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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 01 Mar 2015 14:52:46 +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/2015/Mar/01/t1425221621dh2r7le8wc2joeh.htm/, Retrieved Fri, 17 May 2024 10:59:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277761, Retrieved Fri, 17 May 2024 10:59:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-03-01 14:52:46] [d914bdd201c4c4c9d1ef9c7d6dc756bd] [Current]
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Dataseries X:
4
4
4
4
4
4
4
4
4.06
4.07
4.07
4.07
4.07
4.07
4.3
4.44
4.52
4.52
4.52
4.53
4.53
4.53
4.53
4.53
4.53
4.53
4.53
4.61
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.66
4.7
4.72
4.73
4.73
4.74
4.74
4.74
4.76
4.88
4.88
4.88
4.88
4.89
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.98
5
5.03
5.04
5.04
5.05
5.05
5.05
5.06
5.06
5.06
5.07
5.09
5.18
5.23
5.25
5.26
5.28
5.29
5.29
5.29
5.29
5.3
5.3
5.3
5.32
5.33
5.33
5.37
5.45
5.47
5.5
5.51




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277761&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277761&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277761&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.000013757716526.80514395457128e-05
0.024.000131706555870.000540331126045107
0.034.000643350455090.00218407368163225
0.044.002135777280760.00593320525181791
0.054.005437277705450.0122799430665096
0.064.011390144073870.0208710894525854
0.074.020627346365480.0310095187026526
0.084.033566166564610.0426973120432584
0.094.050637725619540.0572730433869376
0.14.072526762394010.076475199410531
0.114.100143655604630.100590088644125
0.124.134242188269970.127365544525889
0.134.174865663419140.152496001915887
0.144.220941239055330.171060143939098
0.154.270265972401410.179256189830947
0.164.319914578883920.175612630582319
0.174.366894721548480.161310281937408
0.184.408788809708970.139576592609645
0.194.444169338277960.114556830499164
0.24.472701334108510.0901830571612829
0.214.494972497700520.0694081781765432
0.224.512165928666050.0539330057890773
0.234.52570061585160.0442699574938844
0.244.536931336925350.0398013735177952
0.254.546952030542810.039002899520366
0.264.556507126689950.0400730537146093
0.274.565992112329440.0415094065183247
0.284.575515742894960.0423488560330861
0.294.584995901695840.0421162963987795
0.34.594264325726160.0407946514502806
0.314.603160079368630.0386992970327981
0.324.611597425352680.036410760776096
0.334.619600605764390.0345646595783343
0.344.62730539318920.0337738205547156
0.354.634933856149040.0344007557763207
0.364.642753255372830.0365146447014951
0.374.651031486306510.0399016259534508
0.384.659999942758820.0441867890610934
0.394.669830796712190.0489978926894574
0.44.680630679121990.0540139703088329
0.414.692447981462570.0590231492184656
0.424.705287682704770.0639311867507664
0.434.719126491379540.0686857287280585
0.444.733922286812370.0732718342543428
0.454.749614787910650.0776072761454167
0.464.766118014762560.0815274546201067
0.474.783308229350640.0847834814462068
0.484.801012697840080.087069465391595
0.494.819004431178330.0880845433721272
0.54.837006310391740.0875815742962889
0.514.854705441072260.0854344081487882
