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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 computationFri, 04 Mar 2011 16:50:22 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/04/t1299257387rod7enceybkb2c4.htm/, Retrieved Mon, 13 May 2024 15:05:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119691, Retrieved Mon, 13 May 2024 15:05:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact219

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] [Werkloosheid 2002...] [2011-03-04 16:50:22] [3a3658f0c037a8b0bdf60c7ef617ad7f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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 time11 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 11 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119691&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119691&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119691&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 time11 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01456.1169808751392.78072860970672
0.02458.5316717393265.14344692545908
0.03461.8296101535446.57291703039407
0.04465.4483320242187.06587710030098
0.05469.0238341789217.28610542851653
0.06472.4653555232067.77282687547373
0.07475.8472253931478.6153991160807
0.08479.2669813884099.57485444738737
0.09482.75868030053810.3375923663233
0.1486.27519782177210.6835206399869
0.11489.71520962113310.5393267357284
0.12492.9645234478049.9637764062377
0.13495.9301687703839.09492410579133
0.14498.5578840372018.08663895042858
0.15500.8336732013197.06697570704217
0.16502.7754315326376.12364500196915
0.17504.4213113327955.30423559597615
0.18505.8193398017294.63279034318867
0.19507.0200288081764.1176377715397
0.2508.0717777780613.75734573574275
0.21509.0181401676253.54223636924379
0.22509.8961551180633.45091505773135
0.23510.735391392593.45296296082133
0.24511.5577055087643.51459960489107
0.25512.3778201661193.6092128173364
0.26513.2047153111733.71446240606217
0.27514.0436160892633.8237854289492
0.28514.8981875760283.94033494744574
0.29515.7724878115634.07769517268886
0.3516.6723081686314.25057625759831
0.31517.6057088480994.47475516850328
0.32518.5827708083044.76017594525872
0.33519.6147635625195.10742011777177
0.34520.7130220761915.51128609239053
0.35521.8878217080055.96139782071161
0.36523.1474588483186.44586632608337
0.37524.4976296401786.94872522393479
0.38525.9410957812517.45529969352975
0.39527.4775663541067.95307257610708
0.4529.1037160256478.42533697403485
0.41530.8132892118378.85838822376113
0.42532.597281588079.23674821713917
0.43534.4442203790669.54861310711893
0.44536.3405699019619.78319011306873
0.45538.2712698832889.9341651937246
0.46540.2203829793489.99747612406138
0.47542.1717999258729.97520936161017
0.48544.1099370600899.87296169092757
0.49546.020364852689.6968641089009
0.5547.8903233077269.45596834899396
0.51549.7091025552219.16313956072224
0.52551.4682871413488.8305150731353
0.53553.1618762549668.46988140584095
0.54554.7862989905038.09454156704086
0.55556.3403455828967.71567319764582
