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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 27 May 2015 07:34:51 +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/2015/May/27/t1432708514v70k87h3ho7sa6q.htm/, Retrieved Sat, 04 May 2024 15:37:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279454, Retrieved Sat, 04 May 2024 15:37:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen gezo...] [2015-05-27 06:34:51] [0d8529ada52922935dd1fcf0fb375c74] [Current]
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Dataseries X:
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
1,25
1,17
1,02
0,67
0,26
0,14
0,22
0,02
0,03
0,1
-0,01
-0,01




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279454&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279454&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279454&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'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.6341199293378150.0627636325330184
0.02-0.5798877372288660.117173563773851
0.03-0.5037502886611390.162964888620313
0.04-0.4173631302975860.177844287606614
0.05-0.3328135107014530.167814070368497
0.06-0.257787388260920.148871009335306
0.07-0.1944719838608010.131587471799488
0.08-0.1415516981596330.118756067020576
0.09-0.09650797304259250.110093945457204
0.1-0.05680125886355420.105842351867054
0.11-0.0200977429222460.107318891002599
0.120.01584426855462930.116055726482197
0.130.05324129259048130.132883853576303
0.140.09420649656533860.1575176098719
0.150.1405648614682860.18852979955955
0.160.193627246267460.223432469387894
0.170.2539834662132670.258864665667511
0.180.321368696353370.290997123538519
0.190.3946484102961630.316146789178845
0.20.4719451095825850.331454003092505
0.210.5508955303975920.335424718661977
0.220.6289909246120620.328184029897098
0.230.7039297311690320.311377824769739
0.240.7739105130078420.28777407669328
0.250.83781290472920.260699891085428
0.260.8952467251171020.233459291079885
0.270.9464822966489650.208864551990258
0.280.9922983920945610.18894130690221
0.291.033793419140420.174790089926252
0.31.072201410381810.166639057444492
0.311.108741813324760.164023613875406
0.321.14451677381020.166068040885587
0.331.180456283368710.171783380146398
0.341.217302740263220.180255656036768
0.351.25562250786920.19073070374349
0.361.295831848890170.202631276110277
0.371.338226573825660.215532292605948
0.381.3830075295830.22911683586394
0.391.430296950440720.243113970537161
0.41.480143541223360.257221752739324
0.411.532517032342310.271052561922182
0.421.587295758615540.284097935255321
0.431.644253133116560.295723914400069
0.441.703050007496260.305242134835197
0.451.763239190150140.31200493300008
0.461.824285666655630.315530112535642
0.471.885601893390050.315599239793603
0.481.946593131893460.312305196253998
0.492.006704627349740.306042580791779
0.52.06546165287910.297427419397837
0.512.122495367702090.287169735265813
0.522.177551407428210.275963274156993
0.532.230482727038690.264358396723661
0.542.281231853300220.252746759466553
