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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 computationWed, 23 May 2012 10:44:41 -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/2012/May/23/t1337784666cco7axwg6bgpphq.htm/, Retrieved Sun, 28 Apr 2024 22:08:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167203, Retrieved Sun, 28 Apr 2024 22:08:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact151

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] [] [2012-05-23 14:44:41] [d94b10b2615af2e11b32dea0ad6a3c7b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
227.81
227.81
227.01
227.26
227.1
227.59
227.59
227.7
227.75
226.33
225.95
226.33
226.33
226.22
224.84
221.88
222.37
221.8
221.8
221.8
221.9
220.2
219.95
220.05
220.05
220.05
220.62
221.53
221.61
221.5
221.5
221.87
222.27
220.86
221.49
221.67
221.67
221.72
221.67
220.29
220.75
219.59
219.59
219.59
219.82
221.59
220.9
221.01
221.01
219.69
221
219.82
218.04
217.97
217.97
217.53
217
217.18
217.68
217.71

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=167203&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=167203&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167203&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
0.01217.0597260952080.203753509878587
0.02217.160308570840.243002262529842
0.03217.2815701694040.269636804289219
0.04217.4069142964170.27837354671175
0.05217.5282963062010.284091615295289
0.06217.645223995080.305410280727283
0.07217.7618395339430.352406844236173
0.08217.8839352341520.422989785939709
0.09218.0165811057990.507599789651313
0.1218.1625972298040.593503610381217
0.11218.3218975895710.667900353514674
0.12218.4916048721910.719485135915278
0.13218.666750140780.741780560145933
0.14218.8413127884380.733063034261512
0.15219.0093316501790.696716119571038
0.16219.1658440979450.639855909755583
0.17219.3074882788590.571168196717588
0.18219.4327120801060.499749402481407
0.19219.5416354737080.432754176378418
0.2219.6356807052560.375695891432856
0.21219.7171053286420.331126279465268
0.22219.7885531047490.300055862802895
0.23219.8526952326850.281381356346169
0.24219.9119886589470.273330392639492
0.25219.9685430837890.274256104579239
0.26220.0240693936850.281870824924346
0.27220.0798783394340.294337475477865
0.28220.1369042440260.309693395529183
0.29220.1957384536870.326778838335292
0.3220.2566664757590.34379746484201
0.31220.3197086969990.359377724498639
0.32220.3846666508240.372734176839608
0.33220.4511758007680.382557607207331
0.34220.5187632002950.389127421887303
0.35220.5869056971710.392065034923187
0.36220.6550827247510.391561781029878
0.37220.722817738560.388830910483935
0.38220.7897039970310.383564080775556
0.39220.8554131610930.377272372357513
0.4220.9196883417030.369484527489132
0.41220.9823259627330.36112149994901
0.42221.0431525002350.352014198063932
0.43221.102002481490.342009085683621
0.44221.1587031033820.33071191637642
0.45221.2130687951090.317652884499288
0.46221.2649065422590.303294425332318
0.47221.3140304018930.287371057466434
0.48221.360281879880.269916078959686
0.49221.4035520308170.25147517507756
0.5221.4438013581550.232786888903958
