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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, 05 Oct 2014 14:01:02 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/05/t1412514201izu3ndrm263024u.htm/, Retrieved Sat, 11 May 2024 17:12:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238761, Retrieved Sat, 11 May 2024 17:12:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact58

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] [Percentielen invo...] [2014-10-05 13:01:02] [115da6a797a228c0404960d99697d46c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
219
231
247
259
278
289
252
224
242
303
305
283
259
224
252
273
252
265
285
224
283
279
296
269
252
226
259
301
260
282
311
263
276
296
310
290
273
267
302
322
314
300
316
299
295
340
333
316
294
309
354
335
313
338
357
324
296
378
343
301
309
271
308
326
336
310
335
298
288
319
328
315

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238761&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238761&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238761&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01220.2864240590933.80304096816724
0.02222.0044553958912.63041544005466
0.03223.6366454871842.53406657477378
0.04225.2331144658743.76527707538373
0.05227.0780293909365.63338732209501
0.06229.3695316821287.54902154578592
0.07232.1204229561639.07632462239975
0.08235.1958228432849.94929582987109
0.09238.39175869739210.1035914933848
0.1241.5068136627439.6511270639708
0.11244.3892691281578.80933033053288
0.12246.9565340663067.82139906926187
0.13249.191650728186.89271579804312
0.14251.1258608702246.1543470666321
0.15252.8167142534255.65426207493715
0.16254.3288623495125.37350043387542
0.17255.7211475926615.25943602086018
0.18257.0404040319985.2566750015994
0.19258.3203879351265.32396968991863
0.2259.5835881008915.43476439339257
0.21260.8439717080355.57170832840766
0.22262.1094777058115.72102579373677
0.23263.3838253569235.86988925441666
0.24264.667706013866.00718102883135
0.25265.9596191907146.12417233067596
0.26267.2565819934536.21571179317395
0.27268.554812924726.28067356260141
0.28269.8503734069446.32186332281656
0.29271.1396955205926.34267988118433
0.3272.419933587946.3494367779513
0.31273.6891218623536.3464561502655
0.32274.9461669537946.33757651127734
0.33276.1907292508016.32566539079027
0.34277.4230468340916.31259782155263
0.35278.6437361949386.30055198506532
0.36279.8535806134786.28949390114032
0.37281.0533020913426.27982652996507
0.38282.2433127468186.26916470782009
0.39283.4234553395226.25416719220489
0.4284.5927628214946.22997225669909
0.41285.7492836956296.19005882333397
0.42286.8900250106226.12668936514732
0.43288.0110538339266.03470298411656
0.44289.1077723720455.91019805896417
0.45290.1753478253215.75153136888689
0.46291.2092446269115.56284803367312
0.47292.2057828735335.35022297803834
0.48293.1626386518695.12365281324973
0.49294.0792112215944.89417109124707
0.5294.9568054912314.67509223870836
0.51295.7986092528484.4771892734735
0.52296.6094753277594.31128511662835
0.53297.3955425341194.18263028139256
