FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 04 Oct 2014 18:21:58 +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/04/t14124434437yus4tcixrtjd98.htm/, Retrieved Mon, 13 May 2024 06:40:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238633, Retrieved Mon, 13 May 2024 06:40:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

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] [] [2014-10-04 17:21:58] [7a6c09eb8232161d54860d64a56e9131] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
324
336
327
302
299
311
315
264
278
278
287
279
324
354
354
360
363
385
412
370
389
395
417
404
456
478
468
437
432
441
449
386
396
394
403
373
409
430
415
392
401
400
447
392
427
444
448
427
480
490
482
490
485
498
544
483
508
529
547
543
608
638
661
650
654
678
725
644
670
662
641
642

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238633&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238633&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238633&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01267.61565851107710.6784943598965
0.02272.4124086323727.29438187203306
0.03276.7857261138256.13437125112919
0.04280.6019010306317.47301867426255
0.05284.3536643240689.69079282550625
0.06288.40156788510411.6999739068817
0.07292.80145799112213.1073121279935
0.08297.42695247257913.912888577422
0.09302.11657117784114.3065891254993
0.1306.75470029982614.5196996829748
0.11311.29192671938614.7434373911042
0.12315.73272449577815.0968278692726
0.13320.11240250169615.6250920730285
0.14324.4749229617416.3043576477673
0.15328.85621002887617.0544648549216
0.16333.27420846912317.7701818035282
0.17337.72553311780318.3491824088277
0.18342.18767250609618.7195932223955
0.19346.62492676463518.8498848384103
0.2350.99578105107418.7480546220178
0.21355.25953858297718.4473547665045
0.22359.38077271504317.9888466938454
0.23363.33120048825717.4083288677815
0.24367.08950863016616.7289788696145
0.25370.64016617835115.9638359338919
0.26373.97225585526415.1213363484988
0.27377.07898133992714.2138421477479
0.28379.95799680266613.2629547601898
0.29382.61227998130812.2998660776233
0.3385.05105825103311.3651829560465
0.31387.29031414863310.503548912324
0.32389.352575200939.75758370847648
0.33391.2659312750269.16058137012755
0.34393.062430177798.73701894789673
0.35394.7761246949328.49636915443826
0.36396.4410695729658.43428024638437
0.37398.0895154487368.53527661385385
0.38399.7504548330938.7760946765227
0.39401.4485796665289.13018776422171
0.4403.2036369402169.56799635048155
0.41405.03012987444110.0606983187745
0.42406.93730502341210.5799126182956
0.43408.92937935935511.1003670902332
0.44411.00598173729711.5966394083894
0.45413.16279805410912.0496539309487
0.46415.39241197764812.4441108424965
0.47417.68532237172112.7708880285125
0.48420.03109817248813.0280448322112
0.49422.41960734562713.220323423722
0.5424.84223416819713.36034727506
0.51427.29298199945813.4651836785433
0.52429.76934853963913.5589446155702
0.53432.27285835694713.6665036602259
0.54434.80914557472713.8134741852436
0.55437.38750297629714.0218753184582
