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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, 04 Oct 2016 18:19:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/04/t1475601605vzqzqxmcvb7qomw.htm/, Retrieved Fri, 17 May 2024 16:45:03 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 17 May 2024 16:45:03 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
480
548
634
489
399
658
497
495
445
525
565
427
477
511
538
444
559
433
459
492
526
523
636
519
671
599
579
593
684
599
721
516
556
700
579
552
734
760
714
698
800
712
782
610
596
748
581
641
598
609
526
716
552
464
631
465
539
537
488
520
477
480
645
455
379
477
424
316
381
376
389
472

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01331.33953241503745.5003106893724
0.02350.89388160140428.8246873252811
0.03366.7967870377417.3252218260231
0.04377.70837337927413.4275608556707
0.05385.57792378875714.6914934267137
0.06392.39444105601917.4158070630913
0.07399.16667101327119.7661168409615
0.08406.11613641052721.1063619760543
0.09413.09201665234721.3826423889787
0.1419.85851648526120.8474629510275
0.11426.23126853212619.8560435198237
0.12432.11553166150418.7169345841648
0.13437.49442287409617.6216997489121
0.14442.39951148995516.6418487885519
0.15446.88244604436515.7708575594648
0.16450.99573341854514.9737977057909
0.17454.78366029466614.2149565120634
0.18458.28074610431913.4753547703456
0.19461.514291733212.7533333197899
0.2464.50828232249212.060974227086
0.21467.28700570901711.4233818450073
0.22469.87764077307710.8729502288973
0.23472.31159293851410.4457051913468
0.24474.62460046412510.1762954989369
0.25476.85575210172310.0919009069385
0.26479.04563909306610.2040184517785
0.27481.23393738038510.5056756863273
0.28483.45676423184610.9723592879559
0.29485.74415864421411.5652842873961
0.3488.11799510762712.2361835636107
0.31490.59057049743212.9296750669796
0.32493.16402332620813.5931107831404
0.33495.8306648246114.1740190637393
0.34498.57422192048614.6302663945382
0.35501.37190631850814.932278568587
0.36504.19712841458315.0653611915626
0.37507.02257815126915.0345690295613
0.38509.82331785194914.8620825291927
0.39512.57950054735914.5851179670755
0.4515.27836138950714.2525348982281
0.41517.91523361395613.9167118440644
0.42520.49349825033813.6278782668454
0.43523.02355565262513.4247453531799
0.44525.52106663737613.3324750067766
0.45528.00481543697113.3576392194491
0.46530.49457383211313.4962649393721
0.47533.00929332685613.7316921314086
0.48535.56583688670714.0421559842339
0.49538.17831428262814.4091015762611
0.5540.85794177548314.814899067719
0.51543.61324077133415.2485599388439
0.52546.45034359307815.7004078628482
0.53549.37319501942716.1632845008171
0.54552.38351717671416.6262310644463
0.55555.48052076969617.0786354009464
0.56558.66046736337817.5008788479159
0.57561.91628390504517.8696180843883
0.58565.23747575520618.162669227639
0.59568.61056306920218.3599345140798
0.6572.02017673314518.4481014912193
0.61575.45080857631618.4279839351766