0.524.87177609120590.0816458074827476
0.534.887907815384540.0763671372384002
0.544.902834616582590.0698795169636036
0.554.916361117538730.0625819827224967
0.564.928382375630710.054926895088343
0.574.938894859852210.0474178164216751
0.584.947997051593460.040536939021306
0.594.955879132858360.0347091441249929
0.64.962802362760720.0303064212666041
0.614.969070050663770.0275369432546283
0.624.974993425977390.026427321316446
0.634.980856959582320.0267390692848784
0.644.986888499749720.0280487547872094
0.654.993239625985660.0298504097380836
0.664.999980658710130.0316870963304627
0.675.007112718849630.0332267412865513
0.685.01459626246940.0343352207984074
0.695.022392013400520.0350822917839744
0.75.030506773013160.0357642149377213
0.715.039033917481470.0369073755504491
0.725.048177258609390.0391226437778742
0.735.058248060789910.0429461522479961
0.745.069628907753670.0486239479081756
0.755.082704884442540.0559485024144403
0.765.0977714295370.0642699813335761
0.775.114937300173150.0725472388581946
0.785.134047362084480.0795367973800343
0.795.154650102194130.0840189739453949
0.85.176026836002480.0850538793318747
0.815.197284353044890.082230329345631
0.825.217494435119410.0757519148699708
0.835.23584878218440.0664360225084039
0.845.251792417266070.0555175029110495
0.855.265105218567220.0443837598581412
0.865.275917620160890.0343097464124174
0.875.284666900401980.0262673049678695
0.885.292018603802360.0208820259859269
0.895.298789499515780.0184296830731607
0.95.305910820265590.0188796198202705
0.915.314454371898850.0220821228461053
0.925.325691397463980.0281386626561711
0.935.341058197876160.0371415441843783
0.945.361824168852490.0480603479021846
0.955.388357716324280.0576344297594457
0.965.419281326513420.0609030686864717
0.975.451230768249560.0543188986947131
0.985.479690034067110.0390801710228961
0.995.500308186522550.0209232547289872

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.00001375771652 & 6.80514395457128e-05 \tabularnewline
0.02 & 4.00013170655587 & 0.000540331126045107 \tabularnewline
0.03 & 4.00064335045509 & 0.00218407368163225 \tabularnewline
0.04 & 4.00213577728076 & 0.00593320525181791 \tabularnewline
0.05 & 4.00543727770545 & 0.0122799430665096 \tabularnewline
0.06 & 4.01139014407387 & 0.0208710894525854 \tabularnewline
0.07 & 4.02062734636548 & 0.0310095187026526 \tabularnewline
0.08 & 4.03356616656461 & 0.0426973120432584 \tabularnewline
0.09 & 4.05063772561954 & 0.0572730433869376 \tabularnewline
0.1 & 4.07252676239401 & 0.076475199410531 \tabularnewline
0.11 & 4.10014365560463 & 0.100590088644125 \tabularnewline
0.12 & 4.13424218826997 & 0.127365544525889 \tabularnewline
0.13 & 4.17486566341914 & 0.152496001915887 \tabularnewline
0.14 & 4.22094123905533 & 0.171060143939098 \tabularnewline
0.15 & 4.27026597240141 & 0.179256189830947 \tabularnewline
0.16 & 4.31991457888392 & 0.175612630582319 \tabularnewline
0.17 & 4.36689472154848 & 0.161310281937408 \tabularnewline
0.18 & 4.40878880970897 & 0.139576592609645 \tabularnewline
0.19 & 4.44416933827796 & 0.114556830499164 \tabularnewline
0.2 & 4.47270133410851 & 0.0901830571612829 \tabularnewline
0.21 & 4.49497249770052 & 0.0694081781765432 \tabularnewline
