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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 computationSat, 11 Oct 2014 17:53:42 +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/11/t1413046631o7zz7pk8560yycy.htm/, Retrieved Tue, 14 May 2024 21:08:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=240502, Retrieved Tue, 14 May 2024 21:08:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

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] [] [2014-10-11 16:53:42] [09c39f9cdae305b47e6b113e2a46d5a6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240502&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=240502&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240502&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01472.3510519937039.28727839568117
0.02477.6952099317399.94512482633764
0.03483.51464083112710.1851822685668
0.04488.9579325764679.99234849014968
0.05493.7848277566479.68402413248058
0.06498.026289240189.36571696751883
0.07501.7725367240658.99153997492377
0.08505.0980171289728.53091142377829
0.09508.0532189758547.99829353729392
0.1510.6761385894237.43147658060728
0.11513.0030856116166.87773550526177
0.12515.0735929545516.38581782183901
0.13516.9301620612755.99268784574042
0.14518.6149842184315.70988392726169
0.15520.1657577101815.5197738395369
0.16521.6123579151095.38416371744756
0.17522.9754564259645.26496045915101
0.18524.2672846277415.13460206203371
0.19525.4939239094844.98328411034571
0.2526.6581053455294.81430960315598
0.21527.7615976693154.63778845681686
0.22528.8066847916944.46532396831129
0.23529.796715305144.30294611131541
0.24530.7360352824454.15555389275129
0.25531.6297115157664.02330140238069
0.26532.4833537696533.90918302557128
0.27533.3031528946963.81409344524309
0.28534.0960703139093.74904198188055
0.29534.8700104175723.72129321138866
0.3535.6337997249483.740971614173
0.31536.3968654951443.81287531621805
0.32537.1686120452763.93675998362311
0.33537.9575941457714.10384000610239
0.34538.7706533624274.30092354595607
0.35539.6122011748954.51047367479219
0.36540.4838035630124.71422947160461
0.37541.3841579854174.89554232818336
0.38542.3094733089715.04150649124069
0.39543.2541848914355.14608216610294
0.4544.2118761573325.2069503023637
0.41545.1762447646395.22925430884394
0.42546.1419497323965.223246254039
0.43547.1052035997575.19998558712064
0.44548.0640238643575.17321526687129
0.45549.0181204887075.1528537490766
0.46549.9684598666325.1442981615198
0.47550.9165997433565.15134083752236
0.48551.8639259408315.16730823724154
0.49552.8109354788895.18482867533
0.5553.7567007141285.19203230094254
0.51554.6986179637435.17614212376545
0.52555.6324972109795.12815654362982
0.53556.5529943279485.04113624120191
0.54557.4543320316084.91381811295647
0.55558.331208409674.75044930376926
0.56559.1797589113734.5618687616071
0.57559.9984237804194.36440176004544
0.58560.7885801818354.17689779015793
0.59561.5548263322584.02122949638986
0.6562.3048507986623.91668967189899
0.61563.0488783229463.87905854121971
