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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, 26 Feb 2016 16:29:36 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/26/t145650452740jbhctziqvmxp3.htm/, Retrieved Thu, 02 May 2024 17:34:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292769, Retrieved Thu, 02 May 2024 17:34:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

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] [] [2016-02-26 16:29:36] [d0e43a2339caadb8d5bf1f89f27a021a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
86.88
90.65
90.68
89.64
102.62
101.84
92.51
94.29
94.68
96.94
94.03
89.65
84.9
89.07
89.8
93.22
92.23
98.41
96.63
89.8
90
92.13
93.27
90.81
85.42
88.28
88.73
90.18
92.74
96.13
94.85
94.25
96.94
101.22
98.71
95.51
93.91
98.17
97.59
99.64
107.88
108.49
100.25
99.27
101.73
101.25
97.09
94.74
94.53
93.48
96.05
106.22
98.33
99.86
93.78
88.96
83.77
89.46
86.78
88.4
87.19
92.23
95.99
104.75
105.63
108.71
96.4
93.31
93.77
98.7
95.04
95.61

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292769&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292769&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0184.1296583564851.01470160299854
0.0284.67777937271610.967226387295647
0.0385.25870504791490.998440787355533
0.0485.80148476949511.02638536983387
0.0586.29072615821271.01581016629189
0.0686.72865538991290.984579209846355
0.0787.12101753409470.952827848970721
0.0887.47387450047860.921702987577426
0.0987.79221263552070.883302438243258
0.188.07932179080270.833226226895435
0.1188.33728529652190.77465260379695
0.1288.56798985901950.71440736838045
0.1388.77385948353710.658735459955814
0.1488.95802619524610.61145607548527
0.1589.12412100991580.574234355806312
0.1689.27598885707980.547873647674651
0.1789.41750712404160.533693353422914
0.1889.55252191427310.533471229834107
0.1989.6848249794430.548464660358184
0.289.81809012159530.579795811240612
0.2189.95573187675210.626114645744068
0.2290.10069935791060.684712954654452
0.2390.2552501417030.751551083984632
0.2490.4207575963640.821661563731631
0.2590.59759555077970.88977166744701
0.2690.78512532613810.950759086768765
0.2790.98178916696541.00064747238596
0.2891.18529561835951.03606148262637
0.2991.3928688209361.05546704662859
0.391.60152617669571.05847613775647
0.3191.80834775689331.04614411912997
0.3292.01070580011871.02077523951538
0.3392.20643237380990.985237540668963
0.3492.3939155335830.942442138060063
0.3592.57212643070580.895856924396984
0.3692.74058934666590.848000612153284
0.3792.89931204863520.801135610517255
0.3893.04869489231480.757048991633149
0.3993.18943462202990.716949918256251
0.493.32243436461350.68161912536507
0.4193.44872646839130.651861388956457
0.4293.56941075467940.627613653174813
0.4393.68560793760970.609069056572033
0.4493.79842636814160.596227724107601
0.4593.90893948773590.588639945837513
0.4694.01817102001980.586144833148573
0.4794.12708474063220.588510071617078
0.4894.23657564287860.595256876677252
0.4994.34745963464240.60599716035622
0.594.4604597688590.620375230548895
0.5194.57618850973630.637500326237881
