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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, 04 Oct 2013 13:58:49 -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/2013/Oct/04/t1380909543fjs7becjt9xjgkt.htm/, Retrieved Mon, 29 Apr 2024 07:46:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213220, Retrieved Mon, 29 Apr 2024 07:46:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

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] [] [2013-10-04 17:58:49] [ba1aac5cc07b687ee7a9bc35c791a1eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.7
3
-0.3
1.1
1.7
1.6
3
3.3
6.7
5.6
6
4.8
5.9
4.3
3.7
5.6
1.7
3.2
3.6
1.7
0.5
2.1
1.5
2.7
1.4
1.2
2.3
1.6
4.7
3.5
4.4
3.9
3.5
3
1.6
2.2
4.1
4.3
3.5
1.8
0.6
-0.4
-2.5
-1.6
-1.9
-1.6
-0.7
-1.1
0.3
1.3
3.3
2.4
2
3.9
4.2
4.9
5.8
4.8
4.4
5.3
2.1
2
-0.9
0.1
-0.5
-0.1
0.7
-0.4
-1.5
-0.3
1
0.4
0.3
1.8
3
2.2
3.4
3.4
3.1
4.5
4.6
5.7
4.3
4.5

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213220&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213220&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213220&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-2.28610937586850.4848957951609
0.02-2.002166069355920.358828850614154
0.03-1.760565604978990.29090366523458
0.04-1.571956437155480.296978555333864
0.05-1.408629527271470.342563079157288
0.06-1.250276332481230.385839470677001
0.07-1.092033649250330.405820997462596
0.08-0.9379263367038220.400457694953496
0.09-0.7936576122427710.378121333317167
0.1-0.6626434568865510.350223422352278
0.11-0.5450458273239680.326717763509199
0.12-0.4385070920235470.313896754345573
0.13-0.3394496514693880.313520996417023
0.14-0.2442662158653550.323338382548289
0.15-0.1501054002722060.338992590600211
0.16-0.05519285005528630.356187636417846
0.170.04123298089992330.372028873654711
0.180.1392159402107410.385364824252982
0.190.2384365457695190.396402587059553
0.20.3384900368670720.40594321214481
0.210.4390215542718520.41459946443447
0.220.5397238043698380.422305148646448
0.230.6402517220011280.428244811897164
0.240.7401239589032950.431152800532353
0.250.8386668871903570.42974815744408
0.260.935027057476770.423138034675195
0.271.028247822364850.411054120955263
0.281.11738550054980.393917073555899
0.291.201633451942220.372741736999619
0.31.280426491104170.348970792680966
0.311.353508138268980.324262126509649
0.321.420954325973780.300298421333276
0.331.483156150381660.278623161431723
0.341.5407699769490.260509936863136
0.351.594646031397070.246865279998337
0.361.645747394988260.23815314308531
0.371.695070752182120.234389403345872
0.381.743578552628160.235197321047607
0.391.792149432328890.239958346791523
0.41.841549867118310.24796715446696
0.411.892425556642090.258580758440483
0.421.945306836789030.271294239464408
0.432.00061958968080.285715400113072
0.442.058692599265670.301508673295537
0.452.119754470557820.318253244091275
0.462.183917678436090.335371296092388
0.472.251152846714050.352042518610135
0.482.321261314282370.367236374758218
0.492.393856789612020.379827276081735
0.52.468366377509370.388737599236886
0.512.544057414404740.393115194587407
0.522.620090376552730.392500945222121
