FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 May 2013 23:23:56 -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/May/26/t1369625070skswdi0ysci3q6y.htm/, Retrieved Thu, 12 Feb 2026 16:10:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210731, Retrieved Thu, 12 Feb 2026 16:10:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact314

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] [] [2013-02-26 16:42:46] [29a5408ffd313e16fe1b983b4342b9cb]
-    D    [Harrell-Davis Quantiles] [] [2013-05-27 03:23:56] [c3f863f9a10611e864186291c75f3c4f] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
108,56
108,71
116,73
118,88
119,6
119,62
119,64
119,74
119,74
119,74
119,9
119,9
119,9
119,9
119,9
121,02
122,95
123,62
123,67
123,81
123,83
123,83
123,83
123,83
123,89
123,89
124,44
125,51
125,89
126,12
126,25
126,25
126,3
126,31
126,38
125,51
126,82
126,86
126,86
127,28
128,72
128,77
128,84
128,88
128,88
128,88
128,88
128,88
128,89
128,9
128,92
129,05
129,83
130,54
130,82
130,91
131,04
131,07
131,15
131,2
131,2
131,42
131,45
131,7
134,24
135,17
135,51
135,65
136,02
136,07
136,13
136,07

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210731&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210731&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210731&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01109.2892611772052.12413286775542
0.02110.8608392423053.98235000537239
0.03112.9310418869134.50814642778368
0.04114.9892115875413.90258819831385
0.05116.6791940142412.86007199255088
0.06117.8879306249891.88351970859277
0.07118.6702396879581.16159450371096
0.08119.1433752025410.694204766969948
0.09119.4198841420530.419303951367929
0.1119.5833373688220.276015334296525
0.11119.6883681227060.223615169987273
0.12119.7688073737790.23684980039769
0.13119.8458380039310.298760249041622
0.14119.9336864999840.400534806771235
0.15120.0427932269060.537350595255774
0.16120.181092009020.703001613927917
0.17120.3540976703610.887171822532142
0.18120.5644222312621.07521672015392
0.19120.8112353387691.24961389013368
0.2121.0900518828671.39266651760315
0.21121.3930615046051.48971465760298
0.22121.7100273463691.53188141174095
0.23122.0296116314091.517412051386
0.24122.3408722865191.45175119822231
0.25122.6346409882431.3466068611017
0.26122.9045373173191.21765991068186
0.27123.1474726210851.08211298658763
0.28123.363615773940.956128668186206
0.29123.5558979704070.853431113330518
0.3123.7292030004150.783091104181384
0.31123.8894160392850.748907540074872
0.32124.0424933295390.748017663691965
0.33124.1936797526550.772405332558854
0.34124.3469548795690.812023954925155
0.35124.5047415423330.856216065081413
0.36124.6678709337420.896300735965537
0.37124.835767651870.925895593212559
0.38125.0067975905190.940785426161757
0.39125.1787107430360.939546678410624
0.4125.3491090969890.923388927679361
0.41125.5158758402170.895190582147694
0.42125.6775145983390.859967314026411
0.43125.8333643254060.823362383108735
0.44125.9836743003310.791223680212999
0.45126.1295419528350.76867492828492
0.46126.2727319112570.759730462084414
0.47126.4154064528590.765902871368064
0.48126.5598049811080.786730563258821
