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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 02 Nov 2010 17:28:29 +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/2010/Nov/02/t1288718799t8tpcq7e95ta7y9.htm/, Retrieved Sat, 27 Apr 2024 18:15:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=91891, Retrieved Sat, 27 Apr 2024 18:15:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [Golfballs] [2010-10-25 12:43:22] [b98453cac15ba1066b407e146608df68]
- RMPD  [Harrell-Davis Quantiles] [Q1-W5] [2010-11-01 11:49:45] [3074aa973ede76ac75d398946b01602f]
-           [Harrell-Davis Quantiles] [] [2010-11-02 17:28:29] [a8abc7260f3c847aeac0a796e7895a2e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10
10
10.07
10.07
9.93
9.93
9.93
9.93
9.93
9.93
9.93
9.93
9.93
9.93
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
9.93
9.93
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
9.93
10.07
10.08
10.14
10.14
10.14
10.14
10.14
10.08
10.08
10.14
10.14
10.14
10.14
10.14
10.08
10.14
10.08
10.08
10.08
10.08
10.08
10.14
10.14
10.08
10.08
10.14
10.14
10.14
10.14
10.14
10.08
10.08
10.08
10.08
10.08
10.14
10.14
10.14
10.14
10.14
10.45
10.45
10.51
10.51
10.51
10.51
10.51
10.45
10.45
10.45
10.51
10.45
10.51
10.8
10.8
10.8
10.8
10.9
10.9
10.9
10.8
10.8
10.9
10.9
10.8
10.8
10.8
10.9
11.2
11.2
11.2
11.2
11.2
11.28
11.28
11.2
11.2
11.28
11.2
11.28
11.28
11.28
11.28
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.28
11.28
11.2
11.2
11.2
11.2
11.28
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.28
11.28
11.28
11.28
11.28
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.28
11.28
11.28
11.28
11.28
11.28
11.28
11.28
11.2
11.2
11.28
11.2
11.28
11.28
11.2
11.2
11.2
11.28
11.28
11.28
11.28
11.2
11.2
11.2
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.37
11.37
11.43
11.37
11.37
11.37
11.37
11.37
11.43
11.43
11.37
11.37
11.37
11.43
11.43
11.37
11.37
11.43
11.37
11.37
11.37
11.37
11.37
11.43
11.43
11.43
11.43
11.43
11.43
11.37
11.37
11.37
11.43
11.43
11.37
11.43
11.43
11.43
11.43
11.37
11.43
11.43
11.37
11.37
11.37
11.37
11.43
11.43
11.51
11.51
11.67
11.67
11.67
11.67
11.67
11.67
11.67
11.67
11.67
11.75
11.67
11.67
11.67
11.67
11.67
11.75
11.75
11.67
11.75
11.75
11.75
11.67
11.67
11.67
11.73
11.73
11.73
11.73
11.73
11.73
11.73
11.81
11.73
11.73
11.73
11.73
11.81
11.81
11.81
11.81
11.81
11.81
11.95
11.95
11.95
11.95
11.95
11.95
11.95
12.24
12.24
12.34
12.34
12.34
12.34
12.24
12.24
12.24
12.34
12.34
12.24
12.72
12.72
12.72
12.72
12.8
12.8
12.8
12.8
12.8
12.72
12.8
12.8
12.8
12.72
12.72
12.72
12.72
12.72
12.72
12.88
12.88
12.88
12.96
12.96
12.96
13.04
13.04
13.04
12.96
12.96
12.96
12.96
12.96
13.1
13.02
13.02
13.02
13.02
13.02
13.1
13.1
13.1
13.1
13.1
13.1
13.1
13.41
13.41
13.47
13.47
13.62
13.72
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.72
13.72
13.72
13.72
13.72
13.72
13.72
13.72
13.72
13.72
13.62
13.62
13.72
13.72
13.72
13.72
13.62
13.99
13.99
13.99
14.07
13.99
14.07
14.07
14.21
14.21
14.21
14.13
14.13
14.21
14.21
14.21
14.13
14.13
14.13
14.13
14.13
14.13
14.13
14.13
14.13
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.29
14.21
14.21
14.29
14.29
14.29
14.21
14.21
