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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 computationFri, 14 Aug 2009 05:36:00 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Aug/14/t1250249886c0r0ub3m9zpotn4.htm/, Retrieved Sat, 18 May 2024 20:43:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42603, Retrieved Sat, 18 May 2024 20:43:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact242

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] [Opgave 4 - stap 2...] [2009-08-14 11:36:00] [594470f14259f7e0de407f0568e168f2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.11
11.42
11.71
12.04
12.21
12
12.36
12.32
12.96
12.79
13.19
12.34
13.25
12.54
12.77
12.96
13
13.61
13.8
14.16
14.27
14.69
15.01
15.09
15.14
14.2
13.83
14.31
14.04
14.9
14.92
15.36
15.5
15.65
16.18
15.44
15.58
15.24
15.33
16.07
15.82
15.87
15.72
17.07
16.83
17.52
17.76
17.36
17.95
16.71
17.14
16.72
17.26
17.24
17.69
18.13
18.08
18.18
18.18
17.64
17.89
16.82
16.61
16.66
17.02
16.91
17.18
18.06
17.58
17.48
17.54
17.44
17.79
16.79
16.19
16.62
16.39
16.54
17.26
18
17.29
18.16
17.82
17.48
18.31
17.04
17.03
16.97
17.11
17.12
17.69
18.5
18.27
18.45
18.35
18.03
18.49
18.07
17.8
17.88
18.12
18.68
18.8
19.64
19.56
19.3
20.07
19.82
20.29
19.36
18.74
18.87
18.87
18.91
19.31
20.06
20.72
20.42
20.58
20.58
21.18
19.87
19.83
19.48
19.49
19.4
19.89
20.44
20.07
19.75
19.54
19.07

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42603&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42603&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42603&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111.63590289825450.256782897112838
0.0211.88589846292520.200569586698059
0.0312.05836649387390.165552352391002
0.0412.18492619627330.174574715580877
0.0512.30065917657640.204962624839718
0.0612.42108845343470.244675492659958
0.0712.55080645111450.283806745680510
0.0812.68938667596900.316574846419222
0.0912.83507289519830.347064408865239
0.112.98747002292890.382818546592318
0.1113.14774146620130.424811441693574
0.1213.31670744317280.465971910108918
0.1313.49313114334420.497663480689352
0.1413.67372300114750.515759494125524
0.1513.85451584688370.522033869899783
0.1614.03229588769980.521216244099745
0.1714.20514411547120.517045455986355
0.1814.37206820988590.510168033325024
0.1914.53232316994110.499084841787548
0.214.68502242616660.482420367766433
0.2114.82924976757740.460737840996582
0.2214.96448672379510.436851904013051
0.2315.09101646790070.414762721431713
0.2415.21005870437850.398326427034564
0.2515.32358580203910.389888356434278
0.2615.43392271222150.389989742301253
0.2715.54328280440340.397278120262891
0.2815.65336289248720.409106090301363
0.2915.76506735017760.422012066295569
0.315.87838965861900.432358997706199
0.3115.99245553930950.437029323968293
0.3216.10571345775390.433874799469367
0.3316.21623625875940.422037615598078
0.3416.32207400780730.402159195214528
0.3516.42158348995320.376187281926112
0.3616.51366470300850.346651417521117
0.3716.59786130518470.316348809105465
0.3816.67432204563170.287649962974795
0.3916.74365877644590.262125181904425
0.416.80675946878180.24039073137922
0.4116.86461483838130.222582289926295
0.4216.91819777292790.208322204005786
