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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 computationWed, 12 Oct 2011 06:44:07 -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/2011/Oct/12/t1318416344xqwc9mfq3qiza7q.htm/, Retrieved Thu, 12 Feb 2026 09:37:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128280, Retrieved Thu, 12 Feb 2026 09:37:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact375

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] [] [2011-10-12 10:44:07] [c442720b665eade0c8a11d0ab9dda6bb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
74,96
75,19
74,98
75,54
75,61
75,59
75,58
75,44
75,37
75,22
75,33
75,33
78,33
78,09
77,88
77,61
77,43
77,47
77,47
77,46
77,76
78,29
78,56
78,55
78,55
78,59
77,95
78,5
78,45
78,31
78,31
78,33
78,28
79,06
79,2
79,26
79,26
79,38
79,35
78,91
79,11
79,22
79,22
79,21
79,26
79,82
80,04
80,2
80,2
80,27
80,37
80,57
79,99
79,86
79,86
79,81
79,88
80,2
80,53
80,52
80,52
80,48
80,29
79,54
79,39
79,3
79,3
79,49
79,63
79,74
80,17
80,06

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=128280&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=128280&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128280&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
0.0174.98324914595790.0652122917488838
0.0275.03054638789230.11294687602822
0.0375.0924189418080.132327898509739
0.0475.15702678110.129196091852596
0.0575.21707210755440.120697391062237
0.0675.27114034145480.119376121212158
0.0775.32191734171890.13184377604773
0.0875.37410305140330.162249095547392
0.0975.43312212862890.213480932367116
0.175.50445040312880.286334932995838
0.1175.59307924203970.379117639415713
0.1275.7028619638860.485579687996803
0.1375.83577987921110.596166924102404
0.1475.99134566036230.698588410266769
0.1576.1663914335230.780185730305498
0.1676.35538770424110.831724564350658
0.1776.5512635050680.84841063597399
0.1876.74652834934280.831249334100691
0.1976.93440458370260.786262953910128
0.277.10969573937670.722730116885083
0.2177.26922341526750.650465109984019
0.2277.41180935429440.578628165812555
0.2377.53790356081610.513371423145108
0.2477.64902652626150.457827603223474
0.2577.74719647005020.412380342276559
0.2677.83446769256620.375260037131542
0.2777.91264113163340.344294874745793
0.2877.98314807848890.3172775646735
0.2978.04706778033840.292641237541777
0.378.10522311034480.26980158508956
0.3178.15830125437840.248778201604136
0.3278.20696047415030.2302497755362
0.3378.25190164268480.214957539236737
0.3478.29389882837770.203742609343326
0.3578.33379389906950.19693492848001
0.3678.37246541086180.195208768829996
0.3778.41078292444240.198192129941772
0.3878.44955604059430.205534191254934
0.3978.48948460942410.216157485647925
0.478.53111410013970.229313005232441
0.4178.57479874274180.243651278346535
0.4278.62067481414670.258039205914515
0.4378.66864684487730.270995930447763
0.4478.7183898141690.281222655692625
0.4578.76936989656470.287751563984486
0.4678.82088468374030.289574604663607
0.4778.87212117438950.286225636433124
0.4878.92222678043050.277809257073606
0.4978.97038595079720.264504875215182
0.579.01589353061090.247445654109548