0.62563.7987463632363.91592629271911
0.63564.5667246386134.02636829472739
0.64565.3642333559514.19876373244889
0.65566.2006356957244.41513050355015
0.66567.0822711839954.65160626300694
0.67568.0118590219134.8865173017549
0.68568.9883412600685.09656884905024
0.69570.0071678203475.26574708931258
0.7571.0609645519595.38112602730897
0.71572.1404855056385.43725499157018
0.72573.2357380971155.4339565961562
0.73574.3371813411475.37677713342216
0.74575.4369199201835.27682794389826
0.75576.5298328547835.1478683765172
0.76577.6145700299155.00995351536395
0.77578.6943177389664.88465819977816
0.78579.777184486844.79665985075009
0.79580.8760123802934.7698071380089
0.8582.0074077695884.82054366689124
0.81583.1898393986564.95634127172138
0.82584.4407995078575.16703074755968
0.83585.7732743937265.42562179881039
0.84587.1921084526465.68614840566335
0.85588.6912065512245.89385857137577
0.86590.25278255775.99393223848807
0.87591.849855552225.94413317772815
0.88593.4527371910645.73259556341454
0.89595.0392193156635.38898239016547
0.9596.6065785099664.99161176270185
0.91598.1816419937494.6614521549897
0.92599.8237819562154.53233990554082
0.93601.6165095804574.68292769724366
0.94603.6489481232425.05532298984293
0.95605.99968608945.4533211221512
0.96608.7419269087275.666118523788
0.97611.9573102913315.73121894476476
0.98615.6480105530466.18135018850621
0.99619.392143510217.4850756546602

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 472.351051993703 & 9.28727839568117 \tabularnewline
0.02 & 477.695209931739 & 9.94512482633764 \tabularnewline
0.03 & 483.514640831127 & 10.1851822685668 \tabularnewline
0.04 & 488.957932576467 & 9.99234849014968 \tabularnewline
0.05 & 493.784827756647 & 9.68402413248058 \tabularnewline
0.06 & 498.02628924018 & 9.36571696751883 \tabularnewline
0.07 & 501.772536724065 & 8.99153997492377 \tabularnewline
0.08 & 505.098017128972 & 8.53091142377829 \tabularnewline
0.09 & 508.053218975854 & 7.99829353729392 \tabularnewline
0.1 & 510.676138589423 & 7.43147658060728 \tabularnewline
0.11 & 513.003085611616 & 6.87773550526177 \tabularnewline
0.12 & 515.073592954551 & 6.38581782183901 \tabularnewline
0.13 & 516.930162061275 & 5.99268784574042 \tabularnewline
0.14 & 518.614984218431 & 5.70988392726169 \tabularnewline
0.15 & 520.165757710181 & 5.5197738395369 \tabularnewline
0.16 & 521.612357915109 & 5.38416371744756 \tabularnewline
0.17 & 522.975456425964 & 5.26496045915101 \tabularnewline
0.18 & 524.267284627741 & 5.13460206203371 \tabularnewline
0.19 & 525.493923909484 & 4.98328411034571 \tabularnewline
0.2 & 526.658105345529 & 4.81430960315598 \tabularnewline
0.21 & 527.761597669315 & 4.63778845681686 \tabularnewline
0.22 & 528.806684791694 & 4.46532396831129 \tabularnewline
0.23 & 529.79671530514 & 4.30294611131541 \tabularnewline
0.24 & 530.736035282445 & 4.15555389275129 \tabularnewline
0.25 & 531.629711515766 & 4.02330140238069 \tabularnewline
0.26 & 532.483353769653 & 3.90918302557128 \tabularnewline
