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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 computationTue, 26 Feb 2013 06:12:08 -0500
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/Feb/26/t13618772235sa4lwq7b11jal5.htm/, Retrieved Sat, 04 May 2024 23:47:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207001, Retrieved Sat, 04 May 2024 23:47:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2013-02-26 11:12:08] [86531c41dade6c5b3fb1cb68f8179a3e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.27
2.35
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.54
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.66
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
2.93
3.07
3.07
3.07
3.07
3.07
3.07
3.07
3.07
3.07
3.07

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207001&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207001&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207001&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.30485751514620.0960638268318634
0.022.361175332524280.109417195885074
0.032.41989305201770.0997328288655528
0.042.467894170638610.0735076946491229
0.052.500955562326450.0455190939985156
0.062.52079735718630.0244391464525115
0.072.53137070858530.0116403081096047
0.082.536437138774140.0050005088519935
0.092.538641421390930.0019616212871881
0.12.539519255955480.000708983307018349
0.112.539841519687750.000237925968753047
0.122.539951409090887.50784907826039e-05
0.132.539986876426622.3783780263788e-05
0.142.539998972476711.60491128249351e-05
0.152.540006076659993.29405443355911e-05
0.162.540016314932327.08534728076399e-05
0.172.540036621624750.000149203944589671
0.182.540077142673820.000296495018094859
0.192.540154552629970.000557601921126782
0.22.540295530150910.00100138801272683
0.212.54054057936170.00171297605615449
0.222.54094779256570.00280235613876753
0.232.54159572211330.00439099557443063
0.242.542584231842810.00659557949929724
0.252.544032115005630.00951175146759151
0.262.546070501520530.0131815946431721
0.272.548831687763260.0175745030886872
0.282.552433957929260.0225680530547299
0.292.556964053171660.0279307871400779
0.32.562459908429910.0333480380513337
0.312.568896812570290.0384353187005161
0.322.576180019323110.0427928390309683
0.332.584145969308560.0460533277944695
0.342.592572810757660.0479308107638895
0.352.601199151074850.0482713018169275
0.362.609748358573760.047061410855992
0.372.617954665900140.0444350388569969
0.382.625587061877270.0406485105452629
0.392.632467536439180.0360399157192595
0.42.638481482716280.030977034342117
0.412.643579625276930.025822782906274
0.422.647772351126330.0208794357222505
0.432.651118450510390.0163817676418024
0.442.653710847997580.0124756079365938
0.452.655661905250870.00922599039319992
0.462.657090427602290.00663389638682853
0.472.658111806727970.00465327937814787
0.482.658831989476490.00321065287723205
0.492.659345338505810.00223905875349056
0.52.659736025691080.00170341538561062
0.512.660082374611480.00163755169119942
0.522.660463481074530.00208868761358817
0.532.660967395555250.00307881025629315
0.542.661700055725290.00469320524666096
0.552.662793952055180.00709676193705022
