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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, 03 Mar 2008 10:37:05 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/03/t1204565865yhucmvl6nluyq33.htm/, Retrieved Sun, 19 May 2024 01:10:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9933, Retrieved Sun, 19 May 2024 01:10:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

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] [Van Passen Glenn ...] [2008-03-03 17:37:05] [7568f24034461b5d7b2d183bbb217711] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.4
7.2
7
6.6
6.4
6.4
6.8
7.3
7
7
6.7
6.7
6.3
6.2
6
6.3
6.2
6.1
6.2
6.6
6.6
7.8
7.4
7.4
7.5
7.4
7.4
7
6.9
6.9
7.6
7.7
7.6
8.2
8
8.1
8.3
8.2
8.1
7.7
7.6
7.7
8.2
8.4
8.4
8.6
8.4
8.5
8.7
8.7
8.6
7.4
7.3
7.4
9
9.2
9.2
8.5
8.3
8.3
8.6
8.6
8.5
8.1
8.1
8
8.6
8.7
8.7
8.6
8.4
8.4
8.7
8.7
8.5
8.3
8.3
8.3
8.1
8.2
8.1
8.1
7.9
7.7
8.1
8
7.7
7.8
7.6
7.4
7.3
7.4
7.1
7.3
7.1
7.1

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9933&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9933&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9933&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.04852465060130.0906886126158482
0.026.114491367695330.0772433084892436
0.036.1705382158580.0668785903703898
0.046.215621430451130.0722832904840298
0.056.257808700429130.0905713170756189
0.066.303012642543380.112047494258888
0.076.3530326920710.131188711078851
0.086.407046891464750.145622075506615
0.096.463279696563480.154762297595837
0.16.520004267052230.159453306716268
0.116.575987109171180.161494987869846
0.126.630568679566410.162575221571014
0.136.683504345794010.163337320054049
0.146.734705190353720.163328846161283
0.156.784034221599990.161689747829441
0.166.83125308219350.157982211090839
0.176.876109613958760.152570296525703
0.186.918480338273020.146526276284312
0.196.95847115685670.141187153912080
0.26.996421260235190.137589908405498
0.217.032812465060590.1360927269237
0.227.06812757255110.136270532639069
0.237.102714055573540.13711382701334
0.247.136697365620210.137421934059031
0.257.16996360729370.136183178400936
0.267.202206726443880.132760945127038
0.277.233018796072630.127020850450947
0.287.261996012687350.119282617017711
0.297.288835816015920.11025083139554
0.37.313408154169760.100862518504078
0.317.335792420712150.0921554153499926
0.327.35627855068450.0851657525105954
0.337.37533556713420.0807540761117422
0.347.393554156002540.0794852207611655
0.357.411572496378150.0814465209200405
0.367.429996873964350.0862186490144066
0.377.44933000638460.0929696975276503
0.387.469919500170810.100714466374894
0.397.491935688813470.108505292521631
0.47.515382382018210.115593908757267
0.417.540136935422540.121531705119038
0.427.566009370657930.126237399403956
0.437.592805919862120.129949066917535
0.447.620381593656620.133133561856487
0.457.648669407885310.136332573584541
0.467.677679931916770.139973798456537
0.477.70747226920920.144226732873267
0.487.738104598799420.148916184402195
0.497.769577342191960.153542514910383
0.57.801783787968070.157364979584098
0.517.834481291225290.159578515545996
0.527.867291449946580.159470819083521
