FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 09 Mar 2017 14:10:14 +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/2017/Mar/09/t1489068678fwx1pjjwa5f1be9.htm/, Retrieved Sat, 18 May 2024 20:23:10 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 18 May 2024 20:23:10 +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 
511
514
513
511
498
490
495
486
530
539
555
548
615
634
645
634
630
635
642
637
675
679
676
660
716
730
717
694
670
641
626
604
630
634
635
619
674
664
653
635
614
595
580
570
608
617
591
565
603
612
599
587
557
528
517
484
514
510
495
458

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
0.01463.38183020231421.0858164431156
0.02470.71435906797815.263173069192
0.03477.57338658808610.3912081515752
0.04482.9226061622467.48458996773231
0.05486.8480660019066.34998602020262
0.06489.8391634404646.22923711585285
0.07492.3425219004786.52647217433694
0.08494.6349690315586.96051681800729
0.09496.8492023169957.38936241627471
0.1499.0298026728737.71414094257316
0.11501.1760134759787.87033614638462
0.12503.2684451367327.84298622182895
0.13505.2861844926757.67577422017019
0.14507.2183416864077.46137431119495
0.15509.0708814495067.32258782489223
0.16510.8685661455797.3798415281536
0.17512.6523738406977.72081915448748
0.18514.4736435562698.37410093394498
0.19516.3867073905469.31347947651795
0.2518.44172121516910.4777816537625
0.21520.67895897611911.7877842102469
0.22523.12523884275713.1639882321456
0.23525.79259984603214.5298336410209
0.24528.67894661453515.8229736527602
0.25531.77014857943816.9940485359004
0.26535.04299522888718.0100201707259
0.27538.46843277138318.8559056322106
0.28542.01460359074519.5275850090846
0.29545.64934790833120.0322970877795
0.3549.34198193371620.3841195904691
0.31553.06431661940520.5969887420251
0.32556.7910071679720.6862010703104
0.33560.49941135967420.6595383757715
0.34564.16917666254820.5248885334704
0.35567.78177179577220.2844396935216
0.36571.32013550570919.9394860009483
0.37574.76854741514219.4927677279367
0.38578.11274963930718.9511092490034
0.39581.34027963428418.3234868765215
0.4584.44092683141517.6250311670708
0.41587.4072043418116.8746911970852
0.42590.2347320350416.0929019087607
0.43592.92245258301315.303410096085
0.44595.47263816631114.5287354366907
0.45597.89068238193513.7871717362445
0.46600.18470131081913.0974967004126
0.47602.36498518244412.4696407349219
0.48604.44334726564911.9148595339623
0.49606.43241270385411.4353685870394
0.5608.34488220670711.0310025950915
0.51610.19279915208410.6966207013988
0.52611.98684749170610.42328784979
0.53613.73571292375410.1980090180973
0.54615.44554916818510.0035452632663
0.55617.1196006192259.82041015540412
0.56618.7580369597659.62734902776797
0.57620.3580499968989.4055321158246
0.58621.9142456768129.13886692943397
0.59623.4193356811788.81510867325614
0.6624.8650970298388.42971308607404
0.61626.2435308611867.98649449307172
0.62627.5481200549667.49561210345271
0.63628.7750658280736.97581634266647
