## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 23 Mar 2010 20:52:13 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/23/t1269377657y9tbhq1wwb9euap.htm/, Retrieved Tue, 31 Jan 2023 06:45:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74574, Retrieved Tue, 31 Jan 2023 06:45:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact216
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [yet another test ...] [2010-03-23 20:52:13] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
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Dataseries X:
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74574&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74574&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74574&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 2 seconds R Server 'George Udny Yule' @ 72.249.76.132

 Harrell-Davis Quantiles quantiles value standard error 0.01 109.150230849763 4.63687489625989 0.02 113.779077638613 2.90870523792072 0.03 116.633442237508 3.05403495945027 0.04 119.089327450674 3.81450331742409 0.05 121.705270737898 4.77924780729857 0.06 124.557864486001 5.50274117163836 0.07 127.515327511040 5.81444178231279 0.08 130.419595354780 5.872127063422 0.09 133.203847576285 5.93848901802719 0.1 135.899876422882 6.17477380052541 0.11 138.583591445232 6.58519697363209 0.12 141.325336341498 7.10803477546612 0.13 144.172954858121 7.7096091055799 0.14 147.155944986974 8.38298004075171 0.15 150.287190287372 9.07971705454948 0.16 153.553682179571 9.68249417341907 0.17 156.906948865091 10.0511379585563 0.18 160.267694873463 10.1039247987614 0.19 163.547283036787 9.86154305541607 0.2 166.675201078387 9.43480784307638 0.21 169.618204262731 8.97188362039837 0.22 172.383675094335 8.6003466818426 0.23 175.009350006170 8.39155396196749 0.24 177.547057780703 8.35986553453783 0.25 180.047948835254 8.47712500292052 0.26 182.553439559663 8.69879912851458 0.27 185.092786385654 8.98515083720218 0.28 187.686092681172 9.31588936033581 0.29 190.350348343281 9.69934019114605 0.3 193.105350868185 10.1664093184706 0.31 195.976246446512 10.7499784881771 0.32 198.990493234875 11.4532734631736 0.33 202.169364413709 12.2302718470675 0.34 205.516881123363 12.9826324465661 0.35 209.010954478841 13.5833193549449 0.36 212.601423164891 13.9176658894968 0.37 216.217419435498 13.9207927073359 0.38 219.782965721350 13.6081073751274 0.39 223.236400589754 13.0774550130068 0.4 226.547536291559 12.4906438806074 0.41 229.726994437493 12.0370329353363 0.42 232.824647909859 11.8767442991110 0.43 235.917536178414 12.0966147651242 0.44 239.090841415940 12.6780607795077 0.45 242.417549299428 13.5134653612585 0.46 245.94271773444 14.4417252543967 0.47 249.676749210158 15.3075015957985 0.48 253.599102423847 15.9978213744618 0.49 257.670360282256 16.4731010757487 0.5 261.847700529762 16.7643689394466 0.51 266.097745175892 16.9494557109740 0.52 270.402066261019 17.1087192086989 0.53 274.753896703716 17.2816454716199 0.54 279.148503880124 17.4482639903899 0.55 283.572512084379 17.5384440274999 0.56 287.99791137036 17.4699415849820 0.57 