0.22 & 4.51216592866605 & 0.0539330057890773 \tabularnewline
0.23 & 4.5257006158516 & 0.0442699574938844 \tabularnewline
0.24 & 4.53693133692535 & 0.0398013735177952 \tabularnewline
0.25 & 4.54695203054281 & 0.039002899520366 \tabularnewline
0.26 & 4.55650712668995 & 0.0400730537146093 \tabularnewline
0.27 & 4.56599211232944 & 0.0415094065183247 \tabularnewline
0.28 & 4.57551574289496 & 0.0423488560330861 \tabularnewline
0.29 & 4.58499590169584 & 0.0421162963987795 \tabularnewline
0.3 & 4.59426432572616 & 0.0407946514502806 \tabularnewline
0.31 & 4.60316007936863 & 0.0386992970327981 \tabularnewline
0.32 & 4.61159742535268 & 0.036410760776096 \tabularnewline
0.33 & 4.61960060576439 & 0.0345646595783343 \tabularnewline
0.34 & 4.6273053931892 & 0.0337738205547156 \tabularnewline
0.35 & 4.63493385614904 & 0.0344007557763207 \tabularnewline
0.36 & 4.64275325537283 & 0.0365146447014951 \tabularnewline
0.37 & 4.65103148630651 & 0.0399016259534508 \tabularnewline
0.38 & 4.65999994275882 & 0.0441867890610934 \tabularnewline
0.39 & 4.66983079671219 & 0.0489978926894574 \tabularnewline
0.4 & 4.68063067912199 & 0.0540139703088329 \tabularnewline
0.41 & 4.69244798146257 & 0.0590231492184656 \tabularnewline
0.42 & 4.70528768270477 & 0.0639311867507664 \tabularnewline
0.43 & 4.71912649137954 & 0.0686857287280585 \tabularnewline
0.44 & 4.73392228681237 & 0.0732718342543428 \tabularnewline
0.45 & 4.74961478791065 & 0.0776072761454167 \tabularnewline
0.46 & 4.76611801476256 & 0.0815274546201067 \tabularnewline
0.47 & 4.78330822935064 & 0.0847834814462068 \tabularnewline
0.48 & 4.80101269784008 & 0.087069465391595 \tabularnewline
0.49 & 4.81900443117833 & 0.0880845433721272 \tabularnewline
0.5 & 4.83700631039174 & 0.0875815742962889 \tabularnewline
0.51 & 4.85470544107226 & 0.0854344081487882 \tabularnewline
0.52 & 4.8717760912059 & 0.0816458074827476 \tabularnewline
0.53 & 4.88790781538454 & 0.0763671372384002 \tabularnewline
0.54 & 4.90283461658259 & 0.0698795169636036 \tabularnewline
0.55 & 4.91636111753873 & 0.0625819827224967 \tabularnewline
0.56 & 4.92838237563071 & 0.054926895088343 \tabularnewline
0.57 & 4.93889485985221 & 0.0474178164216751 \tabularnewline
0.58 & 4.94799705159346 & 0.040536939021306 \tabularnewline
0.59 & 4.95587913285836 & 0.0347091441249929 \tabularnewline
0.6 & 4.96280236276072 & 0.0303064212666041 \tabularnewline
0.61 & 4.96907005066377 & 0.0275369432546283 \tabularnewline
0.62 & 4.97499342597739 & 0.026427321316446 \tabularnewline
0.63 & 4.98085695958232 & 0.0267390692848784 \tabularnewline
0.64 & 4.98688849974972 & 0.0280487547872094 \tabularnewline
0.65 & 4.99323962598566 & 0.0298504097380836 \tabularnewline
0.66 & 4.99998065871013 & 0.0316870963304627 \tabularnewline
0.67 & 5.00711271884963 & 0.0332267412865513 \tabularnewline
0.68 & 5.0145962624694 & 0.0343352207984074 \tabularnewline
0.69 & 5.02239201340052 & 0.0350822917839744 \tabularnewline
0.7 & 5.03050677301316 & 0.0357642149377213 \tabularnewline
0.71 & 5.03903391748147 & 0.0369073755504491 \tabularnewline
0.72 & 5.04817725860939 & 0.0391226437778742 \tabularnewline
0.73 & 5.05824806078991 & 0.0429461522479961 \tabularnewline
