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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, 01 Oct 2013 11:54:08 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/01/t13806428601m7jx7lnqfi3rnx.htm/, Retrieved Sat, 02 May 2026 22:42:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212575, Retrieved Sat, 02 May 2026 22:42:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact344

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] [] [2013-10-01 15:54:08] [0867de6134d40384f45e4afedb3459b9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102.43
102.43
102.43
102.43
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
108.1
109.2
109.2
109.2
109.2
109.2
109.2
109.2
109.2
109.2
109.2
109.2
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
115.57
115.57
115.57
115.57
115.57
115.57
115.57
115.57
115.57
115.57
115.57
117.3
117.3
118.39
118.39
118.39
118.39
118.39
118.39
118.39
118.39
118.39
118.39
121.18
123.21
123.21
123.21
123.21
123.21
123.21
123.21
123.21

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212575&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212575&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212575&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.450664130830.0755205731445589
0.02102.5322726724480.272490573975756
0.03102.7078267838220.52772405889841
0.04102.9721804924750.713843189675243
0.05103.2807794401710.749369907063138
0.06103.5762095634710.647027283655661
0.07103.8170447566380.478211801978374
0.08103.9900185818770.315812787476371
0.09104.1054102625460.206372259614415
0.1104.1858319907410.180258470572979
0.11104.2570089463580.248033500017526
0.12104.3431291459940.392638245515645
0.13104.4652460727910.603233985008138
0.14104.6404175748470.868255017571959
0.15104.8803323149521.16602454118327
0.16105.1895013130271.46412432116385
0.17105.5638591682631.72475572897152
0.18105.9906801337061.91265115442307
0.19106.4502590011072.0033693222048
0.2106.9191479858471.98904648519291
0.21107.3741861142381.87968921334051
0.22107.7963150225181.70031730688088
0.23108.1732957251231.48466963724734
0.24108.5008267093951.26874570028275
0.25108.782035814441.08476537462685
0.26109.0257067870740.95710978149261
0.27109.2438095848860.897922634423673
0.28109.4489236365620.903375825956863
0.29109.6520297358930.955724505626772
0.3109.8609725055041.03142955562932
0.31110.0797199763151.10830496300857
0.32110.3084004917351.16841758802522
0.33110.5439880109021.19981237150043
0.34110.7814332630071.19696351553739
0.35111.0149984729111.16098070976682
0.36111.2395486253341.09906663562214
0.37111.4515831615421.02262559093149
0.38111.6498545331760.94574960163503
0.39111.8355034540890.882669388116957
0.4112.0117294653960.845278264180874
0.41112.1830934140910.840160732308333
0.42112.3546030345870.866699507825269
0.43112.5307572834780.917164009325258
0.44112.7147186765540.979817644181857
0.45112.9077495905021.04136174284395
0.46113.1089954576361.08955877924053
0.47113.3156341622341.11465980503604
0.48113.5233471252111.11068354565952
0.49113.7270141502831.07570865584232
0.5113.9215003554781.012212603261
