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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 computationWed, 12 Oct 2011 15:21:19 -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/2011/Oct/12/t13184474097vykcrggqb2pq9l.htm/, Retrieved Fri, 10 May 2024 05:42:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128535, Retrieved Fri, 10 May 2024 05:42:31 +0000
QR Codes:

Original text written by user:opgave vier, oefening twee, stap 2
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact91

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] [] [2011-10-12 19:21:19] [25a1dad2033db3c79b30421a00eb9df6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3,32
3,32
3,32
3,32
3,32
3,32
3,32
3,33
3,41
3,42
3,42
3,42
3,43
3,43
3,43
3,43
3,43
3,43
3,43
3,43
3,5
3,52
3,53
3,53
3,53
3,53
3,53
3,53
3,53
3,53
3,53
3,53
3,58
3,58
3,59
3,59
3,59
3,59
3,59
3,59
3,59
3,59
3,59
3,61
3,71
3,83
3,83
3,83
3,83
3,83
3,83
3,83
3,83
3,83
3,83
3,83
3,92
3,92
3,92
3,92
3,92
3,92
3,92
3,92
3,92
3,92
3,92
3,92
3,98
3,98
3,98
3,98

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128535&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128535&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128535&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.320010211128635.0825444016759e-05
0.023.320075860280350.000330767084598927
0.033.320322375921460.00122017487093099
0.043.321000860910130.00326783080125748
0.053.322499994615560.00699557120892817
0.063.325293198110810.0125953714162937
0.073.329819350330590.0196974277677504
0.083.336334826667660.0273450552496799
0.093.344798056575940.0342451962912864
0.13.354838578120410.0391720247132823
0.113.365825812450730.0413506600805373
0.123.377010340276150.0406418514125258
0.133.387684954668610.0375101742771784
0.143.397313856883560.032802261214977
0.153.405599998373090.0274949952613924
0.163.412488139890420.0224588934879169
0.173.418121459096730.0183681521772606
0.183.422776719164380.0156949076949039
0.193.426799003157620.0147186781621617
0.23.430547725724080.0154701126709475
0.213.434356816699430.0176933653629618
0.223.4385068261970.0209936526117089
0.233.443205569118030.024942633859383
0.243.44857534531690.0291026749140468
0.253.454646812704990.033031012591806
0.263.461360818084760.0363164497271721
0.273.468579332971580.0386113344313357
0.283.476105306567280.039689889545307
0.293.483709399353160.0394772230197347
0.33.491159953806330.0380461701425884
0.313.498251755733810.0356085597266856
0.323.504829362586560.0324838232412875
0.333.510801900528390.0290430000901865
0.343.516147895433230.0256687512518455
0.353.520910454961670.0227116472027158
0.363.52518457297560.020456116943769
0.373.529099253798630.0190909465711138
0.383.532797500186030.0186480307440684
0.393.536417062076760.0190203423050326
0.43.540074359039160.019976632211251
0.413.543853325564990.0212443294026921
0.423.547800203368450.0225683045281799
0.433.55192458795910.0237345379268735
0.443.556206362172630.0245995304846805
0.453.560607537997050.0250955965007802
0.463.565087503939260.0252610795257807
0.473.569619770028760.0252267229880897
0.483.574208050706940.0252301167524345
0.493.578899456635370.025600846103539