0.74 & 5.06962890775367 & 0.0486239479081756 \tabularnewline
0.75 & 5.08270488444254 & 0.0559485024144403 \tabularnewline
0.76 & 5.097771429537 & 0.0642699813335761 \tabularnewline
0.77 & 5.11493730017315 & 0.0725472388581946 \tabularnewline
0.78 & 5.13404736208448 & 0.0795367973800343 \tabularnewline
0.79 & 5.15465010219413 & 0.0840189739453949 \tabularnewline
0.8 & 5.17602683600248 & 0.0850538793318747 \tabularnewline
0.81 & 5.19728435304489 & 0.082230329345631 \tabularnewline
0.82 & 5.21749443511941 & 0.0757519148699708 \tabularnewline
0.83 & 5.2358487821844 & 0.0664360225084039 \tabularnewline
0.84 & 5.25179241726607 & 0.0555175029110495 \tabularnewline
0.85 & 5.26510521856722 & 0.0443837598581412 \tabularnewline
0.86 & 5.27591762016089 & 0.0343097464124174 \tabularnewline
0.87 & 5.28466690040198 & 0.0262673049678695 \tabularnewline
0.88 & 5.29201860380236 & 0.0208820259859269 \tabularnewline
0.89 & 5.29878949951578 & 0.0184296830731607 \tabularnewline
0.9 & 5.30591082026559 & 0.0188796198202705 \tabularnewline
0.91 & 5.31445437189885 & 0.0220821228461053 \tabularnewline
0.92 & 5.32569139746398 & 0.0281386626561711 \tabularnewline
0.93 & 5.34105819787616 & 0.0371415441843783 \tabularnewline
0.94 & 5.36182416885249 & 0.0480603479021846 \tabularnewline
0.95 & 5.38835771632428 & 0.0576344297594457 \tabularnewline
0.96 & 5.41928132651342 & 0.0609030686864717 \tabularnewline
0.97 & 5.45123076824956 & 0.0543188986947131 \tabularnewline
0.98 & 5.47969003406711 & 0.0390801710228961 \tabularnewline
0.99 & 5.50030818652255 & 0.0209232547289872 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277761&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]4.00001375771652[/C][C]6.80514395457128e-05[/C][/ROW]
[ROW][C]0.02[/C][C]4.00013170655587[/C][C]0.000540331126045107[/C][/ROW]
[ROW][C]0.03[/C][C]4.00064335045509[/C][C]0.00218407368163225[/C][/ROW]
[ROW][C]0.04[/C][C]4.00213577728076[/C][C]0.00593320525181791[/C][/ROW]
[ROW][C]0.05[/C][C]4.00543727770545[/C][C]0.0122799430665096[/C][/ROW]
[ROW][C]0.06[/C][C]4.01139014407387[/C][C]0.0208710894525854[/C][/ROW]
[ROW][C]0.07[/C][C]4.02062734636548[/C][C]0.0310095187026526[/C][/ROW]
[ROW][C]0.08[/C][C]4.03356616656461[/C][C]0.0426973120432584[/C][/ROW]
[ROW][C]0.09[/C][C]4.05063772561954[/C][C]0.0572730433869376[/C][/ROW]
[ROW][C]0.1[/C][C]4.07252676239401[/C][C]0.076475199410531[/C][/ROW]
[ROW][C]0.11[/C][C]4.10014365560463[/C][C]0.100590088644125[/C][/ROW]
[ROW][C]0.12[/C][C]4.13424218826997[/C][C]0.127365544525889[/C][/ROW]
[ROW][C]0.13[/C][C]4.17486566341914[/C][C]0.152496001915887[/C][/ROW]
[ROW][C]0.14[/C][C]4.22094123905533[/C][C]0.171060143939098[/C][/ROW]
[ROW][C]0.15[/C][C]4.27026597240141[/C][C]0.179256189830947[/C][/ROW]
[ROW][C]0.16[/C][C]4.31991457888392[/C][C]0.175612630582319[/C][/ROW]
[ROW][C]0.17[/C][C]4.36689472154848[/C][C]0.161310281937408[/C][/ROW]
[ROW][C]0.18[/C][C]4.40878880970897[/C][C]0.139576592609645[/C][/ROW]
[ROW][C]0.19[/C][C]4.44416933827796[/C][C]0.114556830499164[/C][/ROW]
[ROW][C]0.2[/C][C]4.47270133410851[/C][C]0.0901830571612829[/C][/ROW]
[ROW][C]0.21[/C][C]4.49497249770052[/C][C]0.0694081781765432[/C][/ROW]
[ROW][C]0.22[/C][C]4.51216592866605[/C][C]0.0539330057890773[/C][/ROW]
