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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, 22 Feb 2012 12:27:12 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329931694mrvb5m9uffpgun6.htm/, Retrieved Mon, 06 May 2024 20:43:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163124, Retrieved Mon, 06 May 2024 20:43:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

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 kort...] [2012-02-22 17:27:12] [eb9a8d5679cfb7a6b0486323b35a9939] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4,69
4,69
4,69
4,69
4,69
4,69
4,69
4,73
4,78
4,79
4,79
4,8
4,8
4,81
5,16
5,26
5,29
5,29
5,29
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,35
5,44
5,47
5,47
5,48
5,48
5,48
5,48
5,48
5,48
5,48
5,5
5,55
5,57
5,58
5,58
5,58
5,59
5,59
5,59
5,55
5,61
5,61
5,61
5,63
5,69
5,7
5,7
5,7
5,7
5,7
5,7
5,7

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163124&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163124&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163124&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.690009536146964.70813540423319e-05
0.024.690059877780110.000264915329763766
0.034.690227651018430.000889282722416881
0.044.690657245327660.002259163597262
0.054.691571832139040.00473444339506427
0.064.693261790423360.00857134445656589
0.074.696047600999980.0138229768851137
0.084.70022614013910.0202572471965357
0.094.706018965852370.027446335017948
0.14.713543257585180.03491025131047
0.114.722818895779830.0423118860469459
0.124.733811643408390.049669062314353
0.134.746498267568280.0574157256968465
0.144.76093043610140.0663512144021929
0.154.777273585161710.0773495164131339
0.164.795804481100230.0909888045471232
0.174.816863847359040.107291026844893
0.184.840773817843070.125617119494916
0.194.86774004661620.144753005004502
0.24.897762472306350.163116211256259
0.214.930576400910420.179000540386079
0.224.965637949035810.190836636048677
0.235.002157419995180.197433012474204
0.245.039173727462910.198144868349575
0.255.075655033917480.192932474660194
0.265.110606890611850.182361316440443
0.275.143169706922070.167457133508155
0.285.172691578082250.149553608662219
0.295.198768849050260.130091017142459
0.35.221253530595410.110454776984296
0.315.240232291919540.0918345699259629
0.325.255985281576440.0751581067836382
0.335.26893420848170.0610745195405943
0.345.279588276721760.0499898279521391
0.355.288494415737010.0421364585455461
0.365.296195597465640.0375648358340685
0.375.303198588932460.0360983800494691
0.385.309950709173040.0372739955085651
0.395.316824212853610.0404317773174873
0.45.324106732488590.0448991949367525
0.415.331996540365330.0500613011461709
0.425.340601944072780.0553799727250197
0.435.34994463634650.060367470909674
0.445.359967095522770.0646079073090752
0.455.370544101108540.0677513459896948
0.465.381498117945960.0695474744620588
0.475.392617817758350.0698700248159107
0.485.403678492694510.0687062152818564
0.495.414462713829540.0661624841523706
0.55.424779404324560.0624617057268776
0.515.434479581189970.0579118566532757
0.525.443467358945350.0528667812126533
0.535.451705339288590.047716584436201