14.29
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.69
14.7
14.7
14.7
14.7
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.69
14.79
14.69
14.79
14.69
14.69
14.69
14.69
14.69
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.69
14.79
14.79
14.69
14.69
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.69
14.69
14.79
14.69
14.69
14.69
14.69
14.69
14.69
14.69
15.07
15.07
15.07
15.07
15.07
14.99
14.99
14.99
15.29
15.37
15.29
15.29
15.29
15.29
15.29
15.29
15.37
15.29
15.35
15.43
15.43
15.35
15.65
15.65
15.65
15.73
15.73
15.73
15.73
15.73
15.73
15.73
15.73
15.73
15.65
15.73
15.73
15.73
15.73
15.73
15.73
15.65
15.65
15.73
15.73
15.65
15.65
15.65
15.65
15.65
15.65
15.66
15.66
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.66
15.66
15.66
15.66
15.66
15.72
15.72
15.72
15.72
15.66
15.66
15.66
15.66
15.66
15.72
15.66
15.66
15.66
15.66
15.72
15.87
15.97
15.97
15.87
15.87
15.87
15.87
15.97
15.97
15.97
15.87
15.87

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91891&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91891&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91891&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 time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.931216812149240.00385474028807554
0.029.975814155362440.0504549376591724
0.0310.05252748167110.0249428487874103
0.0410.06928961372360.00157873552038529
0.0510.07002976875020.000139716881720403
0.0610.07052529911720.00116083914878612
0.0710.07280709188460.00384273558430612
0.0810.07806944221940.00777485297234853
0.0910.08840967468740.0166227636501064
0.110.1067188018650.02583929379305
0.1110.13032654008710.0318049422118556
0.1210.164895337920.0633119820227486
0.1310.23567169485350.1316430250575
0.1410.35683776637370.195244433320129
0.1510.51076051441740.223741513983136
0.1610.67299978571130.228800623086209
0.1710.83086587239490.221812020093564
0.1810.97421394128130.194337560145384
0.1911.08666242217420.13802042459076
0.211.15584968406780.0726808278104146
0.2111.18715459089020.0271873182605974
0.2211.19731247464040.0072585317136202
0.2311.1999103807030.00218637532764644
0.2411.20154616296270.00409735527087823
0.2511.20557362884760.0109567720727921
0.2611.21462411844160.0215394532673051
0.2711.22955574926680.0307266105642653
0.2811.2478506522920.0328351684897672
0.2911.26546952439070.0289791215821249
0.311.28100745453890.026667723884408
0.3111.29661427552220.0300810910435214
0.3211.31433894908460.0344208563922068
0.3311.3329521179660.0332483586804552
0.3411.34919634658230.0262398693816465
0.3511.3613324554030.0189023171872814
0.3611.37074710351480.0167934233319103
0.3711.38070677564720.021472964495571
0.3811.39435700178990.031142813640628
0.3911.41410697975390.0450994578662083
0.411.4425078084150.0648275299520804
0.4111.48205617557870.0880567353213922
0.4211.53220178652320.105007456315063
0.4311.58713785219160.106205765726276
0.4411.63907023631240.0942517004320022
0.4511.6847347045360.0834005881419378
0.4611.72876620251050.0893495964762452
0.4711.78209039764980.120973614076592
0.4811.85776389700390.177044451530714
0.4911.96568334519160.245434164592597
0.512.10706804219340.304818821875065
