Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 12:27:06 -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/2010/Mar/10/t1268249353ay1n1sh1633z3ox.htm/, Retrieved Sun, 25 Sep 2022 11:56:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74307, Retrieved Sun, 25 Sep 2022 11:56:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen wiss...] [2010-03-10 19:27:06] [518b58fa2b091d980a743b3df0de830f] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.4272
1.4614
1.4914
1.4816
1.4562
1.4268
1.4088
1.4016
1.365
1.319
1.305
1.2785
1.3239
1.3449
1.2732
1.3322
1.4369
1.4975
1.577
1.5553
1.5557
1.575
1.5527
1.4748
1.4718
1.457
1.4684
1.4227
1.3896
1.3622
1.3716
1.3419
1.3511
1.3516
1.3242
1.3074
1.2999
1.3213
1.2881
1.2611
1.2727
1.2811
1.2684
1.265
1.277
1.2271
1.202
1.1938
1.2103
1.1856
1.1786
1.2015
1.2256
1.2292
1.2037
1.2165
1.2694
1.2938
1.3201
1.3014
1.3119
1.3408
1.2991
1.249
1.2218
1.2176
1.2266
1.2138
1.2007
1.1985
1.2262
1.2646




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74307&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74307&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74307&T=0

As an alternative you can also use a 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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.181129739988610.00703187778393969
0.021.185089619725750.00724241500685438
0.031.189262238871150.00701237859826977
0.041.1929547200380.00626766397439855
0.051.195980398422020.00539253116637327
0.061.198422664809330.00478982471712775
0.071.200467464694630.00467067566033789
0.081.202310483567930.00501597913629453
0.091.204108162798840.00564299307688567
0.11.205957935569560.00634929933907004
0.111.207899733377140.00698664286354859
0.121.209930779457260.00747356266123562
0.131.212025727213640.00780727099761444
0.141.214155748734080.00803510148434569
0.151.216302622732050.00824510912740267
0.161.218466321560370.00853361831477634
0.171.220666392586030.00899312763385946
0.181.222938365052850.00968818298259035
0.191.225326705719420.0106400153719764
0.21.227875871508980.0118171621616752
0.211.230621023489820.0131314742563407
0.221.233579995320240.0144683496554824
0.231.236748003690920.0156858106346972
0.241.240096194354540.0166621781251044
0.251.243574410527430.0172968293151628
0.261.247117693321830.0175398068654925
0.271.250655223439500.0173897456254065
0.281.254119928410820.0168943856109246
0.291.257456941325570.0161479332173107
0.31.260629486135360.0152669725550083
0.311.263621434658680.0143652563003993
0.321.266436524252950.0135530580022025
0.331.269094850920050.0129077457310847
0.341.271627638470060.0124756795926415
0.351.274071397011240.0122627368276692
0.361.276462464672930.0122455854663581
0.371.278832658090090.0123744208739638
0.381.281206430113450.0125987679720108
0.391.283599620904850.0128565442755618
0.41.286019637633160.0131071186721025
0.411.288466729694730.0133134511733670
0.421.290935943810630.0134593841194911
0.431.293419338468920.0135378322041317
0.441.295908095254510.0135538675727924
0.451.298394266059670.0135243599218848
0.461.300872016754950.0134660752247716
0.471.303338345135130.0133963688571007
0.481.305793342299220.0133352847378917
0.491.308240118407730.0132953563339089