0.56557.8250346026027.34536673808944
0.57559.2434339290136.99398171880956
0.58560.6004508023966.66834394020449
0.59561.902604041186.37894050563755
0.6563.1577901433816.13067920614036
0.61564.375054313495.92848188304423
0.62565.5643758449475.77626885085528
0.63566.7364716565225.67721677756311
0.64567.9026090467475.63215035819614
0.65569.0743984499795.64128801628233
0.66570.263513781195.70467088449607
0.67571.4812720109865.81859281033771
0.68572.7380079631555.97777191101518
0.69574.0422154897096.17203331918034
0.7575.3994939895986.38358197777424
0.71576.8114288862696.59254784568864
0.72578.2746234264326.77142563661082
0.73579.780158537636.89385887346688
0.74581.3137632589166.93363379537283
0.75582.8569200876236.87326149775082
0.76584.3890149128196.70654866509365
0.77585.8904892918616.44132502750242
0.78587.3467794553996.1037216930247
0.79588.7526281105945.73781251353934
0.8590.1161096213755.40468854422787
0.81591.4614091261765.17923494360165
0.82592.8291148145685.13940632521995
0.83594.2727326680155.34263053969289
0.84595.8506406678935.79533291168452
0.85597.6140174572846.43348408078588
0.86599.5932589962827.13096766972683
0.87601.7872183320197.72941190992168
0.88604.1599429603618.08474002920022
0.89606.6474418746688.11096720601161
0.9609.1729005708077.80869909463026
0.91611.6651104211727.25525720733574
0.92614.0744311157956.5644146951981
0.93616.3831423764185.84324183870878
0.94618.6079609441945.18498871073965
0.95620.7879170346654.66632813073922
0.96622.9474853812384.2623639089404
0.97625.0397702765673.73956229496724
0.98626.9070012894682.82552149511691
0.99628.303402973821.66059989982472

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 456.116980875139 & 2.78072860970672 \tabularnewline
0.02 & 458.531671739326 & 5.14344692545908 \tabularnewline
0.03 & 461.829610153544 & 6.57291703039407 \tabularnewline
0.04 & 465.448332024218 & 7.06587710030098 \tabularnewline
0.05 & 469.023834178921 & 7.28610542851653 \tabularnewline
0.06 & 472.465355523206 & 7.77282687547373 \tabularnewline
0.07 & 475.847225393147 & 8.6153991160807 \tabularnewline
0.08 & 479.266981388409 & 9.57485444738737 \tabularnewline
0.09 & 482.758680300538 & 10.3375923663233 \tabularnewline
0.1 & 486.275197821772 & 10.6835206399869 \tabularnewline
0.11 & 489.715209621133 & 10.5393267357284 \tabularnewline
0.12 & 492.964523447804 & 9.9637764062377 \tabularnewline
0.13 & 495.930168770383 & 9.09492410579133 \tabularnewline
0.14 & 498.557884037201 & 8.08663895042858 \tabularnewline
0.15 & 500.833673201319 & 7.06697570704217 \tabularnewline
0.16 & 502.775431532637 & 6.12364500196915 \tabularnewline
0.17 & 504.421311332795 & 5.30423559597615 \tabularnewline
0.18 & 505.819339801729 & 4.63279034318867 \tabularnewline
0.19 & 507.020028808176 & 4.1176377715397 \tabularnewline
0.2 & 508.071777778061 & 3.75734573574275 \tabularnewline
0.21 & 509.018140167625 & 3.54223636924379 \tabularnewline
0.22 & 509.896155118063 & 3.45091505773135 \tabularnewline
0.23 & 510.73539139259 & 3.45296296082133 \tabularnewline
