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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 computationThu, 25 Feb 2016 13:55:58 +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/25/t1456408675q3xyoz98g8sggys.htm/, Retrieved Thu, 02 May 2024 21:52:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292689, Retrieved Thu, 02 May 2024 21:52:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

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] [] [2016-02-25 13:55:58] [55e0f811d0de406b35493d0ca672d497] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83.61
83.89
83.4
82.96
82.76
83.35
87.78
88.99
88.92
88.91
89.79
90.54
93.15
92.79
93.21
95.35
100.91
103.69
104.04
104.16
104.71
105.18
104.92
104.83
104.9
105.05
104.6
103.21
102.52
101.09
101.19
102.34
102.62
102.47
101.82
101.86
101.54
101.98
101.23
100.4
99.94
99.94
100
98.8
99.07
99.46
99.18
98.47
97.12
96.91
96.09
97.17
96.8
97.13
99.9
100.56
100.84
99.81
100.44
100.07
101.32
103.98
104.81
106.23
106.48
107.59
107.16
107.54
107.1
106.38
106.64
106.13

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292689&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292689&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292689&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0182.84801028996420.241024031676699
0.0283.00796360198330.336687045497745
0.0383.22697811759380.511659858847885
0.0483.51523321704180.813650796467638
0.0583.89820406378321.23000431499503
0.0684.39578094647011.68436075806251
0.0785.00678194490092.07963122258858
0.0885.70637708065582.34295061514946
0.0986.45502253719782.45226464038857
0.187.21227768905342.43818467638836
0.1187.94834222847642.36340414751363
0.1288.6491678492432.29329103009781
0.1389.31496428024022.27032568633573
0.1489.95463483651162.30341675910017
0.1590.57936827084532.37453650658055
0.1691.19776030639752.45560185205334
0.1791.81341876252672.52068444929592
0.1892.42482603555832.55221298823797
0.1993.02663812505212.54158571661779
0.293.61153956161522.4876512198154
0.2194.17201245254042.39517374554569
0.2294.70168328632872.27249485317625
0.2395.19614740195822.13038957730976
0.2495.65330324338331.97996470125951
0.2596.07328215897031.83234050503834
0.2696.4580753307281.69614197488338
0.2796.81096552158681.57688017303628
0.2897.13587595859041.47675321451772
0.2997.43674687597141.39385706848089
0.397.71703467059231.32394676177458
0.3197.97939729437851.26136449080367
0.3298.22558784474721.2008475361418
0.3398.45653640541611.13849748429681
0.3498.67256813807391.07233741012122
0.3598.87368968400381.00188318066095
0.3699.05987694510720.928905816209225
0.3799.23131148561190.855546009721897
0.3899.38853390659230.784794192528326
0.3999.53250435100740.719440049342383
0.499.66457823787240.662089539658508
0.4199.78641716643770.614407599068822
0.4299.89986048817940.577237797107092
0.43100.0067834076550.550546894218787
0.44100.108964202670.533373266305425
0.45100.2079777183020.524046173358245
0.46100.3051258366490.520658787160613
0.47100.4014090031010.521307308365973
0.48100.4975367677370.52417771747022
0.49100.5939702566710.527959494804653
