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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 13 Feb 2014 13:24:45 -0500
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/Feb/13/t1392315923vcr12883i3jobt0.htm/, Retrieved Thu, 16 May 2024 12:36:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233613, Retrieved Thu, 16 May 2024 12:36:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-02-13 18:24:45] [7373f181761c5c20212e36e73239e9d6] [Current]
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Dataseries X:
449
446
447
451
465
460
433
431
437
442
449
450
435
431
434
439
455
452
426
428
433
438
442
446
442
436
444
454
469
471
443
437
444
451
457
460
454
439
441
446
459
456
433
424
430
428
424
419
409
397
397
401
413
413
390
385
397
398
406
412
409
404
412
418
434
431
406
416
424
427
438
444
442
443
453
471
476
476
461
462
460
463
467
468




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233613&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233613&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233613&T=0

As an alternative you can also use a 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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01387.220998808695.04033964979907
0.02390.4784107088644.76112959282293
0.03393.450891743.85493584288831
0.04395.6961886480893.00424967153902
0.05397.3753117167572.83031542265205
0.06398.7975810986613.21326299111421
0.07400.182643906553.71731329066174
0.08401.6129281742424.08699899689297
0.09403.0775390529894.25518695690656
0.1404.5315452780734.26211658306409
0.11405.9354926014914.18514524625934
0.12407.2706388489264.09744779890066
0.13408.5384844140494.04799493579968
0.14409.7540819134034.0636009550293
0.15410.9388564706734.15594101885968
0.16412.1149569035724.32117695018082
0.17413.3011755947034.54295354570394
0.18414.5100601901344.79026600107387
0.19415.7461461938745.02475957077087
0.2417.0055194978395.20877835844034
0.21418.2768541662935.31360040619647
0.22419.5437339097895.32441389233706
0.23420.78770043855.24234818961012
0.24421.991290821965.07945624945589
0.25423.1404041361574.85881284424461
0.26424.2256142617644.60434528313938
0.27425.2423886846794.33855691248469
0.28426.1904542247464.07809081409033
0.29427.0726948368963.83348730624006
0.3427.8939653457923.6103998595276
0.31428.6600995478353.40928246829047
0.32429.3772435841323.23037424796892
0.33430.0515115833273.07398377887754
0.34430.6888739743072.93952173073383
0.35431.2951582327322.82838502001078
0.36431.8760568720932.74151440766591
0.37432.4370786491412.67925122315647
0.38432.9834260644812.63946764403346
0.39433.5198200661152.62115663610715
0.4434.0503132676722.61961392836703
0.41434.5781347199422.62999154063112
0.42435.1055964458592.64775720781297
0.43435.6340719489472.66738125272995
0.44436.1640379843062.68564003851894
0.45436.6951597348952.69865670088632
0.46437.2263993070682.70295746328772
0.47437.756136780032.69671728577496
0.48438.2823066073622.67773268210634
0.49438.8025628221382.64497156954681
0.5439.3144881825992.5974996479234
0.51439.8158527842062.53706313859093
