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 computationTue, 14 Mar 2017 19:46:33 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/14/t1489520805dkobym2r9xp5lo7.htm/, Retrieved Tue, 14 May 2024 01:31:33 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 01:31:33 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93.43
93.59
95.28
94.95
94.49
94.45
94.35
95.52
96.89
97.54
97.65
97.35
98.2
99.46
100.35
99.72
99.69
99.62
99.77
100.19
100.82
100.36
101.08
100.73
101.51
102.12
102.88
103.47
103.53
103.67
103.68
103.76
103.67
103.01
103.39
103.43
103.4
104.8
105.53
107.45
108.73
109.04
108.75
108.75
108.76
108.41
110.15
109.93
110.6
112.17
113.47
113.35
114.12
115
114.01
113.86
113.83
112.7
111.79
113.77

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0193.5095479258350.258671689198671
0.0293.65558571186230.385603066294652
0.0393.84395752262850.460053705179495
0.0494.04776077541780.478606745643912
0.0594.25007040986940.483129013309949
0.0694.44675612987020.51524442382586
0.0794.64284568752820.589362978199831
0.0894.84689254351880.695761067859575
0.0995.06643027076680.817551892382533
0.195.30562415006580.939365829191692
0.1195.56484776803821.04899065065826
0.1295.84140757187841.13828894461619
0.1396.13070806359091.20330048955496
0.1496.42740381400611.24406700486823
0.1596.72630514025781.26371477300865
0.1697.02294688022621.26678233668655
0.1797.31382100551631.25800698881679
0.1897.59633897741221.24068562925339
0.1997.86863195103661.21592350775395
0.298.1293086363031.18370248604546
0.2198.37726939012251.14326932505947
0.2298.61163016689771.09455119423947
0.2398.83175864110611.03865611127191
0.2499.03738446713640.978164282362684
0.2599.2287266871950.916760624039477
0.2699.40658474010770.858911313721281
0.2799.57235874740280.808991987654926
0.2899.72798973843220.770748879402223
0.2999.87583209415620.746762825259271
0.3100.0184832672220.73819591973549
0.31100.1585986737990.744898303830212
0.32100.2987148702910.765432437136657
0.33100.4410956859390.797558744661418
0.34100.5876077172050.83864755718879
0.35100.7396260279820.885436265316052
0.36100.8979688416050.934529251658528
0.37101.0628607770260.982277699071245
0.38101.2339262467631.02531292850235
0.39101.4102163444061.0600543619542
0.4101.5902726945071.08355389462568
0.41101.7722298522491.09367470634967
0.42101.9539542219561.08908663764654
0.43102.133212966631.06962746029813
0.44102.3078620913351.03621495631023
0.45102.4760397813710.990867238791073
0.46102.6363497752260.937108891245213
0.47102.7880201723920.878785962647551
0.48102.9310252679540.821091776027628
0.49103.0661611036420.769285622208198
0.5103.1950686805350.729373630285215
0.51103.3202016057270.707279887503978
0.52103.4447371087330.708401206418109
0.53103.5724310544230.736842034735592
0.54103.7074193513270.79414501903952
0.55103.8539707272430.879785343711002
0.56104.0161998222510.990588034667468
0.57104.1977551243231.12177337416594
0.58104.4015030033951.26679225154285
0.59104.6292358435821.41796498946217
0.6104.8814373232681.56651034363095
