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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 computationMon, 07 Mar 2016 16:19:04 +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/Mar/07/t1457367589093hplze1bvrfie.htm/, Retrieved Tue, 30 Apr 2024 22:20:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293594, Retrieved Tue, 30 Apr 2024 22:20:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [] [2016-03-07 16:19:04] [a1d1814f81d637d5e936c79e282724ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89,65
90,65
89,34
89,15
88,82
88,82
91,97
93,01
93,24
93,2
93,19
92,2
93,39
94,75
94,25
94,37
94,02
92,77
92,64
93,19
92,74
92,52
92,25
91,6
93,73
96,21
96,36
95,69
95,07
95,5
95,22
97,41
98,31
98,54
98,45
98,03
101,45
102,44
102,42
100,98
100,69
100,28
98,06
97,37
97,25
98,93
100,04
100,09
100,79
99,76
99,63
99,26
99,69
99,17
98,79
97,97
98,1
97,91
97,16
96,8
97,46
96,59
96,35
96,12
96,16
95,95
96,06
95,89
95,9
95,82
95,54
95,51

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293594&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293594&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293594&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0188.85709488943630.109958819123235
0.0288.95339818315920.266196531615595
0.0389.11692654934380.43831671364337
0.0489.34508239112850.625233757789296
0.0589.63059508100370.81344510447494
0.0689.96192634462690.970552478312791
0.0790.32206306929151.06549312359051
0.0890.68993169158511.08457944554702
0.0991.04451417985291.03529275375474
0.191.36923002301060.939007116996519
0.1191.65446164570160.821569882262711
0.1291.89765162637240.704989252825621
0.1392.10165075823460.603686816812318
0.1492.27241663529380.523948486315209
0.1592.41694795445180.465872338972664
0.1692.54189014276430.426300436085066
0.1792.65285739896780.4011486453697
0.1892.75429844300750.387046986852987
0.1992.8496734813630.38200908148392
0.292.94174348444660.385163962386937
0.2193.03283943233920.39683620946837
0.2293.12504307362830.417132382434418
0.2393.22025899351410.446257466433413
0.2493.32018986095690.483346187050349
0.2593.42624565181790.526472813554484
0.2693.53942588071450.573100499640764
0.2793.66021296346250.620081684283756
0.2893.78850655184330.664350649727666
0.2993.92361580589920.702832421441375
0.394.06431259451260.73287989109207
0.3194.20893680137270.752990156486828
0.3294.3555373317380.76170218224114
0.3394.50202955362990.759200130408421
0.3494.64635093524350.745395160950073
0.3594.78660008241030.722047733052488
0.3694.92114880529470.69046083530325
0.3795.04872128534580.652538366670559
0.3895.16843842960530.610701862748121
0.3995.27982897895390.567004247404438
0.495.38281184181510.523421045250124
0.4195.47765632565770.48185626318931
0.4295.56492820673320.443916754674644
0.4395.64542969974950.41064347169319
0.4495.72014030845220.382732511317228
0.4595.79016344801760.361168478188861
0.4695.85668106213570.345956661200882
0.4795.9209157848780.337533539666954
0.4895.98409809443850.335896175009561
0.4996.04743481452040.340836347557062
0.596.11207545577620.352021199265061
0.5196.17907420424250.368868059180783