0.52440.3049093351132.4660385452751
0.53440.7806918667532.38928929540224
0.54441.243270181042.31327706614981
0.55441.6939100394922.24573780357868
0.56442.1351008528292.19296612892708
0.57442.5704352777822.16141534580037
0.58443.0043518721732.15578017449709
0.59443.4417751385482.17625356252661
0.6443.887701295532.2226822203068
0.61444.3467812058392.29113756384786
0.62444.8229461695542.3764584907201
0.63445.3191120976642.4715649673707
0.64445.8369871099722.57028792828338
0.65446.3769989755242.6652181053415
0.66446.9383514810592.74956012505996
0.67447.5192104695732.81978450875767
0.68448.1170087290522.87176783679245
0.69448.7288437041522.90454754664491
0.7449.3519250543842.92066792178074
0.71449.9840137700292.92358738901784
0.72450.6237841858142.91855342533941
0.73451.2710370990962.91179461243507
0.74451.9266982737292.90904992922508
0.75452.5925554736082.91498865917747
0.76453.2707251501282.93000347990548
0.77453.9629036165582.95250589432687
0.78454.669546467242.97423555849727
0.79455.3892166373422.98485608534376
0.8456.1184058674142.97372866926194
0.81456.852111243942.93178681313045
0.82457.5852915086092.85750822262644
0.83458.3150336148172.76097248012229
0.84459.0428954198352.66266190375097
0.85459.7765916861642.59090270995644
0.86460.5301241071982.57518199666573
0.87461.3217498983682.62976329319343
0.88462.1698542781212.74619716287577
0.89463.0876952482362.8908442221709
0.9464.078823001843.01534328251011
0.91465.1353936745843.07242411184745
0.92466.2414376430823.03356841888137
0.93467.38249341132.90321701630936
0.94468.5612620675982.72935984376889
0.95469.8126581796472.610078239693
0.96471.1962714991742.66371804732704
0.97472.7305454011912.82810669783946
0.98474.2706328161332.60462876785541
0.99475.4645006288891.45426911448466

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 387.22099880869 & 5.04033964979907 \tabularnewline
0.02 & 390.478410708864 & 4.76112959282293 \tabularnewline
0.03 & 393.45089174 & 3.85493584288831 \tabularnewline
0.04 & 395.696188648089 & 3.00424967153902 \tabularnewline
0.05 & 397.375311716757 & 2.83031542265205 \tabularnewline
0.06 & 398.797581098661 & 3.21326299111421 \tabularnewline
0.07 & 400.18264390655 & 3.71731329066174 \tabularnewline
0.08 & 401.612928174242 & 4.08699899689297 \tabularnewline
0.09 & 403.077539052989 & 4.25518695690656 \tabularnewline
0.1 & 404.531545278073 & 4.26211658306409 \tabularnewline
0.11 & 405.935492601491 & 4.18514524625934 \tabularnewline
0.12 & 407.270638848926 & 4.09744779890066 \tabularnewline
0.13 & 408.538484414049 & 4.04799493579968 \tabularnewline
0.14 & 409.754081913403 & 4.0636009550293 \tabularnewline
0.15 & 410.938856470673 & 4.15594101885968 \tabularnewline
0.16 & 412.114956903572 & 4.32117695018082 \tabularnewline
0.17 & 413.301175594703 & 4.54295354570394 \tabularnewline
0.18 & 414.510060190134 & 4.79026600107387 \tabularnewline
0.19 & 415.746146193874 & 5.02475957077087 \tabularnewline
0.2 & 417.005519497839 & 5.20877835844034 \tabularnewline
0.21 & 418.276854166293 & 5.31360040619647 \tabularnewline
