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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 computationSat, 27 Feb 2016 20:56:21 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/27/t1456606639csaxk4f309g9aex.htm/, Retrieved Sat, 27 Apr 2024 08:09:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292946, Retrieved Sat, 27 Apr 2024 08:09:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

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] [] [2016-02-27 20:56:21] [1af9caed13b550360754d0d82088541b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103,71
103,07
103,93
102,9
101,54
102,13
101,08
101,33
101,24
100,58
99,87
99,1
98,98
98,77
98,05
97,94
97,65
97,2
97,39
97,35
98,01
97,81
97,56
98,05
97,82
99,05
98,86
97,64
97,77
98,07
98,36
100
99,52
98,82
98,98
98,6
98,8
99,62
99,35
99,87
99,53
99,88
99,26
99,51
100,64
100,85
101,44
101,26
101,67
102,93
103,81
106,19
106,94
108,51
108,41
108,97
109,25
109,97
108,92
109,01
108,86
107,36
107,99
107,94
108,54
108,37
108,77
107,15
108,61
109,02
109,16
109,55

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=292946&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=292946&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292946&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
0.0197.24564772552940.129726607468864
0.0297.3143815286020.119669873081923
0.0397.38729634620270.126701033690029
0.0497.45683327053060.13705266516157
0.0597.5216600441420.141007974479824
0.0697.58170034959770.139512189959918
0.0797.63707874642120.137000714139905
0.0897.6883931635910.136678099716093
0.0997.73672502686790.139565440923054
0.197.78336153609790.145461608275978
0.1197.8295581321950.154537449659086
0.1297.8764607769180.166872635180419
0.1397.92512469567990.183054367240771
0.1497.97653053262550.203418313501072
0.1598.03154150121240.227548560513179
0.1698.09079879084080.254239380013731
0.1798.154590075010.2812052645557
0.1898.22274216906640.305876178429437
0.1998.29458450762450.325570341110558
0.298.36900894066740.338441941184712
0.2198.44462132851360.343570787697561
0.2298.5199523879780.341151853369631
0.2398.59367885927290.332581139907685
0.2498.66480586981380.320174161281332
0.2598.73277552388120.306516286607677
0.2698.79748872822970.293778327036076
0.2798.85924919210530.284098656607718
0.2898.91865424600660.278442132731027
0.2998.97646377616780.277221410693264
0.399.03347664677590.279984617790607
0.3199.09043611322130.286036310131412
0.3299.1479752487910.294364494687668
0.3399.20660320134260.304492197858419
0.3499.26672505018510.315894855058447
0.3599.32868299271340.328592757360988
0.3699.39280462194250.342570458221207
0.3799.45944477121140.358647598644519
0.3899.52901020607620.377163379412454
0.3999.60196067233940.39874501896827
0.499.67878478482060.423218911004151
0.4199.75995428661430.450763158346446
0.4299.8458646614890.480386666378774
0.4399.9367733275390.511062986994351
0.44100.0327481622470.541309862967322
0.45100.133638563390.569665045713926
0.46100.2390785462430.594862517100748
0.47100.3485267510530.615675383197404
0.48100.4613422824950.631878881987055
0.49100.5768889508140.643641558844488
