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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 computationFri, 10 Mar 2017 10:15:41 +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/2017/Mar/10/t1489141348091qfodnrt7r2pt.htm/, Retrieved Sat, 16 May 2026 21:49:19 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 16 May 2026 21:49:19 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsOpdracht4_oef2.2_inflatie_iko
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3,65
3,66
3,36
3,19
2,81
2,25
2,32
2,85
2,75
2,78
2,26
2,23
1,46
1,19
1,11
1
1,18
1,59
1,51
1,01
0,9
0,63
0,81
0,97
1,14
0,97
0,89
0,62
0,36
0,27
0,34
0,02
-0,12
0,09
-0,11
-0,38
-0,65
-0,4
-0,4
0,29
0,56
0,63
0,46
0,91
1,06
1,28
1,52
1,5
1,74
1,39
2,24
2,04
2,2
2,16
2,28
2,16
1,87
1,81
1,77
2,03
2,65

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.5973323020258090.201184531373698
0.02-0.524332945967670.148286935162869
0.03-0.4524745484916820.117133895766916
0.04-0.3889872097274310.119643220837655
0.05-0.331215565892140.141615021322398
0.06-0.2745245293417180.165822426998902
0.07-0.2163325419235690.184460809494171
0.08-0.1564364818766180.196032027992647
0.09-0.09590037212241840.201872614244197
0.1-0.03602099709567020.203869864291177
0.110.02218831938497640.203367270970817
0.120.0781078122127330.201075822333373
0.130.1314414609231460.197447674393511
0.140.1821199813305710.193005062260304
0.150.2302326060101760.188418708119218
0.160.2759855518758510.184381283811581
0.170.3196684826864410.181410422912492
0.180.3616169176498350.1797185864893
0.190.4021703942493760.179204209062354
0.20.4416333511808870.179545517412961
0.210.4802461599383910.180334587817014
0.220.5181699873492550.18117787471281
0.230.5554846988902410.181745129729482
0.240.5921961843566010.181770102105413
0.250.628248963976970.181033681913704
0.260.6635410738756730.179354291002034
0.270.6979398801440330.176598095754374
0.280.7312986527638730.172696636493512
0.290.7634740063597620.167685686201831
0.30.7943438034981310.161717735708897
0.310.8238242800660350.15507237355679
0.320.8518845089097640.148132062914713
0.330.878556212924640.141347634536646
0.340.903937444891340.135188069559208
0.350.9281895962412560.130089626543173
0.360.9515282739881930.126403686256259
0.370.9742094856195530.124363524485832
0.380.9965130876142840.124068718521727
0.391.018725522939230.125493720142495
0.41.041123570750890.128499748742627
0.411.063960317681040.132874504733206
0.421.087454015390250.138357259799874
0.431.111780057821740.1446549473908
0.441.137066066014420.151464576807353
0.451.163390000299820.158475273316082
0.461.190781256948580.165393726450702
0.471.219224745426320.171948804419991
0.481.248667887858960.177918006701249
0.491.27903028065410.18314630615816
0.51.310215418014940.187562698558778
0.511.34212346898460.191188864156162
0.521.374663736631220.19413637688927
0.531.407765231043680.196592303107258
0.541.441383847589560.198785531448179
0.551.475504988059870.200954802091973
0.561.510141050928230.203295664019079
0.571.545323940256690.205927022752247
0.581.581093458859090.208866982725476
