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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Dec 2007 07:03:19 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/16/t1197812850jl48qagluzs3bxr.htm/, Retrieved Thu, 02 May 2024 12:47:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4177, Retrieved Thu, 02 May 2024 12:47:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201

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] [Harell-Davis Quan...] [2007-12-16 14:03:19] [014bfc073eb4f6c1ae65a07cc44c50c0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99
115,4
106,9
107,1
99,3
99,2
108,3
105,6
99,5
107,4
93,1
88,1
110,7
113,1
99,6
93,6
98,6
99,6
114,3
107,8
101,2
112,5
100,5
93,9
116,2
112
106,4
95,7
96
95,8
103
102,2
98,4
111,4
86,6
91,3
107,9
101,8
104,4
93,4
100,1
98,5
112,9
101,4
107,1
110,8
90,3
95,5
111,4
113
107,5
95,9
106,3
105,2
117,2
106,9
108,2
110
96,1
100,6

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4177&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4177&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0187.05607596598871.58265381309773
0.0287.80696427622111.77199728376964
0.0388.6946129673511.92274550092231
0.0489.59319096747181.96176741852923
0.0590.43266288163041.90245199124438
0.0691.18413912813761.78558264666591
0.0791.84215918617921.64605695841112
0.0892.41332614468131.50946163378583
0.0992.9099654700931.39460587769838
0.193.34632670800981.31117584686481
0.1193.73607206525011.25802980267841
0.1294.09072323439161.22554714384642
0.1394.4190411340761.20255402040502
0.1494.72723312616021.18227934961423
0.1595.0196933261131.16427142776602
0.1695.29987634073181.15291224750853
0.1795.57095341748661.15410711380342
0.1895.83606499729931.17139015476300
0.1996.09817727970151.20378182596116
0.296.35969413938581.24563772871709
0.2196.62203201797551.28835300775468
0.2296.88533904082081.32263980047303
0.2397.14846167602841.34094923851802
0.2497.40917074184361.33839346502782
0.2597.66458400187681.31392564373013
0.2697.91168139170341.26917138990810
0.2798.14780336966761.20857004480835
0.2898.37104505363431.13846595218753
0.2998.58049592941471.06577434061675
0.398.7763142325160.99710819982212
0.3198.95965709149990.938504800659809
0.3299.13250724234210.89443771309879
0.3399.29744395594460.86756103071708
0.3499.45740217789640.859399542771678
0.3599.6154536024420.869561871177049
0.3699.77463037314910.896948995907332
0.3799.93779937138730.93967995801957
0.38100.1075845311710.996015328041661
0.39100.2863271914571.06416966484328
0.4100.4760703454281.14233195977060
0.41100.6785515696611.22929577367144
0.42100.8951910389741.32330640287442
0.43101.1270648723811.42281082032632
0.44101.3748594932841.52535669013990
0.45101.6388089244111.62815752229392
0.46101.9186230052791.72786630432613
0.47102.2134193727531.82031182496546
0.48102.5216747381431.90157726478636
0.49102.8412108866491.9670705754414
0.5103.1692277545712.01299495273069
0.51103.5023903051062.03600562266803
0.52103.8369686417902.03407201223741
0.53104.1690231381372.00651276485882
0.54104.4946196876761.95392353429634
