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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 computationThu, 24 May 2012 15:05:17 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/24/t1337886342ueqex8fxqv85i8p.htm/, Retrieved Sun, 05 May 2024 21:40:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167391, Retrieved Sun, 05 May 2024 21:40:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100

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] [Aantal werklozen ...] [2012-05-24 19:05:17] [50083fea611f0183deb36cab794727ad] [Current]
- R P     [Harrell-Davis Quantiles] [Aantal werklozen ...] [2012-05-24 19:09:30] [65d089efb1547052afcdc66fb34b47a2]
- RMPD    [Univariate Data Series] [aantal nieuwe ins...] [2012-05-24 19:54:43] [65d089efb1547052afcdc66fb34b47a2]
- RMPD    [Mean Plot] [nieuwe personenwa...] [2012-05-24 19:57:44] [65d089efb1547052afcdc66fb34b47a2]
- RMP     [Mean Plot] [Aantal werklozen ...] [2012-05-24 20:01:24] [65d089efb1547052afcdc66fb34b47a2]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'AstonUniversity' @ aston.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 & 1 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167391&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167391&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167391&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 time1 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01473.1115150368259.33118791903436
0.02479.4378492432699.7080901925336
0.03485.7408925990949.21095007555941
0.04491.0940751038388.3114012013924
0.05495.451110915687.55597239434149
0.06499.03019363156.98248162273958
0.07502.0405559691826.48345921376875
0.08504.6263015945536.02807635806102
0.09506.8842775391965.64001644415888
0.1508.8873557133245.34287610250166
0.11510.6954739253045.13775350311015
0.12512.3581628108995.01179673818308
0.13513.9149092692494.94879744655437
0.14515.3961261297274.93631595554234
0.15516.8246281539464.96634642106771
0.16518.2167924475815.02530541758278
0.17519.583109997085.09594227715987
0.18520.9284977616965.15527203090829
0.19522.2529474747115.1847230948341
0.2523.5528159890615.17483648727535
0.21524.8226122076035.12472668493365
0.22526.0568284372785.04229218575648
0.23527.2513476205344.94028177181714
0.24528.4041780725374.83011834757562
0.25529.5155580143094.72094428868729
0.26530.5876754649574.62036652877545
0.27531.6242920987854.53215669654301
0.28532.6304647518984.46362476999283
0.29533.6124044157094.41979845283378
0.3534.5773836919634.4087185924392
0.31535.533551269264.43633439293926
0.32536.4895432527164.50711480100733
0.33537.4538686260464.61858867793258
0.34538.4341468512134.76547563968382
0.35539.4363499360994.93462390404494
0.36540.4642247092375.11194425166226
0.37541.5190383416235.28541055382689
0.38542.5997135239035.44001992165808
0.39543.7033229684135.56935557216913
0.4544.8258240716985.67059497407274
0.41545.9628582100255.74637060690884
0.42547.110430022245.80010118224805
0.43548.265321494995.84003372181534
0.44549.4251716556615.87137949811217
0.45550.5882436017755.8978025192237