0.545.459214138931780.0428291602770759
0.555.466066432632140.0385515060408321
0.565.472376425060720.0351613094054126
0.575.478286057228180.0328420819544598
0.585.483949476693010.0316706168256506
0.595.489517358653360.0315635600596131
0.65.495122576939440.0323104116557614
0.615.500868515764820.0336265463867605
0.625.506821010067430.0352050247420382
0.635.513004527383090.0367469256515132
0.645.519402781364180.038001240660261
0.655.525963526093020.0387681756391017
0.665.532606860307240.038916101011132
0.675.539236018871010.0383868273174591
0.685.54574939453510.0371956470428564
0.695.552052456960210.0354241120123132
0.75.558068338644790.0332077968684429
0.715.563746129592720.0307219827563776
0.725.569066320947970.028161345188901
0.735.574043287404340.0257285399435095
0.745.578725102087050.0236157034639342
0.755.583191234091630.021986707319972
0.765.587548705242320.02098622156692
0.775.591927044397150.0207171904878672
0.785.596471918871070.0212355421254958
0.795.601336787961150.0225491836448698
0.85.606671556204180.0245975137446119
0.815.612607300224810.0272510535399352
0.825.619236952971740.030282850047859
0.835.626593413342390.0333706393609065
0.845.634628636829850.0361028086382539
0.855.643199190833790.038020429108629
0.865.652064578861230.0386901898500124
0.875.660903438028460.0377984467048487
0.885.669349088966240.0352282352108804
0.895.677040407780740.0311309695783481
0.95.683678216659180.0259126614097408
0.915.68907365781130.0201673239609637
0.925.693175392549940.0145486151870017
0.935.696067669639990.00962501138213285
0.945.697939980666030.00575826321684755
0.955.699037972407320.00305547627779562
0.965.699610793073860.00139874269245329
0.975.699869706105560.000528032635523963
0.985.699966900014240.000151566141145372
0.995.699994910321172.52280506468777e-05

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.69000953614696 & 4.70813540423319e-05 \tabularnewline
0.02 & 4.69005987778011 & 0.000264915329763766 \tabularnewline
0.03 & 4.69022765101843 & 0.000889282722416881 \tabularnewline
0.04 & 4.69065724532766 & 0.002259163597262 \tabularnewline
0.05 & 4.69157183213904 & 0.00473444339506427 \tabularnewline
0.06 & 4.69326179042336 & 0.00857134445656589 \tabularnewline
0.07 & 4.69604760099998 & 0.0138229768851137 \tabularnewline
0.08 & 4.7002261401391 & 0.0202572471965357 \tabularnewline
0.09 & 4.70601896585237 & 0.027446335017948 \tabularnewline
0.1 & 4.71354325758518 & 0.03491025131047 \tabularnewline
0.11 & 4.72281889577983 & 0.0423118860469459 \tabularnewline
0.12 & 4.73381164340839 & 0.049669062314353 \tabularnewline
0.13 & 4.74649826756828 & 0.0574157256968465 \tabularnewline
0.14 & 4.7609304361014 & 0.0663512144021929 \tabularnewline
0.15 & 4.77727358516171 & 0.0773495164131339 \tabularnewline
0.16 & 4.79580448110023 & 0.0909888045471232 \tabularnewline
0.17 & 4.81686384735904 & 0.107291026844893 \tabularnewline
0.18 & 4.84077381784307 & 0.125617119494916 \tabularnewline
0.19 & 4.8677400466162 & 0.144753005004502 \tabularnewline
0.2 & 4.89776247230635 & 0.163116211256259 \tabularnewline
0.21 & 4.93057640091042 & 0.179000540386079 \tabularnewline
0.22 & 4.96563794903581 & 0.190836636048677 \tabularnewline