0.55104.8100556711421.87837948141788
0.56105.1120756539791.78340206636110
0.57105.3980573600981.67328965031928
0.58105.6661527286561.55361071923394
0.59105.9153749850031.42942670834138
0.6106.1456294932021.30648036340617
0.61106.3576924927621.18993404432181
0.62106.5531465973201.08441856160693
0.63106.7342844136490.99416323161921
0.64106.9039915310590.922429842810044
0.65107.0656176375330.87173060880955
0.66107.2228403452850.843991078197433
0.67107.3795216030190.839833177418515
0.68107.5395527814480.858891749553806
0.69107.7066831337370.899436677992671
0.7107.8843285225400.958521055287456
0.71108.0753634822011.03202139593238
0.72108.2819091108981.11447799967372
0.73108.5051398885591.19969888063451
0.74108.7451410729861.28082979767277
0.75109.0008511496991.35111513118836
0.76109.2701178562771.40441309602007
0.77109.5498804824131.43606850060625
0.78109.8364674213931.44379474527184
0.79110.1259716882701.42748082510618
0.8110.4146463436091.38969499947639
0.81110.6992551048981.33494138965478
0.82110.9773271087461.26876892810449
0.83111.2472992652251.19690635161914
0.84111.5085770246081.12410511283418
0.85111.7615878163611.05416428456354
0.86112.0079178402690.989938847294183
0.87112.2505899423910.93492668072567
0.88112.4944476823670.894570768331336
0.89112.7464738533150.877079834851154
0.9113.0157429210800.891689215818903
0.91113.3126744001630.943253568192377
0.92113.6474169678861.02568922647241
0.93114.0275950339191.11976805932701
0.94114.4561596587241.19671748895608
0.95114.9302439183281.22726179188378
0.96115.4409301612011.19412296301981
0.97115.9712656874341.10682411795433
0.98116.4878757323221.01160679971781
0.99116.9273989265560.969701387364175

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 87.0560759659887 & 1.58265381309773 \tabularnewline
0.02 & 87.8069642762211 & 1.77199728376964 \tabularnewline
0.03 & 88.694612967351 & 1.92274550092231 \tabularnewline
0.04 & 89.5931909674718 & 1.96176741852923 \tabularnewline
0.05 & 90.4326628816304 & 1.90245199124438 \tabularnewline
0.06 & 91.1841391281376 & 1.78558264666591 \tabularnewline
0.07 & 91.8421591861792 & 1.64605695841112 \tabularnewline
0.08 & 92.4133261446813 & 1.50946163378583 \tabularnewline
0.09 & 92.909965470093 & 1.39460587769838 \tabularnewline
0.1 & 93.3463267080098 & 1.31117584686481 \tabularnewline
0.11 & 93.7360720652501 & 1.25802980267841 \tabularnewline
0.12 & 94.0907232343916 & 1.22554714384642 \tabularnewline
0.13 & 94.419041134076 & 1.20255402040502 \tabularnewline
0.14 & 94.7272331261602 & 1.18227934961423 \tabularnewline
0.15 & 95.019693326113 & 1.16427142776602 \tabularnewline
0.16 & 95.2998763407318 & 1.15291224750853 \tabularnewline
0.17 & 95.5709534174866 & 1.15410711380342 \tabularnewline
0.18 & 95.8360649972993 & 1.17139015476300 \tabularnewline
0.19 & 96.0981772797015 & 1.20378182596116 \tabularnewline
0.2 & 96.3596941393858 & 1.24563772871709 \tabularnewline
0.21 & 96.6220320179755 & 1.28835300775468 \tabularnewline
0.22 & 96.8853390408208 & 1.32263980047303 \tabularnewline