0.54298.163742886874.09631166372324
0.55298.9212462541254.05127185668396
0.56299.6748914464924.04425877933304
0.57300.4306490657564.06862781257478
0.58301.1931597104284.11477490110201
0.59301.9653915942144.17179354326291
0.6302.7484612039014.22794846981213
0.61303.5416542799534.27220162731391
0.62304.3426677647884.29534291949127
0.63305.1480654338464.29099899946031
0.64305.9539047213784.25701642110554
0.65306.7564583951294.19723294613432
0.66307.5529328188264.11888512922239
0.67308.3420831078724.03246583310481
0.68309.1246471118823.95056172753483
0.69309.9035594482423.88621634809185
0.7310.6839514546553.8510258102912
0.71311.4729778965513.85396156947773
0.72312.2795247382093.90091240885557
0.73313.1138408883213.99624971597751
0.74313.9871076166354.1419398869103
0.75314.9109271191054.3370230233943
0.76315.8966924488284.57784124636838
0.77316.9548043759034.8563079191263
0.78318.0937259478575.15968981850376
0.79319.318903925295.47039547786633
0.8320.6316297046915.76734153761222
0.81322.0279620937786.02557871988624
0.82323.4979021558746.21991753380534
0.83325.0251060537536.32440993022631
0.84326.5875309382956.31703905406298
0.85328.159477101346.18397234673223
0.86329.7154345780095.92558359371179
0.87331.2358997402615.56449328621497
0.88332.7149003319085.15087396116591
0.89334.1684178540854.76454728885905
0.9335.6422483516274.51327896782645
0.91337.217037924864.51689413702722
0.92339.0075434783084.87199017268929
0.93341.1544478403385.59593624093606
0.94343.8145765453226.58129629699781
0.95347.1707011437737.61215743950345
0.96351.4836948892198.54561073223837
0.97357.1272094827929.76418621678045
0.98364.32304176409112.3973534438879
0.99372.2229640527216.7862594698329

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 220.286424059093 & 3.80304096816724 \tabularnewline
0.02 & 222.004455395891 & 2.63041544005466 \tabularnewline
0.03 & 223.636645487184 & 2.53406657477378 \tabularnewline
0.04 & 225.233114465874 & 3.76527707538373 \tabularnewline
0.05 & 227.078029390936 & 5.63338732209501 \tabularnewline
0.06 & 229.369531682128 & 7.54902154578592 \tabularnewline
0.07 & 232.120422956163 & 9.07632462239975 \tabularnewline
0.08 & 235.195822843284 & 9.94929582987109 \tabularnewline
0.09 & 238.391758697392 & 10.1035914933848 \tabularnewline
0.1 & 241.506813662743 & 9.6511270639708 \tabularnewline
0.11 & 244.389269128157 & 8.80933033053288 \tabularnewline
0.12 & 246.956534066306 & 7.82139906926187 \tabularnewline
0.13 & 249.19165072818 & 6.89271579804312 \tabularnewline
0.14 & 251.125860870224 & 6.1543470666321 \tabularnewline
0.15 & 252.816714253425 & 5.65426207493715 \tabularnewline
0.16 & 254.328862349512 & 5.37350043387542 \tabularnewline
0.17 & 255.721147592661 & 5.25943602086018 \tabularnewline
0.18 & 257.040404031998 & 5.2566750015994 \tabularnewline
0.19 & 258.320387935126 & 5.32396968991863 \tabularnewline
0.2 & 259.583588100891 & 5.43476439339257 \tabularnewline
0.21 & 260.843971708035 & 5.57170832840766 \tabularnewline
0.22 & 262.109477705811 & 5.72102579373677 \tabularnewline