0.51221.4810746953660.214439967113031
0.52221.5155099356620.196758151638402
0.53221.5473413727930.180746740937383
0.54221.5769001548970.16686942740603
0.55221.6046156431510.155692356392377
0.56221.6310221045650.147714049895261
0.57221.6567750310090.143623808387143
0.58221.6826803926680.144546971128585
0.59221.7097382571250.15142358055091
0.6221.7391994162050.166008600803396
0.61221.7726300114260.190359553975506
0.62221.8119748360820.226740112166267
0.63221.8596054705920.277716595129272
0.64221.9183354668180.345654849063679
0.65221.991382573670.43220832594246
0.66222.0822588614070.538928557511299
0.67222.1945748828640.665429906861113
0.68222.3317545544250.809496520037602
0.69222.4966730947130.967175975824377
0.7222.6912495082081.13200748959751
0.71222.9160444619491.29495431591432
0.72223.1699292900881.44606361937396
0.73223.4498970308721.57418607022072
0.74223.7510774395471.66952281840525
0.75224.0669928876211.72341603553057
0.76224.3900528998131.73124099751926
0.77224.7122382191271.69242428382076
0.78225.0258809117461.61100848943193
0.79225.3244168878161.49525805992573
0.8225.6029813779471.35649193095082
0.81225.8587412351291.20732032868388
0.82226.0909076493091.05996996479936
0.83226.300438260890.924649918972185
0.84226.4895025465850.807438500954822
0.85226.6608317456240.710347918483223
0.86226.8170921627770.631208389452454
0.87226.9604047906160.564916601328914
0.88227.0920907793530.506229135126694
0.89227.2126641542640.45018095791261
0.9227.3220350541240.394136741640792
0.91227.4198406367630.337390745861275
0.92227.5057939293130.281052402542098
0.93227.5799371069250.227209233195014
0.94227.6427088515450.178432454194019
0.95227.6947926286720.136248930554283
0.96227.7368113033380.100635594558346
0.97227.7690625123980.0698712111560237
0.98227.7915805227740.0417946754595539
0.99227.8047151422370.0168736033300258

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 217.059726095208 & 0.203753509878587 \tabularnewline
0.02 & 217.16030857084 & 0.243002262529842 \tabularnewline
0.03 & 217.281570169404 & 0.269636804289219 \tabularnewline
0.04 & 217.406914296417 & 0.27837354671175 \tabularnewline
0.05 & 217.528296306201 & 0.284091615295289 \tabularnewline
0.06 & 217.64522399508 & 0.305410280727283 \tabularnewline
0.07 & 217.761839533943 & 0.352406844236173 \tabularnewline
0.08 & 217.883935234152 & 0.422989785939709 \tabularnewline
0.09 & 218.016581105799 & 0.507599789651313 \tabularnewline
0.1 & 218.162597229804 & 0.593503610381217 \tabularnewline
0.11 & 218.321897589571 & 0.667900353514674 \tabularnewline
0.12 & 218.491604872191 & 0.719485135915278 \tabularnewline
0.13 & 218.66675014078 & 0.741780560145933 \tabularnewline
0.14 & 218.841312788438 & 0.733063034261512 \tabularnewline
0.15 & 219.009331650179 & 0.696716119571038 \tabularnewline
0.16 & 219.165844097945 & 0.639855909755583 \tabularnewline
0.17 & 219.307488278859 & 0.571168196717588 \tabularnewline
0.18 & 219.432712080106 & 0.499749402481407 \tabularnewline
0.19 & 219.541635473708 & 0.432754176378418 \tabularnewline
0.2 & 219.635680705256 & 0.375695891432856 \tabularnewline
0.21 & 219.717105328642 & 0.331126279465268 \tabularnewline
