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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 computationTue, 26 Feb 2013 09:49:04 -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/2013/Feb/26/t13618902031xxc63anhe5uhkj.htm/, Retrieved Sat, 04 May 2024 23:43:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207046, Retrieved Sat, 04 May 2024 23:43:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsyasmien.naciri@student.kdg.be
Estimated Impact92

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] [] [2013-02-26 14:49:04] [d06e8713ea83045a022ab0926c74dd0b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
528
533
536
537
524
536
587
597
581
564
558
575
580
575
563
552
537
545
601
604
586
564
549
551
556
548
540
531
521
519
572
581
563
548
539
541
562
559
546
536
528
530
582
599
584
571
563
565

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207046&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]2 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=207046&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207046&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01472.3872292776299.23125744965564
0.02477.7182703578969.66345839892873
0.03483.3660195591899.47210013343649
0.04488.4389792413418.75325212336863
0.05492.7190547875887.98793955779149
0.06496.2937751250797.38357520664539
0.07499.3188692723576.89887516269299
0.08501.9263381161096.46270612017756
0.09504.2093245470756.0574056842672
0.1506.2332571588285.69859683257413
0.11508.048493132535.40463831649233
0.12509.6971384935135.18261841842124
0.13511.2150895182845.02544406505422
0.14512.6321879842644.92202987686969
0.15513.9723373631454.85900584702083
0.16515.2540452356584.83001104308158
0.17516.4911243525184.82637181832699
0.18517.6932106964674.83818369770703
0.19518.8660156991154.85168203356191
0.2520.0115035280494.84994893079827
0.21521.1282907008084.81767568102904
0.22522.2124739398014.74368327361504
0.23523.2588820897364.62718402375606
0.24524.2625379736144.47530979792563
0.25525.2200016232244.30164761121641
0.26526.1302842003154.12284264763885
0.27526.9951492421973.95917483141269
0.28527.8187948970723.82095249194316
0.29528.607071659733.71602444418919
0.3529.3664872452893.64302882204249
0.31530.1032658670243.59741934923489
0.32530.8226735658093.56923282470785
0.33531.5287224760463.5494877498879
0.34532.224258281983.53529616198804
0.35532.911344660883.52152758387827
0.36533.5918032724033.51148577191524
0.37534.2677528467773.50911129811946
0.38534.942011403073.52329688441645
0.39535.6182708648953.56014158686543
0.4536.3010103808263.62490925368071
0.41536.9951712171393.72116669546621
0.42537.7056623601893.84488588880449
0.43538.4367954553863.99140642707655
0.44539.191757417834.15097765793001
0.45539.9722191992124.31264299536902
0.46540.7781527246124.46608804078457
0.47541.6078899458054.60020807896628
0.48542.4584147198394.70910880593653
0.49543.3258369048354.78844416032115
0.5544.2059655986364.83941348887533
0.51545.0948806365294.8657679144778
0.52545.9894019406594.87472499408278