0.49126.7079133936470.818958928874146
0.5126.8611636406020.858127460372171
0.51127.0201997716880.898414494018695
0.52127.1847395534630.933619017730371
0.53127.3535505055770.958367636068714
0.54127.5245464201580.967793408168647
0.55127.6949960989350.959027340013769
0.56127.8618218199590.93094334339469
0.57128.0219530317860.884381506643609
0.58128.1726930475720.822229308803605
0.59128.3120545311030.749344204816668
0.6128.4390236718830.671446590672955
0.61128.5537221985890.595235161399372
0.62128.6574488350470.528012043339493
0.63128.7525951465240.476320465998986
0.64128.8424430325880.445977560229216
0.65128.9308614260640.441107183025017
0.66129.0219281474240.461743946300857
0.67129.1195100668080.504708737544701
0.68129.2268413100450.563652418689434
0.69129.3461448319090.63092449612422
0.7129.4783455916610.698360073796032
0.71129.6229212089080.758249845564336
0.72129.7779259505130.803264189066562
0.73129.9402054462180.828046399826715
0.74130.105794678480.829485209883057
0.75130.2704654693560.807511056104827
0.76130.4303684116580.765068156808768
0.77130.5827034648930.70796074956099
0.78130.7263546725510.644989854485847
0.79130.8624328416150.586622885273155
0.8130.9946749402460.545943986333914
0.81131.1296382553780.53752289180874
0.82131.2765954437350.574969316631785
0.83131.4469943269320.666279057169683
0.84131.6533270107220.810473050800801
0.85131.9073075467930.997262052393579
0.86132.2174314627571.2070145801499
0.87132.5862849563931.41106484812979
0.88133.0083032607771.57449364287087
0.89133.4688725853761.66318793130126
0.9133.9455229576171.65264847930842
0.91134.4113655994831.53680843962279
0.92134.8400307347641.33181959096361
0.93135.2105915636831.07207795984015
0.94135.5108562299790.799117573328386
0.95135.7382140084480.548746403269601
0.96135.898480246220.342730713893322
0.97136.0037772903440.189986260829351
0.98136.0695465483260.0940188406493728
0.99136.1095180613150.0576978139166149

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 109.289261177205 & 2.12413286775542 \tabularnewline
0.02 & 110.860839242305 & 3.98235000537239 \tabularnewline
0.03 & 112.931041886913 & 4.50814642778368 \tabularnewline
0.04 & 114.989211587541 & 3.90258819831385 \tabularnewline
0.05 & 116.679194014241 & 2.86007199255088 \tabularnewline
0.06 & 117.887930624989 & 1.88351970859277 \tabularnewline
0.07 & 118.670239687958 & 1.16159450371096 \tabularnewline
0.08 & 119.143375202541 & 0.694204766969948 \tabularnewline
0.09 & 119.419884142053 & 0.419303951367929 \tabularnewline
0.1 & 119.583337368822 & 0.276015334296525 \tabularnewline
0.11 & 119.688368122706 & 0.223615169987273 \tabularnewline
0.12 & 119.768807373779 & 0.23684980039769 \tabularnewline
0.13 & 119.845838003931 & 0.298760249041622 \tabularnewline
0.14 & 119.933686499984 & 0.400534806771235 \tabularnewline
0.15 & 120.042793226906 & 0.537350595255774 \tabularnewline
0.16 & 120.18109200902 & 0.703001613927917 \tabularnewline
0.17 & 120.354097670361 & 0.887171822532142 \tabularnewline
0.18 & 120.564422231262 & 1.07521672015392 \tabularnewline
0.19 & 120.811235338769 & 1.24961389013368 \tabularnewline
