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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 24 Nov 2007 09:06:11 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/24/t11959198520ucxzaaef7qx2hp.htm/, Retrieved Fri, 03 May 2024 08:31:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6350, Retrieved Fri, 03 May 2024 08:31:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper
Estimated Impact199

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] [paper - harrell d...] [2007-11-24 16:06:11] [bc6f4b3171ef71e45fe1433a63d1da08] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
373
371
354
357
363
364
363
358
357
357
380
378
376
380
379
384
392
394
392
396
392
396
419
421
420
418
410
418
426
428
430
424
423
427
441
449
452
462
455
461
461
463
462
456
455
456
472
472
471
465
459
465
468
467
463
460
462
461
476
476
471
453
443
442
444
438
427
424
416
406
431
434
418

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6350&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6350&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6350&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01354.7832726153022.26684338854017
0.02355.8158899746691.53218176132703
0.03356.7632467989381.37735431197731
0.04357.6365497031021.90652749752672
0.05358.5875828301082.73314809258443
0.06359.7289291265393.60106121307275
0.07361.0917330901744.39952723833817
0.08362.6522430215265.09426118627498
0.09364.3645336950315.67512339598021
0.1366.1788395030296.12624012042756
0.11368.0480116741046.42718771228697
0.12369.9297097923436.57210565228998
0.13371.7890150454346.58750518358
0.14373.6019753644636.52770853516186
0.15375.3582940621946.46240689575787
0.16377.061416355566.45418291345448
0.17378.7256344832216.54017153396693
0.18380.3712418045286.72715435373389
0.19382.0194385520286.99460456565917
0.2383.6884997492457.31241627814338
0.21385.3919633442817.65333245953526
0.22387.1387193121258.00371869065592
0.23388.9342336243378.36166317990947
0.24390.7819057570388.73332204669805
0.25392.6837348256179.12177079096552
0.26394.6399210510929.51969233399858
0.27396.6475540543129.90397570468271
0.28398.69894535143510.2379923529432
0.29400.78032674312210.4772748420748
0.3402.87153394829810.5813104570854
0.31404.94699064974710.5196204099989
0.32406.97792164267710.2811910083351
0.33408.9353827651059.87303060295248
0.34410.7934949625929.32305741606254
0.35412.5322497389368.6720761833932
0.36414.1393953183487.96871196427139
0.37415.6111569619097.26314597984706
0.38416.9518134508216.60115910309436
0.39418.1723743072446.01604107758959
0.4419.2887330486485.53059972304869
0.41420.3196965723645.15503071911477
0.42421.2852243514684.89010457147816
0.43422.2050871858774.7286022071384
0.44423.0980140565874.6613710007236
0.45423.9812728817534.67982835283781
0.46424.8705504864864.77486036148965
0.47425.7799680524764.93936758827299
0.48426.7220864664185.16748879313615
0.49427.7078074563985.44977990060761
0.5428.7461425153285.775261805919
0.51429.8438836070216.12997145194493
0.52431.0052525841236.49708600147255
