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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 computationTue, 12 Oct 2010 11:34:53 +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/12/t12868832640qtq521uco3933g.htm/, Retrieved Tue, 30 Apr 2024 19:19:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82855, Retrieved Tue, 30 Apr 2024 19:19:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact107

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [boxplot maximumpr...] [2010-10-12 10:52:03] [c4ce808c07ea53ce320aeb10407b1705]
- RM D    [Harrell-Davis Quantiles] [meetuitslagen Con...] [2010-10-12 11:34:53] [6828a15931dcaf58ef367cb5857a54a7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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'George Udny Yule' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82855&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82855&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82855&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' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.20430603382091.01256808398652
0.0297.58660357829210.70794987042254
0.0397.9354678900970.486588599064677
0.0498.20735473456780.396383976947095
0.0598.4176227982040.396119623202712
0.0698.59456404113630.42574200079476
0.0798.75764240169330.455637009858396
0.0898.9153989547910.47723720988249
0.0999.0699528973440.490358172858407
0.199.22110766326550.498193479993313
0.1199.36851163509350.504793726429808
0.1299.51236573536850.513626723880495
0.1399.6533816464940.526281706545559
0.1499.79245233148070.54215701570532
0.1599.93029398762320.558836425750929
0.16100.0672015368420.573174383835109
0.17100.2029801936910.582496941655759
0.18100.3370491930490.585376564285176
0.19100.4686630336940.582217169105988
0.2100.5971697423620.574754183556808
0.21100.7222275184440.565866708802506
0.22100.8439248013950.558791949345257
0.23100.9627830773440.556104677365297
0.24101.0796548314340.559367939094782
0.25101.1955523771090.56884375887676
0.26101.3114531516600.58304310477636
0.27101.4281243412330.600106426045187
0.28101.5459982718190.617420808300955
0.29101.6651147771780.632370634719727
0.3101.7851320092200.64310610683421
0.31101.9053956438400.648065126185265
0.32102.0250492470140.646709454486531
0.33102.1431655294400.639088448956682
0.34102.2588784976760.625950339251576
0.35102.3714991301720.608941011904311
0.36102.4806013476970.589706049108478
0.37102.5860701041140.570617715272367
0.38102.6881089140090.553538040243498
0.39102.7872095787530.540498669406459
0.4102.8840917285420.532669915677033
0.41102.9796234864460.530621421220467
0.42103.0747365723250.53444757327177
0.43103.1703491887570.543498005136554
0.44103.2673080533310.556918303740901
0.45103.3663572734880.573552955675134
0.46103.4681369911590.592710494098809
0.47103.5732096136930.613990485916237
0.48103.6821067849740.637289747020225
0.49103.7953867270360.662996866021076
0.5103.9136896904800.692195736028183
0.51104.0377792333620.725799265876958
0.52104.1685588830330.765227161530995
0.53104.3070571625600.811094567508036
0.54104.4543785200440.863942862681581
