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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 computationWed, 25 Mar 2009 07:05:56 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/25/t1237986442hmtwwaf674bhfqd.htm/, Retrieved Tue, 23 Apr 2024 13:31:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39175, Retrieved Tue, 23 Apr 2024 13:31:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204

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] [percentielen eige...] [2009-03-25 13:05:56] [2fef2e3c8097f11f80164f604c894b1e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
528222
516141
501866
506174
517945
533590
528379
477580
469357
490243
492622
507561
516922
514258
509846
527070
541657
564591
555362
498662
511038
525919
531673
548854
560576
557274
565742
587625
619916
625809
619567
572942
572775
574205
579799
590072
593408
597141
595404
612117
628232
628884
620735
569028
567456
573100
584428
589379
590865
595454
594167
611324
612613
610763
593530
542722
536662
543599
555332
560854
562325
554788
547344
565464
577992
579714
569323
506971
500857
509127
509933
517009
519164
512238
509239
518585
522975
525192
516847
455626

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39175&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39175&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39175&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01460730.15981545412373.2452041280
0.02468322.40564589911689.8828393370
0.03475873.52092273911450.4197316435
0.04482404.64320536510783.6780410568
0.05487794.4479616839616.10454708577
0.06492157.25295418310.5056499499
0.07495659.4797673037144.21015515344
0.08498476.8944320926192.75834186442
0.09500767.0916621185420.6915967506
0.1502653.8126627474772.71816170308
0.11504227.3413096074211.97541274704
0.12505553.8814824933728.18508423498
0.13506685.786671873331.71473167671
0.14507668.5263573473040.94814912937
0.15508543.6534774912869.19824947900
0.16509348.7220995682815.38706155083
0.17510115.6512648352859.20784085719
0.18510868.9544106162966.85678138178
0.19511624.8457496783103.30498528181
0.2512391.6933315513238.12557752822
0.21513171.7651417923353.31801412462
0.22513963.8168356863445.24428053599
0.23514765.8617498093523.38415596141
0.24515577.4668470763606.00536909183
0.25516401.1060449443715.2148911342
0.26517242.4035377183867.01055055784
0.27518109.4156170574071.29829143325
0.28519011.3348867124325.78453477962
0.29519957.0941015394621.57765712995
0.3520954.2873011774945.27288982606
0.31522008.651479055285.79149448744
0.32523124.1316313785635.5465389831
0.33524303.3596851365992.30899561931
0.34525548.2687038626358.61036339369
0.35526860.5596220866737.23886504976
0.36528241.8246986057129.11512229904
0.37529693.2698656517531.07413970997
0.38531215.1172980567936.81961145895
0.39532805.8672036198329.23485896768
0.4534461.630926118694.08889269946
0.41536175.7164254089012.33722750137
0.42537938.5718500679269.09613103403
0.43539738.1024959989450.29622566835
0.44541560.2984815759549.4564942315
0.45543390.0624225669562.42380118132
0.46545212.1125362189492.31093905862
