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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 02 Mar 2008 13:42:46 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t12044906824k44f5xbu0yyyw1.htm/, Retrieved Mon, 06 May 2024 17:43:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9730, Retrieved Mon, 06 May 2024 17:43:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4, Oefenin...] [2008-03-02 20:42:46] [2819b14941a6d5fb28b80112328b56ca] [Current]
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Dataseries X:
3.35
3.35
3.35
3.4
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.43
3.47
3.51
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.58
3.6
3.61
3.61
3.61
3.63
3.68
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.78
3.79
3.79
3.8
3.8
3.8
3.8
3.81
3.95
3.99
4
4.06
4.16
4.19
4.2
4.2
4.2
4.2
4.2
4.23
4.38
4.43
4.44
4.44
4.44
4.44
4.44
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.46
4.46
4.46
4.48
4.58
4.67
4.68
4.68




Summary of compuational 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 compuational 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=9730&T=0

[TABLE]
[ROW][C]Summary of compuational 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=9730&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9730&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 compuational 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
0.013.35199912070890.00640183434299285
0.023.358306910430310.0176936506511239
0.033.369202722317470.0265853961684677
0.043.382473742518120.0283617991443049
0.053.395123360208890.0239381766578776
0.063.405122708772560.0169724257927178
0.073.411938252886320.0105306953907022
0.083.416087448502070.00598900940531191
0.093.418478459460520.00355299116464784
0.13.419982834577980.00321240377489799
0.113.421291441307150.0047003820613881
0.123.422928743450510.0075632847966602
0.133.425303507835960.0116408682233291
0.143.428734264959730.0167397447784842
0.153.433438774330600.0224695525958482
0.163.439503692731670.028240375930038
0.173.446858610171690.0333658887598825
0.183.455274501634020.0372005324389441
0.193.464395736277100.0393092579114472
0.23.473801829616170.0395595958321501
0.213.483084620162780.0381701028222697
0.223.491921751116550.0356528425456871
0.233.500129154865330.0327165089720434
0.243.507682137191910.030133206904226
0.253.514703615300440.0286007836831104
0.263.521425987294060.0285846350725955
0.273.528137958959890.0301844619852837
0.283.535128836597810.0331393864918489
0.293.542640915091030.0369923689251386
0.33.550836869772240.0412318009853348
0.313.559784797406920.0453751430184610
0.323.569459789442660.0490344325169881
0.333.579758318730810.0519184507609547
0.343.590520538733860.053852625311059
0.353.601555724767070.0547882833920573
0.363.612667129627860.0547628708687304
0.373.623673918671860.0538984694699455
0.383.634429051885390.0523904987110436
0.393.644832659188480.0504825150915215
0.43.654840590093440.0484659907079122
0.413.664467678365960.04665535214632
0.423.673785250150880.0453599952792509
0.433.682912844634140.0448502674234149
0.443.692005076901170.0452912744187015
0.453.701235802496180.0467245883256891
0.463.710782759062540.0490854711898397
