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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, 02 Oct 2013 15:04:34 -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/02/t1380740707igtq7qorpgojtrw.htm/, Retrieved Sat, 27 Apr 2024 23:30:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212741, Retrieved Sat, 27 Apr 2024 23:30:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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] [] [2013-10-02 19:04:34] [1b8ce37c5679a09a5286ac5230bb7f24] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96.86
96.77
96.5
96.01
96.07
95.93
95.93
95.83
96.24
96.25
96.59
96.62
96.62
96.81
96.71
96.45
96.63
96.56
96.56
96.65
97.04
97.14
97.2
97.26
97.26
97.24
97.35
97.36
97.28
97.31
97.31
97.31
97.23
97.78
97.64
97.68
97.68
97.81
97.75
97.63
97.6
97.65
97.65
97.65
97.86
98.41
98.79
98.75
98.74
98.55
98.65
98.86
98.94
99.05
99.05
99.05
99.17
98.99
98.91
98.89
98.89
98.72
98.89
98.97
99.16
99.54
99.54
99.55
100.01
99.52
99.44
99.39
99.39
99.4
100.43
100.62
101.05
100.95
100.95
100.91
101.13
100.81
100.47
100.56

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212741&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212741&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212741&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.86430189835540.0780512286327136
0.0295.91363448587240.071169077487066
0.0395.96627366732530.0941745450888332
0.0496.02352565401380.127930648913783
0.0596.08784428945190.15750543131854
0.0696.15794340473980.177074684005215
0.0796.23011692031470.18484731866248
0.0896.30031504539690.181670837587848
0.0996.36528178914520.169593680219503
0.196.42298037440220.151955982518597
0.1196.4726659052060.132496685350788
0.1296.51475599748150.1148167196552
0.1396.55056281864730.102093285524394
0.1496.58195245601480.096252542760413
0.1596.61100430996790.0978728291170629
0.1696.63972448166390.106670764176586
0.1796.66983478534010.121005159473023
0.1896.70263359749870.138962788685536
0.1996.73891562639730.158561330499502
0.296.77894116817790.177573615713353
0.2196.82245242732940.194203716118477
0.2296.86873785110430.20646140376685
0.2396.91674272594440.213173294518307
0.2496.96521703876530.213734997475747
0.2597.01288328422880.208580896985269
0.2697.05860106159660.198294997689434
0.2797.10150434424460.184776649426433
0.2897.1410917981380.169560603711823
0.2997.17725923521310.154645015808846
0.397.21027378295980.141892828745983
0.3197.2406989913760.13279731992215
0.3297.26928694158970.128008779922113
0.3397.29685668211050.127492766758067
0.3497.32417825916710.13076102083603
0.3597.35187904154520.136564455305741
0.3697.38038480984740.143569453718326
0.3797.40990277266050.150672155616768
0.3897.44044766120370.156597871471342
0.3997.47190573483120.161261469880915
0.497.50412553203110.164497900931831
0.4197.53701941373780.167217172744056
0.4297.57065732280450.170534909231957
0.4397.60533444370580.176116110886329
0.4497.64159781429730.18560828215922
0.4597.68022304931440.200486553224326
0.4697.72214030180550.221190375974712
0.4797.76831720290610.247530263949119
0.4897.81961444033690.278048226445773