0.61105.1571393187791.70316635278891
0.62105.4539010462811.81890690151583
0.63105.7679310424721.90618217173654
0.64106.0943567789271.95911394804218
0.65106.4276268855121.97469441588014
0.66106.7620101731391.95297020565811
0.67107.0921377092711.89744304076761
0.68107.4135229073781.81467257780881
0.69107.7229928281131.71368500241667
0.7108.0189728464451.60506320882701
0.71108.3015855746071.50006815560155
0.72108.5725504314131.40887693855214
0.73108.8348980160431.33982486171412
0.74109.0925384945141.29763093492393
0.75109.3497412187811.28303526533412
0.76109.6105910951811.29247469430639
0.77109.8784852921811.31960123146649
0.78110.1557233068681.35598128979756
0.79110.4432272292271.39293933196277
0.8110.7404107933621.42215183178406
0.81111.0451986054621.43643690862496
0.82111.3541828849011.43029615103393
0.83111.6628950739241.40007345022249
0.84111.9661637730241.34433756052726
0.85112.2585281550741.26378665911563
0.86112.5346766374361.16108870711899
0.87112.7898833927011.04064878666425
0.88113.0204194429360.908351327819504
0.89113.2239204041140.770871430900103
0.9113.3997022089610.635460778032471
0.91113.549039322040.509261808274885
0.92113.6754750524940.399101389376689
0.93113.7853251476750.311141847628114
0.94113.8885766213940.25203690487067
0.95114.0000497133540.231182931815612
0.96114.1393837615870.263438339841924
0.97114.3259268808690.362639803389775
0.98114.5633134740590.526381671857939
0.99114.8156781169060.718830952531485

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.509547925835 & 0.258671689198671 \tabularnewline
0.02 & 93.6555857118623 & 0.385603066294652 \tabularnewline
0.03 & 93.8439575226285 & 0.460053705179495 \tabularnewline
0.04 & 94.0477607754178 & 0.478606745643912 \tabularnewline
0.05 & 94.2500704098694 & 0.483129013309949 \tabularnewline
0.06 & 94.4467561298702 & 0.51524442382586 \tabularnewline
0.07 & 94.6428456875282 & 0.589362978199831 \tabularnewline
0.08 & 94.8468925435188 & 0.695761067859575 \tabularnewline
0.09 & 95.0664302707668 & 0.817551892382533 \tabularnewline
0.1 & 95.3056241500658 & 0.939365829191692 \tabularnewline
0.11 & 95.5648477680382 & 1.04899065065826 \tabularnewline
0.12 & 95.8414075718784 & 1.13828894461619 \tabularnewline
0.13 & 96.1307080635909 & 1.20330048955496 \tabularnewline
0.14 & 96.4274038140061 & 1.24406700486823 \tabularnewline
0.15 & 96.7263051402578 & 1.26371477300865 \tabularnewline
0.16 & 97.0229468802262 & 1.26678233668655 \tabularnewline
0.17 & 97.3138210055163 & 1.25800698881679 \tabularnewline
0.18 & 97.5963389774122 & 1.24068562925339 \tabularnewline
0.19 & 97.8686319510366 & 1.21592350775395 \tabularnewline
0.2 & 98.129308636303 & 1.18370248604546 \tabularnewline
0.21 & 98.3772693901225 & 1.14326932505947 \tabularnewline
0.22 & 98.6116301668977 & 1.09455119423947 \tabularnewline
0.23 & 98.8317586411061 & 1.03865611127191 \tabularnewline
0.24 & 99.0373844671364 & 0.978164282362684 \tabularnewline
0.25 & 99.228726687195 & 0.916760624039477 \tabularnewline
