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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 12 Mar 2009 06:29:19 -0600
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/Mar/12/t12368610086dlxt331sop8px8.htm/, Retrieved Thu, 02 May 2024 13:54:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38984, Retrieved Thu, 02 May 2024 13:54:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180

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] [opgave 4.4 umran ...] [2009-03-12 12:29:19] [35929c65abb99b6a5fe7f94d9e3dcf69] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
580
579
572
560
551
537
541
588
607
599
578
563
566
561
554
540
526
512
505
554
584
569
540
522
526
527
516
503
489
479
475
524
552
532
511
492
492
493
481
462
457
442
439
488
521
501
485
464
460
467
460
448
443
436
431
484
510
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516

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=38984&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=38984&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38984&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
0.01435.0052966782744.19205242420979
0.02439.9369810022164.78220446314062
0.03444.5464090855756.06804695138659
0.04449.0732819854976.58587593343976
0.05453.1932745902685.99673205261585
0.06456.5971263362395.10378860245873
0.07459.3543402659114.63655055253229
0.08461.7444431748054.68193890233544
0.09464.0060665175934.95645482045117
0.1466.2465448137625.2134571867609
0.11468.479265034925.38017520083969
0.12470.6917054158475.51598828351776
0.13472.8867422755925.70272420557819
0.14475.086978207835.97431790732711
0.15477.3183718969346.29953014471443
0.16479.593311426036.61139982089089
0.17481.9042117847966.84897255222348
0.18484.2282908252736.98530900202021
0.19486.5380259872367.02825542325798
0.2488.8104382136797.00852077604583
0.21491.0306556030676.95484889422044
0.22493.1893885727066.87113689801358
0.23495.2775467395626.74146033038674
0.24497.2822271411626.5388022953657
0.25499.1865353071116.25220861782742
0.26500.972856631725.88882230975794
0.27502.6273357566195.47275110017878
0.28504.1433267020325.03752089418452
0.29505.5228239388234.61625206611127
0.3506.7761312211364.23629091879238
0.31507.9204923629973.92137895240251
0.32508.9781802415073.68929651126037
0.33509.9741843849113.55065170282782
0.34510.9335882283023.5010301439396
0.35511.8789785212443.52822133750844
0.36512.8284663791113.61045927097295
0.37513.7948341874443.72441230056468
0.38514.7859308007843.85341509167341
0.39515.8059535551583.98801920708370
0.4516.8569825460354.12759949743447
0.41517.9402264720864.27012727960612
0.42519.0568100190674.41784129702533
0.43520.2083123393444.57116468639194
0.44521.3973907734734.7344236878346
0.45522.6286098082554.91632204899497
0.46523.9091970184985.13143458696188
0.47525.2491611906465.39253526725205
0.48526.6602771957235.70713432613672
0.49528.1538930919396.06546032352026
0.5529.7381206320436.4472797606384
0.51531.4153778739496.82023978023433
0.52533.1811964914817.15443352107595
