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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, 05 Oct 2016 12:58:26 +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/t14756687638urtj80zu7a6qlx.htm/, Retrieved Tue, 21 May 2024 00:49:10 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 00:49:10 +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 
95,77
97,63
100,87
100,39
98,62
97,42
95,62
97,22
97,56
97,06
97,68
98,18
98,54
98,24
98,1
96,32
96,15
96,67
94,7
93,94
96,69
96,54
95,94
95,6
99,15
100,33
99,86
96,09
94,42
93,85
93,73
94,63
95,54
95,48
95,84
96,29
97,63
98,8
99,84
100,73
100,44
100,54
100,25
100,29
100,7
100,62
100,43
99,73
99,17
98,9
98,94
98,91
99,5
99,52
99,1
99,12
99
98,66
98,3
98,18
97,95
97,84
98,61
99,54
99,64
99,69
99,77
99,85
99,87
100,23
100,46
100,36

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.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]'Sir Maurice George Kendall' @ kendall.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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.78187974763260.143154823191445
0.0293.88087853740540.22149098365283
0.0394.01809177951440.322195607823238
0.0494.18412959077320.408072384262165
0.0594.36875424636220.466741862100761
0.0694.56139529166590.500785666461668
0.0794.7527489179090.513488228730955
0.0894.9355594432810.505508699783472
0.0995.10461128523940.478376479501091
0.195.25668075715440.437308027997899
0.1195.39063716898940.391247515727764
0.1295.50740409827180.349462087728383
0.1395.60955036027570.318571619751115
0.1495.70057796458340.301206957710767
0.1595.78416225905290.296260258140888
0.1695.86358039935440.300880426258168
0.1795.94142751400810.311959449375496
0.1896.01958544293960.327207298054459
0.1996.09933992029130.345515758126907
0.296.18153973659630.366050283994482
0.2196.26672662821640.388322522475531
0.2296.35520745080.411437390269141
0.2396.44707299631580.434564031157535
0.2496.54218541088570.456390507226895
0.2596.64016059260510.475565749546374
0.2696.74036760370640.490560492182661
0.2796.84195818830450.500236691706848
0.2896.94392912856870.504103564752561
0.2997.04521072100580.50169180464738
0.397.14476780252450.493520952312717
0.3197.24169659387580.480854111527485
0.3297.33530151157410.464707866484599
0.3397.42514053288820.446644108208247
0.3497.51103440092510.42836573122041
0.3597.59304216546020.411018850774965
0.3697.67141149766310.395563756506258
0.3797.74651559658930.382356417950103
0.3897.81878883153640.371439943687799
0.3997.88867091798770.362640686838772
0.497.95656545047330.355412245557963
0.4198.02281433005950.349758549959648
0.4298.0876861884280.344771138539887
0.4398.15137501147030.340484398591555
0.4498.21400489681770.336291413445567
0.4598.27563783283270.3322591003255
0.4698.33628288417380.327891979307886
0.4798.39590653950580.322923331375343
0.4898.45444476665460.317337799512747
0.4998.51181738506240.311071560684577
0.598.56794483522010.304095715176796
0.5198.62276658805860.296421071004507
0.5298.67625960407390.288677268111939
0.5398.72845465473990.280949320331067
0.5498.77944807667660.273706885927977
