FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 05 Oct 2016 13:22:56 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t1475670229iwmo1a2rkxl5azb.htm/, Retrieved Sun, 05 May 2024 18:45:08 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 18:45:08 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99.6
96.1
109.0
99.5
104.6
99.9
94.1
105.3
110.4
110.5
110.0
108.5
101.5
99.0
106.2
97.6
103.7
103.4
99.9
105.0
103.4
117.8
110.6
102.0
105.1
98.5
104.4
103.9
105.8
100.3
106.3
101.4
104.3
114.6
105.0
103.4
102.9
96.4
102.6
104.7
100.8
102.1
101.1
98.1
109.2
114.4
104.0
107.2
101.3
98.1
109.6
105.9
99.5
109.9
105.3
102.5
111.9
118.0
112.1
113.8

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.53950179660531.67895989975057
0.0295.16916855473421.33666358371918
0.0395.80778925975851.09984397034103
0.0496.36664325226340.994223457197106
0.0596.8337605691620.947865437824454
0.0697.22641101195040.902825754283857
0.0797.56322300279470.847739180181159
0.0897.8573140588180.794067453790343
0.0998.11784752439760.753045763678734
0.198.35204979621840.726899973731605
0.1198.56582622139620.710203853691596
0.1298.76368335932940.696389642962323
0.1398.94876368339650.681562082615491
0.1499.12321334719650.665881674668446
0.1599.28870711613920.652063737218768
0.1699.44688115563390.643917365501692
0.1799.59953204818390.644231461133701
0.1899.74857869002860.653905027160967
0.1999.89587367470020.671646025682409
0.2100.0429766177520.6945878103059
0.21100.1909807627510.719223405656029
0.22100.3404417172940.742606841491338
0.23100.491414232330.762364076017584
0.24100.643571687680.777309396466802
0.25100.7963674697230.787484052851774
0.26100.9491963439970.793508530380445
0.27101.1015230263640.796736842255601
0.28101.2529594188770.798484839844359
0.29101.4032868657170.799937271050009
0.3101.5524319658810.801678303311976
0.31101.7004120907430.803928189273029
0.32101.8472693524450.806319741121268
0.33101.9930100363250.808198742771275
0.34102.1375618258850.808624810533219
0.35102.2807551254110.806906683412165
0.36102.4223288820220.802590297135213
0.37102.5619565812890.795159337008942
0.38102.6992851019830.784771571309715
0.39102.8339779788830.771663534772769
0.4102.965755118720.756487694010309
0.41103.0944227301530.739881563861911
0.42103.2198896754710.722838402166474
0.43103.3421691477870.705904493720501
0.44103.4613670994030.689722826111887
0.45103.5776608603130.674869865318412
0.46103.6912726665360.661209724950564
0.47103.8024432666840.648973574130205
0.48103.9114104197940.637892380431936
0.49104.0183960807150.627748422784427
0.5104.1236046168440.61823458300973
0.51104.2272327757810.609393977894224
0.52104.3294905802750.601057777441444
0.53104.4306310630650.593772600516273
0.54104.530985885110.587954552502539
0.55104.6310034277990.584412257584274
0.56104.7312858462350.584222295011055
0.57104.8326216826070.588619390984659
0.58104.9360107967470.598994245979856
0.59105.0426784155770.616736547385085
0.6105.1540749387080.643373326947097
0.61105.2718577906490.679798150523779