0.4997.8766355497390.311162213711256
0.597.93959525634490.343911240174604
0.5198.00822950762350.373582957796357
0.5298.08176492532360.397441680332885
0.5398.15895630391960.413137024844545
0.5498.23818941001680.419189938688419
0.5598.31763486652970.414873857771349
0.5698.39542982151570.400513714880877
0.5798.46985953907420.37745770843054
0.5898.53951212543450.347873267317226
0.5998.60338600872050.314133105537616
0.698.66093983412980.278690719586566
0.6198.71208554843610.243921422156502
0.6298.75713497347230.211927586033515
0.6398.79671614268330.183862067088925
0.6498.83167730324520.160801016572667
0.6598.86299418422950.143088558401553
0.6698.89169117854410.130807994005372
0.6798.91878109920690.12373271277065
0.6898.94522263505310.121285525578203
0.6998.97189065219950.122960443375904
0.798.99955275528170.128059395362533
0.7199.02884636874330.135766490313664
0.7299.06025399439030.145318908236904
0.7399.09407972966520.155682308607388
0.7499.13043641195350.1658119882866
0.7599.16925799718970.174841809280426
0.7699.21035360333940.181957577272412
0.7799.25351567179420.187119326715764
0.7899.29868321584370.190872008481162
0.7999.34614187692410.19488279083652
0.899.3967176617160.201896715224741
0.8199.45189663985750.215143526164832
0.8299.51378915320650.237669135380611
0.8399.584868809540.270399515266052
0.8499.66746713591150.311659477863381
0.8599.76309580601790.356241670603286
0.8699.87177671621340.396761061391013
0.8799.99163338480280.425178093718787
0.88100.1189697945730.435001246842063
0.89100.248898667520.423702293987661
0.9100.3763234923370.39352092841607
0.91100.4968674829650.35051827390751
0.92100.6073567065060.301659418723284
0.93100.7057849327610.251750157592611
0.94100.7911547514650.202623417631585
0.95100.8637887830330.155814178887015
0.96100.9262047065470.116168579516844
0.97100.9834308407110.0915578908171452
0.98101.0404019454680.0828822896025993
0.99101.0946700067940.0800499421616219

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.8643018983554 & 0.0780512286327136 \tabularnewline
0.02 & 95.9136344858724 & 0.071169077487066 \tabularnewline
0.03 & 95.9662736673253 & 0.0941745450888332 \tabularnewline
0.04 & 96.0235256540138 & 0.127930648913783 \tabularnewline
0.05 & 96.0878442894519 & 0.15750543131854 \tabularnewline
0.06 & 96.1579434047398 & 0.177074684005215 \tabularnewline
0.07 & 96.2301169203147 & 0.18484731866248 \tabularnewline
0.08 & 96.3003150453969 & 0.181670837587848 \tabularnewline
0.09 & 96.3652817891452 & 0.169593680219503 \tabularnewline
0.1 & 96.4229803744022 & 0.151955982518597 \tabularnewline
0.11 & 96.472665905206 & 0.132496685350788 \tabularnewline
0.12 & 96.5147559974815 & 0.1148167196552 \tabularnewline
0.13 & 96.5505628186473 & 0.102093285524394 \tabularnewline
0.14 & 96.5819524560148 & 0.096252542760413 \tabularnewline
0.15 & 96.6110043099679 & 0.0978728291170629 \tabularnewline
0.16 & 96.6397244816639 & 0.106670764176586 \tabularnewline
0.17 & 96.6698347853401 & 0.121005159473023 \tabularnewline
0.18 & 96.7026335974987 & 0.138962788685536 \tabularnewline
0.19 & 96.7389156263973 & 0.158561330499502 \tabularnewline
0.2 & 96.7789411681779 & 0.177573615713353 \tabularnewline
