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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 23 Mar 2010 16:32:08 +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/2010/Mar/23/t1269362271qszyygzrp6nn0lh.htm/, Retrieved Fri, 09 May 2025 11:08:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74572, Retrieved Fri, 09 May 2025 11:08:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact343

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] [aantal aardbeving...] [2010-03-10 09:41:14] [f0a5dc1b5eb71665e53a640391152a45]
- R       [Harrell-Davis Quantiles] [test (after main ...] [2010-03-23 16:32:08] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13
14
8
10
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26
32
27
18
32
36
24
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13
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41
31
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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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74572&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74572&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74572&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.502739277865830.897958689138382
0.027.169707326358960.738756518244979
0.037.712977414309950.617795219755496
0.048.137224598752410.686884670373113
0.058.53343588729430.869221179609573
0.068.953780689382681.02206849115856
0.079.401116000940451.10509456392270
0.089.859938254251661.15554843977908
0.0910.32001207449251.21705471238100
0.110.77973202954121.29167713622326
0.1111.23851443424501.34901282530707
0.1211.69053999239661.35962255111134
0.1312.12477073546981.31423023076438
0.1412.52921393116201.22393041296221
0.1512.89534512658481.11052881142336
0.1613.22016071995310.995606058718126
0.1713.50565255610270.893571122900444
0.1813.75684759888410.810005074542729
0.1913.97971080249350.743735601603843
0.214.17970929385270.690462063178571
0.2114.36124637873860.645966457286094
0.2214.52777987980870.608169919511419
0.2314.68228120680600.577796453237029
0.2414.82770526727290.557673077819596
0.2514.96725249354830.551057215943315
0.2615.10435190086210.559671006085814
0.2715.24242561807690.582800716363597
0.2815.3845693721310.617635076627095
0.2915.53328344347840.660540662540192
0.315.69033095964550.708207499614514
0.3115.85672487794270.757921789787507
0.3216.03279257498470.807499455809294
0.3316.21825859843910.854772428133626
0.3416.41231531249120.897442981331035
0.3516.61369216168070.933126747606246
0.3616.82075930320510.959946333633542
0.3717.03169585201620.977084244423678
0.3817.24472140196530.98523469949069
0.3917.45835034526960.98664121428787
0.417.67160308874740.984594059636528
0.4117.88410967514830.982696968345553
0.4218.09606920612650.983828558510181
0.4318.30807083238370.989366467927457
0.4418.52082211220280.998944258452925
0.4518.73485437678461.01053405794707
0.4618.95027649077291.02111760231792
0.4719.16663078099931.02739358367963
0.4819.38287622357461.02640961305711
0.4919.59749366548931.01617218482948
0.519.8086830334030.99589021741839