0.51114.1023953283460.926106282763069
0.52114.2665828588460.82591992857616
0.53114.4125594438440.721073933162306
0.54114.5404719010350.620782106214437
0.55114.6518974681390.532624860597769
0.56114.7494331789270.462009306870783
0.57114.8361879268320.411075720898592
0.58114.9152777739950.378874409189635
0.59114.9894142679840.361473257500804
0.6115.0606512032820.353407182344364
0.61115.1303230580560.349473642508113
0.62115.1991737693620.346120096421443
0.63115.267642194240.341837392667243
0.64115.3362440203380.337968692700367
0.65115.4059715294570.338052937588937
0.66115.4786242991440.347951356385957
0.67115.5569871313740.374317710849869
0.68115.6447875409210.422578051040169
0.69115.7463949323410.494907173574804
0.7115.8662667475340.589102187940913
0.71116.0082001415210.699165787209512
0.72116.1745035164670.815380087228977
0.73116.365248085990.925388376774746
0.74116.5777803212511.01588536045959
0.75116.8066584765911.07438852509949
0.76117.0441158554721.09171778088771
0.77117.2810593622091.06411845736825
0.78117.5085073952740.994541847160372
0.79117.7192855800250.89301686799346
0.8117.9097530311380.775657997637712
0.81118.0813230405970.664385173581551
0.82118.2415393017370.586545487150182
0.83118.4044293649970.57499463618083
0.84118.5897674786570.656958610479197
0.85118.820804249360.836679384876688
0.86119.1201228090581.09406550019958
0.87119.5037576200581.39061813586862
0.88119.9746302284791.67000469644439
0.89120.5174499553081.86511671268073
0.9121.0978260498221.91574497345857
0.91121.667630691691.79124347018762
0.92122.1763126979871.50741676826447
0.93122.5846749375481.12604168460909
0.94122.8754702188260.733394300124735
0.95123.0559210874090.406351652218491
0.96123.1511610199550.184788049417255
0.97123.1924314605120.0651518244070899
0.98123.2063134834490.0160274988290591
0.99123.2095825714920.00210679381390577

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.45066413083 & 0.0755205731445589 \tabularnewline
0.02 & 102.532272672448 & 0.272490573975756 \tabularnewline
0.03 & 102.707826783822 & 0.52772405889841 \tabularnewline
0.04 & 102.972180492475 & 0.713843189675243 \tabularnewline
0.05 & 103.280779440171 & 0.749369907063138 \tabularnewline
0.06 & 103.576209563471 & 0.647027283655661 \tabularnewline
0.07 & 103.817044756638 & 0.478211801978374 \tabularnewline
0.08 & 103.990018581877 & 0.315812787476371 \tabularnewline
0.09 & 104.105410262546 & 0.206372259614415 \tabularnewline
0.1 & 104.185831990741 & 0.180258470572979 \tabularnewline
0.11 & 104.257008946358 & 0.248033500017526 \tabularnewline
0.12 & 104.343129145994 & 0.392638245515645 \tabularnewline
0.13 & 104.465246072791 & 0.603233985008138 \tabularnewline
0.14 & 104.640417574847 & 0.868255017571959 \tabularnewline
0.15 & 104.880332314952 & 1.16602454118327 \tabularnewline
0.16 & 105.189501313027 & 1.46412432116385 \tabularnewline
0.17 & 105.563859168263 & 1.72475572897152 \tabularnewline
0.18 & 105.990680133706 & 1.91265115442307 \tabularnewline
0.19 & 106.450259001107 & 2.0033693222048 \tabularnewline
0.2 & 106.919147985847 & 1.98904648519291 \tabularnewline
0.21 & 107.374186114238 & 1.87968921334051 \tabularnewline