0.591.617483023782240.212024215524815
0.61.654504476820950.215204899426819
0.611.692133829366880.218129721412933
0.621.730299613119840.220474355008432
0.631.768875183804850.221888005534718
0.641.807675934618390.222028163797434
0.651.846461993146160.220590372986442
0.661.884946638600110.217329634658482
0.671.922810388505640.212099296324336
0.681.959720445873570.204862828795634
0.691.995354943971770.19571908841883
0.72.029431154115370.184918035203249
0.712.061736509603370.172870693701768
0.722.092160907666080.16014256013745
0.732.120728216281190.147455429593332
0.742.147624156236140.135681850814389
0.752.173216714808190.125831515725577
0.762.198064077952350.11902528808114
0.772.222904094072080.116391940571896
0.782.248619171009670.118829666974772
0.792.276172182492330.12668523060083
0.82.306513344966350.139517232941687
0.812.34046557144740.156100547988243
0.822.378605887167980.174586405723511
0.832.421170871263320.192739109558412
0.842.468020821975340.20827272911194
0.852.51869540958380.219285934777624
0.862.572578506916660.224785793228683
0.872.629160226034060.225167534968114
0.882.688344212203740.222501262118283
0.892.750709424148750.220379689543538
0.92.817614813382340.222972835273361
0.912.891047742046990.233142377551775
0.922.973165153490070.250485259447013
0.933.065542934946970.270888607271369
0.943.168208090303880.287735654691105
0.953.278587418108650.293331940586048
0.963.39064416173950.279488741101971
0.973.494783989886090.238279377701646
0.983.57946214415430.166754639557616
0.993.635191092441610.0779014037879368

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.597332302025809 & 0.201184531373698 \tabularnewline
0.02 & -0.52433294596767 & 0.148286935162869 \tabularnewline
0.03 & -0.452474548491682 & 0.117133895766916 \tabularnewline
0.04 & -0.388987209727431 & 0.119643220837655 \tabularnewline
0.05 & -0.33121556589214 & 0.141615021322398 \tabularnewline
0.06 & -0.274524529341718 & 0.165822426998902 \tabularnewline
0.07 & -0.216332541923569 & 0.184460809494171 \tabularnewline
0.08 & -0.156436481876618 & 0.196032027992647 \tabularnewline
0.09 & -0.0959003721224184 & 0.201872614244197 \tabularnewline
0.1 & -0.0360209970956702 & 0.203869864291177 \tabularnewline
0.11 & 0.0221883193849764 & 0.203367270970817 \tabularnewline
0.12 & 0.078107812212733 & 0.201075822333373 \tabularnewline
0.13 & 0.131441460923146 & 0.197447674393511 \tabularnewline
0.14 & 0.182119981330571 & 0.193005062260304 \tabularnewline
0.15 & 0.230232606010176 & 0.188418708119218 \tabularnewline
0.16 & 0.275985551875851 & 0.184381283811581 \tabularnewline
0.17 & 0.319668482686441 & 0.181410422912492 \tabularnewline
0.18 & 0.361616917649835 & 0.1797185864893 \tabularnewline
0.19 & 0.402170394249376 & 0.179204209062354 \tabularnewline
0.2 & 0.441633351180887 & 0.179545517412961 \tabularnewline
0.21 & 0.480246159938391 & 0.180334587817014 \tabularnewline
0.22 & 0.518169987349255 & 0.18117787471281 \tabularnewline
0.23 & 0.555484698890241 & 0.181745129729482 \tabularnewline
0.24 & 0.592196184356601 & 0.181770102105413 \tabularnewline