0.5294.69512751891610.65677891685865
0.5394.81760850506670.677280675205908
0.5494.94380024265410.697854773913073
0.5595.07370735304340.717457381076879
0.5695.20718546853080.735245278265438
0.5795.34397493355880.750455024106376
0.5895.48375161644460.762898578869732
0.5995.62618943828910.772667224591754
0.695.7710257804680.780297409295604
0.6195.9181188714340.786873982412981
0.6296.06748619628310.793383338264876
0.6396.21931516903170.800990484788828
0.6496.37394160533070.810634094031797
0.6596.53179740303160.822766310951651
0.6696.69333541655410.837327693979923
0.6796.8589456433030.853642014746607
0.6897.02888115277370.870487055515246
0.6997.20321326544180.88645591398043
0.797.38183220656780.900092567009653
0.7197.56450145748680.910609997270132
0.7297.75096214856140.91767636322277
0.7397.94107032521820.922091741698922
0.7498.13493813687270.925505603165402
0.7598.3330436725150.930151999277734
0.7698.53627634277210.93858034646067
0.7798.74589684139730.952769550163577
0.7898.96341221591220.97361949095214
0.7999.19039479450561.00053761386329
0.899.42830398963571.03201030059089
0.8199.67839513706381.065215899448
0.8299.94180876667121.09788851423265
0.83100.2199124071131.12915718693295
0.84100.5148999488861.16113489513385
0.85100.8305346556511.19973924936132
0.86101.1727706716841.254528685328
0.87101.549865375571.33625344570075
0.88101.9716017614671.45048789980232
0.89102.4474739217431.59188094239712
0.9102.9841528285131.74113929617927
0.91103.5830489971581.86921874598568
0.92104.2389227819471.9468156123171
0.93104.9398861306621.95552157139966
0.94105.6679261605321.89165135151777
0.95106.398302727191.75701896094261
0.96107.0973248957031.54224737098421
0.97107.7212182060671.22828270299067
0.98108.2209753750120.825679385272214
0.99108.5553609695990.429188824408827

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.129658356485 & 1.01470160299854 \tabularnewline
0.02 & 84.6777793727161 & 0.967226387295647 \tabularnewline
0.03 & 85.2587050479149 & 0.998440787355533 \tabularnewline
0.04 & 85.8014847694951 & 1.02638536983387 \tabularnewline
0.05 & 86.2907261582127 & 1.01581016629189 \tabularnewline
0.06 & 86.7286553899129 & 0.984579209846355 \tabularnewline
0.07 & 87.1210175340947 & 0.952827848970721 \tabularnewline
0.08 & 87.4738745004786 & 0.921702987577426 \tabularnewline
0.09 & 87.7922126355207 & 0.883302438243258 \tabularnewline
0.1 & 88.0793217908027 & 0.833226226895435 \tabularnewline
0.11 & 88.3372852965219 & 0.77465260379695 \tabularnewline
0.12 & 88.5679898590195 & 0.71440736838045 \tabularnewline
0.13 & 88.7738594835371 & 0.658735459955814 \tabularnewline
0.14 & 88.9580261952461 & 0.61145607548527 \tabularnewline
0.15 & 89.1241210099158 & 0.574234355806312 \tabularnewline
0.16 & 89.2759888570798 & 0.547873647674651 \tabularnewline
0.17 & 89.4175071240416 & 0.533693353422914 \tabularnewline
0.18 & 89.5525219142731 & 0.533471229834107 \tabularnewline
0.19 & 89.684824979443 & 0.548464660358184 \tabularnewline
0.2 & 89.8180901215953 & 0.579795811240612 \tabularnewline
0.21 & 89.9557318767521 & 0.626114645744068 \tabularnewline