0.5100.6909860207250.531922655211042
0.51100.7887491659110.535974800826705
0.52100.8873841526880.539970626801229
0.53100.9870339446610.544477800414493
0.54101.0879017590840.55006082187477
0.55101.1902737435890.557215847342862
0.56101.2945245952070.566500987567956
0.57101.4011106473410.578300281436591
0.58101.5105557437490.592901687372978
0.59101.6234341806840.610119317574018
0.6101.740352506940.630263510693913
0.61101.8619288567050.653425685183545
0.62101.9887658614020.679071939859453
0.63102.1214121449910.707305889594225
0.64102.2603086954910.737344283744638
0.65102.4057200989570.76834204463619
0.66102.5576559735740.79854008450902
0.67102.7157934838610.826026288211282
0.68102.8794157500150.848601932703187
0.69103.0473817638490.863806934132464
0.7103.2181404272350.869512701422419
0.71103.3897951345260.864141805062422
0.72103.5602176728130.846940856291448
0.73103.7272033947740.817848893662211
0.74103.8886554773110.778261401171185
0.75104.0427850930540.730090384638897
0.76104.18831514540.676100145149974
0.77104.3246750590370.619725206293287
0.78104.4521699946490.565204223820513
0.79104.5720984293110.517135924167746
0.8104.686779404110.480560923314036
0.81104.7994413362090.460303053977618
0.82104.9139281226620.459443302538258
0.83105.0342056438220.478094510745699
0.84105.1637076192720.511819075457102
0.85105.3046366612240.552436562022149
0.86105.4574096411910.58995940371937
0.87105.6204661934750.614598053878001
0.88105.7906035315840.619356300240728
0.89105.9638414225860.60234081367116
0.9106.1365923960340.56747311397246
0.91106.3067143011630.523628058234638
0.92106.4739908908230.481127560682587
0.93106.6397980201390.446538146296792
0.94106.8060604151520.41917892865665
0.95106.9737780017840.393095746796856
0.96107.1411913316580.361554835923675
0.97107.3015065575840.31576282347099
0.98107.4411228716660.240868759049272
0.99107.54168293890.134331148912778

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 82.8480102899642 & 0.241024031676699 \tabularnewline
0.02 & 83.0079636019833 & 0.336687045497745 \tabularnewline
0.03 & 83.2269781175938 & 0.511659858847885 \tabularnewline
0.04 & 83.5152332170418 & 0.813650796467638 \tabularnewline
0.05 & 83.8982040637832 & 1.23000431499503 \tabularnewline
0.06 & 84.3957809464701 & 1.68436075806251 \tabularnewline
0.07 & 85.0067819449009 & 2.07963122258858 \tabularnewline
0.08 & 85.7063770806558 & 2.34295061514946 \tabularnewline
0.09 & 86.4550225371978 & 2.45226464038857 \tabularnewline
0.1 & 87.2122776890534 & 2.43818467638836 \tabularnewline
0.11 & 87.9483422284764 & 2.36340414751363 \tabularnewline
0.12 & 88.649167849243 & 2.29329103009781 \tabularnewline
0.13 & 89.3149642802402 & 2.27032568633573 \tabularnewline
0.14 & 89.9546348365116 & 2.30341675910017 \tabularnewline
0.15 & 90.5793682708453 & 2.37453650658055 \tabularnewline
0.16 & 91.1977603063975 & 2.45560185205334 \tabularnewline
0.17 & 91.8134187625267 & 2.52068444929592 \tabularnewline
0.18 & 92.4248260355583 & 2.55221298823797 \tabularnewline
0.19 & 93.0266381250521 & 2.54158571661779 \tabularnewline
0.2 & 93.6115395616152 & 2.4876512198154 \tabularnewline
