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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 computationThu, 11 Aug 2016 13:06:14 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/11/t1470917229b8d0fxgb8tmh9pr.htm/, Retrieved Sun, 05 May 2024 09:00:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296301, Retrieved Sun, 05 May 2024 09:00:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

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] [Reeks A Stap 11] [2016-08-11 12:06:14] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMPD    [Central Tendency] [Reeks A Stap 14] [2016-08-11 12:15:43] [74be16979710d4c4e7c6647856088456]
- RMPD    [Mean Plot] [reeks A Stap 17] [2016-08-11 12:24:35] [74be16979710d4c4e7c6647856088456]
- RMPD    [(Partial) Autocorrelation Function] [reeks A Stap 20] [2016-08-11 13:10:23] [74be16979710d4c4e7c6647856088456]
- RMPD    [(Partial) Autocorrelation Function] [Reeks A Stap 21] [2016-08-11 13:15:36] [74be16979710d4c4e7c6647856088456]
- RMPD    [Standard Deviation Plot] [Reeks A Stap 23] [2016-08-11 13:19:14] [74be16979710d4c4e7c6647856088456]
- RMPD    [Standard Deviation-Mean Plot] [Reeks A Stap 26] [2016-08-11 13:27:06] [74be16979710d4c4e7c6647856088456]
- RMPD    [Classical Decomposition] [Reeks A Stap 29] [2016-08-11 13:39:27] [74be16979710d4c4e7c6647856088456]
- RMPD    [Exponential Smoothing] [Reeks A Stap 32] [2016-08-11 15:02:54] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
193
223
254
284
294
304
314
314
314
314
324
335
335
335
345
365
365
385
385
385
395
395
405
405
416
416
426
436
446
446
466
476
476
476
476
486
497
507
517
527
527
547
547
557
557
557
567
567
598
598
618
628
638
669
679
689
689
689
689
709
719
729
790
831
942
952
962
1013
1033
1033
1043
1043
1053
1114
1155
1215
1236
1296
1317
1327
1347
1367
1367
1387
1408
1468
1479
1499
1499
1509
1519
1529
1539
1590
1620
1620
1651
1671
1691
1711
1721
1732
1732
1742
1762
1782
1813
1883
1904
1924
1934
1964
1985
1995
1995
2035
2066
2086
2157
2157

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'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296301&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296301&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296301&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01214.8229217586931.2883738653664
0.02245.21963692285932.2914258147367
0.03270.66209663965927.3871490117345
0.04288.76708779698220.5625896157039
0.05300.94116396656515.2507754040662
0.06309.34118783683712.4804446185204
0.07315.86744916507212.2831786883807
0.08321.87809711627613.9671230565248
0.09328.18232945365516.5581534194303
0.1335.13479757019919.3293877498858
0.11342.77038027164521.7963209826742
0.12350.92988024540223.6013096657827
0.13359.35743109567424.5421880413172
0.14367.78225486254324.660068463936
0.15375.99239856751424.2490601708591
0.16383.88672757946623.7491874613321
0.17391.48724841323623.570693773514
0.18398.91012297069523.9441710319471
0.19406.31226807817624.8788686522709
0.2413.83697700158326.2061644934635
0.21421.57629948233527.6762466105269
0.22429.55738450012929.0479731271279
0.23437.7509116211530.1547770563641
0.24446.09421235274430.9417170430935
0.25454.51933206033231.4624803143523
0.26462.97654426480931.8486047503908
0.27471.44654825388732.2502921494178
0.28479.9392774819232.7741003001604
0.29488.48249027131833.4474012169234
0.3497.10705887332934.2268656520104
0.31505.83651046377835.0398805063225
0.32514.68568353925435.8454385532797
0.33523.66867454623836.6699270665108
0.34532.81174993868637.6195484482003
0.35542.16455874783538.8425863506161
0.36551.80370365407740.484306433051
0.37561.82609097613842.6153924726082
0.38572.3340509733645.2101050855652