0.21 & 96.8224524273294 & 0.194203716118477 \tabularnewline
0.22 & 96.8687378511043 & 0.20646140376685 \tabularnewline
0.23 & 96.9167427259444 & 0.213173294518307 \tabularnewline
0.24 & 96.9652170387653 & 0.213734997475747 \tabularnewline
0.25 & 97.0128832842288 & 0.208580896985269 \tabularnewline
0.26 & 97.0586010615966 & 0.198294997689434 \tabularnewline
0.27 & 97.1015043442446 & 0.184776649426433 \tabularnewline
0.28 & 97.141091798138 & 0.169560603711823 \tabularnewline
0.29 & 97.1772592352131 & 0.154645015808846 \tabularnewline
0.3 & 97.2102737829598 & 0.141892828745983 \tabularnewline
0.31 & 97.240698991376 & 0.13279731992215 \tabularnewline
0.32 & 97.2692869415897 & 0.128008779922113 \tabularnewline
0.33 & 97.2968566821105 & 0.127492766758067 \tabularnewline
0.34 & 97.3241782591671 & 0.13076102083603 \tabularnewline
0.35 & 97.3518790415452 & 0.136564455305741 \tabularnewline
0.36 & 97.3803848098474 & 0.143569453718326 \tabularnewline
0.37 & 97.4099027726605 & 0.150672155616768 \tabularnewline
0.38 & 97.4404476612037 & 0.156597871471342 \tabularnewline
0.39 & 97.4719057348312 & 0.161261469880915 \tabularnewline
0.4 & 97.5041255320311 & 0.164497900931831 \tabularnewline
0.41 & 97.5370194137378 & 0.167217172744056 \tabularnewline
0.42 & 97.5706573228045 & 0.170534909231957 \tabularnewline
0.43 & 97.6053344437058 & 0.176116110886329 \tabularnewline
0.44 & 97.6415978142973 & 0.18560828215922 \tabularnewline
0.45 & 97.6802230493144 & 0.200486553224326 \tabularnewline
0.46 & 97.7221403018055 & 0.221190375974712 \tabularnewline
0.47 & 97.7683172029061 & 0.247530263949119 \tabularnewline
0.48 & 97.8196144403369 & 0.278048226445773 \tabularnewline
0.49 & 97.876635549739 & 0.311162213711256 \tabularnewline
0.5 & 97.9395952563449 & 0.343911240174604 \tabularnewline
0.51 & 98.0082295076235 & 0.373582957796357 \tabularnewline
0.52 & 98.0817649253236 & 0.397441680332885 \tabularnewline
0.53 & 98.1589563039196 & 0.413137024844545 \tabularnewline
0.54 & 98.2381894100168 & 0.419189938688419 \tabularnewline
0.55 & 98.3176348665297 & 0.414873857771349 \tabularnewline
0.56 & 98.3954298215157 & 0.400513714880877 \tabularnewline
0.57 & 98.4698595390742 & 0.37745770843054 \tabularnewline
0.58 & 98.5395121254345 & 0.347873267317226 \tabularnewline
0.59 & 98.6033860087205 & 0.314133105537616 \tabularnewline
0.6 & 98.6609398341298 & 0.278690719586566 \tabularnewline
0.61 & 98.7120855484361 & 0.243921422156502 \tabularnewline
0.62 & 98.7571349734723 & 0.211927586033515 \tabularnewline
0.63 & 98.7967161426833 & 0.183862067088925 \tabularnewline
0.64 & 98.8316773032452 & 0.160801016572667 \tabularnewline
0.65 & 98.8629941842295 & 0.143088558401553 \tabularnewline
0.66 & 98.8916911785441 & 0.130807994005372 \tabularnewline
0.67 & 98.9187810992069 & 0.12373271277065 \tabularnewline
0.68 & 98.9452226350531 & 0.121285525578203 \tabularnewline
0.69 & 98.9718906521995 & 0.122960443375904 \tabularnewline
0.7 & 98.9995527552817 & 0.128059395362533 \tabularnewline
0.71 & 99.0288463687433 & 0.135766490313664 \tabularnewline
0.72 & 99.0602539943903 & 0.145318908236904 \tabularnewline