0.26 & 99.4065847401077 & 0.858911313721281 \tabularnewline
0.27 & 99.5723587474028 & 0.808991987654926 \tabularnewline
0.28 & 99.7279897384322 & 0.770748879402223 \tabularnewline
0.29 & 99.8758320941562 & 0.746762825259271 \tabularnewline
0.3 & 100.018483267222 & 0.73819591973549 \tabularnewline
0.31 & 100.158598673799 & 0.744898303830212 \tabularnewline
0.32 & 100.298714870291 & 0.765432437136657 \tabularnewline
0.33 & 100.441095685939 & 0.797558744661418 \tabularnewline
0.34 & 100.587607717205 & 0.83864755718879 \tabularnewline
0.35 & 100.739626027982 & 0.885436265316052 \tabularnewline
0.36 & 100.897968841605 & 0.934529251658528 \tabularnewline
0.37 & 101.062860777026 & 0.982277699071245 \tabularnewline
0.38 & 101.233926246763 & 1.02531292850235 \tabularnewline
0.39 & 101.410216344406 & 1.0600543619542 \tabularnewline
0.4 & 101.590272694507 & 1.08355389462568 \tabularnewline
0.41 & 101.772229852249 & 1.09367470634967 \tabularnewline
0.42 & 101.953954221956 & 1.08908663764654 \tabularnewline
0.43 & 102.13321296663 & 1.06962746029813 \tabularnewline
0.44 & 102.307862091335 & 1.03621495631023 \tabularnewline
0.45 & 102.476039781371 & 0.990867238791073 \tabularnewline
0.46 & 102.636349775226 & 0.937108891245213 \tabularnewline
0.47 & 102.788020172392 & 0.878785962647551 \tabularnewline
0.48 & 102.931025267954 & 0.821091776027628 \tabularnewline
0.49 & 103.066161103642 & 0.769285622208198 \tabularnewline
0.5 & 103.195068680535 & 0.729373630285215 \tabularnewline
0.51 & 103.320201605727 & 0.707279887503978 \tabularnewline
0.52 & 103.444737108733 & 0.708401206418109 \tabularnewline
0.53 & 103.572431054423 & 0.736842034735592 \tabularnewline
0.54 & 103.707419351327 & 0.79414501903952 \tabularnewline
0.55 & 103.853970727243 & 0.879785343711002 \tabularnewline
0.56 & 104.016199822251 & 0.990588034667468 \tabularnewline
0.57 & 104.197755124323 & 1.12177337416594 \tabularnewline
0.58 & 104.401503003395 & 1.26679225154285 \tabularnewline
0.59 & 104.629235843582 & 1.41796498946217 \tabularnewline
0.6 & 104.881437323268 & 1.56651034363095 \tabularnewline
0.61 & 105.157139318779 & 1.70316635278891 \tabularnewline
0.62 & 105.453901046281 & 1.81890690151583 \tabularnewline
0.63 & 105.767931042472 & 1.90618217173654 \tabularnewline
0.64 & 106.094356778927 & 1.95911394804218 \tabularnewline
0.65 & 106.427626885512 & 1.97469441588014 \tabularnewline
0.66 & 106.762010173139 & 1.95297020565811 \tabularnewline
0.67 & 107.092137709271 & 1.89744304076761 \tabularnewline
0.68 & 107.413522907378 & 1.81467257780881 \tabularnewline
0.69 & 107.722992828113 & 1.71368500241667 \tabularnewline
0.7 & 108.018972846445 & 1.60506320882701 \tabularnewline
0.71 & 108.301585574607 & 1.50006815560155 \tabularnewline
0.72 & 108.572550431413 & 1.40887693855214 \tabularnewline
0.73 & 108.834898016043 & 1.33982486171412 \tabularnewline
0.74 & 109.092538494514 & 1.29763093492393 \tabularnewline
0.75 & 109.349741218781 & 1.28303526533412 \tabularnewline
0.76 & 109.610591095181 & 1.29247469430639 \tabularnewline
