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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 computationTue, 26 Feb 2008 07:46:08 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/26/t1204037207m3mmtuc1v5fpuv9.htm/, Retrieved Sun, 05 May 2024 07:08:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9149, Retrieved Sun, 05 May 2024 07:08:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191

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] [Harrel-Davis perc...] [2008-02-26 14:46:08] [359689940591b99e4b3f32f3fb2e21b2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
513.13
513.13
513.13
513.13
513.13
513.13
513.13
513.13
513.13
527.96
527.96
527.96
527.96
527.96
527.96
527.96
527.96
527.96
527.96
527.96
527.96
536.61
536.61
536.61
536.61
536.61
536.61
536.61
536.61
536.61
536.61
536.61
536.61
545.06
545.06
545.06
545.06
545.06
545.06
545.06
545.06
545.06
545.06
545.06
545.06
564.24
564.24
564.24
564.24
564.24
564.24
564.24
564.24
564.24
564.24
564.24
564.24
573.68
573.68
573.68
573.68
573.68
573.68
573.68
573.68
573.68
573.68
573.68
573.68
576.3
576.29
576.29
576.29
576.29
576.29
576.29
576.29
576.3
576.29
576.3
576.29
589.85
589.85
589.85
589.85
589.85
589.85
589.85
589.85
589.85
589.85
589.85
589.85
599.12
599.12
599.12

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9149&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9149&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9149&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01513.1310664403540.005548830896395
0.02513.1413190124570.0502862799985797
0.03513.1909573494240.227848868683220
0.04513.3513211483240.689268837911566
0.05513.7390879305741.56199589733519
0.06514.4863544663562.82363741178145
0.07515.6804575481484.23608998998958
0.08517.3065836770025.42156723574181
0.09519.2321406353186.04031433266608
0.1521.2462039492665.9523438082771
0.11523.1319876471405.26019183009029
0.12524.7335715237914.23096805657514
0.13525.988550098323.16643631805496
0.14526.9221712522792.30633491521789
0.15527.6170997817421.80079759014812
0.16528.1775566174591.70119471422192
0.17528.700649281741.92884539310660
0.18529.2592163893332.33504455099359
0.19529.8949408609592.78888193470896
0.2530.6188004532213.18795373702846
0.21531.4163964474043.45879205456243
0.22532.2564303839333.56027310476409
0.23533.1007638387583.49024521624294
0.24533.9142808431833.28391293378984
0.25534.6727097653753.00330130209833
0.26535.3669835605672.72447545453582
0.27536.0035765211662.52102843168950
0.28536.6012478359432.4464477425443
0.29537.1854133999822.51807860514910
0.3537.7817572177442.71061122655115
0.31538.4106556519622.97247318932622
0.32539.0836157863223.24765543583094
0.33539.8023616276153.48692827859246
0.34540.5605708788693.66043133838818
0.35541.347682187333.76192400155357
0.36542.1537526301243.81104134952458
0.37542.9741243235253.85176303076511
0.38543.8127034206663.94406620484548
0.39544.6829630230674.14672641278418
0.4545.6062965310044.49982847725311
0.41546.6079637664665.0063370030987
0.42547.7114549109585.63176976150652
0.43548.9325132266946.30899497420718
0.44550.2742024613006.95563025024757
