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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 07 Jul 2010 16:09:43 +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/Jul/07/t1278518995e7ahsrdmhcjomoc.htm/, Retrieved Sun, 05 May 2024 22:36:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77947, Retrieved Sun, 05 May 2024 22:36:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact208

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Kelly Janbroers -...] [2010-07-07 16:09:43] [413e0fefcf22560c5655fbc122c1a3c2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
33
32
31
29
49
48
33
23
24
24
25
27
24
21
15
21
49
48
35
36
51
50
61
63
61
62
58
65
93
94
86
88
102
107
121
127
125
128
117
127
160
162
153
160
177
178
196
212
212
211
204
216
248
250
240
249
275
277
286
302
290
290
277
285
311
300
291
299
332
337
343
360
353
351
341
348
381
358
353
358
399
409
407
419
418
421
414
424
463
437
430
436
474
489
482
492
502
500
493
504
538
516
502
501
541
571
559
569
576
573
562
570
597
573
562
556
600
630
624
634

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77947&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77947&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0117.90432452451413.54001896631378
0.0220.74519848851271.89391238698573
0.0322.43538732579981.60058228526684
0.0423.61612025073401.70408648557274
0.0524.72327609602522.16817622346194
0.0625.96232948842092.86948404795737
0.0727.42007831580143.58158599735117
0.0829.09960164953224.23261993707363
0.0930.97876667708964.91096569062215
0.133.05523073426575.71548504746708
0.1135.34443129862736.61852456750521
0.1237.84917697385177.47590142187263
0.1340.53842543536048.1450903294748
0.1443.35561371753778.5934857354741
0.1546.2494858992678.92880861404428
0.1649.20561224484699.34816780695342
0.1752.260641458759310.0460958471599
0.1855.494922893307311.1394748235346
0.1959.010445247546212.6413653995176
0.262.904521650360314.4733373233442
0.2167.247321811893316.4917730153176
0.2272.067715175225118.5199924992868
0.2377.349337466278220.3881120828236
0.2483.03700928966421.971790459834
0.2589.05165617669523.2216539609429
0.2695.309766270803424.1696073153784
0.27101.74215278107024.9147000024383
0.28108.30716514388725.5922337403793
0.29114.99542117742826.3353907696998
0.3121.82577660402727.2400030978170
0.31128.83463339334328.3417652600553
0.32136.06215641677729.6120410507385
0.33143.53928355178230.9714627165192
0.34151.27867272840032.3185452225299
0.35159.27124962587733.5538960578518
0.36167.48826297098534.6047235875273
0.37175.88722127552535.433424362888
0.38184.41918493204136.0359229399313
0.39193.03483089987436.428448775977
0.4201.68746221480936.6331220045253
0.41210.33245016368736.6552786849374
0.42218.92406370591136.4791025935307
0.43227.41178263186836.0656300827378
0.44235.73859401037935.3717618292821
0.45243.84323132036234.3744724403068
0.46251.66694582955533.0913849566901
0.47259.16363187388431.598456741059
0.48266.31057904682430.0263103082586
0.49273.11637937473828.5384418561982
0.5279.62291407837127.303169331959