0.24 & 511.557705508764 & 3.51459960489107 \tabularnewline
0.25 & 512.377820166119 & 3.6092128173364 \tabularnewline
0.26 & 513.204715311173 & 3.71446240606217 \tabularnewline
0.27 & 514.043616089263 & 3.8237854289492 \tabularnewline
0.28 & 514.898187576028 & 3.94033494744574 \tabularnewline
0.29 & 515.772487811563 & 4.07769517268886 \tabularnewline
0.3 & 516.672308168631 & 4.25057625759831 \tabularnewline
0.31 & 517.605708848099 & 4.47475516850328 \tabularnewline
0.32 & 518.582770808304 & 4.76017594525872 \tabularnewline
0.33 & 519.614763562519 & 5.10742011777177 \tabularnewline
0.34 & 520.713022076191 & 5.51128609239053 \tabularnewline
0.35 & 521.887821708005 & 5.96139782071161 \tabularnewline
0.36 & 523.147458848318 & 6.44586632608337 \tabularnewline
0.37 & 524.497629640178 & 6.94872522393479 \tabularnewline
0.38 & 525.941095781251 & 7.45529969352975 \tabularnewline
0.39 & 527.477566354106 & 7.95307257610708 \tabularnewline
0.4 & 529.103716025647 & 8.42533697403485 \tabularnewline
0.41 & 530.813289211837 & 8.85838822376113 \tabularnewline
0.42 & 532.59728158807 & 9.23674821713917 \tabularnewline
0.43 & 534.444220379066 & 9.54861310711893 \tabularnewline
0.44 & 536.340569901961 & 9.78319011306873 \tabularnewline
0.45 & 538.271269883288 & 9.9341651937246 \tabularnewline
0.46 & 540.220382979348 & 9.99747612406138 \tabularnewline
0.47 & 542.171799925872 & 9.97520936161017 \tabularnewline
0.48 & 544.109937060089 & 9.87296169092757 \tabularnewline
0.49 & 546.02036485268 & 9.6968641089009 \tabularnewline
0.5 & 547.890323307726 & 9.45596834899396 \tabularnewline
0.51 & 549.709102555221 & 9.16313956072224 \tabularnewline
0.52 & 551.468287141348 & 8.8305150731353 \tabularnewline
0.53 & 553.161876254966 & 8.46988140584095 \tabularnewline
0.54 & 554.786298990503 & 8.09454156704086 \tabularnewline
0.55 & 556.340345582896 & 7.71567319764582 \tabularnewline
0.56 & 557.825034602602 & 7.34536673808944 \tabularnewline
0.57 & 559.243433929013 & 6.99398171880956 \tabularnewline
0.58 & 560.600450802396 & 6.66834394020449 \tabularnewline
0.59 & 561.90260404118 & 6.37894050563755 \tabularnewline
0.6 & 563.157790143381 & 6.13067920614036 \tabularnewline
0.61 & 564.37505431349 & 5.92848188304423 \tabularnewline
0.62 & 565.564375844947 & 5.77626885085528 \tabularnewline
0.63 & 566.736471656522 & 5.67721677756311 \tabularnewline
0.64 & 567.902609046747 & 5.63215035819614 \tabularnewline
0.65 & 569.074398449979 & 5.64128801628233 \tabularnewline
0.66 & 570.26351378119 & 5.70467088449607 \tabularnewline
0.67 & 571.481272010986 & 5.81859281033771 \tabularnewline
0.68 & 572.738007963155 & 5.97777191101518 \tabularnewline
0.69 & 574.042215489709 & 6.17203331918034 \tabularnewline
0.7 & 575.399493989598 & 6.38358197777424 \tabularnewline
0.71 & 576.811428886269 & 6.59254784568864 \tabularnewline
0.72 & 578.274623426432 & 6.77142563661082 \tabularnewline
0.73 & 579.78015853763 & 6.89385887346688 \tabularnewline
0.74 & 581.313763258916 & 6.93363379537283 \tabularnewline
0.75 & 582.856920087623 & 6.87326149775082 \tabularnewline