0.51.310684523753670.0132931086592260
0.511.313134773811690.0133361761107342
0.521.315601050001920.0134338586878025
0.531.318095115354190.0135962796123425
0.541.320629969250280.0138272477530540
0.551.323219570162810.0141310694299424
0.561.325878670290590.0145059982114863
0.571.328622814037150.0149581417637475
0.581.331468536076120.0154841158355199
0.591.334433745035570.0160899441017278
0.61.337538200202370.0167856152110236
0.611.340803900583710.0175854572165295
0.621.344255138177070.0185042270939629
0.631.347917952246220.019552191635985
0.641.351818781950720.020732948822504
0.651.355982255966100.0220323155155885
0.661.360428261373450.0234142365828074
0.671.365168658424200.0248249981392894
0.681.370204194606350.0261938675160422
0.691.375522258905590.0274365128324461
0.71.381096057035740.0284728785803302
0.711.386885564343780.0292320551526363
0.721.392840254682150.0296675347057513
0.731.398903189990940.0297614643182739
0.741.405015703093810.0295239964992866
0.751.411121738963050.0289948276432261
0.761.417171025962790.0282265590875658
0.771.423120640284670.0272762182290935
0.781.428935117505780.0261875672512661
0.791.434585883986930.0249928460346789
0.81.440051225382700.0237114655178811
0.811.445318121497380.0223658186709345
0.821.450387002214760.0209942409096664
0.831.455279871078310.0196706985429089
0.841.460051381065770.0185180620740585
0.851.464801306135160.0177120243286662
0.861.469685230192320.0174795184074861
0.871.474917965887840.0180584564782096
0.881.480761585540670.0196253023129602
0.891.487488803674810.0221705559232163
0.91.495316474135790.0253840286960603
0.911.504317236349180.0285970447590446
0.921.514339638073980.0308610764763501
0.931.524987039874550.0312216437351787
0.941.535698681224310.0291740791807796
0.951.545919057326610.0250885878205988
0.961.555248734614680.0201980025210525
0.971.563427029181220.0156957201400755
0.981.570122961625960.0113372504236551
0.991.574792952055450.00617046704603832

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.18112973998861 & 0.00703187778393969 \tabularnewline
0.02 & 1.18508961972575 & 0.00724241500685438 \tabularnewline
0.03 & 1.18926223887115 & 0.00701237859826977 \tabularnewline
0.04 & 1.192954720038 & 0.00626766397439855 \tabularnewline
0.05 & 1.19598039842202 & 0.00539253116637327 \tabularnewline
0.06 & 1.19842266480933 & 0.00478982471712775 \tabularnewline
0.07 & 1.20046746469463 & 0.00467067566033789 \tabularnewline
0.08 & 1.20231048356793 & 0.00501597913629453 \tabularnewline
0.09 & 1.20410816279884 & 0.00564299307688567 \tabularnewline
0.1 & 1.20595793556956 & 0.00634929933907004 \tabularnewline
0.11 & 1.20789973337714 & 0.00698664286354859 \tabularnewline
0.12 & 1.20993077945726 & 0.00747356266123562 \tabularnewline
0.13 & 1.21202572721364 & 0.00780727099761444 \tabularnewline
0.14 & 1.21415574873408 & 0.00803510148434569 \tabularnewline
0.15 & 1.21630262273205 & 0.00824510912740267 \tabularnewline
0.16 & 1.21846632156037 & 0.00853361831477634 \tabularnewline
0.17 & 1.22066639258603 & 0.00899312763385946 \tabularnewline
0.18 & 1.22293836505285 & 0.00968818298259035 \tabularnewline
0.19 & 1.22532670571942 & 0.0106400153719764 \tabularnewline
0.2 & 1.22787587150898 & 0.0118171621616752 \tabularnewline