0.27 & 533.303152894696 & 3.81409344524309 \tabularnewline
0.28 & 534.096070313909 & 3.74904198188055 \tabularnewline
0.29 & 534.870010417572 & 3.72129321138866 \tabularnewline
0.3 & 535.633799724948 & 3.740971614173 \tabularnewline
0.31 & 536.396865495144 & 3.81287531621805 \tabularnewline
0.32 & 537.168612045276 & 3.93675998362311 \tabularnewline
0.33 & 537.957594145771 & 4.10384000610239 \tabularnewline
0.34 & 538.770653362427 & 4.30092354595607 \tabularnewline
0.35 & 539.612201174895 & 4.51047367479219 \tabularnewline
0.36 & 540.483803563012 & 4.71422947160461 \tabularnewline
0.37 & 541.384157985417 & 4.89554232818336 \tabularnewline
0.38 & 542.309473308971 & 5.04150649124069 \tabularnewline
0.39 & 543.254184891435 & 5.14608216610294 \tabularnewline
0.4 & 544.211876157332 & 5.2069503023637 \tabularnewline
0.41 & 545.176244764639 & 5.22925430884394 \tabularnewline
0.42 & 546.141949732396 & 5.223246254039 \tabularnewline
0.43 & 547.105203599757 & 5.19998558712064 \tabularnewline
0.44 & 548.064023864357 & 5.17321526687129 \tabularnewline
0.45 & 549.018120488707 & 5.1528537490766 \tabularnewline
0.46 & 549.968459866632 & 5.1442981615198 \tabularnewline
0.47 & 550.916599743356 & 5.15134083752236 \tabularnewline
0.48 & 551.863925940831 & 5.16730823724154 \tabularnewline
0.49 & 552.810935478889 & 5.18482867533 \tabularnewline
0.5 & 553.756700714128 & 5.19203230094254 \tabularnewline
0.51 & 554.698617963743 & 5.17614212376545 \tabularnewline
0.52 & 555.632497210979 & 5.12815654362982 \tabularnewline
0.53 & 556.552994327948 & 5.04113624120191 \tabularnewline
0.54 & 557.454332031608 & 4.91381811295647 \tabularnewline
0.55 & 558.33120840967 & 4.75044930376926 \tabularnewline
0.56 & 559.179758911373 & 4.5618687616071 \tabularnewline
0.57 & 559.998423780419 & 4.36440176004544 \tabularnewline
0.58 & 560.788580181835 & 4.17689779015793 \tabularnewline
0.59 & 561.554826332258 & 4.02122949638986 \tabularnewline
0.6 & 562.304850798662 & 3.91668967189899 \tabularnewline
0.61 & 563.048878322946 & 3.87905854121971 \tabularnewline
0.62 & 563.798746363236 & 3.91592629271911 \tabularnewline
0.63 & 564.566724638613 & 4.02636829472739 \tabularnewline
0.64 & 565.364233355951 & 4.19876373244889 \tabularnewline
0.65 & 566.200635695724 & 4.41513050355015 \tabularnewline
0.66 & 567.082271183995 & 4.65160626300694 \tabularnewline
0.67 & 568.011859021913 & 4.8865173017549 \tabularnewline
0.68 & 568.988341260068 & 5.09656884905024 \tabularnewline
0.69 & 570.007167820347 & 5.26574708931258 \tabularnewline
0.7 & 571.060964551959 & 5.38112602730897 \tabularnewline
0.71 & 572.140485505638 & 5.43725499157018 \tabularnewline
0.72 & 573.235738097115 & 5.4339565961562 \tabularnewline
0.73 & 574.337181341147 & 5.37677713342216 \tabularnewline
0.74 & 575.436919920183 & 5.27682794389826 \tabularnewline
0.75 & 576.529832854783 & 5.1478683765172 \tabularnewline
0.76 & 577.614570029915 & 5.00995351536395 \tabularnewline
0.77 & 578.694317738966 & 4.88465819977816 \tabularnewline