292.384332975678 17.1915474563796 0.58 296.689365204046 16.7164257193332 0.59 300.882920514612 16.1290325517544 0.6 304.959580765654 15.5613840076562 0.61 308.943313296789 15.1523139786988 0.62 312.881757831763 14.9910179929937 0.63 316.831305273753 15.0814430100852 0.64 320.837859046431 15.3341018644062 0.65 324.920071255535 15.5970289332971 0.66 329.061226812732 15.7092121394782 0.67 333.21302989987 15.5577288646119 0.68 337.310490691161 15.1108979724758 0.69 341.293546736844 14.4307350853635 0.7 345.129285422109 13.660164796795 0.71 348.828936010885 12.9919166423782 0.72 352.455351251342 12.6291258604128 0.73 356.118347420821 12.7401473422285 0.74 359.95664599943 13.3975971376249 0.75 364.107143812027 14.5308866349823 0.76 368.666100053694 15.9135962714383 0.77 373.652391131141 17.2020994891716 0.78 378.987409211776 18.0311782774233 0.79 384.505038100044 18.1347930455094 0.8 389.995844808956 17.4506220830322 0.81 395.274874611208 16.1685676554640 0.82 400.250138445583 14.6874678963088 0.83 404.967014260745 13.5023718236671 0.84 409.613311476646 13.0541617167817 0.85 414.482518904067 13.5842976791154 0.86 419.899380713306 15.0337078196223 0.87 426.114775883399 17.0043911809049 0.88 433.192062080288 18.8088724505235 0.89 440.942956777904 19.6855361670077 0.9 448.998175964623 19.2280557726555 0.91 457.055390998795 17.8348373718043 0.92 465.210836421664 16.7933977923152 0.93 474.14211423957 17.5715534447813 0.94 484.94145559458 20.4413112579313 0.95 498.664530515484 24.1806678363787 0.96 516.007080916126 27.2108907676126 0.97 537.787632641292 29.1328416267477 0.98 565.939344954584 32.2382707131165 0.99 599.483847050472 30.192265348984

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 109.150230849763 & 4.63687489625989 \tabularnewline
0.02 & 113.779077638613 & 2.90870523792072 \tabularnewline
0.03 & 116.633442237508 & 3.05403495945027 \tabularnewline
0.04 & 119.089327450674 & 3.81450331742409 \tabularnewline
0.05 & 121.705270737898 & 4.77924780729857 \tabularnewline
0.06 & 124.557864486001 & 5.50274117163836 \tabularnewline
0.07 & 127.515327511040 & 5.81444178231279 \tabularnewline
0.08 & 130.419595354780 & 5.872127063422 \tabularnewline
0.09 & 133.203847576285 & 5.93848901802719 \tabularnewline
0.1 & 135.899876422882 & 6.17477380052541 \tabularnewline
0.11 & 138.583591445232 & 6.58519697363209 \tabularnewline
0.12 & 141.325336341498 & 7.10803477546612 \tabularnewline
0.13 & 144.172954858121 & 7.7096091055799 \tabularnewline
0.14 & 147.155944986974 & 8.38298004075171 \tabularnewline
0.15 & 150.287190287372 & 9.07971705454948 \tabularnewline
0.16 & 153.553682179571 & 9.68249417341907 \tabularnewline
0.17 & 156.906948865091 & 10.0511379585563 \tabularnewline
0.18 & 160.267694873463 & 10.1039247987614 \tabularnewline
0.19 & 163.547283036787 & 9.86154305541607 \tabularnewline
0.2 & 166.675201078387 & 9.43480784307638 \tabularnewline
0.21 & 169.618204262731 & 8.97188362039837 \tabularnewline
0.22 & 172.383675094335 & 8.6003466818426 \tabularnewline
0.23 & 175.009350006170 & 8.39155396196749 \tabularnewline
