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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 17 Dec 2009 15:29:58 -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/2009/Dec/17/t126108905987g8nttoiuah8gl.htm/, Retrieved Tue, 30 Apr 2024 00:06:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69125, Retrieved Tue, 30 Apr 2024 00:06:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

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: Univariate...] [2009-12-17 22:00:32] [8cf9233b7464ea02e32be3b30fdac052]
-    D    [Harrell-Davis Quantiles] [Paper: Harrell-Da...] [2009-12-17 22:29:58] [b9056af0304697100f456398102f1287] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
412
404
409
412
406
398
397
385
390
413
413
401
397
397
409
419
424
428
430

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69125&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69125&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69125&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01386.4073066049614.99418642711148
0.02388.5905601317834.98435726500316
0.03390.9561950806444.63653912948576
0.04393.0903843698413.96697612036303
0.05394.8394770672243.25779015463759
0.06396.2321001473972.81294662881240
0.07397.3785603759162.76222382057678
0.08398.3982619712583.00802940595140
0.09399.3816801539893.37089297500979
0.1400.3792358280393.71749176211925
0.11401.4064972575143.97696964520979
0.12402.4562445095564.12783713334402
0.13403.5108222127834.1782061784996
0.14404.5514196789794.15377674549085
0.15405.5634286534184.08579946060105
0.16406.5384821258684.00270046573385
0.17407.4743175081283.92545987103554
0.18408.3735645085573.86944963098096
0.19409.2422444755183.84395043101667
0.2410.0884049296923.85601483620092
0.21410.9210252948023.90882958619299
0.22411.7491638553904.00340160219275
0.23412.5812635814854.13613987004072
0.24413.424557860814.30088340206891
0.25414.2845709952834.48655594770311
0.26415.1647554484094.67896883583277
0.27416.0663273047054.86450521988652
0.28416.9883489385.03082226044348
0.29417.9280715375315.16842696725774
0.3418.8815039810695.27236128312135
0.31419.8441327955165.34325369341042
0.32420.8116910021155.38496243212435
0.33421.780866385745.4079743669252
0.34422.7498517665685.42386533085913
0.35423.7186669643125.44592146817417
0.36424.6892181085455.48796995732493
0.37425.6650981857385.56022618861296
0.38426.651167427865.66967555057116
0.39427.6529789178875.81787526126838
0.4428.6761307589616.00222119631208
0.41429.7256300222326.21487821110489
0.42430.8053456404876.44459177824884
0.43431.9176090796976.67999137293919
0.44433.0629959853306.90745720689277
0.45434.2402931783767.11615845175436
0.46435.4466281303257.29596346706574
0.47436.6777170409067.43975238017402
0.48437.9281765254277.54317559565367
0.49439.1918444449917.6047211927975
0.5440.4620668798367.62321606133952
0.51441.7319274689467.59900354707562
0.52442.9944172750867.53267387865841
0.53444.2425622645857.42418072519681
0.54445.4695364857927.27460139208294
0.55446.6687893003077.08486205482931