0.5112.27163065742860.333460155419123
0.5212.44055960519210.321529543943718
0.5312.59494842781640.278407075456619
0.5412.72464120276860.227014981274922
0.5512.831441019790.189567432116772
0.5612.92588626015780.178057025595905
0.5713.02188308415060.193919483800547
0.5813.13096311691510.226010231316312
0.5913.25492159672530.248066735904869
0.613.38138422376420.234253705073489
0.6113.49073409900840.184440583682849
0.6213.57151491022650.127445154847729
0.6313.62927402894570.0958338174222177
0.6413.68124633693680.10208614233368
0.6513.74464741265630.134864090900157
0.6613.82759915657150.17068622568545
0.6713.92499348392510.184785905943595
0.6814.02124427768680.165500958213797
0.6914.10026333023690.12290323186723
0.714.15492216282950.0779248137651859
0.7114.18882256082210.0473706936069211
0.7214.21364549777350.0436471398259853
0.7314.2471515021330.0756087543883446
0.7414.30806164744680.133883110214075
0.7514.40258769967840.183151536767734
0.7614.51333575446480.184639210895026
0.7714.61069013536480.140141570245118
0.7814.6790366219730.0895118820913018
0.7914.72392986316240.0593388207928314
0.814.75550773102590.0424002739301619
0.8114.77864383130170.0312933114647185
0.8214.80167742317970.0410271857460727
0.8314.84503220049110.08797757914926
0.8414.93179376837530.157183169180845
0.8515.06448434689360.205882256262367
0.8615.22031984179330.213081168303249
0.8715.37565522542520.19612531531202
0.8815.51176850992350.153570987246255
0.8915.60417586044990.08438743156301
0.915.64709334101090.0308977355489136
0.9115.6657135843460.0178140262129059
0.9215.68547112899030.0241980227701434
0.9315.70686136896220.0185277506155181
0.9415.71828761405220.00624888417898306
0.9515.7232153940340.00398041036365594
0.9615.72792345586970.00319280809720333
0.9715.73497249448520.00979703625762041
0.9815.79537846761820.0564271458081895
0.9915.89967518241610.0423416427343248

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.93121681214924 & 0.00385474028807554 \tabularnewline
0.02 & 9.97581415536244 & 0.0504549376591724 \tabularnewline
0.03 & 10.0525274816711 & 0.0249428487874103 \tabularnewline
0.04 & 10.0692896137236 & 0.00157873552038529 \tabularnewline
0.05 & 10.0700297687502 & 0.000139716881720403 \tabularnewline
0.06 & 10.0705252991172 & 0.00116083914878612 \tabularnewline
0.07 & 10.0728070918846 & 0.00384273558430612 \tabularnewline
0.08 & 10.0780694422194 & 0.00777485297234853 \tabularnewline
0.09 & 10.0884096746874 & 0.0166227636501064 \tabularnewline
0.1 & 10.106718801865 & 0.02583929379305 \tabularnewline
0.11 & 10.1303265400871 & 0.0318049422118556 \tabularnewline
0.12 & 10.16489533792 & 0.0633119820227486 \tabularnewline
0.13 & 10.2356716948535 & 0.1316430250575 \tabularnewline
0.14 & 10.3568377663737 & 0.195244433320129 \tabularnewline
0.15 & 10.5107605144174 & 0.223741513983136 \tabularnewline
0.16 & 10.6729997857113 & 0.228800623086209 \tabularnewline
0.17 & 10.8308658723949 & 0.221812020093564 \tabularnewline
0.18 & 10.9742139412813 & 0.194337560145384 \tabularnewline
0.19 & 11.0866624221742 & 0.13802042459076 \tabularnewline
0.2 & 11.1558496840678 & 0.0726808278104146 \tabularnewline
0.21 & 11.1871545908902 & 0.0271873182605974 \tabularnewline