0.22 & 419.543733909789 & 5.32441389233706 \tabularnewline
0.23 & 420.7877004385 & 5.24234818961012 \tabularnewline
0.24 & 421.99129082196 & 5.07945624945589 \tabularnewline
0.25 & 423.140404136157 & 4.85881284424461 \tabularnewline
0.26 & 424.225614261764 & 4.60434528313938 \tabularnewline
0.27 & 425.242388684679 & 4.33855691248469 \tabularnewline
0.28 & 426.190454224746 & 4.07809081409033 \tabularnewline
0.29 & 427.072694836896 & 3.83348730624006 \tabularnewline
0.3 & 427.893965345792 & 3.6103998595276 \tabularnewline
0.31 & 428.660099547835 & 3.40928246829047 \tabularnewline
0.32 & 429.377243584132 & 3.23037424796892 \tabularnewline
0.33 & 430.051511583327 & 3.07398377887754 \tabularnewline
0.34 & 430.688873974307 & 2.93952173073383 \tabularnewline
0.35 & 431.295158232732 & 2.82838502001078 \tabularnewline
0.36 & 431.876056872093 & 2.74151440766591 \tabularnewline
0.37 & 432.437078649141 & 2.67925122315647 \tabularnewline
0.38 & 432.983426064481 & 2.63946764403346 \tabularnewline
0.39 & 433.519820066115 & 2.62115663610715 \tabularnewline
0.4 & 434.050313267672 & 2.61961392836703 \tabularnewline
0.41 & 434.578134719942 & 2.62999154063112 \tabularnewline
0.42 & 435.105596445859 & 2.64775720781297 \tabularnewline
0.43 & 435.634071948947 & 2.66738125272995 \tabularnewline
0.44 & 436.164037984306 & 2.68564003851894 \tabularnewline
0.45 & 436.695159734895 & 2.69865670088632 \tabularnewline
0.46 & 437.226399307068 & 2.70295746328772 \tabularnewline
0.47 & 437.75613678003 & 2.69671728577496 \tabularnewline
0.48 & 438.282306607362 & 2.67773268210634 \tabularnewline
0.49 & 438.802562822138 & 2.64497156954681 \tabularnewline
0.5 & 439.314488182599 & 2.5974996479234 \tabularnewline
0.51 & 439.815852784206 & 2.53706313859093 \tabularnewline
0.52 & 440.304909335113 & 2.4660385452751 \tabularnewline
0.53 & 440.780691866753 & 2.38928929540224 \tabularnewline
0.54 & 441.24327018104 & 2.31327706614981 \tabularnewline
0.55 & 441.693910039492 & 2.24573780357868 \tabularnewline
0.56 & 442.135100852829 & 2.19296612892708 \tabularnewline
0.57 & 442.570435277782 & 2.16141534580037 \tabularnewline
0.58 & 443.004351872173 & 2.15578017449709 \tabularnewline
0.59 & 443.441775138548 & 2.17625356252661 \tabularnewline
0.6 & 443.88770129553 & 2.2226822203068 \tabularnewline
0.61 & 444.346781205839 & 2.29113756384786 \tabularnewline
0.62 & 444.822946169554 & 2.3764584907201 \tabularnewline
0.63 & 445.319112097664 & 2.4715649673707 \tabularnewline
0.64 & 445.836987109972 & 2.57028792828338 \tabularnewline
0.65 & 446.376998975524 & 2.6652181053415 \tabularnewline
0.66 & 446.938351481059 & 2.74956012505996 \tabularnewline
0.67 & 447.519210469573 & 2.81978450875767 \tabularnewline
0.68 & 448.117008729052 & 2.87176783679245 \tabularnewline
0.69 & 448.728843704152 & 2.90454754664491 \tabularnewline
0.7 & 449.351925054384 & 2.92066792178074 \tabularnewline
0.71 & 449.984013770029 & 2.92358738901784 \tabularnewline
0.72 & 450.623784185814 & 2.91855342533941 \tabularnewline
0.73 & 451.271037099096 & 2.91179461243507 \tabularnewline
