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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 05 Oct 2014 14:49:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/05/t14125172959sz5czhekc8x6zm.htm/, Retrieved Sat, 11 May 2024 11:50:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238780, Retrieved Sat, 11 May 2024 11:50:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-05 13:49:17] [39f63263aa230394eb25f176f7b01700] [Current]
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Dataseries X:
2,04
2,08
1,94
1,91
1,34
1,3
1,39
1,23
1,3
1,79
2,25
2,63
2,8
3,08
3,89
3,68
4,62
5,07
5,22
4,94
5,14
4,8
3,89
3,54
3,34
2,8
1,6
1,56
0,68
-0,11
-0,66
-0,2
-0,62
-0,59
-0,3
-0,26
-0,08
0,13
0,94
1,05
1,59
2,03
2,15
2,05
2,56
2,54
2,53
2,6
2,71
2,82
2,92
2,87
2,89
3,27
3,32
3,14
3,04
3,09
3,39
3,24
3,38
3,41
3,14
2,96
2,74
2,21
2,24
2,56
2,39
2,49
2,17
2,16
1,48
1,09
1,25
1,27
1,39
1,69
1,55
1,19
1,08
0,94
0,98
1,01




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238780&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]1 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=238780&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238780&T=0

As an alternative you can also use a 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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.6340714167723730.0628991906008053
0.02-0.5794439807781860.118377558872476
0.03-0.5015585613983630.168421428007863
0.04-0.4097530233387790.195540694313892
0.05-0.3121521318297440.213348181719914
0.06-0.2112939946778250.244051212500955
0.07-0.104470586711490.29485098793883
0.080.01230408322495240.355406685063485
0.090.1403957854135580.408980606179362
0.10.2769710121886390.44122660376168
0.110.4158107322777310.444785278135556
0.120.5494389452234710.420540080401744
0.130.67133769189720.375908841589025
0.140.7774071454707540.321389547137844
0.150.8663811493515710.267041035162613
0.160.939373131545010.220107354142241
0.170.998966836474060.184138088405333
0.181.048270502980280.159323166292883
0.191.090208471121860.143618026608424
0.21.127143893362660.134204400987245
0.211.160790512413130.12865300891267
0.221.192307897224210.12543214448568
0.231.222471232740960.123867590321415
0.241.25183648718260.123855194715443
0.251.280859876493330.125543681755644
0.261.309962128417380.129067458216635
0.271.339547531189550.134429767581117
0.281.369995494406450.141455078912756
0.291.401641503947140.149855038918838
0.31.434758830187250.159281440074868
0.311.469545708373440.169380361047382
0.321.506117556401060.179785014341401
0.331.544501470403270.190109815496108
0.341.584630785285690.199906160816238
0.351.626339905389650.208653158500763
0.361.669362360731240.215793603014873
0.371.71333665978050.22079915750238
0.381.757824119108380.223250375944767
0.391.802340442471050.222944613256448
0.41.84639917755320.219950306570995
0.411.889561519619270.214631500816576
0.421.93148444707910.207626874584345
0.431.971958614793910.199769802234245
0.442.010928912808580.19197567979073
0.452.04849365787930.185115816483198
0.462.084882217726450.179881944774596
0.472.12041461683860.176694407114857
0.482.155449650218940.175621909822229
