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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 03 Oct 2013 15:58:29 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/03/t1380830317k6uvbohp8jlctuo.htm/, Retrieved Mon, 06 May 2024 07:04:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213016, Retrieved Mon, 06 May 2024 07:04:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-10-03 09:41:54] [3a0177fcefa5c4ccd825fb8aa90eb593]
- RMPD    [Harrell-Davis Quantiles] [] [2013-10-03 19:58:29] [c3373c0d5a698012d591c0e2feefe9b5] [Current]
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Dataseries X:
2.57
2.58
2.58
2.58
2.57
2.57
2.57
2.57
2.59
2.62
2.66
2.67
2.67
2.69
2.69
2.69
2.69
2.71
2.71
2.71
2.74
2.77
2.82
2.82
2.82
2.8
2.82
2.82
2.82
2.82
2.82
2.82
2.85
2.93
2.94
2.94
2.95
2.95
2.96
2.96
2.97
2.97
2.97
2.97
2.98
3.03
3.03
3.03
3.03
3.04
3.05
3.06
3.06
3.07
3.07
3.07
3.04
3.06
3.09
3.09
3.09
3.09
3.1
3.1
3.1
3.1
3.1
3.11
3.11
3.17
3.19
3.19
3.19
3.19
3.19
3.19
3.19
3.19
3.19
3.19
3.25
3.23
3.24
3.24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213016&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213016&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213016&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.5700428281620.000172901767052118
0.022.570262372310170.000835362999399549
0.032.570894365812370.0022593365590924
0.042.572229845076730.00455852290141211
0.052.574563112558280.00782040986683277
0.062.578172681969520.0122011348198804
0.072.58331236824310.0177345960060324
0.082.590166251297990.0240513679502052
0.092.598763502216690.0303232598646451
0.12.608903329122760.0355295665011984
0.112.620149086793530.0388311988705105
0.122.631910423497990.0398776041920845
0.132.643581621719430.0388900709464674
0.142.654679388081440.0365420182284563
0.152.664932652546530.0337409949993579
0.162.674305383948380.0313739505125291
0.172.682960838862090.0301449258294795
0.182.691190375663590.030410956829142
0.192.699331393773770.0321582068857318
0.22.707692776260630.0350309817323145
0.212.716498512455480.0384960283694664
0.222.725854282140030.0419540926628694
0.232.735738114370990.0448408739514626
0.242.74601374870470.0467121674010736
0.252.756463005647430.0473008682223494
0.262.766831067493990.0465627986562945
0.272.776876563399530.0446898408690348
0.282.786417489454790.0420741190484847
0.292.795364782017950.0392463173977258
0.32.803737788631110.0368147217852093
0.312.811659426366510.0353464664939717
0.322.819332674049970.0352433156168561
0.332.827003393044690.0366357216048861
0.342.834916693884640.0393164998397475
0.352.843274843524490.0428501020818031
0.362.852204014964120.0466796005991905
0.372.861735235059060.0502423792460307
0.382.871802089422040.0530401105932897
0.392.882254623802310.0547188298227809
0.42.892886020704840.0550824000125589
0.412.903466562503750.0541357476188582
0.422.913778489582120.0520578390116972
0.432.923645739903470.0491563952488899
0.442.932954044416690.0458228711199455
0.452.941659046072690.0424617014276128
0.462.949782488878280.0394387600381322
0.472.957398593657440.0370092671380787
0.482.964614146115680.0353077755023184
0.492.971546412219880.0343155249765138
0.52.978302792839320.0338927651838522
