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R Software Module

rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Wed, 05 Oct 2016 16:52:29 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t14756827951kk54wctoo9f5g8.htm/, Retrieved Sun, 05 May 2024 18:21:10 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 18:21:10 +0200

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.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:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	1.10958128943962	0.0173033667847484
0.02	1.15777722294614	0.00695521740237093
0.03	1.17197297720929	0.00373647383918074
0.04	1.17952239401396	0.00279636077484177
0.05	1.18366891900512	0.00176877797881816
0.06	1.18638969012303	0.00148017823532234
0.07	1.18919542797862	0.00211795765826822
0.08	1.19250570769909	0.00220574237045364
0.09	1.19562875589719	0.002300438292508
0.1	1.19886827698396	0.00262014821614257
0.11	1.2028738580784	0.00395858220141335
0.12	1.20916607417913	0.00664761568874528
0.13	1.21866849268039	0.00958516152488265
0.14	1.23153772857223	0.0133313923887773
0.15	1.24773274610508	0.0151514047905773
0.16	1.26236185658867	0.0112647821414788
0.17	1.27196733093511	0.00719911678418572
0.18	1.27838344558121	0.00553340754560727
0.19	1.28382474472884	0.00540952401415768
0.2	1.28896170602366	0.00485095095257606
0.21	1.29317530151931	0.0040088873953719
0.22	1.29711075985819	0.00444657126343686
0.23	1.30142465140701	0.00467000200043538
0.24	1.30553423604366	0.00430274976885709
0.25	1.30980126637624	0.00571251597270822
0.26	1.31709114569046	0.0115733835121567
0.27	1.33015018009701	0.0177728598363275
0.28	1.34557224363802	0.0165401768136049
0.29	1.35748278398318	0.0110314586068227
0.3	1.36530634067985	0.00772496541830321
0.31	1.37132497325281	0.00667131844108545
0.32	1.37657774286878	0.00581197595530443
0.33	1.38096273892319	0.00475592815035242
0.34	1.38457190835205	0.00404877479311874
0.35	1.38763285463249	0.0034044969369443
0.36	1.39007958407727	0.0026259821060816
0.37	1.39200131368456	0.00221690433842411
0.38	1.39379266543701	0.00228414539393063
0.39	1.39566203643887	0.0023911147890448
0.4	1.39757592360785	0.00243256074662648
0.41	1.39952466766371	0.00250758590460211
0.42	1.40152487641747	0.00255850562872497
0.43	1.40349296025679	0.00242138135829458
0.44	1.40527261055625	0.00210255429839294
0.45	1.40677689874499	0.00176070197876961
0.46	1.40808417953337	0.00163165659560113
0.47	1.40939192135652	0.00175224248353801
0.48	1.41082413879773	0.0019179752609874
0.49	1.41232340079274	0.00191811915772135
0.5	1.41376245829372	0.00178580969836134
0.51	1.41510213941398	0.00167592453427845
0.52	1.41636030849464	0.00155022985850351
0.53	1.41748174932589	0.00131703033780485
0.54	1.4184015380426	0.00106393178731493
0.55	1.4191764263925	0.000952218227314375
0.56	1.41992940718547	0.000988947343010619
0.57	1.42073721099881	0.00108708454535045
0.58	1.42166195197449	0.00127602431229413
0.59	1.4227345922281	0.00142322470949623
0.6	1.42383829476635	0.00133984795546438
0.61	1.42482899665466	0.00115851113424024
0.62	1.42569112291529	0.00101203651043442
0.63	1.42645322618481	0.000893464937056865
0.64	1.42713480788238	0.000811640299600479