0.492.190329809848650.176383067641299
0.52.225331719370150.178417461983509
0.512.260629763846630.181001868873675
0.522.296278323354410.183371106063401
0.532.332214761651350.184861406543143
0.542.36828157506920.185020997966018
0.552.404262560579690.183639544948408
0.562.439925299498320.180791188443361
0.572.475061349180340.17677530394601
0.582.509516611324830.172025755155795
0.592.543207194683440.167032426066904
0.62.576119963227320.16220932207943
0.612.60830075910050.157832655491171
0.622.639835909455030.154035166138193
0.632.670833337640230.150809195120425
0.642.701408309231090.148094598621303
0.652.731676134703060.145827423404129
0.662.76175107142860.143987833853306
0.672.791748346372440.142604262932432
0.682.821785447961120.141727726017254
0.692.851979772076980.141377545908096
0.72.882441832451730.14150459045682
0.712.913265574092760.141988554655565
0.722.944518822930280.142636628768238
0.732.976236940161680.143240154381842
0.743.008421436177370.143610417492797
0.753.04104350831910.143614989524511
0.763.074051489988350.143184161715691
0.773.107382111093290.14229054014194
0.783.140978435994220.140955527023121
0.793.174821198723860.139268942786994
0.83.208982674878520.137502281649363
0.813.243710654840340.136231621008364
0.823.279543179745330.136541235931786
0.833.317443722143710.140087522900492
0.843.358935416036320.149013561679905
0.853.406206190892160.165569322038642
0.863.462154303853640.191590049563825
0.873.530337121830520.228128059187999
0.883.614760937196520.275239789120709
0.893.719405009843060.331465894694876
0.93.847350301711930.392658028243174
0.913.999475736496990.450501564636772
0.924.172976627964470.492215171712792
0.934.360385570222010.503325891461713
0.944.550013941041390.473836045865273
0.954.728356232779540.404949223423431
0.964.883937472425390.311133747051179
0.975.010863388155310.214421344030051
0.985.109436750142320.135239686898916
0.995.181050799564410.0893221649161679

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.634071416772373 & 0.0628991906008053 \tabularnewline
0.02 & -0.579443980778186 & 0.118377558872476 \tabularnewline
0.03 & -0.501558561398363 & 0.168421428007863 \tabularnewline
0.04 & -0.409753023338779 & 0.195540694313892 \tabularnewline
0.05 & -0.312152131829744 & 0.213348181719914 \tabularnewline
0.06 & -0.211293994677825 & 0.244051212500955 \tabularnewline
0.07 & -0.10447058671149 & 0.29485098793883 \tabularnewline
0.08 & 0.0123040832249524 & 0.355406685063485 \tabularnewline
0.09 & 0.140395785413558 & 0.408980606179362 \tabularnewline
0.1 & 0.276971012188639 & 0.44122660376168 \tabularnewline
0.11 & 0.415810732277731 & 0.444785278135556 \tabularnewline
0.12 & 0.549438945223471 & 0.420540080401744 \tabularnewline
0.13 & 0.6713376918972 & 0.375908841589025 \tabularnewline
0.14 & 0.777407145470754 & 0.321389547137844 \tabularnewline
0.15 & 0.866381149351571 & 0.267041035162613 \tabularnewline
0.16 & 0.93937313154501 & 0.220107354142241 \tabularnewline
0.17 & 0.99896683647406 & 0.184138088405333 \tabularnewline
0.18 & 1.04827050298028 & 0.159323166292883 \tabularnewline
0.19 & 1.09020847112186 & 0.143618026608424 \tabularnewline