0.23 & 97.1484616760284 & 1.34094923851802 \tabularnewline
0.24 & 97.4091707418436 & 1.33839346502782 \tabularnewline
0.25 & 97.6645840018768 & 1.31392564373013 \tabularnewline
0.26 & 97.9116813917034 & 1.26917138990810 \tabularnewline
0.27 & 98.1478033696676 & 1.20857004480835 \tabularnewline
0.28 & 98.3710450536343 & 1.13846595218753 \tabularnewline
0.29 & 98.5804959294147 & 1.06577434061675 \tabularnewline
0.3 & 98.776314232516 & 0.99710819982212 \tabularnewline
0.31 & 98.9596570914999 & 0.938504800659809 \tabularnewline
0.32 & 99.1325072423421 & 0.89443771309879 \tabularnewline
0.33 & 99.2974439559446 & 0.86756103071708 \tabularnewline
0.34 & 99.4574021778964 & 0.859399542771678 \tabularnewline
0.35 & 99.615453602442 & 0.869561871177049 \tabularnewline
0.36 & 99.7746303731491 & 0.896948995907332 \tabularnewline
0.37 & 99.9377993713873 & 0.93967995801957 \tabularnewline
0.38 & 100.107584531171 & 0.996015328041661 \tabularnewline
0.39 & 100.286327191457 & 1.06416966484328 \tabularnewline
0.4 & 100.476070345428 & 1.14233195977060 \tabularnewline
0.41 & 100.678551569661 & 1.22929577367144 \tabularnewline
0.42 & 100.895191038974 & 1.32330640287442 \tabularnewline
0.43 & 101.127064872381 & 1.42281082032632 \tabularnewline
0.44 & 101.374859493284 & 1.52535669013990 \tabularnewline
0.45 & 101.638808924411 & 1.62815752229392 \tabularnewline
0.46 & 101.918623005279 & 1.72786630432613 \tabularnewline
0.47 & 102.213419372753 & 1.82031182496546 \tabularnewline
0.48 & 102.521674738143 & 1.90157726478636 \tabularnewline
0.49 & 102.841210886649 & 1.9670705754414 \tabularnewline
0.5 & 103.169227754571 & 2.01299495273069 \tabularnewline
0.51 & 103.502390305106 & 2.03600562266803 \tabularnewline
0.52 & 103.836968641790 & 2.03407201223741 \tabularnewline
0.53 & 104.169023138137 & 2.00651276485882 \tabularnewline
0.54 & 104.494619687676 & 1.95392353429634 \tabularnewline
0.55 & 104.810055671142 & 1.87837948141788 \tabularnewline
0.56 & 105.112075653979 & 1.78340206636110 \tabularnewline
0.57 & 105.398057360098 & 1.67328965031928 \tabularnewline
0.58 & 105.666152728656 & 1.55361071923394 \tabularnewline
0.59 & 105.915374985003 & 1.42942670834138 \tabularnewline
0.6 & 106.145629493202 & 1.30648036340617 \tabularnewline
0.61 & 106.357692492762 & 1.18993404432181 \tabularnewline
0.62 & 106.553146597320 & 1.08441856160693 \tabularnewline
0.63 & 106.734284413649 & 0.99416323161921 \tabularnewline
0.64 & 106.903991531059 & 0.922429842810044 \tabularnewline
0.65 & 107.065617637533 & 0.87173060880955 \tabularnewline
0.66 & 107.222840345285 & 0.843991078197433 \tabularnewline
0.67 & 107.379521603019 & 0.839833177418515 \tabularnewline
0.68 & 107.539552781448 & 0.858891749553806 \tabularnewline
0.69 & 107.706683133737 & 0.899436677992671 \tabularnewline
0.7 & 107.884328522540 & 0.958521055287456 \tabularnewline
0.71 & 108.075363482201 & 1.03202139593238 \tabularnewline
0.72 & 108.281909110898 & 1.11447799967372 \tabularnewline
0.73 & 108.505139888559 & 1.19969888063451 \tabularnewline
0.74 & 108.745141072986 & 1.28082979767277 \tabularnewline
