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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 computationSun, 05 Oct 2014 12:30:08 +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/2014/Oct/05/t1412508812ittx1d9agb24fg0.htm/, Retrieved Sat, 11 May 2024 04:50:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238718, Retrieved Sat, 11 May 2024 04:50:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid België] [2014-09-24 13:54:39] [74be16979710d4c4e7c6647856088456]
- R PD  [Univariate Data Series] [Werkloosheid België] [2014-09-30 14:57:47] [b1f04123d82573d686ac8c7adc52feaa]
- RMP       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2014-10-05 11:30:08] [c260288012d574817ee98c3ddd4d9474] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
528
533
536
537
524
536
587
597
581
564
558
575
580
575
563
552
537
545
601
604
586
564
549
551
556
548
540
531
521
519
572
581
563
548
539
541
562
559
546
536
528
530
582
599
584
571
563
565
578
572
565
561
551
553
611
622
613
599
591
596

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238718&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238718&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238718&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01473.1115150367789.33118791903436
0.02479.4378492422539.7080901925336
0.03485.7408925874789.21095007555941
0.04491.094075011558.31140120139239
0.05495.4511103489767.55597239434149
0.06499.0301907839216.98248162273958
0.07502.0405438328776.48345921376875
0.08504.6262566264186.02787650525018
0.09506.8841300493275.6397301781118
0.1508.8869215614735.34158350800348
0.11510.6943144169695.13440943252241
0.12512.3553281331825.00416534706932
0.13513.9085188528844.93225082381371
0.14515.3827581877154.90288735102543
0.15516.7985392314854.90536962379333
0.16518.1690650783894.92114821561128
0.17519.5009151029214.92926789864528
0.18520.7947245428814.90488637150657
0.19522.0464570829574.83269415532208
0.2523.2494877087084.70840716950979
0.21524.3971737308624.53984050637124
0.22525.4852352884.34827210970089
0.23526.5132712339854.15753911766073
0.24527.4850536495683.99036177789189
0.25528.4076835223353.86138368563011
0.26529.2900460948983.77232167621621
0.27530.1411522402233.71956190878388
0.28530.9688780952713.69045079496525
0.29531.7793907134473.67539316830198
0.3532.5772789032713.66807731152846
0.31533.3661892421183.66904194587185
0.32534.149651310513.68146713905173
0.33534.931772988193.71419373497438
0.34535.7175721931163.7746734803561
0.35536.512844936063.86879761491776
0.36537.3236086419053.99465487199834
0.37538.155270621114.14844791266213
0.38539.0117340396834.31703882485881
0.39539.894661390924.48469616884321
0.4540.8030738730444.63607142423381
0.41541.7333882429414.75736235666049
0.42542.6798992448444.8390081480334
0.43543.6356250374424.87491195706773
0.44544.5933622004494.86973788013734
0.45545.5467580354354.829737252308
0.46546.4912066249984.76810659704885
0.47547.4244100404514.70036100229856
0.48548.3465092493424.63960531885682
0.49549.2597679419144.60089652890274
0.5550.1678717515944.58605180184708
