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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, 08 Oct 2014 12:41:37 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/08/t1412768517rtqafc18gjspk2p.htm/, Retrieved Sun, 19 Apr 2026 12:03:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239517, Retrieved Sun, 19 Apr 2026 12:03:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact344

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] [] [2014-10-08 11:41:37] [f2e79deb6e51141b138dd10990a8e48d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5.06
5.05
5.05
5.04
5.06
5.07
5.09
5.08
5.09
5.09
5.09
5.1
5.12
5.14
5.14
5.14
5.13
5.15
5.16
5.17
5.17
5.18
5.21
5.19
5.22
5.24
5.21
5.24
5.28
5.3
5.32
5.32
5.29
5.3
5.32
5.31
5.35
5.36
5.33
5.35
5.35
5.35
5.37
5.39
5.4
5.39
5.4
5.4
5.4
5.38
5.32
5.36
5.35
5.39
5.4
5.41
5.36
5.38
5.41
5.35
5.4
5.41
5.42
5.41
5.41
5.42
5.4
5.42
5.41
5.34
5.46
5.45
5.47
5.48
5.43
5.5
5.51
5.51
5.52
5.55
5.55
5.48
5.61
5.59
5.68
5.71
5.68
5.7
5.76
5.78
5.77
5.85
5.82
5.84
5.89
5.84

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'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=239517&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=239517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239517&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.044056904007730.0074717200897754
0.025.049546307939710.00673547075333758
0.035.054920601647120.00853456036266341
0.045.060401080721370.0107832452872033
0.055.066219801137060.0125680209144727
0.065.072250022382160.0135878469823261
0.075.078263946193810.0140221121748363
0.085.084146849597640.0144706520575713
0.095.089965113606590.0155646363658479
0.15.095907794947120.017453637618424
0.115.102163437052540.0197261980897105
0.125.10881713393530.021815482664693
0.135.115822584223470.0233339475228683
0.145.123047008151960.0242091539638084
0.155.130348017862610.0246557633984094
0.165.137637837171230.0250187971003081
0.175.144910757894720.0256439120912123
0.185.152234349534350.02674086736556
0.195.159719757400760.028359476680674
0.25.167488362589450.0304451538141754
0.215.175645762024970.0328670005515193
0.225.18426603925090.035502553381987
0.235.193384056831490.0381831753992338
0.245.202992134300260.0407345318555806
0.255.213038806139480.0429801183717977
0.265.223429492621790.0447201641331981
0.275.2340303878030.0457742363256477
0.285.244677028138790.0460097285169846
0.295.255187958966160.0453769019614211
0.35.265382248735040.0438920013307985
0.315.275098067078990.0416789581500707
0.325.284208787366280.038937121729746
0.335.292633418342380.0359002525560738
0.345.300339515710730.0327983834224072
0.355.307338616310950.0298287325234339
0.365.31367604660350.0271305471216321
0.375.319418120358810.0247643485561015
0.385.32463995014870.0227427547839534
0.395.329416379893830.0210303256730204
0.45.333817216959050.0195758535209635
0.415.337906472661450.0183730686121796
0.425.341744168662310.0173960532550512
0.435.345388739610240.0166719688768997
0.445.34889823632740.0162174025969859
0.455.352329260950880.016042726282282
0.465.355733548187770.0161164657651884
0.475.359153010553640.0163784740045656
0.485.362614627184940.0167289048589281