0.47547011.8502163639343.09595336653
0.48548776.1099522839127.53456956045
0.49550493.7416428848855.11499740744
0.5552156.0032824628538.93806940765
0.51553756.763189188195.51992818408
0.52555292.5264378917837.50620958783
0.53556762.3119067577477.82627868324
0.54558167.4153287127129.59314128749
0.55559511.0994881996801.40012691138
0.56560798.2541159996500.89203631493
0.57562035.0645305766234.9371834798
0.58563228.7201964016006.68445123877
0.59564387.1834439515818.94595774533
0.6565519.0258213455674.91939009815
0.61566633.3253154565576.4214295778
0.62567739.6017985785523.51310973267
0.63568847.7509330895518.13423892633
0.64569967.9208891375561.81885655849
0.65571110.2668937495653.58931522075
0.66572284.5230593055791.11870993178
0.67573499.3557060815966.75981725583
0.68574761.5099210546171.20565681406
0.69576074.8267130026385.23978252214
0.7577439.2791907416589.22471321222
0.71578850.2342292046756.9177916384
0.72580298.1717990886864.47247672723
0.73581769.0738779056889.4199847693
0.74583245.6260222536817.72611626036
0.75584709.2669413066646.9964603339
0.76586142.991821656386.17591992076
0.77587534.6779686486062.67558678474
0.78588880.5582141055716.95099903539
0.79590188.3080027965404.12616622801
0.8591479.033359655188.81323976013
0.81592787.292413275137.15870092
0.82594158.2776741975299.23632756926
0.83595641.6257672325684.89333925679
0.84597282.1729386016248.7840214322
0.85599109.2892160016890.6544218264
0.86601127.7579143597479.08562132144
0.87603313.7057817127881.87126373975
0.88605618.0481096548005.71785955509
0.89607977.2488539847824.99704828036
0.9610328.1255864367386.70427154253
0.91612621.9818422726787.04658615633
0.92614834.6161324256130.37276195885
0.93616970.9765337185502.23608978073
0.94619062.417241324972.87353659702
0.95621149.5569910014587.8348514865
0.96623242.5657710924274.40690542838
0.97625266.9150724283770.41077876801
0.98627034.7966188582806.33416993456
0.99628295.9425618261505.7285167494

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 460730.159815454 & 12373.2452041280 \tabularnewline
0.02 & 468322.405645899 & 11689.8828393370 \tabularnewline
0.03 & 475873.520922739 & 11450.4197316435 \tabularnewline
0.04 & 482404.643205365 & 10783.6780410568 \tabularnewline
0.05 & 487794.447961683 & 9616.10454708577 \tabularnewline
0.06 & 492157.2529541 & 8310.5056499499 \tabularnewline
0.07 & 495659.479767303 & 7144.21015515344 \tabularnewline
0.08 & 498476.894432092 & 6192.75834186442 \tabularnewline
0.09 & 500767.091662118 & 5420.6915967506 \tabularnewline
0.1 & 502653.812662747 & 4772.71816170308 \tabularnewline
0.11 & 504227.341309607 & 4211.97541274704 \tabularnewline
0.12 & 505553.881482493 & 3728.18508423498 \tabularnewline
0.13 & 506685.78667187 & 3331.71473167671 \tabularnewline
0.14 & 507668.526357347 & 3040.94814912937 \tabularnewline
0.15 & 508543.653477491 & 2869.19824947900 \tabularnewline
0.16 & 509348.722099568 & 2815.38706155083 \tabularnewline
0.17 & 510115.651264835 & 2859.20784085719 \tabularnewline
0.18 & 510868.954410616 & 2966.85678138178 \tabularnewline
0.19 & 511624.845749678 & 3103.30498528181 \tabularnewline