0.23 & 5.00215741999518 & 0.197433012474204 \tabularnewline
0.24 & 5.03917372746291 & 0.198144868349575 \tabularnewline
0.25 & 5.07565503391748 & 0.192932474660194 \tabularnewline
0.26 & 5.11060689061185 & 0.182361316440443 \tabularnewline
0.27 & 5.14316970692207 & 0.167457133508155 \tabularnewline
0.28 & 5.17269157808225 & 0.149553608662219 \tabularnewline
0.29 & 5.19876884905026 & 0.130091017142459 \tabularnewline
0.3 & 5.22125353059541 & 0.110454776984296 \tabularnewline
0.31 & 5.24023229191954 & 0.0918345699259629 \tabularnewline
0.32 & 5.25598528157644 & 0.0751581067836382 \tabularnewline
0.33 & 5.2689342084817 & 0.0610745195405943 \tabularnewline
0.34 & 5.27958827672176 & 0.0499898279521391 \tabularnewline
0.35 & 5.28849441573701 & 0.0421364585455461 \tabularnewline
0.36 & 5.29619559746564 & 0.0375648358340685 \tabularnewline
0.37 & 5.30319858893246 & 0.0360983800494691 \tabularnewline
0.38 & 5.30995070917304 & 0.0372739955085651 \tabularnewline
0.39 & 5.31682421285361 & 0.0404317773174873 \tabularnewline
0.4 & 5.32410673248859 & 0.0448991949367525 \tabularnewline
0.41 & 5.33199654036533 & 0.0500613011461709 \tabularnewline
0.42 & 5.34060194407278 & 0.0553799727250197 \tabularnewline
0.43 & 5.3499446363465 & 0.060367470909674 \tabularnewline
0.44 & 5.35996709552277 & 0.0646079073090752 \tabularnewline
0.45 & 5.37054410110854 & 0.0677513459896948 \tabularnewline
0.46 & 5.38149811794596 & 0.0695474744620588 \tabularnewline
0.47 & 5.39261781775835 & 0.0698700248159107 \tabularnewline
0.48 & 5.40367849269451 & 0.0687062152818564 \tabularnewline
0.49 & 5.41446271382954 & 0.0661624841523706 \tabularnewline
0.5 & 5.42477940432456 & 0.0624617057268776 \tabularnewline
0.51 & 5.43447958118997 & 0.0579118566532757 \tabularnewline
0.52 & 5.44346735894535 & 0.0528667812126533 \tabularnewline
0.53 & 5.45170533928859 & 0.047716584436201 \tabularnewline
0.54 & 5.45921413893178 & 0.0428291602770759 \tabularnewline
0.55 & 5.46606643263214 & 0.0385515060408321 \tabularnewline
0.56 & 5.47237642506072 & 0.0351613094054126 \tabularnewline
0.57 & 5.47828605722818 & 0.0328420819544598 \tabularnewline
0.58 & 5.48394947669301 & 0.0316706168256506 \tabularnewline
0.59 & 5.48951735865336 & 0.0315635600596131 \tabularnewline
0.6 & 5.49512257693944 & 0.0323104116557614 \tabularnewline
0.61 & 5.50086851576482 & 0.0336265463867605 \tabularnewline
0.62 & 5.50682101006743 & 0.0352050247420382 \tabularnewline
0.63 & 5.51300452738309 & 0.0367469256515132 \tabularnewline
0.64 & 5.51940278136418 & 0.038001240660261 \tabularnewline
0.65 & 5.52596352609302 & 0.0387681756391017 \tabularnewline
0.66 & 5.53260686030724 & 0.038916101011132 \tabularnewline
0.67 & 5.53923601887101 & 0.0383868273174591 \tabularnewline
0.68 & 5.5457493945351 & 0.0371956470428564 \tabularnewline
0.69 & 5.55205245696021 & 0.0354241120123132 \tabularnewline
0.7 & 5.55806833864479 & 0.0332077968684429 \tabularnewline
0.71 & 5.56374612959272 & 0.0307219827563776 \tabularnewline
0.72 & 5.56906632094797 & 0.028161345188901 \tabularnewline
0.73 & 5.57404328740434 & 0.0257285399435095 \tabularnewline
0.74 & 5.57872510208705 & 0.0236157034639342 \tabularnewline