0.2 & 1.12714389336266 & 0.134204400987245 \tabularnewline
0.21 & 1.16079051241313 & 0.12865300891267 \tabularnewline
0.22 & 1.19230789722421 & 0.12543214448568 \tabularnewline
0.23 & 1.22247123274096 & 0.123867590321415 \tabularnewline
0.24 & 1.2518364871826 & 0.123855194715443 \tabularnewline
0.25 & 1.28085987649333 & 0.125543681755644 \tabularnewline
0.26 & 1.30996212841738 & 0.129067458216635 \tabularnewline
0.27 & 1.33954753118955 & 0.134429767581117 \tabularnewline
0.28 & 1.36999549440645 & 0.141455078912756 \tabularnewline
0.29 & 1.40164150394714 & 0.149855038918838 \tabularnewline
0.3 & 1.43475883018725 & 0.159281440074868 \tabularnewline
0.31 & 1.46954570837344 & 0.169380361047382 \tabularnewline
0.32 & 1.50611755640106 & 0.179785014341401 \tabularnewline
0.33 & 1.54450147040327 & 0.190109815496108 \tabularnewline
0.34 & 1.58463078528569 & 0.199906160816238 \tabularnewline
0.35 & 1.62633990538965 & 0.208653158500763 \tabularnewline
0.36 & 1.66936236073124 & 0.215793603014873 \tabularnewline
0.37 & 1.7133366597805 & 0.22079915750238 \tabularnewline
0.38 & 1.75782411910838 & 0.223250375944767 \tabularnewline
0.39 & 1.80234044247105 & 0.222944613256448 \tabularnewline
0.4 & 1.8463991775532 & 0.219950306570995 \tabularnewline
0.41 & 1.88956151961927 & 0.214631500816576 \tabularnewline
0.42 & 1.9314844470791 & 0.207626874584345 \tabularnewline
0.43 & 1.97195861479391 & 0.199769802234245 \tabularnewline
0.44 & 2.01092891280858 & 0.19197567979073 \tabularnewline
0.45 & 2.0484936578793 & 0.185115816483198 \tabularnewline
0.46 & 2.08488221772645 & 0.179881944774596 \tabularnewline
0.47 & 2.1204146168386 & 0.176694407114857 \tabularnewline
0.48 & 2.15544965021894 & 0.175621909822229 \tabularnewline
0.49 & 2.19032980984865 & 0.176383067641299 \tabularnewline
0.5 & 2.22533171937015 & 0.178417461983509 \tabularnewline
0.51 & 2.26062976384663 & 0.181001868873675 \tabularnewline
0.52 & 2.29627832335441 & 0.183371106063401 \tabularnewline
0.53 & 2.33221476165135 & 0.184861406543143 \tabularnewline
0.54 & 2.3682815750692 & 0.185020997966018 \tabularnewline
0.55 & 2.40426256057969 & 0.183639544948408 \tabularnewline
0.56 & 2.43992529949832 & 0.180791188443361 \tabularnewline
0.57 & 2.47506134918034 & 0.17677530394601 \tabularnewline
0.58 & 2.50951661132483 & 0.172025755155795 \tabularnewline
0.59 & 2.54320719468344 & 0.167032426066904 \tabularnewline
0.6 & 2.57611996322732 & 0.16220932207943 \tabularnewline
0.61 & 2.6083007591005 & 0.157832655491171 \tabularnewline
0.62 & 2.63983590945503 & 0.154035166138193 \tabularnewline
0.63 & 2.67083333764023 & 0.150809195120425 \tabularnewline
0.64 & 2.70140830923109 & 0.148094598621303 \tabularnewline
0.65 & 2.73167613470306 & 0.145827423404129 \tabularnewline
0.66 & 2.7617510714286 & 0.143987833853306 \tabularnewline
0.67 & 2.79174834637244 & 0.142604262932432 \tabularnewline
0.68 & 2.82178544796112 & 0.141727726017254 \tabularnewline
0.69 & 2.85197977207698 & 0.141377545908096 \tabularnewline
0.7 & 2.88244183245173 & 0.14150459045682 \tabularnewline
0.71 & 2.91326557409276 & 0.141988554655565 \tabularnewline
0.72 & 2.94451882293028 & 0.142636628768238 \tabularnewline
