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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 01 Mar 2016 10:30:35 +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/2016/Mar/01/t1456828335gk1ykh3jydicm26.htm/, Retrieved Tue, 07 May 2024 06:09:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293110, Retrieved Tue, 07 May 2024 06:09:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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] [Moerman Nicolaï] [2016-03-01 10:30:35] [ab100cc47aff291ae023e643a55282f8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96.4
96.9
98.1
99.2
100
100.3
100.3
100.8
101.3
101.4
101.9
103.4
105.6
107.5
109
110.5
109.8
109.6
109.6
108.8
109.4
109.1
109
109.2
110.5
112.2
113.2
113.6
113.2
112.2
112.2
113.2
113.8
113.8
113.7
113.9
114
114.3
114.3
112.8
112.3
112.2
112.6
111.9
111.7
111
110.8
111.1
110.5
110.5
109.8
109
109
109.4
108.8
108.4
108.3
108.2
106.8
103.6

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293110&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293110&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.59490521352580.646194100201078
0.0296.94710489820830.898526789541712
0.0397.40416733030311.11306537884342
0.0497.90682459186211.21939311987207
0.0598.40720928953411.22083149523712
0.0698.87402383707931.15332517073298
0.0799.29214908715321.05793360299875
0.0899.65975962721050.970236728973858
0.0999.98434118252260.916654771516905
0.1100.2786614037810.912844315512685
0.11100.5574180351950.962761792608633
0.12100.8348589250041.06185400293375
0.13101.1233254424571.20116615628459
0.14101.4324945424851.37030671400469
0.15101.769062498471.55813458523963
0.16102.136670380681.75251046930409
0.17102.5359624183091.94069787843824
0.18102.9647495064582.10989183533342
0.19103.418295916392.24796863967967
0.2103.8897529039982.34543376803982
0.21104.3707392669672.39534275888888
0.22104.8520337712732.39479881137912
0.23105.3243142286242.34462572909528
0.24105.7788631664262.24929591233542
0.25106.2081635141972.11621939978001
0.26106.6063266977621.95443688111605
0.27106.9693237595991.77433396649126
0.28107.295020432621.58575900637934
0.29107.5830432186811.39758216415038
0.3107.8345212412091.21719485164795
0.31108.0517562165021.05010124409079
0.32108.2378709128190.899881562396114
0.33108.3964772689690.768565516911711
0.34108.5313921538790.65667492201929
0.35108.6464148340740.563853079806323
0.36108.7451681942180.489258183132635
0.37108.8309971945190.431310974445475
0.38108.9069133965440.388679174782267
0.39108.975573176150.359648460768707
0.4109.0392784430.342380932355346
0.41109.0999911157540.335268250695431
0.42109.1593552436570.336402890612366
0.43109.218722863910.344163577106074
0.44109.2791811923160.356992270384775
0.45109.3415796449730.373600063915196
0.46109.4065557432070.392828336100217
0.47109.4745594386320.413866580271571
0.48109.5458759699320.435611185911225
0.49109.6206480096070.457532015386407
0.5109.6988983982210.478839988321365
0.51109.7805549364810.498981226294532
0.52109.8654782892470.51760460147714
0.53109.9534929756950.534447550587116