0.537.899731087479230.156601673613429
0.547.931268962623310.150865935389254
0.557.961397433353680.142561132383285
0.567.989705034763550.132320830894448
0.578.015935726109860.121085172702485
0.588.040023353642120.109864912163780
0.598.06209497287820.0996713094353436
0.68.082442943264720.091352180889819
0.618.101471832040250.0853922535154479
0.628.119630904071210.0818948918479551
0.638.137345401571510.0805255806357754
0.648.154959481549510.080649278388744
0.658.172700692875170.0815095045375676
0.668.190670902313930.0824240874325892
0.678.208862717384450.082894169344996
0.688.227195030033530.0826693886708013
0.698.245557600415160.0817284533415066
0.78.263853537498790.0802881616503619
0.718.282030376283340.0786475852820207
0.728.300094613934240.0771306379803333
0.738.318109670262490.0760239730158696
0.748.336181510709410.0754298583304963
0.758.354438133874980.0753724112201925
0.768.373008285586440.0757747055916848
0.778.392001917808620.076507665116844
0.788.411491852777170.077408775107098
0.798.43149481361770.0782416020409153
0.88.451951702204420.0786979494327657
0.818.472711653006050.0784059866339578
0.828.493530174336680.077012888564479
0.838.514094955396540.0742606136244894
0.848.534088658736640.0701460301750636
0.858.553282183582350.065056590204612
0.868.571626217871650.0597894632074321
0.878.589286188606440.0553883978432615
0.888.60656972538490.0525833324921886
0.898.623749887580520.0511446300259796
0.98.640894032854840.0497796186349392
0.918.657931452317640.0470694180035844
0.928.675255773506040.0433060700286208
0.938.695038078474840.0430583409077491
0.948.722928282664330.0571882855833439
0.958.768737358282280.094457470402204
0.968.843315491345780.149482364891685
0.978.949136081124130.195443803759379
0.989.068007770645690.186538731444275
0.999.161377043879810.098874666722534

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.0485246506013 & 0.0906886126158482 \tabularnewline
0.02 & 6.11449136769533 & 0.0772433084892436 \tabularnewline
0.03 & 6.170538215858 & 0.0668785903703898 \tabularnewline
0.04 & 6.21562143045113 & 0.0722832904840298 \tabularnewline
0.05 & 6.25780870042913 & 0.0905713170756189 \tabularnewline
0.06 & 6.30301264254338 & 0.112047494258888 \tabularnewline
0.07 & 6.353032692071 & 0.131188711078851 \tabularnewline
0.08 & 6.40704689146475 & 0.145622075506615 \tabularnewline
0.09 & 6.46327969656348 & 0.154762297595837 \tabularnewline
0.1 & 6.52000426705223 & 0.159453306716268 \tabularnewline
0.11 & 6.57598710917118 & 0.161494987869846 \tabularnewline
0.12 & 6.63056867956641 & 0.162575221571014 \tabularnewline
0.13 & 6.68350434579401 & 0.163337320054049 \tabularnewline
0.14 & 6.73470519035372 & 0.163328846161283 \tabularnewline
0.15 & 6.78403422159999 & 0.161689747829441 \tabularnewline
0.16 & 6.8312530821935 & 0.157982211090839 \tabularnewline
0.17 & 6.87610961395876 & 0.152570296525703 \tabularnewline
0.18 & 6.91848033827302 & 0.146526276284312 \tabularnewline
0.19 & 6.9584711568567 & 0.141187153912080 \tabularnewline
0.2 & 6.99642126023519 & 0.137589908405498 \tabularnewline
0.21 & 7.03281246506059 & 0.1360927269237 \tabularnewline