0.62578.88904376345618.3138265629511
0.63582.3259476325318.1367495304894
0.64585.75917439315617.9406567598194
0.65589.19434625669617.7794752870047
0.66592.64534085744217.7045897533568
0.67596.13332232449617.7608098162371
0.68599.68462811343117.9727655769739
0.69603.32792012946218.3400269251646
0.7607.09124215495218.8419128165533
0.71610.9997092395819.4380212407024
0.72615.07442538284320.0873487847838
0.73619.33287432061420.7566346616781
0.74623.7905200351321.4323952434036
0.75628.46282818247322.1230269715142
0.76633.36656047060722.8485779577523
0.77638.51917245098123.6297805837404
0.78643.93555306818124.4638574153921
0.79649.62214068333825.309202461026
0.8655.56944807817426.0794259845156
0.81661.74493688055526.6512800253143
0.82668.08869470393926.8866090103252
0.83674.51427327833926.6650284636731
0.84680.91629694640925.9130346228189
0.85687.18517051859924.6323432400827
0.86693.22762136302322.912899407329
0.87698.99012442619620.9365171051139
0.88704.48069588816818.9644783730399
0.89709.7834507047617.3070811352
0.9715.0603986105416.268978854187
0.91720.53721860251116.044817187712
0.92726.47481536332216.6122566568725
0.93733.13501416731317.7216638470839
0.94740.75223543420119.0189256878379
0.95749.51610045427220.1951770105212
0.96759.54406706928820.9985697172171
0.97770.76884166461821.0789014295154
0.98782.59936416160620.0712459288668
0.99793.32434849960618.4966594078492

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 331.339532415037 & 45.5003106893724 \tabularnewline
0.02 & 350.893881601404 & 28.8246873252811 \tabularnewline
0.03 & 366.79678703774 & 17.3252218260231 \tabularnewline
0.04 & 377.708373379274 & 13.4275608556707 \tabularnewline
0.05 & 385.577923788757 & 14.6914934267137 \tabularnewline
0.06 & 392.394441056019 & 17.4158070630913 \tabularnewline
0.07 & 399.166671013271 & 19.7661168409615 \tabularnewline
0.08 & 406.116136410527 & 21.1063619760543 \tabularnewline
0.09 & 413.092016652347 & 21.3826423889787 \tabularnewline
0.1 & 419.858516485261 & 20.8474629510275 \tabularnewline
0.11 & 426.231268532126 & 19.8560435198237 \tabularnewline
0.12 & 432.115531661504 & 18.7169345841648 \tabularnewline
0.13 & 437.494422874096 & 17.6216997489121 \tabularnewline
0.14 & 442.399511489955 & 16.6418487885519 \tabularnewline
0.15 & 446.882446044365 & 15.7708575594648 \tabularnewline
0.16 & 450.995733418545 & 14.9737977057909 \tabularnewline
0.17 & 454.783660294666 & 14.2149565120634 \tabularnewline
0.18 & 458.280746104319 & 13.4753547703456 \tabularnewline
0.19 & 461.5142917332 & 12.7533333197899 \tabularnewline
0.2 & 464.508282322492 & 12.060974227086 \tabularnewline
0.21 & 467.287005709017 & 11.4233818450073 \tabularnewline
0.22 & 469.877640773077 & 10.8729502288973 \tabularnewline
0.23 & 472.311592938514 & 10.4457051913468 \tabularnewline
0.24 & 474.624600464125 & 10.1762954989369 \tabularnewline
0.25 & 476.855752101723 & 10.0919009069385 \tabularnewline
0.26 & 479.045639093066 & 10.2040184517785 \tabularnewline
