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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, 06 Jun 2010 19:46:49 +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/Jun/06/t1275853788azu2liji9hx0fid.htm/, Retrieved Sun, 28 Apr 2024 08:34:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77783, Retrieved Sun, 28 Apr 2024 08:34:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127

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] [] [2010-06-06 19:46:49] [aec95ccba2c38285ca49e8d90cbfedc9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
133
126
120
114
116
153
162
161
149
139
135
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107
99
103
131
137
135
124
118
121
121
118
113
107

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time18 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 & 18 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77783&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]18 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=77783&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77783&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 time18 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.31250491962983.44409752999189
0.0287.42915735185543.86884846947348
0.0389.67539338289423.72889395227487
0.0491.66618329859253.31207331773814
0.0593.33402878029023.08172727693859
0.0694.76916180707373.15836203732887
0.0796.0820583621813.3757250635793
0.0897.3389043450153.55190687008554
0.0998.554483292553.59305159641236
0.199.71160979950083.48320144640705
0.11100.7836663696933.25351046973874
0.12101.7496807769432.95374380059523
0.13102.6005945414582.63261643480188
0.14103.3393331254212.32887342852077
0.15103.9778159468202.06889716273217
0.16104.5331673946251.86780160950326
0.17105.0243340561231.73069291984082
0.18105.4695654846571.65364285149800
0.19105.8848210649721.62661311421216
0.2106.2829954809531.63703978999914
0.21106.6737835754171.67299067721068
0.22107.0639727479181.72496147348841
0.23107.4579502759341.78627069585921
0.24107.8582488016241.85168802311219
0.25108.2660174505601.91724215581535
0.26108.6813769678491.97953376745430
0.27109.1036722933682.03533477367158
0.28109.5316628155812.08208235659571
0.29109.9636900472832.11802438563556
0.3110.3978447814122.14212990792973
0.31110.8321337381412.15458921988721
0.32111.2646295897432.15637809340583
0.33111.6935832807352.14880670735086
0.34112.1174838334022.13357738034032
0.35112.5350646110022.11208191223739
0.36112.9452706487072.08515633509287
0.37113.3472134954192.05321026096895
0.38113.7401439616482.01633011425375
0.39114.1234677492311.97492186346980
0.4114.4968154858591.92991443148797
0.41114.8601608426111.88322188440277
0.42115.2139630183031.83806070749691
0.43115.5592976340351.79853998870717
0.44115.8979363525031.76950958754865
0.45116.2323415482931.75556135272774
0.46116.5655569901271.76047985491243
0.47116.9009956308041.7861929862364
0.48117.242146879981.83233799220338
0.49117.5922435842221.89597033202889
0.5117.9539395924781.97200000435021
0.51118.3290501034862.05448711846396