0.21 & 1.23062102348982 & 0.0131314742563407 \tabularnewline
0.22 & 1.23357999532024 & 0.0144683496554824 \tabularnewline
0.23 & 1.23674800369092 & 0.0156858106346972 \tabularnewline
0.24 & 1.24009619435454 & 0.0166621781251044 \tabularnewline
0.25 & 1.24357441052743 & 0.0172968293151628 \tabularnewline
0.26 & 1.24711769332183 & 0.0175398068654925 \tabularnewline
0.27 & 1.25065522343950 & 0.0173897456254065 \tabularnewline
0.28 & 1.25411992841082 & 0.0168943856109246 \tabularnewline
0.29 & 1.25745694132557 & 0.0161479332173107 \tabularnewline
0.3 & 1.26062948613536 & 0.0152669725550083 \tabularnewline
0.31 & 1.26362143465868 & 0.0143652563003993 \tabularnewline
0.32 & 1.26643652425295 & 0.0135530580022025 \tabularnewline
0.33 & 1.26909485092005 & 0.0129077457310847 \tabularnewline
0.34 & 1.27162763847006 & 0.0124756795926415 \tabularnewline
0.35 & 1.27407139701124 & 0.0122627368276692 \tabularnewline
0.36 & 1.27646246467293 & 0.0122455854663581 \tabularnewline
0.37 & 1.27883265809009 & 0.0123744208739638 \tabularnewline
0.38 & 1.28120643011345 & 0.0125987679720108 \tabularnewline
0.39 & 1.28359962090485 & 0.0128565442755618 \tabularnewline
0.4 & 1.28601963763316 & 0.0131071186721025 \tabularnewline
0.41 & 1.28846672969473 & 0.0133134511733670 \tabularnewline
0.42 & 1.29093594381063 & 0.0134593841194911 \tabularnewline
0.43 & 1.29341933846892 & 0.0135378322041317 \tabularnewline
0.44 & 1.29590809525451 & 0.0135538675727924 \tabularnewline
0.45 & 1.29839426605967 & 0.0135243599218848 \tabularnewline
0.46 & 1.30087201675495 & 0.0134660752247716 \tabularnewline
0.47 & 1.30333834513513 & 0.0133963688571007 \tabularnewline
0.48 & 1.30579334229922 & 0.0133352847378917 \tabularnewline
0.49 & 1.30824011840773 & 0.0132953563339089 \tabularnewline
0.5 & 1.31068452375367 & 0.0132931086592260 \tabularnewline
0.51 & 1.31313477381169 & 0.0133361761107342 \tabularnewline
0.52 & 1.31560105000192 & 0.0134338586878025 \tabularnewline
0.53 & 1.31809511535419 & 0.0135962796123425 \tabularnewline
0.54 & 1.32062996925028 & 0.0138272477530540 \tabularnewline
0.55 & 1.32321957016281 & 0.0141310694299424 \tabularnewline
0.56 & 1.32587867029059 & 0.0145059982114863 \tabularnewline
0.57 & 1.32862281403715 & 0.0149581417637475 \tabularnewline
0.58 & 1.33146853607612 & 0.0154841158355199 \tabularnewline
0.59 & 1.33443374503557 & 0.0160899441017278 \tabularnewline
0.6 & 1.33753820020237 & 0.0167856152110236 \tabularnewline
0.61 & 1.34080390058371 & 0.0175854572165295 \tabularnewline
0.62 & 1.34425513817707 & 0.0185042270939629 \tabularnewline
0.63 & 1.34791795224622 & 0.019552191635985 \tabularnewline
0.64 & 1.35181878195072 & 0.020732948822504 \tabularnewline
0.65 & 1.35598225596610 & 0.0220323155155885 \tabularnewline
0.66 & 1.36042826137345 & 0.0234142365828074 \tabularnewline
0.67 & 1.36516865842420 & 0.0248249981392894 \tabularnewline
0.68 & 1.37020419460635 & 0.0261938675160422 \tabularnewline
0.69 & 1.37552225890559 & 0.0274365128324461 \tabularnewline
0.7 & 1.38109605703574 & 0.0284728785803302 \tabularnewline
0.71 & 1.38688556434378 & 0.0292320551526363 \tabularnewline
0.72 & 1.39284025468215 & 0.0296675347057513 \tabularnewline
