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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, 17 Mar 2017 22:18:18 +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/2017/Mar/17/t14897891435v1lk6f6yhvx1bu.htm/, Retrieved Tue, 14 May 2024 13:56:27 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 13:56:27 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,7
8
8
7,7
7,3
7,4
8,1
8,3
8,1
7,9
7,9
8,3
8,6
8,7
8,5
8,3
8
8
8,8
8,7
8,5
8,1
7,8
7,7
7,5
7,2
6,9
6,6
6,5
6,6
7,7
8
7,7
7,3
7
7
7,3
7,3
7,1
7,1
7
7
7,5
7,8
7,9
8,1
8,3
8,4
8,6
8,5
8,4
8,3
8
8
8,7
8,7
8,6
8,5
8,5
8,6
8,8
8,7
8,6
8,4
8,1
8,1
8,7
8,7
8,6
8,6
8,5
8,6
8,8
8,8
8,7
8,6
8,3
8,2
8,4
8,2
8
8
7,9
7,8

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

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.541570430273650.0955187154912267
0.026.611880617604710.125961900682011
0.036.695982110064770.162942272651781
0.046.782695030316940.170432946932965
0.056.861872412544210.149253834227788
0.066.927219167728610.119181050338443
0.076.978558115416080.098266308242472
0.087.020049321442740.0933415627155119
0.097.056829139527650.100146846952571
0.17.092714811254610.111253585439466
0.117.129586300812480.121751557663988
0.127.167836726226630.129737580720719
0.137.207136749006230.135416649489063
0.147.247051272131820.140113143806621
0.157.287348563048210.145238755844388
0.167.328029263093430.151442815458618
0.177.369187010876770.158298492746278
0.187.41082700569970.164569492237428
0.197.452739967110840.168820032788054
0.27.494478448004120.169927047093724
0.217.535430966906610.167470077961227
0.227.574953443288550.161768198481882
0.237.6125048931650.153726375935367
0.247.647743409107190.144567597132132
0.257.680560290396780.135469590119214
0.267.711053976093030.127324818706864
0.277.739462733866690.120564923678123
0.287.766082086764910.115168650596617
0.297.791190479553420.110778460984391
0.37.81499832555450.106892082708328
0.317.837625687030030.103013923569493
0.327.859105799268520.098767953020097
0.337.87940704140560.0939480816668384
0.347.898464695199010.0885143273523764
0.357.916214816760760.0825809603331455
0.367.932624470497910.0763929515629962
0.377.947714509783290.0702885441115857
0.387.961572681420670.0646650895078895
0.397.9743561658510.0599264829462983
0.47.986283963963930.0564425790351427
0.417.997620889293140.0544680947735078
0.428.0086561554560.0541067424210448
0.438.019680319114820.0552813778086223
0.448.03096432139460.0577733318959155
0.458.042743459089760.0613010846998697
0.468.055207532283460.06556822181012
0.478.068496661209260.0703247219152738
0.488.082700947442760.0753411650320092
0.498.097861735896730.0804217909635099
0.58.113972834921520.0853471607952658
0.518.130981380659620.0898750362978278
0.528.148789485336370.0937738848280284
0.538.167258708023640.0967921195245003
0.548.186219255152560.0987513372720674
0.558.205484594102980.0995968730837795
0.568.224870244541690.0993671896259699
0.578.244213618032210.0982497224274172
0.588.26339067288260.0965237711076139
0.598.282325350984840.0945133471486307
0.68.300989320223660.0925385313327897