0.2 & 121.090051882867 & 1.39266651760315 \tabularnewline
0.21 & 121.393061504605 & 1.48971465760298 \tabularnewline
0.22 & 121.710027346369 & 1.53188141174095 \tabularnewline
0.23 & 122.029611631409 & 1.517412051386 \tabularnewline
0.24 & 122.340872286519 & 1.45175119822231 \tabularnewline
0.25 & 122.634640988243 & 1.3466068611017 \tabularnewline
0.26 & 122.904537317319 & 1.21765991068186 \tabularnewline
0.27 & 123.147472621085 & 1.08211298658763 \tabularnewline
0.28 & 123.36361577394 & 0.956128668186206 \tabularnewline
0.29 & 123.555897970407 & 0.853431113330518 \tabularnewline
0.3 & 123.729203000415 & 0.783091104181384 \tabularnewline
0.31 & 123.889416039285 & 0.748907540074872 \tabularnewline
0.32 & 124.042493329539 & 0.748017663691965 \tabularnewline
0.33 & 124.193679752655 & 0.772405332558854 \tabularnewline
0.34 & 124.346954879569 & 0.812023954925155 \tabularnewline
0.35 & 124.504741542333 & 0.856216065081413 \tabularnewline
0.36 & 124.667870933742 & 0.896300735965537 \tabularnewline
0.37 & 124.83576765187 & 0.925895593212559 \tabularnewline
0.38 & 125.006797590519 & 0.940785426161757 \tabularnewline
0.39 & 125.178710743036 & 0.939546678410624 \tabularnewline
0.4 & 125.349109096989 & 0.923388927679361 \tabularnewline
0.41 & 125.515875840217 & 0.895190582147694 \tabularnewline
0.42 & 125.677514598339 & 0.859967314026411 \tabularnewline
0.43 & 125.833364325406 & 0.823362383108735 \tabularnewline
0.44 & 125.983674300331 & 0.791223680212999 \tabularnewline
0.45 & 126.129541952835 & 0.76867492828492 \tabularnewline
0.46 & 126.272731911257 & 0.759730462084414 \tabularnewline
0.47 & 126.415406452859 & 0.765902871368064 \tabularnewline
0.48 & 126.559804981108 & 0.786730563258821 \tabularnewline
0.49 & 126.707913393647 & 0.818958928874146 \tabularnewline
0.5 & 126.861163640602 & 0.858127460372171 \tabularnewline
0.51 & 127.020199771688 & 0.898414494018695 \tabularnewline
0.52 & 127.184739553463 & 0.933619017730371 \tabularnewline
0.53 & 127.353550505577 & 0.958367636068714 \tabularnewline
0.54 & 127.524546420158 & 0.967793408168647 \tabularnewline
0.55 & 127.694996098935 & 0.959027340013769 \tabularnewline
0.56 & 127.861821819959 & 0.93094334339469 \tabularnewline
0.57 & 128.021953031786 & 0.884381506643609 \tabularnewline
0.58 & 128.172693047572 & 0.822229308803605 \tabularnewline
0.59 & 128.312054531103 & 0.749344204816668 \tabularnewline
0.6 & 128.439023671883 & 0.671446590672955 \tabularnewline
0.61 & 128.553722198589 & 0.595235161399372 \tabularnewline
0.62 & 128.657448835047 & 0.528012043339493 \tabularnewline
0.63 & 128.752595146524 & 0.476320465998986 \tabularnewline
0.64 & 128.842443032588 & 0.445977560229216 \tabularnewline
0.65 & 128.930861426064 & 0.441107183025017 \tabularnewline
0.66 & 129.021928147424 & 0.461743946300857 \tabularnewline
0.67 & 129.119510066808 & 0.504708737544701 \tabularnewline
0.68 & 129.226841310045 & 0.563652418689434 \tabularnewline
0.69 & 129.346144831909 & 0.63092449612422 \tabularnewline
0.7 & 129.478345591661 & 0.698360073796032 \tabularnewline
0.71 & 129.622921208908 & 0.758249845564336 \tabularnewline
0.72 & 129.777925950513 & 0.803264189066562 \tabularnewline