0.512.984965295231810.0338256826057812
0.522.991581666665130.0338733429791781
0.532.998163659884030.0338253352756522
0.543.004691622845410.0335191176182555
0.553.011123629603460.0328737418993653
0.563.017406836239450.0318756508188148
0.573.023488709058330.0305741071492969
0.583.029326184062980.0290577000212498
0.593.034891535748320.0274364956463716
0.63.040174561707290.0258146642711588
0.613.045181429972120.024283540429873
0.623.049931048205330.0229006346548891
0.633.054450048691710.0216899995522252
0.643.058767480335970.0206499633174485
0.653.062910152248010.0197539252333758
0.663.066899381001730.0189603040897139
0.673.070749715948830.0182213356042188
0.683.074470059435050.0174981343710485
0.693.078067419079030.0167747457816611
0.73.081553260773430.0160696635842244
0.713.084952009977660.0154410705899675
0.723.088310640875050.0150080532891227
0.733.09170752431040.0149392450429121
0.743.095257903866730.015445269731534
0.753.099112804290140.0167166817182716
0.763.103448259788340.0188585218221593
0.773.108442943594730.021820448224291
0.783.114244875405290.0253682625925783
0.793.120931689010040.0290962573507005
0.83.128473034539050.0324587379262801
0.813.136706442467630.0348671292016807
0.823.145337557355080.0357963458031511
0.833.153970939439690.0349241597391752
0.843.162169204738570.0322219136125347
0.853.169528814143330.0279898577166215
0.863.175754446353420.0227974097063996
0.873.180714312323290.0173561551549079
0.883.184466939729810.0123633204933379
0.893.18726228348430.00839966858890276
0.93.189528368693110.00598038792362731
0.913.191849324951540.00578056968023402
0.923.194917526377970.00802138212053415
0.933.199414483028640.0120102753313505
0.943.205780418113460.0165873343111568
0.953.2139198610410.0199547838851453
0.963.22305440323110.0201477765957843
0.973.232008595710050.016497509591705
0.983.239870320010590.0111417613729797
0.993.246182080614020.00872326170446147

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.570042828162 & 0.000172901767052118 \tabularnewline
0.02 & 2.57026237231017 & 0.000835362999399549 \tabularnewline
0.03 & 2.57089436581237 & 0.0022593365590924 \tabularnewline
0.04 & 2.57222984507673 & 0.00455852290141211 \tabularnewline
0.05 & 2.57456311255828 & 0.00782040986683277 \tabularnewline
0.06 & 2.57817268196952 & 0.0122011348198804 \tabularnewline
0.07 & 2.5833123682431 & 0.0177345960060324 \tabularnewline
0.08 & 2.59016625129799 & 0.0240513679502052 \tabularnewline
0.09 & 2.59876350221669 & 0.0303232598646451 \tabularnewline
0.1 & 2.60890332912276 & 0.0355295665011984 \tabularnewline
0.11 & 2.62014908679353 & 0.0388311988705105 \tabularnewline
0.12 & 2.63191042349799 & 0.0398776041920845 \tabularnewline
0.13 & 2.64358162171943 & 0.0388900709464674 \tabularnewline
0.14 & 2.65467938808144 & 0.0365420182284563 \tabularnewline
0.15 & 2.66493265254653 & 0.0337409949993579 \tabularnewline
0.16 & 2.67430538394838 & 0.0313739505125291 \tabularnewline
0.17 & 2.68296083886209 & 0.0301449258294795 \tabularnewline
0.18 & 2.69119037566359 & 0.030410956829142 \tabularnewline
0.19 & 2.69933139377377 & 0.0321582068857318 \tabularnewline
0.2 & 2.70769277626063 & 0.0350309817323145 \tabularnewline