0.532.695591436292020.386905730300709
0.542.769733075321180.376836240275433
0.552.841809117569620.363198254005137
0.562.911292222315160.347160847926243
0.572.977866675916660.329992039829081
0.583.041435625583460.312888412287886
0.593.102107646874640.296865248076979
0.63.160170924135510.282725460058736
0.613.216063419214280.271083097546728
0.623.270344450588910.262408867186373
0.633.3236684066490.257101884896233
0.643.376756772162360.255462194442019
0.653.430362097514660.257634821765986
0.663.48521815592450.263455641884211
0.673.5419744266790.272374920366427
0.683.601119213830920.283367404928536
0.693.662902326504550.294994929736817
0.73.727273154556880.305570890652608
0.713.793851303701980.31337280953962
0.723.861943675206230.316904302177419
0.733.93061415316080.315158301025032
0.743.998801346127490.307799762291686
0.754.065468614455290.295273595909535
0.764.129761898554820.27876837764325
0.774.191147395667440.260060801658143
0.784.249504618592530.241269526215248
0.794.30516084578030.224530379875436
0.84.358868485888050.211676312333333
0.814.411743459662740.203995066307942
0.824.465194523761670.20217990026301
0.834.520873402298450.206468248801512
0.844.580657052393350.217014042644724
0.854.646634728767010.234102012987406
0.864.721024257488050.25795248578984
0.874.805912861606340.287871772698037
0.884.902750607111640.321030953762608
0.895.011650423854060.351740369898459
0.95.130744772359270.372110040818683
0.915.256007454296260.37448242189454
0.925.381913163248260.354894748696996
0.935.50301336779010.315887122992783
0.945.616183347032380.266718502328422
0.955.723495037413820.220745387959876
0.965.83653777493110.19389936398306
0.975.981755513050680.213116135598201
0.986.194980149518050.320230120137535
0.996.474199762725830.51613498223332

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -2.2861093758685 & 0.4848957951609 \tabularnewline
0.02 & -2.00216606935592 & 0.358828850614154 \tabularnewline
0.03 & -1.76056560497899 & 0.29090366523458 \tabularnewline
0.04 & -1.57195643715548 & 0.296978555333864 \tabularnewline
0.05 & -1.40862952727147 & 0.342563079157288 \tabularnewline
0.06 & -1.25027633248123 & 0.385839470677001 \tabularnewline
0.07 & -1.09203364925033 & 0.405820997462596 \tabularnewline
0.08 & -0.937926336703822 & 0.400457694953496 \tabularnewline
0.09 & -0.793657612242771 & 0.378121333317167 \tabularnewline
0.1 & -0.662643456886551 & 0.350223422352278 \tabularnewline
0.11 & -0.545045827323968 & 0.326717763509199 \tabularnewline
0.12 & -0.438507092023547 & 0.313896754345573 \tabularnewline
0.13 & -0.339449651469388 & 0.313520996417023 \tabularnewline
0.14 & -0.244266215865355 & 0.323338382548289 \tabularnewline
0.15 & -0.150105400272206 & 0.338992590600211 \tabularnewline
0.16 & -0.0551928500552863 & 0.356187636417846 \tabularnewline
0.17 & 0.0412329808999233 & 0.372028873654711 \tabularnewline
0.18 & 0.139215940210741 & 0.385364824252982 \tabularnewline
0.19 & 0.238436545769519 & 0.396402587059553 \tabularnewline
0.2 & 0.338490036867072 & 0.40594321214481 \tabularnewline
0.21 & 0.439021554271852 & 0.41459946443447 \tabularnewline