0.5120.01460677503770.966067538851831
0.5220.21362815986630.928330498746335
0.5320.40449738045560.885151762891595
0.5420.58645213462760.839368339918356
0.5520.75922109855550.793587725682062
0.5620.92294476431640.74982155280074
0.5721.07805198654560.70908617260431
0.5821.22514408654600.671622676882744
0.5921.36493484380960.637354296951861
0.621.49827281487620.60637403880361
0.6121.62623833034420.579723751766925
0.6221.75027377554840.559467643041567
0.6321.87228654037810.54848490164564
0.6421.99466866242080.54970562035658
0.6522.12020509635130.564939540757505
0.6622.25188246702580.594355433378195
0.6722.39264475404350.636347240750165
0.6822.54515626629850.688245546919343
0.6922.71161986642010.747025026326117
0.722.89366697321060.80977051831553
0.7123.09230221848750.873829306208117
0.7223.30786760572100.936521249228756
0.7323.539998206640.994915234429345
0.7423.78757014544471.04574753331975
0.7524.04867686507011.08561230048916
0.7624.32069312075451.11156545774714
0.7724.60048582047141.12178245160085
0.7824.88480729832171.11637394346348
0.7925.1708720783251.09789544672599
0.825.45708779616731.07169219636174
0.8125.74388935368091.04602174109699
0.8226.03459674739951.03196283992093
0.8326.33615067885271.04282381927223
0.8426.65946137561421.09256454969895
0.8527.01898391906451.19193983018173
0.8627.43114542767431.34263396856253
0.8727.91156695384481.53273519589993
0.8828.47168738421261.73717991150803
0.8929.11611824063141.92424276949926
0.929.84217902709292.06687321428974
0.9130.64194774719762.15319841579618
0.9231.50510688575232.1872912533422
0.9332.42001303227272.17446805636775
0.9433.37411683165822.10436629940433
0.9534.36315799057511.96817698169841
0.9635.42010247593781.83219173499072
0.9736.64627285762541.87511875090965
0.9838.16061938000062.09973724464573
0.9939.84297058050212.12499701440226

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.50273927786583 & 0.897958689138382 \tabularnewline
0.02 & 7.16970732635896 & 0.738756518244979 \tabularnewline
0.03 & 7.71297741430995 & 0.617795219755496 \tabularnewline
0.04 & 8.13722459875241 & 0.686884670373113 \tabularnewline
0.05 & 8.5334358872943 & 0.869221179609573 \tabularnewline
0.06 & 8.95378068938268 & 1.02206849115856 \tabularnewline
0.07 & 9.40111600094045 & 1.10509456392270 \tabularnewline
0.08 & 9.85993825425166 & 1.15554843977908 \tabularnewline
0.09 & 10.3200120744925 & 1.21705471238100 \tabularnewline
0.1 & 10.7797320295412 & 1.29167713622326 \tabularnewline
0.11 & 11.2385144342450 & 1.34901282530707 \tabularnewline
0.12 & 11.6905399923966 & 1.35962255111134 \tabularnewline
0.13 & 12.1247707354698 & 1.31423023076438 \tabularnewline
0.14 & 12.5292139311620 & 1.22393041296221 \tabularnewline
0.15 & 12.8953451265848 & 1.11052881142336 \tabularnewline
0.16 & 13.2201607199531 & 0.995606058718126 \tabularnewline
0.17 & 13.5056525561027 & 0.893571122900444 \tabularnewline
0.18 & 13.7568475988841 & 0.810005074542729 \tabularnewline
0.19 & 13.9797108024935 & 0.743735601603843 \tabularnewline
0.2 & 14.1797092938527 & 0.690462063178571 \tabularnewline
0.21 & 14.3612463787386 & 0.645966457286094 \tabularnewline