0.27 & 481.233937380385 & 10.5056756863273 \tabularnewline
0.28 & 483.456764231846 & 10.9723592879559 \tabularnewline
0.29 & 485.744158644214 & 11.5652842873961 \tabularnewline
0.3 & 488.117995107627 & 12.2361835636107 \tabularnewline
0.31 & 490.590570497432 & 12.9296750669796 \tabularnewline
0.32 & 493.164023326208 & 13.5931107831404 \tabularnewline
0.33 & 495.83066482461 & 14.1740190637393 \tabularnewline
0.34 & 498.574221920486 & 14.6302663945382 \tabularnewline
0.35 & 501.371906318508 & 14.932278568587 \tabularnewline
0.36 & 504.197128414583 & 15.0653611915626 \tabularnewline
0.37 & 507.022578151269 & 15.0345690295613 \tabularnewline
0.38 & 509.823317851949 & 14.8620825291927 \tabularnewline
0.39 & 512.579500547359 & 14.5851179670755 \tabularnewline
0.4 & 515.278361389507 & 14.2525348982281 \tabularnewline
0.41 & 517.915233613956 & 13.9167118440644 \tabularnewline
0.42 & 520.493498250338 & 13.6278782668454 \tabularnewline
0.43 & 523.023555652625 & 13.4247453531799 \tabularnewline
0.44 & 525.521066637376 & 13.3324750067766 \tabularnewline
0.45 & 528.004815436971 & 13.3576392194491 \tabularnewline
0.46 & 530.494573832113 & 13.4962649393721 \tabularnewline
0.47 & 533.009293326856 & 13.7316921314086 \tabularnewline
0.48 & 535.565836886707 & 14.0421559842339 \tabularnewline
0.49 & 538.178314282628 & 14.4091015762611 \tabularnewline
0.5 & 540.857941775483 & 14.814899067719 \tabularnewline
0.51 & 543.613240771334 & 15.2485599388439 \tabularnewline
0.52 & 546.450343593078 & 15.7004078628482 \tabularnewline
0.53 & 549.373195019427 & 16.1632845008171 \tabularnewline
0.54 & 552.383517176714 & 16.6262310644463 \tabularnewline
0.55 & 555.480520769696 & 17.0786354009464 \tabularnewline
0.56 & 558.660467363378 & 17.5008788479159 \tabularnewline
0.57 & 561.916283905045 & 17.8696180843883 \tabularnewline
0.58 & 565.237475755206 & 18.162669227639 \tabularnewline
0.59 & 568.610563069202 & 18.3599345140798 \tabularnewline
0.6 & 572.020176733145 & 18.4481014912193 \tabularnewline
0.61 & 575.450808576316 & 18.4279839351766 \tabularnewline
0.62 & 578.889043763456 & 18.3138265629511 \tabularnewline
0.63 & 582.32594763253 & 18.1367495304894 \tabularnewline
0.64 & 585.759174393156 & 17.9406567598194 \tabularnewline
0.65 & 589.194346256696 & 17.7794752870047 \tabularnewline
0.66 & 592.645340857442 & 17.7045897533568 \tabularnewline
0.67 & 596.133322324496 & 17.7608098162371 \tabularnewline
0.68 & 599.684628113431 & 17.9727655769739 \tabularnewline
0.69 & 603.327920129462 & 18.3400269251646 \tabularnewline
0.7 & 607.091242154952 & 18.8419128165533 \tabularnewline
0.71 & 610.99970923958 & 19.4380212407024 \tabularnewline
0.72 & 615.074425382843 & 20.0873487847838 \tabularnewline
0.73 & 619.332874320614 & 20.7566346616781 \tabularnewline
0.74 & 623.79052003513 & 21.4323952434036 \tabularnewline
0.75 & 628.462828182473 & 22.1230269715142 \tabularnewline
0.76 & 633.366560470607 & 22.8485779577523 \tabularnewline
0.77 & 638.519172450981 & 23.6297805837404 \tabularnewline