0.22 & 90.1006993579106 & 0.684712954654452 \tabularnewline
0.23 & 90.255250141703 & 0.751551083984632 \tabularnewline
0.24 & 90.420757596364 & 0.821661563731631 \tabularnewline
0.25 & 90.5975955507797 & 0.88977166744701 \tabularnewline
0.26 & 90.7851253261381 & 0.950759086768765 \tabularnewline
0.27 & 90.9817891669654 & 1.00064747238596 \tabularnewline
0.28 & 91.1852956183595 & 1.03606148262637 \tabularnewline
0.29 & 91.392868820936 & 1.05546704662859 \tabularnewline
0.3 & 91.6015261766957 & 1.05847613775647 \tabularnewline
0.31 & 91.8083477568933 & 1.04614411912997 \tabularnewline
0.32 & 92.0107058001187 & 1.02077523951538 \tabularnewline
0.33 & 92.2064323738099 & 0.985237540668963 \tabularnewline
0.34 & 92.393915533583 & 0.942442138060063 \tabularnewline
0.35 & 92.5721264307058 & 0.895856924396984 \tabularnewline
0.36 & 92.7405893466659 & 0.848000612153284 \tabularnewline
0.37 & 92.8993120486352 & 0.801135610517255 \tabularnewline
0.38 & 93.0486948923148 & 0.757048991633149 \tabularnewline
0.39 & 93.1894346220299 & 0.716949918256251 \tabularnewline
0.4 & 93.3224343646135 & 0.68161912536507 \tabularnewline
0.41 & 93.4487264683913 & 0.651861388956457 \tabularnewline
0.42 & 93.5694107546794 & 0.627613653174813 \tabularnewline
0.43 & 93.6856079376097 & 0.609069056572033 \tabularnewline
0.44 & 93.7984263681416 & 0.596227724107601 \tabularnewline
0.45 & 93.9089394877359 & 0.588639945837513 \tabularnewline
0.46 & 94.0181710200198 & 0.586144833148573 \tabularnewline
0.47 & 94.1270847406322 & 0.588510071617078 \tabularnewline
0.48 & 94.2365756428786 & 0.595256876677252 \tabularnewline
0.49 & 94.3474596346424 & 0.60599716035622 \tabularnewline
0.5 & 94.460459768859 & 0.620375230548895 \tabularnewline
0.51 & 94.5761885097363 & 0.637500326237881 \tabularnewline
0.52 & 94.6951275189161 & 0.65677891685865 \tabularnewline
0.53 & 94.8176085050667 & 0.677280675205908 \tabularnewline
0.54 & 94.9438002426541 & 0.697854773913073 \tabularnewline
0.55 & 95.0737073530434 & 0.717457381076879 \tabularnewline
0.56 & 95.2071854685308 & 0.735245278265438 \tabularnewline
0.57 & 95.3439749335588 & 0.750455024106376 \tabularnewline
0.58 & 95.4837516164446 & 0.762898578869732 \tabularnewline
0.59 & 95.6261894382891 & 0.772667224591754 \tabularnewline
0.6 & 95.771025780468 & 0.780297409295604 \tabularnewline
0.61 & 95.918118871434 & 0.786873982412981 \tabularnewline
0.62 & 96.0674861962831 & 0.793383338264876 \tabularnewline
0.63 & 96.2193151690317 & 0.800990484788828 \tabularnewline
0.64 & 96.3739416053307 & 0.810634094031797 \tabularnewline
0.65 & 96.5317974030316 & 0.822766310951651 \tabularnewline
0.66 & 96.6933354165541 & 0.837327693979923 \tabularnewline
0.67 & 96.858945643303 & 0.853642014746607 \tabularnewline
0.68 & 97.0288811527737 & 0.870487055515246 \tabularnewline
0.69 & 97.2032132654418 & 0.88645591398043 \tabularnewline
0.7 & 97.3818322065678 & 0.900092567009653 \tabularnewline
0.71 & 97.5645014574868 & 0.910609997270132 \tabularnewline
0.72 & 97.7509621485614 & 0.91767636322277 \tabularnewline
0.73 & 97.9410703252182 & 0.922091741698922 \tabularnewline