0.73 & 99.0940797296652 & 0.155682308607388 \tabularnewline
0.74 & 99.1304364119535 & 0.1658119882866 \tabularnewline
0.75 & 99.1692579971897 & 0.174841809280426 \tabularnewline
0.76 & 99.2103536033394 & 0.181957577272412 \tabularnewline
0.77 & 99.2535156717942 & 0.187119326715764 \tabularnewline
0.78 & 99.2986832158437 & 0.190872008481162 \tabularnewline
0.79 & 99.3461418769241 & 0.19488279083652 \tabularnewline
0.8 & 99.396717661716 & 0.201896715224741 \tabularnewline
0.81 & 99.4518966398575 & 0.215143526164832 \tabularnewline
0.82 & 99.5137891532065 & 0.237669135380611 \tabularnewline
0.83 & 99.58486880954 & 0.270399515266052 \tabularnewline
0.84 & 99.6674671359115 & 0.311659477863381 \tabularnewline
0.85 & 99.7630958060179 & 0.356241670603286 \tabularnewline
0.86 & 99.8717767162134 & 0.396761061391013 \tabularnewline
0.87 & 99.9916333848028 & 0.425178093718787 \tabularnewline
0.88 & 100.118969794573 & 0.435001246842063 \tabularnewline
0.89 & 100.24889866752 & 0.423702293987661 \tabularnewline
0.9 & 100.376323492337 & 0.39352092841607 \tabularnewline
0.91 & 100.496867482965 & 0.35051827390751 \tabularnewline
0.92 & 100.607356706506 & 0.301659418723284 \tabularnewline
0.93 & 100.705784932761 & 0.251750157592611 \tabularnewline
0.94 & 100.791154751465 & 0.202623417631585 \tabularnewline
0.95 & 100.863788783033 & 0.155814178887015 \tabularnewline
0.96 & 100.926204706547 & 0.116168579516844 \tabularnewline
0.97 & 100.983430840711 & 0.0915578908171452 \tabularnewline
0.98 & 101.040401945468 & 0.0828822896025993 \tabularnewline
0.99 & 101.094670006794 & 0.0800499421616219 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212741&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]95.8643018983554[/C][C]0.0780512286327136[/C][/ROW]
[ROW][C]0.02[/C][C]95.9136344858724[/C][C]0.071169077487066[/C][/ROW]
[ROW][C]0.03[/C][C]95.9662736673253[/C][C]0.0941745450888332[/C][/ROW]
[ROW][C]0.04[/C][C]96.0235256540138[/C][C]0.127930648913783[/C][/ROW]
[ROW][C]0.05[/C][C]96.0878442894519[/C][C]0.15750543131854[/C][/ROW]
[ROW][C]0.06[/C][C]96.1579434047398[/C][C]0.177074684005215[/C][/ROW]
[ROW][C]0.07[/C][C]96.2301169203147[/C][C]0.18484731866248[/C][/ROW]
[ROW][C]0.08[/C][C]96.3003150453969[/C][C]0.181670837587848[/C][/ROW]
[ROW][C]0.09[/C][C]96.3652817891452[/C][C]0.169593680219503[/C][/ROW]
[ROW][C]0.1[/C][C]96.4229803744022[/C][C]0.151955982518597[/C][/ROW]
[ROW][C]0.11[/C][C]96.472665905206[/C][C]0.132496685350788[/C][/ROW]
[ROW][C]0.12[/C][C]96.5147559974815[/C][C]0.1148167196552[/C][/ROW]
[ROW][C]0.13[/C][C]96.5505628186473[/C][C]0.102093285524394[/C][/ROW]
[ROW][C]0.14[/C][C]96.5819524560148[/C][C]0.096252542760413[/C][/ROW]
[ROW][C]0.15[/C][C]96.6110043099679[/C][C]0.0978728291170629[/C][/ROW]
[ROW][C]0.16[/C][C]96.6397244816639[/C][C]0.106670764176586[/C][/ROW]
[ROW][C]0.17[/C][C]96.6698347853401[/C][C]0.121005159473023[/C][/ROW]
[ROW][C]0.18[/C][C]96.7026335974987[/C][C]0.138962788685536[/C][/ROW]
[ROW][C]0.19[/C][C]96.7389156263973[/C][C]0.158561330499502[/C][/ROW]
[ROW][C]0.2[/C][C]96.7789411681779[/C][C]0.177573615713353[/C][/ROW]
[ROW][C]0.21[/C][C]96.8224524273294[/C][C]0.194203716118477[/C][/ROW]