0.73 & 2.97623694016168 & 0.143240154381842 \tabularnewline
0.74 & 3.00842143617737 & 0.143610417492797 \tabularnewline
0.75 & 3.0410435083191 & 0.143614989524511 \tabularnewline
0.76 & 3.07405148998835 & 0.143184161715691 \tabularnewline
0.77 & 3.10738211109329 & 0.14229054014194 \tabularnewline
0.78 & 3.14097843599422 & 0.140955527023121 \tabularnewline
0.79 & 3.17482119872386 & 0.139268942786994 \tabularnewline
0.8 & 3.20898267487852 & 0.137502281649363 \tabularnewline
0.81 & 3.24371065484034 & 0.136231621008364 \tabularnewline
0.82 & 3.27954317974533 & 0.136541235931786 \tabularnewline
0.83 & 3.31744372214371 & 0.140087522900492 \tabularnewline
0.84 & 3.35893541603632 & 0.149013561679905 \tabularnewline
0.85 & 3.40620619089216 & 0.165569322038642 \tabularnewline
0.86 & 3.46215430385364 & 0.191590049563825 \tabularnewline
0.87 & 3.53033712183052 & 0.228128059187999 \tabularnewline
0.88 & 3.61476093719652 & 0.275239789120709 \tabularnewline
0.89 & 3.71940500984306 & 0.331465894694876 \tabularnewline
0.9 & 3.84735030171193 & 0.392658028243174 \tabularnewline
0.91 & 3.99947573649699 & 0.450501564636772 \tabularnewline
0.92 & 4.17297662796447 & 0.492215171712792 \tabularnewline
0.93 & 4.36038557022201 & 0.503325891461713 \tabularnewline
0.94 & 4.55001394104139 & 0.473836045865273 \tabularnewline
0.95 & 4.72835623277954 & 0.404949223423431 \tabularnewline
0.96 & 4.88393747242539 & 0.311133747051179 \tabularnewline
0.97 & 5.01086338815531 & 0.214421344030051 \tabularnewline
0.98 & 5.10943675014232 & 0.135239686898916 \tabularnewline
0.99 & 5.18105079956441 & 0.0893221649161679 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238780&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]-0.634071416772373[/C][C]0.0628991906008053[/C][/ROW]
[ROW][C]0.02[/C][C]-0.579443980778186[/C][C]0.118377558872476[/C][/ROW]
[ROW][C]0.03[/C][C]-0.501558561398363[/C][C]0.168421428007863[/C][/ROW]
[ROW][C]0.04[/C][C]-0.409753023338779[/C][C]0.195540694313892[/C][/ROW]
[ROW][C]0.05[/C][C]-0.312152131829744[/C][C]0.213348181719914[/C][/ROW]
[ROW][C]0.06[/C][C]-0.211293994677825[/C][C]0.244051212500955[/C][/ROW]
[ROW][C]0.07[/C][C]-0.10447058671149[/C][C]0.29485098793883[/C][/ROW]
[ROW][C]0.08[/C][C]0.0123040832249524[/C][C]0.355406685063485[/C][/ROW]
[ROW][C]0.09[/C][C]0.140395785413558[/C][C]0.408980606179362[/C][/ROW]
[ROW][C]0.1[/C][C]0.276971012188639[/C][C]0.44122660376168[/C][/ROW]
[ROW][C]0.11[/C][C]0.415810732277731[/C][C]0.444785278135556[/C][/ROW]
[ROW][C]0.12[/C][C]0.549438945223471[/C][C]0.420540080401744[/C][/ROW]
[ROW][C]0.13[/C][C]0.6713376918972[/C][C]0.375908841589025[/C][/ROW]
[ROW][C]0.14[/C][C]0.777407145470754[/C][C]0.321389547137844[/C][/ROW]
[ROW][C]0.15[/C][C]0.866381149351571[/C][C]0.267041035162613[/C][/ROW]
[ROW][C]0.16[/C][C]0.93937313154501[/C][C]0.220107354142241[/C][/ROW]
[ROW][C]0.17[/C][C]0.99896683647406[/C][C]0.184138088405333[/C][/ROW]
[ROW][C]0.18[/C][C]1.04827050298028[/C][C]0.159323166292883[/C][/ROW]
[ROW][C]0.19[/C][C]1.09020847112186[/C][C]0.143618026608424[/C][/ROW]
[ROW][C]0.2[/C][C]1.12714389336266[/C][C]0.134204400987245[/C][/ROW]
[ROW][C]0.21[/C][C]1.16079051241313[/C][C]0.12865300891267[/C][/ROW]