0.74 & 451.926698273729 & 2.90904992922508 \tabularnewline
0.75 & 452.592555473608 & 2.91498865917747 \tabularnewline
0.76 & 453.270725150128 & 2.93000347990548 \tabularnewline
0.77 & 453.962903616558 & 2.95250589432687 \tabularnewline
0.78 & 454.66954646724 & 2.97423555849727 \tabularnewline
0.79 & 455.389216637342 & 2.98485608534376 \tabularnewline
0.8 & 456.118405867414 & 2.97372866926194 \tabularnewline
0.81 & 456.85211124394 & 2.93178681313045 \tabularnewline
0.82 & 457.585291508609 & 2.85750822262644 \tabularnewline
0.83 & 458.315033614817 & 2.76097248012229 \tabularnewline
0.84 & 459.042895419835 & 2.66266190375097 \tabularnewline
0.85 & 459.776591686164 & 2.59090270995644 \tabularnewline
0.86 & 460.530124107198 & 2.57518199666573 \tabularnewline
0.87 & 461.321749898368 & 2.62976329319343 \tabularnewline
0.88 & 462.169854278121 & 2.74619716287577 \tabularnewline
0.89 & 463.087695248236 & 2.8908442221709 \tabularnewline
0.9 & 464.07882300184 & 3.01534328251011 \tabularnewline
0.91 & 465.135393674584 & 3.07242411184745 \tabularnewline
0.92 & 466.241437643082 & 3.03356841888137 \tabularnewline
0.93 & 467.3824934113 & 2.90321701630936 \tabularnewline
0.94 & 468.561262067598 & 2.72935984376889 \tabularnewline
0.95 & 469.812658179647 & 2.610078239693 \tabularnewline
0.96 & 471.196271499174 & 2.66371804732704 \tabularnewline
0.97 & 472.730545401191 & 2.82810669783946 \tabularnewline
0.98 & 474.270632816133 & 2.60462876785541 \tabularnewline
0.99 & 475.464500628889 & 1.45426911448466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233613&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]387.22099880869[/C][C]5.04033964979907[/C][/ROW]
[ROW][C]0.02[/C][C]390.478410708864[/C][C]4.76112959282293[/C][/ROW]
[ROW][C]0.03[/C][C]393.45089174[/C][C]3.85493584288831[/C][/ROW]
[ROW][C]0.04[/C][C]395.696188648089[/C][C]3.00424967153902[/C][/ROW]
[ROW][C]0.05[/C][C]397.375311716757[/C][C]2.83031542265205[/C][/ROW]
[ROW][C]0.06[/C][C]398.797581098661[/C][C]3.21326299111421[/C][/ROW]
[ROW][C]0.07[/C][C]400.18264390655[/C][C]3.71731329066174[/C][/ROW]
[ROW][C]0.08[/C][C]401.612928174242[/C][C]4.08699899689297[/C][/ROW]
[ROW][C]0.09[/C][C]403.077539052989[/C][C]4.25518695690656[/C][/ROW]
[ROW][C]0.1[/C][C]404.531545278073[/C][C]4.26211658306409[/C][/ROW]
[ROW][C]0.11[/C][C]405.935492601491[/C][C]4.18514524625934[/C][/ROW]
[ROW][C]0.12[/C][C]407.270638848926[/C][C]4.09744779890066[/C][/ROW]
[ROW][C]0.13[/C][C]408.538484414049[/C][C]4.04799493579968[/C][/ROW]
[ROW][C]0.14[/C][C]409.754081913403[/C][C]4.0636009550293[/C][/ROW]
[ROW][C]0.15[/C][C]410.938856470673[/C][C]4.15594101885968[/C][/ROW]
[ROW][C]0.16[/C][C]412.114956903572[/C][C]4.32117695018082[/C][/ROW]
[ROW][C]0.17[/C][C]413.301175594703[/C][C]4.54295354570394[/C][/ROW]
[ROW][C]0.18[/C][C]414.510060190134[/C][C]4.79026600107387[/C][/ROW]
[ROW][C]0.19[/C][C]415.746146193874[/C][C]5.02475957077087[/C][/ROW]
[ROW][C]0.2[/C][C]417.005519497839[/C][C]5.20877835844034[/C][/ROW]
[ROW][C]0.21[/C][C]418.276854166293[/C][C]5.31360040619647[/C][/ROW]