0.51285.89984790008326.4463539471011
0.52292.03226209184626.0184149636182
0.53298.10429465391625.9722910660221
0.54304.18319521972226.1815585437270
0.55310.30846163138826.4765340130968
0.56316.48947728139726.7036076779769
0.57322.71255775651326.7700124849489
0.58328.95524966638026.6704748502023
0.59335.20310175794526.4904003706528
0.6341.46292915671626.3721785167921
0.61347.76742096816226.4628537072636
0.62354.16874604543426.8493733103678
0.63360.72279342421827.5090247305635
0.64367.46948217858128.3106026436154
0.65374.41670060728229.0555998088984
0.66381.53483336199529.5481180644739
0.67388.76538425806329.6682832647244
0.68396.04190730046629.4251446521441
0.69403.31620993193228.9592574248623
0.7410.57971322089128.5042369249107
0.71417.87045810094628.2992303435817
0.72425.26075628327928.4895700302634
0.73432.82759735251129.0382884721355
0.74440.61516520847129.7253597820907
0.75448.60337690221030.2120458801378
0.76456.69613745944730.1642840656919
0.77464.73750188116929.3723873184782
0.78472.55457661481327.8399859250341
0.79480.0157230645525.8122459921974
0.8487.08491125876523.7315989667620
0.81493.85082200520522.1274742584156
0.82500.51418720887821.4310031786777
0.83507.32899335416521.7580466750329
0.84514.51049072587222.7918825727819
0.85522.14023294439123.8828419487387
0.86530.10721501137624.3078992246786
0.87538.11624217992923.5421809888451
0.88545.76854065314421.4527590497207
0.89552.68682395230518.3351668376711
0.9558.63907970206214.7886758892593
0.91563.62787301620211.5140367583347
0.92567.9441977960149.20061237536547
0.93572.1970716709338.56099547946417
0.94577.29062411369310.0888260923847
0.95584.26124070052813.350318054937
0.96593.88009742066416.9587321444590
0.97605.98790356914218.8059231927910
0.98618.7992952805916.2304747681288
0.99629.1077068528038.9016483926536

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 17.9043245245141 & 3.54001896631378 \tabularnewline
0.02 & 20.7451984885127 & 1.89391238698573 \tabularnewline
0.03 & 22.4353873257998 & 1.60058228526684 \tabularnewline
0.04 & 23.6161202507340 & 1.70408648557274 \tabularnewline
0.05 & 24.7232760960252 & 2.16817622346194 \tabularnewline
0.06 & 25.9623294884209 & 2.86948404795737 \tabularnewline
0.07 & 27.4200783158014 & 3.58158599735117 \tabularnewline
0.08 & 29.0996016495322 & 4.23261993707363 \tabularnewline
0.09 & 30.9787666770896 & 4.91096569062215 \tabularnewline
0.1 & 33.0552307342657 & 5.71548504746708 \tabularnewline
0.11 & 35.3444312986273 & 6.61852456750521 \tabularnewline
0.12 & 37.8491769738517 & 7.47590142187263 \tabularnewline
0.13 & 40.5384254353604 & 8.1450903294748 \tabularnewline
0.14 & 43.3556137175377 & 8.5934857354741 \tabularnewline
0.15 & 46.249485899267 & 8.92880861404428 \tabularnewline
0.16 & 49.2056122448469 & 9.34816780695342 \tabularnewline
0.17 & 52.2606414587593 & 10.0460958471599 \tabularnewline
0.18 & 55.4949228933073 & 11.1394748235346 \tabularnewline
0.19 & 59.0104452475462 & 12.6413653995176 \tabularnewline
0.2 & 62.9045216503603 & 14.4733373233442 \tabularnewline
0.21 & 67.2473218118933 & 16.4917730153176 \tabularnewline