0.5598.8294066684160.26756069672308
0.5698.87856394045060.262816212654393
0.5798.927206762350.259809287654328
0.5898.97565258285860.258610947743164
0.5999.02421876541320.259402806053219
0.699.07318704689230.261660852041724
0.6199.12276746312370.265076801457692
0.6299.17306698978220.26879330916355
0.6399.22406831778480.271956155348538
0.6499.27562341131050.273853514575102
0.6599.32746476785880.273711728350738
0.6699.37923483012080.271189143817584
0.6799.43053120151640.265907396846329
0.6899.48096268608960.258216516355832
0.6999.53020913846750.248811768495257
0.799.57807692031130.238028397879681
0.7199.62454146752660.227396605452735
0.7299.66976902863470.217714294768943
0.7399.7141110544950.210318317641847
0.7499.75806720190540.205834927747824
0.7599.80221678985890.204765799459819
0.7699.84712399982470.206880916884118
0.7799.89322874110050.2113682098897
0.7899.94074157739560.216602369926899
0.7999.98956520628570.220803755175544
0.8100.0392642192770.222148985706163
0.81100.0890976717270.219125100519785
0.82100.1381159087150.211054730837537
0.83100.1853073651180.197900603136357
0.84100.229767900370.180651348265573
0.85100.2708597499420.160986245837846
0.86100.308331670360.140663483349711
0.87100.3423838941730.121819848651132
0.88100.3736743378130.106155190022807
0.89100.4032683763770.0950951564778338
0.9100.4325300586830.0894490504380074
0.91100.4629438965530.089308520578596
0.92100.4958605670240.093357495098641
0.93100.5322021235370.099109689807121
0.94100.5722617406080.103244989317219
0.95100.6158569194090.102864225310623
0.96100.6630440083820.0971598556567089
0.97100.7149009964090.0906276556496239
0.98100.772264669650.0946324194643043
0.99100.8298353788580.11550207189412

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.7818797476326 & 0.143154823191445 \tabularnewline
0.02 & 93.8808785374054 & 0.22149098365283 \tabularnewline
0.03 & 94.0180917795144 & 0.322195607823238 \tabularnewline
0.04 & 94.1841295907732 & 0.408072384262165 \tabularnewline
0.05 & 94.3687542463622 & 0.466741862100761 \tabularnewline
0.06 & 94.5613952916659 & 0.500785666461668 \tabularnewline
0.07 & 94.752748917909 & 0.513488228730955 \tabularnewline
0.08 & 94.935559443281 & 0.505508699783472 \tabularnewline
0.09 & 95.1046112852394 & 0.478376479501091 \tabularnewline
0.1 & 95.2566807571544 & 0.437308027997899 \tabularnewline
0.11 & 95.3906371689894 & 0.391247515727764 \tabularnewline
0.12 & 95.5074040982718 & 0.349462087728383 \tabularnewline
0.13 & 95.6095503602757 & 0.318571619751115 \tabularnewline
0.14 & 95.7005779645834 & 0.301206957710767 \tabularnewline
0.15 & 95.7841622590529 & 0.296260258140888 \tabularnewline
0.16 & 95.8635803993544 & 0.300880426258168 \tabularnewline
0.17 & 95.9414275140081 & 0.311959449375496 \tabularnewline
0.18 & 96.0195854429396 & 0.327207298054459 \tabularnewline
0.19 & 96.0993399202913 & 0.345515758126907 \tabularnewline
0.2 & 96.1815397365963 & 0.366050283994482 \tabularnewline
0.21 & 96.2667266282164 & 0.388322522475531 \tabularnewline
0.22 & 96.3552074508 & 0.411437390269141 \tabularnewline