0.46551.7529817729925.91783879655029
0.47552.9175130547015.92684915972753
0.48554.0792540019735.91822423652595
0.49555.234753137135.88636963865567
0.5556.3798321240635.82632006546408
0.51557.5100096273855.73707457615674
0.52558.6211161464385.62137037233692
0.53559.7099547037935.48710983983279
0.54560.7748437519195.34563331580345
0.55561.8159006908425.20619197224249
0.56562.8349839383215.08190562028299
0.57563.8352963600354.97944335425319
0.58564.8207429327684.90078874113188
0.59565.795206477284.84410522413979
0.6566.7619348403684.80124770905307
0.61567.7232079980364.76451030527775
0.62568.6803764417134.7259124103908
0.63569.6342522954354.6838599047949
0.64570.5857243537254.63928724848955
0.65571.536393390174.59857763052409
0.66572.4890111698954.57109509340102
0.67573.4475622187184.56494691925379
0.68574.4169343680694.58627218693881
0.69575.4022468106224.63300821154599
0.7576.408002251914.69848607722492
0.71577.4372731759294.77278234098
0.72578.4911142268254.84203766719845
0.73579.5683297485634.8955556005919
0.74580.665647328524.92348954886863
0.75581.778281321654.91961405889686
0.76582.9008252741744.88290662078603
0.77584.0283822162374.816340519668
0.78585.1578154606934.73019680678514
0.79586.288981692174.63734649296332
0.8587.4258173342224.55768180493166
0.81588.5772230290964.51006202595739
0.82589.7578371839184.51561600258061
0.83590.9889430266044.59343216566304
0.84592.2997556342834.76391390889765
0.85593.728975912825.0520065826128
0.86595.3256516498395.48738593183798
0.87597.1472272107396.09416053734931
0.88599.2518821376686.86535816744637
0.89601.6830576051637.73121639726642
0.9604.4476393505128.53955963567202
0.91607.4954996151429.07250624080864
0.92610.7139163487629.11491794728976
0.93613.9493167684888.56133490903647
0.94617.0546399192447.51149218356302
0.95619.9363561711286.25976167614626
0.96622.5608241837715.1081909917481
0.97624.9024770727274.07429622215646
0.98626.8727024208692.91699455590497
0.99628.2987698258071.67349801295377

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 473.111515036825 & 9.33118791903436 \tabularnewline
0.02 & 479.437849243269 & 9.7080901925336 \tabularnewline
0.03 & 485.740892599094 & 9.21095007555941 \tabularnewline
0.04 & 491.094075103838 & 8.3114012013924 \tabularnewline
0.05 & 495.45111091568 & 7.55597239434149 \tabularnewline
0.06 & 499.0301936315 & 6.98248162273958 \tabularnewline
0.07 & 502.040555969182 & 6.48345921376875 \tabularnewline
0.08 & 504.626301594553 & 6.02807635806102 \tabularnewline
0.09 & 506.884277539196 & 5.64001644415888 \tabularnewline
0.1 & 508.887355713324 & 5.34287610250166 \tabularnewline
0.11 & 510.695473925304 & 5.13775350311015 \tabularnewline
0.12 & 512.358162810899 & 5.01179673818308 \tabularnewline
0.13 & 513.914909269249 & 4.94879744655437 \tabularnewline
0.14 & 515.396126129727 & 4.93631595554234 \tabularnewline
0.15 & 516.824628153946 & 4.96634642106771 \tabularnewline
0.16 & 518.216792447581 & 5.02530541758278 \tabularnewline
0.17 & 519.58310999708 & 5.09594227715987 \tabularnewline
0.18 & 520.928497761696 & 5.15527203090829 \tabularnewline