0.53546.8873755673214.87335314231273
0.54547.7877301359524.86983788804875
0.55548.690301083164.87001085083846
0.56549.595463911434.87518692162773
0.57550.5036520731564.88514467177024
0.58551.4148532501384.89392686403365
0.59552.3281766027134.8955060489746
0.6553.241565151334.8813304745548
0.61554.1516982541654.84342655457926
0.62555.0540978060874.77592752613471
0.63555.9434262184284.67520303062928
0.64556.81394890894.54016845065808
0.65557.6601285013334.3733006093993
0.66558.4773172890974.18005683367479
0.67559.2625115680683.97032337315867
0.68560.0151200004293.7570561248508
0.69560.7376761837953.5552501311734
0.7561.4363970781673.38668909636967
0.71562.1214638211893.27335525797124
0.72562.8068932586773.23718827885672
0.73563.5098901757543.29546147932637
0.74564.2496290764543.45609136539232
0.75565.0455076836913.71297886439155
0.76565.9150271165544.04721253703011
0.77566.8715605478854.42848352753029
0.78567.9223439526554.81816573713353
0.79569.067036790345.17686927050637
0.8570.2971509787235.46606053724023
0.81571.5965473238245.65473644912009
0.82572.943077554435.72205871155135
0.83574.3113344384655.66066073674717
0.84575.6763742772535.4782308912915
0.85577.0181883932395.19953896874382
0.86578.3266031784934.86626333842576
0.87579.6061497457114.5369348456161
0.88580.8801978043894.28310135821784
0.89582.1931731673674.18465244981421
0.9583.6088839894894.31003952409521
0.91585.2021252400334.68785542582122
0.92587.0408935169085.26662267312223
0.93589.159678046095.88851490638336
0.94591.5318334284116.30356919359378
0.95594.0585235213336.24777793426243
0.96596.592997224045.59045319740375
0.97598.9954244688794.48509617543985
0.98601.1605788217923.40577091736767
0.99602.9356360030872.91070324518968

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 472.387229277629 & 9.23125744965564 \tabularnewline
0.02 & 477.718270357896 & 9.66345839892873 \tabularnewline
0.03 & 483.366019559189 & 9.47210013343649 \tabularnewline
0.04 & 488.438979241341 & 8.75325212336863 \tabularnewline
0.05 & 492.719054787588 & 7.98793955779149 \tabularnewline
0.06 & 496.293775125079 & 7.38357520664539 \tabularnewline
0.07 & 499.318869272357 & 6.89887516269299 \tabularnewline
0.08 & 501.926338116109 & 6.46270612017756 \tabularnewline
0.09 & 504.209324547075 & 6.0574056842672 \tabularnewline
0.1 & 506.233257158828 & 5.69859683257413 \tabularnewline
0.11 & 508.04849313253 & 5.40463831649233 \tabularnewline
0.12 & 509.697138493513 & 5.18261841842124 \tabularnewline
0.13 & 511.215089518284 & 5.02544406505422 \tabularnewline
0.14 & 512.632187984264 & 4.92202987686969 \tabularnewline
0.15 & 513.972337363145 & 4.85900584702083 \tabularnewline
0.16 & 515.254045235658 & 4.83001104308158 \tabularnewline
0.17 & 516.491124352518 & 4.82637181832699 \tabularnewline
0.18 & 517.693210696467 & 4.83818369770703 \tabularnewline
0.19 & 518.866015699115 & 4.85168203356191 \tabularnewline
0.2 & 520.011503528049 & 4.84994893079827 \tabularnewline
0.21 & 521.128290700808 & 4.81767568102904 \tabularnewline
0.22 & 522.212473939801 & 4.74368327361504 \tabularnewline
