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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 computationSun, 14 Oct 2012 07:16:16 -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/2012/Oct/14/t1350213488xz2sc4zhhkypo7p.htm/, Retrieved Sun, 28 Apr 2024 05:21:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176069, Retrieved Sun, 28 Apr 2024 05:21:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61

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] [Harrel-Davis Quan...] [2012-10-14 11:16:16] [759d976b0145c646d806dbc713cd6623] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
113.4
114.9
120.4
124.9
123.6
123.3
123
123.1
126.4
128.4
128.5
131.5
121.9
109
98.9
95
91.7
97.1
99.7
101
101.1
94.2
93.1
97.8
81.9
78.5
72.3
68.1
72.6
73.7
71
64.7
64.2
62.4
75.5
84
80.2
93.5
109.3
148.8
164.6
182.5
163
138.3
126
125.3
131.3
96.1
93
89.6
77.3
68.3
69.1
66.4
64.2
54.9
54.9
54.7
54.8
52.3
52.5
45.7
45.5
48.2
52
53.8
53.5
52.9
55.1
53.8
49.9
45.3

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=176069&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=176069&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176069&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
0.0145.44974807989240.43158867860922
0.0245.81263527622410.996417761931002
0.0346.41658894685331.65771899036939
0.0447.2293682824212.1748767251084
0.0548.16763513511162.42522406489321
0.0649.13048472944252.41375516452324
0.0750.03361359706232.21913770466798
0.0850.82692656534791.93769030641459
0.0951.49480291839771.65074236739751
0.152.04671307359461.41259473916723
0.1152.50585299403411.2506605766461
0.1252.90018492114261.17236243092819
0.1353.25721835053291.17559253112568
0.1453.60202099590441.25892291500452
0.1553.95717932294971.42496847075561
0.1654.34337930050161.67715894890745
0.1754.77963989444692.01425522796216
0.1855.28275692897162.42565012683811
0.1955.86601660229252.8898869224246
0.256.53759421786173.37617500425094
0.2157.299205345723.84814692432586
0.2258.1455206603014.26950823336674
0.2359.06463781195784.61022316302858
0.2460.03960602094564.85098549975202
0.2561.05071843489564.98631908412126
0.2662.07810644842385.02440005959793
0.2763.10413268286214.98453226040759
0.2864.11517873502424.89287810282127
0.2965.10261189608014.77772754245871
0.366.06292406150614.66477845827132
0.3166.99720446898744.57505007910522
0.3267.91019908528754.52298901788394
0.3368.80921771596794.51687868776393
0.3469.70309457839754.56053390529871
0.3570.60132098416034.65406970870964
0.3671.51338131269514.79578458167494
0.3772.44825785662864.98196891255391
0.3873.41403643403655.207520014193
0.3974.41754235359045.46566851133908
0.475.46395809841295.74725531526696
0.4176.55640982570716.03991317390301
0.4277.69554917021366.3289379721178
0.4378.879190786596.59733745462839
0.4480.10208719257276.82657575641371
0.4581.35592556633476.99866673579616
0.4682.62961386687267.09772873461268
0.4783.90988739075547.11214552340586
0.4885.1822173212047.03638530214332
0.4986.43194946357736.87191258705084
0.587.64555581215086.62798940653937
