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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, 07 Oct 2011 14:47:54 -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/07/t1318013349ewo6v2f9z0rj2ki.htm/, Retrieved Thu, 16 May 2024 15:01:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127250, Retrieved Thu, 16 May 2024 15:01:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact88

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2011-10-07 18:47:54] [a37c4e2766dbfff97993810aa18b7ce1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18.94
18.97
19
19.08
19.18
19.24
19.23
19.25
19.3
19.33
19.35
19.35
19.31
19.47
19.7
19.76
19.9
19.97
20.1
20.26
20.44
20.43
20.57
20.6
20.69
20.93
20.98
21.11
21.14
21.16
21.32
21.32
21.48
21.58
21.74
21.75
21.81
21.89
22.21
22.37
22.47
22.51
22.55
22.61
22.58
22.85
22.93
22.98
23.01
23.11
23.18
23.18
23.21
23.22
23.12
23.15
23.16
23.21
23.21
23.22
23.25
23.39
23.41
23.45
23.46
23.44
23.54
23.62
23.86
24.07
24.13
24.12

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'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127250&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127250&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127250&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0118.95286140941130.0353750184712394
0.0218.97689495159320.0524625246179863
0.0319.00930057647130.073959342399786
0.0419.04721923584730.0905724263764392
0.0519.08757426791320.097861281675529
0.0619.12727637539130.0962087837356912
0.0719.16396824530140.0890458664493803
0.0819.19655121464540.0806715536479712
0.0919.22519352710530.074761972466279
0.119.25098816990.0738681335768634
0.1119.27553206128230.0792299220904647
0.1219.30059219987040.0912628570484629
0.1319.3278932051820.109775506380105
0.1419.35898787144620.13409512995186
0.1519.39516277620930.163093357114049
0.1619.43735577704160.195170642511271
0.1719.48609046151510.228369747633077
0.1819.54144628461530.260753156222442
0.1919.60307930168770.290622074808509
0.219.6702940830040.316626770306613
0.2119.74215239053960.338113612965598
0.2219.81759567334880.354867287560727
0.2319.89555862555090.367124101719265
0.2419.97505787210910.375366682573123
0.2520.05524916409970.380294240490384
0.2620.13545446312620.382545639809432
0.2720.21516495152590.382784201112185
0.2820.2940273078030.381661137867371
0.2920.37181980544050.379697764976031
0.320.44842343435960.377272006820586
0.3120.52379225593340.374681048248092
0.3220.59792671909160.371961569074791
0.3320.67085324708980.369220598564533
0.3420.74261251287650.366344721673195
0.3520.81325722803780.363353816696158
0.3620.88285821590510.360421370315394
0.3720.95151560610170.357720571390892
0.3821.01937080640690.355623224165793
0.3921.08661486101260.354506534530316
0.421.15348986673430.354768953857032
0.4121.22028188914210.356619588498218
0.4221.28730570878290.360301576468192
0.4321.35488320002950.365678776941763
0.4421.42331791802790.372666356565006
0.4521.49286857620590.38085215928765
0.4621.56372381373840.38978506162732
0.4721.63598032611490.3989070042526
0.4821.70962629369660.40755918972756
0.4921.7845320896820.415019092208267