0.22 & 7.0681275725511 & 0.136270532639069 \tabularnewline
0.23 & 7.10271405557354 & 0.13711382701334 \tabularnewline
0.24 & 7.13669736562021 & 0.137421934059031 \tabularnewline
0.25 & 7.1699636072937 & 0.136183178400936 \tabularnewline
0.26 & 7.20220672644388 & 0.132760945127038 \tabularnewline
0.27 & 7.23301879607263 & 0.127020850450947 \tabularnewline
0.28 & 7.26199601268735 & 0.119282617017711 \tabularnewline
0.29 & 7.28883581601592 & 0.11025083139554 \tabularnewline
0.3 & 7.31340815416976 & 0.100862518504078 \tabularnewline
0.31 & 7.33579242071215 & 0.0921554153499926 \tabularnewline
0.32 & 7.3562785506845 & 0.0851657525105954 \tabularnewline
0.33 & 7.3753355671342 & 0.0807540761117422 \tabularnewline
0.34 & 7.39355415600254 & 0.0794852207611655 \tabularnewline
0.35 & 7.41157249637815 & 0.0814465209200405 \tabularnewline
0.36 & 7.42999687396435 & 0.0862186490144066 \tabularnewline
0.37 & 7.4493300063846 & 0.0929696975276503 \tabularnewline
0.38 & 7.46991950017081 & 0.100714466374894 \tabularnewline
0.39 & 7.49193568881347 & 0.108505292521631 \tabularnewline
0.4 & 7.51538238201821 & 0.115593908757267 \tabularnewline
0.41 & 7.54013693542254 & 0.121531705119038 \tabularnewline
0.42 & 7.56600937065793 & 0.126237399403956 \tabularnewline
0.43 & 7.59280591986212 & 0.129949066917535 \tabularnewline
0.44 & 7.62038159365662 & 0.133133561856487 \tabularnewline
0.45 & 7.64866940788531 & 0.136332573584541 \tabularnewline
0.46 & 7.67767993191677 & 0.139973798456537 \tabularnewline
0.47 & 7.7074722692092 & 0.144226732873267 \tabularnewline
0.48 & 7.73810459879942 & 0.148916184402195 \tabularnewline
0.49 & 7.76957734219196 & 0.153542514910383 \tabularnewline
0.5 & 7.80178378796807 & 0.157364979584098 \tabularnewline
0.51 & 7.83448129122529 & 0.159578515545996 \tabularnewline
0.52 & 7.86729144994658 & 0.159470819083521 \tabularnewline
0.53 & 7.89973108747923 & 0.156601673613429 \tabularnewline
0.54 & 7.93126896262331 & 0.150865935389254 \tabularnewline
0.55 & 7.96139743335368 & 0.142561132383285 \tabularnewline
0.56 & 7.98970503476355 & 0.132320830894448 \tabularnewline
0.57 & 8.01593572610986 & 0.121085172702485 \tabularnewline
0.58 & 8.04002335364212 & 0.109864912163780 \tabularnewline
0.59 & 8.0620949728782 & 0.0996713094353436 \tabularnewline
0.6 & 8.08244294326472 & 0.091352180889819 \tabularnewline
0.61 & 8.10147183204025 & 0.0853922535154479 \tabularnewline
0.62 & 8.11963090407121 & 0.0818948918479551 \tabularnewline
0.63 & 8.13734540157151 & 0.0805255806357754 \tabularnewline
0.64 & 8.15495948154951 & 0.080649278388744 \tabularnewline
0.65 & 8.17270069287517 & 0.0815095045375676 \tabularnewline
0.66 & 8.19067090231393 & 0.0824240874325892 \tabularnewline
0.67 & 8.20886271738445 & 0.082894169344996 \tabularnewline
0.68 & 8.22719503003353 & 0.0826693886708013 \tabularnewline
0.69 & 8.24555760041516 & 0.0817284533415066 \tabularnewline
0.7 & 8.26385353749879 & 0.0802881616503619 \tabularnewline
0.71 & 8.28203037628334 & 0.0786475852820207 \tabularnewline
0.72 & 8.30009461393424 & 0.0771306379803333 \tabularnewline
0.73 & 8.31810967026249 & 0.0760239730158696 \tabularnewline
0.74 & 8.33618151070941 & 0.0754298583304963 \tabularnewline