0.552.329809225223210.241356348749236
0.562.376273445633940.230315407826207
0.572.420716704640330.219719514096971
0.582.463255625388450.209664548282746
0.592.50402559708620.200272774372806
0.62.543176047374370.191648781467512
0.612.580865016653250.183846800552842
0.622.617253086825360.176873319769904
0.632.652498153742210.170655257911829
0.642.686752906463280.165118291996646
0.652.720165976204110.160199167509619
0.662.752886008023690.155894613165409
0.672.785066282444310.152250366510292
0.682.816866849656280.149344772707765
0.692.848451862771650.147221652783488
0.72.879981664052880.145849437398005
0.712.911601369813220.145111219211102
0.722.943429203491980.144801999928343
0.732.975547941720490.144686765919118
0.743.0080015756940.144538895442331
0.753.040797459934370.144187420011045
0.763.073913113872520.143520002291503
0.773.107307582194080.142479530794454
0.783.140940074217060.141056740366223
0.793.174802368888220.139321312343082
0.83.208973880767280.137526225259963
0.813.243706756298950.136243336736058
0.823.279541543424560.136546779892289
0.833.317443073681730.14008956702853
0.843.358935174144660.149014243089173
0.853.406206106248520.165569241939576
0.863.462154276175920.191590044702706
0.873.530337113410460.228128049157389
0.883.61476093482550.275239789120709
0.893.719405009228750.331465894694876
0.93.847350301566520.392658028243174
0.913.999475736465810.450501564636772
0.924.172976627958480.492215171712792
0.934.360385570220990.503325891461713
0.944.550013941041240.473836045865273
0.954.728356232779520.404949223423431
0.964.883937472425380.311133747051179
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 & -0.634119929337815 & 0.0627636325330184 \tabularnewline
0.02 & -0.579887737228866 & 0.117173563773851 \tabularnewline
0.03 & -0.503750288661139 & 0.162964888620313 \tabularnewline
0.04 & -0.417363130297586 & 0.177844287606614 \tabularnewline
0.05 & -0.332813510701453 & 0.167814070368497 \tabularnewline
0.06 & -0.25778738826092 & 0.148871009335306 \tabularnewline
0.07 & -0.194471983860801 & 0.131587471799488 \tabularnewline
0.08 & -0.141551698159633 & 0.118756067020576 \tabularnewline
0.09 & -0.0965079730425925 & 0.110093945457204 \tabularnewline
0.1 & -0.0568012588635542 & 0.105842351867054 \tabularnewline
0.11 & -0.020097742922246 & 0.107318891002599 \tabularnewline
0.12 & 0.0158442685546293 & 0.116055726482197 \tabularnewline
0.13 & 0.0532412925904813 & 0.132883853576303 \tabularnewline
0.14 & 0.0942064965653386 & 0.1575176098719 \tabularnewline
0.15 & 0.140564861468286 & 0.18852979955955 \tabularnewline
0.16 & 0.19362724626746 & 0.223432469387894 \tabularnewline
0.17 & 0.253983466213267 & 0.258864665667511 \tabularnewline
0.18 & 0.32136869635337 & 0.290997123538519 \tabularnewline
0.19 & 0.394648410296163 & 0.316146789178845 \tabularnewline
0.2 & 0.471945109582585 & 0.331454003092505 \tabularnewline
0.21 & 0.550895530397592 & 0.335424718661977 \tabularnewline
0.22 & 0.628990924612062 & 0.328184029897098 \tabularnewline