0.5188.8118548151326.32094761780831
0.5289.9230553889275.97295562164005
0.5390.97550590028695.6101251390456
0.5491.97007658496875.26018939742606
0.5592.91216072214234.95000932003407
0.5693.81133244168384.70392033071734
0.5794.68073506087244.541664803459
0.5895.5362863789394.47734850311147
0.5996.39577678144244.51883935909399
0.697.27790974995634.66731849743904
0.6198.2013043989554.91784041165657
0.6299.18345853723185.25918800966164
0.63100.2396675856115.67433478971806
0.64101.3819122616136.14086063747535
0.65102.6177619435446.63115298642577
0.66103.9493810862037.11329478326618
0.67105.3727604562887.55292776589758
0.68106.8773117670847.91558884589963
0.69108.4459558241768.16908987680667
0.7110.0557980244188.2870089778617
0.71111.6794235161518.25117586256568
0.72113.2867642419328.05447298349928
0.73114.8474015416547.70189149960918
0.74116.333084166877.2109412952517
0.75117.7201783788736.61065964064289
0.76118.991741460165.93904385828413
0.77120.1389371932735.23930705702415
0.78121.1615982784124.55523473223468
0.79122.067879345183.92747256085346
0.8122.8731129350343.3889087255054
0.81123.5981469592072.96243142297851
0.82124.2675741117762.65974652003372
0.83124.9083442049822.48192779871928
0.84125.5492818838612.42289173886344
0.85126.2220249603962.47667761602888
0.86126.9638365577582.64578829863074
0.87127.8225369396682.95083485640065
0.88128.8632502256533.43651644645217
0.89130.1754946504434.17036921712246
0.9131.8771952750775.22582961150801
0.91134.1098401789056.6441264665119
0.92137.0179467652058.37874153411616
0.93140.71022100320510.2344276050647
0.94145.21487093947211.8356457887593
0.95150.4674354963512.6979452780171
0.96156.37970394331812.5080224519187
0.97162.95785269019311.6924518442794
0.98170.20793685264511.9379887076359
0.99177.44822158655314.5767178516717

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 45.4497480798924 & 0.43158867860922 \tabularnewline
0.02 & 45.8126352762241 & 0.996417761931002 \tabularnewline
0.03 & 46.4165889468533 & 1.65771899036939 \tabularnewline
0.04 & 47.229368282421 & 2.1748767251084 \tabularnewline
0.05 & 48.1676351351116 & 2.42522406489321 \tabularnewline
0.06 & 49.1304847294425 & 2.41375516452324 \tabularnewline
0.07 & 50.0336135970623 & 2.21913770466798 \tabularnewline
0.08 & 50.8269265653479 & 1.93769030641459 \tabularnewline
0.09 & 51.4948029183977 & 1.65074236739751 \tabularnewline
0.1 & 52.0467130735946 & 1.41259473916723 \tabularnewline
0.11 & 52.5058529940341 & 1.2506605766461 \tabularnewline
0.12 & 52.9001849211426 & 1.17236243092819 \tabularnewline
0.13 & 53.2572183505329 & 1.17559253112568 \tabularnewline
0.14 & 53.6020209959044 & 1.25892291500452 \tabularnewline
0.15 & 53.9571793229497 & 1.42496847075561 \tabularnewline
0.16 & 54.3433793005016 & 1.67715894890745 \tabularnewline
0.17 & 54.7796398944469 & 2.01425522796216 \tabularnewline
0.18 & 55.2827569289716 & 2.42565012683811 \tabularnewline
0.19 & 55.8660166022925 & 2.8898869224246 \tabularnewline
0.2 & 56.5375942178617 & 3.37617500425094 \tabularnewline
0.21 & 57.29920534572 & 3.84814692432586 \tabularnewline