[ROW][C]0.22[/C][C]419.543733909789[/C][C]5.32441389233706[/C][/ROW]
[ROW][C]0.23[/C][C]420.7877004385[/C][C]5.24234818961012[/C][/ROW]
[ROW][C]0.24[/C][C]421.99129082196[/C][C]5.07945624945589[/C][/ROW]
[ROW][C]0.25[/C][C]423.140404136157[/C][C]4.85881284424461[/C][/ROW]
[ROW][C]0.26[/C][C]424.225614261764[/C][C]4.60434528313938[/C][/ROW]
[ROW][C]0.27[/C][C]425.242388684679[/C][C]4.33855691248469[/C][/ROW]
[ROW][C]0.28[/C][C]426.190454224746[/C][C]4.07809081409033[/C][/ROW]
[ROW][C]0.29[/C][C]427.072694836896[/C][C]3.83348730624006[/C][/ROW]
[ROW][C]0.3[/C][C]427.893965345792[/C][C]3.6103998595276[/C][/ROW]
[ROW][C]0.31[/C][C]428.660099547835[/C][C]3.40928246829047[/C][/ROW]
[ROW][C]0.32[/C][C]429.377243584132[/C][C]3.23037424796892[/C][/ROW]
[ROW][C]0.33[/C][C]430.051511583327[/C][C]3.07398377887754[/C][/ROW]
[ROW][C]0.34[/C][C]430.688873974307[/C][C]2.93952173073383[/C][/ROW]
[ROW][C]0.35[/C][C]431.295158232732[/C][C]2.82838502001078[/C][/ROW]
[ROW][C]0.36[/C][C]431.876056872093[/C][C]2.74151440766591[/C][/ROW]
[ROW][C]0.37[/C][C]432.437078649141[/C][C]2.67925122315647[/C][/ROW]
[ROW][C]0.38[/C][C]432.983426064481[/C][C]2.63946764403346[/C][/ROW]
[ROW][C]0.39[/C][C]433.519820066115[/C][C]2.62115663610715[/C][/ROW]
[ROW][C]0.4[/C][C]434.050313267672[/C][C]2.61961392836703[/C][/ROW]
[ROW][C]0.41[/C][C]434.578134719942[/C][C]2.62999154063112[/C][/ROW]
[ROW][C]0.42[/C][C]435.105596445859[/C][C]2.64775720781297[/C][/ROW]
[ROW][C]0.43[/C][C]435.634071948947[/C][C]2.66738125272995[/C][/ROW]
[ROW][C]0.44[/C][C]436.164037984306[/C][C]2.68564003851894[/C][/ROW]
[ROW][C]0.45[/C][C]436.695159734895[/C][C]2.69865670088632[/C][/ROW]
[ROW][C]0.46[/C][C]437.226399307068[/C][C]2.70295746328772[/C][/ROW]
[ROW][C]0.47[/C][C]437.75613678003[/C][C]2.69671728577496[/C][/ROW]
[ROW][C]0.48[/C][C]438.282306607362[/C][C]2.67773268210634[/C][/ROW]
[ROW][C]0.49[/C][C]438.802562822138[/C][C]2.64497156954681[/C][/ROW]
[ROW][C]0.5[/C][C]439.314488182599[/C][C]2.5974996479234[/C][/ROW]
[ROW][C]0.51[/C][C]439.815852784206[/C][C]2.53706313859093[/C][/ROW]
[ROW][C]0.52[/C][C]440.304909335113[/C][C]2.4660385452751[/C][/ROW]
[ROW][C]0.53[/C][C]440.780691866753[/C][C]2.38928929540224[/C][/ROW]
[ROW][C]0.54[/C][C]441.24327018104[/C][C]2.31327706614981[/C][/ROW]
[ROW][C]0.55[/C][C]441.693910039492[/C][C]2.24573780357868[/C][/ROW]
[ROW][C]0.56[/C][C]442.135100852829[/C][C]2.19296612892708[/C][/ROW]
[ROW][C]0.57[/C][C]442.570435277782[/C][C]2.16141534580037[/C][/ROW]
[ROW][C]0.58[/C][C]443.004351872173[/C][C]2.15578017449709[/C][/ROW]
[ROW][C]0.59[/C][C]443.441775138548[/C][C]2.17625356252661[/C][/ROW]
[ROW][C]0.6[/C][C]443.88770129553[/C][C]2.2226822203068[/C][/ROW]
[ROW][C]0.61[/C][C]444.346781205839[/C][C]2.29113756384786[/C][/ROW]
[ROW][C]0.62[/C][C]444.822946169554[/C][C]2.3764584907201[/C][/ROW]
[ROW][C]0.63[/C][C]445.319112097664[/C][C]2.4715649673707[/C][/ROW]
[ROW][C]0.64[/C][C]445.836987109972[/C][C]2.57028792828338[/C][/ROW]
[ROW][C]0.65[/C][C]446.376998975524[/C][C]2.6652181053415[/C][/ROW]
[ROW][C]0.66[/C][C]446.938351481059[/C][C]2.74956012505996[/C][/ROW]