0.75 & 5.58319123409163 & 0.021986707319972 \tabularnewline
0.76 & 5.58754870524232 & 0.02098622156692 \tabularnewline
0.77 & 5.59192704439715 & 0.0207171904878672 \tabularnewline
0.78 & 5.59647191887107 & 0.0212355421254958 \tabularnewline
0.79 & 5.60133678796115 & 0.0225491836448698 \tabularnewline
0.8 & 5.60667155620418 & 0.0245975137446119 \tabularnewline
0.81 & 5.61260730022481 & 0.0272510535399352 \tabularnewline
0.82 & 5.61923695297174 & 0.030282850047859 \tabularnewline
0.83 & 5.62659341334239 & 0.0333706393609065 \tabularnewline
0.84 & 5.63462863682985 & 0.0361028086382539 \tabularnewline
0.85 & 5.64319919083379 & 0.038020429108629 \tabularnewline
0.86 & 5.65206457886123 & 0.0386901898500124 \tabularnewline
0.87 & 5.66090343802846 & 0.0377984467048487 \tabularnewline
0.88 & 5.66934908896624 & 0.0352282352108804 \tabularnewline
0.89 & 5.67704040778074 & 0.0311309695783481 \tabularnewline
0.9 & 5.68367821665918 & 0.0259126614097408 \tabularnewline
0.91 & 5.6890736578113 & 0.0201673239609637 \tabularnewline
0.92 & 5.69317539254994 & 0.0145486151870017 \tabularnewline
0.93 & 5.69606766963999 & 0.00962501138213285 \tabularnewline
0.94 & 5.69793998066603 & 0.00575826321684755 \tabularnewline
0.95 & 5.69903797240732 & 0.00305547627779562 \tabularnewline
0.96 & 5.69961079307386 & 0.00139874269245329 \tabularnewline
0.97 & 5.69986970610556 & 0.000528032635523963 \tabularnewline
0.98 & 5.69996690001424 & 0.000151566141145372 \tabularnewline
0.99 & 5.69999491032117 & 2.52280506468777e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163124&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]4.69000953614696[/C][C]4.70813540423319e-05[/C][/ROW]
[ROW][C]0.02[/C][C]4.69005987778011[/C][C]0.000264915329763766[/C][/ROW]
[ROW][C]0.03[/C][C]4.69022765101843[/C][C]0.000889282722416881[/C][/ROW]
[ROW][C]0.04[/C][C]4.69065724532766[/C][C]0.002259163597262[/C][/ROW]
[ROW][C]0.05[/C][C]4.69157183213904[/C][C]0.00473444339506427[/C][/ROW]
[ROW][C]0.06[/C][C]4.69326179042336[/C][C]0.00857134445656589[/C][/ROW]
[ROW][C]0.07[/C][C]4.69604760099998[/C][C]0.0138229768851137[/C][/ROW]
[ROW][C]0.08[/C][C]4.7002261401391[/C][C]0.0202572471965357[/C][/ROW]
[ROW][C]0.09[/C][C]4.70601896585237[/C][C]0.027446335017948[/C][/ROW]
[ROW][C]0.1[/C][C]4.71354325758518[/C][C]0.03491025131047[/C][/ROW]
[ROW][C]0.11[/C][C]4.72281889577983[/C][C]0.0423118860469459[/C][/ROW]
[ROW][C]0.12[/C][C]4.73381164340839[/C][C]0.049669062314353[/C][/ROW]
[ROW][C]0.13[/C][C]4.74649826756828[/C][C]0.0574157256968465[/C][/ROW]
[ROW][C]0.14[/C][C]4.7609304361014[/C][C]0.0663512144021929[/C][/ROW]
[ROW][C]0.15[/C][C]4.77727358516171[/C][C]0.0773495164131339[/C][/ROW]
[ROW][C]0.16[/C][C]4.79580448110023[/C][C]0.0909888045471232[/C][/ROW]
[ROW][C]0.17[/C][C]4.81686384735904[/C][C]0.107291026844893[/C][/ROW]
[ROW][C]0.18[/C][C]4.84077381784307[/C][C]0.125617119494916[/C][/ROW]
[ROW][C]0.19[/C][C]4.8677400466162[/C][C]0.144753005004502[/C][/ROW]
[ROW][C]0.2[/C][C]4.89776247230635[/C][C]0.163116211256259[/C][/ROW]
[ROW][C]0.21[/C][C]4.93057640091042[/C][C]0.179000540386079[/C][/ROW]
[ROW][C]0.22[/C][C]4.96563794903581[/C][C]0.190836636048677[/C][/ROW]