0.22 & 58.145520660301 & 4.26950823336674 \tabularnewline
0.23 & 59.0646378119578 & 4.61022316302858 \tabularnewline
0.24 & 60.0396060209456 & 4.85098549975202 \tabularnewline
0.25 & 61.0507184348956 & 4.98631908412126 \tabularnewline
0.26 & 62.0781064484238 & 5.02440005959793 \tabularnewline
0.27 & 63.1041326828621 & 4.98453226040759 \tabularnewline
0.28 & 64.1151787350242 & 4.89287810282127 \tabularnewline
0.29 & 65.1026118960801 & 4.77772754245871 \tabularnewline
0.3 & 66.0629240615061 & 4.66477845827132 \tabularnewline
0.31 & 66.9972044689874 & 4.57505007910522 \tabularnewline
0.32 & 67.9101990852875 & 4.52298901788394 \tabularnewline
0.33 & 68.8092177159679 & 4.51687868776393 \tabularnewline
0.34 & 69.7030945783975 & 4.56053390529871 \tabularnewline
0.35 & 70.6013209841603 & 4.65406970870964 \tabularnewline
0.36 & 71.5133813126951 & 4.79578458167494 \tabularnewline
0.37 & 72.4482578566286 & 4.98196891255391 \tabularnewline
0.38 & 73.4140364340365 & 5.207520014193 \tabularnewline
0.39 & 74.4175423535904 & 5.46566851133908 \tabularnewline
0.4 & 75.4639580984129 & 5.74725531526696 \tabularnewline
0.41 & 76.5564098257071 & 6.03991317390301 \tabularnewline
0.42 & 77.6955491702136 & 6.3289379721178 \tabularnewline
0.43 & 78.87919078659 & 6.59733745462839 \tabularnewline
0.44 & 80.1020871925727 & 6.82657575641371 \tabularnewline
0.45 & 81.3559255663347 & 6.99866673579616 \tabularnewline
0.46 & 82.6296138668726 & 7.09772873461268 \tabularnewline
0.47 & 83.9098873907554 & 7.11214552340586 \tabularnewline
0.48 & 85.182217321204 & 7.03638530214332 \tabularnewline
0.49 & 86.4319494635773 & 6.87191258705084 \tabularnewline
0.5 & 87.6455558121508 & 6.62798940653937 \tabularnewline
0.51 & 88.811854815132 & 6.32094761780831 \tabularnewline
0.52 & 89.923055388927 & 5.97295562164005 \tabularnewline
0.53 & 90.9755059002869 & 5.6101251390456 \tabularnewline
0.54 & 91.9700765849687 & 5.26018939742606 \tabularnewline
0.55 & 92.9121607221423 & 4.95000932003407 \tabularnewline
0.56 & 93.8113324416838 & 4.70392033071734 \tabularnewline
0.57 & 94.6807350608724 & 4.541664803459 \tabularnewline
0.58 & 95.536286378939 & 4.47734850311147 \tabularnewline
0.59 & 96.3957767814424 & 4.51883935909399 \tabularnewline
0.6 & 97.2779097499563 & 4.66731849743904 \tabularnewline
0.61 & 98.201304398955 & 4.91784041165657 \tabularnewline
0.62 & 99.1834585372318 & 5.25918800966164 \tabularnewline
0.63 & 100.239667585611 & 5.67433478971806 \tabularnewline
0.64 & 101.381912261613 & 6.14086063747535 \tabularnewline
0.65 & 102.617761943544 & 6.63115298642577 \tabularnewline
0.66 & 103.949381086203 & 7.11329478326618 \tabularnewline
0.67 & 105.372760456288 & 7.55292776589758 \tabularnewline
0.68 & 106.877311767084 & 7.91558884589963 \tabularnewline
0.69 & 108.445955824176 & 8.16908987680667 \tabularnewline
0.7 & 110.055798024418 & 8.2870089778617 \tabularnewline
0.71 & 111.679423516151 & 8.25117586256568 \tabularnewline
0.72 & 113.286764241932 & 8.05447298349928 \tabularnewline
0.73 & 114.847401541654 & 7.70189149960918 \tabularnewline