[ROW][C]0.22[/C][C]1.19230789722421[/C][C]0.12543214448568[/C][/ROW]
[ROW][C]0.23[/C][C]1.22247123274096[/C][C]0.123867590321415[/C][/ROW]
[ROW][C]0.24[/C][C]1.2518364871826[/C][C]0.123855194715443[/C][/ROW]
[ROW][C]0.25[/C][C]1.28085987649333[/C][C]0.125543681755644[/C][/ROW]
[ROW][C]0.26[/C][C]1.30996212841738[/C][C]0.129067458216635[/C][/ROW]
[ROW][C]0.27[/C][C]1.33954753118955[/C][C]0.134429767581117[/C][/ROW]
[ROW][C]0.28[/C][C]1.36999549440645[/C][C]0.141455078912756[/C][/ROW]
[ROW][C]0.29[/C][C]1.40164150394714[/C][C]0.149855038918838[/C][/ROW]
[ROW][C]0.3[/C][C]1.43475883018725[/C][C]0.159281440074868[/C][/ROW]
[ROW][C]0.31[/C][C]1.46954570837344[/C][C]0.169380361047382[/C][/ROW]
[ROW][C]0.32[/C][C]1.50611755640106[/C][C]0.179785014341401[/C][/ROW]
[ROW][C]0.33[/C][C]1.54450147040327[/C][C]0.190109815496108[/C][/ROW]
[ROW][C]0.34[/C][C]1.58463078528569[/C][C]0.199906160816238[/C][/ROW]
[ROW][C]0.35[/C][C]1.62633990538965[/C][C]0.208653158500763[/C][/ROW]
[ROW][C]0.36[/C][C]1.66936236073124[/C][C]0.215793603014873[/C][/ROW]
[ROW][C]0.37[/C][C]1.7133366597805[/C][C]0.22079915750238[/C][/ROW]
[ROW][C]0.38[/C][C]1.75782411910838[/C][C]0.223250375944767[/C][/ROW]
[ROW][C]0.39[/C][C]1.80234044247105[/C][C]0.222944613256448[/C][/ROW]
[ROW][C]0.4[/C][C]1.8463991775532[/C][C]0.219950306570995[/C][/ROW]
[ROW][C]0.41[/C][C]1.88956151961927[/C][C]0.214631500816576[/C][/ROW]
[ROW][C]0.42[/C][C]1.9314844470791[/C][C]0.207626874584345[/C][/ROW]
[ROW][C]0.43[/C][C]1.97195861479391[/C][C]0.199769802234245[/C][/ROW]
[ROW][C]0.44[/C][C]2.01092891280858[/C][C]0.19197567979073[/C][/ROW]
[ROW][C]0.45[/C][C]2.0484936578793[/C][C]0.185115816483198[/C][/ROW]
[ROW][C]0.46[/C][C]2.08488221772645[/C][C]0.179881944774596[/C][/ROW]
[ROW][C]0.47[/C][C]2.1204146168386[/C][C]0.176694407114857[/C][/ROW]
[ROW][C]0.48[/C][C]2.15544965021894[/C][C]0.175621909822229[/C][/ROW]
[ROW][C]0.49[/C][C]2.19032980984865[/C][C]0.176383067641299[/C][/ROW]
[ROW][C]0.5[/C][C]2.22533171937015[/C][C]0.178417461983509[/C][/ROW]
[ROW][C]0.51[/C][C]2.26062976384663[/C][C]0.181001868873675[/C][/ROW]
[ROW][C]0.52[/C][C]2.29627832335441[/C][C]0.183371106063401[/C][/ROW]
[ROW][C]0.53[/C][C]2.33221476165135[/C][C]0.184861406543143[/C][/ROW]
[ROW][C]0.54[/C][C]2.3682815750692[/C][C]0.185020997966018[/C][/ROW]
[ROW][C]0.55[/C][C]2.40426256057969[/C][C]0.183639544948408[/C][/ROW]
[ROW][C]0.56[/C][C]2.43992529949832[/C][C]0.180791188443361[/C][/ROW]
[ROW][C]0.57[/C][C]2.47506134918034[/C][C]0.17677530394601[/C][/ROW]
[ROW][C]0.58[/C][C]2.50951661132483[/C][C]0.172025755155795[/C][/ROW]
[ROW][C]0.59[/C][C]2.54320719468344[/C][C]0.167032426066904[/C][/ROW]
[ROW][C]0.6[/C][C]2.57611996322732[/C][C]0.16220932207943[/C][/ROW]
[ROW][C]0.61[/C][C]2.6083007591005[/C][C]0.157832655491171[/C][/ROW]
[ROW][C]0.62[/C][C]2.63983590945503[/C][C]0.154035166138193[/C][/ROW]
[ROW][C]0.63[/C][C]2.67083333764023[/C][C]0.150809195120425[/C][/ROW]
[ROW][C]0.64[/C][C]2.70140830923109[/C][C]0.148094598621303[/C][/ROW]
[ROW][C]0.65[/C][C]2.73167613470306[/C][C]0.145827423404129[/C][/ROW]
[ROW][C]0.66[/C][C]2.7617510714286[/C][C]0.143987833853306[/C][/ROW]