0.74 & 98.1349381368727 & 0.925505603165402 \tabularnewline
0.75 & 98.333043672515 & 0.930151999277734 \tabularnewline
0.76 & 98.5362763427721 & 0.93858034646067 \tabularnewline
0.77 & 98.7458968413973 & 0.952769550163577 \tabularnewline
0.78 & 98.9634122159122 & 0.97361949095214 \tabularnewline
0.79 & 99.1903947945056 & 1.00053761386329 \tabularnewline
0.8 & 99.4283039896357 & 1.03201030059089 \tabularnewline
0.81 & 99.6783951370638 & 1.065215899448 \tabularnewline
0.82 & 99.9418087666712 & 1.09788851423265 \tabularnewline
0.83 & 100.219912407113 & 1.12915718693295 \tabularnewline
0.84 & 100.514899948886 & 1.16113489513385 \tabularnewline
0.85 & 100.830534655651 & 1.19973924936132 \tabularnewline
0.86 & 101.172770671684 & 1.254528685328 \tabularnewline
0.87 & 101.54986537557 & 1.33625344570075 \tabularnewline
0.88 & 101.971601761467 & 1.45048789980232 \tabularnewline
0.89 & 102.447473921743 & 1.59188094239712 \tabularnewline
0.9 & 102.984152828513 & 1.74113929617927 \tabularnewline
0.91 & 103.583048997158 & 1.86921874598568 \tabularnewline
0.92 & 104.238922781947 & 1.9468156123171 \tabularnewline
0.93 & 104.939886130662 & 1.95552157139966 \tabularnewline
0.94 & 105.667926160532 & 1.89165135151777 \tabularnewline
0.95 & 106.39830272719 & 1.75701896094261 \tabularnewline
0.96 & 107.097324895703 & 1.54224737098421 \tabularnewline
0.97 & 107.721218206067 & 1.22828270299067 \tabularnewline
0.98 & 108.220975375012 & 0.825679385272214 \tabularnewline
0.99 & 108.555360969599 & 0.429188824408827 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292769&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]84.129658356485[/C][C]1.01470160299854[/C][/ROW]
[ROW][C]0.02[/C][C]84.6777793727161[/C][C]0.967226387295647[/C][/ROW]
[ROW][C]0.03[/C][C]85.2587050479149[/C][C]0.998440787355533[/C][/ROW]
[ROW][C]0.04[/C][C]85.8014847694951[/C][C]1.02638536983387[/C][/ROW]
[ROW][C]0.05[/C][C]86.2907261582127[/C][C]1.01581016629189[/C][/ROW]
[ROW][C]0.06[/C][C]86.7286553899129[/C][C]0.984579209846355[/C][/ROW]
[ROW][C]0.07[/C][C]87.1210175340947[/C][C]0.952827848970721[/C][/ROW]
[ROW][C]0.08[/C][C]87.4738745004786[/C][C]0.921702987577426[/C][/ROW]
[ROW][C]0.09[/C][C]87.7922126355207[/C][C]0.883302438243258[/C][/ROW]
[ROW][C]0.1[/C][C]88.0793217908027[/C][C]0.833226226895435[/C][/ROW]
[ROW][C]0.11[/C][C]88.3372852965219[/C][C]0.77465260379695[/C][/ROW]
[ROW][C]0.12[/C][C]88.5679898590195[/C][C]0.71440736838045[/C][/ROW]
[ROW][C]0.13[/C][C]88.7738594835371[/C][C]0.658735459955814[/C][/ROW]
[ROW][C]0.14[/C][C]88.9580261952461[/C][C]0.61145607548527[/C][/ROW]
[ROW][C]0.15[/C][C]89.1241210099158[/C][C]0.574234355806312[/C][/ROW]
[ROW][C]0.16[/C][C]89.2759888570798[/C][C]0.547873647674651[/C][/ROW]
[ROW][C]0.17[/C][C]89.4175071240416[/C][C]0.533693353422914[/C][/ROW]
[ROW][C]0.18[/C][C]89.5525219142731[/C][C]0.533471229834107[/C][/ROW]
[ROW][C]0.19[/C][C]89.684824979443[/C][C]0.548464660358184[/C][/ROW]
[ROW][C]0.2[/C][C]89.8180901215953[/C][C]0.579795811240612[/C][/ROW]
[ROW][C]0.21[/C][C]89.9557318767521[/C][C]0.626114645744068[/C][/ROW]
[ROW][C]0.22[/C][C]90.1006993579106[/C][C]0.684712954654452[/C][/ROW]