0.2 & 512391.693331551 & 3238.12557752822 \tabularnewline
0.21 & 513171.765141792 & 3353.31801412462 \tabularnewline
0.22 & 513963.816835686 & 3445.24428053599 \tabularnewline
0.23 & 514765.861749809 & 3523.38415596141 \tabularnewline
0.24 & 515577.466847076 & 3606.00536909183 \tabularnewline
0.25 & 516401.106044944 & 3715.2148911342 \tabularnewline
0.26 & 517242.403537718 & 3867.01055055784 \tabularnewline
0.27 & 518109.415617057 & 4071.29829143325 \tabularnewline
0.28 & 519011.334886712 & 4325.78453477962 \tabularnewline
0.29 & 519957.094101539 & 4621.57765712995 \tabularnewline
0.3 & 520954.287301177 & 4945.27288982606 \tabularnewline
0.31 & 522008.65147905 & 5285.79149448744 \tabularnewline
0.32 & 523124.131631378 & 5635.5465389831 \tabularnewline
0.33 & 524303.359685136 & 5992.30899561931 \tabularnewline
0.34 & 525548.268703862 & 6358.61036339369 \tabularnewline
0.35 & 526860.559622086 & 6737.23886504976 \tabularnewline
0.36 & 528241.824698605 & 7129.11512229904 \tabularnewline
0.37 & 529693.269865651 & 7531.07413970997 \tabularnewline
0.38 & 531215.117298056 & 7936.81961145895 \tabularnewline
0.39 & 532805.867203619 & 8329.23485896768 \tabularnewline
0.4 & 534461.63092611 & 8694.08889269946 \tabularnewline
0.41 & 536175.716425408 & 9012.33722750137 \tabularnewline
0.42 & 537938.571850067 & 9269.09613103403 \tabularnewline
0.43 & 539738.102495998 & 9450.29622566835 \tabularnewline
0.44 & 541560.298481575 & 9549.4564942315 \tabularnewline
0.45 & 543390.062422566 & 9562.42380118132 \tabularnewline
0.46 & 545212.112536218 & 9492.31093905862 \tabularnewline
0.47 & 547011.850216363 & 9343.09595336653 \tabularnewline
0.48 & 548776.109952283 & 9127.53456956045 \tabularnewline
0.49 & 550493.741642884 & 8855.11499740744 \tabularnewline
0.5 & 552156.003282462 & 8538.93806940765 \tabularnewline
0.51 & 553756.76318918 & 8195.51992818408 \tabularnewline
0.52 & 555292.526437891 & 7837.50620958783 \tabularnewline
0.53 & 556762.311906757 & 7477.82627868324 \tabularnewline
0.54 & 558167.415328712 & 7129.59314128749 \tabularnewline
0.55 & 559511.099488199 & 6801.40012691138 \tabularnewline
0.56 & 560798.254115999 & 6500.89203631493 \tabularnewline
0.57 & 562035.064530576 & 6234.9371834798 \tabularnewline
0.58 & 563228.720196401 & 6006.68445123877 \tabularnewline
0.59 & 564387.183443951 & 5818.94595774533 \tabularnewline
0.6 & 565519.025821345 & 5674.91939009815 \tabularnewline
0.61 & 566633.325315456 & 5576.4214295778 \tabularnewline
0.62 & 567739.601798578 & 5523.51310973267 \tabularnewline
0.63 & 568847.750933089 & 5518.13423892633 \tabularnewline
0.64 & 569967.920889137 & 5561.81885655849 \tabularnewline
0.65 & 571110.266893749 & 5653.58931522075 \tabularnewline
0.66 & 572284.523059305 & 5791.11870993178 \tabularnewline
0.67 & 573499.355706081 & 5966.75981725583 \tabularnewline
0.68 & 574761.509921054 & 6171.20565681406 \tabularnewline
0.69 & 576074.826713002 & 6385.23978252214 \tabularnewline
0.7 & 577439.279190741 & 6589.22471321222 \tabularnewline
0.71 & 578850.234229204 & 6756.9177916384 \tabularnewline