0.23 & 96.4470729963158 & 0.434564031157535 \tabularnewline
0.24 & 96.5421854108857 & 0.456390507226895 \tabularnewline
0.25 & 96.6401605926051 & 0.475565749546374 \tabularnewline
0.26 & 96.7403676037064 & 0.490560492182661 \tabularnewline
0.27 & 96.8419581883045 & 0.500236691706848 \tabularnewline
0.28 & 96.9439291285687 & 0.504103564752561 \tabularnewline
0.29 & 97.0452107210058 & 0.50169180464738 \tabularnewline
0.3 & 97.1447678025245 & 0.493520952312717 \tabularnewline
0.31 & 97.2416965938758 & 0.480854111527485 \tabularnewline
0.32 & 97.3353015115741 & 0.464707866484599 \tabularnewline
0.33 & 97.4251405328882 & 0.446644108208247 \tabularnewline
0.34 & 97.5110344009251 & 0.42836573122041 \tabularnewline
0.35 & 97.5930421654602 & 0.411018850774965 \tabularnewline
0.36 & 97.6714114976631 & 0.395563756506258 \tabularnewline
0.37 & 97.7465155965893 & 0.382356417950103 \tabularnewline
0.38 & 97.8187888315364 & 0.371439943687799 \tabularnewline
0.39 & 97.8886709179877 & 0.362640686838772 \tabularnewline
0.4 & 97.9565654504733 & 0.355412245557963 \tabularnewline
0.41 & 98.0228143300595 & 0.349758549959648 \tabularnewline
0.42 & 98.087686188428 & 0.344771138539887 \tabularnewline
0.43 & 98.1513750114703 & 0.340484398591555 \tabularnewline
0.44 & 98.2140048968177 & 0.336291413445567 \tabularnewline
0.45 & 98.2756378328327 & 0.3322591003255 \tabularnewline
0.46 & 98.3362828841738 & 0.327891979307886 \tabularnewline
0.47 & 98.3959065395058 & 0.322923331375343 \tabularnewline
0.48 & 98.4544447666546 & 0.317337799512747 \tabularnewline
0.49 & 98.5118173850624 & 0.311071560684577 \tabularnewline
0.5 & 98.5679448352201 & 0.304095715176796 \tabularnewline
0.51 & 98.6227665880586 & 0.296421071004507 \tabularnewline
0.52 & 98.6762596040739 & 0.288677268111939 \tabularnewline
0.53 & 98.7284546547399 & 0.280949320331067 \tabularnewline
0.54 & 98.7794480766766 & 0.273706885927977 \tabularnewline
0.55 & 98.829406668416 & 0.26756069672308 \tabularnewline
0.56 & 98.8785639404506 & 0.262816212654393 \tabularnewline
0.57 & 98.92720676235 & 0.259809287654328 \tabularnewline
0.58 & 98.9756525828586 & 0.258610947743164 \tabularnewline
0.59 & 99.0242187654132 & 0.259402806053219 \tabularnewline
0.6 & 99.0731870468923 & 0.261660852041724 \tabularnewline
0.61 & 99.1227674631237 & 0.265076801457692 \tabularnewline
0.62 & 99.1730669897822 & 0.26879330916355 \tabularnewline
0.63 & 99.2240683177848 & 0.271956155348538 \tabularnewline
0.64 & 99.2756234113105 & 0.273853514575102 \tabularnewline
0.65 & 99.3274647678588 & 0.273711728350738 \tabularnewline
0.66 & 99.3792348301208 & 0.271189143817584 \tabularnewline
0.67 & 99.4305312015164 & 0.265907396846329 \tabularnewline
0.68 & 99.4809626860896 & 0.258216516355832 \tabularnewline
0.69 & 99.5302091384675 & 0.248811768495257 \tabularnewline
0.7 & 99.5780769203113 & 0.238028397879681 \tabularnewline
0.71 & 99.6245414675266 & 0.227396605452735 \tabularnewline
0.72 & 99.6697690286347 & 0.217714294768943 \tabularnewline
0.73 & 99.714111054495 & 0.210318317641847 \tabularnewline