0.77 & 109.878485292181 & 1.31960123146649 \tabularnewline
0.78 & 110.155723306868 & 1.35598128979756 \tabularnewline
0.79 & 110.443227229227 & 1.39293933196277 \tabularnewline
0.8 & 110.740410793362 & 1.42215183178406 \tabularnewline
0.81 & 111.045198605462 & 1.43643690862496 \tabularnewline
0.82 & 111.354182884901 & 1.43029615103393 \tabularnewline
0.83 & 111.662895073924 & 1.40007345022249 \tabularnewline
0.84 & 111.966163773024 & 1.34433756052726 \tabularnewline
0.85 & 112.258528155074 & 1.26378665911563 \tabularnewline
0.86 & 112.534676637436 & 1.16108870711899 \tabularnewline
0.87 & 112.789883392701 & 1.04064878666425 \tabularnewline
0.88 & 113.020419442936 & 0.908351327819504 \tabularnewline
0.89 & 113.223920404114 & 0.770871430900103 \tabularnewline
0.9 & 113.399702208961 & 0.635460778032471 \tabularnewline
0.91 & 113.54903932204 & 0.509261808274885 \tabularnewline
0.92 & 113.675475052494 & 0.399101389376689 \tabularnewline
0.93 & 113.785325147675 & 0.311141847628114 \tabularnewline
0.94 & 113.888576621394 & 0.25203690487067 \tabularnewline
0.95 & 114.000049713354 & 0.231182931815612 \tabularnewline
0.96 & 114.139383761587 & 0.263438339841924 \tabularnewline
0.97 & 114.325926880869 & 0.362639803389775 \tabularnewline
0.98 & 114.563313474059 & 0.526381671857939 \tabularnewline
0.99 & 114.815678116906 & 0.718830952531485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]93.509547925835[/C][C]0.258671689198671[/C][/ROW]
[ROW][C]0.02[/C][C]93.6555857118623[/C][C]0.385603066294652[/C][/ROW]
[ROW][C]0.03[/C][C]93.8439575226285[/C][C]0.460053705179495[/C][/ROW]
[ROW][C]0.04[/C][C]94.0477607754178[/C][C]0.478606745643912[/C][/ROW]
[ROW][C]0.05[/C][C]94.2500704098694[/C][C]0.483129013309949[/C][/ROW]
[ROW][C]0.06[/C][C]94.4467561298702[/C][C]0.51524442382586[/C][/ROW]
[ROW][C]0.07[/C][C]94.6428456875282[/C][C]0.589362978199831[/C][/ROW]
[ROW][C]0.08[/C][C]94.8468925435188[/C][C]0.695761067859575[/C][/ROW]
[ROW][C]0.09[/C][C]95.0664302707668[/C][C]0.817551892382533[/C][/ROW]
[ROW][C]0.1[/C][C]95.3056241500658[/C][C]0.939365829191692[/C][/ROW]
[ROW][C]0.11[/C][C]95.5648477680382[/C][C]1.04899065065826[/C][/ROW]
[ROW][C]0.12[/C][C]95.8414075718784[/C][C]1.13828894461619[/C][/ROW]
[ROW][C]0.13[/C][C]96.1307080635909[/C][C]1.20330048955496[/C][/ROW]
[ROW][C]0.14[/C][C]96.4274038140061[/C][C]1.24406700486823[/C][/ROW]
[ROW][C]0.15[/C][C]96.7263051402578[/C][C]1.26371477300865[/C][/ROW]
[ROW][C]0.16[/C][C]97.0229468802262[/C][C]1.26678233668655[/C][/ROW]
[ROW][C]0.17[/C][C]97.3138210055163[/C][C]1.25800698881679[/C][/ROW]
[ROW][C]0.18[/C][C]97.5963389774122[/C][C]1.24068562925339[/C][/ROW]
[ROW][C]0.19[/C][C]97.8686319510366[/C][C]1.21592350775395[/C][/ROW]
[ROW][C]0.2[/C][C]98.129308636303[/C][C]1.18370248604546[/C][/ROW]
[ROW][C]0.21[/C][C]98.3772693901225[/C][C]1.14326932505947[/C][/ROW]
[ROW][C]0.22[/C][C]98.6116301668977[/C][C]1.09455119423947[/C][/ROW]
[ROW][C]0.23[/C][C]98.8317586411061[/C][C]1.03865611127191[/C][/ROW]