0.75 & 109.000851149699 & 1.35111513118836 \tabularnewline
0.76 & 109.270117856277 & 1.40441309602007 \tabularnewline
0.77 & 109.549880482413 & 1.43606850060625 \tabularnewline
0.78 & 109.836467421393 & 1.44379474527184 \tabularnewline
0.79 & 110.125971688270 & 1.42748082510618 \tabularnewline
0.8 & 110.414646343609 & 1.38969499947639 \tabularnewline
0.81 & 110.699255104898 & 1.33494138965478 \tabularnewline
0.82 & 110.977327108746 & 1.26876892810449 \tabularnewline
0.83 & 111.247299265225 & 1.19690635161914 \tabularnewline
0.84 & 111.508577024608 & 1.12410511283418 \tabularnewline
0.85 & 111.761587816361 & 1.05416428456354 \tabularnewline
0.86 & 112.007917840269 & 0.989938847294183 \tabularnewline
0.87 & 112.250589942391 & 0.93492668072567 \tabularnewline
0.88 & 112.494447682367 & 0.894570768331336 \tabularnewline
0.89 & 112.746473853315 & 0.877079834851154 \tabularnewline
0.9 & 113.015742921080 & 0.891689215818903 \tabularnewline
0.91 & 113.312674400163 & 0.943253568192377 \tabularnewline
0.92 & 113.647416967886 & 1.02568922647241 \tabularnewline
0.93 & 114.027595033919 & 1.11976805932701 \tabularnewline
0.94 & 114.456159658724 & 1.19671748895608 \tabularnewline
0.95 & 114.930243918328 & 1.22726179188378 \tabularnewline
0.96 & 115.440930161201 & 1.19412296301981 \tabularnewline
0.97 & 115.971265687434 & 1.10682411795433 \tabularnewline
0.98 & 116.487875732322 & 1.01160679971781 \tabularnewline
0.99 & 116.927398926556 & 0.969701387364175 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4177&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]87.0560759659887[/C][C]1.58265381309773[/C][/ROW]
[ROW][C]0.02[/C][C]87.8069642762211[/C][C]1.77199728376964[/C][/ROW]
[ROW][C]0.03[/C][C]88.694612967351[/C][C]1.92274550092231[/C][/ROW]
[ROW][C]0.04[/C][C]89.5931909674718[/C][C]1.96176741852923[/C][/ROW]
[ROW][C]0.05[/C][C]90.4326628816304[/C][C]1.90245199124438[/C][/ROW]
[ROW][C]0.06[/C][C]91.1841391281376[/C][C]1.78558264666591[/C][/ROW]
[ROW][C]0.07[/C][C]91.8421591861792[/C][C]1.64605695841112[/C][/ROW]
[ROW][C]0.08[/C][C]92.4133261446813[/C][C]1.50946163378583[/C][/ROW]
[ROW][C]0.09[/C][C]92.909965470093[/C][C]1.39460587769838[/C][/ROW]
[ROW][C]0.1[/C][C]93.3463267080098[/C][C]1.31117584686481[/C][/ROW]
[ROW][C]0.11[/C][C]93.7360720652501[/C][C]1.25802980267841[/C][/ROW]
[ROW][C]0.12[/C][C]94.0907232343916[/C][C]1.22554714384642[/C][/ROW]
[ROW][C]0.13[/C][C]94.419041134076[/C][C]1.20255402040502[/C][/ROW]
[ROW][C]0.14[/C][C]94.7272331261602[/C][C]1.18227934961423[/C][/ROW]
[ROW][C]0.15[/C][C]95.019693326113[/C][C]1.16427142776602[/C][/ROW]
[ROW][C]0.16[/C][C]95.2998763407318[/C][C]1.15291224750853[/C][/ROW]
[ROW][C]0.17[/C][C]95.5709534174866[/C][C]1.15410711380342[/C][/ROW]
[ROW][C]0.18[/C][C]95.8360649972993[/C][C]1.17139015476300[/C][/ROW]
[ROW][C]0.19[/C][C]96.0981772797015[/C][C]1.20378182596116[/C][/ROW]
[ROW][C]0.2[/C][C]96.3596941393858[/C][C]1.24563772871709[/C][/ROW]
[ROW][C]0.21[/C][C]96.6220320179755[/C][C]1.28835300775468[/C][/ROW]
[ROW][C]0.22[/C][C]96.8853390408208[/C][C]1.32263980047303[/C][/ROW]
