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*Unverified author*

R Software Module

rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Thu, 08 Oct 2015 15:52:36 +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/2015/Oct/08/t1444316031oy6hbj2otvylzoi.htm/, Retrieved Wed, 15 May 2024 13:32:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281473, Retrieved Wed, 15 May 2024 13:32:43 +0000

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-       [Harrell-Davis Quantiles] [Percentielen eige...] [2015-10-08 14:52:36] [9de61432ca342460988ae3c030b81fa6] [Current]

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-12
-12
-8
-6
-2
4
3
5
8
5
3
6
15
12
11
12
14
18
15
16
-1
-5
-6
-5
-2
-9
-9
-12
-16
-19
-30
-26
-22
-31
-33
-31
-27
-29
-33
-27
-22
-23
-23
-15
-15
-24
-18
-14
-7
-12
-12
-15
-16
-17
-13
-8
-13
-13
-11
-16
-34
-35
-38
-32
-37
-39
-31
-30
-29
-36
-41
-42
-33
-43
-41
-34
-32
-36
-37
-30
-32
-30
-21
-19
-6
-11
-11

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	'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=281473&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=281473&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281473&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	'George Udny Yule' @ yule.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	-42.5479577282563	0.976356133199091
0.02	-41.8417181916523	1.0753628869463
0.03	-41.0726434434533	1.30233174215773
0.04	-40.2882449337399	1.55866828513023
0.05	-39.4950245301573	1.72140177010665
0.06	-38.7161008996482	1.74871489898425
0.07	-37.9821067130081	1.6850535317183
0.08	-37.3108466916023	1.60190788246836
0.09	-36.7017790679619	1.54603841056363
0.1	-36.1431469605182	1.52498774267947
0.11	-35.6217095321673	1.52111686979535
0.12	-35.128657281931	1.51288773319188
0.13	-34.6606805646751	1.48727474820856
0.14	-34.2180549649047	1.4425017894033
0.15	-33.801991349893	1.38515337962021
0.16	-33.4126828816639	1.32535969477476
0.17	-33.0485064058022	1.27231961152875
0.18	-32.7061713038938	1.23213594591497
0.19	-32.3813382994578	1.20727921479943
0.2	-32.0692569726419	1.19806583704243
0.21	-31.7651477495253	1.20429473975418
0.22	-31.4642571704995	1.22704274229092
0.23	-31.1616694871504	1.269311662078
0.24	-30.8520367004057	1.33578414837078
0.25	-30.5293981380309	1.43165082596179
0.26	-30.1872181589345	1.56086636934565
0.27	-29.8186977423404	1.72446317352568
0.28	-29.4173328961653	1.91922424791627
0.29	-28.9776192418186	2.13781180646018
0.3	-28.4957548815327	2.36932894627628
0.31	-27.9701845035161	2.60094387962749
0.32	-27.4018593964359	2.81963397133647
0.33	-26.7941525595024	3.01401136788392
0.34	-26.1524480847085	3.17578758677545
0.35	-25.4834976793159	3.30049627124969
0.36	-24.7946847692846	3.38764093660354
0.37	-24.0933460398091	3.43978920782824