[ROW][C]0.22[/C][C]96.8687378511043[/C][C]0.20646140376685[/C][/ROW]
[ROW][C]0.23[/C][C]96.9167427259444[/C][C]0.213173294518307[/C][/ROW]
[ROW][C]0.24[/C][C]96.9652170387653[/C][C]0.213734997475747[/C][/ROW]
[ROW][C]0.25[/C][C]97.0128832842288[/C][C]0.208580896985269[/C][/ROW]
[ROW][C]0.26[/C][C]97.0586010615966[/C][C]0.198294997689434[/C][/ROW]
[ROW][C]0.27[/C][C]97.1015043442446[/C][C]0.184776649426433[/C][/ROW]
[ROW][C]0.28[/C][C]97.141091798138[/C][C]0.169560603711823[/C][/ROW]
[ROW][C]0.29[/C][C]97.1772592352131[/C][C]0.154645015808846[/C][/ROW]
[ROW][C]0.3[/C][C]97.2102737829598[/C][C]0.141892828745983[/C][/ROW]
[ROW][C]0.31[/C][C]97.240698991376[/C][C]0.13279731992215[/C][/ROW]
[ROW][C]0.32[/C][C]97.2692869415897[/C][C]0.128008779922113[/C][/ROW]
[ROW][C]0.33[/C][C]97.2968566821105[/C][C]0.127492766758067[/C][/ROW]
[ROW][C]0.34[/C][C]97.3241782591671[/C][C]0.13076102083603[/C][/ROW]
[ROW][C]0.35[/C][C]97.3518790415452[/C][C]0.136564455305741[/C][/ROW]
[ROW][C]0.36[/C][C]97.3803848098474[/C][C]0.143569453718326[/C][/ROW]
[ROW][C]0.37[/C][C]97.4099027726605[/C][C]0.150672155616768[/C][/ROW]
[ROW][C]0.38[/C][C]97.4404476612037[/C][C]0.156597871471342[/C][/ROW]
[ROW][C]0.39[/C][C]97.4719057348312[/C][C]0.161261469880915[/C][/ROW]
[ROW][C]0.4[/C][C]97.5041255320311[/C][C]0.164497900931831[/C][/ROW]
[ROW][C]0.41[/C][C]97.5370194137378[/C][C]0.167217172744056[/C][/ROW]
[ROW][C]0.42[/C][C]97.5706573228045[/C][C]0.170534909231957[/C][/ROW]
[ROW][C]0.43[/C][C]97.6053344437058[/C][C]0.176116110886329[/C][/ROW]
[ROW][C]0.44[/C][C]97.6415978142973[/C][C]0.18560828215922[/C][/ROW]
[ROW][C]0.45[/C][C]97.6802230493144[/C][C]0.200486553224326[/C][/ROW]
[ROW][C]0.46[/C][C]97.7221403018055[/C][C]0.221190375974712[/C][/ROW]
[ROW][C]0.47[/C][C]97.7683172029061[/C][C]0.247530263949119[/C][/ROW]
[ROW][C]0.48[/C][C]97.8196144403369[/C][C]0.278048226445773[/C][/ROW]
[ROW][C]0.49[/C][C]97.876635549739[/C][C]0.311162213711256[/C][/ROW]
[ROW][C]0.5[/C][C]97.9395952563449[/C][C]0.343911240174604[/C][/ROW]
[ROW][C]0.51[/C][C]98.0082295076235[/C][C]0.373582957796357[/C][/ROW]
[ROW][C]0.52[/C][C]98.0817649253236[/C][C]0.397441680332885[/C][/ROW]
[ROW][C]0.53[/C][C]98.1589563039196[/C][C]0.413137024844545[/C][/ROW]
[ROW][C]0.54[/C][C]98.2381894100168[/C][C]0.419189938688419[/C][/ROW]
[ROW][C]0.55[/C][C]98.3176348665297[/C][C]0.414873857771349[/C][/ROW]
[ROW][C]0.56[/C][C]98.3954298215157[/C][C]0.400513714880877[/C][/ROW]
[ROW][C]0.57[/C][C]98.4698595390742[/C][C]0.37745770843054[/C][/ROW]
[ROW][C]0.58[/C][C]98.5395121254345[/C][C]0.347873267317226[/C][/ROW]
[ROW][C]0.59[/C][C]98.6033860087205[/C][C]0.314133105537616[/C][/ROW]
[ROW][C]0.6[/C][C]98.6609398341298[/C][C]0.278690719586566[/C][/ROW]
[ROW][C]0.61[/C][C]98.7120855484361[/C][C]0.243921422156502[/C][/ROW]
[ROW][C]0.62[/C][C]98.7571349734723[/C][C]0.211927586033515[/C][/ROW]
[ROW][C]0.63[/C][C]98.7967161426833[/C][C]0.183862067088925[/C][/ROW]
[ROW][C]0.64[/C][C]98.8316773032452[/C][C]0.160801016572667[/C][/ROW]
[ROW][C]0.65[/C][C]98.8629941842295[/C][C]0.143088558401553[/C][/ROW]
[ROW][C]0.66[/C][C]98.8916911785441[/C][C]0.130807994005372[/C][/ROW]