0.21 & 94.1720124525404 & 2.39517374554569 \tabularnewline
0.22 & 94.7016832863287 & 2.27249485317625 \tabularnewline
0.23 & 95.1961474019582 & 2.13038957730976 \tabularnewline
0.24 & 95.6533032433833 & 1.97996470125951 \tabularnewline
0.25 & 96.0732821589703 & 1.83234050503834 \tabularnewline
0.26 & 96.458075330728 & 1.69614197488338 \tabularnewline
0.27 & 96.8109655215868 & 1.57688017303628 \tabularnewline
0.28 & 97.1358759585904 & 1.47675321451772 \tabularnewline
0.29 & 97.4367468759714 & 1.39385706848089 \tabularnewline
0.3 & 97.7170346705923 & 1.32394676177458 \tabularnewline
0.31 & 97.9793972943785 & 1.26136449080367 \tabularnewline
0.32 & 98.2255878447472 & 1.2008475361418 \tabularnewline
0.33 & 98.4565364054161 & 1.13849748429681 \tabularnewline
0.34 & 98.6725681380739 & 1.07233741012122 \tabularnewline
0.35 & 98.8736896840038 & 1.00188318066095 \tabularnewline
0.36 & 99.0598769451072 & 0.928905816209225 \tabularnewline
0.37 & 99.2313114856119 & 0.855546009721897 \tabularnewline
0.38 & 99.3885339065923 & 0.784794192528326 \tabularnewline
0.39 & 99.5325043510074 & 0.719440049342383 \tabularnewline
0.4 & 99.6645782378724 & 0.662089539658508 \tabularnewline
0.41 & 99.7864171664377 & 0.614407599068822 \tabularnewline
0.42 & 99.8998604881794 & 0.577237797107092 \tabularnewline
0.43 & 100.006783407655 & 0.550546894218787 \tabularnewline
0.44 & 100.10896420267 & 0.533373266305425 \tabularnewline
0.45 & 100.207977718302 & 0.524046173358245 \tabularnewline
0.46 & 100.305125836649 & 0.520658787160613 \tabularnewline
0.47 & 100.401409003101 & 0.521307308365973 \tabularnewline
0.48 & 100.497536767737 & 0.52417771747022 \tabularnewline
0.49 & 100.593970256671 & 0.527959494804653 \tabularnewline
0.5 & 100.690986020725 & 0.531922655211042 \tabularnewline
0.51 & 100.788749165911 & 0.535974800826705 \tabularnewline
0.52 & 100.887384152688 & 0.539970626801229 \tabularnewline
0.53 & 100.987033944661 & 0.544477800414493 \tabularnewline
0.54 & 101.087901759084 & 0.55006082187477 \tabularnewline
0.55 & 101.190273743589 & 0.557215847342862 \tabularnewline
0.56 & 101.294524595207 & 0.566500987567956 \tabularnewline
0.57 & 101.401110647341 & 0.578300281436591 \tabularnewline
0.58 & 101.510555743749 & 0.592901687372978 \tabularnewline
0.59 & 101.623434180684 & 0.610119317574018 \tabularnewline
0.6 & 101.74035250694 & 0.630263510693913 \tabularnewline
0.61 & 101.861928856705 & 0.653425685183545 \tabularnewline
0.62 & 101.988765861402 & 0.679071939859453 \tabularnewline
0.63 & 102.121412144991 & 0.707305889594225 \tabularnewline
0.64 & 102.260308695491 & 0.737344283744638 \tabularnewline
0.65 & 102.405720098957 & 0.76834204463619 \tabularnewline
0.66 & 102.557655973574 & 0.79854008450902 \tabularnewline
0.67 & 102.715793483861 & 0.826026288211282 \tabularnewline
0.68 & 102.879415750015 & 0.848601932703187 \tabularnewline
0.69 & 103.047381763849 & 0.863806934132464 \tabularnewline
0.7 & 103.218140427235 & 0.869512701422419 \tabularnewline
0.71 & 103.389795134526 & 0.864141805062422 \tabularnewline
0.72 & 103.560217672813 & 0.846940856291448 \tabularnewline
0.73 & 103.727203394774 & 0.817848893662211 \tabularnewline