0.473.720816143302330.0522235427634039
0.483.73149380404690.0560165208634602
0.493.742963925701090.0603968298683432
0.53.755373668693510.0653941237736006
0.513.768879939788960.0711428793341726
0.523.783657063592720.0778333980446166
0.533.799896197283180.0856023670960594
0.543.817793045133430.094472545000553
0.553.837523466200780.104265821665266
0.563.859210184130640.114570241084289
0.573.882887040284720.124787673974177
0.583.908469167617150.134177882972886
0.593.935737485449520.141977684295389
0.63.964343855851820.147530121899595
0.613.993839411490590.150369765240775
0.624.023723676078380.150348824802255
0.634.053507127515510.147679858218276
0.644.082775875370640.142906967026260
0.654.111245145235650.136852940902718
0.664.138789039957560.130491115124381
0.674.165437883791290.124736642801316
0.684.191340990250330.120262569289005
0.694.216700777964440.117285850164704
0.74.241691919596000.115485033045452
0.714.266384413945860.114087066404560
0.724.290690171358680.112079135619905
0.734.314347995105850.108489615732562
0.744.336952452059150.102655818797251
0.754.358020480804120.0943454475067365
0.764.377079199705180.0838311052043857
0.774.39375267469210.0717810232404514
0.784.407826391471550.0591104614576716
0.794.419275544487070.0467702048444103
0.84.428254396169890.0355769535428117
0.814.435054944851850.0260638372823295
0.824.440050290577140.0184685267707727
0.834.443639453727110.0127578003234222
0.844.44620648840840.00872948812327395
0.854.448100224160450.00611723396441382
0.864.449635614593190.00470694632878095
0.874.451116726117320.00439314040619008
0.884.452885799977460.00517011255846845
0.894.455408967682780.0072194836553957
0.94.459406698107570.0111412246633752
0.914.466008913909120.0179749669222247
0.924.476846140581860.0288592239171363
0.934.493891144944530.0441603462249108
0.944.518816676390780.0621524264367243
0.954.551788574540170.0778427554424052
0.964.590109196773110.0835105911009455
0.974.62781988576770.0725824212521754
0.984.657546247371980.0461925291736632
0.994.674520945290040.0166663342433787

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.3519991207089 & 0.00640183434299285 \tabularnewline
0.02 & 3.35830691043031 & 0.0176936506511239 \tabularnewline
0.03 & 3.36920272231747 & 0.0265853961684677 \tabularnewline
0.04 & 3.38247374251812 & 0.0283617991443049 \tabularnewline
0.05 & 3.39512336020889 & 0.0239381766578776 \tabularnewline
0.06 & 3.40512270877256 & 0.0169724257927178 \tabularnewline
0.07 & 3.41193825288632 & 0.0105306953907022 \tabularnewline
0.08 & 3.41608744850207 & 0.00598900940531191 \tabularnewline
0.09 & 3.41847845946052 & 0.00355299116464784 \tabularnewline
0.1 & 3.41998283457798 & 0.00321240377489799 \tabularnewline
0.11 & 3.42129144130715 & 0.0047003820613881 \tabularnewline
0.12 & 3.42292874345051 & 0.0075632847966602 \tabularnewline
0.13 & 3.42530350783596 & 0.0116408682233291 \tabularnewline
0.14 & 3.42873426495973 & 0.0167397447784842 \tabularnewline
0.15 & 3.43343877433060 & 0.0224695525958482 \tabularnewline
0.16 & 3.43950369273167 & 0.028240375930038 \tabularnewline
0.17 & 3.44685861017169 & 0.0333658887598825 \tabularnewline
0.18 & 3.45527450163402 & 0.0372005324389441 \tabularnewline