0.22 & 72.0677151752251 & 18.5199924992868 \tabularnewline
0.23 & 77.3493374662782 & 20.3881120828236 \tabularnewline
0.24 & 83.037009289664 & 21.971790459834 \tabularnewline
0.25 & 89.051656176695 & 23.2216539609429 \tabularnewline
0.26 & 95.3097662708034 & 24.1696073153784 \tabularnewline
0.27 & 101.742152781070 & 24.9147000024383 \tabularnewline
0.28 & 108.307165143887 & 25.5922337403793 \tabularnewline
0.29 & 114.995421177428 & 26.3353907696998 \tabularnewline
0.3 & 121.825776604027 & 27.2400030978170 \tabularnewline
0.31 & 128.834633393343 & 28.3417652600553 \tabularnewline
0.32 & 136.062156416777 & 29.6120410507385 \tabularnewline
0.33 & 143.539283551782 & 30.9714627165192 \tabularnewline
0.34 & 151.278672728400 & 32.3185452225299 \tabularnewline
0.35 & 159.271249625877 & 33.5538960578518 \tabularnewline
0.36 & 167.488262970985 & 34.6047235875273 \tabularnewline
0.37 & 175.887221275525 & 35.433424362888 \tabularnewline
0.38 & 184.419184932041 & 36.0359229399313 \tabularnewline
0.39 & 193.034830899874 & 36.428448775977 \tabularnewline
0.4 & 201.687462214809 & 36.6331220045253 \tabularnewline
0.41 & 210.332450163687 & 36.6552786849374 \tabularnewline
0.42 & 218.924063705911 & 36.4791025935307 \tabularnewline
0.43 & 227.411782631868 & 36.0656300827378 \tabularnewline
0.44 & 235.738594010379 & 35.3717618292821 \tabularnewline
0.45 & 243.843231320362 & 34.3744724403068 \tabularnewline
0.46 & 251.666945829555 & 33.0913849566901 \tabularnewline
0.47 & 259.163631873884 & 31.598456741059 \tabularnewline
0.48 & 266.310579046824 & 30.0263103082586 \tabularnewline
0.49 & 273.116379374738 & 28.5384418561982 \tabularnewline
0.5 & 279.622914078371 & 27.303169331959 \tabularnewline
0.51 & 285.899847900083 & 26.4463539471011 \tabularnewline
0.52 & 292.032262091846 & 26.0184149636182 \tabularnewline
0.53 & 298.104294653916 & 25.9722910660221 \tabularnewline
0.54 & 304.183195219722 & 26.1815585437270 \tabularnewline
0.55 & 310.308461631388 & 26.4765340130968 \tabularnewline
0.56 & 316.489477281397 & 26.7036076779769 \tabularnewline
0.57 & 322.712557756513 & 26.7700124849489 \tabularnewline
0.58 & 328.955249666380 & 26.6704748502023 \tabularnewline
0.59 & 335.203101757945 & 26.4904003706528 \tabularnewline
0.6 & 341.462929156716 & 26.3721785167921 \tabularnewline
0.61 & 347.767420968162 & 26.4628537072636 \tabularnewline
0.62 & 354.168746045434 & 26.8493733103678 \tabularnewline
0.63 & 360.722793424218 & 27.5090247305635 \tabularnewline
0.64 & 367.469482178581 & 28.3106026436154 \tabularnewline
0.65 & 374.416700607282 & 29.0555998088984 \tabularnewline
0.66 & 381.534833361995 & 29.5481180644739 \tabularnewline
0.67 & 388.765384258063 & 29.6682832647244 \tabularnewline
0.68 & 396.041907300466 & 29.4251446521441 \tabularnewline
0.69 & 403.316209931932 & 28.9592574248623 \tabularnewline
0.7 & 410.579713220891 & 28.5042369249107 \tabularnewline
0.71 & 417.870458100946 & 28.2992303435817 \tabularnewline
0.72 & 425.260756283279 & 28.4895700302634 \tabularnewline
0.73 & 432.827597352511 & 29.0382884721355 \tabularnewline
