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rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Sat, 27 Feb 2016 10:32:13 +0000

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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/Feb/27/t1456569173xbihaawh5a6wzmr.htm/, Retrieved Sat, 27 Apr 2024 10:59:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292838, Retrieved Sat, 27 Apr 2024 10:59:30 +0000

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106

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-       [Harrell-Davis Quantiles] [] [2016-02-27 10:32:13] [c0f67b4e93ea0adf92c2b9d3976edd70] [Current]

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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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292838&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292838&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292838&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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	84.2403289874014	0.335048572207407
0.02	84.5217468199025	0.570638035596645
0.03	84.8929434156424	0.734949462011267
0.04	85.290310477906	0.768616193380172
0.05	85.6616926714204	0.705782770325127
0.06	85.9784925403944	0.604744481084025
0.07	86.2345930372186	0.505743459335617
0.08	86.4374436342861	0.425383259494217
0.09	86.5993621249393	0.36722126820575
0.1	86.7325574718885	0.330849299873443
0.11	86.847281021727	0.314500384093576
0.12	86.9514590301897	0.314848731210847
0.13	87.0507539255939	0.32639133326547
0.14	87.1487297754247	0.342850169172653
0.15	87.2471407882361	0.359056381366466
0.16	87.3463944405657	0.371693249678994
0.17	87.446154521001	0.379861212762455
0.18	87.5459697640885	0.38562155835644
0.19	87.6457896036226	0.392627931399463
0.2	87.7462616199273	0.405086158458766
0.21	87.8487740013891	0.426631381644341
0.22	87.955281300506	0.459431920697827
0.23	88.0680065350484	0.503140056117844
0.24	88.1891317207534	0.556283345745407
0.25	88.3205706758292	0.616494626143529
0.26	88.46387301437	0.682107880120254
0.27	88.620254110192	0.75238519214418
0.28	88.7907004805377	0.826991915453615
0.29	88.9760767989761	0.906717467830729
0.3	89.1771650010646	0.991641720778942
0.31	89.3945944671041	1.08104896544024
0.32	89.6286647151969	1.17243838915492
0.33	89.8791042954697	1.26204349748503
0.34	90.1448380653878	1.34402966155331
0.35	90.4238408466617	1.41304911777769
0.36	90.7131370600477	1.46338421625856
0.37	91.0089693763528	1.49161523296086
0.38	91.307116191089	1.49600468046042
0.39	91.60330079162	1.47766274424316
0.4	91.8936146718506	1.43957067890857
0.41	92.174878030496	1.38669901235509
0.42	92.4448798918207	1.32516009273637
0.43	92.7024710791892	1.26056193301993
0.44	92.9475157003581	1.19805526561074
0.45	93.1807321261013	1.14176163055434
0.46	93.4034674725727	1.09412489722945
0.47	93.6174497245065	1.05637279756726
0.48	93.8245522114501	1.02842682337849
0.49	94.026591661688	1.00937468078801
0.5	94.2251688960576	0.997797468074377
0.51	94.4215538243625	0.991705701394747
0.52	94.6166143778251	0.988553126084255
0.53	94.8107904048126	0.98614739025453
0.54	95.0041150878194	0.982201148399728