0.25 & 0.62824896397697 & 0.181033681913704 \tabularnewline
0.26 & 0.663541073875673 & 0.179354291002034 \tabularnewline
0.27 & 0.697939880144033 & 0.176598095754374 \tabularnewline
0.28 & 0.731298652763873 & 0.172696636493512 \tabularnewline
0.29 & 0.763474006359762 & 0.167685686201831 \tabularnewline
0.3 & 0.794343803498131 & 0.161717735708897 \tabularnewline
0.31 & 0.823824280066035 & 0.15507237355679 \tabularnewline
0.32 & 0.851884508909764 & 0.148132062914713 \tabularnewline
0.33 & 0.87855621292464 & 0.141347634536646 \tabularnewline
0.34 & 0.90393744489134 & 0.135188069559208 \tabularnewline
0.35 & 0.928189596241256 & 0.130089626543173 \tabularnewline
0.36 & 0.951528273988193 & 0.126403686256259 \tabularnewline
0.37 & 0.974209485619553 & 0.124363524485832 \tabularnewline
0.38 & 0.996513087614284 & 0.124068718521727 \tabularnewline
0.39 & 1.01872552293923 & 0.125493720142495 \tabularnewline
0.4 & 1.04112357075089 & 0.128499748742627 \tabularnewline
0.41 & 1.06396031768104 & 0.132874504733206 \tabularnewline
0.42 & 1.08745401539025 & 0.138357259799874 \tabularnewline
0.43 & 1.11178005782174 & 0.1446549473908 \tabularnewline
0.44 & 1.13706606601442 & 0.151464576807353 \tabularnewline
0.45 & 1.16339000029982 & 0.158475273316082 \tabularnewline
0.46 & 1.19078125694858 & 0.165393726450702 \tabularnewline
0.47 & 1.21922474542632 & 0.171948804419991 \tabularnewline
0.48 & 1.24866788785896 & 0.177918006701249 \tabularnewline
0.49 & 1.2790302806541 & 0.18314630615816 \tabularnewline
0.5 & 1.31021541801494 & 0.187562698558778 \tabularnewline
0.51 & 1.3421234689846 & 0.191188864156162 \tabularnewline
0.52 & 1.37466373663122 & 0.19413637688927 \tabularnewline
0.53 & 1.40776523104368 & 0.196592303107258 \tabularnewline
0.54 & 1.44138384758956 & 0.198785531448179 \tabularnewline
0.55 & 1.47550498805987 & 0.200954802091973 \tabularnewline
0.56 & 1.51014105092823 & 0.203295664019079 \tabularnewline
0.57 & 1.54532394025669 & 0.205927022752247 \tabularnewline
0.58 & 1.58109345885909 & 0.208866982725476 \tabularnewline
0.59 & 1.61748302378224 & 0.212024215524815 \tabularnewline
0.6 & 1.65450447682095 & 0.215204899426819 \tabularnewline
0.61 & 1.69213382936688 & 0.218129721412933 \tabularnewline
0.62 & 1.73029961311984 & 0.220474355008432 \tabularnewline
0.63 & 1.76887518380485 & 0.221888005534718 \tabularnewline
0.64 & 1.80767593461839 & 0.222028163797434 \tabularnewline
0.65 & 1.84646199314616 & 0.220590372986442 \tabularnewline
0.66 & 1.88494663860011 & 0.217329634658482 \tabularnewline
0.67 & 1.92281038850564 & 0.212099296324336 \tabularnewline
0.68 & 1.95972044587357 & 0.204862828795634 \tabularnewline
0.69 & 1.99535494397177 & 0.19571908841883 \tabularnewline
0.7 & 2.02943115411537 & 0.184918035203249 \tabularnewline
0.71 & 2.06173650960337 & 0.172870693701768 \tabularnewline
0.72 & 2.09216090766608 & 0.16014256013745 \tabularnewline
0.73 & 2.12072821628119 & 0.147455429593332 \tabularnewline
0.74 & 2.14762415623614 & 0.135681850814389 \tabularnewline
0.75 & 2.17321671480819 & 0.125831515725577 \tabularnewline