0.21 & 2.71649851245548 & 0.0384960283694664 \tabularnewline
0.22 & 2.72585428214003 & 0.0419540926628694 \tabularnewline
0.23 & 2.73573811437099 & 0.0448408739514626 \tabularnewline
0.24 & 2.7460137487047 & 0.0467121674010736 \tabularnewline
0.25 & 2.75646300564743 & 0.0473008682223494 \tabularnewline
0.26 & 2.76683106749399 & 0.0465627986562945 \tabularnewline
0.27 & 2.77687656339953 & 0.0446898408690348 \tabularnewline
0.28 & 2.78641748945479 & 0.0420741190484847 \tabularnewline
0.29 & 2.79536478201795 & 0.0392463173977258 \tabularnewline
0.3 & 2.80373778863111 & 0.0368147217852093 \tabularnewline
0.31 & 2.81165942636651 & 0.0353464664939717 \tabularnewline
0.32 & 2.81933267404997 & 0.0352433156168561 \tabularnewline
0.33 & 2.82700339304469 & 0.0366357216048861 \tabularnewline
0.34 & 2.83491669388464 & 0.0393164998397475 \tabularnewline
0.35 & 2.84327484352449 & 0.0428501020818031 \tabularnewline
0.36 & 2.85220401496412 & 0.0466796005991905 \tabularnewline
0.37 & 2.86173523505906 & 0.0502423792460307 \tabularnewline
0.38 & 2.87180208942204 & 0.0530401105932897 \tabularnewline
0.39 & 2.88225462380231 & 0.0547188298227809 \tabularnewline
0.4 & 2.89288602070484 & 0.0550824000125589 \tabularnewline
0.41 & 2.90346656250375 & 0.0541357476188582 \tabularnewline
0.42 & 2.91377848958212 & 0.0520578390116972 \tabularnewline
0.43 & 2.92364573990347 & 0.0491563952488899 \tabularnewline
0.44 & 2.93295404441669 & 0.0458228711199455 \tabularnewline
0.45 & 2.94165904607269 & 0.0424617014276128 \tabularnewline
0.46 & 2.94978248887828 & 0.0394387600381322 \tabularnewline
0.47 & 2.95739859365744 & 0.0370092671380787 \tabularnewline
0.48 & 2.96461414611568 & 0.0353077755023184 \tabularnewline
0.49 & 2.97154641221988 & 0.0343155249765138 \tabularnewline
0.5 & 2.97830279283932 & 0.0338927651838522 \tabularnewline
0.51 & 2.98496529523181 & 0.0338256826057812 \tabularnewline
0.52 & 2.99158166666513 & 0.0338733429791781 \tabularnewline
0.53 & 2.99816365988403 & 0.0338253352756522 \tabularnewline
0.54 & 3.00469162284541 & 0.0335191176182555 \tabularnewline
0.55 & 3.01112362960346 & 0.0328737418993653 \tabularnewline
0.56 & 3.01740683623945 & 0.0318756508188148 \tabularnewline
0.57 & 3.02348870905833 & 0.0305741071492969 \tabularnewline
0.58 & 3.02932618406298 & 0.0290577000212498 \tabularnewline
0.59 & 3.03489153574832 & 0.0274364956463716 \tabularnewline
0.6 & 3.04017456170729 & 0.0258146642711588 \tabularnewline
0.61 & 3.04518142997212 & 0.024283540429873 \tabularnewline
0.62 & 3.04993104820533 & 0.0229006346548891 \tabularnewline
0.63 & 3.05445004869171 & 0.0216899995522252 \tabularnewline
0.64 & 3.05876748033597 & 0.0206499633174485 \tabularnewline
0.65 & 3.06291015224801 & 0.0197539252333758 \tabularnewline
0.66 & 3.06689938100173 & 0.0189603040897139 \tabularnewline
0.67 & 3.07074971594883 & 0.0182213356042188 \tabularnewline
0.68 & 3.07447005943505 & 0.0174981343710485 \tabularnewline
0.69 & 3.07806741907903 & 0.0167747457816611 \tabularnewline
0.7 & 3.08155326077343 & 0.0160696635842244 \tabularnewline
0.71 & 3.08495200997766 & 0.0154410705899675 \tabularnewline
0.72 & 3.08831064087505 & 0.0150080532891227 \tabularnewline
0.73 & 3.0917075243104 & 0.0149392450429121 \tabularnewline