0.52118.7183988769812.13638029912432
0.53119.1218006899112.2119579132678
0.54119.5381873369112.27616163131358
0.55119.9658646655432.32638199339282
0.56120.4028697757182.36201891657731
0.57120.8473836615452.38505612772105
0.58121.2981460719842.39994772913525
0.59121.7548162442862.41283697009066
0.6122.2182253381252.43110174713371
0.61122.6904742398622.46267676562899
0.62123.1748447901622.51470892767531
0.63123.6755141546322.59170273971378
0.64124.1970904868252.69498393880741
0.65124.74402037072.82171645375806
0.66125.3199492361062.96490624989507
0.67125.9271376649573.11435070365294
0.68126.5660421752023.25798892808634
0.69127.2351545660263.3842020201689
0.7127.9311602014863.48300870060666
0.71128.6494291799373.54811779657392
0.72129.3848052208683.57835113243986
0.73130.1326149419183.57778992281664
0.74130.8897898000853.55632186463794
0.75131.6559716425583.52849983759605
0.76132.4344516922143.51333692887464
0.77133.2327630863753.53191743025437
0.78134.0627099058253.60541905777160
0.79134.9395913741893.75044568958433
0.8135.8804109796883.97300502406299
0.81136.9010007529874.26318279934277
0.82138.0122801614844.59177689385811
0.83139.2162935266484.91142890988826
0.84140.5031279221715.16280574779403
0.85141.8501061500195.28727181844273
0.86143.2245201063325.24228304141471
0.87144.590404301385.01816235476633
0.88145.9184210513664.64883386264344
0.89147.1961498409714.21363992041793
0.9148.4346809392893.8231086617205
0.91149.6674846869553.58264330343017
0.92150.9400377916763.53278150862863
0.93152.2935100065503.607790031196
0.94153.7503791980753.67435884485758
0.95155.3089800664813.62514258375545
0.96156.9438923979403.44089163644075
0.97158.5959071758363.12946108980588
0.98160.1394174575462.5774202324363
0.99161.3554813732641.69982786451222

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.3125049196298 & 3.44409752999189 \tabularnewline
0.02 & 87.4291573518554 & 3.86884846947348 \tabularnewline
0.03 & 89.6753933828942 & 3.72889395227487 \tabularnewline
0.04 & 91.6661832985925 & 3.31207331773814 \tabularnewline
0.05 & 93.3340287802902 & 3.08172727693859 \tabularnewline
0.06 & 94.7691618070737 & 3.15836203732887 \tabularnewline
0.07 & 96.082058362181 & 3.3757250635793 \tabularnewline
0.08 & 97.338904345015 & 3.55190687008554 \tabularnewline
0.09 & 98.55448329255 & 3.59305159641236 \tabularnewline
0.1 & 99.7116097995008 & 3.48320144640705 \tabularnewline
0.11 & 100.783666369693 & 3.25351046973874 \tabularnewline
0.12 & 101.749680776943 & 2.95374380059523 \tabularnewline
0.13 & 102.600594541458 & 2.63261643480188 \tabularnewline
0.14 & 103.339333125421 & 2.32887342852077 \tabularnewline
0.15 & 103.977815946820 & 2.06889716273217 \tabularnewline
0.16 & 104.533167394625 & 1.86780160950326 \tabularnewline
0.17 & 105.024334056123 & 1.73069291984082 \tabularnewline
0.18 & 105.469565484657 & 1.65364285149800 \tabularnewline
0.19 & 105.884821064972 & 1.62661311421216 \tabularnewline
0.2 & 106.282995480953 & 1.63703978999914 \tabularnewline
0.21 & 106.673783575417 & 1.67299067721068 \tabularnewline