0.495.366126653692980.0170622846186066
0.55.369677296845130.0172687511707038
0.515.373236381425210.0172651594006336
0.525.376759837102030.0169924898448506
0.535.380196235136520.0164384940038213
0.545.383494233032450.0156252928458345
0.555.386609689228690.0146010500906695
0.565.389511373019650.0134515624225217
0.575.392184555903630.0122563136895607
0.585.394632244869040.0111150391362196
0.595.396874311327910.0101053097194136
0.65.398945184676710.00929459182809273
0.615.40089102546660.0087286589500902
0.625.402767299180520.00844052738359764
0.635.404637410587720.00846066207524547
0.645.406572570135880.00881711736603274
0.655.408652463512570.00954319569340855
0.665.410965759753690.0106808664911567
0.675.413609216693130.0122593024740463
0.685.416684277792430.0142889434627434
0.695.420290652461690.0167164886763663
0.75.424517343228640.01947081518004
0.715.429432695641310.0224146784128256
0.725.435075971310970.0253846897418934
0.735.441453342428470.0282151832818678
0.745.448540840079550.0307630526864373
0.755.456295615730150.0329572755437692
0.765.46467507520550.0348139804200798
0.775.473661358476820.0364802495563121
0.785.483286645355440.0381852696847243
0.795.49365318586190.040247963057323
0.85.504941076813090.0429809855268664
0.815.517397084548580.0466390748152899
0.825.531300040726580.0512385442039803
0.835.546903480322240.0565661415307367
0.845.564364534817940.0620814297144249
0.855.583677833189720.0670501384135597
0.865.604639485382060.0706577558311192
0.875.626862687269740.072280672556884
0.885.649849659683050.0716963865009756
0.895.673099561382490.0691685173125388
0.95.696212208701190.0653233919553447
0.915.71894478550960.0608636659777675
0.925.741190914688320.0562815795689938
0.935.762867906497390.0516907416443155
0.945.783732996002120.046683664493757
0.955.803258694468370.0403776169204768
0.965.820893156945440.0322189103568744
0.975.837047218571030.0238281070108351
0.985.854119904939370.0210503733248504
0.995.874050283130610.0291688236027473

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.04405690400773 & 0.0074717200897754 \tabularnewline
0.02 & 5.04954630793971 & 0.00673547075333758 \tabularnewline
0.03 & 5.05492060164712 & 0.00853456036266341 \tabularnewline
0.04 & 5.06040108072137 & 0.0107832452872033 \tabularnewline
0.05 & 5.06621980113706 & 0.0125680209144727 \tabularnewline
0.06 & 5.07225002238216 & 0.0135878469823261 \tabularnewline
0.07 & 5.07826394619381 & 0.0140221121748363 \tabularnewline
0.08 & 5.08414684959764 & 0.0144706520575713 \tabularnewline
0.09 & 5.08996511360659 & 0.0155646363658479 \tabularnewline
0.1 & 5.09590779494712 & 0.017453637618424 \tabularnewline
0.11 & 5.10216343705254 & 0.0197261980897105 \tabularnewline
0.12 & 5.1088171339353 & 0.021815482664693 \tabularnewline
0.13 & 5.11582258422347 & 0.0233339475228683 \tabularnewline
0.14 & 5.12304700815196 & 0.0242091539638084 \tabularnewline
0.15 & 5.13034801786261 & 0.0246557633984094 \tabularnewline
0.16 & 5.13763783717123 & 0.0250187971003081 \tabularnewline
0.17 & 5.14491075789472 & 0.0256439120912123 \tabularnewline
0.18 & 5.15223434953435 & 0.02674086736556 \tabularnewline
0.19 & 5.15971975740076 & 0.028359476680674 \tabularnewline