0.521.86045024354070.420608187141055
0.5121.93702622921320.423701651106986
0.5222.01382056607350.423826984378787
0.5322.09034094395760.420729703708619
0.5422.16608092517530.41439518555129
0.5522.24055982805180.405191060482379
0.5622.31335734200090.39353422160213
0.5722.38413678820980.380186663867063
0.5822.45265286691030.365730391916096
0.5922.5187428832770.350815135464576
0.622.58230406266390.335742681891512
0.6122.64326269567380.320648003302592
0.6222.70154263589190.305388209150092
0.6322.7570406206910.289648100458761
0.6422.80961403475780.273105228438094
0.6522.85908362755360.25551387928084
0.6622.90525019529060.236778152625414
0.6722.94792126413750.216970410661102
0.6822.98694206875970.196389356976818
0.6923.02222491906640.175508259199452
0.723.05377225679330.154878466694822
0.7123.08169082894770.135078857998014
0.7223.10619675387620.116677777030247
0.7323.12761312218830.100153581147477
0.7423.14636261082720.085956235418091
0.7523.16295713677650.0744615860223564
0.7623.17798496514540.0659789099966748
0.7723.1920934766950.0608505685543656
0.7823.20596395784640.0592162076036476
0.7923.22027450250560.0610420270056911
0.823.23564948852380.06579840806376
0.8123.25259954345760.0726340013333444
0.8223.27146368063450.0804189637438927
0.8323.29237312006330.0879048646624084
0.8423.31526076453850.0940067689911277
0.8523.33993774313120.098017084413671
0.8623.36624651177410.0999597567406145
0.8723.39427888328470.100797106457197
0.8823.42461985707470.102614140590893
0.8923.4585484398450.108266549605874
0.923.49809910004960.12059814388213
0.9123.54586815271640.140991706092646
0.9223.60445328212430.168161310280287
0.9323.67547518802740.197470572661995
0.9423.75829691037650.220867165304697
0.9523.84885172439120.228050281895149
0.9623.93932122294380.209957610313433
0.9724.01947631520550.164382011611001
0.9824.07989318769580.101072898399194
0.9924.11590844468080.0413473802063276

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 18.9528614094113 & 0.0353750184712394 \tabularnewline
0.02 & 18.9768949515932 & 0.0524625246179863 \tabularnewline
0.03 & 19.0093005764713 & 0.073959342399786 \tabularnewline
0.04 & 19.0472192358473 & 0.0905724263764392 \tabularnewline
0.05 & 19.0875742679132 & 0.097861281675529 \tabularnewline
0.06 & 19.1272763753913 & 0.0962087837356912 \tabularnewline
0.07 & 19.1639682453014 & 0.0890458664493803 \tabularnewline
0.08 & 19.1965512146454 & 0.0806715536479712 \tabularnewline
0.09 & 19.2251935271053 & 0.074761972466279 \tabularnewline
0.1 & 19.2509881699 & 0.0738681335768634 \tabularnewline
0.11 & 19.2755320612823 & 0.0792299220904647 \tabularnewline
0.12 & 19.3005921998704 & 0.0912628570484629 \tabularnewline
0.13 & 19.327893205182 & 0.109775506380105 \tabularnewline
0.14 & 19.3589878714462 & 0.13409512995186 \tabularnewline
0.15 & 19.3951627762093 & 0.163093357114049 \tabularnewline
0.16 & 19.4373557770416 & 0.195170642511271 \tabularnewline
0.17 & 19.4860904615151 & 0.228369747633077 \tabularnewline
0.18 & 19.5414462846153 & 0.260753156222442 \tabularnewline
0.19 & 19.6030793016877 & 0.290622074808509 \tabularnewline
0.2 & 19.670294083004 & 0.316626770306613 \tabularnewline