0.23 & 0.703929731169032 & 0.311377824769739 \tabularnewline
0.24 & 0.773910513007842 & 0.28777407669328 \tabularnewline
0.25 & 0.8378129047292 & 0.260699891085428 \tabularnewline
0.26 & 0.895246725117102 & 0.233459291079885 \tabularnewline
0.27 & 0.946482296648965 & 0.208864551990258 \tabularnewline
0.28 & 0.992298392094561 & 0.18894130690221 \tabularnewline
0.29 & 1.03379341914042 & 0.174790089926252 \tabularnewline
0.3 & 1.07220141038181 & 0.166639057444492 \tabularnewline
0.31 & 1.10874181332476 & 0.164023613875406 \tabularnewline
0.32 & 1.1445167738102 & 0.166068040885587 \tabularnewline
0.33 & 1.18045628336871 & 0.171783380146398 \tabularnewline
0.34 & 1.21730274026322 & 0.180255656036768 \tabularnewline
0.35 & 1.2556225078692 & 0.19073070374349 \tabularnewline
0.36 & 1.29583184889017 & 0.202631276110277 \tabularnewline
0.37 & 1.33822657382566 & 0.215532292605948 \tabularnewline
0.38 & 1.383007529583 & 0.22911683586394 \tabularnewline
0.39 & 1.43029695044072 & 0.243113970537161 \tabularnewline
0.4 & 1.48014354122336 & 0.257221752739324 \tabularnewline
0.41 & 1.53251703234231 & 0.271052561922182 \tabularnewline
0.42 & 1.58729575861554 & 0.284097935255321 \tabularnewline
0.43 & 1.64425313311656 & 0.295723914400069 \tabularnewline
0.44 & 1.70305000749626 & 0.305242134835197 \tabularnewline
0.45 & 1.76323919015014 & 0.31200493300008 \tabularnewline
0.46 & 1.82428566665563 & 0.315530112535642 \tabularnewline
0.47 & 1.88560189339005 & 0.315599239793603 \tabularnewline
0.48 & 1.94659313189346 & 0.312305196253998 \tabularnewline
0.49 & 2.00670462734974 & 0.306042580791779 \tabularnewline
0.5 & 2.0654616528791 & 0.297427419397837 \tabularnewline
0.51 & 2.12249536770209 & 0.287169735265813 \tabularnewline
0.52 & 2.17755140742821 & 0.275963274156993 \tabularnewline
0.53 & 2.23048272703869 & 0.264358396723661 \tabularnewline
0.54 & 2.28123185330022 & 0.252746759466553 \tabularnewline
0.55 & 2.32980922522321 & 0.241356348749236 \tabularnewline
0.56 & 2.37627344563394 & 0.230315407826207 \tabularnewline
0.57 & 2.42071670464033 & 0.219719514096971 \tabularnewline
0.58 & 2.46325562538845 & 0.209664548282746 \tabularnewline
0.59 & 2.5040255970862 & 0.200272774372806 \tabularnewline
0.6 & 2.54317604737437 & 0.191648781467512 \tabularnewline
0.61 & 2.58086501665325 & 0.183846800552842 \tabularnewline
0.62 & 2.61725308682536 & 0.176873319769904 \tabularnewline
0.63 & 2.65249815374221 & 0.170655257911829 \tabularnewline
0.64 & 2.68675290646328 & 0.165118291996646 \tabularnewline
0.65 & 2.72016597620411 & 0.160199167509619 \tabularnewline
0.66 & 2.75288600802369 & 0.155894613165409 \tabularnewline
0.67 & 2.78506628244431 & 0.152250366510292 \tabularnewline
0.68 & 2.81686684965628 & 0.149344772707765 \tabularnewline
0.69 & 2.84845186277165 & 0.147221652783488 \tabularnewline
0.7 & 2.87998166405288 & 0.145849437398005 \tabularnewline
0.71 & 2.91160136981322 & 0.145111219211102 \tabularnewline
0.72 & 2.94342920349198 & 0.144801999928343 \tabularnewline
0.73 & 2.97554794172049 & 0.144686765919118 \tabularnewline