0.74 & 116.33308416687 & 7.2109412952517 \tabularnewline
0.75 & 117.720178378873 & 6.61065964064289 \tabularnewline
0.76 & 118.99174146016 & 5.93904385828413 \tabularnewline
0.77 & 120.138937193273 & 5.23930705702415 \tabularnewline
0.78 & 121.161598278412 & 4.55523473223468 \tabularnewline
0.79 & 122.06787934518 & 3.92747256085346 \tabularnewline
0.8 & 122.873112935034 & 3.3889087255054 \tabularnewline
0.81 & 123.598146959207 & 2.96243142297851 \tabularnewline
0.82 & 124.267574111776 & 2.65974652003372 \tabularnewline
0.83 & 124.908344204982 & 2.48192779871928 \tabularnewline
0.84 & 125.549281883861 & 2.42289173886344 \tabularnewline
0.85 & 126.222024960396 & 2.47667761602888 \tabularnewline
0.86 & 126.963836557758 & 2.64578829863074 \tabularnewline
0.87 & 127.822536939668 & 2.95083485640065 \tabularnewline
0.88 & 128.863250225653 & 3.43651644645217 \tabularnewline
0.89 & 130.175494650443 & 4.17036921712246 \tabularnewline
0.9 & 131.877195275077 & 5.22582961150801 \tabularnewline
0.91 & 134.109840178905 & 6.6441264665119 \tabularnewline
0.92 & 137.017946765205 & 8.37874153411616 \tabularnewline
0.93 & 140.710221003205 & 10.2344276050647 \tabularnewline
0.94 & 145.214870939472 & 11.8356457887593 \tabularnewline
0.95 & 150.46743549635 & 12.6979452780171 \tabularnewline
0.96 & 156.379703943318 & 12.5080224519187 \tabularnewline
0.97 & 162.957852690193 & 11.6924518442794 \tabularnewline
0.98 & 170.207936852645 & 11.9379887076359 \tabularnewline
0.99 & 177.448221586553 & 14.5767178516717 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176069&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]45.4497480798924[/C][C]0.43158867860922[/C][/ROW]
[ROW][C]0.02[/C][C]45.8126352762241[/C][C]0.996417761931002[/C][/ROW]
[ROW][C]0.03[/C][C]46.4165889468533[/C][C]1.65771899036939[/C][/ROW]
[ROW][C]0.04[/C][C]47.229368282421[/C][C]2.1748767251084[/C][/ROW]
[ROW][C]0.05[/C][C]48.1676351351116[/C][C]2.42522406489321[/C][/ROW]
[ROW][C]0.06[/C][C]49.1304847294425[/C][C]2.41375516452324[/C][/ROW]
[ROW][C]0.07[/C][C]50.0336135970623[/C][C]2.21913770466798[/C][/ROW]
[ROW][C]0.08[/C][C]50.8269265653479[/C][C]1.93769030641459[/C][/ROW]
[ROW][C]0.09[/C][C]51.4948029183977[/C][C]1.65074236739751[/C][/ROW]
[ROW][C]0.1[/C][C]52.0467130735946[/C][C]1.41259473916723[/C][/ROW]
[ROW][C]0.11[/C][C]52.5058529940341[/C][C]1.2506605766461[/C][/ROW]
[ROW][C]0.12[/C][C]52.9001849211426[/C][C]1.17236243092819[/C][/ROW]
[ROW][C]0.13[/C][C]53.2572183505329[/C][C]1.17559253112568[/C][/ROW]
[ROW][C]0.14[/C][C]53.6020209959044[/C][C]1.25892291500452[/C][/ROW]
[ROW][C]0.15[/C][C]53.9571793229497[/C][C]1.42496847075561[/C][/ROW]
[ROW][C]0.16[/C][C]54.3433793005016[/C][C]1.67715894890745[/C][/ROW]
[ROW][C]0.17[/C][C]54.7796398944469[/C][C]2.01425522796216[/C][/ROW]
[ROW][C]0.18[/C][C]55.2827569289716[/C][C]2.42565012683811[/C][/ROW]
[ROW][C]0.19[/C][C]55.8660166022925[/C][C]2.8898869224246[/C][/ROW]
[ROW][C]0.2[/C][C]56.5375942178617[/C][C]3.37617500425094[/C][/ROW]
[ROW][C]0.21[/C][C]57.29920534572[/C][C]3.84814692432586[/C][/ROW]