0.53535.0246799935337.42581660354535
0.54536.9302742204987.62241985264733
0.55538.879986682727.7401517937905
0.56540.8551544978137.7853748013518
0.57542.8373113292377.76089793906395
0.58544.8083490991487.6635622479883
0.59546.7506059887987.49644731686669
0.6548.647477925137.26294528629564
0.61550.4846956057966.97487611484663
0.62552.2518549580856.65208034076783
0.63553.9435112133326.31600698471213
0.64555.5593221657065.98988308256979
0.65557.103222228165.6887947454073
0.66558.5820904463285.41721031701797
0.67560.0045441421275.18033501372513
0.68561.3802779203584.97870471663562
0.69562.719955500914.8160481805307
0.7564.0353246029694.6965762609746
0.71565.3391429412304.62442269640247
0.72566.6446693057094.59828348170441
0.73567.9647434797814.61345136619309
0.74569.3106986323914.66204106116963
0.75570.691455045194.73109193766621
0.76572.1131535194584.80935670091458
0.77573.5796041376364.88733012771941
0.78575.0935604540824.96338217471777
0.79576.6582874390255.03808157738015
0.8578.2782454778395.1204320063492
0.81579.9575510075315.2079629491104
0.82581.6958465843915.28365499460792
0.83583.4832466204545.30755354754843
0.84585.297947503725.24048252691874
0.85587.1104493198855.06234518691125
0.86588.8967554444174.80164879281212
0.87590.6599851558834.55135528986294
0.88592.4550175141994.46733844800092
0.89594.4021710707264.73356996400353
0.9596.6667389362635.42938069545448
0.91599.3881297973136.36193148867085
0.92602.5844959387987.09191918194762
0.93606.1141546816667.21732049031557
0.94609.7588280624856.72868525327339
0.95613.365847030995.99443172808453
0.96616.9129407169995.27856007448264
0.97620.4847448768614.64297340335678
0.98624.1207959009784.03258841302909
0.99627.3429846896022.533416968428

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 435.005296678274 & 4.19205242420979 \tabularnewline
0.02 & 439.936981002216 & 4.78220446314062 \tabularnewline
0.03 & 444.546409085575 & 6.06804695138659 \tabularnewline
0.04 & 449.073281985497 & 6.58587593343976 \tabularnewline
0.05 & 453.193274590268 & 5.99673205261585 \tabularnewline
0.06 & 456.597126336239 & 5.10378860245873 \tabularnewline
0.07 & 459.354340265911 & 4.63655055253229 \tabularnewline
0.08 & 461.744443174805 & 4.68193890233544 \tabularnewline
0.09 & 464.006066517593 & 4.95645482045117 \tabularnewline
0.1 & 466.246544813762 & 5.2134571867609 \tabularnewline
0.11 & 468.47926503492 & 5.38017520083969 \tabularnewline
0.12 & 470.691705415847 & 5.51598828351776 \tabularnewline
0.13 & 472.886742275592 & 5.70272420557819 \tabularnewline
0.14 & 475.08697820783 & 5.97431790732711 \tabularnewline
0.15 & 477.318371896934 & 6.29953014471443 \tabularnewline
0.16 & 479.59331142603 & 6.61139982089089 \tabularnewline
0.17 & 481.904211784796 & 6.84897255222348 \tabularnewline
0.18 & 484.228290825273 & 6.98530900202021 \tabularnewline
0.19 & 486.538025987236 & 7.02825542325798 \tabularnewline
0.2 & 488.810438213679 & 7.00852077604583 \tabularnewline
0.21 & 491.030655603067 & 6.95484889422044 \tabularnewline
0.22 & 493.189388572706 & 6.87113689801358 \tabularnewline