0.74 & 3.008001575694 & 0.144538895442331 \tabularnewline
0.75 & 3.04079745993437 & 0.144187420011045 \tabularnewline
0.76 & 3.07391311387252 & 0.143520002291503 \tabularnewline
0.77 & 3.10730758219408 & 0.142479530794454 \tabularnewline
0.78 & 3.14094007421706 & 0.141056740366223 \tabularnewline
0.79 & 3.17480236888822 & 0.139321312343082 \tabularnewline
0.8 & 3.20897388076728 & 0.137526225259963 \tabularnewline
0.81 & 3.24370675629895 & 0.136243336736058 \tabularnewline
0.82 & 3.27954154342456 & 0.136546779892289 \tabularnewline
0.83 & 3.31744307368173 & 0.14008956702853 \tabularnewline
0.84 & 3.35893517414466 & 0.149014243089173 \tabularnewline
0.85 & 3.40620610624852 & 0.165569241939576 \tabularnewline
0.86 & 3.46215427617592 & 0.191590044702706 \tabularnewline
0.87 & 3.53033711341046 & 0.228128049157389 \tabularnewline
0.88 & 3.6147609348255 & 0.275239789120709 \tabularnewline
0.89 & 3.71940500922875 & 0.331465894694876 \tabularnewline
0.9 & 3.84735030156652 & 0.392658028243174 \tabularnewline
0.91 & 3.99947573646581 & 0.450501564636772 \tabularnewline
0.92 & 4.17297662795848 & 0.492215171712792 \tabularnewline
0.93 & 4.36038557022099 & 0.503325891461713 \tabularnewline
0.94 & 4.55001394104124 & 0.473836045865273 \tabularnewline
0.95 & 4.72835623277952 & 0.404949223423431 \tabularnewline
0.96 & 4.88393747242538 & 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=279454&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]-0.634119929337815[/C][C]0.0627636325330184[/C][/ROW]
[ROW][C]0.02[/C][C]-0.579887737228866[/C][C]0.117173563773851[/C][/ROW]
[ROW][C]0.03[/C][C]-0.503750288661139[/C][C]0.162964888620313[/C][/ROW]
[ROW][C]0.04[/C][C]-0.417363130297586[/C][C]0.177844287606614[/C][/ROW]
[ROW][C]0.05[/C][C]-0.332813510701453[/C][C]0.167814070368497[/C][/ROW]
[ROW][C]0.06[/C][C]-0.25778738826092[/C][C]0.148871009335306[/C][/ROW]
[ROW][C]0.07[/C][C]-0.194471983860801[/C][C]0.131587471799488[/C][/ROW]
[ROW][C]0.08[/C][C]-0.141551698159633[/C][C]0.118756067020576[/C][/ROW]
[ROW][C]0.09[/C][C]-0.0965079730425925[/C][C]0.110093945457204[/C][/ROW]
[ROW][C]0.1[/C][C]-0.0568012588635542[/C][C]0.105842351867054[/C][/ROW]
[ROW][C]0.11[/C][C]-0.020097742922246[/C][C]0.107318891002599[/C][/ROW]
[ROW][C]0.12[/C][C]0.0158442685546293[/C][C]0.116055726482197[/C][/ROW]
[ROW][C]0.13[/C][C]0.0532412925904813[/C][C]0.132883853576303[/C][/ROW]
[ROW][C]0.14[/C][C]0.0942064965653386[/C][C]0.1575176098719[/C][/ROW]
[ROW][C]0.15[/C][C]0.140564861468286[/C][C]0.18852979955955[/C][/ROW]
[ROW][C]0.16[/C][C]0.19362724626746[/C][C]0.223432469387894[/C][/ROW]
[ROW][C]0.17[/C][C]0.253983466213267[/C][C]0.258864665667511[/C][/ROW]
[ROW][C]0.18[/C][C]0.32136869635337[/C][C]0.290997123538519[/C][/ROW]
[ROW][C]0.19[/C][C]0.394648410296163[/C][C]0.316146789178845[/C][/ROW]
[ROW][C]0.2[/C][C]0.471945109582585[/C][C]0.331454003092505[/C][/ROW]
[ROW][C]0.21[/C][C]0.550895530397592[/C][C]0.335424718661977[/C][/ROW]
[ROW][C]0.22[/C][C]0.628990924612062[/C][C]0.328184029897098[/C][/ROW]