0.74 & 440.615165208471 & 29.7253597820907 \tabularnewline
0.75 & 448.603376902210 & 30.2120458801378 \tabularnewline
0.76 & 456.696137459447 & 30.1642840656919 \tabularnewline
0.77 & 464.737501881169 & 29.3723873184782 \tabularnewline
0.78 & 472.554576614813 & 27.8399859250341 \tabularnewline
0.79 & 480.01572306455 & 25.8122459921974 \tabularnewline
0.8 & 487.084911258765 & 23.7315989667620 \tabularnewline
0.81 & 493.850822005205 & 22.1274742584156 \tabularnewline
0.82 & 500.514187208878 & 21.4310031786777 \tabularnewline
0.83 & 507.328993354165 & 21.7580466750329 \tabularnewline
0.84 & 514.510490725872 & 22.7918825727819 \tabularnewline
0.85 & 522.140232944391 & 23.8828419487387 \tabularnewline
0.86 & 530.107215011376 & 24.3078992246786 \tabularnewline
0.87 & 538.116242179929 & 23.5421809888451 \tabularnewline
0.88 & 545.768540653144 & 21.4527590497207 \tabularnewline
0.89 & 552.686823952305 & 18.3351668376711 \tabularnewline
0.9 & 558.639079702062 & 14.7886758892593 \tabularnewline
0.91 & 563.627873016202 & 11.5140367583347 \tabularnewline
0.92 & 567.944197796014 & 9.20061237536547 \tabularnewline
0.93 & 572.197071670933 & 8.56099547946417 \tabularnewline
0.94 & 577.290624113693 & 10.0888260923847 \tabularnewline
0.95 & 584.261240700528 & 13.350318054937 \tabularnewline
0.96 & 593.880097420664 & 16.9587321444590 \tabularnewline
0.97 & 605.987903569142 & 18.8059231927910 \tabularnewline
0.98 & 618.79929528059 & 16.2304747681288 \tabularnewline
0.99 & 629.107706852803 & 8.9016483926536 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77947&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]17.9043245245141[/C][C]3.54001896631378[/C][/ROW]
[ROW][C]0.02[/C][C]20.7451984885127[/C][C]1.89391238698573[/C][/ROW]
[ROW][C]0.03[/C][C]22.4353873257998[/C][C]1.60058228526684[/C][/ROW]
[ROW][C]0.04[/C][C]23.6161202507340[/C][C]1.70408648557274[/C][/ROW]
[ROW][C]0.05[/C][C]24.7232760960252[/C][C]2.16817622346194[/C][/ROW]
[ROW][C]0.06[/C][C]25.9623294884209[/C][C]2.86948404795737[/C][/ROW]
[ROW][C]0.07[/C][C]27.4200783158014[/C][C]3.58158599735117[/C][/ROW]
[ROW][C]0.08[/C][C]29.0996016495322[/C][C]4.23261993707363[/C][/ROW]
[ROW][C]0.09[/C][C]30.9787666770896[/C][C]4.91096569062215[/C][/ROW]
[ROW][C]0.1[/C][C]33.0552307342657[/C][C]5.71548504746708[/C][/ROW]
[ROW][C]0.11[/C][C]35.3444312986273[/C][C]6.61852456750521[/C][/ROW]
[ROW][C]0.12[/C][C]37.8491769738517[/C][C]7.47590142187263[/C][/ROW]
[ROW][C]0.13[/C][C]40.5384254353604[/C][C]8.1450903294748[/C][/ROW]
[ROW][C]0.14[/C][C]43.3556137175377[/C][C]8.5934857354741[/C][/ROW]
[ROW][C]0.15[/C][C]46.249485899267[/C][C]8.92880861404428[/C][/ROW]
[ROW][C]0.16[/C][C]49.2056122448469[/C][C]9.34816780695342[/C][/ROW]
[ROW][C]0.17[/C][C]52.2606414587593[/C][C]10.0460958471599[/C][/ROW]
[ROW][C]0.18[/C][C]55.4949228933073[/C][C]11.1394748235346[/C][/ROW]
[ROW][C]0.19[/C][C]59.0104452475462[/C][C]12.6413653995176[/C][/ROW]
[ROW][C]0.2[/C][C]62.9045216503603[/C][C]14.4733373233442[/C][/ROW]
[ROW][C]0.21[/C][C]67.2473218118933[/C][C]16.4917730153176[/C][/ROW]