0.22 & 219.788553104749 & 0.300055862802895 \tabularnewline
0.23 & 219.852695232685 & 0.281381356346169 \tabularnewline
0.24 & 219.911988658947 & 0.273330392639492 \tabularnewline
0.25 & 219.968543083789 & 0.274256104579239 \tabularnewline
0.26 & 220.024069393685 & 0.281870824924346 \tabularnewline
0.27 & 220.079878339434 & 0.294337475477865 \tabularnewline
0.28 & 220.136904244026 & 0.309693395529183 \tabularnewline
0.29 & 220.195738453687 & 0.326778838335292 \tabularnewline
0.3 & 220.256666475759 & 0.34379746484201 \tabularnewline
0.31 & 220.319708696999 & 0.359377724498639 \tabularnewline
0.32 & 220.384666650824 & 0.372734176839608 \tabularnewline
0.33 & 220.451175800768 & 0.382557607207331 \tabularnewline
0.34 & 220.518763200295 & 0.389127421887303 \tabularnewline
0.35 & 220.586905697171 & 0.392065034923187 \tabularnewline
0.36 & 220.655082724751 & 0.391561781029878 \tabularnewline
0.37 & 220.72281773856 & 0.388830910483935 \tabularnewline
0.38 & 220.789703997031 & 0.383564080775556 \tabularnewline
0.39 & 220.855413161093 & 0.377272372357513 \tabularnewline
0.4 & 220.919688341703 & 0.369484527489132 \tabularnewline
0.41 & 220.982325962733 & 0.36112149994901 \tabularnewline
0.42 & 221.043152500235 & 0.352014198063932 \tabularnewline
0.43 & 221.10200248149 & 0.342009085683621 \tabularnewline
0.44 & 221.158703103382 & 0.33071191637642 \tabularnewline
0.45 & 221.213068795109 & 0.317652884499288 \tabularnewline
0.46 & 221.264906542259 & 0.303294425332318 \tabularnewline
0.47 & 221.314030401893 & 0.287371057466434 \tabularnewline
0.48 & 221.36028187988 & 0.269916078959686 \tabularnewline
0.49 & 221.403552030817 & 0.25147517507756 \tabularnewline
0.5 & 221.443801358155 & 0.232786888903958 \tabularnewline
0.51 & 221.481074695366 & 0.214439967113031 \tabularnewline
0.52 & 221.515509935662 & 0.196758151638402 \tabularnewline
0.53 & 221.547341372793 & 0.180746740937383 \tabularnewline
0.54 & 221.576900154897 & 0.16686942740603 \tabularnewline
0.55 & 221.604615643151 & 0.155692356392377 \tabularnewline
0.56 & 221.631022104565 & 0.147714049895261 \tabularnewline
0.57 & 221.656775031009 & 0.143623808387143 \tabularnewline
0.58 & 221.682680392668 & 0.144546971128585 \tabularnewline
0.59 & 221.709738257125 & 0.15142358055091 \tabularnewline
0.6 & 221.739199416205 & 0.166008600803396 \tabularnewline
0.61 & 221.772630011426 & 0.190359553975506 \tabularnewline
0.62 & 221.811974836082 & 0.226740112166267 \tabularnewline
0.63 & 221.859605470592 & 0.277716595129272 \tabularnewline
0.64 & 221.918335466818 & 0.345654849063679 \tabularnewline
0.65 & 221.99138257367 & 0.43220832594246 \tabularnewline
0.66 & 222.082258861407 & 0.538928557511299 \tabularnewline
0.67 & 222.194574882864 & 0.665429906861113 \tabularnewline
0.68 & 222.331754554425 & 0.809496520037602 \tabularnewline
0.69 & 222.496673094713 & 0.967175975824377 \tabularnewline
0.7 & 222.691249508208 & 1.13200748959751 \tabularnewline
0.71 & 222.916044461949 & 1.29495431591432 \tabularnewline
0.72 & 223.169929290088 & 1.44606361937396 \tabularnewline
0.73 & 223.449897030872 & 1.57418607022072 \tabularnewline