0.62105.3978512764450.727040372646916
0.63105.5339804515520.785447929812435
0.64105.682175960970.854702997428545
0.65105.8442491381190.933696809362279
0.66106.0217406841681.02013531574556
0.67106.2157518587691.11140594002878
0.68106.4267736055861.20296291396569
0.69106.6545351086421.29027956536273
0.7106.8978972159641.36780324731532
0.71107.1548162667181.43032499486115
0.72107.4223989670331.47299440931671
0.73107.6970590124561.49233931806503
0.74107.9747724583311.48651538015559
0.75108.2514139422951.45572546413738
0.76108.5231429539141.40254492434451
0.77108.7868012991211.33143398744853
0.78109.0402812804231.24888422006358
0.79109.2828284952981.16233983878386
0.8109.5152511862061.08023499979846
0.81109.7400162711331.01096103829586
0.82109.961217361230.962635437907692
0.83110.1844009783940.941955119876641
0.84110.4162359109520.953226903676326
0.85110.6640136489140.997119911803782
0.86110.9349864755231.0698100170498
0.87111.2355993986931.16346540513665
0.88111.5707663050411.26663710771477
0.89111.9434744332851.36579175947126
0.9112.3551168592491.44771305983579
0.91112.8068984444621.50390356260242
0.92113.3021896339551.53717160298685
0.93113.8486118881521.56765888894671
0.94114.457148313091.62878261412841
0.95115.1348414612171.7350242567372
0.96115.8698219652221.82859148700586
0.97116.6141915052541.76517452250777
0.98117.2794670314411.39891821705175
0.99117.7619731117180.757204668073411

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 94.5395017966053 & 1.67895989975057 \tabularnewline
0.02 & 95.1691685547342 & 1.33666358371918 \tabularnewline
0.03 & 95.8077892597585 & 1.09984397034103 \tabularnewline
0.04 & 96.3666432522634 & 0.994223457197106 \tabularnewline
0.05 & 96.833760569162 & 0.947865437824454 \tabularnewline
0.06 & 97.2264110119504 & 0.902825754283857 \tabularnewline
0.07 & 97.5632230027947 & 0.847739180181159 \tabularnewline
0.08 & 97.857314058818 & 0.794067453790343 \tabularnewline
0.09 & 98.1178475243976 & 0.753045763678734 \tabularnewline
0.1 & 98.3520497962184 & 0.726899973731605 \tabularnewline
0.11 & 98.5658262213962 & 0.710203853691596 \tabularnewline
0.12 & 98.7636833593294 & 0.696389642962323 \tabularnewline
0.13 & 98.9487636833965 & 0.681562082615491 \tabularnewline
0.14 & 99.1232133471965 & 0.665881674668446 \tabularnewline
0.15 & 99.2887071161392 & 0.652063737218768 \tabularnewline
0.16 & 99.4468811556339 & 0.643917365501692 \tabularnewline
0.17 & 99.5995320481839 & 0.644231461133701 \tabularnewline
0.18 & 99.7485786900286 & 0.653905027160967 \tabularnewline
0.19 & 99.8958736747002 & 0.671646025682409 \tabularnewline
0.2 & 100.042976617752 & 0.6945878103059 \tabularnewline
0.21 & 100.190980762751 & 0.719223405656029 \tabularnewline
0.22 & 100.340441717294 & 0.742606841491338 \tabularnewline
0.23 & 100.49141423233 & 0.762364076017584 \tabularnewline
0.24 & 100.64357168768 & 0.777309396466802 \tabularnewline
0.25 & 100.796367469723 & 0.787484052851774 \tabularnewline
0.26 & 100.949196343997 & 0.793508530380445 \tabularnewline