0.65	1.42778308509118	0.000794518777919459
0.66	1.42842491217052	0.000775761876254227
0.67	1.42908038971955	0.000837180757445358
0.68	1.42988411420681	0.00113503013624521
0.69	1.43102241228915	0.00157363881930805
0.7	1.43243469940561	0.00170678243063086
0.71	1.43380215275581	0.00148751405663822
0.72	1.43499204971889	0.00130375562428995
0.73	1.4360658544719	0.0011620223582136
0.74	1.43702018396745	0.00102958579220486
0.75	1.43796487514287	0.00112268148560845
0.76	1.439080912999	0.00134239873896197
0.77	1.44037928085375	0.00144947095471952
0.78	1.44167906748966	0.00132195250334707
0.79	1.44284111164621	0.00114617564446606
0.8	1.44387664249321	0.00100606752171127
0.81	1.44482252076613	0.000944439484039535
0.82	1.44583714166838	0.00109638119205936
0.83	1.4471374151795	0.00145100314780694
0.84	1.44896422180583	0.00201404477982551
0.85	1.45136121771549	0.0023337908961935
0.86	1.45384612997745	0.00210112188095067
0.87	1.45606137812996	0.00183180527280846
0.88	1.45828932905167	0.0019916864400447
0.89	1.46092441035712	0.00223659592623504
0.9	1.46373010575441	0.00213616997620554
0.91	1.46658429872344	0.00215965165993914
0.92	1.46963992495209	0.00209442664198476
0.93	1.47219212032083	0.00133205444668327
0.94	1.4738536622747	0.000860002062439889
0.95	1.47520560591102	0.000773101999309247
0.96	1.47714947301601	0.00131159660015367
0.97	1.48050266575927	0.00159978072540101
0.98	1.48399162589411	0.00118195929653204
0.99	1.49011863949275	0.00303499908722563

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.10958128943962 & 0.0173033667847484 \tabularnewline
0.02 & 1.15777722294614 & 0.00695521740237093 \tabularnewline
0.03 & 1.17197297720929 & 0.00373647383918074 \tabularnewline
0.04 & 1.17952239401396 & 0.00279636077484177 \tabularnewline
0.05 & 1.18366891900512 & 0.00176877797881816 \tabularnewline
0.06 & 1.18638969012303 & 0.00148017823532234 \tabularnewline
0.07 & 1.18919542797862 & 0.00211795765826822 \tabularnewline
0.08 & 1.19250570769909 & 0.00220574237045364 \tabularnewline
0.09 & 1.19562875589719 & 0.002300438292508 \tabularnewline
0.1 & 1.19886827698396 & 0.00262014821614257 \tabularnewline
0.11 & 1.2028738580784 & 0.00395858220141335 \tabularnewline
0.12 & 1.20916607417913 & 0.00664761568874528 \tabularnewline
0.13 & 1.21866849268039 & 0.00958516152488265 \tabularnewline
0.14 & 1.23153772857223 & 0.0133313923887773 \tabularnewline
0.15 & 1.24773274610508 & 0.0151514047905773 \tabularnewline
0.16 & 1.26236185658867 & 0.0112647821414788 \tabularnewline
0.17 & 1.27196733093511 & 0.00719911678418572 \tabularnewline
0.18 & 1.27838344558121 & 0.00553340754560727 \tabularnewline
0.19 & 1.28382474472884 & 0.00540952401415768 \tabularnewline
0.2 & 1.28896170602366 & 0.00485095095257606 \tabularnewline
0.21 & 1.29317530151931 & 0.0040088873953719 \tabularnewline
0.22 & 1.29711075985819 & 0.00444657126343686 \tabularnewline
0.23 & 1.30142465140701 & 0.00467000200043538 \tabularnewline
0.24 & 1.30553423604366 & 0.00430274976885709 \tabularnewline
0.25 & 1.30980126637624 & 0.00571251597270822 \tabularnewline
0.26 & 1.31709114569046 & 0.0115733835121567 \tabularnewline
0.27 & 1.33015018009701 & 0.0177728598363275 \tabularnewline