0.19 & 3.46439573627710 & 0.0393092579114472 \tabularnewline
0.2 & 3.47380182961617 & 0.0395595958321501 \tabularnewline
0.21 & 3.48308462016278 & 0.0381701028222697 \tabularnewline
0.22 & 3.49192175111655 & 0.0356528425456871 \tabularnewline
0.23 & 3.50012915486533 & 0.0327165089720434 \tabularnewline
0.24 & 3.50768213719191 & 0.030133206904226 \tabularnewline
0.25 & 3.51470361530044 & 0.0286007836831104 \tabularnewline
0.26 & 3.52142598729406 & 0.0285846350725955 \tabularnewline
0.27 & 3.52813795895989 & 0.0301844619852837 \tabularnewline
0.28 & 3.53512883659781 & 0.0331393864918489 \tabularnewline
0.29 & 3.54264091509103 & 0.0369923689251386 \tabularnewline
0.3 & 3.55083686977224 & 0.0412318009853348 \tabularnewline
0.31 & 3.55978479740692 & 0.0453751430184610 \tabularnewline
0.32 & 3.56945978944266 & 0.0490344325169881 \tabularnewline
0.33 & 3.57975831873081 & 0.0519184507609547 \tabularnewline
0.34 & 3.59052053873386 & 0.053852625311059 \tabularnewline
0.35 & 3.60155572476707 & 0.0547882833920573 \tabularnewline
0.36 & 3.61266712962786 & 0.0547628708687304 \tabularnewline
0.37 & 3.62367391867186 & 0.0538984694699455 \tabularnewline
0.38 & 3.63442905188539 & 0.0523904987110436 \tabularnewline
0.39 & 3.64483265918848 & 0.0504825150915215 \tabularnewline
0.4 & 3.65484059009344 & 0.0484659907079122 \tabularnewline
0.41 & 3.66446767836596 & 0.04665535214632 \tabularnewline
0.42 & 3.67378525015088 & 0.0453599952792509 \tabularnewline
0.43 & 3.68291284463414 & 0.0448502674234149 \tabularnewline
0.44 & 3.69200507690117 & 0.0452912744187015 \tabularnewline
0.45 & 3.70123580249618 & 0.0467245883256891 \tabularnewline
0.46 & 3.71078275906254 & 0.0490854711898397 \tabularnewline
0.47 & 3.72081614330233 & 0.0522235427634039 \tabularnewline
0.48 & 3.7314938040469 & 0.0560165208634602 \tabularnewline
0.49 & 3.74296392570109 & 0.0603968298683432 \tabularnewline
0.5 & 3.75537366869351 & 0.0653941237736006 \tabularnewline
0.51 & 3.76887993978896 & 0.0711428793341726 \tabularnewline
0.52 & 3.78365706359272 & 0.0778333980446166 \tabularnewline
0.53 & 3.79989619728318 & 0.0856023670960594 \tabularnewline
0.54 & 3.81779304513343 & 0.094472545000553 \tabularnewline
0.55 & 3.83752346620078 & 0.104265821665266 \tabularnewline
0.56 & 3.85921018413064 & 0.114570241084289 \tabularnewline
0.57 & 3.88288704028472 & 0.124787673974177 \tabularnewline
0.58 & 3.90846916761715 & 0.134177882972886 \tabularnewline
0.59 & 3.93573748544952 & 0.141977684295389 \tabularnewline
0.6 & 3.96434385585182 & 0.147530121899595 \tabularnewline
0.61 & 3.99383941149059 & 0.150369765240775 \tabularnewline
0.62 & 4.02372367607838 & 0.150348824802255 \tabularnewline
0.63 & 4.05350712751551 & 0.147679858218276 \tabularnewline
0.64 & 4.08277587537064 & 0.142906967026260 \tabularnewline
0.65 & 4.11124514523565 & 0.136852940902718 \tabularnewline
0.66 & 4.13878903995756 & 0.130491115124381 \tabularnewline
0.67 & 4.16543788379129 & 0.124736642801316 \tabularnewline
0.68 & 4.19134099025033 & 0.120262569289005 \tabularnewline
0.69 & 4.21670077796444 & 0.117285850164704 \tabularnewline
0.7 & 4.24169191959600 & 0.115485033045452 \tabularnewline
0.71 & 4.26638441394586 & 0.114087066404560 \tabularnewline