0.5100.6946548722960.652068660680896
0.51100.8143706735820.658758389254592
0.52100.9361086627250.666357337216499
0.53101.0603477407580.67759404901466
0.54101.1879943314020.695043069175016
0.55101.3203572706330.721199922325074
0.56101.4590828413240.757703838446301
0.57101.6060629982030.805161536471418
0.58101.7633333920910.86357194571152
0.59101.9329767418520.932382635953344
0.6102.1170411949821.01059632636547
0.61102.3174737850441.09741390818613
0.62102.5360585868361.19175556540994
0.63102.7743412748871.29240640380306
0.64103.0335200678121.39779027155113
0.65103.3142897833441.50513172256687
0.66103.616640815181.61075567570739
0.67103.9396351522511.70918138890404
0.68104.2812013429061.79390496706752
0.69104.6380026316371.85758231221702
0.7105.0054314987241.89376700238299
0.71105.3777670415881.89677082161532
0.72105.748501472851.86339680584629
0.73106.1108056828691.79376118054531
0.74106.4580713631211.69075058845384
0.75106.7844481868221.56020194893347
0.76107.0852946656031.41021024009809
0.77107.3574801396251.24933444084256
0.78107.5995065546281.08651174189717
0.79107.8114524283370.929457095241371
0.8107.9947683562460.784417937191955
0.81108.1519682262460.655480331226567
0.82108.2862633200220.545084774701464
0.83108.4011825334550.453849193629993
0.84108.5002171871310.380731626934879
0.85108.5865270157630.323486293534936
0.86108.6627439541540.27875663420772
0.87108.7309071833150.243026866982553
0.88108.7925504884850.213135952355901
0.89108.8489386478860.187215234086621
0.9108.9014178907260.165090539307754
0.91108.9518196786340.148125385144734
0.92109.0028558091780.138929987940927
0.93109.0584790720050.14026770670698
0.94109.124241515590.153952285524312
0.95109.2076630440690.18046588997208
0.96109.3182068667690.219158977249251
0.97109.4649791923060.266923241341867
0.98109.6477223211270.319416393495921
0.99109.8383032828640.373187398023126

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.2456477255294 & 0.129726607468864 \tabularnewline
0.02 & 97.314381528602 & 0.119669873081923 \tabularnewline
0.03 & 97.3872963462027 & 0.126701033690029 \tabularnewline
0.04 & 97.4568332705306 & 0.13705266516157 \tabularnewline
0.05 & 97.521660044142 & 0.141007974479824 \tabularnewline
0.06 & 97.5817003495977 & 0.139512189959918 \tabularnewline
0.07 & 97.6370787464212 & 0.137000714139905 \tabularnewline
0.08 & 97.688393163591 & 0.136678099716093 \tabularnewline
0.09 & 97.7367250268679 & 0.139565440923054 \tabularnewline
0.1 & 97.7833615360979 & 0.145461608275978 \tabularnewline
0.11 & 97.829558132195 & 0.154537449659086 \tabularnewline
0.12 & 97.876460776918 & 0.166872635180419 \tabularnewline
0.13 & 97.9251246956799 & 0.183054367240771 \tabularnewline
0.14 & 97.9765305326255 & 0.203418313501072 \tabularnewline
0.15 & 98.0315415012124 & 0.227548560513179 \tabularnewline
0.16 & 98.0907987908408 & 0.254239380013731 \tabularnewline
0.17 & 98.15459007501 & 0.2812052645557 \tabularnewline
0.18 & 98.2227421690664 & 0.305876178429437 \tabularnewline
0.19 & 98.2945845076245 & 0.325570341110558 \tabularnewline
0.2 & 98.3690089406674 & 0.338441941184712 \tabularnewline