0.74 & 103.888655477311 & 0.778261401171185 \tabularnewline
0.75 & 104.042785093054 & 0.730090384638897 \tabularnewline
0.76 & 104.1883151454 & 0.676100145149974 \tabularnewline
0.77 & 104.324675059037 & 0.619725206293287 \tabularnewline
0.78 & 104.452169994649 & 0.565204223820513 \tabularnewline
0.79 & 104.572098429311 & 0.517135924167746 \tabularnewline
0.8 & 104.68677940411 & 0.480560923314036 \tabularnewline
0.81 & 104.799441336209 & 0.460303053977618 \tabularnewline
0.82 & 104.913928122662 & 0.459443302538258 \tabularnewline
0.83 & 105.034205643822 & 0.478094510745699 \tabularnewline
0.84 & 105.163707619272 & 0.511819075457102 \tabularnewline
0.85 & 105.304636661224 & 0.552436562022149 \tabularnewline
0.86 & 105.457409641191 & 0.58995940371937 \tabularnewline
0.87 & 105.620466193475 & 0.614598053878001 \tabularnewline
0.88 & 105.790603531584 & 0.619356300240728 \tabularnewline
0.89 & 105.963841422586 & 0.60234081367116 \tabularnewline
0.9 & 106.136592396034 & 0.56747311397246 \tabularnewline
0.91 & 106.306714301163 & 0.523628058234638 \tabularnewline
0.92 & 106.473990890823 & 0.481127560682587 \tabularnewline
0.93 & 106.639798020139 & 0.446538146296792 \tabularnewline
0.94 & 106.806060415152 & 0.41917892865665 \tabularnewline
0.95 & 106.973778001784 & 0.393095746796856 \tabularnewline
0.96 & 107.141191331658 & 0.361554835923675 \tabularnewline
0.97 & 107.301506557584 & 0.31576282347099 \tabularnewline
0.98 & 107.441122871666 & 0.240868759049272 \tabularnewline
0.99 & 107.5416829389 & 0.134331148912778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292689&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]82.8480102899642[/C][C]0.241024031676699[/C][/ROW]
[ROW][C]0.02[/C][C]83.0079636019833[/C][C]0.336687045497745[/C][/ROW]
[ROW][C]0.03[/C][C]83.2269781175938[/C][C]0.511659858847885[/C][/ROW]
[ROW][C]0.04[/C][C]83.5152332170418[/C][C]0.813650796467638[/C][/ROW]
[ROW][C]0.05[/C][C]83.8982040637832[/C][C]1.23000431499503[/C][/ROW]
[ROW][C]0.06[/C][C]84.3957809464701[/C][C]1.68436075806251[/C][/ROW]
[ROW][C]0.07[/C][C]85.0067819449009[/C][C]2.07963122258858[/C][/ROW]
[ROW][C]0.08[/C][C]85.7063770806558[/C][C]2.34295061514946[/C][/ROW]
[ROW][C]0.09[/C][C]86.4550225371978[/C][C]2.45226464038857[/C][/ROW]
[ROW][C]0.1[/C][C]87.2122776890534[/C][C]2.43818467638836[/C][/ROW]
[ROW][C]0.11[/C][C]87.9483422284764[/C][C]2.36340414751363[/C][/ROW]
[ROW][C]0.12[/C][C]88.649167849243[/C][C]2.29329103009781[/C][/ROW]
[ROW][C]0.13[/C][C]89.3149642802402[/C][C]2.27032568633573[/C][/ROW]
[ROW][C]0.14[/C][C]89.9546348365116[/C][C]2.30341675910017[/C][/ROW]
[ROW][C]0.15[/C][C]90.5793682708453[/C][C]2.37453650658055[/C][/ROW]
[ROW][C]0.16[/C][C]91.1977603063975[/C][C]2.45560185205334[/C][/ROW]
[ROW][C]0.17[/C][C]91.8134187625267[/C][C]2.52068444929592[/C][/ROW]
[ROW][C]0.18[/C][C]92.4248260355583[/C][C]2.55221298823797[/C][/ROW]
[ROW][C]0.19[/C][C]93.0266381250521[/C][C]2.54158571661779[/C][/ROW]
[ROW][C]0.2[/C][C]93.6115395616152[/C][C]2.4876512198154[/C][/ROW]
[ROW][C]0.21[/C][C]94.1720124525404[/C][C]2.39517374554569[/C][/ROW]