0.28 & 1.34557224363802 & 0.0165401768136049 \tabularnewline
0.29 & 1.35748278398318 & 0.0110314586068227 \tabularnewline
0.3 & 1.36530634067985 & 0.00772496541830321 \tabularnewline
0.31 & 1.37132497325281 & 0.00667131844108545 \tabularnewline
0.32 & 1.37657774286878 & 0.00581197595530443 \tabularnewline
0.33 & 1.38096273892319 & 0.00475592815035242 \tabularnewline
0.34 & 1.38457190835205 & 0.00404877479311874 \tabularnewline
0.35 & 1.38763285463249 & 0.0034044969369443 \tabularnewline
0.36 & 1.39007958407727 & 0.0026259821060816 \tabularnewline
0.37 & 1.39200131368456 & 0.00221690433842411 \tabularnewline
0.38 & 1.39379266543701 & 0.00228414539393063 \tabularnewline
0.39 & 1.39566203643887 & 0.0023911147890448 \tabularnewline
0.4 & 1.39757592360785 & 0.00243256074662648 \tabularnewline
0.41 & 1.39952466766371 & 0.00250758590460211 \tabularnewline
0.42 & 1.40152487641747 & 0.00255850562872497 \tabularnewline
0.43 & 1.40349296025679 & 0.00242138135829458 \tabularnewline
0.44 & 1.40527261055625 & 0.00210255429839294 \tabularnewline
0.45 & 1.40677689874499 & 0.00176070197876961 \tabularnewline
0.46 & 1.40808417953337 & 0.00163165659560113 \tabularnewline
0.47 & 1.40939192135652 & 0.00175224248353801 \tabularnewline
0.48 & 1.41082413879773 & 0.0019179752609874 \tabularnewline
0.49 & 1.41232340079274 & 0.00191811915772135 \tabularnewline
0.5 & 1.41376245829372 & 0.00178580969836134 \tabularnewline
0.51 & 1.41510213941398 & 0.00167592453427845 \tabularnewline
0.52 & 1.41636030849464 & 0.00155022985850351 \tabularnewline
0.53 & 1.41748174932589 & 0.00131703033780485 \tabularnewline
0.54 & 1.4184015380426 & 0.00106393178731493 \tabularnewline
0.55 & 1.4191764263925 & 0.000952218227314375 \tabularnewline
0.56 & 1.41992940718547 & 0.000988947343010619 \tabularnewline
0.57 & 1.42073721099881 & 0.00108708454535045 \tabularnewline
0.58 & 1.42166195197449 & 0.00127602431229413 \tabularnewline
0.59 & 1.4227345922281 & 0.00142322470949623 \tabularnewline
0.6 & 1.42383829476635 & 0.00133984795546438 \tabularnewline
0.61 & 1.42482899665466 & 0.00115851113424024 \tabularnewline
0.62 & 1.42569112291529 & 0.00101203651043442 \tabularnewline
0.63 & 1.42645322618481 & 0.000893464937056865 \tabularnewline
0.64 & 1.42713480788238 & 0.000811640299600479 \tabularnewline
0.65 & 1.42778308509118 & 0.000794518777919459 \tabularnewline
0.66 & 1.42842491217052 & 0.000775761876254227 \tabularnewline
0.67 & 1.42908038971955 & 0.000837180757445358 \tabularnewline
0.68 & 1.42988411420681 & 0.00113503013624521 \tabularnewline
0.69 & 1.43102241228915 & 0.00157363881930805 \tabularnewline
0.7 & 1.43243469940561 & 0.00170678243063086 \tabularnewline
0.71 & 1.43380215275581 & 0.00148751405663822 \tabularnewline
0.72 & 1.43499204971889 & 0.00130375562428995 \tabularnewline
0.73 & 1.4360658544719 & 0.0011620223582136 \tabularnewline
0.74 & 1.43702018396745 & 0.00102958579220486 \tabularnewline
0.75 & 1.43796487514287 & 0.00112268148560845 \tabularnewline
0.76 & 1.439080912999 & 0.00134239873896197 \tabularnewline
0.77 & 1.44037928085375 & 0.00144947095471952 \tabularnewline
0.78 & 1.44167906748966 & 0.00132195250334707 \tabularnewline
0.79 & 1.44284111164621 & 0.00114617564446606 \tabularnewline