[ROW][C]0.23[/C][C]5.00215741999518[/C][C]0.197433012474204[/C][/ROW]
[ROW][C]0.24[/C][C]5.03917372746291[/C][C]0.198144868349575[/C][/ROW]
[ROW][C]0.25[/C][C]5.07565503391748[/C][C]0.192932474660194[/C][/ROW]
[ROW][C]0.26[/C][C]5.11060689061185[/C][C]0.182361316440443[/C][/ROW]
[ROW][C]0.27[/C][C]5.14316970692207[/C][C]0.167457133508155[/C][/ROW]
[ROW][C]0.28[/C][C]5.17269157808225[/C][C]0.149553608662219[/C][/ROW]
[ROW][C]0.29[/C][C]5.19876884905026[/C][C]0.130091017142459[/C][/ROW]
[ROW][C]0.3[/C][C]5.22125353059541[/C][C]0.110454776984296[/C][/ROW]
[ROW][C]0.31[/C][C]5.24023229191954[/C][C]0.0918345699259629[/C][/ROW]
[ROW][C]0.32[/C][C]5.25598528157644[/C][C]0.0751581067836382[/C][/ROW]
[ROW][C]0.33[/C][C]5.2689342084817[/C][C]0.0610745195405943[/C][/ROW]
[ROW][C]0.34[/C][C]5.27958827672176[/C][C]0.0499898279521391[/C][/ROW]
[ROW][C]0.35[/C][C]5.28849441573701[/C][C]0.0421364585455461[/C][/ROW]
[ROW][C]0.36[/C][C]5.29619559746564[/C][C]0.0375648358340685[/C][/ROW]
[ROW][C]0.37[/C][C]5.30319858893246[/C][C]0.0360983800494691[/C][/ROW]
[ROW][C]0.38[/C][C]5.30995070917304[/C][C]0.0372739955085651[/C][/ROW]
[ROW][C]0.39[/C][C]5.31682421285361[/C][C]0.0404317773174873[/C][/ROW]
[ROW][C]0.4[/C][C]5.32410673248859[/C][C]0.0448991949367525[/C][/ROW]
[ROW][C]0.41[/C][C]5.33199654036533[/C][C]0.0500613011461709[/C][/ROW]
[ROW][C]0.42[/C][C]5.34060194407278[/C][C]0.0553799727250197[/C][/ROW]
[ROW][C]0.43[/C][C]5.3499446363465[/C][C]0.060367470909674[/C][/ROW]
[ROW][C]0.44[/C][C]5.35996709552277[/C][C]0.0646079073090752[/C][/ROW]
[ROW][C]0.45[/C][C]5.37054410110854[/C][C]0.0677513459896948[/C][/ROW]
[ROW][C]0.46[/C][C]5.38149811794596[/C][C]0.0695474744620588[/C][/ROW]
[ROW][C]0.47[/C][C]5.39261781775835[/C][C]0.0698700248159107[/C][/ROW]
[ROW][C]0.48[/C][C]5.40367849269451[/C][C]0.0687062152818564[/C][/ROW]
[ROW][C]0.49[/C][C]5.41446271382954[/C][C]0.0661624841523706[/C][/ROW]
[ROW][C]0.5[/C][C]5.42477940432456[/C][C]0.0624617057268776[/C][/ROW]
[ROW][C]0.51[/C][C]5.43447958118997[/C][C]0.0579118566532757[/C][/ROW]
[ROW][C]0.52[/C][C]5.44346735894535[/C][C]0.0528667812126533[/C][/ROW]
[ROW][C]0.53[/C][C]5.45170533928859[/C][C]0.047716584436201[/C][/ROW]
[ROW][C]0.54[/C][C]5.45921413893178[/C][C]0.0428291602770759[/C][/ROW]
[ROW][C]0.55[/C][C]5.46606643263214[/C][C]0.0385515060408321[/C][/ROW]
[ROW][C]0.56[/C][C]5.47237642506072[/C][C]0.0351613094054126[/C][/ROW]
[ROW][C]0.57[/C][C]5.47828605722818[/C][C]0.0328420819544598[/C][/ROW]
[ROW][C]0.58[/C][C]5.48394947669301[/C][C]0.0316706168256506[/C][/ROW]
[ROW][C]0.59[/C][C]5.48951735865336[/C][C]0.0315635600596131[/C][/ROW]
[ROW][C]0.6[/C][C]5.49512257693944[/C][C]0.0323104116557614[/C][/ROW]
[ROW][C]0.61[/C][C]5.50086851576482[/C][C]0.0336265463867605[/C][/ROW]
[ROW][C]0.62[/C][C]5.50682101006743[/C][C]0.0352050247420382[/C][/ROW]
[ROW][C]0.63[/C][C]5.51300452738309[/C][C]0.0367469256515132[/C][/ROW]
[ROW][C]0.64[/C][C]5.51940278136418[/C][C]0.038001240660261[/C][/ROW]
[ROW][C]0.65[/C][C]5.52596352609302[/C][C]0.0387681756391017[/C][/ROW]
[ROW][C]0.66[/C][C]5.53260686030724[/C][C]0.038916101011132[/C][/ROW]
[ROW][C]0.67[/C][C]5.53923601887101[/C][C]0.0383868273174591[/C][/ROW]