0.73 & 1.39890318999094 & 0.0297614643182739 \tabularnewline
0.74 & 1.40501570309381 & 0.0295239964992866 \tabularnewline
0.75 & 1.41112173896305 & 0.0289948276432261 \tabularnewline
0.76 & 1.41717102596279 & 0.0282265590875658 \tabularnewline
0.77 & 1.42312064028467 & 0.0272762182290935 \tabularnewline
0.78 & 1.42893511750578 & 0.0261875672512661 \tabularnewline
0.79 & 1.43458588398693 & 0.0249928460346789 \tabularnewline
0.8 & 1.44005122538270 & 0.0237114655178811 \tabularnewline
0.81 & 1.44531812149738 & 0.0223658186709345 \tabularnewline
0.82 & 1.45038700221476 & 0.0209942409096664 \tabularnewline
0.83 & 1.45527987107831 & 0.0196706985429089 \tabularnewline
0.84 & 1.46005138106577 & 0.0185180620740585 \tabularnewline
0.85 & 1.46480130613516 & 0.0177120243286662 \tabularnewline
0.86 & 1.46968523019232 & 0.0174795184074861 \tabularnewline
0.87 & 1.47491796588784 & 0.0180584564782096 \tabularnewline
0.88 & 1.48076158554067 & 0.0196253023129602 \tabularnewline
0.89 & 1.48748880367481 & 0.0221705559232163 \tabularnewline
0.9 & 1.49531647413579 & 0.0253840286960603 \tabularnewline
0.91 & 1.50431723634918 & 0.0285970447590446 \tabularnewline
0.92 & 1.51433963807398 & 0.0308610764763501 \tabularnewline
0.93 & 1.52498703987455 & 0.0312216437351787 \tabularnewline
0.94 & 1.53569868122431 & 0.0291740791807796 \tabularnewline
0.95 & 1.54591905732661 & 0.0250885878205988 \tabularnewline
0.96 & 1.55524873461468 & 0.0201980025210525 \tabularnewline
0.97 & 1.56342702918122 & 0.0156957201400755 \tabularnewline
0.98 & 1.57012296162596 & 0.0113372504236551 \tabularnewline
0.99 & 1.57479295205545 & 0.00617046704603832 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74307&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]1.18112973998861[/C][C]0.00703187778393969[/C][/ROW]
[ROW][C]0.02[/C][C]1.18508961972575[/C][C]0.00724241500685438[/C][/ROW]
[ROW][C]0.03[/C][C]1.18926223887115[/C][C]0.00701237859826977[/C][/ROW]
[ROW][C]0.04[/C][C]1.192954720038[/C][C]0.00626766397439855[/C][/ROW]
[ROW][C]0.05[/C][C]1.19598039842202[/C][C]0.00539253116637327[/C][/ROW]
[ROW][C]0.06[/C][C]1.19842266480933[/C][C]0.00478982471712775[/C][/ROW]
[ROW][C]0.07[/C][C]1.20046746469463[/C][C]0.00467067566033789[/C][/ROW]
[ROW][C]0.08[/C][C]1.20231048356793[/C][C]0.00501597913629453[/C][/ROW]
[ROW][C]0.09[/C][C]1.20410816279884[/C][C]0.00564299307688567[/C][/ROW]
[ROW][C]0.1[/C][C]1.20595793556956[/C][C]0.00634929933907004[/C][/ROW]
[ROW][C]0.11[/C][C]1.20789973337714[/C][C]0.00698664286354859[/C][/ROW]
[ROW][C]0.12[/C][C]1.20993077945726[/C][C]0.00747356266123562[/C][/ROW]
[ROW][C]0.13[/C][C]1.21202572721364[/C][C]0.00780727099761444[/C][/ROW]
[ROW][C]0.14[/C][C]1.21415574873408[/C][C]0.00803510148434569[/C][/ROW]
[ROW][C]0.15[/C][C]1.21630262273205[/C][C]0.00824510912740267[/C][/ROW]
[ROW][C]0.16[/C][C]1.21846632156037[/C][C]0.00853361831477634[/C][/ROW]
[ROW][C]0.17[/C][C]1.22066639258603[/C][C]0.00899312763385946[/C][/ROW]
[ROW][C]0.18[/C][C]1.22293836505285[/C][C]0.00968818298259035[/C][/ROW]
[ROW][C]0.19[/C][C]1.22532670571942[/C][C]0.0106400153719764[/C][/ROW]
[ROW][C]0.2[/C][C]1.22787587150898[/C][C]0.0118171621616752[/C][/ROW]
[ROW][C]0.21[/C][C]1.23062102348982[/C][C]0.0131314742563407[/C][/ROW]