0.56440.01985914268214.3064793204079
0.57442.71921806438714.6715958355283
0.58445.497695479215.1080393003486
0.59448.36440209510715.5913521739807
0.6451.32353278848216.0836543807486
0.61454.37309040948216.5411056241177
0.62457.50466912269516.9182656522259
0.63460.70462126093217.1799967455479
0.64463.95673054011617.3084828196915
0.65467.24623822185617.3134311336021
0.66470.56476971156517.235896456647
0.67473.91545713099617.1501005862446
0.68477.31741944948917.1570961786925
0.69480.80879709550117.3741521460133
0.7484.44775516911817.9183883457145
0.71488.31122926386718.8843929561478
0.72492.49159761018320.3296754737006
0.73497.09179031023122.2657515641392
0.74502.21945321080424.6682148018977
0.75507.98058241910527.4823834209047
0.76514.47256200457430.634801943466
0.77521.77596187427234.0315888909731
0.78529.94413186107837.5450558513059
0.79538.98996551084240.9942223159687
0.8548.87046461405244.1293660867948
0.81559.47179063358846.6307353639106
0.82570.59967581634548.137058251523
0.83581.98125420383448.3099027139343
0.84593.28337336637346.9174279128917
0.85604.14867625597943.9203751107981
0.86614.24483723610639.5195394002363
0.87623.31633015177534.1480025017482
0.88631.22484410469628.395903689722
0.89637.96632337356422.8842924135383
0.9643.66007976227618.1303968902863
0.91648.51643812145214.4406383298882
0.92652.80028414040811.8706747534053
0.93656.81626858033810.2919565976585
0.94660.948166112979.56844513203547
0.95665.7859892519169.7909584185716
0.96672.32661949612411.5561612293688
0.97682.01375062574216.1864374128299
0.98695.92897203899824.9715871616658
0.99712.43442665336736.8172997056435

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 267.615658511077 & 10.6784943598965 \tabularnewline
0.02 & 272.412408632372 & 7.29438187203306 \tabularnewline
0.03 & 276.785726113825 & 6.13437125112919 \tabularnewline
0.04 & 280.601901030631 & 7.47301867426255 \tabularnewline
0.05 & 284.353664324068 & 9.69079282550625 \tabularnewline
0.06 & 288.401567885104 & 11.6999739068817 \tabularnewline
0.07 & 292.801457991122 & 13.1073121279935 \tabularnewline
0.08 & 297.426952472579 & 13.912888577422 \tabularnewline
0.09 & 302.116571177841 & 14.3065891254993 \tabularnewline
0.1 & 306.754700299826 & 14.5196996829748 \tabularnewline
0.11 & 311.291926719386 & 14.7434373911042 \tabularnewline
0.12 & 315.732724495778 & 15.0968278692726 \tabularnewline
0.13 & 320.112402501696 & 15.6250920730285 \tabularnewline
0.14 & 324.47492296174 & 16.3043576477673 \tabularnewline
0.15 & 328.856210028876 & 17.0544648549216 \tabularnewline
0.16 & 333.274208469123 & 17.7701818035282 \tabularnewline
0.17 & 337.725533117803 & 18.3491824088277 \tabularnewline
0.18 & 342.187672506096 & 18.7195932223955 \tabularnewline
0.19 & 346.624926764635 & 18.8498848384103 \tabularnewline
0.2 & 350.995781051074 & 18.7480546220178 \tabularnewline
0.21 & 355.259538582977 & 18.4473547665045 \tabularnewline
0.22 & 359.380772715043 & 17.9888466938454 \tabularnewline
0.23 & 363.331200488257 & 17.4083288677815 \tabularnewline