0.55104.6116227690680.923472576662202
0.56104.7797805224180.98848699322798
0.57104.9596160528331.05717451353923
0.58105.1515514008181.12686836649452
0.59105.3555659276381.19457166047578
0.6105.5711237554001.25685233665841
0.61105.7971379122781.31040546520712
0.62106.0319751684251.35223639400850
0.63106.2735004485891.37970517706043
0.64106.5191553552511.39102235620969
0.65106.7660625487551.38483966268833
0.66107.0111468838651.36102880036365
0.67107.2512650966381.31975601312911
0.68107.4833377470021.26201156966567
0.69107.7044790393831.18950601260919
0.7107.9121211307941.10419383075914
0.71108.1041291005701.00895649922179
0.72108.2789010756270.906780263509404
0.73108.4354459114610.80112722305259
0.74108.5734295308220.695487488162907
0.75108.6931816493180.593400251334211
0.76108.7956577522110.498147433350003
0.77108.8823565618620.412361420757244
0.78108.955199740490.337990373839952
0.79109.0163865976140.276124647412049
0.8109.0682405890480.227182854447346
0.81109.113065577190.190797058928039
0.82109.1530284160490.165755756103402
0.83109.1900816103790.150481373245548
0.84109.2259368864600.142947584344186
0.85109.2620975659370.141329680730031
0.86109.2999520929060.144069030476315
0.87109.3409175263500.150595778448415
0.88109.3865945471040.161307837461072
0.89109.4388548034090.177478521302387
0.9109.4997423908120.200179383058209
0.91109.5710699258010.228676661557745
0.92109.6536755423640.258781660104614
0.93109.7465115947880.282358452817022
0.94109.8460140542030.289292674951698
0.95109.9463696671060.271438154631859
0.96110.0410314977130.228141422435149
0.97110.1248654952490.170439933681414
0.98110.1950069197850.121168320881450
0.99110.2486389522660.103139944660989

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.2043060338209 & 1.01256808398652 \tabularnewline
0.02 & 97.5866035782921 & 0.70794987042254 \tabularnewline
0.03 & 97.935467890097 & 0.486588599064677 \tabularnewline
0.04 & 98.2073547345678 & 0.396383976947095 \tabularnewline
0.05 & 98.417622798204 & 0.396119623202712 \tabularnewline
0.06 & 98.5945640411363 & 0.42574200079476 \tabularnewline
0.07 & 98.7576424016933 & 0.455637009858396 \tabularnewline
0.08 & 98.915398954791 & 0.47723720988249 \tabularnewline
0.09 & 99.069952897344 & 0.490358172858407 \tabularnewline
0.1 & 99.2211076632655 & 0.498193479993313 \tabularnewline
0.11 & 99.3685116350935 & 0.504793726429808 \tabularnewline
0.12 & 99.5123657353685 & 0.513626723880495 \tabularnewline
0.13 & 99.653381646494 & 0.526281706545559 \tabularnewline
0.14 & 99.7924523314807 & 0.54215701570532 \tabularnewline
0.15 & 99.9302939876232 & 0.558836425750929 \tabularnewline
0.16 & 100.067201536842 & 0.573174383835109 \tabularnewline
0.17 & 100.202980193691 & 0.582496941655759 \tabularnewline
0.18 & 100.337049193049 & 0.585376564285176 \tabularnewline
0.19 & 100.468663033694 & 0.582217169105988 \tabularnewline
0.2 & 100.597169742362 & 0.574754183556808 \tabularnewline
0.21 & 100.722227518444 & 0.565866708802506 \tabularnewline
0.22 & 100.843924801395 & 0.558791949345257 \tabularnewline
0.23 & 100.962783077344 & 0.556104677365297 \tabularnewline