0.22 & 14.5277798798087 & 0.608169919511419 \tabularnewline
0.23 & 14.6822812068060 & 0.577796453237029 \tabularnewline
0.24 & 14.8277052672729 & 0.557673077819596 \tabularnewline
0.25 & 14.9672524935483 & 0.551057215943315 \tabularnewline
0.26 & 15.1043519008621 & 0.559671006085814 \tabularnewline
0.27 & 15.2424256180769 & 0.582800716363597 \tabularnewline
0.28 & 15.384569372131 & 0.617635076627095 \tabularnewline
0.29 & 15.5332834434784 & 0.660540662540192 \tabularnewline
0.3 & 15.6903309596455 & 0.708207499614514 \tabularnewline
0.31 & 15.8567248779427 & 0.757921789787507 \tabularnewline
0.32 & 16.0327925749847 & 0.807499455809294 \tabularnewline
0.33 & 16.2182585984391 & 0.854772428133626 \tabularnewline
0.34 & 16.4123153124912 & 0.897442981331035 \tabularnewline
0.35 & 16.6136921616807 & 0.933126747606246 \tabularnewline
0.36 & 16.8207593032051 & 0.959946333633542 \tabularnewline
0.37 & 17.0316958520162 & 0.977084244423678 \tabularnewline
0.38 & 17.2447214019653 & 0.98523469949069 \tabularnewline
0.39 & 17.4583503452696 & 0.98664121428787 \tabularnewline
0.4 & 17.6716030887474 & 0.984594059636528 \tabularnewline
0.41 & 17.8841096751483 & 0.982696968345553 \tabularnewline
0.42 & 18.0960692061265 & 0.983828558510181 \tabularnewline
0.43 & 18.3080708323837 & 0.989366467927457 \tabularnewline
0.44 & 18.5208221122028 & 0.998944258452925 \tabularnewline
0.45 & 18.7348543767846 & 1.01053405794707 \tabularnewline
0.46 & 18.9502764907729 & 1.02111760231792 \tabularnewline
0.47 & 19.1666307809993 & 1.02739358367963 \tabularnewline
0.48 & 19.3828762235746 & 1.02640961305711 \tabularnewline
0.49 & 19.5974936654893 & 1.01617218482948 \tabularnewline
0.5 & 19.808683033403 & 0.99589021741839 \tabularnewline
0.51 & 20.0146067750377 & 0.966067538851831 \tabularnewline
0.52 & 20.2136281598663 & 0.928330498746335 \tabularnewline
0.53 & 20.4044973804556 & 0.885151762891595 \tabularnewline
0.54 & 20.5864521346276 & 0.839368339918356 \tabularnewline
0.55 & 20.7592210985555 & 0.793587725682062 \tabularnewline
0.56 & 20.9229447643164 & 0.74982155280074 \tabularnewline
0.57 & 21.0780519865456 & 0.70908617260431 \tabularnewline
0.58 & 21.2251440865460 & 0.671622676882744 \tabularnewline
0.59 & 21.3649348438096 & 0.637354296951861 \tabularnewline
0.6 & 21.4982728148762 & 0.60637403880361 \tabularnewline
0.61 & 21.6262383303442 & 0.579723751766925 \tabularnewline
0.62 & 21.7502737755484 & 0.559467643041567 \tabularnewline
0.63 & 21.8722865403781 & 0.54848490164564 \tabularnewline
0.64 & 21.9946686624208 & 0.54970562035658 \tabularnewline
0.65 & 22.1202050963513 & 0.564939540757505 \tabularnewline
0.66 & 22.2518824670258 & 0.594355433378195 \tabularnewline
0.67 & 22.3926447540435 & 0.636347240750165 \tabularnewline
0.68 & 22.5451562662985 & 0.688245546919343 \tabularnewline
0.69 & 22.7116198664201 & 0.747025026326117 \tabularnewline
0.7 & 22.8936669732106 & 0.80977051831553 \tabularnewline
0.71 & 23.0923022184875 & 0.873829306208117 \tabularnewline
0.72 & 23.3078676057210 & 0.936521249228756 \tabularnewline
0.73 & 23.53999820664 & 0.994915234429345 \tabularnewline