0.54110.0444198187670.549562517578669
0.55110.1381064667980.563213520480903
0.56110.234451191210.575912310357326
0.57110.3334146373310.588354700195378
0.58110.435014959450.600994047834027
0.59110.5393039372780.614311706048663
0.6110.6463250336910.628180099247225
0.61110.7560583532080.64221608579784
0.62110.8683612821150.65556338975673
0.63110.982916323460.666760789280581
0.64111.0991984737110.674259154232799
0.65111.2164729074090.676653721837944
0.66111.33382967060.672517040428741
0.67111.4502559785320.66139206639818
0.68111.5647395072250.643267845365875
0.69111.676389071820.619038525033164
0.7111.7845537648530.590383323817638
0.71111.8889193340780.55975851307466
0.72111.9895622411760.529777861452656
0.73112.0869476930870.503221408601685
0.74112.1818673270810.482334119268465
0.75112.2753235894810.468428147364217
0.76112.3683788577160.461595539401403
0.77112.4619953565510.46053336389712
0.78112.5568945368840.4630760543397
0.79112.653460476550.466506588588555
0.8112.7517013981560.468410244912772
0.81112.8512690116820.466823188076374
0.82112.9515213061070.46067795406168
0.83113.0516055993110.449476480355564
0.84113.1505390704020.433433955909683
0.85113.2472746593430.412888378761575
0.86113.340757892110.388163318951789
0.87113.429997611260.359553621502812
0.88113.5141815999720.327526642852518
0.89113.5928590052110.293055705808144
0.9113.6661819270.258203925642013
0.91113.7351499252580.226120908177504
0.92113.8017384208760.201005694892795
0.93113.8687267083780.187030111057364
0.94113.9390088102970.185859501361707
0.95114.0142571937850.193418675609841
0.96114.0931492813990.198131436762485
0.97114.1700160202910.183503866352153
0.98114.2354186937680.136864995197834
0.99114.2799010539390.0643687077038715

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.5949052135258 & 0.646194100201078 \tabularnewline
0.02 & 96.9471048982083 & 0.898526789541712 \tabularnewline
0.03 & 97.4041673303031 & 1.11306537884342 \tabularnewline
0.04 & 97.9068245918621 & 1.21939311987207 \tabularnewline
0.05 & 98.4072092895341 & 1.22083149523712 \tabularnewline
0.06 & 98.8740238370793 & 1.15332517073298 \tabularnewline
0.07 & 99.2921490871532 & 1.05793360299875 \tabularnewline
0.08 & 99.6597596272105 & 0.970236728973858 \tabularnewline
0.09 & 99.9843411825226 & 0.916654771516905 \tabularnewline
0.1 & 100.278661403781 & 0.912844315512685 \tabularnewline
0.11 & 100.557418035195 & 0.962761792608633 \tabularnewline
0.12 & 100.834858925004 & 1.06185400293375 \tabularnewline
0.13 & 101.123325442457 & 1.20116615628459 \tabularnewline
0.14 & 101.432494542485 & 1.37030671400469 \tabularnewline
0.15 & 101.76906249847 & 1.55813458523963 \tabularnewline
0.16 & 102.13667038068 & 1.75251046930409 \tabularnewline
0.17 & 102.535962418309 & 1.94069787843824 \tabularnewline
0.18 & 102.964749506458 & 2.10989183533342 \tabularnewline
0.19 & 103.41829591639 & 2.24796863967967 \tabularnewline
0.2 & 103.889752903998 & 2.34543376803982 \tabularnewline
0.21 & 104.370739266967 & 2.39534275888888 \tabularnewline
0.22 & 104.852033771273 & 2.39479881137912 \tabularnewline