0.23 & 495.277546739562 & 6.74146033038674 \tabularnewline
0.24 & 497.282227141162 & 6.5388022953657 \tabularnewline
0.25 & 499.186535307111 & 6.25220861782742 \tabularnewline
0.26 & 500.97285663172 & 5.88882230975794 \tabularnewline
0.27 & 502.627335756619 & 5.47275110017878 \tabularnewline
0.28 & 504.143326702032 & 5.03752089418452 \tabularnewline
0.29 & 505.522823938823 & 4.61625206611127 \tabularnewline
0.3 & 506.776131221136 & 4.23629091879238 \tabularnewline
0.31 & 507.920492362997 & 3.92137895240251 \tabularnewline
0.32 & 508.978180241507 & 3.68929651126037 \tabularnewline
0.33 & 509.974184384911 & 3.55065170282782 \tabularnewline
0.34 & 510.933588228302 & 3.5010301439396 \tabularnewline
0.35 & 511.878978521244 & 3.52822133750844 \tabularnewline
0.36 & 512.828466379111 & 3.61045927097295 \tabularnewline
0.37 & 513.794834187444 & 3.72441230056468 \tabularnewline
0.38 & 514.785930800784 & 3.85341509167341 \tabularnewline
0.39 & 515.805953555158 & 3.98801920708370 \tabularnewline
0.4 & 516.856982546035 & 4.12759949743447 \tabularnewline
0.41 & 517.940226472086 & 4.27012727960612 \tabularnewline
0.42 & 519.056810019067 & 4.41784129702533 \tabularnewline
0.43 & 520.208312339344 & 4.57116468639194 \tabularnewline
0.44 & 521.397390773473 & 4.7344236878346 \tabularnewline
0.45 & 522.628609808255 & 4.91632204899497 \tabularnewline
0.46 & 523.909197018498 & 5.13143458696188 \tabularnewline
0.47 & 525.249161190646 & 5.39253526725205 \tabularnewline
0.48 & 526.660277195723 & 5.70713432613672 \tabularnewline
0.49 & 528.153893091939 & 6.06546032352026 \tabularnewline
0.5 & 529.738120632043 & 6.4472797606384 \tabularnewline
0.51 & 531.415377873949 & 6.82023978023433 \tabularnewline
0.52 & 533.181196491481 & 7.15443352107595 \tabularnewline
0.53 & 535.024679993533 & 7.42581660354535 \tabularnewline
0.54 & 536.930274220498 & 7.62241985264733 \tabularnewline
0.55 & 538.87998668272 & 7.7401517937905 \tabularnewline
0.56 & 540.855154497813 & 7.7853748013518 \tabularnewline
0.57 & 542.837311329237 & 7.76089793906395 \tabularnewline
0.58 & 544.808349099148 & 7.6635622479883 \tabularnewline
0.59 & 546.750605988798 & 7.49644731686669 \tabularnewline
0.6 & 548.64747792513 & 7.26294528629564 \tabularnewline
0.61 & 550.484695605796 & 6.97487611484663 \tabularnewline
0.62 & 552.251854958085 & 6.65208034076783 \tabularnewline
0.63 & 553.943511213332 & 6.31600698471213 \tabularnewline
0.64 & 555.559322165706 & 5.98988308256979 \tabularnewline
0.65 & 557.10322222816 & 5.6887947454073 \tabularnewline
0.66 & 558.582090446328 & 5.41721031701797 \tabularnewline
0.67 & 560.004544142127 & 5.18033501372513 \tabularnewline
0.68 & 561.380277920358 & 4.97870471663562 \tabularnewline
0.69 & 562.71995550091 & 4.8160481805307 \tabularnewline
0.7 & 564.035324602969 & 4.6965762609746 \tabularnewline
0.71 & 565.339142941230 & 4.62442269640247 \tabularnewline
0.72 & 566.644669305709 & 4.59828348170441 \tabularnewline
0.73 & 567.964743479781 & 4.61345136619309 \tabularnewline
0.74 & 569.310698632391 & 4.66204106116963 \tabularnewline
