabularnewline
0.35 & 1.46644298525824 & 0.0163479240420763 \tabularnewline
0.36 & 1.47014856625389 & 0.0136196520823319 \tabularnewline
0.37 & 1.47315321582733 & 0.0107115993279160 \tabularnewline
0.38 & 1.47545553963520 & 0.00796081802738785 \tabularnewline
0.39 & 1.47712543803008 & 0.00560142129413139 \tabularnewline
0.4 & 1.47827667968139 & 0.00374959726762525 \tabularnewline
0.41 & 1.47904079052745 & 0.00242833044918276 \tabularnewline
0.42 & 1.47954901713994 & 0.00161320221082678 \tabularnewline
0.43 & 1.47992527117806 & 0.00130150797625784 \tabularnewline
0.44 & 1.48028945107479 & 0.00155537844607063 \tabularnewline
0.45 & 1.48076808593946 & 0.00240237779374003 \tabularnewline
0.46 & 1.48150780798804 & 0.00392099896291182 \tabularnewline
0.47 & 1.48268640791663 & 0.00625808234655468 \tabularnewline
0.48 & 1.48451607202064 & 0.00955736657464722 \tabularnewline
0.49 & 1.48723418902322 & 0.0138904820643712 \tabularnewline
0.5 & 1.49107939942049 & 0.0191923521653095 \tabularnewline
0.51 & 1.49625453968603 & 0.0252092352887232 \tabularnewline
0.52 & 1.50288311715474 & 0.031501171898842 \tabularnewline
0.53 & 1.51097024317151 & 0.0374862359796122 \tabularnewline
0.54 & 1.52038040588136 & 0.0425376236658785 \tabularnewline
0.55 & 1.53084157083135 & 0.0461147173472245 \tabularnewline
0.56 & 1.54197805258015 & 0.0478849209592343 \tabularnewline
0.57 & 1.55336564310738 & 0.0477825422724905 \tabularnewline
0.58 & 1.56459511745896 & 0.0460319549005956 \tabularnewline
0.59 & 1.57532760899705 & 0.0430528066204598 \tabularnewline
0.6 & 1.58532863717525 & 0.0393612795637125 \tabularnewline
0.61 & 1.5944753525623 & 0.0354414677186316 \tabularnewline
0.62 & 1.60274051126518 & 0.0316489393389687 \tabularnewline
0.63 & 1.61016322929347 & 0.0281896220422445 \tabularnewline
0.64 & 1.61681851761322 & 0.0251300242535137 \tabularnewline
0.65 & 1.62279496151506 & 0.0224554099878808 \tabularnewline
0.66 & 1.62818451597352 & 0.0201463511452581 \tabularnewline
0.67 & 1.63308279779295 & 0.0182073149323568 \tabularnewline
0.68 & 1.63759456298918 & 0.0166838300695740 \tabularnewline
0.69 & 1.64183820721565 & 0.0156472536041064 \tabularnewline
0.7 & 1.64594486347254 & 0.0151523019246827 \tabularnewline
0.71 & 1.65005094174332 & 0.0152004089111364 \tabularnewline
0.72 & 1.65428639645906 & 0.0157243568164044 \tabularnewline
0.73 & 1.65876330413941 & 0.0166045173211673 \tabularnewline
0.74 & 1.66356948714325 & 0.0177129413015164 \tabularnewline
0.75 & 1.66876960539839 & 0.0189446263896499 \tabularnewline
0.76 & 1.67441213937577 & 0.0202530596660045 \tabularnewline
0.77 & 1.68053704419129 & 0.0216311210870595 \tabularnewline
0.78 & 1.68717822548604 & 0.0230649460571641 \tabularnewline
0.79 & 1.69435911541878 & 0.0245031105750046 \tabularnewline
0.8 & 1.70208753412873 & 0.0258571414221640 \tabularnewline
0.81 & 1.71036311522344 & 0.0270545065709039 \tabularnewline
0.82 & 1.71920981811056 & 0.0281658844863965 \tabularnewline
0.83 & 1.72873181628103 & 0.0294956291619564 \tabularnewline