0.38	-23.3862706612778	3.461362713047
0.39	-22.6794390916753	3.45704524260913
0.4	-21.9779942898994	3.43079722058861
0.41	-21.2863786293437	3.38491701720681
0.42	-20.6085360231539	3.32032475696346
0.43	-19.948078358437	3.23712739407459
0.44	-19.3083453870838	3.13556984837695
0.45	-18.6923358652141	3.01699608582254
0.46	-18.1025383711141	2.88430256396039
0.47	-17.5407269633748	2.74197809230877
0.48	-17.0077992670005	2.59555109704102
0.49	-16.5037205065804	2.4506680489968
0.5	-16.0276024525523	2.3123070714142
0.51	-15.5779029741315	2.18365141036387
0.52	-15.1526935294686	2.06610987809025
0.53	-14.7499199031722	1.95921430295858
0.54	-14.3675819862039	1.86148813368363
0.55	-14.0037809173893	1.77147763626674
0.56	-13.6566199133846	1.68867820675772
0.57	-13.3239880556516	1.61436425823775
0.58	-13.0032925929635	1.55177396886367
0.59	-12.6912253189477	1.50573562636473
0.6	-12.3836468881608	1.48176401300505
0.61	-12.0756494714644	1.48459401221511
0.62	-11.76181799556	1.51667496605177
0.63	-11.4366622515033	1.5770802692012
0.64	-11.095147023189	1.66122941418582
0.65	-10.7332151280037	1.76157214646651
0.66	-10.3481862915121	1.86896730833562
0.67	-9.93892653036619	1.97428705079928
0.68	-9.50571726630893	2.07007435762438
0.69	-9.04980598705071	2.15198609183575
0.7	-8.57268340752184	2.21993825475339
0.71	-8.07519658711065	2.27856987195487
0.72	-7.55666309032201	2.33700067485176
0.73	-7.01418696522691	2.40748652402278
0.74	-6.44238151380742	2.50301486337935
0.75	-5.83366587408482	2.63383603445287
0.76	-5.17921535964017	2.80380335604816
0.77	-4.47051016830875	3.00768999773615
0.78	-3.70125679178429	3.23044719614846
0.79	-2.8692810392183	3.44886428384283
0.8	-1.97785936113203	3.63547757252696
0.81	-1.03593037042742	3.76428002639408
0.82	-0.0567793132783894	3.8174544878056
0.83	0.94484010605282	3.79172278387911
0.84	1.95661146920713	3.70223622285699
0.85	2.97242259105426	3.58158814810273
0.86	3.99441340976163	3.4715630687176
0.87	5.03188821981952	3.40685378781516
0.88	6.09667213594136	3.39547959005642
0.89	7.19617521197393	3.40857930143052
0.9	8.32702429897181	3.39099507141669
0.91	9.4724219616623	3.28855938568061
0.92	10.6046411905473	3.07480540974422
0.93	11.6912347781828	2.75966078900026
0.94	12.7025747562516	2.37471706568187
0.95	13.6217004053533	1.95435350042871
0.96	14.4620811745306	1.54812868246572
0.97	15.2914401604393	1.26877861134233
0.98	16.2187158880208	1.28735446020442
0.99	17.2430694109539	1.62370467994301

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -42.5479577282563 & 0.976356133199091 \tabularnewline
0.02 & -41.8417181916523 & 1.0753628869463 \tabularnewline
0.03 & -41.0726434434533 & 1.30233174215773 \tabularnewline
0.04 & -40.2882449337399 & 1.55866828513023 \tabularnewline
0.05 & -39.4950245301573 & 1.72140177010665 \tabularnewline