0.75 & 570.69145504519 & 4.73109193766621 \tabularnewline
0.76 & 572.113153519458 & 4.80935670091458 \tabularnewline
0.77 & 573.579604137636 & 4.88733012771941 \tabularnewline
0.78 & 575.093560454082 & 4.96338217471777 \tabularnewline
0.79 & 576.658287439025 & 5.03808157738015 \tabularnewline
0.8 & 578.278245477839 & 5.1204320063492 \tabularnewline
0.81 & 579.957551007531 & 5.2079629491104 \tabularnewline
0.82 & 581.695846584391 & 5.28365499460792 \tabularnewline
0.83 & 583.483246620454 & 5.30755354754843 \tabularnewline
0.84 & 585.29794750372 & 5.24048252691874 \tabularnewline
0.85 & 587.110449319885 & 5.06234518691125 \tabularnewline
0.86 & 588.896755444417 & 4.80164879281212 \tabularnewline
0.87 & 590.659985155883 & 4.55135528986294 \tabularnewline
0.88 & 592.455017514199 & 4.46733844800092 \tabularnewline
0.89 & 594.402171070726 & 4.73356996400353 \tabularnewline
0.9 & 596.666738936263 & 5.42938069545448 \tabularnewline
0.91 & 599.388129797313 & 6.36193148867085 \tabularnewline
0.92 & 602.584495938798 & 7.09191918194762 \tabularnewline
0.93 & 606.114154681666 & 7.21732049031557 \tabularnewline
0.94 & 609.758828062485 & 6.72868525327339 \tabularnewline
0.95 & 613.36584703099 & 5.99443172808453 \tabularnewline
0.96 & 616.912940716999 & 5.27856007448264 \tabularnewline
0.97 & 620.484744876861 & 4.64297340335678 \tabularnewline
0.98 & 624.120795900978 & 4.03258841302909 \tabularnewline
0.99 & 627.342984689602 & 2.533416968428 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38984&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]435.005296678274[/C][C]4.19205242420979[/C][/ROW]
[ROW][C]0.02[/C][C]439.936981002216[/C][C]4.78220446314062[/C][/ROW]
[ROW][C]0.03[/C][C]444.546409085575[/C][C]6.06804695138659[/C][/ROW]
[ROW][C]0.04[/C][C]449.073281985497[/C][C]6.58587593343976[/C][/ROW]
[ROW][C]0.05[/C][C]453.193274590268[/C][C]5.99673205261585[/C][/ROW]
[ROW][C]0.06[/C][C]456.597126336239[/C][C]5.10378860245873[/C][/ROW]
[ROW][C]0.07[/C][C]459.354340265911[/C][C]4.63655055253229[/C][/ROW]
[ROW][C]0.08[/C][C]461.744443174805[/C][C]4.68193890233544[/C][/ROW]
[ROW][C]0.09[/C][C]464.006066517593[/C][C]4.95645482045117[/C][/ROW]
[ROW][C]0.1[/C][C]466.246544813762[/C][C]5.2134571867609[/C][/ROW]
[ROW][C]0.11[/C][C]468.47926503492[/C][C]5.38017520083969[/C][/ROW]
[ROW][C]0.12[/C][C]470.691705415847[/C][C]5.51598828351776[/C][/ROW]
[ROW][C]0.13[/C][C]472.886742275592[/C][C]5.70272420557819[/C][/ROW]
[ROW][C]0.14[/C][C]475.08697820783[/C][C]5.97431790732711[/C][/ROW]
[ROW][C]0.15[/C][C]477.318371896934[/C][C]6.29953014471443[/C][/ROW]
[ROW][C]0.16[/C][C]479.59331142603[/C][C]6.61139982089089[/C][/ROW]
[ROW][C]0.17[/C][C]481.904211784796[/C][C]6.84897255222348[/C][/ROW]
[ROW][C]0.18[/C][C]484.228290825273[/C][C]6.98530900202021[/C][/ROW]
[ROW][C]0.19[/C][C]486.538025987236[/C][C]7.02825542325798[/C][/ROW]
[ROW][C]0.2[/C][C]488.810438213679[/C][C]7.00852077604583[/C][/ROW]
[ROW][C]0.21[/C][C]491.030655603067[/C][C]6.95484889422044[/C][/ROW]
[ROW][C]0.22[/C][C]493.189388572706[/C][C]6.87113689801358[/C][/ROW]