0.24 & 367.089508630166 & 16.7289788696145 \tabularnewline
0.25 & 370.640166178351 & 15.9638359338919 \tabularnewline
0.26 & 373.972255855264 & 15.1213363484988 \tabularnewline
0.27 & 377.078981339927 & 14.2138421477479 \tabularnewline
0.28 & 379.957996802666 & 13.2629547601898 \tabularnewline
0.29 & 382.612279981308 & 12.2998660776233 \tabularnewline
0.3 & 385.051058251033 & 11.3651829560465 \tabularnewline
0.31 & 387.290314148633 & 10.503548912324 \tabularnewline
0.32 & 389.35257520093 & 9.75758370847648 \tabularnewline
0.33 & 391.265931275026 & 9.16058137012755 \tabularnewline
0.34 & 393.06243017779 & 8.73701894789673 \tabularnewline
0.35 & 394.776124694932 & 8.49636915443826 \tabularnewline
0.36 & 396.441069572965 & 8.43428024638437 \tabularnewline
0.37 & 398.089515448736 & 8.53527661385385 \tabularnewline
0.38 & 399.750454833093 & 8.7760946765227 \tabularnewline
0.39 & 401.448579666528 & 9.13018776422171 \tabularnewline
0.4 & 403.203636940216 & 9.56799635048155 \tabularnewline
0.41 & 405.030129874441 & 10.0606983187745 \tabularnewline
0.42 & 406.937305023412 & 10.5799126182956 \tabularnewline
0.43 & 408.929379359355 & 11.1003670902332 \tabularnewline
0.44 & 411.005981737297 & 11.5966394083894 \tabularnewline
0.45 & 413.162798054109 & 12.0496539309487 \tabularnewline
0.46 & 415.392411977648 & 12.4441108424965 \tabularnewline
0.47 & 417.685322371721 & 12.7708880285125 \tabularnewline
0.48 & 420.031098172488 & 13.0280448322112 \tabularnewline
0.49 & 422.419607345627 & 13.220323423722 \tabularnewline
0.5 & 424.842234168197 & 13.36034727506 \tabularnewline
0.51 & 427.292981999458 & 13.4651836785433 \tabularnewline
0.52 & 429.769348539639 & 13.5589446155702 \tabularnewline
0.53 & 432.272858356947 & 13.6665036602259 \tabularnewline
0.54 & 434.809145574727 & 13.8134741852436 \tabularnewline
0.55 & 437.387502976297 & 14.0218753184582 \tabularnewline
0.56 & 440.019859142682 & 14.3064793204079 \tabularnewline
0.57 & 442.719218064387 & 14.6715958355283 \tabularnewline
0.58 & 445.4976954792 & 15.1080393003486 \tabularnewline
0.59 & 448.364402095107 & 15.5913521739807 \tabularnewline
0.6 & 451.323532788482 & 16.0836543807486 \tabularnewline
0.61 & 454.373090409482 & 16.5411056241177 \tabularnewline
0.62 & 457.504669122695 & 16.9182656522259 \tabularnewline
0.63 & 460.704621260932 & 17.1799967455479 \tabularnewline
0.64 & 463.956730540116 & 17.3084828196915 \tabularnewline
0.65 & 467.246238221856 & 17.3134311336021 \tabularnewline
0.66 & 470.564769711565 & 17.235896456647 \tabularnewline
0.67 & 473.915457130996 & 17.1501005862446 \tabularnewline
0.68 & 477.317419449489 & 17.1570961786925 \tabularnewline
0.69 & 480.808797095501 & 17.3741521460133 \tabularnewline
0.7 & 484.447755169118 & 17.9183883457145 \tabularnewline
0.71 & 488.311229263867 & 18.8843929561478 \tabularnewline
0.72 & 492.491597610183 & 20.3296754737006 \tabularnewline
0.73 & 497.091790310231 & 22.2657515641392 \tabularnewline
0.74 & 502.219453210804 & 24.6682148018977 \tabularnewline
0.75 & 507.980582419105 & 27.4823834209047 \tabularnewline