0.5296.24934754864330.390382812452633
0.5396.32363007990470.415234991151889
0.5496.40243326430780.442113069049406
0.5596.48601336641770.469368190424173
0.5696.57435471879570.495352356600369
0.5796.66717304418390.518297006045927
0.5896.76394076536060.537225358616103
0.5996.8639328005180.551055804497873
0.696.96628809067420.559380923181469
0.6197.07007988827180.561967964877039
0.6297.17438721388490.559287872877814
0.6397.27836092094880.551865849551954
0.6497.38128000652790.540780835759477
0.6597.48259628967980.526997971007623
0.6697.58196740951770.511472600124321
0.6797.67927865523060.495506258316374
0.6897.77465340317760.480484268695185
0.6997.86845049586570.4673261085909
0.797.96124572796370.457333944424052
0.7198.05379463561550.451523506127225
0.7298.14697548035070.450370712387547
0.7398.24171444645520.453852864868456
0.7498.33889878731880.461550425615144
0.7598.43928686903660.472437287932803
0.7698.54342589799620.485045411366573
0.7798.65158828106040.497753051083617
0.7898.76373635141640.508861106695338
0.7998.87952318916340.516914887642873
0.898.9983348493310.520648812733775
0.8199.11937623237860.519444813831238
0.8299.24179817768220.513062330094209
0.8399.36485602540470.502155099646048
0.8499.48807956253030.488009867511322
0.8599.6114227489720.472784256268432
0.8699.73535422939620.458808288621318
0.8799.86085597602260.448278572130967
0.8899.98932980861320.44250090381975
0.89100.1224783059370.441528801986906
0.9100.2623171454670.444025806095549
0.91100.4115379076190.448837510772452
0.92100.5743582355150.457487615500275
0.93100.7575983985290.476564700053659
0.94100.9708876493940.516507357415882
0.95101.223879322090.581791172770055
0.96101.5183159747720.651408674818966
0.97101.8359932733240.665385960160679
0.98102.1313732297290.545180431633584
0.99102.3444180140450.277862089174247

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 88.8570948894363 & 0.109958819123235 \tabularnewline
0.02 & 88.9533981831592 & 0.266196531615595 \tabularnewline
0.03 & 89.1169265493438 & 0.43831671364337 \tabularnewline
0.04 & 89.3450823911285 & 0.625233757789296 \tabularnewline
0.05 & 89.6305950810037 & 0.81344510447494 \tabularnewline
0.06 & 89.9619263446269 & 0.970552478312791 \tabularnewline
0.07 & 90.3220630692915 & 1.06549312359051 \tabularnewline
0.08 & 90.6899316915851 & 1.08457944554702 \tabularnewline
0.09 & 91.0445141798529 & 1.03529275375474 \tabularnewline
0.1 & 91.3692300230106 & 0.939007116996519 \tabularnewline
0.11 & 91.6544616457016 & 0.821569882262711 \tabularnewline
0.12 & 91.8976516263724 & 0.704989252825621 \tabularnewline
0.13 & 92.1016507582346 & 0.603686816812318 \tabularnewline
0.14 & 92.2724166352938 & 0.523948486315209 \tabularnewline
0.15 & 92.4169479544518 & 0.465872338972664 \tabularnewline
0.16 & 92.5418901427643 & 0.426300436085066 \tabularnewline
0.17 & 92.6528573989678 & 0.4011486453697 \tabularnewline
0.18 & 92.7542984430075 & 0.387046986852987 \tabularnewline
0.19 & 92.849673481363 & 0.38200908148392 \tabularnewline
0.2 & 92.9417434844466 & 0.385163962386937 \tabularnewline
0.21 & 93.0328394323392 & 0.39683620946837 \tabularnewline