0.24 & 177.547057780703 & 8.35986553453783 \tabularnewline
0.25 & 180.047948835254 & 8.47712500292052 \tabularnewline
0.26 & 182.553439559663 & 8.69879912851458 \tabularnewline
0.27 & 185.092786385654 & 8.98515083720218 \tabularnewline
0.28 & 187.686092681172 & 9.31588936033581 \tabularnewline
0.29 & 190.350348343281 & 9.69934019114605 \tabularnewline
0.3 & 193.105350868185 & 10.1664093184706 \tabularnewline
0.31 & 195.976246446512 & 10.7499784881771 \tabularnewline
0.32 & 198.990493234875 & 11.4532734631736 \tabularnewline
0.33 & 202.169364413709 & 12.2302718470675 \tabularnewline
0.34 & 205.516881123363 & 12.9826324465661 \tabularnewline
0.35 & 209.010954478841 & 13.5833193549449 \tabularnewline
0.36 & 212.601423164891 & 13.9176658894968 \tabularnewline
0.37 & 216.217419435498 & 13.9207927073359 \tabularnewline
0.38 & 219.782965721350 & 13.6081073751274 \tabularnewline
0.39 & 223.236400589754 & 13.0774550130068 \tabularnewline
0.4 & 226.547536291559 & 12.4906438806074 \tabularnewline
0.41 & 229.726994437493 & 12.0370329353363 \tabularnewline
0.42 & 232.824647909859 & 11.8767442991110 \tabularnewline
0.43 & 235.917536178414 & 12.0966147651242 \tabularnewline
0.44 & 239.090841415940 & 12.6780607795077 \tabularnewline
0.45 & 242.417549299428 & 13.5134653612585 \tabularnewline
0.46 & 245.94271773444 & 14.4417252543967 \tabularnewline
0.47 & 249.676749210158 & 15.3075015957985 \tabularnewline
0.48 & 253.599102423847 & 15.9978213744618 \tabularnewline
0.49 & 257.670360282256 & 16.4731010757487 \tabularnewline
0.5 & 261.847700529762 & 16.7643689394466 \tabularnewline
0.51 & 266.097745175892 & 16.9494557109740 \tabularnewline
0.52 & 270.402066261019 & 17.1087192086989 \tabularnewline
0.53 & 274.753896703716 & 17.2816454716199 \tabularnewline
0.54 & 279.148503880124 & 17.4482639903899 \tabularnewline
0.55 & 283.572512084379 & 17.5384440274999 \tabularnewline
0.56 & 287.99791137036 & 17.4699415849820 \tabularnewline
0.57 & 292.384332975678 & 17.1915474563796 \tabularnewline
0.58 & 296.689365204046 & 16.7164257193332 \tabularnewline
0.59 & 300.882920514612 & 16.1290325517544 \tabularnewline
0.6 & 304.959580765654 & 15.5613840076562 \tabularnewline
0.61 & 308.943313296789 & 15.1523139786988 \tabularnewline
0.62 & 312.881757831763 & 14.9910179929937 \tabularnewline
0.63 & 316.831305273753 & 15.0814430100852 \tabularnewline
0.64 & 320.837859046431 & 15.3341018644062 \tabularnewline
0.65 & 324.920071255535 & 15.5970289332971 \tabularnewline
0.66 & 329.061226812732 & 15.7092121394782 \tabularnewline
0.67 & 333.21302989987 & 15.5577288646119 \tabularnewline
0.68 & 337.310490691161 & 15.1108979724758 \tabularnewline
0.69 & 341.293546736844 & 14.4307350853635 \tabularnewline
0.7 & 345.129285422109 & 13.660164796795 \tabularnewline
0.71 & 348.828936010885 & 12.9919166423782 \tabularnewline
0.72 & 352.455351251342 & 12.6291258604128 \tabularnewline
0.73 & 356.118347420821 & 12.7401473422285 \tabularnewline
0.74 & 359.95664599943 & 13.3975971376249 \tabularnewline
0.75 & 364.107143812027 & 14.5308866349823 \tabularnewline
0.76 & 368.666100053694 & 15.9135962714383 \tabularnewline