0.8 & 1.44387664249321 & 0.00100606752171127 \tabularnewline
0.81 & 1.44482252076613 & 0.000944439484039535 \tabularnewline
0.82 & 1.44583714166838 & 0.00109638119205936 \tabularnewline
0.83 & 1.4471374151795 & 0.00145100314780694 \tabularnewline
0.84 & 1.44896422180583 & 0.00201404477982551 \tabularnewline
0.85 & 1.45136121771549 & 0.0023337908961935 \tabularnewline
0.86 & 1.45384612997745 & 0.00210112188095067 \tabularnewline
0.87 & 1.45606137812996 & 0.00183180527280846 \tabularnewline
0.88 & 1.45828932905167 & 0.0019916864400447 \tabularnewline
0.89 & 1.46092441035712 & 0.00223659592623504 \tabularnewline
0.9 & 1.46373010575441 & 0.00213616997620554 \tabularnewline
0.91 & 1.46658429872344 & 0.00215965165993914 \tabularnewline
0.92 & 1.46963992495209 & 0.00209442664198476 \tabularnewline
0.93 & 1.47219212032083 & 0.00133205444668327 \tabularnewline
0.94 & 1.4738536622747 & 0.000860002062439889 \tabularnewline
0.95 & 1.47520560591102 & 0.000773101999309247 \tabularnewline
0.96 & 1.47714947301601 & 0.00131159660015367 \tabularnewline
0.97 & 1.48050266575927 & 0.00159978072540101 \tabularnewline
0.98 & 1.48399162589411 & 0.00118195929653204 \tabularnewline
0.99 & 1.49011863949275 & 0.00303499908722563 \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]1.10958128943962[/C][C]0.0173033667847484[/C][/ROW]
[ROW][C]0.02[/C][C]1.15777722294614[/C][C]0.00695521740237093[/C][/ROW]
[ROW][C]0.03[/C][C]1.17197297720929[/C][C]0.00373647383918074[/C][/ROW]
[ROW][C]0.04[/C][C]1.17952239401396[/C][C]0.00279636077484177[/C][/ROW]
[ROW][C]0.05[/C][C]1.18366891900512[/C][C]0.00176877797881816[/C][/ROW]
[ROW][C]0.06[/C][C]1.18638969012303[/C][C]0.00148017823532234[/C][/ROW]
[ROW][C]0.07[/C][C]1.18919542797862[/C][C]0.00211795765826822[/C][/ROW]
[ROW][C]0.08[/C][C]1.19250570769909[/C][C]0.00220574237045364[/C][/ROW]
[ROW][C]0.09[/C][C]1.19562875589719[/C][C]0.002300438292508[/C][/ROW]
[ROW][C]0.1[/C][C]1.19886827698396[/C][C]0.00262014821614257[/C][/ROW]
[ROW][C]0.11[/C][C]1.2028738580784[/C][C]0.00395858220141335[/C][/ROW]
[ROW][C]0.12[/C][C]1.20916607417913[/C][C]0.00664761568874528[/C][/ROW]
[ROW][C]0.13[/C][C]1.21866849268039[/C][C]0.00958516152488265[/C][/ROW]
[ROW][C]0.14[/C][C]1.23153772857223[/C][C]0.0133313923887773[/C][/ROW]
[ROW][C]0.15[/C][C]1.24773274610508[/C][C]0.0151514047905773[/C][/ROW]
[ROW][C]0.16[/C][C]1.26236185658867[/C][C]0.0112647821414788[/C][/ROW]
[ROW][C]0.17[/C][C]1.27196733093511[/C][C]0.00719911678418572[/C][/ROW]
[ROW][C]0.18[/C][C]1.27838344558121[/C][C]0.00553340754560727[/C][/ROW]
[ROW][C]0.19[/C][C]1.28382474472884[/C][C]0.00540952401415768[/C][/ROW]
[ROW][C]0.2[/C][C]1.28896170602366[/C][C]0.00485095095257606[/C][/ROW]
[ROW][C]0.21[/C][C]1.29317530151931[/C][C]0.0040088873953719[/C][/ROW]
[ROW][C]0.22[/C][C]1.29711075985819[/C][C]0.00444657126343686[/C][/ROW]
[ROW][C]0.23[/C][C]1.30142465140701[/C][C]0.00467000200043538[/C][/ROW]
[ROW][C]0.24[/C][C]1.30553423604366[/C][C]0.00430274976885709[/C][/ROW]
[ROW][C]0.25[/C][C]1.30980126637624[/C][C]0.00571251597270822[/C][/ROW]
[ROW][C]0.26[/C][C]1.31709114569046[/C][C]0.0115733835121567[/C][/ROW]
[ROW][C]0.27[/C][C]1.33015018009701[/C][C]0.0177728598363275[/C][/ROW]