0.76 & 2.19806407795235 & 0.11902528808114 \tabularnewline
0.77 & 2.22290409407208 & 0.116391940571896 \tabularnewline
0.78 & 2.24861917100967 & 0.118829666974772 \tabularnewline
0.79 & 2.27617218249233 & 0.12668523060083 \tabularnewline
0.8 & 2.30651334496635 & 0.139517232941687 \tabularnewline
0.81 & 2.3404655714474 & 0.156100547988243 \tabularnewline
0.82 & 2.37860588716798 & 0.174586405723511 \tabularnewline
0.83 & 2.42117087126332 & 0.192739109558412 \tabularnewline
0.84 & 2.46802082197534 & 0.20827272911194 \tabularnewline
0.85 & 2.5186954095838 & 0.219285934777624 \tabularnewline
0.86 & 2.57257850691666 & 0.224785793228683 \tabularnewline
0.87 & 2.62916022603406 & 0.225167534968114 \tabularnewline
0.88 & 2.68834421220374 & 0.222501262118283 \tabularnewline
0.89 & 2.75070942414875 & 0.220379689543538 \tabularnewline
0.9 & 2.81761481338234 & 0.222972835273361 \tabularnewline
0.91 & 2.89104774204699 & 0.233142377551775 \tabularnewline
0.92 & 2.97316515349007 & 0.250485259447013 \tabularnewline
0.93 & 3.06554293494697 & 0.270888607271369 \tabularnewline
0.94 & 3.16820809030388 & 0.287735654691105 \tabularnewline
0.95 & 3.27858741810865 & 0.293331940586048 \tabularnewline
0.96 & 3.3906441617395 & 0.279488741101971 \tabularnewline
0.97 & 3.49478398988609 & 0.238279377701646 \tabularnewline
0.98 & 3.5794621441543 & 0.166754639557616 \tabularnewline
0.99 & 3.63519109244161 & 0.0779014037879368 \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]-0.597332302025809[/C][C]0.201184531373698[/C][/ROW]
[ROW][C]0.02[/C][C]-0.52433294596767[/C][C]0.148286935162869[/C][/ROW]
[ROW][C]0.03[/C][C]-0.452474548491682[/C][C]0.117133895766916[/C][/ROW]
[ROW][C]0.04[/C][C]-0.388987209727431[/C][C]0.119643220837655[/C][/ROW]
[ROW][C]0.05[/C][C]-0.33121556589214[/C][C]0.141615021322398[/C][/ROW]
[ROW][C]0.06[/C][C]-0.274524529341718[/C][C]0.165822426998902[/C][/ROW]
[ROW][C]0.07[/C][C]-0.216332541923569[/C][C]0.184460809494171[/C][/ROW]
[ROW][C]0.08[/C][C]-0.156436481876618[/C][C]0.196032027992647[/C][/ROW]
[ROW][C]0.09[/C][C]-0.0959003721224184[/C][C]0.201872614244197[/C][/ROW]
[ROW][C]0.1[/C][C]-0.0360209970956702[/C][C]0.203869864291177[/C][/ROW]
[ROW][C]0.11[/C][C]0.0221883193849764[/C][C]0.203367270970817[/C][/ROW]
[ROW][C]0.12[/C][C]0.078107812212733[/C][C]0.201075822333373[/C][/ROW]
[ROW][C]0.13[/C][C]0.131441460923146[/C][C]0.197447674393511[/C][/ROW]
[ROW][C]0.14[/C][C]0.182119981330571[/C][C]0.193005062260304[/C][/ROW]
[ROW][C]0.15[/C][C]0.230232606010176[/C][C]0.188418708119218[/C][/ROW]
[ROW][C]0.16[/C][C]0.275985551875851[/C][C]0.184381283811581[/C][/ROW]
[ROW][C]0.17[/C][C]0.319668482686441[/C][C]0.181410422912492[/C][/ROW]
[ROW][C]0.18[/C][C]0.361616917649835[/C][C]0.1797185864893[/C][/ROW]
[ROW][C]0.19[/C][C]0.402170394249376[/C][C]0.179204209062354[/C][/ROW]
[ROW][C]0.2[/C][C]0.441633351180887[/C][C]0.179545517412961[/C][/ROW]
[ROW][C]0.21[/C][C]0.480246159938391[/C][C]0.180334587817014[/C][/ROW]
[ROW][C]0.22[/C][C]0.518169987349255[/C][C]0.18117787471281[/C][/ROW]
[ROW][C]0.23[/C][C]0.555484698890241[/C][C]0.181745129729482[/C][/ROW]