0.77 & 373.652391131141 & 17.2020994891716 \tabularnewline
0.78 & 378.987409211776 & 18.0311782774233 \tabularnewline
0.79 & 384.505038100044 & 18.1347930455094 \tabularnewline
0.8 & 389.995844808956 & 17.4506220830322 \tabularnewline
0.81 & 395.274874611208 & 16.1685676554640 \tabularnewline
0.82 & 400.250138445583 & 14.6874678963088 \tabularnewline
0.83 & 404.967014260745 & 13.5023718236671 \tabularnewline
0.84 & 409.613311476646 & 13.0541617167817 \tabularnewline
0.85 & 414.482518904067 & 13.5842976791154 \tabularnewline
0.86 & 419.899380713306 & 15.0337078196223 \tabularnewline
0.87 & 426.114775883399 & 17.0043911809049 \tabularnewline
0.88 & 433.192062080288 & 18.8088724505235 \tabularnewline
0.89 & 440.942956777904 & 19.6855361670077 \tabularnewline
0.9 & 448.998175964623 & 19.2280557726555 \tabularnewline
0.91 & 457.055390998795 & 17.8348373718043 \tabularnewline
0.92 & 465.210836421664 & 16.7933977923152 \tabularnewline
0.93 & 474.14211423957 & 17.5715534447813 \tabularnewline
0.94 & 484.94145559458 & 20.4413112579313 \tabularnewline
0.95 & 498.664530515484 & 24.1806678363787 \tabularnewline
0.96 & 516.007080916126 & 27.2108907676126 \tabularnewline
0.97 & 537.787632641292 & 29.1328416267477 \tabularnewline
0.98 & 565.939344954584 & 32.2382707131165 \tabularnewline
0.99 & 599.483847050472 & 30.192265348984 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74574&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]109.150230849763[/C][C]4.63687489625989[/C][/ROW]
[ROW][C]0.02[/C][C]113.779077638613[/C][C]2.90870523792072[/C][/ROW]
[ROW][C]0.03[/C][C]116.633442237508[/C][C]3.05403495945027[/C][/ROW]
[ROW][C]0.04[/C][C]119.089327450674[/C][C]3.81450331742409[/C][/ROW]
[ROW][C]0.05[/C][C]121.705270737898[/C][C]4.77924780729857[/C][/ROW]
[ROW][C]0.06[/C][C]124.557864486001[/C][C]5.50274117163836[/C][/ROW]
[ROW][C]0.07[/C][C]127.515327511040[/C][C]5.81444178231279[/C][/ROW]
[ROW][C]0.08[/C][C]130.419595354780[/C][C]5.872127063422[/C][/ROW]
[ROW][C]0.09[/C][C]133.203847576285[/C][C]5.93848901802719[/C][/ROW]
[ROW][C]0.1[/C][C]135.899876422882[/C][C]6.17477380052541[/C][/ROW]
[ROW][C]0.11[/C][C]138.583591445232[/C][C]6.58519697363209[/C][/ROW]
[ROW][C]0.12[/C][C]141.325336341498[/C][C]7.10803477546612[/C][/ROW]
[ROW][C]0.13[/C][C]144.172954858121[/C][C]7.7096091055799[/C][/ROW]
[ROW][C]0.14[/C][C]147.155944986974[/C][C]8.38298004075171[/C][/ROW]
[ROW][C]0.15[/C][C]150.287190287372[/C][C]9.07971705454948[/C][/ROW]
[ROW][C]0.16[/C][C]153.553682179571[/C][C]9.68249417341907[/C][/ROW]
[ROW][C]0.17[/C][C]156.906948865091[/C][C]10.0511379585563[/C][/ROW]
[ROW][C]0.18[/C][C]160.267694873463[/C][C]10.1039247987614[/C][/ROW]
[ROW][C]0.19[/C][C]163.547283036787[/C][C]9.86154305541607[/C][/ROW]
[ROW][C]0.2[/C][C]166.675201078387[/C][C]9.43480784307638[/C][/ROW]
[ROW][C]0.21[/C][C]169.618204262731[/C][C]8.97188362039837[/C][/ROW]
[ROW][C]0.22[/C][C]172.383675094335[/C][C]8.6003466818426[/C][/ROW]
[ROW][C]0.23[/C][C]175.009350006170[/C][C]8.39155396196749[/C][/ROW]
[ROW][C]0.24[/C][C]177.547057780703[/C][C]8.35986553453783[/C][/ROW]