[ROW][C]0.22[/C][C]1.23357999532024[/C][C]0.0144683496554824[/C][/ROW]
[ROW][C]0.23[/C][C]1.23674800369092[/C][C]0.0156858106346972[/C][/ROW]
[ROW][C]0.24[/C][C]1.24009619435454[/C][C]0.0166621781251044[/C][/ROW]
[ROW][C]0.25[/C][C]1.24357441052743[/C][C]0.0172968293151628[/C][/ROW]
[ROW][C]0.26[/C][C]1.24711769332183[/C][C]0.0175398068654925[/C][/ROW]
[ROW][C]0.27[/C][C]1.25065522343950[/C][C]0.0173897456254065[/C][/ROW]
[ROW][C]0.28[/C][C]1.25411992841082[/C][C]0.0168943856109246[/C][/ROW]
[ROW][C]0.29[/C][C]1.25745694132557[/C][C]0.0161479332173107[/C][/ROW]
[ROW][C]0.3[/C][C]1.26062948613536[/C][C]0.0152669725550083[/C][/ROW]
[ROW][C]0.31[/C][C]1.26362143465868[/C][C]0.0143652563003993[/C][/ROW]
[ROW][C]0.32[/C][C]1.26643652425295[/C][C]0.0135530580022025[/C][/ROW]
[ROW][C]0.33[/C][C]1.26909485092005[/C][C]0.0129077457310847[/C][/ROW]
[ROW][C]0.34[/C][C]1.27162763847006[/C][C]0.0124756795926415[/C][/ROW]
[ROW][C]0.35[/C][C]1.27407139701124[/C][C]0.0122627368276692[/C][/ROW]
[ROW][C]0.36[/C][C]1.27646246467293[/C][C]0.0122455854663581[/C][/ROW]
[ROW][C]0.37[/C][C]1.27883265809009[/C][C]0.0123744208739638[/C][/ROW]
[ROW][C]0.38[/C][C]1.28120643011345[/C][C]0.0125987679720108[/C][/ROW]
[ROW][C]0.39[/C][C]1.28359962090485[/C][C]0.0128565442755618[/C][/ROW]
[ROW][C]0.4[/C][C]1.28601963763316[/C][C]0.0131071186721025[/C][/ROW]
[ROW][C]0.41[/C][C]1.28846672969473[/C][C]0.0133134511733670[/C][/ROW]
[ROW][C]0.42[/C][C]1.29093594381063[/C][C]0.0134593841194911[/C][/ROW]
[ROW][C]0.43[/C][C]1.29341933846892[/C][C]0.0135378322041317[/C][/ROW]
[ROW][C]0.44[/C][C]1.29590809525451[/C][C]0.0135538675727924[/C][/ROW]
[ROW][C]0.45[/C][C]1.29839426605967[/C][C]0.0135243599218848[/C][/ROW]
[ROW][C]0.46[/C][C]1.30087201675495[/C][C]0.0134660752247716[/C][/ROW]
[ROW][C]0.47[/C][C]1.30333834513513[/C][C]0.0133963688571007[/C][/ROW]
[ROW][C]0.48[/C][C]1.30579334229922[/C][C]0.0133352847378917[/C][/ROW]
[ROW][C]0.49[/C][C]1.30824011840773[/C][C]0.0132953563339089[/C][/ROW]
[ROW][C]0.5[/C][C]1.31068452375367[/C][C]0.0132931086592260[/C][/ROW]
[ROW][C]0.51[/C][C]1.31313477381169[/C][C]0.0133361761107342[/C][/ROW]
[ROW][C]0.52[/C][C]1.31560105000192[/C][C]0.0134338586878025[/C][/ROW]
[ROW][C]0.53[/C][C]1.31809511535419[/C][C]0.0135962796123425[/C][/ROW]
[ROW][C]0.54[/C][C]1.32062996925028[/C][C]0.0138272477530540[/C][/ROW]
[ROW][C]0.55[/C][C]1.32321957016281[/C][C]0.0141310694299424[/C][/ROW]
[ROW][C]0.56[/C][C]1.32587867029059[/C][C]0.0145059982114863[/C][/ROW]
[ROW][C]0.57[/C][C]1.32862281403715[/C][C]0.0149581417637475[/C][/ROW]
[ROW][C]0.58[/C][C]1.33146853607612[/C][C]0.0154841158355199[/C][/ROW]
[ROW][C]0.59[/C][C]1.33443374503557[/C][C]0.0160899441017278[/C][/ROW]
[ROW][C]0.6[/C][C]1.33753820020237[/C][C]0.0167856152110236[/C][/ROW]
[ROW][C]0.61[/C][C]1.34080390058371[/C][C]0.0175854572165295[/C][/ROW]
[ROW][C]0.62[/C][C]1.34425513817707[/C][C]0.0185042270939629[/C][/ROW]
[ROW][C]0.63[/C][C]1.34791795224622[/C][C]0.019552191635985[/C][/ROW]
[ROW][C]0.64[/C][C]1.35181878195072[/C][C]0.020732948822504[/C][/ROW]
[ROW][C]0.65[/C][C]1.35598225596610[/C][C]0.0220323155155885[/C][/ROW]
[ROW][C]0.66[/C][C]1.36042826137345[/C][C]0.0234142365828074[/C][/ROW]