0.22 & 107.796315022518 & 1.70031730688088 \tabularnewline
0.23 & 108.173295725123 & 1.48466963724734 \tabularnewline
0.24 & 108.500826709395 & 1.26874570028275 \tabularnewline
0.25 & 108.78203581444 & 1.08476537462685 \tabularnewline
0.26 & 109.025706787074 & 0.95710978149261 \tabularnewline
0.27 & 109.243809584886 & 0.897922634423673 \tabularnewline
0.28 & 109.448923636562 & 0.903375825956863 \tabularnewline
0.29 & 109.652029735893 & 0.955724505626772 \tabularnewline
0.3 & 109.860972505504 & 1.03142955562932 \tabularnewline
0.31 & 110.079719976315 & 1.10830496300857 \tabularnewline
0.32 & 110.308400491735 & 1.16841758802522 \tabularnewline
0.33 & 110.543988010902 & 1.19981237150043 \tabularnewline
0.34 & 110.781433263007 & 1.19696351553739 \tabularnewline
0.35 & 111.014998472911 & 1.16098070976682 \tabularnewline
0.36 & 111.239548625334 & 1.09906663562214 \tabularnewline
0.37 & 111.451583161542 & 1.02262559093149 \tabularnewline
0.38 & 111.649854533176 & 0.94574960163503 \tabularnewline
0.39 & 111.835503454089 & 0.882669388116957 \tabularnewline
0.4 & 112.011729465396 & 0.845278264180874 \tabularnewline
0.41 & 112.183093414091 & 0.840160732308333 \tabularnewline
0.42 & 112.354603034587 & 0.866699507825269 \tabularnewline
0.43 & 112.530757283478 & 0.917164009325258 \tabularnewline
0.44 & 112.714718676554 & 0.979817644181857 \tabularnewline
0.45 & 112.907749590502 & 1.04136174284395 \tabularnewline
0.46 & 113.108995457636 & 1.08955877924053 \tabularnewline
0.47 & 113.315634162234 & 1.11465980503604 \tabularnewline
0.48 & 113.523347125211 & 1.11068354565952 \tabularnewline
0.49 & 113.727014150283 & 1.07570865584232 \tabularnewline
0.5 & 113.921500355478 & 1.012212603261 \tabularnewline
0.51 & 114.102395328346 & 0.926106282763069 \tabularnewline
0.52 & 114.266582858846 & 0.82591992857616 \tabularnewline
0.53 & 114.412559443844 & 0.721073933162306 \tabularnewline
0.54 & 114.540471901035 & 0.620782106214437 \tabularnewline
0.55 & 114.651897468139 & 0.532624860597769 \tabularnewline
0.56 & 114.749433178927 & 0.462009306870783 \tabularnewline
0.57 & 114.836187926832 & 0.411075720898592 \tabularnewline
0.58 & 114.915277773995 & 0.378874409189635 \tabularnewline
0.59 & 114.989414267984 & 0.361473257500804 \tabularnewline
0.6 & 115.060651203282 & 0.353407182344364 \tabularnewline
0.61 & 115.130323058056 & 0.349473642508113 \tabularnewline
0.62 & 115.199173769362 & 0.346120096421443 \tabularnewline
0.63 & 115.26764219424 & 0.341837392667243 \tabularnewline
0.64 & 115.336244020338 & 0.337968692700367 \tabularnewline
0.65 & 115.405971529457 & 0.338052937588937 \tabularnewline
0.66 & 115.478624299144 & 0.347951356385957 \tabularnewline
0.67 & 115.556987131374 & 0.374317710849869 \tabularnewline
0.68 & 115.644787540921 & 0.422578051040169 \tabularnewline
0.69 & 115.746394932341 & 0.494907173574804 \tabularnewline
0.7 & 115.866266747534 & 0.589102187940913 \tabularnewline
0.71 & 116.008200141521 & 0.699165787209512 \tabularnewline
0.72 & 116.174503516467 & 0.815380087228977 \tabularnewline
0.73 & 116.36524808599 & 0.925388376774746 \tabularnewline