0.618.319392023636150.090788847943375
0.628.337563660167280.0893272565679889
0.638.355535647946350.0880872896012073
0.648.373323720450940.0869051853055519
0.658.390917864455280.0855694213590586
0.668.408281089231480.0839219729744661
0.678.425356182185940.0818535694254443
0.688.442077038468650.0793655795075303
0.698.458379711085120.0765351602726276
0.78.474208598660580.0734885517579975
0.718.489515261148810.0703165089619175
0.728.504250704868590.0670437652426251
0.738.518355516905120.0636053682798548
0.748.531754567105560.0598680905731437
0.758.544362904881840.0557213591320503
0.768.556106400555170.0511397694281369
0.778.566955096771720.0463101327418213
0.788.576960702446870.0416091544131136
0.798.586284474226740.0376301547424424
0.88.595200281119410.0350347500367094
0.818.604061654089010.0343251877481833
0.828.613231368144040.0355159864413693
0.838.622985839345250.0379708382418091
0.848.633420371587120.0406005264502623
0.858.644389545558090.0422289651813161
0.868.655514686734680.0419068275077378
0.878.666275486093760.0392046303281765
0.888.676178805723360.0343862603561827
0.898.684971644653370.0284327683564445
0.98.692842557674530.0229625263390453
0.918.700534958534150.020225600525177
0.928.709274123292350.0224050413877614
0.938.720407305608030.0292211699151951
0.948.734736832425230.0375360891658592
0.958.751757109436450.0427176702049052
0.968.76931806447710.0404517795277219
0.978.784292487053350.0298469108825285
0.988.794220181620180.0153992344003574
0.998.798832395228380.00426838595461281

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.54157043027365 & 0.0955187154912267 \tabularnewline
0.02 & 6.61188061760471 & 0.125961900682011 \tabularnewline
0.03 & 6.69598211006477 & 0.162942272651781 \tabularnewline
0.04 & 6.78269503031694 & 0.170432946932965 \tabularnewline
0.05 & 6.86187241254421 & 0.149253834227788 \tabularnewline
0.06 & 6.92721916772861 & 0.119181050338443 \tabularnewline
0.07 & 6.97855811541608 & 0.098266308242472 \tabularnewline
0.08 & 7.02004932144274 & 0.0933415627155119 \tabularnewline
0.09 & 7.05682913952765 & 0.100146846952571 \tabularnewline
0.1 & 7.09271481125461 & 0.111253585439466 \tabularnewline
0.11 & 7.12958630081248 & 0.121751557663988 \tabularnewline
0.12 & 7.16783672622663 & 0.129737580720719 \tabularnewline
0.13 & 7.20713674900623 & 0.135416649489063 \tabularnewline
0.14 & 7.24705127213182 & 0.140113143806621 \tabularnewline
0.15 & 7.28734856304821 & 0.145238755844388 \tabularnewline
0.16 & 7.32802926309343 & 0.151442815458618 \tabularnewline
0.17 & 7.36918701087677 & 0.158298492746278 \tabularnewline
0.18 & 7.4108270056997 & 0.164569492237428 \tabularnewline
0.19 & 7.45273996711084 & 0.168820032788054 \tabularnewline
0.2 & 7.49447844800412 & 0.169927047093724 \tabularnewline
0.21 & 7.53543096690661 & 0.167470077961227 \tabularnewline
0.22 & 7.57495344328855 & 0.161768198481882 \tabularnewline
0.23 & 7.612504893165 & 0.153726375935367 \tabularnewline
0.24 & 7.64774340910719 & 0.144567597132132 \tabularnewline
0.25 & 7.68056029039678 & 0.135469590119214 \tabularnewline