0.27 & 101.101523026364 & 0.796736842255601 \tabularnewline
0.28 & 101.252959418877 & 0.798484839844359 \tabularnewline
0.29 & 101.403286865717 & 0.799937271050009 \tabularnewline
0.3 & 101.552431965881 & 0.801678303311976 \tabularnewline
0.31 & 101.700412090743 & 0.803928189273029 \tabularnewline
0.32 & 101.847269352445 & 0.806319741121268 \tabularnewline
0.33 & 101.993010036325 & 0.808198742771275 \tabularnewline
0.34 & 102.137561825885 & 0.808624810533219 \tabularnewline
0.35 & 102.280755125411 & 0.806906683412165 \tabularnewline
0.36 & 102.422328882022 & 0.802590297135213 \tabularnewline
0.37 & 102.561956581289 & 0.795159337008942 \tabularnewline
0.38 & 102.699285101983 & 0.784771571309715 \tabularnewline
0.39 & 102.833977978883 & 0.771663534772769 \tabularnewline
0.4 & 102.96575511872 & 0.756487694010309 \tabularnewline
0.41 & 103.094422730153 & 0.739881563861911 \tabularnewline
0.42 & 103.219889675471 & 0.722838402166474 \tabularnewline
0.43 & 103.342169147787 & 0.705904493720501 \tabularnewline
0.44 & 103.461367099403 & 0.689722826111887 \tabularnewline
0.45 & 103.577660860313 & 0.674869865318412 \tabularnewline
0.46 & 103.691272666536 & 0.661209724950564 \tabularnewline
0.47 & 103.802443266684 & 0.648973574130205 \tabularnewline
0.48 & 103.911410419794 & 0.637892380431936 \tabularnewline
0.49 & 104.018396080715 & 0.627748422784427 \tabularnewline
0.5 & 104.123604616844 & 0.61823458300973 \tabularnewline
0.51 & 104.227232775781 & 0.609393977894224 \tabularnewline
0.52 & 104.329490580275 & 0.601057777441444 \tabularnewline
0.53 & 104.430631063065 & 0.593772600516273 \tabularnewline
0.54 & 104.53098588511 & 0.587954552502539 \tabularnewline
0.55 & 104.631003427799 & 0.584412257584274 \tabularnewline
0.56 & 104.731285846235 & 0.584222295011055 \tabularnewline
0.57 & 104.832621682607 & 0.588619390984659 \tabularnewline
0.58 & 104.936010796747 & 0.598994245979856 \tabularnewline
0.59 & 105.042678415577 & 0.616736547385085 \tabularnewline
0.6 & 105.154074938708 & 0.643373326947097 \tabularnewline
0.61 & 105.271857790649 & 0.679798150523779 \tabularnewline
0.62 & 105.397851276445 & 0.727040372646916 \tabularnewline
0.63 & 105.533980451552 & 0.785447929812435 \tabularnewline
0.64 & 105.68217596097 & 0.854702997428545 \tabularnewline
0.65 & 105.844249138119 & 0.933696809362279 \tabularnewline
0.66 & 106.021740684168 & 1.02013531574556 \tabularnewline
0.67 & 106.215751858769 & 1.11140594002878 \tabularnewline
0.68 & 106.426773605586 & 1.20296291396569 \tabularnewline
0.69 & 106.654535108642 & 1.29027956536273 \tabularnewline
0.7 & 106.897897215964 & 1.36780324731532 \tabularnewline
0.71 & 107.154816266718 & 1.43032499486115 \tabularnewline
0.72 & 107.422398967033 & 1.47299440931671 \tabularnewline
0.73 & 107.697059012456 & 1.49233931806503 \tabularnewline
0.74 & 107.974772458331 & 1.48651538015559 \tabularnewline
0.75 & 108.251413942295 & 1.45572546413738 \tabularnewline
0.76 & 108.523142953914 & 1.40254492434451 \tabularnewline