0.56447.8342047536096.85682150838076
0.57448.9602935675666.59395971976947
0.58450.0423986965756.30190730843889
0.59451.0768800351335.98739709997907
0.6452.0612378099855.65885333232309
0.61452.9941400353425.32565799714542
0.62453.8753364178894.99516673901597
0.63454.7054652991864.67397254952386
0.64455.4857854393354.36590299818072
0.65456.217883964284.07290414238051
0.66456.9034202194353.79318955175643
0.67457.5439600054463.52484128834828
0.68458.1409366595013.26482599028547
0.69458.6957488920123.01158839525951
0.7459.2099764914512.7649945071859
0.71459.6856706425262.52770673254301
0.72460.1256609622112.30410414424371
0.73460.5338190946712.10099759417897
0.74460.9152283669701.92568097426193
0.75461.2762274472311.78573452553852
0.76461.624318358051.68849920543369
0.77461.967950341251.63870343840986
0.78462.3162063044161.63757088825843
0.79462.6784245291931.68352350040858
0.8463.0637833331041.77131635802641
0.81463.4808611544291.89359522080704
0.82463.937163223352.04200490203154
0.83464.4385875027982.20627298334196
0.84464.9888011114082.37534073010955
0.85465.5885314891722.53573378950016
0.86466.234859046072.67169191200529
0.87466.9207319556952.76525062149394
0.88467.63508463712.79828353631507
0.89468.364063102752.75669792113966
0.9469.0938197214062.63604733188638
0.91469.8149508752982.44878274482826
0.92470.5277030635172.23079566943839
0.93471.2455041082482.04447709355551
0.94471.9926807474431.96558101282149
0.95472.7919980276372.02550224389841
0.96473.6415798737012.129411076273
0.97474.4906301963862.05891708900904
0.98475.2353803470871.60283376955529
0.99475.757471124130.781208876713118

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 386.407306604961 & 4.99418642711148 \tabularnewline
0.02 & 388.590560131783 & 4.98435726500316 \tabularnewline
0.03 & 390.956195080644 & 4.63653912948576 \tabularnewline
0.04 & 393.090384369841 & 3.96697612036303 \tabularnewline
0.05 & 394.839477067224 & 3.25779015463759 \tabularnewline
0.06 & 396.232100147397 & 2.81294662881240 \tabularnewline
0.07 & 397.378560375916 & 2.76222382057678 \tabularnewline
0.08 & 398.398261971258 & 3.00802940595140 \tabularnewline
0.09 & 399.381680153989 & 3.37089297500979 \tabularnewline
0.1 & 400.379235828039 & 3.71749176211925 \tabularnewline
0.11 & 401.406497257514 & 3.97696964520979 \tabularnewline
0.12 & 402.456244509556 & 4.12783713334402 \tabularnewline
0.13 & 403.510822212783 & 4.1782061784996 \tabularnewline
0.14 & 404.551419678979 & 4.15377674549085 \tabularnewline
0.15 & 405.563428653418 & 4.08579946060105 \tabularnewline
0.16 & 406.538482125868 & 4.00270046573385 \tabularnewline
0.17 & 407.474317508128 & 3.92545987103554 \tabularnewline
0.18 & 408.373564508557 & 3.86944963098096 \tabularnewline
0.19 & 409.242244475518 & 3.84395043101667 \tabularnewline
0.2 & 410.088404929692 & 3.85601483620092 \tabularnewline
0.21 & 410.921025294802 & 3.90882958619299 \tabularnewline
0.22 & 411.749163855390 & 4.00340160219275 \tabularnewline
0.23 & 412.581263581485 & 4.13613987004072 \tabularnewline