0.74 & 116.577780321251 & 1.01588536045959 \tabularnewline
0.75 & 116.806658476591 & 1.07438852509949 \tabularnewline
0.76 & 117.044115855472 & 1.09171778088771 \tabularnewline
0.77 & 117.281059362209 & 1.06411845736825 \tabularnewline
0.78 & 117.508507395274 & 0.994541847160372 \tabularnewline
0.79 & 117.719285580025 & 0.89301686799346 \tabularnewline
0.8 & 117.909753031138 & 0.775657997637712 \tabularnewline
0.81 & 118.081323040597 & 0.664385173581551 \tabularnewline
0.82 & 118.241539301737 & 0.586545487150182 \tabularnewline
0.83 & 118.404429364997 & 0.57499463618083 \tabularnewline
0.84 & 118.589767478657 & 0.656958610479197 \tabularnewline
0.85 & 118.82080424936 & 0.836679384876688 \tabularnewline
0.86 & 119.120122809058 & 1.09406550019958 \tabularnewline
0.87 & 119.503757620058 & 1.39061813586862 \tabularnewline
0.88 & 119.974630228479 & 1.67000469644439 \tabularnewline
0.89 & 120.517449955308 & 1.86511671268073 \tabularnewline
0.9 & 121.097826049822 & 1.91574497345857 \tabularnewline
0.91 & 121.66763069169 & 1.79124347018762 \tabularnewline
0.92 & 122.176312697987 & 1.50741676826447 \tabularnewline
0.93 & 122.584674937548 & 1.12604168460909 \tabularnewline
0.94 & 122.875470218826 & 0.733394300124735 \tabularnewline
0.95 & 123.055921087409 & 0.406351652218491 \tabularnewline
0.96 & 123.151161019955 & 0.184788049417255 \tabularnewline
0.97 & 123.192431460512 & 0.0651518244070899 \tabularnewline
0.98 & 123.206313483449 & 0.0160274988290591 \tabularnewline
0.99 & 123.209582571492 & 0.00210679381390577 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212575&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]102.45066413083[/C][C]0.0755205731445589[/C][/ROW]
[ROW][C]0.02[/C][C]102.532272672448[/C][C]0.272490573975756[/C][/ROW]
[ROW][C]0.03[/C][C]102.707826783822[/C][C]0.52772405889841[/C][/ROW]
[ROW][C]0.04[/C][C]102.972180492475[/C][C]0.713843189675243[/C][/ROW]
[ROW][C]0.05[/C][C]103.280779440171[/C][C]0.749369907063138[/C][/ROW]
[ROW][C]0.06[/C][C]103.576209563471[/C][C]0.647027283655661[/C][/ROW]
[ROW][C]0.07[/C][C]103.817044756638[/C][C]0.478211801978374[/C][/ROW]
[ROW][C]0.08[/C][C]103.990018581877[/C][C]0.315812787476371[/C][/ROW]
[ROW][C]0.09[/C][C]104.105410262546[/C][C]0.206372259614415[/C][/ROW]
[ROW][C]0.1[/C][C]104.185831990741[/C][C]0.180258470572979[/C][/ROW]
[ROW][C]0.11[/C][C]104.257008946358[/C][C]0.248033500017526[/C][/ROW]
[ROW][C]0.12[/C][C]104.343129145994[/C][C]0.392638245515645[/C][/ROW]
[ROW][C]0.13[/C][C]104.465246072791[/C][C]0.603233985008138[/C][/ROW]
[ROW][C]0.14[/C][C]104.640417574847[/C][C]0.868255017571959[/C][/ROW]
[ROW][C]0.15[/C][C]104.880332314952[/C][C]1.16602454118327[/C][/ROW]
[ROW][C]0.16[/C][C]105.189501313027[/C][C]1.46412432116385[/C][/ROW]
[ROW][C]0.17[/C][C]105.563859168263[/C][C]1.72475572897152[/C][/ROW]
[ROW][C]0.18[/C][C]105.990680133706[/C][C]1.91265115442307[/C][/ROW]
[ROW][C]0.19[/C][C]106.450259001107[/C][C]2.0033693222048[/C][/ROW]
[ROW][C]0.2[/C][C]106.919147985847[/C][C]1.98904648519291[/C][/ROW]
[ROW][C]0.21[/C][C]107.374186114238[/C][C]1.87968921334051[/C][/ROW]