0.77 & 108.786801299121 & 1.33143398744853 \tabularnewline
0.78 & 109.040281280423 & 1.24888422006358 \tabularnewline
0.79 & 109.282828495298 & 1.16233983878386 \tabularnewline
0.8 & 109.515251186206 & 1.08023499979846 \tabularnewline
0.81 & 109.740016271133 & 1.01096103829586 \tabularnewline
0.82 & 109.96121736123 & 0.962635437907692 \tabularnewline
0.83 & 110.184400978394 & 0.941955119876641 \tabularnewline
0.84 & 110.416235910952 & 0.953226903676326 \tabularnewline
0.85 & 110.664013648914 & 0.997119911803782 \tabularnewline
0.86 & 110.934986475523 & 1.0698100170498 \tabularnewline
0.87 & 111.235599398693 & 1.16346540513665 \tabularnewline
0.88 & 111.570766305041 & 1.26663710771477 \tabularnewline
0.89 & 111.943474433285 & 1.36579175947126 \tabularnewline
0.9 & 112.355116859249 & 1.44771305983579 \tabularnewline
0.91 & 112.806898444462 & 1.50390356260242 \tabularnewline
0.92 & 113.302189633955 & 1.53717160298685 \tabularnewline
0.93 & 113.848611888152 & 1.56765888894671 \tabularnewline
0.94 & 114.45714831309 & 1.62878261412841 \tabularnewline
0.95 & 115.134841461217 & 1.7350242567372 \tabularnewline
0.96 & 115.869821965222 & 1.82859148700586 \tabularnewline
0.97 & 116.614191505254 & 1.76517452250777 \tabularnewline
0.98 & 117.279467031441 & 1.39891821705175 \tabularnewline
0.99 & 117.761973111718 & 0.757204668073411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]94.5395017966053[/C][C]1.67895989975057[/C][/ROW]
[ROW][C]0.02[/C][C]95.1691685547342[/C][C]1.33666358371918[/C][/ROW]
[ROW][C]0.03[/C][C]95.8077892597585[/C][C]1.09984397034103[/C][/ROW]
[ROW][C]0.04[/C][C]96.3666432522634[/C][C]0.994223457197106[/C][/ROW]
[ROW][C]0.05[/C][C]96.833760569162[/C][C]0.947865437824454[/C][/ROW]
[ROW][C]0.06[/C][C]97.2264110119504[/C][C]0.902825754283857[/C][/ROW]
[ROW][C]0.07[/C][C]97.5632230027947[/C][C]0.847739180181159[/C][/ROW]
[ROW][C]0.08[/C][C]97.857314058818[/C][C]0.794067453790343[/C][/ROW]
[ROW][C]0.09[/C][C]98.1178475243976[/C][C]0.753045763678734[/C][/ROW]
[ROW][C]0.1[/C][C]98.3520497962184[/C][C]0.726899973731605[/C][/ROW]
[ROW][C]0.11[/C][C]98.5658262213962[/C][C]0.710203853691596[/C][/ROW]
[ROW][C]0.12[/C][C]98.7636833593294[/C][C]0.696389642962323[/C][/ROW]
[ROW][C]0.13[/C][C]98.9487636833965[/C][C]0.681562082615491[/C][/ROW]
[ROW][C]0.14[/C][C]99.1232133471965[/C][C]0.665881674668446[/C][/ROW]
[ROW][C]0.15[/C][C]99.2887071161392[/C][C]0.652063737218768[/C][/ROW]
[ROW][C]0.16[/C][C]99.4468811556339[/C][C]0.643917365501692[/C][/ROW]
[ROW][C]0.17[/C][C]99.5995320481839[/C][C]0.644231461133701[/C][/ROW]
[ROW][C]0.18[/C][C]99.7485786900286[/C][C]0.653905027160967[/C][/ROW]
[ROW][C]0.19[/C][C]99.8958736747002[/C][C]0.671646025682409[/C][/ROW]
[ROW][C]0.2[/C][C]100.042976617752[/C][C]0.6945878103059[/C][/ROW]
[ROW][C]0.21[/C][C]100.190980762751[/C][C]0.719223405656029[/C][/ROW]
[ROW][C]0.22[/C][C]100.340441717294[/C][C]0.742606841491338[/C][/ROW]
[ROW][C]0.23[/C][C]100.49141423233[/C][C]0.762364076017584[/C][/ROW]
[ROW][C]0.24[/C][C]100.64357168768[/C][C]0.777309396466802[/C][/ROW]