0.562.664415194897350.0104910753293847
0.572.666767300363130.0150913754225246
0.582.67008976768120.021085625503561
0.592.674649571001790.0285936442017976
0.62.680724218240650.0376191508506235
0.612.688576149521110.0479982028368991
0.622.698419921814280.0593743583327749
0.632.710385619290120.0711851599832389
0.642.724483807144450.0826881958641974
0.652.740578553144710.0930254523194489
0.662.758375043074480.101314561599587
0.672.777426793597080.106771794241394
0.682.797164478679580.108829675912176
0.692.816944447214040.107230536608027
0.72.836111013783640.10208101006727
0.712.854063599148830.0938448577686184
0.722.87031865828530.0832902071961153
0.732.884557450230210.0713765017212108
0.742.896653789291330.0591344590644046
0.752.906680042096990.0475456454627848
0.762.914893497004880.0374648016355499
0.772.921707598147640.0296193962204117
0.782.92765272297580.0246643982914735
0.792.933329410781980.0231467381547028
0.82.939354412921570.0251142596136128
0.812.946298470294350.0298840517572444
0.822.954616084544330.0364345960315966
0.832.964572439266120.0436488930220453
0.842.976179853919640.0503206146238842
0.852.989162439109290.0552202512595467
0.863.0029685432850.0572880698744087
0.873.016842670271370.0558909469920888
0.883.029951826717110.051020459342636
0.893.041540734925870.0433396512949548
0.93.051074953773390.0340430350496011
0.913.058329557487280.0245407381543238
0.923.06339712091570.0160848568100734
0.933.066617082330940.00947077495124333
0.943.068456546561840.00493138163053756
0.953.069386882211570.00222252604058744
0.963.069794737933340.000839265850900165
0.973.069945005053990.000252891365668593
0.983.06998928847295.48857634280737e-05
0.993.069998812145286.9475649908954e-06

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.3048575151462 & 0.0960638268318634 \tabularnewline
0.02 & 2.36117533252428 & 0.109417195885074 \tabularnewline
0.03 & 2.4198930520177 & 0.0997328288655528 \tabularnewline
0.04 & 2.46789417063861 & 0.0735076946491229 \tabularnewline
0.05 & 2.50095556232645 & 0.0455190939985156 \tabularnewline
0.06 & 2.5207973571863 & 0.0244391464525115 \tabularnewline
0.07 & 2.5313707085853 & 0.0116403081096047 \tabularnewline
0.08 & 2.53643713877414 & 0.0050005088519935 \tabularnewline
0.09 & 2.53864142139093 & 0.0019616212871881 \tabularnewline
0.1 & 2.53951925595548 & 0.000708983307018349 \tabularnewline
0.11 & 2.53984151968775 & 0.000237925968753047 \tabularnewline
0.12 & 2.53995140909088 & 7.50784907826039e-05 \tabularnewline
0.13 & 2.53998687642662 & 2.3783780263788e-05 \tabularnewline
0.14 & 2.53999897247671 & 1.60491128249351e-05 \tabularnewline
0.15 & 2.54000607665999 & 3.29405443355911e-05 \tabularnewline
0.16 & 2.54001631493232 & 7.08534728076399e-05 \tabularnewline
0.17 & 2.54003662162475 & 0.000149203944589671 \tabularnewline
0.18 & 2.54007714267382 & 0.000296495018094859 \tabularnewline
0.19 & 2.54015455262997 & 0.000557601921126782 \tabularnewline
0.2 & 2.54029553015091 & 0.00100138801272683 \tabularnewline
0.21 & 2.5405405793617 & 0.00171297605615449 \tabularnewline
0.22 & 2.5409477925657 & 0.00280235613876753 \tabularnewline
0.23 & 2.5415957221133 & 0.00439099557443063 \tabularnewline