0.64629.9243798271396.45172107511421
0.65631.0007213335515.95393533280281
0.66632.0138964188035.51517102712199
0.67632.9789719289835.17045537195307
0.68633.9159951672794.95180903687004
0.69634.8493431774184.88683660174933
0.7635.8067482456214.9931871180507
0.71636.8180561682815.27419667654812
0.72637.913772264485.72271712746
0.73639.1234421628446.31866535204519
0.74640.4739080852287.03641353091907
0.75641.9874856676297.84202710688993
0.76643.6801285871658.69525651481322
0.77645.5596913668669.54892070871294
0.78647.6244617542410.351392522674
0.79649.8622043730411.0482360132319
0.8652.25002463145311.5873240437695
0.81654.75541269445211.923325147444
0.82657.33884760321612.0249745897417
0.83659.95831235953811.8821925388929
0.84662.5759580587211.5123582649548
0.85665.16689730405410.9679767178263
0.86667.72960895350610.3434859588589
0.87670.2965884778339.78142920524795
0.88672.9426301108979.47257644227356
0.89675.7866422173989.63234320147367
0.9678.98179888666710.4214771116019
0.91682.68944444112811.8363380214775
0.92687.0364457250413.6432664090193
0.93692.06514030641315.3907506193969
0.94697.69782258725616.4885578342558
0.95703.74416433516416.395966063005
0.96709.9609841546614.9441990756827
0.97716.11468994946612.7192064245026
0.98721.9305696755811.1913706899918
0.99726.86950755670711.538318634919

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 463.381830202314 & 21.0858164431156 \tabularnewline
0.02 & 470.714359067978 & 15.263173069192 \tabularnewline
0.03 & 477.573386588086 & 10.3912081515752 \tabularnewline
0.04 & 482.922606162246 & 7.48458996773231 \tabularnewline
0.05 & 486.848066001906 & 6.34998602020262 \tabularnewline
0.06 & 489.839163440464 & 6.22923711585285 \tabularnewline
0.07 & 492.342521900478 & 6.52647217433694 \tabularnewline
0.08 & 494.634969031558 & 6.96051681800729 \tabularnewline
0.09 & 496.849202316995 & 7.38936241627471 \tabularnewline
0.1 & 499.029802672873 & 7.71414094257316 \tabularnewline
0.11 & 501.176013475978 & 7.87033614638462 \tabularnewline
0.12 & 503.268445136732 & 7.84298622182895 \tabularnewline
0.13 & 505.286184492675 & 7.67577422017019 \tabularnewline
0.14 & 507.218341686407 & 7.46137431119495 \tabularnewline
0.15 & 509.070881449506 & 7.32258782489223 \tabularnewline
0.16 & 510.868566145579 & 7.3798415281536 \tabularnewline
0.17 & 512.652373840697 & 7.72081915448748 \tabularnewline
0.18 & 514.473643556269 & 8.37410093394498 \tabularnewline
0.19 & 516.386707390546 & 9.31347947651795 \tabularnewline
0.2 & 518.441721215169 & 10.4777816537625 \tabularnewline
0.21 & 520.678958976119 & 11.7877842102469 \tabularnewline
0.22 & 523.125238842757 & 13.1639882321456 \tabularnewline
0.23 & 525.792599846032 & 14.5298336410209 \tabularnewline
0.24 & 528.678946614535 & 15.8229736527602 \tabularnewline
0.25 & 531.770148579438 & 16.9940485359004 \tabularnewline
0.26 & 535.042995228887 & 18.0100201707259 \tabularnewline
0.27 & 538.468432771383 & 18.8559056322106 \tabularnewline