[ROW][C]0.25[/C][C]100.796367469723[/C][C]0.787484052851774[/C][/ROW]
[ROW][C]0.26[/C][C]100.949196343997[/C][C]0.793508530380445[/C][/ROW]
[ROW][C]0.27[/C][C]101.101523026364[/C][C]0.796736842255601[/C][/ROW]
[ROW][C]0.28[/C][C]101.252959418877[/C][C]0.798484839844359[/C][/ROW]
[ROW][C]0.29[/C][C]101.403286865717[/C][C]0.799937271050009[/C][/ROW]
[ROW][C]0.3[/C][C]101.552431965881[/C][C]0.801678303311976[/C][/ROW]
[ROW][C]0.31[/C][C]101.700412090743[/C][C]0.803928189273029[/C][/ROW]
[ROW][C]0.32[/C][C]101.847269352445[/C][C]0.806319741121268[/C][/ROW]
[ROW][C]0.33[/C][C]101.993010036325[/C][C]0.808198742771275[/C][/ROW]
[ROW][C]0.34[/C][C]102.137561825885[/C][C]0.808624810533219[/C][/ROW]
[ROW][C]0.35[/C][C]102.280755125411[/C][C]0.806906683412165[/C][/ROW]
[ROW][C]0.36[/C][C]102.422328882022[/C][C]0.802590297135213[/C][/ROW]
[ROW][C]0.37[/C][C]102.561956581289[/C][C]0.795159337008942[/C][/ROW]
[ROW][C]0.38[/C][C]102.699285101983[/C][C]0.784771571309715[/C][/ROW]
[ROW][C]0.39[/C][C]102.833977978883[/C][C]0.771663534772769[/C][/ROW]
[ROW][C]0.4[/C][C]102.96575511872[/C][C]0.756487694010309[/C][/ROW]
[ROW][C]0.41[/C][C]103.094422730153[/C][C]0.739881563861911[/C][/ROW]
[ROW][C]0.42[/C][C]103.219889675471[/C][C]0.722838402166474[/C][/ROW]
[ROW][C]0.43[/C][C]103.342169147787[/C][C]0.705904493720501[/C][/ROW]
[ROW][C]0.44[/C][C]103.461367099403[/C][C]0.689722826111887[/C][/ROW]
[ROW][C]0.45[/C][C]103.577660860313[/C][C]0.674869865318412[/C][/ROW]
[ROW][C]0.46[/C][C]103.691272666536[/C][C]0.661209724950564[/C][/ROW]
[ROW][C]0.47[/C][C]103.802443266684[/C][C]0.648973574130205[/C][/ROW]
[ROW][C]0.48[/C][C]103.911410419794[/C][C]0.637892380431936[/C][/ROW]
[ROW][C]0.49[/C][C]104.018396080715[/C][C]0.627748422784427[/C][/ROW]
[ROW][C]0.5[/C][C]104.123604616844[/C][C]0.61823458300973[/C][/ROW]
[ROW][C]0.51[/C][C]104.227232775781[/C][C]0.609393977894224[/C][/ROW]
[ROW][C]0.52[/C][C]104.329490580275[/C][C]0.601057777441444[/C][/ROW]
[ROW][C]0.53[/C][C]104.430631063065[/C][C]0.593772600516273[/C][/ROW]
[ROW][C]0.54[/C][C]104.53098588511[/C][C]0.587954552502539[/C][/ROW]
[ROW][C]0.55[/C][C]104.631003427799[/C][C]0.584412257584274[/C][/ROW]
[ROW][C]0.56[/C][C]104.731285846235[/C][C]0.584222295011055[/C][/ROW]
[ROW][C]0.57[/C][C]104.832621682607[/C][C]0.588619390984659[/C][/ROW]
[ROW][C]0.58[/C][C]104.936010796747[/C][C]0.598994245979856[/C][/ROW]
[ROW][C]0.59[/C][C]105.042678415577[/C][C]0.616736547385085[/C][/ROW]
[ROW][C]0.6[/C][C]105.154074938708[/C][C]0.643373326947097[/C][/ROW]
[ROW][C]0.61[/C][C]105.271857790649[/C][C]0.679798150523779[/C][/ROW]
[ROW][C]0.62[/C][C]105.397851276445[/C][C]0.727040372646916[/C][/ROW]
[ROW][C]0.63[/C][C]105.533980451552[/C][C]0.785447929812435[/C][/ROW]
[ROW][C]0.64[/C][C]105.68217596097[/C][C]0.854702997428545[/C][/ROW]
[ROW][C]0.65[/C][C]105.844249138119[/C][C]0.933696809362279[/C][/ROW]
[ROW][C]0.66[/C][C]106.021740684168[/C][C]1.02013531574556[/C][/ROW]
[ROW][C]0.67[/C][C]106.215751858769[/C][C]1.11140594002878[/C][/ROW]