0.78 & 579.77718448684 & 4.79665985075009 \tabularnewline
0.79 & 580.876012380293 & 4.7698071380089 \tabularnewline
0.8 & 582.007407769588 & 4.82054366689124 \tabularnewline
0.81 & 583.189839398656 & 4.95634127172138 \tabularnewline
0.82 & 584.440799507857 & 5.16703074755968 \tabularnewline
0.83 & 585.773274393726 & 5.42562179881039 \tabularnewline
0.84 & 587.192108452646 & 5.68614840566335 \tabularnewline
0.85 & 588.691206551224 & 5.89385857137577 \tabularnewline
0.86 & 590.2527825577 & 5.99393223848807 \tabularnewline
0.87 & 591.84985555222 & 5.94413317772815 \tabularnewline
0.88 & 593.452737191064 & 5.73259556341454 \tabularnewline
0.89 & 595.039219315663 & 5.38898239016547 \tabularnewline
0.9 & 596.606578509966 & 4.99161176270185 \tabularnewline
0.91 & 598.181641993749 & 4.6614521549897 \tabularnewline
0.92 & 599.823781956215 & 4.53233990554082 \tabularnewline
0.93 & 601.616509580457 & 4.68292769724366 \tabularnewline
0.94 & 603.648948123242 & 5.05532298984293 \tabularnewline
0.95 & 605.9996860894 & 5.4533211221512 \tabularnewline
0.96 & 608.741926908727 & 5.666118523788 \tabularnewline
0.97 & 611.957310291331 & 5.73121894476476 \tabularnewline
0.98 & 615.648010553046 & 6.18135018850621 \tabularnewline
0.99 & 619.39214351021 & 7.4850756546602 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240502&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]472.351051993703[/C][C]9.28727839568117[/C][/ROW]
[ROW][C]0.02[/C][C]477.695209931739[/C][C]9.94512482633764[/C][/ROW]
[ROW][C]0.03[/C][C]483.514640831127[/C][C]10.1851822685668[/C][/ROW]
[ROW][C]0.04[/C][C]488.957932576467[/C][C]9.99234849014968[/C][/ROW]
[ROW][C]0.05[/C][C]493.784827756647[/C][C]9.68402413248058[/C][/ROW]
[ROW][C]0.06[/C][C]498.02628924018[/C][C]9.36571696751883[/C][/ROW]
[ROW][C]0.07[/C][C]501.772536724065[/C][C]8.99153997492377[/C][/ROW]
[ROW][C]0.08[/C][C]505.098017128972[/C][C]8.53091142377829[/C][/ROW]
[ROW][C]0.09[/C][C]508.053218975854[/C][C]7.99829353729392[/C][/ROW]
[ROW][C]0.1[/C][C]510.676138589423[/C][C]7.43147658060728[/C][/ROW]
[ROW][C]0.11[/C][C]513.003085611616[/C][C]6.87773550526177[/C][/ROW]
[ROW][C]0.12[/C][C]515.073592954551[/C][C]6.38581782183901[/C][/ROW]
[ROW][C]0.13[/C][C]516.930162061275[/C][C]5.99268784574042[/C][/ROW]
[ROW][C]0.14[/C][C]518.614984218431[/C][C]5.70988392726169[/C][/ROW]
[ROW][C]0.15[/C][C]520.165757710181[/C][C]5.5197738395369[/C][/ROW]
[ROW][C]0.16[/C][C]521.612357915109[/C][C]5.38416371744756[/C][/ROW]
[ROW][C]0.17[/C][C]522.975456425964[/C][C]5.26496045915101[/C][/ROW]
[ROW][C]0.18[/C][C]524.267284627741[/C][C]5.13460206203371[/C][/ROW]
[ROW][C]0.19[/C][C]525.493923909484[/C][C]4.98328411034571[/C][/ROW]
[ROW][C]0.2[/C][C]526.658105345529[/C][C]4.81430960315598[/C][/ROW]
[ROW][C]0.21[/C][C]527.761597669315[/C][C]4.63778845681686[/C][/ROW]
[ROW][C]0.22[/C][C]528.806684791694[/C][C]4.46532396831129[/C][/ROW]
[ROW][C]0.23[/C][C]529.79671530514[/C][C]4.30294611131541[/C][/ROW]
[ROW][C]0.24[/C][C]530.736035282445[/C][C]4.15555389275129[/C][/ROW]