0.28 & 542.014603590745 & 19.5275850090846 \tabularnewline
0.29 & 545.649347908331 & 20.0322970877795 \tabularnewline
0.3 & 549.341981933716 & 20.3841195904691 \tabularnewline
0.31 & 553.064316619405 & 20.5969887420251 \tabularnewline
0.32 & 556.79100716797 & 20.6862010703104 \tabularnewline
0.33 & 560.499411359674 & 20.6595383757715 \tabularnewline
0.34 & 564.169176662548 & 20.5248885334704 \tabularnewline
0.35 & 567.781771795772 & 20.2844396935216 \tabularnewline
0.36 & 571.320135505709 & 19.9394860009483 \tabularnewline
0.37 & 574.768547415142 & 19.4927677279367 \tabularnewline
0.38 & 578.112749639307 & 18.9511092490034 \tabularnewline
0.39 & 581.340279634284 & 18.3234868765215 \tabularnewline
0.4 & 584.440926831415 & 17.6250311670708 \tabularnewline
0.41 & 587.40720434181 & 16.8746911970852 \tabularnewline
0.42 & 590.23473203504 & 16.0929019087607 \tabularnewline
0.43 & 592.922452583013 & 15.303410096085 \tabularnewline
0.44 & 595.472638166311 & 14.5287354366907 \tabularnewline
0.45 & 597.890682381935 & 13.7871717362445 \tabularnewline
0.46 & 600.184701310819 & 13.0974967004126 \tabularnewline
0.47 & 602.364985182444 & 12.4696407349219 \tabularnewline
0.48 & 604.443347265649 & 11.9148595339623 \tabularnewline
0.49 & 606.432412703854 & 11.4353685870394 \tabularnewline
0.5 & 608.344882206707 & 11.0310025950915 \tabularnewline
0.51 & 610.192799152084 & 10.6966207013988 \tabularnewline
0.52 & 611.986847491706 & 10.42328784979 \tabularnewline
0.53 & 613.735712923754 & 10.1980090180973 \tabularnewline
0.54 & 615.445549168185 & 10.0035452632663 \tabularnewline
0.55 & 617.119600619225 & 9.82041015540412 \tabularnewline
0.56 & 618.758036959765 & 9.62734902776797 \tabularnewline
0.57 & 620.358049996898 & 9.4055321158246 \tabularnewline
0.58 & 621.914245676812 & 9.13886692943397 \tabularnewline
0.59 & 623.419335681178 & 8.81510867325614 \tabularnewline
0.6 & 624.865097029838 & 8.42971308607404 \tabularnewline
0.61 & 626.243530861186 & 7.98649449307172 \tabularnewline
0.62 & 627.548120054966 & 7.49561210345271 \tabularnewline
0.63 & 628.775065828073 & 6.97581634266647 \tabularnewline
0.64 & 629.924379827139 & 6.45172107511421 \tabularnewline
0.65 & 631.000721333551 & 5.95393533280281 \tabularnewline
0.66 & 632.013896418803 & 5.51517102712199 \tabularnewline
0.67 & 632.978971928983 & 5.17045537195307 \tabularnewline
0.68 & 633.915995167279 & 4.95180903687004 \tabularnewline
0.69 & 634.849343177418 & 4.88683660174933 \tabularnewline
0.7 & 635.806748245621 & 4.9931871180507 \tabularnewline
0.71 & 636.818056168281 & 5.27419667654812 \tabularnewline
0.72 & 637.91377226448 & 5.72271712746 \tabularnewline
0.73 & 639.123442162844 & 6.31866535204519 \tabularnewline
0.74 & 640.473908085228 & 7.03641353091907 \tabularnewline
0.75 & 641.987485667629 & 7.84202710688993 \tabularnewline
0.76 & 643.680128587165 & 8.69525651481322 \tabularnewline
0.77 & 645.559691366866 & 9.54892070871294 \tabularnewline