0.23 & 523.258882089736 & 4.62718402375606 \tabularnewline
0.24 & 524.262537973614 & 4.47530979792563 \tabularnewline
0.25 & 525.220001623224 & 4.30164761121641 \tabularnewline
0.26 & 526.130284200315 & 4.12284264763885 \tabularnewline
0.27 & 526.995149242197 & 3.95917483141269 \tabularnewline
0.28 & 527.818794897072 & 3.82095249194316 \tabularnewline
0.29 & 528.60707165973 & 3.71602444418919 \tabularnewline
0.3 & 529.366487245289 & 3.64302882204249 \tabularnewline
0.31 & 530.103265867024 & 3.59741934923489 \tabularnewline
0.32 & 530.822673565809 & 3.56923282470785 \tabularnewline
0.33 & 531.528722476046 & 3.5494877498879 \tabularnewline
0.34 & 532.22425828198 & 3.53529616198804 \tabularnewline
0.35 & 532.91134466088 & 3.52152758387827 \tabularnewline
0.36 & 533.591803272403 & 3.51148577191524 \tabularnewline
0.37 & 534.267752846777 & 3.50911129811946 \tabularnewline
0.38 & 534.94201140307 & 3.52329688441645 \tabularnewline
0.39 & 535.618270864895 & 3.56014158686543 \tabularnewline
0.4 & 536.301010380826 & 3.62490925368071 \tabularnewline
0.41 & 536.995171217139 & 3.72116669546621 \tabularnewline
0.42 & 537.705662360189 & 3.84488588880449 \tabularnewline
0.43 & 538.436795455386 & 3.99140642707655 \tabularnewline
0.44 & 539.19175741783 & 4.15097765793001 \tabularnewline
0.45 & 539.972219199212 & 4.31264299536902 \tabularnewline
0.46 & 540.778152724612 & 4.46608804078457 \tabularnewline
0.47 & 541.607889945805 & 4.60020807896628 \tabularnewline
0.48 & 542.458414719839 & 4.70910880593653 \tabularnewline
0.49 & 543.325836904835 & 4.78844416032115 \tabularnewline
0.5 & 544.205965598636 & 4.83941348887533 \tabularnewline
0.51 & 545.094880636529 & 4.8657679144778 \tabularnewline
0.52 & 545.989401940659 & 4.87472499408278 \tabularnewline
0.53 & 546.887375567321 & 4.87335314231273 \tabularnewline
0.54 & 547.787730135952 & 4.86983788804875 \tabularnewline
0.55 & 548.69030108316 & 4.87001085083846 \tabularnewline
0.56 & 549.59546391143 & 4.87518692162773 \tabularnewline
0.57 & 550.503652073156 & 4.88514467177024 \tabularnewline
0.58 & 551.414853250138 & 4.89392686403365 \tabularnewline
0.59 & 552.328176602713 & 4.8955060489746 \tabularnewline
0.6 & 553.24156515133 & 4.8813304745548 \tabularnewline
0.61 & 554.151698254165 & 4.84342655457926 \tabularnewline
0.62 & 555.054097806087 & 4.77592752613471 \tabularnewline
0.63 & 555.943426218428 & 4.67520303062928 \tabularnewline
0.64 & 556.8139489089 & 4.54016845065808 \tabularnewline
0.65 & 557.660128501333 & 4.3733006093993 \tabularnewline
0.66 & 558.477317289097 & 4.18005683367479 \tabularnewline
0.67 & 559.262511568068 & 3.97032337315867 \tabularnewline
0.68 & 560.015120000429 & 3.7570561248508 \tabularnewline
0.69 & 560.737676183795 & 3.5552501311734 \tabularnewline
0.7 & 561.436397078167 & 3.38668909636967 \tabularnewline
0.71 & 562.121463821189 & 3.27335525797124 \tabularnewline
0.72 & 562.806893258677 & 3.23718827885672 \tabularnewline
0.73 & 563.509890175754 & 3.29546147932637 \tabularnewline
0.74 & 564.249629076454 & 3.45609136539232 \tabularnewline