0.74 & 223.751077439547 & 1.66952281840525 \tabularnewline
0.75 & 224.066992887621 & 1.72341603553057 \tabularnewline
0.76 & 224.390052899813 & 1.73124099751926 \tabularnewline
0.77 & 224.712238219127 & 1.69242428382076 \tabularnewline
0.78 & 225.025880911746 & 1.61100848943193 \tabularnewline
0.79 & 225.324416887816 & 1.49525805992573 \tabularnewline
0.8 & 225.602981377947 & 1.35649193095082 \tabularnewline
0.81 & 225.858741235129 & 1.20732032868388 \tabularnewline
0.82 & 226.090907649309 & 1.05996996479936 \tabularnewline
0.83 & 226.30043826089 & 0.924649918972185 \tabularnewline
0.84 & 226.489502546585 & 0.807438500954822 \tabularnewline
0.85 & 226.660831745624 & 0.710347918483223 \tabularnewline
0.86 & 226.817092162777 & 0.631208389452454 \tabularnewline
0.87 & 226.960404790616 & 0.564916601328914 \tabularnewline
0.88 & 227.092090779353 & 0.506229135126694 \tabularnewline
0.89 & 227.212664154264 & 0.45018095791261 \tabularnewline
0.9 & 227.322035054124 & 0.394136741640792 \tabularnewline
0.91 & 227.419840636763 & 0.337390745861275 \tabularnewline
0.92 & 227.505793929313 & 0.281052402542098 \tabularnewline
0.93 & 227.579937106925 & 0.227209233195014 \tabularnewline
0.94 & 227.642708851545 & 0.178432454194019 \tabularnewline
0.95 & 227.694792628672 & 0.136248930554283 \tabularnewline
0.96 & 227.736811303338 & 0.100635594558346 \tabularnewline
0.97 & 227.769062512398 & 0.0698712111560237 \tabularnewline
0.98 & 227.791580522774 & 0.0417946754595539 \tabularnewline
0.99 & 227.804715142237 & 0.0168736033300258 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167203&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]217.059726095208[/C][C]0.203753509878587[/C][/ROW]
[ROW][C]0.02[/C][C]217.16030857084[/C][C]0.243002262529842[/C][/ROW]
[ROW][C]0.03[/C][C]217.281570169404[/C][C]0.269636804289219[/C][/ROW]
[ROW][C]0.04[/C][C]217.406914296417[/C][C]0.27837354671175[/C][/ROW]
[ROW][C]0.05[/C][C]217.528296306201[/C][C]0.284091615295289[/C][/ROW]
[ROW][C]0.06[/C][C]217.64522399508[/C][C]0.305410280727283[/C][/ROW]
[ROW][C]0.07[/C][C]217.761839533943[/C][C]0.352406844236173[/C][/ROW]
[ROW][C]0.08[/C][C]217.883935234152[/C][C]0.422989785939709[/C][/ROW]
[ROW][C]0.09[/C][C]218.016581105799[/C][C]0.507599789651313[/C][/ROW]
[ROW][C]0.1[/C][C]218.162597229804[/C][C]0.593503610381217[/C][/ROW]
[ROW][C]0.11[/C][C]218.321897589571[/C][C]0.667900353514674[/C][/ROW]
[ROW][C]0.12[/C][C]218.491604872191[/C][C]0.719485135915278[/C][/ROW]
[ROW][C]0.13[/C][C]218.66675014078[/C][C]0.741780560145933[/C][/ROW]
[ROW][C]0.14[/C][C]218.841312788438[/C][C]0.733063034261512[/C][/ROW]
[ROW][C]0.15[/C][C]219.009331650179[/C][C]0.696716119571038[/C][/ROW]
[ROW][C]0.16[/C][C]219.165844097945[/C][C]0.639855909755583[/C][/ROW]
[ROW][C]0.17[/C][C]219.307488278859[/C][C]0.571168196717588[/C][/ROW]
[ROW][C]0.18[/C][C]219.432712080106[/C][C]0.499749402481407[/C][/ROW]
[ROW][C]0.19[/C][C]219.541635473708[/C][C]0.432754176378418[/C][/ROW]
[ROW][C]0.2[/C][C]219.635680705256[/C][C]0.375695891432856[/C][/ROW]
[ROW][C]0.21[/C][C]219.717105328642[/C][C]0.331126279465268[/C][/ROW]
[ROW][C]0.22[/C][C]219.788553104749[/C][C]0.300055862802895[/C][/ROW]