0.51551.0749710341094.5968825022355
0.52551.984636740894.62712214126829
0.53552.8989103591294.66402550316443
0.54553.8176104362844.69222292050799
0.55554.7380149238734.69797323726107
0.56555.6549790707364.66730370813672
0.57556.5614831316314.59170540713091
0.58557.4495427394874.4676281031824
0.59558.3113655336934.30007240222263
0.6559.1406056510164.09748879122931
0.61559.9335546933973.87692817197949
0.62560.690112624543.65847844620884
0.63561.4144019621263.46655391052651
0.64562.1149209502973.32573466009316
0.65562.8041747744433.25700228415323
0.66563.4977782780083.27683499495548
0.67564.2130885672783.3906259244241
0.68564.967497417233.59219283141236
0.69565.7765815677423.86275305322456
0.7566.6523578730084.17830929069461
0.71567.6019020827414.50705789324774
0.72568.6265530405714.81742853969023
0.73569.7218406015815.08314383321471
0.74570.878165200155.28292790533373
0.75572.0821509785485.40273645365444
0.76573.3185214905265.44083063085876
0.77574.572317305895.40286054268653
0.78575.8312712755225.30423452785697
0.79577.0881424308655.17009073255998
0.8578.3427477297165.0317875472267
0.81579.6033148710514.92706682955806
0.82580.8866487655774.89339259237268
0.83582.2165461931684.95887308495303
0.84583.6200254787255.13247991639819
0.85585.1213759342915.39302821589869
0.86586.7348339985085.6863419195963
0.87588.4577784180945.93412187796203
0.88590.2673883324276.05092839000367
0.89592.1241289590495.97097670525728
0.9593.9844489078445.68040028256049
0.91595.82204893845.24445323919854
0.92597.6519783908274.81271478944016
0.93599.5459876735184.59077044715129
0.94601.6253742687684.72908577054388
0.95604.0281176169425.15967163892774
0.96606.8773262281485.57430217388566
0.97610.2947597704665.71562009957234
0.98614.3821784267315.96233830988817
0.99618.806457826347.24074996095164

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 473.111515036778 & 9.33118791903436 \tabularnewline
0.02 & 479.437849242253 & 9.7080901925336 \tabularnewline
0.03 & 485.740892587478 & 9.21095007555941 \tabularnewline
0.04 & 491.09407501155 & 8.31140120139239 \tabularnewline
0.05 & 495.451110348976 & 7.55597239434149 \tabularnewline
0.06 & 499.030190783921 & 6.98248162273958 \tabularnewline
0.07 & 502.040543832877 & 6.48345921376875 \tabularnewline
0.08 & 504.626256626418 & 6.02787650525018 \tabularnewline
0.09 & 506.884130049327 & 5.6397301781118 \tabularnewline
0.1 & 508.886921561473 & 5.34158350800348 \tabularnewline
0.11 & 510.694314416969 & 5.13440943252241 \tabularnewline
0.12 & 512.355328133182 & 5.00416534706932 \tabularnewline
0.13 & 513.908518852884 & 4.93225082381371 \tabularnewline
0.14 & 515.382758187715 & 4.90288735102543 \tabularnewline
0.15 & 516.798539231485 & 4.90536962379333 \tabularnewline
0.16 & 518.169065078389 & 4.92114821561128 \tabularnewline
0.17 & 519.500915102921 & 4.92926789864528 \tabularnewline
0.18 & 520.794724542881 & 4.90488637150657 \tabularnewline
0.19 & 522.046457082957 & 4.83269415532208 \tabularnewline
0.2 & 523.249487708708 & 4.70840716950979 \tabularnewline