0.78 & 647.62446175424 & 10.351392522674 \tabularnewline
0.79 & 649.86220437304 & 11.0482360132319 \tabularnewline
0.8 & 652.250024631453 & 11.5873240437695 \tabularnewline
0.81 & 654.755412694452 & 11.923325147444 \tabularnewline
0.82 & 657.338847603216 & 12.0249745897417 \tabularnewline
0.83 & 659.958312359538 & 11.8821925388929 \tabularnewline
0.84 & 662.57595805872 & 11.5123582649548 \tabularnewline
0.85 & 665.166897304054 & 10.9679767178263 \tabularnewline
0.86 & 667.729608953506 & 10.3434859588589 \tabularnewline
0.87 & 670.296588477833 & 9.78142920524795 \tabularnewline
0.88 & 672.942630110897 & 9.47257644227356 \tabularnewline
0.89 & 675.786642217398 & 9.63234320147367 \tabularnewline
0.9 & 678.981798886667 & 10.4214771116019 \tabularnewline
0.91 & 682.689444441128 & 11.8363380214775 \tabularnewline
0.92 & 687.03644572504 & 13.6432664090193 \tabularnewline
0.93 & 692.065140306413 & 15.3907506193969 \tabularnewline
0.94 & 697.697822587256 & 16.4885578342558 \tabularnewline
0.95 & 703.744164335164 & 16.395966063005 \tabularnewline
0.96 & 709.96098415466 & 14.9441990756827 \tabularnewline
0.97 & 716.114689949466 & 12.7192064245026 \tabularnewline
0.98 & 721.93056967558 & 11.1913706899918 \tabularnewline
0.99 & 726.869507556707 & 11.538318634919 \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]463.381830202314[/C][C]21.0858164431156[/C][/ROW]
[ROW][C]0.02[/C][C]470.714359067978[/C][C]15.263173069192[/C][/ROW]
[ROW][C]0.03[/C][C]477.573386588086[/C][C]10.3912081515752[/C][/ROW]
[ROW][C]0.04[/C][C]482.922606162246[/C][C]7.48458996773231[/C][/ROW]
[ROW][C]0.05[/C][C]486.848066001906[/C][C]6.34998602020262[/C][/ROW]
[ROW][C]0.06[/C][C]489.839163440464[/C][C]6.22923711585285[/C][/ROW]
[ROW][C]0.07[/C][C]492.342521900478[/C][C]6.52647217433694[/C][/ROW]
[ROW][C]0.08[/C][C]494.634969031558[/C][C]6.96051681800729[/C][/ROW]
[ROW][C]0.09[/C][C]496.849202316995[/C][C]7.38936241627471[/C][/ROW]
[ROW][C]0.1[/C][C]499.029802672873[/C][C]7.71414094257316[/C][/ROW]
[ROW][C]0.11[/C][C]501.176013475978[/C][C]7.87033614638462[/C][/ROW]
[ROW][C]0.12[/C][C]503.268445136732[/C][C]7.84298622182895[/C][/ROW]
[ROW][C]0.13[/C][C]505.286184492675[/C][C]7.67577422017019[/C][/ROW]
[ROW][C]0.14[/C][C]507.218341686407[/C][C]7.46137431119495[/C][/ROW]
[ROW][C]0.15[/C][C]509.070881449506[/C][C]7.32258782489223[/C][/ROW]
[ROW][C]0.16[/C][C]510.868566145579[/C][C]7.3798415281536[/C][/ROW]
[ROW][C]0.17[/C][C]512.652373840697[/C][C]7.72081915448748[/C][/ROW]
[ROW][C]0.18[/C][C]514.473643556269[/C][C]8.37410093394498[/C][/ROW]
[ROW][C]0.19[/C][C]516.386707390546[/C][C]9.31347947651795[/C][/ROW]
[ROW][C]0.2[/C][C]518.441721215169[/C][C]10.4777816537625[/C][/ROW]
[ROW][C]0.21[/C][C]520.678958976119[/C][C]11.7877842102469[/C][/ROW]
[ROW][C]0.22[/C][C]523.125238842757[/C][C]13.1639882321456[/C][/ROW]
[ROW][C]0.23[/C][C]525.792599846032[/C][C]14.5298336410209[/C][/ROW]
[ROW][C]0.24[/C][C]528.678946614535[/C][C]15.8229736527602[/C][/ROW]