0.24 & 413.42455786081 & 4.30088340206891 \tabularnewline
0.25 & 414.284570995283 & 4.48655594770311 \tabularnewline
0.26 & 415.164755448409 & 4.67896883583277 \tabularnewline
0.27 & 416.066327304705 & 4.86450521988652 \tabularnewline
0.28 & 416.988348938 & 5.03082226044348 \tabularnewline
0.29 & 417.928071537531 & 5.16842696725774 \tabularnewline
0.3 & 418.881503981069 & 5.27236128312135 \tabularnewline
0.31 & 419.844132795516 & 5.34325369341042 \tabularnewline
0.32 & 420.811691002115 & 5.38496243212435 \tabularnewline
0.33 & 421.78086638574 & 5.4079743669252 \tabularnewline
0.34 & 422.749851766568 & 5.42386533085913 \tabularnewline
0.35 & 423.718666964312 & 5.44592146817417 \tabularnewline
0.36 & 424.689218108545 & 5.48796995732493 \tabularnewline
0.37 & 425.665098185738 & 5.56022618861296 \tabularnewline
0.38 & 426.65116742786 & 5.66967555057116 \tabularnewline
0.39 & 427.652978917887 & 5.81787526126838 \tabularnewline
0.4 & 428.676130758961 & 6.00222119631208 \tabularnewline
0.41 & 429.725630022232 & 6.21487821110489 \tabularnewline
0.42 & 430.805345640487 & 6.44459177824884 \tabularnewline
0.43 & 431.917609079697 & 6.67999137293919 \tabularnewline
0.44 & 433.062995985330 & 6.90745720689277 \tabularnewline
0.45 & 434.240293178376 & 7.11615845175436 \tabularnewline
0.46 & 435.446628130325 & 7.29596346706574 \tabularnewline
0.47 & 436.677717040906 & 7.43975238017402 \tabularnewline
0.48 & 437.928176525427 & 7.54317559565367 \tabularnewline
0.49 & 439.191844444991 & 7.6047211927975 \tabularnewline
0.5 & 440.462066879836 & 7.62321606133952 \tabularnewline
0.51 & 441.731927468946 & 7.59900354707562 \tabularnewline
0.52 & 442.994417275086 & 7.53267387865841 \tabularnewline
0.53 & 444.242562264585 & 7.42418072519681 \tabularnewline
0.54 & 445.469536485792 & 7.27460139208294 \tabularnewline
0.55 & 446.668789300307 & 7.08486205482931 \tabularnewline
0.56 & 447.834204753609 & 6.85682150838076 \tabularnewline
0.57 & 448.960293567566 & 6.59395971976947 \tabularnewline
0.58 & 450.042398696575 & 6.30190730843889 \tabularnewline
0.59 & 451.076880035133 & 5.98739709997907 \tabularnewline
0.6 & 452.061237809985 & 5.65885333232309 \tabularnewline
0.61 & 452.994140035342 & 5.32565799714542 \tabularnewline
0.62 & 453.875336417889 & 4.99516673901597 \tabularnewline
0.63 & 454.705465299186 & 4.67397254952386 \tabularnewline
0.64 & 455.485785439335 & 4.36590299818072 \tabularnewline
0.65 & 456.21788396428 & 4.07290414238051 \tabularnewline
0.66 & 456.903420219435 & 3.79318955175643 \tabularnewline
0.67 & 457.543960005446 & 3.52484128834828 \tabularnewline
0.68 & 458.140936659501 & 3.26482599028547 \tabularnewline
0.69 & 458.695748892012 & 3.01158839525951 \tabularnewline
0.7 & 459.209976491451 & 2.7649945071859 \tabularnewline
0.71 & 459.685670642526 & 2.52770673254301 \tabularnewline
0.72 & 460.125660962211 & 2.30410414424371 \tabularnewline
0.73 & 460.533819094671 & 2.10099759417897 \tabularnewline
0.74 & 460.915228366970 & 1.92568097426193 \tabularnewline
0.75 & 461.276227447231 & 1.78573452553852 \tabularnewline