0.4316.96840631982620.197224735020012
0.4417.01605600098900.189059457771703
0.4517.06189436400850.183653761329757
0.4617.10661193488910.180924542668949
0.4717.15083500817650.180607696138446
0.4817.19509995553750.182263983659706
0.4917.23981955839160.185360465452384
0.517.28525585970340.189003799267827
0.5117.33151122939280.192672294508836
0.5217.37854228842060.195632191517533
0.5317.42619351595710.197608492537325
0.5417.47424173990500.198427812887193
0.5517.52244080729080.198115109246157
0.5617.57055737811350.196800974972526
0.5717.61839257573680.194692988129311
0.5817.66578845322440.192005209377209
0.5917.71262181610060.188797864032658
0.617.75879073491600.185229303411098
0.6117.80420137001030.181225516594175
0.6217.84876431382800.176864885016090
0.6317.89240937359400.172107541978663
0.6417.93512402199350.167206160552273
0.6517.9770130827520.162826044379955
0.6618.01836722422980.159638657168856
0.6718.05971927274960.158834905431851
0.6818.10186457274040.161497014751394
0.6918.14582729769980.168450437795710
0.718.19276820010400.179946747854389
0.7118.24384697056570.195532638483527
0.7218.30006847258410.214158439393351
0.7318.36215083804680.234265076591894
0.7418.43045016891680.254281642739996
0.7518.50495917175320.272860885909699
0.7618.58536772102980.289052076528238
0.7718.67114196437400.302353934554944
0.7818.76156335486870.312421546908105
0.7918.85568931592750.318744086715065
0.818.95225718657090.320173575892944
0.8119.04962547129910.315391366796409
0.8219.1458763881280.303530678374288
0.8319.23914307864190.285230592994625
0.8419.32808096974610.262981812954827
0.8519.41226048763070.240561231895875
0.8619.49223930948830.221454465770392
0.8719.56924049170340.207260996977105
0.8819.64463949425000.197150029737757
0.8919.71964183909950.189325727318226
0.919.79543328387480.183182574320869
0.9119.87373294553850.180241775602138
0.9219.95728842952170.182980011581279
0.9320.04959405037870.19222127793485
0.9420.15319011044060.203542750459751
0.9520.26694400450720.205849933540103
0.9620.38530629846500.188674765342205
0.9720.50641306102150.157931768450955
0.9820.65846409664430.159417336469459
0.9920.91187890298340.281148176467093

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11.6359028982545 & 0.256782897112838 \tabularnewline
0.02 & 11.8858984629252 & 0.200569586698059 \tabularnewline
0.03 & 12.0583664938739 & 0.165552352391002 \tabularnewline
0.04 & 12.1849261962733 & 0.174574715580877 \tabularnewline
0.05 & 12.3006591765764 & 0.204962624839718 \tabularnewline
0.06 & 12.4210884534347 & 0.244675492659958 \tabularnewline
0.07 & 12.5508064511145 & 0.283806745680510 \tabularnewline
0.08 & 12.6893866759690 & 0.316574846419222 \tabularnewline
0.09 & 12.8350728951983 & 0.347064408865239 \tabularnewline
0.1 & 12.9874700229289 & 0.382818546592318 \tabularnewline
0.11 & 13.1477414662013 & 0.424811441693574 \tabularnewline
0.12 & 13.3167074431728 & 0.465971910108918 \tabularnewline
0.13 & 13.4931311433442 & 0.497663480689352 \tabularnewline
0.14 & 13.6737230011475 & 0.515759494125524 \tabularnewline
0.15 & 13.8545158468837 & 0.522033869899783 \tabularnewline
0.16 & 14.0322958876998 & 0.521216244099745 \tabularnewline