0.5179.05821611964990.227573793288504
0.5279.09703449068580.206249865939835
0.5379.13226315616420.184996572293403
0.5479.1640467127950.164926774149243
0.5579.19273585081420.147365886477948
0.5679.21884823382810.133235714471063
0.5779.24302048199710.123082596033919
0.5879.2659572268330.117320650030214
0.5979.28838195965340.115805595683842
0.679.31099266655340.11835820856957
0.6179.33442356937380.124288969148003
0.6279.35921311540850.132733046070806
0.6379.38577792328130.143025559585384
0.6479.41439270223770.154225140055257
0.6579.44517698879620.165431416011925
0.6679.47809048592170.175917204180746
0.6779.51293936656050.184748072064625
0.6879.5493956842970.191202195633153
0.6979.58703076755970.195011193574496
0.779.62536119928070.195809282543342
0.7179.66390308501660.193816151706166
0.7279.70222748285250.189353654340802
0.7379.74000797178130.183191535820262
0.7479.7770511782390.176306267324421
0.7579.81330315076510.169372970912339
0.7679.84882872416910.163166579149263
0.7779.88376677960270.158116719055524
0.7879.91827038319940.154071609154819
0.7979.95244568451290.150764441237005
0.879.98630574407370.147422399803012
0.8180.01975410604030.143366824399694
0.8280.05260758336210.138103736737873
0.8380.08465886935650.131373823303826
0.8480.11576860063070.123666882914871
0.8580.14596548542620.115616467931424
0.8680.17552460481050.108518220554205
0.8780.20499049568760.10373225757589
0.8880.23511536478780.102172552195696
0.8980.26669592299330.103976763795953
0.980.30031729356290.107994206742653
0.9180.33605093333650.111897248983899
0.9280.37320226775850.112665329709058
0.9380.41024738587470.107578561107902
0.9480.4451039430940.0951010271522784
0.9580.47580288077860.0762133010237526
0.9680.50141518600360.0546750151945563
0.9780.52270932098740.0365503887953083
0.9880.54158262934160.0289039455373558
0.9980.55854067121880.0329387033346473

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 74.9832491459579 & 0.0652122917488838 \tabularnewline
0.02 & 75.0305463878923 & 0.11294687602822 \tabularnewline
0.03 & 75.092418941808 & 0.132327898509739 \tabularnewline
0.04 & 75.1570267811 & 0.129196091852596 \tabularnewline
0.05 & 75.2170721075544 & 0.120697391062237 \tabularnewline
0.06 & 75.2711403414548 & 0.119376121212158 \tabularnewline
0.07 & 75.3219173417189 & 0.13184377604773 \tabularnewline
0.08 & 75.3741030514033 & 0.162249095547392 \tabularnewline
0.09 & 75.4331221286289 & 0.213480932367116 \tabularnewline
0.1 & 75.5044504031288 & 0.286334932995838 \tabularnewline
0.11 & 75.5930792420397 & 0.379117639415713 \tabularnewline
0.12 & 75.702861963886 & 0.485579687996803 \tabularnewline
0.13 & 75.8357798792111 & 0.596166924102404 \tabularnewline
0.14 & 75.9913456603623 & 0.698588410266769 \tabularnewline
0.15 & 76.166391433523 & 0.780185730305498 \tabularnewline
0.16 & 76.3553877042411 & 0.831724564350658 \tabularnewline
0.17 & 76.551263505068 & 0.84841063597399 \tabularnewline
0.18 & 76.7465283493428 & 0.831249334100691 \tabularnewline
0.19 & 76.9344045837026 & 0.786262953910128 \tabularnewline
0.2 & 77.1096957393767 & 0.722730116885083 \tabularnewline