[ROW][C]0.23[/C][C]219.852695232685[/C][C]0.281381356346169[/C][/ROW]
[ROW][C]0.24[/C][C]219.911988658947[/C][C]0.273330392639492[/C][/ROW]
[ROW][C]0.25[/C][C]219.968543083789[/C][C]0.274256104579239[/C][/ROW]
[ROW][C]0.26[/C][C]220.024069393685[/C][C]0.281870824924346[/C][/ROW]
[ROW][C]0.27[/C][C]220.079878339434[/C][C]0.294337475477865[/C][/ROW]
[ROW][C]0.28[/C][C]220.136904244026[/C][C]0.309693395529183[/C][/ROW]
[ROW][C]0.29[/C][C]220.195738453687[/C][C]0.326778838335292[/C][/ROW]
[ROW][C]0.3[/C][C]220.256666475759[/C][C]0.34379746484201[/C][/ROW]
[ROW][C]0.31[/C][C]220.319708696999[/C][C]0.359377724498639[/C][/ROW]
[ROW][C]0.32[/C][C]220.384666650824[/C][C]0.372734176839608[/C][/ROW]
[ROW][C]0.33[/C][C]220.451175800768[/C][C]0.382557607207331[/C][/ROW]
[ROW][C]0.34[/C][C]220.518763200295[/C][C]0.389127421887303[/C][/ROW]
[ROW][C]0.35[/C][C]220.586905697171[/C][C]0.392065034923187[/C][/ROW]
[ROW][C]0.36[/C][C]220.655082724751[/C][C]0.391561781029878[/C][/ROW]
[ROW][C]0.37[/C][C]220.72281773856[/C][C]0.388830910483935[/C][/ROW]
[ROW][C]0.38[/C][C]220.789703997031[/C][C]0.383564080775556[/C][/ROW]
[ROW][C]0.39[/C][C]220.855413161093[/C][C]0.377272372357513[/C][/ROW]
[ROW][C]0.4[/C][C]220.919688341703[/C][C]0.369484527489132[/C][/ROW]
[ROW][C]0.41[/C][C]220.982325962733[/C][C]0.36112149994901[/C][/ROW]
[ROW][C]0.42[/C][C]221.043152500235[/C][C]0.352014198063932[/C][/ROW]
[ROW][C]0.43[/C][C]221.10200248149[/C][C]0.342009085683621[/C][/ROW]
[ROW][C]0.44[/C][C]221.158703103382[/C][C]0.33071191637642[/C][/ROW]
[ROW][C]0.45[/C][C]221.213068795109[/C][C]0.317652884499288[/C][/ROW]
[ROW][C]0.46[/C][C]221.264906542259[/C][C]0.303294425332318[/C][/ROW]
[ROW][C]0.47[/C][C]221.314030401893[/C][C]0.287371057466434[/C][/ROW]
[ROW][C]0.48[/C][C]221.36028187988[/C][C]0.269916078959686[/C][/ROW]
[ROW][C]0.49[/C][C]221.403552030817[/C][C]0.25147517507756[/C][/ROW]
[ROW][C]0.5[/C][C]221.443801358155[/C][C]0.232786888903958[/C][/ROW]
[ROW][C]0.51[/C][C]221.481074695366[/C][C]0.214439967113031[/C][/ROW]
[ROW][C]0.52[/C][C]221.515509935662[/C][C]0.196758151638402[/C][/ROW]
[ROW][C]0.53[/C][C]221.547341372793[/C][C]0.180746740937383[/C][/ROW]
[ROW][C]0.54[/C][C]221.576900154897[/C][C]0.16686942740603[/C][/ROW]
[ROW][C]0.55[/C][C]221.604615643151[/C][C]0.155692356392377[/C][/ROW]
[ROW][C]0.56[/C][C]221.631022104565[/C][C]0.147714049895261[/C][/ROW]
[ROW][C]0.57[/C][C]221.656775031009[/C][C]0.143623808387143[/C][/ROW]
[ROW][C]0.58[/C][C]221.682680392668[/C][C]0.144546971128585[/C][/ROW]
[ROW][C]0.59[/C][C]221.709738257125[/C][C]0.15142358055091[/C][/ROW]
[ROW][C]0.6[/C][C]221.739199416205[/C][C]0.166008600803396[/C][/ROW]
[ROW][C]0.61[/C][C]221.772630011426[/C][C]0.190359553975506[/C][/ROW]
[ROW][C]0.62[/C][C]221.811974836082[/C][C]0.226740112166267[/C][/ROW]
[ROW][C]0.63[/C][C]221.859605470592[/C][C]0.277716595129272[/C][/ROW]
[ROW][C]0.64[/C][C]221.918335466818[/C][C]0.345654849063679[/C][/ROW]
[ROW][C]0.65[/C][C]221.99138257367[/C][C]0.43220832594246[/C][/ROW]
[ROW][C]0.66[/C][C]222.082258861407[/C][C]0.538928557511299[/C][/ROW]
[ROW][C]0.67[/C][C]222.194574882864[/C][C]0.665429906861113[/C][/ROW]