0.76 & 514.472562004574 & 30.634801943466 \tabularnewline
0.77 & 521.775961874272 & 34.0315888909731 \tabularnewline
0.78 & 529.944131861078 & 37.5450558513059 \tabularnewline
0.79 & 538.989965510842 & 40.9942223159687 \tabularnewline
0.8 & 548.870464614052 & 44.1293660867948 \tabularnewline
0.81 & 559.471790633588 & 46.6307353639106 \tabularnewline
0.82 & 570.599675816345 & 48.137058251523 \tabularnewline
0.83 & 581.981254203834 & 48.3099027139343 \tabularnewline
0.84 & 593.283373366373 & 46.9174279128917 \tabularnewline
0.85 & 604.148676255979 & 43.9203751107981 \tabularnewline
0.86 & 614.244837236106 & 39.5195394002363 \tabularnewline
0.87 & 623.316330151775 & 34.1480025017482 \tabularnewline
0.88 & 631.224844104696 & 28.395903689722 \tabularnewline
0.89 & 637.966323373564 & 22.8842924135383 \tabularnewline
0.9 & 643.660079762276 & 18.1303968902863 \tabularnewline
0.91 & 648.516438121452 & 14.4406383298882 \tabularnewline
0.92 & 652.800284140408 & 11.8706747534053 \tabularnewline
0.93 & 656.816268580338 & 10.2919565976585 \tabularnewline
0.94 & 660.94816611297 & 9.56844513203547 \tabularnewline
0.95 & 665.785989251916 & 9.7909584185716 \tabularnewline
0.96 & 672.326619496124 & 11.5561612293688 \tabularnewline
0.97 & 682.013750625742 & 16.1864374128299 \tabularnewline
0.98 & 695.928972038998 & 24.9715871616658 \tabularnewline
0.99 & 712.434426653367 & 36.8172997056435 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238633&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]267.615658511077[/C][C]10.6784943598965[/C][/ROW]
[ROW][C]0.02[/C][C]272.412408632372[/C][C]7.29438187203306[/C][/ROW]
[ROW][C]0.03[/C][C]276.785726113825[/C][C]6.13437125112919[/C][/ROW]
[ROW][C]0.04[/C][C]280.601901030631[/C][C]7.47301867426255[/C][/ROW]
[ROW][C]0.05[/C][C]284.353664324068[/C][C]9.69079282550625[/C][/ROW]
[ROW][C]0.06[/C][C]288.401567885104[/C][C]11.6999739068817[/C][/ROW]
[ROW][C]0.07[/C][C]292.801457991122[/C][C]13.1073121279935[/C][/ROW]
[ROW][C]0.08[/C][C]297.426952472579[/C][C]13.912888577422[/C][/ROW]
[ROW][C]0.09[/C][C]302.116571177841[/C][C]14.3065891254993[/C][/ROW]
[ROW][C]0.1[/C][C]306.754700299826[/C][C]14.5196996829748[/C][/ROW]
[ROW][C]0.11[/C][C]311.291926719386[/C][C]14.7434373911042[/C][/ROW]
[ROW][C]0.12[/C][C]315.732724495778[/C][C]15.0968278692726[/C][/ROW]
[ROW][C]0.13[/C][C]320.112402501696[/C][C]15.6250920730285[/C][/ROW]
[ROW][C]0.14[/C][C]324.47492296174[/C][C]16.3043576477673[/C][/ROW]
[ROW][C]0.15[/C][C]328.856210028876[/C][C]17.0544648549216[/C][/ROW]
[ROW][C]0.16[/C][C]333.274208469123[/C][C]17.7701818035282[/C][/ROW]
[ROW][C]0.17[/C][C]337.725533117803[/C][C]18.3491824088277[/C][/ROW]
[ROW][C]0.18[/C][C]342.187672506096[/C][C]18.7195932223955[/C][/ROW]
[ROW][C]0.19[/C][C]346.624926764635[/C][C]18.8498848384103[/C][/ROW]
[ROW][C]0.2[/C][C]350.995781051074[/C][C]18.7480546220178[/C][/ROW]
[ROW][C]0.21[/C][C]355.259538582977[/C][C]18.4473547665045[/C][/ROW]
[ROW][C]0.22[/C][C]359.380772715043[/C][C]17.9888466938454[/C][/ROW]