0.76 & 461.62431835805 & 1.68849920543369 \tabularnewline
0.77 & 461.96795034125 & 1.63870343840986 \tabularnewline
0.78 & 462.316206304416 & 1.63757088825843 \tabularnewline
0.79 & 462.678424529193 & 1.68352350040858 \tabularnewline
0.8 & 463.063783333104 & 1.77131635802641 \tabularnewline
0.81 & 463.480861154429 & 1.89359522080704 \tabularnewline
0.82 & 463.93716322335 & 2.04200490203154 \tabularnewline
0.83 & 464.438587502798 & 2.20627298334196 \tabularnewline
0.84 & 464.988801111408 & 2.37534073010955 \tabularnewline
0.85 & 465.588531489172 & 2.53573378950016 \tabularnewline
0.86 & 466.23485904607 & 2.67169191200529 \tabularnewline
0.87 & 466.920731955695 & 2.76525062149394 \tabularnewline
0.88 & 467.6350846371 & 2.79828353631507 \tabularnewline
0.89 & 468.36406310275 & 2.75669792113966 \tabularnewline
0.9 & 469.093819721406 & 2.63604733188638 \tabularnewline
0.91 & 469.814950875298 & 2.44878274482826 \tabularnewline
0.92 & 470.527703063517 & 2.23079566943839 \tabularnewline
0.93 & 471.245504108248 & 2.04447709355551 \tabularnewline
0.94 & 471.992680747443 & 1.96558101282149 \tabularnewline
0.95 & 472.791998027637 & 2.02550224389841 \tabularnewline
0.96 & 473.641579873701 & 2.129411076273 \tabularnewline
0.97 & 474.490630196386 & 2.05891708900904 \tabularnewline
0.98 & 475.235380347087 & 1.60283376955529 \tabularnewline
0.99 & 475.75747112413 & 0.781208876713118 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69125&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]386.407306604961[/C][C]4.99418642711148[/C][/ROW]
[ROW][C]0.02[/C][C]388.590560131783[/C][C]4.98435726500316[/C][/ROW]
[ROW][C]0.03[/C][C]390.956195080644[/C][C]4.63653912948576[/C][/ROW]
[ROW][C]0.04[/C][C]393.090384369841[/C][C]3.96697612036303[/C][/ROW]
[ROW][C]0.05[/C][C]394.839477067224[/C][C]3.25779015463759[/C][/ROW]
[ROW][C]0.06[/C][C]396.232100147397[/C][C]2.81294662881240[/C][/ROW]
[ROW][C]0.07[/C][C]397.378560375916[/C][C]2.76222382057678[/C][/ROW]
[ROW][C]0.08[/C][C]398.398261971258[/C][C]3.00802940595140[/C][/ROW]
[ROW][C]0.09[/C][C]399.381680153989[/C][C]3.37089297500979[/C][/ROW]
[ROW][C]0.1[/C][C]400.379235828039[/C][C]3.71749176211925[/C][/ROW]
[ROW][C]0.11[/C][C]401.406497257514[/C][C]3.97696964520979[/C][/ROW]
[ROW][C]0.12[/C][C]402.456244509556[/C][C]4.12783713334402[/C][/ROW]
[ROW][C]0.13[/C][C]403.510822212783[/C][C]4.1782061784996[/C][/ROW]
[ROW][C]0.14[/C][C]404.551419678979[/C][C]4.15377674549085[/C][/ROW]
[ROW][C]0.15[/C][C]405.563428653418[/C][C]4.08579946060105[/C][/ROW]
[ROW][C]0.16[/C][C]406.538482125868[/C][C]4.00270046573385[/C][/ROW]
[ROW][C]0.17[/C][C]407.474317508128[/C][C]3.92545987103554[/C][/ROW]
[ROW][C]0.18[/C][C]408.373564508557[/C][C]3.86944963098096[/C][/ROW]
[ROW][C]0.19[/C][C]409.242244475518[/C][C]3.84395043101667[/C][/ROW]
[ROW][C]0.2[/C][C]410.088404929692[/C][C]3.85601483620092[/C][/ROW]
[ROW][C]0.21[/C][C]410.921025294802[/C][C]3.90882958619299[/C][/ROW]
[ROW][C]0.22[/C][C]411.749163855390[/C][C]4.00340160219275[/C][/ROW]
[ROW][C]0.23[/C][C]412.581263581485[/C][C]4.13613987004072[/C][/ROW]