[ROW][C]0.23[/C][C]495.277546739562[/C][C]6.74146033038674[/C][/ROW]
[ROW][C]0.24[/C][C]497.282227141162[/C][C]6.5388022953657[/C][/ROW]
[ROW][C]0.25[/C][C]499.186535307111[/C][C]6.25220861782742[/C][/ROW]
[ROW][C]0.26[/C][C]500.97285663172[/C][C]5.88882230975794[/C][/ROW]
[ROW][C]0.27[/C][C]502.627335756619[/C][C]5.47275110017878[/C][/ROW]
[ROW][C]0.28[/C][C]504.143326702032[/C][C]5.03752089418452[/C][/ROW]
[ROW][C]0.29[/C][C]505.522823938823[/C][C]4.61625206611127[/C][/ROW]
[ROW][C]0.3[/C][C]506.776131221136[/C][C]4.23629091879238[/C][/ROW]
[ROW][C]0.31[/C][C]507.920492362997[/C][C]3.92137895240251[/C][/ROW]
[ROW][C]0.32[/C][C]508.978180241507[/C][C]3.68929651126037[/C][/ROW]
[ROW][C]0.33[/C][C]509.974184384911[/C][C]3.55065170282782[/C][/ROW]
[ROW][C]0.34[/C][C]510.933588228302[/C][C]3.5010301439396[/C][/ROW]
[ROW][C]0.35[/C][C]511.878978521244[/C][C]3.52822133750844[/C][/ROW]
[ROW][C]0.36[/C][C]512.828466379111[/C][C]3.61045927097295[/C][/ROW]
[ROW][C]0.37[/C][C]513.794834187444[/C][C]3.72441230056468[/C][/ROW]
[ROW][C]0.38[/C][C]514.785930800784[/C][C]3.85341509167341[/C][/ROW]
[ROW][C]0.39[/C][C]515.805953555158[/C][C]3.98801920708370[/C][/ROW]
[ROW][C]0.4[/C][C]516.856982546035[/C][C]4.12759949743447[/C][/ROW]
[ROW][C]0.41[/C][C]517.940226472086[/C][C]4.27012727960612[/C][/ROW]
[ROW][C]0.42[/C][C]519.056810019067[/C][C]4.41784129702533[/C][/ROW]
[ROW][C]0.43[/C][C]520.208312339344[/C][C]4.57116468639194[/C][/ROW]
[ROW][C]0.44[/C][C]521.397390773473[/C][C]4.7344236878346[/C][/ROW]
[ROW][C]0.45[/C][C]522.628609808255[/C][C]4.91632204899497[/C][/ROW]
[ROW][C]0.46[/C][C]523.909197018498[/C][C]5.13143458696188[/C][/ROW]
[ROW][C]0.47[/C][C]525.249161190646[/C][C]5.39253526725205[/C][/ROW]
[ROW][C]0.48[/C][C]526.660277195723[/C][C]5.70713432613672[/C][/ROW]
[ROW][C]0.49[/C][C]528.153893091939[/C][C]6.06546032352026[/C][/ROW]
[ROW][C]0.5[/C][C]529.738120632043[/C][C]6.4472797606384[/C][/ROW]
[ROW][C]0.51[/C][C]531.415377873949[/C][C]6.82023978023433[/C][/ROW]
[ROW][C]0.52[/C][C]533.181196491481[/C][C]7.15443352107595[/C][/ROW]
[ROW][C]0.53[/C][C]535.024679993533[/C][C]7.42581660354535[/C][/ROW]
[ROW][C]0.54[/C][C]536.930274220498[/C][C]7.62241985264733[/C][/ROW]
[ROW][C]0.55[/C][C]538.87998668272[/C][C]7.7401517937905[/C][/ROW]
[ROW][C]0.56[/C][C]540.855154497813[/C][C]7.7853748013518[/C][/ROW]
[ROW][C]0.57[/C][C]542.837311329237[/C][C]7.76089793906395[/C][/ROW]
[ROW][C]0.58[/C][C]544.808349099148[/C][C]7.6635622479883[/C][/ROW]
[ROW][C]0.59[/C][C]546.750605988798[/C][C]7.49644731686669[/C][/ROW]
[ROW][C]0.6[/C][C]548.64747792513[/C][C]7.26294528629564[/C][/ROW]
[ROW][C]0.61[/C][C]550.484695605796[/C][C]6.97487611484663[/C][/ROW]
[ROW][C]0.62[/C][C]552.251854958085[/C][C]6.65208034076783[/C][/ROW]
[ROW][C]0.63[/C][C]553.943511213332[/C][C]6.31600698471213[/C][/ROW]
[ROW][C]0.64[/C][C]555.559322165706[/C][C]5.98988308256979[/C][/ROW]
[ROW][C]0.65[/C][C]557.10322222816[/C][C]5.6887947454073[/C][/ROW]
[ROW][C]0.66[/C][C]558.582090446328[/C][C]5.41721031701797[/C][/ROW]