0.23 & 105.324314228624 & 2.34462572909528 \tabularnewline
0.24 & 105.778863166426 & 2.24929591233542 \tabularnewline
0.25 & 106.208163514197 & 2.11621939978001 \tabularnewline
0.26 & 106.606326697762 & 1.95443688111605 \tabularnewline
0.27 & 106.969323759599 & 1.77433396649126 \tabularnewline
0.28 & 107.29502043262 & 1.58575900637934 \tabularnewline
0.29 & 107.583043218681 & 1.39758216415038 \tabularnewline
0.3 & 107.834521241209 & 1.21719485164795 \tabularnewline
0.31 & 108.051756216502 & 1.05010124409079 \tabularnewline
0.32 & 108.237870912819 & 0.899881562396114 \tabularnewline
0.33 & 108.396477268969 & 0.768565516911711 \tabularnewline
0.34 & 108.531392153879 & 0.65667492201929 \tabularnewline
0.35 & 108.646414834074 & 0.563853079806323 \tabularnewline
0.36 & 108.745168194218 & 0.489258183132635 \tabularnewline
0.37 & 108.830997194519 & 0.431310974445475 \tabularnewline
0.38 & 108.906913396544 & 0.388679174782267 \tabularnewline
0.39 & 108.97557317615 & 0.359648460768707 \tabularnewline
0.4 & 109.039278443 & 0.342380932355346 \tabularnewline
0.41 & 109.099991115754 & 0.335268250695431 \tabularnewline
0.42 & 109.159355243657 & 0.336402890612366 \tabularnewline
0.43 & 109.21872286391 & 0.344163577106074 \tabularnewline
0.44 & 109.279181192316 & 0.356992270384775 \tabularnewline
0.45 & 109.341579644973 & 0.373600063915196 \tabularnewline
0.46 & 109.406555743207 & 0.392828336100217 \tabularnewline
0.47 & 109.474559438632 & 0.413866580271571 \tabularnewline
0.48 & 109.545875969932 & 0.435611185911225 \tabularnewline
0.49 & 109.620648009607 & 0.457532015386407 \tabularnewline
0.5 & 109.698898398221 & 0.478839988321365 \tabularnewline
0.51 & 109.780554936481 & 0.498981226294532 \tabularnewline
0.52 & 109.865478289247 & 0.51760460147714 \tabularnewline
0.53 & 109.953492975695 & 0.534447550587116 \tabularnewline
0.54 & 110.044419818767 & 0.549562517578669 \tabularnewline
0.55 & 110.138106466798 & 0.563213520480903 \tabularnewline
0.56 & 110.23445119121 & 0.575912310357326 \tabularnewline
0.57 & 110.333414637331 & 0.588354700195378 \tabularnewline
0.58 & 110.43501495945 & 0.600994047834027 \tabularnewline
0.59 & 110.539303937278 & 0.614311706048663 \tabularnewline
0.6 & 110.646325033691 & 0.628180099247225 \tabularnewline
0.61 & 110.756058353208 & 0.64221608579784 \tabularnewline
0.62 & 110.868361282115 & 0.65556338975673 \tabularnewline
0.63 & 110.98291632346 & 0.666760789280581 \tabularnewline
0.64 & 111.099198473711 & 0.674259154232799 \tabularnewline
0.65 & 111.216472907409 & 0.676653721837944 \tabularnewline
0.66 & 111.3338296706 & 0.672517040428741 \tabularnewline
0.67 & 111.450255978532 & 0.66139206639818 \tabularnewline
0.68 & 111.564739507225 & 0.643267845365875 \tabularnewline
0.69 & 111.67638907182 & 0.619038525033164 \tabularnewline
0.7 & 111.784553764853 & 0.590383323817638 \tabularnewline
0.71 & 111.888919334078 & 0.55975851307466 \tabularnewline
0.72 & 111.989562241176 & 0.529777861452656 \tabularnewline
0.73 & 112.086947693087 & 0.503221408601685 \tabularnewline
0.74 & 112.181867327081 & 0.482334119268465 \tabularnewline