0.22 & 93.1250430736283 & 0.417132382434418 \tabularnewline
0.23 & 93.2202589935141 & 0.446257466433413 \tabularnewline
0.24 & 93.3201898609569 & 0.483346187050349 \tabularnewline
0.25 & 93.4262456518179 & 0.526472813554484 \tabularnewline
0.26 & 93.5394258807145 & 0.573100499640764 \tabularnewline
0.27 & 93.6602129634625 & 0.620081684283756 \tabularnewline
0.28 & 93.7885065518433 & 0.664350649727666 \tabularnewline
0.29 & 93.9236158058992 & 0.702832421441375 \tabularnewline
0.3 & 94.0643125945126 & 0.73287989109207 \tabularnewline
0.31 & 94.2089368013727 & 0.752990156486828 \tabularnewline
0.32 & 94.355537331738 & 0.76170218224114 \tabularnewline
0.33 & 94.5020295536299 & 0.759200130408421 \tabularnewline
0.34 & 94.6463509352435 & 0.745395160950073 \tabularnewline
0.35 & 94.7866000824103 & 0.722047733052488 \tabularnewline
0.36 & 94.9211488052947 & 0.69046083530325 \tabularnewline
0.37 & 95.0487212853458 & 0.652538366670559 \tabularnewline
0.38 & 95.1684384296053 & 0.610701862748121 \tabularnewline
0.39 & 95.2798289789539 & 0.567004247404438 \tabularnewline
0.4 & 95.3828118418151 & 0.523421045250124 \tabularnewline
0.41 & 95.4776563256577 & 0.48185626318931 \tabularnewline
0.42 & 95.5649282067332 & 0.443916754674644 \tabularnewline
0.43 & 95.6454296997495 & 0.41064347169319 \tabularnewline
0.44 & 95.7201403084522 & 0.382732511317228 \tabularnewline
0.45 & 95.7901634480176 & 0.361168478188861 \tabularnewline
0.46 & 95.8566810621357 & 0.345956661200882 \tabularnewline
0.47 & 95.920915784878 & 0.337533539666954 \tabularnewline
0.48 & 95.9840980944385 & 0.335896175009561 \tabularnewline
0.49 & 96.0474348145204 & 0.340836347557062 \tabularnewline
0.5 & 96.1120754557762 & 0.352021199265061 \tabularnewline
0.51 & 96.1790742042425 & 0.368868059180783 \tabularnewline
0.52 & 96.2493475486433 & 0.390382812452633 \tabularnewline
0.53 & 96.3236300799047 & 0.415234991151889 \tabularnewline
0.54 & 96.4024332643078 & 0.442113069049406 \tabularnewline
0.55 & 96.4860133664177 & 0.469368190424173 \tabularnewline
0.56 & 96.5743547187957 & 0.495352356600369 \tabularnewline
0.57 & 96.6671730441839 & 0.518297006045927 \tabularnewline
0.58 & 96.7639407653606 & 0.537225358616103 \tabularnewline
0.59 & 96.863932800518 & 0.551055804497873 \tabularnewline
0.6 & 96.9662880906742 & 0.559380923181469 \tabularnewline
0.61 & 97.0700798882718 & 0.561967964877039 \tabularnewline
0.62 & 97.1743872138849 & 0.559287872877814 \tabularnewline
0.63 & 97.2783609209488 & 0.551865849551954 \tabularnewline
0.64 & 97.3812800065279 & 0.540780835759477 \tabularnewline
0.65 & 97.4825962896798 & 0.526997971007623 \tabularnewline
0.66 & 97.5819674095177 & 0.511472600124321 \tabularnewline
0.67 & 97.6792786552306 & 0.495506258316374 \tabularnewline
0.68 & 97.7746534031776 & 0.480484268695185 \tabularnewline
0.69 & 97.8684504958657 & 0.4673261085909 \tabularnewline
0.7 & 97.9612457279637 & 0.457333944424052 \tabularnewline
0.71 & 98.0537946356155 & 0.451523506127225 \tabularnewline
0.72 & 98.1469754803507 & 0.450370712387547 \tabularnewline
0.73 & 98.2417144464552 & 0.453852864868456 \tabularnewline