0.53432.2316216345356.8585256612773
0.54433.5213841341377.19693325502315
0.55434.8700205955467.49613648646535
0.56436.2703599258817.74310383591636
0.57437.7129959185177.92682307066381
0.58439.1867947092488.04250739069622
0.59440.6794269408978.08642946060718
0.6442.1778768330368.05709289981052
0.61443.668910069567.95590835575587
0.62445.1395100252167.78555734007815
0.63446.5773048512587.54931450969515
0.64447.9709998515177.25426051139647
0.65449.3108031277966.90880831870363
0.66450.5887992561636.5240866387433
0.67451.7992021453706.11362183521309
0.68452.9384187915995.6905765000519
0.69454.004886584265.26821264872385
0.7454.9987022221494.85618860533429
0.71455.9211230667424.46001401114505
0.72456.7740692944854.08224595475187
0.73457.5597679250823.72164141996437
0.74458.2806490978253.37613361924275
0.75458.9395373247423.04552357453222
0.76459.540095740292.73223359951190
0.77460.0874058850442.4427584103932
0.78460.588522564312.18659700826209
0.79461.0528449297411.97607628778526
0.8461.492188399161.82287111485369
0.81461.9205112528141.73739262892807
0.82462.3533205365771.72315247718616
0.83462.8068287863841.77826529854589
0.84463.2969366063241.89340445512076
0.85463.8380717921322.05504907723046
0.86464.4418456748172.24569576162767
0.87465.1154514115182.4451851865799
0.88465.8598223015282.62857550509706
0.89466.6678885112012.76580090812950
0.9467.52384071632.82472302939918
0.91468.4049564702972.77760172369964
0.92469.2877494564242.61666745790718
0.93470.1589651723632.37023413042394
0.94471.027972606162.11967937743641
0.95471.930159235431.99176737008277
0.96472.9054407937772.05892542374571
0.97473.9446259041172.14766425581746
0.98474.9328144302611.86020836925821
0.99475.6664210206670.979674670777048

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 354.783272615302 & 2.26684338854017 \tabularnewline
0.02 & 355.815889974669 & 1.53218176132703 \tabularnewline
0.03 & 356.763246798938 & 1.37735431197731 \tabularnewline
0.04 & 357.636549703102 & 1.90652749752672 \tabularnewline
0.05 & 358.587582830108 & 2.73314809258443 \tabularnewline
0.06 & 359.728929126539 & 3.60106121307275 \tabularnewline
0.07 & 361.091733090174 & 4.39952723833817 \tabularnewline
0.08 & 362.652243021526 & 5.09426118627498 \tabularnewline
0.09 & 364.364533695031 & 5.67512339598021 \tabularnewline
0.1 & 366.178839503029 & 6.12624012042756 \tabularnewline
0.11 & 368.048011674104 & 6.42718771228697 \tabularnewline
0.12 & 369.929709792343 & 6.57210565228998 \tabularnewline
0.13 & 371.789015045434 & 6.58750518358 \tabularnewline
0.14 & 373.601975364463 & 6.52770853516186 \tabularnewline
0.15 & 375.358294062194 & 6.46240689575787 \tabularnewline
0.16 & 377.06141635556 & 6.45418291345448 \tabularnewline
0.17 & 378.725634483221 & 6.54017153396693 \tabularnewline
0.18 & 380.371241804528 & 6.72715435373389 \tabularnewline
0.19 & 382.019438552028 & 6.99460456565917 \tabularnewline
0.2 & 383.688499749245 & 7.31241627814338 \tabularnewline
0.21 & 385.391963344281 & 7.65333245953526 \tabularnewline
0.22 & 387.138719312125 & 8.00371869065592 \tabularnewline