[ROW][C]0.25[/C][C]180.047948835254[/C][C]8.47712500292052[/C][/ROW]
[ROW][C]0.26[/C][C]182.553439559663[/C][C]8.69879912851458[/C][/ROW]
[ROW][C]0.27[/C][C]185.092786385654[/C][C]8.98515083720218[/C][/ROW]
[ROW][C]0.28[/C][C]187.686092681172[/C][C]9.31588936033581[/C][/ROW]
[ROW][C]0.29[/C][C]190.350348343281[/C][C]9.69934019114605[/C][/ROW]
[ROW][C]0.3[/C][C]193.105350868185[/C][C]10.1664093184706[/C][/ROW]
[ROW][C]0.31[/C][C]195.976246446512[/C][C]10.7499784881771[/C][/ROW]
[ROW][C]0.32[/C][C]198.990493234875[/C][C]11.4532734631736[/C][/ROW]
[ROW][C]0.33[/C][C]202.169364413709[/C][C]12.2302718470675[/C][/ROW]
[ROW][C]0.34[/C][C]205.516881123363[/C][C]12.9826324465661[/C][/ROW]
[ROW][C]0.35[/C][C]209.010954478841[/C][C]13.5833193549449[/C][/ROW]
[ROW][C]0.36[/C][C]212.601423164891[/C][C]13.9176658894968[/C][/ROW]
[ROW][C]0.37[/C][C]216.217419435498[/C][C]13.9207927073359[/C][/ROW]
[ROW][C]0.38[/C][C]219.782965721350[/C][C]13.6081073751274[/C][/ROW]
[ROW][C]0.39[/C][C]223.236400589754[/C][C]13.0774550130068[/C][/ROW]
[ROW][C]0.4[/C][C]226.547536291559[/C][C]12.4906438806074[/C][/ROW]
[ROW][C]0.41[/C][C]229.726994437493[/C][C]12.0370329353363[/C][/ROW]
[ROW][C]0.42[/C][C]232.824647909859[/C][C]11.8767442991110[/C][/ROW]
[ROW][C]0.43[/C][C]235.917536178414[/C][C]12.0966147651242[/C][/ROW]
[ROW][C]0.44[/C][C]239.090841415940[/C][C]12.6780607795077[/C][/ROW]
[ROW][C]0.45[/C][C]242.417549299428[/C][C]13.5134653612585[/C][/ROW]
[ROW][C]0.46[/C][C]245.94271773444[/C][C]14.4417252543967[/C][/ROW]
[ROW][C]0.47[/C][C]249.676749210158[/C][C]15.3075015957985[/C][/ROW]
[ROW][C]0.48[/C][C]253.599102423847[/C][C]15.9978213744618[/C][/ROW]
[ROW][C]0.49[/C][C]257.670360282256[/C][C]16.4731010757487[/C][/ROW]
[ROW][C]0.5[/C][C]261.847700529762[/C][C]16.7643689394466[/C][/ROW]
[ROW][C]0.51[/C][C]266.097745175892[/C][C]16.9494557109740[/C][/ROW]
[ROW][C]0.52[/C][C]270.402066261019[/C][C]17.1087192086989[/C][/ROW]
[ROW][C]0.53[/C][C]274.753896703716[/C][C]17.2816454716199[/C][/ROW]
[ROW][C]0.54[/C][C]279.148503880124[/C][C]17.4482639903899[/C][/ROW]
[ROW][C]0.55[/C][C]283.572512084379[/C][C]17.5384440274999[/C][/ROW]
[ROW][C]0.56[/C][C]287.99791137036[/C][C]17.4699415849820[/C][/ROW]
[ROW][C]0.57[/C][C]292.384332975678[/C][C]17.1915474563796[/C][/ROW]
[ROW][C]0.58[/C][C]296.689365204046[/C][C]16.7164257193332[/C][/ROW]
[ROW][C]0.59[/C][C]300.882920514612[/C][C]16.1290325517544[/C][/ROW]
[ROW][C]0.6[/C][C]304.959580765654[/C][C]15.5613840076562[/C][/ROW]
[ROW][C]0.61[/C][C]308.943313296789[/C][C]15.1523139786988[/C][/ROW]
[ROW][C]0.62[/C][C]312.881757831763[/C][C]14.9910179929937[/C][/ROW]
[ROW][C]0.63[/C][C]316.831305273753[/C][C]15.0814430100852[/C][/ROW]
[ROW][C]0.64[/C][C]320.837859046431[/C][C]15.3341018644062[/C][/ROW]
[ROW][C]0.65[/C][C]324.920071255535[/C][C]15.5970289332971[/C][/ROW]
[ROW][C]0.66[/C][C]329.061226812732[/C][C]15.7092121394782[/C][/ROW]
[ROW][C]0.67[/C][C]333.21302989987[/C][C]15.5577288646119[/C][/ROW]
[ROW][C]0.68[/C][C]337.310490691161[/C][C]15.1108979724758[/C][/ROW]
[ROW][C]0.69[/C][C]341.293546736844[/C][C]14.4307350853635[/C][/ROW]