0.24 & 101.079654831434 & 0.559367939094782 \tabularnewline
0.25 & 101.195552377109 & 0.56884375887676 \tabularnewline
0.26 & 101.311453151660 & 0.58304310477636 \tabularnewline
0.27 & 101.428124341233 & 0.600106426045187 \tabularnewline
0.28 & 101.545998271819 & 0.617420808300955 \tabularnewline
0.29 & 101.665114777178 & 0.632370634719727 \tabularnewline
0.3 & 101.785132009220 & 0.64310610683421 \tabularnewline
0.31 & 101.905395643840 & 0.648065126185265 \tabularnewline
0.32 & 102.025049247014 & 0.646709454486531 \tabularnewline
0.33 & 102.143165529440 & 0.639088448956682 \tabularnewline
0.34 & 102.258878497676 & 0.625950339251576 \tabularnewline
0.35 & 102.371499130172 & 0.608941011904311 \tabularnewline
0.36 & 102.480601347697 & 0.589706049108478 \tabularnewline
0.37 & 102.586070104114 & 0.570617715272367 \tabularnewline
0.38 & 102.688108914009 & 0.553538040243498 \tabularnewline
0.39 & 102.787209578753 & 0.540498669406459 \tabularnewline
0.4 & 102.884091728542 & 0.532669915677033 \tabularnewline
0.41 & 102.979623486446 & 0.530621421220467 \tabularnewline
0.42 & 103.074736572325 & 0.53444757327177 \tabularnewline
0.43 & 103.170349188757 & 0.543498005136554 \tabularnewline
0.44 & 103.267308053331 & 0.556918303740901 \tabularnewline
0.45 & 103.366357273488 & 0.573552955675134 \tabularnewline
0.46 & 103.468136991159 & 0.592710494098809 \tabularnewline
0.47 & 103.573209613693 & 0.613990485916237 \tabularnewline
0.48 & 103.682106784974 & 0.637289747020225 \tabularnewline
0.49 & 103.795386727036 & 0.662996866021076 \tabularnewline
0.5 & 103.913689690480 & 0.692195736028183 \tabularnewline
0.51 & 104.037779233362 & 0.725799265876958 \tabularnewline
0.52 & 104.168558883033 & 0.765227161530995 \tabularnewline
0.53 & 104.307057162560 & 0.811094567508036 \tabularnewline
0.54 & 104.454378520044 & 0.863942862681581 \tabularnewline
0.55 & 104.611622769068 & 0.923472576662202 \tabularnewline
0.56 & 104.779780522418 & 0.98848699322798 \tabularnewline
0.57 & 104.959616052833 & 1.05717451353923 \tabularnewline
0.58 & 105.151551400818 & 1.12686836649452 \tabularnewline
0.59 & 105.355565927638 & 1.19457166047578 \tabularnewline
0.6 & 105.571123755400 & 1.25685233665841 \tabularnewline
0.61 & 105.797137912278 & 1.31040546520712 \tabularnewline
0.62 & 106.031975168425 & 1.35223639400850 \tabularnewline
0.63 & 106.273500448589 & 1.37970517706043 \tabularnewline
0.64 & 106.519155355251 & 1.39102235620969 \tabularnewline
0.65 & 106.766062548755 & 1.38483966268833 \tabularnewline
0.66 & 107.011146883865 & 1.36102880036365 \tabularnewline
0.67 & 107.251265096638 & 1.31975601312911 \tabularnewline
0.68 & 107.483337747002 & 1.26201156966567 \tabularnewline
0.69 & 107.704479039383 & 1.18950601260919 \tabularnewline
0.7 & 107.912121130794 & 1.10419383075914 \tabularnewline
0.71 & 108.104129100570 & 1.00895649922179 \tabularnewline
0.72 & 108.278901075627 & 0.906780263509404 \tabularnewline
0.73 & 108.435445911461 & 0.80112722305259 \tabularnewline
0.74 & 108.573429530822 & 0.695487488162907 \tabularnewline
0.75 & 108.693181649318 & 0.593400251334211 \tabularnewline