0.24 & 2.54258423184281 & 0.00659557949929724 \tabularnewline
0.25 & 2.54403211500563 & 0.00951175146759151 \tabularnewline
0.26 & 2.54607050152053 & 0.0131815946431721 \tabularnewline
0.27 & 2.54883168776326 & 0.0175745030886872 \tabularnewline
0.28 & 2.55243395792926 & 0.0225680530547299 \tabularnewline
0.29 & 2.55696405317166 & 0.0279307871400779 \tabularnewline
0.3 & 2.56245990842991 & 0.0333480380513337 \tabularnewline
0.31 & 2.56889681257029 & 0.0384353187005161 \tabularnewline
0.32 & 2.57618001932311 & 0.0427928390309683 \tabularnewline
0.33 & 2.58414596930856 & 0.0460533277944695 \tabularnewline
0.34 & 2.59257281075766 & 0.0479308107638895 \tabularnewline
0.35 & 2.60119915107485 & 0.0482713018169275 \tabularnewline
0.36 & 2.60974835857376 & 0.047061410855992 \tabularnewline
0.37 & 2.61795466590014 & 0.0444350388569969 \tabularnewline
0.38 & 2.62558706187727 & 0.0406485105452629 \tabularnewline
0.39 & 2.63246753643918 & 0.0360399157192595 \tabularnewline
0.4 & 2.63848148271628 & 0.030977034342117 \tabularnewline
0.41 & 2.64357962527693 & 0.025822782906274 \tabularnewline
0.42 & 2.64777235112633 & 0.0208794357222505 \tabularnewline
0.43 & 2.65111845051039 & 0.0163817676418024 \tabularnewline
0.44 & 2.65371084799758 & 0.0124756079365938 \tabularnewline
0.45 & 2.65566190525087 & 0.00922599039319992 \tabularnewline
0.46 & 2.65709042760229 & 0.00663389638682853 \tabularnewline
0.47 & 2.65811180672797 & 0.00465327937814787 \tabularnewline
0.48 & 2.65883198947649 & 0.00321065287723205 \tabularnewline
0.49 & 2.65934533850581 & 0.00223905875349056 \tabularnewline
0.5 & 2.65973602569108 & 0.00170341538561062 \tabularnewline
0.51 & 2.66008237461148 & 0.00163755169119942 \tabularnewline
0.52 & 2.66046348107453 & 0.00208868761358817 \tabularnewline
0.53 & 2.66096739555525 & 0.00307881025629315 \tabularnewline
0.54 & 2.66170005572529 & 0.00469320524666096 \tabularnewline
0.55 & 2.66279395205518 & 0.00709676193705022 \tabularnewline
0.56 & 2.66441519489735 & 0.0104910753293847 \tabularnewline
0.57 & 2.66676730036313 & 0.0150913754225246 \tabularnewline
0.58 & 2.6700897676812 & 0.021085625503561 \tabularnewline
0.59 & 2.67464957100179 & 0.0285936442017976 \tabularnewline
0.6 & 2.68072421824065 & 0.0376191508506235 \tabularnewline
0.61 & 2.68857614952111 & 0.0479982028368991 \tabularnewline
0.62 & 2.69841992181428 & 0.0593743583327749 \tabularnewline
0.63 & 2.71038561929012 & 0.0711851599832389 \tabularnewline
0.64 & 2.72448380714445 & 0.0826881958641974 \tabularnewline
0.65 & 2.74057855314471 & 0.0930254523194489 \tabularnewline
0.66 & 2.75837504307448 & 0.101314561599587 \tabularnewline
0.67 & 2.77742679359708 & 0.106771794241394 \tabularnewline
0.68 & 2.79716447867958 & 0.108829675912176 \tabularnewline
0.69 & 2.81694444721404 & 0.107230536608027 \tabularnewline
0.7 & 2.83611101378364 & 0.10208101006727 \tabularnewline
0.71 & 2.85406359914883 & 0.0938448577686184 \tabularnewline
0.72 & 2.8703186582853 & 0.0832902071961153 \tabularnewline
0.73 & 2.88455745023021 & 0.0713765017212108 \tabularnewline
0.74 & 2.89665378929133 & 0.0591344590644046 \tabularnewline
0.75 & 2.90668004209699 & 0.0475456454627848 \tabularnewline