0.74 & 3.09525790386673 & 0.015445269731534 \tabularnewline
0.75 & 3.09911280429014 & 0.0167166817182716 \tabularnewline
0.76 & 3.10344825978834 & 0.0188585218221593 \tabularnewline
0.77 & 3.10844294359473 & 0.021820448224291 \tabularnewline
0.78 & 3.11424487540529 & 0.0253682625925783 \tabularnewline
0.79 & 3.12093168901004 & 0.0290962573507005 \tabularnewline
0.8 & 3.12847303453905 & 0.0324587379262801 \tabularnewline
0.81 & 3.13670644246763 & 0.0348671292016807 \tabularnewline
0.82 & 3.14533755735508 & 0.0357963458031511 \tabularnewline
0.83 & 3.15397093943969 & 0.0349241597391752 \tabularnewline
0.84 & 3.16216920473857 & 0.0322219136125347 \tabularnewline
0.85 & 3.16952881414333 & 0.0279898577166215 \tabularnewline
0.86 & 3.17575444635342 & 0.0227974097063996 \tabularnewline
0.87 & 3.18071431232329 & 0.0173561551549079 \tabularnewline
0.88 & 3.18446693972981 & 0.0123633204933379 \tabularnewline
0.89 & 3.1872622834843 & 0.00839966858890276 \tabularnewline
0.9 & 3.18952836869311 & 0.00598038792362731 \tabularnewline
0.91 & 3.19184932495154 & 0.00578056968023402 \tabularnewline
0.92 & 3.19491752637797 & 0.00802138212053415 \tabularnewline
0.93 & 3.19941448302864 & 0.0120102753313505 \tabularnewline
0.94 & 3.20578041811346 & 0.0165873343111568 \tabularnewline
0.95 & 3.213919861041 & 0.0199547838851453 \tabularnewline
0.96 & 3.2230544032311 & 0.0201477765957843 \tabularnewline
0.97 & 3.23200859571005 & 0.016497509591705 \tabularnewline
0.98 & 3.23987032001059 & 0.0111417613729797 \tabularnewline
0.99 & 3.24618208061402 & 0.00872326170446147 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213016&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]2.570042828162[/C][C]0.000172901767052118[/C][/ROW]
[ROW][C]0.02[/C][C]2.57026237231017[/C][C]0.000835362999399549[/C][/ROW]
[ROW][C]0.03[/C][C]2.57089436581237[/C][C]0.0022593365590924[/C][/ROW]
[ROW][C]0.04[/C][C]2.57222984507673[/C][C]0.00455852290141211[/C][/ROW]
[ROW][C]0.05[/C][C]2.57456311255828[/C][C]0.00782040986683277[/C][/ROW]
[ROW][C]0.06[/C][C]2.57817268196952[/C][C]0.0122011348198804[/C][/ROW]
[ROW][C]0.07[/C][C]2.5833123682431[/C][C]0.0177345960060324[/C][/ROW]
[ROW][C]0.08[/C][C]2.59016625129799[/C][C]0.0240513679502052[/C][/ROW]
[ROW][C]0.09[/C][C]2.59876350221669[/C][C]0.0303232598646451[/C][/ROW]
[ROW][C]0.1[/C][C]2.60890332912276[/C][C]0.0355295665011984[/C][/ROW]
[ROW][C]0.11[/C][C]2.62014908679353[/C][C]0.0388311988705105[/C][/ROW]
[ROW][C]0.12[/C][C]2.63191042349799[/C][C]0.0398776041920845[/C][/ROW]
[ROW][C]0.13[/C][C]2.64358162171943[/C][C]0.0388900709464674[/C][/ROW]
[ROW][C]0.14[/C][C]2.65467938808144[/C][C]0.0365420182284563[/C][/ROW]
[ROW][C]0.15[/C][C]2.66493265254653[/C][C]0.0337409949993579[/C][/ROW]
[ROW][C]0.16[/C][C]2.67430538394838[/C][C]0.0313739505125291[/C][/ROW]
[ROW][C]0.17[/C][C]2.68296083886209[/C][C]0.0301449258294795[/C][/ROW]
[ROW][C]0.18[/C][C]2.69119037566359[/C][C]0.030410956829142[/C][/ROW]
[ROW][C]0.19[/C][C]2.69933139377377[/C][C]0.0321582068857318[/C][/ROW]
[ROW][C]0.2[/C][C]2.70769277626063[/C][C]0.0350309817323145[/C][/ROW]
[ROW][C]0.21[/C][C]2.71649851245548[/C][C]0.0384960283694664[/C][/ROW]
[ROW][C]0.22[/C][C]2.72585428214003[/C][C]0.0419540926628694[/C][/ROW]