0.45551.7242296533837.48640374010381
0.46553.2552621124367.82819984103013
0.47554.8283075175237.93493047794197
0.48556.3985157833747.7943995909681
0.49557.9221889773367.43105750932735
0.5559.3635007873376.9014324313376
0.51560.699505154286.28288444922209
0.52561.9224316555475.66218871104315
0.53563.0389091186515.11577165503598
0.54564.0664598828334.69916792109011
0.55565.028191618524.43199304540418
0.56565.9469500503954.29610779496709
0.57566.8402235331734.24272720875052
0.58567.7168259048884.21016916301078
0.59568.57590923114.14262119914725
0.6569.4082955824234.00051028664523
0.61570.199600569683.76708409001663
0.62570.9342658850843.44737448133991
0.63571.5994943298263.06520729858836
0.64572.1882001635262.65674848493062
0.65572.7004018849942.26102176808616
0.66573.1429019038171.91338054638611
0.67573.5275101862811.63809643325699
0.68573.8683830403841.44527273588684
0.69574.1792059958871.32633420329831
0.7574.4709377657481.25973378093157
0.71574.7506758720911.21827916582434
0.72575.0219532357271.18060937311057
0.73575.2864843404981.13605706645360
0.74575.5470931449561.09265609050745
0.75575.8112922687081.07491719453976
0.76576.0947409472641.13079022771644
0.77576.4235862276211.31674957972872
0.78576.8345345063991.67825403493310
0.79577.3715475935942.22659803898582
0.8578.078528988962.93647137098623
0.81578.9884456902363.73889792957808
0.82580.1109498288294.52192148838989
0.83581.4222055543185.14666464651497
0.84582.8613570433725.47694689227551
0.85584.3369623846945.42178743258992
0.86585.7435385837764.96794655211595
0.87586.9841400614724.19185830571321
0.88587.9917436879993.23856730669953
0.89588.7422988165032.27705621316304
0.9589.2564270484441.45027206527778
0.91589.5935413558630.847649235446768
0.92589.848035453720.529666825016806
0.93590.1564005688290.637714338377627
0.94590.7089281462941.25084244188745
0.95591.727702111012.31605712269111
0.96593.3511699700593.51781952370324
0.97595.4297771339634.06024388786482
0.98597.4255079606453.16732280646111
0.99598.7055542685371.25834332193087

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 513.131066440354 & 0.005548830896395 \tabularnewline
0.02 & 513.141319012457 & 0.0502862799985797 \tabularnewline
0.03 & 513.190957349424 & 0.227848868683220 \tabularnewline
0.04 & 513.351321148324 & 0.689268837911566 \tabularnewline
0.05 & 513.739087930574 & 1.56199589733519 \tabularnewline
0.06 & 514.486354466356 & 2.82363741178145 \tabularnewline
0.07 & 515.680457548148 & 4.23608998998958 \tabularnewline
0.08 & 517.306583677002 & 5.42156723574181 \tabularnewline
0.09 & 519.232140635318 & 6.04031433266608 \tabularnewline
0.1 & 521.246203949266 & 5.9523438082771 \tabularnewline
0.11 & 523.131987647140 & 5.26019183009029 \tabularnewline
0.12 & 524.733571523791 & 4.23096805657514 \tabularnewline
0.13 & 525.98855009832 & 3.16643631805496 \tabularnewline
0.14 & 526.922171252279 & 2.30633491521789 \tabularnewline
0.15 & 527.617099781742 & 1.80079759014812 \tabularnewline
0.16 & 528.177556617459 & 1.70119471422192 \tabularnewline
0.17 & 528.70064928174 & 1.92884539310660 \tabularnewline
