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 computationWed, 04 Aug 2010 12:38:21 +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/2010/Aug/04/t1280925882lrgmvvdfhfdc815.htm/, Retrieved Fri, 03 May 2024 07:37:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78308, Retrieved Fri, 03 May 2024 07:37:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKeirsebelik Gilian
Estimated Impact154

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2009-10-19 08:40:03] [7d3231f13acd73ba47c9ab8bcf0bcfd9]
- RM D    [Harrell-Davis Quantiles] [tijdreeks A-Stap 11] [2010-08-04 12:38:21] [46199ea7e385a69efb178ac615a86e3a] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
668
667
666
664
684
683
668
658
659
659
660
662
659
655
655
655
674
674
665
644
638
648
641
637
651
649
652
650
661
666
652
624
613
623
615
613
621
612
611
609
631
632
624
596
584
587
581
574
593
582
571
572
594
588
571
546
535
537
527
515
545
538
520
523
541
529
504
473
455
458
450
442
469
455
439
443
461
451
425
393
366
359
351
343
366
355
344
351
367
364
353
313
278
274
261
255
274
262
265
274
291
289
277
238
203
198
190
187
201
181
181
196
207
202
186
154
120
107
99
100

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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78308&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78308&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78308&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' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.8052901530918.57748997354756
0.02113.80345321021620.9922261082449
0.03130.81759725100029.15663437997
0.04149.38076661189128.8576251142862
0.05165.30672525495722.8966051737602
0.06176.98379165047216.3963765013599
0.07185.08675466804612.4735560442816
0.08191.16265019496411.6742705348682
0.09196.61949546777513.2755554494678
0.1202.41605049371816.4423236430787
0.11209.08504399509320.3621125272934
0.12216.79206657518324.1035734027059
0.13225.38045413983026.7817344713142
0.14234.45896259534627.8788854839548
0.15243.55432318207727.4544382367
0.16252.28321059381526.105482278153
0.17260.47321559344824.7126798860408
0.18268.18932517930524.0934372504053
0.19275.67007811604924.6783166310414
0.2283.21316581574626.3659518287067
0.21291.06043638912028.647803582922
0.22299.32157642757530.8719257892818
0.23307.95512180165332.4854720677454
0.24316.80398663876733.1936059806322
0.25325.66604897105933.0257161179571
0.26334.37185451696532.3069881563595
0.27342.84261088938231.5406957654587
0.28351.11115574065431.2376505072391
0.29359.30266547897831.7257912084492
0.3367.58541481870333.0298456999641
0.31376.11053217423734.8765156180764
0.32384.96127088842836.8166574173775
0.33394.12723339791638.3871535546376
0.34403.50960725637739.2468286704375
0.35412.95312716662939.2604827342051
0.36422.29243280343838.5220148435087
0.37431.39705487328937.3104480201246
0.38440.20114767628135.9942144928307
0.39448.71025437547334.9163721123519
0.4456.98546243839834.2837548112700
0.41465.11245632292734.1082711260781
0.42473.16694462376234.2295914020249
0.43481.18776669791234.3861439130095
0.44489.16519133615534.3199599221836