0.76 & 108.795657752211 & 0.498147433350003 \tabularnewline
0.77 & 108.882356561862 & 0.412361420757244 \tabularnewline
0.78 & 108.95519974049 & 0.337990373839952 \tabularnewline
0.79 & 109.016386597614 & 0.276124647412049 \tabularnewline
0.8 & 109.068240589048 & 0.227182854447346 \tabularnewline
0.81 & 109.11306557719 & 0.190797058928039 \tabularnewline
0.82 & 109.153028416049 & 0.165755756103402 \tabularnewline
0.83 & 109.190081610379 & 0.150481373245548 \tabularnewline
0.84 & 109.225936886460 & 0.142947584344186 \tabularnewline
0.85 & 109.262097565937 & 0.141329680730031 \tabularnewline
0.86 & 109.299952092906 & 0.144069030476315 \tabularnewline
0.87 & 109.340917526350 & 0.150595778448415 \tabularnewline
0.88 & 109.386594547104 & 0.161307837461072 \tabularnewline
0.89 & 109.438854803409 & 0.177478521302387 \tabularnewline
0.9 & 109.499742390812 & 0.200179383058209 \tabularnewline
0.91 & 109.571069925801 & 0.228676661557745 \tabularnewline
0.92 & 109.653675542364 & 0.258781660104614 \tabularnewline
0.93 & 109.746511594788 & 0.282358452817022 \tabularnewline
0.94 & 109.846014054203 & 0.289292674951698 \tabularnewline
0.95 & 109.946369667106 & 0.271438154631859 \tabularnewline
0.96 & 110.041031497713 & 0.228141422435149 \tabularnewline
0.97 & 110.124865495249 & 0.170439933681414 \tabularnewline
0.98 & 110.195006919785 & 0.121168320881450 \tabularnewline
0.99 & 110.248638952266 & 0.103139944660989 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82855&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]97.2043060338209[/C][C]1.01256808398652[/C][/ROW]
[ROW][C]0.02[/C][C]97.5866035782921[/C][C]0.70794987042254[/C][/ROW]
[ROW][C]0.03[/C][C]97.935467890097[/C][C]0.486588599064677[/C][/ROW]
[ROW][C]0.04[/C][C]98.2073547345678[/C][C]0.396383976947095[/C][/ROW]
[ROW][C]0.05[/C][C]98.417622798204[/C][C]0.396119623202712[/C][/ROW]
[ROW][C]0.06[/C][C]98.5945640411363[/C][C]0.42574200079476[/C][/ROW]
[ROW][C]0.07[/C][C]98.7576424016933[/C][C]0.455637009858396[/C][/ROW]
[ROW][C]0.08[/C][C]98.915398954791[/C][C]0.47723720988249[/C][/ROW]
[ROW][C]0.09[/C][C]99.069952897344[/C][C]0.490358172858407[/C][/ROW]
[ROW][C]0.1[/C][C]99.2211076632655[/C][C]0.498193479993313[/C][/ROW]
[ROW][C]0.11[/C][C]99.3685116350935[/C][C]0.504793726429808[/C][/ROW]
[ROW][C]0.12[/C][C]99.5123657353685[/C][C]0.513626723880495[/C][/ROW]
[ROW][C]0.13[/C][C]99.653381646494[/C][C]0.526281706545559[/C][/ROW]
[ROW][C]0.14[/C][C]99.7924523314807[/C][C]0.54215701570532[/C][/ROW]
[ROW][C]0.15[/C][C]99.9302939876232[/C][C]0.558836425750929[/C][/ROW]
[ROW][C]0.16[/C][C]100.067201536842[/C][C]0.573174383835109[/C][/ROW]
[ROW][C]0.17[/C][C]100.202980193691[/C][C]0.582496941655759[/C][/ROW]
[ROW][C]0.18[/C][C]100.337049193049[/C][C]0.585376564285176[/C][/ROW]
[ROW][C]0.19[/C][C]100.468663033694[/C][C]0.582217169105988[/C][/ROW]
[ROW][C]0.2[/C][C]100.597169742362[/C][C]0.574754183556808[/C][/ROW]
[ROW][C]0.21[/C][C]100.722227518444[/C][C]0.565866708802506[/C][/ROW]
[ROW][C]0.22[/C][C]100.843924801395[/C][C]0.558791949345257[/C][/ROW]