0.75 & 565.045507683691 & 3.71297886439155 \tabularnewline
0.76 & 565.915027116554 & 4.04721253703011 \tabularnewline
0.77 & 566.871560547885 & 4.42848352753029 \tabularnewline
0.78 & 567.922343952655 & 4.81816573713353 \tabularnewline
0.79 & 569.06703679034 & 5.17686927050637 \tabularnewline
0.8 & 570.297150978723 & 5.46606053724023 \tabularnewline
0.81 & 571.596547323824 & 5.65473644912009 \tabularnewline
0.82 & 572.94307755443 & 5.72205871155135 \tabularnewline
0.83 & 574.311334438465 & 5.66066073674717 \tabularnewline
0.84 & 575.676374277253 & 5.4782308912915 \tabularnewline
0.85 & 577.018188393239 & 5.19953896874382 \tabularnewline
0.86 & 578.326603178493 & 4.86626333842576 \tabularnewline
0.87 & 579.606149745711 & 4.5369348456161 \tabularnewline
0.88 & 580.880197804389 & 4.28310135821784 \tabularnewline
0.89 & 582.193173167367 & 4.18465244981421 \tabularnewline
0.9 & 583.608883989489 & 4.31003952409521 \tabularnewline
0.91 & 585.202125240033 & 4.68785542582122 \tabularnewline
0.92 & 587.040893516908 & 5.26662267312223 \tabularnewline
0.93 & 589.15967804609 & 5.88851490638336 \tabularnewline
0.94 & 591.531833428411 & 6.30356919359378 \tabularnewline
0.95 & 594.058523521333 & 6.24777793426243 \tabularnewline
0.96 & 596.59299722404 & 5.59045319740375 \tabularnewline
0.97 & 598.995424468879 & 4.48509617543985 \tabularnewline
0.98 & 601.160578821792 & 3.40577091736767 \tabularnewline
0.99 & 602.935636003087 & 2.91070324518968 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207046&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]472.387229277629[/C][C]9.23125744965564[/C][/ROW]
[ROW][C]0.02[/C][C]477.718270357896[/C][C]9.66345839892873[/C][/ROW]
[ROW][C]0.03[/C][C]483.366019559189[/C][C]9.47210013343649[/C][/ROW]
[ROW][C]0.04[/C][C]488.438979241341[/C][C]8.75325212336863[/C][/ROW]
[ROW][C]0.05[/C][C]492.719054787588[/C][C]7.98793955779149[/C][/ROW]
[ROW][C]0.06[/C][C]496.293775125079[/C][C]7.38357520664539[/C][/ROW]
[ROW][C]0.07[/C][C]499.318869272357[/C][C]6.89887516269299[/C][/ROW]
[ROW][C]0.08[/C][C]501.926338116109[/C][C]6.46270612017756[/C][/ROW]
[ROW][C]0.09[/C][C]504.209324547075[/C][C]6.0574056842672[/C][/ROW]
[ROW][C]0.1[/C][C]506.233257158828[/C][C]5.69859683257413[/C][/ROW]
[ROW][C]0.11[/C][C]508.04849313253[/C][C]5.40463831649233[/C][/ROW]
[ROW][C]0.12[/C][C]509.697138493513[/C][C]5.18261841842124[/C][/ROW]
[ROW][C]0.13[/C][C]511.215089518284[/C][C]5.02544406505422[/C][/ROW]
[ROW][C]0.14[/C][C]512.632187984264[/C][C]4.92202987686969[/C][/ROW]
[ROW][C]0.15[/C][C]513.972337363145[/C][C]4.85900584702083[/C][/ROW]
[ROW][C]0.16[/C][C]515.254045235658[/C][C]4.83001104308158[/C][/ROW]
[ROW][C]0.17[/C][C]516.491124352518[/C][C]4.82637181832699[/C][/ROW]
[ROW][C]0.18[/C][C]517.693210696467[/C][C]4.83818369770703[/C][/ROW]
[ROW][C]0.19[/C][C]518.866015699115[/C][C]4.85168203356191[/C][/ROW]
[ROW][C]0.2[/C][C]520.011503528049[/C][C]4.84994893079827[/C][/ROW]
[ROW][C]0.21[/C][C]521.128290700808[/C][C]4.81767568102904[/C][/ROW]
[ROW][C]0.22[/C][C]522.212473939801[/C][C]4.74368327361504[/C][/ROW]