0.22 & 0.539723804369838 & 0.422305148646448 \tabularnewline
0.23 & 0.640251722001128 & 0.428244811897164 \tabularnewline
0.24 & 0.740123958903295 & 0.431152800532353 \tabularnewline
0.25 & 0.838666887190357 & 0.42974815744408 \tabularnewline
0.26 & 0.93502705747677 & 0.423138034675195 \tabularnewline
0.27 & 1.02824782236485 & 0.411054120955263 \tabularnewline
0.28 & 1.1173855005498 & 0.393917073555899 \tabularnewline
0.29 & 1.20163345194222 & 0.372741736999619 \tabularnewline
0.3 & 1.28042649110417 & 0.348970792680966 \tabularnewline
0.31 & 1.35350813826898 & 0.324262126509649 \tabularnewline
0.32 & 1.42095432597378 & 0.300298421333276 \tabularnewline
0.33 & 1.48315615038166 & 0.278623161431723 \tabularnewline
0.34 & 1.540769976949 & 0.260509936863136 \tabularnewline
0.35 & 1.59464603139707 & 0.246865279998337 \tabularnewline
0.36 & 1.64574739498826 & 0.23815314308531 \tabularnewline
0.37 & 1.69507075218212 & 0.234389403345872 \tabularnewline
0.38 & 1.74357855262816 & 0.235197321047607 \tabularnewline
0.39 & 1.79214943232889 & 0.239958346791523 \tabularnewline
0.4 & 1.84154986711831 & 0.24796715446696 \tabularnewline
0.41 & 1.89242555664209 & 0.258580758440483 \tabularnewline
0.42 & 1.94530683678903 & 0.271294239464408 \tabularnewline
0.43 & 2.0006195896808 & 0.285715400113072 \tabularnewline
0.44 & 2.05869259926567 & 0.301508673295537 \tabularnewline
0.45 & 2.11975447055782 & 0.318253244091275 \tabularnewline
0.46 & 2.18391767843609 & 0.335371296092388 \tabularnewline
0.47 & 2.25115284671405 & 0.352042518610135 \tabularnewline
0.48 & 2.32126131428237 & 0.367236374758218 \tabularnewline
0.49 & 2.39385678961202 & 0.379827276081735 \tabularnewline
0.5 & 2.46836637750937 & 0.388737599236886 \tabularnewline
0.51 & 2.54405741440474 & 0.393115194587407 \tabularnewline
0.52 & 2.62009037655273 & 0.392500945222121 \tabularnewline
0.53 & 2.69559143629202 & 0.386905730300709 \tabularnewline
0.54 & 2.76973307532118 & 0.376836240275433 \tabularnewline
0.55 & 2.84180911756962 & 0.363198254005137 \tabularnewline
0.56 & 2.91129222231516 & 0.347160847926243 \tabularnewline
0.57 & 2.97786667591666 & 0.329992039829081 \tabularnewline
0.58 & 3.04143562558346 & 0.312888412287886 \tabularnewline
0.59 & 3.10210764687464 & 0.296865248076979 \tabularnewline
0.6 & 3.16017092413551 & 0.282725460058736 \tabularnewline
0.61 & 3.21606341921428 & 0.271083097546728 \tabularnewline
0.62 & 3.27034445058891 & 0.262408867186373 \tabularnewline
0.63 & 3.323668406649 & 0.257101884896233 \tabularnewline
0.64 & 3.37675677216236 & 0.255462194442019 \tabularnewline
0.65 & 3.43036209751466 & 0.257634821765986 \tabularnewline
0.66 & 3.4852181559245 & 0.263455641884211 \tabularnewline
0.67 & 3.541974426679 & 0.272374920366427 \tabularnewline
0.68 & 3.60111921383092 & 0.283367404928536 \tabularnewline
0.69 & 3.66290232650455 & 0.294994929736817 \tabularnewline
0.7 & 3.72727315455688 & 0.305570890652608 \tabularnewline
0.71 & 3.79385130370198 & 0.31337280953962 \tabularnewline
0.72 & 3.86194367520623 & 0.316904302177419 \tabularnewline
0.73 & 3.9306141531608 & 0.315158301025032 \tabularnewline
0.74 & 3.99880134612749 & 0.307799762291686 \tabularnewline