[ROW][C]0.23[/C][C]100.962783077344[/C][C]0.556104677365297[/C][/ROW]
[ROW][C]0.24[/C][C]101.079654831434[/C][C]0.559367939094782[/C][/ROW]
[ROW][C]0.25[/C][C]101.195552377109[/C][C]0.56884375887676[/C][/ROW]
[ROW][C]0.26[/C][C]101.311453151660[/C][C]0.58304310477636[/C][/ROW]
[ROW][C]0.27[/C][C]101.428124341233[/C][C]0.600106426045187[/C][/ROW]
[ROW][C]0.28[/C][C]101.545998271819[/C][C]0.617420808300955[/C][/ROW]
[ROW][C]0.29[/C][C]101.665114777178[/C][C]0.632370634719727[/C][/ROW]
[ROW][C]0.3[/C][C]101.785132009220[/C][C]0.64310610683421[/C][/ROW]
[ROW][C]0.31[/C][C]101.905395643840[/C][C]0.648065126185265[/C][/ROW]
[ROW][C]0.32[/C][C]102.025049247014[/C][C]0.646709454486531[/C][/ROW]
[ROW][C]0.33[/C][C]102.143165529440[/C][C]0.639088448956682[/C][/ROW]
[ROW][C]0.34[/C][C]102.258878497676[/C][C]0.625950339251576[/C][/ROW]
[ROW][C]0.35[/C][C]102.371499130172[/C][C]0.608941011904311[/C][/ROW]
[ROW][C]0.36[/C][C]102.480601347697[/C][C]0.589706049108478[/C][/ROW]
[ROW][C]0.37[/C][C]102.586070104114[/C][C]0.570617715272367[/C][/ROW]
[ROW][C]0.38[/C][C]102.688108914009[/C][C]0.553538040243498[/C][/ROW]
[ROW][C]0.39[/C][C]102.787209578753[/C][C]0.540498669406459[/C][/ROW]
[ROW][C]0.4[/C][C]102.884091728542[/C][C]0.532669915677033[/C][/ROW]
[ROW][C]0.41[/C][C]102.979623486446[/C][C]0.530621421220467[/C][/ROW]
[ROW][C]0.42[/C][C]103.074736572325[/C][C]0.53444757327177[/C][/ROW]
[ROW][C]0.43[/C][C]103.170349188757[/C][C]0.543498005136554[/C][/ROW]
[ROW][C]0.44[/C][C]103.267308053331[/C][C]0.556918303740901[/C][/ROW]
[ROW][C]0.45[/C][C]103.366357273488[/C][C]0.573552955675134[/C][/ROW]
[ROW][C]0.46[/C][C]103.468136991159[/C][C]0.592710494098809[/C][/ROW]
[ROW][C]0.47[/C][C]103.573209613693[/C][C]0.613990485916237[/C][/ROW]
[ROW][C]0.48[/C][C]103.682106784974[/C][C]0.637289747020225[/C][/ROW]
[ROW][C]0.49[/C][C]103.795386727036[/C][C]0.662996866021076[/C][/ROW]
[ROW][C]0.5[/C][C]103.913689690480[/C][C]0.692195736028183[/C][/ROW]
[ROW][C]0.51[/C][C]104.037779233362[/C][C]0.725799265876958[/C][/ROW]
[ROW][C]0.52[/C][C]104.168558883033[/C][C]0.765227161530995[/C][/ROW]
[ROW][C]0.53[/C][C]104.307057162560[/C][C]0.811094567508036[/C][/ROW]
[ROW][C]0.54[/C][C]104.454378520044[/C][C]0.863942862681581[/C][/ROW]
[ROW][C]0.55[/C][C]104.611622769068[/C][C]0.923472576662202[/C][/ROW]
[ROW][C]0.56[/C][C]104.779780522418[/C][C]0.98848699322798[/C][/ROW]
[ROW][C]0.57[/C][C]104.959616052833[/C][C]1.05717451353923[/C][/ROW]
[ROW][C]0.58[/C][C]105.151551400818[/C][C]1.12686836649452[/C][/ROW]
[ROW][C]0.59[/C][C]105.355565927638[/C][C]1.19457166047578[/C][/ROW]
[ROW][C]0.6[/C][C]105.571123755400[/C][C]1.25685233665841[/C][/ROW]
[ROW][C]0.61[/C][C]105.797137912278[/C][C]1.31040546520712[/C][/ROW]
[ROW][C]0.62[/C][C]106.031975168425[/C][C]1.35223639400850[/C][/ROW]
[ROW][C]0.63[/C][C]106.273500448589[/C][C]1.37970517706043[/C][/ROW]
[ROW][C]0.64[/C][C]106.519155355251[/C][C]1.39102235620969[/C][/ROW]
[ROW][C]0.65[/C][C]106.766062548755[/C][C]1.38483966268833[/C][/ROW]
[ROW][C]0.66[/C][C]107.011146883865[/C][C]1.36102880036365[/C][/ROW]
[ROW][C]0.67[/C][C]107.251265096638[/C][C]1.31975601312911[/C][/ROW]