0.23 & 388.934233624337 & 8.36166317990947 \tabularnewline
0.24 & 390.781905757038 & 8.73332204669805 \tabularnewline
0.25 & 392.683734825617 & 9.12177079096552 \tabularnewline
0.26 & 394.639921051092 & 9.51969233399858 \tabularnewline
0.27 & 396.647554054312 & 9.90397570468271 \tabularnewline
0.28 & 398.698945351435 & 10.2379923529432 \tabularnewline
0.29 & 400.780326743122 & 10.4772748420748 \tabularnewline
0.3 & 402.871533948298 & 10.5813104570854 \tabularnewline
0.31 & 404.946990649747 & 10.5196204099989 \tabularnewline
0.32 & 406.977921642677 & 10.2811910083351 \tabularnewline
0.33 & 408.935382765105 & 9.87303060295248 \tabularnewline
0.34 & 410.793494962592 & 9.32305741606254 \tabularnewline
0.35 & 412.532249738936 & 8.6720761833932 \tabularnewline
0.36 & 414.139395318348 & 7.96871196427139 \tabularnewline
0.37 & 415.611156961909 & 7.26314597984706 \tabularnewline
0.38 & 416.951813450821 & 6.60115910309436 \tabularnewline
0.39 & 418.172374307244 & 6.01604107758959 \tabularnewline
0.4 & 419.288733048648 & 5.53059972304869 \tabularnewline
0.41 & 420.319696572364 & 5.15503071911477 \tabularnewline
0.42 & 421.285224351468 & 4.89010457147816 \tabularnewline
0.43 & 422.205087185877 & 4.7286022071384 \tabularnewline
0.44 & 423.098014056587 & 4.6613710007236 \tabularnewline
0.45 & 423.981272881753 & 4.67982835283781 \tabularnewline
0.46 & 424.870550486486 & 4.77486036148965 \tabularnewline
0.47 & 425.779968052476 & 4.93936758827299 \tabularnewline
0.48 & 426.722086466418 & 5.16748879313615 \tabularnewline
0.49 & 427.707807456398 & 5.44977990060761 \tabularnewline
0.5 & 428.746142515328 & 5.775261805919 \tabularnewline
0.51 & 429.843883607021 & 6.12997145194493 \tabularnewline
0.52 & 431.005252584123 & 6.49708600147255 \tabularnewline
0.53 & 432.231621634535 & 6.8585256612773 \tabularnewline
0.54 & 433.521384134137 & 7.19693325502315 \tabularnewline
0.55 & 434.870020595546 & 7.49613648646535 \tabularnewline
0.56 & 436.270359925881 & 7.74310383591636 \tabularnewline
0.57 & 437.712995918517 & 7.92682307066381 \tabularnewline
0.58 & 439.186794709248 & 8.04250739069622 \tabularnewline
0.59 & 440.679426940897 & 8.08642946060718 \tabularnewline
0.6 & 442.177876833036 & 8.05709289981052 \tabularnewline
0.61 & 443.66891006956 & 7.95590835575587 \tabularnewline
0.62 & 445.139510025216 & 7.78555734007815 \tabularnewline
0.63 & 446.577304851258 & 7.54931450969515 \tabularnewline
0.64 & 447.970999851517 & 7.25426051139647 \tabularnewline
0.65 & 449.310803127796 & 6.90880831870363 \tabularnewline
0.66 & 450.588799256163 & 6.5240866387433 \tabularnewline
0.67 & 451.799202145370 & 6.11362183521309 \tabularnewline
0.68 & 452.938418791599 & 5.6905765000519 \tabularnewline
0.69 & 454.00488658426 & 5.26821264872385 \tabularnewline
0.7 & 454.998702222149 & 4.85618860533429 \tabularnewline
0.71 & 455.921123066742 & 4.46001401114505 \tabularnewline
0.72 & 456.774069294485 & 4.08224595475187 \tabularnewline
0.73 & 457.559767925082 & 3.72164141996437 \tabularnewline
0.74 & 458.280649097825 & 3.37613361924275 \tabularnewline