0.53.583792700254530.0267307406981638
0.513.589039569687660.029000052191536
0.523.59483849981510.0326886163982834
0.533.601419869473370.0379077951304208
0.543.609023660829250.0445812911843248
0.553.617871269244410.052449926612854
0.563.628134422727190.0610974989566275
0.573.639905161438610.0699624855148993
0.583.653171393322550.0783910521872748
0.593.667802443289170.0856840093904823
0.63.683548098934670.0911927352290671
0.613.700052937468620.0943800380866375
0.623.716885413983320.0949173128422789
0.633.733578705864030.0927214197836817
0.643.749678150544680.0879831231395335
0.653.764788763624340.0811388949028871
0.663.778616094846440.0728306683613286
0.673.790994624129950.0638138355582091
0.683.801899800470870.0548802027199073
0.693.811442269394470.0467796016444237
0.73.81984534600040.0401531834586611
0.713.827408975781620.0354695549738065
0.723.834465053104530.0329344382182879
0.733.841329966941080.0323734123142115
0.743.848260625979540.0332529289416785
0.753.855419970721980.0348463735769471
0.763.862857024236010.0364184177371074
0.773.870504751838160.0373517947401825
0.783.878196387485040.0371986052645641
0.793.885697704825260.0357270403916189
0.83.89274957399630.0329389992391652
0.813.899112914340170.029051143027477
0.823.904607671692970.0244405776180726
0.833.909139183259670.0195674167081239
0.843.912709046139690.0148819669392426
0.853.915412429540430.0107610242757072
0.863.917428099395230.00747066504535548
0.873.919009338460390.00521793304065108
0.883.920481526503570.00431997831360788
0.893.922244129422740.00519119188207632
0.93.924762063289120.00780463646344
0.913.928519151971330.0118791939517419
0.923.93390621769350.0169141504752926
0.933.941042846811590.0218622633458447
0.943.94958989904410.0251248890157289
0.953.958674540906540.0250866888399158
0.963.967059044670.0210734646315273
0.973.973575480141410.0141493212097719
0.983.977638818759580.0069012159409074
0.993.979498458086980.00191570060425402

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.32001021112863 & 5.0825444016759e-05 \tabularnewline
0.02 & 3.32007586028035 & 0.000330767084598927 \tabularnewline
0.03 & 3.32032237592146 & 0.00122017487093099 \tabularnewline
0.04 & 3.32100086091013 & 0.00326783080125748 \tabularnewline
0.05 & 3.32249999461556 & 0.00699557120892817 \tabularnewline
0.06 & 3.32529319811081 & 0.0125953714162937 \tabularnewline
0.07 & 3.32981935033059 & 0.0196974277677504 \tabularnewline
0.08 & 3.33633482666766 & 0.0273450552496799 \tabularnewline
0.09 & 3.34479805657594 & 0.0342451962912864 \tabularnewline
0.1 & 3.35483857812041 & 0.0391720247132823 \tabularnewline
0.11 & 3.36582581245073 & 0.0413506600805373 \tabularnewline
0.12 & 3.37701034027615 & 0.0406418514125258 \tabularnewline
0.13 & 3.38768495466861 & 0.0375101742771784 \tabularnewline
0.14 & 3.39731385688356 & 0.032802261214977 \tabularnewline
0.15 & 3.40559999837309 & 0.0274949952613924 \tabularnewline
0.16 & 3.41248813989042 & 0.0224588934879169 \tabularnewline
0.17 & 3.41812145909673 & 0.0183681521772606 \tabularnewline
0.18 & 3.42277671916438 & 0.0156949076949039 \tabularnewline
0.19 & 3.42679900315762 & 0.0147186781621617 \tabularnewline
0.2 & 3.43054772572408 & 0.0154701126709475 \tabularnewline