[ROW][C]0.68[/C][C]107.483337747002[/C][C]1.26201156966567[/C][/ROW]
[ROW][C]0.69[/C][C]107.704479039383[/C][C]1.18950601260919[/C][/ROW]
[ROW][C]0.7[/C][C]107.912121130794[/C][C]1.10419383075914[/C][/ROW]
[ROW][C]0.71[/C][C]108.104129100570[/C][C]1.00895649922179[/C][/ROW]
[ROW][C]0.72[/C][C]108.278901075627[/C][C]0.906780263509404[/C][/ROW]
[ROW][C]0.73[/C][C]108.435445911461[/C][C]0.80112722305259[/C][/ROW]
[ROW][C]0.74[/C][C]108.573429530822[/C][C]0.695487488162907[/C][/ROW]
[ROW][C]0.75[/C][C]108.693181649318[/C][C]0.593400251334211[/C][/ROW]
[ROW][C]0.76[/C][C]108.795657752211[/C][C]0.498147433350003[/C][/ROW]
[ROW][C]0.77[/C][C]108.882356561862[/C][C]0.412361420757244[/C][/ROW]
[ROW][C]0.78[/C][C]108.95519974049[/C][C]0.337990373839952[/C][/ROW]
[ROW][C]0.79[/C][C]109.016386597614[/C][C]0.276124647412049[/C][/ROW]
[ROW][C]0.8[/C][C]109.068240589048[/C][C]0.227182854447346[/C][/ROW]
[ROW][C]0.81[/C][C]109.11306557719[/C][C]0.190797058928039[/C][/ROW]
[ROW][C]0.82[/C][C]109.153028416049[/C][C]0.165755756103402[/C][/ROW]
[ROW][C]0.83[/C][C]109.190081610379[/C][C]0.150481373245548[/C][/ROW]
[ROW][C]0.84[/C][C]109.225936886460[/C][C]0.142947584344186[/C][/ROW]
[ROW][C]0.85[/C][C]109.262097565937[/C][C]0.141329680730031[/C][/ROW]
[ROW][C]0.86[/C][C]109.299952092906[/C][C]0.144069030476315[/C][/ROW]
[ROW][C]0.87[/C][C]109.340917526350[/C][C]0.150595778448415[/C][/ROW]
[ROW][C]0.88[/C][C]109.386594547104[/C][C]0.161307837461072[/C][/ROW]
[ROW][C]0.89[/C][C]109.438854803409[/C][C]0.177478521302387[/C][/ROW]
[ROW][C]0.9[/C][C]109.499742390812[/C][C]0.200179383058209[/C][/ROW]
[ROW][C]0.91[/C][C]109.571069925801[/C][C]0.228676661557745[/C][/ROW]
[ROW][C]0.92[/C][C]109.653675542364[/C][C]0.258781660104614[/C][/ROW]
[ROW][C]0.93[/C][C]109.746511594788[/C][C]0.282358452817022[/C][/ROW]
[ROW][C]0.94[/C][C]109.846014054203[/C][C]0.289292674951698[/C][/ROW]
[ROW][C]0.95[/C][C]109.946369667106[/C][C]0.271438154631859[/C][/ROW]
[ROW][C]0.96[/C][C]110.041031497713[/C][C]0.228141422435149[/C][/ROW]
[ROW][C]0.97[/C][C]110.124865495249[/C][C]0.170439933681414[/C][/ROW]
[ROW][C]0.98[/C][C]110.195006919785[/C][C]0.121168320881450[/C][/ROW]
[ROW][C]0.99[/C][C]110.248638952266[/C][C]0.103139944660989[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82855&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82855&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
0.0197.20430603382091.01256808398652
0.0297.58660357829210.70794987042254
0.0397.9354678900970.486588599064677
0.0498.20735473456780.396383976947095
0.0598.4176227982040.396119623202712
0.0698.59456404113630.42574200079476
0.0798.75764240169330.455637009858396
0.0898.9153989547910.47723720988249
0.0999.0699528973440.490358172858407
0.199.22110766326550.498193479993313
0.1199.36851163509350.504793726429808
0.1299.51236573536850.513626723880495
0.1399.6533816464940.526281706545559
0.1499.79245233148070.54215701570532
0.1599.93029398762320.558836425750929
0.16100.0672015368420.573174383835109
0.17100.2029801936910.582496941655759
0.18100.3370491930490.585376564285176