0.78 & 643.935553068181 & 24.4638574153921 \tabularnewline
0.79 & 649.622140683338 & 25.309202461026 \tabularnewline
0.8 & 655.569448078174 & 26.0794259845156 \tabularnewline
0.81 & 661.744936880555 & 26.6512800253143 \tabularnewline
0.82 & 668.088694703939 & 26.8866090103252 \tabularnewline
0.83 & 674.514273278339 & 26.6650284636731 \tabularnewline
0.84 & 680.916296946409 & 25.9130346228189 \tabularnewline
0.85 & 687.185170518599 & 24.6323432400827 \tabularnewline
0.86 & 693.227621363023 & 22.912899407329 \tabularnewline
0.87 & 698.990124426196 & 20.9365171051139 \tabularnewline
0.88 & 704.480695888168 & 18.9644783730399 \tabularnewline
0.89 & 709.78345070476 & 17.3070811352 \tabularnewline
0.9 & 715.06039861054 & 16.268978854187 \tabularnewline
0.91 & 720.537218602511 & 16.044817187712 \tabularnewline
0.92 & 726.474815363322 & 16.6122566568725 \tabularnewline
0.93 & 733.135014167313 & 17.7216638470839 \tabularnewline
0.94 & 740.752235434201 & 19.0189256878379 \tabularnewline
0.95 & 749.516100454272 & 20.1951770105212 \tabularnewline
0.96 & 759.544067069288 & 20.9985697172171 \tabularnewline
0.97 & 770.768841664618 & 21.0789014295154 \tabularnewline
0.98 & 782.599364161606 & 20.0712459288668 \tabularnewline
0.99 & 793.324348499606 & 18.4966594078492 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]331.339532415037[/C][C]45.5003106893724[/C][/ROW]
[ROW][C]0.02[/C][C]350.893881601404[/C][C]28.8246873252811[/C][/ROW]
[ROW][C]0.03[/C][C]366.79678703774[/C][C]17.3252218260231[/C][/ROW]
[ROW][C]0.04[/C][C]377.708373379274[/C][C]13.4275608556707[/C][/ROW]
[ROW][C]0.05[/C][C]385.577923788757[/C][C]14.6914934267137[/C][/ROW]
[ROW][C]0.06[/C][C]392.394441056019[/C][C]17.4158070630913[/C][/ROW]
[ROW][C]0.07[/C][C]399.166671013271[/C][C]19.7661168409615[/C][/ROW]
[ROW][C]0.08[/C][C]406.116136410527[/C][C]21.1063619760543[/C][/ROW]
[ROW][C]0.09[/C][C]413.092016652347[/C][C]21.3826423889787[/C][/ROW]
[ROW][C]0.1[/C][C]419.858516485261[/C][C]20.8474629510275[/C][/ROW]
[ROW][C]0.11[/C][C]426.231268532126[/C][C]19.8560435198237[/C][/ROW]
[ROW][C]0.12[/C][C]432.115531661504[/C][C]18.7169345841648[/C][/ROW]
[ROW][C]0.13[/C][C]437.494422874096[/C][C]17.6216997489121[/C][/ROW]
[ROW][C]0.14[/C][C]442.399511489955[/C][C]16.6418487885519[/C][/ROW]
[ROW][C]0.15[/C][C]446.882446044365[/C][C]15.7708575594648[/C][/ROW]
[ROW][C]0.16[/C][C]450.995733418545[/C][C]14.9737977057909[/C][/ROW]
[ROW][C]0.17[/C][C]454.783660294666[/C][C]14.2149565120634[/C][/ROW]
[ROW][C]0.18[/C][C]458.280746104319[/C][C]13.4753547703456[/C][/ROW]
[ROW][C]0.19[/C][C]461.5142917332[/C][C]12.7533333197899[/C][/ROW]
[ROW][C]0.2[/C][C]464.508282322492[/C][C]12.060974227086[/C][/ROW]
[ROW][C]0.21[/C][C]467.287005709017[/C][C]11.4233818450073[/C][/ROW]
[ROW][C]0.22[/C][C]469.877640773077[/C][C]10.8729502288973[/C][/ROW]
[ROW][C]0.23[/C][C]472.311592938514[/C][C]10.4457051913468[/C][/ROW]
[ROW][C]0.24[/C][C]474.624600464125[/C][C]10.1762954989369[/C][/ROW]