[ROW][C]0.22[/C][C]94.7016832863287[/C][C]2.27249485317625[/C][/ROW]
[ROW][C]0.23[/C][C]95.1961474019582[/C][C]2.13038957730976[/C][/ROW]
[ROW][C]0.24[/C][C]95.6533032433833[/C][C]1.97996470125951[/C][/ROW]
[ROW][C]0.25[/C][C]96.0732821589703[/C][C]1.83234050503834[/C][/ROW]
[ROW][C]0.26[/C][C]96.458075330728[/C][C]1.69614197488338[/C][/ROW]
[ROW][C]0.27[/C][C]96.8109655215868[/C][C]1.57688017303628[/C][/ROW]
[ROW][C]0.28[/C][C]97.1358759585904[/C][C]1.47675321451772[/C][/ROW]
[ROW][C]0.29[/C][C]97.4367468759714[/C][C]1.39385706848089[/C][/ROW]
[ROW][C]0.3[/C][C]97.7170346705923[/C][C]1.32394676177458[/C][/ROW]
[ROW][C]0.31[/C][C]97.9793972943785[/C][C]1.26136449080367[/C][/ROW]
[ROW][C]0.32[/C][C]98.2255878447472[/C][C]1.2008475361418[/C][/ROW]
[ROW][C]0.33[/C][C]98.4565364054161[/C][C]1.13849748429681[/C][/ROW]
[ROW][C]0.34[/C][C]98.6725681380739[/C][C]1.07233741012122[/C][/ROW]
[ROW][C]0.35[/C][C]98.8736896840038[/C][C]1.00188318066095[/C][/ROW]
[ROW][C]0.36[/C][C]99.0598769451072[/C][C]0.928905816209225[/C][/ROW]
[ROW][C]0.37[/C][C]99.2313114856119[/C][C]0.855546009721897[/C][/ROW]
[ROW][C]0.38[/C][C]99.3885339065923[/C][C]0.784794192528326[/C][/ROW]
[ROW][C]0.39[/C][C]99.5325043510074[/C][C]0.719440049342383[/C][/ROW]
[ROW][C]0.4[/C][C]99.6645782378724[/C][C]0.662089539658508[/C][/ROW]
[ROW][C]0.41[/C][C]99.7864171664377[/C][C]0.614407599068822[/C][/ROW]
[ROW][C]0.42[/C][C]99.8998604881794[/C][C]0.577237797107092[/C][/ROW]
[ROW][C]0.43[/C][C]100.006783407655[/C][C]0.550546894218787[/C][/ROW]
[ROW][C]0.44[/C][C]100.10896420267[/C][C]0.533373266305425[/C][/ROW]
[ROW][C]0.45[/C][C]100.207977718302[/C][C]0.524046173358245[/C][/ROW]
[ROW][C]0.46[/C][C]100.305125836649[/C][C]0.520658787160613[/C][/ROW]
[ROW][C]0.47[/C][C]100.401409003101[/C][C]0.521307308365973[/C][/ROW]
[ROW][C]0.48[/C][C]100.497536767737[/C][C]0.52417771747022[/C][/ROW]
[ROW][C]0.49[/C][C]100.593970256671[/C][C]0.527959494804653[/C][/ROW]
[ROW][C]0.5[/C][C]100.690986020725[/C][C]0.531922655211042[/C][/ROW]
[ROW][C]0.51[/C][C]100.788749165911[/C][C]0.535974800826705[/C][/ROW]
[ROW][C]0.52[/C][C]100.887384152688[/C][C]0.539970626801229[/C][/ROW]
[ROW][C]0.53[/C][C]100.987033944661[/C][C]0.544477800414493[/C][/ROW]
[ROW][C]0.54[/C][C]101.087901759084[/C][C]0.55006082187477[/C][/ROW]
[ROW][C]0.55[/C][C]101.190273743589[/C][C]0.557215847342862[/C][/ROW]
[ROW][C]0.56[/C][C]101.294524595207[/C][C]0.566500987567956[/C][/ROW]
[ROW][C]0.57[/C][C]101.401110647341[/C][C]0.578300281436591[/C][/ROW]
[ROW][C]0.58[/C][C]101.510555743749[/C][C]0.592901687372978[/C][/ROW]
[ROW][C]0.59[/C][C]101.623434180684[/C][C]0.610119317574018[/C][/ROW]
[ROW][C]0.6[/C][C]101.74035250694[/C][C]0.630263510693913[/C][/ROW]
[ROW][C]0.61[/C][C]101.861928856705[/C][C]0.653425685183545[/C][/ROW]
[ROW][C]0.62[/C][C]101.988765861402[/C][C]0.679071939859453[/C][/ROW]
[ROW][C]0.63[/C][C]102.121412144991[/C][C]0.707305889594225[/C][/ROW]
[ROW][C]0.64[/C][C]102.260308695491[/C][C]0.737344283744638[/C][/ROW]
[ROW][C]0.65[/C][C]102.405720098957[/C][C]0.76834204463619[/C][/ROW]
[ROW][C]0.66[/C][C]102.557655973574[/C][C]0.79854008450902[/C][/ROW]