[ROW][C]0.23[/C][C]90.255250141703[/C][C]0.751551083984632[/C][/ROW]
[ROW][C]0.24[/C][C]90.420757596364[/C][C]0.821661563731631[/C][/ROW]
[ROW][C]0.25[/C][C]90.5975955507797[/C][C]0.88977166744701[/C][/ROW]
[ROW][C]0.26[/C][C]90.7851253261381[/C][C]0.950759086768765[/C][/ROW]
[ROW][C]0.27[/C][C]90.9817891669654[/C][C]1.00064747238596[/C][/ROW]
[ROW][C]0.28[/C][C]91.1852956183595[/C][C]1.03606148262637[/C][/ROW]
[ROW][C]0.29[/C][C]91.392868820936[/C][C]1.05546704662859[/C][/ROW]
[ROW][C]0.3[/C][C]91.6015261766957[/C][C]1.05847613775647[/C][/ROW]
[ROW][C]0.31[/C][C]91.8083477568933[/C][C]1.04614411912997[/C][/ROW]
[ROW][C]0.32[/C][C]92.0107058001187[/C][C]1.02077523951538[/C][/ROW]
[ROW][C]0.33[/C][C]92.2064323738099[/C][C]0.985237540668963[/C][/ROW]
[ROW][C]0.34[/C][C]92.393915533583[/C][C]0.942442138060063[/C][/ROW]
[ROW][C]0.35[/C][C]92.5721264307058[/C][C]0.895856924396984[/C][/ROW]
[ROW][C]0.36[/C][C]92.7405893466659[/C][C]0.848000612153284[/C][/ROW]
[ROW][C]0.37[/C][C]92.8993120486352[/C][C]0.801135610517255[/C][/ROW]
[ROW][C]0.38[/C][C]93.0486948923148[/C][C]0.757048991633149[/C][/ROW]
[ROW][C]0.39[/C][C]93.1894346220299[/C][C]0.716949918256251[/C][/ROW]
[ROW][C]0.4[/C][C]93.3224343646135[/C][C]0.68161912536507[/C][/ROW]
[ROW][C]0.41[/C][C]93.4487264683913[/C][C]0.651861388956457[/C][/ROW]
[ROW][C]0.42[/C][C]93.5694107546794[/C][C]0.627613653174813[/C][/ROW]
[ROW][C]0.43[/C][C]93.6856079376097[/C][C]0.609069056572033[/C][/ROW]
[ROW][C]0.44[/C][C]93.7984263681416[/C][C]0.596227724107601[/C][/ROW]
[ROW][C]0.45[/C][C]93.9089394877359[/C][C]0.588639945837513[/C][/ROW]
[ROW][C]0.46[/C][C]94.0181710200198[/C][C]0.586144833148573[/C][/ROW]
[ROW][C]0.47[/C][C]94.1270847406322[/C][C]0.588510071617078[/C][/ROW]
[ROW][C]0.48[/C][C]94.2365756428786[/C][C]0.595256876677252[/C][/ROW]
[ROW][C]0.49[/C][C]94.3474596346424[/C][C]0.60599716035622[/C][/ROW]
[ROW][C]0.5[/C][C]94.460459768859[/C][C]0.620375230548895[/C][/ROW]
[ROW][C]0.51[/C][C]94.5761885097363[/C][C]0.637500326237881[/C][/ROW]
[ROW][C]0.52[/C][C]94.6951275189161[/C][C]0.65677891685865[/C][/ROW]
[ROW][C]0.53[/C][C]94.8176085050667[/C][C]0.677280675205908[/C][/ROW]
[ROW][C]0.54[/C][C]94.9438002426541[/C][C]0.697854773913073[/C][/ROW]
[ROW][C]0.55[/C][C]95.0737073530434[/C][C]0.717457381076879[/C][/ROW]
[ROW][C]0.56[/C][C]95.2071854685308[/C][C]0.735245278265438[/C][/ROW]
[ROW][C]0.57[/C][C]95.3439749335588[/C][C]0.750455024106376[/C][/ROW]
[ROW][C]0.58[/C][C]95.4837516164446[/C][C]0.762898578869732[/C][/ROW]
[ROW][C]0.59[/C][C]95.6261894382891[/C][C]0.772667224591754[/C][/ROW]
[ROW][C]0.6[/C][C]95.771025780468[/C][C]0.780297409295604[/C][/ROW]
[ROW][C]0.61[/C][C]95.918118871434[/C][C]0.786873982412981[/C][/ROW]
[ROW][C]0.62[/C][C]96.0674861962831[/C][C]0.793383338264876[/C][/ROW]
[ROW][C]0.63[/C][C]96.2193151690317[/C][C]0.800990484788828[/C][/ROW]
[ROW][C]0.64[/C][C]96.3739416053307[/C][C]0.810634094031797[/C][/ROW]
[ROW][C]0.65[/C][C]96.5317974030316[/C][C]0.822766310951651[/C][/ROW]
[ROW][C]0.66[/C][C]96.6933354165541[/C][C]0.837327693979923[/C][/ROW]