0.21 & 3.43435681669943 & 0.0176933653629618 \tabularnewline
0.22 & 3.438506826197 & 0.0209936526117089 \tabularnewline
0.23 & 3.44320556911803 & 0.024942633859383 \tabularnewline
0.24 & 3.4485753453169 & 0.0291026749140468 \tabularnewline
0.25 & 3.45464681270499 & 0.033031012591806 \tabularnewline
0.26 & 3.46136081808476 & 0.0363164497271721 \tabularnewline
0.27 & 3.46857933297158 & 0.0386113344313357 \tabularnewline
0.28 & 3.47610530656728 & 0.039689889545307 \tabularnewline
0.29 & 3.48370939935316 & 0.0394772230197347 \tabularnewline
0.3 & 3.49115995380633 & 0.0380461701425884 \tabularnewline
0.31 & 3.49825175573381 & 0.0356085597266856 \tabularnewline
0.32 & 3.50482936258656 & 0.0324838232412875 \tabularnewline
0.33 & 3.51080190052839 & 0.0290430000901865 \tabularnewline
0.34 & 3.51614789543323 & 0.0256687512518455 \tabularnewline
0.35 & 3.52091045496167 & 0.0227116472027158 \tabularnewline
0.36 & 3.5251845729756 & 0.020456116943769 \tabularnewline
0.37 & 3.52909925379863 & 0.0190909465711138 \tabularnewline
0.38 & 3.53279750018603 & 0.0186480307440684 \tabularnewline
0.39 & 3.53641706207676 & 0.0190203423050326 \tabularnewline
0.4 & 3.54007435903916 & 0.019976632211251 \tabularnewline
0.41 & 3.54385332556499 & 0.0212443294026921 \tabularnewline
0.42 & 3.54780020336845 & 0.0225683045281799 \tabularnewline
0.43 & 3.5519245879591 & 0.0237345379268735 \tabularnewline
0.44 & 3.55620636217263 & 0.0245995304846805 \tabularnewline
0.45 & 3.56060753799705 & 0.0250955965007802 \tabularnewline
0.46 & 3.56508750393926 & 0.0252610795257807 \tabularnewline
0.47 & 3.56961977002876 & 0.0252267229880897 \tabularnewline
0.48 & 3.57420805070694 & 0.0252301167524345 \tabularnewline
0.49 & 3.57889945663537 & 0.025600846103539 \tabularnewline
0.5 & 3.58379270025453 & 0.0267307406981638 \tabularnewline
0.51 & 3.58903956968766 & 0.029000052191536 \tabularnewline
0.52 & 3.5948384998151 & 0.0326886163982834 \tabularnewline
0.53 & 3.60141986947337 & 0.0379077951304208 \tabularnewline
0.54 & 3.60902366082925 & 0.0445812911843248 \tabularnewline
0.55 & 3.61787126924441 & 0.052449926612854 \tabularnewline
0.56 & 3.62813442272719 & 0.0610974989566275 \tabularnewline
0.57 & 3.63990516143861 & 0.0699624855148993 \tabularnewline
0.58 & 3.65317139332255 & 0.0783910521872748 \tabularnewline
0.59 & 3.66780244328917 & 0.0856840093904823 \tabularnewline
0.6 & 3.68354809893467 & 0.0911927352290671 \tabularnewline
0.61 & 3.70005293746862 & 0.0943800380866375 \tabularnewline
0.62 & 3.71688541398332 & 0.0949173128422789 \tabularnewline
0.63 & 3.73357870586403 & 0.0927214197836817 \tabularnewline
0.64 & 3.74967815054468 & 0.0879831231395335 \tabularnewline
0.65 & 3.76478876362434 & 0.0811388949028871 \tabularnewline
0.66 & 3.77861609484644 & 0.0728306683613286 \tabularnewline
0.67 & 3.79099462412995 & 0.0638138355582091 \tabularnewline
0.68 & 3.80189980047087 & 0.0548802027199073 \tabularnewline
0.69 & 3.81144226939447 & 0.0467796016444237 \tabularnewline
0.7 & 3.8198453460004 & 0.0401531834586611 \tabularnewline
0.71 & 3.82740897578162 & 0.0354695549738065 \tabularnewline
0.72 & 3.83446505310453 & 0.0329344382182879 \tabularnewline
0.73 & 3.84132996694108 & 0.0323734123142115 \tabularnewline