0.74 & 98.3388987873188 & 0.461550425615144 \tabularnewline
0.75 & 98.4392868690366 & 0.472437287932803 \tabularnewline
0.76 & 98.5434258979962 & 0.485045411366573 \tabularnewline
0.77 & 98.6515882810604 & 0.497753051083617 \tabularnewline
0.78 & 98.7637363514164 & 0.508861106695338 \tabularnewline
0.79 & 98.8795231891634 & 0.516914887642873 \tabularnewline
0.8 & 98.998334849331 & 0.520648812733775 \tabularnewline
0.81 & 99.1193762323786 & 0.519444813831238 \tabularnewline
0.82 & 99.2417981776822 & 0.513062330094209 \tabularnewline
0.83 & 99.3648560254047 & 0.502155099646048 \tabularnewline
0.84 & 99.4880795625303 & 0.488009867511322 \tabularnewline
0.85 & 99.611422748972 & 0.472784256268432 \tabularnewline
0.86 & 99.7353542293962 & 0.458808288621318 \tabularnewline
0.87 & 99.8608559760226 & 0.448278572130967 \tabularnewline
0.88 & 99.9893298086132 & 0.44250090381975 \tabularnewline
0.89 & 100.122478305937 & 0.441528801986906 \tabularnewline
0.9 & 100.262317145467 & 0.444025806095549 \tabularnewline
0.91 & 100.411537907619 & 0.448837510772452 \tabularnewline
0.92 & 100.574358235515 & 0.457487615500275 \tabularnewline
0.93 & 100.757598398529 & 0.476564700053659 \tabularnewline
0.94 & 100.970887649394 & 0.516507357415882 \tabularnewline
0.95 & 101.22387932209 & 0.581791172770055 \tabularnewline
0.96 & 101.518315974772 & 0.651408674818966 \tabularnewline
0.97 & 101.835993273324 & 0.665385960160679 \tabularnewline
0.98 & 102.131373229729 & 0.545180431633584 \tabularnewline
0.99 & 102.344418014045 & 0.277862089174247 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293594&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]88.8570948894363[/C][C]0.109958819123235[/C][/ROW]
[ROW][C]0.02[/C][C]88.9533981831592[/C][C]0.266196531615595[/C][/ROW]
[ROW][C]0.03[/C][C]89.1169265493438[/C][C]0.43831671364337[/C][/ROW]
[ROW][C]0.04[/C][C]89.3450823911285[/C][C]0.625233757789296[/C][/ROW]
[ROW][C]0.05[/C][C]89.6305950810037[/C][C]0.81344510447494[/C][/ROW]
[ROW][C]0.06[/C][C]89.9619263446269[/C][C]0.970552478312791[/C][/ROW]
[ROW][C]0.07[/C][C]90.3220630692915[/C][C]1.06549312359051[/C][/ROW]
[ROW][C]0.08[/C][C]90.6899316915851[/C][C]1.08457944554702[/C][/ROW]
[ROW][C]0.09[/C][C]91.0445141798529[/C][C]1.03529275375474[/C][/ROW]
[ROW][C]0.1[/C][C]91.3692300230106[/C][C]0.939007116996519[/C][/ROW]
[ROW][C]0.11[/C][C]91.6544616457016[/C][C]0.821569882262711[/C][/ROW]
[ROW][C]0.12[/C][C]91.8976516263724[/C][C]0.704989252825621[/C][/ROW]
[ROW][C]0.13[/C][C]92.1016507582346[/C][C]0.603686816812318[/C][/ROW]
[ROW][C]0.14[/C][C]92.2724166352938[/C][C]0.523948486315209[/C][/ROW]
[ROW][C]0.15[/C][C]92.4169479544518[/C][C]0.465872338972664[/C][/ROW]
[ROW][C]0.16[/C][C]92.5418901427643[/C][C]0.426300436085066[/C][/ROW]
[ROW][C]0.17[/C][C]92.6528573989678[/C][C]0.4011486453697[/C][/ROW]
[ROW][C]0.18[/C][C]92.7542984430075[/C][C]0.387046986852987[/C][/ROW]
[ROW][C]0.19[/C][C]92.849673481363[/C][C]0.38200908148392[/C][/ROW]
[ROW][C]0.2[/C][C]92.9417434844466[/C][C]0.385163962386937[/C][/ROW]
[ROW][C]0.21[/C][C]93.0328394323392[/C][C]0.39683620946837[/C][/ROW]
[ROW][C]0.22[/C][C]93.1250430736283[/C][C]0.417132382434418[/C][/ROW]