[ROW][C]0.23[/C][C]2.73573811437099[/C][C]0.0448408739514626[/C][/ROW]
[ROW][C]0.24[/C][C]2.7460137487047[/C][C]0.0467121674010736[/C][/ROW]
[ROW][C]0.25[/C][C]2.75646300564743[/C][C]0.0473008682223494[/C][/ROW]
[ROW][C]0.26[/C][C]2.76683106749399[/C][C]0.0465627986562945[/C][/ROW]
[ROW][C]0.27[/C][C]2.77687656339953[/C][C]0.0446898408690348[/C][/ROW]
[ROW][C]0.28[/C][C]2.78641748945479[/C][C]0.0420741190484847[/C][/ROW]
[ROW][C]0.29[/C][C]2.79536478201795[/C][C]0.0392463173977258[/C][/ROW]
[ROW][C]0.3[/C][C]2.80373778863111[/C][C]0.0368147217852093[/C][/ROW]
[ROW][C]0.31[/C][C]2.81165942636651[/C][C]0.0353464664939717[/C][/ROW]
[ROW][C]0.32[/C][C]2.81933267404997[/C][C]0.0352433156168561[/C][/ROW]
[ROW][C]0.33[/C][C]2.82700339304469[/C][C]0.0366357216048861[/C][/ROW]
[ROW][C]0.34[/C][C]2.83491669388464[/C][C]0.0393164998397475[/C][/ROW]
[ROW][C]0.35[/C][C]2.84327484352449[/C][C]0.0428501020818031[/C][/ROW]
[ROW][C]0.36[/C][C]2.85220401496412[/C][C]0.0466796005991905[/C][/ROW]
[ROW][C]0.37[/C][C]2.86173523505906[/C][C]0.0502423792460307[/C][/ROW]
[ROW][C]0.38[/C][C]2.87180208942204[/C][C]0.0530401105932897[/C][/ROW]
[ROW][C]0.39[/C][C]2.88225462380231[/C][C]0.0547188298227809[/C][/ROW]
[ROW][C]0.4[/C][C]2.89288602070484[/C][C]0.0550824000125589[/C][/ROW]
[ROW][C]0.41[/C][C]2.90346656250375[/C][C]0.0541357476188582[/C][/ROW]
[ROW][C]0.42[/C][C]2.91377848958212[/C][C]0.0520578390116972[/C][/ROW]
[ROW][C]0.43[/C][C]2.92364573990347[/C][C]0.0491563952488899[/C][/ROW]
[ROW][C]0.44[/C][C]2.93295404441669[/C][C]0.0458228711199455[/C][/ROW]
[ROW][C]0.45[/C][C]2.94165904607269[/C][C]0.0424617014276128[/C][/ROW]
[ROW][C]0.46[/C][C]2.94978248887828[/C][C]0.0394387600381322[/C][/ROW]
[ROW][C]0.47[/C][C]2.95739859365744[/C][C]0.0370092671380787[/C][/ROW]
[ROW][C]0.48[/C][C]2.96461414611568[/C][C]0.0353077755023184[/C][/ROW]
[ROW][C]0.49[/C][C]2.97154641221988[/C][C]0.0343155249765138[/C][/ROW]
[ROW][C]0.5[/C][C]2.97830279283932[/C][C]0.0338927651838522[/C][/ROW]
[ROW][C]0.51[/C][C]2.98496529523181[/C][C]0.0338256826057812[/C][/ROW]
[ROW][C]0.52[/C][C]2.99158166666513[/C][C]0.0338733429791781[/C][/ROW]
[ROW][C]0.53[/C][C]2.99816365988403[/C][C]0.0338253352756522[/C][/ROW]
[ROW][C]0.54[/C][C]3.00469162284541[/C][C]0.0335191176182555[/C][/ROW]
[ROW][C]0.55[/C][C]3.01112362960346[/C][C]0.0328737418993653[/C][/ROW]
[ROW][C]0.56[/C][C]3.01740683623945[/C][C]0.0318756508188148[/C][/ROW]
[ROW][C]0.57[/C][C]3.02348870905833[/C][C]0.0305741071492969[/C][/ROW]
[ROW][C]0.58[/C][C]3.02932618406298[/C][C]0.0290577000212498[/C][/ROW]
[ROW][C]0.59[/C][C]3.03489153574832[/C][C]0.0274364956463716[/C][/ROW]
[ROW][C]0.6[/C][C]3.04017456170729[/C][C]0.0258146642711588[/C][/ROW]
[ROW][C]0.61[/C][C]3.04518142997212[/C][C]0.024283540429873[/C][/ROW]
[ROW][C]0.62[/C][C]3.04993104820533[/C][C]0.0229006346548891[/C][/ROW]
[ROW][C]0.63[/C][C]3.05445004869171[/C][C]0.0216899995522252[/C][/ROW]
[ROW][C]0.64[/C][C]3.05876748033597[/C][C]0.0206499633174485[/C][/ROW]
[ROW][C]0.65[/C][C]3.06291015224801[/C][C]0.0197539252333758[/C][/ROW]
[ROW][C]0.66[/C][C]3.06689938100173[/C][C]0.0189603040897139[/C][/ROW]
[ROW][C]0.67[/C][C]3.07074971594883[/C][C]0.0182213356042188[/C][/ROW]