[ROW][C]0.67[/C][C]447.519210469573[/C][C]2.81978450875767[/C][/ROW]
[ROW][C]0.68[/C][C]448.117008729052[/C][C]2.87176783679245[/C][/ROW]
[ROW][C]0.69[/C][C]448.728843704152[/C][C]2.90454754664491[/C][/ROW]
[ROW][C]0.7[/C][C]449.351925054384[/C][C]2.92066792178074[/C][/ROW]
[ROW][C]0.71[/C][C]449.984013770029[/C][C]2.92358738901784[/C][/ROW]
[ROW][C]0.72[/C][C]450.623784185814[/C][C]2.91855342533941[/C][/ROW]
[ROW][C]0.73[/C][C]451.271037099096[/C][C]2.91179461243507[/C][/ROW]
[ROW][C]0.74[/C][C]451.926698273729[/C][C]2.90904992922508[/C][/ROW]
[ROW][C]0.75[/C][C]452.592555473608[/C][C]2.91498865917747[/C][/ROW]
[ROW][C]0.76[/C][C]453.270725150128[/C][C]2.93000347990548[/C][/ROW]
[ROW][C]0.77[/C][C]453.962903616558[/C][C]2.95250589432687[/C][/ROW]
[ROW][C]0.78[/C][C]454.66954646724[/C][C]2.97423555849727[/C][/ROW]
[ROW][C]0.79[/C][C]455.389216637342[/C][C]2.98485608534376[/C][/ROW]
[ROW][C]0.8[/C][C]456.118405867414[/C][C]2.97372866926194[/C][/ROW]
[ROW][C]0.81[/C][C]456.85211124394[/C][C]2.93178681313045[/C][/ROW]
[ROW][C]0.82[/C][C]457.585291508609[/C][C]2.85750822262644[/C][/ROW]
[ROW][C]0.83[/C][C]458.315033614817[/C][C]2.76097248012229[/C][/ROW]
[ROW][C]0.84[/C][C]459.042895419835[/C][C]2.66266190375097[/C][/ROW]
[ROW][C]0.85[/C][C]459.776591686164[/C][C]2.59090270995644[/C][/ROW]
[ROW][C]0.86[/C][C]460.530124107198[/C][C]2.57518199666573[/C][/ROW]
[ROW][C]0.87[/C][C]461.321749898368[/C][C]2.62976329319343[/C][/ROW]
[ROW][C]0.88[/C][C]462.169854278121[/C][C]2.74619716287577[/C][/ROW]
[ROW][C]0.89[/C][C]463.087695248236[/C][C]2.8908442221709[/C][/ROW]
[ROW][C]0.9[/C][C]464.07882300184[/C][C]3.01534328251011[/C][/ROW]
[ROW][C]0.91[/C][C]465.135393674584[/C][C]3.07242411184745[/C][/ROW]
[ROW][C]0.92[/C][C]466.241437643082[/C][C]3.03356841888137[/C][/ROW]
[ROW][C]0.93[/C][C]467.3824934113[/C][C]2.90321701630936[/C][/ROW]
[ROW][C]0.94[/C][C]468.561262067598[/C][C]2.72935984376889[/C][/ROW]
[ROW][C]0.95[/C][C]469.812658179647[/C][C]2.610078239693[/C][/ROW]
[ROW][C]0.96[/C][C]471.196271499174[/C][C]2.66371804732704[/C][/ROW]
[ROW][C]0.97[/C][C]472.730545401191[/C][C]2.82810669783946[/C][/ROW]
[ROW][C]0.98[/C][C]474.270632816133[/C][C]2.60462876785541[/C][/ROW]
[ROW][C]0.99[/C][C]475.464500628889[/C][C]1.45426911448466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233613&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233613&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01387.220998808695.04033964979907
0.02390.4784107088644.76112959282293
0.03393.450891743.85493584288831
0.04395.6961886480893.00424967153902
0.05397.3753117167572.83031542265205
0.06398.7975810986613.21326299111421
0.07400.182643906553.71731329066174
0.08401.6129281742424.08699899689297
0.09403.0775390529894.25518695690656
0.1404.5315452780734.26211658306409
0.11405.9354926014914.18514524625934
0.12407.2706388489264.09744779890066
0.13408.5384844140494.04799493579968
0.14409.7540819134034.0636009550293
0.15410.9388564706734.15594101885968
0.16412.1149569035724.32117695018082
0.17413.3011755947034.54295354570394