0.21 & 19.7421523905396 & 0.338113612965598 \tabularnewline
0.22 & 19.8175956733488 & 0.354867287560727 \tabularnewline
0.23 & 19.8955586255509 & 0.367124101719265 \tabularnewline
0.24 & 19.9750578721091 & 0.375366682573123 \tabularnewline
0.25 & 20.0552491640997 & 0.380294240490384 \tabularnewline
0.26 & 20.1354544631262 & 0.382545639809432 \tabularnewline
0.27 & 20.2151649515259 & 0.382784201112185 \tabularnewline
0.28 & 20.294027307803 & 0.381661137867371 \tabularnewline
0.29 & 20.3718198054405 & 0.379697764976031 \tabularnewline
0.3 & 20.4484234343596 & 0.377272006820586 \tabularnewline
0.31 & 20.5237922559334 & 0.374681048248092 \tabularnewline
0.32 & 20.5979267190916 & 0.371961569074791 \tabularnewline
0.33 & 20.6708532470898 & 0.369220598564533 \tabularnewline
0.34 & 20.7426125128765 & 0.366344721673195 \tabularnewline
0.35 & 20.8132572280378 & 0.363353816696158 \tabularnewline
0.36 & 20.8828582159051 & 0.360421370315394 \tabularnewline
0.37 & 20.9515156061017 & 0.357720571390892 \tabularnewline
0.38 & 21.0193708064069 & 0.355623224165793 \tabularnewline
0.39 & 21.0866148610126 & 0.354506534530316 \tabularnewline
0.4 & 21.1534898667343 & 0.354768953857032 \tabularnewline
0.41 & 21.2202818891421 & 0.356619588498218 \tabularnewline
0.42 & 21.2873057087829 & 0.360301576468192 \tabularnewline
0.43 & 21.3548832000295 & 0.365678776941763 \tabularnewline
0.44 & 21.4233179180279 & 0.372666356565006 \tabularnewline
0.45 & 21.4928685762059 & 0.38085215928765 \tabularnewline
0.46 & 21.5637238137384 & 0.38978506162732 \tabularnewline
0.47 & 21.6359803261149 & 0.3989070042526 \tabularnewline
0.48 & 21.7096262936966 & 0.40755918972756 \tabularnewline
0.49 & 21.784532089682 & 0.415019092208267 \tabularnewline
0.5 & 21.8604502435407 & 0.420608187141055 \tabularnewline
0.51 & 21.9370262292132 & 0.423701651106986 \tabularnewline
0.52 & 22.0138205660735 & 0.423826984378787 \tabularnewline
0.53 & 22.0903409439576 & 0.420729703708619 \tabularnewline
0.54 & 22.1660809251753 & 0.41439518555129 \tabularnewline
0.55 & 22.2405598280518 & 0.405191060482379 \tabularnewline
0.56 & 22.3133573420009 & 0.39353422160213 \tabularnewline
0.57 & 22.3841367882098 & 0.380186663867063 \tabularnewline
0.58 & 22.4526528669103 & 0.365730391916096 \tabularnewline
0.59 & 22.518742883277 & 0.350815135464576 \tabularnewline
0.6 & 22.5823040626639 & 0.335742681891512 \tabularnewline
0.61 & 22.6432626956738 & 0.320648003302592 \tabularnewline
0.62 & 22.7015426358919 & 0.305388209150092 \tabularnewline
0.63 & 22.757040620691 & 0.289648100458761 \tabularnewline
0.64 & 22.8096140347578 & 0.273105228438094 \tabularnewline
0.65 & 22.8590836275536 & 0.25551387928084 \tabularnewline
0.66 & 22.9052501952906 & 0.236778152625414 \tabularnewline
0.67 & 22.9479212641375 & 0.216970410661102 \tabularnewline
0.68 & 22.9869420687597 & 0.196389356976818 \tabularnewline
0.69 & 23.0222249190664 & 0.175508259199452 \tabularnewline
0.7 & 23.0537722567933 & 0.154878466694822 \tabularnewline
0.71 & 23.0816908289477 & 0.135078857998014 \tabularnewline
0.72 & 23.1061967538762 & 0.116677777030247 \tabularnewline
0.73 & 23.1276131221883 & 0.100153581147477 \tabularnewline