0.75 & 4.06546861445529 & 0.295273595909535 \tabularnewline
0.76 & 4.12976189855482 & 0.27876837764325 \tabularnewline
0.77 & 4.19114739566744 & 0.260060801658143 \tabularnewline
0.78 & 4.24950461859253 & 0.241269526215248 \tabularnewline
0.79 & 4.3051608457803 & 0.224530379875436 \tabularnewline
0.8 & 4.35886848588805 & 0.211676312333333 \tabularnewline
0.81 & 4.41174345966274 & 0.203995066307942 \tabularnewline
0.82 & 4.46519452376167 & 0.20217990026301 \tabularnewline
0.83 & 4.52087340229845 & 0.206468248801512 \tabularnewline
0.84 & 4.58065705239335 & 0.217014042644724 \tabularnewline
0.85 & 4.64663472876701 & 0.234102012987406 \tabularnewline
0.86 & 4.72102425748805 & 0.25795248578984 \tabularnewline
0.87 & 4.80591286160634 & 0.287871772698037 \tabularnewline
0.88 & 4.90275060711164 & 0.321030953762608 \tabularnewline
0.89 & 5.01165042385406 & 0.351740369898459 \tabularnewline
0.9 & 5.13074477235927 & 0.372110040818683 \tabularnewline
0.91 & 5.25600745429626 & 0.37448242189454 \tabularnewline
0.92 & 5.38191316324826 & 0.354894748696996 \tabularnewline
0.93 & 5.5030133677901 & 0.315887122992783 \tabularnewline
0.94 & 5.61618334703238 & 0.266718502328422 \tabularnewline
0.95 & 5.72349503741382 & 0.220745387959876 \tabularnewline
0.96 & 5.8365377749311 & 0.19389936398306 \tabularnewline
0.97 & 5.98175551305068 & 0.213116135598201 \tabularnewline
0.98 & 6.19498014951805 & 0.320230120137535 \tabularnewline
0.99 & 6.47419976272583 & 0.51613498223332 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213220&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]-2.2861093758685[/C][C]0.4848957951609[/C][/ROW]
[ROW][C]0.02[/C][C]-2.00216606935592[/C][C]0.358828850614154[/C][/ROW]
[ROW][C]0.03[/C][C]-1.76056560497899[/C][C]0.29090366523458[/C][/ROW]
[ROW][C]0.04[/C][C]-1.57195643715548[/C][C]0.296978555333864[/C][/ROW]
[ROW][C]0.05[/C][C]-1.40862952727147[/C][C]0.342563079157288[/C][/ROW]
[ROW][C]0.06[/C][C]-1.25027633248123[/C][C]0.385839470677001[/C][/ROW]
[ROW][C]0.07[/C][C]-1.09203364925033[/C][C]0.405820997462596[/C][/ROW]
[ROW][C]0.08[/C][C]-0.937926336703822[/C][C]0.400457694953496[/C][/ROW]
[ROW][C]0.09[/C][C]-0.793657612242771[/C][C]0.378121333317167[/C][/ROW]
[ROW][C]0.1[/C][C]-0.662643456886551[/C][C]0.350223422352278[/C][/ROW]
[ROW][C]0.11[/C][C]-0.545045827323968[/C][C]0.326717763509199[/C][/ROW]
[ROW][C]0.12[/C][C]-0.438507092023547[/C][C]0.313896754345573[/C][/ROW]
[ROW][C]0.13[/C][C]-0.339449651469388[/C][C]0.313520996417023[/C][/ROW]
[ROW][C]0.14[/C][C]-0.244266215865355[/C][C]0.323338382548289[/C][/ROW]
[ROW][C]0.15[/C][C]-0.150105400272206[/C][C]0.338992590600211[/C][/ROW]
[ROW][C]0.16[/C][C]-0.0551928500552863[/C][C]0.356187636417846[/C][/ROW]
[ROW][C]0.17[/C][C]0.0412329808999233[/C][C]0.372028873654711[/C][/ROW]
[ROW][C]0.18[/C][C]0.139215940210741[/C][C]0.385364824252982[/C][/ROW]
[ROW][C]0.19[/C][C]0.238436545769519[/C][C]0.396402587059553[/C][/ROW]
[ROW][C]0.2[/C][C]0.338490036867072[/C][C]0.40594321214481[/C][/ROW]
[ROW][C]0.21[/C][C]0.439021554271852[/C][C]0.41459946443447[/C][/ROW]
[ROW][C]0.22[/C][C]0.539723804369838[/C][C]0.422305148646448[/C][/ROW]