0.84 & 1.73916504287075 & 0.0315495485017052 \tabularnewline
0.85 & 1.75087289794514 & 0.0347599601495758 \tabularnewline
0.86 & 1.76423716331560 & 0.0390268734069969 \tabularnewline
0.87 & 1.77944286118783 & 0.0434218359087337 \tabularnewline
0.88 & 1.79623778927908 & 0.0463717346549943 \tabularnewline
0.89 & 1.81381123000574 & 0.0463159151676179 \tabularnewline
0.9 & 1.83091471866169 & 0.042497513871789 \tabularnewline
0.91 & 1.84622230684620 & 0.0354397756868379 \tabularnewline
0.92 & 1.85877298136815 & 0.0267567029229032 \tabularnewline
0.93 & 1.86827618297991 & 0.0184276168034455 \tabularnewline
0.94 & 1.87513695620125 & 0.0119956302130575 \tabularnewline
0.95 & 1.88017855955171 & 0.0080810112435435 \tabularnewline
0.96 & 1.88415038562415 & 0.00605170875487374 \tabularnewline
0.97 & 1.88738024603101 & 0.00434971030168211 \tabularnewline
0.98 & 1.89034710633308 & 0.00284365786266929 \tabularnewline
0.99 & 1.89481993340637 & 0.0051524682213538 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46824&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]1.38000000000180[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]1.38000000009351[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]1.38000000203813[/C][C]0[/C][/ROW]
[ROW][C]0.04[/C][C]1.38000002625027[/C][C]0[/C][/ROW]
[ROW][C]0.05[/C][C]1.38000023116941[/C][C]1.55263809639241e-06[/C][/ROW]
[ROW][C]0.06[/C][C]1.38000151014068[/C][C]7.76319048196207e-06[/C][/ROW]
[ROW][C]0.07[/C][C]1.38000771106488[/C][C]3.51931301848947e-05[/C][/ROW]
[ROW][C]0.08[/C][C]1.38003192400281[/C][C]0.000130421600096963[/C][/ROW]
[ROW][C]0.09[/C][C]1.38011011373388[/C][C]0.000398510444740719[/C][/ROW]
[ROW][C]0.1[/C][C]1.38032320994666[/C][C]0.00103146924203669[/C][/ROW]
[ROW][C]0.11[/C][C]1.38082127093706[/C][C]0.00228962364614668[/C][/ROW]
[ROW][C]0.12[/C][C]1.38183261225072[/C][C]0.00441880802233281[/C][/ROW]
[ROW][C]0.13[/C][C]1.38363589526401[/C][C]0.00749561918335044[/C][/ROW]
[ROW][C]0.14[/C][C]1.38648476896649[/C][C]0.0112736102655451[/C][/ROW]
[ROW][C]0.15[/C][C]1.39050299181545[/C][C]0.0151448545832726[/C][/ROW]
[ROW][C]0.16[/C][C]1.39559622663923[/C][C]0.0182955846291349[/C][/ROW]
[ROW][C]0.17[/C][C]1.40143116442136[/C][C]0.0199882455796012[/C][/ROW]
[ROW][C]0.18[/C][C]1.40750376914632[/C][C]0.0198483838203263[/C][/ROW]
[ROW][C]0.19[/C][C]1.41327248718841[/C][C]0.0180035347190251[/C][/ROW]
[ROW][C]0.2[/C][C]1.41829977405699[/C][C]0.0149967848788200[/C][/ROW]
[ROW][C]0.21[/C][C]1.42234652766051[/C][C]0.0115671041253096[/C][/ROW]
[ROW][C]0.22[/C][C]1.42539422476335[/C][C]0.0084065554122199[/C][/ROW]
[ROW][C]0.23[/C][C]1.42760585922652[/C][C]0.00602527661805416[/C][/ROW]
[ROW][C]0.24[/C][C]1.42925750793445[/C][C]0.00476060562502387[/C][/ROW]
[ROW][C]0.25[/C][C]1.43067097717746[/C][C]0.00480562516495131[/C][/ROW]
[ROW][C]0.26[/C][C]1.43216282690475[/C][C]0.00606234252524394[/C][/ROW]
[ROW][C]0.27[/C][C]1.43400946516332[/C][C]0.00822381257568385[/C][/ROW]
[ROW][C]0.28[/C][C]1.43642080799602[/C][C]0.0109696447216416[/C][/ROW]