0.72 & 4.29069017135868 & 0.112079135619905 \tabularnewline
0.73 & 4.31434799510585 & 0.108489615732562 \tabularnewline
0.74 & 4.33695245205915 & 0.102655818797251 \tabularnewline
0.75 & 4.35802048080412 & 0.0943454475067365 \tabularnewline
0.76 & 4.37707919970518 & 0.0838311052043857 \tabularnewline
0.77 & 4.3937526746921 & 0.0717810232404514 \tabularnewline
0.78 & 4.40782639147155 & 0.0591104614576716 \tabularnewline
0.79 & 4.41927554448707 & 0.0467702048444103 \tabularnewline
0.8 & 4.42825439616989 & 0.0355769535428117 \tabularnewline
0.81 & 4.43505494485185 & 0.0260638372823295 \tabularnewline
0.82 & 4.44005029057714 & 0.0184685267707727 \tabularnewline
0.83 & 4.44363945372711 & 0.0127578003234222 \tabularnewline
0.84 & 4.4462064884084 & 0.00872948812327395 \tabularnewline
0.85 & 4.44810022416045 & 0.00611723396441382 \tabularnewline
0.86 & 4.44963561459319 & 0.00470694632878095 \tabularnewline
0.87 & 4.45111672611732 & 0.00439314040619008 \tabularnewline
0.88 & 4.45288579997746 & 0.00517011255846845 \tabularnewline
0.89 & 4.45540896768278 & 0.0072194836553957 \tabularnewline
0.9 & 4.45940669810757 & 0.0111412246633752 \tabularnewline
0.91 & 4.46600891390912 & 0.0179749669222247 \tabularnewline
0.92 & 4.47684614058186 & 0.0288592239171363 \tabularnewline
0.93 & 4.49389114494453 & 0.0441603462249108 \tabularnewline
0.94 & 4.51881667639078 & 0.0621524264367243 \tabularnewline
0.95 & 4.55178857454017 & 0.0778427554424052 \tabularnewline
0.96 & 4.59010919677311 & 0.0835105911009455 \tabularnewline
0.97 & 4.6278198857677 & 0.0725824212521754 \tabularnewline
0.98 & 4.65754624737198 & 0.0461925291736632 \tabularnewline
0.99 & 4.67452094529004 & 0.0166663342433787 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9730&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]3.3519991207089[/C][C]0.00640183434299285[/C][/ROW]
[ROW][C]0.02[/C][C]3.35830691043031[/C][C]0.0176936506511239[/C][/ROW]
[ROW][C]0.03[/C][C]3.36920272231747[/C][C]0.0265853961684677[/C][/ROW]
[ROW][C]0.04[/C][C]3.38247374251812[/C][C]0.0283617991443049[/C][/ROW]
[ROW][C]0.05[/C][C]3.39512336020889[/C][C]0.0239381766578776[/C][/ROW]
[ROW][C]0.06[/C][C]3.40512270877256[/C][C]0.0169724257927178[/C][/ROW]
[ROW][C]0.07[/C][C]3.41193825288632[/C][C]0.0105306953907022[/C][/ROW]
[ROW][C]0.08[/C][C]3.41608744850207[/C][C]0.00598900940531191[/C][/ROW]
[ROW][C]0.09[/C][C]3.41847845946052[/C][C]0.00355299116464784[/C][/ROW]
[ROW][C]0.1[/C][C]3.41998283457798[/C][C]0.00321240377489799[/C][/ROW]
[ROW][C]0.11[/C][C]3.42129144130715[/C][C]0.0047003820613881[/C][/ROW]
[ROW][C]0.12[/C][C]3.42292874345051[/C][C]0.0075632847966602[/C][/ROW]
[ROW][C]0.13[/C][C]3.42530350783596[/C][C]0.0116408682233291[/C][/ROW]
[ROW][C]0.14[/C][C]3.42873426495973[/C][C]0.0167397447784842[/C][/ROW]
[ROW][C]0.15[/C][C]3.43343877433060[/C][C]0.0224695525958482[/C][/ROW]
[ROW][C]0.16[/C][C]3.43950369273167[/C][C]0.028240375930038[/C][/ROW]
[ROW][C]0.17[/C][C]3.44685861017169[/C][C]0.0333658887598825[/C][/ROW]
[ROW][C]0.18[/C][C]3.45527450163402[/C][C]0.0372005324389441[/C][/ROW]
[ROW][C]0.19[/C][C]3.46439573627710[/C][C]0.0393092579114472[/C][/ROW]
[ROW][C]0.2[/C][C]3.47380182961617[/C][C]0.0395595958321501[/C][/ROW]