0.23 & 263.383825356923 & 5.86988925441666 \tabularnewline
0.24 & 264.66770601386 & 6.00718102883135 \tabularnewline
0.25 & 265.959619190714 & 6.12417233067596 \tabularnewline
0.26 & 267.256581993453 & 6.21571179317395 \tabularnewline
0.27 & 268.55481292472 & 6.28067356260141 \tabularnewline
0.28 & 269.850373406944 & 6.32186332281656 \tabularnewline
0.29 & 271.139695520592 & 6.34267988118433 \tabularnewline
0.3 & 272.41993358794 & 6.3494367779513 \tabularnewline
0.31 & 273.689121862353 & 6.3464561502655 \tabularnewline
0.32 & 274.946166953794 & 6.33757651127734 \tabularnewline
0.33 & 276.190729250801 & 6.32566539079027 \tabularnewline
0.34 & 277.423046834091 & 6.31259782155263 \tabularnewline
0.35 & 278.643736194938 & 6.30055198506532 \tabularnewline
0.36 & 279.853580613478 & 6.28949390114032 \tabularnewline
0.37 & 281.053302091342 & 6.27982652996507 \tabularnewline
0.38 & 282.243312746818 & 6.26916470782009 \tabularnewline
0.39 & 283.423455339522 & 6.25416719220489 \tabularnewline
0.4 & 284.592762821494 & 6.22997225669909 \tabularnewline
0.41 & 285.749283695629 & 6.19005882333397 \tabularnewline
0.42 & 286.890025010622 & 6.12668936514732 \tabularnewline
0.43 & 288.011053833926 & 6.03470298411656 \tabularnewline
0.44 & 289.107772372045 & 5.91019805896417 \tabularnewline
0.45 & 290.175347825321 & 5.75153136888689 \tabularnewline
0.46 & 291.209244626911 & 5.56284803367312 \tabularnewline
0.47 & 292.205782873533 & 5.35022297803834 \tabularnewline
0.48 & 293.162638651869 & 5.12365281324973 \tabularnewline
0.49 & 294.079211221594 & 4.89417109124707 \tabularnewline
0.5 & 294.956805491231 & 4.67509223870836 \tabularnewline
0.51 & 295.798609252848 & 4.4771892734735 \tabularnewline
0.52 & 296.609475327759 & 4.31128511662835 \tabularnewline
0.53 & 297.395542534119 & 4.18263028139256 \tabularnewline
0.54 & 298.16374288687 & 4.09631166372324 \tabularnewline
0.55 & 298.921246254125 & 4.05127185668396 \tabularnewline
0.56 & 299.674891446492 & 4.04425877933304 \tabularnewline
0.57 & 300.430649065756 & 4.06862781257478 \tabularnewline
0.58 & 301.193159710428 & 4.11477490110201 \tabularnewline
0.59 & 301.965391594214 & 4.17179354326291 \tabularnewline
0.6 & 302.748461203901 & 4.22794846981213 \tabularnewline
0.61 & 303.541654279953 & 4.27220162731391 \tabularnewline
0.62 & 304.342667764788 & 4.29534291949127 \tabularnewline
0.63 & 305.148065433846 & 4.29099899946031 \tabularnewline
0.64 & 305.953904721378 & 4.25701642110554 \tabularnewline
0.65 & 306.756458395129 & 4.19723294613432 \tabularnewline
0.66 & 307.552932818826 & 4.11888512922239 \tabularnewline
0.67 & 308.342083107872 & 4.03246583310481 \tabularnewline
0.68 & 309.124647111882 & 3.95056172753483 \tabularnewline
0.69 & 309.903559448242 & 3.88621634809185 \tabularnewline
0.7 & 310.683951454655 & 3.8510258102912 \tabularnewline
0.71 & 311.472977896551 & 3.85396156947773 \tabularnewline
0.72 & 312.279524738209 & 3.90091240885557 \tabularnewline
0.73 & 313.113840888321 & 3.99624971597751 \tabularnewline
0.74 & 313.987107616635 & 4.1419398869103 \tabularnewline