[ROW][C]0.28[/C][C]1.34557224363802[/C][C]0.0165401768136049[/C][/ROW]
[ROW][C]0.29[/C][C]1.35748278398318[/C][C]0.0110314586068227[/C][/ROW]
[ROW][C]0.3[/C][C]1.36530634067985[/C][C]0.00772496541830321[/C][/ROW]
[ROW][C]0.31[/C][C]1.37132497325281[/C][C]0.00667131844108545[/C][/ROW]
[ROW][C]0.32[/C][C]1.37657774286878[/C][C]0.00581197595530443[/C][/ROW]
[ROW][C]0.33[/C][C]1.38096273892319[/C][C]0.00475592815035242[/C][/ROW]
[ROW][C]0.34[/C][C]1.38457190835205[/C][C]0.00404877479311874[/C][/ROW]
[ROW][C]0.35[/C][C]1.38763285463249[/C][C]0.0034044969369443[/C][/ROW]
[ROW][C]0.36[/C][C]1.39007958407727[/C][C]0.0026259821060816[/C][/ROW]
[ROW][C]0.37[/C][C]1.39200131368456[/C][C]0.00221690433842411[/C][/ROW]
[ROW][C]0.38[/C][C]1.39379266543701[/C][C]0.00228414539393063[/C][/ROW]
[ROW][C]0.39[/C][C]1.39566203643887[/C][C]0.0023911147890448[/C][/ROW]
[ROW][C]0.4[/C][C]1.39757592360785[/C][C]0.00243256074662648[/C][/ROW]
[ROW][C]0.41[/C][C]1.39952466766371[/C][C]0.00250758590460211[/C][/ROW]
[ROW][C]0.42[/C][C]1.40152487641747[/C][C]0.00255850562872497[/C][/ROW]
[ROW][C]0.43[/C][C]1.40349296025679[/C][C]0.00242138135829458[/C][/ROW]
[ROW][C]0.44[/C][C]1.40527261055625[/C][C]0.00210255429839294[/C][/ROW]
[ROW][C]0.45[/C][C]1.40677689874499[/C][C]0.00176070197876961[/C][/ROW]
[ROW][C]0.46[/C][C]1.40808417953337[/C][C]0.00163165659560113[/C][/ROW]
[ROW][C]0.47[/C][C]1.40939192135652[/C][C]0.00175224248353801[/C][/ROW]
[ROW][C]0.48[/C][C]1.41082413879773[/C][C]0.0019179752609874[/C][/ROW]
[ROW][C]0.49[/C][C]1.41232340079274[/C][C]0.00191811915772135[/C][/ROW]
[ROW][C]0.5[/C][C]1.41376245829372[/C][C]0.00178580969836134[/C][/ROW]
[ROW][C]0.51[/C][C]1.41510213941398[/C][C]0.00167592453427845[/C][/ROW]
[ROW][C]0.52[/C][C]1.41636030849464[/C][C]0.00155022985850351[/C][/ROW]
[ROW][C]0.53[/C][C]1.41748174932589[/C][C]0.00131703033780485[/C][/ROW]
[ROW][C]0.54[/C][C]1.4184015380426[/C][C]0.00106393178731493[/C][/ROW]
[ROW][C]0.55[/C][C]1.4191764263925[/C][C]0.000952218227314375[/C][/ROW]
[ROW][C]0.56[/C][C]1.41992940718547[/C][C]0.000988947343010619[/C][/ROW]
[ROW][C]0.57[/C][C]1.42073721099881[/C][C]0.00108708454535045[/C][/ROW]
[ROW][C]0.58[/C][C]1.42166195197449[/C][C]0.00127602431229413[/C][/ROW]
[ROW][C]0.59[/C][C]1.4227345922281[/C][C]0.00142322470949623[/C][/ROW]
[ROW][C]0.6[/C][C]1.42383829476635[/C][C]0.00133984795546438[/C][/ROW]
[ROW][C]0.61[/C][C]1.42482899665466[/C][C]0.00115851113424024[/C][/ROW]
[ROW][C]0.62[/C][C]1.42569112291529[/C][C]0.00101203651043442[/C][/ROW]
[ROW][C]0.63[/C][C]1.42645322618481[/C][C]0.000893464937056865[/C][/ROW]
[ROW][C]0.64[/C][C]1.42713480788238[/C][C]0.000811640299600479[/C][/ROW]
[ROW][C]0.65[/C][C]1.42778308509118[/C][C]0.000794518777919459[/C][/ROW]
[ROW][C]0.66[/C][C]1.42842491217052[/C][C]0.000775761876254227[/C][/ROW]
[ROW][C]0.67[/C][C]1.42908038971955[/C][C]0.000837180757445358[/C][/ROW]
[ROW][C]0.68[/C][C]1.42988411420681[/C][C]0.00113503013624521[/C][/ROW]
[ROW][C]0.69[/C][C]1.43102241228915[/C][C]0.00157363881930805[/C][/ROW]
[ROW][C]0.7[/C][C]1.43243469940561[/C][C]0.00170678243063086[/C][/ROW]
[ROW][C]0.71[/C][C]1.43380215275581[/C][C]0.00148751405663822[/C][/ROW]