0.06 & -38.7161008996482 & 1.74871489898425 \tabularnewline
0.07 & -37.9821067130081 & 1.6850535317183 \tabularnewline
0.08 & -37.3108466916023 & 1.60190788246836 \tabularnewline
0.09 & -36.7017790679619 & 1.54603841056363 \tabularnewline
0.1 & -36.1431469605182 & 1.52498774267947 \tabularnewline
0.11 & -35.6217095321673 & 1.52111686979535 \tabularnewline
0.12 & -35.128657281931 & 1.51288773319188 \tabularnewline
0.13 & -34.6606805646751 & 1.48727474820856 \tabularnewline
0.14 & -34.2180549649047 & 1.4425017894033 \tabularnewline
0.15 & -33.801991349893 & 1.38515337962021 \tabularnewline
0.16 & -33.4126828816639 & 1.32535969477476 \tabularnewline
0.17 & -33.0485064058022 & 1.27231961152875 \tabularnewline
0.18 & -32.7061713038938 & 1.23213594591497 \tabularnewline
0.19 & -32.3813382994578 & 1.20727921479943 \tabularnewline
0.2 & -32.0692569726419 & 1.19806583704243 \tabularnewline
0.21 & -31.7651477495253 & 1.20429473975418 \tabularnewline
0.22 & -31.4642571704995 & 1.22704274229092 \tabularnewline
0.23 & -31.1616694871504 & 1.269311662078 \tabularnewline
0.24 & -30.8520367004057 & 1.33578414837078 \tabularnewline
0.25 & -30.5293981380309 & 1.43165082596179 \tabularnewline
0.26 & -30.1872181589345 & 1.56086636934565 \tabularnewline
0.27 & -29.8186977423404 & 1.72446317352568 \tabularnewline
0.28 & -29.4173328961653 & 1.91922424791627 \tabularnewline
0.29 & -28.9776192418186 & 2.13781180646018 \tabularnewline
0.3 & -28.4957548815327 & 2.36932894627628 \tabularnewline
0.31 & -27.9701845035161 & 2.60094387962749 \tabularnewline
0.32 & -27.4018593964359 & 2.81963397133647 \tabularnewline
0.33 & -26.7941525595024 & 3.01401136788392 \tabularnewline
0.34 & -26.1524480847085 & 3.17578758677545 \tabularnewline
0.35 & -25.4834976793159 & 3.30049627124969 \tabularnewline
0.36 & -24.7946847692846 & 3.38764093660354 \tabularnewline
0.37 & -24.0933460398091 & 3.43978920782824 \tabularnewline
0.38 & -23.3862706612778 & 3.461362713047 \tabularnewline
0.39 & -22.6794390916753 & 3.45704524260913 \tabularnewline
0.4 & -21.9779942898994 & 3.43079722058861 \tabularnewline
0.41 & -21.2863786293437 & 3.38491701720681 \tabularnewline
0.42 & -20.6085360231539 & 3.32032475696346 \tabularnewline
0.43 & -19.948078358437 & 3.23712739407459 \tabularnewline
0.44 & -19.3083453870838 & 3.13556984837695 \tabularnewline
0.45 & -18.6923358652141 & 3.01699608582254 \tabularnewline
0.46 & -18.1025383711141 & 2.88430256396039 \tabularnewline
0.47 & -17.5407269633748 & 2.74197809230877 \tabularnewline
0.48 & -17.0077992670005 & 2.59555109704102 \tabularnewline
0.49 & -16.5037205065804 & 2.4506680489968 \tabularnewline
0.5 & -16.0276024525523 & 2.3123070714142 \tabularnewline
0.51 & -15.5779029741315 & 2.18365141036387 \tabularnewline