[ROW][C]0.21[/C][C]3.48308462016278[/C][C]0.0381701028222697[/C][/ROW]
[ROW][C]0.22[/C][C]3.49192175111655[/C][C]0.0356528425456871[/C][/ROW]
[ROW][C]0.23[/C][C]3.50012915486533[/C][C]0.0327165089720434[/C][/ROW]
[ROW][C]0.24[/C][C]3.50768213719191[/C][C]0.030133206904226[/C][/ROW]
[ROW][C]0.25[/C][C]3.51470361530044[/C][C]0.0286007836831104[/C][/ROW]
[ROW][C]0.26[/C][C]3.52142598729406[/C][C]0.0285846350725955[/C][/ROW]
[ROW][C]0.27[/C][C]3.52813795895989[/C][C]0.0301844619852837[/C][/ROW]
[ROW][C]0.28[/C][C]3.53512883659781[/C][C]0.0331393864918489[/C][/ROW]
[ROW][C]0.29[/C][C]3.54264091509103[/C][C]0.0369923689251386[/C][/ROW]
[ROW][C]0.3[/C][C]3.55083686977224[/C][C]0.0412318009853348[/C][/ROW]
[ROW][C]0.31[/C][C]3.55978479740692[/C][C]0.0453751430184610[/C][/ROW]
[ROW][C]0.32[/C][C]3.56945978944266[/C][C]0.0490344325169881[/C][/ROW]
[ROW][C]0.33[/C][C]3.57975831873081[/C][C]0.0519184507609547[/C][/ROW]
[ROW][C]0.34[/C][C]3.59052053873386[/C][C]0.053852625311059[/C][/ROW]
[ROW][C]0.35[/C][C]3.60155572476707[/C][C]0.0547882833920573[/C][/ROW]
[ROW][C]0.36[/C][C]3.61266712962786[/C][C]0.0547628708687304[/C][/ROW]
[ROW][C]0.37[/C][C]3.62367391867186[/C][C]0.0538984694699455[/C][/ROW]
[ROW][C]0.38[/C][C]3.63442905188539[/C][C]0.0523904987110436[/C][/ROW]
[ROW][C]0.39[/C][C]3.64483265918848[/C][C]0.0504825150915215[/C][/ROW]
[ROW][C]0.4[/C][C]3.65484059009344[/C][C]0.0484659907079122[/C][/ROW]
[ROW][C]0.41[/C][C]3.66446767836596[/C][C]0.04665535214632[/C][/ROW]
[ROW][C]0.42[/C][C]3.67378525015088[/C][C]0.0453599952792509[/C][/ROW]
[ROW][C]0.43[/C][C]3.68291284463414[/C][C]0.0448502674234149[/C][/ROW]
[ROW][C]0.44[/C][C]3.69200507690117[/C][C]0.0452912744187015[/C][/ROW]
[ROW][C]0.45[/C][C]3.70123580249618[/C][C]0.0467245883256891[/C][/ROW]
[ROW][C]0.46[/C][C]3.71078275906254[/C][C]0.0490854711898397[/C][/ROW]
[ROW][C]0.47[/C][C]3.72081614330233[/C][C]0.0522235427634039[/C][/ROW]
[ROW][C]0.48[/C][C]3.7314938040469[/C][C]0.0560165208634602[/C][/ROW]
[ROW][C]0.49[/C][C]3.74296392570109[/C][C]0.0603968298683432[/C][/ROW]
[ROW][C]0.5[/C][C]3.75537366869351[/C][C]0.0653941237736006[/C][/ROW]
[ROW][C]0.51[/C][C]3.76887993978896[/C][C]0.0711428793341726[/C][/ROW]
[ROW][C]0.52[/C][C]3.78365706359272[/C][C]0.0778333980446166[/C][/ROW]
[ROW][C]0.53[/C][C]3.79989619728318[/C][C]0.0856023670960594[/C][/ROW]
[ROW][C]0.54[/C][C]3.81779304513343[/C][C]0.094472545000553[/C][/ROW]
[ROW][C]0.55[/C][C]3.83752346620078[/C][C]0.104265821665266[/C][/ROW]
[ROW][C]0.56[/C][C]3.85921018413064[/C][C]0.114570241084289[/C][/ROW]
[ROW][C]0.57[/C][C]3.88288704028472[/C][C]0.124787673974177[/C][/ROW]
[ROW][C]0.58[/C][C]3.90846916761715[/C][C]0.134177882972886[/C][/ROW]
[ROW][C]0.59[/C][C]3.93573748544952[/C][C]0.141977684295389[/C][/ROW]
[ROW][C]0.6[/C][C]3.96434385585182[/C][C]0.147530121899595[/C][/ROW]
[ROW][C]0.61[/C][C]3.99383941149059[/C][C]0.150369765240775[/C][/ROW]
[ROW][C]0.62[/C][C]4.02372367607838[/C][C]0.150348824802255[/C][/ROW]
[ROW][C]0.63[/C][C]4.05350712751551[/C][C]0.147679858218276[/C][/ROW]
[ROW][C]0.64[/C][C]4.08277587537064[/C][C]0.142906967026260[/C][/ROW]
[ROW][C]0.65[/C][C]4.11124514523565[/C][C]0.136852940902718[/C][/ROW]
[ROW][C]0.66[/C][C]4.13878903995756[/C][C]0.130491115124381[/C][/ROW]