0.22 & 11.1973124746404 & 0.0072585317136202 \tabularnewline
0.23 & 11.199910380703 & 0.00218637532764644 \tabularnewline
0.24 & 11.2015461629627 & 0.00409735527087823 \tabularnewline
0.25 & 11.2055736288476 & 0.0109567720727921 \tabularnewline
0.26 & 11.2146241184416 & 0.0215394532673051 \tabularnewline
0.27 & 11.2295557492668 & 0.0307266105642653 \tabularnewline
0.28 & 11.247850652292 & 0.0328351684897672 \tabularnewline
0.29 & 11.2654695243907 & 0.0289791215821249 \tabularnewline
0.3 & 11.2810074545389 & 0.026667723884408 \tabularnewline
0.31 & 11.2966142755222 & 0.0300810910435214 \tabularnewline
0.32 & 11.3143389490846 & 0.0344208563922068 \tabularnewline
0.33 & 11.332952117966 & 0.0332483586804552 \tabularnewline
0.34 & 11.3491963465823 & 0.0262398693816465 \tabularnewline
0.35 & 11.361332455403 & 0.0189023171872814 \tabularnewline
0.36 & 11.3707471035148 & 0.0167934233319103 \tabularnewline
0.37 & 11.3807067756472 & 0.021472964495571 \tabularnewline
0.38 & 11.3943570017899 & 0.031142813640628 \tabularnewline
0.39 & 11.4141069797539 & 0.0450994578662083 \tabularnewline
0.4 & 11.442507808415 & 0.0648275299520804 \tabularnewline
0.41 & 11.4820561755787 & 0.0880567353213922 \tabularnewline
0.42 & 11.5322017865232 & 0.105007456315063 \tabularnewline
0.43 & 11.5871378521916 & 0.106205765726276 \tabularnewline
0.44 & 11.6390702363124 & 0.0942517004320022 \tabularnewline
0.45 & 11.684734704536 & 0.0834005881419378 \tabularnewline
0.46 & 11.7287662025105 & 0.0893495964762452 \tabularnewline
0.47 & 11.7820903976498 & 0.120973614076592 \tabularnewline
0.48 & 11.8577638970039 & 0.177044451530714 \tabularnewline
0.49 & 11.9656833451916 & 0.245434164592597 \tabularnewline
0.5 & 12.1070680421934 & 0.304818821875065 \tabularnewline
0.51 & 12.2716306574286 & 0.333460155419123 \tabularnewline
0.52 & 12.4405596051921 & 0.321529543943718 \tabularnewline
0.53 & 12.5949484278164 & 0.278407075456619 \tabularnewline
0.54 & 12.7246412027686 & 0.227014981274922 \tabularnewline
0.55 & 12.83144101979 & 0.189567432116772 \tabularnewline
0.56 & 12.9258862601578 & 0.178057025595905 \tabularnewline
0.57 & 13.0218830841506 & 0.193919483800547 \tabularnewline
0.58 & 13.1309631169151 & 0.226010231316312 \tabularnewline
0.59 & 13.2549215967253 & 0.248066735904869 \tabularnewline
0.6 & 13.3813842237642 & 0.234253705073489 \tabularnewline
0.61 & 13.4907340990084 & 0.184440583682849 \tabularnewline
0.62 & 13.5715149102265 & 0.127445154847729 \tabularnewline
0.63 & 13.6292740289457 & 0.0958338174222177 \tabularnewline
0.64 & 13.6812463369368 & 0.10208614233368 \tabularnewline
0.65 & 13.7446474126563 & 0.134864090900157 \tabularnewline
0.66 & 13.8275991565715 & 0.17068622568545 \tabularnewline
0.67 & 13.9249934839251 & 0.184785905943595 \tabularnewline
0.68 & 14.0212442776868 & 0.165500958213797 \tabularnewline
0.69 & 14.1002633302369 & 0.12290323186723 \tabularnewline
0.7 & 14.1549221628295 & 0.0779248137651859 \tabularnewline
0.71 & 14.1888225608221 & 0.0473706936069211 \tabularnewline
0.72 & 14.2136454977735 & 0.0436471398259853 \tabularnewline
0.73 & 14.247151502133 & 0.0756087543883446 \tabularnewline