0.21 & 524.397173730862 & 4.53984050637124 \tabularnewline
0.22 & 525.485235288 & 4.34827210970089 \tabularnewline
0.23 & 526.513271233985 & 4.15753911766073 \tabularnewline
0.24 & 527.485053649568 & 3.99036177789189 \tabularnewline
0.25 & 528.407683522335 & 3.86138368563011 \tabularnewline
0.26 & 529.290046094898 & 3.77232167621621 \tabularnewline
0.27 & 530.141152240223 & 3.71956190878388 \tabularnewline
0.28 & 530.968878095271 & 3.69045079496525 \tabularnewline
0.29 & 531.779390713447 & 3.67539316830198 \tabularnewline
0.3 & 532.577278903271 & 3.66807731152846 \tabularnewline
0.31 & 533.366189242118 & 3.66904194587185 \tabularnewline
0.32 & 534.14965131051 & 3.68146713905173 \tabularnewline
0.33 & 534.93177298819 & 3.71419373497438 \tabularnewline
0.34 & 535.717572193116 & 3.7746734803561 \tabularnewline
0.35 & 536.51284493606 & 3.86879761491776 \tabularnewline
0.36 & 537.323608641905 & 3.99465487199834 \tabularnewline
0.37 & 538.15527062111 & 4.14844791266213 \tabularnewline
0.38 & 539.011734039683 & 4.31703882485881 \tabularnewline
0.39 & 539.89466139092 & 4.48469616884321 \tabularnewline
0.4 & 540.803073873044 & 4.63607142423381 \tabularnewline
0.41 & 541.733388242941 & 4.75736235666049 \tabularnewline
0.42 & 542.679899244844 & 4.8390081480334 \tabularnewline
0.43 & 543.635625037442 & 4.87491195706773 \tabularnewline
0.44 & 544.593362200449 & 4.86973788013734 \tabularnewline
0.45 & 545.546758035435 & 4.829737252308 \tabularnewline
0.46 & 546.491206624998 & 4.76810659704885 \tabularnewline
0.47 & 547.424410040451 & 4.70036100229856 \tabularnewline
0.48 & 548.346509249342 & 4.63960531885682 \tabularnewline
0.49 & 549.259767941914 & 4.60089652890274 \tabularnewline
0.5 & 550.167871751594 & 4.58605180184708 \tabularnewline
0.51 & 551.074971034109 & 4.5968825022355 \tabularnewline
0.52 & 551.98463674089 & 4.62712214126829 \tabularnewline
0.53 & 552.898910359129 & 4.66402550316443 \tabularnewline
0.54 & 553.817610436284 & 4.69222292050799 \tabularnewline
0.55 & 554.738014923873 & 4.69797323726107 \tabularnewline
0.56 & 555.654979070736 & 4.66730370813672 \tabularnewline
0.57 & 556.561483131631 & 4.59170540713091 \tabularnewline
0.58 & 557.449542739487 & 4.4676281031824 \tabularnewline
0.59 & 558.311365533693 & 4.30007240222263 \tabularnewline
0.6 & 559.140605651016 & 4.09748879122931 \tabularnewline
0.61 & 559.933554693397 & 3.87692817197949 \tabularnewline
0.62 & 560.69011262454 & 3.65847844620884 \tabularnewline
0.63 & 561.414401962126 & 3.46655391052651 \tabularnewline
0.64 & 562.114920950297 & 3.32573466009316 \tabularnewline
0.65 & 562.804174774443 & 3.25700228415323 \tabularnewline
0.66 & 563.497778278008 & 3.27683499495548 \tabularnewline
0.67 & 564.213088567278 & 3.3906259244241 \tabularnewline
0.68 & 564.96749741723 & 3.59219283141236 \tabularnewline
0.69 & 565.776581567742 & 3.86275305322456 \tabularnewline
0.7 & 566.652357873008 & 4.17830929069461 \tabularnewline
0.71 & 567.601902082741 & 4.50705789324774 \tabularnewline
0.72 & 568.626553040571 & 4.81742853969023 \tabularnewline
0.73 & 569.721840601581 & 5.08314383321471 \tabularnewline