0.45497.04616527891433.8546334204372
0.46504.75265782661832.9371313801517
0.47512.20558544562931.6376261427275
0.48519.34603749500330.1143409629419
0.49526.14754444814328.5570277928471
0.5532.61691265664827.1246394243636
0.51538.78521532449325.9079498262355
0.52544.69348957406524.9069243069176
0.53550.37870392098724.0556708035995
0.54555.86455417284823.2563852644741
0.55561.1592403160122.4286110412099
0.56566.25959279358921.5323885164018
0.57571.15877463101420.5755773890958
0.58575.85395497957919.6062419360843
0.59580.35095424063418.6827724824614
0.6584.66449748255517.8532809469001
0.61588.8146488692517.1346119443728
0.62592.82146989336316.5095212260815
0.63596.7004327134115.9388217007863
0.64600.46053223717515.3821980257199
0.65604.10570792829414.8175518274059
0.66607.63870755894214.2451934808549
0.67611.06551027031213.6956511739312
0.68614.39824677750513.2058361873315
0.69617.65520853765712.8067025178983
0.7620.85768835362112.5078942751609
0.71624.02455457932512.2874518815137
0.72627.1662190231112.0989847252630
0.73630.27983204642611.8778323411978
0.74633.34718249854411.5605554939344
0.75636.33608375340511.0977992007902
0.76639.20518587234910.4656963438123
0.77641.9113115653479.67196328578518
0.78644.4176945381498.75870659479056
0.79646.7010743628487.78763679022859
0.8648.7556969866516.83453404055697
0.81650.5930544658195.96369608392270
0.82652.2376029841195.21728874916729
0.83653.7202817347274.60595319289558
0.84655.072652497734.114099882466
0.85656.3241240772053.71943560776665
0.86657.5027788602673.40807516711697
0.87658.6375676020023.18527361625063
0.88659.7579150720863.05426522153709
0.89660.888074909852.99337578379733
0.9662.0383632261872.94551538615529
0.91663.2013098655982.84049954759038
0.92664.3631813336162.65533310047209
0.93665.5361395281572.46118931395486
0.94666.8027429622612.44346680640130
0.95668.3492382357442.80846294230886
0.96670.465833612053.57431767404614
0.97673.493639683374.59022360282979
0.98677.5477105623615.43580640457381
0.99681.7413025592674.21452988537798

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.805290153091 & 8.57748997354756 \tabularnewline
0.02 & 113.803453210216 & 20.9922261082449 \tabularnewline
0.03 & 130.817597251000 & 29.15663437997 \tabularnewline
0.04 & 149.380766611891 & 28.8576251142862 \tabularnewline
0.05 & 165.306725254957 & 22.8966051737602 \tabularnewline
0.06 & 176.983791650472 & 16.3963765013599 \tabularnewline
0.07 & 185.086754668046 & 12.4735560442816 \tabularnewline
0.08 & 191.162650194964 & 11.6742705348682 \tabularnewline
0.09 & 196.619495467775 & 13.2755554494678 \tabularnewline
0.1 & 202.416050493718 & 16.4423236430787 \tabularnewline
0.11 & 209.085043995093 & 20.3621125272934 \tabularnewline
0.12 & 216.792066575183 & 24.1035734027059 \tabularnewline
0.13 & 225.380454139830 & 26.7817344713142 \tabularnewline
0.14 & 234.458962595346 & 27.8788854839548 \tabularnewline
0.15 & 243.554323182077 & 27.4544382367 \tabularnewline
0.16 & 252.283210593815 & 26.105482278153 \tabularnewline
0.17 & 260.473215593448 & 24.7126798860408 \tabularnewline
0.18 & 268.189325179305 & 24.0934372504053 \tabularnewline