[ROW][C]0.67[/C][C]4.16543788379129[/C][C]0.124736642801316[/C][/ROW]
[ROW][C]0.68[/C][C]4.19134099025033[/C][C]0.120262569289005[/C][/ROW]
[ROW][C]0.69[/C][C]4.21670077796444[/C][C]0.117285850164704[/C][/ROW]
[ROW][C]0.7[/C][C]4.24169191959600[/C][C]0.115485033045452[/C][/ROW]
[ROW][C]0.71[/C][C]4.26638441394586[/C][C]0.114087066404560[/C][/ROW]
[ROW][C]0.72[/C][C]4.29069017135868[/C][C]0.112079135619905[/C][/ROW]
[ROW][C]0.73[/C][C]4.31434799510585[/C][C]0.108489615732562[/C][/ROW]
[ROW][C]0.74[/C][C]4.33695245205915[/C][C]0.102655818797251[/C][/ROW]
[ROW][C]0.75[/C][C]4.35802048080412[/C][C]0.0943454475067365[/C][/ROW]
[ROW][C]0.76[/C][C]4.37707919970518[/C][C]0.0838311052043857[/C][/ROW]
[ROW][C]0.77[/C][C]4.3937526746921[/C][C]0.0717810232404514[/C][/ROW]
[ROW][C]0.78[/C][C]4.40782639147155[/C][C]0.0591104614576716[/C][/ROW]
[ROW][C]0.79[/C][C]4.41927554448707[/C][C]0.0467702048444103[/C][/ROW]
[ROW][C]0.8[/C][C]4.42825439616989[/C][C]0.0355769535428117[/C][/ROW]
[ROW][C]0.81[/C][C]4.43505494485185[/C][C]0.0260638372823295[/C][/ROW]
[ROW][C]0.82[/C][C]4.44005029057714[/C][C]0.0184685267707727[/C][/ROW]
[ROW][C]0.83[/C][C]4.44363945372711[/C][C]0.0127578003234222[/C][/ROW]
[ROW][C]0.84[/C][C]4.4462064884084[/C][C]0.00872948812327395[/C][/ROW]
[ROW][C]0.85[/C][C]4.44810022416045[/C][C]0.00611723396441382[/C][/ROW]
[ROW][C]0.86[/C][C]4.44963561459319[/C][C]0.00470694632878095[/C][/ROW]
[ROW][C]0.87[/C][C]4.45111672611732[/C][C]0.00439314040619008[/C][/ROW]
[ROW][C]0.88[/C][C]4.45288579997746[/C][C]0.00517011255846845[/C][/ROW]
[ROW][C]0.89[/C][C]4.45540896768278[/C][C]0.0072194836553957[/C][/ROW]
[ROW][C]0.9[/C][C]4.45940669810757[/C][C]0.0111412246633752[/C][/ROW]
[ROW][C]0.91[/C][C]4.46600891390912[/C][C]0.0179749669222247[/C][/ROW]
[ROW][C]0.92[/C][C]4.47684614058186[/C][C]0.0288592239171363[/C][/ROW]
[ROW][C]0.93[/C][C]4.49389114494453[/C][C]0.0441603462249108[/C][/ROW]
[ROW][C]0.94[/C][C]4.51881667639078[/C][C]0.0621524264367243[/C][/ROW]
[ROW][C]0.95[/C][C]4.55178857454017[/C][C]0.0778427554424052[/C][/ROW]
[ROW][C]0.96[/C][C]4.59010919677311[/C][C]0.0835105911009455[/C][/ROW]
[ROW][C]0.97[/C][C]4.6278198857677[/C][C]0.0725824212521754[/C][/ROW]
[ROW][C]0.98[/C][C]4.65754624737198[/C][C]0.0461925291736632[/C][/ROW]
[ROW][C]0.99[/C][C]4.67452094529004[/C][C]0.0166663342433787[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9730&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9730&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
0.013.35199912070890.00640183434299285
0.023.358306910430310.0176936506511239
0.033.369202722317470.0265853961684677
0.043.382473742518120.0283617991443049
0.053.395123360208890.0239381766578776
0.063.405122708772560.0169724257927178
0.073.411938252886320.0105306953907022
0.083.416087448502070.00598900940531191
0.093.418478459460520.00355299116464784
0.13.419982834577980.00321240377489799
0.113.421291441307150.0047003820613881
0.123.422928743450510.0075632847966602
0.133.425303507835960.0116408682233291
0.143.428734264959730.0167397447784842
0.153.433438774330600.0224695525958482
0.163.439503692731670.028240375930038
0.173.446858610171690.0333658887598825
0.183.455274501634020.0372005324389441