[ROW][C]0.23[/C][C]0.640251722001128[/C][C]0.428244811897164[/C][/ROW]
[ROW][C]0.24[/C][C]0.740123958903295[/C][C]0.431152800532353[/C][/ROW]
[ROW][C]0.25[/C][C]0.838666887190357[/C][C]0.42974815744408[/C][/ROW]
[ROW][C]0.26[/C][C]0.93502705747677[/C][C]0.423138034675195[/C][/ROW]
[ROW][C]0.27[/C][C]1.02824782236485[/C][C]0.411054120955263[/C][/ROW]
[ROW][C]0.28[/C][C]1.1173855005498[/C][C]0.393917073555899[/C][/ROW]
[ROW][C]0.29[/C][C]1.20163345194222[/C][C]0.372741736999619[/C][/ROW]
[ROW][C]0.3[/C][C]1.28042649110417[/C][C]0.348970792680966[/C][/ROW]
[ROW][C]0.31[/C][C]1.35350813826898[/C][C]0.324262126509649[/C][/ROW]
[ROW][C]0.32[/C][C]1.42095432597378[/C][C]0.300298421333276[/C][/ROW]
[ROW][C]0.33[/C][C]1.48315615038166[/C][C]0.278623161431723[/C][/ROW]
[ROW][C]0.34[/C][C]1.540769976949[/C][C]0.260509936863136[/C][/ROW]
[ROW][C]0.35[/C][C]1.59464603139707[/C][C]0.246865279998337[/C][/ROW]
[ROW][C]0.36[/C][C]1.64574739498826[/C][C]0.23815314308531[/C][/ROW]
[ROW][C]0.37[/C][C]1.69507075218212[/C][C]0.234389403345872[/C][/ROW]
[ROW][C]0.38[/C][C]1.74357855262816[/C][C]0.235197321047607[/C][/ROW]
[ROW][C]0.39[/C][C]1.79214943232889[/C][C]0.239958346791523[/C][/ROW]
[ROW][C]0.4[/C][C]1.84154986711831[/C][C]0.24796715446696[/C][/ROW]
[ROW][C]0.41[/C][C]1.89242555664209[/C][C]0.258580758440483[/C][/ROW]
[ROW][C]0.42[/C][C]1.94530683678903[/C][C]0.271294239464408[/C][/ROW]
[ROW][C]0.43[/C][C]2.0006195896808[/C][C]0.285715400113072[/C][/ROW]
[ROW][C]0.44[/C][C]2.05869259926567[/C][C]0.301508673295537[/C][/ROW]
[ROW][C]0.45[/C][C]2.11975447055782[/C][C]0.318253244091275[/C][/ROW]
[ROW][C]0.46[/C][C]2.18391767843609[/C][C]0.335371296092388[/C][/ROW]
[ROW][C]0.47[/C][C]2.25115284671405[/C][C]0.352042518610135[/C][/ROW]
[ROW][C]0.48[/C][C]2.32126131428237[/C][C]0.367236374758218[/C][/ROW]
[ROW][C]0.49[/C][C]2.39385678961202[/C][C]0.379827276081735[/C][/ROW]
[ROW][C]0.5[/C][C]2.46836637750937[/C][C]0.388737599236886[/C][/ROW]
[ROW][C]0.51[/C][C]2.54405741440474[/C][C]0.393115194587407[/C][/ROW]
[ROW][C]0.52[/C][C]2.62009037655273[/C][C]0.392500945222121[/C][/ROW]
[ROW][C]0.53[/C][C]2.69559143629202[/C][C]0.386905730300709[/C][/ROW]
[ROW][C]0.54[/C][C]2.76973307532118[/C][C]0.376836240275433[/C][/ROW]
[ROW][C]0.55[/C][C]2.84180911756962[/C][C]0.363198254005137[/C][/ROW]
[ROW][C]0.56[/C][C]2.91129222231516[/C][C]0.347160847926243[/C][/ROW]
[ROW][C]0.57[/C][C]2.97786667591666[/C][C]0.329992039829081[/C][/ROW]
[ROW][C]0.58[/C][C]3.04143562558346[/C][C]0.312888412287886[/C][/ROW]
[ROW][C]0.59[/C][C]3.10210764687464[/C][C]0.296865248076979[/C][/ROW]
[ROW][C]0.6[/C][C]3.16017092413551[/C][C]0.282725460058736[/C][/ROW]
[ROW][C]0.61[/C][C]3.21606341921428[/C][C]0.271083097546728[/C][/ROW]
[ROW][C]0.62[/C][C]3.27034445058891[/C][C]0.262408867186373[/C][/ROW]
[ROW][C]0.63[/C][C]3.323668406649[/C][C]0.257101884896233[/C][/ROW]
[ROW][C]0.64[/C][C]3.37675677216236[/C][C]0.255462194442019[/C][/ROW]
[ROW][C]0.65[/C][C]3.43036209751466[/C][C]0.257634821765986[/C][/ROW]
[ROW][C]0.66[/C][C]3.4852181559245[/C][C]0.263455641884211[/C][/ROW]