[ROW][C]0.23[/C][C]4.5257006158516[/C][C]0.0442699574938844[/C][/ROW]
[ROW][C]0.24[/C][C]4.53693133692535[/C][C]0.0398013735177952[/C][/ROW]
[ROW][C]0.25[/C][C]4.54695203054281[/C][C]0.039002899520366[/C][/ROW]
[ROW][C]0.26[/C][C]4.55650712668995[/C][C]0.0400730537146093[/C][/ROW]
[ROW][C]0.27[/C][C]4.56599211232944[/C][C]0.0415094065183247[/C][/ROW]
[ROW][C]0.28[/C][C]4.57551574289496[/C][C]0.0423488560330861[/C][/ROW]
[ROW][C]0.29[/C][C]4.58499590169584[/C][C]0.0421162963987795[/C][/ROW]
[ROW][C]0.3[/C][C]4.59426432572616[/C][C]0.0407946514502806[/C][/ROW]
[ROW][C]0.31[/C][C]4.60316007936863[/C][C]0.0386992970327981[/C][/ROW]
[ROW][C]0.32[/C][C]4.61159742535268[/C][C]0.036410760776096[/C][/ROW]
[ROW][C]0.33[/C][C]4.61960060576439[/C][C]0.0345646595783343[/C][/ROW]
[ROW][C]0.34[/C][C]4.6273053931892[/C][C]0.0337738205547156[/C][/ROW]
[ROW][C]0.35[/C][C]4.63493385614904[/C][C]0.0344007557763207[/C][/ROW]
[ROW][C]0.36[/C][C]4.64275325537283[/C][C]0.0365146447014951[/C][/ROW]
[ROW][C]0.37[/C][C]4.65103148630651[/C][C]0.0399016259534508[/C][/ROW]
[ROW][C]0.38[/C][C]4.65999994275882[/C][C]0.0441867890610934[/C][/ROW]
[ROW][C]0.39[/C][C]4.66983079671219[/C][C]0.0489978926894574[/C][/ROW]
[ROW][C]0.4[/C][C]4.68063067912199[/C][C]0.0540139703088329[/C][/ROW]
[ROW][C]0.41[/C][C]4.69244798146257[/C][C]0.0590231492184656[/C][/ROW]
[ROW][C]0.42[/C][C]4.70528768270477[/C][C]0.0639311867507664[/C][/ROW]
[ROW][C]0.43[/C][C]4.71912649137954[/C][C]0.0686857287280585[/C][/ROW]
[ROW][C]0.44[/C][C]4.73392228681237[/C][C]0.0732718342543428[/C][/ROW]
[ROW][C]0.45[/C][C]4.74961478791065[/C][C]0.0776072761454167[/C][/ROW]
[ROW][C]0.46[/C][C]4.76611801476256[/C][C]0.0815274546201067[/C][/ROW]
[ROW][C]0.47[/C][C]4.78330822935064[/C][C]0.0847834814462068[/C][/ROW]
[ROW][C]0.48[/C][C]4.80101269784008[/C][C]0.087069465391595[/C][/ROW]
[ROW][C]0.49[/C][C]4.81900443117833[/C][C]0.0880845433721272[/C][/ROW]
[ROW][C]0.5[/C][C]4.83700631039174[/C][C]0.0875815742962889[/C][/ROW]
[ROW][C]0.51[/C][C]4.85470544107226[/C][C]0.0854344081487882[/C][/ROW]
[ROW][C]0.52[/C][C]4.8717760912059[/C][C]0.0816458074827476[/C][/ROW]
[ROW][C]0.53[/C][C]4.88790781538454[/C][C]0.0763671372384002[/C][/ROW]
[ROW][C]0.54[/C][C]4.90283461658259[/C][C]0.0698795169636036[/C][/ROW]
[ROW][C]0.55[/C][C]4.91636111753873[/C][C]0.0625819827224967[/C][/ROW]
[ROW][C]0.56[/C][C]4.92838237563071[/C][C]0.054926895088343[/C][/ROW]
[ROW][C]0.57[/C][C]4.93889485985221[/C][C]0.0474178164216751[/C][/ROW]
[ROW][C]0.58[/C][C]4.94799705159346[/C][C]0.040536939021306[/C][/ROW]
[ROW][C]0.59[/C][C]4.95587913285836[/C][C]0.0347091441249929[/C][/ROW]
[ROW][C]0.6[/C][C]4.96280236276072[/C][C]0.0303064212666041[/C][/ROW]
[ROW][C]0.61[/C][C]4.96907005066377[/C][C]0.0275369432546283[/C][/ROW]
[ROW][C]0.62[/C][C]4.97499342597739[/C][C]0.026427321316446[/C][/ROW]
[ROW][C]0.63[/C][C]4.98085695958232[/C][C]0.0267390692848784[/C][/ROW]
[ROW][C]0.64[/C][C]4.98688849974972[/C][C]0.0280487547872094[/C][/ROW]
[ROW][C]0.65[/C][C]4.99323962598566[/C][C]0.0298504097380836[/C][/ROW]
[ROW][C]0.66[/C][C]4.99998065871013[/C][C]0.0316870963304627[/C][/ROW]
[ROW][C]0.67[/C][C]5.00711271884963[/C][C]0.0332267412865513[/C][/ROW]