0.75 & 8.35443813387498 & 0.0753724112201925 \tabularnewline
0.76 & 8.37300828558644 & 0.0757747055916848 \tabularnewline
0.77 & 8.39200191780862 & 0.076507665116844 \tabularnewline
0.78 & 8.41149185277717 & 0.077408775107098 \tabularnewline
0.79 & 8.4314948136177 & 0.0782416020409153 \tabularnewline
0.8 & 8.45195170220442 & 0.0786979494327657 \tabularnewline
0.81 & 8.47271165300605 & 0.0784059866339578 \tabularnewline
0.82 & 8.49353017433668 & 0.077012888564479 \tabularnewline
0.83 & 8.51409495539654 & 0.0742606136244894 \tabularnewline
0.84 & 8.53408865873664 & 0.0701460301750636 \tabularnewline
0.85 & 8.55328218358235 & 0.065056590204612 \tabularnewline
0.86 & 8.57162621787165 & 0.0597894632074321 \tabularnewline
0.87 & 8.58928618860644 & 0.0553883978432615 \tabularnewline
0.88 & 8.6065697253849 & 0.0525833324921886 \tabularnewline
0.89 & 8.62374988758052 & 0.0511446300259796 \tabularnewline
0.9 & 8.64089403285484 & 0.0497796186349392 \tabularnewline
0.91 & 8.65793145231764 & 0.0470694180035844 \tabularnewline
0.92 & 8.67525577350604 & 0.0433060700286208 \tabularnewline
0.93 & 8.69503807847484 & 0.0430583409077491 \tabularnewline
0.94 & 8.72292828266433 & 0.0571882855833439 \tabularnewline
0.95 & 8.76873735828228 & 0.094457470402204 \tabularnewline
0.96 & 8.84331549134578 & 0.149482364891685 \tabularnewline
0.97 & 8.94913608112413 & 0.195443803759379 \tabularnewline
0.98 & 9.06800777064569 & 0.186538731444275 \tabularnewline
0.99 & 9.16137704387981 & 0.098874666722534 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9933&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]6.0485246506013[/C][C]0.0906886126158482[/C][/ROW]
[ROW][C]0.02[/C][C]6.11449136769533[/C][C]0.0772433084892436[/C][/ROW]
[ROW][C]0.03[/C][C]6.170538215858[/C][C]0.0668785903703898[/C][/ROW]
[ROW][C]0.04[/C][C]6.21562143045113[/C][C]0.0722832904840298[/C][/ROW]
[ROW][C]0.05[/C][C]6.25780870042913[/C][C]0.0905713170756189[/C][/ROW]
[ROW][C]0.06[/C][C]6.30301264254338[/C][C]0.112047494258888[/C][/ROW]
[ROW][C]0.07[/C][C]6.353032692071[/C][C]0.131188711078851[/C][/ROW]
[ROW][C]0.08[/C][C]6.40704689146475[/C][C]0.145622075506615[/C][/ROW]
[ROW][C]0.09[/C][C]6.46327969656348[/C][C]0.154762297595837[/C][/ROW]
[ROW][C]0.1[/C][C]6.52000426705223[/C][C]0.159453306716268[/C][/ROW]
[ROW][C]0.11[/C][C]6.57598710917118[/C][C]0.161494987869846[/C][/ROW]
[ROW][C]0.12[/C][C]6.63056867956641[/C][C]0.162575221571014[/C][/ROW]
[ROW][C]0.13[/C][C]6.68350434579401[/C][C]0.163337320054049[/C][/ROW]
[ROW][C]0.14[/C][C]6.73470519035372[/C][C]0.163328846161283[/C][/ROW]
[ROW][C]0.15[/C][C]6.78403422159999[/C][C]0.161689747829441[/C][/ROW]
[ROW][C]0.16[/C][C]6.8312530821935[/C][C]0.157982211090839[/C][/ROW]
[ROW][C]0.17[/C][C]6.87610961395876[/C][C]0.152570296525703[/C][/ROW]
[ROW][C]0.18[/C][C]6.91848033827302[/C][C]0.146526276284312[/C][/ROW]
[ROW][C]0.19[/C][C]6.9584711568567[/C][C]0.141187153912080[/C][/ROW]
[ROW][C]0.2[/C][C]6.99642126023519[/C][C]0.137589908405498[/C][/ROW]
[ROW][C]0.21[/C][C]7.03281246506059[/C][C]0.1360927269237[/C][/ROW]
[ROW][C]0.22[/C][C]7.0681275725511[/C][C]0.136270532639069[/C][/ROW]