0.75 & 458.939537324742 & 3.04552357453222 \tabularnewline
0.76 & 459.54009574029 & 2.73223359951190 \tabularnewline
0.77 & 460.087405885044 & 2.4427584103932 \tabularnewline
0.78 & 460.58852256431 & 2.18659700826209 \tabularnewline
0.79 & 461.052844929741 & 1.97607628778526 \tabularnewline
0.8 & 461.49218839916 & 1.82287111485369 \tabularnewline
0.81 & 461.920511252814 & 1.73739262892807 \tabularnewline
0.82 & 462.353320536577 & 1.72315247718616 \tabularnewline
0.83 & 462.806828786384 & 1.77826529854589 \tabularnewline
0.84 & 463.296936606324 & 1.89340445512076 \tabularnewline
0.85 & 463.838071792132 & 2.05504907723046 \tabularnewline
0.86 & 464.441845674817 & 2.24569576162767 \tabularnewline
0.87 & 465.115451411518 & 2.4451851865799 \tabularnewline
0.88 & 465.859822301528 & 2.62857550509706 \tabularnewline
0.89 & 466.667888511201 & 2.76580090812950 \tabularnewline
0.9 & 467.5238407163 & 2.82472302939918 \tabularnewline
0.91 & 468.404956470297 & 2.77760172369964 \tabularnewline
0.92 & 469.287749456424 & 2.61666745790718 \tabularnewline
0.93 & 470.158965172363 & 2.37023413042394 \tabularnewline
0.94 & 471.02797260616 & 2.11967937743641 \tabularnewline
0.95 & 471.93015923543 & 1.99176737008277 \tabularnewline
0.96 & 472.905440793777 & 2.05892542374571 \tabularnewline
0.97 & 473.944625904117 & 2.14766425581746 \tabularnewline
0.98 & 474.932814430261 & 1.86020836925821 \tabularnewline
0.99 & 475.666421020667 & 0.979674670777048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6350&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]354.783272615302[/C][C]2.26684338854017[/C][/ROW]
[ROW][C]0.02[/C][C]355.815889974669[/C][C]1.53218176132703[/C][/ROW]
[ROW][C]0.03[/C][C]356.763246798938[/C][C]1.37735431197731[/C][/ROW]
[ROW][C]0.04[/C][C]357.636549703102[/C][C]1.90652749752672[/C][/ROW]
[ROW][C]0.05[/C][C]358.587582830108[/C][C]2.73314809258443[/C][/ROW]
[ROW][C]0.06[/C][C]359.728929126539[/C][C]3.60106121307275[/C][/ROW]
[ROW][C]0.07[/C][C]361.091733090174[/C][C]4.39952723833817[/C][/ROW]
[ROW][C]0.08[/C][C]362.652243021526[/C][C]5.09426118627498[/C][/ROW]
[ROW][C]0.09[/C][C]364.364533695031[/C][C]5.67512339598021[/C][/ROW]
[ROW][C]0.1[/C][C]366.178839503029[/C][C]6.12624012042756[/C][/ROW]
[ROW][C]0.11[/C][C]368.048011674104[/C][C]6.42718771228697[/C][/ROW]
[ROW][C]0.12[/C][C]369.929709792343[/C][C]6.57210565228998[/C][/ROW]
[ROW][C]0.13[/C][C]371.789015045434[/C][C]6.58750518358[/C][/ROW]
[ROW][C]0.14[/C][C]373.601975364463[/C][C]6.52770853516186[/C][/ROW]
[ROW][C]0.15[/C][C]375.358294062194[/C][C]6.46240689575787[/C][/ROW]
[ROW][C]0.16[/C][C]377.06141635556[/C][C]6.45418291345448[/C][/ROW]
[ROW][C]0.17[/C][C]378.725634483221[/C][C]6.54017153396693[/C][/ROW]
[ROW][C]0.18[/C][C]380.371241804528[/C][C]6.72715435373389[/C][/ROW]
[ROW][C]0.19[/C][C]382.019438552028[/C][C]6.99460456565917[/C][/ROW]
[ROW][C]0.2[/C][C]383.688499749245[/C][C]7.31241627814338[/C][/ROW]
[ROW][C]0.21[/C][C]385.391963344281[/C][C]7.65333245953526[/C][/ROW]
[ROW][C]0.22[/C][C]387.138719312125[/C][C]8.00371869065592[/C][/ROW]