[ROW][C]0.23[/C][C]363.331200488257[/C][C]17.4083288677815[/C][/ROW]
[ROW][C]0.24[/C][C]367.089508630166[/C][C]16.7289788696145[/C][/ROW]
[ROW][C]0.25[/C][C]370.640166178351[/C][C]15.9638359338919[/C][/ROW]
[ROW][C]0.26[/C][C]373.972255855264[/C][C]15.1213363484988[/C][/ROW]
[ROW][C]0.27[/C][C]377.078981339927[/C][C]14.2138421477479[/C][/ROW]
[ROW][C]0.28[/C][C]379.957996802666[/C][C]13.2629547601898[/C][/ROW]
[ROW][C]0.29[/C][C]382.612279981308[/C][C]12.2998660776233[/C][/ROW]
[ROW][C]0.3[/C][C]385.051058251033[/C][C]11.3651829560465[/C][/ROW]
[ROW][C]0.31[/C][C]387.290314148633[/C][C]10.503548912324[/C][/ROW]
[ROW][C]0.32[/C][C]389.35257520093[/C][C]9.75758370847648[/C][/ROW]
[ROW][C]0.33[/C][C]391.265931275026[/C][C]9.16058137012755[/C][/ROW]
[ROW][C]0.34[/C][C]393.06243017779[/C][C]8.73701894789673[/C][/ROW]
[ROW][C]0.35[/C][C]394.776124694932[/C][C]8.49636915443826[/C][/ROW]
[ROW][C]0.36[/C][C]396.441069572965[/C][C]8.43428024638437[/C][/ROW]
[ROW][C]0.37[/C][C]398.089515448736[/C][C]8.53527661385385[/C][/ROW]
[ROW][C]0.38[/C][C]399.750454833093[/C][C]8.7760946765227[/C][/ROW]
[ROW][C]0.39[/C][C]401.448579666528[/C][C]9.13018776422171[/C][/ROW]
[ROW][C]0.4[/C][C]403.203636940216[/C][C]9.56799635048155[/C][/ROW]
[ROW][C]0.41[/C][C]405.030129874441[/C][C]10.0606983187745[/C][/ROW]
[ROW][C]0.42[/C][C]406.937305023412[/C][C]10.5799126182956[/C][/ROW]
[ROW][C]0.43[/C][C]408.929379359355[/C][C]11.1003670902332[/C][/ROW]
[ROW][C]0.44[/C][C]411.005981737297[/C][C]11.5966394083894[/C][/ROW]
[ROW][C]0.45[/C][C]413.162798054109[/C][C]12.0496539309487[/C][/ROW]
[ROW][C]0.46[/C][C]415.392411977648[/C][C]12.4441108424965[/C][/ROW]
[ROW][C]0.47[/C][C]417.685322371721[/C][C]12.7708880285125[/C][/ROW]
[ROW][C]0.48[/C][C]420.031098172488[/C][C]13.0280448322112[/C][/ROW]
[ROW][C]0.49[/C][C]422.419607345627[/C][C]13.220323423722[/C][/ROW]
[ROW][C]0.5[/C][C]424.842234168197[/C][C]13.36034727506[/C][/ROW]
[ROW][C]0.51[/C][C]427.292981999458[/C][C]13.4651836785433[/C][/ROW]
[ROW][C]0.52[/C][C]429.769348539639[/C][C]13.5589446155702[/C][/ROW]
[ROW][C]0.53[/C][C]432.272858356947[/C][C]13.6665036602259[/C][/ROW]
[ROW][C]0.54[/C][C]434.809145574727[/C][C]13.8134741852436[/C][/ROW]
[ROW][C]0.55[/C][C]437.387502976297[/C][C]14.0218753184582[/C][/ROW]
[ROW][C]0.56[/C][C]440.019859142682[/C][C]14.3064793204079[/C][/ROW]
[ROW][C]0.57[/C][C]442.719218064387[/C][C]14.6715958355283[/C][/ROW]
[ROW][C]0.58[/C][C]445.4976954792[/C][C]15.1080393003486[/C][/ROW]
[ROW][C]0.59[/C][C]448.364402095107[/C][C]15.5913521739807[/C][/ROW]
[ROW][C]0.6[/C][C]451.323532788482[/C][C]16.0836543807486[/C][/ROW]
[ROW][C]0.61[/C][C]454.373090409482[/C][C]16.5411056241177[/C][/ROW]
[ROW][C]0.62[/C][C]457.504669122695[/C][C]16.9182656522259[/C][/ROW]
[ROW][C]0.63[/C][C]460.704621260932[/C][C]17.1799967455479[/C][/ROW]
[ROW][C]0.64[/C][C]463.956730540116[/C][C]17.3084828196915[/C][/ROW]
[ROW][C]0.65[/C][C]467.246238221856[/C][C]17.3134311336021[/C][/ROW]
[ROW][C]0.66[/C][C]470.564769711565[/C][C]17.235896456647[/C][/ROW]
[ROW][C]0.67[/C][C]473.915457130996[/C][C]17.1501005862446[/C][/ROW]