[ROW][C]0.24[/C][C]0.592196184356601[/C][C]0.181770102105413[/C][/ROW]
[ROW][C]0.25[/C][C]0.62824896397697[/C][C]0.181033681913704[/C][/ROW]
[ROW][C]0.26[/C][C]0.663541073875673[/C][C]0.179354291002034[/C][/ROW]
[ROW][C]0.27[/C][C]0.697939880144033[/C][C]0.176598095754374[/C][/ROW]
[ROW][C]0.28[/C][C]0.731298652763873[/C][C]0.172696636493512[/C][/ROW]
[ROW][C]0.29[/C][C]0.763474006359762[/C][C]0.167685686201831[/C][/ROW]
[ROW][C]0.3[/C][C]0.794343803498131[/C][C]0.161717735708897[/C][/ROW]
[ROW][C]0.31[/C][C]0.823824280066035[/C][C]0.15507237355679[/C][/ROW]
[ROW][C]0.32[/C][C]0.851884508909764[/C][C]0.148132062914713[/C][/ROW]
[ROW][C]0.33[/C][C]0.87855621292464[/C][C]0.141347634536646[/C][/ROW]
[ROW][C]0.34[/C][C]0.90393744489134[/C][C]0.135188069559208[/C][/ROW]
[ROW][C]0.35[/C][C]0.928189596241256[/C][C]0.130089626543173[/C][/ROW]
[ROW][C]0.36[/C][C]0.951528273988193[/C][C]0.126403686256259[/C][/ROW]
[ROW][C]0.37[/C][C]0.974209485619553[/C][C]0.124363524485832[/C][/ROW]
[ROW][C]0.38[/C][C]0.996513087614284[/C][C]0.124068718521727[/C][/ROW]
[ROW][C]0.39[/C][C]1.01872552293923[/C][C]0.125493720142495[/C][/ROW]
[ROW][C]0.4[/C][C]1.04112357075089[/C][C]0.128499748742627[/C][/ROW]
[ROW][C]0.41[/C][C]1.06396031768104[/C][C]0.132874504733206[/C][/ROW]
[ROW][C]0.42[/C][C]1.08745401539025[/C][C]0.138357259799874[/C][/ROW]
[ROW][C]0.43[/C][C]1.11178005782174[/C][C]0.1446549473908[/C][/ROW]
[ROW][C]0.44[/C][C]1.13706606601442[/C][C]0.151464576807353[/C][/ROW]
[ROW][C]0.45[/C][C]1.16339000029982[/C][C]0.158475273316082[/C][/ROW]
[ROW][C]0.46[/C][C]1.19078125694858[/C][C]0.165393726450702[/C][/ROW]
[ROW][C]0.47[/C][C]1.21922474542632[/C][C]0.171948804419991[/C][/ROW]
[ROW][C]0.48[/C][C]1.24866788785896[/C][C]0.177918006701249[/C][/ROW]
[ROW][C]0.49[/C][C]1.2790302806541[/C][C]0.18314630615816[/C][/ROW]
[ROW][C]0.5[/C][C]1.31021541801494[/C][C]0.187562698558778[/C][/ROW]
[ROW][C]0.51[/C][C]1.3421234689846[/C][C]0.191188864156162[/C][/ROW]
[ROW][C]0.52[/C][C]1.37466373663122[/C][C]0.19413637688927[/C][/ROW]
[ROW][C]0.53[/C][C]1.40776523104368[/C][C]0.196592303107258[/C][/ROW]
[ROW][C]0.54[/C][C]1.44138384758956[/C][C]0.198785531448179[/C][/ROW]
[ROW][C]0.55[/C][C]1.47550498805987[/C][C]0.200954802091973[/C][/ROW]
[ROW][C]0.56[/C][C]1.51014105092823[/C][C]0.203295664019079[/C][/ROW]
[ROW][C]0.57[/C][C]1.54532394025669[/C][C]0.205927022752247[/C][/ROW]
[ROW][C]0.58[/C][C]1.58109345885909[/C][C]0.208866982725476[/C][/ROW]
[ROW][C]0.59[/C][C]1.61748302378224[/C][C]0.212024215524815[/C][/ROW]
[ROW][C]0.6[/C][C]1.65450447682095[/C][C]0.215204899426819[/C][/ROW]
[ROW][C]0.61[/C][C]1.69213382936688[/C][C]0.218129721412933[/C][/ROW]
[ROW][C]0.62[/C][C]1.73029961311984[/C][C]0.220474355008432[/C][/ROW]
[ROW][C]0.63[/C][C]1.76887518380485[/C][C]0.221888005534718[/C][/ROW]
[ROW][C]0.64[/C][C]1.80767593461839[/C][C]0.222028163797434[/C][/ROW]
[ROW][C]0.65[/C][C]1.84646199314616[/C][C]0.220590372986442[/C][/ROW]
[ROW][C]0.66[/C][C]1.88494663860011[/C][C]0.217329634658482[/C][/ROW]
[ROW][C]0.67[/C][C]1.92281038850564[/C][C]0.212099296324336[/C][/ROW]