0.72 & 580298.171799088 & 6864.47247672723 \tabularnewline
0.73 & 581769.073877905 & 6889.4199847693 \tabularnewline
0.74 & 583245.626022253 & 6817.72611626036 \tabularnewline
0.75 & 584709.266941306 & 6646.9964603339 \tabularnewline
0.76 & 586142.99182165 & 6386.17591992076 \tabularnewline
0.77 & 587534.677968648 & 6062.67558678474 \tabularnewline
0.78 & 588880.558214105 & 5716.95099903539 \tabularnewline
0.79 & 590188.308002796 & 5404.12616622801 \tabularnewline
0.8 & 591479.03335965 & 5188.81323976013 \tabularnewline
0.81 & 592787.29241327 & 5137.15870092 \tabularnewline
0.82 & 594158.277674197 & 5299.23632756926 \tabularnewline
0.83 & 595641.625767232 & 5684.89333925679 \tabularnewline
0.84 & 597282.172938601 & 6248.7840214322 \tabularnewline
0.85 & 599109.289216001 & 6890.6544218264 \tabularnewline
0.86 & 601127.757914359 & 7479.08562132144 \tabularnewline
0.87 & 603313.705781712 & 7881.87126373975 \tabularnewline
0.88 & 605618.048109654 & 8005.71785955509 \tabularnewline
0.89 & 607977.248853984 & 7824.99704828036 \tabularnewline
0.9 & 610328.125586436 & 7386.70427154253 \tabularnewline
0.91 & 612621.981842272 & 6787.04658615633 \tabularnewline
0.92 & 614834.616132425 & 6130.37276195885 \tabularnewline
0.93 & 616970.976533718 & 5502.23608978073 \tabularnewline
0.94 & 619062.41724132 & 4972.87353659702 \tabularnewline
0.95 & 621149.556991001 & 4587.8348514865 \tabularnewline
0.96 & 623242.565771092 & 4274.40690542838 \tabularnewline
0.97 & 625266.915072428 & 3770.41077876801 \tabularnewline
0.98 & 627034.796618858 & 2806.33416993456 \tabularnewline
0.99 & 628295.942561826 & 1505.7285167494 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39175&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]460730.159815454[/C][C]12373.2452041280[/C][/ROW]
[ROW][C]0.02[/C][C]468322.405645899[/C][C]11689.8828393370[/C][/ROW]
[ROW][C]0.03[/C][C]475873.520922739[/C][C]11450.4197316435[/C][/ROW]
[ROW][C]0.04[/C][C]482404.643205365[/C][C]10783.6780410568[/C][/ROW]
[ROW][C]0.05[/C][C]487794.447961683[/C][C]9616.10454708577[/C][/ROW]
[ROW][C]0.06[/C][C]492157.2529541[/C][C]8310.5056499499[/C][/ROW]
[ROW][C]0.07[/C][C]495659.479767303[/C][C]7144.21015515344[/C][/ROW]
[ROW][C]0.08[/C][C]498476.894432092[/C][C]6192.75834186442[/C][/ROW]
[ROW][C]0.09[/C][C]500767.091662118[/C][C]5420.6915967506[/C][/ROW]
[ROW][C]0.1[/C][C]502653.812662747[/C][C]4772.71816170308[/C][/ROW]
[ROW][C]0.11[/C][C]504227.341309607[/C][C]4211.97541274704[/C][/ROW]
[ROW][C]0.12[/C][C]505553.881482493[/C][C]3728.18508423498[/C][/ROW]
[ROW][C]0.13[/C][C]506685.78667187[/C][C]3331.71473167671[/C][/ROW]
[ROW][C]0.14[/C][C]507668.526357347[/C][C]3040.94814912937[/C][/ROW]
[ROW][C]0.15[/C][C]508543.653477491[/C][C]2869.19824947900[/C][/ROW]
[ROW][C]0.16[/C][C]509348.722099568[/C][C]2815.38706155083[/C][/ROW]
[ROW][C]0.17[/C][C]510115.651264835[/C][C]2859.20784085719[/C][/ROW]
[ROW][C]0.18[/C][C]510868.954410616[/C][C]2966.85678138178[/C][/ROW]
[ROW][C]0.19[/C][C]511624.845749678[/C][C]3103.30498528181[/C][/ROW]
[ROW][C]0.2[/C][C]512391.693331551[/C][C]3238.12557752822[/C][/ROW]