[ROW][C]0.68[/C][C]5.0145962624694[/C][C]0.0343352207984074[/C][/ROW]
[ROW][C]0.69[/C][C]5.02239201340052[/C][C]0.0350822917839744[/C][/ROW]
[ROW][C]0.7[/C][C]5.03050677301316[/C][C]0.0357642149377213[/C][/ROW]
[ROW][C]0.71[/C][C]5.03903391748147[/C][C]0.0369073755504491[/C][/ROW]
[ROW][C]0.72[/C][C]5.04817725860939[/C][C]0.0391226437778742[/C][/ROW]
[ROW][C]0.73[/C][C]5.05824806078991[/C][C]0.0429461522479961[/C][/ROW]
[ROW][C]0.74[/C][C]5.06962890775367[/C][C]0.0486239479081756[/C][/ROW]
[ROW][C]0.75[/C][C]5.08270488444254[/C][C]0.0559485024144403[/C][/ROW]
[ROW][C]0.76[/C][C]5.097771429537[/C][C]0.0642699813335761[/C][/ROW]
[ROW][C]0.77[/C][C]5.11493730017315[/C][C]0.0725472388581946[/C][/ROW]
[ROW][C]0.78[/C][C]5.13404736208448[/C][C]0.0795367973800343[/C][/ROW]
[ROW][C]0.79[/C][C]5.15465010219413[/C][C]0.0840189739453949[/C][/ROW]
[ROW][C]0.8[/C][C]5.17602683600248[/C][C]0.0850538793318747[/C][/ROW]
[ROW][C]0.81[/C][C]5.19728435304489[/C][C]0.082230329345631[/C][/ROW]
[ROW][C]0.82[/C][C]5.21749443511941[/C][C]0.0757519148699708[/C][/ROW]
[ROW][C]0.83[/C][C]5.2358487821844[/C][C]0.0664360225084039[/C][/ROW]
[ROW][C]0.84[/C][C]5.25179241726607[/C][C]0.0555175029110495[/C][/ROW]
[ROW][C]0.85[/C][C]5.26510521856722[/C][C]0.0443837598581412[/C][/ROW]
[ROW][C]0.86[/C][C]5.27591762016089[/C][C]0.0343097464124174[/C][/ROW]
[ROW][C]0.87[/C][C]5.28466690040198[/C][C]0.0262673049678695[/C][/ROW]
[ROW][C]0.88[/C][C]5.29201860380236[/C][C]0.0208820259859269[/C][/ROW]
[ROW][C]0.89[/C][C]5.29878949951578[/C][C]0.0184296830731607[/C][/ROW]
[ROW][C]0.9[/C][C]5.30591082026559[/C][C]0.0188796198202705[/C][/ROW]
[ROW][C]0.91[/C][C]5.31445437189885[/C][C]0.0220821228461053[/C][/ROW]
[ROW][C]0.92[/C][C]5.32569139746398[/C][C]0.0281386626561711[/C][/ROW]
[ROW][C]0.93[/C][C]5.34105819787616[/C][C]0.0371415441843783[/C][/ROW]
[ROW][C]0.94[/C][C]5.36182416885249[/C][C]0.0480603479021846[/C][/ROW]
[ROW][C]0.95[/C][C]5.38835771632428[/C][C]0.0576344297594457[/C][/ROW]
[ROW][C]0.96[/C][C]5.41928132651342[/C][C]0.0609030686864717[/C][/ROW]
[ROW][C]0.97[/C][C]5.45123076824956[/C][C]0.0543188986947131[/C][/ROW]
[ROW][C]0.98[/C][C]5.47969003406711[/C][C]0.0390801710228961[/C][/ROW]
[ROW][C]0.99[/C][C]5.50030818652255[/C][C]0.0209232547289872[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277761&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277761&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
0.014.000013757716526.80514395457128e-05
0.024.000131706555870.000540331126045107
0.034.000643350455090.00218407368163225
0.044.002135777280760.00593320525181791
0.054.005437277705450.0122799430665096
0.064.011390144073870.0208710894525854
0.074.020627346365480.0310095187026526
0.084.033566166564610.0426973120432584
0.094.050637725619540.0572730433869376
0.14.072526762394010.076475199410531
0.114.100143655604630.100590088644125
0.124.134242188269970.127365544525889
0.134.174865663419140.152496001915887
0.144.220941239055330.171060143939098
0.154.270265972401410.179256189830947
0.164.319914578883920.175612630582319
0.174.366894721548480.161310281937408
0.184.408788809708970.139576592609645