0.19 & 522.252947474711 & 5.1847230948341 \tabularnewline
0.2 & 523.552815989061 & 5.17483648727535 \tabularnewline
0.21 & 524.822612207603 & 5.12472668493365 \tabularnewline
0.22 & 526.056828437278 & 5.04229218575648 \tabularnewline
0.23 & 527.251347620534 & 4.94028177181714 \tabularnewline
0.24 & 528.404178072537 & 4.83011834757562 \tabularnewline
0.25 & 529.515558014309 & 4.72094428868729 \tabularnewline
0.26 & 530.587675464957 & 4.62036652877545 \tabularnewline
0.27 & 531.624292098785 & 4.53215669654301 \tabularnewline
0.28 & 532.630464751898 & 4.46362476999283 \tabularnewline
0.29 & 533.612404415709 & 4.41979845283378 \tabularnewline
0.3 & 534.577383691963 & 4.4087185924392 \tabularnewline
0.31 & 535.53355126926 & 4.43633439293926 \tabularnewline
0.32 & 536.489543252716 & 4.50711480100733 \tabularnewline
0.33 & 537.453868626046 & 4.61858867793258 \tabularnewline
0.34 & 538.434146851213 & 4.76547563968382 \tabularnewline
0.35 & 539.436349936099 & 4.93462390404494 \tabularnewline
0.36 & 540.464224709237 & 5.11194425166226 \tabularnewline
0.37 & 541.519038341623 & 5.28541055382689 \tabularnewline
0.38 & 542.599713523903 & 5.44001992165808 \tabularnewline
0.39 & 543.703322968413 & 5.56935557216913 \tabularnewline
0.4 & 544.825824071698 & 5.67059497407274 \tabularnewline
0.41 & 545.962858210025 & 5.74637060690884 \tabularnewline
0.42 & 547.11043002224 & 5.80010118224805 \tabularnewline
0.43 & 548.26532149499 & 5.84003372181534 \tabularnewline
0.44 & 549.425171655661 & 5.87137949811217 \tabularnewline
0.45 & 550.588243601775 & 5.8978025192237 \tabularnewline
0.46 & 551.752981772992 & 5.91783879655029 \tabularnewline
0.47 & 552.917513054701 & 5.92684915972753 \tabularnewline
0.48 & 554.079254001973 & 5.91822423652595 \tabularnewline
0.49 & 555.23475313713 & 5.88636963865567 \tabularnewline
0.5 & 556.379832124063 & 5.82632006546408 \tabularnewline
0.51 & 557.510009627385 & 5.73707457615674 \tabularnewline
0.52 & 558.621116146438 & 5.62137037233692 \tabularnewline
0.53 & 559.709954703793 & 5.48710983983279 \tabularnewline
0.54 & 560.774843751919 & 5.34563331580345 \tabularnewline
0.55 & 561.815900690842 & 5.20619197224249 \tabularnewline
0.56 & 562.834983938321 & 5.08190562028299 \tabularnewline
0.57 & 563.835296360035 & 4.97944335425319 \tabularnewline
0.58 & 564.820742932768 & 4.90078874113188 \tabularnewline
0.59 & 565.79520647728 & 4.84410522413979 \tabularnewline
0.6 & 566.761934840368 & 4.80124770905307 \tabularnewline
0.61 & 567.723207998036 & 4.76451030527775 \tabularnewline
0.62 & 568.680376441713 & 4.7259124103908 \tabularnewline
0.63 & 569.634252295435 & 4.6838599047949 \tabularnewline
0.64 & 570.585724353725 & 4.63928724848955 \tabularnewline
0.65 & 571.53639339017 & 4.59857763052409 \tabularnewline
0.66 & 572.489011169895 & 4.57109509340102 \tabularnewline
0.67 & 573.447562218718 & 4.56494691925379 \tabularnewline
0.68 & 574.416934368069 & 4.58627218693881 \tabularnewline
0.69 & 575.402246810622 & 4.63300821154599 \tabularnewline
0.7 & 576.40800225191 & 4.69848607722492 \tabularnewline
0.71 & 577.437273175929 & 4.77278234098 \tabularnewline