0.21 & 77.2692234152675 & 0.650465109984019 \tabularnewline
0.22 & 77.4118093542944 & 0.578628165812555 \tabularnewline
0.23 & 77.5379035608161 & 0.513371423145108 \tabularnewline
0.24 & 77.6490265262615 & 0.457827603223474 \tabularnewline
0.25 & 77.7471964700502 & 0.412380342276559 \tabularnewline
0.26 & 77.8344676925662 & 0.375260037131542 \tabularnewline
0.27 & 77.9126411316334 & 0.344294874745793 \tabularnewline
0.28 & 77.9831480784889 & 0.3172775646735 \tabularnewline
0.29 & 78.0470677803384 & 0.292641237541777 \tabularnewline
0.3 & 78.1052231103448 & 0.26980158508956 \tabularnewline
0.31 & 78.1583012543784 & 0.248778201604136 \tabularnewline
0.32 & 78.2069604741503 & 0.2302497755362 \tabularnewline
0.33 & 78.2519016426848 & 0.214957539236737 \tabularnewline
0.34 & 78.2938988283777 & 0.203742609343326 \tabularnewline
0.35 & 78.3337938990695 & 0.19693492848001 \tabularnewline
0.36 & 78.3724654108618 & 0.195208768829996 \tabularnewline
0.37 & 78.4107829244424 & 0.198192129941772 \tabularnewline
0.38 & 78.4495560405943 & 0.205534191254934 \tabularnewline
0.39 & 78.4894846094241 & 0.216157485647925 \tabularnewline
0.4 & 78.5311141001397 & 0.229313005232441 \tabularnewline
0.41 & 78.5747987427418 & 0.243651278346535 \tabularnewline
0.42 & 78.6206748141467 & 0.258039205914515 \tabularnewline
0.43 & 78.6686468448773 & 0.270995930447763 \tabularnewline
0.44 & 78.718389814169 & 0.281222655692625 \tabularnewline
0.45 & 78.7693698965647 & 0.287751563984486 \tabularnewline
0.46 & 78.8208846837403 & 0.289574604663607 \tabularnewline
0.47 & 78.8721211743895 & 0.286225636433124 \tabularnewline
0.48 & 78.9222267804305 & 0.277809257073606 \tabularnewline
0.49 & 78.9703859507972 & 0.264504875215182 \tabularnewline
0.5 & 79.0158935306109 & 0.247445654109548 \tabularnewline
0.51 & 79.0582161196499 & 0.227573793288504 \tabularnewline
0.52 & 79.0970344906858 & 0.206249865939835 \tabularnewline
0.53 & 79.1322631561642 & 0.184996572293403 \tabularnewline
0.54 & 79.164046712795 & 0.164926774149243 \tabularnewline
0.55 & 79.1927358508142 & 0.147365886477948 \tabularnewline
0.56 & 79.2188482338281 & 0.133235714471063 \tabularnewline
0.57 & 79.2430204819971 & 0.123082596033919 \tabularnewline
0.58 & 79.265957226833 & 0.117320650030214 \tabularnewline
0.59 & 79.2883819596534 & 0.115805595683842 \tabularnewline
0.6 & 79.3109926665534 & 0.11835820856957 \tabularnewline
0.61 & 79.3344235693738 & 0.124288969148003 \tabularnewline
0.62 & 79.3592131154085 & 0.132733046070806 \tabularnewline
0.63 & 79.3857779232813 & 0.143025559585384 \tabularnewline
0.64 & 79.4143927022377 & 0.154225140055257 \tabularnewline
0.65 & 79.4451769887962 & 0.165431416011925 \tabularnewline
0.66 & 79.4780904859217 & 0.175917204180746 \tabularnewline
0.67 & 79.5129393665605 & 0.184748072064625 \tabularnewline
0.68 & 79.549395684297 & 0.191202195633153 \tabularnewline
0.69 & 79.5870307675597 & 0.195011193574496 \tabularnewline
0.7 & 79.6253611992807 & 0.195809282543342 \tabularnewline
0.71 & 79.6639030850166 & 0.193816151706166 \tabularnewline
0.72 & 79.7022274828525 & 0.189353654340802 \tabularnewline
0.73 & 79.7400079717813 & 0.183191535820262 \tabularnewline