0.26 & 7.71105397609303 & 0.127324818706864 \tabularnewline
0.27 & 7.73946273386669 & 0.120564923678123 \tabularnewline
0.28 & 7.76608208676491 & 0.115168650596617 \tabularnewline
0.29 & 7.79119047955342 & 0.110778460984391 \tabularnewline
0.3 & 7.8149983255545 & 0.106892082708328 \tabularnewline
0.31 & 7.83762568703003 & 0.103013923569493 \tabularnewline
0.32 & 7.85910579926852 & 0.098767953020097 \tabularnewline
0.33 & 7.8794070414056 & 0.0939480816668384 \tabularnewline
0.34 & 7.89846469519901 & 0.0885143273523764 \tabularnewline
0.35 & 7.91621481676076 & 0.0825809603331455 \tabularnewline
0.36 & 7.93262447049791 & 0.0763929515629962 \tabularnewline
0.37 & 7.94771450978329 & 0.0702885441115857 \tabularnewline
0.38 & 7.96157268142067 & 0.0646650895078895 \tabularnewline
0.39 & 7.974356165851 & 0.0599264829462983 \tabularnewline
0.4 & 7.98628396396393 & 0.0564425790351427 \tabularnewline
0.41 & 7.99762088929314 & 0.0544680947735078 \tabularnewline
0.42 & 8.008656155456 & 0.0541067424210448 \tabularnewline
0.43 & 8.01968031911482 & 0.0552813778086223 \tabularnewline
0.44 & 8.0309643213946 & 0.0577733318959155 \tabularnewline
0.45 & 8.04274345908976 & 0.0613010846998697 \tabularnewline
0.46 & 8.05520753228346 & 0.06556822181012 \tabularnewline
0.47 & 8.06849666120926 & 0.0703247219152738 \tabularnewline
0.48 & 8.08270094744276 & 0.0753411650320092 \tabularnewline
0.49 & 8.09786173589673 & 0.0804217909635099 \tabularnewline
0.5 & 8.11397283492152 & 0.0853471607952658 \tabularnewline
0.51 & 8.13098138065962 & 0.0898750362978278 \tabularnewline
0.52 & 8.14878948533637 & 0.0937738848280284 \tabularnewline
0.53 & 8.16725870802364 & 0.0967921195245003 \tabularnewline
0.54 & 8.18621925515256 & 0.0987513372720674 \tabularnewline
0.55 & 8.20548459410298 & 0.0995968730837795 \tabularnewline
0.56 & 8.22487024454169 & 0.0993671896259699 \tabularnewline
0.57 & 8.24421361803221 & 0.0982497224274172 \tabularnewline
0.58 & 8.2633906728826 & 0.0965237711076139 \tabularnewline
0.59 & 8.28232535098484 & 0.0945133471486307 \tabularnewline
0.6 & 8.30098932022366 & 0.0925385313327897 \tabularnewline
0.61 & 8.31939202363615 & 0.090788847943375 \tabularnewline
0.62 & 8.33756366016728 & 0.0893272565679889 \tabularnewline
0.63 & 8.35553564794635 & 0.0880872896012073 \tabularnewline
0.64 & 8.37332372045094 & 0.0869051853055519 \tabularnewline
0.65 & 8.39091786445528 & 0.0855694213590586 \tabularnewline
0.66 & 8.40828108923148 & 0.0839219729744661 \tabularnewline
0.67 & 8.42535618218594 & 0.0818535694254443 \tabularnewline
0.68 & 8.44207703846865 & 0.0793655795075303 \tabularnewline
0.69 & 8.45837971108512 & 0.0765351602726276 \tabularnewline
0.7 & 8.47420859866058 & 0.0734885517579975 \tabularnewline
0.71 & 8.48951526114881 & 0.0703165089619175 \tabularnewline
0.72 & 8.50425070486859 & 0.0670437652426251 \tabularnewline
0.73 & 8.51835551690512 & 0.0636053682798548 \tabularnewline
0.74 & 8.53175456710556 & 0.0598680905731437 \tabularnewline
0.75 & 8.54436290488184 & 0.0557213591320503 \tabularnewline
0.76 & 8.55610640055517 & 0.0511397694281369 \tabularnewline