[ROW][C]0.67[/C][C]3.541974426679[/C][C]0.272374920366427[/C][/ROW]
[ROW][C]0.68[/C][C]3.60111921383092[/C][C]0.283367404928536[/C][/ROW]
[ROW][C]0.69[/C][C]3.66290232650455[/C][C]0.294994929736817[/C][/ROW]
[ROW][C]0.7[/C][C]3.72727315455688[/C][C]0.305570890652608[/C][/ROW]
[ROW][C]0.71[/C][C]3.79385130370198[/C][C]0.31337280953962[/C][/ROW]
[ROW][C]0.72[/C][C]3.86194367520623[/C][C]0.316904302177419[/C][/ROW]
[ROW][C]0.73[/C][C]3.9306141531608[/C][C]0.315158301025032[/C][/ROW]
[ROW][C]0.74[/C][C]3.99880134612749[/C][C]0.307799762291686[/C][/ROW]
[ROW][C]0.75[/C][C]4.06546861445529[/C][C]0.295273595909535[/C][/ROW]
[ROW][C]0.76[/C][C]4.12976189855482[/C][C]0.27876837764325[/C][/ROW]
[ROW][C]0.77[/C][C]4.19114739566744[/C][C]0.260060801658143[/C][/ROW]
[ROW][C]0.78[/C][C]4.24950461859253[/C][C]0.241269526215248[/C][/ROW]
[ROW][C]0.79[/C][C]4.3051608457803[/C][C]0.224530379875436[/C][/ROW]
[ROW][C]0.8[/C][C]4.35886848588805[/C][C]0.211676312333333[/C][/ROW]
[ROW][C]0.81[/C][C]4.41174345966274[/C][C]0.203995066307942[/C][/ROW]
[ROW][C]0.82[/C][C]4.46519452376167[/C][C]0.20217990026301[/C][/ROW]
[ROW][C]0.83[/C][C]4.52087340229845[/C][C]0.206468248801512[/C][/ROW]
[ROW][C]0.84[/C][C]4.58065705239335[/C][C]0.217014042644724[/C][/ROW]
[ROW][C]0.85[/C][C]4.64663472876701[/C][C]0.234102012987406[/C][/ROW]
[ROW][C]0.86[/C][C]4.72102425748805[/C][C]0.25795248578984[/C][/ROW]
[ROW][C]0.87[/C][C]4.80591286160634[/C][C]0.287871772698037[/C][/ROW]
[ROW][C]0.88[/C][C]4.90275060711164[/C][C]0.321030953762608[/C][/ROW]
[ROW][C]0.89[/C][C]5.01165042385406[/C][C]0.351740369898459[/C][/ROW]
[ROW][C]0.9[/C][C]5.13074477235927[/C][C]0.372110040818683[/C][/ROW]
[ROW][C]0.91[/C][C]5.25600745429626[/C][C]0.37448242189454[/C][/ROW]
[ROW][C]0.92[/C][C]5.38191316324826[/C][C]0.354894748696996[/C][/ROW]
[ROW][C]0.93[/C][C]5.5030133677901[/C][C]0.315887122992783[/C][/ROW]
[ROW][C]0.94[/C][C]5.61618334703238[/C][C]0.266718502328422[/C][/ROW]
[ROW][C]0.95[/C][C]5.72349503741382[/C][C]0.220745387959876[/C][/ROW]
[ROW][C]0.96[/C][C]5.8365377749311[/C][C]0.19389936398306[/C][/ROW]
[ROW][C]0.97[/C][C]5.98175551305068[/C][C]0.213116135598201[/C][/ROW]
[ROW][C]0.98[/C][C]6.19498014951805[/C][C]0.320230120137535[/C][/ROW]
[ROW][C]0.99[/C][C]6.47419976272583[/C][C]0.51613498223332[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213220&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213220&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
0.01-2.28610937586850.4848957951609
0.02-2.002166069355920.358828850614154
0.03-1.760565604978990.29090366523458
0.04-1.571956437155480.296978555333864
0.05-1.408629527271470.342563079157288
0.06-1.250276332481230.385839470677001
0.07-1.092033649250330.405820997462596
0.08-0.9379263367038220.400457694953496
0.09-0.7936576122427710.378121333317167
0.1-0.6626434568865510.350223422352278
0.11-0.5450458273239680.326717763509199
0.12-0.4385070920235470.313896754345573
0.13-0.3394496514693880.313520996417023
0.14-0.2442662158653550.323338382548289
0.15-0.1501054002722060.338992590600211
0.16-0.05519285005528630.356187636417846
0.170.04123298089992330.372028873654711
0.180.1392159402107410.385364824252982