0.76 & 584.389014912819 & 6.70654866509365 \tabularnewline
0.77 & 585.890489291861 & 6.44132502750242 \tabularnewline
0.78 & 587.346779455399 & 6.1037216930247 \tabularnewline
0.79 & 588.752628110594 & 5.73781251353934 \tabularnewline
0.8 & 590.116109621375 & 5.40468854422787 \tabularnewline
0.81 & 591.461409126176 & 5.17923494360165 \tabularnewline
0.82 & 592.829114814568 & 5.13940632521995 \tabularnewline
0.83 & 594.272732668015 & 5.34263053969289 \tabularnewline
0.84 & 595.850640667893 & 5.79533291168452 \tabularnewline
0.85 & 597.614017457284 & 6.43348408078588 \tabularnewline
0.86 & 599.593258996282 & 7.13096766972683 \tabularnewline
0.87 & 601.787218332019 & 7.72941190992168 \tabularnewline
0.88 & 604.159942960361 & 8.08474002920022 \tabularnewline
0.89 & 606.647441874668 & 8.11096720601161 \tabularnewline
0.9 & 609.172900570807 & 7.80869909463026 \tabularnewline
0.91 & 611.665110421172 & 7.25525720733574 \tabularnewline
0.92 & 614.074431115795 & 6.5644146951981 \tabularnewline
0.93 & 616.383142376418 & 5.84324183870878 \tabularnewline
0.94 & 618.607960944194 & 5.18498871073965 \tabularnewline
0.95 & 620.787917034665 & 4.66632813073922 \tabularnewline
0.96 & 622.947485381238 & 4.2623639089404 \tabularnewline
0.97 & 625.039770276567 & 3.73956229496724 \tabularnewline
0.98 & 626.907001289468 & 2.82552149511691 \tabularnewline
0.99 & 628.30340297382 & 1.66059989982472 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119691&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]456.116980875139[/C][C]2.78072860970672[/C][/ROW]
[ROW][C]0.02[/C][C]458.531671739326[/C][C]5.14344692545908[/C][/ROW]
[ROW][C]0.03[/C][C]461.829610153544[/C][C]6.57291703039407[/C][/ROW]
[ROW][C]0.04[/C][C]465.448332024218[/C][C]7.06587710030098[/C][/ROW]
[ROW][C]0.05[/C][C]469.023834178921[/C][C]7.28610542851653[/C][/ROW]
[ROW][C]0.06[/C][C]472.465355523206[/C][C]7.77282687547373[/C][/ROW]
[ROW][C]0.07[/C][C]475.847225393147[/C][C]8.6153991160807[/C][/ROW]
[ROW][C]0.08[/C][C]479.266981388409[/C][C]9.57485444738737[/C][/ROW]
[ROW][C]0.09[/C][C]482.758680300538[/C][C]10.3375923663233[/C][/ROW]
[ROW][C]0.1[/C][C]486.275197821772[/C][C]10.6835206399869[/C][/ROW]
[ROW][C]0.11[/C][C]489.715209621133[/C][C]10.5393267357284[/C][/ROW]
[ROW][C]0.12[/C][C]492.964523447804[/C][C]9.9637764062377[/C][/ROW]
[ROW][C]0.13[/C][C]495.930168770383[/C][C]9.09492410579133[/C][/ROW]
[ROW][C]0.14[/C][C]498.557884037201[/C][C]8.08663895042858[/C][/ROW]
[ROW][C]0.15[/C][C]500.833673201319[/C][C]7.06697570704217[/C][/ROW]
[ROW][C]0.16[/C][C]502.775431532637[/C][C]6.12364500196915[/C][/ROW]
[ROW][C]0.17[/C][C]504.421311332795[/C][C]5.30423559597615[/C][/ROW]
[ROW][C]0.18[/C][C]505.819339801729[/C][C]4.63279034318867[/C][/ROW]
[ROW][C]0.19[/C][C]507.020028808176[/C][C]4.1176377715397[/C][/ROW]
[ROW][C]0.2[/C][C]508.071777778061[/C][C]3.75734573574275[/C][/ROW]
[ROW][C]0.21[/C][C]509.018140167625[/C][C]3.54223636924379[/C][/ROW]
[ROW][C]0.22[/C][C]509.896155118063[/C][C]3.45091505773135[/C][/ROW]
[ROW][C]0.23[/C][C]510.73539139259[/C][C]3.45296296082133[/C][/ROW]