[ROW][C]0.22[/C][C]107.796315022518[/C][C]1.70031730688088[/C][/ROW]
[ROW][C]0.23[/C][C]108.173295725123[/C][C]1.48466963724734[/C][/ROW]
[ROW][C]0.24[/C][C]108.500826709395[/C][C]1.26874570028275[/C][/ROW]
[ROW][C]0.25[/C][C]108.78203581444[/C][C]1.08476537462685[/C][/ROW]
[ROW][C]0.26[/C][C]109.025706787074[/C][C]0.95710978149261[/C][/ROW]
[ROW][C]0.27[/C][C]109.243809584886[/C][C]0.897922634423673[/C][/ROW]
[ROW][C]0.28[/C][C]109.448923636562[/C][C]0.903375825956863[/C][/ROW]
[ROW][C]0.29[/C][C]109.652029735893[/C][C]0.955724505626772[/C][/ROW]
[ROW][C]0.3[/C][C]109.860972505504[/C][C]1.03142955562932[/C][/ROW]
[ROW][C]0.31[/C][C]110.079719976315[/C][C]1.10830496300857[/C][/ROW]
[ROW][C]0.32[/C][C]110.308400491735[/C][C]1.16841758802522[/C][/ROW]
[ROW][C]0.33[/C][C]110.543988010902[/C][C]1.19981237150043[/C][/ROW]
[ROW][C]0.34[/C][C]110.781433263007[/C][C]1.19696351553739[/C][/ROW]
[ROW][C]0.35[/C][C]111.014998472911[/C][C]1.16098070976682[/C][/ROW]
[ROW][C]0.36[/C][C]111.239548625334[/C][C]1.09906663562214[/C][/ROW]
[ROW][C]0.37[/C][C]111.451583161542[/C][C]1.02262559093149[/C][/ROW]
[ROW][C]0.38[/C][C]111.649854533176[/C][C]0.94574960163503[/C][/ROW]
[ROW][C]0.39[/C][C]111.835503454089[/C][C]0.882669388116957[/C][/ROW]
[ROW][C]0.4[/C][C]112.011729465396[/C][C]0.845278264180874[/C][/ROW]
[ROW][C]0.41[/C][C]112.183093414091[/C][C]0.840160732308333[/C][/ROW]
[ROW][C]0.42[/C][C]112.354603034587[/C][C]0.866699507825269[/C][/ROW]
[ROW][C]0.43[/C][C]112.530757283478[/C][C]0.917164009325258[/C][/ROW]
[ROW][C]0.44[/C][C]112.714718676554[/C][C]0.979817644181857[/C][/ROW]
[ROW][C]0.45[/C][C]112.907749590502[/C][C]1.04136174284395[/C][/ROW]
[ROW][C]0.46[/C][C]113.108995457636[/C][C]1.08955877924053[/C][/ROW]
[ROW][C]0.47[/C][C]113.315634162234[/C][C]1.11465980503604[/C][/ROW]
[ROW][C]0.48[/C][C]113.523347125211[/C][C]1.11068354565952[/C][/ROW]
[ROW][C]0.49[/C][C]113.727014150283[/C][C]1.07570865584232[/C][/ROW]
[ROW][C]0.5[/C][C]113.921500355478[/C][C]1.012212603261[/C][/ROW]
[ROW][C]0.51[/C][C]114.102395328346[/C][C]0.926106282763069[/C][/ROW]
[ROW][C]0.52[/C][C]114.266582858846[/C][C]0.82591992857616[/C][/ROW]
[ROW][C]0.53[/C][C]114.412559443844[/C][C]0.721073933162306[/C][/ROW]
[ROW][C]0.54[/C][C]114.540471901035[/C][C]0.620782106214437[/C][/ROW]
[ROW][C]0.55[/C][C]114.651897468139[/C][C]0.532624860597769[/C][/ROW]
[ROW][C]0.56[/C][C]114.749433178927[/C][C]0.462009306870783[/C][/ROW]
[ROW][C]0.57[/C][C]114.836187926832[/C][C]0.411075720898592[/C][/ROW]
[ROW][C]0.58[/C][C]114.915277773995[/C][C]0.378874409189635[/C][/ROW]
[ROW][C]0.59[/C][C]114.989414267984[/C][C]0.361473257500804[/C][/ROW]
[ROW][C]0.6[/C][C]115.060651203282[/C][C]0.353407182344364[/C][/ROW]
[ROW][C]0.61[/C][C]115.130323058056[/C][C]0.349473642508113[/C][/ROW]
[ROW][C]0.62[/C][C]115.199173769362[/C][C]0.346120096421443[/C][/ROW]
[ROW][C]0.63[/C][C]115.26764219424[/C][C]0.341837392667243[/C][/ROW]
[ROW][C]0.64[/C][C]115.336244020338[/C][C]0.337968692700367[/C][/ROW]
[ROW][C]0.65[/C][C]115.405971529457[/C][C]0.338052937588937[/C][/ROW]
[ROW][C]0.66[/C][C]115.478624299144[/C][C]0.347951356385957[/C][/ROW]