[ROW][C]0.25[/C][C]476.855752101723[/C][C]10.0919009069385[/C][/ROW]
[ROW][C]0.26[/C][C]479.045639093066[/C][C]10.2040184517785[/C][/ROW]
[ROW][C]0.27[/C][C]481.233937380385[/C][C]10.5056756863273[/C][/ROW]
[ROW][C]0.28[/C][C]483.456764231846[/C][C]10.9723592879559[/C][/ROW]
[ROW][C]0.29[/C][C]485.744158644214[/C][C]11.5652842873961[/C][/ROW]
[ROW][C]0.3[/C][C]488.117995107627[/C][C]12.2361835636107[/C][/ROW]
[ROW][C]0.31[/C][C]490.590570497432[/C][C]12.9296750669796[/C][/ROW]
[ROW][C]0.32[/C][C]493.164023326208[/C][C]13.5931107831404[/C][/ROW]
[ROW][C]0.33[/C][C]495.83066482461[/C][C]14.1740190637393[/C][/ROW]
[ROW][C]0.34[/C][C]498.574221920486[/C][C]14.6302663945382[/C][/ROW]
[ROW][C]0.35[/C][C]501.371906318508[/C][C]14.932278568587[/C][/ROW]
[ROW][C]0.36[/C][C]504.197128414583[/C][C]15.0653611915626[/C][/ROW]
[ROW][C]0.37[/C][C]507.022578151269[/C][C]15.0345690295613[/C][/ROW]
[ROW][C]0.38[/C][C]509.823317851949[/C][C]14.8620825291927[/C][/ROW]
[ROW][C]0.39[/C][C]512.579500547359[/C][C]14.5851179670755[/C][/ROW]
[ROW][C]0.4[/C][C]515.278361389507[/C][C]14.2525348982281[/C][/ROW]
[ROW][C]0.41[/C][C]517.915233613956[/C][C]13.9167118440644[/C][/ROW]
[ROW][C]0.42[/C][C]520.493498250338[/C][C]13.6278782668454[/C][/ROW]
[ROW][C]0.43[/C][C]523.023555652625[/C][C]13.4247453531799[/C][/ROW]
[ROW][C]0.44[/C][C]525.521066637376[/C][C]13.3324750067766[/C][/ROW]
[ROW][C]0.45[/C][C]528.004815436971[/C][C]13.3576392194491[/C][/ROW]
[ROW][C]0.46[/C][C]530.494573832113[/C][C]13.4962649393721[/C][/ROW]
[ROW][C]0.47[/C][C]533.009293326856[/C][C]13.7316921314086[/C][/ROW]
[ROW][C]0.48[/C][C]535.565836886707[/C][C]14.0421559842339[/C][/ROW]
[ROW][C]0.49[/C][C]538.178314282628[/C][C]14.4091015762611[/C][/ROW]
[ROW][C]0.5[/C][C]540.857941775483[/C][C]14.814899067719[/C][/ROW]
[ROW][C]0.51[/C][C]543.613240771334[/C][C]15.2485599388439[/C][/ROW]
[ROW][C]0.52[/C][C]546.450343593078[/C][C]15.7004078628482[/C][/ROW]
[ROW][C]0.53[/C][C]549.373195019427[/C][C]16.1632845008171[/C][/ROW]
[ROW][C]0.54[/C][C]552.383517176714[/C][C]16.6262310644463[/C][/ROW]
[ROW][C]0.55[/C][C]555.480520769696[/C][C]17.0786354009464[/C][/ROW]
[ROW][C]0.56[/C][C]558.660467363378[/C][C]17.5008788479159[/C][/ROW]
[ROW][C]0.57[/C][C]561.916283905045[/C][C]17.8696180843883[/C][/ROW]
[ROW][C]0.58[/C][C]565.237475755206[/C][C]18.162669227639[/C][/ROW]
[ROW][C]0.59[/C][C]568.610563069202[/C][C]18.3599345140798[/C][/ROW]
[ROW][C]0.6[/C][C]572.020176733145[/C][C]18.4481014912193[/C][/ROW]
[ROW][C]0.61[/C][C]575.450808576316[/C][C]18.4279839351766[/C][/ROW]
[ROW][C]0.62[/C][C]578.889043763456[/C][C]18.3138265629511[/C][/ROW]
[ROW][C]0.63[/C][C]582.32594763253[/C][C]18.1367495304894[/C][/ROW]
[ROW][C]0.64[/C][C]585.759174393156[/C][C]17.9406567598194[/C][/ROW]
[ROW][C]0.65[/C][C]589.194346256696[/C][C]17.7794752870047[/C][/ROW]
[ROW][C]0.66[/C][C]592.645340857442[/C][C]17.7045897533568[/C][/ROW]
[ROW][C]0.67[/C][C]596.133322324496[/C][C]17.7608098162371[/C][/ROW]