0.21 & 98.4446213285136 & 0.343570787697561 \tabularnewline
0.22 & 98.519952387978 & 0.341151853369631 \tabularnewline
0.23 & 98.5936788592729 & 0.332581139907685 \tabularnewline
0.24 & 98.6648058698138 & 0.320174161281332 \tabularnewline
0.25 & 98.7327755238812 & 0.306516286607677 \tabularnewline
0.26 & 98.7974887282297 & 0.293778327036076 \tabularnewline
0.27 & 98.8592491921053 & 0.284098656607718 \tabularnewline
0.28 & 98.9186542460066 & 0.278442132731027 \tabularnewline
0.29 & 98.9764637761678 & 0.277221410693264 \tabularnewline
0.3 & 99.0334766467759 & 0.279984617790607 \tabularnewline
0.31 & 99.0904361132213 & 0.286036310131412 \tabularnewline
0.32 & 99.147975248791 & 0.294364494687668 \tabularnewline
0.33 & 99.2066032013426 & 0.304492197858419 \tabularnewline
0.34 & 99.2667250501851 & 0.315894855058447 \tabularnewline
0.35 & 99.3286829927134 & 0.328592757360988 \tabularnewline
0.36 & 99.3928046219425 & 0.342570458221207 \tabularnewline
0.37 & 99.4594447712114 & 0.358647598644519 \tabularnewline
0.38 & 99.5290102060762 & 0.377163379412454 \tabularnewline
0.39 & 99.6019606723394 & 0.39874501896827 \tabularnewline
0.4 & 99.6787847848206 & 0.423218911004151 \tabularnewline
0.41 & 99.7599542866143 & 0.450763158346446 \tabularnewline
0.42 & 99.845864661489 & 0.480386666378774 \tabularnewline
0.43 & 99.936773327539 & 0.511062986994351 \tabularnewline
0.44 & 100.032748162247 & 0.541309862967322 \tabularnewline
0.45 & 100.13363856339 & 0.569665045713926 \tabularnewline
0.46 & 100.239078546243 & 0.594862517100748 \tabularnewline
0.47 & 100.348526751053 & 0.615675383197404 \tabularnewline
0.48 & 100.461342282495 & 0.631878881987055 \tabularnewline
0.49 & 100.576888950814 & 0.643641558844488 \tabularnewline
0.5 & 100.694654872296 & 0.652068660680896 \tabularnewline
0.51 & 100.814370673582 & 0.658758389254592 \tabularnewline
0.52 & 100.936108662725 & 0.666357337216499 \tabularnewline
0.53 & 101.060347740758 & 0.67759404901466 \tabularnewline
0.54 & 101.187994331402 & 0.695043069175016 \tabularnewline
0.55 & 101.320357270633 & 0.721199922325074 \tabularnewline
0.56 & 101.459082841324 & 0.757703838446301 \tabularnewline
0.57 & 101.606062998203 & 0.805161536471418 \tabularnewline
0.58 & 101.763333392091 & 0.86357194571152 \tabularnewline
0.59 & 101.932976741852 & 0.932382635953344 \tabularnewline
0.6 & 102.117041194982 & 1.01059632636547 \tabularnewline
0.61 & 102.317473785044 & 1.09741390818613 \tabularnewline
0.62 & 102.536058586836 & 1.19175556540994 \tabularnewline
0.63 & 102.774341274887 & 1.29240640380306 \tabularnewline
0.64 & 103.033520067812 & 1.39779027155113 \tabularnewline
0.65 & 103.314289783344 & 1.50513172256687 \tabularnewline
0.66 & 103.61664081518 & 1.61075567570739 \tabularnewline
0.67 & 103.939635152251 & 1.70918138890404 \tabularnewline
0.68 & 104.281201342906 & 1.79390496706752 \tabularnewline
0.69 & 104.638002631637 & 1.85758231221702 \tabularnewline
0.7 & 105.005431498724 & 1.89376700238299 \tabularnewline
0.71 & 105.377767041588 & 1.89677082161532 \tabularnewline
0.72 & 105.74850147285 & 1.86339680584629 \tabularnewline
0.73 & 106.110805682869 & 1.79376118054531 \tabularnewline