[ROW][C]0.23[/C][C]7.10271405557354[/C][C]0.13711382701334[/C][/ROW]
[ROW][C]0.24[/C][C]7.13669736562021[/C][C]0.137421934059031[/C][/ROW]
[ROW][C]0.25[/C][C]7.1699636072937[/C][C]0.136183178400936[/C][/ROW]
[ROW][C]0.26[/C][C]7.20220672644388[/C][C]0.132760945127038[/C][/ROW]
[ROW][C]0.27[/C][C]7.23301879607263[/C][C]0.127020850450947[/C][/ROW]
[ROW][C]0.28[/C][C]7.26199601268735[/C][C]0.119282617017711[/C][/ROW]
[ROW][C]0.29[/C][C]7.28883581601592[/C][C]0.11025083139554[/C][/ROW]
[ROW][C]0.3[/C][C]7.31340815416976[/C][C]0.100862518504078[/C][/ROW]
[ROW][C]0.31[/C][C]7.33579242071215[/C][C]0.0921554153499926[/C][/ROW]
[ROW][C]0.32[/C][C]7.3562785506845[/C][C]0.0851657525105954[/C][/ROW]
[ROW][C]0.33[/C][C]7.3753355671342[/C][C]0.0807540761117422[/C][/ROW]
[ROW][C]0.34[/C][C]7.39355415600254[/C][C]0.0794852207611655[/C][/ROW]
[ROW][C]0.35[/C][C]7.41157249637815[/C][C]0.0814465209200405[/C][/ROW]
[ROW][C]0.36[/C][C]7.42999687396435[/C][C]0.0862186490144066[/C][/ROW]
[ROW][C]0.37[/C][C]7.4493300063846[/C][C]0.0929696975276503[/C][/ROW]
[ROW][C]0.38[/C][C]7.46991950017081[/C][C]0.100714466374894[/C][/ROW]
[ROW][C]0.39[/C][C]7.49193568881347[/C][C]0.108505292521631[/C][/ROW]
[ROW][C]0.4[/C][C]7.51538238201821[/C][C]0.115593908757267[/C][/ROW]
[ROW][C]0.41[/C][C]7.54013693542254[/C][C]0.121531705119038[/C][/ROW]
[ROW][C]0.42[/C][C]7.56600937065793[/C][C]0.126237399403956[/C][/ROW]
[ROW][C]0.43[/C][C]7.59280591986212[/C][C]0.129949066917535[/C][/ROW]
[ROW][C]0.44[/C][C]7.62038159365662[/C][C]0.133133561856487[/C][/ROW]
[ROW][C]0.45[/C][C]7.64866940788531[/C][C]0.136332573584541[/C][/ROW]
[ROW][C]0.46[/C][C]7.67767993191677[/C][C]0.139973798456537[/C][/ROW]
[ROW][C]0.47[/C][C]7.7074722692092[/C][C]0.144226732873267[/C][/ROW]
[ROW][C]0.48[/C][C]7.73810459879942[/C][C]0.148916184402195[/C][/ROW]
[ROW][C]0.49[/C][C]7.76957734219196[/C][C]0.153542514910383[/C][/ROW]
[ROW][C]0.5[/C][C]7.80178378796807[/C][C]0.157364979584098[/C][/ROW]
[ROW][C]0.51[/C][C]7.83448129122529[/C][C]0.159578515545996[/C][/ROW]
[ROW][C]0.52[/C][C]7.86729144994658[/C][C]0.159470819083521[/C][/ROW]
[ROW][C]0.53[/C][C]7.89973108747923[/C][C]0.156601673613429[/C][/ROW]
[ROW][C]0.54[/C][C]7.93126896262331[/C][C]0.150865935389254[/C][/ROW]
[ROW][C]0.55[/C][C]7.96139743335368[/C][C]0.142561132383285[/C][/ROW]
[ROW][C]0.56[/C][C]7.98970503476355[/C][C]0.132320830894448[/C][/ROW]
[ROW][C]0.57[/C][C]8.01593572610986[/C][C]0.121085172702485[/C][/ROW]
[ROW][C]0.58[/C][C]8.04002335364212[/C][C]0.109864912163780[/C][/ROW]
[ROW][C]0.59[/C][C]8.0620949728782[/C][C]0.0996713094353436[/C][/ROW]
[ROW][C]0.6[/C][C]8.08244294326472[/C][C]0.091352180889819[/C][/ROW]
[ROW][C]0.61[/C][C]8.10147183204025[/C][C]0.0853922535154479[/C][/ROW]
[ROW][C]0.62[/C][C]8.11963090407121[/C][C]0.0818948918479551[/C][/ROW]
[ROW][C]0.63[/C][C]8.13734540157151[/C][C]0.0805255806357754[/C][/ROW]
[ROW][C]0.64[/C][C]8.15495948154951[/C][C]0.080649278388744[/C][/ROW]
[ROW][C]0.65[/C][C]8.17270069287517[/C][C]0.0815095045375676[/C][/ROW]
[ROW][C]0.66[/C][C]8.19067090231393[/C][C]0.0824240874325892[/C][/ROW]
[ROW][C]0.67[/C][C]8.20886271738445[/C][C]0.082894169344996[/C][/ROW]