0.19 & 275.670078116049 & 24.6783166310414 \tabularnewline
0.2 & 283.213165815746 & 26.3659518287067 \tabularnewline
0.21 & 291.060436389120 & 28.647803582922 \tabularnewline
0.22 & 299.321576427575 & 30.8719257892818 \tabularnewline
0.23 & 307.955121801653 & 32.4854720677454 \tabularnewline
0.24 & 316.803986638767 & 33.1936059806322 \tabularnewline
0.25 & 325.666048971059 & 33.0257161179571 \tabularnewline
0.26 & 334.371854516965 & 32.3069881563595 \tabularnewline
0.27 & 342.842610889382 & 31.5406957654587 \tabularnewline
0.28 & 351.111155740654 & 31.2376505072391 \tabularnewline
0.29 & 359.302665478978 & 31.7257912084492 \tabularnewline
0.3 & 367.585414818703 & 33.0298456999641 \tabularnewline
0.31 & 376.110532174237 & 34.8765156180764 \tabularnewline
0.32 & 384.961270888428 & 36.8166574173775 \tabularnewline
0.33 & 394.127233397916 & 38.3871535546376 \tabularnewline
0.34 & 403.509607256377 & 39.2468286704375 \tabularnewline
0.35 & 412.953127166629 & 39.2604827342051 \tabularnewline
0.36 & 422.292432803438 & 38.5220148435087 \tabularnewline
0.37 & 431.397054873289 & 37.3104480201246 \tabularnewline
0.38 & 440.201147676281 & 35.9942144928307 \tabularnewline
0.39 & 448.710254375473 & 34.9163721123519 \tabularnewline
0.4 & 456.985462438398 & 34.2837548112700 \tabularnewline
0.41 & 465.112456322927 & 34.1082711260781 \tabularnewline
0.42 & 473.166944623762 & 34.2295914020249 \tabularnewline
0.43 & 481.187766697912 & 34.3861439130095 \tabularnewline
0.44 & 489.165191336155 & 34.3199599221836 \tabularnewline
0.45 & 497.046165278914 & 33.8546334204372 \tabularnewline
0.46 & 504.752657826618 & 32.9371313801517 \tabularnewline
0.47 & 512.205585445629 & 31.6376261427275 \tabularnewline
0.48 & 519.346037495003 & 30.1143409629419 \tabularnewline
0.49 & 526.147544448143 & 28.5570277928471 \tabularnewline
0.5 & 532.616912656648 & 27.1246394243636 \tabularnewline
0.51 & 538.785215324493 & 25.9079498262355 \tabularnewline
0.52 & 544.693489574065 & 24.9069243069176 \tabularnewline
0.53 & 550.378703920987 & 24.0556708035995 \tabularnewline
0.54 & 555.864554172848 & 23.2563852644741 \tabularnewline
0.55 & 561.15924031601 & 22.4286110412099 \tabularnewline
0.56 & 566.259592793589 & 21.5323885164018 \tabularnewline
0.57 & 571.158774631014 & 20.5755773890958 \tabularnewline
0.58 & 575.853954979579 & 19.6062419360843 \tabularnewline
0.59 & 580.350954240634 & 18.6827724824614 \tabularnewline
0.6 & 584.664497482555 & 17.8532809469001 \tabularnewline
0.61 & 588.81464886925 & 17.1346119443728 \tabularnewline
0.62 & 592.821469893363 & 16.5095212260815 \tabularnewline
0.63 & 596.70043271341 & 15.9388217007863 \tabularnewline
0.64 & 600.460532237175 & 15.3821980257199 \tabularnewline
0.65 & 604.105707928294 & 14.8175518274059 \tabularnewline
0.66 & 607.638707558942 & 14.2451934808549 \tabularnewline
0.67 & 611.065510270312 & 13.6956511739312 \tabularnewline
0.68 & 614.398246777505 & 13.2058361873315 \tabularnewline
0.69 & 617.655208537657 & 12.8067025178983 \tabularnewline
0.7 & 620.857688353621 & 12.5078942751609 \tabularnewline