0.72 & 578.491114226825 & 4.84203766719845 \tabularnewline
0.73 & 579.568329748563 & 4.8955556005919 \tabularnewline
0.74 & 580.66564732852 & 4.92348954886863 \tabularnewline
0.75 & 581.77828132165 & 4.91961405889686 \tabularnewline
0.76 & 582.900825274174 & 4.88290662078603 \tabularnewline
0.77 & 584.028382216237 & 4.816340519668 \tabularnewline
0.78 & 585.157815460693 & 4.73019680678514 \tabularnewline
0.79 & 586.28898169217 & 4.63734649296332 \tabularnewline
0.8 & 587.425817334222 & 4.55768180493166 \tabularnewline
0.81 & 588.577223029096 & 4.51006202595739 \tabularnewline
0.82 & 589.757837183918 & 4.51561600258061 \tabularnewline
0.83 & 590.988943026604 & 4.59343216566304 \tabularnewline
0.84 & 592.299755634283 & 4.76391390889765 \tabularnewline
0.85 & 593.72897591282 & 5.0520065826128 \tabularnewline
0.86 & 595.325651649839 & 5.48738593183798 \tabularnewline
0.87 & 597.147227210739 & 6.09416053734931 \tabularnewline
0.88 & 599.251882137668 & 6.86535816744637 \tabularnewline
0.89 & 601.683057605163 & 7.73121639726642 \tabularnewline
0.9 & 604.447639350512 & 8.53955963567202 \tabularnewline
0.91 & 607.495499615142 & 9.07250624080864 \tabularnewline
0.92 & 610.713916348762 & 9.11491794728976 \tabularnewline
0.93 & 613.949316768488 & 8.56133490903647 \tabularnewline
0.94 & 617.054639919244 & 7.51149218356302 \tabularnewline
0.95 & 619.936356171128 & 6.25976167614626 \tabularnewline
0.96 & 622.560824183771 & 5.1081909917481 \tabularnewline
0.97 & 624.902477072727 & 4.07429622215646 \tabularnewline
0.98 & 626.872702420869 & 2.91699455590497 \tabularnewline
0.99 & 628.298769825807 & 1.67349801295377 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167391&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]473.111515036825[/C][C]9.33118791903436[/C][/ROW]
[ROW][C]0.02[/C][C]479.437849243269[/C][C]9.7080901925336[/C][/ROW]
[ROW][C]0.03[/C][C]485.740892599094[/C][C]9.21095007555941[/C][/ROW]
[ROW][C]0.04[/C][C]491.094075103838[/C][C]8.3114012013924[/C][/ROW]
[ROW][C]0.05[/C][C]495.45111091568[/C][C]7.55597239434149[/C][/ROW]
[ROW][C]0.06[/C][C]499.0301936315[/C][C]6.98248162273958[/C][/ROW]
[ROW][C]0.07[/C][C]502.040555969182[/C][C]6.48345921376875[/C][/ROW]
[ROW][C]0.08[/C][C]504.626301594553[/C][C]6.02807635806102[/C][/ROW]
[ROW][C]0.09[/C][C]506.884277539196[/C][C]5.64001644415888[/C][/ROW]
[ROW][C]0.1[/C][C]508.887355713324[/C][C]5.34287610250166[/C][/ROW]
[ROW][C]0.11[/C][C]510.695473925304[/C][C]5.13775350311015[/C][/ROW]
[ROW][C]0.12[/C][C]512.358162810899[/C][C]5.01179673818308[/C][/ROW]
[ROW][C]0.13[/C][C]513.914909269249[/C][C]4.94879744655437[/C][/ROW]
[ROW][C]0.14[/C][C]515.396126129727[/C][C]4.93631595554234[/C][/ROW]
[ROW][C]0.15[/C][C]516.824628153946[/C][C]4.96634642106771[/C][/ROW]
[ROW][C]0.16[/C][C]518.216792447581[/C][C]5.02530541758278[/C][/ROW]
[ROW][C]0.17[/C][C]519.58310999708[/C][C]5.09594227715987[/C][/ROW]
[ROW][C]0.18[/C][C]520.928497761696[/C][C]5.15527203090829[/C][/ROW]
[ROW][C]0.19[/C][C]522.252947474711[/C][C]5.1847230948341[/C][/ROW]
[ROW][C]0.2[/C][C]523.552815989061[/C][C]5.17483648727535[/C][/ROW]