0.74 & 23.7875701454447 & 1.04574753331975 \tabularnewline
0.75 & 24.0486768650701 & 1.08561230048916 \tabularnewline
0.76 & 24.3206931207545 & 1.11156545774714 \tabularnewline
0.77 & 24.6004858204714 & 1.12178245160085 \tabularnewline
0.78 & 24.8848072983217 & 1.11637394346348 \tabularnewline
0.79 & 25.170872078325 & 1.09789544672599 \tabularnewline
0.8 & 25.4570877961673 & 1.07169219636174 \tabularnewline
0.81 & 25.7438893536809 & 1.04602174109699 \tabularnewline
0.82 & 26.0345967473995 & 1.03196283992093 \tabularnewline
0.83 & 26.3361506788527 & 1.04282381927223 \tabularnewline
0.84 & 26.6594613756142 & 1.09256454969895 \tabularnewline
0.85 & 27.0189839190645 & 1.19193983018173 \tabularnewline
0.86 & 27.4311454276743 & 1.34263396856253 \tabularnewline
0.87 & 27.9115669538448 & 1.53273519589993 \tabularnewline
0.88 & 28.4716873842126 & 1.73717991150803 \tabularnewline
0.89 & 29.1161182406314 & 1.92424276949926 \tabularnewline
0.9 & 29.8421790270929 & 2.06687321428974 \tabularnewline
0.91 & 30.6419477471976 & 2.15319841579618 \tabularnewline
0.92 & 31.5051068857523 & 2.1872912533422 \tabularnewline
0.93 & 32.4200130322727 & 2.17446805636775 \tabularnewline
0.94 & 33.3741168316582 & 2.10436629940433 \tabularnewline
0.95 & 34.3631579905751 & 1.96817698169841 \tabularnewline
0.96 & 35.4201024759378 & 1.83219173499072 \tabularnewline
0.97 & 36.6462728576254 & 1.87511875090965 \tabularnewline
0.98 & 38.1606193800006 & 2.09973724464573 \tabularnewline
0.99 & 39.8429705805021 & 2.12499701440226 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74572&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]6.50273927786583[/C][C]0.897958689138382[/C][/ROW]
[ROW][C]0.02[/C][C]7.16970732635896[/C][C]0.738756518244979[/C][/ROW]
[ROW][C]0.03[/C][C]7.71297741430995[/C][C]0.617795219755496[/C][/ROW]
[ROW][C]0.04[/C][C]8.13722459875241[/C][C]0.686884670373113[/C][/ROW]
[ROW][C]0.05[/C][C]8.5334358872943[/C][C]0.869221179609573[/C][/ROW]
[ROW][C]0.06[/C][C]8.95378068938268[/C][C]1.02206849115856[/C][/ROW]
[ROW][C]0.07[/C][C]9.40111600094045[/C][C]1.10509456392270[/C][/ROW]
[ROW][C]0.08[/C][C]9.85993825425166[/C][C]1.15554843977908[/C][/ROW]
[ROW][C]0.09[/C][C]10.3200120744925[/C][C]1.21705471238100[/C][/ROW]
[ROW][C]0.1[/C][C]10.7797320295412[/C][C]1.29167713622326[/C][/ROW]
[ROW][C]0.11[/C][C]11.2385144342450[/C][C]1.34901282530707[/C][/ROW]
[ROW][C]0.12[/C][C]11.6905399923966[/C][C]1.35962255111134[/C][/ROW]
[ROW][C]0.13[/C][C]12.1247707354698[/C][C]1.31423023076438[/C][/ROW]
[ROW][C]0.14[/C][C]12.5292139311620[/C][C]1.22393041296221[/C][/ROW]
[ROW][C]0.15[/C][C]12.8953451265848[/C][C]1.11052881142336[/C][/ROW]
[ROW][C]0.16[/C][C]13.2201607199531[/C][C]0.995606058718126[/C][/ROW]
[ROW][C]0.17[/C][C]13.5056525561027[/C][C]0.893571122900444[/C][/ROW]
[ROW][C]0.18[/C][C]13.7568475988841[/C][C]0.810005074542729[/C][/ROW]
[ROW][C]0.19[/C][C]13.9797108024935[/C][C]0.743735601603843[/C][/ROW]
[ROW][C]0.2[/C][C]14.1797092938527[/C][C]0.690462063178571[/C][/ROW]
[ROW][C]0.21[/C][C]14.3612463787386[/C][C]0.645966457286094[/C][/ROW]
[ROW][C]0.22[/C][C]14.5277798798087[/C][C]0.608169919511419[/C][/ROW]