[ROW][C]0.29[/C][C]1.43951719925460[/C][C]0.0139277334290432[/C][/ROW]
[ROW][C]0.3[/C][C]1.44331117502865[/C][C]0.0166664830959248[/C][/ROW]
[ROW][C]0.31[/C][C]1.44770114166521[/C][C]0.0187539541443893[/C][/ROW]
[ROW][C]0.32[/C][C]1.45248418020459[/C][C]0.0198404690122003[/C][/ROW]
[ROW][C]0.33[/C][C]1.45738979142259[/C][C]0.0197478431063123[/C][/ROW]
[ROW][C]0.34[/C][C]1.46212848607134[/C][C]0.0185079728065143[/C][/ROW]
[ROW][C]0.35[/C][C]1.46644298525824[/C][C]0.0163479240420763[/C][/ROW]
[ROW][C]0.36[/C][C]1.47014856625389[/C][C]0.0136196520823319[/C][/ROW]
[ROW][C]0.37[/C][C]1.47315321582733[/C][C]0.0107115993279160[/C][/ROW]
[ROW][C]0.38[/C][C]1.47545553963520[/C][C]0.00796081802738785[/C][/ROW]
[ROW][C]0.39[/C][C]1.47712543803008[/C][C]0.00560142129413139[/C][/ROW]
[ROW][C]0.4[/C][C]1.47827667968139[/C][C]0.00374959726762525[/C][/ROW]
[ROW][C]0.41[/C][C]1.47904079052745[/C][C]0.00242833044918276[/C][/ROW]
[ROW][C]0.42[/C][C]1.47954901713994[/C][C]0.00161320221082678[/C][/ROW]
[ROW][C]0.43[/C][C]1.47992527117806[/C][C]0.00130150797625784[/C][/ROW]
[ROW][C]0.44[/C][C]1.48028945107479[/C][C]0.00155537844607063[/C][/ROW]
[ROW][C]0.45[/C][C]1.48076808593946[/C][C]0.00240237779374003[/C][/ROW]
[ROW][C]0.46[/C][C]1.48150780798804[/C][C]0.00392099896291182[/C][/ROW]
[ROW][C]0.47[/C][C]1.48268640791663[/C][C]0.00625808234655468[/C][/ROW]
[ROW][C]0.48[/C][C]1.48451607202064[/C][C]0.00955736657464722[/C][/ROW]
[ROW][C]0.49[/C][C]1.48723418902322[/C][C]0.0138904820643712[/C][/ROW]
[ROW][C]0.5[/C][C]1.49107939942049[/C][C]0.0191923521653095[/C][/ROW]
[ROW][C]0.51[/C][C]1.49625453968603[/C][C]0.0252092352887232[/C][/ROW]
[ROW][C]0.52[/C][C]1.50288311715474[/C][C]0.031501171898842[/C][/ROW]
[ROW][C]0.53[/C][C]1.51097024317151[/C][C]0.0374862359796122[/C][/ROW]
[ROW][C]0.54[/C][C]1.52038040588136[/C][C]0.0425376236658785[/C][/ROW]
[ROW][C]0.55[/C][C]1.53084157083135[/C][C]0.0461147173472245[/C][/ROW]
[ROW][C]0.56[/C][C]1.54197805258015[/C][C]0.0478849209592343[/C][/ROW]
[ROW][C]0.57[/C][C]1.55336564310738[/C][C]0.0477825422724905[/C][/ROW]
[ROW][C]0.58[/C][C]1.56459511745896[/C][C]0.0460319549005956[/C][/ROW]
[ROW][C]0.59[/C][C]1.57532760899705[/C][C]0.0430528066204598[/C][/ROW]
[ROW][C]0.6[/C][C]1.58532863717525[/C][C]0.0393612795637125[/C][/ROW]
[ROW][C]0.61[/C][C]1.5944753525623[/C][C]0.0354414677186316[/C][/ROW]
[ROW][C]0.62[/C][C]1.60274051126518[/C][C]0.0316489393389687[/C][/ROW]
[ROW][C]0.63[/C][C]1.61016322929347[/C][C]0.0281896220422445[/C][/ROW]
[ROW][C]0.64[/C][C]1.61681851761322[/C][C]0.0251300242535137[/C][/ROW]
[ROW][C]0.65[/C][C]1.62279496151506[/C][C]0.0224554099878808[/C][/ROW]
[ROW][C]0.66[/C][C]1.62818451597352[/C][C]0.0201463511452581[/C][/ROW]
[ROW][C]0.67[/C][C]1.63308279779295[/C][C]0.0182073149323568[/C][/ROW]
[ROW][C]0.68[/C][C]1.63759456298918[/C][C]0.0166838300695740[/C][/ROW]
[ROW][C]0.69[/C][C]1.64183820721565[/C][C]0.0156472536041064[/C][/ROW]
[ROW][C]0.7[/C][C]1.64594486347254[/C][C]0.0151523019246827[/C][/ROW]
[ROW][C]0.71[/C][C]1.65005094174332[/C][C]0.0152004089111364[/C][/ROW]