[ROW][C]0.23[/C][C]97.1484616760284[/C][C]1.34094923851802[/C][/ROW]
[ROW][C]0.24[/C][C]97.4091707418436[/C][C]1.33839346502782[/C][/ROW]
[ROW][C]0.25[/C][C]97.6645840018768[/C][C]1.31392564373013[/C][/ROW]
[ROW][C]0.26[/C][C]97.9116813917034[/C][C]1.26917138990810[/C][/ROW]
[ROW][C]0.27[/C][C]98.1478033696676[/C][C]1.20857004480835[/C][/ROW]
[ROW][C]0.28[/C][C]98.3710450536343[/C][C]1.13846595218753[/C][/ROW]
[ROW][C]0.29[/C][C]98.5804959294147[/C][C]1.06577434061675[/C][/ROW]
[ROW][C]0.3[/C][C]98.776314232516[/C][C]0.99710819982212[/C][/ROW]
[ROW][C]0.31[/C][C]98.9596570914999[/C][C]0.938504800659809[/C][/ROW]
[ROW][C]0.32[/C][C]99.1325072423421[/C][C]0.89443771309879[/C][/ROW]
[ROW][C]0.33[/C][C]99.2974439559446[/C][C]0.86756103071708[/C][/ROW]
[ROW][C]0.34[/C][C]99.4574021778964[/C][C]0.859399542771678[/C][/ROW]
[ROW][C]0.35[/C][C]99.615453602442[/C][C]0.869561871177049[/C][/ROW]
[ROW][C]0.36[/C][C]99.7746303731491[/C][C]0.896948995907332[/C][/ROW]
[ROW][C]0.37[/C][C]99.9377993713873[/C][C]0.93967995801957[/C][/ROW]
[ROW][C]0.38[/C][C]100.107584531171[/C][C]0.996015328041661[/C][/ROW]
[ROW][C]0.39[/C][C]100.286327191457[/C][C]1.06416966484328[/C][/ROW]
[ROW][C]0.4[/C][C]100.476070345428[/C][C]1.14233195977060[/C][/ROW]
[ROW][C]0.41[/C][C]100.678551569661[/C][C]1.22929577367144[/C][/ROW]
[ROW][C]0.42[/C][C]100.895191038974[/C][C]1.32330640287442[/C][/ROW]
[ROW][C]0.43[/C][C]101.127064872381[/C][C]1.42281082032632[/C][/ROW]
[ROW][C]0.44[/C][C]101.374859493284[/C][C]1.52535669013990[/C][/ROW]
[ROW][C]0.45[/C][C]101.638808924411[/C][C]1.62815752229392[/C][/ROW]
[ROW][C]0.46[/C][C]101.918623005279[/C][C]1.72786630432613[/C][/ROW]
[ROW][C]0.47[/C][C]102.213419372753[/C][C]1.82031182496546[/C][/ROW]
[ROW][C]0.48[/C][C]102.521674738143[/C][C]1.90157726478636[/C][/ROW]
[ROW][C]0.49[/C][C]102.841210886649[/C][C]1.9670705754414[/C][/ROW]
[ROW][C]0.5[/C][C]103.169227754571[/C][C]2.01299495273069[/C][/ROW]
[ROW][C]0.51[/C][C]103.502390305106[/C][C]2.03600562266803[/C][/ROW]
[ROW][C]0.52[/C][C]103.836968641790[/C][C]2.03407201223741[/C][/ROW]
[ROW][C]0.53[/C][C]104.169023138137[/C][C]2.00651276485882[/C][/ROW]
[ROW][C]0.54[/C][C]104.494619687676[/C][C]1.95392353429634[/C][/ROW]
[ROW][C]0.55[/C][C]104.810055671142[/C][C]1.87837948141788[/C][/ROW]
[ROW][C]0.56[/C][C]105.112075653979[/C][C]1.78340206636110[/C][/ROW]
[ROW][C]0.57[/C][C]105.398057360098[/C][C]1.67328965031928[/C][/ROW]
[ROW][C]0.58[/C][C]105.666152728656[/C][C]1.55361071923394[/C][/ROW]
[ROW][C]0.59[/C][C]105.915374985003[/C][C]1.42942670834138[/C][/ROW]
[ROW][C]0.6[/C][C]106.145629493202[/C][C]1.30648036340617[/C][/ROW]
[ROW][C]0.61[/C][C]106.357692492762[/C][C]1.18993404432181[/C][/ROW]
[ROW][C]0.62[/C][C]106.553146597320[/C][C]1.08441856160693[/C][/ROW]
[ROW][C]0.63[/C][C]106.734284413649[/C][C]0.99416323161921[/C][/ROW]
[ROW][C]0.64[/C][C]106.903991531059[/C][C]0.922429842810044[/C][/ROW]
[ROW][C]0.65[/C][C]107.065617637533[/C][C]0.87173060880955[/C][/ROW]
[ROW][C]0.66[/C][C]107.222840345285[/C][C]0.843991078197433[/C][/ROW]