[ROW][C]0.24[/C][C]511.557705508764[/C][C]3.51459960489107[/C][/ROW]
[ROW][C]0.25[/C][C]512.377820166119[/C][C]3.6092128173364[/C][/ROW]
[ROW][C]0.26[/C][C]513.204715311173[/C][C]3.71446240606217[/C][/ROW]
[ROW][C]0.27[/C][C]514.043616089263[/C][C]3.8237854289492[/C][/ROW]
[ROW][C]0.28[/C][C]514.898187576028[/C][C]3.94033494744574[/C][/ROW]
[ROW][C]0.29[/C][C]515.772487811563[/C][C]4.07769517268886[/C][/ROW]
[ROW][C]0.3[/C][C]516.672308168631[/C][C]4.25057625759831[/C][/ROW]
[ROW][C]0.31[/C][C]517.605708848099[/C][C]4.47475516850328[/C][/ROW]
[ROW][C]0.32[/C][C]518.582770808304[/C][C]4.76017594525872[/C][/ROW]
[ROW][C]0.33[/C][C]519.614763562519[/C][C]5.10742011777177[/C][/ROW]
[ROW][C]0.34[/C][C]520.713022076191[/C][C]5.51128609239053[/C][/ROW]
[ROW][C]0.35[/C][C]521.887821708005[/C][C]5.96139782071161[/C][/ROW]
[ROW][C]0.36[/C][C]523.147458848318[/C][C]6.44586632608337[/C][/ROW]
[ROW][C]0.37[/C][C]524.497629640178[/C][C]6.94872522393479[/C][/ROW]
[ROW][C]0.38[/C][C]525.941095781251[/C][C]7.45529969352975[/C][/ROW]
[ROW][C]0.39[/C][C]527.477566354106[/C][C]7.95307257610708[/C][/ROW]
[ROW][C]0.4[/C][C]529.103716025647[/C][C]8.42533697403485[/C][/ROW]
[ROW][C]0.41[/C][C]530.813289211837[/C][C]8.85838822376113[/C][/ROW]
[ROW][C]0.42[/C][C]532.59728158807[/C][C]9.23674821713917[/C][/ROW]
[ROW][C]0.43[/C][C]534.444220379066[/C][C]9.54861310711893[/C][/ROW]
[ROW][C]0.44[/C][C]536.340569901961[/C][C]9.78319011306873[/C][/ROW]
[ROW][C]0.45[/C][C]538.271269883288[/C][C]9.9341651937246[/C][/ROW]
[ROW][C]0.46[/C][C]540.220382979348[/C][C]9.99747612406138[/C][/ROW]
[ROW][C]0.47[/C][C]542.171799925872[/C][C]9.97520936161017[/C][/ROW]
[ROW][C]0.48[/C][C]544.109937060089[/C][C]9.87296169092757[/C][/ROW]
[ROW][C]0.49[/C][C]546.02036485268[/C][C]9.6968641089009[/C][/ROW]
[ROW][C]0.5[/C][C]547.890323307726[/C][C]9.45596834899396[/C][/ROW]
[ROW][C]0.51[/C][C]549.709102555221[/C][C]9.16313956072224[/C][/ROW]
[ROW][C]0.52[/C][C]551.468287141348[/C][C]8.8305150731353[/C][/ROW]
[ROW][C]0.53[/C][C]553.161876254966[/C][C]8.46988140584095[/C][/ROW]
[ROW][C]0.54[/C][C]554.786298990503[/C][C]8.09454156704086[/C][/ROW]
[ROW][C]0.55[/C][C]556.340345582896[/C][C]7.71567319764582[/C][/ROW]
[ROW][C]0.56[/C][C]557.825034602602[/C][C]7.34536673808944[/C][/ROW]
[ROW][C]0.57[/C][C]559.243433929013[/C][C]6.99398171880956[/C][/ROW]
[ROW][C]0.58[/C][C]560.600450802396[/C][C]6.66834394020449[/C][/ROW]
[ROW][C]0.59[/C][C]561.90260404118[/C][C]6.37894050563755[/C][/ROW]
[ROW][C]0.6[/C][C]563.157790143381[/C][C]6.13067920614036[/C][/ROW]
[ROW][C]0.61[/C][C]564.37505431349[/C][C]5.92848188304423[/C][/ROW]
[ROW][C]0.62[/C][C]565.564375844947[/C][C]5.77626885085528[/C][/ROW]
[ROW][C]0.63[/C][C]566.736471656522[/C][C]5.67721677756311[/C][/ROW]
[ROW][C]0.64[/C][C]567.902609046747[/C][C]5.63215035819614[/C][/ROW]
[ROW][C]0.65[/C][C]569.074398449979[/C][C]5.64128801628233[/C][/ROW]
[ROW][C]0.66[/C][C]570.26351378119[/C][C]5.70467088449607[/C][/ROW]
[ROW][C]0.67[/C][C]571.481272010986[/C][C]5.81859281033771[/C][/ROW]