0.17 & 14.2051441154712 & 0.517045455986355 \tabularnewline
0.18 & 14.3720682098859 & 0.510168033325024 \tabularnewline
0.19 & 14.5323231699411 & 0.499084841787548 \tabularnewline
0.2 & 14.6850224261666 & 0.482420367766433 \tabularnewline
0.21 & 14.8292497675774 & 0.460737840996582 \tabularnewline
0.22 & 14.9644867237951 & 0.436851904013051 \tabularnewline
0.23 & 15.0910164679007 & 0.414762721431713 \tabularnewline
0.24 & 15.2100587043785 & 0.398326427034564 \tabularnewline
0.25 & 15.3235858020391 & 0.389888356434278 \tabularnewline
0.26 & 15.4339227122215 & 0.389989742301253 \tabularnewline
0.27 & 15.5432828044034 & 0.397278120262891 \tabularnewline
0.28 & 15.6533628924872 & 0.409106090301363 \tabularnewline
0.29 & 15.7650673501776 & 0.422012066295569 \tabularnewline
0.3 & 15.8783896586190 & 0.432358997706199 \tabularnewline
0.31 & 15.9924555393095 & 0.437029323968293 \tabularnewline
0.32 & 16.1057134577539 & 0.433874799469367 \tabularnewline
0.33 & 16.2162362587594 & 0.422037615598078 \tabularnewline
0.34 & 16.3220740078073 & 0.402159195214528 \tabularnewline
0.35 & 16.4215834899532 & 0.376187281926112 \tabularnewline
0.36 & 16.5136647030085 & 0.346651417521117 \tabularnewline
0.37 & 16.5978613051847 & 0.316348809105465 \tabularnewline
0.38 & 16.6743220456317 & 0.287649962974795 \tabularnewline
0.39 & 16.7436587764459 & 0.262125181904425 \tabularnewline
0.4 & 16.8067594687818 & 0.24039073137922 \tabularnewline
0.41 & 16.8646148383813 & 0.222582289926295 \tabularnewline
0.42 & 16.9181977729279 & 0.208322204005786 \tabularnewline
0.43 & 16.9684063198262 & 0.197224735020012 \tabularnewline
0.44 & 17.0160560009890 & 0.189059457771703 \tabularnewline
0.45 & 17.0618943640085 & 0.183653761329757 \tabularnewline
0.46 & 17.1066119348891 & 0.180924542668949 \tabularnewline
0.47 & 17.1508350081765 & 0.180607696138446 \tabularnewline
0.48 & 17.1950999555375 & 0.182263983659706 \tabularnewline
0.49 & 17.2398195583916 & 0.185360465452384 \tabularnewline
0.5 & 17.2852558597034 & 0.189003799267827 \tabularnewline
0.51 & 17.3315112293928 & 0.192672294508836 \tabularnewline
0.52 & 17.3785422884206 & 0.195632191517533 \tabularnewline
0.53 & 17.4261935159571 & 0.197608492537325 \tabularnewline
0.54 & 17.4742417399050 & 0.198427812887193 \tabularnewline
0.55 & 17.5224408072908 & 0.198115109246157 \tabularnewline
0.56 & 17.5705573781135 & 0.196800974972526 \tabularnewline
0.57 & 17.6183925757368 & 0.194692988129311 \tabularnewline
0.58 & 17.6657884532244 & 0.192005209377209 \tabularnewline
0.59 & 17.7126218161006 & 0.188797864032658 \tabularnewline
0.6 & 17.7587907349160 & 0.185229303411098 \tabularnewline
0.61 & 17.8042013700103 & 0.181225516594175 \tabularnewline
0.62 & 17.8487643138280 & 0.176864885016090 \tabularnewline
0.63 & 17.8924093735940 & 0.172107541978663 \tabularnewline
0.64 & 17.9351240219935 & 0.167206160552273 \tabularnewline
0.65 & 17.977013082752 & 0.162826044379955 \tabularnewline
0.66 & 18.0183672242298 & 0.159638657168856 \tabularnewline
0.67 & 18.0597192727496 & 0.158834905431851 \tabularnewline
0.68 & 18.1018645727404 & 0.161497014751394 \tabularnewline
0.69 & 18.1458272976998 & 0.168450437795710 \tabularnewline