[ROW][C]0.67[/C][C]2.79174834637244[/C][C]0.142604262932432[/C][/ROW]
[ROW][C]0.68[/C][C]2.82178544796112[/C][C]0.141727726017254[/C][/ROW]
[ROW][C]0.69[/C][C]2.85197977207698[/C][C]0.141377545908096[/C][/ROW]
[ROW][C]0.7[/C][C]2.88244183245173[/C][C]0.14150459045682[/C][/ROW]
[ROW][C]0.71[/C][C]2.91326557409276[/C][C]0.141988554655565[/C][/ROW]
[ROW][C]0.72[/C][C]2.94451882293028[/C][C]0.142636628768238[/C][/ROW]
[ROW][C]0.73[/C][C]2.97623694016168[/C][C]0.143240154381842[/C][/ROW]
[ROW][C]0.74[/C][C]3.00842143617737[/C][C]0.143610417492797[/C][/ROW]
[ROW][C]0.75[/C][C]3.0410435083191[/C][C]0.143614989524511[/C][/ROW]
[ROW][C]0.76[/C][C]3.07405148998835[/C][C]0.143184161715691[/C][/ROW]
[ROW][C]0.77[/C][C]3.10738211109329[/C][C]0.14229054014194[/C][/ROW]
[ROW][C]0.78[/C][C]3.14097843599422[/C][C]0.140955527023121[/C][/ROW]
[ROW][C]0.79[/C][C]3.17482119872386[/C][C]0.139268942786994[/C][/ROW]
[ROW][C]0.8[/C][C]3.20898267487852[/C][C]0.137502281649363[/C][/ROW]
[ROW][C]0.81[/C][C]3.24371065484034[/C][C]0.136231621008364[/C][/ROW]
[ROW][C]0.82[/C][C]3.27954317974533[/C][C]0.136541235931786[/C][/ROW]
[ROW][C]0.83[/C][C]3.31744372214371[/C][C]0.140087522900492[/C][/ROW]
[ROW][C]0.84[/C][C]3.35893541603632[/C][C]0.149013561679905[/C][/ROW]
[ROW][C]0.85[/C][C]3.40620619089216[/C][C]0.165569322038642[/C][/ROW]
[ROW][C]0.86[/C][C]3.46215430385364[/C][C]0.191590049563825[/C][/ROW]
[ROW][C]0.87[/C][C]3.53033712183052[/C][C]0.228128059187999[/C][/ROW]
[ROW][C]0.88[/C][C]3.61476093719652[/C][C]0.275239789120709[/C][/ROW]
[ROW][C]0.89[/C][C]3.71940500984306[/C][C]0.331465894694876[/C][/ROW]
[ROW][C]0.9[/C][C]3.84735030171193[/C][C]0.392658028243174[/C][/ROW]
[ROW][C]0.91[/C][C]3.99947573649699[/C][C]0.450501564636772[/C][/ROW]
[ROW][C]0.92[/C][C]4.17297662796447[/C][C]0.492215171712792[/C][/ROW]
[ROW][C]0.93[/C][C]4.36038557022201[/C][C]0.503325891461713[/C][/ROW]
[ROW][C]0.94[/C][C]4.55001394104139[/C][C]0.473836045865273[/C][/ROW]
[ROW][C]0.95[/C][C]4.72835623277954[/C][C]0.404949223423431[/C][/ROW]
[ROW][C]0.96[/C][C]4.88393747242539[/C][C]0.311133747051179[/C][/ROW]
[ROW][C]0.97[/C][C]5.01086338815531[/C][C]0.214421344030051[/C][/ROW]
[ROW][C]0.98[/C][C]5.10943675014232[/C][C]0.135239686898916[/C][/ROW]
[ROW][C]0.99[/C][C]5.18105079956441[/C][C]0.0893221649161679[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238780&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238780&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.6340714167723730.0628991906008053
0.02-0.5794439807781860.118377558872476
0.03-0.5015585613983630.168421428007863
0.04-0.4097530233387790.195540694313892
0.05-0.3121521318297440.213348181719914
0.06-0.2112939946778250.244051212500955
0.07-0.104470586711490.29485098793883
0.080.01230408322495240.355406685063485
0.090.1403957854135580.408980606179362
0.10.2769710121886390.44122660376168
0.110.4158107322777310.444785278135556
0.120.5494389452234710.420540080401744
0.130.67133769189720.375908841589025
0.140.7774071454707540.321389547137844
0.150.8663811493515710.267041035162613
0.160.939373131545010.220107354142241
0.170.998966836474060.184138088405333