0.74 & 79.777051178239 & 0.176306267324421 \tabularnewline
0.75 & 79.8133031507651 & 0.169372970912339 \tabularnewline
0.76 & 79.8488287241691 & 0.163166579149263 \tabularnewline
0.77 & 79.8837667796027 & 0.158116719055524 \tabularnewline
0.78 & 79.9182703831994 & 0.154071609154819 \tabularnewline
0.79 & 79.9524456845129 & 0.150764441237005 \tabularnewline
0.8 & 79.9863057440737 & 0.147422399803012 \tabularnewline
0.81 & 80.0197541060403 & 0.143366824399694 \tabularnewline
0.82 & 80.0526075833621 & 0.138103736737873 \tabularnewline
0.83 & 80.0846588693565 & 0.131373823303826 \tabularnewline
0.84 & 80.1157686006307 & 0.123666882914871 \tabularnewline
0.85 & 80.1459654854262 & 0.115616467931424 \tabularnewline
0.86 & 80.1755246048105 & 0.108518220554205 \tabularnewline
0.87 & 80.2049904956876 & 0.10373225757589 \tabularnewline
0.88 & 80.2351153647878 & 0.102172552195696 \tabularnewline
0.89 & 80.2666959229933 & 0.103976763795953 \tabularnewline
0.9 & 80.3003172935629 & 0.107994206742653 \tabularnewline
0.91 & 80.3360509333365 & 0.111897248983899 \tabularnewline
0.92 & 80.3732022677585 & 0.112665329709058 \tabularnewline
0.93 & 80.4102473858747 & 0.107578561107902 \tabularnewline
0.94 & 80.445103943094 & 0.0951010271522784 \tabularnewline
0.95 & 80.4758028807786 & 0.0762133010237526 \tabularnewline
0.96 & 80.5014151860036 & 0.0546750151945563 \tabularnewline
0.97 & 80.5227093209874 & 0.0365503887953083 \tabularnewline
0.98 & 80.5415826293416 & 0.0289039455373558 \tabularnewline
0.99 & 80.5585406712188 & 0.0329387033346473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128280&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]74.9832491459579[/C][C]0.0652122917488838[/C][/ROW]
[ROW][C]0.02[/C][C]75.0305463878923[/C][C]0.11294687602822[/C][/ROW]
[ROW][C]0.03[/C][C]75.092418941808[/C][C]0.132327898509739[/C][/ROW]
[ROW][C]0.04[/C][C]75.1570267811[/C][C]0.129196091852596[/C][/ROW]
[ROW][C]0.05[/C][C]75.2170721075544[/C][C]0.120697391062237[/C][/ROW]
[ROW][C]0.06[/C][C]75.2711403414548[/C][C]0.119376121212158[/C][/ROW]
[ROW][C]0.07[/C][C]75.3219173417189[/C][C]0.13184377604773[/C][/ROW]
[ROW][C]0.08[/C][C]75.3741030514033[/C][C]0.162249095547392[/C][/ROW]
[ROW][C]0.09[/C][C]75.4331221286289[/C][C]0.213480932367116[/C][/ROW]
[ROW][C]0.1[/C][C]75.5044504031288[/C][C]0.286334932995838[/C][/ROW]
[ROW][C]0.11[/C][C]75.5930792420397[/C][C]0.379117639415713[/C][/ROW]
[ROW][C]0.12[/C][C]75.702861963886[/C][C]0.485579687996803[/C][/ROW]
[ROW][C]0.13[/C][C]75.8357798792111[/C][C]0.596166924102404[/C][/ROW]
[ROW][C]0.14[/C][C]75.9913456603623[/C][C]0.698588410266769[/C][/ROW]
[ROW][C]0.15[/C][C]76.166391433523[/C][C]0.780185730305498[/C][/ROW]
[ROW][C]0.16[/C][C]76.3553877042411[/C][C]0.831724564350658[/C][/ROW]
[ROW][C]0.17[/C][C]76.551263505068[/C][C]0.84841063597399[/C][/ROW]
[ROW][C]0.18[/C][C]76.7465283493428[/C][C]0.831249334100691[/C][/ROW]
[ROW][C]0.19[/C][C]76.9344045837026[/C][C]0.786262953910128[/C][/ROW]
[ROW][C]0.2[/C][C]77.1096957393767[/C][C]0.722730116885083[/C][/ROW]
[ROW][C]0.21[/C][C]77.2692234152675[/C][C]0.650465109984019[/C][/ROW]