[ROW][C]0.68[/C][C]1.95972044587357[/C][C]0.204862828795634[/C][/ROW]
[ROW][C]0.69[/C][C]1.99535494397177[/C][C]0.19571908841883[/C][/ROW]
[ROW][C]0.7[/C][C]2.02943115411537[/C][C]0.184918035203249[/C][/ROW]
[ROW][C]0.71[/C][C]2.06173650960337[/C][C]0.172870693701768[/C][/ROW]
[ROW][C]0.72[/C][C]2.09216090766608[/C][C]0.16014256013745[/C][/ROW]
[ROW][C]0.73[/C][C]2.12072821628119[/C][C]0.147455429593332[/C][/ROW]
[ROW][C]0.74[/C][C]2.14762415623614[/C][C]0.135681850814389[/C][/ROW]
[ROW][C]0.75[/C][C]2.17321671480819[/C][C]0.125831515725577[/C][/ROW]
[ROW][C]0.76[/C][C]2.19806407795235[/C][C]0.11902528808114[/C][/ROW]
[ROW][C]0.77[/C][C]2.22290409407208[/C][C]0.116391940571896[/C][/ROW]
[ROW][C]0.78[/C][C]2.24861917100967[/C][C]0.118829666974772[/C][/ROW]
[ROW][C]0.79[/C][C]2.27617218249233[/C][C]0.12668523060083[/C][/ROW]
[ROW][C]0.8[/C][C]2.30651334496635[/C][C]0.139517232941687[/C][/ROW]
[ROW][C]0.81[/C][C]2.3404655714474[/C][C]0.156100547988243[/C][/ROW]
[ROW][C]0.82[/C][C]2.37860588716798[/C][C]0.174586405723511[/C][/ROW]
[ROW][C]0.83[/C][C]2.42117087126332[/C][C]0.192739109558412[/C][/ROW]
[ROW][C]0.84[/C][C]2.46802082197534[/C][C]0.20827272911194[/C][/ROW]
[ROW][C]0.85[/C][C]2.5186954095838[/C][C]0.219285934777624[/C][/ROW]
[ROW][C]0.86[/C][C]2.57257850691666[/C][C]0.224785793228683[/C][/ROW]
[ROW][C]0.87[/C][C]2.62916022603406[/C][C]0.225167534968114[/C][/ROW]
[ROW][C]0.88[/C][C]2.68834421220374[/C][C]0.222501262118283[/C][/ROW]
[ROW][C]0.89[/C][C]2.75070942414875[/C][C]0.220379689543538[/C][/ROW]
[ROW][C]0.9[/C][C]2.81761481338234[/C][C]0.222972835273361[/C][/ROW]
[ROW][C]0.91[/C][C]2.89104774204699[/C][C]0.233142377551775[/C][/ROW]
[ROW][C]0.92[/C][C]2.97316515349007[/C][C]0.250485259447013[/C][/ROW]
[ROW][C]0.93[/C][C]3.06554293494697[/C][C]0.270888607271369[/C][/ROW]
[ROW][C]0.94[/C][C]3.16820809030388[/C][C]0.287735654691105[/C][/ROW]
[ROW][C]0.95[/C][C]3.27858741810865[/C][C]0.293331940586048[/C][/ROW]
[ROW][C]0.96[/C][C]3.3906441617395[/C][C]0.279488741101971[/C][/ROW]
[ROW][C]0.97[/C][C]3.49478398988609[/C][C]0.238279377701646[/C][/ROW]
[ROW][C]0.98[/C][C]3.5794621441543[/C][C]0.166754639557616[/C][/ROW]
[ROW][C]0.99[/C][C]3.63519109244161[/C][C]0.0779014037879368[/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
0.01-0.5973323020258090.201184531373698
0.02-0.524332945967670.148286935162869
0.03-0.4524745484916820.117133895766916
0.04-0.3889872097274310.119643220837655
0.05-0.331215565892140.141615021322398
0.06-0.2745245293417180.165822426998902
0.07-0.2163325419235690.184460809494171
0.08-0.1564364818766180.196032027992647
0.09-0.09590037212241840.201872614244197
0.1-0.03602099709567020.203869864291177
0.110.02218831938497640.203367270970817
0.120.0781078122127330.201075822333373
0.130.1314414609231460.197447674393511
0.140.1821199813305710.193005062260304
0.150.2302326060101760.188418708119218
0.160.2759855518758510.184381283811581
0.170.3196684826864410.181410422912492
0.180.3616169176498350.1797185864893
0.190.4021703942493760.179204209062354
0.20.4416333511808870.179545517412961