[ROW][C]0.22[/C][C]72.0677151752251[/C][C]18.5199924992868[/C][/ROW]
[ROW][C]0.23[/C][C]77.3493374662782[/C][C]20.3881120828236[/C][/ROW]
[ROW][C]0.24[/C][C]83.037009289664[/C][C]21.971790459834[/C][/ROW]
[ROW][C]0.25[/C][C]89.051656176695[/C][C]23.2216539609429[/C][/ROW]
[ROW][C]0.26[/C][C]95.3097662708034[/C][C]24.1696073153784[/C][/ROW]
[ROW][C]0.27[/C][C]101.742152781070[/C][C]24.9147000024383[/C][/ROW]
[ROW][C]0.28[/C][C]108.307165143887[/C][C]25.5922337403793[/C][/ROW]
[ROW][C]0.29[/C][C]114.995421177428[/C][C]26.3353907696998[/C][/ROW]
[ROW][C]0.3[/C][C]121.825776604027[/C][C]27.2400030978170[/C][/ROW]
[ROW][C]0.31[/C][C]128.834633393343[/C][C]28.3417652600553[/C][/ROW]
[ROW][C]0.32[/C][C]136.062156416777[/C][C]29.6120410507385[/C][/ROW]
[ROW][C]0.33[/C][C]143.539283551782[/C][C]30.9714627165192[/C][/ROW]
[ROW][C]0.34[/C][C]151.278672728400[/C][C]32.3185452225299[/C][/ROW]
[ROW][C]0.35[/C][C]159.271249625877[/C][C]33.5538960578518[/C][/ROW]
[ROW][C]0.36[/C][C]167.488262970985[/C][C]34.6047235875273[/C][/ROW]
[ROW][C]0.37[/C][C]175.887221275525[/C][C]35.433424362888[/C][/ROW]
[ROW][C]0.38[/C][C]184.419184932041[/C][C]36.0359229399313[/C][/ROW]
[ROW][C]0.39[/C][C]193.034830899874[/C][C]36.428448775977[/C][/ROW]
[ROW][C]0.4[/C][C]201.687462214809[/C][C]36.6331220045253[/C][/ROW]
[ROW][C]0.41[/C][C]210.332450163687[/C][C]36.6552786849374[/C][/ROW]
[ROW][C]0.42[/C][C]218.924063705911[/C][C]36.4791025935307[/C][/ROW]
[ROW][C]0.43[/C][C]227.411782631868[/C][C]36.0656300827378[/C][/ROW]
[ROW][C]0.44[/C][C]235.738594010379[/C][C]35.3717618292821[/C][/ROW]
[ROW][C]0.45[/C][C]243.843231320362[/C][C]34.3744724403068[/C][/ROW]
[ROW][C]0.46[/C][C]251.666945829555[/C][C]33.0913849566901[/C][/ROW]
[ROW][C]0.47[/C][C]259.163631873884[/C][C]31.598456741059[/C][/ROW]
[ROW][C]0.48[/C][C]266.310579046824[/C][C]30.0263103082586[/C][/ROW]
[ROW][C]0.49[/C][C]273.116379374738[/C][C]28.5384418561982[/C][/ROW]
[ROW][C]0.5[/C][C]279.622914078371[/C][C]27.303169331959[/C][/ROW]
[ROW][C]0.51[/C][C]285.899847900083[/C][C]26.4463539471011[/C][/ROW]
[ROW][C]0.52[/C][C]292.032262091846[/C][C]26.0184149636182[/C][/ROW]
[ROW][C]0.53[/C][C]298.104294653916[/C][C]25.9722910660221[/C][/ROW]
[ROW][C]0.54[/C][C]304.183195219722[/C][C]26.1815585437270[/C][/ROW]
[ROW][C]0.55[/C][C]310.308461631388[/C][C]26.4765340130968[/C][/ROW]
[ROW][C]0.56[/C][C]316.489477281397[/C][C]26.7036076779769[/C][/ROW]
[ROW][C]0.57[/C][C]322.712557756513[/C][C]26.7700124849489[/C][/ROW]
[ROW][C]0.58[/C][C]328.955249666380[/C][C]26.6704748502023[/C][/ROW]
[ROW][C]0.59[/C][C]335.203101757945[/C][C]26.4904003706528[/C][/ROW]
[ROW][C]0.6[/C][C]341.462929156716[/C][C]26.3721785167921[/C][/ROW]
[ROW][C]0.61[/C][C]347.767420968162[/C][C]26.4628537072636[/C][/ROW]
[ROW][C]0.62[/C][C]354.168746045434[/C][C]26.8493733103678[/C][/ROW]
[ROW][C]0.63[/C][C]360.722793424218[/C][C]27.5090247305635[/C][/ROW]
[ROW][C]0.64[/C][C]367.469482178581[/C][C]28.3106026436154[/C][/ROW]
[ROW][C]0.65[/C][C]374.416700607282[/C][C]29.0555998088984[/C][/ROW]
[ROW][C]0.66[/C][C]381.534833361995[/C][C]29.5481180644739[/C][/ROW]