0.74 & 14.3080616474468 & 0.133883110214075 \tabularnewline
0.75 & 14.4025876996784 & 0.183151536767734 \tabularnewline
0.76 & 14.5133357544648 & 0.184639210895026 \tabularnewline
0.77 & 14.6106901353648 & 0.140141570245118 \tabularnewline
0.78 & 14.679036621973 & 0.0895118820913018 \tabularnewline
0.79 & 14.7239298631624 & 0.0593388207928314 \tabularnewline
0.8 & 14.7555077310259 & 0.0424002739301619 \tabularnewline
0.81 & 14.7786438313017 & 0.0312933114647185 \tabularnewline
0.82 & 14.8016774231797 & 0.0410271857460727 \tabularnewline
0.83 & 14.8450322004911 & 0.08797757914926 \tabularnewline
0.84 & 14.9317937683753 & 0.157183169180845 \tabularnewline
0.85 & 15.0644843468936 & 0.205882256262367 \tabularnewline
0.86 & 15.2203198417933 & 0.213081168303249 \tabularnewline
0.87 & 15.3756552254252 & 0.19612531531202 \tabularnewline
0.88 & 15.5117685099235 & 0.153570987246255 \tabularnewline
0.89 & 15.6041758604499 & 0.08438743156301 \tabularnewline
0.9 & 15.6470933410109 & 0.0308977355489136 \tabularnewline
0.91 & 15.665713584346 & 0.0178140262129059 \tabularnewline
0.92 & 15.6854711289903 & 0.0241980227701434 \tabularnewline
0.93 & 15.7068613689622 & 0.0185277506155181 \tabularnewline
0.94 & 15.7182876140522 & 0.00624888417898306 \tabularnewline
0.95 & 15.723215394034 & 0.00398041036365594 \tabularnewline
0.96 & 15.7279234558697 & 0.00319280809720333 \tabularnewline
0.97 & 15.7349724944852 & 0.00979703625762041 \tabularnewline
0.98 & 15.7953784676182 & 0.0564271458081895 \tabularnewline
0.99 & 15.8996751824161 & 0.0423416427343248 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91891&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]9.93121681214924[/C][C]0.00385474028807554[/C][/ROW]
[ROW][C]0.02[/C][C]9.97581415536244[/C][C]0.0504549376591724[/C][/ROW]
[ROW][C]0.03[/C][C]10.0525274816711[/C][C]0.0249428487874103[/C][/ROW]
[ROW][C]0.04[/C][C]10.0692896137236[/C][C]0.00157873552038529[/C][/ROW]
[ROW][C]0.05[/C][C]10.0700297687502[/C][C]0.000139716881720403[/C][/ROW]
[ROW][C]0.06[/C][C]10.0705252991172[/C][C]0.00116083914878612[/C][/ROW]
[ROW][C]0.07[/C][C]10.0728070918846[/C][C]0.00384273558430612[/C][/ROW]
[ROW][C]0.08[/C][C]10.0780694422194[/C][C]0.00777485297234853[/C][/ROW]
[ROW][C]0.09[/C][C]10.0884096746874[/C][C]0.0166227636501064[/C][/ROW]
[ROW][C]0.1[/C][C]10.106718801865[/C][C]0.02583929379305[/C][/ROW]
[ROW][C]0.11[/C][C]10.1303265400871[/C][C]0.0318049422118556[/C][/ROW]
[ROW][C]0.12[/C][C]10.16489533792[/C][C]0.0633119820227486[/C][/ROW]
[ROW][C]0.13[/C][C]10.2356716948535[/C][C]0.1316430250575[/C][/ROW]
[ROW][C]0.14[/C][C]10.3568377663737[/C][C]0.195244433320129[/C][/ROW]
[ROW][C]0.15[/C][C]10.5107605144174[/C][C]0.223741513983136[/C][/ROW]
[ROW][C]0.16[/C][C]10.6729997857113[/C][C]0.228800623086209[/C][/ROW]
[ROW][C]0.17[/C][C]10.8308658723949[/C][C]0.221812020093564[/C][/ROW]
[ROW][C]0.18[/C][C]10.9742139412813[/C][C]0.194337560145384[/C][/ROW]
[ROW][C]0.19[/C][C]11.0866624221742[/C][C]0.13802042459076[/C][/ROW]
[ROW][C]0.2[/C][C]11.1558496840678[/C][C]0.0726808278104146[/C][/ROW]
[ROW][C]0.21[/C][C]11.1871545908902[/C][C]0.0271873182605974[/C][/ROW]