[ROW][C]0.67[/C][C]102.715793483861[/C][C]0.826026288211282[/C][/ROW]
[ROW][C]0.68[/C][C]102.879415750015[/C][C]0.848601932703187[/C][/ROW]
[ROW][C]0.69[/C][C]103.047381763849[/C][C]0.863806934132464[/C][/ROW]
[ROW][C]0.7[/C][C]103.218140427235[/C][C]0.869512701422419[/C][/ROW]
[ROW][C]0.71[/C][C]103.389795134526[/C][C]0.864141805062422[/C][/ROW]
[ROW][C]0.72[/C][C]103.560217672813[/C][C]0.846940856291448[/C][/ROW]
[ROW][C]0.73[/C][C]103.727203394774[/C][C]0.817848893662211[/C][/ROW]
[ROW][C]0.74[/C][C]103.888655477311[/C][C]0.778261401171185[/C][/ROW]
[ROW][C]0.75[/C][C]104.042785093054[/C][C]0.730090384638897[/C][/ROW]
[ROW][C]0.76[/C][C]104.1883151454[/C][C]0.676100145149974[/C][/ROW]
[ROW][C]0.77[/C][C]104.324675059037[/C][C]0.619725206293287[/C][/ROW]
[ROW][C]0.78[/C][C]104.452169994649[/C][C]0.565204223820513[/C][/ROW]
[ROW][C]0.79[/C][C]104.572098429311[/C][C]0.517135924167746[/C][/ROW]
[ROW][C]0.8[/C][C]104.68677940411[/C][C]0.480560923314036[/C][/ROW]
[ROW][C]0.81[/C][C]104.799441336209[/C][C]0.460303053977618[/C][/ROW]
[ROW][C]0.82[/C][C]104.913928122662[/C][C]0.459443302538258[/C][/ROW]
[ROW][C]0.83[/C][C]105.034205643822[/C][C]0.478094510745699[/C][/ROW]
[ROW][C]0.84[/C][C]105.163707619272[/C][C]0.511819075457102[/C][/ROW]
[ROW][C]0.85[/C][C]105.304636661224[/C][C]0.552436562022149[/C][/ROW]
[ROW][C]0.86[/C][C]105.457409641191[/C][C]0.58995940371937[/C][/ROW]
[ROW][C]0.87[/C][C]105.620466193475[/C][C]0.614598053878001[/C][/ROW]
[ROW][C]0.88[/C][C]105.790603531584[/C][C]0.619356300240728[/C][/ROW]
[ROW][C]0.89[/C][C]105.963841422586[/C][C]0.60234081367116[/C][/ROW]
[ROW][C]0.9[/C][C]106.136592396034[/C][C]0.56747311397246[/C][/ROW]
[ROW][C]0.91[/C][C]106.306714301163[/C][C]0.523628058234638[/C][/ROW]
[ROW][C]0.92[/C][C]106.473990890823[/C][C]0.481127560682587[/C][/ROW]
[ROW][C]0.93[/C][C]106.639798020139[/C][C]0.446538146296792[/C][/ROW]
[ROW][C]0.94[/C][C]106.806060415152[/C][C]0.41917892865665[/C][/ROW]
[ROW][C]0.95[/C][C]106.973778001784[/C][C]0.393095746796856[/C][/ROW]
[ROW][C]0.96[/C][C]107.141191331658[/C][C]0.361554835923675[/C][/ROW]
[ROW][C]0.97[/C][C]107.301506557584[/C][C]0.31576282347099[/C][/ROW]
[ROW][C]0.98[/C][C]107.441122871666[/C][C]0.240868759049272[/C][/ROW]
[ROW][C]0.99[/C][C]107.5416829389[/C][C]0.134331148912778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292689&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292689&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
0.0182.84801028996420.241024031676699
0.0283.00796360198330.336687045497745
0.0383.22697811759380.511659858847885
0.0483.51523321704180.813650796467638
0.0583.89820406378321.23000431499503
0.0684.39578094647011.68436075806251
0.0785.00678194490092.07963122258858
0.0885.70637708065582.34295061514946
0.0986.45502253719782.45226464038857
0.187.21227768905342.43818467638836
0.1187.94834222847642.36340414751363
0.1288.6491678492432.29329103009781
0.1389.31496428024022.27032568633573
0.1489.95463483651162.30341675910017
0.1590.57936827084532.37453650658055
0.1691.19776030639752.45560185205334
0.1791.81341876252672.52068444929592