[ROW][C]0.67[/C][C]98.9187810992069[/C][C]0.12373271277065[/C][/ROW]
[ROW][C]0.68[/C][C]98.9452226350531[/C][C]0.121285525578203[/C][/ROW]
[ROW][C]0.69[/C][C]98.9718906521995[/C][C]0.122960443375904[/C][/ROW]
[ROW][C]0.7[/C][C]98.9995527552817[/C][C]0.128059395362533[/C][/ROW]
[ROW][C]0.71[/C][C]99.0288463687433[/C][C]0.135766490313664[/C][/ROW]
[ROW][C]0.72[/C][C]99.0602539943903[/C][C]0.145318908236904[/C][/ROW]
[ROW][C]0.73[/C][C]99.0940797296652[/C][C]0.155682308607388[/C][/ROW]
[ROW][C]0.74[/C][C]99.1304364119535[/C][C]0.1658119882866[/C][/ROW]
[ROW][C]0.75[/C][C]99.1692579971897[/C][C]0.174841809280426[/C][/ROW]
[ROW][C]0.76[/C][C]99.2103536033394[/C][C]0.181957577272412[/C][/ROW]
[ROW][C]0.77[/C][C]99.2535156717942[/C][C]0.187119326715764[/C][/ROW]
[ROW][C]0.78[/C][C]99.2986832158437[/C][C]0.190872008481162[/C][/ROW]
[ROW][C]0.79[/C][C]99.3461418769241[/C][C]0.19488279083652[/C][/ROW]
[ROW][C]0.8[/C][C]99.396717661716[/C][C]0.201896715224741[/C][/ROW]
[ROW][C]0.81[/C][C]99.4518966398575[/C][C]0.215143526164832[/C][/ROW]
[ROW][C]0.82[/C][C]99.5137891532065[/C][C]0.237669135380611[/C][/ROW]
[ROW][C]0.83[/C][C]99.58486880954[/C][C]0.270399515266052[/C][/ROW]
[ROW][C]0.84[/C][C]99.6674671359115[/C][C]0.311659477863381[/C][/ROW]
[ROW][C]0.85[/C][C]99.7630958060179[/C][C]0.356241670603286[/C][/ROW]
[ROW][C]0.86[/C][C]99.8717767162134[/C][C]0.396761061391013[/C][/ROW]
[ROW][C]0.87[/C][C]99.9916333848028[/C][C]0.425178093718787[/C][/ROW]
[ROW][C]0.88[/C][C]100.118969794573[/C][C]0.435001246842063[/C][/ROW]
[ROW][C]0.89[/C][C]100.24889866752[/C][C]0.423702293987661[/C][/ROW]
[ROW][C]0.9[/C][C]100.376323492337[/C][C]0.39352092841607[/C][/ROW]
[ROW][C]0.91[/C][C]100.496867482965[/C][C]0.35051827390751[/C][/ROW]
[ROW][C]0.92[/C][C]100.607356706506[/C][C]0.301659418723284[/C][/ROW]
[ROW][C]0.93[/C][C]100.705784932761[/C][C]0.251750157592611[/C][/ROW]
[ROW][C]0.94[/C][C]100.791154751465[/C][C]0.202623417631585[/C][/ROW]
[ROW][C]0.95[/C][C]100.863788783033[/C][C]0.155814178887015[/C][/ROW]
[ROW][C]0.96[/C][C]100.926204706547[/C][C]0.116168579516844[/C][/ROW]
[ROW][C]0.97[/C][C]100.983430840711[/C][C]0.0915578908171452[/C][/ROW]
[ROW][C]0.98[/C][C]101.040401945468[/C][C]0.0828822896025993[/C][/ROW]
[ROW][C]0.99[/C][C]101.094670006794[/C][C]0.0800499421616219[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212741&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212741&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
0.0195.86430189835540.0780512286327136
0.0295.91363448587240.071169077487066
0.0395.96627366732530.0941745450888332
0.0496.02352565401380.127930648913783
0.0596.08784428945190.15750543131854
0.0696.15794340473980.177074684005215
0.0796.23011692031470.18484731866248
0.0896.30031504539690.181670837587848
0.0996.36528178914520.169593680219503
0.196.42298037440220.151955982518597
0.1196.4726659052060.132496685350788
0.1296.51475599748150.1148167196552
0.1396.55056281864730.102093285524394
0.1496.58195245601480.096252542760413
0.1596.61100430996790.0978728291170629
0.1696.63972448166390.106670764176586
0.1796.66983478534010.121005159473023