[ROW][C]0.68[/C][C]3.07447005943505[/C][C]0.0174981343710485[/C][/ROW]
[ROW][C]0.69[/C][C]3.07806741907903[/C][C]0.0167747457816611[/C][/ROW]
[ROW][C]0.7[/C][C]3.08155326077343[/C][C]0.0160696635842244[/C][/ROW]
[ROW][C]0.71[/C][C]3.08495200997766[/C][C]0.0154410705899675[/C][/ROW]
[ROW][C]0.72[/C][C]3.08831064087505[/C][C]0.0150080532891227[/C][/ROW]
[ROW][C]0.73[/C][C]3.0917075243104[/C][C]0.0149392450429121[/C][/ROW]
[ROW][C]0.74[/C][C]3.09525790386673[/C][C]0.015445269731534[/C][/ROW]
[ROW][C]0.75[/C][C]3.09911280429014[/C][C]0.0167166817182716[/C][/ROW]
[ROW][C]0.76[/C][C]3.10344825978834[/C][C]0.0188585218221593[/C][/ROW]
[ROW][C]0.77[/C][C]3.10844294359473[/C][C]0.021820448224291[/C][/ROW]
[ROW][C]0.78[/C][C]3.11424487540529[/C][C]0.0253682625925783[/C][/ROW]
[ROW][C]0.79[/C][C]3.12093168901004[/C][C]0.0290962573507005[/C][/ROW]
[ROW][C]0.8[/C][C]3.12847303453905[/C][C]0.0324587379262801[/C][/ROW]
[ROW][C]0.81[/C][C]3.13670644246763[/C][C]0.0348671292016807[/C][/ROW]
[ROW][C]0.82[/C][C]3.14533755735508[/C][C]0.0357963458031511[/C][/ROW]
[ROW][C]0.83[/C][C]3.15397093943969[/C][C]0.0349241597391752[/C][/ROW]
[ROW][C]0.84[/C][C]3.16216920473857[/C][C]0.0322219136125347[/C][/ROW]
[ROW][C]0.85[/C][C]3.16952881414333[/C][C]0.0279898577166215[/C][/ROW]
[ROW][C]0.86[/C][C]3.17575444635342[/C][C]0.0227974097063996[/C][/ROW]
[ROW][C]0.87[/C][C]3.18071431232329[/C][C]0.0173561551549079[/C][/ROW]
[ROW][C]0.88[/C][C]3.18446693972981[/C][C]0.0123633204933379[/C][/ROW]
[ROW][C]0.89[/C][C]3.1872622834843[/C][C]0.00839966858890276[/C][/ROW]
[ROW][C]0.9[/C][C]3.18952836869311[/C][C]0.00598038792362731[/C][/ROW]
[ROW][C]0.91[/C][C]3.19184932495154[/C][C]0.00578056968023402[/C][/ROW]
[ROW][C]0.92[/C][C]3.19491752637797[/C][C]0.00802138212053415[/C][/ROW]
[ROW][C]0.93[/C][C]3.19941448302864[/C][C]0.0120102753313505[/C][/ROW]
[ROW][C]0.94[/C][C]3.20578041811346[/C][C]0.0165873343111568[/C][/ROW]
[ROW][C]0.95[/C][C]3.213919861041[/C][C]0.0199547838851453[/C][/ROW]
[ROW][C]0.96[/C][C]3.2230544032311[/C][C]0.0201477765957843[/C][/ROW]
[ROW][C]0.97[/C][C]3.23200859571005[/C][C]0.016497509591705[/C][/ROW]
[ROW][C]0.98[/C][C]3.23987032001059[/C][C]0.0111417613729797[/C][/ROW]
[ROW][C]0.99[/C][C]3.24618208061402[/C][C]0.00872326170446147[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213016&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213016&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
0.012.5700428281620.000172901767052118
0.022.570262372310170.000835362999399549
0.032.570894365812370.0022593365590924
0.042.572229845076730.00455852290141211
0.052.574563112558280.00782040986683277
0.062.578172681969520.0122011348198804
0.072.58331236824310.0177345960060324
0.082.590166251297990.0240513679502052
0.092.598763502216690.0303232598646451
0.12.608903329122760.0355295665011984
0.112.620149086793530.0388311988705105
0.122.631910423497990.0398776041920845
0.132.643581621719430.0388900709464674
0.142.654679388081440.0365420182284563
0.152.664932652546530.0337409949993579
0.162.674305383948380.0313739505125291
0.172.682960838862090.0301449258294795
0.182.691190375663590.030410956829142
0.192.699331393773770.0321582068857318