[ROW][C]0.68[/C][C]599.684628113431[/C][C]17.9727655769739[/C][/ROW]
[ROW][C]0.69[/C][C]603.327920129462[/C][C]18.3400269251646[/C][/ROW]
[ROW][C]0.7[/C][C]607.091242154952[/C][C]18.8419128165533[/C][/ROW]
[ROW][C]0.71[/C][C]610.99970923958[/C][C]19.4380212407024[/C][/ROW]
[ROW][C]0.72[/C][C]615.074425382843[/C][C]20.0873487847838[/C][/ROW]
[ROW][C]0.73[/C][C]619.332874320614[/C][C]20.7566346616781[/C][/ROW]
[ROW][C]0.74[/C][C]623.79052003513[/C][C]21.4323952434036[/C][/ROW]
[ROW][C]0.75[/C][C]628.462828182473[/C][C]22.1230269715142[/C][/ROW]
[ROW][C]0.76[/C][C]633.366560470607[/C][C]22.8485779577523[/C][/ROW]
[ROW][C]0.77[/C][C]638.519172450981[/C][C]23.6297805837404[/C][/ROW]
[ROW][C]0.78[/C][C]643.935553068181[/C][C]24.4638574153921[/C][/ROW]
[ROW][C]0.79[/C][C]649.622140683338[/C][C]25.309202461026[/C][/ROW]
[ROW][C]0.8[/C][C]655.569448078174[/C][C]26.0794259845156[/C][/ROW]
[ROW][C]0.81[/C][C]661.744936880555[/C][C]26.6512800253143[/C][/ROW]
[ROW][C]0.82[/C][C]668.088694703939[/C][C]26.8866090103252[/C][/ROW]
[ROW][C]0.83[/C][C]674.514273278339[/C][C]26.6650284636731[/C][/ROW]
[ROW][C]0.84[/C][C]680.916296946409[/C][C]25.9130346228189[/C][/ROW]
[ROW][C]0.85[/C][C]687.185170518599[/C][C]24.6323432400827[/C][/ROW]
[ROW][C]0.86[/C][C]693.227621363023[/C][C]22.912899407329[/C][/ROW]
[ROW][C]0.87[/C][C]698.990124426196[/C][C]20.9365171051139[/C][/ROW]
[ROW][C]0.88[/C][C]704.480695888168[/C][C]18.9644783730399[/C][/ROW]
[ROW][C]0.89[/C][C]709.78345070476[/C][C]17.3070811352[/C][/ROW]
[ROW][C]0.9[/C][C]715.06039861054[/C][C]16.268978854187[/C][/ROW]
[ROW][C]0.91[/C][C]720.537218602511[/C][C]16.044817187712[/C][/ROW]
[ROW][C]0.92[/C][C]726.474815363322[/C][C]16.6122566568725[/C][/ROW]
[ROW][C]0.93[/C][C]733.135014167313[/C][C]17.7216638470839[/C][/ROW]
[ROW][C]0.94[/C][C]740.752235434201[/C][C]19.0189256878379[/C][/ROW]
[ROW][C]0.95[/C][C]749.516100454272[/C][C]20.1951770105212[/C][/ROW]
[ROW][C]0.96[/C][C]759.544067069288[/C][C]20.9985697172171[/C][/ROW]
[ROW][C]0.97[/C][C]770.768841664618[/C][C]21.0789014295154[/C][/ROW]
[ROW][C]0.98[/C][C]782.599364161606[/C][C]20.0712459288668[/C][/ROW]
[ROW][C]0.99[/C][C]793.324348499606[/C][C]18.4966594078492[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01331.33953241503745.5003106893724
0.02350.89388160140428.8246873252811
0.03366.7967870377417.3252218260231
0.04377.70837337927413.4275608556707
0.05385.57792378875714.6914934267137
0.06392.39444105601917.4158070630913
0.07399.16667101327119.7661168409615
0.08406.11613641052721.1063619760543
0.09413.09201665234721.3826423889787
0.1419.85851648526120.8474629510275
0.11426.23126853212619.8560435198237
0.12432.11553166150418.7169345841648
0.13437.49442287409617.6216997489121
0.14442.39951148995516.6418487885519
0.15446.88244604436515.7708575594648
0.16450.99573341854514.9737977057909
0.17454.78366029466614.2149565120634
0.18458.28074610431913.4753547703456
0.19461.514291733212.7533333197899
0.2464.50828232249212.060974227086