0.7 & 18.1927682001040 & 0.179946747854389 \tabularnewline
0.71 & 18.2438469705657 & 0.195532638483527 \tabularnewline
0.72 & 18.3000684725841 & 0.214158439393351 \tabularnewline
0.73 & 18.3621508380468 & 0.234265076591894 \tabularnewline
0.74 & 18.4304501689168 & 0.254281642739996 \tabularnewline
0.75 & 18.5049591717532 & 0.272860885909699 \tabularnewline
0.76 & 18.5853677210298 & 0.289052076528238 \tabularnewline
0.77 & 18.6711419643740 & 0.302353934554944 \tabularnewline
0.78 & 18.7615633548687 & 0.312421546908105 \tabularnewline
0.79 & 18.8556893159275 & 0.318744086715065 \tabularnewline
0.8 & 18.9522571865709 & 0.320173575892944 \tabularnewline
0.81 & 19.0496254712991 & 0.315391366796409 \tabularnewline
0.82 & 19.145876388128 & 0.303530678374288 \tabularnewline
0.83 & 19.2391430786419 & 0.285230592994625 \tabularnewline
0.84 & 19.3280809697461 & 0.262981812954827 \tabularnewline
0.85 & 19.4122604876307 & 0.240561231895875 \tabularnewline
0.86 & 19.4922393094883 & 0.221454465770392 \tabularnewline
0.87 & 19.5692404917034 & 0.207260996977105 \tabularnewline
0.88 & 19.6446394942500 & 0.197150029737757 \tabularnewline
0.89 & 19.7196418390995 & 0.189325727318226 \tabularnewline
0.9 & 19.7954332838748 & 0.183182574320869 \tabularnewline
0.91 & 19.8737329455385 & 0.180241775602138 \tabularnewline
0.92 & 19.9572884295217 & 0.182980011581279 \tabularnewline
0.93 & 20.0495940503787 & 0.19222127793485 \tabularnewline
0.94 & 20.1531901104406 & 0.203542750459751 \tabularnewline
0.95 & 20.2669440045072 & 0.205849933540103 \tabularnewline
0.96 & 20.3853062984650 & 0.188674765342205 \tabularnewline
0.97 & 20.5064130610215 & 0.157931768450955 \tabularnewline
0.98 & 20.6584640966443 & 0.159417336469459 \tabularnewline
0.99 & 20.9118789029834 & 0.281148176467093 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42603&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]11.6359028982545[/C][C]0.256782897112838[/C][/ROW]
[ROW][C]0.02[/C][C]11.8858984629252[/C][C]0.200569586698059[/C][/ROW]
[ROW][C]0.03[/C][C]12.0583664938739[/C][C]0.165552352391002[/C][/ROW]
[ROW][C]0.04[/C][C]12.1849261962733[/C][C]0.174574715580877[/C][/ROW]
[ROW][C]0.05[/C][C]12.3006591765764[/C][C]0.204962624839718[/C][/ROW]
[ROW][C]0.06[/C][C]12.4210884534347[/C][C]0.244675492659958[/C][/ROW]
[ROW][C]0.07[/C][C]12.5508064511145[/C][C]0.283806745680510[/C][/ROW]
[ROW][C]0.08[/C][C]12.6893866759690[/C][C]0.316574846419222[/C][/ROW]
[ROW][C]0.09[/C][C]12.8350728951983[/C][C]0.347064408865239[/C][/ROW]
[ROW][C]0.1[/C][C]12.9874700229289[/C][C]0.382818546592318[/C][/ROW]
[ROW][C]0.11[/C][C]13.1477414662013[/C][C]0.424811441693574[/C][/ROW]
[ROW][C]0.12[/C][C]13.3167074431728[/C][C]0.465971910108918[/C][/ROW]
[ROW][C]0.13[/C][C]13.4931311433442[/C][C]0.497663480689352[/C][/ROW]
[ROW][C]0.14[/C][C]13.6737230011475[/C][C]0.515759494125524[/C][/ROW]
[ROW][C]0.15[/C][C]13.8545158468837[/C][C]0.522033869899783[/C][/ROW]
[ROW][C]0.16[/C][C]14.0322958876998[/C][C]0.521216244099745[/C][/ROW]
[ROW][C]0.17[/C][C]14.2051441154712[/C][C]0.517045455986355[/C][/ROW]
[ROW][C]0.18[/C][C]14.3720682098859[/C][C]0.510168033325024[/C][/ROW]
[ROW][C]0.19[/C][C]14.5323231699411[/C][C]0.499084841787548[/C][/ROW]