0.22.707692776260630.0350309817323145
0.212.716498512455480.0384960283694664
0.222.725854282140030.0419540926628694
0.232.735738114370990.0448408739514626
0.242.74601374870470.0467121674010736
0.252.756463005647430.0473008682223494
0.262.766831067493990.0465627986562945
0.272.776876563399530.0446898408690348
0.282.786417489454790.0420741190484847
0.292.795364782017950.0392463173977258
0.32.803737788631110.0368147217852093
0.312.811659426366510.0353464664939717
0.322.819332674049970.0352433156168561
0.332.827003393044690.0366357216048861
0.342.834916693884640.0393164998397475
0.352.843274843524490.0428501020818031
0.362.852204014964120.0466796005991905
0.372.861735235059060.0502423792460307
0.382.871802089422040.0530401105932897
0.392.882254623802310.0547188298227809
0.42.892886020704840.0550824000125589
0.412.903466562503750.0541357476188582
0.422.913778489582120.0520578390116972
0.432.923645739903470.0491563952488899
0.442.932954044416690.0458228711199455
0.452.941659046072690.0424617014276128
0.462.949782488878280.0394387600381322
0.472.957398593657440.0370092671380787
0.482.964614146115680.0353077755023184
0.492.971546412219880.0343155249765138
0.52.978302792839320.0338927651838522
0.512.984965295231810.0338256826057812
0.522.991581666665130.0338733429791781
0.532.998163659884030.0338253352756522
0.543.004691622845410.0335191176182555
0.553.011123629603460.0328737418993653
0.563.017406836239450.0318756508188148
0.573.023488709058330.0305741071492969
0.583.029326184062980.0290577000212498
0.593.034891535748320.0274364956463716
0.63.040174561707290.0258146642711588
0.613.045181429972120.024283540429873
0.623.049931048205330.0229006346548891
0.633.054450048691710.0216899995522252
0.643.058767480335970.0206499633174485
0.653.062910152248010.0197539252333758
0.663.066899381001730.0189603040897139
0.673.070749715948830.0182213356042188
0.683.074470059435050.0174981343710485
0.693.078067419079030.0167747457816611
0.73.081553260773430.0160696635842244
0.713.084952009977660.0154410705899675
0.723.088310640875050.0150080532891227
0.733.09170752431040.0149392450429121
0.743.095257903866730.015445269731534
0.753.099112804290140.0167166817182716
0.763.103448259788340.0188585218221593
0.773.108442943594730.021820448224291
0.783.114244875405290.0253682625925783
0.793.120931689010040.0290962573507005
0.83.128473034539050.0324587379262801
0.813.136706442467630.0348671292016807
0.823.145337557355080.0357963458031511
0.833.153970939439690.0349241597391752
0.843.162169204738570.0322219136125347
0.853.169528814143330.0279898577166215
0.863.175754446353420.0227974097063996
0.873.180714312323290.0173561551549079
0.883.184466939729810.0123633204933379
0.893.18726228348430.00839966858890276
0.93.189528368693110.00598038792362731
0.913.191849324951540.00578056968023402
0.923.194917526377970.00802138212053415
0.933.199414483028640.0120102753313505
0.943.205780418113460.0165873343111568
0.953.2139198610410.0199547838851453
0.963.22305440323110.0201477765957843
0.973.232008595710050.016497509591705
0.983.239870320010590.0111417613729797
0.993.246182080614020.00872326170446147



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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')