[ROW][C]0.22[/C][C]11.1973124746404[/C][C]0.0072585317136202[/C][/ROW]
[ROW][C]0.23[/C][C]11.199910380703[/C][C]0.00218637532764644[/C][/ROW]
[ROW][C]0.24[/C][C]11.2015461629627[/C][C]0.00409735527087823[/C][/ROW]
[ROW][C]0.25[/C][C]11.2055736288476[/C][C]0.0109567720727921[/C][/ROW]
[ROW][C]0.26[/C][C]11.2146241184416[/C][C]0.0215394532673051[/C][/ROW]
[ROW][C]0.27[/C][C]11.2295557492668[/C][C]0.0307266105642653[/C][/ROW]
[ROW][C]0.28[/C][C]11.247850652292[/C][C]0.0328351684897672[/C][/ROW]
[ROW][C]0.29[/C][C]11.2654695243907[/C][C]0.0289791215821249[/C][/ROW]
[ROW][C]0.3[/C][C]11.2810074545389[/C][C]0.026667723884408[/C][/ROW]
[ROW][C]0.31[/C][C]11.2966142755222[/C][C]0.0300810910435214[/C][/ROW]
[ROW][C]0.32[/C][C]11.3143389490846[/C][C]0.0344208563922068[/C][/ROW]
[ROW][C]0.33[/C][C]11.332952117966[/C][C]0.0332483586804552[/C][/ROW]
[ROW][C]0.34[/C][C]11.3491963465823[/C][C]0.0262398693816465[/C][/ROW]
[ROW][C]0.35[/C][C]11.361332455403[/C][C]0.0189023171872814[/C][/ROW]
[ROW][C]0.36[/C][C]11.3707471035148[/C][C]0.0167934233319103[/C][/ROW]
[ROW][C]0.37[/C][C]11.3807067756472[/C][C]0.021472964495571[/C][/ROW]
[ROW][C]0.38[/C][C]11.3943570017899[/C][C]0.031142813640628[/C][/ROW]
[ROW][C]0.39[/C][C]11.4141069797539[/C][C]0.0450994578662083[/C][/ROW]
[ROW][C]0.4[/C][C]11.442507808415[/C][C]0.0648275299520804[/C][/ROW]
[ROW][C]0.41[/C][C]11.4820561755787[/C][C]0.0880567353213922[/C][/ROW]
[ROW][C]0.42[/C][C]11.5322017865232[/C][C]0.105007456315063[/C][/ROW]
[ROW][C]0.43[/C][C]11.5871378521916[/C][C]0.106205765726276[/C][/ROW]
[ROW][C]0.44[/C][C]11.6390702363124[/C][C]0.0942517004320022[/C][/ROW]
[ROW][C]0.45[/C][C]11.684734704536[/C][C]0.0834005881419378[/C][/ROW]
[ROW][C]0.46[/C][C]11.7287662025105[/C][C]0.0893495964762452[/C][/ROW]
[ROW][C]0.47[/C][C]11.7820903976498[/C][C]0.120973614076592[/C][/ROW]
[ROW][C]0.48[/C][C]11.8577638970039[/C][C]0.177044451530714[/C][/ROW]
[ROW][C]0.49[/C][C]11.9656833451916[/C][C]0.245434164592597[/C][/ROW]
[ROW][C]0.5[/C][C]12.1070680421934[/C][C]0.304818821875065[/C][/ROW]
[ROW][C]0.51[/C][C]12.2716306574286[/C][C]0.333460155419123[/C][/ROW]
[ROW][C]0.52[/C][C]12.4405596051921[/C][C]0.321529543943718[/C][/ROW]
[ROW][C]0.53[/C][C]12.5949484278164[/C][C]0.278407075456619[/C][/ROW]
[ROW][C]0.54[/C][C]12.7246412027686[/C][C]0.227014981274922[/C][/ROW]
[ROW][C]0.55[/C][C]12.83144101979[/C][C]0.189567432116772[/C][/ROW]
[ROW][C]0.56[/C][C]12.9258862601578[/C][C]0.178057025595905[/C][/ROW]
[ROW][C]0.57[/C][C]13.0218830841506[/C][C]0.193919483800547[/C][/ROW]
[ROW][C]0.58[/C][C]13.1309631169151[/C][C]0.226010231316312[/C][/ROW]
[ROW][C]0.59[/C][C]13.2549215967253[/C][C]0.248066735904869[/C][/ROW]
[ROW][C]0.6[/C][C]13.3813842237642[/C][C]0.234253705073489[/C][/ROW]
[ROW][C]0.61[/C][C]13.4907340990084[/C][C]0.184440583682849[/C][/ROW]
[ROW][C]0.62[/C][C]13.5715149102265[/C][C]0.127445154847729[/C][/ROW]
[ROW][C]0.63[/C][C]13.6292740289457[/C][C]0.0958338174222177[/C][/ROW]
[ROW][C]0.64[/C][C]13.6812463369368[/C][C]0.10208614233368[/C][/ROW]
[ROW][C]0.65[/C][C]13.7446474126563[/C][C]0.134864090900157[/C][/ROW]
[ROW][C]0.66[/C][C]13.8275991565715[/C][C]0.17068622568545[/C][/ROW]