0.55	95.1962851139492	0.97497175227316
0.56	95.3867753535709	0.963397491048104
0.57	95.5749852127822	0.947311418751144
0.58	95.7603951219713	0.927791530164717
0.59	95.9427065070219	0.906409711963641
0.6	96.1219398416461	0.885474821278474
0.61	96.2984735314159	0.86698918940428
0.62	96.47301927903	0.853097387434739
0.63	96.6465430840409	0.844678899281836
0.64	96.8201506161515	0.842242910517499
0.65	96.9949583528819	0.845073033885218
0.66	97.1719674388562	0.852280789852874
0.67	97.3519486072015	0.862338935125263
0.68	97.5353384842859	0.873639620053846
0.69	97.722144692794	0.883821715639792
0.7	97.9118613865144	0.890719883398397
0.71	98.1034064025323	0.891500067761855
0.72	98.2951009080225	0.883345839063828
0.73	98.484715819315	0.863778741563348
0.74	98.6696018757115	0.831176156866802
0.75	98.8469022037714	0.785036311530236
0.76	99.013823091527	0.726390818267455
0.77	99.1679195981631	0.657748614935912
0.78	99.3073460395271	0.582634001454834
0.79	99.431030760381	0.50508756931284
0.8	99.5387560404099	0.42917260475103
0.81	99.6311478235108	0.358365885658056
0.82	99.7095959537176	0.29557629680717
0.83	99.7761289998635	0.242822196027576
0.84	99.8332622689383	0.201583445952148
0.85	99.8838321528736	0.172568818628378
0.86	99.9308300560409	0.155890858217781
0.87	99.9772495190341	0.150434738914733
0.88	100.02594768636	0.15447424180542
0.89	100.079493371673	0.165858696050591
0.9	100.139953798269	0.182055121476085
0.91	100.208606156677	0.199598251810721
0.92	100.285658286196	0.21391025792776
0.93	100.370138077929	0.220698090226769
0.94	100.4600413106	0.217665245766937
0.95	100.552714326809	0.205065680125515
0.96	100.645716215923	0.183397489779446
0.97	100.738762533675	0.154440578501611
0.98	100.83482466435	0.134646177650872
0.99	100.931372426646	0.15610364686165

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.2403289874014 & 0.335048572207407 \tabularnewline
0.02 & 84.5217468199025 & 0.570638035596645 \tabularnewline
0.03 & 84.8929434156424 & 0.734949462011267 \tabularnewline
0.04 & 85.290310477906 & 0.768616193380172 \tabularnewline
0.05 & 85.6616926714204 & 0.705782770325127 \tabularnewline
0.06 & 85.9784925403944 & 0.604744481084025 \tabularnewline
0.07 & 86.2345930372186 & 0.505743459335617 \tabularnewline
0.08 & 86.4374436342861 & 0.425383259494217 \tabularnewline
0.09 & 86.5993621249393 & 0.36722126820575 \tabularnewline
0.1 & 86.7325574718885 & 0.330849299873443 \tabularnewline
0.11 & 86.847281021727 & 0.314500384093576 \tabularnewline
0.12 & 86.9514590301897 & 0.314848731210847 \tabularnewline
0.13 & 87.0507539255939 & 0.32639133326547 \tabularnewline
0.14 & 87.1487297754247 & 0.342850169172653 \tabularnewline
0.15 & 87.2471407882361 & 0.359056381366466 \tabularnewline
0.16 & 87.3463944405657 & 0.371693249678994 \tabularnewline
0.17 & 87.446154521001 & 0.379861212762455 \tabularnewline
0.18 & 87.5459697640885 & 0.38562155835644 \tabularnewline
0.19 & 87.6457896036226 & 0.392627931399463 \tabularnewline
0.2 & 87.7462616199273 & 0.405086158458766 \tabularnewline
0.21 & 87.8487740013891 & 0.426631381644341 \tabularnewline
0.22 & 87.955281300506 & 0.459431920697827 \tabularnewline