0.73 & 129.940205446218 & 0.828046399826715 \tabularnewline
0.74 & 130.10579467848 & 0.829485209883057 \tabularnewline
0.75 & 130.270465469356 & 0.807511056104827 \tabularnewline
0.76 & 130.430368411658 & 0.765068156808768 \tabularnewline
0.77 & 130.582703464893 & 0.70796074956099 \tabularnewline
0.78 & 130.726354672551 & 0.644989854485847 \tabularnewline
0.79 & 130.862432841615 & 0.586622885273155 \tabularnewline
0.8 & 130.994674940246 & 0.545943986333914 \tabularnewline
0.81 & 131.129638255378 & 0.53752289180874 \tabularnewline
0.82 & 131.276595443735 & 0.574969316631785 \tabularnewline
0.83 & 131.446994326932 & 0.666279057169683 \tabularnewline
0.84 & 131.653327010722 & 0.810473050800801 \tabularnewline
0.85 & 131.907307546793 & 0.997262052393579 \tabularnewline
0.86 & 132.217431462757 & 1.2070145801499 \tabularnewline
0.87 & 132.586284956393 & 1.41106484812979 \tabularnewline
0.88 & 133.008303260777 & 1.57449364287087 \tabularnewline
0.89 & 133.468872585376 & 1.66318793130126 \tabularnewline
0.9 & 133.945522957617 & 1.65264847930842 \tabularnewline
0.91 & 134.411365599483 & 1.53680843962279 \tabularnewline
0.92 & 134.840030734764 & 1.33181959096361 \tabularnewline
0.93 & 135.210591563683 & 1.07207795984015 \tabularnewline
0.94 & 135.510856229979 & 0.799117573328386 \tabularnewline
0.95 & 135.738214008448 & 0.548746403269601 \tabularnewline
0.96 & 135.89848024622 & 0.342730713893322 \tabularnewline
0.97 & 136.003777290344 & 0.189986260829351 \tabularnewline
0.98 & 136.069546548326 & 0.0940188406493728 \tabularnewline
0.99 & 136.109518061315 & 0.0576978139166149 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210731&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]109.289261177205[/C][C]2.12413286775542[/C][/ROW]
[ROW][C]0.02[/C][C]110.860839242305[/C][C]3.98235000537239[/C][/ROW]
[ROW][C]0.03[/C][C]112.931041886913[/C][C]4.50814642778368[/C][/ROW]
[ROW][C]0.04[/C][C]114.989211587541[/C][C]3.90258819831385[/C][/ROW]
[ROW][C]0.05[/C][C]116.679194014241[/C][C]2.86007199255088[/C][/ROW]
[ROW][C]0.06[/C][C]117.887930624989[/C][C]1.88351970859277[/C][/ROW]
[ROW][C]0.07[/C][C]118.670239687958[/C][C]1.16159450371096[/C][/ROW]
[ROW][C]0.08[/C][C]119.143375202541[/C][C]0.694204766969948[/C][/ROW]
[ROW][C]0.09[/C][C]119.419884142053[/C][C]0.419303951367929[/C][/ROW]
[ROW][C]0.1[/C][C]119.583337368822[/C][C]0.276015334296525[/C][/ROW]
[ROW][C]0.11[/C][C]119.688368122706[/C][C]0.223615169987273[/C][/ROW]
[ROW][C]0.12[/C][C]119.768807373779[/C][C]0.23684980039769[/C][/ROW]
[ROW][C]0.13[/C][C]119.845838003931[/C][C]0.298760249041622[/C][/ROW]
[ROW][C]0.14[/C][C]119.933686499984[/C][C]0.400534806771235[/C][/ROW]
[ROW][C]0.15[/C][C]120.042793226906[/C][C]0.537350595255774[/C][/ROW]
[ROW][C]0.16[/C][C]120.18109200902[/C][C]0.703001613927917[/C][/ROW]
[ROW][C]0.17[/C][C]120.354097670361[/C][C]0.887171822532142[/C][/ROW]
[ROW][C]0.18[/C][C]120.564422231262[/C][C]1.07521672015392[/C][/ROW]
[ROW][C]0.19[/C][C]120.811235338769[/C][C]1.24961389013368[/C][/ROW]
[ROW][C]0.2[/C][C]121.090051882867[/C][C]1.39266651760315[/C][/ROW]
[ROW][C]0.21[/C][C]121.393061504605[/C][C]1.48971465760298[/C][/ROW]