[ROW][C]0.72[/C][C]1.65428639645906[/C][C]0.0157243568164044[/C][/ROW]
[ROW][C]0.73[/C][C]1.65876330413941[/C][C]0.0166045173211673[/C][/ROW]
[ROW][C]0.74[/C][C]1.66356948714325[/C][C]0.0177129413015164[/C][/ROW]
[ROW][C]0.75[/C][C]1.66876960539839[/C][C]0.0189446263896499[/C][/ROW]
[ROW][C]0.76[/C][C]1.67441213937577[/C][C]0.0202530596660045[/C][/ROW]
[ROW][C]0.77[/C][C]1.68053704419129[/C][C]0.0216311210870595[/C][/ROW]
[ROW][C]0.78[/C][C]1.68717822548604[/C][C]0.0230649460571641[/C][/ROW]
[ROW][C]0.79[/C][C]1.69435911541878[/C][C]0.0245031105750046[/C][/ROW]
[ROW][C]0.8[/C][C]1.70208753412873[/C][C]0.0258571414221640[/C][/ROW]
[ROW][C]0.81[/C][C]1.71036311522344[/C][C]0.0270545065709039[/C][/ROW]
[ROW][C]0.82[/C][C]1.71920981811056[/C][C]0.0281658844863965[/C][/ROW]
[ROW][C]0.83[/C][C]1.72873181628103[/C][C]0.0294956291619564[/C][/ROW]
[ROW][C]0.84[/C][C]1.73916504287075[/C][C]0.0315495485017052[/C][/ROW]
[ROW][C]0.85[/C][C]1.75087289794514[/C][C]0.0347599601495758[/C][/ROW]
[ROW][C]0.86[/C][C]1.76423716331560[/C][C]0.0390268734069969[/C][/ROW]
[ROW][C]0.87[/C][C]1.77944286118783[/C][C]0.0434218359087337[/C][/ROW]
[ROW][C]0.88[/C][C]1.79623778927908[/C][C]0.0463717346549943[/C][/ROW]
[ROW][C]0.89[/C][C]1.81381123000574[/C][C]0.0463159151676179[/C][/ROW]
[ROW][C]0.9[/C][C]1.83091471866169[/C][C]0.042497513871789[/C][/ROW]
[ROW][C]0.91[/C][C]1.84622230684620[/C][C]0.0354397756868379[/C][/ROW]
[ROW][C]0.92[/C][C]1.85877298136815[/C][C]0.0267567029229032[/C][/ROW]
[ROW][C]0.93[/C][C]1.86827618297991[/C][C]0.0184276168034455[/C][/ROW]
[ROW][C]0.94[/C][C]1.87513695620125[/C][C]0.0119956302130575[/C][/ROW]
[ROW][C]0.95[/C][C]1.88017855955171[/C][C]0.0080810112435435[/C][/ROW]
[ROW][C]0.96[/C][C]1.88415038562415[/C][C]0.00605170875487374[/C][/ROW]
[ROW][C]0.97[/C][C]1.88738024603101[/C][C]0.00434971030168211[/C][/ROW]
[ROW][C]0.98[/C][C]1.89034710633308[/C][C]0.00284365786266929[/C][/ROW]
[ROW][C]0.99[/C][C]1.89481993340637[/C][C]0.0051524682213538[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46824&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46824&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.380000000001800
0.021.380000000093510
0.031.380000002038130
0.041.380000026250270
0.051.380000231169411.55263809639241e-06
0.061.380001510140687.76319048196207e-06
0.071.380007711064883.51931301848947e-05
0.081.380031924002810.000130421600096963
0.091.380110113733880.000398510444740719
0.11.380323209946660.00103146924203669
0.111.380821270937060.00228962364614668
0.121.381832612250720.00441880802233281
0.131.383635895264010.00749561918335044
0.141.386484768966490.0112736102655451
0.151.390502991815450.0151448545832726
0.161.395596226639230.0182955846291349
0.171.401431164421360.0199882455796012
0.181.407503769146320.0198483838203263
0.191.413272487188410.0180035347190251
0.21.418299774056990.0149967848788200
0.211.422346527660510.0115671041253096
0.221.425394224763350.0084065554122199
0.231.427605859226520.00602527661805416