0.74 & 3.84826062597954 & 0.0332529289416785 \tabularnewline
0.75 & 3.85541997072198 & 0.0348463735769471 \tabularnewline
0.76 & 3.86285702423601 & 0.0364184177371074 \tabularnewline
0.77 & 3.87050475183816 & 0.0373517947401825 \tabularnewline
0.78 & 3.87819638748504 & 0.0371986052645641 \tabularnewline
0.79 & 3.88569770482526 & 0.0357270403916189 \tabularnewline
0.8 & 3.8927495739963 & 0.0329389992391652 \tabularnewline
0.81 & 3.89911291434017 & 0.029051143027477 \tabularnewline
0.82 & 3.90460767169297 & 0.0244405776180726 \tabularnewline
0.83 & 3.90913918325967 & 0.0195674167081239 \tabularnewline
0.84 & 3.91270904613969 & 0.0148819669392426 \tabularnewline
0.85 & 3.91541242954043 & 0.0107610242757072 \tabularnewline
0.86 & 3.91742809939523 & 0.00747066504535548 \tabularnewline
0.87 & 3.91900933846039 & 0.00521793304065108 \tabularnewline
0.88 & 3.92048152650357 & 0.00431997831360788 \tabularnewline
0.89 & 3.92224412942274 & 0.00519119188207632 \tabularnewline
0.9 & 3.92476206328912 & 0.00780463646344 \tabularnewline
0.91 & 3.92851915197133 & 0.0118791939517419 \tabularnewline
0.92 & 3.9339062176935 & 0.0169141504752926 \tabularnewline
0.93 & 3.94104284681159 & 0.0218622633458447 \tabularnewline
0.94 & 3.9495898990441 & 0.0251248890157289 \tabularnewline
0.95 & 3.95867454090654 & 0.0250866888399158 \tabularnewline
0.96 & 3.96705904467 & 0.0210734646315273 \tabularnewline
0.97 & 3.97357548014141 & 0.0141493212097719 \tabularnewline
0.98 & 3.97763881875958 & 0.0069012159409074 \tabularnewline
0.99 & 3.97949845808698 & 0.00191570060425402 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128535&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]3.32001021112863[/C][C]5.0825444016759e-05[/C][/ROW]
[ROW][C]0.02[/C][C]3.32007586028035[/C][C]0.000330767084598927[/C][/ROW]
[ROW][C]0.03[/C][C]3.32032237592146[/C][C]0.00122017487093099[/C][/ROW]
[ROW][C]0.04[/C][C]3.32100086091013[/C][C]0.00326783080125748[/C][/ROW]
[ROW][C]0.05[/C][C]3.32249999461556[/C][C]0.00699557120892817[/C][/ROW]
[ROW][C]0.06[/C][C]3.32529319811081[/C][C]0.0125953714162937[/C][/ROW]
[ROW][C]0.07[/C][C]3.32981935033059[/C][C]0.0196974277677504[/C][/ROW]
[ROW][C]0.08[/C][C]3.33633482666766[/C][C]0.0273450552496799[/C][/ROW]
[ROW][C]0.09[/C][C]3.34479805657594[/C][C]0.0342451962912864[/C][/ROW]
[ROW][C]0.1[/C][C]3.35483857812041[/C][C]0.0391720247132823[/C][/ROW]
[ROW][C]0.11[/C][C]3.36582581245073[/C][C]0.0413506600805373[/C][/ROW]
[ROW][C]0.12[/C][C]3.37701034027615[/C][C]0.0406418514125258[/C][/ROW]
[ROW][C]0.13[/C][C]3.38768495466861[/C][C]0.0375101742771784[/C][/ROW]
[ROW][C]0.14[/C][C]3.39731385688356[/C][C]0.032802261214977[/C][/ROW]
[ROW][C]0.15[/C][C]3.40559999837309[/C][C]0.0274949952613924[/C][/ROW]
[ROW][C]0.16[/C][C]3.41248813989042[/C][C]0.0224588934879169[/C][/ROW]
[ROW][C]0.17[/C][C]3.41812145909673[/C][C]0.0183681521772606[/C][/ROW]
[ROW][C]0.18[/C][C]3.42277671916438[/C][C]0.0156949076949039[/C][/ROW]
[ROW][C]0.19[/C][C]3.42679900315762[/C][C]0.0147186781621617[/C][/ROW]
[ROW][C]0.2[/C][C]3.43054772572408[/C][C]0.0154701126709475[/C][/ROW]
[ROW][C]0.21[/C][C]3.43435681669943[/C][C]0.0176933653629618[/C][/ROW]