0.2 & 5.16748836258945 & 0.0304451538141754 \tabularnewline
0.21 & 5.17564576202497 & 0.0328670005515193 \tabularnewline
0.22 & 5.1842660392509 & 0.035502553381987 \tabularnewline
0.23 & 5.19338405683149 & 0.0381831753992338 \tabularnewline
0.24 & 5.20299213430026 & 0.0407345318555806 \tabularnewline
0.25 & 5.21303880613948 & 0.0429801183717977 \tabularnewline
0.26 & 5.22342949262179 & 0.0447201641331981 \tabularnewline
0.27 & 5.234030387803 & 0.0457742363256477 \tabularnewline
0.28 & 5.24467702813879 & 0.0460097285169846 \tabularnewline
0.29 & 5.25518795896616 & 0.0453769019614211 \tabularnewline
0.3 & 5.26538224873504 & 0.0438920013307985 \tabularnewline
0.31 & 5.27509806707899 & 0.0416789581500707 \tabularnewline
0.32 & 5.28420878736628 & 0.038937121729746 \tabularnewline
0.33 & 5.29263341834238 & 0.0359002525560738 \tabularnewline
0.34 & 5.30033951571073 & 0.0327983834224072 \tabularnewline
0.35 & 5.30733861631095 & 0.0298287325234339 \tabularnewline
0.36 & 5.3136760466035 & 0.0271305471216321 \tabularnewline
0.37 & 5.31941812035881 & 0.0247643485561015 \tabularnewline
0.38 & 5.3246399501487 & 0.0227427547839534 \tabularnewline
0.39 & 5.32941637989383 & 0.0210303256730204 \tabularnewline
0.4 & 5.33381721695905 & 0.0195758535209635 \tabularnewline
0.41 & 5.33790647266145 & 0.0183730686121796 \tabularnewline
0.42 & 5.34174416866231 & 0.0173960532550512 \tabularnewline
0.43 & 5.34538873961024 & 0.0166719688768997 \tabularnewline
0.44 & 5.3488982363274 & 0.0162174025969859 \tabularnewline
0.45 & 5.35232926095088 & 0.016042726282282 \tabularnewline
0.46 & 5.35573354818777 & 0.0161164657651884 \tabularnewline
0.47 & 5.35915301055364 & 0.0163784740045656 \tabularnewline
0.48 & 5.36261462718494 & 0.0167289048589281 \tabularnewline
0.49 & 5.36612665369298 & 0.0170622846186066 \tabularnewline
0.5 & 5.36967729684513 & 0.0172687511707038 \tabularnewline
0.51 & 5.37323638142521 & 0.0172651594006336 \tabularnewline
0.52 & 5.37675983710203 & 0.0169924898448506 \tabularnewline
0.53 & 5.38019623513652 & 0.0164384940038213 \tabularnewline
0.54 & 5.38349423303245 & 0.0156252928458345 \tabularnewline
0.55 & 5.38660968922869 & 0.0146010500906695 \tabularnewline
0.56 & 5.38951137301965 & 0.0134515624225217 \tabularnewline
0.57 & 5.39218455590363 & 0.0122563136895607 \tabularnewline
0.58 & 5.39463224486904 & 0.0111150391362196 \tabularnewline
0.59 & 5.39687431132791 & 0.0101053097194136 \tabularnewline
0.6 & 5.39894518467671 & 0.00929459182809273 \tabularnewline
0.61 & 5.4008910254666 & 0.0087286589500902 \tabularnewline
0.62 & 5.40276729918052 & 0.00844052738359764 \tabularnewline
0.63 & 5.40463741058772 & 0.00846066207524547 \tabularnewline
0.64 & 5.40657257013588 & 0.00881711736603274 \tabularnewline
0.65 & 5.40865246351257 & 0.00954319569340855 \tabularnewline
0.66 & 5.41096575975369 & 0.0106808664911567 \tabularnewline
0.67 & 5.41360921669313 & 0.0122593024740463 \tabularnewline
0.68 & 5.41668427779243 & 0.0142889434627434 \tabularnewline
0.69 & 5.42029065246169 & 0.0167164886763663 \tabularnewline
0.7 & 5.42451734322864 & 0.01947081518004 \tabularnewline
0.71 & 5.42943269564131 & 0.0224146784128256 \tabularnewline
0.72 & 5.43507597131097 & 0.0253846897418934 \tabularnewline