[ROW][C]0.7[/C][C]345.129285422109[/C][C]13.660164796795[/C][/ROW]
[ROW][C]0.71[/C][C]348.828936010885[/C][C]12.9919166423782[/C][/ROW]
[ROW][C]0.72[/C][C]352.455351251342[/C][C]12.6291258604128[/C][/ROW]
[ROW][C]0.73[/C][C]356.118347420821[/C][C]12.7401473422285[/C][/ROW]
[ROW][C]0.74[/C][C]359.95664599943[/C][C]13.3975971376249[/C][/ROW]
[ROW][C]0.75[/C][C]364.107143812027[/C][C]14.5308866349823[/C][/ROW]
[ROW][C]0.76[/C][C]368.666100053694[/C][C]15.9135962714383[/C][/ROW]
[ROW][C]0.77[/C][C]373.652391131141[/C][C]17.2020994891716[/C][/ROW]
[ROW][C]0.78[/C][C]378.987409211776[/C][C]18.0311782774233[/C][/ROW]
[ROW][C]0.79[/C][C]384.505038100044[/C][C]18.1347930455094[/C][/ROW]
[ROW][C]0.8[/C][C]389.995844808956[/C][C]17.4506220830322[/C][/ROW]
[ROW][C]0.81[/C][C]395.274874611208[/C][C]16.1685676554640[/C][/ROW]
[ROW][C]0.82[/C][C]400.250138445583[/C][C]14.6874678963088[/C][/ROW]
[ROW][C]0.83[/C][C]404.967014260745[/C][C]13.5023718236671[/C][/ROW]
[ROW][C]0.84[/C][C]409.613311476646[/C][C]13.0541617167817[/C][/ROW]
[ROW][C]0.85[/C][C]414.482518904067[/C][C]13.5842976791154[/C][/ROW]
[ROW][C]0.86[/C][C]419.899380713306[/C][C]15.0337078196223[/C][/ROW]
[ROW][C]0.87[/C][C]426.114775883399[/C][C]17.0043911809049[/C][/ROW]
[ROW][C]0.88[/C][C]433.192062080288[/C][C]18.8088724505235[/C][/ROW]
[ROW][C]0.89[/C][C]440.942956777904[/C][C]19.6855361670077[/C][/ROW]
[ROW][C]0.9[/C][C]448.998175964623[/C][C]19.2280557726555[/C][/ROW]
[ROW][C]0.91[/C][C]457.055390998795[/C][C]17.8348373718043[/C][/ROW]
[ROW][C]0.92[/C][C]465.210836421664[/C][C]16.7933977923152[/C][/ROW]
[ROW][C]0.93[/C][C]474.14211423957[/C][C]17.5715534447813[/C][/ROW]
[ROW][C]0.94[/C][C]484.94145559458[/C][C]20.4413112579313[/C][/ROW]
[ROW][C]0.95[/C][C]498.664530515484[/C][C]24.1806678363787[/C][/ROW]
[ROW][C]0.96[/C][C]516.007080916126[/C][C]27.2108907676126[/C][/ROW]
[ROW][C]0.97[/C][C]537.787632641292[/C][C]29.1328416267477[/C][/ROW]
[ROW][C]0.98[/C][C]565.939344954584[/C][C]32.2382707131165[/C][/ROW]
[ROW][C]0.99[/C][C]599.483847050472[/C][C]30.192265348984[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74574&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74574&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 0.01 109.150230849763 4.63687489625989 0.02 113.779077638613 2.90870523792072 0.03 116.633442237508 3.05403495945027 0.04 119.089327450674 3.81450331742409 0.05 121.705270737898 4.77924780729857 0.06 124.557864486001 5.50274117163836 0.07 127.515327511040 5.81444178231279 0.08 130.419595354780 5.872127063422 0.09 133.203847576285 5.93848901802719 0.1 135.899876422882 6.17477380052541 0.11 138.583591445232 6.58519697363209 0.12 141.325336341498 7.10803477546612 0.13 144.172954858121 7.7096091055799 0.14 147.155944986974 8.38298004075171 0.15 150.287190287372 9.07971705454948 0.16 153.553682179571 9.68249417341907 0.17 156.906948865091 10.0511379585563 0.18 160.267694873463 10.1039247987614 0.19 163.547283036787 9.86154305541607 0.2 166.675201078387 9.43480784307638 0.21 169.618204262731 8.97188362039837 0.22 172.383675094335 8.6003466818426 0.23 