0.18 & 529.259216389333 & 2.33504455099359 \tabularnewline
0.19 & 529.894940860959 & 2.78888193470896 \tabularnewline
0.2 & 530.618800453221 & 3.18795373702846 \tabularnewline
0.21 & 531.416396447404 & 3.45879205456243 \tabularnewline
0.22 & 532.256430383933 & 3.56027310476409 \tabularnewline
0.23 & 533.100763838758 & 3.49024521624294 \tabularnewline
0.24 & 533.914280843183 & 3.28391293378984 \tabularnewline
0.25 & 534.672709765375 & 3.00330130209833 \tabularnewline
0.26 & 535.366983560567 & 2.72447545453582 \tabularnewline
0.27 & 536.003576521166 & 2.52102843168950 \tabularnewline
0.28 & 536.601247835943 & 2.4464477425443 \tabularnewline
0.29 & 537.185413399982 & 2.51807860514910 \tabularnewline
0.3 & 537.781757217744 & 2.71061122655115 \tabularnewline
0.31 & 538.410655651962 & 2.97247318932622 \tabularnewline
0.32 & 539.083615786322 & 3.24765543583094 \tabularnewline
0.33 & 539.802361627615 & 3.48692827859246 \tabularnewline
0.34 & 540.560570878869 & 3.66043133838818 \tabularnewline
0.35 & 541.34768218733 & 3.76192400155357 \tabularnewline
0.36 & 542.153752630124 & 3.81104134952458 \tabularnewline
0.37 & 542.974124323525 & 3.85176303076511 \tabularnewline
0.38 & 543.812703420666 & 3.94406620484548 \tabularnewline
0.39 & 544.682963023067 & 4.14672641278418 \tabularnewline
0.4 & 545.606296531004 & 4.49982847725311 \tabularnewline
0.41 & 546.607963766466 & 5.0063370030987 \tabularnewline
0.42 & 547.711454910958 & 5.63176976150652 \tabularnewline
0.43 & 548.932513226694 & 6.30899497420718 \tabularnewline
0.44 & 550.274202461300 & 6.95563025024757 \tabularnewline
0.45 & 551.724229653383 & 7.48640374010381 \tabularnewline
0.46 & 553.255262112436 & 7.82819984103013 \tabularnewline
0.47 & 554.828307517523 & 7.93493047794197 \tabularnewline
0.48 & 556.398515783374 & 7.7943995909681 \tabularnewline
0.49 & 557.922188977336 & 7.43105750932735 \tabularnewline
0.5 & 559.363500787337 & 6.9014324313376 \tabularnewline
0.51 & 560.69950515428 & 6.28288444922209 \tabularnewline
0.52 & 561.922431655547 & 5.66218871104315 \tabularnewline
0.53 & 563.038909118651 & 5.11577165503598 \tabularnewline
0.54 & 564.066459882833 & 4.69916792109011 \tabularnewline
0.55 & 565.02819161852 & 4.43199304540418 \tabularnewline
0.56 & 565.946950050395 & 4.29610779496709 \tabularnewline
0.57 & 566.840223533173 & 4.24272720875052 \tabularnewline
0.58 & 567.716825904888 & 4.21016916301078 \tabularnewline
0.59 & 568.5759092311 & 4.14262119914725 \tabularnewline
0.6 & 569.408295582423 & 4.00051028664523 \tabularnewline
0.61 & 570.19960056968 & 3.76708409001663 \tabularnewline
0.62 & 570.934265885084 & 3.44737448133991 \tabularnewline
0.63 & 571.599494329826 & 3.06520729858836 \tabularnewline
0.64 & 572.188200163526 & 2.65674848493062 \tabularnewline
0.65 & 572.700401884994 & 2.26102176808616 \tabularnewline
0.66 & 573.142901903817 & 1.91338054638611 \tabularnewline
0.67 & 573.527510186281 & 1.63809643325699 \tabularnewline
0.68 & 573.868383040384 & 1.44527273588684 \tabularnewline
0.69 & 574.179205995887 & 1.32633420329831 \tabularnewline
0.7 & 574.470937765748 & 1.25973378093157 \tabularnewline