[ROW][C]0.24[/C][C]99.0373844671364[/C][C]0.978164282362684[/C][/ROW]
[ROW][C]0.25[/C][C]99.228726687195[/C][C]0.916760624039477[/C][/ROW]
[ROW][C]0.26[/C][C]99.4065847401077[/C][C]0.858911313721281[/C][/ROW]
[ROW][C]0.27[/C][C]99.5723587474028[/C][C]0.808991987654926[/C][/ROW]
[ROW][C]0.28[/C][C]99.7279897384322[/C][C]0.770748879402223[/C][/ROW]
[ROW][C]0.29[/C][C]99.8758320941562[/C][C]0.746762825259271[/C][/ROW]
[ROW][C]0.3[/C][C]100.018483267222[/C][C]0.73819591973549[/C][/ROW]
[ROW][C]0.31[/C][C]100.158598673799[/C][C]0.744898303830212[/C][/ROW]
[ROW][C]0.32[/C][C]100.298714870291[/C][C]0.765432437136657[/C][/ROW]
[ROW][C]0.33[/C][C]100.441095685939[/C][C]0.797558744661418[/C][/ROW]
[ROW][C]0.34[/C][C]100.587607717205[/C][C]0.83864755718879[/C][/ROW]
[ROW][C]0.35[/C][C]100.739626027982[/C][C]0.885436265316052[/C][/ROW]
[ROW][C]0.36[/C][C]100.897968841605[/C][C]0.934529251658528[/C][/ROW]
[ROW][C]0.37[/C][C]101.062860777026[/C][C]0.982277699071245[/C][/ROW]
[ROW][C]0.38[/C][C]101.233926246763[/C][C]1.02531292850235[/C][/ROW]
[ROW][C]0.39[/C][C]101.410216344406[/C][C]1.0600543619542[/C][/ROW]
[ROW][C]0.4[/C][C]101.590272694507[/C][C]1.08355389462568[/C][/ROW]
[ROW][C]0.41[/C][C]101.772229852249[/C][C]1.09367470634967[/C][/ROW]
[ROW][C]0.42[/C][C]101.953954221956[/C][C]1.08908663764654[/C][/ROW]
[ROW][C]0.43[/C][C]102.13321296663[/C][C]1.06962746029813[/C][/ROW]
[ROW][C]0.44[/C][C]102.307862091335[/C][C]1.03621495631023[/C][/ROW]
[ROW][C]0.45[/C][C]102.476039781371[/C][C]0.990867238791073[/C][/ROW]
[ROW][C]0.46[/C][C]102.636349775226[/C][C]0.937108891245213[/C][/ROW]
[ROW][C]0.47[/C][C]102.788020172392[/C][C]0.878785962647551[/C][/ROW]
[ROW][C]0.48[/C][C]102.931025267954[/C][C]0.821091776027628[/C][/ROW]
[ROW][C]0.49[/C][C]103.066161103642[/C][C]0.769285622208198[/C][/ROW]
[ROW][C]0.5[/C][C]103.195068680535[/C][C]0.729373630285215[/C][/ROW]
[ROW][C]0.51[/C][C]103.320201605727[/C][C]0.707279887503978[/C][/ROW]
[ROW][C]0.52[/C][C]103.444737108733[/C][C]0.708401206418109[/C][/ROW]
[ROW][C]0.53[/C][C]103.572431054423[/C][C]0.736842034735592[/C][/ROW]
[ROW][C]0.54[/C][C]103.707419351327[/C][C]0.79414501903952[/C][/ROW]
[ROW][C]0.55[/C][C]103.853970727243[/C][C]0.879785343711002[/C][/ROW]
[ROW][C]0.56[/C][C]104.016199822251[/C][C]0.990588034667468[/C][/ROW]
[ROW][C]0.57[/C][C]104.197755124323[/C][C]1.12177337416594[/C][/ROW]
[ROW][C]0.58[/C][C]104.401503003395[/C][C]1.26679225154285[/C][/ROW]
[ROW][C]0.59[/C][C]104.629235843582[/C][C]1.41796498946217[/C][/ROW]
[ROW][C]0.6[/C][C]104.881437323268[/C][C]1.56651034363095[/C][/ROW]
[ROW][C]0.61[/C][C]105.157139318779[/C][C]1.70316635278891[/C][/ROW]
[ROW][C]0.62[/C][C]105.453901046281[/C][C]1.81890690151583[/C][/ROW]
[ROW][C]0.63[/C][C]105.767931042472[/C][C]1.90618217173654[/C][/ROW]
[ROW][C]0.64[/C][C]106.094356778927[/C][C]1.95911394804218[/C][/ROW]
[ROW][C]0.65[/C][C]106.427626885512[/C][C]1.97469441588014[/C][/ROW]
[ROW][C]0.66[/C][C]106.762010173139[/C][C]1.95297020565811[/C][/ROW]
[ROW][C]0.67[/C][C]107.092137709271[/C][C]1.89744304076761[/C][/ROW]