[ROW][C]0.67[/C][C]13.9249934839251[/C][C]0.184785905943595[/C][/ROW]
[ROW][C]0.68[/C][C]14.0212442776868[/C][C]0.165500958213797[/C][/ROW]
[ROW][C]0.69[/C][C]14.1002633302369[/C][C]0.12290323186723[/C][/ROW]
[ROW][C]0.7[/C][C]14.1549221628295[/C][C]0.0779248137651859[/C][/ROW]
[ROW][C]0.71[/C][C]14.1888225608221[/C][C]0.0473706936069211[/C][/ROW]
[ROW][C]0.72[/C][C]14.2136454977735[/C][C]0.0436471398259853[/C][/ROW]
[ROW][C]0.73[/C][C]14.247151502133[/C][C]0.0756087543883446[/C][/ROW]
[ROW][C]0.74[/C][C]14.3080616474468[/C][C]0.133883110214075[/C][/ROW]
[ROW][C]0.75[/C][C]14.4025876996784[/C][C]0.183151536767734[/C][/ROW]
[ROW][C]0.76[/C][C]14.5133357544648[/C][C]0.184639210895026[/C][/ROW]
[ROW][C]0.77[/C][C]14.6106901353648[/C][C]0.140141570245118[/C][/ROW]
[ROW][C]0.78[/C][C]14.679036621973[/C][C]0.0895118820913018[/C][/ROW]
[ROW][C]0.79[/C][C]14.7239298631624[/C][C]0.0593388207928314[/C][/ROW]
[ROW][C]0.8[/C][C]14.7555077310259[/C][C]0.0424002739301619[/C][/ROW]
[ROW][C]0.81[/C][C]14.7786438313017[/C][C]0.0312933114647185[/C][/ROW]
[ROW][C]0.82[/C][C]14.8016774231797[/C][C]0.0410271857460727[/C][/ROW]
[ROW][C]0.83[/C][C]14.8450322004911[/C][C]0.08797757914926[/C][/ROW]
[ROW][C]0.84[/C][C]14.9317937683753[/C][C]0.157183169180845[/C][/ROW]
[ROW][C]0.85[/C][C]15.0644843468936[/C][C]0.205882256262367[/C][/ROW]
[ROW][C]0.86[/C][C]15.2203198417933[/C][C]0.213081168303249[/C][/ROW]
[ROW][C]0.87[/C][C]15.3756552254252[/C][C]0.19612531531202[/C][/ROW]
[ROW][C]0.88[/C][C]15.5117685099235[/C][C]0.153570987246255[/C][/ROW]
[ROW][C]0.89[/C][C]15.6041758604499[/C][C]0.08438743156301[/C][/ROW]
[ROW][C]0.9[/C][C]15.6470933410109[/C][C]0.0308977355489136[/C][/ROW]
[ROW][C]0.91[/C][C]15.665713584346[/C][C]0.0178140262129059[/C][/ROW]
[ROW][C]0.92[/C][C]15.6854711289903[/C][C]0.0241980227701434[/C][/ROW]
[ROW][C]0.93[/C][C]15.7068613689622[/C][C]0.0185277506155181[/C][/ROW]
[ROW][C]0.94[/C][C]15.7182876140522[/C][C]0.00624888417898306[/C][/ROW]
[ROW][C]0.95[/C][C]15.723215394034[/C][C]0.00398041036365594[/C][/ROW]
[ROW][C]0.96[/C][C]15.7279234558697[/C][C]0.00319280809720333[/C][/ROW]
[ROW][C]0.97[/C][C]15.7349724944852[/C][C]0.00979703625762041[/C][/ROW]
[ROW][C]0.98[/C][C]15.7953784676182[/C][C]0.0564271458081895[/C][/ROW]
[ROW][C]0.99[/C][C]15.8996751824161[/C][C]0.0423416427343248[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91891&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91891&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
0.019.931216812149240.00385474028807554
0.029.975814155362440.0504549376591724
0.0310.05252748167110.0249428487874103
0.0410.06928961372360.00157873552038529
0.0510.07002976875020.000139716881720403
0.0610.07052529911720.00116083914878612
0.0710.07280709188460.00384273558430612
0.0810.07806944221940.00777485297234853
0.0910.08840967468740.0166227636501064
0.110.1067188018650.02583929379305
0.1110.13032654008710.0318049422118556
0.1210.164895337920.0633119820227486
0.1310.23567169485350.1316430250575
0.1410.35683776637370.195244433320129
0.1510.51076051441740.223741513983136
0.1610.67299978571130.228800623086209
0.1710.83086587239490.221812020093564
0.1810.97421394128130.194337560145384