0.71 & 574.750675872091 & 1.21827916582434 \tabularnewline
0.72 & 575.021953235727 & 1.18060937311057 \tabularnewline
0.73 & 575.286484340498 & 1.13605706645360 \tabularnewline
0.74 & 575.547093144956 & 1.09265609050745 \tabularnewline
0.75 & 575.811292268708 & 1.07491719453976 \tabularnewline
0.76 & 576.094740947264 & 1.13079022771644 \tabularnewline
0.77 & 576.423586227621 & 1.31674957972872 \tabularnewline
0.78 & 576.834534506399 & 1.67825403493310 \tabularnewline
0.79 & 577.371547593594 & 2.22659803898582 \tabularnewline
0.8 & 578.07852898896 & 2.93647137098623 \tabularnewline
0.81 & 578.988445690236 & 3.73889792957808 \tabularnewline
0.82 & 580.110949828829 & 4.52192148838989 \tabularnewline
0.83 & 581.422205554318 & 5.14666464651497 \tabularnewline
0.84 & 582.861357043372 & 5.47694689227551 \tabularnewline
0.85 & 584.336962384694 & 5.42178743258992 \tabularnewline
0.86 & 585.743538583776 & 4.96794655211595 \tabularnewline
0.87 & 586.984140061472 & 4.19185830571321 \tabularnewline
0.88 & 587.991743687999 & 3.23856730669953 \tabularnewline
0.89 & 588.742298816503 & 2.27705621316304 \tabularnewline
0.9 & 589.256427048444 & 1.45027206527778 \tabularnewline
0.91 & 589.593541355863 & 0.847649235446768 \tabularnewline
0.92 & 589.84803545372 & 0.529666825016806 \tabularnewline
0.93 & 590.156400568829 & 0.637714338377627 \tabularnewline
0.94 & 590.708928146294 & 1.25084244188745 \tabularnewline
0.95 & 591.72770211101 & 2.31605712269111 \tabularnewline
0.96 & 593.351169970059 & 3.51781952370324 \tabularnewline
0.97 & 595.429777133963 & 4.06024388786482 \tabularnewline
0.98 & 597.425507960645 & 3.16732280646111 \tabularnewline
0.99 & 598.705554268537 & 1.25834332193087 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9149&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]513.131066440354[/C][C]0.005548830896395[/C][/ROW]
[ROW][C]0.02[/C][C]513.141319012457[/C][C]0.0502862799985797[/C][/ROW]
[ROW][C]0.03[/C][C]513.190957349424[/C][C]0.227848868683220[/C][/ROW]
[ROW][C]0.04[/C][C]513.351321148324[/C][C]0.689268837911566[/C][/ROW]
[ROW][C]0.05[/C][C]513.739087930574[/C][C]1.56199589733519[/C][/ROW]
[ROW][C]0.06[/C][C]514.486354466356[/C][C]2.82363741178145[/C][/ROW]
[ROW][C]0.07[/C][C]515.680457548148[/C][C]4.23608998998958[/C][/ROW]
[ROW][C]0.08[/C][C]517.306583677002[/C][C]5.42156723574181[/C][/ROW]
[ROW][C]0.09[/C][C]519.232140635318[/C][C]6.04031433266608[/C][/ROW]
[ROW][C]0.1[/C][C]521.246203949266[/C][C]5.9523438082771[/C][/ROW]
[ROW][C]0.11[/C][C]523.131987647140[/C][C]5.26019183009029[/C][/ROW]
[ROW][C]0.12[/C][C]524.733571523791[/C][C]4.23096805657514[/C][/ROW]
[ROW][C]0.13[/C][C]525.98855009832[/C][C]3.16643631805496[/C][/ROW]
[ROW][C]0.14[/C][C]526.922171252279[/C][C]2.30633491521789[/C][/ROW]
[ROW][C]0.15[/C][C]527.617099781742[/C][C]1.80079759014812[/C][/ROW]
[ROW][C]0.16[/C][C]528.177556617459[/C][C]1.70119471422192[/C][/ROW]
[ROW][C]0.17[/C][C]528.70064928174[/C][C]1.92884539310660[/C][/ROW]
[ROW][C]0.18[/C][C]529.259216389333[/C][C]2.33504455099359[/C][/ROW]
[ROW][C]0.19[/C][C]529.894940860959[/C][C]2.78888193470896[/C][/ROW]
[ROW][C]0.2[/C][C]530.618800453221[/C][C]3.18795373702846[/C][/ROW]