0.1892.42482603555832.55221298823797
0.1993.02663812505212.54158571661779
0.293.61153956161522.4876512198154
0.2194.17201245254042.39517374554569
0.2294.70168328632872.27249485317625
0.2395.19614740195822.13038957730976
0.2495.65330324338331.97996470125951
0.2596.07328215897031.83234050503834
0.2696.4580753307281.69614197488338
0.2796.81096552158681.57688017303628
0.2897.13587595859041.47675321451772
0.2997.43674687597141.39385706848089
0.397.71703467059231.32394676177458
0.3197.97939729437851.26136449080367
0.3298.22558784474721.2008475361418
0.3398.45653640541611.13849748429681
0.3498.67256813807391.07233741012122
0.3598.87368968400381.00188318066095
0.3699.05987694510720.928905816209225
0.3799.23131148561190.855546009721897
0.3899.38853390659230.784794192528326
0.3999.53250435100740.719440049342383
0.499.66457823787240.662089539658508
0.4199.78641716643770.614407599068822
0.4299.89986048817940.577237797107092
0.43100.0067834076550.550546894218787
0.44100.108964202670.533373266305425
0.45100.2079777183020.524046173358245
0.46100.3051258366490.520658787160613
0.47100.4014090031010.521307308365973
0.48100.4975367677370.52417771747022
0.49100.5939702566710.527959494804653
0.5100.6909860207250.531922655211042
0.51100.7887491659110.535974800826705
0.52100.8873841526880.539970626801229
0.53100.9870339446610.544477800414493
0.54101.0879017590840.55006082187477
0.55101.1902737435890.557215847342862
0.56101.2945245952070.566500987567956
0.57101.4011106473410.578300281436591
0.58101.5105557437490.592901687372978
0.59101.6234341806840.610119317574018
0.6101.740352506940.630263510693913
0.61101.8619288567050.653425685183545
0.62101.9887658614020.679071939859453
0.63102.1214121449910.707305889594225
0.64102.2603086954910.737344283744638
0.65102.4057200989570.76834204463619
0.66102.5576559735740.79854008450902
0.67102.7157934838610.826026288211282
0.68102.8794157500150.848601932703187
0.69103.0473817638490.863806934132464
0.7103.2181404272350.869512701422419
0.71103.3897951345260.864141805062422
0.72103.5602176728130.846940856291448
0.73103.7272033947740.817848893662211
0.74103.8886554773110.778261401171185
0.75104.0427850930540.730090384638897
0.76104.18831514540.676100145149974
0.77104.3246750590370.619725206293287
0.78104.4521699946490.565204223820513
0.79104.5720984293110.517135924167746
0.8104.686779404110.480560923314036
0.81104.7994413362090.460303053977618
0.82104.9139281226620.459443302538258
0.83105.0342056438220.478094510745699
0.84105.1637076192720.511819075457102
0.85105.3046366612240.552436562022149
0.86105.4574096411910.58995940371937
0.87105.6204661934750.614598053878001
0.88105.7906035315840.619356300240728
0.89105.9638414225860.60234081367116
0.9106.1365923960340.56747311397246
0.91106.3067143011630.523628058234638
0.92106.4739908908230.481127560682587
0.93106.6397980201390.446538146296792
0.94106.8060604151520.41917892865665
0.95106.9737780017840.393095746796856
0.96107.1411913316580.361554835923675
0.97107.3015065575840.31576282347099
0.98107.4411228716660.240868759049272
0.99107.54168293890.134331148912778


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')