0.23 & 88.0680065350484 & 0.503140056117844 \tabularnewline
0.24 & 88.1891317207534 & 0.556283345745407 \tabularnewline
0.25 & 88.3205706758292 & 0.616494626143529 \tabularnewline
0.26 & 88.46387301437 & 0.682107880120254 \tabularnewline
0.27 & 88.620254110192 & 0.75238519214418 \tabularnewline
0.28 & 88.7907004805377 & 0.826991915453615 \tabularnewline
0.29 & 88.9760767989761 & 0.906717467830729 \tabularnewline
0.3 & 89.1771650010646 & 0.991641720778942 \tabularnewline
0.31 & 89.3945944671041 & 1.08104896544024 \tabularnewline
0.32 & 89.6286647151969 & 1.17243838915492 \tabularnewline
0.33 & 89.8791042954697 & 1.26204349748503 \tabularnewline
0.34 & 90.1448380653878 & 1.34402966155331 \tabularnewline
0.35 & 90.4238408466617 & 1.41304911777769 \tabularnewline
0.36 & 90.7131370600477 & 1.46338421625856 \tabularnewline
0.37 & 91.0089693763528 & 1.49161523296086 \tabularnewline
0.38 & 91.307116191089 & 1.49600468046042 \tabularnewline
0.39 & 91.60330079162 & 1.47766274424316 \tabularnewline
0.4 & 91.8936146718506 & 1.43957067890857 \tabularnewline
0.41 & 92.174878030496 & 1.38669901235509 \tabularnewline
0.42 & 92.4448798918207 & 1.32516009273637 \tabularnewline
0.43 & 92.7024710791892 & 1.26056193301993 \tabularnewline
0.44 & 92.9475157003581 & 1.19805526561074 \tabularnewline
0.45 & 93.1807321261013 & 1.14176163055434 \tabularnewline
0.46 & 93.4034674725727 & 1.09412489722945 \tabularnewline
0.47 & 93.6174497245065 & 1.05637279756726 \tabularnewline
0.48 & 93.8245522114501 & 1.02842682337849 \tabularnewline
0.49 & 94.026591661688 & 1.00937468078801 \tabularnewline
0.5 & 94.2251688960576 & 0.997797468074377 \tabularnewline
0.51 & 94.4215538243625 & 0.991705701394747 \tabularnewline
0.52 & 94.6166143778251 & 0.988553126084255 \tabularnewline
0.53 & 94.8107904048126 & 0.98614739025453 \tabularnewline
0.54 & 95.0041150878194 & 0.982201148399728 \tabularnewline
0.55 & 95.1962851139492 & 0.97497175227316 \tabularnewline
0.56 & 95.3867753535709 & 0.963397491048104 \tabularnewline
0.57 & 95.5749852127822 & 0.947311418751144 \tabularnewline
0.58 & 95.7603951219713 & 0.927791530164717 \tabularnewline
0.59 & 95.9427065070219 & 0.906409711963641 \tabularnewline
0.6 & 96.1219398416461 & 0.885474821278474 \tabularnewline
0.61 & 96.2984735314159 & 0.86698918940428 \tabularnewline
0.62 & 96.47301927903 & 0.853097387434739 \tabularnewline
0.63 & 96.6465430840409 & 0.844678899281836 \tabularnewline
0.64 & 96.8201506161515 & 0.842242910517499 \tabularnewline
0.65 & 96.9949583528819 & 0.845073033885218 \tabularnewline
0.66 & 97.1719674388562 & 0.852280789852874 \tabularnewline
0.67 & 97.3519486072015 & 0.862338935125263 \tabularnewline
0.68 & 97.5353384842859 & 0.873639620053846 \tabularnewline
0.69 & 97.722144692794 & 0.883821715639792 \tabularnewline
0.7 & 97.9118613865144 & 0.890719883398397 \tabularnewline
0.71 & 98.1034064025323 & 0.891500067761855 \tabularnewline
0.72 & 98.2951009080225 & 0.883345839063828 \tabularnewline
0.73 & 98.484715819315 & 0.863778741563348 \tabularnewline
0.74 & 98.6696018757115 & 0.831176156866802 \tabularnewline