0.76 & 2.91489349700488 & 0.0374648016355499 \tabularnewline
0.77 & 2.92170759814764 & 0.0296193962204117 \tabularnewline
0.78 & 2.9276527229758 & 0.0246643982914735 \tabularnewline
0.79 & 2.93332941078198 & 0.0231467381547028 \tabularnewline
0.8 & 2.93935441292157 & 0.0251142596136128 \tabularnewline
0.81 & 2.94629847029435 & 0.0298840517572444 \tabularnewline
0.82 & 2.95461608454433 & 0.0364345960315966 \tabularnewline
0.83 & 2.96457243926612 & 0.0436488930220453 \tabularnewline
0.84 & 2.97617985391964 & 0.0503206146238842 \tabularnewline
0.85 & 2.98916243910929 & 0.0552202512595467 \tabularnewline
0.86 & 3.002968543285 & 0.0572880698744087 \tabularnewline
0.87 & 3.01684267027137 & 0.0558909469920888 \tabularnewline
0.88 & 3.02995182671711 & 0.051020459342636 \tabularnewline
0.89 & 3.04154073492587 & 0.0433396512949548 \tabularnewline
0.9 & 3.05107495377339 & 0.0340430350496011 \tabularnewline
0.91 & 3.05832955748728 & 0.0245407381543238 \tabularnewline
0.92 & 3.0633971209157 & 0.0160848568100734 \tabularnewline
0.93 & 3.06661708233094 & 0.00947077495124333 \tabularnewline
0.94 & 3.06845654656184 & 0.00493138163053756 \tabularnewline
0.95 & 3.06938688221157 & 0.00222252604058744 \tabularnewline
0.96 & 3.06979473793334 & 0.000839265850900165 \tabularnewline
0.97 & 3.06994500505399 & 0.000252891365668593 \tabularnewline
0.98 & 3.0699892884729 & 5.48857634280737e-05 \tabularnewline
0.99 & 3.06999881214528 & 6.9475649908954e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207001&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]2.3048575151462[/C][C]0.0960638268318634[/C][/ROW]
[ROW][C]0.02[/C][C]2.36117533252428[/C][C]0.109417195885074[/C][/ROW]
[ROW][C]0.03[/C][C]2.4198930520177[/C][C]0.0997328288655528[/C][/ROW]
[ROW][C]0.04[/C][C]2.46789417063861[/C][C]0.0735076946491229[/C][/ROW]
[ROW][C]0.05[/C][C]2.50095556232645[/C][C]0.0455190939985156[/C][/ROW]
[ROW][C]0.06[/C][C]2.5207973571863[/C][C]0.0244391464525115[/C][/ROW]
[ROW][C]0.07[/C][C]2.5313707085853[/C][C]0.0116403081096047[/C][/ROW]
[ROW][C]0.08[/C][C]2.53643713877414[/C][C]0.0050005088519935[/C][/ROW]
[ROW][C]0.09[/C][C]2.53864142139093[/C][C]0.0019616212871881[/C][/ROW]
[ROW][C]0.1[/C][C]2.53951925595548[/C][C]0.000708983307018349[/C][/ROW]
[ROW][C]0.11[/C][C]2.53984151968775[/C][C]0.000237925968753047[/C][/ROW]
[ROW][C]0.12[/C][C]2.53995140909088[/C][C]7.50784907826039e-05[/C][/ROW]
[ROW][C]0.13[/C][C]2.53998687642662[/C][C]2.3783780263788e-05[/C][/ROW]
[ROW][C]0.14[/C][C]2.53999897247671[/C][C]1.60491128249351e-05[/C][/ROW]
[ROW][C]0.15[/C][C]2.54000607665999[/C][C]3.29405443355911e-05[/C][/ROW]
[ROW][C]0.16[/C][C]2.54001631493232[/C][C]7.08534728076399e-05[/C][/ROW]
[ROW][C]0.17[/C][C]2.54003662162475[/C][C]0.000149203944589671[/C][/ROW]
[ROW][C]0.18[/C][C]2.54007714267382[/C][C]0.000296495018094859[/C][/ROW]
[ROW][C]0.19[/C][C]2.54015455262997[/C][C]0.000557601921126782[/C][/ROW]
[ROW][C]0.2[/C][C]2.54029553015091[/C][C]0.00100138801272683[/C][/ROW]
[ROW][C]0.21[/C][C]2.5405405793617[/C][C]0.00171297605615449[/C][/ROW]
[ROW][C]0.22[/C][C]2.5409477925657[/C][C]0.00280235613876753[/C][/ROW]
[ROW][C]0.23[/C][C]2.5415957221133[/C][C]0.00439099557443063[/C][/ROW]