[ROW][C]0.67[/C][C]115.556987131374[/C][C]0.374317710849869[/C][/ROW]
[ROW][C]0.68[/C][C]115.644787540921[/C][C]0.422578051040169[/C][/ROW]
[ROW][C]0.69[/C][C]115.746394932341[/C][C]0.494907173574804[/C][/ROW]
[ROW][C]0.7[/C][C]115.866266747534[/C][C]0.589102187940913[/C][/ROW]
[ROW][C]0.71[/C][C]116.008200141521[/C][C]0.699165787209512[/C][/ROW]
[ROW][C]0.72[/C][C]116.174503516467[/C][C]0.815380087228977[/C][/ROW]
[ROW][C]0.73[/C][C]116.36524808599[/C][C]0.925388376774746[/C][/ROW]
[ROW][C]0.74[/C][C]116.577780321251[/C][C]1.01588536045959[/C][/ROW]
[ROW][C]0.75[/C][C]116.806658476591[/C][C]1.07438852509949[/C][/ROW]
[ROW][C]0.76[/C][C]117.044115855472[/C][C]1.09171778088771[/C][/ROW]
[ROW][C]0.77[/C][C]117.281059362209[/C][C]1.06411845736825[/C][/ROW]
[ROW][C]0.78[/C][C]117.508507395274[/C][C]0.994541847160372[/C][/ROW]
[ROW][C]0.79[/C][C]117.719285580025[/C][C]0.89301686799346[/C][/ROW]
[ROW][C]0.8[/C][C]117.909753031138[/C][C]0.775657997637712[/C][/ROW]
[ROW][C]0.81[/C][C]118.081323040597[/C][C]0.664385173581551[/C][/ROW]
[ROW][C]0.82[/C][C]118.241539301737[/C][C]0.586545487150182[/C][/ROW]
[ROW][C]0.83[/C][C]118.404429364997[/C][C]0.57499463618083[/C][/ROW]
[ROW][C]0.84[/C][C]118.589767478657[/C][C]0.656958610479197[/C][/ROW]
[ROW][C]0.85[/C][C]118.82080424936[/C][C]0.836679384876688[/C][/ROW]
[ROW][C]0.86[/C][C]119.120122809058[/C][C]1.09406550019958[/C][/ROW]
[ROW][C]0.87[/C][C]119.503757620058[/C][C]1.39061813586862[/C][/ROW]
[ROW][C]0.88[/C][C]119.974630228479[/C][C]1.67000469644439[/C][/ROW]
[ROW][C]0.89[/C][C]120.517449955308[/C][C]1.86511671268073[/C][/ROW]
[ROW][C]0.9[/C][C]121.097826049822[/C][C]1.91574497345857[/C][/ROW]
[ROW][C]0.91[/C][C]121.66763069169[/C][C]1.79124347018762[/C][/ROW]
[ROW][C]0.92[/C][C]122.176312697987[/C][C]1.50741676826447[/C][/ROW]
[ROW][C]0.93[/C][C]122.584674937548[/C][C]1.12604168460909[/C][/ROW]
[ROW][C]0.94[/C][C]122.875470218826[/C][C]0.733394300124735[/C][/ROW]
[ROW][C]0.95[/C][C]123.055921087409[/C][C]0.406351652218491[/C][/ROW]
[ROW][C]0.96[/C][C]123.151161019955[/C][C]0.184788049417255[/C][/ROW]
[ROW][C]0.97[/C][C]123.192431460512[/C][C]0.0651518244070899[/C][/ROW]
[ROW][C]0.98[/C][C]123.206313483449[/C][C]0.0160274988290591[/C][/ROW]
[ROW][C]0.99[/C][C]123.209582571492[/C][C]0.00210679381390577[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212575&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212575&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
0.01102.450664130830.0755205731445589
0.02102.5322726724480.272490573975756
0.03102.7078267838220.52772405889841
0.04102.9721804924750.713843189675243
0.05103.2807794401710.749369907063138
0.06103.5762095634710.647027283655661
0.07103.8170447566380.478211801978374
0.08103.9900185818770.315812787476371
0.09104.1054102625460.206372259614415
0.1104.1858319907410.180258470572979
0.11104.2570089463580.248033500017526
0.12104.3431291459940.392638245515645
0.13104.4652460727910.603233985008138
0.14104.6404175748470.868255017571959
0.15104.8803323149521.16602454118327
0.16105.1895013130271.46412432116385
0.17105.5638591682631.72475572897152