[ROW][C]0.67[/C][C]107.379521603019[/C][C]0.839833177418515[/C][/ROW]
[ROW][C]0.68[/C][C]107.539552781448[/C][C]0.858891749553806[/C][/ROW]
[ROW][C]0.69[/C][C]107.706683133737[/C][C]0.899436677992671[/C][/ROW]
[ROW][C]0.7[/C][C]107.884328522540[/C][C]0.958521055287456[/C][/ROW]
[ROW][C]0.71[/C][C]108.075363482201[/C][C]1.03202139593238[/C][/ROW]
[ROW][C]0.72[/C][C]108.281909110898[/C][C]1.11447799967372[/C][/ROW]
[ROW][C]0.73[/C][C]108.505139888559[/C][C]1.19969888063451[/C][/ROW]
[ROW][C]0.74[/C][C]108.745141072986[/C][C]1.28082979767277[/C][/ROW]
[ROW][C]0.75[/C][C]109.000851149699[/C][C]1.35111513118836[/C][/ROW]
[ROW][C]0.76[/C][C]109.270117856277[/C][C]1.40441309602007[/C][/ROW]
[ROW][C]0.77[/C][C]109.549880482413[/C][C]1.43606850060625[/C][/ROW]
[ROW][C]0.78[/C][C]109.836467421393[/C][C]1.44379474527184[/C][/ROW]
[ROW][C]0.79[/C][C]110.125971688270[/C][C]1.42748082510618[/C][/ROW]
[ROW][C]0.8[/C][C]110.414646343609[/C][C]1.38969499947639[/C][/ROW]
[ROW][C]0.81[/C][C]110.699255104898[/C][C]1.33494138965478[/C][/ROW]
[ROW][C]0.82[/C][C]110.977327108746[/C][C]1.26876892810449[/C][/ROW]
[ROW][C]0.83[/C][C]111.247299265225[/C][C]1.19690635161914[/C][/ROW]
[ROW][C]0.84[/C][C]111.508577024608[/C][C]1.12410511283418[/C][/ROW]
[ROW][C]0.85[/C][C]111.761587816361[/C][C]1.05416428456354[/C][/ROW]
[ROW][C]0.86[/C][C]112.007917840269[/C][C]0.989938847294183[/C][/ROW]
[ROW][C]0.87[/C][C]112.250589942391[/C][C]0.93492668072567[/C][/ROW]
[ROW][C]0.88[/C][C]112.494447682367[/C][C]0.894570768331336[/C][/ROW]
[ROW][C]0.89[/C][C]112.746473853315[/C][C]0.877079834851154[/C][/ROW]
[ROW][C]0.9[/C][C]113.015742921080[/C][C]0.891689215818903[/C][/ROW]
[ROW][C]0.91[/C][C]113.312674400163[/C][C]0.943253568192377[/C][/ROW]
[ROW][C]0.92[/C][C]113.647416967886[/C][C]1.02568922647241[/C][/ROW]
[ROW][C]0.93[/C][C]114.027595033919[/C][C]1.11976805932701[/C][/ROW]
[ROW][C]0.94[/C][C]114.456159658724[/C][C]1.19671748895608[/C][/ROW]
[ROW][C]0.95[/C][C]114.930243918328[/C][C]1.22726179188378[/C][/ROW]
[ROW][C]0.96[/C][C]115.440930161201[/C][C]1.19412296301981[/C][/ROW]
[ROW][C]0.97[/C][C]115.971265687434[/C][C]1.10682411795433[/C][/ROW]
[ROW][C]0.98[/C][C]116.487875732322[/C][C]1.01160679971781[/C][/ROW]
[ROW][C]0.99[/C][C]116.927398926556[/C][C]0.969701387364175[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4177&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
0.0187.05607596598871.58265381309773
0.0287.80696427622111.77199728376964
0.0388.6946129673511.92274550092231
0.0489.59319096747181.96176741852923
0.0590.43266288163041.90245199124438
0.0691.18413912813761.78558264666591
0.0791.84215918617921.64605695841112
0.0892.41332614468131.50946163378583
0.0992.9099654700931.39460587769838
0.193.34632670800981.31117584686481
0.1193.73607206525011.25802980267841
0.1294.09072323439161.22554714384642
0.1394.4190411340761.20255402040502
0.1494.72723312616021.18227934961423
0.1595.0196933261131.16427142776602
0.1695.29987634073181.15291224750853
0.1795.57095341748661.15410711380342
0.1895.83606499729931.17139015476300