0.39583.41819599314248.145859630264
0.4595.14583511783751.2695350828301
0.41607.56169001351854.4625932668217
0.42620.70379047120257.7343130995383
0.43634.6318027765861.2630859396147
0.44649.45936364423665.4015540830779
0.45665.37823137573970.6068144439968
0.46682.66192369447777.3000142216222
0.47701.64080197008685.6815120925908
0.48722.64870680139895.5979203194567
0.49745.951128955741106.50483870224
0.5771.673261134456117.530664188478
0.51799.749744377204127.667557409684
0.52829.914327767199135.983526376876
0.53861.737166243046141.852201080858
0.54894.702950566829145.108283313641
0.55928.309325630134146.082898429949
0.56962.157225225902145.506143671198
0.57996.006211595077144.281388203981
0.581029.77876856749143.201340936916
0.591063.51428234171142.696293027946
0.61097.29021799313142.717932961514
0.611131.13857990535142.793125563645
0.621164.98615089265142.249398403808
0.631198.63714194519140.477339240323
0.641231.80070063143137.12621817702
0.651264.14969294507132.215692933826
0.661295.38762783379126.075145415034
0.671325.30102416268119.232951889537
0.681353.78399804074112.231443173156
0.691380.83540778641105.497747732209
0.71406.5398348026199.3027256449412
0.711431.0468449673493.8054837026454
0.721454.5574294221489.1364323551921
0.731477.3161449585285.4509568649423
0.741499.598933442482.8871950556435
0.751521.6856097460481.4554284459716
0.761543.8139181302480.916584716652
0.771566.1249101441580.7735504674231
0.781588.6201735763980.3760185521828
0.791611.1541115596479.1250351378335
0.81633.4771164188476.6841907652574
0.811655.3304368562273.1383217290843
0.821676.5749490536369.0525724755642
0.831697.3176617461865.426582667747
0.841717.9856660485563.4769467514614
0.851739.2948410831864.17583206955
0.861762.081506919567.6531041726099
0.871787.0174521378272.8202314753563
0.881814.3013424891477.6259543595578
0.891843.4720771580979.8397808461628
0.91873.4699992431778.0015625682755
0.911902.9667663164172.0586274085793
0.921930.8582774692963.3842264668665
0.931956.7579212663654.2682422286436
0.941981.3379682497547.2962933117084
0.952006.3756703866844.49924291585
0.962034.4297187800345.8343053430379
0.972068.0054129688849.3793020369179
0.982106.7365366188650.4935849149142
0.992141.430523292133.2588166473821

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 214.82292175869 & 31.2883738653664 \tabularnewline
0.02 & 245.219636922859 & 32.2914258147367 \tabularnewline
0.03 & 270.662096639659 & 27.3871490117345 \tabularnewline
0.04 & 288.767087796982 & 20.5625896157039 \tabularnewline
0.05 & 300.941163966565 & 15.2507754040662 \tabularnewline
0.06 & 309.341187836837 & 12.4804446185204 \tabularnewline
0.07 & 315.867449165072 & 12.2831786883807 \tabularnewline
0.08 & 321.878097116276 & 13.9671230565248 \tabularnewline
0.09 & 328.182329453655 & 16.5581534194303 \tabularnewline
0.1 & 335.134797570199 & 19.3293877498858 \tabularnewline
0.11 & 342.770380271645 & 21.7963209826742 \tabularnewline
0.12 & 350.929880245402 & 23.6013096657827 \tabularnewline
0.13 & 359.357431095674 & 24.5421880413172 \tabularnewline
0.14 & 367.782254862543 & 24.660068463936 \tabularnewline
0.15 & 375.992398567514 & 24.2490601708591 \tabularnewline
0.16 & 383.886727579466 & 23.7491874613321 \tabularnewline
0.17 & 391.487248413236 & 23.570693773514 \tabularnewline
0.18 & 398.910122970695 & 23.9441710319471 \tabularnewline
0.19 & 406.312268078176 & 24.8788686522709 \tabularnewline
0.2 & 413.836977001583 & 26.2061644934635 \tabularnewline
0.21 & 421.576299482335 & 27.6762466105269 \tabularnewline
0.22 & 429.557384500129 & 29.0479731271279 \tabularnewline
0.23 & 437.75091162115 & 30.1547770563641 \tabularnewline
0.24 & 446.094212352744 & 30.9417170430935 \tabularnewline