0.75 & 98.8469022037714 & 0.785036311530236 \tabularnewline
0.76 & 99.013823091527 & 0.726390818267455 \tabularnewline
0.77 & 99.1679195981631 & 0.657748614935912 \tabularnewline
0.78 & 99.3073460395271 & 0.582634001454834 \tabularnewline
0.79 & 99.431030760381 & 0.50508756931284 \tabularnewline
0.8 & 99.5387560404099 & 0.42917260475103 \tabularnewline
0.81 & 99.6311478235108 & 0.358365885658056 \tabularnewline
0.82 & 99.7095959537176 & 0.29557629680717 \tabularnewline
0.83 & 99.7761289998635 & 0.242822196027576 \tabularnewline
0.84 & 99.8332622689383 & 0.201583445952148 \tabularnewline
0.85 & 99.8838321528736 & 0.172568818628378 \tabularnewline
0.86 & 99.9308300560409 & 0.155890858217781 \tabularnewline
0.87 & 99.9772495190341 & 0.150434738914733 \tabularnewline
0.88 & 100.02594768636 & 0.15447424180542 \tabularnewline
0.89 & 100.079493371673 & 0.165858696050591 \tabularnewline
0.9 & 100.139953798269 & 0.182055121476085 \tabularnewline
0.91 & 100.208606156677 & 0.199598251810721 \tabularnewline
0.92 & 100.285658286196 & 0.21391025792776 \tabularnewline
0.93 & 100.370138077929 & 0.220698090226769 \tabularnewline
0.94 & 100.4600413106 & 0.217665245766937 \tabularnewline
0.95 & 100.552714326809 & 0.205065680125515 \tabularnewline
0.96 & 100.645716215923 & 0.183397489779446 \tabularnewline
0.97 & 100.738762533675 & 0.154440578501611 \tabularnewline
0.98 & 100.83482466435 & 0.134646177650872 \tabularnewline
0.99 & 100.931372426646 & 0.15610364686165 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292838&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]84.2403289874014[/C][C]0.335048572207407[/C][/ROW]
[ROW][C]0.02[/C][C]84.5217468199025[/C][C]0.570638035596645[/C][/ROW]
[ROW][C]0.03[/C][C]84.8929434156424[/C][C]0.734949462011267[/C][/ROW]
[ROW][C]0.04[/C][C]85.290310477906[/C][C]0.768616193380172[/C][/ROW]
[ROW][C]0.05[/C][C]85.6616926714204[/C][C]0.705782770325127[/C][/ROW]
[ROW][C]0.06[/C][C]85.9784925403944[/C][C]0.604744481084025[/C][/ROW]
[ROW][C]0.07[/C][C]86.2345930372186[/C][C]0.505743459335617[/C][/ROW]
[ROW][C]0.08[/C][C]86.4374436342861[/C][C]0.425383259494217[/C][/ROW]
[ROW][C]0.09[/C][C]86.5993621249393[/C][C]0.36722126820575[/C][/ROW]
[ROW][C]0.1[/C][C]86.7325574718885[/C][C]0.330849299873443[/C][/ROW]
[ROW][C]0.11[/C][C]86.847281021727[/C][C]0.314500384093576[/C][/ROW]
[ROW][C]0.12[/C][C]86.9514590301897[/C][C]0.314848731210847[/C][/ROW]
[ROW][C]0.13[/C][C]87.0507539255939[/C][C]0.32639133326547[/C][/ROW]
[ROW][C]0.14[/C][C]87.1487297754247[/C][C]0.342850169172653[/C][/ROW]
[ROW][C]0.15[/C][C]87.2471407882361[/C][C]0.359056381366466[/C][/ROW]
[ROW][C]0.16[/C][C]87.3463944405657[/C][C]0.371693249678994[/C][/ROW]
[ROW][C]0.17[/C][C]87.446154521001[/C][C]0.379861212762455[/C][/ROW]
[ROW][C]0.18[/C][C]87.5459697640885[/C][C]0.38562155835644[/C][/ROW]
[ROW][C]0.19[/C][C]87.6457896036226[/C][C]0.392627931399463[/C][/ROW]
[ROW][C]0.2[/C][C]87.7462616199273[/C][C]0.405086158458766[/C][/ROW]
[ROW][C]0.21[/C][C]87.8487740013891[/C][C]0.426631381644341[/C][/ROW]
[ROW][C]0.22[/C][C]87.955281300506[/C][C]0.459431920697827[/C][/ROW]
[ROW][C]0.23[/C][C]88.0680065350484[/C][C]0.503140056117844[/C][/ROW]