[ROW][C]0.23[/C][C]14.6822812068060[/C][C]0.577796453237029[/C][/ROW]
[ROW][C]0.24[/C][C]14.8277052672729[/C][C]0.557673077819596[/C][/ROW]
[ROW][C]0.25[/C][C]14.9672524935483[/C][C]0.551057215943315[/C][/ROW]
[ROW][C]0.26[/C][C]15.1043519008621[/C][C]0.559671006085814[/C][/ROW]
[ROW][C]0.27[/C][C]15.2424256180769[/C][C]0.582800716363597[/C][/ROW]
[ROW][C]0.28[/C][C]15.384569372131[/C][C]0.617635076627095[/C][/ROW]
[ROW][C]0.29[/C][C]15.5332834434784[/C][C]0.660540662540192[/C][/ROW]
[ROW][C]0.3[/C][C]15.6903309596455[/C][C]0.708207499614514[/C][/ROW]
[ROW][C]0.31[/C][C]15.8567248779427[/C][C]0.757921789787507[/C][/ROW]
[ROW][C]0.32[/C][C]16.0327925749847[/C][C]0.807499455809294[/C][/ROW]
[ROW][C]0.33[/C][C]16.2182585984391[/C][C]0.854772428133626[/C][/ROW]
[ROW][C]0.34[/C][C]16.4123153124912[/C][C]0.897442981331035[/C][/ROW]
[ROW][C]0.35[/C][C]16.6136921616807[/C][C]0.933126747606246[/C][/ROW]
[ROW][C]0.36[/C][C]16.8207593032051[/C][C]0.959946333633542[/C][/ROW]
[ROW][C]0.37[/C][C]17.0316958520162[/C][C]0.977084244423678[/C][/ROW]
[ROW][C]0.38[/C][C]17.2447214019653[/C][C]0.98523469949069[/C][/ROW]
[ROW][C]0.39[/C][C]17.4583503452696[/C][C]0.98664121428787[/C][/ROW]
[ROW][C]0.4[/C][C]17.6716030887474[/C][C]0.984594059636528[/C][/ROW]
[ROW][C]0.41[/C][C]17.8841096751483[/C][C]0.982696968345553[/C][/ROW]
[ROW][C]0.42[/C][C]18.0960692061265[/C][C]0.983828558510181[/C][/ROW]
[ROW][C]0.43[/C][C]18.3080708323837[/C][C]0.989366467927457[/C][/ROW]
[ROW][C]0.44[/C][C]18.5208221122028[/C][C]0.998944258452925[/C][/ROW]
[ROW][C]0.45[/C][C]18.7348543767846[/C][C]1.01053405794707[/C][/ROW]
[ROW][C]0.46[/C][C]18.9502764907729[/C][C]1.02111760231792[/C][/ROW]
[ROW][C]0.47[/C][C]19.1666307809993[/C][C]1.02739358367963[/C][/ROW]
[ROW][C]0.48[/C][C]19.3828762235746[/C][C]1.02640961305711[/C][/ROW]
[ROW][C]0.49[/C][C]19.5974936654893[/C][C]1.01617218482948[/C][/ROW]
[ROW][C]0.5[/C][C]19.808683033403[/C][C]0.99589021741839[/C][/ROW]
[ROW][C]0.51[/C][C]20.0146067750377[/C][C]0.966067538851831[/C][/ROW]
[ROW][C]0.52[/C][C]20.2136281598663[/C][C]0.928330498746335[/C][/ROW]
[ROW][C]0.53[/C][C]20.4044973804556[/C][C]0.885151762891595[/C][/ROW]
[ROW][C]0.54[/C][C]20.5864521346276[/C][C]0.839368339918356[/C][/ROW]
[ROW][C]0.55[/C][C]20.7592210985555[/C][C]0.793587725682062[/C][/ROW]
[ROW][C]0.56[/C][C]20.9229447643164[/C][C]0.74982155280074[/C][/ROW]
[ROW][C]0.57[/C][C]21.0780519865456[/C][C]0.70908617260431[/C][/ROW]
[ROW][C]0.58[/C][C]21.2251440865460[/C][C]0.671622676882744[/C][/ROW]
[ROW][C]0.59[/C][C]21.3649348438096[/C][C]0.637354296951861[/C][/ROW]
[ROW][C]0.6[/C][C]21.4982728148762[/C][C]0.60637403880361[/C][/ROW]
[ROW][C]0.61[/C][C]21.6262383303442[/C][C]0.579723751766925[/C][/ROW]
[ROW][C]0.62[/C][C]21.7502737755484[/C][C]0.559467643041567[/C][/ROW]
[ROW][C]0.63[/C][C]21.8722865403781[/C][C]0.54848490164564[/C][/ROW]
[ROW][C]0.64[/C][C]21.9946686624208[/C][C]0.54970562035658[/C][/ROW]
[ROW][C]0.65[/C][C]22.1202050963513[/C][C]0.564939540757505[/C][/ROW]
[ROW][C]0.66[/C][C]22.2518824670258[/C][C]0.594355433378195[/C][/ROW]