175.009350006170 8.39155396196749 0.24 177.547057780703 8.35986553453783 0.25 180.047948835254 8.47712500292052 0.26 182.553439559663 8.69879912851458 0.27 185.092786385654 8.98515083720218 0.28 187.686092681172 9.31588936033581 0.29 190.350348343281 9.69934019114605 0.3 193.105350868185 10.1664093184706 0.31 195.976246446512 10.7499784881771 0.32 198.990493234875 11.4532734631736 0.33 202.169364413709 12.2302718470675 0.34 205.516881123363 12.9826324465661 0.35 209.010954478841 13.5833193549449 0.36 212.601423164891 13.9176658894968 0.37 216.217419435498 13.9207927073359 0.38 219.782965721350 13.6081073751274 0.39 223.236400589754 13.0774550130068 0.4 226.547536291559 12.4906438806074 0.41 229.726994437493 12.0370329353363 0.42 232.824647909859 11.8767442991110 0.43 235.917536178414 12.0966147651242 0.44 239.090841415940 12.6780607795077 0.45 242.417549299428 13.5134653612585 0.46 245.94271773444 14.4417252543967 0.47 249.676749210158 15.3075015957985 0.48 253.599102423847 15.9978213744618 0.49 257.670360282256 16.4731010757487 0.5 261.847700529762 16.7643689394466 0.51 266.097745175892 16.9494557109740 0.52 270.402066261019 17.1087192086989 0.53 274.753896703716 17.2816454716199 0.54 279.148503880124 17.4482639903899 0.55 283.572512084379 17.5384440274999 0.56 287.99791137036 17.4699415849820 0.57 292.384332975678 17.1915474563796 0.58 296.689365204046 16.7164257193332 0.59 300.882920514612 16.1290325517544 0.6 304.959580765654 15.5613840076562 0.61 308.943313296789 15.1523139786988 0.62 312.881757831763 14.9910179929937 0.63 316.831305273753 15.0814430100852 0.64 320.837859046431 15.3341018644062 0.65 324.920071255535 15.5970289332971 0.66 329.061226812732 15.7092121394782 0.67 333.21302989987 15.5577288646119 0.68 337.310490691161 15.1108979724758 0.69 341.293546736844 14.4307350853635 0.7 345.129285422109 13.660164796795 0.71 348.828936010885 12.9919166423782 0.72 352.455351251342 12.6291258604128 0.73 356.118347420821 12.7401473422285 0.74 359.95664599943 13.3975971376249 0.75 364.107143812027 14.5308866349823 0.76 368.666100053694 15.9135962714383 0.77 373.652391131141 17.2020994891716 0.78 378.987409211776 18.0311782774233 0.79 384.505038100044 18.1347930455094 0.8 389.995844808956 17.4506220830322 0.81 395.274874611208 16.1685676554640 0.82 400.250138445583 14.6874678963088 0.83 404.967014260745 13.5023718236671 0.84 409.613311476646 13.0541617167817 0.85 414.482518904067 13.5842976791154 0.86 419.899380713306 15.0337078196223 0.87 426.114775883399 17.0043911809049 0.88 433.192062080288 18.8088724505235 0.89 440.942956777904 19.6855361670077 0.9 448.998175964623 19.2280557726555 0.91 457.055390998795 17.8348373718043 0.92 465.210836421664 16.7933977923152 0.93 474.14211423957 17.5715534447813 0.94 484.94145559458 20.4413112579313 0.95 498.664530515484 24.1806678363787 0.96 516.007080916126 27.2108907676126 0.97 537.787632641292 29.1328416267477 0.98 565.939344954584 32.2382707131165 0.99 599.483847050472 30.192265348984

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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')