0.74 & 23.1463626108272 & 0.085956235418091 \tabularnewline
0.75 & 23.1629571367765 & 0.0744615860223564 \tabularnewline
0.76 & 23.1779849651454 & 0.0659789099966748 \tabularnewline
0.77 & 23.192093476695 & 0.0608505685543656 \tabularnewline
0.78 & 23.2059639578464 & 0.0592162076036476 \tabularnewline
0.79 & 23.2202745025056 & 0.0610420270056911 \tabularnewline
0.8 & 23.2356494885238 & 0.06579840806376 \tabularnewline
0.81 & 23.2525995434576 & 0.0726340013333444 \tabularnewline
0.82 & 23.2714636806345 & 0.0804189637438927 \tabularnewline
0.83 & 23.2923731200633 & 0.0879048646624084 \tabularnewline
0.84 & 23.3152607645385 & 0.0940067689911277 \tabularnewline
0.85 & 23.3399377431312 & 0.098017084413671 \tabularnewline
0.86 & 23.3662465117741 & 0.0999597567406145 \tabularnewline
0.87 & 23.3942788832847 & 0.100797106457197 \tabularnewline
0.88 & 23.4246198570747 & 0.102614140590893 \tabularnewline
0.89 & 23.458548439845 & 0.108266549605874 \tabularnewline
0.9 & 23.4980991000496 & 0.12059814388213 \tabularnewline
0.91 & 23.5458681527164 & 0.140991706092646 \tabularnewline
0.92 & 23.6044532821243 & 0.168161310280287 \tabularnewline
0.93 & 23.6754751880274 & 0.197470572661995 \tabularnewline
0.94 & 23.7582969103765 & 0.220867165304697 \tabularnewline
0.95 & 23.8488517243912 & 0.228050281895149 \tabularnewline
0.96 & 23.9393212229438 & 0.209957610313433 \tabularnewline
0.97 & 24.0194763152055 & 0.164382011611001 \tabularnewline
0.98 & 24.0798931876958 & 0.101072898399194 \tabularnewline
0.99 & 24.1159084446808 & 0.0413473802063276 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127250&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]18.9528614094113[/C][C]0.0353750184712394[/C][/ROW]
[ROW][C]0.02[/C][C]18.9768949515932[/C][C]0.0524625246179863[/C][/ROW]
[ROW][C]0.03[/C][C]19.0093005764713[/C][C]0.073959342399786[/C][/ROW]
[ROW][C]0.04[/C][C]19.0472192358473[/C][C]0.0905724263764392[/C][/ROW]
[ROW][C]0.05[/C][C]19.0875742679132[/C][C]0.097861281675529[/C][/ROW]
[ROW][C]0.06[/C][C]19.1272763753913[/C][C]0.0962087837356912[/C][/ROW]
[ROW][C]0.07[/C][C]19.1639682453014[/C][C]0.0890458664493803[/C][/ROW]
[ROW][C]0.08[/C][C]19.1965512146454[/C][C]0.0806715536479712[/C][/ROW]
[ROW][C]0.09[/C][C]19.2251935271053[/C][C]0.074761972466279[/C][/ROW]
[ROW][C]0.1[/C][C]19.2509881699[/C][C]0.0738681335768634[/C][/ROW]
[ROW][C]0.11[/C][C]19.2755320612823[/C][C]0.0792299220904647[/C][/ROW]
[ROW][C]0.12[/C][C]19.3005921998704[/C][C]0.0912628570484629[/C][/ROW]
[ROW][C]0.13[/C][C]19.327893205182[/C][C]0.109775506380105[/C][/ROW]
[ROW][C]0.14[/C][C]19.3589878714462[/C][C]0.13409512995186[/C][/ROW]
[ROW][C]0.15[/C][C]19.3951627762093[/C][C]0.163093357114049[/C][/ROW]
[ROW][C]0.16[/C][C]19.4373557770416[/C][C]0.195170642511271[/C][/ROW]
[ROW][C]0.17[/C][C]19.4860904615151[/C][C]0.228369747633077[/C][/ROW]
[ROW][C]0.18[/C][C]19.5414462846153[/C][C]0.260753156222442[/C][/ROW]
[ROW][C]0.19[/C][C]19.6030793016877[/C][C]0.290622074808509[/C][/ROW]
[ROW][C]0.2[/C][C]19.670294083004[/C][C]0.316626770306613[/C][/ROW]
[ROW][C]0.21[/C][C]19.7421523905396[/C][C]0.338113612965598[/C][/ROW]