[ROW][C]0.22[/C][C]77.4118093542944[/C][C]0.578628165812555[/C][/ROW]
[ROW][C]0.23[/C][C]77.5379035608161[/C][C]0.513371423145108[/C][/ROW]
[ROW][C]0.24[/C][C]77.6490265262615[/C][C]0.457827603223474[/C][/ROW]
[ROW][C]0.25[/C][C]77.7471964700502[/C][C]0.412380342276559[/C][/ROW]
[ROW][C]0.26[/C][C]77.8344676925662[/C][C]0.375260037131542[/C][/ROW]
[ROW][C]0.27[/C][C]77.9126411316334[/C][C]0.344294874745793[/C][/ROW]
[ROW][C]0.28[/C][C]77.9831480784889[/C][C]0.3172775646735[/C][/ROW]
[ROW][C]0.29[/C][C]78.0470677803384[/C][C]0.292641237541777[/C][/ROW]
[ROW][C]0.3[/C][C]78.1052231103448[/C][C]0.26980158508956[/C][/ROW]
[ROW][C]0.31[/C][C]78.1583012543784[/C][C]0.248778201604136[/C][/ROW]
[ROW][C]0.32[/C][C]78.2069604741503[/C][C]0.2302497755362[/C][/ROW]
[ROW][C]0.33[/C][C]78.2519016426848[/C][C]0.214957539236737[/C][/ROW]
[ROW][C]0.34[/C][C]78.2938988283777[/C][C]0.203742609343326[/C][/ROW]
[ROW][C]0.35[/C][C]78.3337938990695[/C][C]0.19693492848001[/C][/ROW]
[ROW][C]0.36[/C][C]78.3724654108618[/C][C]0.195208768829996[/C][/ROW]
[ROW][C]0.37[/C][C]78.4107829244424[/C][C]0.198192129941772[/C][/ROW]
[ROW][C]0.38[/C][C]78.4495560405943[/C][C]0.205534191254934[/C][/ROW]
[ROW][C]0.39[/C][C]78.4894846094241[/C][C]0.216157485647925[/C][/ROW]
[ROW][C]0.4[/C][C]78.5311141001397[/C][C]0.229313005232441[/C][/ROW]
[ROW][C]0.41[/C][C]78.5747987427418[/C][C]0.243651278346535[/C][/ROW]
[ROW][C]0.42[/C][C]78.6206748141467[/C][C]0.258039205914515[/C][/ROW]
[ROW][C]0.43[/C][C]78.6686468448773[/C][C]0.270995930447763[/C][/ROW]
[ROW][C]0.44[/C][C]78.718389814169[/C][C]0.281222655692625[/C][/ROW]
[ROW][C]0.45[/C][C]78.7693698965647[/C][C]0.287751563984486[/C][/ROW]
[ROW][C]0.46[/C][C]78.8208846837403[/C][C]0.289574604663607[/C][/ROW]
[ROW][C]0.47[/C][C]78.8721211743895[/C][C]0.286225636433124[/C][/ROW]
[ROW][C]0.48[/C][C]78.9222267804305[/C][C]0.277809257073606[/C][/ROW]
[ROW][C]0.49[/C][C]78.9703859507972[/C][C]0.264504875215182[/C][/ROW]
[ROW][C]0.5[/C][C]79.0158935306109[/C][C]0.247445654109548[/C][/ROW]
[ROW][C]0.51[/C][C]79.0582161196499[/C][C]0.227573793288504[/C][/ROW]
[ROW][C]0.52[/C][C]79.0970344906858[/C][C]0.206249865939835[/C][/ROW]
[ROW][C]0.53[/C][C]79.1322631561642[/C][C]0.184996572293403[/C][/ROW]
[ROW][C]0.54[/C][C]79.164046712795[/C][C]0.164926774149243[/C][/ROW]
[ROW][C]0.55[/C][C]79.1927358508142[/C][C]0.147365886477948[/C][/ROW]
[ROW][C]0.56[/C][C]79.2188482338281[/C][C]0.133235714471063[/C][/ROW]
[ROW][C]0.57[/C][C]79.2430204819971[/C][C]0.123082596033919[/C][/ROW]
[ROW][C]0.58[/C][C]79.265957226833[/C][C]0.117320650030214[/C][/ROW]
[ROW][C]0.59[/C][C]79.2883819596534[/C][C]0.115805595683842[/C][/ROW]
[ROW][C]0.6[/C][C]79.3109926665534[/C][C]0.11835820856957[/C][/ROW]
[ROW][C]0.61[/C][C]79.3344235693738[/C][C]0.124288969148003[/C][/ROW]
[ROW][C]0.62[/C][C]79.3592131154085[/C][C]0.132733046070806[/C][/ROW]
[ROW][C]0.63[/C][C]79.3857779232813[/C][C]0.143025559585384[/C][/ROW]
[ROW][C]0.64[/C][C]79.4143927022377[/C][C]0.154225140055257[/C][/ROW]
[ROW][C]0.65[/C][C]79.4451769887962[/C][C]0.165431416011925[/C][/ROW]
[ROW][C]0.66[/C][C]79.4780904859217[/C][C]0.175917204180746[/C][/ROW]