[ROW][C]0.22[/C][C]3.438506826197[/C][C]0.0209936526117089[/C][/ROW]
[ROW][C]0.23[/C][C]3.44320556911803[/C][C]0.024942633859383[/C][/ROW]
[ROW][C]0.24[/C][C]3.4485753453169[/C][C]0.0291026749140468[/C][/ROW]
[ROW][C]0.25[/C][C]3.45464681270499[/C][C]0.033031012591806[/C][/ROW]
[ROW][C]0.26[/C][C]3.46136081808476[/C][C]0.0363164497271721[/C][/ROW]
[ROW][C]0.27[/C][C]3.46857933297158[/C][C]0.0386113344313357[/C][/ROW]
[ROW][C]0.28[/C][C]3.47610530656728[/C][C]0.039689889545307[/C][/ROW]
[ROW][C]0.29[/C][C]3.48370939935316[/C][C]0.0394772230197347[/C][/ROW]
[ROW][C]0.3[/C][C]3.49115995380633[/C][C]0.0380461701425884[/C][/ROW]
[ROW][C]0.31[/C][C]3.49825175573381[/C][C]0.0356085597266856[/C][/ROW]
[ROW][C]0.32[/C][C]3.50482936258656[/C][C]0.0324838232412875[/C][/ROW]
[ROW][C]0.33[/C][C]3.51080190052839[/C][C]0.0290430000901865[/C][/ROW]
[ROW][C]0.34[/C][C]3.51614789543323[/C][C]0.0256687512518455[/C][/ROW]
[ROW][C]0.35[/C][C]3.52091045496167[/C][C]0.0227116472027158[/C][/ROW]
[ROW][C]0.36[/C][C]3.5251845729756[/C][C]0.020456116943769[/C][/ROW]
[ROW][C]0.37[/C][C]3.52909925379863[/C][C]0.0190909465711138[/C][/ROW]
[ROW][C]0.38[/C][C]3.53279750018603[/C][C]0.0186480307440684[/C][/ROW]
[ROW][C]0.39[/C][C]3.53641706207676[/C][C]0.0190203423050326[/C][/ROW]
[ROW][C]0.4[/C][C]3.54007435903916[/C][C]0.019976632211251[/C][/ROW]
[ROW][C]0.41[/C][C]3.54385332556499[/C][C]0.0212443294026921[/C][/ROW]
[ROW][C]0.42[/C][C]3.54780020336845[/C][C]0.0225683045281799[/C][/ROW]
[ROW][C]0.43[/C][C]3.5519245879591[/C][C]0.0237345379268735[/C][/ROW]
[ROW][C]0.44[/C][C]3.55620636217263[/C][C]0.0245995304846805[/C][/ROW]
[ROW][C]0.45[/C][C]3.56060753799705[/C][C]0.0250955965007802[/C][/ROW]
[ROW][C]0.46[/C][C]3.56508750393926[/C][C]0.0252610795257807[/C][/ROW]
[ROW][C]0.47[/C][C]3.56961977002876[/C][C]0.0252267229880897[/C][/ROW]
[ROW][C]0.48[/C][C]3.57420805070694[/C][C]0.0252301167524345[/C][/ROW]
[ROW][C]0.49[/C][C]3.57889945663537[/C][C]0.025600846103539[/C][/ROW]
[ROW][C]0.5[/C][C]3.58379270025453[/C][C]0.0267307406981638[/C][/ROW]
[ROW][C]0.51[/C][C]3.58903956968766[/C][C]0.029000052191536[/C][/ROW]
[ROW][C]0.52[/C][C]3.5948384998151[/C][C]0.0326886163982834[/C][/ROW]
[ROW][C]0.53[/C][C]3.60141986947337[/C][C]0.0379077951304208[/C][/ROW]
[ROW][C]0.54[/C][C]3.60902366082925[/C][C]0.0445812911843248[/C][/ROW]
[ROW][C]0.55[/C][C]3.61787126924441[/C][C]0.052449926612854[/C][/ROW]
[ROW][C]0.56[/C][C]3.62813442272719[/C][C]0.0610974989566275[/C][/ROW]
[ROW][C]0.57[/C][C]3.63990516143861[/C][C]0.0699624855148993[/C][/ROW]
[ROW][C]0.58[/C][C]3.65317139332255[/C][C]0.0783910521872748[/C][/ROW]
[ROW][C]0.59[/C][C]3.66780244328917[/C][C]0.0856840093904823[/C][/ROW]
[ROW][C]0.6[/C][C]3.68354809893467[/C][C]0.0911927352290671[/C][/ROW]
[ROW][C]0.61[/C][C]3.70005293746862[/C][C]0.0943800380866375[/C][/ROW]
[ROW][C]0.62[/C][C]3.71688541398332[/C][C]0.0949173128422789[/C][/ROW]
[ROW][C]0.63[/C][C]3.73357870586403[/C][C]0.0927214197836817[/C][/ROW]
[ROW][C]0.64[/C][C]3.74967815054468[/C][C]0.0879831231395335[/C][/ROW]
[ROW][C]0.65[/C][C]3.76478876362434[/C][C]0.0811388949028871[/C][/ROW]
[ROW][C]0.66[/C][C]3.77861609484644[/C][C]0.0728306683613286[/C][/ROW]