0.74 & 99.7580672019054 & 0.205834927747824 \tabularnewline
0.75 & 99.8022167898589 & 0.204765799459819 \tabularnewline
0.76 & 99.8471239998247 & 0.206880916884118 \tabularnewline
0.77 & 99.8932287411005 & 0.2113682098897 \tabularnewline
0.78 & 99.9407415773956 & 0.216602369926899 \tabularnewline
0.79 & 99.9895652062857 & 0.220803755175544 \tabularnewline
0.8 & 100.039264219277 & 0.222148985706163 \tabularnewline
0.81 & 100.089097671727 & 0.219125100519785 \tabularnewline
0.82 & 100.138115908715 & 0.211054730837537 \tabularnewline
0.83 & 100.185307365118 & 0.197900603136357 \tabularnewline
0.84 & 100.22976790037 & 0.180651348265573 \tabularnewline
0.85 & 100.270859749942 & 0.160986245837846 \tabularnewline
0.86 & 100.30833167036 & 0.140663483349711 \tabularnewline
0.87 & 100.342383894173 & 0.121819848651132 \tabularnewline
0.88 & 100.373674337813 & 0.106155190022807 \tabularnewline
0.89 & 100.403268376377 & 0.0950951564778338 \tabularnewline
0.9 & 100.432530058683 & 0.0894490504380074 \tabularnewline
0.91 & 100.462943896553 & 0.089308520578596 \tabularnewline
0.92 & 100.495860567024 & 0.093357495098641 \tabularnewline
0.93 & 100.532202123537 & 0.099109689807121 \tabularnewline
0.94 & 100.572261740608 & 0.103244989317219 \tabularnewline
0.95 & 100.615856919409 & 0.102864225310623 \tabularnewline
0.96 & 100.663044008382 & 0.0971598556567089 \tabularnewline
0.97 & 100.714900996409 & 0.0906276556496239 \tabularnewline
0.98 & 100.77226466965 & 0.0946324194643043 \tabularnewline
0.99 & 100.829835378858 & 0.11550207189412 \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]93.7818797476326[/C][C]0.143154823191445[/C][/ROW]
[ROW][C]0.02[/C][C]93.8808785374054[/C][C]0.22149098365283[/C][/ROW]
[ROW][C]0.03[/C][C]94.0180917795144[/C][C]0.322195607823238[/C][/ROW]
[ROW][C]0.04[/C][C]94.1841295907732[/C][C]0.408072384262165[/C][/ROW]
[ROW][C]0.05[/C][C]94.3687542463622[/C][C]0.466741862100761[/C][/ROW]
[ROW][C]0.06[/C][C]94.5613952916659[/C][C]0.500785666461668[/C][/ROW]
[ROW][C]0.07[/C][C]94.752748917909[/C][C]0.513488228730955[/C][/ROW]
[ROW][C]0.08[/C][C]94.935559443281[/C][C]0.505508699783472[/C][/ROW]
[ROW][C]0.09[/C][C]95.1046112852394[/C][C]0.478376479501091[/C][/ROW]
[ROW][C]0.1[/C][C]95.2566807571544[/C][C]0.437308027997899[/C][/ROW]
[ROW][C]0.11[/C][C]95.3906371689894[/C][C]0.391247515727764[/C][/ROW]
[ROW][C]0.12[/C][C]95.5074040982718[/C][C]0.349462087728383[/C][/ROW]
[ROW][C]0.13[/C][C]95.6095503602757[/C][C]0.318571619751115[/C][/ROW]
[ROW][C]0.14[/C][C]95.7005779645834[/C][C]0.301206957710767[/C][/ROW]
[ROW][C]0.15[/C][C]95.7841622590529[/C][C]0.296260258140888[/C][/ROW]
[ROW][C]0.16[/C][C]95.8635803993544[/C][C]0.300880426258168[/C][/ROW]
[ROW][C]0.17[/C][C]95.9414275140081[/C][C]0.311959449375496[/C][/ROW]
[ROW][C]0.18[/C][C]96.0195854429396[/C][C]0.327207298054459[/C][/ROW]
[ROW][C]0.19[/C][C]96.0993399202913[/C][C]0.345515758126907[/C][/ROW]
[ROW][C]0.2[/C][C]96.1815397365963[/C][C]0.366050283994482[/C][/ROW]
[ROW][C]0.21[/C][C]96.2667266282164[/C][C]0.388322522475531[/C][/ROW]
[ROW][C]0.22[/C][C]96.3552074508[/C][C]0.411437390269141[/C][/ROW]