0.22 & 107.063972747918 & 1.72496147348841 \tabularnewline
0.23 & 107.457950275934 & 1.78627069585921 \tabularnewline
0.24 & 107.858248801624 & 1.85168802311219 \tabularnewline
0.25 & 108.266017450560 & 1.91724215581535 \tabularnewline
0.26 & 108.681376967849 & 1.97953376745430 \tabularnewline
0.27 & 109.103672293368 & 2.03533477367158 \tabularnewline
0.28 & 109.531662815581 & 2.08208235659571 \tabularnewline
0.29 & 109.963690047283 & 2.11802438563556 \tabularnewline
0.3 & 110.397844781412 & 2.14212990792973 \tabularnewline
0.31 & 110.832133738141 & 2.15458921988721 \tabularnewline
0.32 & 111.264629589743 & 2.15637809340583 \tabularnewline
0.33 & 111.693583280735 & 2.14880670735086 \tabularnewline
0.34 & 112.117483833402 & 2.13357738034032 \tabularnewline
0.35 & 112.535064611002 & 2.11208191223739 \tabularnewline
0.36 & 112.945270648707 & 2.08515633509287 \tabularnewline
0.37 & 113.347213495419 & 2.05321026096895 \tabularnewline
0.38 & 113.740143961648 & 2.01633011425375 \tabularnewline
0.39 & 114.123467749231 & 1.97492186346980 \tabularnewline
0.4 & 114.496815485859 & 1.92991443148797 \tabularnewline
0.41 & 114.860160842611 & 1.88322188440277 \tabularnewline
0.42 & 115.213963018303 & 1.83806070749691 \tabularnewline
0.43 & 115.559297634035 & 1.79853998870717 \tabularnewline
0.44 & 115.897936352503 & 1.76950958754865 \tabularnewline
0.45 & 116.232341548293 & 1.75556135272774 \tabularnewline
0.46 & 116.565556990127 & 1.76047985491243 \tabularnewline
0.47 & 116.900995630804 & 1.7861929862364 \tabularnewline
0.48 & 117.24214687998 & 1.83233799220338 \tabularnewline
0.49 & 117.592243584222 & 1.89597033202889 \tabularnewline
0.5 & 117.953939592478 & 1.97200000435021 \tabularnewline
0.51 & 118.329050103486 & 2.05448711846396 \tabularnewline
0.52 & 118.718398876981 & 2.13638029912432 \tabularnewline
0.53 & 119.121800689911 & 2.2119579132678 \tabularnewline
0.54 & 119.538187336911 & 2.27616163131358 \tabularnewline
0.55 & 119.965864665543 & 2.32638199339282 \tabularnewline
0.56 & 120.402869775718 & 2.36201891657731 \tabularnewline
0.57 & 120.847383661545 & 2.38505612772105 \tabularnewline
0.58 & 121.298146071984 & 2.39994772913525 \tabularnewline
0.59 & 121.754816244286 & 2.41283697009066 \tabularnewline
0.6 & 122.218225338125 & 2.43110174713371 \tabularnewline
0.61 & 122.690474239862 & 2.46267676562899 \tabularnewline
0.62 & 123.174844790162 & 2.51470892767531 \tabularnewline
0.63 & 123.675514154632 & 2.59170273971378 \tabularnewline
0.64 & 124.197090486825 & 2.69498393880741 \tabularnewline
0.65 & 124.7440203707 & 2.82171645375806 \tabularnewline
0.66 & 125.319949236106 & 2.96490624989507 \tabularnewline
0.67 & 125.927137664957 & 3.11435070365294 \tabularnewline
0.68 & 126.566042175202 & 3.25798892808634 \tabularnewline
0.69 & 127.235154566026 & 3.3842020201689 \tabularnewline
0.7 & 127.931160201486 & 3.48300870060666 \tabularnewline
0.71 & 128.649429179937 & 3.54811779657392 \tabularnewline
0.72 & 129.384805220868 & 3.57835113243986 \tabularnewline
0.73 & 130.132614941918 & 3.57778992281664 \tabularnewline