[ROW][C]0.67[/C][C]79.5129393665605[/C][C]0.184748072064625[/C][/ROW]
[ROW][C]0.68[/C][C]79.549395684297[/C][C]0.191202195633153[/C][/ROW]
[ROW][C]0.69[/C][C]79.5870307675597[/C][C]0.195011193574496[/C][/ROW]
[ROW][C]0.7[/C][C]79.6253611992807[/C][C]0.195809282543342[/C][/ROW]
[ROW][C]0.71[/C][C]79.6639030850166[/C][C]0.193816151706166[/C][/ROW]
[ROW][C]0.72[/C][C]79.7022274828525[/C][C]0.189353654340802[/C][/ROW]
[ROW][C]0.73[/C][C]79.7400079717813[/C][C]0.183191535820262[/C][/ROW]
[ROW][C]0.74[/C][C]79.777051178239[/C][C]0.176306267324421[/C][/ROW]
[ROW][C]0.75[/C][C]79.8133031507651[/C][C]0.169372970912339[/C][/ROW]
[ROW][C]0.76[/C][C]79.8488287241691[/C][C]0.163166579149263[/C][/ROW]
[ROW][C]0.77[/C][C]79.8837667796027[/C][C]0.158116719055524[/C][/ROW]
[ROW][C]0.78[/C][C]79.9182703831994[/C][C]0.154071609154819[/C][/ROW]
[ROW][C]0.79[/C][C]79.9524456845129[/C][C]0.150764441237005[/C][/ROW]
[ROW][C]0.8[/C][C]79.9863057440737[/C][C]0.147422399803012[/C][/ROW]
[ROW][C]0.81[/C][C]80.0197541060403[/C][C]0.143366824399694[/C][/ROW]
[ROW][C]0.82[/C][C]80.0526075833621[/C][C]0.138103736737873[/C][/ROW]
[ROW][C]0.83[/C][C]80.0846588693565[/C][C]0.131373823303826[/C][/ROW]
[ROW][C]0.84[/C][C]80.1157686006307[/C][C]0.123666882914871[/C][/ROW]
[ROW][C]0.85[/C][C]80.1459654854262[/C][C]0.115616467931424[/C][/ROW]
[ROW][C]0.86[/C][C]80.1755246048105[/C][C]0.108518220554205[/C][/ROW]
[ROW][C]0.87[/C][C]80.2049904956876[/C][C]0.10373225757589[/C][/ROW]
[ROW][C]0.88[/C][C]80.2351153647878[/C][C]0.102172552195696[/C][/ROW]
[ROW][C]0.89[/C][C]80.2666959229933[/C][C]0.103976763795953[/C][/ROW]
[ROW][C]0.9[/C][C]80.3003172935629[/C][C]0.107994206742653[/C][/ROW]
[ROW][C]0.91[/C][C]80.3360509333365[/C][C]0.111897248983899[/C][/ROW]
[ROW][C]0.92[/C][C]80.3732022677585[/C][C]0.112665329709058[/C][/ROW]
[ROW][C]0.93[/C][C]80.4102473858747[/C][C]0.107578561107902[/C][/ROW]
[ROW][C]0.94[/C][C]80.445103943094[/C][C]0.0951010271522784[/C][/ROW]
[ROW][C]0.95[/C][C]80.4758028807786[/C][C]0.0762133010237526[/C][/ROW]
[ROW][C]0.96[/C][C]80.5014151860036[/C][C]0.0546750151945563[/C][/ROW]
[ROW][C]0.97[/C][C]80.5227093209874[/C][C]0.0365503887953083[/C][/ROW]
[ROW][C]0.98[/C][C]80.5415826293416[/C][C]0.0289039455373558[/C][/ROW]
[ROW][C]0.99[/C][C]80.5585406712188[/C][C]0.0329387033346473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128280&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128280&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
0.0174.98324914595790.0652122917488838
0.0275.03054638789230.11294687602822
0.0375.0924189418080.132327898509739
0.0475.15702678110.129196091852596
0.0575.21707210755440.120697391062237
0.0675.27114034145480.119376121212158
0.0775.32191734171890.13184377604773
0.0875.37410305140330.162249095547392
0.0975.43312212862890.213480932367116
0.175.50445040312880.286334932995838
0.1175.59307924203970.379117639415713
0.1275.7028619638860.485579687996803
0.1375.83577987921110.596166924102404
0.1475.99134566036230.698588410266769
0.1576.1663914335230.780185730305498
0.1676.35538770424110.831724564350658
0.1776.5512635050680.84841063597399
0.1876.74652834934280.831249334100691