[ROW][C]0.21[/C][C]531.416396447404[/C][C]3.45879205456243[/C][/ROW]
[ROW][C]0.22[/C][C]532.256430383933[/C][C]3.56027310476409[/C][/ROW]
[ROW][C]0.23[/C][C]533.100763838758[/C][C]3.49024521624294[/C][/ROW]
[ROW][C]0.24[/C][C]533.914280843183[/C][C]3.28391293378984[/C][/ROW]
[ROW][C]0.25[/C][C]534.672709765375[/C][C]3.00330130209833[/C][/ROW]
[ROW][C]0.26[/C][C]535.366983560567[/C][C]2.72447545453582[/C][/ROW]
[ROW][C]0.27[/C][C]536.003576521166[/C][C]2.52102843168950[/C][/ROW]
[ROW][C]0.28[/C][C]536.601247835943[/C][C]2.4464477425443[/C][/ROW]
[ROW][C]0.29[/C][C]537.185413399982[/C][C]2.51807860514910[/C][/ROW]
[ROW][C]0.3[/C][C]537.781757217744[/C][C]2.71061122655115[/C][/ROW]
[ROW][C]0.31[/C][C]538.410655651962[/C][C]2.97247318932622[/C][/ROW]
[ROW][C]0.32[/C][C]539.083615786322[/C][C]3.24765543583094[/C][/ROW]
[ROW][C]0.33[/C][C]539.802361627615[/C][C]3.48692827859246[/C][/ROW]
[ROW][C]0.34[/C][C]540.560570878869[/C][C]3.66043133838818[/C][/ROW]
[ROW][C]0.35[/C][C]541.34768218733[/C][C]3.76192400155357[/C][/ROW]
[ROW][C]0.36[/C][C]542.153752630124[/C][C]3.81104134952458[/C][/ROW]
[ROW][C]0.37[/C][C]542.974124323525[/C][C]3.85176303076511[/C][/ROW]
[ROW][C]0.38[/C][C]543.812703420666[/C][C]3.94406620484548[/C][/ROW]
[ROW][C]0.39[/C][C]544.682963023067[/C][C]4.14672641278418[/C][/ROW]
[ROW][C]0.4[/C][C]545.606296531004[/C][C]4.49982847725311[/C][/ROW]
[ROW][C]0.41[/C][C]546.607963766466[/C][C]5.0063370030987[/C][/ROW]
[ROW][C]0.42[/C][C]547.711454910958[/C][C]5.63176976150652[/C][/ROW]
[ROW][C]0.43[/C][C]548.932513226694[/C][C]6.30899497420718[/C][/ROW]
[ROW][C]0.44[/C][C]550.274202461300[/C][C]6.95563025024757[/C][/ROW]
[ROW][C]0.45[/C][C]551.724229653383[/C][C]7.48640374010381[/C][/ROW]
[ROW][C]0.46[/C][C]553.255262112436[/C][C]7.82819984103013[/C][/ROW]
[ROW][C]0.47[/C][C]554.828307517523[/C][C]7.93493047794197[/C][/ROW]
[ROW][C]0.48[/C][C]556.398515783374[/C][C]7.7943995909681[/C][/ROW]
[ROW][C]0.49[/C][C]557.922188977336[/C][C]7.43105750932735[/C][/ROW]
[ROW][C]0.5[/C][C]559.363500787337[/C][C]6.9014324313376[/C][/ROW]
[ROW][C]0.51[/C][C]560.69950515428[/C][C]6.28288444922209[/C][/ROW]
[ROW][C]0.52[/C][C]561.922431655547[/C][C]5.66218871104315[/C][/ROW]
[ROW][C]0.53[/C][C]563.038909118651[/C][C]5.11577165503598[/C][/ROW]
[ROW][C]0.54[/C][C]564.066459882833[/C][C]4.69916792109011[/C][/ROW]
[ROW][C]0.55[/C][C]565.02819161852[/C][C]4.43199304540418[/C][/ROW]
[ROW][C]0.56[/C][C]565.946950050395[/C][C]4.29610779496709[/C][/ROW]
[ROW][C]0.57[/C][C]566.840223533173[/C][C]4.24272720875052[/C][/ROW]
[ROW][C]0.58[/C][C]567.716825904888[/C][C]4.21016916301078[/C][/ROW]
[ROW][C]0.59[/C][C]568.5759092311[/C][C]4.14262119914725[/C][/ROW]
[ROW][C]0.6[/C][C]569.408295582423[/C][C]4.00051028664523[/C][/ROW]
[ROW][C]0.61[/C][C]570.19960056968[/C][C]3.76708409001663[/C][/ROW]
[ROW][C]0.62[/C][C]570.934265885084[/C][C]3.44737448133991[/C][/ROW]
[ROW][C]0.63[/C][C]571.599494329826[/C][C]3.06520729858836[/C][/ROW]
[ROW][C]0.64[/C][C]572.188200163526[/C][C]2.65674848493062[/C][/ROW]
[ROW][C]0.65[/C][C]572.700401884994[/C][C]2.26102176808616[/C][/ROW]