0.1896.70263359749870.138962788685536
0.1996.73891562639730.158561330499502
0.296.77894116817790.177573615713353
0.2196.82245242732940.194203716118477
0.2296.86873785110430.20646140376685
0.2396.91674272594440.213173294518307
0.2496.96521703876530.213734997475747
0.2597.01288328422880.208580896985269
0.2697.05860106159660.198294997689434
0.2797.10150434424460.184776649426433
0.2897.1410917981380.169560603711823
0.2997.17725923521310.154645015808846
0.397.21027378295980.141892828745983
0.3197.2406989913760.13279731992215
0.3297.26928694158970.128008779922113
0.3397.29685668211050.127492766758067
0.3497.32417825916710.13076102083603
0.3597.35187904154520.136564455305741
0.3697.38038480984740.143569453718326
0.3797.40990277266050.150672155616768
0.3897.44044766120370.156597871471342
0.3997.47190573483120.161261469880915
0.497.50412553203110.164497900931831
0.4197.53701941373780.167217172744056
0.4297.57065732280450.170534909231957
0.4397.60533444370580.176116110886329
0.4497.64159781429730.18560828215922
0.4597.68022304931440.200486553224326
0.4697.72214030180550.221190375974712
0.4797.76831720290610.247530263949119
0.4897.81961444033690.278048226445773
0.4997.8766355497390.311162213711256
0.597.93959525634490.343911240174604
0.5198.00822950762350.373582957796357
0.5298.08176492532360.397441680332885
0.5398.15895630391960.413137024844545
0.5498.23818941001680.419189938688419
0.5598.31763486652970.414873857771349
0.5698.39542982151570.400513714880877
0.5798.46985953907420.37745770843054
0.5898.53951212543450.347873267317226
0.5998.60338600872050.314133105537616
0.698.66093983412980.278690719586566
0.6198.71208554843610.243921422156502
0.6298.75713497347230.211927586033515
0.6398.79671614268330.183862067088925
0.6498.83167730324520.160801016572667
0.6598.86299418422950.143088558401553
0.6698.89169117854410.130807994005372
0.6798.91878109920690.12373271277065
0.6898.94522263505310.121285525578203
0.6998.97189065219950.122960443375904
0.798.99955275528170.128059395362533
0.7199.02884636874330.135766490313664
0.7299.06025399439030.145318908236904
0.7399.09407972966520.155682308607388
0.7499.13043641195350.1658119882866
0.7599.16925799718970.174841809280426
0.7699.21035360333940.181957577272412
0.7799.25351567179420.187119326715764
0.7899.29868321584370.190872008481162
0.7999.34614187692410.19488279083652
0.899.3967176617160.201896715224741
0.8199.45189663985750.215143526164832
0.8299.51378915320650.237669135380611
0.8399.584868809540.270399515266052
0.8499.66746713591150.311659477863381
0.8599.76309580601790.356241670603286
0.8699.87177671621340.396761061391013
0.8799.99163338480280.425178093718787
0.88100.1189697945730.435001246842063
0.89100.248898667520.423702293987661
0.9100.3763234923370.39352092841607
0.91100.4968674829650.35051827390751
0.92100.6073567065060.301659418723284
0.93100.7057849327610.251750157592611
0.94100.7911547514650.202623417631585
0.95100.8637887830330.155814178887015
0.96100.9262047065470.116168579516844
0.97100.9834308407110.0915578908171452
0.98101.0404019454680.0828822896025993
0.99101.0946700067940.0800499421616219


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')