0.74 & 130.889789800085 & 3.55632186463794 \tabularnewline
0.75 & 131.655971642558 & 3.52849983759605 \tabularnewline
0.76 & 132.434451692214 & 3.51333692887464 \tabularnewline
0.77 & 133.232763086375 & 3.53191743025437 \tabularnewline
0.78 & 134.062709905825 & 3.60541905777160 \tabularnewline
0.79 & 134.939591374189 & 3.75044568958433 \tabularnewline
0.8 & 135.880410979688 & 3.97300502406299 \tabularnewline
0.81 & 136.901000752987 & 4.26318279934277 \tabularnewline
0.82 & 138.012280161484 & 4.59177689385811 \tabularnewline
0.83 & 139.216293526648 & 4.91142890988826 \tabularnewline
0.84 & 140.503127922171 & 5.16280574779403 \tabularnewline
0.85 & 141.850106150019 & 5.28727181844273 \tabularnewline
0.86 & 143.224520106332 & 5.24228304141471 \tabularnewline
0.87 & 144.59040430138 & 5.01816235476633 \tabularnewline
0.88 & 145.918421051366 & 4.64883386264344 \tabularnewline
0.89 & 147.196149840971 & 4.21363992041793 \tabularnewline
0.9 & 148.434680939289 & 3.8231086617205 \tabularnewline
0.91 & 149.667484686955 & 3.58264330343017 \tabularnewline
0.92 & 150.940037791676 & 3.53278150862863 \tabularnewline
0.93 & 152.293510006550 & 3.607790031196 \tabularnewline
0.94 & 153.750379198075 & 3.67435884485758 \tabularnewline
0.95 & 155.308980066481 & 3.62514258375545 \tabularnewline
0.96 & 156.943892397940 & 3.44089163644075 \tabularnewline
0.97 & 158.595907175836 & 3.12946108980588 \tabularnewline
0.98 & 160.139417457546 & 2.5774202324363 \tabularnewline
0.99 & 161.355481373264 & 1.69982786451222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77783&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]85.3125049196298[/C][C]3.44409752999189[/C][/ROW]
[ROW][C]0.02[/C][C]87.4291573518554[/C][C]3.86884846947348[/C][/ROW]
[ROW][C]0.03[/C][C]89.6753933828942[/C][C]3.72889395227487[/C][/ROW]
[ROW][C]0.04[/C][C]91.6661832985925[/C][C]3.31207331773814[/C][/ROW]
[ROW][C]0.05[/C][C]93.3340287802902[/C][C]3.08172727693859[/C][/ROW]
[ROW][C]0.06[/C][C]94.7691618070737[/C][C]3.15836203732887[/C][/ROW]
[ROW][C]0.07[/C][C]96.082058362181[/C][C]3.3757250635793[/C][/ROW]
[ROW][C]0.08[/C][C]97.338904345015[/C][C]3.55190687008554[/C][/ROW]
[ROW][C]0.09[/C][C]98.55448329255[/C][C]3.59305159641236[/C][/ROW]
[ROW][C]0.1[/C][C]99.7116097995008[/C][C]3.48320144640705[/C][/ROW]
[ROW][C]0.11[/C][C]100.783666369693[/C][C]3.25351046973874[/C][/ROW]
[ROW][C]0.12[/C][C]101.749680776943[/C][C]2.95374380059523[/C][/ROW]
[ROW][C]0.13[/C][C]102.600594541458[/C][C]2.63261643480188[/C][/ROW]
[ROW][C]0.14[/C][C]103.339333125421[/C][C]2.32887342852077[/C][/ROW]
[ROW][C]0.15[/C][C]103.977815946820[/C][C]2.06889716273217[/C][/ROW]
[ROW][C]0.16[/C][C]104.533167394625[/C][C]1.86780160950326[/C][/ROW]
[ROW][C]0.17[/C][C]105.024334056123[/C][C]1.73069291984082[/C][/ROW]
[ROW][C]0.18[/C][C]105.469565484657[/C][C]1.65364285149800[/C][/ROW]
[ROW][C]0.19[/C][C]105.884821064972[/C][C]1.62661311421216[/C][/ROW]
[ROW][C]0.2[/C][C]106.282995480953[/C][C]1.63703978999914[/C][/ROW]
[ROW][C]0.21[/C][C]106.673783575417[/C][C]1.67299067721068[/C][/ROW]
[ROW][C]0.22[/C][C]107.063972747918[/C][C]1.72496147348841[/C][/ROW]