0.21467.28700570901711.4233818450073
0.22469.87764077307710.8729502288973
0.23472.31159293851410.4457051913468
0.24474.62460046412510.1762954989369
0.25476.85575210172310.0919009069385
0.26479.04563909306610.2040184517785
0.27481.23393738038510.5056756863273
0.28483.45676423184610.9723592879559
0.29485.74415864421411.5652842873961
0.3488.11799510762712.2361835636107
0.31490.59057049743212.9296750669796
0.32493.16402332620813.5931107831404
0.33495.8306648246114.1740190637393
0.34498.57422192048614.6302663945382
0.35501.37190631850814.932278568587
0.36504.19712841458315.0653611915626
0.37507.02257815126915.0345690295613
0.38509.82331785194914.8620825291927
0.39512.57950054735914.5851179670755
0.4515.27836138950714.2525348982281
0.41517.91523361395613.9167118440644
0.42520.49349825033813.6278782668454
0.43523.02355565262513.4247453531799
0.44525.52106663737613.3324750067766
0.45528.00481543697113.3576392194491
0.46530.49457383211313.4962649393721
0.47533.00929332685613.7316921314086
0.48535.56583688670714.0421559842339
0.49538.17831428262814.4091015762611
0.5540.85794177548314.814899067719
0.51543.61324077133415.2485599388439
0.52546.45034359307815.7004078628482
0.53549.37319501942716.1632845008171
0.54552.38351717671416.6262310644463
0.55555.48052076969617.0786354009464
0.56558.66046736337817.5008788479159
0.57561.91628390504517.8696180843883
0.58565.23747575520618.162669227639
0.59568.61056306920218.3599345140798
0.6572.02017673314518.4481014912193
0.61575.45080857631618.4279839351766
0.62578.88904376345618.3138265629511
0.63582.3259476325318.1367495304894
0.64585.75917439315617.9406567598194
0.65589.19434625669617.7794752870047
0.66592.64534085744217.7045897533568
0.67596.13332232449617.7608098162371
0.68599.68462811343117.9727655769739
0.69603.32792012946218.3400269251646
0.7607.09124215495218.8419128165533
0.71610.9997092395819.4380212407024
0.72615.07442538284320.0873487847838
0.73619.33287432061420.7566346616781
0.74623.7905200351321.4323952434036
0.75628.46282818247322.1230269715142
0.76633.36656047060722.8485779577523
0.77638.51917245098123.6297805837404
0.78643.93555306818124.4638574153921
0.79649.62214068333825.309202461026
0.8655.56944807817426.0794259845156
0.81661.74493688055526.6512800253143
0.82668.08869470393926.8866090103252
0.83674.51427327833926.6650284636731
0.84680.91629694640925.9130346228189
0.85687.18517051859924.6323432400827
0.86693.22762136302322.912899407329
0.87698.99012442619620.9365171051139
0.88704.48069588816818.9644783730399
0.89709.7834507047617.3070811352
0.9715.0603986105416.268978854187
0.91720.53721860251116.044817187712
0.92726.47481536332216.6122566568725
0.93733.13501416731317.7216638470839
0.94740.75223543420119.0189256878379
0.95749.51610045427220.1951770105212
0.96759.54406706928820.9985697172171
0.97770.76884166461821.0789014295154
0.98782.59936416160620.0712459288668
0.99793.32434849960618.4966594078492


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')