[ROW][C]0.67[/C][C]96.858945643303[/C][C]0.853642014746607[/C][/ROW]
[ROW][C]0.68[/C][C]97.0288811527737[/C][C]0.870487055515246[/C][/ROW]
[ROW][C]0.69[/C][C]97.2032132654418[/C][C]0.88645591398043[/C][/ROW]
[ROW][C]0.7[/C][C]97.3818322065678[/C][C]0.900092567009653[/C][/ROW]
[ROW][C]0.71[/C][C]97.5645014574868[/C][C]0.910609997270132[/C][/ROW]
[ROW][C]0.72[/C][C]97.7509621485614[/C][C]0.91767636322277[/C][/ROW]
[ROW][C]0.73[/C][C]97.9410703252182[/C][C]0.922091741698922[/C][/ROW]
[ROW][C]0.74[/C][C]98.1349381368727[/C][C]0.925505603165402[/C][/ROW]
[ROW][C]0.75[/C][C]98.333043672515[/C][C]0.930151999277734[/C][/ROW]
[ROW][C]0.76[/C][C]98.5362763427721[/C][C]0.93858034646067[/C][/ROW]
[ROW][C]0.77[/C][C]98.7458968413973[/C][C]0.952769550163577[/C][/ROW]
[ROW][C]0.78[/C][C]98.9634122159122[/C][C]0.97361949095214[/C][/ROW]
[ROW][C]0.79[/C][C]99.1903947945056[/C][C]1.00053761386329[/C][/ROW]
[ROW][C]0.8[/C][C]99.4283039896357[/C][C]1.03201030059089[/C][/ROW]
[ROW][C]0.81[/C][C]99.6783951370638[/C][C]1.065215899448[/C][/ROW]
[ROW][C]0.82[/C][C]99.9418087666712[/C][C]1.09788851423265[/C][/ROW]
[ROW][C]0.83[/C][C]100.219912407113[/C][C]1.12915718693295[/C][/ROW]
[ROW][C]0.84[/C][C]100.514899948886[/C][C]1.16113489513385[/C][/ROW]
[ROW][C]0.85[/C][C]100.830534655651[/C][C]1.19973924936132[/C][/ROW]
[ROW][C]0.86[/C][C]101.172770671684[/C][C]1.254528685328[/C][/ROW]
[ROW][C]0.87[/C][C]101.54986537557[/C][C]1.33625344570075[/C][/ROW]
[ROW][C]0.88[/C][C]101.971601761467[/C][C]1.45048789980232[/C][/ROW]
[ROW][C]0.89[/C][C]102.447473921743[/C][C]1.59188094239712[/C][/ROW]
[ROW][C]0.9[/C][C]102.984152828513[/C][C]1.74113929617927[/C][/ROW]
[ROW][C]0.91[/C][C]103.583048997158[/C][C]1.86921874598568[/C][/ROW]
[ROW][C]0.92[/C][C]104.238922781947[/C][C]1.9468156123171[/C][/ROW]
[ROW][C]0.93[/C][C]104.939886130662[/C][C]1.95552157139966[/C][/ROW]
[ROW][C]0.94[/C][C]105.667926160532[/C][C]1.89165135151777[/C][/ROW]
[ROW][C]0.95[/C][C]106.39830272719[/C][C]1.75701896094261[/C][/ROW]
[ROW][C]0.96[/C][C]107.097324895703[/C][C]1.54224737098421[/C][/ROW]
[ROW][C]0.97[/C][C]107.721218206067[/C][C]1.22828270299067[/C][/ROW]
[ROW][C]0.98[/C][C]108.220975375012[/C][C]0.825679385272214[/C][/ROW]
[ROW][C]0.99[/C][C]108.555360969599[/C][C]0.429188824408827[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292769&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292769&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
0.0184.1296583564851.01470160299854
0.0284.67777937271610.967226387295647
0.0385.25870504791490.998440787355533
0.0485.80148476949511.02638536983387
0.0586.29072615821271.01581016629189
0.0686.72865538991290.984579209846355
0.0787.12101753409470.952827848970721
0.0887.47387450047860.921702987577426
0.0987.79221263552070.883302438243258
0.188.07932179080270.833226226895435
0.1188.33728529652190.77465260379695
0.1288.56798985901950.71440736838045
0.1388.77385948353710.658735459955814
0.1488.95802619524610.61145607548527
0.1589.12412100991580.574234355806312
0.1689.27598885707980.547873647674651
0.1789.41750712404160.533693353422914
0.1889.55252191427310.533471229834107