[ROW][C]0.23[/C][C]93.2202589935141[/C][C]0.446257466433413[/C][/ROW]
[ROW][C]0.24[/C][C]93.3201898609569[/C][C]0.483346187050349[/C][/ROW]
[ROW][C]0.25[/C][C]93.4262456518179[/C][C]0.526472813554484[/C][/ROW]
[ROW][C]0.26[/C][C]93.5394258807145[/C][C]0.573100499640764[/C][/ROW]
[ROW][C]0.27[/C][C]93.6602129634625[/C][C]0.620081684283756[/C][/ROW]
[ROW][C]0.28[/C][C]93.7885065518433[/C][C]0.664350649727666[/C][/ROW]
[ROW][C]0.29[/C][C]93.9236158058992[/C][C]0.702832421441375[/C][/ROW]
[ROW][C]0.3[/C][C]94.0643125945126[/C][C]0.73287989109207[/C][/ROW]
[ROW][C]0.31[/C][C]94.2089368013727[/C][C]0.752990156486828[/C][/ROW]
[ROW][C]0.32[/C][C]94.355537331738[/C][C]0.76170218224114[/C][/ROW]
[ROW][C]0.33[/C][C]94.5020295536299[/C][C]0.759200130408421[/C][/ROW]
[ROW][C]0.34[/C][C]94.6463509352435[/C][C]0.745395160950073[/C][/ROW]
[ROW][C]0.35[/C][C]94.7866000824103[/C][C]0.722047733052488[/C][/ROW]
[ROW][C]0.36[/C][C]94.9211488052947[/C][C]0.69046083530325[/C][/ROW]
[ROW][C]0.37[/C][C]95.0487212853458[/C][C]0.652538366670559[/C][/ROW]
[ROW][C]0.38[/C][C]95.1684384296053[/C][C]0.610701862748121[/C][/ROW]
[ROW][C]0.39[/C][C]95.2798289789539[/C][C]0.567004247404438[/C][/ROW]
[ROW][C]0.4[/C][C]95.3828118418151[/C][C]0.523421045250124[/C][/ROW]
[ROW][C]0.41[/C][C]95.4776563256577[/C][C]0.48185626318931[/C][/ROW]
[ROW][C]0.42[/C][C]95.5649282067332[/C][C]0.443916754674644[/C][/ROW]
[ROW][C]0.43[/C][C]95.6454296997495[/C][C]0.41064347169319[/C][/ROW]
[ROW][C]0.44[/C][C]95.7201403084522[/C][C]0.382732511317228[/C][/ROW]
[ROW][C]0.45[/C][C]95.7901634480176[/C][C]0.361168478188861[/C][/ROW]
[ROW][C]0.46[/C][C]95.8566810621357[/C][C]0.345956661200882[/C][/ROW]
[ROW][C]0.47[/C][C]95.920915784878[/C][C]0.337533539666954[/C][/ROW]
[ROW][C]0.48[/C][C]95.9840980944385[/C][C]0.335896175009561[/C][/ROW]
[ROW][C]0.49[/C][C]96.0474348145204[/C][C]0.340836347557062[/C][/ROW]
[ROW][C]0.5[/C][C]96.1120754557762[/C][C]0.352021199265061[/C][/ROW]
[ROW][C]0.51[/C][C]96.1790742042425[/C][C]0.368868059180783[/C][/ROW]
[ROW][C]0.52[/C][C]96.2493475486433[/C][C]0.390382812452633[/C][/ROW]
[ROW][C]0.53[/C][C]96.3236300799047[/C][C]0.415234991151889[/C][/ROW]
[ROW][C]0.54[/C][C]96.4024332643078[/C][C]0.442113069049406[/C][/ROW]
[ROW][C]0.55[/C][C]96.4860133664177[/C][C]0.469368190424173[/C][/ROW]
[ROW][C]0.56[/C][C]96.5743547187957[/C][C]0.495352356600369[/C][/ROW]
[ROW][C]0.57[/C][C]96.6671730441839[/C][C]0.518297006045927[/C][/ROW]
[ROW][C]0.58[/C][C]96.7639407653606[/C][C]0.537225358616103[/C][/ROW]
[ROW][C]0.59[/C][C]96.863932800518[/C][C]0.551055804497873[/C][/ROW]
[ROW][C]0.6[/C][C]96.9662880906742[/C][C]0.559380923181469[/C][/ROW]
[ROW][C]0.61[/C][C]97.0700798882718[/C][C]0.561967964877039[/C][/ROW]
[ROW][C]0.62[/C][C]97.1743872138849[/C][C]0.559287872877814[/C][/ROW]
[ROW][C]0.63[/C][C]97.2783609209488[/C][C]0.551865849551954[/C][/ROW]
[ROW][C]0.64[/C][C]97.3812800065279[/C][C]0.540780835759477[/C][/ROW]
[ROW][C]0.65[/C][C]97.4825962896798[/C][C]0.526997971007623[/C][/ROW]
[ROW][C]0.66[/C][C]97.5819674095177[/C][C]0.511472600124321[/C][/ROW]