0.77 & 8.56695509677172 & 0.0463101327418213 \tabularnewline
0.78 & 8.57696070244687 & 0.0416091544131136 \tabularnewline
0.79 & 8.58628447422674 & 0.0376301547424424 \tabularnewline
0.8 & 8.59520028111941 & 0.0350347500367094 \tabularnewline
0.81 & 8.60406165408901 & 0.0343251877481833 \tabularnewline
0.82 & 8.61323136814404 & 0.0355159864413693 \tabularnewline
0.83 & 8.62298583934525 & 0.0379708382418091 \tabularnewline
0.84 & 8.63342037158712 & 0.0406005264502623 \tabularnewline
0.85 & 8.64438954555809 & 0.0422289651813161 \tabularnewline
0.86 & 8.65551468673468 & 0.0419068275077378 \tabularnewline
0.87 & 8.66627548609376 & 0.0392046303281765 \tabularnewline
0.88 & 8.67617880572336 & 0.0343862603561827 \tabularnewline
0.89 & 8.68497164465337 & 0.0284327683564445 \tabularnewline
0.9 & 8.69284255767453 & 0.0229625263390453 \tabularnewline
0.91 & 8.70053495853415 & 0.020225600525177 \tabularnewline
0.92 & 8.70927412329235 & 0.0224050413877614 \tabularnewline
0.93 & 8.72040730560803 & 0.0292211699151951 \tabularnewline
0.94 & 8.73473683242523 & 0.0375360891658592 \tabularnewline
0.95 & 8.75175710943645 & 0.0427176702049052 \tabularnewline
0.96 & 8.7693180644771 & 0.0404517795277219 \tabularnewline
0.97 & 8.78429248705335 & 0.0298469108825285 \tabularnewline
0.98 & 8.79422018162018 & 0.0153992344003574 \tabularnewline
0.99 & 8.79883239522838 & 0.00426838595461281 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]6.54157043027365[/C][C]0.0955187154912267[/C][/ROW]
[ROW][C]0.02[/C][C]6.61188061760471[/C][C]0.125961900682011[/C][/ROW]
[ROW][C]0.03[/C][C]6.69598211006477[/C][C]0.162942272651781[/C][/ROW]
[ROW][C]0.04[/C][C]6.78269503031694[/C][C]0.170432946932965[/C][/ROW]
[ROW][C]0.05[/C][C]6.86187241254421[/C][C]0.149253834227788[/C][/ROW]
[ROW][C]0.06[/C][C]6.92721916772861[/C][C]0.119181050338443[/C][/ROW]
[ROW][C]0.07[/C][C]6.97855811541608[/C][C]0.098266308242472[/C][/ROW]
[ROW][C]0.08[/C][C]7.02004932144274[/C][C]0.0933415627155119[/C][/ROW]
[ROW][C]0.09[/C][C]7.05682913952765[/C][C]0.100146846952571[/C][/ROW]
[ROW][C]0.1[/C][C]7.09271481125461[/C][C]0.111253585439466[/C][/ROW]
[ROW][C]0.11[/C][C]7.12958630081248[/C][C]0.121751557663988[/C][/ROW]
[ROW][C]0.12[/C][C]7.16783672622663[/C][C]0.129737580720719[/C][/ROW]
[ROW][C]0.13[/C][C]7.20713674900623[/C][C]0.135416649489063[/C][/ROW]
[ROW][C]0.14[/C][C]7.24705127213182[/C][C]0.140113143806621[/C][/ROW]
[ROW][C]0.15[/C][C]7.28734856304821[/C][C]0.145238755844388[/C][/ROW]
[ROW][C]0.16[/C][C]7.32802926309343[/C][C]0.151442815458618[/C][/ROW]
[ROW][C]0.17[/C][C]7.36918701087677[/C][C]0.158298492746278[/C][/ROW]
[ROW][C]0.18[/C][C]7.4108270056997[/C][C]0.164569492237428[/C][/ROW]
[ROW][C]0.19[/C][C]7.45273996711084[/C][C]0.168820032788054[/C][/ROW]
[ROW][C]0.2[/C][C]7.49447844800412[/C][C]0.169927047093724[/C][/ROW]
[ROW][C]0.21[/C][C]7.53543096690661[/C][C]0.167470077961227[/C][/ROW]
[ROW][C]0.22[/C][C]7.57495344328855[/C][C]0.161768198481882[/C][/ROW]
[ROW][C]0.23[/C][C]7.612504893165[/C][C]0.153726375935367[/C][/ROW]
[ROW][C]0.24[/C][C]7.64774340910719[/C][C]0.144567597132132[/C][/ROW]