[ROW][C]0.67[/C][C]1.36516865842420[/C][C]0.0248249981392894[/C][/ROW]
[ROW][C]0.68[/C][C]1.37020419460635[/C][C]0.0261938675160422[/C][/ROW]
[ROW][C]0.69[/C][C]1.37552225890559[/C][C]0.0274365128324461[/C][/ROW]
[ROW][C]0.7[/C][C]1.38109605703574[/C][C]0.0284728785803302[/C][/ROW]
[ROW][C]0.71[/C][C]1.38688556434378[/C][C]0.0292320551526363[/C][/ROW]
[ROW][C]0.72[/C][C]1.39284025468215[/C][C]0.0296675347057513[/C][/ROW]
[ROW][C]0.73[/C][C]1.39890318999094[/C][C]0.0297614643182739[/C][/ROW]
[ROW][C]0.74[/C][C]1.40501570309381[/C][C]0.0295239964992866[/C][/ROW]
[ROW][C]0.75[/C][C]1.41112173896305[/C][C]0.0289948276432261[/C][/ROW]
[ROW][C]0.76[/C][C]1.41717102596279[/C][C]0.0282265590875658[/C][/ROW]
[ROW][C]0.77[/C][C]1.42312064028467[/C][C]0.0272762182290935[/C][/ROW]
[ROW][C]0.78[/C][C]1.42893511750578[/C][C]0.0261875672512661[/C][/ROW]
[ROW][C]0.79[/C][C]1.43458588398693[/C][C]0.0249928460346789[/C][/ROW]
[ROW][C]0.8[/C][C]1.44005122538270[/C][C]0.0237114655178811[/C][/ROW]
[ROW][C]0.81[/C][C]1.44531812149738[/C][C]0.0223658186709345[/C][/ROW]
[ROW][C]0.82[/C][C]1.45038700221476[/C][C]0.0209942409096664[/C][/ROW]
[ROW][C]0.83[/C][C]1.45527987107831[/C][C]0.0196706985429089[/C][/ROW]
[ROW][C]0.84[/C][C]1.46005138106577[/C][C]0.0185180620740585[/C][/ROW]
[ROW][C]0.85[/C][C]1.46480130613516[/C][C]0.0177120243286662[/C][/ROW]
[ROW][C]0.86[/C][C]1.46968523019232[/C][C]0.0174795184074861[/C][/ROW]
[ROW][C]0.87[/C][C]1.47491796588784[/C][C]0.0180584564782096[/C][/ROW]
[ROW][C]0.88[/C][C]1.48076158554067[/C][C]0.0196253023129602[/C][/ROW]
[ROW][C]0.89[/C][C]1.48748880367481[/C][C]0.0221705559232163[/C][/ROW]
[ROW][C]0.9[/C][C]1.49531647413579[/C][C]0.0253840286960603[/C][/ROW]
[ROW][C]0.91[/C][C]1.50431723634918[/C][C]0.0285970447590446[/C][/ROW]
[ROW][C]0.92[/C][C]1.51433963807398[/C][C]0.0308610764763501[/C][/ROW]
[ROW][C]0.93[/C][C]1.52498703987455[/C][C]0.0312216437351787[/C][/ROW]
[ROW][C]0.94[/C][C]1.53569868122431[/C][C]0.0291740791807796[/C][/ROW]
[ROW][C]0.95[/C][C]1.54591905732661[/C][C]0.0250885878205988[/C][/ROW]
[ROW][C]0.96[/C][C]1.55524873461468[/C][C]0.0201980025210525[/C][/ROW]
[ROW][C]0.97[/C][C]1.56342702918122[/C][C]0.0156957201400755[/C][/ROW]
[ROW][C]0.98[/C][C]1.57012296162596[/C][C]0.0113372504236551[/C][/ROW]
[ROW][C]0.99[/C][C]1.57479295205545[/C][C]0.00617046704603832[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74307&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74307&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.181129739988610.00703187778393969
0.021.185089619725750.00724241500685438
0.031.189262238871150.00701237859826977
0.041.1929547200380.00626766397439855
0.051.195980398422020.00539253116637327
0.061.198422664809330.00478982471712775
0.071.200467464694630.00467067566033789
0.081.202310483567930.00501597913629453
0.091.204108162798840.00564299307688567
0.11.205957935569560.00634929933907004
0.111.207899733377140.00698664286354859
0.121.209930779457260.00747356266123562
0.131.212025727213640.00780727099761444
0.141.214155748734080.00803510148434569
0.151.216302622732050.00824510912740267
0.161.218466321560370.00853361831477634
0.171.220666392586030.00899312763385946
0.181.222938365052850.00968818298259035