0.241.429257507934450.00476060562502387
0.251.430670977177460.00480562516495131
0.261.432162826904750.00606234252524394
0.271.434009465163320.00822381257568385
0.281.436420807996020.0109696447216416
0.291.439517199254600.0139277334290432
0.31.443311175028650.0166664830959248
0.311.447701141665210.0187539541443893
0.321.452484180204590.0198404690122003
0.331.457389791422590.0197478431063123
0.341.462128486071340.0185079728065143
0.351.466442985258240.0163479240420763
0.361.470148566253890.0136196520823319
0.371.473153215827330.0107115993279160
0.381.475455539635200.00796081802738785
0.391.477125438030080.00560142129413139
0.41.478276679681390.00374959726762525
0.411.479040790527450.00242833044918276
0.421.479549017139940.00161320221082678
0.431.479925271178060.00130150797625784
0.441.480289451074790.00155537844607063
0.451.480768085939460.00240237779374003
0.461.481507807988040.00392099896291182
0.471.482686407916630.00625808234655468
0.481.484516072020640.00955736657464722
0.491.487234189023220.0138904820643712
0.51.491079399420490.0191923521653095
0.511.496254539686030.0252092352887232
0.521.502883117154740.031501171898842
0.531.510970243171510.0374862359796122
0.541.520380405881360.0425376236658785
0.551.530841570831350.0461147173472245
0.561.541978052580150.0478849209592343
0.571.553365643107380.0477825422724905
0.581.564595117458960.0460319549005956
0.591.575327608997050.0430528066204598
0.61.585328637175250.0393612795637125
0.611.59447535256230.0354414677186316
0.621.602740511265180.0316489393389687
0.631.610163229293470.0281896220422445
0.641.616818517613220.0251300242535137
0.651.622794961515060.0224554099878808
0.661.628184515973520.0201463511452581
0.671.633082797792950.0182073149323568
0.681.637594562989180.0166838300695740
0.691.641838207215650.0156472536041064
0.71.645944863472540.0151523019246827
0.711.650050941743320.0152004089111364
0.721.654286396459060.0157243568164044
0.731.658763304139410.0166045173211673
0.741.663569487143250.0177129413015164
0.751.668769605398390.0189446263896499
0.761.674412139375770.0202530596660045
0.771.680537044191290.0216311210870595
0.781.687178225486040.0230649460571641
0.791.694359115418780.0245031105750046
0.81.702087534128730.0258571414221640
0.811.710363115223440.0270545065709039
0.821.719209818110560.0281658844863965
0.831.728731816281030.0294956291619564
0.841.739165042870750.0315495485017052
0.851.750872897945140.0347599601495758
0.861.764237163315600.0390268734069969
0.871.779442861187830.0434218359087337
0.881.796237789279080.0463717346549943
0.891.813811230005740.0463159151676179
0.91.830914718661690.042497513871789
0.911.846222306846200.0354397756868379
0.921.858772981368150.0267567029229032
0.931.868276182979910.0184276168034455
0.941.875136956201250.0119956302130575
0.951.880178559551710.0080810112435435
0.961.884150385624150.00605170875487374
0.971.887380246031010.00434971030168211
0.981.890347106333080.00284365786266929
0.991.894819933406370.0051524682213538



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')