[ROW][C]0.67[/C][C]22.3926447540435[/C][C]0.636347240750165[/C][/ROW]
[ROW][C]0.68[/C][C]22.5451562662985[/C][C]0.688245546919343[/C][/ROW]
[ROW][C]0.69[/C][C]22.7116198664201[/C][C]0.747025026326117[/C][/ROW]
[ROW][C]0.7[/C][C]22.8936669732106[/C][C]0.80977051831553[/C][/ROW]
[ROW][C]0.71[/C][C]23.0923022184875[/C][C]0.873829306208117[/C][/ROW]
[ROW][C]0.72[/C][C]23.3078676057210[/C][C]0.936521249228756[/C][/ROW]
[ROW][C]0.73[/C][C]23.53999820664[/C][C]0.994915234429345[/C][/ROW]
[ROW][C]0.74[/C][C]23.7875701454447[/C][C]1.04574753331975[/C][/ROW]
[ROW][C]0.75[/C][C]24.0486768650701[/C][C]1.08561230048916[/C][/ROW]
[ROW][C]0.76[/C][C]24.3206931207545[/C][C]1.11156545774714[/C][/ROW]
[ROW][C]0.77[/C][C]24.6004858204714[/C][C]1.12178245160085[/C][/ROW]
[ROW][C]0.78[/C][C]24.8848072983217[/C][C]1.11637394346348[/C][/ROW]
[ROW][C]0.79[/C][C]25.170872078325[/C][C]1.09789544672599[/C][/ROW]
[ROW][C]0.8[/C][C]25.4570877961673[/C][C]1.07169219636174[/C][/ROW]
[ROW][C]0.81[/C][C]25.7438893536809[/C][C]1.04602174109699[/C][/ROW]
[ROW][C]0.82[/C][C]26.0345967473995[/C][C]1.03196283992093[/C][/ROW]
[ROW][C]0.83[/C][C]26.3361506788527[/C][C]1.04282381927223[/C][/ROW]
[ROW][C]0.84[/C][C]26.6594613756142[/C][C]1.09256454969895[/C][/ROW]
[ROW][C]0.85[/C][C]27.0189839190645[/C][C]1.19193983018173[/C][/ROW]
[ROW][C]0.86[/C][C]27.4311454276743[/C][C]1.34263396856253[/C][/ROW]
[ROW][C]0.87[/C][C]27.9115669538448[/C][C]1.53273519589993[/C][/ROW]
[ROW][C]0.88[/C][C]28.4716873842126[/C][C]1.73717991150803[/C][/ROW]
[ROW][C]0.89[/C][C]29.1161182406314[/C][C]1.92424276949926[/C][/ROW]
[ROW][C]0.9[/C][C]29.8421790270929[/C][C]2.06687321428974[/C][/ROW]
[ROW][C]0.91[/C][C]30.6419477471976[/C][C]2.15319841579618[/C][/ROW]
[ROW][C]0.92[/C][C]31.5051068857523[/C][C]2.1872912533422[/C][/ROW]
[ROW][C]0.93[/C][C]32.4200130322727[/C][C]2.17446805636775[/C][/ROW]
[ROW][C]0.94[/C][C]33.3741168316582[/C][C]2.10436629940433[/C][/ROW]
[ROW][C]0.95[/C][C]34.3631579905751[/C][C]1.96817698169841[/C][/ROW]
[ROW][C]0.96[/C][C]35.4201024759378[/C][C]1.83219173499072[/C][/ROW]
[ROW][C]0.97[/C][C]36.6462728576254[/C][C]1.87511875090965[/C][/ROW]
[ROW][C]0.98[/C][C]38.1606193800006[/C][C]2.09973724464573[/C][/ROW]
[ROW][C]0.99[/C][C]39.8429705805021[/C][C]2.12499701440226[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74572&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74572&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
0.016.502739277865830.897958689138382
0.027.169707326358960.738756518244979
0.037.712977414309950.617795219755496
0.048.137224598752410.686884670373113
0.058.53343588729430.869221179609573
0.068.953780689382681.02206849115856
0.079.401116000940451.10509456392270
0.089.859938254251661.15554843977908
0.0910.32001207449251.21705471238100
0.110.77973202954121.29167713622326
0.1111.23851443424501.34901282530707
0.1211.69053999239661.35962255111134
0.1312.12477073546981.31423023076438
0.1412.52921393116201.22393041296221
0.1512.89534512658481.11052881142336
0.1613.22016071995310.995606058718126
0.1713.50565255610270.893571122900444
0.1813.75684759888410.810005074542729
0.1913.97971080249350.743735601603843