0.74 & 570.87816520015 & 5.28292790533373 \tabularnewline
0.75 & 572.082150978548 & 5.40273645365444 \tabularnewline
0.76 & 573.318521490526 & 5.44083063085876 \tabularnewline
0.77 & 574.57231730589 & 5.40286054268653 \tabularnewline
0.78 & 575.831271275522 & 5.30423452785697 \tabularnewline
0.79 & 577.088142430865 & 5.17009073255998 \tabularnewline
0.8 & 578.342747729716 & 5.0317875472267 \tabularnewline
0.81 & 579.603314871051 & 4.92706682955806 \tabularnewline
0.82 & 580.886648765577 & 4.89339259237268 \tabularnewline
0.83 & 582.216546193168 & 4.95887308495303 \tabularnewline
0.84 & 583.620025478725 & 5.13247991639819 \tabularnewline
0.85 & 585.121375934291 & 5.39302821589869 \tabularnewline
0.86 & 586.734833998508 & 5.6863419195963 \tabularnewline
0.87 & 588.457778418094 & 5.93412187796203 \tabularnewline
0.88 & 590.267388332427 & 6.05092839000367 \tabularnewline
0.89 & 592.124128959049 & 5.97097670525728 \tabularnewline
0.9 & 593.984448907844 & 5.68040028256049 \tabularnewline
0.91 & 595.8220489384 & 5.24445323919854 \tabularnewline
0.92 & 597.651978390827 & 4.81271478944016 \tabularnewline
0.93 & 599.545987673518 & 4.59077044715129 \tabularnewline
0.94 & 601.625374268768 & 4.72908577054388 \tabularnewline
0.95 & 604.028117616942 & 5.15967163892774 \tabularnewline
0.96 & 606.877326228148 & 5.57430217388566 \tabularnewline
0.97 & 610.294759770466 & 5.71562009957234 \tabularnewline
0.98 & 614.382178426731 & 5.96233830988817 \tabularnewline
0.99 & 618.80645782634 & 7.24074996095164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238718&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]473.111515036778[/C][C]9.33118791903436[/C][/ROW]
[ROW][C]0.02[/C][C]479.437849242253[/C][C]9.7080901925336[/C][/ROW]
[ROW][C]0.03[/C][C]485.740892587478[/C][C]9.21095007555941[/C][/ROW]
[ROW][C]0.04[/C][C]491.09407501155[/C][C]8.31140120139239[/C][/ROW]
[ROW][C]0.05[/C][C]495.451110348976[/C][C]7.55597239434149[/C][/ROW]
[ROW][C]0.06[/C][C]499.030190783921[/C][C]6.98248162273958[/C][/ROW]
[ROW][C]0.07[/C][C]502.040543832877[/C][C]6.48345921376875[/C][/ROW]
[ROW][C]0.08[/C][C]504.626256626418[/C][C]6.02787650525018[/C][/ROW]
[ROW][C]0.09[/C][C]506.884130049327[/C][C]5.6397301781118[/C][/ROW]
[ROW][C]0.1[/C][C]508.886921561473[/C][C]5.34158350800348[/C][/ROW]
[ROW][C]0.11[/C][C]510.694314416969[/C][C]5.13440943252241[/C][/ROW]
[ROW][C]0.12[/C][C]512.355328133182[/C][C]5.00416534706932[/C][/ROW]
[ROW][C]0.13[/C][C]513.908518852884[/C][C]4.93225082381371[/C][/ROW]
[ROW][C]0.14[/C][C]515.382758187715[/C][C]4.90288735102543[/C][/ROW]
[ROW][C]0.15[/C][C]516.798539231485[/C][C]4.90536962379333[/C][/ROW]
[ROW][C]0.16[/C][C]518.169065078389[/C][C]4.92114821561128[/C][/ROW]
[ROW][C]0.17[/C][C]519.500915102921[/C][C]4.92926789864528[/C][/ROW]
[ROW][C]0.18[/C][C]520.794724542881[/C][C]4.90488637150657[/C][/ROW]
[ROW][C]0.19[/C][C]522.046457082957[/C][C]4.83269415532208[/C][/ROW]
[ROW][C]0.2[/C][C]523.249487708708[/C][C]4.70840716950979[/C][/ROW]
[ROW][C]0.21[/C][C]524.397173730862[/C][C]4.53984050637124[/C][/ROW]