[ROW][C]0.68[/C][C]5.5457493945351[/C][C]0.0371956470428564[/C][/ROW]
[ROW][C]0.69[/C][C]5.55205245696021[/C][C]0.0354241120123132[/C][/ROW]
[ROW][C]0.7[/C][C]5.55806833864479[/C][C]0.0332077968684429[/C][/ROW]
[ROW][C]0.71[/C][C]5.56374612959272[/C][C]0.0307219827563776[/C][/ROW]
[ROW][C]0.72[/C][C]5.56906632094797[/C][C]0.028161345188901[/C][/ROW]
[ROW][C]0.73[/C][C]5.57404328740434[/C][C]0.0257285399435095[/C][/ROW]
[ROW][C]0.74[/C][C]5.57872510208705[/C][C]0.0236157034639342[/C][/ROW]
[ROW][C]0.75[/C][C]5.58319123409163[/C][C]0.021986707319972[/C][/ROW]
[ROW][C]0.76[/C][C]5.58754870524232[/C][C]0.02098622156692[/C][/ROW]
[ROW][C]0.77[/C][C]5.59192704439715[/C][C]0.0207171904878672[/C][/ROW]
[ROW][C]0.78[/C][C]5.59647191887107[/C][C]0.0212355421254958[/C][/ROW]
[ROW][C]0.79[/C][C]5.60133678796115[/C][C]0.0225491836448698[/C][/ROW]
[ROW][C]0.8[/C][C]5.60667155620418[/C][C]0.0245975137446119[/C][/ROW]
[ROW][C]0.81[/C][C]5.61260730022481[/C][C]0.0272510535399352[/C][/ROW]
[ROW][C]0.82[/C][C]5.61923695297174[/C][C]0.030282850047859[/C][/ROW]
[ROW][C]0.83[/C][C]5.62659341334239[/C][C]0.0333706393609065[/C][/ROW]
[ROW][C]0.84[/C][C]5.63462863682985[/C][C]0.0361028086382539[/C][/ROW]
[ROW][C]0.85[/C][C]5.64319919083379[/C][C]0.038020429108629[/C][/ROW]
[ROW][C]0.86[/C][C]5.65206457886123[/C][C]0.0386901898500124[/C][/ROW]
[ROW][C]0.87[/C][C]5.66090343802846[/C][C]0.0377984467048487[/C][/ROW]
[ROW][C]0.88[/C][C]5.66934908896624[/C][C]0.0352282352108804[/C][/ROW]
[ROW][C]0.89[/C][C]5.67704040778074[/C][C]0.0311309695783481[/C][/ROW]
[ROW][C]0.9[/C][C]5.68367821665918[/C][C]0.0259126614097408[/C][/ROW]
[ROW][C]0.91[/C][C]5.6890736578113[/C][C]0.0201673239609637[/C][/ROW]
[ROW][C]0.92[/C][C]5.69317539254994[/C][C]0.0145486151870017[/C][/ROW]
[ROW][C]0.93[/C][C]5.69606766963999[/C][C]0.00962501138213285[/C][/ROW]
[ROW][C]0.94[/C][C]5.69793998066603[/C][C]0.00575826321684755[/C][/ROW]
[ROW][C]0.95[/C][C]5.69903797240732[/C][C]0.00305547627779562[/C][/ROW]
[ROW][C]0.96[/C][C]5.69961079307386[/C][C]0.00139874269245329[/C][/ROW]
[ROW][C]0.97[/C][C]5.69986970610556[/C][C]0.000528032635523963[/C][/ROW]
[ROW][C]0.98[/C][C]5.69996690001424[/C][C]0.000151566141145372[/C][/ROW]
[ROW][C]0.99[/C][C]5.69999491032117[/C][C]2.52280506468777e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163124&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163124&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
0.014.690009536146964.70813540423319e-05
0.024.690059877780110.000264915329763766
0.034.690227651018430.000889282722416881
0.044.690657245327660.002259163597262
0.054.691571832139040.00473444339506427
0.064.693261790423360.00857134445656589
0.074.696047600999980.0138229768851137
0.084.70022614013910.0202572471965357
0.094.706018965852370.027446335017948
0.14.713543257585180.03491025131047
0.114.722818895779830.0423118860469459
0.124.733811643408390.049669062314353
0.134.746498267568280.0574157256968465
0.144.76093043610140.0663512144021929
0.154.777273585161710.0773495164131339
0.164.795804481100230.0909888045471232
0.174.816863847359040.107291026844893
0.184.840773817843070.125617119494916
0.194.86774004661620.144753005004502