[ROW][C]0.25[/C][C]7.68056029039678[/C][C]0.135469590119214[/C][/ROW]
[ROW][C]0.26[/C][C]7.71105397609303[/C][C]0.127324818706864[/C][/ROW]
[ROW][C]0.27[/C][C]7.73946273386669[/C][C]0.120564923678123[/C][/ROW]
[ROW][C]0.28[/C][C]7.76608208676491[/C][C]0.115168650596617[/C][/ROW]
[ROW][C]0.29[/C][C]7.79119047955342[/C][C]0.110778460984391[/C][/ROW]
[ROW][C]0.3[/C][C]7.8149983255545[/C][C]0.106892082708328[/C][/ROW]
[ROW][C]0.31[/C][C]7.83762568703003[/C][C]0.103013923569493[/C][/ROW]
[ROW][C]0.32[/C][C]7.85910579926852[/C][C]0.098767953020097[/C][/ROW]
[ROW][C]0.33[/C][C]7.8794070414056[/C][C]0.0939480816668384[/C][/ROW]
[ROW][C]0.34[/C][C]7.89846469519901[/C][C]0.0885143273523764[/C][/ROW]
[ROW][C]0.35[/C][C]7.91621481676076[/C][C]0.0825809603331455[/C][/ROW]
[ROW][C]0.36[/C][C]7.93262447049791[/C][C]0.0763929515629962[/C][/ROW]
[ROW][C]0.37[/C][C]7.94771450978329[/C][C]0.0702885441115857[/C][/ROW]
[ROW][C]0.38[/C][C]7.96157268142067[/C][C]0.0646650895078895[/C][/ROW]
[ROW][C]0.39[/C][C]7.974356165851[/C][C]0.0599264829462983[/C][/ROW]
[ROW][C]0.4[/C][C]7.98628396396393[/C][C]0.0564425790351427[/C][/ROW]
[ROW][C]0.41[/C][C]7.99762088929314[/C][C]0.0544680947735078[/C][/ROW]
[ROW][C]0.42[/C][C]8.008656155456[/C][C]0.0541067424210448[/C][/ROW]
[ROW][C]0.43[/C][C]8.01968031911482[/C][C]0.0552813778086223[/C][/ROW]
[ROW][C]0.44[/C][C]8.0309643213946[/C][C]0.0577733318959155[/C][/ROW]
[ROW][C]0.45[/C][C]8.04274345908976[/C][C]0.0613010846998697[/C][/ROW]
[ROW][C]0.46[/C][C]8.05520753228346[/C][C]0.06556822181012[/C][/ROW]
[ROW][C]0.47[/C][C]8.06849666120926[/C][C]0.0703247219152738[/C][/ROW]
[ROW][C]0.48[/C][C]8.08270094744276[/C][C]0.0753411650320092[/C][/ROW]
[ROW][C]0.49[/C][C]8.09786173589673[/C][C]0.0804217909635099[/C][/ROW]
[ROW][C]0.5[/C][C]8.11397283492152[/C][C]0.0853471607952658[/C][/ROW]
[ROW][C]0.51[/C][C]8.13098138065962[/C][C]0.0898750362978278[/C][/ROW]
[ROW][C]0.52[/C][C]8.14878948533637[/C][C]0.0937738848280284[/C][/ROW]
[ROW][C]0.53[/C][C]8.16725870802364[/C][C]0.0967921195245003[/C][/ROW]
[ROW][C]0.54[/C][C]8.18621925515256[/C][C]0.0987513372720674[/C][/ROW]
[ROW][C]0.55[/C][C]8.20548459410298[/C][C]0.0995968730837795[/C][/ROW]
[ROW][C]0.56[/C][C]8.22487024454169[/C][C]0.0993671896259699[/C][/ROW]
[ROW][C]0.57[/C][C]8.24421361803221[/C][C]0.0982497224274172[/C][/ROW]
[ROW][C]0.58[/C][C]8.2633906728826[/C][C]0.0965237711076139[/C][/ROW]
[ROW][C]0.59[/C][C]8.28232535098484[/C][C]0.0945133471486307[/C][/ROW]
[ROW][C]0.6[/C][C]8.30098932022366[/C][C]0.0925385313327897[/C][/ROW]
[ROW][C]0.61[/C][C]8.31939202363615[/C][C]0.090788847943375[/C][/ROW]
[ROW][C]0.62[/C][C]8.33756366016728[/C][C]0.0893272565679889[/C][/ROW]
[ROW][C]0.63[/C][C]8.35553564794635[/C][C]0.0880872896012073[/C][/ROW]
[ROW][C]0.64[/C][C]8.37332372045094[/C][C]0.0869051853055519[/C][/ROW]
[ROW][C]0.65[/C][C]8.39091786445528[/C][C]0.0855694213590586[/C][/ROW]
[ROW][C]0.66[/C][C]8.40828108923148[/C][C]0.0839219729744661[/C][/ROW]
[ROW][C]0.67[/C][C]8.42535618218594[/C][C]0.0818535694254443[/C][/ROW]
[ROW][C]0.68[/C][C]8.44207703846865[/C][C]0.0793655795075303[/C][/ROW]