0.1989.6848249794430.548464660358184
0.289.81809012159530.579795811240612
0.2189.95573187675210.626114645744068
0.2290.10069935791060.684712954654452
0.2390.2552501417030.751551083984632
0.2490.4207575963640.821661563731631
0.2590.59759555077970.88977166744701
0.2690.78512532613810.950759086768765
0.2790.98178916696541.00064747238596
0.2891.18529561835951.03606148262637
0.2991.3928688209361.05546704662859
0.391.60152617669571.05847613775647
0.3191.80834775689331.04614411912997
0.3292.01070580011871.02077523951538
0.3392.20643237380990.985237540668963
0.3492.3939155335830.942442138060063
0.3592.57212643070580.895856924396984
0.3692.74058934666590.848000612153284
0.3792.89931204863520.801135610517255
0.3893.04869489231480.757048991633149
0.3993.18943462202990.716949918256251
0.493.32243436461350.68161912536507
0.4193.44872646839130.651861388956457
0.4293.56941075467940.627613653174813
0.4393.68560793760970.609069056572033
0.4493.79842636814160.596227724107601
0.4593.90893948773590.588639945837513
0.4694.01817102001980.586144833148573
0.4794.12708474063220.588510071617078
0.4894.23657564287860.595256876677252
0.4994.34745963464240.60599716035622
0.594.4604597688590.620375230548895
0.5194.57618850973630.637500326237881
0.5294.69512751891610.65677891685865
0.5394.81760850506670.677280675205908
0.5494.94380024265410.697854773913073
0.5595.07370735304340.717457381076879
0.5695.20718546853080.735245278265438
0.5795.34397493355880.750455024106376
0.5895.48375161644460.762898578869732
0.5995.62618943828910.772667224591754
0.695.7710257804680.780297409295604
0.6195.9181188714340.786873982412981
0.6296.06748619628310.793383338264876
0.6396.21931516903170.800990484788828
0.6496.37394160533070.810634094031797
0.6596.53179740303160.822766310951651
0.6696.69333541655410.837327693979923
0.6796.8589456433030.853642014746607
0.6897.02888115277370.870487055515246
0.6997.20321326544180.88645591398043
0.797.38183220656780.900092567009653
0.7197.56450145748680.910609997270132
0.7297.75096214856140.91767636322277
0.7397.94107032521820.922091741698922
0.7498.13493813687270.925505603165402
0.7598.3330436725150.930151999277734
0.7698.53627634277210.93858034646067
0.7798.74589684139730.952769550163577
0.7898.96341221591220.97361949095214
0.7999.19039479450561.00053761386329
0.899.42830398963571.03201030059089
0.8199.67839513706381.065215899448
0.8299.94180876667121.09788851423265
0.83100.2199124071131.12915718693295
0.84100.5148999488861.16113489513385
0.85100.8305346556511.19973924936132
0.86101.1727706716841.254528685328
0.87101.549865375571.33625344570075
0.88101.9716017614671.45048789980232
0.89102.4474739217431.59188094239712
0.9102.9841528285131.74113929617927
0.91103.5830489971581.86921874598568
0.92104.2389227819471.9468156123171
0.93104.9398861306621.95552157139966
0.94105.6679261605321.89165135151777
0.95106.398302727191.75701896094261
0.96107.0973248957031.54224737098421
0.97107.7212182060671.22828270299067
0.98108.2209753750120.825679385272214
0.99108.5553609695990.429188824408827


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')