[ROW][C]0.67[/C][C]3.79099462412995[/C][C]0.0638138355582091[/C][/ROW]
[ROW][C]0.68[/C][C]3.80189980047087[/C][C]0.0548802027199073[/C][/ROW]
[ROW][C]0.69[/C][C]3.81144226939447[/C][C]0.0467796016444237[/C][/ROW]
[ROW][C]0.7[/C][C]3.8198453460004[/C][C]0.0401531834586611[/C][/ROW]
[ROW][C]0.71[/C][C]3.82740897578162[/C][C]0.0354695549738065[/C][/ROW]
[ROW][C]0.72[/C][C]3.83446505310453[/C][C]0.0329344382182879[/C][/ROW]
[ROW][C]0.73[/C][C]3.84132996694108[/C][C]0.0323734123142115[/C][/ROW]
[ROW][C]0.74[/C][C]3.84826062597954[/C][C]0.0332529289416785[/C][/ROW]
[ROW][C]0.75[/C][C]3.85541997072198[/C][C]0.0348463735769471[/C][/ROW]
[ROW][C]0.76[/C][C]3.86285702423601[/C][C]0.0364184177371074[/C][/ROW]
[ROW][C]0.77[/C][C]3.87050475183816[/C][C]0.0373517947401825[/C][/ROW]
[ROW][C]0.78[/C][C]3.87819638748504[/C][C]0.0371986052645641[/C][/ROW]
[ROW][C]0.79[/C][C]3.88569770482526[/C][C]0.0357270403916189[/C][/ROW]
[ROW][C]0.8[/C][C]3.8927495739963[/C][C]0.0329389992391652[/C][/ROW]
[ROW][C]0.81[/C][C]3.89911291434017[/C][C]0.029051143027477[/C][/ROW]
[ROW][C]0.82[/C][C]3.90460767169297[/C][C]0.0244405776180726[/C][/ROW]
[ROW][C]0.83[/C][C]3.90913918325967[/C][C]0.0195674167081239[/C][/ROW]
[ROW][C]0.84[/C][C]3.91270904613969[/C][C]0.0148819669392426[/C][/ROW]
[ROW][C]0.85[/C][C]3.91541242954043[/C][C]0.0107610242757072[/C][/ROW]
[ROW][C]0.86[/C][C]3.91742809939523[/C][C]0.00747066504535548[/C][/ROW]
[ROW][C]0.87[/C][C]3.91900933846039[/C][C]0.00521793304065108[/C][/ROW]
[ROW][C]0.88[/C][C]3.92048152650357[/C][C]0.00431997831360788[/C][/ROW]
[ROW][C]0.89[/C][C]3.92224412942274[/C][C]0.00519119188207632[/C][/ROW]
[ROW][C]0.9[/C][C]3.92476206328912[/C][C]0.00780463646344[/C][/ROW]
[ROW][C]0.91[/C][C]3.92851915197133[/C][C]0.0118791939517419[/C][/ROW]
[ROW][C]0.92[/C][C]3.9339062176935[/C][C]0.0169141504752926[/C][/ROW]
[ROW][C]0.93[/C][C]3.94104284681159[/C][C]0.0218622633458447[/C][/ROW]
[ROW][C]0.94[/C][C]3.9495898990441[/C][C]0.0251248890157289[/C][/ROW]
[ROW][C]0.95[/C][C]3.95867454090654[/C][C]0.0250866888399158[/C][/ROW]
[ROW][C]0.96[/C][C]3.96705904467[/C][C]0.0210734646315273[/C][/ROW]
[ROW][C]0.97[/C][C]3.97357548014141[/C][C]0.0141493212097719[/C][/ROW]
[ROW][C]0.98[/C][C]3.97763881875958[/C][C]0.0069012159409074[/C][/ROW]
[ROW][C]0.99[/C][C]3.97949845808698[/C][C]0.00191570060425402[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128535&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128535&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
0.013.320010211128635.0825444016759e-05
0.023.320075860280350.000330767084598927
0.033.320322375921460.00122017487093099
0.043.321000860910130.00326783080125748
0.053.322499994615560.00699557120892817
0.063.325293198110810.0125953714162937
0.073.329819350330590.0196974277677504
0.083.336334826667660.0273450552496799
0.093.344798056575940.0342451962912864
0.13.354838578120410.0391720247132823
0.113.365825812450730.0413506600805373
0.123.377010340276150.0406418514125258
0.133.387684954668610.0375101742771784
0.143.397313856883560.032802261214977
0.153.405599998373090.0274949952613924
0.163.412488139890420.0224588934879169
0.173.418121459096730.0183681521772606
0.183.422776719164380.0156949076949039