0.73 & 5.44145334242847 & 0.0282151832818678 \tabularnewline
0.74 & 5.44854084007955 & 0.0307630526864373 \tabularnewline
0.75 & 5.45629561573015 & 0.0329572755437692 \tabularnewline
0.76 & 5.4646750752055 & 0.0348139804200798 \tabularnewline
0.77 & 5.47366135847682 & 0.0364802495563121 \tabularnewline
0.78 & 5.48328664535544 & 0.0381852696847243 \tabularnewline
0.79 & 5.4936531858619 & 0.040247963057323 \tabularnewline
0.8 & 5.50494107681309 & 0.0429809855268664 \tabularnewline
0.81 & 5.51739708454858 & 0.0466390748152899 \tabularnewline
0.82 & 5.53130004072658 & 0.0512385442039803 \tabularnewline
0.83 & 5.54690348032224 & 0.0565661415307367 \tabularnewline
0.84 & 5.56436453481794 & 0.0620814297144249 \tabularnewline
0.85 & 5.58367783318972 & 0.0670501384135597 \tabularnewline
0.86 & 5.60463948538206 & 0.0706577558311192 \tabularnewline
0.87 & 5.62686268726974 & 0.072280672556884 \tabularnewline
0.88 & 5.64984965968305 & 0.0716963865009756 \tabularnewline
0.89 & 5.67309956138249 & 0.0691685173125388 \tabularnewline
0.9 & 5.69621220870119 & 0.0653233919553447 \tabularnewline
0.91 & 5.7189447855096 & 0.0608636659777675 \tabularnewline
0.92 & 5.74119091468832 & 0.0562815795689938 \tabularnewline
0.93 & 5.76286790649739 & 0.0516907416443155 \tabularnewline
0.94 & 5.78373299600212 & 0.046683664493757 \tabularnewline
0.95 & 5.80325869446837 & 0.0403776169204768 \tabularnewline
0.96 & 5.82089315694544 & 0.0322189103568744 \tabularnewline
0.97 & 5.83704721857103 & 0.0238281070108351 \tabularnewline
0.98 & 5.85411990493937 & 0.0210503733248504 \tabularnewline
0.99 & 5.87405028313061 & 0.0291688236027473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239517&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]5.04405690400773[/C][C]0.0074717200897754[/C][/ROW]
[ROW][C]0.02[/C][C]5.04954630793971[/C][C]0.00673547075333758[/C][/ROW]
[ROW][C]0.03[/C][C]5.05492060164712[/C][C]0.00853456036266341[/C][/ROW]
[ROW][C]0.04[/C][C]5.06040108072137[/C][C]0.0107832452872033[/C][/ROW]
[ROW][C]0.05[/C][C]5.06621980113706[/C][C]0.0125680209144727[/C][/ROW]
[ROW][C]0.06[/C][C]5.07225002238216[/C][C]0.0135878469823261[/C][/ROW]
[ROW][C]0.07[/C][C]5.07826394619381[/C][C]0.0140221121748363[/C][/ROW]
[ROW][C]0.08[/C][C]5.08414684959764[/C][C]0.0144706520575713[/C][/ROW]
[ROW][C]0.09[/C][C]5.08996511360659[/C][C]0.0155646363658479[/C][/ROW]
[ROW][C]0.1[/C][C]5.09590779494712[/C][C]0.017453637618424[/C][/ROW]
[ROW][C]0.11[/C][C]5.10216343705254[/C][C]0.0197261980897105[/C][/ROW]
[ROW][C]0.12[/C][C]5.1088171339353[/C][C]0.021815482664693[/C][/ROW]
[ROW][C]0.13[/C][C]5.11582258422347[/C][C]0.0233339475228683[/C][/ROW]
[ROW][C]0.14[/C][C]5.12304700815196[/C][C]0.0242091539638084[/C][/ROW]
[ROW][C]0.15[/C][C]5.13034801786261[/C][C]0.0246557633984094[/C][/ROW]
[ROW][C]0.16[/C][C]5.13763783717123[/C][C]0.0250187971003081[/C][/ROW]
[ROW][C]0.17[/C][C]5.14491075789472[/C][C]0.0256439120912123[/C][/ROW]
[ROW][C]0.18[/C][C]5.15223434953435[/C][C]0.02674086736556[/C][/ROW]
[ROW][C]0.19[/C][C]5.15971975740076[/C][C]0.028359476680674[/C][/ROW]
[ROW][C]0.2[/C][C]5.16748836258945[/C][C]0.0304451538141754[/C][/ROW]
[ROW][C]0.21[/C][C]5.17564576202497[/C][C]0.0328670005515193[/C][/ROW]