0.71 & 624.024554579325 & 12.2874518815137 \tabularnewline
0.72 & 627.16621902311 & 12.0989847252630 \tabularnewline
0.73 & 630.279832046426 & 11.8778323411978 \tabularnewline
0.74 & 633.347182498544 & 11.5605554939344 \tabularnewline
0.75 & 636.336083753405 & 11.0977992007902 \tabularnewline
0.76 & 639.205185872349 & 10.4656963438123 \tabularnewline
0.77 & 641.911311565347 & 9.67196328578518 \tabularnewline
0.78 & 644.417694538149 & 8.75870659479056 \tabularnewline
0.79 & 646.701074362848 & 7.78763679022859 \tabularnewline
0.8 & 648.755696986651 & 6.83453404055697 \tabularnewline
0.81 & 650.593054465819 & 5.96369608392270 \tabularnewline
0.82 & 652.237602984119 & 5.21728874916729 \tabularnewline
0.83 & 653.720281734727 & 4.60595319289558 \tabularnewline
0.84 & 655.07265249773 & 4.114099882466 \tabularnewline
0.85 & 656.324124077205 & 3.71943560776665 \tabularnewline
0.86 & 657.502778860267 & 3.40807516711697 \tabularnewline
0.87 & 658.637567602002 & 3.18527361625063 \tabularnewline
0.88 & 659.757915072086 & 3.05426522153709 \tabularnewline
0.89 & 660.88807490985 & 2.99337578379733 \tabularnewline
0.9 & 662.038363226187 & 2.94551538615529 \tabularnewline
0.91 & 663.201309865598 & 2.84049954759038 \tabularnewline
0.92 & 664.363181333616 & 2.65533310047209 \tabularnewline
0.93 & 665.536139528157 & 2.46118931395486 \tabularnewline
0.94 & 666.802742962261 & 2.44346680640130 \tabularnewline
0.95 & 668.349238235744 & 2.80846294230886 \tabularnewline
0.96 & 670.46583361205 & 3.57431767404614 \tabularnewline
0.97 & 673.49363968337 & 4.59022360282979 \tabularnewline
0.98 & 677.547710562361 & 5.43580640457381 \tabularnewline
0.99 & 681.741302559267 & 4.21452988537798 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78308&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]102.805290153091[/C][C]8.57748997354756[/C][/ROW]
[ROW][C]0.02[/C][C]113.803453210216[/C][C]20.9922261082449[/C][/ROW]
[ROW][C]0.03[/C][C]130.817597251000[/C][C]29.15663437997[/C][/ROW]
[ROW][C]0.04[/C][C]149.380766611891[/C][C]28.8576251142862[/C][/ROW]
[ROW][C]0.05[/C][C]165.306725254957[/C][C]22.8966051737602[/C][/ROW]
[ROW][C]0.06[/C][C]176.983791650472[/C][C]16.3963765013599[/C][/ROW]
[ROW][C]0.07[/C][C]185.086754668046[/C][C]12.4735560442816[/C][/ROW]
[ROW][C]0.08[/C][C]191.162650194964[/C][C]11.6742705348682[/C][/ROW]
[ROW][C]0.09[/C][C]196.619495467775[/C][C]13.2755554494678[/C][/ROW]
[ROW][C]0.1[/C][C]202.416050493718[/C][C]16.4423236430787[/C][/ROW]
[ROW][C]0.11[/C][C]209.085043995093[/C][C]20.3621125272934[/C][/ROW]
[ROW][C]0.12[/C][C]216.792066575183[/C][C]24.1035734027059[/C][/ROW]
[ROW][C]0.13[/C][C]225.380454139830[/C][C]26.7817344713142[/C][/ROW]
[ROW][C]0.14[/C][C]234.458962595346[/C][C]27.8788854839548[/C][/ROW]
[ROW][C]0.15[/C][C]243.554323182077[/C][C]27.4544382367[/C][/ROW]
[ROW][C]0.16[/C][C]252.283210593815[/C][C]26.105482278153[/C][/ROW]
[ROW][C]0.17[/C][C]260.473215593448[/C][C]24.7126798860408[/C][/ROW]
[ROW][C]0.18[/C][C]268.189325179305[/C][C]24.0934372504053[/C][/ROW]
[ROW][C]0.19[/C][C]275.670078116049[/C][C]24.6783166310414[/C][/ROW]
[ROW][C]0.2[/C][C]283.213165815746[/C][C]26.3659518287067[/C][/ROW]