[ROW][C]0.23[/C][C]0.703929731169032[/C][C]0.311377824769739[/C][/ROW]
[ROW][C]0.24[/C][C]0.773910513007842[/C][C]0.28777407669328[/C][/ROW]
[ROW][C]0.25[/C][C]0.8378129047292[/C][C]0.260699891085428[/C][/ROW]
[ROW][C]0.26[/C][C]0.895246725117102[/C][C]0.233459291079885[/C][/ROW]
[ROW][C]0.27[/C][C]0.946482296648965[/C][C]0.208864551990258[/C][/ROW]
[ROW][C]0.28[/C][C]0.992298392094561[/C][C]0.18894130690221[/C][/ROW]
[ROW][C]0.29[/C][C]1.03379341914042[/C][C]0.174790089926252[/C][/ROW]
[ROW][C]0.3[/C][C]1.07220141038181[/C][C]0.166639057444492[/C][/ROW]
[ROW][C]0.31[/C][C]1.10874181332476[/C][C]0.164023613875406[/C][/ROW]
[ROW][C]0.32[/C][C]1.1445167738102[/C][C]0.166068040885587[/C][/ROW]
[ROW][C]0.33[/C][C]1.18045628336871[/C][C]0.171783380146398[/C][/ROW]
[ROW][C]0.34[/C][C]1.21730274026322[/C][C]0.180255656036768[/C][/ROW]
[ROW][C]0.35[/C][C]1.2556225078692[/C][C]0.19073070374349[/C][/ROW]
[ROW][C]0.36[/C][C]1.29583184889017[/C][C]0.202631276110277[/C][/ROW]
[ROW][C]0.37[/C][C]1.33822657382566[/C][C]0.215532292605948[/C][/ROW]
[ROW][C]0.38[/C][C]1.383007529583[/C][C]0.22911683586394[/C][/ROW]
[ROW][C]0.39[/C][C]1.43029695044072[/C][C]0.243113970537161[/C][/ROW]
[ROW][C]0.4[/C][C]1.48014354122336[/C][C]0.257221752739324[/C][/ROW]
[ROW][C]0.41[/C][C]1.53251703234231[/C][C]0.271052561922182[/C][/ROW]
[ROW][C]0.42[/C][C]1.58729575861554[/C][C]0.284097935255321[/C][/ROW]
[ROW][C]0.43[/C][C]1.64425313311656[/C][C]0.295723914400069[/C][/ROW]
[ROW][C]0.44[/C][C]1.70305000749626[/C][C]0.305242134835197[/C][/ROW]
[ROW][C]0.45[/C][C]1.76323919015014[/C][C]0.31200493300008[/C][/ROW]
[ROW][C]0.46[/C][C]1.82428566665563[/C][C]0.315530112535642[/C][/ROW]
[ROW][C]0.47[/C][C]1.88560189339005[/C][C]0.315599239793603[/C][/ROW]
[ROW][C]0.48[/C][C]1.94659313189346[/C][C]0.312305196253998[/C][/ROW]
[ROW][C]0.49[/C][C]2.00670462734974[/C][C]0.306042580791779[/C][/ROW]
[ROW][C]0.5[/C][C]2.0654616528791[/C][C]0.297427419397837[/C][/ROW]
[ROW][C]0.51[/C][C]2.12249536770209[/C][C]0.287169735265813[/C][/ROW]
[ROW][C]0.52[/C][C]2.17755140742821[/C][C]0.275963274156993[/C][/ROW]
[ROW][C]0.53[/C][C]2.23048272703869[/C][C]0.264358396723661[/C][/ROW]
[ROW][C]0.54[/C][C]2.28123185330022[/C][C]0.252746759466553[/C][/ROW]
[ROW][C]0.55[/C][C]2.32980922522321[/C][C]0.241356348749236[/C][/ROW]
[ROW][C]0.56[/C][C]2.37627344563394[/C][C]0.230315407826207[/C][/ROW]
[ROW][C]0.57[/C][C]2.42071670464033[/C][C]0.219719514096971[/C][/ROW]
[ROW][C]0.58[/C][C]2.46325562538845[/C][C]0.209664548282746[/C][/ROW]
[ROW][C]0.59[/C][C]2.5040255970862[/C][C]0.200272774372806[/C][/ROW]
[ROW][C]0.6[/C][C]2.54317604737437[/C][C]0.191648781467512[/C][/ROW]
[ROW][C]0.61[/C][C]2.58086501665325[/C][C]0.183846800552842[/C][/ROW]
[ROW][C]0.62[/C][C]2.61725308682536[/C][C]0.176873319769904[/C][/ROW]
[ROW][C]0.63[/C][C]2.65249815374221[/C][C]0.170655257911829[/C][/ROW]
[ROW][C]0.64[/C][C]2.68675290646328[/C][C]0.165118291996646[/C][/ROW]
[ROW][C]0.65[/C][C]2.72016597620411[/C][C]0.160199167509619[/C][/ROW]