0.19100.4686630336940.582217169105988
0.2100.5971697423620.574754183556808
0.21100.7222275184440.565866708802506
0.22100.8439248013950.558791949345257
0.23100.9627830773440.556104677365297
0.24101.0796548314340.559367939094782
0.25101.1955523771090.56884375887676
0.26101.3114531516600.58304310477636
0.27101.4281243412330.600106426045187
0.28101.5459982718190.617420808300955
0.29101.6651147771780.632370634719727
0.3101.7851320092200.64310610683421
0.31101.9053956438400.648065126185265
0.32102.0250492470140.646709454486531
0.33102.1431655294400.639088448956682
0.34102.2588784976760.625950339251576
0.35102.3714991301720.608941011904311
0.36102.4806013476970.589706049108478
0.37102.5860701041140.570617715272367
0.38102.6881089140090.553538040243498
0.39102.7872095787530.540498669406459
0.4102.8840917285420.532669915677033
0.41102.9796234864460.530621421220467
0.42103.0747365723250.53444757327177
0.43103.1703491887570.543498005136554
0.44103.2673080533310.556918303740901
0.45103.3663572734880.573552955675134
0.46103.4681369911590.592710494098809
0.47103.5732096136930.613990485916237
0.48103.6821067849740.637289747020225
0.49103.7953867270360.662996866021076
0.5103.9136896904800.692195736028183
0.51104.0377792333620.725799265876958
0.52104.1685588830330.765227161530995
0.53104.3070571625600.811094567508036
0.54104.4543785200440.863942862681581
0.55104.6116227690680.923472576662202
0.56104.7797805224180.98848699322798
0.57104.9596160528331.05717451353923
0.58105.1515514008181.12686836649452
0.59105.3555659276381.19457166047578
0.6105.5711237554001.25685233665841
0.61105.7971379122781.31040546520712
0.62106.0319751684251.35223639400850
0.63106.2735004485891.37970517706043
0.64106.5191553552511.39102235620969
0.65106.7660625487551.38483966268833
0.66107.0111468838651.36102880036365
0.67107.2512650966381.31975601312911
0.68107.4833377470021.26201156966567
0.69107.7044790393831.18950601260919
0.7107.9121211307941.10419383075914
0.71108.1041291005701.00895649922179
0.72108.2789010756270.906780263509404
0.73108.4354459114610.80112722305259
0.74108.5734295308220.695487488162907
0.75108.6931816493180.593400251334211
0.76108.7956577522110.498147433350003
0.77108.8823565618620.412361420757244
0.78108.955199740490.337990373839952
0.79109.0163865976140.276124647412049
0.8109.0682405890480.227182854447346
0.81109.113065577190.190797058928039
0.82109.1530284160490.165755756103402
0.83109.1900816103790.150481373245548
0.84109.2259368864600.142947584344186
0.85109.2620975659370.141329680730031
0.86109.2999520929060.144069030476315
0.87109.3409175263500.150595778448415
0.88109.3865945471040.161307837461072
0.89109.4388548034090.177478521302387
0.9109.4997423908120.200179383058209
0.91109.5710699258010.228676661557745
0.92109.6536755423640.258781660104614
0.93109.7465115947880.282358452817022
0.94109.8460140542030.289292674951698
0.95109.9463696671060.271438154631859
0.96110.0410314977130.228141422435149
0.97110.1248654952490.170439933681414
0.98110.1950069197850.121168320881450
0.99110.2486389522660.103139944660989


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')