[ROW][C]0.72[/C][C]1.43499204971889[/C][C]0.00130375562428995[/C][/ROW]
[ROW][C]0.73[/C][C]1.4360658544719[/C][C]0.0011620223582136[/C][/ROW]
[ROW][C]0.74[/C][C]1.43702018396745[/C][C]0.00102958579220486[/C][/ROW]
[ROW][C]0.75[/C][C]1.43796487514287[/C][C]0.00112268148560845[/C][/ROW]
[ROW][C]0.76[/C][C]1.439080912999[/C][C]0.00134239873896197[/C][/ROW]
[ROW][C]0.77[/C][C]1.44037928085375[/C][C]0.00144947095471952[/C][/ROW]
[ROW][C]0.78[/C][C]1.44167906748966[/C][C]0.00132195250334707[/C][/ROW]
[ROW][C]0.79[/C][C]1.44284111164621[/C][C]0.00114617564446606[/C][/ROW]
[ROW][C]0.8[/C][C]1.44387664249321[/C][C]0.00100606752171127[/C][/ROW]
[ROW][C]0.81[/C][C]1.44482252076613[/C][C]0.000944439484039535[/C][/ROW]
[ROW][C]0.82[/C][C]1.44583714166838[/C][C]0.00109638119205936[/C][/ROW]
[ROW][C]0.83[/C][C]1.4471374151795[/C][C]0.00145100314780694[/C][/ROW]
[ROW][C]0.84[/C][C]1.44896422180583[/C][C]0.00201404477982551[/C][/ROW]
[ROW][C]0.85[/C][C]1.45136121771549[/C][C]0.0023337908961935[/C][/ROW]
[ROW][C]0.86[/C][C]1.45384612997745[/C][C]0.00210112188095067[/C][/ROW]
[ROW][C]0.87[/C][C]1.45606137812996[/C][C]0.00183180527280846[/C][/ROW]
[ROW][C]0.88[/C][C]1.45828932905167[/C][C]0.0019916864400447[/C][/ROW]
[ROW][C]0.89[/C][C]1.46092441035712[/C][C]0.00223659592623504[/C][/ROW]
[ROW][C]0.9[/C][C]1.46373010575441[/C][C]0.00213616997620554[/C][/ROW]
[ROW][C]0.91[/C][C]1.46658429872344[/C][C]0.00215965165993914[/C][/ROW]
[ROW][C]0.92[/C][C]1.46963992495209[/C][C]0.00209442664198476[/C][/ROW]
[ROW][C]0.93[/C][C]1.47219212032083[/C][C]0.00133205444668327[/C][/ROW]
[ROW][C]0.94[/C][C]1.4738536622747[/C][C]0.000860002062439889[/C][/ROW]
[ROW][C]0.95[/C][C]1.47520560591102[/C][C]0.000773101999309247[/C][/ROW]
[ROW][C]0.96[/C][C]1.47714947301601[/C][C]0.00131159660015367[/C][/ROW]
[ROW][C]0.97[/C][C]1.48050266575927[/C][C]0.00159978072540101[/C][/ROW]
[ROW][C]0.98[/C][C]1.48399162589411[/C][C]0.00118195929653204[/C][/ROW]
[ROW][C]0.99[/C][C]1.49011863949275[/C][C]0.00303499908722563[/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:

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

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	1.10958128943962	0.0173033667847484
0.02	1.15777722294614	0.00695521740237093
0.03	1.17197297720929	0.00373647383918074
0.04	1.17952239401396	0.00279636077484177
0.05	1.18366891900512	0.00176877797881816
0.06	1.18638969012303	0.00148017823532234
0.07	1.18919542797862	0.00211795765826822
0.08	1.19250570769909	0.00220574237045364
0.09	1.19562875589719	0.002300438292508
0.1	1.19886827698396	0.00262014821614257
0.11	1.2028738580784	0.00395858220141335
0.12	1.20916607417913	0.00664761568874528
0.13	1.21866849268039	0.00958516152488265
0.14	1.23153772857223	0.0133313923887773
0.15	1.24773274610508	0.0151514047905773
0.16	1.26236185658867	0.0112647821414788
0.17	1.27196733093511	0.00719911678418572
0.18	1.27838344558121	0.00553340754560727
0.19	1.28382474472884	0.00540952401415768
0.2	1.28896170602366	0.00485095095257606
0.21	1.29317530151931	0.0040088873953719
0.22	1.29711075985819	0.00444657126343686
0.23	1.30142465140701	0.00467000200043538
0.24	1.30553423604366	0.00430274976885709