0.24.897762472306350.163116211256259
0.214.930576400910420.179000540386079
0.224.965637949035810.190836636048677
0.235.002157419995180.197433012474204
0.245.039173727462910.198144868349575
0.255.075655033917480.192932474660194
0.265.110606890611850.182361316440443
0.275.143169706922070.167457133508155
0.285.172691578082250.149553608662219
0.295.198768849050260.130091017142459
0.35.221253530595410.110454776984296
0.315.240232291919540.0918345699259629
0.325.255985281576440.0751581067836382
0.335.26893420848170.0610745195405943
0.345.279588276721760.0499898279521391
0.355.288494415737010.0421364585455461
0.365.296195597465640.0375648358340685
0.375.303198588932460.0360983800494691
0.385.309950709173040.0372739955085651
0.395.316824212853610.0404317773174873
0.45.324106732488590.0448991949367525
0.415.331996540365330.0500613011461709
0.425.340601944072780.0553799727250197
0.435.34994463634650.060367470909674
0.445.359967095522770.0646079073090752
0.455.370544101108540.0677513459896948
0.465.381498117945960.0695474744620588
0.475.392617817758350.0698700248159107
0.485.403678492694510.0687062152818564
0.495.414462713829540.0661624841523706
0.55.424779404324560.0624617057268776
0.515.434479581189970.0579118566532757
0.525.443467358945350.0528667812126533
0.535.451705339288590.047716584436201
0.545.459214138931780.0428291602770759
0.555.466066432632140.0385515060408321
0.565.472376425060720.0351613094054126
0.575.478286057228180.0328420819544598
0.585.483949476693010.0316706168256506
0.595.489517358653360.0315635600596131
0.65.495122576939440.0323104116557614
0.615.500868515764820.0336265463867605
0.625.506821010067430.0352050247420382
0.635.513004527383090.0367469256515132
0.645.519402781364180.038001240660261
0.655.525963526093020.0387681756391017
0.665.532606860307240.038916101011132
0.675.539236018871010.0383868273174591
0.685.54574939453510.0371956470428564
0.695.552052456960210.0354241120123132
0.75.558068338644790.0332077968684429
0.715.563746129592720.0307219827563776
0.725.569066320947970.028161345188901
0.735.574043287404340.0257285399435095
0.745.578725102087050.0236157034639342
0.755.583191234091630.021986707319972
0.765.587548705242320.02098622156692
0.775.591927044397150.0207171904878672
0.785.596471918871070.0212355421254958
0.795.601336787961150.0225491836448698
0.85.606671556204180.0245975137446119
0.815.612607300224810.0272510535399352
0.825.619236952971740.030282850047859
0.835.626593413342390.0333706393609065
0.845.634628636829850.0361028086382539
0.855.643199190833790.038020429108629
0.865.652064578861230.0386901898500124
0.875.660903438028460.0377984467048487
0.885.669349088966240.0352282352108804
0.895.677040407780740.0311309695783481
0.95.683678216659180.0259126614097408
0.915.68907365781130.0201673239609637
0.925.693175392549940.0145486151870017
0.935.696067669639990.00962501138213285
0.945.697939980666030.00575826321684755
0.955.699037972407320.00305547627779562
0.965.699610793073860.00139874269245329
0.975.699869706105560.000528032635523963
0.985.699966900014240.000151566141145372
0.995.699994910321172.52280506468777e-05


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')