0.74 & 106.458071363121 & 1.69075058845384 \tabularnewline
0.75 & 106.784448186822 & 1.56020194893347 \tabularnewline
0.76 & 107.085294665603 & 1.41021024009809 \tabularnewline
0.77 & 107.357480139625 & 1.24933444084256 \tabularnewline
0.78 & 107.599506554628 & 1.08651174189717 \tabularnewline
0.79 & 107.811452428337 & 0.929457095241371 \tabularnewline
0.8 & 107.994768356246 & 0.784417937191955 \tabularnewline
0.81 & 108.151968226246 & 0.655480331226567 \tabularnewline
0.82 & 108.286263320022 & 0.545084774701464 \tabularnewline
0.83 & 108.401182533455 & 0.453849193629993 \tabularnewline
0.84 & 108.500217187131 & 0.380731626934879 \tabularnewline
0.85 & 108.586527015763 & 0.323486293534936 \tabularnewline
0.86 & 108.662743954154 & 0.27875663420772 \tabularnewline
0.87 & 108.730907183315 & 0.243026866982553 \tabularnewline
0.88 & 108.792550488485 & 0.213135952355901 \tabularnewline
0.89 & 108.848938647886 & 0.187215234086621 \tabularnewline
0.9 & 108.901417890726 & 0.165090539307754 \tabularnewline
0.91 & 108.951819678634 & 0.148125385144734 \tabularnewline
0.92 & 109.002855809178 & 0.138929987940927 \tabularnewline
0.93 & 109.058479072005 & 0.14026770670698 \tabularnewline
0.94 & 109.12424151559 & 0.153952285524312 \tabularnewline
0.95 & 109.207663044069 & 0.18046588997208 \tabularnewline
0.96 & 109.318206866769 & 0.219158977249251 \tabularnewline
0.97 & 109.464979192306 & 0.266923241341867 \tabularnewline
0.98 & 109.647722321127 & 0.319416393495921 \tabularnewline
0.99 & 109.838303282864 & 0.373187398023126 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292946&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]97.2456477255294[/C][C]0.129726607468864[/C][/ROW]
[ROW][C]0.02[/C][C]97.314381528602[/C][C]0.119669873081923[/C][/ROW]
[ROW][C]0.03[/C][C]97.3872963462027[/C][C]0.126701033690029[/C][/ROW]
[ROW][C]0.04[/C][C]97.4568332705306[/C][C]0.13705266516157[/C][/ROW]
[ROW][C]0.05[/C][C]97.521660044142[/C][C]0.141007974479824[/C][/ROW]
[ROW][C]0.06[/C][C]97.5817003495977[/C][C]0.139512189959918[/C][/ROW]
[ROW][C]0.07[/C][C]97.6370787464212[/C][C]0.137000714139905[/C][/ROW]
[ROW][C]0.08[/C][C]97.688393163591[/C][C]0.136678099716093[/C][/ROW]
[ROW][C]0.09[/C][C]97.7367250268679[/C][C]0.139565440923054[/C][/ROW]
[ROW][C]0.1[/C][C]97.7833615360979[/C][C]0.145461608275978[/C][/ROW]
[ROW][C]0.11[/C][C]97.829558132195[/C][C]0.154537449659086[/C][/ROW]
[ROW][C]0.12[/C][C]97.876460776918[/C][C]0.166872635180419[/C][/ROW]
[ROW][C]0.13[/C][C]97.9251246956799[/C][C]0.183054367240771[/C][/ROW]
[ROW][C]0.14[/C][C]97.9765305326255[/C][C]0.203418313501072[/C][/ROW]
[ROW][C]0.15[/C][C]98.0315415012124[/C][C]0.227548560513179[/C][/ROW]
[ROW][C]0.16[/C][C]98.0907987908408[/C][C]0.254239380013731[/C][/ROW]
[ROW][C]0.17[/C][C]98.15459007501[/C][C]0.2812052645557[/C][/ROW]
[ROW][C]0.18[/C][C]98.2227421690664[/C][C]0.305876178429437[/C][/ROW]
[ROW][C]0.19[/C][C]98.2945845076245[/C][C]0.325570341110558[/C][/ROW]
[ROW][C]0.2[/C][C]98.3690089406674[/C][C]0.338441941184712[/C][/ROW]
[ROW][C]0.21[/C][C]98.4446213285136[/C][C]0.343570787697561[/C][/ROW]