[ROW][C]0.21[/C][C]513171.765141792[/C][C]3353.31801412462[/C][/ROW]
[ROW][C]0.22[/C][C]513963.816835686[/C][C]3445.24428053599[/C][/ROW]
[ROW][C]0.23[/C][C]514765.861749809[/C][C]3523.38415596141[/C][/ROW]
[ROW][C]0.24[/C][C]515577.466847076[/C][C]3606.00536909183[/C][/ROW]
[ROW][C]0.25[/C][C]516401.106044944[/C][C]3715.2148911342[/C][/ROW]
[ROW][C]0.26[/C][C]517242.403537718[/C][C]3867.01055055784[/C][/ROW]
[ROW][C]0.27[/C][C]518109.415617057[/C][C]4071.29829143325[/C][/ROW]
[ROW][C]0.28[/C][C]519011.334886712[/C][C]4325.78453477962[/C][/ROW]
[ROW][C]0.29[/C][C]519957.094101539[/C][C]4621.57765712995[/C][/ROW]
[ROW][C]0.3[/C][C]520954.287301177[/C][C]4945.27288982606[/C][/ROW]
[ROW][C]0.31[/C][C]522008.65147905[/C][C]5285.79149448744[/C][/ROW]
[ROW][C]0.32[/C][C]523124.131631378[/C][C]5635.5465389831[/C][/ROW]
[ROW][C]0.33[/C][C]524303.359685136[/C][C]5992.30899561931[/C][/ROW]
[ROW][C]0.34[/C][C]525548.268703862[/C][C]6358.61036339369[/C][/ROW]
[ROW][C]0.35[/C][C]526860.559622086[/C][C]6737.23886504976[/C][/ROW]
[ROW][C]0.36[/C][C]528241.824698605[/C][C]7129.11512229904[/C][/ROW]
[ROW][C]0.37[/C][C]529693.269865651[/C][C]7531.07413970997[/C][/ROW]
[ROW][C]0.38[/C][C]531215.117298056[/C][C]7936.81961145895[/C][/ROW]
[ROW][C]0.39[/C][C]532805.867203619[/C][C]8329.23485896768[/C][/ROW]
[ROW][C]0.4[/C][C]534461.63092611[/C][C]8694.08889269946[/C][/ROW]
[ROW][C]0.41[/C][C]536175.716425408[/C][C]9012.33722750137[/C][/ROW]
[ROW][C]0.42[/C][C]537938.571850067[/C][C]9269.09613103403[/C][/ROW]
[ROW][C]0.43[/C][C]539738.102495998[/C][C]9450.29622566835[/C][/ROW]
[ROW][C]0.44[/C][C]541560.298481575[/C][C]9549.4564942315[/C][/ROW]
[ROW][C]0.45[/C][C]543390.062422566[/C][C]9562.42380118132[/C][/ROW]
[ROW][C]0.46[/C][C]545212.112536218[/C][C]9492.31093905862[/C][/ROW]
[ROW][C]0.47[/C][C]547011.850216363[/C][C]9343.09595336653[/C][/ROW]
[ROW][C]0.48[/C][C]548776.109952283[/C][C]9127.53456956045[/C][/ROW]
[ROW][C]0.49[/C][C]550493.741642884[/C][C]8855.11499740744[/C][/ROW]
[ROW][C]0.5[/C][C]552156.003282462[/C][C]8538.93806940765[/C][/ROW]
[ROW][C]0.51[/C][C]553756.76318918[/C][C]8195.51992818408[/C][/ROW]
[ROW][C]0.52[/C][C]555292.526437891[/C][C]7837.50620958783[/C][/ROW]
[ROW][C]0.53[/C][C]556762.311906757[/C][C]7477.82627868324[/C][/ROW]
[ROW][C]0.54[/C][C]558167.415328712[/C][C]7129.59314128749[/C][/ROW]
[ROW][C]0.55[/C][C]559511.099488199[/C][C]6801.40012691138[/C][/ROW]
[ROW][C]0.56[/C][C]560798.254115999[/C][C]6500.89203631493[/C][/ROW]
[ROW][C]0.57[/C][C]562035.064530576[/C][C]6234.9371834798[/C][/ROW]
[ROW][C]0.58[/C][C]563228.720196401[/C][C]6006.68445123877[/C][/ROW]
[ROW][C]0.59[/C][C]564387.183443951[/C][C]5818.94595774533[/C][/ROW]
[ROW][C]0.6[/C][C]565519.025821345[/C][C]5674.91939009815[/C][/ROW]
[ROW][C]0.61[/C][C]566633.325315456[/C][C]5576.4214295778[/C][/ROW]
[ROW][C]0.62[/C][C]567739.601798578[/C][C]5523.51310973267[/C][/ROW]
[ROW][C]0.63[/C][C]568847.750933089[/C][C]5518.13423892633[/C][/ROW]
[ROW][C]0.64[/C][C]569967.920889137[/C][C]5561.81885655849[/C][/ROW]
[ROW][C]0.65[/C][C]571110.266893749[/C][C]5653.58931522075[/C][/ROW]