0.75 & 314.910927119105 & 4.3370230233943 \tabularnewline
0.76 & 315.896692448828 & 4.57784124636838 \tabularnewline
0.77 & 316.954804375903 & 4.8563079191263 \tabularnewline
0.78 & 318.093725947857 & 5.15968981850376 \tabularnewline
0.79 & 319.31890392529 & 5.47039547786633 \tabularnewline
0.8 & 320.631629704691 & 5.76734153761222 \tabularnewline
0.81 & 322.027962093778 & 6.02557871988624 \tabularnewline
0.82 & 323.497902155874 & 6.21991753380534 \tabularnewline
0.83 & 325.025106053753 & 6.32440993022631 \tabularnewline
0.84 & 326.587530938295 & 6.31703905406298 \tabularnewline
0.85 & 328.15947710134 & 6.18397234673223 \tabularnewline
0.86 & 329.715434578009 & 5.92558359371179 \tabularnewline
0.87 & 331.235899740261 & 5.56449328621497 \tabularnewline
0.88 & 332.714900331908 & 5.15087396116591 \tabularnewline
0.89 & 334.168417854085 & 4.76454728885905 \tabularnewline
0.9 & 335.642248351627 & 4.51327896782645 \tabularnewline
0.91 & 337.21703792486 & 4.51689413702722 \tabularnewline
0.92 & 339.007543478308 & 4.87199017268929 \tabularnewline
0.93 & 341.154447840338 & 5.59593624093606 \tabularnewline
0.94 & 343.814576545322 & 6.58129629699781 \tabularnewline
0.95 & 347.170701143773 & 7.61215743950345 \tabularnewline
0.96 & 351.483694889219 & 8.54561073223837 \tabularnewline
0.97 & 357.127209482792 & 9.76418621678045 \tabularnewline
0.98 & 364.323041764091 & 12.3973534438879 \tabularnewline
0.99 & 372.22296405272 & 16.7862594698329 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238761&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]220.286424059093[/C][C]3.80304096816724[/C][/ROW]
[ROW][C]0.02[/C][C]222.004455395891[/C][C]2.63041544005466[/C][/ROW]
[ROW][C]0.03[/C][C]223.636645487184[/C][C]2.53406657477378[/C][/ROW]
[ROW][C]0.04[/C][C]225.233114465874[/C][C]3.76527707538373[/C][/ROW]
[ROW][C]0.05[/C][C]227.078029390936[/C][C]5.63338732209501[/C][/ROW]
[ROW][C]0.06[/C][C]229.369531682128[/C][C]7.54902154578592[/C][/ROW]
[ROW][C]0.07[/C][C]232.120422956163[/C][C]9.07632462239975[/C][/ROW]
[ROW][C]0.08[/C][C]235.195822843284[/C][C]9.94929582987109[/C][/ROW]
[ROW][C]0.09[/C][C]238.391758697392[/C][C]10.1035914933848[/C][/ROW]
[ROW][C]0.1[/C][C]241.506813662743[/C][C]9.6511270639708[/C][/ROW]
[ROW][C]0.11[/C][C]244.389269128157[/C][C]8.80933033053288[/C][/ROW]
[ROW][C]0.12[/C][C]246.956534066306[/C][C]7.82139906926187[/C][/ROW]
[ROW][C]0.13[/C][C]249.19165072818[/C][C]6.89271579804312[/C][/ROW]
[ROW][C]0.14[/C][C]251.125860870224[/C][C]6.1543470666321[/C][/ROW]
[ROW][C]0.15[/C][C]252.816714253425[/C][C]5.65426207493715[/C][/ROW]
[ROW][C]0.16[/C][C]254.328862349512[/C][C]5.37350043387542[/C][/ROW]
[ROW][C]0.17[/C][C]255.721147592661[/C][C]5.25943602086018[/C][/ROW]
[ROW][C]0.18[/C][C]257.040404031998[/C][C]5.2566750015994[/C][/ROW]
[ROW][C]0.19[/C][C]258.320387935126[/C][C]5.32396968991863[/C][/ROW]
[ROW][C]0.2[/C][C]259.583588100891[/C][C]5.43476439339257[/C][/ROW]
[ROW][C]0.21[/C][C]260.843971708035[/C][C]5.57170832840766[/C][/ROW]
[ROW][C]0.22[/C][C]262.109477705811[/C][C]5.72102579373677[/C][/ROW]