[ROW][C]0.24[/C][C]413.42455786081[/C][C]4.30088340206891[/C][/ROW]
[ROW][C]0.25[/C][C]414.284570995283[/C][C]4.48655594770311[/C][/ROW]
[ROW][C]0.26[/C][C]415.164755448409[/C][C]4.67896883583277[/C][/ROW]
[ROW][C]0.27[/C][C]416.066327304705[/C][C]4.86450521988652[/C][/ROW]
[ROW][C]0.28[/C][C]416.988348938[/C][C]5.03082226044348[/C][/ROW]
[ROW][C]0.29[/C][C]417.928071537531[/C][C]5.16842696725774[/C][/ROW]
[ROW][C]0.3[/C][C]418.881503981069[/C][C]5.27236128312135[/C][/ROW]
[ROW][C]0.31[/C][C]419.844132795516[/C][C]5.34325369341042[/C][/ROW]
[ROW][C]0.32[/C][C]420.811691002115[/C][C]5.38496243212435[/C][/ROW]
[ROW][C]0.33[/C][C]421.78086638574[/C][C]5.4079743669252[/C][/ROW]
[ROW][C]0.34[/C][C]422.749851766568[/C][C]5.42386533085913[/C][/ROW]
[ROW][C]0.35[/C][C]423.718666964312[/C][C]5.44592146817417[/C][/ROW]
[ROW][C]0.36[/C][C]424.689218108545[/C][C]5.48796995732493[/C][/ROW]
[ROW][C]0.37[/C][C]425.665098185738[/C][C]5.56022618861296[/C][/ROW]
[ROW][C]0.38[/C][C]426.65116742786[/C][C]5.66967555057116[/C][/ROW]
[ROW][C]0.39[/C][C]427.652978917887[/C][C]5.81787526126838[/C][/ROW]
[ROW][C]0.4[/C][C]428.676130758961[/C][C]6.00222119631208[/C][/ROW]
[ROW][C]0.41[/C][C]429.725630022232[/C][C]6.21487821110489[/C][/ROW]
[ROW][C]0.42[/C][C]430.805345640487[/C][C]6.44459177824884[/C][/ROW]
[ROW][C]0.43[/C][C]431.917609079697[/C][C]6.67999137293919[/C][/ROW]
[ROW][C]0.44[/C][C]433.062995985330[/C][C]6.90745720689277[/C][/ROW]
[ROW][C]0.45[/C][C]434.240293178376[/C][C]7.11615845175436[/C][/ROW]
[ROW][C]0.46[/C][C]435.446628130325[/C][C]7.29596346706574[/C][/ROW]
[ROW][C]0.47[/C][C]436.677717040906[/C][C]7.43975238017402[/C][/ROW]
[ROW][C]0.48[/C][C]437.928176525427[/C][C]7.54317559565367[/C][/ROW]
[ROW][C]0.49[/C][C]439.191844444991[/C][C]7.6047211927975[/C][/ROW]
[ROW][C]0.5[/C][C]440.462066879836[/C][C]7.62321606133952[/C][/ROW]
[ROW][C]0.51[/C][C]441.731927468946[/C][C]7.59900354707562[/C][/ROW]
[ROW][C]0.52[/C][C]442.994417275086[/C][C]7.53267387865841[/C][/ROW]
[ROW][C]0.53[/C][C]444.242562264585[/C][C]7.42418072519681[/C][/ROW]
[ROW][C]0.54[/C][C]445.469536485792[/C][C]7.27460139208294[/C][/ROW]
[ROW][C]0.55[/C][C]446.668789300307[/C][C]7.08486205482931[/C][/ROW]
[ROW][C]0.56[/C][C]447.834204753609[/C][C]6.85682150838076[/C][/ROW]
[ROW][C]0.57[/C][C]448.960293567566[/C][C]6.59395971976947[/C][/ROW]
[ROW][C]0.58[/C][C]450.042398696575[/C][C]6.30190730843889[/C][/ROW]
[ROW][C]0.59[/C][C]451.076880035133[/C][C]5.98739709997907[/C][/ROW]
[ROW][C]0.6[/C][C]452.061237809985[/C][C]5.65885333232309[/C][/ROW]
[ROW][C]0.61[/C][C]452.994140035342[/C][C]5.32565799714542[/C][/ROW]
[ROW][C]0.62[/C][C]453.875336417889[/C][C]4.99516673901597[/C][/ROW]
[ROW][C]0.63[/C][C]454.705465299186[/C][C]4.67397254952386[/C][/ROW]
[ROW][C]0.64[/C][C]455.485785439335[/C][C]4.36590299818072[/C][/ROW]
[ROW][C]0.65[/C][C]456.21788396428[/C][C]4.07290414238051[/C][/ROW]
[ROW][C]0.66[/C][C]456.903420219435[/C][C]3.79318955175643[/C][/ROW]
[ROW][C]0.67[/C][C]457.543960005446[/C][C]3.52484128834828[/C][/ROW]