0.210.4802461599383910.180334587817014
0.220.5181699873492550.18117787471281
0.230.5554846988902410.181745129729482
0.240.5921961843566010.181770102105413
0.250.628248963976970.181033681913704
0.260.6635410738756730.179354291002034
0.270.6979398801440330.176598095754374
0.280.7312986527638730.172696636493512
0.290.7634740063597620.167685686201831
0.30.7943438034981310.161717735708897
0.310.8238242800660350.15507237355679
0.320.8518845089097640.148132062914713
0.330.878556212924640.141347634536646
0.340.903937444891340.135188069559208
0.350.9281895962412560.130089626543173
0.360.9515282739881930.126403686256259
0.370.9742094856195530.124363524485832
0.380.9965130876142840.124068718521727
0.391.018725522939230.125493720142495
0.41.041123570750890.128499748742627
0.411.063960317681040.132874504733206
0.421.087454015390250.138357259799874
0.431.111780057821740.1446549473908
0.441.137066066014420.151464576807353
0.451.163390000299820.158475273316082
0.461.190781256948580.165393726450702
0.471.219224745426320.171948804419991
0.481.248667887858960.177918006701249
0.491.27903028065410.18314630615816
0.51.310215418014940.187562698558778
0.511.34212346898460.191188864156162
0.521.374663736631220.19413637688927
0.531.407765231043680.196592303107258
0.541.441383847589560.198785531448179
0.551.475504988059870.200954802091973
0.561.510141050928230.203295664019079
0.571.545323940256690.205927022752247
0.581.581093458859090.208866982725476
0.591.617483023782240.212024215524815
0.61.654504476820950.215204899426819
0.611.692133829366880.218129721412933
0.621.730299613119840.220474355008432
0.631.768875183804850.221888005534718
0.641.807675934618390.222028163797434
0.651.846461993146160.220590372986442
0.661.884946638600110.217329634658482
0.671.922810388505640.212099296324336
0.681.959720445873570.204862828795634
0.691.995354943971770.19571908841883
0.72.029431154115370.184918035203249
0.712.061736509603370.172870693701768
0.722.092160907666080.16014256013745
0.732.120728216281190.147455429593332
0.742.147624156236140.135681850814389
0.752.173216714808190.125831515725577
0.762.198064077952350.11902528808114
0.772.222904094072080.116391940571896
0.782.248619171009670.118829666974772
0.792.276172182492330.12668523060083
0.82.306513344966350.139517232941687
0.812.34046557144740.156100547988243
0.822.378605887167980.174586405723511
0.832.421170871263320.192739109558412
0.842.468020821975340.20827272911194
0.852.51869540958380.219285934777624
0.862.572578506916660.224785793228683
0.872.629160226034060.225167534968114
0.882.688344212203740.222501262118283
0.892.750709424148750.220379689543538
0.92.817614813382340.222972835273361
0.912.891047742046990.233142377551775
0.922.973165153490070.250485259447013
0.933.065542934946970.270888607271369
0.943.168208090303880.287735654691105
0.953.278587418108650.293331940586048
0.963.39064416173950.279488741101971
0.973.494783989886090.238279377701646
0.983.57946214415430.166754639557616
0.993.635191092441610.0779014037879368


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')