[ROW][C]0.66[/C][C]2.75288600802369[/C][C]0.155894613165409[/C][/ROW]
[ROW][C]0.67[/C][C]2.78506628244431[/C][C]0.152250366510292[/C][/ROW]
[ROW][C]0.68[/C][C]2.81686684965628[/C][C]0.149344772707765[/C][/ROW]
[ROW][C]0.69[/C][C]2.84845186277165[/C][C]0.147221652783488[/C][/ROW]
[ROW][C]0.7[/C][C]2.87998166405288[/C][C]0.145849437398005[/C][/ROW]
[ROW][C]0.71[/C][C]2.91160136981322[/C][C]0.145111219211102[/C][/ROW]
[ROW][C]0.72[/C][C]2.94342920349198[/C][C]0.144801999928343[/C][/ROW]
[ROW][C]0.73[/C][C]2.97554794172049[/C][C]0.144686765919118[/C][/ROW]
[ROW][C]0.74[/C][C]3.008001575694[/C][C]0.144538895442331[/C][/ROW]
[ROW][C]0.75[/C][C]3.04079745993437[/C][C]0.144187420011045[/C][/ROW]
[ROW][C]0.76[/C][C]3.07391311387252[/C][C]0.143520002291503[/C][/ROW]
[ROW][C]0.77[/C][C]3.10730758219408[/C][C]0.142479530794454[/C][/ROW]
[ROW][C]0.78[/C][C]3.14094007421706[/C][C]0.141056740366223[/C][/ROW]
[ROW][C]0.79[/C][C]3.17480236888822[/C][C]0.139321312343082[/C][/ROW]
[ROW][C]0.8[/C][C]3.20897388076728[/C][C]0.137526225259963[/C][/ROW]
[ROW][C]0.81[/C][C]3.24370675629895[/C][C]0.136243336736058[/C][/ROW]
[ROW][C]0.82[/C][C]3.27954154342456[/C][C]0.136546779892289[/C][/ROW]
[ROW][C]0.83[/C][C]3.31744307368173[/C][C]0.14008956702853[/C][/ROW]
[ROW][C]0.84[/C][C]3.35893517414466[/C][C]0.149014243089173[/C][/ROW]
[ROW][C]0.85[/C][C]3.40620610624852[/C][C]0.165569241939576[/C][/ROW]
[ROW][C]0.86[/C][C]3.46215427617592[/C][C]0.191590044702706[/C][/ROW]
[ROW][C]0.87[/C][C]3.53033711341046[/C][C]0.228128049157389[/C][/ROW]
[ROW][C]0.88[/C][C]3.6147609348255[/C][C]0.275239789120709[/C][/ROW]
[ROW][C]0.89[/C][C]3.71940500922875[/C][C]0.331465894694876[/C][/ROW]
[ROW][C]0.9[/C][C]3.84735030156652[/C][C]0.392658028243174[/C][/ROW]
[ROW][C]0.91[/C][C]3.99947573646581[/C][C]0.450501564636772[/C][/ROW]
[ROW][C]0.92[/C][C]4.17297662795848[/C][C]0.492215171712792[/C][/ROW]
[ROW][C]0.93[/C][C]4.36038557022099[/C][C]0.503325891461713[/C][/ROW]
[ROW][C]0.94[/C][C]4.55001394104124[/C][C]0.473836045865273[/C][/ROW]
[ROW][C]0.95[/C][C]4.72835623277952[/C][C]0.404949223423431[/C][/ROW]
[ROW][C]0.96[/C][C]4.88393747242538[/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=279454&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279454&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
0.01-0.6341199293378150.0627636325330184
0.02-0.5798877372288660.117173563773851
0.03-0.5037502886611390.162964888620313
0.04-0.4173631302975860.177844287606614
0.05-0.3328135107014530.167814070368497
0.06-0.257787388260920.148871009335306
0.07-0.1944719838608010.131587471799488
0.08-0.1415516981596330.118756067020576
0.09-0.09650797304259250.110093945457204
0.1-0.05680125886355420.105842351867054
0.11-0.0200977429222460.107318891002599
0.120.01584426855462930.116055726482197
0.130.05324129259048130.132883853576303
0.140.09420649656533860.1575176098719
0.150.1405648614682860.18852979955955
0.160.193627246267460.223432469387894
0.170.2539834662132670.258864665667511
0.180.321368696353370.290997123538519