0.18105.9906801337061.91265115442307
0.19106.4502590011072.0033693222048
0.2106.9191479858471.98904648519291
0.21107.3741861142381.87968921334051
0.22107.7963150225181.70031730688088
0.23108.1732957251231.48466963724734
0.24108.5008267093951.26874570028275
0.25108.782035814441.08476537462685
0.26109.0257067870740.95710978149261
0.27109.2438095848860.897922634423673
0.28109.4489236365620.903375825956863
0.29109.6520297358930.955724505626772
0.3109.8609725055041.03142955562932
0.31110.0797199763151.10830496300857
0.32110.3084004917351.16841758802522
0.33110.5439880109021.19981237150043
0.34110.7814332630071.19696351553739
0.35111.0149984729111.16098070976682
0.36111.2395486253341.09906663562214
0.37111.4515831615421.02262559093149
0.38111.6498545331760.94574960163503
0.39111.8355034540890.882669388116957
0.4112.0117294653960.845278264180874
0.41112.1830934140910.840160732308333
0.42112.3546030345870.866699507825269
0.43112.5307572834780.917164009325258
0.44112.7147186765540.979817644181857
0.45112.9077495905021.04136174284395
0.46113.1089954576361.08955877924053
0.47113.3156341622341.11465980503604
0.48113.5233471252111.11068354565952
0.49113.7270141502831.07570865584232
0.5113.9215003554781.012212603261
0.51114.1023953283460.926106282763069
0.52114.2665828588460.82591992857616
0.53114.4125594438440.721073933162306
0.54114.5404719010350.620782106214437
0.55114.6518974681390.532624860597769
0.56114.7494331789270.462009306870783
0.57114.8361879268320.411075720898592
0.58114.9152777739950.378874409189635
0.59114.9894142679840.361473257500804
0.6115.0606512032820.353407182344364
0.61115.1303230580560.349473642508113
0.62115.1991737693620.346120096421443
0.63115.267642194240.341837392667243
0.64115.3362440203380.337968692700367
0.65115.4059715294570.338052937588937
0.66115.4786242991440.347951356385957
0.67115.5569871313740.374317710849869
0.68115.6447875409210.422578051040169
0.69115.7463949323410.494907173574804
0.7115.8662667475340.589102187940913
0.71116.0082001415210.699165787209512
0.72116.1745035164670.815380087228977
0.73116.365248085990.925388376774746
0.74116.5777803212511.01588536045959
0.75116.8066584765911.07438852509949
0.76117.0441158554721.09171778088771
0.77117.2810593622091.06411845736825
0.78117.5085073952740.994541847160372
0.79117.7192855800250.89301686799346
0.8117.9097530311380.775657997637712
0.81118.0813230405970.664385173581551
0.82118.2415393017370.586545487150182
0.83118.4044293649970.57499463618083
0.84118.5897674786570.656958610479197
0.85118.820804249360.836679384876688
0.86119.1201228090581.09406550019958
0.87119.5037576200581.39061813586862
0.88119.9746302284791.67000469644439
0.89120.5174499553081.86511671268073
0.9121.0978260498221.91574497345857
0.91121.667630691691.79124347018762
0.92122.1763126979871.50741676826447
0.93122.5846749375481.12604168460909
0.94122.8754702188260.733394300124735
0.95123.0559210874090.406351652218491
0.96123.1511610199550.184788049417255
0.97123.1924314605120.0651518244070899
0.98123.2063134834490.0160274988290591
0.99123.2095825714920.00210679381390577


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')