[ROW][C]0.68[/C][C]8.22719503003353[/C][C]0.0826693886708013[/C][/ROW]
[ROW][C]0.69[/C][C]8.24555760041516[/C][C]0.0817284533415066[/C][/ROW]
[ROW][C]0.7[/C][C]8.26385353749879[/C][C]0.0802881616503619[/C][/ROW]
[ROW][C]0.71[/C][C]8.28203037628334[/C][C]0.0786475852820207[/C][/ROW]
[ROW][C]0.72[/C][C]8.30009461393424[/C][C]0.0771306379803333[/C][/ROW]
[ROW][C]0.73[/C][C]8.31810967026249[/C][C]0.0760239730158696[/C][/ROW]
[ROW][C]0.74[/C][C]8.33618151070941[/C][C]0.0754298583304963[/C][/ROW]
[ROW][C]0.75[/C][C]8.35443813387498[/C][C]0.0753724112201925[/C][/ROW]
[ROW][C]0.76[/C][C]8.37300828558644[/C][C]0.0757747055916848[/C][/ROW]
[ROW][C]0.77[/C][C]8.39200191780862[/C][C]0.076507665116844[/C][/ROW]
[ROW][C]0.78[/C][C]8.41149185277717[/C][C]0.077408775107098[/C][/ROW]
[ROW][C]0.79[/C][C]8.4314948136177[/C][C]0.0782416020409153[/C][/ROW]
[ROW][C]0.8[/C][C]8.45195170220442[/C][C]0.0786979494327657[/C][/ROW]
[ROW][C]0.81[/C][C]8.47271165300605[/C][C]0.0784059866339578[/C][/ROW]
[ROW][C]0.82[/C][C]8.49353017433668[/C][C]0.077012888564479[/C][/ROW]
[ROW][C]0.83[/C][C]8.51409495539654[/C][C]0.0742606136244894[/C][/ROW]
[ROW][C]0.84[/C][C]8.53408865873664[/C][C]0.0701460301750636[/C][/ROW]
[ROW][C]0.85[/C][C]8.55328218358235[/C][C]0.065056590204612[/C][/ROW]
[ROW][C]0.86[/C][C]8.57162621787165[/C][C]0.0597894632074321[/C][/ROW]
[ROW][C]0.87[/C][C]8.58928618860644[/C][C]0.0553883978432615[/C][/ROW]
[ROW][C]0.88[/C][C]8.6065697253849[/C][C]0.0525833324921886[/C][/ROW]
[ROW][C]0.89[/C][C]8.62374988758052[/C][C]0.0511446300259796[/C][/ROW]
[ROW][C]0.9[/C][C]8.64089403285484[/C][C]0.0497796186349392[/C][/ROW]
[ROW][C]0.91[/C][C]8.65793145231764[/C][C]0.0470694180035844[/C][/ROW]
[ROW][C]0.92[/C][C]8.67525577350604[/C][C]0.0433060700286208[/C][/ROW]
[ROW][C]0.93[/C][C]8.69503807847484[/C][C]0.0430583409077491[/C][/ROW]
[ROW][C]0.94[/C][C]8.72292828266433[/C][C]0.0571882855833439[/C][/ROW]
[ROW][C]0.95[/C][C]8.76873735828228[/C][C]0.094457470402204[/C][/ROW]
[ROW][C]0.96[/C][C]8.84331549134578[/C][C]0.149482364891685[/C][/ROW]
[ROW][C]0.97[/C][C]8.94913608112413[/C][C]0.195443803759379[/C][/ROW]
[ROW][C]0.98[/C][C]9.06800777064569[/C][C]0.186538731444275[/C][/ROW]
[ROW][C]0.99[/C][C]9.16137704387981[/C][C]0.098874666722534[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9933&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9933&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
0.016.04852465060130.0906886126158482
0.026.114491367695330.0772433084892436
0.036.1705382158580.0668785903703898
0.046.215621430451130.0722832904840298
0.056.257808700429130.0905713170756189
0.066.303012642543380.112047494258888
0.076.3530326920710.131188711078851
0.086.407046891464750.145622075506615
0.096.463279696563480.154762297595837
0.16.520004267052230.159453306716268
0.116.575987109171180.161494987869846
0.126.630568679566410.162575221571014
0.136.683504345794010.163337320054049
0.146.734705190353720.163328846161283
0.156.784034221599990.161689747829441
0.166.83125308219350.157982211090839
0.176.876109613958760.152570296525703
0.186.918480338273020.146526276284312