[ROW][C]0.25[/C][C]531.629711515766[/C][C]4.02330140238069[/C][/ROW]
[ROW][C]0.26[/C][C]532.483353769653[/C][C]3.90918302557128[/C][/ROW]
[ROW][C]0.27[/C][C]533.303152894696[/C][C]3.81409344524309[/C][/ROW]
[ROW][C]0.28[/C][C]534.096070313909[/C][C]3.74904198188055[/C][/ROW]
[ROW][C]0.29[/C][C]534.870010417572[/C][C]3.72129321138866[/C][/ROW]
[ROW][C]0.3[/C][C]535.633799724948[/C][C]3.740971614173[/C][/ROW]
[ROW][C]0.31[/C][C]536.396865495144[/C][C]3.81287531621805[/C][/ROW]
[ROW][C]0.32[/C][C]537.168612045276[/C][C]3.93675998362311[/C][/ROW]
[ROW][C]0.33[/C][C]537.957594145771[/C][C]4.10384000610239[/C][/ROW]
[ROW][C]0.34[/C][C]538.770653362427[/C][C]4.30092354595607[/C][/ROW]
[ROW][C]0.35[/C][C]539.612201174895[/C][C]4.51047367479219[/C][/ROW]
[ROW][C]0.36[/C][C]540.483803563012[/C][C]4.71422947160461[/C][/ROW]
[ROW][C]0.37[/C][C]541.384157985417[/C][C]4.89554232818336[/C][/ROW]
[ROW][C]0.38[/C][C]542.309473308971[/C][C]5.04150649124069[/C][/ROW]
[ROW][C]0.39[/C][C]543.254184891435[/C][C]5.14608216610294[/C][/ROW]
[ROW][C]0.4[/C][C]544.211876157332[/C][C]5.2069503023637[/C][/ROW]
[ROW][C]0.41[/C][C]545.176244764639[/C][C]5.22925430884394[/C][/ROW]
[ROW][C]0.42[/C][C]546.141949732396[/C][C]5.223246254039[/C][/ROW]
[ROW][C]0.43[/C][C]547.105203599757[/C][C]5.19998558712064[/C][/ROW]
[ROW][C]0.44[/C][C]548.064023864357[/C][C]5.17321526687129[/C][/ROW]
[ROW][C]0.45[/C][C]549.018120488707[/C][C]5.1528537490766[/C][/ROW]
[ROW][C]0.46[/C][C]549.968459866632[/C][C]5.1442981615198[/C][/ROW]
[ROW][C]0.47[/C][C]550.916599743356[/C][C]5.15134083752236[/C][/ROW]
[ROW][C]0.48[/C][C]551.863925940831[/C][C]5.16730823724154[/C][/ROW]
[ROW][C]0.49[/C][C]552.810935478889[/C][C]5.18482867533[/C][/ROW]
[ROW][C]0.5[/C][C]553.756700714128[/C][C]5.19203230094254[/C][/ROW]
[ROW][C]0.51[/C][C]554.698617963743[/C][C]5.17614212376545[/C][/ROW]
[ROW][C]0.52[/C][C]555.632497210979[/C][C]5.12815654362982[/C][/ROW]
[ROW][C]0.53[/C][C]556.552994327948[/C][C]5.04113624120191[/C][/ROW]
[ROW][C]0.54[/C][C]557.454332031608[/C][C]4.91381811295647[/C][/ROW]
[ROW][C]0.55[/C][C]558.33120840967[/C][C]4.75044930376926[/C][/ROW]
[ROW][C]0.56[/C][C]559.179758911373[/C][C]4.5618687616071[/C][/ROW]
[ROW][C]0.57[/C][C]559.998423780419[/C][C]4.36440176004544[/C][/ROW]
[ROW][C]0.58[/C][C]560.788580181835[/C][C]4.17689779015793[/C][/ROW]
[ROW][C]0.59[/C][C]561.554826332258[/C][C]4.02122949638986[/C][/ROW]
[ROW][C]0.6[/C][C]562.304850798662[/C][C]3.91668967189899[/C][/ROW]
[ROW][C]0.61[/C][C]563.048878322946[/C][C]3.87905854121971[/C][/ROW]
[ROW][C]0.62[/C][C]563.798746363236[/C][C]3.91592629271911[/C][/ROW]
[ROW][C]0.63[/C][C]564.566724638613[/C][C]4.02636829472739[/C][/ROW]
[ROW][C]0.64[/C][C]565.364233355951[/C][C]4.19876373244889[/C][/ROW]
[ROW][C]0.65[/C][C]566.200635695724[/C][C]4.41513050355015[/C][/ROW]
[ROW][C]0.66[/C][C]567.082271183995[/C][C]4.65160626300694[/C][/ROW]
[ROW][C]0.67[/C][C]568.011859021913[/C][C]4.8865173017549[/C][/ROW]
[ROW][C]0.68[/C][C]568.988341260068[/C][C]5.09656884905024[/C][/ROW]