[ROW][C]0.67[/C][C]97.6792786552306[/C][C]0.495506258316374[/C][/ROW]
[ROW][C]0.68[/C][C]97.7746534031776[/C][C]0.480484268695185[/C][/ROW]
[ROW][C]0.69[/C][C]97.8684504958657[/C][C]0.4673261085909[/C][/ROW]
[ROW][C]0.7[/C][C]97.9612457279637[/C][C]0.457333944424052[/C][/ROW]
[ROW][C]0.71[/C][C]98.0537946356155[/C][C]0.451523506127225[/C][/ROW]
[ROW][C]0.72[/C][C]98.1469754803507[/C][C]0.450370712387547[/C][/ROW]
[ROW][C]0.73[/C][C]98.2417144464552[/C][C]0.453852864868456[/C][/ROW]
[ROW][C]0.74[/C][C]98.3388987873188[/C][C]0.461550425615144[/C][/ROW]
[ROW][C]0.75[/C][C]98.4392868690366[/C][C]0.472437287932803[/C][/ROW]
[ROW][C]0.76[/C][C]98.5434258979962[/C][C]0.485045411366573[/C][/ROW]
[ROW][C]0.77[/C][C]98.6515882810604[/C][C]0.497753051083617[/C][/ROW]
[ROW][C]0.78[/C][C]98.7637363514164[/C][C]0.508861106695338[/C][/ROW]
[ROW][C]0.79[/C][C]98.8795231891634[/C][C]0.516914887642873[/C][/ROW]
[ROW][C]0.8[/C][C]98.998334849331[/C][C]0.520648812733775[/C][/ROW]
[ROW][C]0.81[/C][C]99.1193762323786[/C][C]0.519444813831238[/C][/ROW]
[ROW][C]0.82[/C][C]99.2417981776822[/C][C]0.513062330094209[/C][/ROW]
[ROW][C]0.83[/C][C]99.3648560254047[/C][C]0.502155099646048[/C][/ROW]
[ROW][C]0.84[/C][C]99.4880795625303[/C][C]0.488009867511322[/C][/ROW]
[ROW][C]0.85[/C][C]99.611422748972[/C][C]0.472784256268432[/C][/ROW]
[ROW][C]0.86[/C][C]99.7353542293962[/C][C]0.458808288621318[/C][/ROW]
[ROW][C]0.87[/C][C]99.8608559760226[/C][C]0.448278572130967[/C][/ROW]
[ROW][C]0.88[/C][C]99.9893298086132[/C][C]0.44250090381975[/C][/ROW]
[ROW][C]0.89[/C][C]100.122478305937[/C][C]0.441528801986906[/C][/ROW]
[ROW][C]0.9[/C][C]100.262317145467[/C][C]0.444025806095549[/C][/ROW]
[ROW][C]0.91[/C][C]100.411537907619[/C][C]0.448837510772452[/C][/ROW]
[ROW][C]0.92[/C][C]100.574358235515[/C][C]0.457487615500275[/C][/ROW]
[ROW][C]0.93[/C][C]100.757598398529[/C][C]0.476564700053659[/C][/ROW]
[ROW][C]0.94[/C][C]100.970887649394[/C][C]0.516507357415882[/C][/ROW]
[ROW][C]0.95[/C][C]101.22387932209[/C][C]0.581791172770055[/C][/ROW]
[ROW][C]0.96[/C][C]101.518315974772[/C][C]0.651408674818966[/C][/ROW]
[ROW][C]0.97[/C][C]101.835993273324[/C][C]0.665385960160679[/C][/ROW]
[ROW][C]0.98[/C][C]102.131373229729[/C][C]0.545180431633584[/C][/ROW]
[ROW][C]0.99[/C][C]102.344418014045[/C][C]0.277862089174247[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293594&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293594&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
0.0188.85709488943630.109958819123235
0.0288.95339818315920.266196531615595
0.0389.11692654934380.43831671364337
0.0489.34508239112850.625233757789296
0.0589.63059508100370.81344510447494
0.0689.96192634462690.970552478312791
0.0790.32206306929151.06549312359051
0.0890.68993169158511.08457944554702
0.0991.04451417985291.03529275375474
0.191.36923002301060.939007116996519
0.1191.65446164570160.821569882262711
0.1291.89765162637240.704989252825621
0.1392.10165075823460.603686816812318
0.1492.27241663529380.523948486315209
0.1592.41694795445180.465872338972664
0.1692.54189014276430.426300436085066
0.1792.65285739896780.4011486453697
0.1892.75429844300750.387046986852987