[ROW][C]0.23[/C][C]523.258882089736[/C][C]4.62718402375606[/C][/ROW]
[ROW][C]0.24[/C][C]524.262537973614[/C][C]4.47530979792563[/C][/ROW]
[ROW][C]0.25[/C][C]525.220001623224[/C][C]4.30164761121641[/C][/ROW]
[ROW][C]0.26[/C][C]526.130284200315[/C][C]4.12284264763885[/C][/ROW]
[ROW][C]0.27[/C][C]526.995149242197[/C][C]3.95917483141269[/C][/ROW]
[ROW][C]0.28[/C][C]527.818794897072[/C][C]3.82095249194316[/C][/ROW]
[ROW][C]0.29[/C][C]528.60707165973[/C][C]3.71602444418919[/C][/ROW]
[ROW][C]0.3[/C][C]529.366487245289[/C][C]3.64302882204249[/C][/ROW]
[ROW][C]0.31[/C][C]530.103265867024[/C][C]3.59741934923489[/C][/ROW]
[ROW][C]0.32[/C][C]530.822673565809[/C][C]3.56923282470785[/C][/ROW]
[ROW][C]0.33[/C][C]531.528722476046[/C][C]3.5494877498879[/C][/ROW]
[ROW][C]0.34[/C][C]532.22425828198[/C][C]3.53529616198804[/C][/ROW]
[ROW][C]0.35[/C][C]532.91134466088[/C][C]3.52152758387827[/C][/ROW]
[ROW][C]0.36[/C][C]533.591803272403[/C][C]3.51148577191524[/C][/ROW]
[ROW][C]0.37[/C][C]534.267752846777[/C][C]3.50911129811946[/C][/ROW]
[ROW][C]0.38[/C][C]534.94201140307[/C][C]3.52329688441645[/C][/ROW]
[ROW][C]0.39[/C][C]535.618270864895[/C][C]3.56014158686543[/C][/ROW]
[ROW][C]0.4[/C][C]536.301010380826[/C][C]3.62490925368071[/C][/ROW]
[ROW][C]0.41[/C][C]536.995171217139[/C][C]3.72116669546621[/C][/ROW]
[ROW][C]0.42[/C][C]537.705662360189[/C][C]3.84488588880449[/C][/ROW]
[ROW][C]0.43[/C][C]538.436795455386[/C][C]3.99140642707655[/C][/ROW]
[ROW][C]0.44[/C][C]539.19175741783[/C][C]4.15097765793001[/C][/ROW]
[ROW][C]0.45[/C][C]539.972219199212[/C][C]4.31264299536902[/C][/ROW]
[ROW][C]0.46[/C][C]540.778152724612[/C][C]4.46608804078457[/C][/ROW]
[ROW][C]0.47[/C][C]541.607889945805[/C][C]4.60020807896628[/C][/ROW]
[ROW][C]0.48[/C][C]542.458414719839[/C][C]4.70910880593653[/C][/ROW]
[ROW][C]0.49[/C][C]543.325836904835[/C][C]4.78844416032115[/C][/ROW]
[ROW][C]0.5[/C][C]544.205965598636[/C][C]4.83941348887533[/C][/ROW]
[ROW][C]0.51[/C][C]545.094880636529[/C][C]4.8657679144778[/C][/ROW]
[ROW][C]0.52[/C][C]545.989401940659[/C][C]4.87472499408278[/C][/ROW]
[ROW][C]0.53[/C][C]546.887375567321[/C][C]4.87335314231273[/C][/ROW]
[ROW][C]0.54[/C][C]547.787730135952[/C][C]4.86983788804875[/C][/ROW]
[ROW][C]0.55[/C][C]548.69030108316[/C][C]4.87001085083846[/C][/ROW]
[ROW][C]0.56[/C][C]549.59546391143[/C][C]4.87518692162773[/C][/ROW]
[ROW][C]0.57[/C][C]550.503652073156[/C][C]4.88514467177024[/C][/ROW]
[ROW][C]0.58[/C][C]551.414853250138[/C][C]4.89392686403365[/C][/ROW]
[ROW][C]0.59[/C][C]552.328176602713[/C][C]4.8955060489746[/C][/ROW]
[ROW][C]0.6[/C][C]553.24156515133[/C][C]4.8813304745548[/C][/ROW]
[ROW][C]0.61[/C][C]554.151698254165[/C][C]4.84342655457926[/C][/ROW]
[ROW][C]0.62[/C][C]555.054097806087[/C][C]4.77592752613471[/C][/ROW]
[ROW][C]0.63[/C][C]555.943426218428[/C][C]4.67520303062928[/C][/ROW]
[ROW][C]0.64[/C][C]556.8139489089[/C][C]4.54016845065808[/C][/ROW]
[ROW][C]0.65[/C][C]557.660128501333[/C][C]4.3733006093993[/C][/ROW]
[ROW][C]0.66[/C][C]558.477317289097[/C][C]4.18005683367479[/C][/ROW]