0.194.444169338277960.114556830499164
0.24.472701334108510.0901830571612829
0.214.494972497700520.0694081781765432
0.224.512165928666050.0539330057890773
0.234.52570061585160.0442699574938844
0.244.536931336925350.0398013735177952
0.254.546952030542810.039002899520366
0.264.556507126689950.0400730537146093
0.274.565992112329440.0415094065183247
0.284.575515742894960.0423488560330861
0.294.584995901695840.0421162963987795
0.34.594264325726160.0407946514502806
0.314.603160079368630.0386992970327981
0.324.611597425352680.036410760776096
0.334.619600605764390.0345646595783343
0.344.62730539318920.0337738205547156
0.354.634933856149040.0344007557763207
0.364.642753255372830.0365146447014951
0.374.651031486306510.0399016259534508
0.384.659999942758820.0441867890610934
0.394.669830796712190.0489978926894574
0.44.680630679121990.0540139703088329
0.414.692447981462570.0590231492184656
0.424.705287682704770.0639311867507664
0.434.719126491379540.0686857287280585
0.444.733922286812370.0732718342543428
0.454.749614787910650.0776072761454167
0.464.766118014762560.0815274546201067
0.474.783308229350640.0847834814462068
0.484.801012697840080.087069465391595
0.494.819004431178330.0880845433721272
0.54.837006310391740.0875815742962889
0.514.854705441072260.0854344081487882
0.524.87177609120590.0816458074827476
0.534.887907815384540.0763671372384002
0.544.902834616582590.0698795169636036
0.554.916361117538730.0625819827224967
0.564.928382375630710.054926895088343
0.574.938894859852210.0474178164216751
0.584.947997051593460.040536939021306
0.594.955879132858360.0347091441249929
0.64.962802362760720.0303064212666041
0.614.969070050663770.0275369432546283
0.624.974993425977390.026427321316446
0.634.980856959582320.0267390692848784
0.644.986888499749720.0280487547872094
0.654.993239625985660.0298504097380836
0.664.999980658710130.0316870963304627
0.675.007112718849630.0332267412865513
0.685.01459626246940.0343352207984074
0.695.022392013400520.0350822917839744
0.75.030506773013160.0357642149377213
0.715.039033917481470.0369073755504491
0.725.048177258609390.0391226437778742
0.735.058248060789910.0429461522479961
0.745.069628907753670.0486239479081756
0.755.082704884442540.0559485024144403
0.765.0977714295370.0642699813335761
0.775.114937300173150.0725472388581946
0.785.134047362084480.0795367973800343
0.795.154650102194130.0840189739453949
0.85.176026836002480.0850538793318747
0.815.197284353044890.082230329345631
0.825.217494435119410.0757519148699708
0.835.23584878218440.0664360225084039
0.845.251792417266070.0555175029110495
0.855.265105218567220.0443837598581412
0.865.275917620160890.0343097464124174
0.875.284666900401980.0262673049678695
0.885.292018603802360.0208820259859269
0.895.298789499515780.0184296830731607
0.95.305910820265590.0188796198202705
0.915.314454371898850.0220821228461053
0.925.325691397463980.0281386626561711
0.935.341058197876160.0371415441843783
0.945.361824168852490.0480603479021846
0.955.388357716324280.0576344297594457
0.965.419281326513420.0609030686864717
0.975.451230768249560.0543188986947131
0.985.479690034067110.0390801710228961
0.995.500308186522550.0209232547289872



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')