0.25	1.30980126637624	0.00571251597270822
0.26	1.31709114569046	0.0115733835121567
0.27	1.33015018009701	0.0177728598363275
0.28	1.34557224363802	0.0165401768136049
0.29	1.35748278398318	0.0110314586068227
0.3	1.36530634067985	0.00772496541830321
0.31	1.37132497325281	0.00667131844108545
0.32	1.37657774286878	0.00581197595530443
0.33	1.38096273892319	0.00475592815035242
0.34	1.38457190835205	0.00404877479311874
0.35	1.38763285463249	0.0034044969369443
0.36	1.39007958407727	0.0026259821060816
0.37	1.39200131368456	0.00221690433842411
0.38	1.39379266543701	0.00228414539393063
0.39	1.39566203643887	0.0023911147890448
0.4	1.39757592360785	0.00243256074662648
0.41	1.39952466766371	0.00250758590460211
0.42	1.40152487641747	0.00255850562872497
0.43	1.40349296025679	0.00242138135829458
0.44	1.40527261055625	0.00210255429839294
0.45	1.40677689874499	0.00176070197876961
0.46	1.40808417953337	0.00163165659560113
0.47	1.40939192135652	0.00175224248353801
0.48	1.41082413879773	0.0019179752609874
0.49	1.41232340079274	0.00191811915772135
0.5	1.41376245829372	0.00178580969836134
0.51	1.41510213941398	0.00167592453427845
0.52	1.41636030849464	0.00155022985850351
0.53	1.41748174932589	0.00131703033780485
0.54	1.4184015380426	0.00106393178731493
0.55	1.4191764263925	0.000952218227314375
0.56	1.41992940718547	0.000988947343010619
0.57	1.42073721099881	0.00108708454535045
0.58	1.42166195197449	0.00127602431229413
0.59	1.4227345922281	0.00142322470949623
0.6	1.42383829476635	0.00133984795546438
0.61	1.42482899665466	0.00115851113424024
0.62	1.42569112291529	0.00101203651043442
0.63	1.42645322618481	0.000893464937056865
0.64	1.42713480788238	0.000811640299600479
0.65	1.42778308509118	0.000794518777919459
0.66	1.42842491217052	0.000775761876254227
0.67	1.42908038971955	0.000837180757445358
0.68	1.42988411420681	0.00113503013624521
0.69	1.43102241228915	0.00157363881930805
0.7	1.43243469940561	0.00170678243063086
0.71	1.43380215275581	0.00148751405663822
0.72	1.43499204971889	0.00130375562428995
0.73	1.4360658544719	0.0011620223582136
0.74	1.43702018396745	0.00102958579220486
0.75	1.43796487514287	0.00112268148560845
0.76	1.439080912999	0.00134239873896197
0.77	1.44037928085375	0.00144947095471952
0.78	1.44167906748966	0.00132195250334707
0.79	1.44284111164621	0.00114617564446606
0.8	1.44387664249321	0.00100606752171127
0.81	1.44482252076613	0.000944439484039535
0.82	1.44583714166838	0.00109638119205936
0.83	1.4471374151795	0.00145100314780694
0.84	1.44896422180583	0.00201404477982551
0.85	1.45136121771549	0.0023337908961935
0.86	1.45384612997745	0.00210112188095067
0.87	1.45606137812996	0.00183180527280846
0.88	1.45828932905167	0.0019916864400447
0.89	1.46092441035712	0.00223659592623504
0.9	1.46373010575441	0.00213616997620554
0.91	1.46658429872344	0.00215965165993914
0.92	1.46963992495209	0.00209442664198476
0.93	1.47219212032083	0.00133205444668327
0.94	1.4738536622747	0.000860002062439889
0.95	1.47520560591102	0.000773101999309247
0.96	1.47714947301601	0.00131159660015367
0.97	1.48050266575927	0.00159978072540101
0.98	1.48399162589411	0.00118195929653204
0.99	1.49011863949275	0.00303499908722563

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code