[ROW][C]0.21[/C][C]524.822612207603[/C][C]5.12472668493365[/C][/ROW]
[ROW][C]0.22[/C][C]526.056828437278[/C][C]5.04229218575648[/C][/ROW]
[ROW][C]0.23[/C][C]527.251347620534[/C][C]4.94028177181714[/C][/ROW]
[ROW][C]0.24[/C][C]528.404178072537[/C][C]4.83011834757562[/C][/ROW]
[ROW][C]0.25[/C][C]529.515558014309[/C][C]4.72094428868729[/C][/ROW]
[ROW][C]0.26[/C][C]530.587675464957[/C][C]4.62036652877545[/C][/ROW]
[ROW][C]0.27[/C][C]531.624292098785[/C][C]4.53215669654301[/C][/ROW]
[ROW][C]0.28[/C][C]532.630464751898[/C][C]4.46362476999283[/C][/ROW]
[ROW][C]0.29[/C][C]533.612404415709[/C][C]4.41979845283378[/C][/ROW]
[ROW][C]0.3[/C][C]534.577383691963[/C][C]4.4087185924392[/C][/ROW]
[ROW][C]0.31[/C][C]535.53355126926[/C][C]4.43633439293926[/C][/ROW]
[ROW][C]0.32[/C][C]536.489543252716[/C][C]4.50711480100733[/C][/ROW]
[ROW][C]0.33[/C][C]537.453868626046[/C][C]4.61858867793258[/C][/ROW]
[ROW][C]0.34[/C][C]538.434146851213[/C][C]4.76547563968382[/C][/ROW]
[ROW][C]0.35[/C][C]539.436349936099[/C][C]4.93462390404494[/C][/ROW]
[ROW][C]0.36[/C][C]540.464224709237[/C][C]5.11194425166226[/C][/ROW]
[ROW][C]0.37[/C][C]541.519038341623[/C][C]5.28541055382689[/C][/ROW]
[ROW][C]0.38[/C][C]542.599713523903[/C][C]5.44001992165808[/C][/ROW]
[ROW][C]0.39[/C][C]543.703322968413[/C][C]5.56935557216913[/C][/ROW]
[ROW][C]0.4[/C][C]544.825824071698[/C][C]5.67059497407274[/C][/ROW]
[ROW][C]0.41[/C][C]545.962858210025[/C][C]5.74637060690884[/C][/ROW]
[ROW][C]0.42[/C][C]547.11043002224[/C][C]5.80010118224805[/C][/ROW]
[ROW][C]0.43[/C][C]548.26532149499[/C][C]5.84003372181534[/C][/ROW]
[ROW][C]0.44[/C][C]549.425171655661[/C][C]5.87137949811217[/C][/ROW]
[ROW][C]0.45[/C][C]550.588243601775[/C][C]5.8978025192237[/C][/ROW]
[ROW][C]0.46[/C][C]551.752981772992[/C][C]5.91783879655029[/C][/ROW]
[ROW][C]0.47[/C][C]552.917513054701[/C][C]5.92684915972753[/C][/ROW]
[ROW][C]0.48[/C][C]554.079254001973[/C][C]5.91822423652595[/C][/ROW]
[ROW][C]0.49[/C][C]555.23475313713[/C][C]5.88636963865567[/C][/ROW]
[ROW][C]0.5[/C][C]556.379832124063[/C][C]5.82632006546408[/C][/ROW]
[ROW][C]0.51[/C][C]557.510009627385[/C][C]5.73707457615674[/C][/ROW]
[ROW][C]0.52[/C][C]558.621116146438[/C][C]5.62137037233692[/C][/ROW]
[ROW][C]0.53[/C][C]559.709954703793[/C][C]5.48710983983279[/C][/ROW]
[ROW][C]0.54[/C][C]560.774843751919[/C][C]5.34563331580345[/C][/ROW]
[ROW][C]0.55[/C][C]561.815900690842[/C][C]5.20619197224249[/C][/ROW]
[ROW][C]0.56[/C][C]562.834983938321[/C][C]5.08190562028299[/C][/ROW]
[ROW][C]0.57[/C][C]563.835296360035[/C][C]4.97944335425319[/C][/ROW]
[ROW][C]0.58[/C][C]564.820742932768[/C][C]4.90078874113188[/C][/ROW]
[ROW][C]0.59[/C][C]565.79520647728[/C][C]4.84410522413979[/C][/ROW]
[ROW][C]0.6[/C][C]566.761934840368[/C][C]4.80124770905307[/C][/ROW]
[ROW][C]0.61[/C][C]567.723207998036[/C][C]4.76451030527775[/C][/ROW]
[ROW][C]0.62[/C][C]568.680376441713[/C][C]4.7259124103908[/C][/ROW]
[ROW][C]0.63[/C][C]569.634252295435[/C][C]4.6838599047949[/C][/ROW]
[ROW][C]0.64[/C][C]570.585724353725[/C][C]4.63928724848955[/C][/ROW]
[ROW][C]0.65[/C][C]571.53639339017[/C][C]4.59857763052409[/C][/ROW]