0.75 & 112.275323589481 & 0.468428147364217 \tabularnewline
0.76 & 112.368378857716 & 0.461595539401403 \tabularnewline
0.77 & 112.461995356551 & 0.46053336389712 \tabularnewline
0.78 & 112.556894536884 & 0.4630760543397 \tabularnewline
0.79 & 112.65346047655 & 0.466506588588555 \tabularnewline
0.8 & 112.751701398156 & 0.468410244912772 \tabularnewline
0.81 & 112.851269011682 & 0.466823188076374 \tabularnewline
0.82 & 112.951521306107 & 0.46067795406168 \tabularnewline
0.83 & 113.051605599311 & 0.449476480355564 \tabularnewline
0.84 & 113.150539070402 & 0.433433955909683 \tabularnewline
0.85 & 113.247274659343 & 0.412888378761575 \tabularnewline
0.86 & 113.34075789211 & 0.388163318951789 \tabularnewline
0.87 & 113.42999761126 & 0.359553621502812 \tabularnewline
0.88 & 113.514181599972 & 0.327526642852518 \tabularnewline
0.89 & 113.592859005211 & 0.293055705808144 \tabularnewline
0.9 & 113.666181927 & 0.258203925642013 \tabularnewline
0.91 & 113.735149925258 & 0.226120908177504 \tabularnewline
0.92 & 113.801738420876 & 0.201005694892795 \tabularnewline
0.93 & 113.868726708378 & 0.187030111057364 \tabularnewline
0.94 & 113.939008810297 & 0.185859501361707 \tabularnewline
0.95 & 114.014257193785 & 0.193418675609841 \tabularnewline
0.96 & 114.093149281399 & 0.198131436762485 \tabularnewline
0.97 & 114.170016020291 & 0.183503866352153 \tabularnewline
0.98 & 114.235418693768 & 0.136864995197834 \tabularnewline
0.99 & 114.279901053939 & 0.0643687077038715 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293110&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]96.5949052135258[/C][C]0.646194100201078[/C][/ROW]
[ROW][C]0.02[/C][C]96.9471048982083[/C][C]0.898526789541712[/C][/ROW]
[ROW][C]0.03[/C][C]97.4041673303031[/C][C]1.11306537884342[/C][/ROW]
[ROW][C]0.04[/C][C]97.9068245918621[/C][C]1.21939311987207[/C][/ROW]
[ROW][C]0.05[/C][C]98.4072092895341[/C][C]1.22083149523712[/C][/ROW]
[ROW][C]0.06[/C][C]98.8740238370793[/C][C]1.15332517073298[/C][/ROW]
[ROW][C]0.07[/C][C]99.2921490871532[/C][C]1.05793360299875[/C][/ROW]
[ROW][C]0.08[/C][C]99.6597596272105[/C][C]0.970236728973858[/C][/ROW]
[ROW][C]0.09[/C][C]99.9843411825226[/C][C]0.916654771516905[/C][/ROW]
[ROW][C]0.1[/C][C]100.278661403781[/C][C]0.912844315512685[/C][/ROW]
[ROW][C]0.11[/C][C]100.557418035195[/C][C]0.962761792608633[/C][/ROW]
[ROW][C]0.12[/C][C]100.834858925004[/C][C]1.06185400293375[/C][/ROW]
[ROW][C]0.13[/C][C]101.123325442457[/C][C]1.20116615628459[/C][/ROW]
[ROW][C]0.14[/C][C]101.432494542485[/C][C]1.37030671400469[/C][/ROW]
[ROW][C]0.15[/C][C]101.76906249847[/C][C]1.55813458523963[/C][/ROW]
[ROW][C]0.16[/C][C]102.13667038068[/C][C]1.75251046930409[/C][/ROW]
[ROW][C]0.17[/C][C]102.535962418309[/C][C]1.94069787843824[/C][/ROW]
[ROW][C]0.18[/C][C]102.964749506458[/C][C]2.10989183533342[/C][/ROW]
[ROW][C]0.19[/C][C]103.41829591639[/C][C]2.24796863967967[/C][/ROW]
[ROW][C]0.2[/C][C]103.889752903998[/C][C]2.34543376803982[/C][/ROW]
[ROW][C]0.21[/C][C]104.370739266967[/C][C]2.39534275888888[/C][/ROW]
[ROW][C]0.22[/C][C]104.852033771273[/C][C]2.39479881137912[/C][/ROW]