[ROW][C]0.23[/C][C]107.457950275934[/C][C]1.78627069585921[/C][/ROW]
[ROW][C]0.24[/C][C]107.858248801624[/C][C]1.85168802311219[/C][/ROW]
[ROW][C]0.25[/C][C]108.266017450560[/C][C]1.91724215581535[/C][/ROW]
[ROW][C]0.26[/C][C]108.681376967849[/C][C]1.97953376745430[/C][/ROW]
[ROW][C]0.27[/C][C]109.103672293368[/C][C]2.03533477367158[/C][/ROW]
[ROW][C]0.28[/C][C]109.531662815581[/C][C]2.08208235659571[/C][/ROW]
[ROW][C]0.29[/C][C]109.963690047283[/C][C]2.11802438563556[/C][/ROW]
[ROW][C]0.3[/C][C]110.397844781412[/C][C]2.14212990792973[/C][/ROW]
[ROW][C]0.31[/C][C]110.832133738141[/C][C]2.15458921988721[/C][/ROW]
[ROW][C]0.32[/C][C]111.264629589743[/C][C]2.15637809340583[/C][/ROW]
[ROW][C]0.33[/C][C]111.693583280735[/C][C]2.14880670735086[/C][/ROW]
[ROW][C]0.34[/C][C]112.117483833402[/C][C]2.13357738034032[/C][/ROW]
[ROW][C]0.35[/C][C]112.535064611002[/C][C]2.11208191223739[/C][/ROW]
[ROW][C]0.36[/C][C]112.945270648707[/C][C]2.08515633509287[/C][/ROW]
[ROW][C]0.37[/C][C]113.347213495419[/C][C]2.05321026096895[/C][/ROW]
[ROW][C]0.38[/C][C]113.740143961648[/C][C]2.01633011425375[/C][/ROW]
[ROW][C]0.39[/C][C]114.123467749231[/C][C]1.97492186346980[/C][/ROW]
[ROW][C]0.4[/C][C]114.496815485859[/C][C]1.92991443148797[/C][/ROW]
[ROW][C]0.41[/C][C]114.860160842611[/C][C]1.88322188440277[/C][/ROW]
[ROW][C]0.42[/C][C]115.213963018303[/C][C]1.83806070749691[/C][/ROW]
[ROW][C]0.43[/C][C]115.559297634035[/C][C]1.79853998870717[/C][/ROW]
[ROW][C]0.44[/C][C]115.897936352503[/C][C]1.76950958754865[/C][/ROW]
[ROW][C]0.45[/C][C]116.232341548293[/C][C]1.75556135272774[/C][/ROW]
[ROW][C]0.46[/C][C]116.565556990127[/C][C]1.76047985491243[/C][/ROW]
[ROW][C]0.47[/C][C]116.900995630804[/C][C]1.7861929862364[/C][/ROW]
[ROW][C]0.48[/C][C]117.24214687998[/C][C]1.83233799220338[/C][/ROW]
[ROW][C]0.49[/C][C]117.592243584222[/C][C]1.89597033202889[/C][/ROW]
[ROW][C]0.5[/C][C]117.953939592478[/C][C]1.97200000435021[/C][/ROW]
[ROW][C]0.51[/C][C]118.329050103486[/C][C]2.05448711846396[/C][/ROW]
[ROW][C]0.52[/C][C]118.718398876981[/C][C]2.13638029912432[/C][/ROW]
[ROW][C]0.53[/C][C]119.121800689911[/C][C]2.2119579132678[/C][/ROW]
[ROW][C]0.54[/C][C]119.538187336911[/C][C]2.27616163131358[/C][/ROW]
[ROW][C]0.55[/C][C]119.965864665543[/C][C]2.32638199339282[/C][/ROW]
[ROW][C]0.56[/C][C]120.402869775718[/C][C]2.36201891657731[/C][/ROW]
[ROW][C]0.57[/C][C]120.847383661545[/C][C]2.38505612772105[/C][/ROW]
[ROW][C]0.58[/C][C]121.298146071984[/C][C]2.39994772913525[/C][/ROW]
[ROW][C]0.59[/C][C]121.754816244286[/C][C]2.41283697009066[/C][/ROW]
[ROW][C]0.6[/C][C]122.218225338125[/C][C]2.43110174713371[/C][/ROW]
[ROW][C]0.61[/C][C]122.690474239862[/C][C]2.46267676562899[/C][/ROW]
[ROW][C]0.62[/C][C]123.174844790162[/C][C]2.51470892767531[/C][/ROW]
[ROW][C]0.63[/C][C]123.675514154632[/C][C]2.59170273971378[/C][/ROW]
[ROW][C]0.64[/C][C]124.197090486825[/C][C]2.69498393880741[/C][/ROW]
[ROW][C]0.65[/C][C]124.7440203707[/C][C]2.82171645375806[/C][/ROW]
[ROW][C]0.66[/C][C]125.319949236106[/C][C]2.96490624989507[/C][/ROW]