0.181.048270502980280.159323166292883
0.191.090208471121860.143618026608424
0.21.127143893362660.134204400987245
0.211.160790512413130.12865300891267
0.221.192307897224210.12543214448568
0.231.222471232740960.123867590321415
0.241.25183648718260.123855194715443
0.251.280859876493330.125543681755644
0.261.309962128417380.129067458216635
0.271.339547531189550.134429767581117
0.281.369995494406450.141455078912756
0.291.401641503947140.149855038918838
0.31.434758830187250.159281440074868
0.311.469545708373440.169380361047382
0.321.506117556401060.179785014341401
0.331.544501470403270.190109815496108
0.341.584630785285690.199906160816238
0.351.626339905389650.208653158500763
0.361.669362360731240.215793603014873
0.371.71333665978050.22079915750238
0.381.757824119108380.223250375944767
0.391.802340442471050.222944613256448
0.41.84639917755320.219950306570995
0.411.889561519619270.214631500816576
0.421.93148444707910.207626874584345
0.431.971958614793910.199769802234245
0.442.010928912808580.19197567979073
0.452.04849365787930.185115816483198
0.462.084882217726450.179881944774596
0.472.12041461683860.176694407114857
0.482.155449650218940.175621909822229
0.492.190329809848650.176383067641299
0.52.225331719370150.178417461983509
0.512.260629763846630.181001868873675
0.522.296278323354410.183371106063401
0.532.332214761651350.184861406543143
0.542.36828157506920.185020997966018
0.552.404262560579690.183639544948408
0.562.439925299498320.180791188443361
0.572.475061349180340.17677530394601
0.582.509516611324830.172025755155795
0.592.543207194683440.167032426066904
0.62.576119963227320.16220932207943
0.612.60830075910050.157832655491171
0.622.639835909455030.154035166138193
0.632.670833337640230.150809195120425
0.642.701408309231090.148094598621303
0.652.731676134703060.145827423404129
0.662.76175107142860.143987833853306
0.672.791748346372440.142604262932432
0.682.821785447961120.141727726017254
0.692.851979772076980.141377545908096
0.72.882441832451730.14150459045682
0.712.913265574092760.141988554655565
0.722.944518822930280.142636628768238
0.732.976236940161680.143240154381842
0.743.008421436177370.143610417492797
0.753.04104350831910.143614989524511
0.763.074051489988350.143184161715691
0.773.107382111093290.14229054014194
0.783.140978435994220.140955527023121
0.793.174821198723860.139268942786994
0.83.208982674878520.137502281649363
0.813.243710654840340.136231621008364
0.823.279543179745330.136541235931786
0.833.317443722143710.140087522900492
0.843.358935416036320.149013561679905
0.853.406206190892160.165569322038642
0.863.462154303853640.191590049563825
0.873.530337121830520.228128059187999
0.883.614760937196520.275239789120709
0.893.719405009843060.331465894694876
0.93.847350301711930.392658028243174
0.913.999475736496990.450501564636772
0.924.172976627964470.492215171712792
0.934.360385570222010.503325891461713
0.944.550013941041390.473836045865273
0.954.728356232779540.404949223423431
0.964.883937472425390.311133747051179
0.975.010863388155310.214421344030051
0.985.109436750142320.135239686898916
0.995.181050799564410.0893221649161679



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')