[ROW][C]0.2[/C][C]14.6850224261666[/C][C]0.482420367766433[/C][/ROW]
[ROW][C]0.21[/C][C]14.8292497675774[/C][C]0.460737840996582[/C][/ROW]
[ROW][C]0.22[/C][C]14.9644867237951[/C][C]0.436851904013051[/C][/ROW]
[ROW][C]0.23[/C][C]15.0910164679007[/C][C]0.414762721431713[/C][/ROW]
[ROW][C]0.24[/C][C]15.2100587043785[/C][C]0.398326427034564[/C][/ROW]
[ROW][C]0.25[/C][C]15.3235858020391[/C][C]0.389888356434278[/C][/ROW]
[ROW][C]0.26[/C][C]15.4339227122215[/C][C]0.389989742301253[/C][/ROW]
[ROW][C]0.27[/C][C]15.5432828044034[/C][C]0.397278120262891[/C][/ROW]
[ROW][C]0.28[/C][C]15.6533628924872[/C][C]0.409106090301363[/C][/ROW]
[ROW][C]0.29[/C][C]15.7650673501776[/C][C]0.422012066295569[/C][/ROW]
[ROW][C]0.3[/C][C]15.8783896586190[/C][C]0.432358997706199[/C][/ROW]
[ROW][C]0.31[/C][C]15.9924555393095[/C][C]0.437029323968293[/C][/ROW]
[ROW][C]0.32[/C][C]16.1057134577539[/C][C]0.433874799469367[/C][/ROW]
[ROW][C]0.33[/C][C]16.2162362587594[/C][C]0.422037615598078[/C][/ROW]
[ROW][C]0.34[/C][C]16.3220740078073[/C][C]0.402159195214528[/C][/ROW]
[ROW][C]0.35[/C][C]16.4215834899532[/C][C]0.376187281926112[/C][/ROW]
[ROW][C]0.36[/C][C]16.5136647030085[/C][C]0.346651417521117[/C][/ROW]
[ROW][C]0.37[/C][C]16.5978613051847[/C][C]0.316348809105465[/C][/ROW]
[ROW][C]0.38[/C][C]16.6743220456317[/C][C]0.287649962974795[/C][/ROW]
[ROW][C]0.39[/C][C]16.7436587764459[/C][C]0.262125181904425[/C][/ROW]
[ROW][C]0.4[/C][C]16.8067594687818[/C][C]0.24039073137922[/C][/ROW]
[ROW][C]0.41[/C][C]16.8646148383813[/C][C]0.222582289926295[/C][/ROW]
[ROW][C]0.42[/C][C]16.9181977729279[/C][C]0.208322204005786[/C][/ROW]
[ROW][C]0.43[/C][C]16.9684063198262[/C][C]0.197224735020012[/C][/ROW]
[ROW][C]0.44[/C][C]17.0160560009890[/C][C]0.189059457771703[/C][/ROW]
[ROW][C]0.45[/C][C]17.0618943640085[/C][C]0.183653761329757[/C][/ROW]
[ROW][C]0.46[/C][C]17.1066119348891[/C][C]0.180924542668949[/C][/ROW]
[ROW][C]0.47[/C][C]17.1508350081765[/C][C]0.180607696138446[/C][/ROW]
[ROW][C]0.48[/C][C]17.1950999555375[/C][C]0.182263983659706[/C][/ROW]
[ROW][C]0.49[/C][C]17.2398195583916[/C][C]0.185360465452384[/C][/ROW]
[ROW][C]0.5[/C][C]17.2852558597034[/C][C]0.189003799267827[/C][/ROW]
[ROW][C]0.51[/C][C]17.3315112293928[/C][C]0.192672294508836[/C][/ROW]
[ROW][C]0.52[/C][C]17.3785422884206[/C][C]0.195632191517533[/C][/ROW]
[ROW][C]0.53[/C][C]17.4261935159571[/C][C]0.197608492537325[/C][/ROW]
[ROW][C]0.54[/C][C]17.4742417399050[/C][C]0.198427812887193[/C][/ROW]
[ROW][C]0.55[/C][C]17.5224408072908[/C][C]0.198115109246157[/C][/ROW]
[ROW][C]0.56[/C][C]17.5705573781135[/C][C]0.196800974972526[/C][/ROW]
[ROW][C]0.57[/C][C]17.6183925757368[/C][C]0.194692988129311[/C][/ROW]
[ROW][C]0.58[/C][C]17.6657884532244[/C][C]0.192005209377209[/C][/ROW]
[ROW][C]0.59[/C][C]17.7126218161006[/C][C]0.188797864032658[/C][/ROW]
[ROW][C]0.6[/C][C]17.7587907349160[/C][C]0.185229303411098[/C][/ROW]
[ROW][C]0.61[/C][C]17.8042013700103[/C][C]0.181225516594175[/C][/ROW]
[ROW][C]0.62[/C][C]17.8487643138280[/C][C]0.176864885016090[/C][/ROW]
[ROW][C]0.63[/C][C]17.8924093735940[/C][C]0.172107541978663[/C][/ROW]
[ROW][C]0.64[/C][C]17.9351240219935[/C][C]0.167206160552273[/C][/ROW]
[ROW][C]0.65[/C][C]17.977013082752[/C][C]0.162826044379955[/C][/ROW]