0.196.95847115685670.141187153912080
0.26.996421260235190.137589908405498
0.217.032812465060590.1360927269237
0.227.06812757255110.136270532639069
0.237.102714055573540.13711382701334
0.247.136697365620210.137421934059031
0.257.16996360729370.136183178400936
0.267.202206726443880.132760945127038
0.277.233018796072630.127020850450947
0.287.261996012687350.119282617017711
0.297.288835816015920.11025083139554
0.37.313408154169760.100862518504078
0.317.335792420712150.0921554153499926
0.327.35627855068450.0851657525105954
0.337.37533556713420.0807540761117422
0.347.393554156002540.0794852207611655
0.357.411572496378150.0814465209200405
0.367.429996873964350.0862186490144066
0.377.44933000638460.0929696975276503
0.387.469919500170810.100714466374894
0.397.491935688813470.108505292521631
0.47.515382382018210.115593908757267
0.417.540136935422540.121531705119038
0.427.566009370657930.126237399403956
0.437.592805919862120.129949066917535
0.447.620381593656620.133133561856487
0.457.648669407885310.136332573584541
0.467.677679931916770.139973798456537
0.477.70747226920920.144226732873267
0.487.738104598799420.148916184402195
0.497.769577342191960.153542514910383
0.57.801783787968070.157364979584098
0.517.834481291225290.159578515545996
0.527.867291449946580.159470819083521
0.537.899731087479230.156601673613429
0.547.931268962623310.150865935389254
0.557.961397433353680.142561132383285
0.567.989705034763550.132320830894448
0.578.015935726109860.121085172702485
0.588.040023353642120.109864912163780
0.598.06209497287820.0996713094353436
0.68.082442943264720.091352180889819
0.618.101471832040250.0853922535154479
0.628.119630904071210.0818948918479551
0.638.137345401571510.0805255806357754
0.648.154959481549510.080649278388744
0.658.172700692875170.0815095045375676
0.668.190670902313930.0824240874325892
0.678.208862717384450.082894169344996
0.688.227195030033530.0826693886708013
0.698.245557600415160.0817284533415066
0.78.263853537498790.0802881616503619
0.718.282030376283340.0786475852820207
0.728.300094613934240.0771306379803333
0.738.318109670262490.0760239730158696
0.748.336181510709410.0754298583304963
0.758.354438133874980.0753724112201925
0.768.373008285586440.0757747055916848
0.778.392001917808620.076507665116844
0.788.411491852777170.077408775107098
0.798.43149481361770.0782416020409153
0.88.451951702204420.0786979494327657
0.818.472711653006050.0784059866339578
0.828.493530174336680.077012888564479
0.838.514094955396540.0742606136244894
0.848.534088658736640.0701460301750636
0.858.553282183582350.065056590204612
0.868.571626217871650.0597894632074321
0.878.589286188606440.0553883978432615
0.888.60656972538490.0525833324921886
0.898.623749887580520.0511446300259796
0.98.640894032854840.0497796186349392
0.918.657931452317640.0470694180035844
0.928.675255773506040.0433060700286208
0.938.695038078474840.0430583409077491
0.948.722928282664330.0571882855833439
0.958.768737358282280.094457470402204
0.968.843315491345780.149482364891685
0.978.949136081124130.195443803759379
0.989.068007770645690.186538731444275
0.999.161377043879810.098874666722534


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')