[ROW][C]0.66[/C][C]572.489011169895[/C][C]4.57109509340102[/C][/ROW]
[ROW][C]0.67[/C][C]573.447562218718[/C][C]4.56494691925379[/C][/ROW]
[ROW][C]0.68[/C][C]574.416934368069[/C][C]4.58627218693881[/C][/ROW]
[ROW][C]0.69[/C][C]575.402246810622[/C][C]4.63300821154599[/C][/ROW]
[ROW][C]0.7[/C][C]576.40800225191[/C][C]4.69848607722492[/C][/ROW]
[ROW][C]0.71[/C][C]577.437273175929[/C][C]4.77278234098[/C][/ROW]
[ROW][C]0.72[/C][C]578.491114226825[/C][C]4.84203766719845[/C][/ROW]
[ROW][C]0.73[/C][C]579.568329748563[/C][C]4.8955556005919[/C][/ROW]
[ROW][C]0.74[/C][C]580.66564732852[/C][C]4.92348954886863[/C][/ROW]
[ROW][C]0.75[/C][C]581.77828132165[/C][C]4.91961405889686[/C][/ROW]
[ROW][C]0.76[/C][C]582.900825274174[/C][C]4.88290662078603[/C][/ROW]
[ROW][C]0.77[/C][C]584.028382216237[/C][C]4.816340519668[/C][/ROW]
[ROW][C]0.78[/C][C]585.157815460693[/C][C]4.73019680678514[/C][/ROW]
[ROW][C]0.79[/C][C]586.28898169217[/C][C]4.63734649296332[/C][/ROW]
[ROW][C]0.8[/C][C]587.425817334222[/C][C]4.55768180493166[/C][/ROW]
[ROW][C]0.81[/C][C]588.577223029096[/C][C]4.51006202595739[/C][/ROW]
[ROW][C]0.82[/C][C]589.757837183918[/C][C]4.51561600258061[/C][/ROW]
[ROW][C]0.83[/C][C]590.988943026604[/C][C]4.59343216566304[/C][/ROW]
[ROW][C]0.84[/C][C]592.299755634283[/C][C]4.76391390889765[/C][/ROW]
[ROW][C]0.85[/C][C]593.72897591282[/C][C]5.0520065826128[/C][/ROW]
[ROW][C]0.86[/C][C]595.325651649839[/C][C]5.48738593183798[/C][/ROW]
[ROW][C]0.87[/C][C]597.147227210739[/C][C]6.09416053734931[/C][/ROW]
[ROW][C]0.88[/C][C]599.251882137668[/C][C]6.86535816744637[/C][/ROW]
[ROW][C]0.89[/C][C]601.683057605163[/C][C]7.73121639726642[/C][/ROW]
[ROW][C]0.9[/C][C]604.447639350512[/C][C]8.53955963567202[/C][/ROW]
[ROW][C]0.91[/C][C]607.495499615142[/C][C]9.07250624080864[/C][/ROW]
[ROW][C]0.92[/C][C]610.713916348762[/C][C]9.11491794728976[/C][/ROW]
[ROW][C]0.93[/C][C]613.949316768488[/C][C]8.56133490903647[/C][/ROW]
[ROW][C]0.94[/C][C]617.054639919244[/C][C]7.51149218356302[/C][/ROW]
[ROW][C]0.95[/C][C]619.936356171128[/C][C]6.25976167614626[/C][/ROW]
[ROW][C]0.96[/C][C]622.560824183771[/C][C]5.1081909917481[/C][/ROW]
[ROW][C]0.97[/C][C]624.902477072727[/C][C]4.07429622215646[/C][/ROW]
[ROW][C]0.98[/C][C]626.872702420869[/C][C]2.91699455590497[/C][/ROW]
[ROW][C]0.99[/C][C]628.298769825807[/C][C]1.67349801295377[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167391&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167391&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
0.01473.1115150368259.33118791903436
0.02479.4378492432699.7080901925336
0.03485.7408925990949.21095007555941
0.04491.0940751038388.3114012013924
0.05495.451110915687.55597239434149
0.06499.03019363156.98248162273958
0.07502.0405559691826.48345921376875
0.08504.6263015945536.02807635806102
0.09506.8842775391965.64001644415888
0.1508.8873557133245.34287610250166
0.11510.6954739253045.13775350311015
0.12512.3581628108995.01179673818308
0.13513.9149092692494.94879744655437
0.14515.3961261297274.93631595554234
0.15516.8246281539464.96634642106771
0.16518.2167924475815.02530541758278