[ROW][C]0.23[/C][C]263.383825356923[/C][C]5.86988925441666[/C][/ROW]
[ROW][C]0.24[/C][C]264.66770601386[/C][C]6.00718102883135[/C][/ROW]
[ROW][C]0.25[/C][C]265.959619190714[/C][C]6.12417233067596[/C][/ROW]
[ROW][C]0.26[/C][C]267.256581993453[/C][C]6.21571179317395[/C][/ROW]
[ROW][C]0.27[/C][C]268.55481292472[/C][C]6.28067356260141[/C][/ROW]
[ROW][C]0.28[/C][C]269.850373406944[/C][C]6.32186332281656[/C][/ROW]
[ROW][C]0.29[/C][C]271.139695520592[/C][C]6.34267988118433[/C][/ROW]
[ROW][C]0.3[/C][C]272.41993358794[/C][C]6.3494367779513[/C][/ROW]
[ROW][C]0.31[/C][C]273.689121862353[/C][C]6.3464561502655[/C][/ROW]
[ROW][C]0.32[/C][C]274.946166953794[/C][C]6.33757651127734[/C][/ROW]
[ROW][C]0.33[/C][C]276.190729250801[/C][C]6.32566539079027[/C][/ROW]
[ROW][C]0.34[/C][C]277.423046834091[/C][C]6.31259782155263[/C][/ROW]
[ROW][C]0.35[/C][C]278.643736194938[/C][C]6.30055198506532[/C][/ROW]
[ROW][C]0.36[/C][C]279.853580613478[/C][C]6.28949390114032[/C][/ROW]
[ROW][C]0.37[/C][C]281.053302091342[/C][C]6.27982652996507[/C][/ROW]
[ROW][C]0.38[/C][C]282.243312746818[/C][C]6.26916470782009[/C][/ROW]
[ROW][C]0.39[/C][C]283.423455339522[/C][C]6.25416719220489[/C][/ROW]
[ROW][C]0.4[/C][C]284.592762821494[/C][C]6.22997225669909[/C][/ROW]
[ROW][C]0.41[/C][C]285.749283695629[/C][C]6.19005882333397[/C][/ROW]
[ROW][C]0.42[/C][C]286.890025010622[/C][C]6.12668936514732[/C][/ROW]
[ROW][C]0.43[/C][C]288.011053833926[/C][C]6.03470298411656[/C][/ROW]
[ROW][C]0.44[/C][C]289.107772372045[/C][C]5.91019805896417[/C][/ROW]
[ROW][C]0.45[/C][C]290.175347825321[/C][C]5.75153136888689[/C][/ROW]
[ROW][C]0.46[/C][C]291.209244626911[/C][C]5.56284803367312[/C][/ROW]
[ROW][C]0.47[/C][C]292.205782873533[/C][C]5.35022297803834[/C][/ROW]
[ROW][C]0.48[/C][C]293.162638651869[/C][C]5.12365281324973[/C][/ROW]
[ROW][C]0.49[/C][C]294.079211221594[/C][C]4.89417109124707[/C][/ROW]
[ROW][C]0.5[/C][C]294.956805491231[/C][C]4.67509223870836[/C][/ROW]
[ROW][C]0.51[/C][C]295.798609252848[/C][C]4.4771892734735[/C][/ROW]
[ROW][C]0.52[/C][C]296.609475327759[/C][C]4.31128511662835[/C][/ROW]
[ROW][C]0.53[/C][C]297.395542534119[/C][C]4.18263028139256[/C][/ROW]
[ROW][C]0.54[/C][C]298.16374288687[/C][C]4.09631166372324[/C][/ROW]
[ROW][C]0.55[/C][C]298.921246254125[/C][C]4.05127185668396[/C][/ROW]
[ROW][C]0.56[/C][C]299.674891446492[/C][C]4.04425877933304[/C][/ROW]
[ROW][C]0.57[/C][C]300.430649065756[/C][C]4.06862781257478[/C][/ROW]
[ROW][C]0.58[/C][C]301.193159710428[/C][C]4.11477490110201[/C][/ROW]
[ROW][C]0.59[/C][C]301.965391594214[/C][C]4.17179354326291[/C][/ROW]
[ROW][C]0.6[/C][C]302.748461203901[/C][C]4.22794846981213[/C][/ROW]
[ROW][C]0.61[/C][C]303.541654279953[/C][C]4.27220162731391[/C][/ROW]
[ROW][C]0.62[/C][C]304.342667764788[/C][C]4.29534291949127[/C][/ROW]
[ROW][C]0.63[/C][C]305.148065433846[/C][C]4.29099899946031[/C][/ROW]
[ROW][C]0.64[/C][C]305.953904721378[/C][C]4.25701642110554[/C][/ROW]
[ROW][C]0.65[/C][C]306.756458395129[/C][C]4.19723294613432[/C][/ROW]
[ROW][C]0.66[/C][C]307.552932818826[/C][C]4.11888512922239[/C][/ROW]