[ROW][C]0.22[/C][C]5.1842660392509[/C][C]0.035502553381987[/C][/ROW]
[ROW][C]0.23[/C][C]5.19338405683149[/C][C]0.0381831753992338[/C][/ROW]
[ROW][C]0.24[/C][C]5.20299213430026[/C][C]0.0407345318555806[/C][/ROW]
[ROW][C]0.25[/C][C]5.21303880613948[/C][C]0.0429801183717977[/C][/ROW]
[ROW][C]0.26[/C][C]5.22342949262179[/C][C]0.0447201641331981[/C][/ROW]
[ROW][C]0.27[/C][C]5.234030387803[/C][C]0.0457742363256477[/C][/ROW]
[ROW][C]0.28[/C][C]5.24467702813879[/C][C]0.0460097285169846[/C][/ROW]
[ROW][C]0.29[/C][C]5.25518795896616[/C][C]0.0453769019614211[/C][/ROW]
[ROW][C]0.3[/C][C]5.26538224873504[/C][C]0.0438920013307985[/C][/ROW]
[ROW][C]0.31[/C][C]5.27509806707899[/C][C]0.0416789581500707[/C][/ROW]
[ROW][C]0.32[/C][C]5.28420878736628[/C][C]0.038937121729746[/C][/ROW]
[ROW][C]0.33[/C][C]5.29263341834238[/C][C]0.0359002525560738[/C][/ROW]
[ROW][C]0.34[/C][C]5.30033951571073[/C][C]0.0327983834224072[/C][/ROW]
[ROW][C]0.35[/C][C]5.30733861631095[/C][C]0.0298287325234339[/C][/ROW]
[ROW][C]0.36[/C][C]5.3136760466035[/C][C]0.0271305471216321[/C][/ROW]
[ROW][C]0.37[/C][C]5.31941812035881[/C][C]0.0247643485561015[/C][/ROW]
[ROW][C]0.38[/C][C]5.3246399501487[/C][C]0.0227427547839534[/C][/ROW]
[ROW][C]0.39[/C][C]5.32941637989383[/C][C]0.0210303256730204[/C][/ROW]
[ROW][C]0.4[/C][C]5.33381721695905[/C][C]0.0195758535209635[/C][/ROW]
[ROW][C]0.41[/C][C]5.33790647266145[/C][C]0.0183730686121796[/C][/ROW]
[ROW][C]0.42[/C][C]5.34174416866231[/C][C]0.0173960532550512[/C][/ROW]
[ROW][C]0.43[/C][C]5.34538873961024[/C][C]0.0166719688768997[/C][/ROW]
[ROW][C]0.44[/C][C]5.3488982363274[/C][C]0.0162174025969859[/C][/ROW]
[ROW][C]0.45[/C][C]5.35232926095088[/C][C]0.016042726282282[/C][/ROW]
[ROW][C]0.46[/C][C]5.35573354818777[/C][C]0.0161164657651884[/C][/ROW]
[ROW][C]0.47[/C][C]5.35915301055364[/C][C]0.0163784740045656[/C][/ROW]
[ROW][C]0.48[/C][C]5.36261462718494[/C][C]0.0167289048589281[/C][/ROW]
[ROW][C]0.49[/C][C]5.36612665369298[/C][C]0.0170622846186066[/C][/ROW]
[ROW][C]0.5[/C][C]5.36967729684513[/C][C]0.0172687511707038[/C][/ROW]
[ROW][C]0.51[/C][C]5.37323638142521[/C][C]0.0172651594006336[/C][/ROW]
[ROW][C]0.52[/C][C]5.37675983710203[/C][C]0.0169924898448506[/C][/ROW]
[ROW][C]0.53[/C][C]5.38019623513652[/C][C]0.0164384940038213[/C][/ROW]
[ROW][C]0.54[/C][C]5.38349423303245[/C][C]0.0156252928458345[/C][/ROW]
[ROW][C]0.55[/C][C]5.38660968922869[/C][C]0.0146010500906695[/C][/ROW]
[ROW][C]0.56[/C][C]5.38951137301965[/C][C]0.0134515624225217[/C][/ROW]
[ROW][C]0.57[/C][C]5.39218455590363[/C][C]0.0122563136895607[/C][/ROW]
[ROW][C]0.58[/C][C]5.39463224486904[/C][C]0.0111150391362196[/C][/ROW]
[ROW][C]0.59[/C][C]5.39687431132791[/C][C]0.0101053097194136[/C][/ROW]
[ROW][C]0.6[/C][C]5.39894518467671[/C][C]0.00929459182809273[/C][/ROW]
[ROW][C]0.61[/C][C]5.4008910254666[/C][C]0.0087286589500902[/C][/ROW]
[ROW][C]0.62[/C][C]5.40276729918052[/C][C]0.00844052738359764[/C][/ROW]
[ROW][C]0.63[/C][C]5.40463741058772[/C][C]0.00846066207524547[/C][/ROW]
[ROW][C]0.64[/C][C]5.40657257013588[/C][C]0.00881711736603274[/C][/ROW]
[ROW][C]0.65[/C][C]5.40865246351257[/C][C]0.00954319569340855[/C][/ROW]
[ROW][C]0.66[/C][C]5.41096575975369[/C][C]0.0106808664911567[/C][/ROW]