[ROW][C]0.69[/C][C]570.007167820347[/C][C]5.26574708931258[/C][/ROW]
[ROW][C]0.7[/C][C]571.060964551959[/C][C]5.38112602730897[/C][/ROW]
[ROW][C]0.71[/C][C]572.140485505638[/C][C]5.43725499157018[/C][/ROW]
[ROW][C]0.72[/C][C]573.235738097115[/C][C]5.4339565961562[/C][/ROW]
[ROW][C]0.73[/C][C]574.337181341147[/C][C]5.37677713342216[/C][/ROW]
[ROW][C]0.74[/C][C]575.436919920183[/C][C]5.27682794389826[/C][/ROW]
[ROW][C]0.75[/C][C]576.529832854783[/C][C]5.1478683765172[/C][/ROW]
[ROW][C]0.76[/C][C]577.614570029915[/C][C]5.00995351536395[/C][/ROW]
[ROW][C]0.77[/C][C]578.694317738966[/C][C]4.88465819977816[/C][/ROW]
[ROW][C]0.78[/C][C]579.77718448684[/C][C]4.79665985075009[/C][/ROW]
[ROW][C]0.79[/C][C]580.876012380293[/C][C]4.7698071380089[/C][/ROW]
[ROW][C]0.8[/C][C]582.007407769588[/C][C]4.82054366689124[/C][/ROW]
[ROW][C]0.81[/C][C]583.189839398656[/C][C]4.95634127172138[/C][/ROW]
[ROW][C]0.82[/C][C]584.440799507857[/C][C]5.16703074755968[/C][/ROW]
[ROW][C]0.83[/C][C]585.773274393726[/C][C]5.42562179881039[/C][/ROW]
[ROW][C]0.84[/C][C]587.192108452646[/C][C]5.68614840566335[/C][/ROW]
[ROW][C]0.85[/C][C]588.691206551224[/C][C]5.89385857137577[/C][/ROW]
[ROW][C]0.86[/C][C]590.2527825577[/C][C]5.99393223848807[/C][/ROW]
[ROW][C]0.87[/C][C]591.84985555222[/C][C]5.94413317772815[/C][/ROW]
[ROW][C]0.88[/C][C]593.452737191064[/C][C]5.73259556341454[/C][/ROW]
[ROW][C]0.89[/C][C]595.039219315663[/C][C]5.38898239016547[/C][/ROW]
[ROW][C]0.9[/C][C]596.606578509966[/C][C]4.99161176270185[/C][/ROW]
[ROW][C]0.91[/C][C]598.181641993749[/C][C]4.6614521549897[/C][/ROW]
[ROW][C]0.92[/C][C]599.823781956215[/C][C]4.53233990554082[/C][/ROW]
[ROW][C]0.93[/C][C]601.616509580457[/C][C]4.68292769724366[/C][/ROW]
[ROW][C]0.94[/C][C]603.648948123242[/C][C]5.05532298984293[/C][/ROW]
[ROW][C]0.95[/C][C]605.9996860894[/C][C]5.4533211221512[/C][/ROW]
[ROW][C]0.96[/C][C]608.741926908727[/C][C]5.666118523788[/C][/ROW]
[ROW][C]0.97[/C][C]611.957310291331[/C][C]5.73121894476476[/C][/ROW]
[ROW][C]0.98[/C][C]615.648010553046[/C][C]6.18135018850621[/C][/ROW]
[ROW][C]0.99[/C][C]619.39214351021[/C][C]7.4850756546602[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=240502&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240502&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
0.01472.3510519937039.28727839568117
0.02477.6952099317399.94512482633764
0.03483.51464083112710.1851822685668
0.04488.9579325764679.99234849014968
0.05493.7848277566479.68402413248058
0.06498.026289240189.36571696751883
0.07501.7725367240658.99153997492377
0.08505.0980171289728.53091142377829
0.09508.0532189758547.99829353729392
0.1510.6761385894237.43147658060728
0.11513.0030856116166.87773550526177
0.12515.0735929545516.38581782183901
0.13516.9301620612755.99268784574042
0.14518.6149842184315.70988392726169
0.15520.1657577101815.5197738395369
0.16521.6123579151095.38416371744756
0.17522.9754564259645.26496045915101
0.18524.2672846277415.13460206203371
0.19525.4939239094844.98328411034571