[ROW][C]0.69[/C][C]8.45837971108512[/C][C]0.0765351602726276[/C][/ROW]
[ROW][C]0.7[/C][C]8.47420859866058[/C][C]0.0734885517579975[/C][/ROW]
[ROW][C]0.71[/C][C]8.48951526114881[/C][C]0.0703165089619175[/C][/ROW]
[ROW][C]0.72[/C][C]8.50425070486859[/C][C]0.0670437652426251[/C][/ROW]
[ROW][C]0.73[/C][C]8.51835551690512[/C][C]0.0636053682798548[/C][/ROW]
[ROW][C]0.74[/C][C]8.53175456710556[/C][C]0.0598680905731437[/C][/ROW]
[ROW][C]0.75[/C][C]8.54436290488184[/C][C]0.0557213591320503[/C][/ROW]
[ROW][C]0.76[/C][C]8.55610640055517[/C][C]0.0511397694281369[/C][/ROW]
[ROW][C]0.77[/C][C]8.56695509677172[/C][C]0.0463101327418213[/C][/ROW]
[ROW][C]0.78[/C][C]8.57696070244687[/C][C]0.0416091544131136[/C][/ROW]
[ROW][C]0.79[/C][C]8.58628447422674[/C][C]0.0376301547424424[/C][/ROW]
[ROW][C]0.8[/C][C]8.59520028111941[/C][C]0.0350347500367094[/C][/ROW]
[ROW][C]0.81[/C][C]8.60406165408901[/C][C]0.0343251877481833[/C][/ROW]
[ROW][C]0.82[/C][C]8.61323136814404[/C][C]0.0355159864413693[/C][/ROW]
[ROW][C]0.83[/C][C]8.62298583934525[/C][C]0.0379708382418091[/C][/ROW]
[ROW][C]0.84[/C][C]8.63342037158712[/C][C]0.0406005264502623[/C][/ROW]
[ROW][C]0.85[/C][C]8.64438954555809[/C][C]0.0422289651813161[/C][/ROW]
[ROW][C]0.86[/C][C]8.65551468673468[/C][C]0.0419068275077378[/C][/ROW]
[ROW][C]0.87[/C][C]8.66627548609376[/C][C]0.0392046303281765[/C][/ROW]
[ROW][C]0.88[/C][C]8.67617880572336[/C][C]0.0343862603561827[/C][/ROW]
[ROW][C]0.89[/C][C]8.68497164465337[/C][C]0.0284327683564445[/C][/ROW]
[ROW][C]0.9[/C][C]8.69284255767453[/C][C]0.0229625263390453[/C][/ROW]
[ROW][C]0.91[/C][C]8.70053495853415[/C][C]0.020225600525177[/C][/ROW]
[ROW][C]0.92[/C][C]8.70927412329235[/C][C]0.0224050413877614[/C][/ROW]
[ROW][C]0.93[/C][C]8.72040730560803[/C][C]0.0292211699151951[/C][/ROW]
[ROW][C]0.94[/C][C]8.73473683242523[/C][C]0.0375360891658592[/C][/ROW]
[ROW][C]0.95[/C][C]8.75175710943645[/C][C]0.0427176702049052[/C][/ROW]
[ROW][C]0.96[/C][C]8.7693180644771[/C][C]0.0404517795277219[/C][/ROW]
[ROW][C]0.97[/C][C]8.78429248705335[/C][C]0.0298469108825285[/C][/ROW]
[ROW][C]0.98[/C][C]8.79422018162018[/C][C]0.0153992344003574[/C][/ROW]
[ROW][C]0.99[/C][C]8.79883239522838[/C][C]0.00426838595461281[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.016.541570430273650.0955187154912267
0.026.611880617604710.125961900682011
0.036.695982110064770.162942272651781
0.046.782695030316940.170432946932965
0.056.861872412544210.149253834227788
0.066.927219167728610.119181050338443
0.076.978558115416080.098266308242472
0.087.020049321442740.0933415627155119
0.097.056829139527650.100146846952571
0.17.092714811254610.111253585439466
0.117.129586300812480.121751557663988
0.127.167836726226630.129737580720719
0.137.207136749006230.135416649489063
0.147.247051272131820.140113143806621
0.157.287348563048210.145238755844388
0.167.328029263093430.151442815458618
0.177.369187010876770.158298492746278
0.187.41082700569970.164569492237428
0.197.452739967110840.168820032788054
0.27.494478448004120.169927047093724
0.217.535430966906610.167470077961227
0.227.574953443288550.161768198481882