[ROW][C]0.22[/C][C]525.485235288[/C][C]4.34827210970089[/C][/ROW]
[ROW][C]0.23[/C][C]526.513271233985[/C][C]4.15753911766073[/C][/ROW]
[ROW][C]0.24[/C][C]527.485053649568[/C][C]3.99036177789189[/C][/ROW]
[ROW][C]0.25[/C][C]528.407683522335[/C][C]3.86138368563011[/C][/ROW]
[ROW][C]0.26[/C][C]529.290046094898[/C][C]3.77232167621621[/C][/ROW]
[ROW][C]0.27[/C][C]530.141152240223[/C][C]3.71956190878388[/C][/ROW]
[ROW][C]0.28[/C][C]530.968878095271[/C][C]3.69045079496525[/C][/ROW]
[ROW][C]0.29[/C][C]531.779390713447[/C][C]3.67539316830198[/C][/ROW]
[ROW][C]0.3[/C][C]532.577278903271[/C][C]3.66807731152846[/C][/ROW]
[ROW][C]0.31[/C][C]533.366189242118[/C][C]3.66904194587185[/C][/ROW]
[ROW][C]0.32[/C][C]534.14965131051[/C][C]3.68146713905173[/C][/ROW]
[ROW][C]0.33[/C][C]534.93177298819[/C][C]3.71419373497438[/C][/ROW]
[ROW][C]0.34[/C][C]535.717572193116[/C][C]3.7746734803561[/C][/ROW]
[ROW][C]0.35[/C][C]536.51284493606[/C][C]3.86879761491776[/C][/ROW]
[ROW][C]0.36[/C][C]537.323608641905[/C][C]3.99465487199834[/C][/ROW]
[ROW][C]0.37[/C][C]538.15527062111[/C][C]4.14844791266213[/C][/ROW]
[ROW][C]0.38[/C][C]539.011734039683[/C][C]4.31703882485881[/C][/ROW]
[ROW][C]0.39[/C][C]539.89466139092[/C][C]4.48469616884321[/C][/ROW]
[ROW][C]0.4[/C][C]540.803073873044[/C][C]4.63607142423381[/C][/ROW]
[ROW][C]0.41[/C][C]541.733388242941[/C][C]4.75736235666049[/C][/ROW]
[ROW][C]0.42[/C][C]542.679899244844[/C][C]4.8390081480334[/C][/ROW]
[ROW][C]0.43[/C][C]543.635625037442[/C][C]4.87491195706773[/C][/ROW]
[ROW][C]0.44[/C][C]544.593362200449[/C][C]4.86973788013734[/C][/ROW]
[ROW][C]0.45[/C][C]545.546758035435[/C][C]4.829737252308[/C][/ROW]
[ROW][C]0.46[/C][C]546.491206624998[/C][C]4.76810659704885[/C][/ROW]
[ROW][C]0.47[/C][C]547.424410040451[/C][C]4.70036100229856[/C][/ROW]
[ROW][C]0.48[/C][C]548.346509249342[/C][C]4.63960531885682[/C][/ROW]
[ROW][C]0.49[/C][C]549.259767941914[/C][C]4.60089652890274[/C][/ROW]
[ROW][C]0.5[/C][C]550.167871751594[/C][C]4.58605180184708[/C][/ROW]
[ROW][C]0.51[/C][C]551.074971034109[/C][C]4.5968825022355[/C][/ROW]
[ROW][C]0.52[/C][C]551.98463674089[/C][C]4.62712214126829[/C][/ROW]
[ROW][C]0.53[/C][C]552.898910359129[/C][C]4.66402550316443[/C][/ROW]
[ROW][C]0.54[/C][C]553.817610436284[/C][C]4.69222292050799[/C][/ROW]
[ROW][C]0.55[/C][C]554.738014923873[/C][C]4.69797323726107[/C][/ROW]
[ROW][C]0.56[/C][C]555.654979070736[/C][C]4.66730370813672[/C][/ROW]
[ROW][C]0.57[/C][C]556.561483131631[/C][C]4.59170540713091[/C][/ROW]
[ROW][C]0.58[/C][C]557.449542739487[/C][C]4.4676281031824[/C][/ROW]
[ROW][C]0.59[/C][C]558.311365533693[/C][C]4.30007240222263[/C][/ROW]
[ROW][C]0.6[/C][C]559.140605651016[/C][C]4.09748879122931[/C][/ROW]
[ROW][C]0.61[/C][C]559.933554693397[/C][C]3.87692817197949[/C][/ROW]
[ROW][C]0.62[/C][C]560.69011262454[/C][C]3.65847844620884[/C][/ROW]
[ROW][C]0.63[/C][C]561.414401962126[/C][C]3.46655391052651[/C][/ROW]
[ROW][C]0.64[/C][C]562.114920950297[/C][C]3.32573466009316[/C][/ROW]
[ROW][C]0.65[/C][C]562.804174774443[/C][C]3.25700228415323[/C][/ROW]
[ROW][C]0.66[/C][C]563.497778278008[/C][C]3.27683499495548[/C][/ROW]