0.2526.6581053455294.81430960315598
0.21527.7615976693154.63778845681686
0.22528.8066847916944.46532396831129
0.23529.796715305144.30294611131541
0.24530.7360352824454.15555389275129
0.25531.6297115157664.02330140238069
0.26532.4833537696533.90918302557128
0.27533.3031528946963.81409344524309
0.28534.0960703139093.74904198188055
0.29534.8700104175723.72129321138866
0.3535.6337997249483.740971614173
0.31536.3968654951443.81287531621805
0.32537.1686120452763.93675998362311
0.33537.9575941457714.10384000610239
0.34538.7706533624274.30092354595607
0.35539.6122011748954.51047367479219
0.36540.4838035630124.71422947160461
0.37541.3841579854174.89554232818336
0.38542.3094733089715.04150649124069
0.39543.2541848914355.14608216610294
0.4544.2118761573325.2069503023637
0.41545.1762447646395.22925430884394
0.42546.1419497323965.223246254039
0.43547.1052035997575.19998558712064
0.44548.0640238643575.17321526687129
0.45549.0181204887075.1528537490766
0.46549.9684598666325.1442981615198
0.47550.9165997433565.15134083752236
0.48551.8639259408315.16730823724154
0.49552.8109354788895.18482867533
0.5553.7567007141285.19203230094254
0.51554.6986179637435.17614212376545
0.52555.6324972109795.12815654362982
0.53556.5529943279485.04113624120191
0.54557.4543320316084.91381811295647
0.55558.331208409674.75044930376926
0.56559.1797589113734.5618687616071
0.57559.9984237804194.36440176004544
0.58560.7885801818354.17689779015793
0.59561.5548263322584.02122949638986
0.6562.3048507986623.91668967189899
0.61563.0488783229463.87905854121971
0.62563.7987463632363.91592629271911
0.63564.5667246386134.02636829472739
0.64565.3642333559514.19876373244889
0.65566.2006356957244.41513050355015
0.66567.0822711839954.65160626300694
0.67568.0118590219134.8865173017549
0.68568.9883412600685.09656884905024
0.69570.0071678203475.26574708931258
0.7571.0609645519595.38112602730897
0.71572.1404855056385.43725499157018
0.72573.2357380971155.4339565961562
0.73574.3371813411475.37677713342216
0.74575.4369199201835.27682794389826
0.75576.5298328547835.1478683765172
0.76577.6145700299155.00995351536395
0.77578.6943177389664.88465819977816
0.78579.777184486844.79665985075009
0.79580.8760123802934.7698071380089
0.8582.0074077695884.82054366689124
0.81583.1898393986564.95634127172138
0.82584.4407995078575.16703074755968
0.83585.7732743937265.42562179881039
0.84587.1921084526465.68614840566335
0.85588.6912065512245.89385857137577
0.86590.25278255775.99393223848807
0.87591.849855552225.94413317772815
0.88593.4527371910645.73259556341454
0.89595.0392193156635.38898239016547
0.9596.6065785099664.99161176270185
0.91598.1816419937494.6614521549897
0.92599.8237819562154.53233990554082
0.93601.6165095804574.68292769724366
0.94603.6489481232425.05532298984293
0.95605.99968608945.4533211221512
0.96608.7419269087275.666118523788
0.97611.9573102913315.73121894476476
0.98615.6480105530466.18135018850621
0.99619.392143510217.4850756546602


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')