[ROW][C]0.67[/C][C]5.41360921669313[/C][C]0.0122593024740463[/C][/ROW]
[ROW][C]0.68[/C][C]5.41668427779243[/C][C]0.0142889434627434[/C][/ROW]
[ROW][C]0.69[/C][C]5.42029065246169[/C][C]0.0167164886763663[/C][/ROW]
[ROW][C]0.7[/C][C]5.42451734322864[/C][C]0.01947081518004[/C][/ROW]
[ROW][C]0.71[/C][C]5.42943269564131[/C][C]0.0224146784128256[/C][/ROW]
[ROW][C]0.72[/C][C]5.43507597131097[/C][C]0.0253846897418934[/C][/ROW]
[ROW][C]0.73[/C][C]5.44145334242847[/C][C]0.0282151832818678[/C][/ROW]
[ROW][C]0.74[/C][C]5.44854084007955[/C][C]0.0307630526864373[/C][/ROW]
[ROW][C]0.75[/C][C]5.45629561573015[/C][C]0.0329572755437692[/C][/ROW]
[ROW][C]0.76[/C][C]5.4646750752055[/C][C]0.0348139804200798[/C][/ROW]
[ROW][C]0.77[/C][C]5.47366135847682[/C][C]0.0364802495563121[/C][/ROW]
[ROW][C]0.78[/C][C]5.48328664535544[/C][C]0.0381852696847243[/C][/ROW]
[ROW][C]0.79[/C][C]5.4936531858619[/C][C]0.040247963057323[/C][/ROW]
[ROW][C]0.8[/C][C]5.50494107681309[/C][C]0.0429809855268664[/C][/ROW]
[ROW][C]0.81[/C][C]5.51739708454858[/C][C]0.0466390748152899[/C][/ROW]
[ROW][C]0.82[/C][C]5.53130004072658[/C][C]0.0512385442039803[/C][/ROW]
[ROW][C]0.83[/C][C]5.54690348032224[/C][C]0.0565661415307367[/C][/ROW]
[ROW][C]0.84[/C][C]5.56436453481794[/C][C]0.0620814297144249[/C][/ROW]
[ROW][C]0.85[/C][C]5.58367783318972[/C][C]0.0670501384135597[/C][/ROW]
[ROW][C]0.86[/C][C]5.60463948538206[/C][C]0.0706577558311192[/C][/ROW]
[ROW][C]0.87[/C][C]5.62686268726974[/C][C]0.072280672556884[/C][/ROW]
[ROW][C]0.88[/C][C]5.64984965968305[/C][C]0.0716963865009756[/C][/ROW]
[ROW][C]0.89[/C][C]5.67309956138249[/C][C]0.0691685173125388[/C][/ROW]
[ROW][C]0.9[/C][C]5.69621220870119[/C][C]0.0653233919553447[/C][/ROW]
[ROW][C]0.91[/C][C]5.7189447855096[/C][C]0.0608636659777675[/C][/ROW]
[ROW][C]0.92[/C][C]5.74119091468832[/C][C]0.0562815795689938[/C][/ROW]
[ROW][C]0.93[/C][C]5.76286790649739[/C][C]0.0516907416443155[/C][/ROW]
[ROW][C]0.94[/C][C]5.78373299600212[/C][C]0.046683664493757[/C][/ROW]
[ROW][C]0.95[/C][C]5.80325869446837[/C][C]0.0403776169204768[/C][/ROW]
[ROW][C]0.96[/C][C]5.82089315694544[/C][C]0.0322189103568744[/C][/ROW]
[ROW][C]0.97[/C][C]5.83704721857103[/C][C]0.0238281070108351[/C][/ROW]
[ROW][C]0.98[/C][C]5.85411990493937[/C][C]0.0210503733248504[/C][/ROW]
[ROW][C]0.99[/C][C]5.87405028313061[/C][C]0.0291688236027473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239517&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
0.015.044056904007730.0074717200897754
0.025.049546307939710.00673547075333758
0.035.054920601647120.00853456036266341
0.045.060401080721370.0107832452872033
0.055.066219801137060.0125680209144727
0.065.072250022382160.0135878469823261
0.075.078263946193810.0140221121748363
0.085.084146849597640.0144706520575713
0.095.089965113606590.0155646363658479
0.15.095907794947120.017453637618424
0.115.102163437052540.0197261980897105
0.125.10881713393530.021815482664693
0.135.115822584223470.0233339475228683
0.145.123047008151960.0242091539638084
0.155.130348017862610.0246557633984094
0.165.137637837171230.0250187971003081
0.175.144910757894720.0256439120912123
0.185.152234349534350.02674086736556
0.195.159719757400760.028359476680674