[ROW][C]0.21[/C][C]291.060436389120[/C][C]28.647803582922[/C][/ROW]
[ROW][C]0.22[/C][C]299.321576427575[/C][C]30.8719257892818[/C][/ROW]
[ROW][C]0.23[/C][C]307.955121801653[/C][C]32.4854720677454[/C][/ROW]
[ROW][C]0.24[/C][C]316.803986638767[/C][C]33.1936059806322[/C][/ROW]
[ROW][C]0.25[/C][C]325.666048971059[/C][C]33.0257161179571[/C][/ROW]
[ROW][C]0.26[/C][C]334.371854516965[/C][C]32.3069881563595[/C][/ROW]
[ROW][C]0.27[/C][C]342.842610889382[/C][C]31.5406957654587[/C][/ROW]
[ROW][C]0.28[/C][C]351.111155740654[/C][C]31.2376505072391[/C][/ROW]
[ROW][C]0.29[/C][C]359.302665478978[/C][C]31.7257912084492[/C][/ROW]
[ROW][C]0.3[/C][C]367.585414818703[/C][C]33.0298456999641[/C][/ROW]
[ROW][C]0.31[/C][C]376.110532174237[/C][C]34.8765156180764[/C][/ROW]
[ROW][C]0.32[/C][C]384.961270888428[/C][C]36.8166574173775[/C][/ROW]
[ROW][C]0.33[/C][C]394.127233397916[/C][C]38.3871535546376[/C][/ROW]
[ROW][C]0.34[/C][C]403.509607256377[/C][C]39.2468286704375[/C][/ROW]
[ROW][C]0.35[/C][C]412.953127166629[/C][C]39.2604827342051[/C][/ROW]
[ROW][C]0.36[/C][C]422.292432803438[/C][C]38.5220148435087[/C][/ROW]
[ROW][C]0.37[/C][C]431.397054873289[/C][C]37.3104480201246[/C][/ROW]
[ROW][C]0.38[/C][C]440.201147676281[/C][C]35.9942144928307[/C][/ROW]
[ROW][C]0.39[/C][C]448.710254375473[/C][C]34.9163721123519[/C][/ROW]
[ROW][C]0.4[/C][C]456.985462438398[/C][C]34.2837548112700[/C][/ROW]
[ROW][C]0.41[/C][C]465.112456322927[/C][C]34.1082711260781[/C][/ROW]
[ROW][C]0.42[/C][C]473.166944623762[/C][C]34.2295914020249[/C][/ROW]
[ROW][C]0.43[/C][C]481.187766697912[/C][C]34.3861439130095[/C][/ROW]
[ROW][C]0.44[/C][C]489.165191336155[/C][C]34.3199599221836[/C][/ROW]
[ROW][C]0.45[/C][C]497.046165278914[/C][C]33.8546334204372[/C][/ROW]
[ROW][C]0.46[/C][C]504.752657826618[/C][C]32.9371313801517[/C][/ROW]
[ROW][C]0.47[/C][C]512.205585445629[/C][C]31.6376261427275[/C][/ROW]
[ROW][C]0.48[/C][C]519.346037495003[/C][C]30.1143409629419[/C][/ROW]
[ROW][C]0.49[/C][C]526.147544448143[/C][C]28.5570277928471[/C][/ROW]
[ROW][C]0.5[/C][C]532.616912656648[/C][C]27.1246394243636[/C][/ROW]
[ROW][C]0.51[/C][C]538.785215324493[/C][C]25.9079498262355[/C][/ROW]
[ROW][C]0.52[/C][C]544.693489574065[/C][C]24.9069243069176[/C][/ROW]
[ROW][C]0.53[/C][C]550.378703920987[/C][C]24.0556708035995[/C][/ROW]
[ROW][C]0.54[/C][C]555.864554172848[/C][C]23.2563852644741[/C][/ROW]
[ROW][C]0.55[/C][C]561.15924031601[/C][C]22.4286110412099[/C][/ROW]
[ROW][C]0.56[/C][C]566.259592793589[/C][C]21.5323885164018[/C][/ROW]
[ROW][C]0.57[/C][C]571.158774631014[/C][C]20.5755773890958[/C][/ROW]
[ROW][C]0.58[/C][C]575.853954979579[/C][C]19.6062419360843[/C][/ROW]
[ROW][C]0.59[/C][C]580.350954240634[/C][C]18.6827724824614[/C][/ROW]
[ROW][C]0.6[/C][C]584.664497482555[/C][C]17.8532809469001[/C][/ROW]
[ROW][C]0.61[/C][C]588.81464886925[/C][C]17.1346119443728[/C][/ROW]
[ROW][C]0.62[/C][C]592.821469893363[/C][C]16.5095212260815[/C][/ROW]
[ROW][C]0.63[/C][C]596.70043271341[/C][C]15.9388217007863[/C][/ROW]
[ROW][C]0.64[/C][C]600.460532237175[/C][C]15.3821980257199[/C][/ROW]
[ROW][C]0.65[/C][C]604.105707928294[/C][C]14.8175518274059[/C][/ROW]