0.25 & 454.519332060332 & 31.4624803143523 \tabularnewline
0.26 & 462.976544264809 & 31.8486047503908 \tabularnewline
0.27 & 471.446548253887 & 32.2502921494178 \tabularnewline
0.28 & 479.93927748192 & 32.7741003001604 \tabularnewline
0.29 & 488.482490271318 & 33.4474012169234 \tabularnewline
0.3 & 497.107058873329 & 34.2268656520104 \tabularnewline
0.31 & 505.836510463778 & 35.0398805063225 \tabularnewline
0.32 & 514.685683539254 & 35.8454385532797 \tabularnewline
0.33 & 523.668674546238 & 36.6699270665108 \tabularnewline
0.34 & 532.811749938686 & 37.6195484482003 \tabularnewline
0.35 & 542.164558747835 & 38.8425863506161 \tabularnewline
0.36 & 551.803703654077 & 40.484306433051 \tabularnewline
0.37 & 561.826090976138 & 42.6153924726082 \tabularnewline
0.38 & 572.33405097336 & 45.2101050855652 \tabularnewline
0.39 & 583.418195993142 & 48.145859630264 \tabularnewline
0.4 & 595.145835117837 & 51.2695350828301 \tabularnewline
0.41 & 607.561690013518 & 54.4625932668217 \tabularnewline
0.42 & 620.703790471202 & 57.7343130995383 \tabularnewline
0.43 & 634.63180277658 & 61.2630859396147 \tabularnewline
0.44 & 649.459363644236 & 65.4015540830779 \tabularnewline
0.45 & 665.378231375739 & 70.6068144439968 \tabularnewline
0.46 & 682.661923694477 & 77.3000142216222 \tabularnewline
0.47 & 701.640801970086 & 85.6815120925908 \tabularnewline
0.48 & 722.648706801398 & 95.5979203194567 \tabularnewline
0.49 & 745.951128955741 & 106.50483870224 \tabularnewline
0.5 & 771.673261134456 & 117.530664188478 \tabularnewline
0.51 & 799.749744377204 & 127.667557409684 \tabularnewline
0.52 & 829.914327767199 & 135.983526376876 \tabularnewline
0.53 & 861.737166243046 & 141.852201080858 \tabularnewline
0.54 & 894.702950566829 & 145.108283313641 \tabularnewline
0.55 & 928.309325630134 & 146.082898429949 \tabularnewline
0.56 & 962.157225225902 & 145.506143671198 \tabularnewline
0.57 & 996.006211595077 & 144.281388203981 \tabularnewline
0.58 & 1029.77876856749 & 143.201340936916 \tabularnewline
0.59 & 1063.51428234171 & 142.696293027946 \tabularnewline
0.6 & 1097.29021799313 & 142.717932961514 \tabularnewline
0.61 & 1131.13857990535 & 142.793125563645 \tabularnewline
0.62 & 1164.98615089265 & 142.249398403808 \tabularnewline
0.63 & 1198.63714194519 & 140.477339240323 \tabularnewline
0.64 & 1231.80070063143 & 137.12621817702 \tabularnewline
0.65 & 1264.14969294507 & 132.215692933826 \tabularnewline
0.66 & 1295.38762783379 & 126.075145415034 \tabularnewline
0.67 & 1325.30102416268 & 119.232951889537 \tabularnewline
0.68 & 1353.78399804074 & 112.231443173156 \tabularnewline
0.69 & 1380.83540778641 & 105.497747732209 \tabularnewline
0.7 & 1406.53983480261 & 99.3027256449412 \tabularnewline
0.71 & 1431.04684496734 & 93.8054837026454 \tabularnewline
0.72 & 1454.55742942214 & 89.1364323551921 \tabularnewline
0.73 & 1477.31614495852 & 85.4509568649423 \tabularnewline
0.74 & 1499.5989334424 & 82.8871950556435 \tabularnewline
0.75 & 1521.68560974604 & 81.4554284459716 \tabularnewline
0.76 & 1543.81391813024 & 80.916584716652 \tabularnewline
0.77 & 1566.12491014415 & 80.7735504674231 \tabularnewline
0.78 & 1588.62017357639 & 80.3760185521828 \tabularnewline
0.79 & 1611.15411155964 & 79.1250351378335 \tabularnewline
0.8 & 1633.47711641884 & 76.6841907652574 \tabularnewline
0.81 & 1655.33043685622 & 73.1383217290843 \tabularnewline
0.82 & 1676.57494905363 & 69.0525724755642 \tabularnewline
0.83 & 1697.31766174618 & 65.426582667747 \tabularnewline
0.84 & 1717.98566604855 & 63.4769467514614 \tabularnewline
0.85 & 1739.29484108318 & 64.17583206955 \tabularnewline
0.86 & 1762.0815069195 & 67.6531041726099 \tabularnewline
0.87 & 1787.01745213782 & 72.8202314753563 \tabularnewline