[ROW][C]0.66[/C][C]18.0183672242298[/C][C]0.159638657168856[/C][/ROW]
[ROW][C]0.67[/C][C]18.0597192727496[/C][C]0.158834905431851[/C][/ROW]
[ROW][C]0.68[/C][C]18.1018645727404[/C][C]0.161497014751394[/C][/ROW]
[ROW][C]0.69[/C][C]18.1458272976998[/C][C]0.168450437795710[/C][/ROW]
[ROW][C]0.7[/C][C]18.1927682001040[/C][C]0.179946747854389[/C][/ROW]
[ROW][C]0.71[/C][C]18.2438469705657[/C][C]0.195532638483527[/C][/ROW]
[ROW][C]0.72[/C][C]18.3000684725841[/C][C]0.214158439393351[/C][/ROW]
[ROW][C]0.73[/C][C]18.3621508380468[/C][C]0.234265076591894[/C][/ROW]
[ROW][C]0.74[/C][C]18.4304501689168[/C][C]0.254281642739996[/C][/ROW]
[ROW][C]0.75[/C][C]18.5049591717532[/C][C]0.272860885909699[/C][/ROW]
[ROW][C]0.76[/C][C]18.5853677210298[/C][C]0.289052076528238[/C][/ROW]
[ROW][C]0.77[/C][C]18.6711419643740[/C][C]0.302353934554944[/C][/ROW]
[ROW][C]0.78[/C][C]18.7615633548687[/C][C]0.312421546908105[/C][/ROW]
[ROW][C]0.79[/C][C]18.8556893159275[/C][C]0.318744086715065[/C][/ROW]
[ROW][C]0.8[/C][C]18.9522571865709[/C][C]0.320173575892944[/C][/ROW]
[ROW][C]0.81[/C][C]19.0496254712991[/C][C]0.315391366796409[/C][/ROW]
[ROW][C]0.82[/C][C]19.145876388128[/C][C]0.303530678374288[/C][/ROW]
[ROW][C]0.83[/C][C]19.2391430786419[/C][C]0.285230592994625[/C][/ROW]
[ROW][C]0.84[/C][C]19.3280809697461[/C][C]0.262981812954827[/C][/ROW]
[ROW][C]0.85[/C][C]19.4122604876307[/C][C]0.240561231895875[/C][/ROW]
[ROW][C]0.86[/C][C]19.4922393094883[/C][C]0.221454465770392[/C][/ROW]
[ROW][C]0.87[/C][C]19.5692404917034[/C][C]0.207260996977105[/C][/ROW]
[ROW][C]0.88[/C][C]19.6446394942500[/C][C]0.197150029737757[/C][/ROW]
[ROW][C]0.89[/C][C]19.7196418390995[/C][C]0.189325727318226[/C][/ROW]
[ROW][C]0.9[/C][C]19.7954332838748[/C][C]0.183182574320869[/C][/ROW]
[ROW][C]0.91[/C][C]19.8737329455385[/C][C]0.180241775602138[/C][/ROW]
[ROW][C]0.92[/C][C]19.9572884295217[/C][C]0.182980011581279[/C][/ROW]
[ROW][C]0.93[/C][C]20.0495940503787[/C][C]0.19222127793485[/C][/ROW]
[ROW][C]0.94[/C][C]20.1531901104406[/C][C]0.203542750459751[/C][/ROW]
[ROW][C]0.95[/C][C]20.2669440045072[/C][C]0.205849933540103[/C][/ROW]
[ROW][C]0.96[/C][C]20.3853062984650[/C][C]0.188674765342205[/C][/ROW]
[ROW][C]0.97[/C][C]20.5064130610215[/C][C]0.157931768450955[/C][/ROW]
[ROW][C]0.98[/C][C]20.6584640966443[/C][C]0.159417336469459[/C][/ROW]
[ROW][C]0.99[/C][C]20.9118789029834[/C][C]0.281148176467093[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42603&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42603&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
0.0111.63590289825450.256782897112838
0.0211.88589846292520.200569586698059
0.0312.05836649387390.165552352391002
0.0412.18492619627330.174574715580877
0.0512.30065917657640.204962624839718
0.0612.42108845343470.244675492659958
0.0712.55080645111450.283806745680510
0.0812.68938667596900.316574846419222
0.0912.83507289519830.347064408865239
0.112.98747002292890.382818546592318
0.1113.14774146620130.424811441693574
0.1213.31670744317280.465971910108918
0.1313.49313114334420.497663480689352
0.1413.67372300114750.515759494125524
0.1513.85451584688370.522033869899783
0.1614.03229588769980.521216244099745