[ROW][C]0.24[/C][C]2.54258423184281[/C][C]0.00659557949929724[/C][/ROW]
[ROW][C]0.25[/C][C]2.54403211500563[/C][C]0.00951175146759151[/C][/ROW]
[ROW][C]0.26[/C][C]2.54607050152053[/C][C]0.0131815946431721[/C][/ROW]
[ROW][C]0.27[/C][C]2.54883168776326[/C][C]0.0175745030886872[/C][/ROW]
[ROW][C]0.28[/C][C]2.55243395792926[/C][C]0.0225680530547299[/C][/ROW]
[ROW][C]0.29[/C][C]2.55696405317166[/C][C]0.0279307871400779[/C][/ROW]
[ROW][C]0.3[/C][C]2.56245990842991[/C][C]0.0333480380513337[/C][/ROW]
[ROW][C]0.31[/C][C]2.56889681257029[/C][C]0.0384353187005161[/C][/ROW]
[ROW][C]0.32[/C][C]2.57618001932311[/C][C]0.0427928390309683[/C][/ROW]
[ROW][C]0.33[/C][C]2.58414596930856[/C][C]0.0460533277944695[/C][/ROW]
[ROW][C]0.34[/C][C]2.59257281075766[/C][C]0.0479308107638895[/C][/ROW]
[ROW][C]0.35[/C][C]2.60119915107485[/C][C]0.0482713018169275[/C][/ROW]
[ROW][C]0.36[/C][C]2.60974835857376[/C][C]0.047061410855992[/C][/ROW]
[ROW][C]0.37[/C][C]2.61795466590014[/C][C]0.0444350388569969[/C][/ROW]
[ROW][C]0.38[/C][C]2.62558706187727[/C][C]0.0406485105452629[/C][/ROW]
[ROW][C]0.39[/C][C]2.63246753643918[/C][C]0.0360399157192595[/C][/ROW]
[ROW][C]0.4[/C][C]2.63848148271628[/C][C]0.030977034342117[/C][/ROW]
[ROW][C]0.41[/C][C]2.64357962527693[/C][C]0.025822782906274[/C][/ROW]
[ROW][C]0.42[/C][C]2.64777235112633[/C][C]0.0208794357222505[/C][/ROW]
[ROW][C]0.43[/C][C]2.65111845051039[/C][C]0.0163817676418024[/C][/ROW]
[ROW][C]0.44[/C][C]2.65371084799758[/C][C]0.0124756079365938[/C][/ROW]
[ROW][C]0.45[/C][C]2.65566190525087[/C][C]0.00922599039319992[/C][/ROW]
[ROW][C]0.46[/C][C]2.65709042760229[/C][C]0.00663389638682853[/C][/ROW]
[ROW][C]0.47[/C][C]2.65811180672797[/C][C]0.00465327937814787[/C][/ROW]
[ROW][C]0.48[/C][C]2.65883198947649[/C][C]0.00321065287723205[/C][/ROW]
[ROW][C]0.49[/C][C]2.65934533850581[/C][C]0.00223905875349056[/C][/ROW]
[ROW][C]0.5[/C][C]2.65973602569108[/C][C]0.00170341538561062[/C][/ROW]
[ROW][C]0.51[/C][C]2.66008237461148[/C][C]0.00163755169119942[/C][/ROW]
[ROW][C]0.52[/C][C]2.66046348107453[/C][C]0.00208868761358817[/C][/ROW]
[ROW][C]0.53[/C][C]2.66096739555525[/C][C]0.00307881025629315[/C][/ROW]
[ROW][C]0.54[/C][C]2.66170005572529[/C][C]0.00469320524666096[/C][/ROW]
[ROW][C]0.55[/C][C]2.66279395205518[/C][C]0.00709676193705022[/C][/ROW]
[ROW][C]0.56[/C][C]2.66441519489735[/C][C]0.0104910753293847[/C][/ROW]
[ROW][C]0.57[/C][C]2.66676730036313[/C][C]0.0150913754225246[/C][/ROW]
[ROW][C]0.58[/C][C]2.6700897676812[/C][C]0.021085625503561[/C][/ROW]
[ROW][C]0.59[/C][C]2.67464957100179[/C][C]0.0285936442017976[/C][/ROW]
[ROW][C]0.6[/C][C]2.68072421824065[/C][C]0.0376191508506235[/C][/ROW]
[ROW][C]0.61[/C][C]2.68857614952111[/C][C]0.0479982028368991[/C][/ROW]
[ROW][C]0.62[/C][C]2.69841992181428[/C][C]0.0593743583327749[/C][/ROW]
[ROW][C]0.63[/C][C]2.71038561929012[/C][C]0.0711851599832389[/C][/ROW]
[ROW][C]0.64[/C][C]2.72448380714445[/C][C]0.0826881958641974[/C][/ROW]
[ROW][C]0.65[/C][C]2.74057855314471[/C][C]0.0930254523194489[/C][/ROW]
[ROW][C]0.66[/C][C]2.75837504307448[/C][C]0.101314561599587[/C][/ROW]
[ROW][C]0.67[/C][C]2.77742679359708[/C][C]0.106771794241394[/C][/ROW]