[ROW][C]0.23[/C][C]388.934233624337[/C][C]8.36166317990947[/C][/ROW]
[ROW][C]0.24[/C][C]390.781905757038[/C][C]8.73332204669805[/C][/ROW]
[ROW][C]0.25[/C][C]392.683734825617[/C][C]9.12177079096552[/C][/ROW]
[ROW][C]0.26[/C][C]394.639921051092[/C][C]9.51969233399858[/C][/ROW]
[ROW][C]0.27[/C][C]396.647554054312[/C][C]9.90397570468271[/C][/ROW]
[ROW][C]0.28[/C][C]398.698945351435[/C][C]10.2379923529432[/C][/ROW]
[ROW][C]0.29[/C][C]400.780326743122[/C][C]10.4772748420748[/C][/ROW]
[ROW][C]0.3[/C][C]402.871533948298[/C][C]10.5813104570854[/C][/ROW]
[ROW][C]0.31[/C][C]404.946990649747[/C][C]10.5196204099989[/C][/ROW]
[ROW][C]0.32[/C][C]406.977921642677[/C][C]10.2811910083351[/C][/ROW]
[ROW][C]0.33[/C][C]408.935382765105[/C][C]9.87303060295248[/C][/ROW]
[ROW][C]0.34[/C][C]410.793494962592[/C][C]9.32305741606254[/C][/ROW]
[ROW][C]0.35[/C][C]412.532249738936[/C][C]8.6720761833932[/C][/ROW]
[ROW][C]0.36[/C][C]414.139395318348[/C][C]7.96871196427139[/C][/ROW]
[ROW][C]0.37[/C][C]415.611156961909[/C][C]7.26314597984706[/C][/ROW]
[ROW][C]0.38[/C][C]416.951813450821[/C][C]6.60115910309436[/C][/ROW]
[ROW][C]0.39[/C][C]418.172374307244[/C][C]6.01604107758959[/C][/ROW]
[ROW][C]0.4[/C][C]419.288733048648[/C][C]5.53059972304869[/C][/ROW]
[ROW][C]0.41[/C][C]420.319696572364[/C][C]5.15503071911477[/C][/ROW]
[ROW][C]0.42[/C][C]421.285224351468[/C][C]4.89010457147816[/C][/ROW]
[ROW][C]0.43[/C][C]422.205087185877[/C][C]4.7286022071384[/C][/ROW]
[ROW][C]0.44[/C][C]423.098014056587[/C][C]4.6613710007236[/C][/ROW]
[ROW][C]0.45[/C][C]423.981272881753[/C][C]4.67982835283781[/C][/ROW]
[ROW][C]0.46[/C][C]424.870550486486[/C][C]4.77486036148965[/C][/ROW]
[ROW][C]0.47[/C][C]425.779968052476[/C][C]4.93936758827299[/C][/ROW]
[ROW][C]0.48[/C][C]426.722086466418[/C][C]5.16748879313615[/C][/ROW]
[ROW][C]0.49[/C][C]427.707807456398[/C][C]5.44977990060761[/C][/ROW]
[ROW][C]0.5[/C][C]428.746142515328[/C][C]5.775261805919[/C][/ROW]
[ROW][C]0.51[/C][C]429.843883607021[/C][C]6.12997145194493[/C][/ROW]
[ROW][C]0.52[/C][C]431.005252584123[/C][C]6.49708600147255[/C][/ROW]
[ROW][C]0.53[/C][C]432.231621634535[/C][C]6.8585256612773[/C][/ROW]
[ROW][C]0.54[/C][C]433.521384134137[/C][C]7.19693325502315[/C][/ROW]
[ROW][C]0.55[/C][C]434.870020595546[/C][C]7.49613648646535[/C][/ROW]
[ROW][C]0.56[/C][C]436.270359925881[/C][C]7.74310383591636[/C][/ROW]
[ROW][C]0.57[/C][C]437.712995918517[/C][C]7.92682307066381[/C][/ROW]
[ROW][C]0.58[/C][C]439.186794709248[/C][C]8.04250739069622[/C][/ROW]
[ROW][C]0.59[/C][C]440.679426940897[/C][C]8.08642946060718[/C][/ROW]
[ROW][C]0.6[/C][C]442.177876833036[/C][C]8.05709289981052[/C][/ROW]
[ROW][C]0.61[/C][C]443.66891006956[/C][C]7.95590835575587[/C][/ROW]
[ROW][C]0.62[/C][C]445.139510025216[/C][C]7.78555734007815[/C][/ROW]
[ROW][C]0.63[/C][C]446.577304851258[/C][C]7.54931450969515[/C][/ROW]
[ROW][C]0.64[/C][C]447.970999851517[/C][C]7.25426051139647[/C][/ROW]
[ROW][C]0.65[/C][C]449.310803127796[/C][C]6.90880831870363[/C][/ROW]
[ROW][C]0.66[/C][C]450.588799256163[/C][C]6.5240866387433[/C][/ROW]