[ROW][C]0.68[/C][C]572.738007963155[/C][C]5.97777191101518[/C][/ROW]
[ROW][C]0.69[/C][C]574.042215489709[/C][C]6.17203331918034[/C][/ROW]
[ROW][C]0.7[/C][C]575.399493989598[/C][C]6.38358197777424[/C][/ROW]
[ROW][C]0.71[/C][C]576.811428886269[/C][C]6.59254784568864[/C][/ROW]
[ROW][C]0.72[/C][C]578.274623426432[/C][C]6.77142563661082[/C][/ROW]
[ROW][C]0.73[/C][C]579.78015853763[/C][C]6.89385887346688[/C][/ROW]
[ROW][C]0.74[/C][C]581.313763258916[/C][C]6.93363379537283[/C][/ROW]
[ROW][C]0.75[/C][C]582.856920087623[/C][C]6.87326149775082[/C][/ROW]
[ROW][C]0.76[/C][C]584.389014912819[/C][C]6.70654866509365[/C][/ROW]
[ROW][C]0.77[/C][C]585.890489291861[/C][C]6.44132502750242[/C][/ROW]
[ROW][C]0.78[/C][C]587.346779455399[/C][C]6.1037216930247[/C][/ROW]
[ROW][C]0.79[/C][C]588.752628110594[/C][C]5.73781251353934[/C][/ROW]
[ROW][C]0.8[/C][C]590.116109621375[/C][C]5.40468854422787[/C][/ROW]
[ROW][C]0.81[/C][C]591.461409126176[/C][C]5.17923494360165[/C][/ROW]
[ROW][C]0.82[/C][C]592.829114814568[/C][C]5.13940632521995[/C][/ROW]
[ROW][C]0.83[/C][C]594.272732668015[/C][C]5.34263053969289[/C][/ROW]
[ROW][C]0.84[/C][C]595.850640667893[/C][C]5.79533291168452[/C][/ROW]
[ROW][C]0.85[/C][C]597.614017457284[/C][C]6.43348408078588[/C][/ROW]
[ROW][C]0.86[/C][C]599.593258996282[/C][C]7.13096766972683[/C][/ROW]
[ROW][C]0.87[/C][C]601.787218332019[/C][C]7.72941190992168[/C][/ROW]
[ROW][C]0.88[/C][C]604.159942960361[/C][C]8.08474002920022[/C][/ROW]
[ROW][C]0.89[/C][C]606.647441874668[/C][C]8.11096720601161[/C][/ROW]
[ROW][C]0.9[/C][C]609.172900570807[/C][C]7.80869909463026[/C][/ROW]
[ROW][C]0.91[/C][C]611.665110421172[/C][C]7.25525720733574[/C][/ROW]
[ROW][C]0.92[/C][C]614.074431115795[/C][C]6.5644146951981[/C][/ROW]
[ROW][C]0.93[/C][C]616.383142376418[/C][C]5.84324183870878[/C][/ROW]
[ROW][C]0.94[/C][C]618.607960944194[/C][C]5.18498871073965[/C][/ROW]
[ROW][C]0.95[/C][C]620.787917034665[/C][C]4.66632813073922[/C][/ROW]
[ROW][C]0.96[/C][C]622.947485381238[/C][C]4.2623639089404[/C][/ROW]
[ROW][C]0.97[/C][C]625.039770276567[/C][C]3.73956229496724[/C][/ROW]
[ROW][C]0.98[/C][C]626.907001289468[/C][C]2.82552149511691[/C][/ROW]
[ROW][C]0.99[/C][C]628.30340297382[/C][C]1.66059989982472[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119691&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119691&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
0.01456.1169808751392.78072860970672
0.02458.5316717393265.14344692545908
0.03461.8296101535446.57291703039407
0.04465.4483320242187.06587710030098
0.05469.0238341789217.28610542851653
0.06472.4653555232067.77282687547373
0.07475.8472253931478.6153991160807
0.08479.2669813884099.57485444738737
0.09482.75868030053810.3375923663233
0.1486.27519782177210.6835206399869
0.11489.71520962113310.5393267357284
0.12492.9645234478049.9637764062377
0.13495.9301687703839.09492410579133
0.14498.5578840372018.08663895042858
0.15500.8336732013197.06697570704217
0.16502.7754315326376.12364500196915
0.17504.4213113327955.30423559597615
0.18505.8193398017294.63279034318867