[ROW][C]0.68[/C][C]222.331754554425[/C][C]0.809496520037602[/C][/ROW]
[ROW][C]0.69[/C][C]222.496673094713[/C][C]0.967175975824377[/C][/ROW]
[ROW][C]0.7[/C][C]222.691249508208[/C][C]1.13200748959751[/C][/ROW]
[ROW][C]0.71[/C][C]222.916044461949[/C][C]1.29495431591432[/C][/ROW]
[ROW][C]0.72[/C][C]223.169929290088[/C][C]1.44606361937396[/C][/ROW]
[ROW][C]0.73[/C][C]223.449897030872[/C][C]1.57418607022072[/C][/ROW]
[ROW][C]0.74[/C][C]223.751077439547[/C][C]1.66952281840525[/C][/ROW]
[ROW][C]0.75[/C][C]224.066992887621[/C][C]1.72341603553057[/C][/ROW]
[ROW][C]0.76[/C][C]224.390052899813[/C][C]1.73124099751926[/C][/ROW]
[ROW][C]0.77[/C][C]224.712238219127[/C][C]1.69242428382076[/C][/ROW]
[ROW][C]0.78[/C][C]225.025880911746[/C][C]1.61100848943193[/C][/ROW]
[ROW][C]0.79[/C][C]225.324416887816[/C][C]1.49525805992573[/C][/ROW]
[ROW][C]0.8[/C][C]225.602981377947[/C][C]1.35649193095082[/C][/ROW]
[ROW][C]0.81[/C][C]225.858741235129[/C][C]1.20732032868388[/C][/ROW]
[ROW][C]0.82[/C][C]226.090907649309[/C][C]1.05996996479936[/C][/ROW]
[ROW][C]0.83[/C][C]226.30043826089[/C][C]0.924649918972185[/C][/ROW]
[ROW][C]0.84[/C][C]226.489502546585[/C][C]0.807438500954822[/C][/ROW]
[ROW][C]0.85[/C][C]226.660831745624[/C][C]0.710347918483223[/C][/ROW]
[ROW][C]0.86[/C][C]226.817092162777[/C][C]0.631208389452454[/C][/ROW]
[ROW][C]0.87[/C][C]226.960404790616[/C][C]0.564916601328914[/C][/ROW]
[ROW][C]0.88[/C][C]227.092090779353[/C][C]0.506229135126694[/C][/ROW]
[ROW][C]0.89[/C][C]227.212664154264[/C][C]0.45018095791261[/C][/ROW]
[ROW][C]0.9[/C][C]227.322035054124[/C][C]0.394136741640792[/C][/ROW]
[ROW][C]0.91[/C][C]227.419840636763[/C][C]0.337390745861275[/C][/ROW]
[ROW][C]0.92[/C][C]227.505793929313[/C][C]0.281052402542098[/C][/ROW]
[ROW][C]0.93[/C][C]227.579937106925[/C][C]0.227209233195014[/C][/ROW]
[ROW][C]0.94[/C][C]227.642708851545[/C][C]0.178432454194019[/C][/ROW]
[ROW][C]0.95[/C][C]227.694792628672[/C][C]0.136248930554283[/C][/ROW]
[ROW][C]0.96[/C][C]227.736811303338[/C][C]0.100635594558346[/C][/ROW]
[ROW][C]0.97[/C][C]227.769062512398[/C][C]0.0698712111560237[/C][/ROW]
[ROW][C]0.98[/C][C]227.791580522774[/C][C]0.0417946754595539[/C][/ROW]
[ROW][C]0.99[/C][C]227.804715142237[/C][C]0.0168736033300258[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167203&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167203&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
0.01217.0597260952080.203753509878587
0.02217.160308570840.243002262529842
0.03217.2815701694040.269636804289219
0.04217.4069142964170.27837354671175
0.05217.5282963062010.284091615295289
0.06217.645223995080.305410280727283
0.07217.7618395339430.352406844236173
0.08217.8839352341520.422989785939709
0.09218.0165811057990.507599789651313
0.1218.1625972298040.593503610381217
0.11218.3218975895710.667900353514674
0.12218.4916048721910.719485135915278
0.13218.666750140780.741780560145933
0.14218.8413127884380.733063034261512
0.15219.0093316501790.696716119571038
0.16219.1658440979450.639855909755583
0.17219.3074882788590.571168196717588
0.18219.4327120801060.499749402481407
0.19219.5416354737080.432754176378418