[ROW][C]0.22[/C][C]121.710027346369[/C][C]1.53188141174095[/C][/ROW]
[ROW][C]0.23[/C][C]122.029611631409[/C][C]1.517412051386[/C][/ROW]
[ROW][C]0.24[/C][C]122.340872286519[/C][C]1.45175119822231[/C][/ROW]
[ROW][C]0.25[/C][C]122.634640988243[/C][C]1.3466068611017[/C][/ROW]
[ROW][C]0.26[/C][C]122.904537317319[/C][C]1.21765991068186[/C][/ROW]
[ROW][C]0.27[/C][C]123.147472621085[/C][C]1.08211298658763[/C][/ROW]
[ROW][C]0.28[/C][C]123.36361577394[/C][C]0.956128668186206[/C][/ROW]
[ROW][C]0.29[/C][C]123.555897970407[/C][C]0.853431113330518[/C][/ROW]
[ROW][C]0.3[/C][C]123.729203000415[/C][C]0.783091104181384[/C][/ROW]
[ROW][C]0.31[/C][C]123.889416039285[/C][C]0.748907540074872[/C][/ROW]
[ROW][C]0.32[/C][C]124.042493329539[/C][C]0.748017663691965[/C][/ROW]
[ROW][C]0.33[/C][C]124.193679752655[/C][C]0.772405332558854[/C][/ROW]
[ROW][C]0.34[/C][C]124.346954879569[/C][C]0.812023954925155[/C][/ROW]
[ROW][C]0.35[/C][C]124.504741542333[/C][C]0.856216065081413[/C][/ROW]
[ROW][C]0.36[/C][C]124.667870933742[/C][C]0.896300735965537[/C][/ROW]
[ROW][C]0.37[/C][C]124.83576765187[/C][C]0.925895593212559[/C][/ROW]
[ROW][C]0.38[/C][C]125.006797590519[/C][C]0.940785426161757[/C][/ROW]
[ROW][C]0.39[/C][C]125.178710743036[/C][C]0.939546678410624[/C][/ROW]
[ROW][C]0.4[/C][C]125.349109096989[/C][C]0.923388927679361[/C][/ROW]
[ROW][C]0.41[/C][C]125.515875840217[/C][C]0.895190582147694[/C][/ROW]
[ROW][C]0.42[/C][C]125.677514598339[/C][C]0.859967314026411[/C][/ROW]
[ROW][C]0.43[/C][C]125.833364325406[/C][C]0.823362383108735[/C][/ROW]
[ROW][C]0.44[/C][C]125.983674300331[/C][C]0.791223680212999[/C][/ROW]
[ROW][C]0.45[/C][C]126.129541952835[/C][C]0.76867492828492[/C][/ROW]
[ROW][C]0.46[/C][C]126.272731911257[/C][C]0.759730462084414[/C][/ROW]
[ROW][C]0.47[/C][C]126.415406452859[/C][C]0.765902871368064[/C][/ROW]
[ROW][C]0.48[/C][C]126.559804981108[/C][C]0.786730563258821[/C][/ROW]
[ROW][C]0.49[/C][C]126.707913393647[/C][C]0.818958928874146[/C][/ROW]
[ROW][C]0.5[/C][C]126.861163640602[/C][C]0.858127460372171[/C][/ROW]
[ROW][C]0.51[/C][C]127.020199771688[/C][C]0.898414494018695[/C][/ROW]
[ROW][C]0.52[/C][C]127.184739553463[/C][C]0.933619017730371[/C][/ROW]
[ROW][C]0.53[/C][C]127.353550505577[/C][C]0.958367636068714[/C][/ROW]
[ROW][C]0.54[/C][C]127.524546420158[/C][C]0.967793408168647[/C][/ROW]
[ROW][C]0.55[/C][C]127.694996098935[/C][C]0.959027340013769[/C][/ROW]
[ROW][C]0.56[/C][C]127.861821819959[/C][C]0.93094334339469[/C][/ROW]
[ROW][C]0.57[/C][C]128.021953031786[/C][C]0.884381506643609[/C][/ROW]
[ROW][C]0.58[/C][C]128.172693047572[/C][C]0.822229308803605[/C][/ROW]
[ROW][C]0.59[/C][C]128.312054531103[/C][C]0.749344204816668[/C][/ROW]
[ROW][C]0.6[/C][C]128.439023671883[/C][C]0.671446590672955[/C][/ROW]
[ROW][C]0.61[/C][C]128.553722198589[/C][C]0.595235161399372[/C][/ROW]
[ROW][C]0.62[/C][C]128.657448835047[/C][C]0.528012043339493[/C][/ROW]
[ROW][C]0.63[/C][C]128.752595146524[/C][C]0.476320465998986[/C][/ROW]
[ROW][C]0.64[/C][C]128.842443032588[/C][C]0.445977560229216[/C][/ROW]
[ROW][C]0.65[/C][C]128.930861426064[/C][C]0.441107183025017[/C][/ROW]
[ROW][C]0.66[/C][C]129.021928147424[/C][C]0.461743946300857[/C][/ROW]