[ROW][C]0.25[/C][C]531.770148579438[/C][C]16.9940485359004[/C][/ROW]
[ROW][C]0.26[/C][C]535.042995228887[/C][C]18.0100201707259[/C][/ROW]
[ROW][C]0.27[/C][C]538.468432771383[/C][C]18.8559056322106[/C][/ROW]
[ROW][C]0.28[/C][C]542.014603590745[/C][C]19.5275850090846[/C][/ROW]
[ROW][C]0.29[/C][C]545.649347908331[/C][C]20.0322970877795[/C][/ROW]
[ROW][C]0.3[/C][C]549.341981933716[/C][C]20.3841195904691[/C][/ROW]
[ROW][C]0.31[/C][C]553.064316619405[/C][C]20.5969887420251[/C][/ROW]
[ROW][C]0.32[/C][C]556.79100716797[/C][C]20.6862010703104[/C][/ROW]
[ROW][C]0.33[/C][C]560.499411359674[/C][C]20.6595383757715[/C][/ROW]
[ROW][C]0.34[/C][C]564.169176662548[/C][C]20.5248885334704[/C][/ROW]
[ROW][C]0.35[/C][C]567.781771795772[/C][C]20.2844396935216[/C][/ROW]
[ROW][C]0.36[/C][C]571.320135505709[/C][C]19.9394860009483[/C][/ROW]
[ROW][C]0.37[/C][C]574.768547415142[/C][C]19.4927677279367[/C][/ROW]
[ROW][C]0.38[/C][C]578.112749639307[/C][C]18.9511092490034[/C][/ROW]
[ROW][C]0.39[/C][C]581.340279634284[/C][C]18.3234868765215[/C][/ROW]
[ROW][C]0.4[/C][C]584.440926831415[/C][C]17.6250311670708[/C][/ROW]
[ROW][C]0.41[/C][C]587.40720434181[/C][C]16.8746911970852[/C][/ROW]
[ROW][C]0.42[/C][C]590.23473203504[/C][C]16.0929019087607[/C][/ROW]
[ROW][C]0.43[/C][C]592.922452583013[/C][C]15.303410096085[/C][/ROW]
[ROW][C]0.44[/C][C]595.472638166311[/C][C]14.5287354366907[/C][/ROW]
[ROW][C]0.45[/C][C]597.890682381935[/C][C]13.7871717362445[/C][/ROW]
[ROW][C]0.46[/C][C]600.184701310819[/C][C]13.0974967004126[/C][/ROW]
[ROW][C]0.47[/C][C]602.364985182444[/C][C]12.4696407349219[/C][/ROW]
[ROW][C]0.48[/C][C]604.443347265649[/C][C]11.9148595339623[/C][/ROW]
[ROW][C]0.49[/C][C]606.432412703854[/C][C]11.4353685870394[/C][/ROW]
[ROW][C]0.5[/C][C]608.344882206707[/C][C]11.0310025950915[/C][/ROW]
[ROW][C]0.51[/C][C]610.192799152084[/C][C]10.6966207013988[/C][/ROW]
[ROW][C]0.52[/C][C]611.986847491706[/C][C]10.42328784979[/C][/ROW]
[ROW][C]0.53[/C][C]613.735712923754[/C][C]10.1980090180973[/C][/ROW]
[ROW][C]0.54[/C][C]615.445549168185[/C][C]10.0035452632663[/C][/ROW]
[ROW][C]0.55[/C][C]617.119600619225[/C][C]9.82041015540412[/C][/ROW]
[ROW][C]0.56[/C][C]618.758036959765[/C][C]9.62734902776797[/C][/ROW]
[ROW][C]0.57[/C][C]620.358049996898[/C][C]9.4055321158246[/C][/ROW]
[ROW][C]0.58[/C][C]621.914245676812[/C][C]9.13886692943397[/C][/ROW]
[ROW][C]0.59[/C][C]623.419335681178[/C][C]8.81510867325614[/C][/ROW]
[ROW][C]0.6[/C][C]624.865097029838[/C][C]8.42971308607404[/C][/ROW]
[ROW][C]0.61[/C][C]626.243530861186[/C][C]7.98649449307172[/C][/ROW]
[ROW][C]0.62[/C][C]627.548120054966[/C][C]7.49561210345271[/C][/ROW]
[ROW][C]0.63[/C][C]628.775065828073[/C][C]6.97581634266647[/C][/ROW]
[ROW][C]0.64[/C][C]629.924379827139[/C][C]6.45172107511421[/C][/ROW]
[ROW][C]0.65[/C][C]631.000721333551[/C][C]5.95393533280281[/C][/ROW]
[ROW][C]0.66[/C][C]632.013896418803[/C][C]5.51517102712199[/C][/ROW]
[ROW][C]0.67[/C][C]632.978971928983[/C][C]5.17045537195307[/C][/ROW]