[ROW][C]0.66[/C][C]572284.523059305[/C][C]5791.11870993178[/C][/ROW]
[ROW][C]0.67[/C][C]573499.355706081[/C][C]5966.75981725583[/C][/ROW]
[ROW][C]0.68[/C][C]574761.509921054[/C][C]6171.20565681406[/C][/ROW]
[ROW][C]0.69[/C][C]576074.826713002[/C][C]6385.23978252214[/C][/ROW]
[ROW][C]0.7[/C][C]577439.279190741[/C][C]6589.22471321222[/C][/ROW]
[ROW][C]0.71[/C][C]578850.234229204[/C][C]6756.9177916384[/C][/ROW]
[ROW][C]0.72[/C][C]580298.171799088[/C][C]6864.47247672723[/C][/ROW]
[ROW][C]0.73[/C][C]581769.073877905[/C][C]6889.4199847693[/C][/ROW]
[ROW][C]0.74[/C][C]583245.626022253[/C][C]6817.72611626036[/C][/ROW]
[ROW][C]0.75[/C][C]584709.266941306[/C][C]6646.9964603339[/C][/ROW]
[ROW][C]0.76[/C][C]586142.99182165[/C][C]6386.17591992076[/C][/ROW]
[ROW][C]0.77[/C][C]587534.677968648[/C][C]6062.67558678474[/C][/ROW]
[ROW][C]0.78[/C][C]588880.558214105[/C][C]5716.95099903539[/C][/ROW]
[ROW][C]0.79[/C][C]590188.308002796[/C][C]5404.12616622801[/C][/ROW]
[ROW][C]0.8[/C][C]591479.03335965[/C][C]5188.81323976013[/C][/ROW]
[ROW][C]0.81[/C][C]592787.29241327[/C][C]5137.15870092[/C][/ROW]
[ROW][C]0.82[/C][C]594158.277674197[/C][C]5299.23632756926[/C][/ROW]
[ROW][C]0.83[/C][C]595641.625767232[/C][C]5684.89333925679[/C][/ROW]
[ROW][C]0.84[/C][C]597282.172938601[/C][C]6248.7840214322[/C][/ROW]
[ROW][C]0.85[/C][C]599109.289216001[/C][C]6890.6544218264[/C][/ROW]
[ROW][C]0.86[/C][C]601127.757914359[/C][C]7479.08562132144[/C][/ROW]
[ROW][C]0.87[/C][C]603313.705781712[/C][C]7881.87126373975[/C][/ROW]
[ROW][C]0.88[/C][C]605618.048109654[/C][C]8005.71785955509[/C][/ROW]
[ROW][C]0.89[/C][C]607977.248853984[/C][C]7824.99704828036[/C][/ROW]
[ROW][C]0.9[/C][C]610328.125586436[/C][C]7386.70427154253[/C][/ROW]
[ROW][C]0.91[/C][C]612621.981842272[/C][C]6787.04658615633[/C][/ROW]
[ROW][C]0.92[/C][C]614834.616132425[/C][C]6130.37276195885[/C][/ROW]
[ROW][C]0.93[/C][C]616970.976533718[/C][C]5502.23608978073[/C][/ROW]
[ROW][C]0.94[/C][C]619062.41724132[/C][C]4972.87353659702[/C][/ROW]
[ROW][C]0.95[/C][C]621149.556991001[/C][C]4587.8348514865[/C][/ROW]
[ROW][C]0.96[/C][C]623242.565771092[/C][C]4274.40690542838[/C][/ROW]
[ROW][C]0.97[/C][C]625266.915072428[/C][C]3770.41077876801[/C][/ROW]
[ROW][C]0.98[/C][C]627034.796618858[/C][C]2806.33416993456[/C][/ROW]
[ROW][C]0.99[/C][C]628295.942561826[/C][C]1505.7285167494[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39175&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39175&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
0.01460730.15981545412373.2452041280
0.02468322.40564589911689.8828393370
0.03475873.52092273911450.4197316435
0.04482404.64320536510783.6780410568
0.05487794.4479616839616.10454708577
0.06492157.25295418310.5056499499
0.07495659.4797673037144.21015515344
0.08498476.8944320926192.75834186442
0.09500767.0916621185420.6915967506
0.1502653.8126627474772.71816170308
0.11504227.3413096074211.97541274704
0.12505553.8814824933728.18508423498
0.13506685.786671873331.71473167671
0.14507668.5263573473040.94814912937
0.15508543.6534774912869.19824947900
0.16509348.7220995682815.38706155083