0.52 & -15.1526935294686 & 2.06610987809025 \tabularnewline
0.53 & -14.7499199031722 & 1.95921430295858 \tabularnewline
0.54 & -14.3675819862039 & 1.86148813368363 \tabularnewline
0.55 & -14.0037809173893 & 1.77147763626674 \tabularnewline
0.56 & -13.6566199133846 & 1.68867820675772 \tabularnewline
0.57 & -13.3239880556516 & 1.61436425823775 \tabularnewline
0.58 & -13.0032925929635 & 1.55177396886367 \tabularnewline
0.59 & -12.6912253189477 & 1.50573562636473 \tabularnewline
0.6 & -12.3836468881608 & 1.48176401300505 \tabularnewline
0.61 & -12.0756494714644 & 1.48459401221511 \tabularnewline
0.62 & -11.76181799556 & 1.51667496605177 \tabularnewline
0.63 & -11.4366622515033 & 1.5770802692012 \tabularnewline
0.64 & -11.095147023189 & 1.66122941418582 \tabularnewline
0.65 & -10.7332151280037 & 1.76157214646651 \tabularnewline
0.66 & -10.3481862915121 & 1.86896730833562 \tabularnewline
0.67 & -9.93892653036619 & 1.97428705079928 \tabularnewline
0.68 & -9.50571726630893 & 2.07007435762438 \tabularnewline
0.69 & -9.04980598705071 & 2.15198609183575 \tabularnewline
0.7 & -8.57268340752184 & 2.21993825475339 \tabularnewline
0.71 & -8.07519658711065 & 2.27856987195487 \tabularnewline
0.72 & -7.55666309032201 & 2.33700067485176 \tabularnewline
0.73 & -7.01418696522691 & 2.40748652402278 \tabularnewline
0.74 & -6.44238151380742 & 2.50301486337935 \tabularnewline
0.75 & -5.83366587408482 & 2.63383603445287 \tabularnewline
0.76 & -5.17921535964017 & 2.80380335604816 \tabularnewline
0.77 & -4.47051016830875 & 3.00768999773615 \tabularnewline
0.78 & -3.70125679178429 & 3.23044719614846 \tabularnewline
0.79 & -2.8692810392183 & 3.44886428384283 \tabularnewline
0.8 & -1.97785936113203 & 3.63547757252696 \tabularnewline
0.81 & -1.03593037042742 & 3.76428002639408 \tabularnewline
0.82 & -0.0567793132783894 & 3.8174544878056 \tabularnewline
0.83 & 0.94484010605282 & 3.79172278387911 \tabularnewline
0.84 & 1.95661146920713 & 3.70223622285699 \tabularnewline
0.85 & 2.97242259105426 & 3.58158814810273 \tabularnewline
0.86 & 3.99441340976163 & 3.4715630687176 \tabularnewline
0.87 & 5.03188821981952 & 3.40685378781516 \tabularnewline
0.88 & 6.09667213594136 & 3.39547959005642 \tabularnewline
0.89 & 7.19617521197393 & 3.40857930143052 \tabularnewline
0.9 & 8.32702429897181 & 3.39099507141669 \tabularnewline
0.91 & 9.4724219616623 & 3.28855938568061 \tabularnewline
0.92 & 10.6046411905473 & 3.07480540974422 \tabularnewline
0.93 & 11.6912347781828 & 2.75966078900026 \tabularnewline
0.94 & 12.7025747562516 & 2.37471706568187 \tabularnewline
0.95 & 13.6217004053533 & 1.95435350042871 \tabularnewline
0.96 & 14.4620811745306 & 1.54812868246572 \tabularnewline
0.97 & 15.2914401604393 & 1.26877861134233 \tabularnewline
0.98 & 16.2187158880208 & 1.28735446020442 \tabularnewline