[ROW][C]0.22[/C][C]19.8175956733488[/C][C]0.354867287560727[/C][/ROW]
[ROW][C]0.23[/C][C]19.8955586255509[/C][C]0.367124101719265[/C][/ROW]
[ROW][C]0.24[/C][C]19.9750578721091[/C][C]0.375366682573123[/C][/ROW]
[ROW][C]0.25[/C][C]20.0552491640997[/C][C]0.380294240490384[/C][/ROW]
[ROW][C]0.26[/C][C]20.1354544631262[/C][C]0.382545639809432[/C][/ROW]
[ROW][C]0.27[/C][C]20.2151649515259[/C][C]0.382784201112185[/C][/ROW]
[ROW][C]0.28[/C][C]20.294027307803[/C][C]0.381661137867371[/C][/ROW]
[ROW][C]0.29[/C][C]20.3718198054405[/C][C]0.379697764976031[/C][/ROW]
[ROW][C]0.3[/C][C]20.4484234343596[/C][C]0.377272006820586[/C][/ROW]
[ROW][C]0.31[/C][C]20.5237922559334[/C][C]0.374681048248092[/C][/ROW]
[ROW][C]0.32[/C][C]20.5979267190916[/C][C]0.371961569074791[/C][/ROW]
[ROW][C]0.33[/C][C]20.6708532470898[/C][C]0.369220598564533[/C][/ROW]
[ROW][C]0.34[/C][C]20.7426125128765[/C][C]0.366344721673195[/C][/ROW]
[ROW][C]0.35[/C][C]20.8132572280378[/C][C]0.363353816696158[/C][/ROW]
[ROW][C]0.36[/C][C]20.8828582159051[/C][C]0.360421370315394[/C][/ROW]
[ROW][C]0.37[/C][C]20.9515156061017[/C][C]0.357720571390892[/C][/ROW]
[ROW][C]0.38[/C][C]21.0193708064069[/C][C]0.355623224165793[/C][/ROW]
[ROW][C]0.39[/C][C]21.0866148610126[/C][C]0.354506534530316[/C][/ROW]
[ROW][C]0.4[/C][C]21.1534898667343[/C][C]0.354768953857032[/C][/ROW]
[ROW][C]0.41[/C][C]21.2202818891421[/C][C]0.356619588498218[/C][/ROW]
[ROW][C]0.42[/C][C]21.2873057087829[/C][C]0.360301576468192[/C][/ROW]
[ROW][C]0.43[/C][C]21.3548832000295[/C][C]0.365678776941763[/C][/ROW]
[ROW][C]0.44[/C][C]21.4233179180279[/C][C]0.372666356565006[/C][/ROW]
[ROW][C]0.45[/C][C]21.4928685762059[/C][C]0.38085215928765[/C][/ROW]
[ROW][C]0.46[/C][C]21.5637238137384[/C][C]0.38978506162732[/C][/ROW]
[ROW][C]0.47[/C][C]21.6359803261149[/C][C]0.3989070042526[/C][/ROW]
[ROW][C]0.48[/C][C]21.7096262936966[/C][C]0.40755918972756[/C][/ROW]
[ROW][C]0.49[/C][C]21.784532089682[/C][C]0.415019092208267[/C][/ROW]
[ROW][C]0.5[/C][C]21.8604502435407[/C][C]0.420608187141055[/C][/ROW]
[ROW][C]0.51[/C][C]21.9370262292132[/C][C]0.423701651106986[/C][/ROW]
[ROW][C]0.52[/C][C]22.0138205660735[/C][C]0.423826984378787[/C][/ROW]
[ROW][C]0.53[/C][C]22.0903409439576[/C][C]0.420729703708619[/C][/ROW]
[ROW][C]0.54[/C][C]22.1660809251753[/C][C]0.41439518555129[/C][/ROW]
[ROW][C]0.55[/C][C]22.2405598280518[/C][C]0.405191060482379[/C][/ROW]
[ROW][C]0.56[/C][C]22.3133573420009[/C][C]0.39353422160213[/C][/ROW]
[ROW][C]0.57[/C][C]22.3841367882098[/C][C]0.380186663867063[/C][/ROW]
[ROW][C]0.58[/C][C]22.4526528669103[/C][C]0.365730391916096[/C][/ROW]
[ROW][C]0.59[/C][C]22.518742883277[/C][C]0.350815135464576[/C][/ROW]
[ROW][C]0.6[/C][C]22.5823040626639[/C][C]0.335742681891512[/C][/ROW]
[ROW][C]0.61[/C][C]22.6432626956738[/C][C]0.320648003302592[/C][/ROW]
[ROW][C]0.62[/C][C]22.7015426358919[/C][C]0.305388209150092[/C][/ROW]
[ROW][C]0.63[/C][C]22.757040620691[/C][C]0.289648100458761[/C][/ROW]
[ROW][C]0.64[/C][C]22.8096140347578[/C][C]0.273105228438094[/C][/ROW]
[ROW][C]0.65[/C][C]22.8590836275536[/C][C]0.25551387928084[/C][/ROW]
[ROW][C]0.66[/C][C]22.9052501952906[/C][C]0.236778152625414[/C][/ROW]