[ROW][C]0.66[/C][C]607.638707558942[/C][C]14.2451934808549[/C][/ROW]
[ROW][C]0.67[/C][C]611.065510270312[/C][C]13.6956511739312[/C][/ROW]
[ROW][C]0.68[/C][C]614.398246777505[/C][C]13.2058361873315[/C][/ROW]
[ROW][C]0.69[/C][C]617.655208537657[/C][C]12.8067025178983[/C][/ROW]
[ROW][C]0.7[/C][C]620.857688353621[/C][C]12.5078942751609[/C][/ROW]
[ROW][C]0.71[/C][C]624.024554579325[/C][C]12.2874518815137[/C][/ROW]
[ROW][C]0.72[/C][C]627.16621902311[/C][C]12.0989847252630[/C][/ROW]
[ROW][C]0.73[/C][C]630.279832046426[/C][C]11.8778323411978[/C][/ROW]
[ROW][C]0.74[/C][C]633.347182498544[/C][C]11.5605554939344[/C][/ROW]
[ROW][C]0.75[/C][C]636.336083753405[/C][C]11.0977992007902[/C][/ROW]
[ROW][C]0.76[/C][C]639.205185872349[/C][C]10.4656963438123[/C][/ROW]
[ROW][C]0.77[/C][C]641.911311565347[/C][C]9.67196328578518[/C][/ROW]
[ROW][C]0.78[/C][C]644.417694538149[/C][C]8.75870659479056[/C][/ROW]
[ROW][C]0.79[/C][C]646.701074362848[/C][C]7.78763679022859[/C][/ROW]
[ROW][C]0.8[/C][C]648.755696986651[/C][C]6.83453404055697[/C][/ROW]
[ROW][C]0.81[/C][C]650.593054465819[/C][C]5.96369608392270[/C][/ROW]
[ROW][C]0.82[/C][C]652.237602984119[/C][C]5.21728874916729[/C][/ROW]
[ROW][C]0.83[/C][C]653.720281734727[/C][C]4.60595319289558[/C][/ROW]
[ROW][C]0.84[/C][C]655.07265249773[/C][C]4.114099882466[/C][/ROW]
[ROW][C]0.85[/C][C]656.324124077205[/C][C]3.71943560776665[/C][/ROW]
[ROW][C]0.86[/C][C]657.502778860267[/C][C]3.40807516711697[/C][/ROW]
[ROW][C]0.87[/C][C]658.637567602002[/C][C]3.18527361625063[/C][/ROW]
[ROW][C]0.88[/C][C]659.757915072086[/C][C]3.05426522153709[/C][/ROW]
[ROW][C]0.89[/C][C]660.88807490985[/C][C]2.99337578379733[/C][/ROW]
[ROW][C]0.9[/C][C]662.038363226187[/C][C]2.94551538615529[/C][/ROW]
[ROW][C]0.91[/C][C]663.201309865598[/C][C]2.84049954759038[/C][/ROW]
[ROW][C]0.92[/C][C]664.363181333616[/C][C]2.65533310047209[/C][/ROW]
[ROW][C]0.93[/C][C]665.536139528157[/C][C]2.46118931395486[/C][/ROW]
[ROW][C]0.94[/C][C]666.802742962261[/C][C]2.44346680640130[/C][/ROW]
[ROW][C]0.95[/C][C]668.349238235744[/C][C]2.80846294230886[/C][/ROW]
[ROW][C]0.96[/C][C]670.46583361205[/C][C]3.57431767404614[/C][/ROW]
[ROW][C]0.97[/C][C]673.49363968337[/C][C]4.59022360282979[/C][/ROW]
[ROW][C]0.98[/C][C]677.547710562361[/C][C]5.43580640457381[/C][/ROW]
[ROW][C]0.99[/C][C]681.741302559267[/C][C]4.21452988537798[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78308&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78308&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
0.01102.8052901530918.57748997354756
0.02113.80345321021620.9922261082449
0.03130.81759725100029.15663437997
0.04149.38076661189128.8576251142862
0.05165.30672525495722.8966051737602
0.06176.98379165047216.3963765013599
0.07185.08675466804612.4735560442816
0.08191.16265019496411.6742705348682
0.09196.61949546777513.2755554494678
0.1202.41605049371816.4423236430787
0.11209.08504399509320.3621125272934
0.12216.79206657518324.1035734027059
0.13225.38045413983026.7817344713142
0.14234.45896259534627.8788854839548
0.15243.55432318207727.4544382367
0.16252.28321059381526.105482278153