0.18414.5100601901344.79026600107387
0.19415.7461461938745.02475957077087
0.2417.0055194978395.20877835844034
0.21418.2768541662935.31360040619647
0.22419.5437339097895.32441389233706
0.23420.78770043855.24234818961012
0.24421.991290821965.07945624945589
0.25423.1404041361574.85881284424461
0.26424.2256142617644.60434528313938
0.27425.2423886846794.33855691248469
0.28426.1904542247464.07809081409033
0.29427.0726948368963.83348730624006
0.3427.8939653457923.6103998595276
0.31428.6600995478353.40928246829047
0.32429.3772435841323.23037424796892
0.33430.0515115833273.07398377887754
0.34430.6888739743072.93952173073383
0.35431.2951582327322.82838502001078
0.36431.8760568720932.74151440766591
0.37432.4370786491412.67925122315647
0.38432.9834260644812.63946764403346
0.39433.5198200661152.62115663610715
0.4434.0503132676722.61961392836703
0.41434.5781347199422.62999154063112
0.42435.1055964458592.64775720781297
0.43435.6340719489472.66738125272995
0.44436.1640379843062.68564003851894
0.45436.6951597348952.69865670088632
0.46437.2263993070682.70295746328772
0.47437.756136780032.69671728577496
0.48438.2823066073622.67773268210634
0.49438.8025628221382.64497156954681
0.5439.3144881825992.5974996479234
0.51439.8158527842062.53706313859093
0.52440.3049093351132.4660385452751
0.53440.7806918667532.38928929540224
0.54441.243270181042.31327706614981
0.55441.6939100394922.24573780357868
0.56442.1351008528292.19296612892708
0.57442.5704352777822.16141534580037
0.58443.0043518721732.15578017449709
0.59443.4417751385482.17625356252661
0.6443.887701295532.2226822203068
0.61444.3467812058392.29113756384786
0.62444.8229461695542.3764584907201
0.63445.3191120976642.4715649673707
0.64445.8369871099722.57028792828338
0.65446.3769989755242.6652181053415
0.66446.9383514810592.74956012505996
0.67447.5192104695732.81978450875767
0.68448.1170087290522.87176783679245
0.69448.7288437041522.90454754664491
0.7449.3519250543842.92066792178074
0.71449.9840137700292.92358738901784
0.72450.6237841858142.91855342533941
0.73451.2710370990962.91179461243507
0.74451.9266982737292.90904992922508
0.75452.5925554736082.91498865917747
0.76453.2707251501282.93000347990548
0.77453.9629036165582.95250589432687
0.78454.669546467242.97423555849727
0.79455.3892166373422.98485608534376
0.8456.1184058674142.97372866926194
0.81456.852111243942.93178681313045
0.82457.5852915086092.85750822262644
0.83458.3150336148172.76097248012229
0.84459.0428954198352.66266190375097
0.85459.7765916861642.59090270995644
0.86460.5301241071982.57518199666573
0.87461.3217498983682.62976329319343
0.88462.1698542781212.74619716287577
0.89463.0876952482362.8908442221709
0.9464.078823001843.01534328251011
0.91465.1353936745843.07242411184745
0.92466.2414376430823.03356841888137
0.93467.38249341132.90321701630936
0.94468.5612620675982.72935984376889
0.95469.8126581796472.610078239693
0.96471.1962714991742.66371804732704
0.97472.7305454011912.82810669783946
0.98474.2706328161332.60462876785541
0.99475.4645006288891.45426911448466



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')