[ROW][C]0.68[/C][C]633.915995167279[/C][C]4.95180903687004[/C][/ROW]
[ROW][C]0.69[/C][C]634.849343177418[/C][C]4.88683660174933[/C][/ROW]
[ROW][C]0.7[/C][C]635.806748245621[/C][C]4.9931871180507[/C][/ROW]
[ROW][C]0.71[/C][C]636.818056168281[/C][C]5.27419667654812[/C][/ROW]
[ROW][C]0.72[/C][C]637.91377226448[/C][C]5.72271712746[/C][/ROW]
[ROW][C]0.73[/C][C]639.123442162844[/C][C]6.31866535204519[/C][/ROW]
[ROW][C]0.74[/C][C]640.473908085228[/C][C]7.03641353091907[/C][/ROW]
[ROW][C]0.75[/C][C]641.987485667629[/C][C]7.84202710688993[/C][/ROW]
[ROW][C]0.76[/C][C]643.680128587165[/C][C]8.69525651481322[/C][/ROW]
[ROW][C]0.77[/C][C]645.559691366866[/C][C]9.54892070871294[/C][/ROW]
[ROW][C]0.78[/C][C]647.62446175424[/C][C]10.351392522674[/C][/ROW]
[ROW][C]0.79[/C][C]649.86220437304[/C][C]11.0482360132319[/C][/ROW]
[ROW][C]0.8[/C][C]652.250024631453[/C][C]11.5873240437695[/C][/ROW]
[ROW][C]0.81[/C][C]654.755412694452[/C][C]11.923325147444[/C][/ROW]
[ROW][C]0.82[/C][C]657.338847603216[/C][C]12.0249745897417[/C][/ROW]
[ROW][C]0.83[/C][C]659.958312359538[/C][C]11.8821925388929[/C][/ROW]
[ROW][C]0.84[/C][C]662.57595805872[/C][C]11.5123582649548[/C][/ROW]
[ROW][C]0.85[/C][C]665.166897304054[/C][C]10.9679767178263[/C][/ROW]
[ROW][C]0.86[/C][C]667.729608953506[/C][C]10.3434859588589[/C][/ROW]
[ROW][C]0.87[/C][C]670.296588477833[/C][C]9.78142920524795[/C][/ROW]
[ROW][C]0.88[/C][C]672.942630110897[/C][C]9.47257644227356[/C][/ROW]
[ROW][C]0.89[/C][C]675.786642217398[/C][C]9.63234320147367[/C][/ROW]
[ROW][C]0.9[/C][C]678.981798886667[/C][C]10.4214771116019[/C][/ROW]
[ROW][C]0.91[/C][C]682.689444441128[/C][C]11.8363380214775[/C][/ROW]
[ROW][C]0.92[/C][C]687.03644572504[/C][C]13.6432664090193[/C][/ROW]
[ROW][C]0.93[/C][C]692.065140306413[/C][C]15.3907506193969[/C][/ROW]
[ROW][C]0.94[/C][C]697.697822587256[/C][C]16.4885578342558[/C][/ROW]
[ROW][C]0.95[/C][C]703.744164335164[/C][C]16.395966063005[/C][/ROW]
[ROW][C]0.96[/C][C]709.96098415466[/C][C]14.9441990756827[/C][/ROW]
[ROW][C]0.97[/C][C]716.114689949466[/C][C]12.7192064245026[/C][/ROW]
[ROW][C]0.98[/C][C]721.93056967558[/C][C]11.1913706899918[/C][/ROW]
[ROW][C]0.99[/C][C]726.869507556707[/C][C]11.538318634919[/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
0.01463.38183020231421.0858164431156
0.02470.71435906797815.263173069192
0.03477.57338658808610.3912081515752
0.04482.9226061622467.48458996773231
0.05486.8480660019066.34998602020262
0.06489.8391634404646.22923711585285
0.07492.3425219004786.52647217433694
0.08494.6349690315586.96051681800729
0.09496.8492023169957.38936241627471
0.1499.0298026728737.71414094257316
0.11501.1760134759787.87033614638462
0.12503.2684451367327.84298622182895
0.13505.2861844926757.67577422017019
0.14507.2183416864077.46137431119495
0.15509.0708814495067.32258782489223
0.16510.8685661455797.3798415281536
0.17512.6523738406977.72081915448748
0.18514.4736435562698.37410093394498
0.19516.3867073905469.31347947651795
0.2518.44172121516910.4777816537625