0.17260.47321559344824.7126798860408
0.18268.18932517930524.0934372504053
0.19275.67007811604924.6783166310414
0.2283.21316581574626.3659518287067
0.21291.06043638912028.647803582922
0.22299.32157642757530.8719257892818
0.23307.95512180165332.4854720677454
0.24316.80398663876733.1936059806322
0.25325.66604897105933.0257161179571
0.26334.37185451696532.3069881563595
0.27342.84261088938231.5406957654587
0.28351.11115574065431.2376505072391
0.29359.30266547897831.7257912084492
0.3367.58541481870333.0298456999641
0.31376.11053217423734.8765156180764
0.32384.96127088842836.8166574173775
0.33394.12723339791638.3871535546376
0.34403.50960725637739.2468286704375
0.35412.95312716662939.2604827342051
0.36422.29243280343838.5220148435087
0.37431.39705487328937.3104480201246
0.38440.20114767628135.9942144928307
0.39448.71025437547334.9163721123519
0.4456.98546243839834.2837548112700
0.41465.11245632292734.1082711260781
0.42473.16694462376234.2295914020249
0.43481.18776669791234.3861439130095
0.44489.16519133615534.3199599221836
0.45497.04616527891433.8546334204372
0.46504.75265782661832.9371313801517
0.47512.20558544562931.6376261427275
0.48519.34603749500330.1143409629419
0.49526.14754444814328.5570277928471
0.5532.61691265664827.1246394243636
0.51538.78521532449325.9079498262355
0.52544.69348957406524.9069243069176
0.53550.37870392098724.0556708035995
0.54555.86455417284823.2563852644741
0.55561.1592403160122.4286110412099
0.56566.25959279358921.5323885164018
0.57571.15877463101420.5755773890958
0.58575.85395497957919.6062419360843
0.59580.35095424063418.6827724824614
0.6584.66449748255517.8532809469001
0.61588.8146488692517.1346119443728
0.62592.82146989336316.5095212260815
0.63596.7004327134115.9388217007863
0.64600.46053223717515.3821980257199
0.65604.10570792829414.8175518274059
0.66607.63870755894214.2451934808549
0.67611.06551027031213.6956511739312
0.68614.39824677750513.2058361873315
0.69617.65520853765712.8067025178983
0.7620.85768835362112.5078942751609
0.71624.02455457932512.2874518815137
0.72627.1662190231112.0989847252630
0.73630.27983204642611.8778323411978
0.74633.34718249854411.5605554939344
0.75636.33608375340511.0977992007902
0.76639.20518587234910.4656963438123
0.77641.9113115653479.67196328578518
0.78644.4176945381498.75870659479056
0.79646.7010743628487.78763679022859
0.8648.7556969866516.83453404055697
0.81650.5930544658195.96369608392270
0.82652.2376029841195.21728874916729
0.83653.7202817347274.60595319289558
0.84655.072652497734.114099882466
0.85656.3241240772053.71943560776665
0.86657.5027788602673.40807516711697
0.87658.6375676020023.18527361625063
0.88659.7579150720863.05426522153709
0.89660.888074909852.99337578379733
0.9662.0383632261872.94551538615529
0.91663.2013098655982.84049954759038
0.92664.3631813336162.65533310047209
0.93665.5361395281572.46118931395486
0.94666.8027429622612.44346680640130
0.95668.3492382357442.80846294230886
0.96670.465833612053.57431767404614
0.97673.493639683374.59022360282979
0.98677.5477105623615.43580640457381
0.99681.7413025592674.21452988537798


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')