0.1976.93440458370260.786262953910128
0.277.10969573937670.722730116885083
0.2177.26922341526750.650465109984019
0.2277.41180935429440.578628165812555
0.2377.53790356081610.513371423145108
0.2477.64902652626150.457827603223474
0.2577.74719647005020.412380342276559
0.2677.83446769256620.375260037131542
0.2777.91264113163340.344294874745793
0.2877.98314807848890.3172775646735
0.2978.04706778033840.292641237541777
0.378.10522311034480.26980158508956
0.3178.15830125437840.248778201604136
0.3278.20696047415030.2302497755362
0.3378.25190164268480.214957539236737
0.3478.29389882837770.203742609343326
0.3578.33379389906950.19693492848001
0.3678.37246541086180.195208768829996
0.3778.41078292444240.198192129941772
0.3878.44955604059430.205534191254934
0.3978.48948460942410.216157485647925
0.478.53111410013970.229313005232441
0.4178.57479874274180.243651278346535
0.4278.62067481414670.258039205914515
0.4378.66864684487730.270995930447763
0.4478.7183898141690.281222655692625
0.4578.76936989656470.287751563984486
0.4678.82088468374030.289574604663607
0.4778.87212117438950.286225636433124
0.4878.92222678043050.277809257073606
0.4978.97038595079720.264504875215182
0.579.01589353061090.247445654109548
0.5179.05821611964990.227573793288504
0.5279.09703449068580.206249865939835
0.5379.13226315616420.184996572293403
0.5479.1640467127950.164926774149243
0.5579.19273585081420.147365886477948
0.5679.21884823382810.133235714471063
0.5779.24302048199710.123082596033919
0.5879.2659572268330.117320650030214
0.5979.28838195965340.115805595683842
0.679.31099266655340.11835820856957
0.6179.33442356937380.124288969148003
0.6279.35921311540850.132733046070806
0.6379.38577792328130.143025559585384
0.6479.41439270223770.154225140055257
0.6579.44517698879620.165431416011925
0.6679.47809048592170.175917204180746
0.6779.51293936656050.184748072064625
0.6879.5493956842970.191202195633153
0.6979.58703076755970.195011193574496
0.779.62536119928070.195809282543342
0.7179.66390308501660.193816151706166
0.7279.70222748285250.189353654340802
0.7379.74000797178130.183191535820262
0.7479.7770511782390.176306267324421
0.7579.81330315076510.169372970912339
0.7679.84882872416910.163166579149263
0.7779.88376677960270.158116719055524
0.7879.91827038319940.154071609154819
0.7979.95244568451290.150764441237005
0.879.98630574407370.147422399803012
0.8180.01975410604030.143366824399694
0.8280.05260758336210.138103736737873
0.8380.08465886935650.131373823303826
0.8480.11576860063070.123666882914871
0.8580.14596548542620.115616467931424
0.8680.17552460481050.108518220554205
0.8780.20499049568760.10373225757589
0.8880.23511536478780.102172552195696
0.8980.26669592299330.103976763795953
0.980.30031729356290.107994206742653
0.9180.33605093333650.111897248983899
0.9280.37320226775850.112665329709058
0.9380.41024738587470.107578561107902
0.9480.4451039430940.0951010271522784
0.9580.47580288077860.0762133010237526
0.9680.50141518600360.0546750151945563
0.9780.52270932098740.0365503887953083
0.9880.54158262934160.0289039455373558
0.9980.55854067121880.0329387033346473


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')