[ROW][C]0.68[/C][C]2.79716447867958[/C][C]0.108829675912176[/C][/ROW]
[ROW][C]0.69[/C][C]2.81694444721404[/C][C]0.107230536608027[/C][/ROW]
[ROW][C]0.7[/C][C]2.83611101378364[/C][C]0.10208101006727[/C][/ROW]
[ROW][C]0.71[/C][C]2.85406359914883[/C][C]0.0938448577686184[/C][/ROW]
[ROW][C]0.72[/C][C]2.8703186582853[/C][C]0.0832902071961153[/C][/ROW]
[ROW][C]0.73[/C][C]2.88455745023021[/C][C]0.0713765017212108[/C][/ROW]
[ROW][C]0.74[/C][C]2.89665378929133[/C][C]0.0591344590644046[/C][/ROW]
[ROW][C]0.75[/C][C]2.90668004209699[/C][C]0.0475456454627848[/C][/ROW]
[ROW][C]0.76[/C][C]2.91489349700488[/C][C]0.0374648016355499[/C][/ROW]
[ROW][C]0.77[/C][C]2.92170759814764[/C][C]0.0296193962204117[/C][/ROW]
[ROW][C]0.78[/C][C]2.9276527229758[/C][C]0.0246643982914735[/C][/ROW]
[ROW][C]0.79[/C][C]2.93332941078198[/C][C]0.0231467381547028[/C][/ROW]
[ROW][C]0.8[/C][C]2.93935441292157[/C][C]0.0251142596136128[/C][/ROW]
[ROW][C]0.81[/C][C]2.94629847029435[/C][C]0.0298840517572444[/C][/ROW]
[ROW][C]0.82[/C][C]2.95461608454433[/C][C]0.0364345960315966[/C][/ROW]
[ROW][C]0.83[/C][C]2.96457243926612[/C][C]0.0436488930220453[/C][/ROW]
[ROW][C]0.84[/C][C]2.97617985391964[/C][C]0.0503206146238842[/C][/ROW]
[ROW][C]0.85[/C][C]2.98916243910929[/C][C]0.0552202512595467[/C][/ROW]
[ROW][C]0.86[/C][C]3.002968543285[/C][C]0.0572880698744087[/C][/ROW]
[ROW][C]0.87[/C][C]3.01684267027137[/C][C]0.0558909469920888[/C][/ROW]
[ROW][C]0.88[/C][C]3.02995182671711[/C][C]0.051020459342636[/C][/ROW]
[ROW][C]0.89[/C][C]3.04154073492587[/C][C]0.0433396512949548[/C][/ROW]
[ROW][C]0.9[/C][C]3.05107495377339[/C][C]0.0340430350496011[/C][/ROW]
[ROW][C]0.91[/C][C]3.05832955748728[/C][C]0.0245407381543238[/C][/ROW]
[ROW][C]0.92[/C][C]3.0633971209157[/C][C]0.0160848568100734[/C][/ROW]
[ROW][C]0.93[/C][C]3.06661708233094[/C][C]0.00947077495124333[/C][/ROW]
[ROW][C]0.94[/C][C]3.06845654656184[/C][C]0.00493138163053756[/C][/ROW]
[ROW][C]0.95[/C][C]3.06938688221157[/C][C]0.00222252604058744[/C][/ROW]
[ROW][C]0.96[/C][C]3.06979473793334[/C][C]0.000839265850900165[/C][/ROW]
[ROW][C]0.97[/C][C]3.06994500505399[/C][C]0.000252891365668593[/C][/ROW]
[ROW][C]0.98[/C][C]3.0699892884729[/C][C]5.48857634280737e-05[/C][/ROW]
[ROW][C]0.99[/C][C]3.06999881214528[/C][C]6.9475649908954e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207001&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207001&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
0.012.30485751514620.0960638268318634
0.022.361175332524280.109417195885074
0.032.41989305201770.0997328288655528
0.042.467894170638610.0735076946491229
0.052.500955562326450.0455190939985156
0.062.52079735718630.0244391464525115
0.072.53137070858530.0116403081096047
0.082.536437138774140.0050005088519935
0.092.538641421390930.0019616212871881
0.12.539519255955480.000708983307018349
0.112.539841519687750.000237925968753047
0.122.539951409090887.50784907826039e-05
0.132.539986876426622.3783780263788e-05
0.142.539998972476711.60491128249351e-05
0.152.540006076659993.29405443355911e-05
0.162.540016314932327.08534728076399e-05
0.172.540036621624750.000149203944589671
0.182.540077142673820.000296495018094859
0.192.540154552629970.000557601921126782