[ROW][C]0.66[/C][C]573.142901903817[/C][C]1.91338054638611[/C][/ROW]
[ROW][C]0.67[/C][C]573.527510186281[/C][C]1.63809643325699[/C][/ROW]
[ROW][C]0.68[/C][C]573.868383040384[/C][C]1.44527273588684[/C][/ROW]
[ROW][C]0.69[/C][C]574.179205995887[/C][C]1.32633420329831[/C][/ROW]
[ROW][C]0.7[/C][C]574.470937765748[/C][C]1.25973378093157[/C][/ROW]
[ROW][C]0.71[/C][C]574.750675872091[/C][C]1.21827916582434[/C][/ROW]
[ROW][C]0.72[/C][C]575.021953235727[/C][C]1.18060937311057[/C][/ROW]
[ROW][C]0.73[/C][C]575.286484340498[/C][C]1.13605706645360[/C][/ROW]
[ROW][C]0.74[/C][C]575.547093144956[/C][C]1.09265609050745[/C][/ROW]
[ROW][C]0.75[/C][C]575.811292268708[/C][C]1.07491719453976[/C][/ROW]
[ROW][C]0.76[/C][C]576.094740947264[/C][C]1.13079022771644[/C][/ROW]
[ROW][C]0.77[/C][C]576.423586227621[/C][C]1.31674957972872[/C][/ROW]
[ROW][C]0.78[/C][C]576.834534506399[/C][C]1.67825403493310[/C][/ROW]
[ROW][C]0.79[/C][C]577.371547593594[/C][C]2.22659803898582[/C][/ROW]
[ROW][C]0.8[/C][C]578.07852898896[/C][C]2.93647137098623[/C][/ROW]
[ROW][C]0.81[/C][C]578.988445690236[/C][C]3.73889792957808[/C][/ROW]
[ROW][C]0.82[/C][C]580.110949828829[/C][C]4.52192148838989[/C][/ROW]
[ROW][C]0.83[/C][C]581.422205554318[/C][C]5.14666464651497[/C][/ROW]
[ROW][C]0.84[/C][C]582.861357043372[/C][C]5.47694689227551[/C][/ROW]
[ROW][C]0.85[/C][C]584.336962384694[/C][C]5.42178743258992[/C][/ROW]
[ROW][C]0.86[/C][C]585.743538583776[/C][C]4.96794655211595[/C][/ROW]
[ROW][C]0.87[/C][C]586.984140061472[/C][C]4.19185830571321[/C][/ROW]
[ROW][C]0.88[/C][C]587.991743687999[/C][C]3.23856730669953[/C][/ROW]
[ROW][C]0.89[/C][C]588.742298816503[/C][C]2.27705621316304[/C][/ROW]
[ROW][C]0.9[/C][C]589.256427048444[/C][C]1.45027206527778[/C][/ROW]
[ROW][C]0.91[/C][C]589.593541355863[/C][C]0.847649235446768[/C][/ROW]
[ROW][C]0.92[/C][C]589.84803545372[/C][C]0.529666825016806[/C][/ROW]
[ROW][C]0.93[/C][C]590.156400568829[/C][C]0.637714338377627[/C][/ROW]
[ROW][C]0.94[/C][C]590.708928146294[/C][C]1.25084244188745[/C][/ROW]
[ROW][C]0.95[/C][C]591.72770211101[/C][C]2.31605712269111[/C][/ROW]
[ROW][C]0.96[/C][C]593.351169970059[/C][C]3.51781952370324[/C][/ROW]
[ROW][C]0.97[/C][C]595.429777133963[/C][C]4.06024388786482[/C][/ROW]
[ROW][C]0.98[/C][C]597.425507960645[/C][C]3.16732280646111[/C][/ROW]
[ROW][C]0.99[/C][C]598.705554268537[/C][C]1.25834332193087[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9149&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9149&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
0.01513.1310664403540.005548830896395
0.02513.1413190124570.0502862799985797
0.03513.1909573494240.227848868683220
0.04513.3513211483240.689268837911566
0.05513.7390879305741.56199589733519
0.06514.4863544663562.82363741178145
0.07515.6804575481484.23608998998958
0.08517.3065836770025.42156723574181
0.09519.2321406353186.04031433266608
0.1521.2462039492665.9523438082771
0.11523.1319876471405.26019183009029
0.12524.7335715237914.23096805657514
0.13525.988550098323.16643631805496
0.14526.9221712522792.30633491521789
0.15527.6170997817421.80079759014812
0.16528.1775566174591.70119471422192