[ROW][C]0.67[/C][C]559.262511568068[/C][C]3.97032337315867[/C][/ROW]
[ROW][C]0.68[/C][C]560.015120000429[/C][C]3.7570561248508[/C][/ROW]
[ROW][C]0.69[/C][C]560.737676183795[/C][C]3.5552501311734[/C][/ROW]
[ROW][C]0.7[/C][C]561.436397078167[/C][C]3.38668909636967[/C][/ROW]
[ROW][C]0.71[/C][C]562.121463821189[/C][C]3.27335525797124[/C][/ROW]
[ROW][C]0.72[/C][C]562.806893258677[/C][C]3.23718827885672[/C][/ROW]
[ROW][C]0.73[/C][C]563.509890175754[/C][C]3.29546147932637[/C][/ROW]
[ROW][C]0.74[/C][C]564.249629076454[/C][C]3.45609136539232[/C][/ROW]
[ROW][C]0.75[/C][C]565.045507683691[/C][C]3.71297886439155[/C][/ROW]
[ROW][C]0.76[/C][C]565.915027116554[/C][C]4.04721253703011[/C][/ROW]
[ROW][C]0.77[/C][C]566.871560547885[/C][C]4.42848352753029[/C][/ROW]
[ROW][C]0.78[/C][C]567.922343952655[/C][C]4.81816573713353[/C][/ROW]
[ROW][C]0.79[/C][C]569.06703679034[/C][C]5.17686927050637[/C][/ROW]
[ROW][C]0.8[/C][C]570.297150978723[/C][C]5.46606053724023[/C][/ROW]
[ROW][C]0.81[/C][C]571.596547323824[/C][C]5.65473644912009[/C][/ROW]
[ROW][C]0.82[/C][C]572.94307755443[/C][C]5.72205871155135[/C][/ROW]
[ROW][C]0.83[/C][C]574.311334438465[/C][C]5.66066073674717[/C][/ROW]
[ROW][C]0.84[/C][C]575.676374277253[/C][C]5.4782308912915[/C][/ROW]
[ROW][C]0.85[/C][C]577.018188393239[/C][C]5.19953896874382[/C][/ROW]
[ROW][C]0.86[/C][C]578.326603178493[/C][C]4.86626333842576[/C][/ROW]
[ROW][C]0.87[/C][C]579.606149745711[/C][C]4.5369348456161[/C][/ROW]
[ROW][C]0.88[/C][C]580.880197804389[/C][C]4.28310135821784[/C][/ROW]
[ROW][C]0.89[/C][C]582.193173167367[/C][C]4.18465244981421[/C][/ROW]
[ROW][C]0.9[/C][C]583.608883989489[/C][C]4.31003952409521[/C][/ROW]
[ROW][C]0.91[/C][C]585.202125240033[/C][C]4.68785542582122[/C][/ROW]
[ROW][C]0.92[/C][C]587.040893516908[/C][C]5.26662267312223[/C][/ROW]
[ROW][C]0.93[/C][C]589.15967804609[/C][C]5.88851490638336[/C][/ROW]
[ROW][C]0.94[/C][C]591.531833428411[/C][C]6.30356919359378[/C][/ROW]
[ROW][C]0.95[/C][C]594.058523521333[/C][C]6.24777793426243[/C][/ROW]
[ROW][C]0.96[/C][C]596.59299722404[/C][C]5.59045319740375[/C][/ROW]
[ROW][C]0.97[/C][C]598.995424468879[/C][C]4.48509617543985[/C][/ROW]
[ROW][C]0.98[/C][C]601.160578821792[/C][C]3.40577091736767[/C][/ROW]
[ROW][C]0.99[/C][C]602.935636003087[/C][C]2.91070324518968[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207046&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207046&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
0.01472.3872292776299.23125744965564
0.02477.7182703578969.66345839892873
0.03483.3660195591899.47210013343649
0.04488.4389792413418.75325212336863
0.05492.7190547875887.98793955779149
0.06496.2937751250797.38357520664539
0.07499.3188692723576.89887516269299
0.08501.9263381161096.46270612017756
0.09504.2093245470756.0574056842672
0.1506.2332571588285.69859683257413
0.11508.048493132535.40463831649233
0.12509.6971384935135.18261841842124
0.13511.2150895182845.02544406505422
0.14512.6321879842644.92202987686969
0.15513.9723373631454.85900584702083
0.16515.2540452356584.83001104308158
0.17516.4911243525184.82637181832699