[ROW][C]0.67[/C][C]308.342083107872[/C][C]4.03246583310481[/C][/ROW]
[ROW][C]0.68[/C][C]309.124647111882[/C][C]3.95056172753483[/C][/ROW]
[ROW][C]0.69[/C][C]309.903559448242[/C][C]3.88621634809185[/C][/ROW]
[ROW][C]0.7[/C][C]310.683951454655[/C][C]3.8510258102912[/C][/ROW]
[ROW][C]0.71[/C][C]311.472977896551[/C][C]3.85396156947773[/C][/ROW]
[ROW][C]0.72[/C][C]312.279524738209[/C][C]3.90091240885557[/C][/ROW]
[ROW][C]0.73[/C][C]313.113840888321[/C][C]3.99624971597751[/C][/ROW]
[ROW][C]0.74[/C][C]313.987107616635[/C][C]4.1419398869103[/C][/ROW]
[ROW][C]0.75[/C][C]314.910927119105[/C][C]4.3370230233943[/C][/ROW]
[ROW][C]0.76[/C][C]315.896692448828[/C][C]4.57784124636838[/C][/ROW]
[ROW][C]0.77[/C][C]316.954804375903[/C][C]4.8563079191263[/C][/ROW]
[ROW][C]0.78[/C][C]318.093725947857[/C][C]5.15968981850376[/C][/ROW]
[ROW][C]0.79[/C][C]319.31890392529[/C][C]5.47039547786633[/C][/ROW]
[ROW][C]0.8[/C][C]320.631629704691[/C][C]5.76734153761222[/C][/ROW]
[ROW][C]0.81[/C][C]322.027962093778[/C][C]6.02557871988624[/C][/ROW]
[ROW][C]0.82[/C][C]323.497902155874[/C][C]6.21991753380534[/C][/ROW]
[ROW][C]0.83[/C][C]325.025106053753[/C][C]6.32440993022631[/C][/ROW]
[ROW][C]0.84[/C][C]326.587530938295[/C][C]6.31703905406298[/C][/ROW]
[ROW][C]0.85[/C][C]328.15947710134[/C][C]6.18397234673223[/C][/ROW]
[ROW][C]0.86[/C][C]329.715434578009[/C][C]5.92558359371179[/C][/ROW]
[ROW][C]0.87[/C][C]331.235899740261[/C][C]5.56449328621497[/C][/ROW]
[ROW][C]0.88[/C][C]332.714900331908[/C][C]5.15087396116591[/C][/ROW]
[ROW][C]0.89[/C][C]334.168417854085[/C][C]4.76454728885905[/C][/ROW]
[ROW][C]0.9[/C][C]335.642248351627[/C][C]4.51327896782645[/C][/ROW]
[ROW][C]0.91[/C][C]337.21703792486[/C][C]4.51689413702722[/C][/ROW]
[ROW][C]0.92[/C][C]339.007543478308[/C][C]4.87199017268929[/C][/ROW]
[ROW][C]0.93[/C][C]341.154447840338[/C][C]5.59593624093606[/C][/ROW]
[ROW][C]0.94[/C][C]343.814576545322[/C][C]6.58129629699781[/C][/ROW]
[ROW][C]0.95[/C][C]347.170701143773[/C][C]7.61215743950345[/C][/ROW]
[ROW][C]0.96[/C][C]351.483694889219[/C][C]8.54561073223837[/C][/ROW]
[ROW][C]0.97[/C][C]357.127209482792[/C][C]9.76418621678045[/C][/ROW]
[ROW][C]0.98[/C][C]364.323041764091[/C][C]12.3973534438879[/C][/ROW]
[ROW][C]0.99[/C][C]372.22296405272[/C][C]16.7862594698329[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238761&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238761&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
0.01220.2864240590933.80304096816724
0.02222.0044553958912.63041544005466
0.03223.6366454871842.53406657477378
0.04225.2331144658743.76527707538373
0.05227.0780293909365.63338732209501
0.06229.3695316821287.54902154578592
0.07232.1204229561639.07632462239975
0.08235.1958228432849.94929582987109
0.09238.39175869739210.1035914933848
0.1241.5068136627439.6511270639708
0.11244.3892691281578.80933033053288
0.12246.9565340663067.82139906926187
0.13249.191650728186.89271579804312
0.14251.1258608702246.1543470666321
0.15252.8167142534255.65426207493715
0.16254.3288623495125.37350043387542
0.17255.7211475926615.25943602086018