0.214.17970929385270.690462063178571
0.2114.36124637873860.645966457286094
0.2214.52777987980870.608169919511419
0.2314.68228120680600.577796453237029
0.2414.82770526727290.557673077819596
0.2514.96725249354830.551057215943315
0.2615.10435190086210.559671006085814
0.2715.24242561807690.582800716363597
0.2815.3845693721310.617635076627095
0.2915.53328344347840.660540662540192
0.315.69033095964550.708207499614514
0.3115.85672487794270.757921789787507
0.3216.03279257498470.807499455809294
0.3316.21825859843910.854772428133626
0.3416.41231531249120.897442981331035
0.3516.61369216168070.933126747606246
0.3616.82075930320510.959946333633542
0.3717.03169585201620.977084244423678
0.3817.24472140196530.98523469949069
0.3917.45835034526960.98664121428787
0.417.67160308874740.984594059636528
0.4117.88410967514830.982696968345553
0.4218.09606920612650.983828558510181
0.4318.30807083238370.989366467927457
0.4418.52082211220280.998944258452925
0.4518.73485437678461.01053405794707
0.4618.95027649077291.02111760231792
0.4719.16663078099931.02739358367963
0.4819.38287622357461.02640961305711
0.4919.59749366548931.01617218482948
0.519.8086830334030.99589021741839
0.5120.01460677503770.966067538851831
0.5220.21362815986630.928330498746335
0.5320.40449738045560.885151762891595
0.5420.58645213462760.839368339918356
0.5520.75922109855550.793587725682062
0.5620.92294476431640.74982155280074
0.5721.07805198654560.70908617260431
0.5821.22514408654600.671622676882744
0.5921.36493484380960.637354296951861
0.621.49827281487620.60637403880361
0.6121.62623833034420.579723751766925
0.6221.75027377554840.559467643041567
0.6321.87228654037810.54848490164564
0.6421.99466866242080.54970562035658
0.6522.12020509635130.564939540757505
0.6622.25188246702580.594355433378195
0.6722.39264475404350.636347240750165
0.6822.54515626629850.688245546919343
0.6922.71161986642010.747025026326117
0.722.89366697321060.80977051831553
0.7123.09230221848750.873829306208117
0.7223.30786760572100.936521249228756
0.7323.539998206640.994915234429345
0.7423.78757014544471.04574753331975
0.7524.04867686507011.08561230048916
0.7624.32069312075451.11156545774714
0.7724.60048582047141.12178245160085
0.7824.88480729832171.11637394346348
0.7925.1708720783251.09789544672599
0.825.45708779616731.07169219636174
0.8125.74388935368091.04602174109699
0.8226.03459674739951.03196283992093
0.8326.33615067885271.04282381927223
0.8426.65946137561421.09256454969895
0.8527.01898391906451.19193983018173
0.8627.43114542767431.34263396856253
0.8727.91156695384481.53273519589993
0.8828.47168738421261.73717991150803
0.8929.11611824063141.92424276949926
0.929.84217902709292.06687321428974
0.9130.64194774719762.15319841579618
0.9231.50510688575232.1872912533422
0.9332.42001303227272.17446805636775
0.9433.37411683165822.10436629940433
0.9534.36315799057511.96817698169841
0.9635.42010247593781.83219173499072
0.9736.64627285762541.87511875090965
0.9838.16061938000062.09973724464573
0.9939.84297058050212.12499701440226


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 ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')