[ROW][C]0.23[/C][C]105.324314228624[/C][C]2.34462572909528[/C][/ROW]
[ROW][C]0.24[/C][C]105.778863166426[/C][C]2.24929591233542[/C][/ROW]
[ROW][C]0.25[/C][C]106.208163514197[/C][C]2.11621939978001[/C][/ROW]
[ROW][C]0.26[/C][C]106.606326697762[/C][C]1.95443688111605[/C][/ROW]
[ROW][C]0.27[/C][C]106.969323759599[/C][C]1.77433396649126[/C][/ROW]
[ROW][C]0.28[/C][C]107.29502043262[/C][C]1.58575900637934[/C][/ROW]
[ROW][C]0.29[/C][C]107.583043218681[/C][C]1.39758216415038[/C][/ROW]
[ROW][C]0.3[/C][C]107.834521241209[/C][C]1.21719485164795[/C][/ROW]
[ROW][C]0.31[/C][C]108.051756216502[/C][C]1.05010124409079[/C][/ROW]
[ROW][C]0.32[/C][C]108.237870912819[/C][C]0.899881562396114[/C][/ROW]
[ROW][C]0.33[/C][C]108.396477268969[/C][C]0.768565516911711[/C][/ROW]
[ROW][C]0.34[/C][C]108.531392153879[/C][C]0.65667492201929[/C][/ROW]
[ROW][C]0.35[/C][C]108.646414834074[/C][C]0.563853079806323[/C][/ROW]
[ROW][C]0.36[/C][C]108.745168194218[/C][C]0.489258183132635[/C][/ROW]
[ROW][C]0.37[/C][C]108.830997194519[/C][C]0.431310974445475[/C][/ROW]
[ROW][C]0.38[/C][C]108.906913396544[/C][C]0.388679174782267[/C][/ROW]
[ROW][C]0.39[/C][C]108.97557317615[/C][C]0.359648460768707[/C][/ROW]
[ROW][C]0.4[/C][C]109.039278443[/C][C]0.342380932355346[/C][/ROW]
[ROW][C]0.41[/C][C]109.099991115754[/C][C]0.335268250695431[/C][/ROW]
[ROW][C]0.42[/C][C]109.159355243657[/C][C]0.336402890612366[/C][/ROW]
[ROW][C]0.43[/C][C]109.21872286391[/C][C]0.344163577106074[/C][/ROW]
[ROW][C]0.44[/C][C]109.279181192316[/C][C]0.356992270384775[/C][/ROW]
[ROW][C]0.45[/C][C]109.341579644973[/C][C]0.373600063915196[/C][/ROW]
[ROW][C]0.46[/C][C]109.406555743207[/C][C]0.392828336100217[/C][/ROW]
[ROW][C]0.47[/C][C]109.474559438632[/C][C]0.413866580271571[/C][/ROW]
[ROW][C]0.48[/C][C]109.545875969932[/C][C]0.435611185911225[/C][/ROW]
[ROW][C]0.49[/C][C]109.620648009607[/C][C]0.457532015386407[/C][/ROW]
[ROW][C]0.5[/C][C]109.698898398221[/C][C]0.478839988321365[/C][/ROW]
[ROW][C]0.51[/C][C]109.780554936481[/C][C]0.498981226294532[/C][/ROW]
[ROW][C]0.52[/C][C]109.865478289247[/C][C]0.51760460147714[/C][/ROW]
[ROW][C]0.53[/C][C]109.953492975695[/C][C]0.534447550587116[/C][/ROW]
[ROW][C]0.54[/C][C]110.044419818767[/C][C]0.549562517578669[/C][/ROW]
[ROW][C]0.55[/C][C]110.138106466798[/C][C]0.563213520480903[/C][/ROW]
[ROW][C]0.56[/C][C]110.23445119121[/C][C]0.575912310357326[/C][/ROW]
[ROW][C]0.57[/C][C]110.333414637331[/C][C]0.588354700195378[/C][/ROW]
[ROW][C]0.58[/C][C]110.43501495945[/C][C]0.600994047834027[/C][/ROW]
[ROW][C]0.59[/C][C]110.539303937278[/C][C]0.614311706048663[/C][/ROW]
[ROW][C]0.6[/C][C]110.646325033691[/C][C]0.628180099247225[/C][/ROW]
[ROW][C]0.61[/C][C]110.756058353208[/C][C]0.64221608579784[/C][/ROW]
[ROW][C]0.62[/C][C]110.868361282115[/C][C]0.65556338975673[/C][/ROW]
[ROW][C]0.63[/C][C]110.98291632346[/C][C]0.666760789280581[/C][/ROW]
[ROW][C]0.64[/C][C]111.099198473711[/C][C]0.674259154232799[/C][/ROW]
[ROW][C]0.65[/C][C]111.216472907409[/C][C]0.676653721837944[/C][/ROW]
[ROW][C]0.66[/C][C]111.3338296706[/C][C]0.672517040428741[/C][/ROW]