[ROW][C]0.67[/C][C]451.799202145370[/C][C]6.11362183521309[/C][/ROW]
[ROW][C]0.68[/C][C]452.938418791599[/C][C]5.6905765000519[/C][/ROW]
[ROW][C]0.69[/C][C]454.00488658426[/C][C]5.26821264872385[/C][/ROW]
[ROW][C]0.7[/C][C]454.998702222149[/C][C]4.85618860533429[/C][/ROW]
[ROW][C]0.71[/C][C]455.921123066742[/C][C]4.46001401114505[/C][/ROW]
[ROW][C]0.72[/C][C]456.774069294485[/C][C]4.08224595475187[/C][/ROW]
[ROW][C]0.73[/C][C]457.559767925082[/C][C]3.72164141996437[/C][/ROW]
[ROW][C]0.74[/C][C]458.280649097825[/C][C]3.37613361924275[/C][/ROW]
[ROW][C]0.75[/C][C]458.939537324742[/C][C]3.04552357453222[/C][/ROW]
[ROW][C]0.76[/C][C]459.54009574029[/C][C]2.73223359951190[/C][/ROW]
[ROW][C]0.77[/C][C]460.087405885044[/C][C]2.4427584103932[/C][/ROW]
[ROW][C]0.78[/C][C]460.58852256431[/C][C]2.18659700826209[/C][/ROW]
[ROW][C]0.79[/C][C]461.052844929741[/C][C]1.97607628778526[/C][/ROW]
[ROW][C]0.8[/C][C]461.49218839916[/C][C]1.82287111485369[/C][/ROW]
[ROW][C]0.81[/C][C]461.920511252814[/C][C]1.73739262892807[/C][/ROW]
[ROW][C]0.82[/C][C]462.353320536577[/C][C]1.72315247718616[/C][/ROW]
[ROW][C]0.83[/C][C]462.806828786384[/C][C]1.77826529854589[/C][/ROW]
[ROW][C]0.84[/C][C]463.296936606324[/C][C]1.89340445512076[/C][/ROW]
[ROW][C]0.85[/C][C]463.838071792132[/C][C]2.05504907723046[/C][/ROW]
[ROW][C]0.86[/C][C]464.441845674817[/C][C]2.24569576162767[/C][/ROW]
[ROW][C]0.87[/C][C]465.115451411518[/C][C]2.4451851865799[/C][/ROW]
[ROW][C]0.88[/C][C]465.859822301528[/C][C]2.62857550509706[/C][/ROW]
[ROW][C]0.89[/C][C]466.667888511201[/C][C]2.76580090812950[/C][/ROW]
[ROW][C]0.9[/C][C]467.5238407163[/C][C]2.82472302939918[/C][/ROW]
[ROW][C]0.91[/C][C]468.404956470297[/C][C]2.77760172369964[/C][/ROW]
[ROW][C]0.92[/C][C]469.287749456424[/C][C]2.61666745790718[/C][/ROW]
[ROW][C]0.93[/C][C]470.158965172363[/C][C]2.37023413042394[/C][/ROW]
[ROW][C]0.94[/C][C]471.02797260616[/C][C]2.11967937743641[/C][/ROW]
[ROW][C]0.95[/C][C]471.93015923543[/C][C]1.99176737008277[/C][/ROW]
[ROW][C]0.96[/C][C]472.905440793777[/C][C]2.05892542374571[/C][/ROW]
[ROW][C]0.97[/C][C]473.944625904117[/C][C]2.14766425581746[/C][/ROW]
[ROW][C]0.98[/C][C]474.932814430261[/C][C]1.86020836925821[/C][/ROW]
[ROW][C]0.99[/C][C]475.666421020667[/C][C]0.979674670777048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6350&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6350&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
0.01354.7832726153022.26684338854017
0.02355.8158899746691.53218176132703
0.03356.7632467989381.37735431197731
0.04357.6365497031021.90652749752672
0.05358.5875828301082.73314809258443
0.06359.7289291265393.60106121307275
0.07361.0917330901744.39952723833817
0.08362.6522430215265.09426118627498
0.09364.3645336950315.67512339598021
0.1366.1788395030296.12624012042756
0.11368.0480116741046.42718771228697
0.12369.9297097923436.57210565228998
0.13371.7890150454346.58750518358
0.14373.6019753644636.52770853516186
0.15375.3582940621946.46240689575787
0.16377.061416355566.45418291345448
0.17378.7256344832216.54017153396693