0.190.3946484102961630.316146789178845
0.20.4719451095825850.331454003092505
0.210.5508955303975920.335424718661977
0.220.6289909246120620.328184029897098
0.230.7039297311690320.311377824769739
0.240.7739105130078420.28777407669328
0.250.83781290472920.260699891085428
0.260.8952467251171020.233459291079885
0.270.9464822966489650.208864551990258
0.280.9922983920945610.18894130690221
0.291.033793419140420.174790089926252
0.31.072201410381810.166639057444492
0.311.108741813324760.164023613875406
0.321.14451677381020.166068040885587
0.331.180456283368710.171783380146398
0.341.217302740263220.180255656036768
0.351.25562250786920.19073070374349
0.361.295831848890170.202631276110277
0.371.338226573825660.215532292605948
0.381.3830075295830.22911683586394
0.391.430296950440720.243113970537161
0.41.480143541223360.257221752739324
0.411.532517032342310.271052561922182
0.421.587295758615540.284097935255321
0.431.644253133116560.295723914400069
0.441.703050007496260.305242134835197
0.451.763239190150140.31200493300008
0.461.824285666655630.315530112535642
0.471.885601893390050.315599239793603
0.481.946593131893460.312305196253998
0.492.006704627349740.306042580791779
0.52.06546165287910.297427419397837
0.512.122495367702090.287169735265813
0.522.177551407428210.275963274156993
0.532.230482727038690.264358396723661
0.542.281231853300220.252746759466553
0.552.329809225223210.241356348749236
0.562.376273445633940.230315407826207
0.572.420716704640330.219719514096971
0.582.463255625388450.209664548282746
0.592.50402559708620.200272774372806
0.62.543176047374370.191648781467512
0.612.580865016653250.183846800552842
0.622.617253086825360.176873319769904
0.632.652498153742210.170655257911829
0.642.686752906463280.165118291996646
0.652.720165976204110.160199167509619
0.662.752886008023690.155894613165409
0.672.785066282444310.152250366510292
0.682.816866849656280.149344772707765
0.692.848451862771650.147221652783488
0.72.879981664052880.145849437398005
0.712.911601369813220.145111219211102
0.722.943429203491980.144801999928343
0.732.975547941720490.144686765919118
0.743.0080015756940.144538895442331
0.753.040797459934370.144187420011045
0.763.073913113872520.143520002291503
0.773.107307582194080.142479530794454
0.783.140940074217060.141056740366223
0.793.174802368888220.139321312343082
0.83.208973880767280.137526225259963
0.813.243706756298950.136243336736058
0.823.279541543424560.136546779892289
0.833.317443073681730.14008956702853
0.843.358935174144660.149014243089173
0.853.406206106248520.165569241939576
0.863.462154276175920.191590044702706
0.873.530337113410460.228128049157389
0.883.61476093482550.275239789120709
0.893.719405009228750.331465894694876
0.93.847350301566520.392658028243174
0.913.999475736465810.450501564636772
0.924.172976627958480.492215171712792
0.934.360385570220990.503325891461713
0.944.550013941041240.473836045865273
0.954.728356232779520.404949223423431
0.964.883937472425380.311133747051179
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')