[ROW][C]0.67[/C][C]22.9479212641375[/C][C]0.216970410661102[/C][/ROW]
[ROW][C]0.68[/C][C]22.9869420687597[/C][C]0.196389356976818[/C][/ROW]
[ROW][C]0.69[/C][C]23.0222249190664[/C][C]0.175508259199452[/C][/ROW]
[ROW][C]0.7[/C][C]23.0537722567933[/C][C]0.154878466694822[/C][/ROW]
[ROW][C]0.71[/C][C]23.0816908289477[/C][C]0.135078857998014[/C][/ROW]
[ROW][C]0.72[/C][C]23.1061967538762[/C][C]0.116677777030247[/C][/ROW]
[ROW][C]0.73[/C][C]23.1276131221883[/C][C]0.100153581147477[/C][/ROW]
[ROW][C]0.74[/C][C]23.1463626108272[/C][C]0.085956235418091[/C][/ROW]
[ROW][C]0.75[/C][C]23.1629571367765[/C][C]0.0744615860223564[/C][/ROW]
[ROW][C]0.76[/C][C]23.1779849651454[/C][C]0.0659789099966748[/C][/ROW]
[ROW][C]0.77[/C][C]23.192093476695[/C][C]0.0608505685543656[/C][/ROW]
[ROW][C]0.78[/C][C]23.2059639578464[/C][C]0.0592162076036476[/C][/ROW]
[ROW][C]0.79[/C][C]23.2202745025056[/C][C]0.0610420270056911[/C][/ROW]
[ROW][C]0.8[/C][C]23.2356494885238[/C][C]0.06579840806376[/C][/ROW]
[ROW][C]0.81[/C][C]23.2525995434576[/C][C]0.0726340013333444[/C][/ROW]
[ROW][C]0.82[/C][C]23.2714636806345[/C][C]0.0804189637438927[/C][/ROW]
[ROW][C]0.83[/C][C]23.2923731200633[/C][C]0.0879048646624084[/C][/ROW]
[ROW][C]0.84[/C][C]23.3152607645385[/C][C]0.0940067689911277[/C][/ROW]
[ROW][C]0.85[/C][C]23.3399377431312[/C][C]0.098017084413671[/C][/ROW]
[ROW][C]0.86[/C][C]23.3662465117741[/C][C]0.0999597567406145[/C][/ROW]
[ROW][C]0.87[/C][C]23.3942788832847[/C][C]0.100797106457197[/C][/ROW]
[ROW][C]0.88[/C][C]23.4246198570747[/C][C]0.102614140590893[/C][/ROW]
[ROW][C]0.89[/C][C]23.458548439845[/C][C]0.108266549605874[/C][/ROW]
[ROW][C]0.9[/C][C]23.4980991000496[/C][C]0.12059814388213[/C][/ROW]
[ROW][C]0.91[/C][C]23.5458681527164[/C][C]0.140991706092646[/C][/ROW]
[ROW][C]0.92[/C][C]23.6044532821243[/C][C]0.168161310280287[/C][/ROW]
[ROW][C]0.93[/C][C]23.6754751880274[/C][C]0.197470572661995[/C][/ROW]
[ROW][C]0.94[/C][C]23.7582969103765[/C][C]0.220867165304697[/C][/ROW]
[ROW][C]0.95[/C][C]23.8488517243912[/C][C]0.228050281895149[/C][/ROW]
[ROW][C]0.96[/C][C]23.9393212229438[/C][C]0.209957610313433[/C][/ROW]
[ROW][C]0.97[/C][C]24.0194763152055[/C][C]0.164382011611001[/C][/ROW]
[ROW][C]0.98[/C][C]24.0798931876958[/C][C]0.101072898399194[/C][/ROW]
[ROW][C]0.99[/C][C]24.1159084446808[/C][C]0.0413473802063276[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127250&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127250&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
0.0118.95286140941130.0353750184712394
0.0218.97689495159320.0524625246179863
0.0319.00930057647130.073959342399786
0.0419.04721923584730.0905724263764392
0.0519.08757426791320.097861281675529
0.0619.12727637539130.0962087837356912
0.0719.16396824530140.0890458664493803
0.0819.19655121464540.0806715536479712
0.0919.22519352710530.074761972466279
0.119.25098816990.0738681335768634
0.1119.27553206128230.0792299220904647
0.1219.30059219987040.0912628570484629
0.1319.3278932051820.109775506380105
0.1419.35898787144620.13409512995186
0.1519.39516277620930.163093357114049
0.1619.43735577704160.195170642511271
0.1719.48609046151510.228369747633077
0.1819.54144628461530.260753156222442