[ROW][C]0.67[/C][C]111.450255978532[/C][C]0.66139206639818[/C][/ROW]
[ROW][C]0.68[/C][C]111.564739507225[/C][C]0.643267845365875[/C][/ROW]
[ROW][C]0.69[/C][C]111.67638907182[/C][C]0.619038525033164[/C][/ROW]
[ROW][C]0.7[/C][C]111.784553764853[/C][C]0.590383323817638[/C][/ROW]
[ROW][C]0.71[/C][C]111.888919334078[/C][C]0.55975851307466[/C][/ROW]
[ROW][C]0.72[/C][C]111.989562241176[/C][C]0.529777861452656[/C][/ROW]
[ROW][C]0.73[/C][C]112.086947693087[/C][C]0.503221408601685[/C][/ROW]
[ROW][C]0.74[/C][C]112.181867327081[/C][C]0.482334119268465[/C][/ROW]
[ROW][C]0.75[/C][C]112.275323589481[/C][C]0.468428147364217[/C][/ROW]
[ROW][C]0.76[/C][C]112.368378857716[/C][C]0.461595539401403[/C][/ROW]
[ROW][C]0.77[/C][C]112.461995356551[/C][C]0.46053336389712[/C][/ROW]
[ROW][C]0.78[/C][C]112.556894536884[/C][C]0.4630760543397[/C][/ROW]
[ROW][C]0.79[/C][C]112.65346047655[/C][C]0.466506588588555[/C][/ROW]
[ROW][C]0.8[/C][C]112.751701398156[/C][C]0.468410244912772[/C][/ROW]
[ROW][C]0.81[/C][C]112.851269011682[/C][C]0.466823188076374[/C][/ROW]
[ROW][C]0.82[/C][C]112.951521306107[/C][C]0.46067795406168[/C][/ROW]
[ROW][C]0.83[/C][C]113.051605599311[/C][C]0.449476480355564[/C][/ROW]
[ROW][C]0.84[/C][C]113.150539070402[/C][C]0.433433955909683[/C][/ROW]
[ROW][C]0.85[/C][C]113.247274659343[/C][C]0.412888378761575[/C][/ROW]
[ROW][C]0.86[/C][C]113.34075789211[/C][C]0.388163318951789[/C][/ROW]
[ROW][C]0.87[/C][C]113.42999761126[/C][C]0.359553621502812[/C][/ROW]
[ROW][C]0.88[/C][C]113.514181599972[/C][C]0.327526642852518[/C][/ROW]
[ROW][C]0.89[/C][C]113.592859005211[/C][C]0.293055705808144[/C][/ROW]
[ROW][C]0.9[/C][C]113.666181927[/C][C]0.258203925642013[/C][/ROW]
[ROW][C]0.91[/C][C]113.735149925258[/C][C]0.226120908177504[/C][/ROW]
[ROW][C]0.92[/C][C]113.801738420876[/C][C]0.201005694892795[/C][/ROW]
[ROW][C]0.93[/C][C]113.868726708378[/C][C]0.187030111057364[/C][/ROW]
[ROW][C]0.94[/C][C]113.939008810297[/C][C]0.185859501361707[/C][/ROW]
[ROW][C]0.95[/C][C]114.014257193785[/C][C]0.193418675609841[/C][/ROW]
[ROW][C]0.96[/C][C]114.093149281399[/C][C]0.198131436762485[/C][/ROW]
[ROW][C]0.97[/C][C]114.170016020291[/C][C]0.183503866352153[/C][/ROW]
[ROW][C]0.98[/C][C]114.235418693768[/C][C]0.136864995197834[/C][/ROW]
[ROW][C]0.99[/C][C]114.279901053939[/C][C]0.0643687077038715[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293110&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
0.0196.59490521352580.646194100201078
0.0296.94710489820830.898526789541712
0.0397.40416733030311.11306537884342
0.0497.90682459186211.21939311987207
0.0598.40720928953411.22083149523712
0.0698.87402383707931.15332517073298
0.0799.29214908715321.05793360299875
0.0899.65975962721050.970236728973858
0.0999.98434118252260.916654771516905
0.1100.2786614037810.912844315512685
0.11100.5574180351950.962761792608633
0.12100.8348589250041.06185400293375
0.13101.1233254424571.20116615628459
0.14101.4324945424851.37030671400469
0.15101.769062498471.55813458523963
0.16102.136670380681.75251046930409
0.17102.5359624183091.94069787843824
0.18102.9647495064582.10989183533342