[ROW][C]0.23[/C][C]96.4470729963158[/C][C]0.434564031157535[/C][/ROW]
[ROW][C]0.24[/C][C]96.5421854108857[/C][C]0.456390507226895[/C][/ROW]
[ROW][C]0.25[/C][C]96.6401605926051[/C][C]0.475565749546374[/C][/ROW]
[ROW][C]0.26[/C][C]96.7403676037064[/C][C]0.490560492182661[/C][/ROW]
[ROW][C]0.27[/C][C]96.8419581883045[/C][C]0.500236691706848[/C][/ROW]
[ROW][C]0.28[/C][C]96.9439291285687[/C][C]0.504103564752561[/C][/ROW]
[ROW][C]0.29[/C][C]97.0452107210058[/C][C]0.50169180464738[/C][/ROW]
[ROW][C]0.3[/C][C]97.1447678025245[/C][C]0.493520952312717[/C][/ROW]
[ROW][C]0.31[/C][C]97.2416965938758[/C][C]0.480854111527485[/C][/ROW]
[ROW][C]0.32[/C][C]97.3353015115741[/C][C]0.464707866484599[/C][/ROW]
[ROW][C]0.33[/C][C]97.4251405328882[/C][C]0.446644108208247[/C][/ROW]
[ROW][C]0.34[/C][C]97.5110344009251[/C][C]0.42836573122041[/C][/ROW]
[ROW][C]0.35[/C][C]97.5930421654602[/C][C]0.411018850774965[/C][/ROW]
[ROW][C]0.36[/C][C]97.6714114976631[/C][C]0.395563756506258[/C][/ROW]
[ROW][C]0.37[/C][C]97.7465155965893[/C][C]0.382356417950103[/C][/ROW]
[ROW][C]0.38[/C][C]97.8187888315364[/C][C]0.371439943687799[/C][/ROW]
[ROW][C]0.39[/C][C]97.8886709179877[/C][C]0.362640686838772[/C][/ROW]
[ROW][C]0.4[/C][C]97.9565654504733[/C][C]0.355412245557963[/C][/ROW]
[ROW][C]0.41[/C][C]98.0228143300595[/C][C]0.349758549959648[/C][/ROW]
[ROW][C]0.42[/C][C]98.087686188428[/C][C]0.344771138539887[/C][/ROW]
[ROW][C]0.43[/C][C]98.1513750114703[/C][C]0.340484398591555[/C][/ROW]
[ROW][C]0.44[/C][C]98.2140048968177[/C][C]0.336291413445567[/C][/ROW]
[ROW][C]0.45[/C][C]98.2756378328327[/C][C]0.3322591003255[/C][/ROW]
[ROW][C]0.46[/C][C]98.3362828841738[/C][C]0.327891979307886[/C][/ROW]
[ROW][C]0.47[/C][C]98.3959065395058[/C][C]0.322923331375343[/C][/ROW]
[ROW][C]0.48[/C][C]98.4544447666546[/C][C]0.317337799512747[/C][/ROW]
[ROW][C]0.49[/C][C]98.5118173850624[/C][C]0.311071560684577[/C][/ROW]
[ROW][C]0.5[/C][C]98.5679448352201[/C][C]0.304095715176796[/C][/ROW]
[ROW][C]0.51[/C][C]98.6227665880586[/C][C]0.296421071004507[/C][/ROW]
[ROW][C]0.52[/C][C]98.6762596040739[/C][C]0.288677268111939[/C][/ROW]
[ROW][C]0.53[/C][C]98.7284546547399[/C][C]0.280949320331067[/C][/ROW]
[ROW][C]0.54[/C][C]98.7794480766766[/C][C]0.273706885927977[/C][/ROW]
[ROW][C]0.55[/C][C]98.829406668416[/C][C]0.26756069672308[/C][/ROW]
[ROW][C]0.56[/C][C]98.8785639404506[/C][C]0.262816212654393[/C][/ROW]
[ROW][C]0.57[/C][C]98.92720676235[/C][C]0.259809287654328[/C][/ROW]
[ROW][C]0.58[/C][C]98.9756525828586[/C][C]0.258610947743164[/C][/ROW]
[ROW][C]0.59[/C][C]99.0242187654132[/C][C]0.259402806053219[/C][/ROW]
[ROW][C]0.6[/C][C]99.0731870468923[/C][C]0.261660852041724[/C][/ROW]
[ROW][C]0.61[/C][C]99.1227674631237[/C][C]0.265076801457692[/C][/ROW]
[ROW][C]0.62[/C][C]99.1730669897822[/C][C]0.26879330916355[/C][/ROW]
[ROW][C]0.63[/C][C]99.2240683177848[/C][C]0.271956155348538[/C][/ROW]
[ROW][C]0.64[/C][C]99.2756234113105[/C][C]0.273853514575102[/C][/ROW]
[ROW][C]0.65[/C][C]99.3274647678588[/C][C]0.273711728350738[/C][/ROW]
[ROW][C]0.66[/C][C]99.3792348301208[/C][C]0.271189143817584[/C][/ROW]