0.17519.583109997085.09594227715987
0.18520.9284977616965.15527203090829
0.19522.2529474747115.1847230948341
0.2523.5528159890615.17483648727535
0.21524.8226122076035.12472668493365
0.22526.0568284372785.04229218575648
0.23527.2513476205344.94028177181714
0.24528.4041780725374.83011834757562
0.25529.5155580143094.72094428868729
0.26530.5876754649574.62036652877545
0.27531.6242920987854.53215669654301
0.28532.6304647518984.46362476999283
0.29533.6124044157094.41979845283378
0.3534.5773836919634.4087185924392
0.31535.533551269264.43633439293926
0.32536.4895432527164.50711480100733
0.33537.4538686260464.61858867793258
0.34538.4341468512134.76547563968382
0.35539.4363499360994.93462390404494
0.36540.4642247092375.11194425166226
0.37541.5190383416235.28541055382689
0.38542.5997135239035.44001992165808
0.39543.7033229684135.56935557216913
0.4544.8258240716985.67059497407274
0.41545.9628582100255.74637060690884
0.42547.110430022245.80010118224805
0.43548.265321494995.84003372181534
0.44549.4251716556615.87137949811217
0.45550.5882436017755.8978025192237
0.46551.7529817729925.91783879655029
0.47552.9175130547015.92684915972753
0.48554.0792540019735.91822423652595
0.49555.234753137135.88636963865567
0.5556.3798321240635.82632006546408
0.51557.5100096273855.73707457615674
0.52558.6211161464385.62137037233692
0.53559.7099547037935.48710983983279
0.54560.7748437519195.34563331580345
0.55561.8159006908425.20619197224249
0.56562.8349839383215.08190562028299
0.57563.8352963600354.97944335425319
0.58564.8207429327684.90078874113188
0.59565.795206477284.84410522413979
0.6566.7619348403684.80124770905307
0.61567.7232079980364.76451030527775
0.62568.6803764417134.7259124103908
0.63569.6342522954354.6838599047949
0.64570.5857243537254.63928724848955
0.65571.536393390174.59857763052409
0.66572.4890111698954.57109509340102
0.67573.4475622187184.56494691925379
0.68574.4169343680694.58627218693881
0.69575.4022468106224.63300821154599
0.7576.408002251914.69848607722492
0.71577.4372731759294.77278234098
0.72578.4911142268254.84203766719845
0.73579.5683297485634.8955556005919
0.74580.665647328524.92348954886863
0.75581.778281321654.91961405889686
0.76582.9008252741744.88290662078603
0.77584.0283822162374.816340519668
0.78585.1578154606934.73019680678514
0.79586.288981692174.63734649296332
0.8587.4258173342224.55768180493166
0.81588.5772230290964.51006202595739
0.82589.7578371839184.51561600258061
0.83590.9889430266044.59343216566304
0.84592.2997556342834.76391390889765
0.85593.728975912825.0520065826128
0.86595.3256516498395.48738593183798
0.87597.1472272107396.09416053734931
0.88599.2518821376686.86535816744637
0.89601.6830576051637.73121639726642
0.9604.4476393505128.53955963567202
0.91607.4954996151429.07250624080864
0.92610.7139163487629.11491794728976
0.93613.9493167684888.56133490903647
0.94617.0546399192447.51149218356302
0.95619.9363561711286.25976167614626
0.96622.5608241837715.1081909917481
0.97624.9024770727274.07429622215646
0.98626.8727024208692.91699455590497
0.99628.2987698258071.67349801295377


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')