0.1919.60307930168770.290622074808509
0.219.6702940830040.316626770306613
0.2119.74215239053960.338113612965598
0.2219.81759567334880.354867287560727
0.2319.89555862555090.367124101719265
0.2419.97505787210910.375366682573123
0.2520.05524916409970.380294240490384
0.2620.13545446312620.382545639809432
0.2720.21516495152590.382784201112185
0.2820.2940273078030.381661137867371
0.2920.37181980544050.379697764976031
0.320.44842343435960.377272006820586
0.3120.52379225593340.374681048248092
0.3220.59792671909160.371961569074791
0.3320.67085324708980.369220598564533
0.3420.74261251287650.366344721673195
0.3520.81325722803780.363353816696158
0.3620.88285821590510.360421370315394
0.3720.95151560610170.357720571390892
0.3821.01937080640690.355623224165793
0.3921.08661486101260.354506534530316
0.421.15348986673430.354768953857032
0.4121.22028188914210.356619588498218
0.4221.28730570878290.360301576468192
0.4321.35488320002950.365678776941763
0.4421.42331791802790.372666356565006
0.4521.49286857620590.38085215928765
0.4621.56372381373840.38978506162732
0.4721.63598032611490.3989070042526
0.4821.70962629369660.40755918972756
0.4921.7845320896820.415019092208267
0.521.86045024354070.420608187141055
0.5121.93702622921320.423701651106986
0.5222.01382056607350.423826984378787
0.5322.09034094395760.420729703708619
0.5422.16608092517530.41439518555129
0.5522.24055982805180.405191060482379
0.5622.31335734200090.39353422160213
0.5722.38413678820980.380186663867063
0.5822.45265286691030.365730391916096
0.5922.5187428832770.350815135464576
0.622.58230406266390.335742681891512
0.6122.64326269567380.320648003302592
0.6222.70154263589190.305388209150092
0.6322.7570406206910.289648100458761
0.6422.80961403475780.273105228438094
0.6522.85908362755360.25551387928084
0.6622.90525019529060.236778152625414
0.6722.94792126413750.216970410661102
0.6822.98694206875970.196389356976818
0.6923.02222491906640.175508259199452
0.723.05377225679330.154878466694822
0.7123.08169082894770.135078857998014
0.7223.10619675387620.116677777030247
0.7323.12761312218830.100153581147477
0.7423.14636261082720.085956235418091
0.7523.16295713677650.0744615860223564
0.7623.17798496514540.0659789099966748
0.7723.1920934766950.0608505685543656
0.7823.20596395784640.0592162076036476
0.7923.22027450250560.0610420270056911
0.823.23564948852380.06579840806376
0.8123.25259954345760.0726340013333444
0.8223.27146368063450.0804189637438927
0.8323.29237312006330.0879048646624084
0.8423.31526076453850.0940067689911277
0.8523.33993774313120.098017084413671
0.8623.36624651177410.0999597567406145
0.8723.39427888328470.100797106457197
0.8823.42461985707470.102614140590893
0.8923.4585484398450.108266549605874
0.923.49809910004960.12059814388213
0.9123.54586815271640.140991706092646
0.9223.60445328212430.168161310280287
0.9323.67547518802740.197470572661995
0.9423.75829691037650.220867165304697
0.9523.84885172439120.228050281895149
0.9623.93932122294380.209957610313433
0.9724.01947631520550.164382011611001
0.9824.07989318769580.101072898399194
0.9924.11590844468080.0413473802063276


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')