[ROW][C]0.22[/C][C]58.145520660301[/C][C]4.26950823336674[/C][/ROW]
[ROW][C]0.23[/C][C]59.0646378119578[/C][C]4.61022316302858[/C][/ROW]
[ROW][C]0.24[/C][C]60.0396060209456[/C][C]4.85098549975202[/C][/ROW]
[ROW][C]0.25[/C][C]61.0507184348956[/C][C]4.98631908412126[/C][/ROW]
[ROW][C]0.26[/C][C]62.0781064484238[/C][C]5.02440005959793[/C][/ROW]
[ROW][C]0.27[/C][C]63.1041326828621[/C][C]4.98453226040759[/C][/ROW]
[ROW][C]0.28[/C][C]64.1151787350242[/C][C]4.89287810282127[/C][/ROW]
[ROW][C]0.29[/C][C]65.1026118960801[/C][C]4.77772754245871[/C][/ROW]
[ROW][C]0.3[/C][C]66.0629240615061[/C][C]4.66477845827132[/C][/ROW]
[ROW][C]0.31[/C][C]66.9972044689874[/C][C]4.57505007910522[/C][/ROW]
[ROW][C]0.32[/C][C]67.9101990852875[/C][C]4.52298901788394[/C][/ROW]
[ROW][C]0.33[/C][C]68.8092177159679[/C][C]4.51687868776393[/C][/ROW]
[ROW][C]0.34[/C][C]69.7030945783975[/C][C]4.56053390529871[/C][/ROW]
[ROW][C]0.35[/C][C]70.6013209841603[/C][C]4.65406970870964[/C][/ROW]
[ROW][C]0.36[/C][C]71.5133813126951[/C][C]4.79578458167494[/C][/ROW]
[ROW][C]0.37[/C][C]72.4482578566286[/C][C]4.98196891255391[/C][/ROW]
[ROW][C]0.38[/C][C]73.4140364340365[/C][C]5.207520014193[/C][/ROW]
[ROW][C]0.39[/C][C]74.4175423535904[/C][C]5.46566851133908[/C][/ROW]
[ROW][C]0.4[/C][C]75.4639580984129[/C][C]5.74725531526696[/C][/ROW]
[ROW][C]0.41[/C][C]76.5564098257071[/C][C]6.03991317390301[/C][/ROW]
[ROW][C]0.42[/C][C]77.6955491702136[/C][C]6.3289379721178[/C][/ROW]
[ROW][C]0.43[/C][C]78.87919078659[/C][C]6.59733745462839[/C][/ROW]
[ROW][C]0.44[/C][C]80.1020871925727[/C][C]6.82657575641371[/C][/ROW]
[ROW][C]0.45[/C][C]81.3559255663347[/C][C]6.99866673579616[/C][/ROW]
[ROW][C]0.46[/C][C]82.6296138668726[/C][C]7.09772873461268[/C][/ROW]
[ROW][C]0.47[/C][C]83.9098873907554[/C][C]7.11214552340586[/C][/ROW]
[ROW][C]0.48[/C][C]85.182217321204[/C][C]7.03638530214332[/C][/ROW]
[ROW][C]0.49[/C][C]86.4319494635773[/C][C]6.87191258705084[/C][/ROW]
[ROW][C]0.5[/C][C]87.6455558121508[/C][C]6.62798940653937[/C][/ROW]
[ROW][C]0.51[/C][C]88.811854815132[/C][C]6.32094761780831[/C][/ROW]
[ROW][C]0.52[/C][C]89.923055388927[/C][C]5.97295562164005[/C][/ROW]
[ROW][C]0.53[/C][C]90.9755059002869[/C][C]5.6101251390456[/C][/ROW]
[ROW][C]0.54[/C][C]91.9700765849687[/C][C]5.26018939742606[/C][/ROW]
[ROW][C]0.55[/C][C]92.9121607221423[/C][C]4.95000932003407[/C][/ROW]
[ROW][C]0.56[/C][C]93.8113324416838[/C][C]4.70392033071734[/C][/ROW]
[ROW][C]0.57[/C][C]94.6807350608724[/C][C]4.541664803459[/C][/ROW]
[ROW][C]0.58[/C][C]95.536286378939[/C][C]4.47734850311147[/C][/ROW]
[ROW][C]0.59[/C][C]96.3957767814424[/C][C]4.51883935909399[/C][/ROW]
[ROW][C]0.6[/C][C]97.2779097499563[/C][C]4.66731849743904[/C][/ROW]
[ROW][C]0.61[/C][C]98.201304398955[/C][C]4.91784041165657[/C][/ROW]
[ROW][C]0.62[/C][C]99.1834585372318[/C][C]5.25918800966164[/C][/ROW]
[ROW][C]0.63[/C][C]100.239667585611[/C][C]5.67433478971806[/C][/ROW]
[ROW][C]0.64[/C][C]101.381912261613[/C][C]6.14086063747535[/C][/ROW]
[ROW][C]0.65[/C][C]102.617761943544[/C][C]6.63115298642577[/C][/ROW]
[ROW][C]0.66[/C][C]103.949381086203[/C][C]7.11329478326618[/C][/ROW]