[ROW][C]0.67[/C][C]129.119510066808[/C][C]0.504708737544701[/C][/ROW]
[ROW][C]0.68[/C][C]129.226841310045[/C][C]0.563652418689434[/C][/ROW]
[ROW][C]0.69[/C][C]129.346144831909[/C][C]0.63092449612422[/C][/ROW]
[ROW][C]0.7[/C][C]129.478345591661[/C][C]0.698360073796032[/C][/ROW]
[ROW][C]0.71[/C][C]129.622921208908[/C][C]0.758249845564336[/C][/ROW]
[ROW][C]0.72[/C][C]129.777925950513[/C][C]0.803264189066562[/C][/ROW]
[ROW][C]0.73[/C][C]129.940205446218[/C][C]0.828046399826715[/C][/ROW]
[ROW][C]0.74[/C][C]130.10579467848[/C][C]0.829485209883057[/C][/ROW]
[ROW][C]0.75[/C][C]130.270465469356[/C][C]0.807511056104827[/C][/ROW]
[ROW][C]0.76[/C][C]130.430368411658[/C][C]0.765068156808768[/C][/ROW]
[ROW][C]0.77[/C][C]130.582703464893[/C][C]0.70796074956099[/C][/ROW]
[ROW][C]0.78[/C][C]130.726354672551[/C][C]0.644989854485847[/C][/ROW]
[ROW][C]0.79[/C][C]130.862432841615[/C][C]0.586622885273155[/C][/ROW]
[ROW][C]0.8[/C][C]130.994674940246[/C][C]0.545943986333914[/C][/ROW]
[ROW][C]0.81[/C][C]131.129638255378[/C][C]0.53752289180874[/C][/ROW]
[ROW][C]0.82[/C][C]131.276595443735[/C][C]0.574969316631785[/C][/ROW]
[ROW][C]0.83[/C][C]131.446994326932[/C][C]0.666279057169683[/C][/ROW]
[ROW][C]0.84[/C][C]131.653327010722[/C][C]0.810473050800801[/C][/ROW]
[ROW][C]0.85[/C][C]131.907307546793[/C][C]0.997262052393579[/C][/ROW]
[ROW][C]0.86[/C][C]132.217431462757[/C][C]1.2070145801499[/C][/ROW]
[ROW][C]0.87[/C][C]132.586284956393[/C][C]1.41106484812979[/C][/ROW]
[ROW][C]0.88[/C][C]133.008303260777[/C][C]1.57449364287087[/C][/ROW]
[ROW][C]0.89[/C][C]133.468872585376[/C][C]1.66318793130126[/C][/ROW]
[ROW][C]0.9[/C][C]133.945522957617[/C][C]1.65264847930842[/C][/ROW]
[ROW][C]0.91[/C][C]134.411365599483[/C][C]1.53680843962279[/C][/ROW]
[ROW][C]0.92[/C][C]134.840030734764[/C][C]1.33181959096361[/C][/ROW]
[ROW][C]0.93[/C][C]135.210591563683[/C][C]1.07207795984015[/C][/ROW]
[ROW][C]0.94[/C][C]135.510856229979[/C][C]0.799117573328386[/C][/ROW]
[ROW][C]0.95[/C][C]135.738214008448[/C][C]0.548746403269601[/C][/ROW]
[ROW][C]0.96[/C][C]135.89848024622[/C][C]0.342730713893322[/C][/ROW]
[ROW][C]0.97[/C][C]136.003777290344[/C][C]0.189986260829351[/C][/ROW]
[ROW][C]0.98[/C][C]136.069546548326[/C][C]0.0940188406493728[/C][/ROW]
[ROW][C]0.99[/C][C]136.109518061315[/C][C]0.0576978139166149[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210731&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210731&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
0.01109.2892611772052.12413286775542
0.02110.8608392423053.98235000537239
0.03112.9310418869134.50814642778368
0.04114.9892115875413.90258819831385
0.05116.6791940142412.86007199255088
0.06117.8879306249891.88351970859277
0.07118.6702396879581.16159450371096
0.08119.1433752025410.694204766969948
0.09119.4198841420530.419303951367929
0.1119.5833373688220.276015334296525
0.11119.6883681227060.223615169987273
0.12119.7688073737790.23684980039769
0.13119.8458380039310.298760249041622
0.14119.9336864999840.400534806771235
0.15120.0427932269060.537350595255774
0.16120.181092009020.703001613927917
0.17120.3540976703610.887171822532142