[ROW][C]0.24[/C][C]88.1891317207534[/C][C]0.556283345745407[/C][/ROW]
[ROW][C]0.25[/C][C]88.3205706758292[/C][C]0.616494626143529[/C][/ROW]
[ROW][C]0.26[/C][C]88.46387301437[/C][C]0.682107880120254[/C][/ROW]
[ROW][C]0.27[/C][C]88.620254110192[/C][C]0.75238519214418[/C][/ROW]
[ROW][C]0.28[/C][C]88.7907004805377[/C][C]0.826991915453615[/C][/ROW]
[ROW][C]0.29[/C][C]88.9760767989761[/C][C]0.906717467830729[/C][/ROW]
[ROW][C]0.3[/C][C]89.1771650010646[/C][C]0.991641720778942[/C][/ROW]
[ROW][C]0.31[/C][C]89.3945944671041[/C][C]1.08104896544024[/C][/ROW]
[ROW][C]0.32[/C][C]89.6286647151969[/C][C]1.17243838915492[/C][/ROW]
[ROW][C]0.33[/C][C]89.8791042954697[/C][C]1.26204349748503[/C][/ROW]
[ROW][C]0.34[/C][C]90.1448380653878[/C][C]1.34402966155331[/C][/ROW]
[ROW][C]0.35[/C][C]90.4238408466617[/C][C]1.41304911777769[/C][/ROW]
[ROW][C]0.36[/C][C]90.7131370600477[/C][C]1.46338421625856[/C][/ROW]
[ROW][C]0.37[/C][C]91.0089693763528[/C][C]1.49161523296086[/C][/ROW]
[ROW][C]0.38[/C][C]91.307116191089[/C][C]1.49600468046042[/C][/ROW]
[ROW][C]0.39[/C][C]91.60330079162[/C][C]1.47766274424316[/C][/ROW]
[ROW][C]0.4[/C][C]91.8936146718506[/C][C]1.43957067890857[/C][/ROW]
[ROW][C]0.41[/C][C]92.174878030496[/C][C]1.38669901235509[/C][/ROW]
[ROW][C]0.42[/C][C]92.4448798918207[/C][C]1.32516009273637[/C][/ROW]
[ROW][C]0.43[/C][C]92.7024710791892[/C][C]1.26056193301993[/C][/ROW]
[ROW][C]0.44[/C][C]92.9475157003581[/C][C]1.19805526561074[/C][/ROW]
[ROW][C]0.45[/C][C]93.1807321261013[/C][C]1.14176163055434[/C][/ROW]
[ROW][C]0.46[/C][C]93.4034674725727[/C][C]1.09412489722945[/C][/ROW]
[ROW][C]0.47[/C][C]93.6174497245065[/C][C]1.05637279756726[/C][/ROW]
[ROW][C]0.48[/C][C]93.8245522114501[/C][C]1.02842682337849[/C][/ROW]
[ROW][C]0.49[/C][C]94.026591661688[/C][C]1.00937468078801[/C][/ROW]
[ROW][C]0.5[/C][C]94.2251688960576[/C][C]0.997797468074377[/C][/ROW]
[ROW][C]0.51[/C][C]94.4215538243625[/C][C]0.991705701394747[/C][/ROW]
[ROW][C]0.52[/C][C]94.6166143778251[/C][C]0.988553126084255[/C][/ROW]
[ROW][C]0.53[/C][C]94.8107904048126[/C][C]0.98614739025453[/C][/ROW]
[ROW][C]0.54[/C][C]95.0041150878194[/C][C]0.982201148399728[/C][/ROW]
[ROW][C]0.55[/C][C]95.1962851139492[/C][C]0.97497175227316[/C][/ROW]
[ROW][C]0.56[/C][C]95.3867753535709[/C][C]0.963397491048104[/C][/ROW]
[ROW][C]0.57[/C][C]95.5749852127822[/C][C]0.947311418751144[/C][/ROW]
[ROW][C]0.58[/C][C]95.7603951219713[/C][C]0.927791530164717[/C][/ROW]
[ROW][C]0.59[/C][C]95.9427065070219[/C][C]0.906409711963641[/C][/ROW]
[ROW][C]0.6[/C][C]96.1219398416461[/C][C]0.885474821278474[/C][/ROW]
[ROW][C]0.61[/C][C]96.2984735314159[/C][C]0.86698918940428[/C][/ROW]
[ROW][C]0.62[/C][C]96.47301927903[/C][C]0.853097387434739[/C][/ROW]
[ROW][C]0.63[/C][C]96.6465430840409[/C][C]0.844678899281836[/C][/ROW]
[ROW][C]0.64[/C][C]96.8201506161515[/C][C]0.842242910517499[/C][/ROW]
[ROW][C]0.65[/C][C]96.9949583528819[/C][C]0.845073033885218[/C][/ROW]
[ROW][C]0.66[/C][C]97.1719674388562[/C][C]0.852280789852874[/C][/ROW]
[ROW][C]0.67[/C][C]97.3519486072015[/C][C]0.862338935125263[/C][/ROW]
[ROW][C]0.68[/C][C]97.5353384842859[/C][C]0.873639620053846[/C][/ROW]