0.1992.8496734813630.38200908148392
0.292.94174348444660.385163962386937
0.2193.03283943233920.39683620946837
0.2293.12504307362830.417132382434418
0.2393.22025899351410.446257466433413
0.2493.32018986095690.483346187050349
0.2593.42624565181790.526472813554484
0.2693.53942588071450.573100499640764
0.2793.66021296346250.620081684283756
0.2893.78850655184330.664350649727666
0.2993.92361580589920.702832421441375
0.394.06431259451260.73287989109207
0.3194.20893680137270.752990156486828
0.3294.3555373317380.76170218224114
0.3394.50202955362990.759200130408421
0.3494.64635093524350.745395160950073
0.3594.78660008241030.722047733052488
0.3694.92114880529470.69046083530325
0.3795.04872128534580.652538366670559
0.3895.16843842960530.610701862748121
0.3995.27982897895390.567004247404438
0.495.38281184181510.523421045250124
0.4195.47765632565770.48185626318931
0.4295.56492820673320.443916754674644
0.4395.64542969974950.41064347169319
0.4495.72014030845220.382732511317228
0.4595.79016344801760.361168478188861
0.4695.85668106213570.345956661200882
0.4795.9209157848780.337533539666954
0.4895.98409809443850.335896175009561
0.4996.04743481452040.340836347557062
0.596.11207545577620.352021199265061
0.5196.17907420424250.368868059180783
0.5296.24934754864330.390382812452633
0.5396.32363007990470.415234991151889
0.5496.40243326430780.442113069049406
0.5596.48601336641770.469368190424173
0.5696.57435471879570.495352356600369
0.5796.66717304418390.518297006045927
0.5896.76394076536060.537225358616103
0.5996.8639328005180.551055804497873
0.696.96628809067420.559380923181469
0.6197.07007988827180.561967964877039
0.6297.17438721388490.559287872877814
0.6397.27836092094880.551865849551954
0.6497.38128000652790.540780835759477
0.6597.48259628967980.526997971007623
0.6697.58196740951770.511472600124321
0.6797.67927865523060.495506258316374
0.6897.77465340317760.480484268695185
0.6997.86845049586570.4673261085909
0.797.96124572796370.457333944424052
0.7198.05379463561550.451523506127225
0.7298.14697548035070.450370712387547
0.7398.24171444645520.453852864868456
0.7498.33889878731880.461550425615144
0.7598.43928686903660.472437287932803
0.7698.54342589799620.485045411366573
0.7798.65158828106040.497753051083617
0.7898.76373635141640.508861106695338
0.7998.87952318916340.516914887642873
0.898.9983348493310.520648812733775
0.8199.11937623237860.519444813831238
0.8299.24179817768220.513062330094209
0.8399.36485602540470.502155099646048
0.8499.48807956253030.488009867511322
0.8599.6114227489720.472784256268432
0.8699.73535422939620.458808288621318
0.8799.86085597602260.448278572130967
0.8899.98932980861320.44250090381975
0.89100.1224783059370.441528801986906
0.9100.2623171454670.444025806095549
0.91100.4115379076190.448837510772452
0.92100.5743582355150.457487615500275
0.93100.7575983985290.476564700053659
0.94100.9708876493940.516507357415882
0.95101.223879322090.581791172770055
0.96101.5183159747720.651408674818966
0.97101.8359932733240.665385960160679
0.98102.1313732297290.545180431633584
0.99102.3444180140450.277862089174247


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')