0.18257.0404040319985.2566750015994
0.19258.3203879351265.32396968991863
0.2259.5835881008915.43476439339257
0.21260.8439717080355.57170832840766
0.22262.1094777058115.72102579373677
0.23263.3838253569235.86988925441666
0.24264.667706013866.00718102883135
0.25265.9596191907146.12417233067596
0.26267.2565819934536.21571179317395
0.27268.554812924726.28067356260141
0.28269.8503734069446.32186332281656
0.29271.1396955205926.34267988118433
0.3272.419933587946.3494367779513
0.31273.6891218623536.3464561502655
0.32274.9461669537946.33757651127734
0.33276.1907292508016.32566539079027
0.34277.4230468340916.31259782155263
0.35278.6437361949386.30055198506532
0.36279.8535806134786.28949390114032
0.37281.0533020913426.27982652996507
0.38282.2433127468186.26916470782009
0.39283.4234553395226.25416719220489
0.4284.5927628214946.22997225669909
0.41285.7492836956296.19005882333397
0.42286.8900250106226.12668936514732
0.43288.0110538339266.03470298411656
0.44289.1077723720455.91019805896417
0.45290.1753478253215.75153136888689
0.46291.2092446269115.56284803367312
0.47292.2057828735335.35022297803834
0.48293.1626386518695.12365281324973
0.49294.0792112215944.89417109124707
0.5294.9568054912314.67509223870836
0.51295.7986092528484.4771892734735
0.52296.6094753277594.31128511662835
0.53297.3955425341194.18263028139256
0.54298.163742886874.09631166372324
0.55298.9212462541254.05127185668396
0.56299.6748914464924.04425877933304
0.57300.4306490657564.06862781257478
0.58301.1931597104284.11477490110201
0.59301.9653915942144.17179354326291
0.6302.7484612039014.22794846981213
0.61303.5416542799534.27220162731391
0.62304.3426677647884.29534291949127
0.63305.1480654338464.29099899946031
0.64305.9539047213784.25701642110554
0.65306.7564583951294.19723294613432
0.66307.5529328188264.11888512922239
0.67308.3420831078724.03246583310481
0.68309.1246471118823.95056172753483
0.69309.9035594482423.88621634809185
0.7310.6839514546553.8510258102912
0.71311.4729778965513.85396156947773
0.72312.2795247382093.90091240885557
0.73313.1138408883213.99624971597751
0.74313.9871076166354.1419398869103
0.75314.9109271191054.3370230233943
0.76315.8966924488284.57784124636838
0.77316.9548043759034.8563079191263
0.78318.0937259478575.15968981850376
0.79319.318903925295.47039547786633
0.8320.6316297046915.76734153761222
0.81322.0279620937786.02557871988624
0.82323.4979021558746.21991753380534
0.83325.0251060537536.32440993022631
0.84326.5875309382956.31703905406298
0.85328.159477101346.18397234673223
0.86329.7154345780095.92558359371179
0.87331.2358997402615.56449328621497
0.88332.7149003319085.15087396116591
0.89334.1684178540854.76454728885905
0.9335.6422483516274.51327896782645
0.91337.217037924864.51689413702722
0.92339.0075434783084.87199017268929
0.93341.1544478403385.59593624093606
0.94343.8145765453226.58129629699781
0.95347.1707011437737.61215743950345
0.96351.4836948892198.54561073223837
0.97357.1272094827929.76418621678045
0.98364.32304176409112.3973534438879
0.99372.2229640527216.7862594698329


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')