[ROW][C]0.67[/C][C]125.927137664957[/C][C]3.11435070365294[/C][/ROW]
[ROW][C]0.68[/C][C]126.566042175202[/C][C]3.25798892808634[/C][/ROW]
[ROW][C]0.69[/C][C]127.235154566026[/C][C]3.3842020201689[/C][/ROW]
[ROW][C]0.7[/C][C]127.931160201486[/C][C]3.48300870060666[/C][/ROW]
[ROW][C]0.71[/C][C]128.649429179937[/C][C]3.54811779657392[/C][/ROW]
[ROW][C]0.72[/C][C]129.384805220868[/C][C]3.57835113243986[/C][/ROW]
[ROW][C]0.73[/C][C]130.132614941918[/C][C]3.57778992281664[/C][/ROW]
[ROW][C]0.74[/C][C]130.889789800085[/C][C]3.55632186463794[/C][/ROW]
[ROW][C]0.75[/C][C]131.655971642558[/C][C]3.52849983759605[/C][/ROW]
[ROW][C]0.76[/C][C]132.434451692214[/C][C]3.51333692887464[/C][/ROW]
[ROW][C]0.77[/C][C]133.232763086375[/C][C]3.53191743025437[/C][/ROW]
[ROW][C]0.78[/C][C]134.062709905825[/C][C]3.60541905777160[/C][/ROW]
[ROW][C]0.79[/C][C]134.939591374189[/C][C]3.75044568958433[/C][/ROW]
[ROW][C]0.8[/C][C]135.880410979688[/C][C]3.97300502406299[/C][/ROW]
[ROW][C]0.81[/C][C]136.901000752987[/C][C]4.26318279934277[/C][/ROW]
[ROW][C]0.82[/C][C]138.012280161484[/C][C]4.59177689385811[/C][/ROW]
[ROW][C]0.83[/C][C]139.216293526648[/C][C]4.91142890988826[/C][/ROW]
[ROW][C]0.84[/C][C]140.503127922171[/C][C]5.16280574779403[/C][/ROW]
[ROW][C]0.85[/C][C]141.850106150019[/C][C]5.28727181844273[/C][/ROW]
[ROW][C]0.86[/C][C]143.224520106332[/C][C]5.24228304141471[/C][/ROW]
[ROW][C]0.87[/C][C]144.59040430138[/C][C]5.01816235476633[/C][/ROW]
[ROW][C]0.88[/C][C]145.918421051366[/C][C]4.64883386264344[/C][/ROW]
[ROW][C]0.89[/C][C]147.196149840971[/C][C]4.21363992041793[/C][/ROW]
[ROW][C]0.9[/C][C]148.434680939289[/C][C]3.8231086617205[/C][/ROW]
[ROW][C]0.91[/C][C]149.667484686955[/C][C]3.58264330343017[/C][/ROW]
[ROW][C]0.92[/C][C]150.940037791676[/C][C]3.53278150862863[/C][/ROW]
[ROW][C]0.93[/C][C]152.293510006550[/C][C]3.607790031196[/C][/ROW]
[ROW][C]0.94[/C][C]153.750379198075[/C][C]3.67435884485758[/C][/ROW]
[ROW][C]0.95[/C][C]155.308980066481[/C][C]3.62514258375545[/C][/ROW]
[ROW][C]0.96[/C][C]156.943892397940[/C][C]3.44089163644075[/C][/ROW]
[ROW][C]0.97[/C][C]158.595907175836[/C][C]3.12946108980588[/C][/ROW]
[ROW][C]0.98[/C][C]160.139417457546[/C][C]2.5774202324363[/C][/ROW]
[ROW][C]0.99[/C][C]161.355481373264[/C][C]1.69982786451222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77783&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77783&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
0.0185.31250491962983.44409752999189
0.0287.42915735185543.86884846947348
0.0389.67539338289423.72889395227487
0.0491.66618329859253.31207331773814
0.0593.33402878029023.08172727693859
0.0694.76916180707373.15836203732887
0.0796.0820583621813.3757250635793
0.0897.3389043450153.55190687008554
0.0998.554483292553.59305159641236
0.199.71160979950083.48320144640705
0.11100.7836663696933.25351046973874
0.12101.7496807769432.95374380059523
0.13102.6005945414582.63261643480188
0.14103.3393331254212.32887342852077
0.15103.9778159468202.06889716273217
0.16104.5331673946251.86780160950326
0.17105.0243340561231.73069291984082