[ROW][C]0.68[/C][C]107.413522907378[/C][C]1.81467257780881[/C][/ROW]
[ROW][C]0.69[/C][C]107.722992828113[/C][C]1.71368500241667[/C][/ROW]
[ROW][C]0.7[/C][C]108.018972846445[/C][C]1.60506320882701[/C][/ROW]
[ROW][C]0.71[/C][C]108.301585574607[/C][C]1.50006815560155[/C][/ROW]
[ROW][C]0.72[/C][C]108.572550431413[/C][C]1.40887693855214[/C][/ROW]
[ROW][C]0.73[/C][C]108.834898016043[/C][C]1.33982486171412[/C][/ROW]
[ROW][C]0.74[/C][C]109.092538494514[/C][C]1.29763093492393[/C][/ROW]
[ROW][C]0.75[/C][C]109.349741218781[/C][C]1.28303526533412[/C][/ROW]
[ROW][C]0.76[/C][C]109.610591095181[/C][C]1.29247469430639[/C][/ROW]
[ROW][C]0.77[/C][C]109.878485292181[/C][C]1.31960123146649[/C][/ROW]
[ROW][C]0.78[/C][C]110.155723306868[/C][C]1.35598128979756[/C][/ROW]
[ROW][C]0.79[/C][C]110.443227229227[/C][C]1.39293933196277[/C][/ROW]
[ROW][C]0.8[/C][C]110.740410793362[/C][C]1.42215183178406[/C][/ROW]
[ROW][C]0.81[/C][C]111.045198605462[/C][C]1.43643690862496[/C][/ROW]
[ROW][C]0.82[/C][C]111.354182884901[/C][C]1.43029615103393[/C][/ROW]
[ROW][C]0.83[/C][C]111.662895073924[/C][C]1.40007345022249[/C][/ROW]
[ROW][C]0.84[/C][C]111.966163773024[/C][C]1.34433756052726[/C][/ROW]
[ROW][C]0.85[/C][C]112.258528155074[/C][C]1.26378665911563[/C][/ROW]
[ROW][C]0.86[/C][C]112.534676637436[/C][C]1.16108870711899[/C][/ROW]
[ROW][C]0.87[/C][C]112.789883392701[/C][C]1.04064878666425[/C][/ROW]
[ROW][C]0.88[/C][C]113.020419442936[/C][C]0.908351327819504[/C][/ROW]
[ROW][C]0.89[/C][C]113.223920404114[/C][C]0.770871430900103[/C][/ROW]
[ROW][C]0.9[/C][C]113.399702208961[/C][C]0.635460778032471[/C][/ROW]
[ROW][C]0.91[/C][C]113.54903932204[/C][C]0.509261808274885[/C][/ROW]
[ROW][C]0.92[/C][C]113.675475052494[/C][C]0.399101389376689[/C][/ROW]
[ROW][C]0.93[/C][C]113.785325147675[/C][C]0.311141847628114[/C][/ROW]
[ROW][C]0.94[/C][C]113.888576621394[/C][C]0.25203690487067[/C][/ROW]
[ROW][C]0.95[/C][C]114.000049713354[/C][C]0.231182931815612[/C][/ROW]
[ROW][C]0.96[/C][C]114.139383761587[/C][C]0.263438339841924[/C][/ROW]
[ROW][C]0.97[/C][C]114.325926880869[/C][C]0.362639803389775[/C][/ROW]
[ROW][C]0.98[/C][C]114.563313474059[/C][C]0.526381671857939[/C][/ROW]
[ROW][C]0.99[/C][C]114.815678116906[/C][C]0.718830952531485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0193.5095479258350.258671689198671
0.0293.65558571186230.385603066294652
0.0393.84395752262850.460053705179495
0.0494.04776077541780.478606745643912
0.0594.25007040986940.483129013309949
0.0694.44675612987020.51524442382586
0.0794.64284568752820.589362978199831
0.0894.84689254351880.695761067859575
0.0995.06643027076680.817551892382533
0.195.30562415006580.939365829191692
0.1195.56484776803821.04899065065826
0.1295.84140757187841.13828894461619
0.1396.13070806359091.20330048955496
0.1496.42740381400611.24406700486823
0.1596.72630514025781.26371477300865
0.1697.02294688022621.26678233668655
0.1797.31382100551631.25800698881679
0.1897.59633897741221.24068562925339
0.1997.86863195103661.21592350775395
0.298.1293086363031.18370248604546