0.237.6125048931650.153726375935367
0.247.647743409107190.144567597132132
0.257.680560290396780.135469590119214
0.267.711053976093030.127324818706864
0.277.739462733866690.120564923678123
0.287.766082086764910.115168650596617
0.297.791190479553420.110778460984391
0.37.81499832555450.106892082708328
0.317.837625687030030.103013923569493
0.327.859105799268520.098767953020097
0.337.87940704140560.0939480816668384
0.347.898464695199010.0885143273523764
0.357.916214816760760.0825809603331455
0.367.932624470497910.0763929515629962
0.377.947714509783290.0702885441115857
0.387.961572681420670.0646650895078895
0.397.9743561658510.0599264829462983
0.47.986283963963930.0564425790351427
0.417.997620889293140.0544680947735078
0.428.0086561554560.0541067424210448
0.438.019680319114820.0552813778086223
0.448.03096432139460.0577733318959155
0.458.042743459089760.0613010846998697
0.468.055207532283460.06556822181012
0.478.068496661209260.0703247219152738
0.488.082700947442760.0753411650320092
0.498.097861735896730.0804217909635099
0.58.113972834921520.0853471607952658
0.518.130981380659620.0898750362978278
0.528.148789485336370.0937738848280284
0.538.167258708023640.0967921195245003
0.548.186219255152560.0987513372720674
0.558.205484594102980.0995968730837795
0.568.224870244541690.0993671896259699
0.578.244213618032210.0982497224274172
0.588.26339067288260.0965237711076139
0.598.282325350984840.0945133471486307
0.68.300989320223660.0925385313327897
0.618.319392023636150.090788847943375
0.628.337563660167280.0893272565679889
0.638.355535647946350.0880872896012073
0.648.373323720450940.0869051853055519
0.658.390917864455280.0855694213590586
0.668.408281089231480.0839219729744661
0.678.425356182185940.0818535694254443
0.688.442077038468650.0793655795075303
0.698.458379711085120.0765351602726276
0.78.474208598660580.0734885517579975
0.718.489515261148810.0703165089619175
0.728.504250704868590.0670437652426251
0.738.518355516905120.0636053682798548
0.748.531754567105560.0598680905731437
0.758.544362904881840.0557213591320503
0.768.556106400555170.0511397694281369
0.778.566955096771720.0463101327418213
0.788.576960702446870.0416091544131136
0.798.586284474226740.0376301547424424
0.88.595200281119410.0350347500367094
0.818.604061654089010.0343251877481833
0.828.613231368144040.0355159864413693
0.838.622985839345250.0379708382418091
0.848.633420371587120.0406005264502623
0.858.644389545558090.0422289651813161
0.868.655514686734680.0419068275077378
0.878.666275486093760.0392046303281765
0.888.676178805723360.0343862603561827
0.898.684971644653370.0284327683564445
0.98.692842557674530.0229625263390453
0.918.700534958534150.020225600525177
0.928.709274123292350.0224050413877614
0.938.720407305608030.0292211699151951
0.948.734736832425230.0375360891658592
0.958.751757109436450.0427176702049052
0.968.76931806447710.0404517795277219
0.978.784292487053350.0298469108825285
0.988.794220181620180.0153992344003574
0.998.798832395228380.00426838595461281


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 <- '0.01'
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')