0.19507.0200288081764.1176377715397
0.2508.0717777780613.75734573574275
0.21509.0181401676253.54223636924379
0.22509.8961551180633.45091505773135
0.23510.735391392593.45296296082133
0.24511.5577055087643.51459960489107
0.25512.3778201661193.6092128173364
0.26513.2047153111733.71446240606217
0.27514.0436160892633.8237854289492
0.28514.8981875760283.94033494744574
0.29515.7724878115634.07769517268886
0.3516.6723081686314.25057625759831
0.31517.6057088480994.47475516850328
0.32518.5827708083044.76017594525872
0.33519.6147635625195.10742011777177
0.34520.7130220761915.51128609239053
0.35521.8878217080055.96139782071161
0.36523.1474588483186.44586632608337
0.37524.4976296401786.94872522393479
0.38525.9410957812517.45529969352975
0.39527.4775663541067.95307257610708
0.4529.1037160256478.42533697403485
0.41530.8132892118378.85838822376113
0.42532.597281588079.23674821713917
0.43534.4442203790669.54861310711893
0.44536.3405699019619.78319011306873
0.45538.2712698832889.9341651937246
0.46540.2203829793489.99747612406138
0.47542.1717999258729.97520936161017
0.48544.1099370600899.87296169092757
0.49546.020364852689.6968641089009
0.5547.8903233077269.45596834899396
0.51549.7091025552219.16313956072224
0.52551.4682871413488.8305150731353
0.53553.1618762549668.46988140584095
0.54554.7862989905038.09454156704086
0.55556.3403455828967.71567319764582
0.56557.8250346026027.34536673808944
0.57559.2434339290136.99398171880956
0.58560.6004508023966.66834394020449
0.59561.902604041186.37894050563755
0.6563.1577901433816.13067920614036
0.61564.375054313495.92848188304423
0.62565.5643758449475.77626885085528
0.63566.7364716565225.67721677756311
0.64567.9026090467475.63215035819614
0.65569.0743984499795.64128801628233
0.66570.263513781195.70467088449607
0.67571.4812720109865.81859281033771
0.68572.7380079631555.97777191101518
0.69574.0422154897096.17203331918034
0.7575.3994939895986.38358197777424
0.71576.8114288862696.59254784568864
0.72578.2746234264326.77142563661082
0.73579.780158537636.89385887346688
0.74581.3137632589166.93363379537283
0.75582.8569200876236.87326149775082
0.76584.3890149128196.70654866509365
0.77585.8904892918616.44132502750242
0.78587.3467794553996.1037216930247
0.79588.7526281105945.73781251353934
0.8590.1161096213755.40468854422787
0.81591.4614091261765.17923494360165
0.82592.8291148145685.13940632521995
0.83594.2727326680155.34263053969289
0.84595.8506406678935.79533291168452
0.85597.6140174572846.43348408078588
0.86599.5932589962827.13096766972683
0.87601.7872183320197.72941190992168
0.88604.1599429603618.08474002920022
0.89606.6474418746688.11096720601161
0.9609.1729005708077.80869909463026
0.91611.6651104211727.25525720733574
0.92614.0744311157956.5644146951981
0.93616.3831423764185.84324183870878
0.94618.6079609441945.18498871073965
0.95620.7879170346654.66632813073922
0.96622.9474853812384.2623639089404
0.97625.0397702765673.73956229496724
0.98626.9070012894682.82552149511691
0.99628.303402973821.66059989982472


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')