0.17510115.6512648352859.20784085719
0.18510868.9544106162966.85678138178
0.19511624.8457496783103.30498528181
0.2512391.6933315513238.12557752822
0.21513171.7651417923353.31801412462
0.22513963.8168356863445.24428053599
0.23514765.8617498093523.38415596141
0.24515577.4668470763606.00536909183
0.25516401.1060449443715.2148911342
0.26517242.4035377183867.01055055784
0.27518109.4156170574071.29829143325
0.28519011.3348867124325.78453477962
0.29519957.0941015394621.57765712995
0.3520954.2873011774945.27288982606
0.31522008.651479055285.79149448744
0.32523124.1316313785635.5465389831
0.33524303.3596851365992.30899561931
0.34525548.2687038626358.61036339369
0.35526860.5596220866737.23886504976
0.36528241.8246986057129.11512229904
0.37529693.2698656517531.07413970997
0.38531215.1172980567936.81961145895
0.39532805.8672036198329.23485896768
0.4534461.630926118694.08889269946
0.41536175.7164254089012.33722750137
0.42537938.5718500679269.09613103403
0.43539738.1024959989450.29622566835
0.44541560.2984815759549.4564942315
0.45543390.0624225669562.42380118132
0.46545212.1125362189492.31093905862
0.47547011.8502163639343.09595336653
0.48548776.1099522839127.53456956045
0.49550493.7416428848855.11499740744
0.5552156.0032824628538.93806940765
0.51553756.763189188195.51992818408
0.52555292.5264378917837.50620958783
0.53556762.3119067577477.82627868324
0.54558167.4153287127129.59314128749
0.55559511.0994881996801.40012691138
0.56560798.2541159996500.89203631493
0.57562035.0645305766234.9371834798
0.58563228.7201964016006.68445123877
0.59564387.1834439515818.94595774533
0.6565519.0258213455674.91939009815
0.61566633.3253154565576.4214295778
0.62567739.6017985785523.51310973267
0.63568847.7509330895518.13423892633
0.64569967.9208891375561.81885655849
0.65571110.2668937495653.58931522075
0.66572284.5230593055791.11870993178
0.67573499.3557060815966.75981725583
0.68574761.5099210546171.20565681406
0.69576074.8267130026385.23978252214
0.7577439.2791907416589.22471321222
0.71578850.2342292046756.9177916384
0.72580298.1717990886864.47247672723
0.73581769.0738779056889.4199847693
0.74583245.6260222536817.72611626036
0.75584709.2669413066646.9964603339
0.76586142.991821656386.17591992076
0.77587534.6779686486062.67558678474
0.78588880.5582141055716.95099903539
0.79590188.3080027965404.12616622801
0.8591479.033359655188.81323976013
0.81592787.292413275137.15870092
0.82594158.2776741975299.23632756926
0.83595641.6257672325684.89333925679
0.84597282.1729386016248.7840214322
0.85599109.2892160016890.6544218264
0.86601127.7579143597479.08562132144
0.87603313.7057817127881.87126373975
0.88605618.0481096548005.71785955509
0.89607977.2488539847824.99704828036
0.9610328.1255864367386.70427154253
0.91612621.9818422726787.04658615633
0.92614834.6161324256130.37276195885
0.93616970.9765337185502.23608978073
0.94619062.417241324972.87353659702
0.95621149.5569910014587.8348514865
0.96623242.5657710924274.40690542838
0.97625266.9150724283770.41077876801
0.98627034.7966188582806.33416993456
0.99628295.9425618261505.7285167494


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')