[ROW][C]0.22[/C][C]98.519952387978[/C][C]0.341151853369631[/C][/ROW]
[ROW][C]0.23[/C][C]98.5936788592729[/C][C]0.332581139907685[/C][/ROW]
[ROW][C]0.24[/C][C]98.6648058698138[/C][C]0.320174161281332[/C][/ROW]
[ROW][C]0.25[/C][C]98.7327755238812[/C][C]0.306516286607677[/C][/ROW]
[ROW][C]0.26[/C][C]98.7974887282297[/C][C]0.293778327036076[/C][/ROW]
[ROW][C]0.27[/C][C]98.8592491921053[/C][C]0.284098656607718[/C][/ROW]
[ROW][C]0.28[/C][C]98.9186542460066[/C][C]0.278442132731027[/C][/ROW]
[ROW][C]0.29[/C][C]98.9764637761678[/C][C]0.277221410693264[/C][/ROW]
[ROW][C]0.3[/C][C]99.0334766467759[/C][C]0.279984617790607[/C][/ROW]
[ROW][C]0.31[/C][C]99.0904361132213[/C][C]0.286036310131412[/C][/ROW]
[ROW][C]0.32[/C][C]99.147975248791[/C][C]0.294364494687668[/C][/ROW]
[ROW][C]0.33[/C][C]99.2066032013426[/C][C]0.304492197858419[/C][/ROW]
[ROW][C]0.34[/C][C]99.2667250501851[/C][C]0.315894855058447[/C][/ROW]
[ROW][C]0.35[/C][C]99.3286829927134[/C][C]0.328592757360988[/C][/ROW]
[ROW][C]0.36[/C][C]99.3928046219425[/C][C]0.342570458221207[/C][/ROW]
[ROW][C]0.37[/C][C]99.4594447712114[/C][C]0.358647598644519[/C][/ROW]
[ROW][C]0.38[/C][C]99.5290102060762[/C][C]0.377163379412454[/C][/ROW]
[ROW][C]0.39[/C][C]99.6019606723394[/C][C]0.39874501896827[/C][/ROW]
[ROW][C]0.4[/C][C]99.6787847848206[/C][C]0.423218911004151[/C][/ROW]
[ROW][C]0.41[/C][C]99.7599542866143[/C][C]0.450763158346446[/C][/ROW]
[ROW][C]0.42[/C][C]99.845864661489[/C][C]0.480386666378774[/C][/ROW]
[ROW][C]0.43[/C][C]99.936773327539[/C][C]0.511062986994351[/C][/ROW]
[ROW][C]0.44[/C][C]100.032748162247[/C][C]0.541309862967322[/C][/ROW]
[ROW][C]0.45[/C][C]100.13363856339[/C][C]0.569665045713926[/C][/ROW]
[ROW][C]0.46[/C][C]100.239078546243[/C][C]0.594862517100748[/C][/ROW]
[ROW][C]0.47[/C][C]100.348526751053[/C][C]0.615675383197404[/C][/ROW]
[ROW][C]0.48[/C][C]100.461342282495[/C][C]0.631878881987055[/C][/ROW]
[ROW][C]0.49[/C][C]100.576888950814[/C][C]0.643641558844488[/C][/ROW]
[ROW][C]0.5[/C][C]100.694654872296[/C][C]0.652068660680896[/C][/ROW]
[ROW][C]0.51[/C][C]100.814370673582[/C][C]0.658758389254592[/C][/ROW]
[ROW][C]0.52[/C][C]100.936108662725[/C][C]0.666357337216499[/C][/ROW]
[ROW][C]0.53[/C][C]101.060347740758[/C][C]0.67759404901466[/C][/ROW]
[ROW][C]0.54[/C][C]101.187994331402[/C][C]0.695043069175016[/C][/ROW]
[ROW][C]0.55[/C][C]101.320357270633[/C][C]0.721199922325074[/C][/ROW]
[ROW][C]0.56[/C][C]101.459082841324[/C][C]0.757703838446301[/C][/ROW]
[ROW][C]0.57[/C][C]101.606062998203[/C][C]0.805161536471418[/C][/ROW]
[ROW][C]0.58[/C][C]101.763333392091[/C][C]0.86357194571152[/C][/ROW]
[ROW][C]0.59[/C][C]101.932976741852[/C][C]0.932382635953344[/C][/ROW]
[ROW][C]0.6[/C][C]102.117041194982[/C][C]1.01059632636547[/C][/ROW]
[ROW][C]0.61[/C][C]102.317473785044[/C][C]1.09741390818613[/C][/ROW]
[ROW][C]0.62[/C][C]102.536058586836[/C][C]1.19175556540994[/C][/ROW]
[ROW][C]0.63[/C][C]102.774341274887[/C][C]1.29240640380306[/C][/ROW]
[ROW][C]0.64[/C][C]103.033520067812[/C][C]1.39779027155113[/C][/ROW]
[ROW][C]0.65[/C][C]103.314289783344[/C][C]1.50513172256687[/C][/ROW]
[ROW][C]0.66[/C][C]103.61664081518[/C][C]1.61075567570739[/C][/ROW]