0.191.225326705719420.0106400153719764
0.21.227875871508980.0118171621616752
0.211.230621023489820.0131314742563407
0.221.233579995320240.0144683496554824
0.231.236748003690920.0156858106346972
0.241.240096194354540.0166621781251044
0.251.243574410527430.0172968293151628
0.261.247117693321830.0175398068654925
0.271.250655223439500.0173897456254065
0.281.254119928410820.0168943856109246
0.291.257456941325570.0161479332173107
0.31.260629486135360.0152669725550083
0.311.263621434658680.0143652563003993
0.321.266436524252950.0135530580022025
0.331.269094850920050.0129077457310847
0.341.271627638470060.0124756795926415
0.351.274071397011240.0122627368276692
0.361.276462464672930.0122455854663581
0.371.278832658090090.0123744208739638
0.381.281206430113450.0125987679720108
0.391.283599620904850.0128565442755618
0.41.286019637633160.0131071186721025
0.411.288466729694730.0133134511733670
0.421.290935943810630.0134593841194911
0.431.293419338468920.0135378322041317
0.441.295908095254510.0135538675727924
0.451.298394266059670.0135243599218848
0.461.300872016754950.0134660752247716
0.471.303338345135130.0133963688571007
0.481.305793342299220.0133352847378917
0.491.308240118407730.0132953563339089
0.51.310684523753670.0132931086592260
0.511.313134773811690.0133361761107342
0.521.315601050001920.0134338586878025
0.531.318095115354190.0135962796123425
0.541.320629969250280.0138272477530540
0.551.323219570162810.0141310694299424
0.561.325878670290590.0145059982114863
0.571.328622814037150.0149581417637475
0.581.331468536076120.0154841158355199
0.591.334433745035570.0160899441017278
0.61.337538200202370.0167856152110236
0.611.340803900583710.0175854572165295
0.621.344255138177070.0185042270939629
0.631.347917952246220.019552191635985
0.641.351818781950720.020732948822504
0.651.355982255966100.0220323155155885
0.661.360428261373450.0234142365828074
0.671.365168658424200.0248249981392894
0.681.370204194606350.0261938675160422
0.691.375522258905590.0274365128324461
0.71.381096057035740.0284728785803302
0.711.386885564343780.0292320551526363
0.721.392840254682150.0296675347057513
0.731.398903189990940.0297614643182739
0.741.405015703093810.0295239964992866
0.751.411121738963050.0289948276432261
0.761.417171025962790.0282265590875658
0.771.423120640284670.0272762182290935
0.781.428935117505780.0261875672512661
0.791.434585883986930.0249928460346789
0.81.440051225382700.0237114655178811
0.811.445318121497380.0223658186709345
0.821.450387002214760.0209942409096664
0.831.455279871078310.0196706985429089
0.841.460051381065770.0185180620740585
0.851.464801306135160.0177120243286662
0.861.469685230192320.0174795184074861
0.871.474917965887840.0180584564782096
0.881.480761585540670.0196253023129602
0.891.487488803674810.0221705559232163
0.91.495316474135790.0253840286960603
0.911.504317236349180.0285970447590446
0.921.514339638073980.0308610764763501
0.931.524987039874550.0312216437351787
0.941.535698681224310.0291740791807796
0.951.545919057326610.0250885878205988
0.961.555248734614680.0201980025210525
0.971.563427029181220.0156957201400755
0.981.570122961625960.0113372504236551
0.991.574792952055450.00617046704603832



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')