0.1996.09817727970151.20378182596116
0.296.35969413938581.24563772871709
0.2196.62203201797551.28835300775468
0.2296.88533904082081.32263980047303
0.2397.14846167602841.34094923851802
0.2497.40917074184361.33839346502782
0.2597.66458400187681.31392564373013
0.2697.91168139170341.26917138990810
0.2798.14780336966761.20857004480835
0.2898.37104505363431.13846595218753
0.2998.58049592941471.06577434061675
0.398.7763142325160.99710819982212
0.3198.95965709149990.938504800659809
0.3299.13250724234210.89443771309879
0.3399.29744395594460.86756103071708
0.3499.45740217789640.859399542771678
0.3599.6154536024420.869561871177049
0.3699.77463037314910.896948995907332
0.3799.93779937138730.93967995801957
0.38100.1075845311710.996015328041661
0.39100.2863271914571.06416966484328
0.4100.4760703454281.14233195977060
0.41100.6785515696611.22929577367144
0.42100.8951910389741.32330640287442
0.43101.1270648723811.42281082032632
0.44101.3748594932841.52535669013990
0.45101.6388089244111.62815752229392
0.46101.9186230052791.72786630432613
0.47102.2134193727531.82031182496546
0.48102.5216747381431.90157726478636
0.49102.8412108866491.9670705754414
0.5103.1692277545712.01299495273069
0.51103.5023903051062.03600562266803
0.52103.8369686417902.03407201223741
0.53104.1690231381372.00651276485882
0.54104.4946196876761.95392353429634
0.55104.8100556711421.87837948141788
0.56105.1120756539791.78340206636110
0.57105.3980573600981.67328965031928
0.58105.6661527286561.55361071923394
0.59105.9153749850031.42942670834138
0.6106.1456294932021.30648036340617
0.61106.3576924927621.18993404432181
0.62106.5531465973201.08441856160693
0.63106.7342844136490.99416323161921
0.64106.9039915310590.922429842810044
0.65107.0656176375330.87173060880955
0.66107.2228403452850.843991078197433
0.67107.3795216030190.839833177418515
0.68107.5395527814480.858891749553806
0.69107.7066831337370.899436677992671
0.7107.8843285225400.958521055287456
0.71108.0753634822011.03202139593238
0.72108.2819091108981.11447799967372
0.73108.5051398885591.19969888063451
0.74108.7451410729861.28082979767277
0.75109.0008511496991.35111513118836
0.76109.2701178562771.40441309602007
0.77109.5498804824131.43606850060625
0.78109.8364674213931.44379474527184
0.79110.1259716882701.42748082510618
0.8110.4146463436091.38969499947639
0.81110.6992551048981.33494138965478
0.82110.9773271087461.26876892810449
0.83111.2472992652251.19690635161914
0.84111.5085770246081.12410511283418
0.85111.7615878163611.05416428456354
0.86112.0079178402690.989938847294183
0.87112.2505899423910.93492668072567
0.88112.4944476823670.894570768331336
0.89112.7464738533150.877079834851154
0.9113.0157429210800.891689215818903
0.91113.3126744001630.943253568192377
0.92113.6474169678861.02568922647241
0.93114.0275950339191.11976805932701
0.94114.4561596587241.19671748895608
0.95114.9302439183281.22726179188378
0.96115.4409301612011.19412296301981
0.97115.9712656874341.10682411795433
0.98116.4878757323221.01160679971781
0.99116.9273989265560.969701387364175


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')