[ROW][C]0.68[/C][C]106.426773605586[/C][C]1.20296291396569[/C][/ROW]
[ROW][C]0.69[/C][C]106.654535108642[/C][C]1.29027956536273[/C][/ROW]
[ROW][C]0.7[/C][C]106.897897215964[/C][C]1.36780324731532[/C][/ROW]
[ROW][C]0.71[/C][C]107.154816266718[/C][C]1.43032499486115[/C][/ROW]
[ROW][C]0.72[/C][C]107.422398967033[/C][C]1.47299440931671[/C][/ROW]
[ROW][C]0.73[/C][C]107.697059012456[/C][C]1.49233931806503[/C][/ROW]
[ROW][C]0.74[/C][C]107.974772458331[/C][C]1.48651538015559[/C][/ROW]
[ROW][C]0.75[/C][C]108.251413942295[/C][C]1.45572546413738[/C][/ROW]
[ROW][C]0.76[/C][C]108.523142953914[/C][C]1.40254492434451[/C][/ROW]
[ROW][C]0.77[/C][C]108.786801299121[/C][C]1.33143398744853[/C][/ROW]
[ROW][C]0.78[/C][C]109.040281280423[/C][C]1.24888422006358[/C][/ROW]
[ROW][C]0.79[/C][C]109.282828495298[/C][C]1.16233983878386[/C][/ROW]
[ROW][C]0.8[/C][C]109.515251186206[/C][C]1.08023499979846[/C][/ROW]
[ROW][C]0.81[/C][C]109.740016271133[/C][C]1.01096103829586[/C][/ROW]
[ROW][C]0.82[/C][C]109.96121736123[/C][C]0.962635437907692[/C][/ROW]
[ROW][C]0.83[/C][C]110.184400978394[/C][C]0.941955119876641[/C][/ROW]
[ROW][C]0.84[/C][C]110.416235910952[/C][C]0.953226903676326[/C][/ROW]
[ROW][C]0.85[/C][C]110.664013648914[/C][C]0.997119911803782[/C][/ROW]
[ROW][C]0.86[/C][C]110.934986475523[/C][C]1.0698100170498[/C][/ROW]
[ROW][C]0.87[/C][C]111.235599398693[/C][C]1.16346540513665[/C][/ROW]
[ROW][C]0.88[/C][C]111.570766305041[/C][C]1.26663710771477[/C][/ROW]
[ROW][C]0.89[/C][C]111.943474433285[/C][C]1.36579175947126[/C][/ROW]
[ROW][C]0.9[/C][C]112.355116859249[/C][C]1.44771305983579[/C][/ROW]
[ROW][C]0.91[/C][C]112.806898444462[/C][C]1.50390356260242[/C][/ROW]
[ROW][C]0.92[/C][C]113.302189633955[/C][C]1.53717160298685[/C][/ROW]
[ROW][C]0.93[/C][C]113.848611888152[/C][C]1.56765888894671[/C][/ROW]
[ROW][C]0.94[/C][C]114.45714831309[/C][C]1.62878261412841[/C][/ROW]
[ROW][C]0.95[/C][C]115.134841461217[/C][C]1.7350242567372[/C][/ROW]
[ROW][C]0.96[/C][C]115.869821965222[/C][C]1.82859148700586[/C][/ROW]
[ROW][C]0.97[/C][C]116.614191505254[/C][C]1.76517452250777[/C][/ROW]
[ROW][C]0.98[/C][C]117.279467031441[/C][C]1.39891821705175[/C][/ROW]
[ROW][C]0.99[/C][C]117.761973111718[/C][C]0.757204668073411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.53950179660531.67895989975057
0.0295.16916855473421.33666358371918
0.0395.80778925975851.09984397034103
0.0496.36664325226340.994223457197106
0.0596.8337605691620.947865437824454
0.0697.22641101195040.902825754283857
0.0797.56322300279470.847739180181159
0.0897.8573140588180.794067453790343
0.0998.11784752439760.753045763678734
0.198.35204979621840.726899973731605
0.1198.56582622139620.710203853691596
0.1298.76368335932940.696389642962323
0.1398.94876368339650.681562082615491
0.1499.12321334719650.665881674668446
0.1599.28870711613920.652063737218768
0.1699.44688115563390.643917365501692
0.1799.59953204818390.644231461133701
0.1899.74857869002860.653905027160967
0.1999.89587367470020.671646025682409
0.2100.0429766177520.6945878103059