[ROW][C]0.67[/C][C]560.004544142127[/C][C]5.18033501372513[/C][/ROW]
[ROW][C]0.68[/C][C]561.380277920358[/C][C]4.97870471663562[/C][/ROW]
[ROW][C]0.69[/C][C]562.71995550091[/C][C]4.8160481805307[/C][/ROW]
[ROW][C]0.7[/C][C]564.035324602969[/C][C]4.6965762609746[/C][/ROW]
[ROW][C]0.71[/C][C]565.339142941230[/C][C]4.62442269640247[/C][/ROW]
[ROW][C]0.72[/C][C]566.644669305709[/C][C]4.59828348170441[/C][/ROW]
[ROW][C]0.73[/C][C]567.964743479781[/C][C]4.61345136619309[/C][/ROW]
[ROW][C]0.74[/C][C]569.310698632391[/C][C]4.66204106116963[/C][/ROW]
[ROW][C]0.75[/C][C]570.69145504519[/C][C]4.73109193766621[/C][/ROW]
[ROW][C]0.76[/C][C]572.113153519458[/C][C]4.80935670091458[/C][/ROW]
[ROW][C]0.77[/C][C]573.579604137636[/C][C]4.88733012771941[/C][/ROW]
[ROW][C]0.78[/C][C]575.093560454082[/C][C]4.96338217471777[/C][/ROW]
[ROW][C]0.79[/C][C]576.658287439025[/C][C]5.03808157738015[/C][/ROW]
[ROW][C]0.8[/C][C]578.278245477839[/C][C]5.1204320063492[/C][/ROW]
[ROW][C]0.81[/C][C]579.957551007531[/C][C]5.2079629491104[/C][/ROW]
[ROW][C]0.82[/C][C]581.695846584391[/C][C]5.28365499460792[/C][/ROW]
[ROW][C]0.83[/C][C]583.483246620454[/C][C]5.30755354754843[/C][/ROW]
[ROW][C]0.84[/C][C]585.29794750372[/C][C]5.24048252691874[/C][/ROW]
[ROW][C]0.85[/C][C]587.110449319885[/C][C]5.06234518691125[/C][/ROW]
[ROW][C]0.86[/C][C]588.896755444417[/C][C]4.80164879281212[/C][/ROW]
[ROW][C]0.87[/C][C]590.659985155883[/C][C]4.55135528986294[/C][/ROW]
[ROW][C]0.88[/C][C]592.455017514199[/C][C]4.46733844800092[/C][/ROW]
[ROW][C]0.89[/C][C]594.402171070726[/C][C]4.73356996400353[/C][/ROW]
[ROW][C]0.9[/C][C]596.666738936263[/C][C]5.42938069545448[/C][/ROW]
[ROW][C]0.91[/C][C]599.388129797313[/C][C]6.36193148867085[/C][/ROW]
[ROW][C]0.92[/C][C]602.584495938798[/C][C]7.09191918194762[/C][/ROW]
[ROW][C]0.93[/C][C]606.114154681666[/C][C]7.21732049031557[/C][/ROW]
[ROW][C]0.94[/C][C]609.758828062485[/C][C]6.72868525327339[/C][/ROW]
[ROW][C]0.95[/C][C]613.36584703099[/C][C]5.99443172808453[/C][/ROW]
[ROW][C]0.96[/C][C]616.912940716999[/C][C]5.27856007448264[/C][/ROW]
[ROW][C]0.97[/C][C]620.484744876861[/C][C]4.64297340335678[/C][/ROW]
[ROW][C]0.98[/C][C]624.120795900978[/C][C]4.03258841302909[/C][/ROW]
[ROW][C]0.99[/C][C]627.342984689602[/C][C]2.533416968428[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38984&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38984&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
0.01435.0052966782744.19205242420979
0.02439.9369810022164.78220446314062
0.03444.5464090855756.06804695138659
0.04449.0732819854976.58587593343976
0.05453.1932745902685.99673205261585
0.06456.5971263362395.10378860245873
0.07459.3543402659114.63655055253229
0.08461.7444431748054.68193890233544
0.09464.0060665175934.95645482045117
0.1466.2465448137625.2134571867609
0.11468.479265034925.38017520083969
0.12470.6917054158475.51598828351776
0.13472.8867422755925.70272420557819
0.14475.086978207835.97431790732711
0.15477.3183718969346.29953014471443
0.16479.593311426036.61139982089089
0.17481.9042117847966.84897255222348