[ROW][C]0.69[/C][C]97.722144692794[/C][C]0.883821715639792[/C][/ROW]
[ROW][C]0.7[/C][C]97.9118613865144[/C][C]0.890719883398397[/C][/ROW]
[ROW][C]0.71[/C][C]98.1034064025323[/C][C]0.891500067761855[/C][/ROW]
[ROW][C]0.72[/C][C]98.2951009080225[/C][C]0.883345839063828[/C][/ROW]
[ROW][C]0.73[/C][C]98.484715819315[/C][C]0.863778741563348[/C][/ROW]
[ROW][C]0.74[/C][C]98.6696018757115[/C][C]0.831176156866802[/C][/ROW]
[ROW][C]0.75[/C][C]98.8469022037714[/C][C]0.785036311530236[/C][/ROW]
[ROW][C]0.76[/C][C]99.013823091527[/C][C]0.726390818267455[/C][/ROW]
[ROW][C]0.77[/C][C]99.1679195981631[/C][C]0.657748614935912[/C][/ROW]
[ROW][C]0.78[/C][C]99.3073460395271[/C][C]0.582634001454834[/C][/ROW]
[ROW][C]0.79[/C][C]99.431030760381[/C][C]0.50508756931284[/C][/ROW]
[ROW][C]0.8[/C][C]99.5387560404099[/C][C]0.42917260475103[/C][/ROW]
[ROW][C]0.81[/C][C]99.6311478235108[/C][C]0.358365885658056[/C][/ROW]
[ROW][C]0.82[/C][C]99.7095959537176[/C][C]0.29557629680717[/C][/ROW]
[ROW][C]0.83[/C][C]99.7761289998635[/C][C]0.242822196027576[/C][/ROW]
[ROW][C]0.84[/C][C]99.8332622689383[/C][C]0.201583445952148[/C][/ROW]
[ROW][C]0.85[/C][C]99.8838321528736[/C][C]0.172568818628378[/C][/ROW]
[ROW][C]0.86[/C][C]99.9308300560409[/C][C]0.155890858217781[/C][/ROW]
[ROW][C]0.87[/C][C]99.9772495190341[/C][C]0.150434738914733[/C][/ROW]
[ROW][C]0.88[/C][C]100.02594768636[/C][C]0.15447424180542[/C][/ROW]
[ROW][C]0.89[/C][C]100.079493371673[/C][C]0.165858696050591[/C][/ROW]
[ROW][C]0.9[/C][C]100.139953798269[/C][C]0.182055121476085[/C][/ROW]
[ROW][C]0.91[/C][C]100.208606156677[/C][C]0.199598251810721[/C][/ROW]
[ROW][C]0.92[/C][C]100.285658286196[/C][C]0.21391025792776[/C][/ROW]
[ROW][C]0.93[/C][C]100.370138077929[/C][C]0.220698090226769[/C][/ROW]
[ROW][C]0.94[/C][C]100.4600413106[/C][C]0.217665245766937[/C][/ROW]
[ROW][C]0.95[/C][C]100.552714326809[/C][C]0.205065680125515[/C][/ROW]
[ROW][C]0.96[/C][C]100.645716215923[/C][C]0.183397489779446[/C][/ROW]
[ROW][C]0.97[/C][C]100.738762533675[/C][C]0.154440578501611[/C][/ROW]
[ROW][C]0.98[/C][C]100.83482466435[/C][C]0.134646177650872[/C][/ROW]
[ROW][C]0.99[/C][C]100.931372426646[/C][C]0.15610364686165[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292838&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292838&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	84.2403289874014	0.335048572207407
0.02	84.5217468199025	0.570638035596645
0.03	84.8929434156424	0.734949462011267
0.04	85.290310477906	0.768616193380172
0.05	85.6616926714204	0.705782770325127
0.06	85.9784925403944	0.604744481084025
0.07	86.2345930372186	0.505743459335617
0.08	86.4374436342861	0.425383259494217
0.09	86.5993621249393	0.36722126820575
0.1	86.7325574718885	0.330849299873443
0.11	86.847281021727	0.314500384093576
0.12	86.9514590301897	0.314848731210847
0.13	87.0507539255939	0.32639133326547
0.14	87.1487297754247	0.342850169172653
0.15	87.2471407882361	0.359056381366466
0.16	87.3463944405657	0.371693249678994
0.17	87.446154521001	0.379861212762455
0.18	87.5459697640885	0.38562155835644
0.19	87.6457896036226	0.392627931399463
0.2	87.7462616199273	0.405086158458766
0.21	87.8487740013891	0.426631381644341