0.193.464395736277100.0393092579114472
0.23.473801829616170.0395595958321501
0.213.483084620162780.0381701028222697
0.223.491921751116550.0356528425456871
0.233.500129154865330.0327165089720434
0.243.507682137191910.030133206904226
0.253.514703615300440.0286007836831104
0.263.521425987294060.0285846350725955
0.273.528137958959890.0301844619852837
0.283.535128836597810.0331393864918489
0.293.542640915091030.0369923689251386
0.33.550836869772240.0412318009853348
0.313.559784797406920.0453751430184610
0.323.569459789442660.0490344325169881
0.333.579758318730810.0519184507609547
0.343.590520538733860.053852625311059
0.353.601555724767070.0547882833920573
0.363.612667129627860.0547628708687304
0.373.623673918671860.0538984694699455
0.383.634429051885390.0523904987110436
0.393.644832659188480.0504825150915215
0.43.654840590093440.0484659907079122
0.413.664467678365960.04665535214632
0.423.673785250150880.0453599952792509
0.433.682912844634140.0448502674234149
0.443.692005076901170.0452912744187015
0.453.701235802496180.0467245883256891
0.463.710782759062540.0490854711898397
0.473.720816143302330.0522235427634039
0.483.73149380404690.0560165208634602
0.493.742963925701090.0603968298683432
0.53.755373668693510.0653941237736006
0.513.768879939788960.0711428793341726
0.523.783657063592720.0778333980446166
0.533.799896197283180.0856023670960594
0.543.817793045133430.094472545000553
0.553.837523466200780.104265821665266
0.563.859210184130640.114570241084289
0.573.882887040284720.124787673974177
0.583.908469167617150.134177882972886
0.593.935737485449520.141977684295389
0.63.964343855851820.147530121899595
0.613.993839411490590.150369765240775
0.624.023723676078380.150348824802255
0.634.053507127515510.147679858218276
0.644.082775875370640.142906967026260
0.654.111245145235650.136852940902718
0.664.138789039957560.130491115124381
0.674.165437883791290.124736642801316
0.684.191340990250330.120262569289005
0.694.216700777964440.117285850164704
0.74.241691919596000.115485033045452
0.714.266384413945860.114087066404560
0.724.290690171358680.112079135619905
0.734.314347995105850.108489615732562
0.744.336952452059150.102655818797251
0.754.358020480804120.0943454475067365
0.764.377079199705180.0838311052043857
0.774.39375267469210.0717810232404514
0.784.407826391471550.0591104614576716
0.794.419275544487070.0467702048444103
0.84.428254396169890.0355769535428117
0.814.435054944851850.0260638372823295
0.824.440050290577140.0184685267707727
0.834.443639453727110.0127578003234222
0.844.44620648840840.00872948812327395
0.854.448100224160450.00611723396441382
0.864.449635614593190.00470694632878095
0.874.451116726117320.00439314040619008
0.884.452885799977460.00517011255846845
0.894.455408967682780.0072194836553957
0.94.459406698107570.0111412246633752
0.914.466008913909120.0179749669222247
0.924.476846140581860.0288592239171363
0.934.493891144944530.0441603462249108
0.944.518816676390780.0621524264367243
0.954.551788574540170.0778427554424052
0.964.590109196773110.0835105911009455
0.974.62781988576770.0725824212521754
0.984.657546247371980.0461925291736632
0.994.674520945290040.0166663342433787



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')