0.99 & 17.2430694109539 & 1.62370467994301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281473&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]-42.5479577282563[/C][C]0.976356133199091[/C][/ROW]
[ROW][C]0.02[/C][C]-41.8417181916523[/C][C]1.0753628869463[/C][/ROW]
[ROW][C]0.03[/C][C]-41.0726434434533[/C][C]1.30233174215773[/C][/ROW]
[ROW][C]0.04[/C][C]-40.2882449337399[/C][C]1.55866828513023[/C][/ROW]
[ROW][C]0.05[/C][C]-39.4950245301573[/C][C]1.72140177010665[/C][/ROW]
[ROW][C]0.06[/C][C]-38.7161008996482[/C][C]1.74871489898425[/C][/ROW]
[ROW][C]0.07[/C][C]-37.9821067130081[/C][C]1.6850535317183[/C][/ROW]
[ROW][C]0.08[/C][C]-37.3108466916023[/C][C]1.60190788246836[/C][/ROW]
[ROW][C]0.09[/C][C]-36.7017790679619[/C][C]1.54603841056363[/C][/ROW]
[ROW][C]0.1[/C][C]-36.1431469605182[/C][C]1.52498774267947[/C][/ROW]
[ROW][C]0.11[/C][C]-35.6217095321673[/C][C]1.52111686979535[/C][/ROW]
[ROW][C]0.12[/C][C]-35.128657281931[/C][C]1.51288773319188[/C][/ROW]
[ROW][C]0.13[/C][C]-34.6606805646751[/C][C]1.48727474820856[/C][/ROW]
[ROW][C]0.14[/C][C]-34.2180549649047[/C][C]1.4425017894033[/C][/ROW]
[ROW][C]0.15[/C][C]-33.801991349893[/C][C]1.38515337962021[/C][/ROW]
[ROW][C]0.16[/C][C]-33.4126828816639[/C][C]1.32535969477476[/C][/ROW]
[ROW][C]0.17[/C][C]-33.0485064058022[/C][C]1.27231961152875[/C][/ROW]
[ROW][C]0.18[/C][C]-32.7061713038938[/C][C]1.23213594591497[/C][/ROW]
[ROW][C]0.19[/C][C]-32.3813382994578[/C][C]1.20727921479943[/C][/ROW]
[ROW][C]0.2[/C][C]-32.0692569726419[/C][C]1.19806583704243[/C][/ROW]
[ROW][C]0.21[/C][C]-31.7651477495253[/C][C]1.20429473975418[/C][/ROW]
[ROW][C]0.22[/C][C]-31.4642571704995[/C][C]1.22704274229092[/C][/ROW]
[ROW][C]0.23[/C][C]-31.1616694871504[/C][C]1.269311662078[/C][/ROW]
[ROW][C]0.24[/C][C]-30.8520367004057[/C][C]1.33578414837078[/C][/ROW]
[ROW][C]0.25[/C][C]-30.5293981380309[/C][C]1.43165082596179[/C][/ROW]
[ROW][C]0.26[/C][C]-30.1872181589345[/C][C]1.56086636934565[/C][/ROW]
[ROW][C]0.27[/C][C]-29.8186977423404[/C][C]1.72446317352568[/C][/ROW]
[ROW][C]0.28[/C][C]-29.4173328961653[/C][C]1.91922424791627[/C][/ROW]
[ROW][C]0.29[/C][C]-28.9776192418186[/C][C]2.13781180646018[/C][/ROW]
[ROW][C]0.3[/C][C]-28.4957548815327[/C][C]2.36932894627628[/C][/ROW]
[ROW][C]0.31[/C][C]-27.9701845035161[/C][C]2.60094387962749[/C][/ROW]
[ROW][C]0.32[/C][C]-27.4018593964359[/C][C]2.81963397133647[/C][/ROW]
[ROW][C]0.33[/C][C]-26.7941525595024[/C][C]3.01401136788392[/C][/ROW]
[ROW][C]0.34[/C][C]-26.1524480847085[/C][C]3.17578758677545[/C][/ROW]
[ROW][C]0.35[/C][C]-25.4834976793159[/C][C]3.30049627124969[/C][/ROW]
[ROW][C]0.36[/C][C]-24.7946847692846[/C][C]3.38764093660354[/C][/ROW]
[ROW][C]0.37[/C][C]-24.0933460398091[/C][C]3.43978920782824[/C][/ROW]
[ROW][C]0.38[/C][C]-23.3862706612778[/C][C]3.461362713047[/C][/ROW]