[ROW][C]0.68[/C][C]458.140936659501[/C][C]3.26482599028547[/C][/ROW]
[ROW][C]0.69[/C][C]458.695748892012[/C][C]3.01158839525951[/C][/ROW]
[ROW][C]0.7[/C][C]459.209976491451[/C][C]2.7649945071859[/C][/ROW]
[ROW][C]0.71[/C][C]459.685670642526[/C][C]2.52770673254301[/C][/ROW]
[ROW][C]0.72[/C][C]460.125660962211[/C][C]2.30410414424371[/C][/ROW]
[ROW][C]0.73[/C][C]460.533819094671[/C][C]2.10099759417897[/C][/ROW]
[ROW][C]0.74[/C][C]460.915228366970[/C][C]1.92568097426193[/C][/ROW]
[ROW][C]0.75[/C][C]461.276227447231[/C][C]1.78573452553852[/C][/ROW]
[ROW][C]0.76[/C][C]461.62431835805[/C][C]1.68849920543369[/C][/ROW]
[ROW][C]0.77[/C][C]461.96795034125[/C][C]1.63870343840986[/C][/ROW]
[ROW][C]0.78[/C][C]462.316206304416[/C][C]1.63757088825843[/C][/ROW]
[ROW][C]0.79[/C][C]462.678424529193[/C][C]1.68352350040858[/C][/ROW]
[ROW][C]0.8[/C][C]463.063783333104[/C][C]1.77131635802641[/C][/ROW]
[ROW][C]0.81[/C][C]463.480861154429[/C][C]1.89359522080704[/C][/ROW]
[ROW][C]0.82[/C][C]463.93716322335[/C][C]2.04200490203154[/C][/ROW]
[ROW][C]0.83[/C][C]464.438587502798[/C][C]2.20627298334196[/C][/ROW]
[ROW][C]0.84[/C][C]464.988801111408[/C][C]2.37534073010955[/C][/ROW]
[ROW][C]0.85[/C][C]465.588531489172[/C][C]2.53573378950016[/C][/ROW]
[ROW][C]0.86[/C][C]466.23485904607[/C][C]2.67169191200529[/C][/ROW]
[ROW][C]0.87[/C][C]466.920731955695[/C][C]2.76525062149394[/C][/ROW]
[ROW][C]0.88[/C][C]467.6350846371[/C][C]2.79828353631507[/C][/ROW]
[ROW][C]0.89[/C][C]468.36406310275[/C][C]2.75669792113966[/C][/ROW]
[ROW][C]0.9[/C][C]469.093819721406[/C][C]2.63604733188638[/C][/ROW]
[ROW][C]0.91[/C][C]469.814950875298[/C][C]2.44878274482826[/C][/ROW]
[ROW][C]0.92[/C][C]470.527703063517[/C][C]2.23079566943839[/C][/ROW]
[ROW][C]0.93[/C][C]471.245504108248[/C][C]2.04447709355551[/C][/ROW]
[ROW][C]0.94[/C][C]471.992680747443[/C][C]1.96558101282149[/C][/ROW]
[ROW][C]0.95[/C][C]472.791998027637[/C][C]2.02550224389841[/C][/ROW]
[ROW][C]0.96[/C][C]473.641579873701[/C][C]2.129411076273[/C][/ROW]
[ROW][C]0.97[/C][C]474.490630196386[/C][C]2.05891708900904[/C][/ROW]
[ROW][C]0.98[/C][C]475.235380347087[/C][C]1.60283376955529[/C][/ROW]
[ROW][C]0.99[/C][C]475.75747112413[/C][C]0.781208876713118[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69125&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69125&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
0.01386.4073066049614.99418642711148
0.02388.5905601317834.98435726500316
0.03390.9561950806444.63653912948576
0.04393.0903843698413.96697612036303
0.05394.8394770672243.25779015463759
0.06396.2321001473972.81294662881240
0.07397.3785603759162.76222382057678
0.08398.3982619712583.00802940595140
0.09399.3816801539893.37089297500979
0.1400.3792358280393.71749176211925
0.11401.4064972575143.97696964520979
0.12402.4562445095564.12783713334402
0.13403.5108222127834.1782061784996
0.14404.5514196789794.15377674549085
0.15405.5634286534184.08579946060105
0.16406.5384821258684.00270046573385
0.17407.4743175081283.92545987103554
0.18408.3735645085573.86944963098096