[ROW][C]0.68[/C][C]477.317419449489[/C][C]17.1570961786925[/C][/ROW]
[ROW][C]0.69[/C][C]480.808797095501[/C][C]17.3741521460133[/C][/ROW]
[ROW][C]0.7[/C][C]484.447755169118[/C][C]17.9183883457145[/C][/ROW]
[ROW][C]0.71[/C][C]488.311229263867[/C][C]18.8843929561478[/C][/ROW]
[ROW][C]0.72[/C][C]492.491597610183[/C][C]20.3296754737006[/C][/ROW]
[ROW][C]0.73[/C][C]497.091790310231[/C][C]22.2657515641392[/C][/ROW]
[ROW][C]0.74[/C][C]502.219453210804[/C][C]24.6682148018977[/C][/ROW]
[ROW][C]0.75[/C][C]507.980582419105[/C][C]27.4823834209047[/C][/ROW]
[ROW][C]0.76[/C][C]514.472562004574[/C][C]30.634801943466[/C][/ROW]
[ROW][C]0.77[/C][C]521.775961874272[/C][C]34.0315888909731[/C][/ROW]
[ROW][C]0.78[/C][C]529.944131861078[/C][C]37.5450558513059[/C][/ROW]
[ROW][C]0.79[/C][C]538.989965510842[/C][C]40.9942223159687[/C][/ROW]
[ROW][C]0.8[/C][C]548.870464614052[/C][C]44.1293660867948[/C][/ROW]
[ROW][C]0.81[/C][C]559.471790633588[/C][C]46.6307353639106[/C][/ROW]
[ROW][C]0.82[/C][C]570.599675816345[/C][C]48.137058251523[/C][/ROW]
[ROW][C]0.83[/C][C]581.981254203834[/C][C]48.3099027139343[/C][/ROW]
[ROW][C]0.84[/C][C]593.283373366373[/C][C]46.9174279128917[/C][/ROW]
[ROW][C]0.85[/C][C]604.148676255979[/C][C]43.9203751107981[/C][/ROW]
[ROW][C]0.86[/C][C]614.244837236106[/C][C]39.5195394002363[/C][/ROW]
[ROW][C]0.87[/C][C]623.316330151775[/C][C]34.1480025017482[/C][/ROW]
[ROW][C]0.88[/C][C]631.224844104696[/C][C]28.395903689722[/C][/ROW]
[ROW][C]0.89[/C][C]637.966323373564[/C][C]22.8842924135383[/C][/ROW]
[ROW][C]0.9[/C][C]643.660079762276[/C][C]18.1303968902863[/C][/ROW]
[ROW][C]0.91[/C][C]648.516438121452[/C][C]14.4406383298882[/C][/ROW]
[ROW][C]0.92[/C][C]652.800284140408[/C][C]11.8706747534053[/C][/ROW]
[ROW][C]0.93[/C][C]656.816268580338[/C][C]10.2919565976585[/C][/ROW]
[ROW][C]0.94[/C][C]660.94816611297[/C][C]9.56844513203547[/C][/ROW]
[ROW][C]0.95[/C][C]665.785989251916[/C][C]9.7909584185716[/C][/ROW]
[ROW][C]0.96[/C][C]672.326619496124[/C][C]11.5561612293688[/C][/ROW]
[ROW][C]0.97[/C][C]682.013750625742[/C][C]16.1864374128299[/C][/ROW]
[ROW][C]0.98[/C][C]695.928972038998[/C][C]24.9715871616658[/C][/ROW]
[ROW][C]0.99[/C][C]712.434426653367[/C][C]36.8172997056435[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238633&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238633&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
0.01267.61565851107710.6784943598965
0.02272.4124086323727.29438187203306
0.03276.7857261138256.13437125112919
0.04280.6019010306317.47301867426255
0.05284.3536643240689.69079282550625
0.06288.40156788510411.6999739068817
0.07292.80145799112213.1073121279935
0.08297.42695247257913.912888577422
0.09302.11657117784114.3065891254993
0.1306.75470029982614.5196996829748
0.11311.29192671938614.7434373911042
0.12315.73272449577815.0968278692726
0.13320.11240250169615.6250920730285
0.14324.4749229617416.3043576477673
0.15328.85621002887617.0544648549216
0.16333.27420846912317.7701818035282
0.17337.72553311780318.3491824088277
0.18342.18767250609618.7195932223955