[ROW][C]0.67[/C][C]564.213088567278[/C][C]3.3906259244241[/C][/ROW]
[ROW][C]0.68[/C][C]564.96749741723[/C][C]3.59219283141236[/C][/ROW]
[ROW][C]0.69[/C][C]565.776581567742[/C][C]3.86275305322456[/C][/ROW]
[ROW][C]0.7[/C][C]566.652357873008[/C][C]4.17830929069461[/C][/ROW]
[ROW][C]0.71[/C][C]567.601902082741[/C][C]4.50705789324774[/C][/ROW]
[ROW][C]0.72[/C][C]568.626553040571[/C][C]4.81742853969023[/C][/ROW]
[ROW][C]0.73[/C][C]569.721840601581[/C][C]5.08314383321471[/C][/ROW]
[ROW][C]0.74[/C][C]570.87816520015[/C][C]5.28292790533373[/C][/ROW]
[ROW][C]0.75[/C][C]572.082150978548[/C][C]5.40273645365444[/C][/ROW]
[ROW][C]0.76[/C][C]573.318521490526[/C][C]5.44083063085876[/C][/ROW]
[ROW][C]0.77[/C][C]574.57231730589[/C][C]5.40286054268653[/C][/ROW]
[ROW][C]0.78[/C][C]575.831271275522[/C][C]5.30423452785697[/C][/ROW]
[ROW][C]0.79[/C][C]577.088142430865[/C][C]5.17009073255998[/C][/ROW]
[ROW][C]0.8[/C][C]578.342747729716[/C][C]5.0317875472267[/C][/ROW]
[ROW][C]0.81[/C][C]579.603314871051[/C][C]4.92706682955806[/C][/ROW]
[ROW][C]0.82[/C][C]580.886648765577[/C][C]4.89339259237268[/C][/ROW]
[ROW][C]0.83[/C][C]582.216546193168[/C][C]4.95887308495303[/C][/ROW]
[ROW][C]0.84[/C][C]583.620025478725[/C][C]5.13247991639819[/C][/ROW]
[ROW][C]0.85[/C][C]585.121375934291[/C][C]5.39302821589869[/C][/ROW]
[ROW][C]0.86[/C][C]586.734833998508[/C][C]5.6863419195963[/C][/ROW]
[ROW][C]0.87[/C][C]588.457778418094[/C][C]5.93412187796203[/C][/ROW]
[ROW][C]0.88[/C][C]590.267388332427[/C][C]6.05092839000367[/C][/ROW]
[ROW][C]0.89[/C][C]592.124128959049[/C][C]5.97097670525728[/C][/ROW]
[ROW][C]0.9[/C][C]593.984448907844[/C][C]5.68040028256049[/C][/ROW]
[ROW][C]0.91[/C][C]595.8220489384[/C][C]5.24445323919854[/C][/ROW]
[ROW][C]0.92[/C][C]597.651978390827[/C][C]4.81271478944016[/C][/ROW]
[ROW][C]0.93[/C][C]599.545987673518[/C][C]4.59077044715129[/C][/ROW]
[ROW][C]0.94[/C][C]601.625374268768[/C][C]4.72908577054388[/C][/ROW]
[ROW][C]0.95[/C][C]604.028117616942[/C][C]5.15967163892774[/C][/ROW]
[ROW][C]0.96[/C][C]606.877326228148[/C][C]5.57430217388566[/C][/ROW]
[ROW][C]0.97[/C][C]610.294759770466[/C][C]5.71562009957234[/C][/ROW]
[ROW][C]0.98[/C][C]614.382178426731[/C][C]5.96233830988817[/C][/ROW]
[ROW][C]0.99[/C][C]618.80645782634[/C][C]7.24074996095164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238718&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238718&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
0.01473.1115150367789.33118791903436
0.02479.4378492422539.7080901925336
0.03485.7408925874789.21095007555941
0.04491.094075011558.31140120139239
0.05495.4511103489767.55597239434149
0.06499.0301907839216.98248162273958
0.07502.0405438328776.48345921376875
0.08504.6262566264186.02787650525018
0.09506.8841300493275.6397301781118
0.1508.8869215614735.34158350800348
0.11510.6943144169695.13440943252241
0.12512.3553281331825.00416534706932
0.13513.9085188528844.93225082381371
0.14515.3827581877154.90288735102543
0.15516.7985392314854.90536962379333
0.16518.1690650783894.92114821561128
0.17519.5009151029214.92926789864528