0.19409.2422444755183.84395043101667
0.2410.0884049296923.85601483620092
0.21410.9210252948023.90882958619299
0.22411.7491638553904.00340160219275
0.23412.5812635814854.13613987004072
0.24413.424557860814.30088340206891
0.25414.2845709952834.48655594770311
0.26415.1647554484094.67896883583277
0.27416.0663273047054.86450521988652
0.28416.9883489385.03082226044348
0.29417.9280715375315.16842696725774
0.3418.8815039810695.27236128312135
0.31419.8441327955165.34325369341042
0.32420.8116910021155.38496243212435
0.33421.780866385745.4079743669252
0.34422.7498517665685.42386533085913
0.35423.7186669643125.44592146817417
0.36424.6892181085455.48796995732493
0.37425.6650981857385.56022618861296
0.38426.651167427865.66967555057116
0.39427.6529789178875.81787526126838
0.4428.6761307589616.00222119631208
0.41429.7256300222326.21487821110489
0.42430.8053456404876.44459177824884
0.43431.9176090796976.67999137293919
0.44433.0629959853306.90745720689277
0.45434.2402931783767.11615845175436
0.46435.4466281303257.29596346706574
0.47436.6777170409067.43975238017402
0.48437.9281765254277.54317559565367
0.49439.1918444449917.6047211927975
0.5440.4620668798367.62321606133952
0.51441.7319274689467.59900354707562
0.52442.9944172750867.53267387865841
0.53444.2425622645857.42418072519681
0.54445.4695364857927.27460139208294
0.55446.6687893003077.08486205482931
0.56447.8342047536096.85682150838076
0.57448.9602935675666.59395971976947
0.58450.0423986965756.30190730843889
0.59451.0768800351335.98739709997907
0.6452.0612378099855.65885333232309
0.61452.9941400353425.32565799714542
0.62453.8753364178894.99516673901597
0.63454.7054652991864.67397254952386
0.64455.4857854393354.36590299818072
0.65456.217883964284.07290414238051
0.66456.9034202194353.79318955175643
0.67457.5439600054463.52484128834828
0.68458.1409366595013.26482599028547
0.69458.6957488920123.01158839525951
0.7459.2099764914512.7649945071859
0.71459.6856706425262.52770673254301
0.72460.1256609622112.30410414424371
0.73460.5338190946712.10099759417897
0.74460.9152283669701.92568097426193
0.75461.2762274472311.78573452553852
0.76461.624318358051.68849920543369
0.77461.967950341251.63870343840986
0.78462.3162063044161.63757088825843
0.79462.6784245291931.68352350040858
0.8463.0637833331041.77131635802641
0.81463.4808611544291.89359522080704
0.82463.937163223352.04200490203154
0.83464.4385875027982.20627298334196
0.84464.9888011114082.37534073010955
0.85465.5885314891722.53573378950016
0.86466.234859046072.67169191200529
0.87466.9207319556952.76525062149394
0.88467.63508463712.79828353631507
0.89468.364063102752.75669792113966
0.9469.0938197214062.63604733188638
0.91469.8149508752982.44878274482826
0.92470.5277030635172.23079566943839
0.93471.2455041082482.04447709355551
0.94471.9926807474431.96558101282149
0.95472.7919980276372.02550224389841
0.96473.6415798737012.129411076273
0.97474.4906301963862.05891708900904
0.98475.2353803470871.60283376955529
0.99475.757471124130.781208876713118


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')