0.1714.20514411547120.517045455986355
0.1814.37206820988590.510168033325024
0.1914.53232316994110.499084841787548
0.214.68502242616660.482420367766433
0.2114.82924976757740.460737840996582
0.2214.96448672379510.436851904013051
0.2315.09101646790070.414762721431713
0.2415.21005870437850.398326427034564
0.2515.32358580203910.389888356434278
0.2615.43392271222150.389989742301253
0.2715.54328280440340.397278120262891
0.2815.65336289248720.409106090301363
0.2915.76506735017760.422012066295569
0.315.87838965861900.432358997706199
0.3115.99245553930950.437029323968293
0.3216.10571345775390.433874799469367
0.3316.21623625875940.422037615598078
0.3416.32207400780730.402159195214528
0.3516.42158348995320.376187281926112
0.3616.51366470300850.346651417521117
0.3716.59786130518470.316348809105465
0.3816.67432204563170.287649962974795
0.3916.74365877644590.262125181904425
0.416.80675946878180.24039073137922
0.4116.86461483838130.222582289926295
0.4216.91819777292790.208322204005786
0.4316.96840631982620.197224735020012
0.4417.01605600098900.189059457771703
0.4517.06189436400850.183653761329757
0.4617.10661193488910.180924542668949
0.4717.15083500817650.180607696138446
0.4817.19509995553750.182263983659706
0.4917.23981955839160.185360465452384
0.517.28525585970340.189003799267827
0.5117.33151122939280.192672294508836
0.5217.37854228842060.195632191517533
0.5317.42619351595710.197608492537325
0.5417.47424173990500.198427812887193
0.5517.52244080729080.198115109246157
0.5617.57055737811350.196800974972526
0.5717.61839257573680.194692988129311
0.5817.66578845322440.192005209377209
0.5917.71262181610060.188797864032658
0.617.75879073491600.185229303411098
0.6117.80420137001030.181225516594175
0.6217.84876431382800.176864885016090
0.6317.89240937359400.172107541978663
0.6417.93512402199350.167206160552273
0.6517.9770130827520.162826044379955
0.6618.01836722422980.159638657168856
0.6718.05971927274960.158834905431851
0.6818.10186457274040.161497014751394
0.6918.14582729769980.168450437795710
0.718.19276820010400.179946747854389
0.7118.24384697056570.195532638483527
0.7218.30006847258410.214158439393351
0.7318.36215083804680.234265076591894
0.7418.43045016891680.254281642739996
0.7518.50495917175320.272860885909699
0.7618.58536772102980.289052076528238
0.7718.67114196437400.302353934554944
0.7818.76156335486870.312421546908105
0.7918.85568931592750.318744086715065
0.818.95225718657090.320173575892944
0.8119.04962547129910.315391366796409
0.8219.1458763881280.303530678374288
0.8319.23914307864190.285230592994625
0.8419.32808096974610.262981812954827
0.8519.41226048763070.240561231895875
0.8619.49223930948830.221454465770392
0.8719.56924049170340.207260996977105
0.8819.64463949425000.197150029737757
0.8919.71964183909950.189325727318226
0.919.79543328387480.183182574320869
0.9119.87373294553850.180241775602138
0.9219.95728842952170.182980011581279
0.9320.04959405037870.19222127793485
0.9420.15319011044060.203542750459751
0.9520.26694400450720.205849933540103
0.9620.38530629846500.188674765342205
0.9720.50641306102150.157931768450955
0.9820.65846409664430.159417336469459
0.9920.91187890298340.281148176467093


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')