[ROW][C]0.67[/C][C]388.765384258063[/C][C]29.6682832647244[/C][/ROW]
[ROW][C]0.68[/C][C]396.041907300466[/C][C]29.4251446521441[/C][/ROW]
[ROW][C]0.69[/C][C]403.316209931932[/C][C]28.9592574248623[/C][/ROW]
[ROW][C]0.7[/C][C]410.579713220891[/C][C]28.5042369249107[/C][/ROW]
[ROW][C]0.71[/C][C]417.870458100946[/C][C]28.2992303435817[/C][/ROW]
[ROW][C]0.72[/C][C]425.260756283279[/C][C]28.4895700302634[/C][/ROW]
[ROW][C]0.73[/C][C]432.827597352511[/C][C]29.0382884721355[/C][/ROW]
[ROW][C]0.74[/C][C]440.615165208471[/C][C]29.7253597820907[/C][/ROW]
[ROW][C]0.75[/C][C]448.603376902210[/C][C]30.2120458801378[/C][/ROW]
[ROW][C]0.76[/C][C]456.696137459447[/C][C]30.1642840656919[/C][/ROW]
[ROW][C]0.77[/C][C]464.737501881169[/C][C]29.3723873184782[/C][/ROW]
[ROW][C]0.78[/C][C]472.554576614813[/C][C]27.8399859250341[/C][/ROW]
[ROW][C]0.79[/C][C]480.01572306455[/C][C]25.8122459921974[/C][/ROW]
[ROW][C]0.8[/C][C]487.084911258765[/C][C]23.7315989667620[/C][/ROW]
[ROW][C]0.81[/C][C]493.850822005205[/C][C]22.1274742584156[/C][/ROW]
[ROW][C]0.82[/C][C]500.514187208878[/C][C]21.4310031786777[/C][/ROW]
[ROW][C]0.83[/C][C]507.328993354165[/C][C]21.7580466750329[/C][/ROW]
[ROW][C]0.84[/C][C]514.510490725872[/C][C]22.7918825727819[/C][/ROW]
[ROW][C]0.85[/C][C]522.140232944391[/C][C]23.8828419487387[/C][/ROW]
[ROW][C]0.86[/C][C]530.107215011376[/C][C]24.3078992246786[/C][/ROW]
[ROW][C]0.87[/C][C]538.116242179929[/C][C]23.5421809888451[/C][/ROW]
[ROW][C]0.88[/C][C]545.768540653144[/C][C]21.4527590497207[/C][/ROW]
[ROW][C]0.89[/C][C]552.686823952305[/C][C]18.3351668376711[/C][/ROW]
[ROW][C]0.9[/C][C]558.639079702062[/C][C]14.7886758892593[/C][/ROW]
[ROW][C]0.91[/C][C]563.627873016202[/C][C]11.5140367583347[/C][/ROW]
[ROW][C]0.92[/C][C]567.944197796014[/C][C]9.20061237536547[/C][/ROW]
[ROW][C]0.93[/C][C]572.197071670933[/C][C]8.56099547946417[/C][/ROW]
[ROW][C]0.94[/C][C]577.290624113693[/C][C]10.0888260923847[/C][/ROW]
[ROW][C]0.95[/C][C]584.261240700528[/C][C]13.350318054937[/C][/ROW]
[ROW][C]0.96[/C][C]593.880097420664[/C][C]16.9587321444590[/C][/ROW]
[ROW][C]0.97[/C][C]605.987903569142[/C][C]18.8059231927910[/C][/ROW]
[ROW][C]0.98[/C][C]618.79929528059[/C][C]16.2304747681288[/C][/ROW]
[ROW][C]0.99[/C][C]629.107706852803[/C][C]8.9016483926536[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77947&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0117.90432452451413.54001896631378
0.0220.74519848851271.89391238698573
0.0322.43538732579981.60058228526684
0.0423.61612025073401.70408648557274
0.0524.72327609602522.16817622346194
0.0625.96232948842092.86948404795737
0.0727.42007831580143.58158599735117
0.0829.09960164953224.23261993707363
0.0930.97876667708964.91096569062215
0.133.05523073426575.71548504746708
0.1135.34443129862736.61852456750521
0.1237.84917697385177.47590142187263
0.1340.53842543536048.1450903294748
0.1443.35561371753778.5934857354741
0.1546.2494858992678.92880861404428
0.1649.20561224484699.34816780695342
0.1752.260641458759310.0460958471599
0.1855.494922893307311.1394748235346
0.1959.010445247546212.6413653995176