0.22.540295530150910.00100138801272683
0.212.54054057936170.00171297605615449
0.222.54094779256570.00280235613876753
0.232.54159572211330.00439099557443063
0.242.542584231842810.00659557949929724
0.252.544032115005630.00951175146759151
0.262.546070501520530.0131815946431721
0.272.548831687763260.0175745030886872
0.282.552433957929260.0225680530547299
0.292.556964053171660.0279307871400779
0.32.562459908429910.0333480380513337
0.312.568896812570290.0384353187005161
0.322.576180019323110.0427928390309683
0.332.584145969308560.0460533277944695
0.342.592572810757660.0479308107638895
0.352.601199151074850.0482713018169275
0.362.609748358573760.047061410855992
0.372.617954665900140.0444350388569969
0.382.625587061877270.0406485105452629
0.392.632467536439180.0360399157192595
0.42.638481482716280.030977034342117
0.412.643579625276930.025822782906274
0.422.647772351126330.0208794357222505
0.432.651118450510390.0163817676418024
0.442.653710847997580.0124756079365938
0.452.655661905250870.00922599039319992
0.462.657090427602290.00663389638682853
0.472.658111806727970.00465327937814787
0.482.658831989476490.00321065287723205
0.492.659345338505810.00223905875349056
0.52.659736025691080.00170341538561062
0.512.660082374611480.00163755169119942
0.522.660463481074530.00208868761358817
0.532.660967395555250.00307881025629315
0.542.661700055725290.00469320524666096
0.552.662793952055180.00709676193705022
0.562.664415194897350.0104910753293847
0.572.666767300363130.0150913754225246
0.582.67008976768120.021085625503561
0.592.674649571001790.0285936442017976
0.62.680724218240650.0376191508506235
0.612.688576149521110.0479982028368991
0.622.698419921814280.0593743583327749
0.632.710385619290120.0711851599832389
0.642.724483807144450.0826881958641974
0.652.740578553144710.0930254523194489
0.662.758375043074480.101314561599587
0.672.777426793597080.106771794241394
0.682.797164478679580.108829675912176
0.692.816944447214040.107230536608027
0.72.836111013783640.10208101006727
0.712.854063599148830.0938448577686184
0.722.87031865828530.0832902071961153
0.732.884557450230210.0713765017212108
0.742.896653789291330.0591344590644046
0.752.906680042096990.0475456454627848
0.762.914893497004880.0374648016355499
0.772.921707598147640.0296193962204117
0.782.92765272297580.0246643982914735
0.792.933329410781980.0231467381547028
0.82.939354412921570.0251142596136128
0.812.946298470294350.0298840517572444
0.822.954616084544330.0364345960315966
0.832.964572439266120.0436488930220453
0.842.976179853919640.0503206146238842
0.852.989162439109290.0552202512595467
0.863.0029685432850.0572880698744087
0.873.016842670271370.0558909469920888
0.883.029951826717110.051020459342636
0.893.041540734925870.0433396512949548
0.93.051074953773390.0340430350496011
0.913.058329557487280.0245407381543238
0.923.06339712091570.0160848568100734
0.933.066617082330940.00947077495124333
0.943.068456546561840.00493138163053756
0.953.069386882211570.00222252604058744
0.963.069794737933340.000839265850900165
0.973.069945005053990.000252891365668593
0.983.06998928847295.48857634280737e-05
0.993.069998812145286.9475649908954e-06


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')