0.19103.418295916392.24796863967967
0.2103.8897529039982.34543376803982
0.21104.3707392669672.39534275888888
0.22104.8520337712732.39479881137912
0.23105.3243142286242.34462572909528
0.24105.7788631664262.24929591233542
0.25106.2081635141972.11621939978001
0.26106.6063266977621.95443688111605
0.27106.9693237595991.77433396649126
0.28107.295020432621.58575900637934
0.29107.5830432186811.39758216415038
0.3107.8345212412091.21719485164795
0.31108.0517562165021.05010124409079
0.32108.2378709128190.899881562396114
0.33108.3964772689690.768565516911711
0.34108.5313921538790.65667492201929
0.35108.6464148340740.563853079806323
0.36108.7451681942180.489258183132635
0.37108.8309971945190.431310974445475
0.38108.9069133965440.388679174782267
0.39108.975573176150.359648460768707
0.4109.0392784430.342380932355346
0.41109.0999911157540.335268250695431
0.42109.1593552436570.336402890612366
0.43109.218722863910.344163577106074
0.44109.2791811923160.356992270384775
0.45109.3415796449730.373600063915196
0.46109.4065557432070.392828336100217
0.47109.4745594386320.413866580271571
0.48109.5458759699320.435611185911225
0.49109.6206480096070.457532015386407
0.5109.6988983982210.478839988321365
0.51109.7805549364810.498981226294532
0.52109.8654782892470.51760460147714
0.53109.9534929756950.534447550587116
0.54110.0444198187670.549562517578669
0.55110.1381064667980.563213520480903
0.56110.234451191210.575912310357326
0.57110.3334146373310.588354700195378
0.58110.435014959450.600994047834027
0.59110.5393039372780.614311706048663
0.6110.6463250336910.628180099247225
0.61110.7560583532080.64221608579784
0.62110.8683612821150.65556338975673
0.63110.982916323460.666760789280581
0.64111.0991984737110.674259154232799
0.65111.2164729074090.676653721837944
0.66111.33382967060.672517040428741
0.67111.4502559785320.66139206639818
0.68111.5647395072250.643267845365875
0.69111.676389071820.619038525033164
0.7111.7845537648530.590383323817638
0.71111.8889193340780.55975851307466
0.72111.9895622411760.529777861452656
0.73112.0869476930870.503221408601685
0.74112.1818673270810.482334119268465
0.75112.2753235894810.468428147364217
0.76112.3683788577160.461595539401403
0.77112.4619953565510.46053336389712
0.78112.5568945368840.4630760543397
0.79112.653460476550.466506588588555
0.8112.7517013981560.468410244912772
0.81112.8512690116820.466823188076374
0.82112.9515213061070.46067795406168
0.83113.0516055993110.449476480355564
0.84113.1505390704020.433433955909683
0.85113.2472746593430.412888378761575
0.86113.340757892110.388163318951789
0.87113.429997611260.359553621502812
0.88113.5141815999720.327526642852518
0.89113.5928590052110.293055705808144
0.9113.6661819270.258203925642013
0.91113.7351499252580.226120908177504
0.92113.8017384208760.201005694892795
0.93113.8687267083780.187030111057364
0.94113.9390088102970.185859501361707
0.95114.0142571937850.193418675609841
0.96114.0931492813990.198131436762485
0.97114.1700160202910.183503866352153
0.98114.2354186937680.136864995197834
0.99114.2799010539390.0643687077038715


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')