[ROW][C]0.67[/C][C]99.4305312015164[/C][C]0.265907396846329[/C][/ROW]
[ROW][C]0.68[/C][C]99.4809626860896[/C][C]0.258216516355832[/C][/ROW]
[ROW][C]0.69[/C][C]99.5302091384675[/C][C]0.248811768495257[/C][/ROW]
[ROW][C]0.7[/C][C]99.5780769203113[/C][C]0.238028397879681[/C][/ROW]
[ROW][C]0.71[/C][C]99.6245414675266[/C][C]0.227396605452735[/C][/ROW]
[ROW][C]0.72[/C][C]99.6697690286347[/C][C]0.217714294768943[/C][/ROW]
[ROW][C]0.73[/C][C]99.714111054495[/C][C]0.210318317641847[/C][/ROW]
[ROW][C]0.74[/C][C]99.7580672019054[/C][C]0.205834927747824[/C][/ROW]
[ROW][C]0.75[/C][C]99.8022167898589[/C][C]0.204765799459819[/C][/ROW]
[ROW][C]0.76[/C][C]99.8471239998247[/C][C]0.206880916884118[/C][/ROW]
[ROW][C]0.77[/C][C]99.8932287411005[/C][C]0.2113682098897[/C][/ROW]
[ROW][C]0.78[/C][C]99.9407415773956[/C][C]0.216602369926899[/C][/ROW]
[ROW][C]0.79[/C][C]99.9895652062857[/C][C]0.220803755175544[/C][/ROW]
[ROW][C]0.8[/C][C]100.039264219277[/C][C]0.222148985706163[/C][/ROW]
[ROW][C]0.81[/C][C]100.089097671727[/C][C]0.219125100519785[/C][/ROW]
[ROW][C]0.82[/C][C]100.138115908715[/C][C]0.211054730837537[/C][/ROW]
[ROW][C]0.83[/C][C]100.185307365118[/C][C]0.197900603136357[/C][/ROW]
[ROW][C]0.84[/C][C]100.22976790037[/C][C]0.180651348265573[/C][/ROW]
[ROW][C]0.85[/C][C]100.270859749942[/C][C]0.160986245837846[/C][/ROW]
[ROW][C]0.86[/C][C]100.30833167036[/C][C]0.140663483349711[/C][/ROW]
[ROW][C]0.87[/C][C]100.342383894173[/C][C]0.121819848651132[/C][/ROW]
[ROW][C]0.88[/C][C]100.373674337813[/C][C]0.106155190022807[/C][/ROW]
[ROW][C]0.89[/C][C]100.403268376377[/C][C]0.0950951564778338[/C][/ROW]
[ROW][C]0.9[/C][C]100.432530058683[/C][C]0.0894490504380074[/C][/ROW]
[ROW][C]0.91[/C][C]100.462943896553[/C][C]0.089308520578596[/C][/ROW]
[ROW][C]0.92[/C][C]100.495860567024[/C][C]0.093357495098641[/C][/ROW]
[ROW][C]0.93[/C][C]100.532202123537[/C][C]0.099109689807121[/C][/ROW]
[ROW][C]0.94[/C][C]100.572261740608[/C][C]0.103244989317219[/C][/ROW]
[ROW][C]0.95[/C][C]100.615856919409[/C][C]0.102864225310623[/C][/ROW]
[ROW][C]0.96[/C][C]100.663044008382[/C][C]0.0971598556567089[/C][/ROW]
[ROW][C]0.97[/C][C]100.714900996409[/C][C]0.0906276556496239[/C][/ROW]
[ROW][C]0.98[/C][C]100.77226466965[/C][C]0.0946324194643043[/C][/ROW]
[ROW][C]0.99[/C][C]100.829835378858[/C][C]0.11550207189412[/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
0.0193.78187974763260.143154823191445
0.0293.88087853740540.22149098365283
0.0394.01809177951440.322195607823238
0.0494.18412959077320.408072384262165
0.0594.36875424636220.466741862100761
0.0694.56139529166590.500785666461668
0.0794.7527489179090.513488228730955
0.0894.9355594432810.505508699783472
0.0995.10461128523940.478376479501091
0.195.25668075715440.437308027997899
0.1195.39063716898940.391247515727764
0.1295.50740409827180.349462087728383
0.1395.60955036027570.318571619751115
0.1495.70057796458340.301206957710767
0.1595.78416225905290.296260258140888
0.1695.86358039935440.300880426258168
0.1795.94142751400810.311959449375496
0.1896.01958544293960.327207298054459
0.1996.09933992029130.345515758126907