0.21520.67895897611911.7877842102469
0.22523.12523884275713.1639882321456
0.23525.79259984603214.5298336410209
0.24528.67894661453515.8229736527602
0.25531.77014857943816.9940485359004
0.26535.04299522888718.0100201707259
0.27538.46843277138318.8559056322106
0.28542.01460359074519.5275850090846
0.29545.64934790833120.0322970877795
0.3549.34198193371620.3841195904691
0.31553.06431661940520.5969887420251
0.32556.7910071679720.6862010703104
0.33560.49941135967420.6595383757715
0.34564.16917666254820.5248885334704
0.35567.78177179577220.2844396935216
0.36571.32013550570919.9394860009483
0.37574.76854741514219.4927677279367
0.38578.11274963930718.9511092490034
0.39581.34027963428418.3234868765215
0.4584.44092683141517.6250311670708
0.41587.4072043418116.8746911970852
0.42590.2347320350416.0929019087607
0.43592.92245258301315.303410096085
0.44595.47263816631114.5287354366907
0.45597.89068238193513.7871717362445
0.46600.18470131081913.0974967004126
0.47602.36498518244412.4696407349219
0.48604.44334726564911.9148595339623
0.49606.43241270385411.4353685870394
0.5608.34488220670711.0310025950915
0.51610.19279915208410.6966207013988
0.52611.98684749170610.42328784979
0.53613.73571292375410.1980090180973
0.54615.44554916818510.0035452632663
0.55617.1196006192259.82041015540412
0.56618.7580369597659.62734902776797
0.57620.3580499968989.4055321158246
0.58621.9142456768129.13886692943397
0.59623.4193356811788.81510867325614
0.6624.8650970298388.42971308607404
0.61626.2435308611867.98649449307172
0.62627.5481200549667.49561210345271
0.63628.7750658280736.97581634266647
0.64629.9243798271396.45172107511421
0.65631.0007213335515.95393533280281
0.66632.0138964188035.51517102712199
0.67632.9789719289835.17045537195307
0.68633.9159951672794.95180903687004
0.69634.8493431774184.88683660174933
0.7635.8067482456214.9931871180507
0.71636.8180561682815.27419667654812
0.72637.913772264485.72271712746
0.73639.1234421628446.31866535204519
0.74640.4739080852287.03641353091907
0.75641.9874856676297.84202710688993
0.76643.6801285871658.69525651481322
0.77645.5596913668669.54892070871294
0.78647.6244617542410.351392522674
0.79649.8622043730411.0482360132319
0.8652.25002463145311.5873240437695
0.81654.75541269445211.923325147444
0.82657.33884760321612.0249745897417
0.83659.95831235953811.8821925388929
0.84662.5759580587211.5123582649548
0.85665.16689730405410.9679767178263
0.86667.72960895350610.3434859588589
0.87670.2965884778339.78142920524795
0.88672.9426301108979.47257644227356
0.89675.7866422173989.63234320147367
0.9678.98179888666710.4214771116019
0.91682.68944444112811.8363380214775
0.92687.0364457250413.6432664090193
0.93692.06514030641315.3907506193969
0.94697.69782258725616.4885578342558
0.95703.74416433516416.395966063005
0.96709.9609841546614.9441990756827
0.97716.11468994946612.7192064245026
0.98721.9305696755811.1913706899918
0.99726.86950755670711.538318634919


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')