0.17528.700649281741.92884539310660
0.18529.2592163893332.33504455099359
0.19529.8949408609592.78888193470896
0.2530.6188004532213.18795373702846
0.21531.4163964474043.45879205456243
0.22532.2564303839333.56027310476409
0.23533.1007638387583.49024521624294
0.24533.9142808431833.28391293378984
0.25534.6727097653753.00330130209833
0.26535.3669835605672.72447545453582
0.27536.0035765211662.52102843168950
0.28536.6012478359432.4464477425443
0.29537.1854133999822.51807860514910
0.3537.7817572177442.71061122655115
0.31538.4106556519622.97247318932622
0.32539.0836157863223.24765543583094
0.33539.8023616276153.48692827859246
0.34540.5605708788693.66043133838818
0.35541.347682187333.76192400155357
0.36542.1537526301243.81104134952458
0.37542.9741243235253.85176303076511
0.38543.8127034206663.94406620484548
0.39544.6829630230674.14672641278418
0.4545.6062965310044.49982847725311
0.41546.6079637664665.0063370030987
0.42547.7114549109585.63176976150652
0.43548.9325132266946.30899497420718
0.44550.2742024613006.95563025024757
0.45551.7242296533837.48640374010381
0.46553.2552621124367.82819984103013
0.47554.8283075175237.93493047794197
0.48556.3985157833747.7943995909681
0.49557.9221889773367.43105750932735
0.5559.3635007873376.9014324313376
0.51560.699505154286.28288444922209
0.52561.9224316555475.66218871104315
0.53563.0389091186515.11577165503598
0.54564.0664598828334.69916792109011
0.55565.028191618524.43199304540418
0.56565.9469500503954.29610779496709
0.57566.8402235331734.24272720875052
0.58567.7168259048884.21016916301078
0.59568.57590923114.14262119914725
0.6569.4082955824234.00051028664523
0.61570.199600569683.76708409001663
0.62570.9342658850843.44737448133991
0.63571.5994943298263.06520729858836
0.64572.1882001635262.65674848493062
0.65572.7004018849942.26102176808616
0.66573.1429019038171.91338054638611
0.67573.5275101862811.63809643325699
0.68573.8683830403841.44527273588684
0.69574.1792059958871.32633420329831
0.7574.4709377657481.25973378093157
0.71574.7506758720911.21827916582434
0.72575.0219532357271.18060937311057
0.73575.2864843404981.13605706645360
0.74575.5470931449561.09265609050745
0.75575.8112922687081.07491719453976
0.76576.0947409472641.13079022771644
0.77576.4235862276211.31674957972872
0.78576.8345345063991.67825403493310
0.79577.3715475935942.22659803898582
0.8578.078528988962.93647137098623
0.81578.9884456902363.73889792957808
0.82580.1109498288294.52192148838989
0.83581.4222055543185.14666464651497
0.84582.8613570433725.47694689227551
0.85584.3369623846945.42178743258992
0.86585.7435385837764.96794655211595
0.87586.9841400614724.19185830571321
0.88587.9917436879993.23856730669953
0.89588.7422988165032.27705621316304
0.9589.2564270484441.45027206527778
0.91589.5935413558630.847649235446768
0.92589.848035453720.529666825016806
0.93590.1564005688290.637714338377627
0.94590.7089281462941.25084244188745
0.95591.727702111012.31605712269111
0.96593.3511699700593.51781952370324
0.97595.4297771339634.06024388786482
0.98597.4255079606453.16732280646111
0.99598.7055542685371.25834332193087


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')