[ROW][C]0.39[/C][C]-22.6794390916753[/C][C]3.45704524260913[/C][/ROW]
[ROW][C]0.4[/C][C]-21.9779942898994[/C][C]3.43079722058861[/C][/ROW]
[ROW][C]0.41[/C][C]-21.2863786293437[/C][C]3.38491701720681[/C][/ROW]
[ROW][C]0.42[/C][C]-20.6085360231539[/C][C]3.32032475696346[/C][/ROW]
[ROW][C]0.43[/C][C]-19.948078358437[/C][C]3.23712739407459[/C][/ROW]
[ROW][C]0.44[/C][C]-19.3083453870838[/C][C]3.13556984837695[/C][/ROW]
[ROW][C]0.45[/C][C]-18.6923358652141[/C][C]3.01699608582254[/C][/ROW]
[ROW][C]0.46[/C][C]-18.1025383711141[/C][C]2.88430256396039[/C][/ROW]
[ROW][C]0.47[/C][C]-17.5407269633748[/C][C]2.74197809230877[/C][/ROW]
[ROW][C]0.48[/C][C]-17.0077992670005[/C][C]2.59555109704102[/C][/ROW]
[ROW][C]0.49[/C][C]-16.5037205065804[/C][C]2.4506680489968[/C][/ROW]
[ROW][C]0.5[/C][C]-16.0276024525523[/C][C]2.3123070714142[/C][/ROW]
[ROW][C]0.51[/C][C]-15.5779029741315[/C][C]2.18365141036387[/C][/ROW]
[ROW][C]0.52[/C][C]-15.1526935294686[/C][C]2.06610987809025[/C][/ROW]
[ROW][C]0.53[/C][C]-14.7499199031722[/C][C]1.95921430295858[/C][/ROW]
[ROW][C]0.54[/C][C]-14.3675819862039[/C][C]1.86148813368363[/C][/ROW]
[ROW][C]0.55[/C][C]-14.0037809173893[/C][C]1.77147763626674[/C][/ROW]
[ROW][C]0.56[/C][C]-13.6566199133846[/C][C]1.68867820675772[/C][/ROW]
[ROW][C]0.57[/C][C]-13.3239880556516[/C][C]1.61436425823775[/C][/ROW]
[ROW][C]0.58[/C][C]-13.0032925929635[/C][C]1.55177396886367[/C][/ROW]
[ROW][C]0.59[/C][C]-12.6912253189477[/C][C]1.50573562636473[/C][/ROW]
[ROW][C]0.6[/C][C]-12.3836468881608[/C][C]1.48176401300505[/C][/ROW]
[ROW][C]0.61[/C][C]-12.0756494714644[/C][C]1.48459401221511[/C][/ROW]
[ROW][C]0.62[/C][C]-11.76181799556[/C][C]1.51667496605177[/C][/ROW]
[ROW][C]0.63[/C][C]-11.4366622515033[/C][C]1.5770802692012[/C][/ROW]
[ROW][C]0.64[/C][C]-11.095147023189[/C][C]1.66122941418582[/C][/ROW]
[ROW][C]0.65[/C][C]-10.7332151280037[/C][C]1.76157214646651[/C][/ROW]
[ROW][C]0.66[/C][C]-10.3481862915121[/C][C]1.86896730833562[/C][/ROW]
[ROW][C]0.67[/C][C]-9.93892653036619[/C][C]1.97428705079928[/C][/ROW]
[ROW][C]0.68[/C][C]-9.50571726630893[/C][C]2.07007435762438[/C][/ROW]
[ROW][C]0.69[/C][C]-9.04980598705071[/C][C]2.15198609183575[/C][/ROW]
[ROW][C]0.7[/C][C]-8.57268340752184[/C][C]2.21993825475339[/C][/ROW]
[ROW][C]0.71[/C][C]-8.07519658711065[/C][C]2.27856987195487[/C][/ROW]
[ROW][C]0.72[/C][C]-7.55666309032201[/C][C]2.33700067485176[/C][/ROW]
[ROW][C]0.73[/C][C]-7.01418696522691[/C][C]2.40748652402278[/C][/ROW]
[ROW][C]0.74[/C][C]-6.44238151380742[/C][C]2.50301486337935[/C][/ROW]
[ROW][C]0.75[/C][C]-5.83366587408482[/C][C]2.63383603445287[/C][/ROW]
[ROW][C]0.76[/C][C]-5.17921535964017[/C][C]2.80380335604816[/C][/ROW]
[ROW][C]0.77[/C][C]-4.47051016830875[/C][C]3.00768999773615[/C][/ROW]
[ROW][C]0.78[/C][C]-3.70125679178429[/C][C]3.23044719614846[/C][/ROW]