0.262.904521650360314.4733373233442
0.2167.247321811893316.4917730153176
0.2272.067715175225118.5199924992868
0.2377.349337466278220.3881120828236
0.2483.03700928966421.971790459834
0.2589.05165617669523.2216539609429
0.2695.309766270803424.1696073153784
0.27101.74215278107024.9147000024383
0.28108.30716514388725.5922337403793
0.29114.99542117742826.3353907696998
0.3121.82577660402727.2400030978170
0.31128.83463339334328.3417652600553
0.32136.06215641677729.6120410507385
0.33143.53928355178230.9714627165192
0.34151.27867272840032.3185452225299
0.35159.27124962587733.5538960578518
0.36167.48826297098534.6047235875273
0.37175.88722127552535.433424362888
0.38184.41918493204136.0359229399313
0.39193.03483089987436.428448775977
0.4201.68746221480936.6331220045253
0.41210.33245016368736.6552786849374
0.42218.92406370591136.4791025935307
0.43227.41178263186836.0656300827378
0.44235.73859401037935.3717618292821
0.45243.84323132036234.3744724403068
0.46251.66694582955533.0913849566901
0.47259.16363187388431.598456741059
0.48266.31057904682430.0263103082586
0.49273.11637937473828.5384418561982
0.5279.62291407837127.303169331959
0.51285.89984790008326.4463539471011
0.52292.03226209184626.0184149636182
0.53298.10429465391625.9722910660221
0.54304.18319521972226.1815585437270
0.55310.30846163138826.4765340130968
0.56316.48947728139726.7036076779769
0.57322.71255775651326.7700124849489
0.58328.95524966638026.6704748502023
0.59335.20310175794526.4904003706528
0.6341.46292915671626.3721785167921
0.61347.76742096816226.4628537072636
0.62354.16874604543426.8493733103678
0.63360.72279342421827.5090247305635
0.64367.46948217858128.3106026436154
0.65374.41670060728229.0555998088984
0.66381.53483336199529.5481180644739
0.67388.76538425806329.6682832647244
0.68396.04190730046629.4251446521441
0.69403.31620993193228.9592574248623
0.7410.57971322089128.5042369249107
0.71417.87045810094628.2992303435817
0.72425.26075628327928.4895700302634
0.73432.82759735251129.0382884721355
0.74440.61516520847129.7253597820907
0.75448.60337690221030.2120458801378
0.76456.69613745944730.1642840656919
0.77464.73750188116929.3723873184782
0.78472.55457661481327.8399859250341
0.79480.0157230645525.8122459921974
0.8487.08491125876523.7315989667620
0.81493.85082200520522.1274742584156
0.82500.51418720887821.4310031786777
0.83507.32899335416521.7580466750329
0.84514.51049072587222.7918825727819
0.85522.14023294439123.8828419487387
0.86530.10721501137624.3078992246786
0.87538.11624217992923.5421809888451
0.88545.76854065314421.4527590497207
0.89552.68682395230518.3351668376711
0.9558.63907970206214.7886758892593
0.91563.62787301620211.5140367583347
0.92567.9441977960149.20061237536547
0.93572.1970716709338.56099547946417
0.94577.29062411369310.0888260923847
0.95584.26124070052813.350318054937
0.96593.88009742066416.9587321444590
0.97605.98790356914218.8059231927910
0.98618.7992952805916.2304747681288
0.99629.1077068528038.9016483926536


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; 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')