[ROW][C]0.67[/C][C]103.939635152251[/C][C]1.70918138890404[/C][/ROW]
[ROW][C]0.68[/C][C]104.281201342906[/C][C]1.79390496706752[/C][/ROW]
[ROW][C]0.69[/C][C]104.638002631637[/C][C]1.85758231221702[/C][/ROW]
[ROW][C]0.7[/C][C]105.005431498724[/C][C]1.89376700238299[/C][/ROW]
[ROW][C]0.71[/C][C]105.377767041588[/C][C]1.89677082161532[/C][/ROW]
[ROW][C]0.72[/C][C]105.74850147285[/C][C]1.86339680584629[/C][/ROW]
[ROW][C]0.73[/C][C]106.110805682869[/C][C]1.79376118054531[/C][/ROW]
[ROW][C]0.74[/C][C]106.458071363121[/C][C]1.69075058845384[/C][/ROW]
[ROW][C]0.75[/C][C]106.784448186822[/C][C]1.56020194893347[/C][/ROW]
[ROW][C]0.76[/C][C]107.085294665603[/C][C]1.41021024009809[/C][/ROW]
[ROW][C]0.77[/C][C]107.357480139625[/C][C]1.24933444084256[/C][/ROW]
[ROW][C]0.78[/C][C]107.599506554628[/C][C]1.08651174189717[/C][/ROW]
[ROW][C]0.79[/C][C]107.811452428337[/C][C]0.929457095241371[/C][/ROW]
[ROW][C]0.8[/C][C]107.994768356246[/C][C]0.784417937191955[/C][/ROW]
[ROW][C]0.81[/C][C]108.151968226246[/C][C]0.655480331226567[/C][/ROW]
[ROW][C]0.82[/C][C]108.286263320022[/C][C]0.545084774701464[/C][/ROW]
[ROW][C]0.83[/C][C]108.401182533455[/C][C]0.453849193629993[/C][/ROW]
[ROW][C]0.84[/C][C]108.500217187131[/C][C]0.380731626934879[/C][/ROW]
[ROW][C]0.85[/C][C]108.586527015763[/C][C]0.323486293534936[/C][/ROW]
[ROW][C]0.86[/C][C]108.662743954154[/C][C]0.27875663420772[/C][/ROW]
[ROW][C]0.87[/C][C]108.730907183315[/C][C]0.243026866982553[/C][/ROW]
[ROW][C]0.88[/C][C]108.792550488485[/C][C]0.213135952355901[/C][/ROW]
[ROW][C]0.89[/C][C]108.848938647886[/C][C]0.187215234086621[/C][/ROW]
[ROW][C]0.9[/C][C]108.901417890726[/C][C]0.165090539307754[/C][/ROW]
[ROW][C]0.91[/C][C]108.951819678634[/C][C]0.148125385144734[/C][/ROW]
[ROW][C]0.92[/C][C]109.002855809178[/C][C]0.138929987940927[/C][/ROW]
[ROW][C]0.93[/C][C]109.058479072005[/C][C]0.14026770670698[/C][/ROW]
[ROW][C]0.94[/C][C]109.12424151559[/C][C]0.153952285524312[/C][/ROW]
[ROW][C]0.95[/C][C]109.207663044069[/C][C]0.18046588997208[/C][/ROW]
[ROW][C]0.96[/C][C]109.318206866769[/C][C]0.219158977249251[/C][/ROW]
[ROW][C]0.97[/C][C]109.464979192306[/C][C]0.266923241341867[/C][/ROW]
[ROW][C]0.98[/C][C]109.647722321127[/C][C]0.319416393495921[/C][/ROW]
[ROW][C]0.99[/C][C]109.838303282864[/C][C]0.373187398023126[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292946&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292946&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
0.0197.24564772552940.129726607468864
0.0297.3143815286020.119669873081923
0.0397.38729634620270.126701033690029
0.0497.45683327053060.13705266516157
0.0597.5216600441420.141007974479824
0.0697.58170034959770.139512189959918
0.0797.63707874642120.137000714139905
0.0897.6883931635910.136678099716093
0.0997.73672502686790.139565440923054
0.197.78336153609790.145461608275978
0.1197.8295581321950.154537449659086
0.1297.8764607769180.166872635180419
0.1397.92512469567990.183054367240771
0.1497.97653053262550.203418313501072
0.1598.03154150121240.227548560513179
0.1698.09079879084080.254239380013731
0.1798.154590075010.2812052645557