[ROW][C]0.79[/C][C]-2.8692810392183[/C][C]3.44886428384283[/C][/ROW]
[ROW][C]0.8[/C][C]-1.97785936113203[/C][C]3.63547757252696[/C][/ROW]
[ROW][C]0.81[/C][C]-1.03593037042742[/C][C]3.76428002639408[/C][/ROW]
[ROW][C]0.82[/C][C]-0.0567793132783894[/C][C]3.8174544878056[/C][/ROW]
[ROW][C]0.83[/C][C]0.94484010605282[/C][C]3.79172278387911[/C][/ROW]
[ROW][C]0.84[/C][C]1.95661146920713[/C][C]3.70223622285699[/C][/ROW]
[ROW][C]0.85[/C][C]2.97242259105426[/C][C]3.58158814810273[/C][/ROW]
[ROW][C]0.86[/C][C]3.99441340976163[/C][C]3.4715630687176[/C][/ROW]
[ROW][C]0.87[/C][C]5.03188821981952[/C][C]3.40685378781516[/C][/ROW]
[ROW][C]0.88[/C][C]6.09667213594136[/C][C]3.39547959005642[/C][/ROW]
[ROW][C]0.89[/C][C]7.19617521197393[/C][C]3.40857930143052[/C][/ROW]
[ROW][C]0.9[/C][C]8.32702429897181[/C][C]3.39099507141669[/C][/ROW]
[ROW][C]0.91[/C][C]9.4724219616623[/C][C]3.28855938568061[/C][/ROW]
[ROW][C]0.92[/C][C]10.6046411905473[/C][C]3.07480540974422[/C][/ROW]
[ROW][C]0.93[/C][C]11.6912347781828[/C][C]2.75966078900026[/C][/ROW]
[ROW][C]0.94[/C][C]12.7025747562516[/C][C]2.37471706568187[/C][/ROW]
[ROW][C]0.95[/C][C]13.6217004053533[/C][C]1.95435350042871[/C][/ROW]
[ROW][C]0.96[/C][C]14.4620811745306[/C][C]1.54812868246572[/C][/ROW]
[ROW][C]0.97[/C][C]15.2914401604393[/C][C]1.26877861134233[/C][/ROW]
[ROW][C]0.98[/C][C]16.2187158880208[/C][C]1.28735446020442[/C][/ROW]
[ROW][C]0.99[/C][C]17.2430694109539[/C][C]1.62370467994301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281473&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281473&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	-42.5479577282563	0.976356133199091
0.02	-41.8417181916523	1.0753628869463
0.03	-41.0726434434533	1.30233174215773
0.04	-40.2882449337399	1.55866828513023
0.05	-39.4950245301573	1.72140177010665
0.06	-38.7161008996482	1.74871489898425
0.07	-37.9821067130081	1.6850535317183
0.08	-37.3108466916023	1.60190788246836
0.09	-36.7017790679619	1.54603841056363
0.1	-36.1431469605182	1.52498774267947
0.11	-35.6217095321673	1.52111686979535
0.12	-35.128657281931	1.51288773319188
0.13	-34.6606805646751	1.48727474820856
0.14	-34.2180549649047	1.4425017894033
0.15	-33.801991349893	1.38515337962021
0.16	-33.4126828816639	1.32535969477476
0.17	-33.0485064058022	1.27231961152875
0.18	-32.7061713038938	1.23213594591497
0.19	-32.3813382994578	1.20727921479943
0.2	-32.0692569726419	1.19806583704243
0.21	-31.7651477495253	1.20429473975418
0.22	-31.4642571704995	1.22704274229092
0.23	-31.1616694871504	1.269311662078
0.24	-30.8520367004057	1.33578414837078
0.25	-30.5293981380309	1.43165082596179
0.26	-30.1872181589345	1.56086636934565
0.27	-29.8186977423404	1.72446317352568
0.28	-29.4173328961653	1.91922424791627
0.29	-28.9776192418186	2.13781180646018
0.3	-28.4957548815327	2.36932894627628