[ROW][C]0.67[/C][C]105.372760456288[/C][C]7.55292776589758[/C][/ROW]
[ROW][C]0.68[/C][C]106.877311767084[/C][C]7.91558884589963[/C][/ROW]
[ROW][C]0.69[/C][C]108.445955824176[/C][C]8.16908987680667[/C][/ROW]
[ROW][C]0.7[/C][C]110.055798024418[/C][C]8.2870089778617[/C][/ROW]
[ROW][C]0.71[/C][C]111.679423516151[/C][C]8.25117586256568[/C][/ROW]
[ROW][C]0.72[/C][C]113.286764241932[/C][C]8.05447298349928[/C][/ROW]
[ROW][C]0.73[/C][C]114.847401541654[/C][C]7.70189149960918[/C][/ROW]
[ROW][C]0.74[/C][C]116.33308416687[/C][C]7.2109412952517[/C][/ROW]
[ROW][C]0.75[/C][C]117.720178378873[/C][C]6.61065964064289[/C][/ROW]
[ROW][C]0.76[/C][C]118.99174146016[/C][C]5.93904385828413[/C][/ROW]
[ROW][C]0.77[/C][C]120.138937193273[/C][C]5.23930705702415[/C][/ROW]
[ROW][C]0.78[/C][C]121.161598278412[/C][C]4.55523473223468[/C][/ROW]
[ROW][C]0.79[/C][C]122.06787934518[/C][C]3.92747256085346[/C][/ROW]
[ROW][C]0.8[/C][C]122.873112935034[/C][C]3.3889087255054[/C][/ROW]
[ROW][C]0.81[/C][C]123.598146959207[/C][C]2.96243142297851[/C][/ROW]
[ROW][C]0.82[/C][C]124.267574111776[/C][C]2.65974652003372[/C][/ROW]
[ROW][C]0.83[/C][C]124.908344204982[/C][C]2.48192779871928[/C][/ROW]
[ROW][C]0.84[/C][C]125.549281883861[/C][C]2.42289173886344[/C][/ROW]
[ROW][C]0.85[/C][C]126.222024960396[/C][C]2.47667761602888[/C][/ROW]
[ROW][C]0.86[/C][C]126.963836557758[/C][C]2.64578829863074[/C][/ROW]
[ROW][C]0.87[/C][C]127.822536939668[/C][C]2.95083485640065[/C][/ROW]
[ROW][C]0.88[/C][C]128.863250225653[/C][C]3.43651644645217[/C][/ROW]
[ROW][C]0.89[/C][C]130.175494650443[/C][C]4.17036921712246[/C][/ROW]
[ROW][C]0.9[/C][C]131.877195275077[/C][C]5.22582961150801[/C][/ROW]
[ROW][C]0.91[/C][C]134.109840178905[/C][C]6.6441264665119[/C][/ROW]
[ROW][C]0.92[/C][C]137.017946765205[/C][C]8.37874153411616[/C][/ROW]
[ROW][C]0.93[/C][C]140.710221003205[/C][C]10.2344276050647[/C][/ROW]
[ROW][C]0.94[/C][C]145.214870939472[/C][C]11.8356457887593[/C][/ROW]
[ROW][C]0.95[/C][C]150.46743549635[/C][C]12.6979452780171[/C][/ROW]
[ROW][C]0.96[/C][C]156.379703943318[/C][C]12.5080224519187[/C][/ROW]
[ROW][C]0.97[/C][C]162.957852690193[/C][C]11.6924518442794[/C][/ROW]
[ROW][C]0.98[/C][C]170.207936852645[/C][C]11.9379887076359[/C][/ROW]
[ROW][C]0.99[/C][C]177.448221586553[/C][C]14.5767178516717[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176069&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176069&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
0.0145.44974807989240.43158867860922
0.0245.81263527622410.996417761931002
0.0346.41658894685331.65771899036939
0.0447.2293682824212.1748767251084
0.0548.16763513511162.42522406489321
0.0649.13048472944252.41375516452324
0.0750.03361359706232.21913770466798
0.0850.82692656534791.93769030641459
0.0951.49480291839771.65074236739751
0.152.04671307359461.41259473916723
0.1152.50585299403411.2506605766461
0.1252.90018492114261.17236243092819
0.1353.25721835053291.17559253112568
0.1453.60202099590441.25892291500452
0.1553.95717932294971.42496847075561
0.1654.34337930050161.67715894890745
0.1754.77963989444692.01425522796216