0.190.2384365457695190.396402587059553
0.20.3384900368670720.40594321214481
0.210.4390215542718520.41459946443447
0.220.5397238043698380.422305148646448
0.230.6402517220011280.428244811897164
0.240.7401239589032950.431152800532353
0.250.8386668871903570.42974815744408
0.260.935027057476770.423138034675195
0.271.028247822364850.411054120955263
0.281.11738550054980.393917073555899
0.291.201633451942220.372741736999619
0.31.280426491104170.348970792680966
0.311.353508138268980.324262126509649
0.321.420954325973780.300298421333276
0.331.483156150381660.278623161431723
0.341.5407699769490.260509936863136
0.351.594646031397070.246865279998337
0.361.645747394988260.23815314308531
0.371.695070752182120.234389403345872
0.381.743578552628160.235197321047607
0.391.792149432328890.239958346791523
0.41.841549867118310.24796715446696
0.411.892425556642090.258580758440483
0.421.945306836789030.271294239464408
0.432.00061958968080.285715400113072
0.442.058692599265670.301508673295537
0.452.119754470557820.318253244091275
0.462.183917678436090.335371296092388
0.472.251152846714050.352042518610135
0.482.321261314282370.367236374758218
0.492.393856789612020.379827276081735
0.52.468366377509370.388737599236886
0.512.544057414404740.393115194587407
0.522.620090376552730.392500945222121
0.532.695591436292020.386905730300709
0.542.769733075321180.376836240275433
0.552.841809117569620.363198254005137
0.562.911292222315160.347160847926243
0.572.977866675916660.329992039829081
0.583.041435625583460.312888412287886
0.593.102107646874640.296865248076979
0.63.160170924135510.282725460058736
0.613.216063419214280.271083097546728
0.623.270344450588910.262408867186373
0.633.3236684066490.257101884896233
0.643.376756772162360.255462194442019
0.653.430362097514660.257634821765986
0.663.48521815592450.263455641884211
0.673.5419744266790.272374920366427
0.683.601119213830920.283367404928536
0.693.662902326504550.294994929736817
0.73.727273154556880.305570890652608
0.713.793851303701980.31337280953962
0.723.861943675206230.316904302177419
0.733.93061415316080.315158301025032
0.743.998801346127490.307799762291686
0.754.065468614455290.295273595909535
0.764.129761898554820.27876837764325
0.774.191147395667440.260060801658143
0.784.249504618592530.241269526215248
0.794.30516084578030.224530379875436
0.84.358868485888050.211676312333333
0.814.411743459662740.203995066307942
0.824.465194523761670.20217990026301
0.834.520873402298450.206468248801512
0.844.580657052393350.217014042644724
0.854.646634728767010.234102012987406
0.864.721024257488050.25795248578984
0.874.805912861606340.287871772698037
0.884.902750607111640.321030953762608
0.895.011650423854060.351740369898459
0.95.130744772359270.372110040818683
0.915.256007454296260.37448242189454
0.925.381913163248260.354894748696996
0.935.50301336779010.315887122992783
0.945.616183347032380.266718502328422
0.955.723495037413820.220745387959876
0.965.83653777493110.19389936398306
0.975.981755513050680.213116135598201
0.986.194980149518050.320230120137535
0.996.474199762725830.51613498223332


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')