0.21100.1909807627510.719223405656029
0.22100.3404417172940.742606841491338
0.23100.491414232330.762364076017584
0.24100.643571687680.777309396466802
0.25100.7963674697230.787484052851774
0.26100.9491963439970.793508530380445
0.27101.1015230263640.796736842255601
0.28101.2529594188770.798484839844359
0.29101.4032868657170.799937271050009
0.3101.5524319658810.801678303311976
0.31101.7004120907430.803928189273029
0.32101.8472693524450.806319741121268
0.33101.9930100363250.808198742771275
0.34102.1375618258850.808624810533219
0.35102.2807551254110.806906683412165
0.36102.4223288820220.802590297135213
0.37102.5619565812890.795159337008942
0.38102.6992851019830.784771571309715
0.39102.8339779788830.771663534772769
0.4102.965755118720.756487694010309
0.41103.0944227301530.739881563861911
0.42103.2198896754710.722838402166474
0.43103.3421691477870.705904493720501
0.44103.4613670994030.689722826111887
0.45103.5776608603130.674869865318412
0.46103.6912726665360.661209724950564
0.47103.8024432666840.648973574130205
0.48103.9114104197940.637892380431936
0.49104.0183960807150.627748422784427
0.5104.1236046168440.61823458300973
0.51104.2272327757810.609393977894224
0.52104.3294905802750.601057777441444
0.53104.4306310630650.593772600516273
0.54104.530985885110.587954552502539
0.55104.6310034277990.584412257584274
0.56104.7312858462350.584222295011055
0.57104.8326216826070.588619390984659
0.58104.9360107967470.598994245979856
0.59105.0426784155770.616736547385085
0.6105.1540749387080.643373326947097
0.61105.2718577906490.679798150523779
0.62105.3978512764450.727040372646916
0.63105.5339804515520.785447929812435
0.64105.682175960970.854702997428545
0.65105.8442491381190.933696809362279
0.66106.0217406841681.02013531574556
0.67106.2157518587691.11140594002878
0.68106.4267736055861.20296291396569
0.69106.6545351086421.29027956536273
0.7106.8978972159641.36780324731532
0.71107.1548162667181.43032499486115
0.72107.4223989670331.47299440931671
0.73107.6970590124561.49233931806503
0.74107.9747724583311.48651538015559
0.75108.2514139422951.45572546413738
0.76108.5231429539141.40254492434451
0.77108.7868012991211.33143398744853
0.78109.0402812804231.24888422006358
0.79109.2828284952981.16233983878386
0.8109.5152511862061.08023499979846
0.81109.7400162711331.01096103829586
0.82109.961217361230.962635437907692
0.83110.1844009783940.941955119876641
0.84110.4162359109520.953226903676326
0.85110.6640136489140.997119911803782
0.86110.9349864755231.0698100170498
0.87111.2355993986931.16346540513665
0.88111.5707663050411.26663710771477
0.89111.9434744332851.36579175947126
0.9112.3551168592491.44771305983579
0.91112.8068984444621.50390356260242
0.92113.3021896339551.53717160298685
0.93113.8486118881521.56765888894671
0.94114.457148313091.62878261412841
0.95115.1348414612171.7350242567372
0.96115.8698219652221.82859148700586
0.97116.6141915052541.76517452250777
0.98117.2794670314411.39891821705175
0.99117.7619731117180.757204668073411


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')