0.193.426799003157620.0147186781621617
0.23.430547725724080.0154701126709475
0.213.434356816699430.0176933653629618
0.223.4385068261970.0209936526117089
0.233.443205569118030.024942633859383
0.243.44857534531690.0291026749140468
0.253.454646812704990.033031012591806
0.263.461360818084760.0363164497271721
0.273.468579332971580.0386113344313357
0.283.476105306567280.039689889545307
0.293.483709399353160.0394772230197347
0.33.491159953806330.0380461701425884
0.313.498251755733810.0356085597266856
0.323.504829362586560.0324838232412875
0.333.510801900528390.0290430000901865
0.343.516147895433230.0256687512518455
0.353.520910454961670.0227116472027158
0.363.52518457297560.020456116943769
0.373.529099253798630.0190909465711138
0.383.532797500186030.0186480307440684
0.393.536417062076760.0190203423050326
0.43.540074359039160.019976632211251
0.413.543853325564990.0212443294026921
0.423.547800203368450.0225683045281799
0.433.55192458795910.0237345379268735
0.443.556206362172630.0245995304846805
0.453.560607537997050.0250955965007802
0.463.565087503939260.0252610795257807
0.473.569619770028760.0252267229880897
0.483.574208050706940.0252301167524345
0.493.578899456635370.025600846103539
0.53.583792700254530.0267307406981638
0.513.589039569687660.029000052191536
0.523.59483849981510.0326886163982834
0.533.601419869473370.0379077951304208
0.543.609023660829250.0445812911843248
0.553.617871269244410.052449926612854
0.563.628134422727190.0610974989566275
0.573.639905161438610.0699624855148993
0.583.653171393322550.0783910521872748
0.593.667802443289170.0856840093904823
0.63.683548098934670.0911927352290671
0.613.700052937468620.0943800380866375
0.623.716885413983320.0949173128422789
0.633.733578705864030.0927214197836817
0.643.749678150544680.0879831231395335
0.653.764788763624340.0811388949028871
0.663.778616094846440.0728306683613286
0.673.790994624129950.0638138355582091
0.683.801899800470870.0548802027199073
0.693.811442269394470.0467796016444237
0.73.81984534600040.0401531834586611
0.713.827408975781620.0354695549738065
0.723.834465053104530.0329344382182879
0.733.841329966941080.0323734123142115
0.743.848260625979540.0332529289416785
0.753.855419970721980.0348463735769471
0.763.862857024236010.0364184177371074
0.773.870504751838160.0373517947401825
0.783.878196387485040.0371986052645641
0.793.885697704825260.0357270403916189
0.83.89274957399630.0329389992391652
0.813.899112914340170.029051143027477
0.823.904607671692970.0244405776180726
0.833.909139183259670.0195674167081239
0.843.912709046139690.0148819669392426
0.853.915412429540430.0107610242757072
0.863.917428099395230.00747066504535548
0.873.919009338460390.00521793304065108
0.883.920481526503570.00431997831360788
0.893.922244129422740.00519119188207632
0.93.924762063289120.00780463646344
0.913.928519151971330.0118791939517419
0.923.93390621769350.0169141504752926
0.933.941042846811590.0218622633458447
0.943.94958989904410.0251248890157289
0.953.958674540906540.0250866888399158
0.963.967059044670.0210734646315273
0.973.973575480141410.0141493212097719
0.983.977638818759580.0069012159409074
0.993.979498458086980.00191570060425402


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')