0.19346.62492676463518.8498848384103
0.2350.99578105107418.7480546220178
0.21355.25953858297718.4473547665045
0.22359.38077271504317.9888466938454
0.23363.33120048825717.4083288677815
0.24367.08950863016616.7289788696145
0.25370.64016617835115.9638359338919
0.26373.97225585526415.1213363484988
0.27377.07898133992714.2138421477479
0.28379.95799680266613.2629547601898
0.29382.61227998130812.2998660776233
0.3385.05105825103311.3651829560465
0.31387.29031414863310.503548912324
0.32389.352575200939.75758370847648
0.33391.2659312750269.16058137012755
0.34393.062430177798.73701894789673
0.35394.7761246949328.49636915443826
0.36396.4410695729658.43428024638437
0.37398.0895154487368.53527661385385
0.38399.7504548330938.7760946765227
0.39401.4485796665289.13018776422171
0.4403.2036369402169.56799635048155
0.41405.03012987444110.0606983187745
0.42406.93730502341210.5799126182956
0.43408.92937935935511.1003670902332
0.44411.00598173729711.5966394083894
0.45413.16279805410912.0496539309487
0.46415.39241197764812.4441108424965
0.47417.68532237172112.7708880285125
0.48420.03109817248813.0280448322112
0.49422.41960734562713.220323423722
0.5424.84223416819713.36034727506
0.51427.29298199945813.4651836785433
0.52429.76934853963913.5589446155702
0.53432.27285835694713.6665036602259
0.54434.80914557472713.8134741852436
0.55437.38750297629714.0218753184582
0.56440.01985914268214.3064793204079
0.57442.71921806438714.6715958355283
0.58445.497695479215.1080393003486
0.59448.36440209510715.5913521739807
0.6451.32353278848216.0836543807486
0.61454.37309040948216.5411056241177
0.62457.50466912269516.9182656522259
0.63460.70462126093217.1799967455479
0.64463.95673054011617.3084828196915
0.65467.24623822185617.3134311336021
0.66470.56476971156517.235896456647
0.67473.91545713099617.1501005862446
0.68477.31741944948917.1570961786925
0.69480.80879709550117.3741521460133
0.7484.44775516911817.9183883457145
0.71488.31122926386718.8843929561478
0.72492.49159761018320.3296754737006
0.73497.09179031023122.2657515641392
0.74502.21945321080424.6682148018977
0.75507.98058241910527.4823834209047
0.76514.47256200457430.634801943466
0.77521.77596187427234.0315888909731
0.78529.94413186107837.5450558513059
0.79538.98996551084240.9942223159687
0.8548.87046461405244.1293660867948
0.81559.47179063358846.6307353639106
0.82570.59967581634548.137058251523
0.83581.98125420383448.3099027139343
0.84593.28337336637346.9174279128917
0.85604.14867625597943.9203751107981
0.86614.24483723610639.5195394002363
0.87623.31633015177534.1480025017482
0.88631.22484410469628.395903689722
0.89637.96632337356422.8842924135383
0.9643.66007976227618.1303968902863
0.91648.51643812145214.4406383298882
0.92652.80028414040811.8706747534053
0.93656.81626858033810.2919565976585
0.94660.948166112979.56844513203547
0.95665.7859892519169.7909584185716
0.96672.32661949612411.5561612293688
0.97682.01375062574216.1864374128299
0.98695.92897203899824.9715871616658
0.99712.43442665336736.8172997056435


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')