0.2198.37726939012251.14326932505947
0.2298.61163016689771.09455119423947
0.2398.83175864110611.03865611127191
0.2499.03738446713640.978164282362684
0.2599.2287266871950.916760624039477
0.2699.40658474010770.858911313721281
0.2799.57235874740280.808991987654926
0.2899.72798973843220.770748879402223
0.2999.87583209415620.746762825259271
0.3100.0184832672220.73819591973549
0.31100.1585986737990.744898303830212
0.32100.2987148702910.765432437136657
0.33100.4410956859390.797558744661418
0.34100.5876077172050.83864755718879
0.35100.7396260279820.885436265316052
0.36100.8979688416050.934529251658528
0.37101.0628607770260.982277699071245
0.38101.2339262467631.02531292850235
0.39101.4102163444061.0600543619542
0.4101.5902726945071.08355389462568
0.41101.7722298522491.09367470634967
0.42101.9539542219561.08908663764654
0.43102.133212966631.06962746029813
0.44102.3078620913351.03621495631023
0.45102.4760397813710.990867238791073
0.46102.6363497752260.937108891245213
0.47102.7880201723920.878785962647551
0.48102.9310252679540.821091776027628
0.49103.0661611036420.769285622208198
0.5103.1950686805350.729373630285215
0.51103.3202016057270.707279887503978
0.52103.4447371087330.708401206418109
0.53103.5724310544230.736842034735592
0.54103.7074193513270.79414501903952
0.55103.8539707272430.879785343711002
0.56104.0161998222510.990588034667468
0.57104.1977551243231.12177337416594
0.58104.4015030033951.26679225154285
0.59104.6292358435821.41796498946217
0.6104.8814373232681.56651034363095
0.61105.1571393187791.70316635278891
0.62105.4539010462811.81890690151583
0.63105.7679310424721.90618217173654
0.64106.0943567789271.95911394804218
0.65106.4276268855121.97469441588014
0.66106.7620101731391.95297020565811
0.67107.0921377092711.89744304076761
0.68107.4135229073781.81467257780881
0.69107.7229928281131.71368500241667
0.7108.0189728464451.60506320882701
0.71108.3015855746071.50006815560155
0.72108.5725504314131.40887693855214
0.73108.8348980160431.33982486171412
0.74109.0925384945141.29763093492393
0.75109.3497412187811.28303526533412
0.76109.6105910951811.29247469430639
0.77109.8784852921811.31960123146649
0.78110.1557233068681.35598128979756
0.79110.4432272292271.39293933196277
0.8110.7404107933621.42215183178406
0.81111.0451986054621.43643690862496
0.82111.3541828849011.43029615103393
0.83111.6628950739241.40007345022249
0.84111.9661637730241.34433756052726
0.85112.2585281550741.26378665911563
0.86112.5346766374361.16108870711899
0.87112.7898833927011.04064878666425
0.88113.0204194429360.908351327819504
0.89113.2239204041140.770871430900103
0.9113.3997022089610.635460778032471
0.91113.549039322040.509261808274885
0.92113.6754750524940.399101389376689
0.93113.7853251476750.311141847628114
0.94113.8885766213940.25203690487067
0.95114.0000497133540.231182931815612
0.96114.1393837615870.263438339841924
0.97114.3259268808690.362639803389775
0.98114.5633134740590.526381671857939
0.99114.8156781169060.718830952531485


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')