0.18520.7947245428814.90488637150657
0.19522.0464570829574.83269415532208
0.2523.2494877087084.70840716950979
0.21524.3971737308624.53984050637124
0.22525.4852352884.34827210970089
0.23526.5132712339854.15753911766073
0.24527.4850536495683.99036177789189
0.25528.4076835223353.86138368563011
0.26529.2900460948983.77232167621621
0.27530.1411522402233.71956190878388
0.28530.9688780952713.69045079496525
0.29531.7793907134473.67539316830198
0.3532.5772789032713.66807731152846
0.31533.3661892421183.66904194587185
0.32534.149651310513.68146713905173
0.33534.931772988193.71419373497438
0.34535.7175721931163.7746734803561
0.35536.512844936063.86879761491776
0.36537.3236086419053.99465487199834
0.37538.155270621114.14844791266213
0.38539.0117340396834.31703882485881
0.39539.894661390924.48469616884321
0.4540.8030738730444.63607142423381
0.41541.7333882429414.75736235666049
0.42542.6798992448444.8390081480334
0.43543.6356250374424.87491195706773
0.44544.5933622004494.86973788013734
0.45545.5467580354354.829737252308
0.46546.4912066249984.76810659704885
0.47547.4244100404514.70036100229856
0.48548.3465092493424.63960531885682
0.49549.2597679419144.60089652890274
0.5550.1678717515944.58605180184708
0.51551.0749710341094.5968825022355
0.52551.984636740894.62712214126829
0.53552.8989103591294.66402550316443
0.54553.8176104362844.69222292050799
0.55554.7380149238734.69797323726107
0.56555.6549790707364.66730370813672
0.57556.5614831316314.59170540713091
0.58557.4495427394874.4676281031824
0.59558.3113655336934.30007240222263
0.6559.1406056510164.09748879122931
0.61559.9335546933973.87692817197949
0.62560.690112624543.65847844620884
0.63561.4144019621263.46655391052651
0.64562.1149209502973.32573466009316
0.65562.8041747744433.25700228415323
0.66563.4977782780083.27683499495548
0.67564.2130885672783.3906259244241
0.68564.967497417233.59219283141236
0.69565.7765815677423.86275305322456
0.7566.6523578730084.17830929069461
0.71567.6019020827414.50705789324774
0.72568.6265530405714.81742853969023
0.73569.7218406015815.08314383321471
0.74570.878165200155.28292790533373
0.75572.0821509785485.40273645365444
0.76573.3185214905265.44083063085876
0.77574.572317305895.40286054268653
0.78575.8312712755225.30423452785697
0.79577.0881424308655.17009073255998
0.8578.3427477297165.0317875472267
0.81579.6033148710514.92706682955806
0.82580.8866487655774.89339259237268
0.83582.2165461931684.95887308495303
0.84583.6200254787255.13247991639819
0.85585.1213759342915.39302821589869
0.86586.7348339985085.6863419195963
0.87588.4577784180945.93412187796203
0.88590.2673883324276.05092839000367
0.89592.1241289590495.97097670525728
0.9593.9844489078445.68040028256049
0.91595.82204893845.24445323919854
0.92597.6519783908274.81271478944016
0.93599.5459876735184.59077044715129
0.94601.6253742687684.72908577054388
0.95604.0281176169425.15967163892774
0.96606.8773262281485.57430217388566
0.97610.2947597704665.71562009957234
0.98614.3821784267315.96233830988817
0.99618.806457826347.24074996095164


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')