0.31	-27.9701845035161	2.60094387962749
0.32	-27.4018593964359	2.81963397133647
0.33	-26.7941525595024	3.01401136788392
0.34	-26.1524480847085	3.17578758677545
0.35	-25.4834976793159	3.30049627124969
0.36	-24.7946847692846	3.38764093660354
0.37	-24.0933460398091	3.43978920782824
0.38	-23.3862706612778	3.461362713047
0.39	-22.6794390916753	3.45704524260913
0.4	-21.9779942898994	3.43079722058861
0.41	-21.2863786293437	3.38491701720681
0.42	-20.6085360231539	3.32032475696346
0.43	-19.948078358437	3.23712739407459
0.44	-19.3083453870838	3.13556984837695
0.45	-18.6923358652141	3.01699608582254
0.46	-18.1025383711141	2.88430256396039
0.47	-17.5407269633748	2.74197809230877
0.48	-17.0077992670005	2.59555109704102
0.49	-16.5037205065804	2.4506680489968
0.5	-16.0276024525523	2.3123070714142
0.51	-15.5779029741315	2.18365141036387
0.52	-15.1526935294686	2.06610987809025
0.53	-14.7499199031722	1.95921430295858
0.54	-14.3675819862039	1.86148813368363
0.55	-14.0037809173893	1.77147763626674
0.56	-13.6566199133846	1.68867820675772
0.57	-13.3239880556516	1.61436425823775
0.58	-13.0032925929635	1.55177396886367
0.59	-12.6912253189477	1.50573562636473
0.6	-12.3836468881608	1.48176401300505
0.61	-12.0756494714644	1.48459401221511
0.62	-11.76181799556	1.51667496605177
0.63	-11.4366622515033	1.5770802692012
0.64	-11.095147023189	1.66122941418582
0.65	-10.7332151280037	1.76157214646651
0.66	-10.3481862915121	1.86896730833562
0.67	-9.93892653036619	1.97428705079928
0.68	-9.50571726630893	2.07007435762438
0.69	-9.04980598705071	2.15198609183575
0.7	-8.57268340752184	2.21993825475339
0.71	-8.07519658711065	2.27856987195487
0.72	-7.55666309032201	2.33700067485176
0.73	-7.01418696522691	2.40748652402278
0.74	-6.44238151380742	2.50301486337935
0.75	-5.83366587408482	2.63383603445287
0.76	-5.17921535964017	2.80380335604816
0.77	-4.47051016830875	3.00768999773615
0.78	-3.70125679178429	3.23044719614846
0.79	-2.8692810392183	3.44886428384283
0.8	-1.97785936113203	3.63547757252696
0.81	-1.03593037042742	3.76428002639408
0.82	-0.0567793132783894	3.8174544878056
0.83	0.94484010605282	3.79172278387911
0.84	1.95661146920713	3.70223622285699
0.85	2.97242259105426	3.58158814810273
0.86	3.99441340976163	3.4715630687176
0.87	5.03188821981952	3.40685378781516
0.88	6.09667213594136	3.39547959005642
0.89	7.19617521197393	3.40857930143052
0.9	8.32702429897181	3.39099507141669
0.91	9.4724219616623	3.28855938568061
0.92	10.6046411905473	3.07480540974422
0.93	11.6912347781828	2.75966078900026
0.94	12.7025747562516	2.37471706568187
0.95	13.6217004053533	1.95435350042871
0.96	14.4620811745306	1.54812868246572
0.97	15.2914401604393	1.26877861134233
0.98	16.2187158880208	1.28735446020442
0.99	17.2430694109539	1.62370467994301

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