0.296.18153973659630.366050283994482
0.2196.26672662821640.388322522475531
0.2296.35520745080.411437390269141
0.2396.44707299631580.434564031157535
0.2496.54218541088570.456390507226895
0.2596.64016059260510.475565749546374
0.2696.74036760370640.490560492182661
0.2796.84195818830450.500236691706848
0.2896.94392912856870.504103564752561
0.2997.04521072100580.50169180464738
0.397.14476780252450.493520952312717
0.3197.24169659387580.480854111527485
0.3297.33530151157410.464707866484599
0.3397.42514053288820.446644108208247
0.3497.51103440092510.42836573122041
0.3597.59304216546020.411018850774965
0.3697.67141149766310.395563756506258
0.3797.74651559658930.382356417950103
0.3897.81878883153640.371439943687799
0.3997.88867091798770.362640686838772
0.497.95656545047330.355412245557963
0.4198.02281433005950.349758549959648
0.4298.0876861884280.344771138539887
0.4398.15137501147030.340484398591555
0.4498.21400489681770.336291413445567
0.4598.27563783283270.3322591003255
0.4698.33628288417380.327891979307886
0.4798.39590653950580.322923331375343
0.4898.45444476665460.317337799512747
0.4998.51181738506240.311071560684577
0.598.56794483522010.304095715176796
0.5198.62276658805860.296421071004507
0.5298.67625960407390.288677268111939
0.5398.72845465473990.280949320331067
0.5498.77944807667660.273706885927977
0.5598.8294066684160.26756069672308
0.5698.87856394045060.262816212654393
0.5798.927206762350.259809287654328
0.5898.97565258285860.258610947743164
0.5999.02421876541320.259402806053219
0.699.07318704689230.261660852041724
0.6199.12276746312370.265076801457692
0.6299.17306698978220.26879330916355
0.6399.22406831778480.271956155348538
0.6499.27562341131050.273853514575102
0.6599.32746476785880.273711728350738
0.6699.37923483012080.271189143817584
0.6799.43053120151640.265907396846329
0.6899.48096268608960.258216516355832
0.6999.53020913846750.248811768495257
0.799.57807692031130.238028397879681
0.7199.62454146752660.227396605452735
0.7299.66976902863470.217714294768943
0.7399.7141110544950.210318317641847
0.7499.75806720190540.205834927747824
0.7599.80221678985890.204765799459819
0.7699.84712399982470.206880916884118
0.7799.89322874110050.2113682098897
0.7899.94074157739560.216602369926899
0.7999.98956520628570.220803755175544
0.8100.0392642192770.222148985706163
0.81100.0890976717270.219125100519785
0.82100.1381159087150.211054730837537
0.83100.1853073651180.197900603136357
0.84100.229767900370.180651348265573
0.85100.2708597499420.160986245837846
0.86100.308331670360.140663483349711
0.87100.3423838941730.121819848651132
0.88100.3736743378130.106155190022807
0.89100.4032683763770.0950951564778338
0.9100.4325300586830.0894490504380074
0.91100.4629438965530.089308520578596
0.92100.4958605670240.093357495098641
0.93100.5322021235370.099109689807121
0.94100.5722617406080.103244989317219
0.95100.6158569194090.102864225310623
0.96100.6630440083820.0971598556567089
0.97100.7149009964090.0906276556496239
0.98100.772264669650.0946324194643043
0.99100.8298353788580.11550207189412


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')