0.18380.3712418045286.72715435373389
0.19382.0194385520286.99460456565917
0.2383.6884997492457.31241627814338
0.21385.3919633442817.65333245953526
0.22387.1387193121258.00371869065592
0.23388.9342336243378.36166317990947
0.24390.7819057570388.73332204669805
0.25392.6837348256179.12177079096552
0.26394.6399210510929.51969233399858
0.27396.6475540543129.90397570468271
0.28398.69894535143510.2379923529432
0.29400.78032674312210.4772748420748
0.3402.87153394829810.5813104570854
0.31404.94699064974710.5196204099989
0.32406.97792164267710.2811910083351
0.33408.9353827651059.87303060295248
0.34410.7934949625929.32305741606254
0.35412.5322497389368.6720761833932
0.36414.1393953183487.96871196427139
0.37415.6111569619097.26314597984706
0.38416.9518134508216.60115910309436
0.39418.1723743072446.01604107758959
0.4419.2887330486485.53059972304869
0.41420.3196965723645.15503071911477
0.42421.2852243514684.89010457147816
0.43422.2050871858774.7286022071384
0.44423.0980140565874.6613710007236
0.45423.9812728817534.67982835283781
0.46424.8705504864864.77486036148965
0.47425.7799680524764.93936758827299
0.48426.7220864664185.16748879313615
0.49427.7078074563985.44977990060761
0.5428.7461425153285.775261805919
0.51429.8438836070216.12997145194493
0.52431.0052525841236.49708600147255
0.53432.2316216345356.8585256612773
0.54433.5213841341377.19693325502315
0.55434.8700205955467.49613648646535
0.56436.2703599258817.74310383591636
0.57437.7129959185177.92682307066381
0.58439.1867947092488.04250739069622
0.59440.6794269408978.08642946060718
0.6442.1778768330368.05709289981052
0.61443.668910069567.95590835575587
0.62445.1395100252167.78555734007815
0.63446.5773048512587.54931450969515
0.64447.9709998515177.25426051139647
0.65449.3108031277966.90880831870363
0.66450.5887992561636.5240866387433
0.67451.7992021453706.11362183521309
0.68452.9384187915995.6905765000519
0.69454.004886584265.26821264872385
0.7454.9987022221494.85618860533429
0.71455.9211230667424.46001401114505
0.72456.7740692944854.08224595475187
0.73457.5597679250823.72164141996437
0.74458.2806490978253.37613361924275
0.75458.9395373247423.04552357453222
0.76459.540095740292.73223359951190
0.77460.0874058850442.4427584103932
0.78460.588522564312.18659700826209
0.79461.0528449297411.97607628778526
0.8461.492188399161.82287111485369
0.81461.9205112528141.73739262892807
0.82462.3533205365771.72315247718616
0.83462.8068287863841.77826529854589
0.84463.2969366063241.89340445512076
0.85463.8380717921322.05504907723046
0.86464.4418456748172.24569576162767
0.87465.1154514115182.4451851865799
0.88465.8598223015282.62857550509706
0.89466.6678885112012.76580090812950
0.9467.52384071632.82472302939918
0.91468.4049564702972.77760172369964
0.92469.2877494564242.61666745790718
0.93470.1589651723632.37023413042394
0.94471.027972606162.11967937743641
0.95471.930159235431.99176737008277
0.96472.9054407937772.05892542374571
0.97473.9446259041172.14766425581746
0.98474.9328144302611.86020836925821
0.99475.6664210206670.979674670777048


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')