0.18120.5644222312621.07521672015392
0.19120.8112353387691.24961389013368
0.2121.0900518828671.39266651760315
0.21121.3930615046051.48971465760298
0.22121.7100273463691.53188141174095
0.23122.0296116314091.517412051386
0.24122.3408722865191.45175119822231
0.25122.6346409882431.3466068611017
0.26122.9045373173191.21765991068186
0.27123.1474726210851.08211298658763
0.28123.363615773940.956128668186206
0.29123.5558979704070.853431113330518
0.3123.7292030004150.783091104181384
0.31123.8894160392850.748907540074872
0.32124.0424933295390.748017663691965
0.33124.1936797526550.772405332558854
0.34124.3469548795690.812023954925155
0.35124.5047415423330.856216065081413
0.36124.6678709337420.896300735965537
0.37124.835767651870.925895593212559
0.38125.0067975905190.940785426161757
0.39125.1787107430360.939546678410624
0.4125.3491090969890.923388927679361
0.41125.5158758402170.895190582147694
0.42125.6775145983390.859967314026411
0.43125.8333643254060.823362383108735
0.44125.9836743003310.791223680212999
0.45126.1295419528350.76867492828492
0.46126.2727319112570.759730462084414
0.47126.4154064528590.765902871368064
0.48126.5598049811080.786730563258821
0.49126.7079133936470.818958928874146
0.5126.8611636406020.858127460372171
0.51127.0201997716880.898414494018695
0.52127.1847395534630.933619017730371
0.53127.3535505055770.958367636068714
0.54127.5245464201580.967793408168647
0.55127.6949960989350.959027340013769
0.56127.8618218199590.93094334339469
0.57128.0219530317860.884381506643609
0.58128.1726930475720.822229308803605
0.59128.3120545311030.749344204816668
0.6128.4390236718830.671446590672955
0.61128.5537221985890.595235161399372
0.62128.6574488350470.528012043339493
0.63128.7525951465240.476320465998986
0.64128.8424430325880.445977560229216
0.65128.9308614260640.441107183025017
0.66129.0219281474240.461743946300857
0.67129.1195100668080.504708737544701
0.68129.2268413100450.563652418689434
0.69129.3461448319090.63092449612422
0.7129.4783455916610.698360073796032
0.71129.6229212089080.758249845564336
0.72129.7779259505130.803264189066562
0.73129.9402054462180.828046399826715
0.74130.105794678480.829485209883057
0.75130.2704654693560.807511056104827
0.76130.4303684116580.765068156808768
0.77130.5827034648930.70796074956099
0.78130.7263546725510.644989854485847
0.79130.8624328416150.586622885273155
0.8130.9946749402460.545943986333914
0.81131.1296382553780.53752289180874
0.82131.2765954437350.574969316631785
0.83131.4469943269320.666279057169683
0.84131.6533270107220.810473050800801
0.85131.9073075467930.997262052393579
0.86132.2174314627571.2070145801499
0.87132.5862849563931.41106484812979
0.88133.0083032607771.57449364287087
0.89133.4688725853761.66318793130126
0.9133.9455229576171.65264847930842
0.91134.4113655994831.53680843962279
0.92134.8400307347641.33181959096361
0.93135.2105915636831.07207795984015
0.94135.5108562299790.799117573328386
0.95135.7382140084480.548746403269601
0.96135.898480246220.342730713893322
0.97136.0037772903440.189986260829351
0.98136.0695465483260.0940188406493728
0.99136.1095180613150.0576978139166149


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')