0.18105.4695654846571.65364285149800
0.19105.8848210649721.62661311421216
0.2106.2829954809531.63703978999914
0.21106.6737835754171.67299067721068
0.22107.0639727479181.72496147348841
0.23107.4579502759341.78627069585921
0.24107.8582488016241.85168802311219
0.25108.2660174505601.91724215581535
0.26108.6813769678491.97953376745430
0.27109.1036722933682.03533477367158
0.28109.5316628155812.08208235659571
0.29109.9636900472832.11802438563556
0.3110.3978447814122.14212990792973
0.31110.8321337381412.15458921988721
0.32111.2646295897432.15637809340583
0.33111.6935832807352.14880670735086
0.34112.1174838334022.13357738034032
0.35112.5350646110022.11208191223739
0.36112.9452706487072.08515633509287
0.37113.3472134954192.05321026096895
0.38113.7401439616482.01633011425375
0.39114.1234677492311.97492186346980
0.4114.4968154858591.92991443148797
0.41114.8601608426111.88322188440277
0.42115.2139630183031.83806070749691
0.43115.5592976340351.79853998870717
0.44115.8979363525031.76950958754865
0.45116.2323415482931.75556135272774
0.46116.5655569901271.76047985491243
0.47116.9009956308041.7861929862364
0.48117.242146879981.83233799220338
0.49117.5922435842221.89597033202889
0.5117.9539395924781.97200000435021
0.51118.3290501034862.05448711846396
0.52118.7183988769812.13638029912432
0.53119.1218006899112.2119579132678
0.54119.5381873369112.27616163131358
0.55119.9658646655432.32638199339282
0.56120.4028697757182.36201891657731
0.57120.8473836615452.38505612772105
0.58121.2981460719842.39994772913525
0.59121.7548162442862.41283697009066
0.6122.2182253381252.43110174713371
0.61122.6904742398622.46267676562899
0.62123.1748447901622.51470892767531
0.63123.6755141546322.59170273971378
0.64124.1970904868252.69498393880741
0.65124.74402037072.82171645375806
0.66125.3199492361062.96490624989507
0.67125.9271376649573.11435070365294
0.68126.5660421752023.25798892808634
0.69127.2351545660263.3842020201689
0.7127.9311602014863.48300870060666
0.71128.6494291799373.54811779657392
0.72129.3848052208683.57835113243986
0.73130.1326149419183.57778992281664
0.74130.8897898000853.55632186463794
0.75131.6559716425583.52849983759605
0.76132.4344516922143.51333692887464
0.77133.2327630863753.53191743025437
0.78134.0627099058253.60541905777160
0.79134.9395913741893.75044568958433
0.8135.8804109796883.97300502406299
0.81136.9010007529874.26318279934277
0.82138.0122801614844.59177689385811
0.83139.2162935266484.91142890988826
0.84140.5031279221715.16280574779403
0.85141.8501061500195.28727181844273
0.86143.2245201063325.24228304141471
0.87144.590404301385.01816235476633
0.88145.9184210513664.64883386264344
0.89147.1961498409714.21363992041793
0.9148.4346809392893.8231086617205
0.91149.6674846869553.58264330343017
0.92150.9400377916763.53278150862863
0.93152.2935100065503.607790031196
0.94153.7503791980753.67435884485758
0.95155.3089800664813.62514258375545
0.96156.9438923979403.44089163644075
0.97158.5959071758363.12946108980588
0.98160.1394174575462.5774202324363
0.99161.3554813732641.69982786451222


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')