0.1898.22274216906640.305876178429437
0.1998.29458450762450.325570341110558
0.298.36900894066740.338441941184712
0.2198.44462132851360.343570787697561
0.2298.5199523879780.341151853369631
0.2398.59367885927290.332581139907685
0.2498.66480586981380.320174161281332
0.2598.73277552388120.306516286607677
0.2698.79748872822970.293778327036076
0.2798.85924919210530.284098656607718
0.2898.91865424600660.278442132731027
0.2998.97646377616780.277221410693264
0.399.03347664677590.279984617790607
0.3199.09043611322130.286036310131412
0.3299.1479752487910.294364494687668
0.3399.20660320134260.304492197858419
0.3499.26672505018510.315894855058447
0.3599.32868299271340.328592757360988
0.3699.39280462194250.342570458221207
0.3799.45944477121140.358647598644519
0.3899.52901020607620.377163379412454
0.3999.60196067233940.39874501896827
0.499.67878478482060.423218911004151
0.4199.75995428661430.450763158346446
0.4299.8458646614890.480386666378774
0.4399.9367733275390.511062986994351
0.44100.0327481622470.541309862967322
0.45100.133638563390.569665045713926
0.46100.2390785462430.594862517100748
0.47100.3485267510530.615675383197404
0.48100.4613422824950.631878881987055
0.49100.5768889508140.643641558844488
0.5100.6946548722960.652068660680896
0.51100.8143706735820.658758389254592
0.52100.9361086627250.666357337216499
0.53101.0603477407580.67759404901466
0.54101.1879943314020.695043069175016
0.55101.3203572706330.721199922325074
0.56101.4590828413240.757703838446301
0.57101.6060629982030.805161536471418
0.58101.7633333920910.86357194571152
0.59101.9329767418520.932382635953344
0.6102.1170411949821.01059632636547
0.61102.3174737850441.09741390818613
0.62102.5360585868361.19175556540994
0.63102.7743412748871.29240640380306
0.64103.0335200678121.39779027155113
0.65103.3142897833441.50513172256687
0.66103.616640815181.61075567570739
0.67103.9396351522511.70918138890404
0.68104.2812013429061.79390496706752
0.69104.6380026316371.85758231221702
0.7105.0054314987241.89376700238299
0.71105.3777670415881.89677082161532
0.72105.748501472851.86339680584629
0.73106.1108056828691.79376118054531
0.74106.4580713631211.69075058845384
0.75106.7844481868221.56020194893347
0.76107.0852946656031.41021024009809
0.77107.3574801396251.24933444084256
0.78107.5995065546281.08651174189717
0.79107.8114524283370.929457095241371
0.8107.9947683562460.784417937191955
0.81108.1519682262460.655480331226567
0.82108.2862633200220.545084774701464
0.83108.4011825334550.453849193629993
0.84108.5002171871310.380731626934879
0.85108.5865270157630.323486293534936
0.86108.6627439541540.27875663420772
0.87108.7309071833150.243026866982553
0.88108.7925504884850.213135952355901
0.89108.8489386478860.187215234086621
0.9108.9014178907260.165090539307754
0.91108.9518196786340.148125385144734
0.92109.0028558091780.138929987940927
0.93109.0584790720050.14026770670698
0.94109.124241515590.153952285524312
0.95109.2076630440690.18046588997208
0.96109.3182068667690.219158977249251
0.97109.4649791923060.266923241341867
0.98109.6477223211270.319416393495921
0.99109.8383032828640.373187398023126


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')