0.2219.6356807052560.375695891432856
0.21219.7171053286420.331126279465268
0.22219.7885531047490.300055862802895
0.23219.8526952326850.281381356346169
0.24219.9119886589470.273330392639492
0.25219.9685430837890.274256104579239
0.26220.0240693936850.281870824924346
0.27220.0798783394340.294337475477865
0.28220.1369042440260.309693395529183
0.29220.1957384536870.326778838335292
0.3220.2566664757590.34379746484201
0.31220.3197086969990.359377724498639
0.32220.3846666508240.372734176839608
0.33220.4511758007680.382557607207331
0.34220.5187632002950.389127421887303
0.35220.5869056971710.392065034923187
0.36220.6550827247510.391561781029878
0.37220.722817738560.388830910483935
0.38220.7897039970310.383564080775556
0.39220.8554131610930.377272372357513
0.4220.9196883417030.369484527489132
0.41220.9823259627330.36112149994901
0.42221.0431525002350.352014198063932
0.43221.102002481490.342009085683621
0.44221.1587031033820.33071191637642
0.45221.2130687951090.317652884499288
0.46221.2649065422590.303294425332318
0.47221.3140304018930.287371057466434
0.48221.360281879880.269916078959686
0.49221.4035520308170.25147517507756
0.5221.4438013581550.232786888903958
0.51221.4810746953660.214439967113031
0.52221.5155099356620.196758151638402
0.53221.5473413727930.180746740937383
0.54221.5769001548970.16686942740603
0.55221.6046156431510.155692356392377
0.56221.6310221045650.147714049895261
0.57221.6567750310090.143623808387143
0.58221.6826803926680.144546971128585
0.59221.7097382571250.15142358055091
0.6221.7391994162050.166008600803396
0.61221.7726300114260.190359553975506
0.62221.8119748360820.226740112166267
0.63221.8596054705920.277716595129272
0.64221.9183354668180.345654849063679
0.65221.991382573670.43220832594246
0.66222.0822588614070.538928557511299
0.67222.1945748828640.665429906861113
0.68222.3317545544250.809496520037602
0.69222.4966730947130.967175975824377
0.7222.6912495082081.13200748959751
0.71222.9160444619491.29495431591432
0.72223.1699292900881.44606361937396
0.73223.4498970308721.57418607022072
0.74223.7510774395471.66952281840525
0.75224.0669928876211.72341603553057
0.76224.3900528998131.73124099751926
0.77224.7122382191271.69242428382076
0.78225.0258809117461.61100848943193
0.79225.3244168878161.49525805992573
0.8225.6029813779471.35649193095082
0.81225.8587412351291.20732032868388
0.82226.0909076493091.05996996479936
0.83226.300438260890.924649918972185
0.84226.4895025465850.807438500954822
0.85226.6608317456240.710347918483223
0.86226.8170921627770.631208389452454
0.87226.9604047906160.564916601328914
0.88227.0920907793530.506229135126694
0.89227.2126641542640.45018095791261
0.9227.3220350541240.394136741640792
0.91227.4198406367630.337390745861275
0.92227.5057939293130.281052402542098
0.93227.5799371069250.227209233195014
0.94227.6427088515450.178432454194019
0.95227.6947926286720.136248930554283
0.96227.7368113033380.100635594558346
0.97227.7690625123980.0698712111560237
0.98227.7915805227740.0417946754595539
0.99227.8047151422370.0168736033300258


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 18 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')