0.18484.2282908252736.98530900202021
0.19486.5380259872367.02825542325798
0.2488.8104382136797.00852077604583
0.21491.0306556030676.95484889422044
0.22493.1893885727066.87113689801358
0.23495.2775467395626.74146033038674
0.24497.2822271411626.5388022953657
0.25499.1865353071116.25220861782742
0.26500.972856631725.88882230975794
0.27502.6273357566195.47275110017878
0.28504.1433267020325.03752089418452
0.29505.5228239388234.61625206611127
0.3506.7761312211364.23629091879238
0.31507.9204923629973.92137895240251
0.32508.9781802415073.68929651126037
0.33509.9741843849113.55065170282782
0.34510.9335882283023.5010301439396
0.35511.8789785212443.52822133750844
0.36512.8284663791113.61045927097295
0.37513.7948341874443.72441230056468
0.38514.7859308007843.85341509167341
0.39515.8059535551583.98801920708370
0.4516.8569825460354.12759949743447
0.41517.9402264720864.27012727960612
0.42519.0568100190674.41784129702533
0.43520.2083123393444.57116468639194
0.44521.3973907734734.7344236878346
0.45522.6286098082554.91632204899497
0.46523.9091970184985.13143458696188
0.47525.2491611906465.39253526725205
0.48526.6602771957235.70713432613672
0.49528.1538930919396.06546032352026
0.5529.7381206320436.4472797606384
0.51531.4153778739496.82023978023433
0.52533.1811964914817.15443352107595
0.53535.0246799935337.42581660354535
0.54536.9302742204987.62241985264733
0.55538.879986682727.7401517937905
0.56540.8551544978137.7853748013518
0.57542.8373113292377.76089793906395
0.58544.8083490991487.6635622479883
0.59546.7506059887987.49644731686669
0.6548.647477925137.26294528629564
0.61550.4846956057966.97487611484663
0.62552.2518549580856.65208034076783
0.63553.9435112133326.31600698471213
0.64555.5593221657065.98988308256979
0.65557.103222228165.6887947454073
0.66558.5820904463285.41721031701797
0.67560.0045441421275.18033501372513
0.68561.3802779203584.97870471663562
0.69562.719955500914.8160481805307
0.7564.0353246029694.6965762609746
0.71565.3391429412304.62442269640247
0.72566.6446693057094.59828348170441
0.73567.9647434797814.61345136619309
0.74569.3106986323914.66204106116963
0.75570.691455045194.73109193766621
0.76572.1131535194584.80935670091458
0.77573.5796041376364.88733012771941
0.78575.0935604540824.96338217471777
0.79576.6582874390255.03808157738015
0.8578.2782454778395.1204320063492
0.81579.9575510075315.2079629491104
0.82581.6958465843915.28365499460792
0.83583.4832466204545.30755354754843
0.84585.297947503725.24048252691874
0.85587.1104493198855.06234518691125
0.86588.8967554444174.80164879281212
0.87590.6599851558834.55135528986294
0.88592.4550175141994.46733844800092
0.89594.4021710707264.73356996400353
0.9596.6667389362635.42938069545448
0.91599.3881297973136.36193148867085
0.92602.5844959387987.09191918194762
0.93606.1141546816667.21732049031557
0.94609.7588280624856.72868525327339
0.95613.365847030995.99443172808453
0.96616.9129407169995.27856007448264
0.97620.4847448768614.64297340335678
0.98624.1207959009784.03258841302909
0.99627.3429846896022.533416968428


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')