0.1911.08666242217420.13802042459076
0.211.15584968406780.0726808278104146
0.2111.18715459089020.0271873182605974
0.2211.19731247464040.0072585317136202
0.2311.1999103807030.00218637532764644
0.2411.20154616296270.00409735527087823
0.2511.20557362884760.0109567720727921
0.2611.21462411844160.0215394532673051
0.2711.22955574926680.0307266105642653
0.2811.2478506522920.0328351684897672
0.2911.26546952439070.0289791215821249
0.311.28100745453890.026667723884408
0.3111.29661427552220.0300810910435214
0.3211.31433894908460.0344208563922068
0.3311.3329521179660.0332483586804552
0.3411.34919634658230.0262398693816465
0.3511.3613324554030.0189023171872814
0.3611.37074710351480.0167934233319103
0.3711.38070677564720.021472964495571
0.3811.39435700178990.031142813640628
0.3911.41410697975390.0450994578662083
0.411.4425078084150.0648275299520804
0.4111.48205617557870.0880567353213922
0.4211.53220178652320.105007456315063
0.4311.58713785219160.106205765726276
0.4411.63907023631240.0942517004320022
0.4511.6847347045360.0834005881419378
0.4611.72876620251050.0893495964762452
0.4711.78209039764980.120973614076592
0.4811.85776389700390.177044451530714
0.4911.96568334519160.245434164592597
0.512.10706804219340.304818821875065
0.5112.27163065742860.333460155419123
0.5212.44055960519210.321529543943718
0.5312.59494842781640.278407075456619
0.5412.72464120276860.227014981274922
0.5512.831441019790.189567432116772
0.5612.92588626015780.178057025595905
0.5713.02188308415060.193919483800547
0.5813.13096311691510.226010231316312
0.5913.25492159672530.248066735904869
0.613.38138422376420.234253705073489
0.6113.49073409900840.184440583682849
0.6213.57151491022650.127445154847729
0.6313.62927402894570.0958338174222177
0.6413.68124633693680.10208614233368
0.6513.74464741265630.134864090900157
0.6613.82759915657150.17068622568545
0.6713.92499348392510.184785905943595
0.6814.02124427768680.165500958213797
0.6914.10026333023690.12290323186723
0.714.15492216282950.0779248137651859
0.7114.18882256082210.0473706936069211
0.7214.21364549777350.0436471398259853
0.7314.2471515021330.0756087543883446
0.7414.30806164744680.133883110214075
0.7514.40258769967840.183151536767734
0.7614.51333575446480.184639210895026
0.7714.61069013536480.140141570245118
0.7814.6790366219730.0895118820913018
0.7914.72392986316240.0593388207928314
0.814.75550773102590.0424002739301619
0.8114.77864383130170.0312933114647185
0.8214.80167742317970.0410271857460727
0.8314.84503220049110.08797757914926
0.8414.93179376837530.157183169180845
0.8515.06448434689360.205882256262367
0.8615.22031984179330.213081168303249
0.8715.37565522542520.19612531531202
0.8815.51176850992350.153570987246255
0.8915.60417586044990.08438743156301
0.915.64709334101090.0308977355489136
0.9115.6657135843460.0178140262129059
0.9215.68547112899030.0241980227701434
0.9315.70686136896220.0185277506155181
0.9415.71828761405220.00624888417898306
0.9515.7232153940340.00398041036365594
0.9615.72792345586970.00319280809720333
0.9715.73497249448520.00979703625762041
0.9815.79537846761820.0564271458081895
0.9915.89967518241610.0423416427343248


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')