0.22	87.955281300506	0.459431920697827
0.23	88.0680065350484	0.503140056117844
0.24	88.1891317207534	0.556283345745407
0.25	88.3205706758292	0.616494626143529
0.26	88.46387301437	0.682107880120254
0.27	88.620254110192	0.75238519214418
0.28	88.7907004805377	0.826991915453615
0.29	88.9760767989761	0.906717467830729
0.3	89.1771650010646	0.991641720778942
0.31	89.3945944671041	1.08104896544024
0.32	89.6286647151969	1.17243838915492
0.33	89.8791042954697	1.26204349748503
0.34	90.1448380653878	1.34402966155331
0.35	90.4238408466617	1.41304911777769
0.36	90.7131370600477	1.46338421625856
0.37	91.0089693763528	1.49161523296086
0.38	91.307116191089	1.49600468046042
0.39	91.60330079162	1.47766274424316
0.4	91.8936146718506	1.43957067890857
0.41	92.174878030496	1.38669901235509
0.42	92.4448798918207	1.32516009273637
0.43	92.7024710791892	1.26056193301993
0.44	92.9475157003581	1.19805526561074
0.45	93.1807321261013	1.14176163055434
0.46	93.4034674725727	1.09412489722945
0.47	93.6174497245065	1.05637279756726
0.48	93.8245522114501	1.02842682337849
0.49	94.026591661688	1.00937468078801
0.5	94.2251688960576	0.997797468074377
0.51	94.4215538243625	0.991705701394747
0.52	94.6166143778251	0.988553126084255
0.53	94.8107904048126	0.98614739025453
0.54	95.0041150878194	0.982201148399728
0.55	95.1962851139492	0.97497175227316
0.56	95.3867753535709	0.963397491048104
0.57	95.5749852127822	0.947311418751144
0.58	95.7603951219713	0.927791530164717
0.59	95.9427065070219	0.906409711963641
0.6	96.1219398416461	0.885474821278474
0.61	96.2984735314159	0.86698918940428
0.62	96.47301927903	0.853097387434739
0.63	96.6465430840409	0.844678899281836
0.64	96.8201506161515	0.842242910517499
0.65	96.9949583528819	0.845073033885218
0.66	97.1719674388562	0.852280789852874
0.67	97.3519486072015	0.862338935125263
0.68	97.5353384842859	0.873639620053846
0.69	97.722144692794	0.883821715639792
0.7	97.9118613865144	0.890719883398397
0.71	98.1034064025323	0.891500067761855
0.72	98.2951009080225	0.883345839063828
0.73	98.484715819315	0.863778741563348
0.74	98.6696018757115	0.831176156866802
0.75	98.8469022037714	0.785036311530236
0.76	99.013823091527	0.726390818267455
0.77	99.1679195981631	0.657748614935912
0.78	99.3073460395271	0.582634001454834
0.79	99.431030760381	0.50508756931284
0.8	99.5387560404099	0.42917260475103
0.81	99.6311478235108	0.358365885658056
0.82	99.7095959537176	0.29557629680717
0.83	99.7761289998635	0.242822196027576
0.84	99.8332622689383	0.201583445952148
0.85	99.8838321528736	0.172568818628378
0.86	99.9308300560409	0.155890858217781
0.87	99.9772495190341	0.150434738914733
0.88	100.02594768636	0.15447424180542
0.89	100.079493371673	0.165858696050591
0.9	100.139953798269	0.182055121476085
0.91	100.208606156677	0.199598251810721
0.92	100.285658286196	0.21391025792776
0.93	100.370138077929	0.220698090226769
0.94	100.4600413106	0.217665245766937
0.95	100.552714326809	0.205065680125515
0.96	100.645716215923	0.183397489779446
0.97	100.738762533675	0.154440578501611
0.98	100.83482466435	0.134646177650872
0.99	100.931372426646	0.15610364686165

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