0.1855.28275692897162.42565012683811
0.1955.86601660229252.8898869224246
0.256.53759421786173.37617500425094
0.2157.299205345723.84814692432586
0.2258.1455206603014.26950823336674
0.2359.06463781195784.61022316302858
0.2460.03960602094564.85098549975202
0.2561.05071843489564.98631908412126
0.2662.07810644842385.02440005959793
0.2763.10413268286214.98453226040759
0.2864.11517873502424.89287810282127
0.2965.10261189608014.77772754245871
0.366.06292406150614.66477845827132
0.3166.99720446898744.57505007910522
0.3267.91019908528754.52298901788394
0.3368.80921771596794.51687868776393
0.3469.70309457839754.56053390529871
0.3570.60132098416034.65406970870964
0.3671.51338131269514.79578458167494
0.3772.44825785662864.98196891255391
0.3873.41403643403655.207520014193
0.3974.41754235359045.46566851133908
0.475.46395809841295.74725531526696
0.4176.55640982570716.03991317390301
0.4277.69554917021366.3289379721178
0.4378.879190786596.59733745462839
0.4480.10208719257276.82657575641371
0.4581.35592556633476.99866673579616
0.4682.62961386687267.09772873461268
0.4783.90988739075547.11214552340586
0.4885.1822173212047.03638530214332
0.4986.43194946357736.87191258705084
0.587.64555581215086.62798940653937
0.5188.8118548151326.32094761780831
0.5289.9230553889275.97295562164005
0.5390.97550590028695.6101251390456
0.5491.97007658496875.26018939742606
0.5592.91216072214234.95000932003407
0.5693.81133244168384.70392033071734
0.5794.68073506087244.541664803459
0.5895.5362863789394.47734850311147
0.5996.39577678144244.51883935909399
0.697.27790974995634.66731849743904
0.6198.2013043989554.91784041165657
0.6299.18345853723185.25918800966164
0.63100.2396675856115.67433478971806
0.64101.3819122616136.14086063747535
0.65102.6177619435446.63115298642577
0.66103.9493810862037.11329478326618
0.67105.3727604562887.55292776589758
0.68106.8773117670847.91558884589963
0.69108.4459558241768.16908987680667
0.7110.0557980244188.2870089778617
0.71111.6794235161518.25117586256568
0.72113.2867642419328.05447298349928
0.73114.8474015416547.70189149960918
0.74116.333084166877.2109412952517
0.75117.7201783788736.61065964064289
0.76118.991741460165.93904385828413
0.77120.1389371932735.23930705702415
0.78121.1615982784124.55523473223468
0.79122.067879345183.92747256085346
0.8122.8731129350343.3889087255054
0.81123.5981469592072.96243142297851
0.82124.2675741117762.65974652003372
0.83124.9083442049822.48192779871928
0.84125.5492818838612.42289173886344
0.85126.2220249603962.47667761602888
0.86126.9638365577582.64578829863074
0.87127.8225369396682.95083485640065
0.88128.8632502256533.43651644645217
0.89130.1754946504434.17036921712246
0.9131.8771952750775.22582961150801
0.91134.1098401789056.6441264665119
0.92137.0179467652058.37874153411616
0.93140.71022100320510.2344276050647
0.94145.21487093947211.8356457887593
0.95150.4674354963512.6979452780171
0.96156.37970394331812.5080224519187
0.97162.95785269019311.6924518442794
0.98170.20793685264511.9379887076359
0.99177.44822158655314.5767178516717


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')