0.18517.6932106964674.83818369770703
0.19518.8660156991154.85168203356191
0.2520.0115035280494.84994893079827
0.21521.1282907008084.81767568102904
0.22522.2124739398014.74368327361504
0.23523.2588820897364.62718402375606
0.24524.2625379736144.47530979792563
0.25525.2200016232244.30164761121641
0.26526.1302842003154.12284264763885
0.27526.9951492421973.95917483141269
0.28527.8187948970723.82095249194316
0.29528.607071659733.71602444418919
0.3529.3664872452893.64302882204249
0.31530.1032658670243.59741934923489
0.32530.8226735658093.56923282470785
0.33531.5287224760463.5494877498879
0.34532.224258281983.53529616198804
0.35532.911344660883.52152758387827
0.36533.5918032724033.51148577191524
0.37534.2677528467773.50911129811946
0.38534.942011403073.52329688441645
0.39535.6182708648953.56014158686543
0.4536.3010103808263.62490925368071
0.41536.9951712171393.72116669546621
0.42537.7056623601893.84488588880449
0.43538.4367954553863.99140642707655
0.44539.191757417834.15097765793001
0.45539.9722191992124.31264299536902
0.46540.7781527246124.46608804078457
0.47541.6078899458054.60020807896628
0.48542.4584147198394.70910880593653
0.49543.3258369048354.78844416032115
0.5544.2059655986364.83941348887533
0.51545.0948806365294.8657679144778
0.52545.9894019406594.87472499408278
0.53546.8873755673214.87335314231273
0.54547.7877301359524.86983788804875
0.55548.690301083164.87001085083846
0.56549.595463911434.87518692162773
0.57550.5036520731564.88514467177024
0.58551.4148532501384.89392686403365
0.59552.3281766027134.8955060489746
0.6553.241565151334.8813304745548
0.61554.1516982541654.84342655457926
0.62555.0540978060874.77592752613471
0.63555.9434262184284.67520303062928
0.64556.81394890894.54016845065808
0.65557.6601285013334.3733006093993
0.66558.4773172890974.18005683367479
0.67559.2625115680683.97032337315867
0.68560.0151200004293.7570561248508
0.69560.7376761837953.5552501311734
0.7561.4363970781673.38668909636967
0.71562.1214638211893.27335525797124
0.72562.8068932586773.23718827885672
0.73563.5098901757543.29546147932637
0.74564.2496290764543.45609136539232
0.75565.0455076836913.71297886439155
0.76565.9150271165544.04721253703011
0.77566.8715605478854.42848352753029
0.78567.9223439526554.81816573713353
0.79569.067036790345.17686927050637
0.8570.2971509787235.46606053724023
0.81571.5965473238245.65473644912009
0.82572.943077554435.72205871155135
0.83574.3113344384655.66066073674717
0.84575.6763742772535.4782308912915
0.85577.0181883932395.19953896874382
0.86578.3266031784934.86626333842576
0.87579.6061497457114.5369348456161
0.88580.8801978043894.28310135821784
0.89582.1931731673674.18465244981421
0.9583.6088839894894.31003952409521
0.91585.2021252400334.68785542582122
0.92587.0408935169085.26662267312223
0.93589.159678046095.88851490638336
0.94591.5318334284116.30356919359378
0.95594.0585235213336.24777793426243
0.96596.592997224045.59045319740375
0.97598.9954244688794.48509617543985
0.98601.1605788217923.40577091736767
0.99602.9356360030872.91070324518968


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')