0.25.167488362589450.0304451538141754
0.215.175645762024970.0328670005515193
0.225.18426603925090.035502553381987
0.235.193384056831490.0381831753992338
0.245.202992134300260.0407345318555806
0.255.213038806139480.0429801183717977
0.265.223429492621790.0447201641331981
0.275.2340303878030.0457742363256477
0.285.244677028138790.0460097285169846
0.295.255187958966160.0453769019614211
0.35.265382248735040.0438920013307985
0.315.275098067078990.0416789581500707
0.325.284208787366280.038937121729746
0.335.292633418342380.0359002525560738
0.345.300339515710730.0327983834224072
0.355.307338616310950.0298287325234339
0.365.31367604660350.0271305471216321
0.375.319418120358810.0247643485561015
0.385.32463995014870.0227427547839534
0.395.329416379893830.0210303256730204
0.45.333817216959050.0195758535209635
0.415.337906472661450.0183730686121796
0.425.341744168662310.0173960532550512
0.435.345388739610240.0166719688768997
0.445.34889823632740.0162174025969859
0.455.352329260950880.016042726282282
0.465.355733548187770.0161164657651884
0.475.359153010553640.0163784740045656
0.485.362614627184940.0167289048589281
0.495.366126653692980.0170622846186066
0.55.369677296845130.0172687511707038
0.515.373236381425210.0172651594006336
0.525.376759837102030.0169924898448506
0.535.380196235136520.0164384940038213
0.545.383494233032450.0156252928458345
0.555.386609689228690.0146010500906695
0.565.389511373019650.0134515624225217
0.575.392184555903630.0122563136895607
0.585.394632244869040.0111150391362196
0.595.396874311327910.0101053097194136
0.65.398945184676710.00929459182809273
0.615.40089102546660.0087286589500902
0.625.402767299180520.00844052738359764
0.635.404637410587720.00846066207524547
0.645.406572570135880.00881711736603274
0.655.408652463512570.00954319569340855
0.665.410965759753690.0106808664911567
0.675.413609216693130.0122593024740463
0.685.416684277792430.0142889434627434
0.695.420290652461690.0167164886763663
0.75.424517343228640.01947081518004
0.715.429432695641310.0224146784128256
0.725.435075971310970.0253846897418934
0.735.441453342428470.0282151832818678
0.745.448540840079550.0307630526864373
0.755.456295615730150.0329572755437692
0.765.46467507520550.0348139804200798
0.775.473661358476820.0364802495563121
0.785.483286645355440.0381852696847243
0.795.49365318586190.040247963057323
0.85.504941076813090.0429809855268664
0.815.517397084548580.0466390748152899
0.825.531300040726580.0512385442039803
0.835.546903480322240.0565661415307367
0.845.564364534817940.0620814297144249
0.855.583677833189720.0670501384135597
0.865.604639485382060.0706577558311192
0.875.626862687269740.072280672556884
0.885.649849659683050.0716963865009756
0.895.673099561382490.0691685173125388
0.95.696212208701190.0653233919553447
0.915.71894478550960.0608636659777675
0.925.741190914688320.0562815795689938
0.935.762867906497390.0516907416443155
0.945.783732996002120.046683664493757
0.955.803258694468370.0403776169204768
0.965.820893156945440.0322189103568744
0.975.837047218571030.0238281070108351
0.985.854119904939370.0210503733248504
0.995.874050283130610.0291688236027473


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):
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')