0.88 & 1814.30134248914 & 77.6259543595578 \tabularnewline
0.89 & 1843.47207715809 & 79.8397808461628 \tabularnewline
0.9 & 1873.46999924317 & 78.0015625682755 \tabularnewline
0.91 & 1902.96676631641 & 72.0586274085793 \tabularnewline
0.92 & 1930.85827746929 & 63.3842264668665 \tabularnewline
0.93 & 1956.75792126636 & 54.2682422286436 \tabularnewline
0.94 & 1981.33796824975 & 47.2962933117084 \tabularnewline
0.95 & 2006.37567038668 & 44.49924291585 \tabularnewline
0.96 & 2034.42971878003 & 45.8343053430379 \tabularnewline
0.97 & 2068.00541296888 & 49.3793020369179 \tabularnewline
0.98 & 2106.73653661886 & 50.4935849149142 \tabularnewline
0.99 & 2141.4305232921 & 33.2588166473821 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296301&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]214.82292175869[/C][C]31.2883738653664[/C][/ROW]
[ROW][C]0.02[/C][C]245.219636922859[/C][C]32.2914258147367[/C][/ROW]
[ROW][C]0.03[/C][C]270.662096639659[/C][C]27.3871490117345[/C][/ROW]
[ROW][C]0.04[/C][C]288.767087796982[/C][C]20.5625896157039[/C][/ROW]
[ROW][C]0.05[/C][C]300.941163966565[/C][C]15.2507754040662[/C][/ROW]
[ROW][C]0.06[/C][C]309.341187836837[/C][C]12.4804446185204[/C][/ROW]
[ROW][C]0.07[/C][C]315.867449165072[/C][C]12.2831786883807[/C][/ROW]
[ROW][C]0.08[/C][C]321.878097116276[/C][C]13.9671230565248[/C][/ROW]
[ROW][C]0.09[/C][C]328.182329453655[/C][C]16.5581534194303[/C][/ROW]
[ROW][C]0.1[/C][C]335.134797570199[/C][C]19.3293877498858[/C][/ROW]
[ROW][C]0.11[/C][C]342.770380271645[/C][C]21.7963209826742[/C][/ROW]
[ROW][C]0.12[/C][C]350.929880245402[/C][C]23.6013096657827[/C][/ROW]
[ROW][C]0.13[/C][C]359.357431095674[/C][C]24.5421880413172[/C][/ROW]
[ROW][C]0.14[/C][C]367.782254862543[/C][C]24.660068463936[/C][/ROW]
[ROW][C]0.15[/C][C]375.992398567514[/C][C]24.2490601708591[/C][/ROW]
[ROW][C]0.16[/C][C]383.886727579466[/C][C]23.7491874613321[/C][/ROW]
[ROW][C]0.17[/C][C]391.487248413236[/C][C]23.570693773514[/C][/ROW]
[ROW][C]0.18[/C][C]398.910122970695[/C][C]23.9441710319471[/C][/ROW]
[ROW][C]0.19[/C][C]406.312268078176[/C][C]24.8788686522709[/C][/ROW]
[ROW][C]0.2[/C][C]413.836977001583[/C][C]26.2061644934635[/C][/ROW]
[ROW][C]0.21[/C][C]421.576299482335[/C][C]27.6762466105269[/C][/ROW]
[ROW][C]0.22[/C][C]429.557384500129[/C][C]29.0479731271279[/C][/ROW]
[ROW][C]0.23[/C][C]437.75091162115[/C][C]30.1547770563641[/C][/ROW]
[ROW][C]0.24[/C][C]446.094212352744[/C][C]30.9417170430935[/C][/ROW]
[ROW][C]0.25[/C][C]454.519332060332[/C][C]31.4624803143523[/C][/ROW]
[ROW][C]0.26[/C][C]462.976544264809[/C][C]31.8486047503908[/C][/ROW]
[ROW][C]0.27[/C][C]471.446548253887[/C][C]32.2502921494178[/C][/ROW]
[ROW][C]0.28[/C][C]479.93927748192[/C][C]32.7741003001604[/C][/ROW]
[ROW][C]0.29[/C][C]488.482490271318[/C][C]33.4474012169234[/C][/ROW]
[ROW][C]0.3[/C][C]497.107058873329[/C][C]34.2268656520104[/C][/ROW]
[ROW][C]0.31[/C][C]505.836510463778[/C][C]35.0398805063225[/C][/ROW]
[ROW][C]0.32[/C][C]514.685683539254[/C][C]35.8454385532797[/C][/ROW]
[ROW][C]0.33[/C][C]523.668674546238[/C][C]36.6699270665108[/C][/ROW]
[ROW][C]0.34[/C][C]532.811749938686[/C][C]37.6195484482003[/C][/ROW]
[ROW][C]0.35[/C][C]542.164558747835[/C][C]38.8425863506161[/C][/ROW]
[ROW][C]0.36[/C][C]551.803703654077[/C][C]40.484306433051[/C][/ROW]
[ROW][C]0.37[/C][C]561.826090976138[/C][C]42.6153924726082[/C][/ROW]
[ROW][C]0.38[/C][C]572.33405097336[/C][C]45.2101050855652[/C][/ROW]
[ROW][C]0.39[/C][C]583.418195993142[/C][C]48.145859630264[/C][/ROW]
[ROW][C]0.4[/C][C]595.145835117837[/C][C]51.2695350828301[/C][/ROW]
[ROW][C]0.41[/C][C]607.561690013518[/C][C]54.4625932668217[/C][/ROW]
[ROW][C]0.42[/C][C]620.703790471202[/C][C]57.7343130995383[/C][/ROW]
[ROW][C]0.43[/C][C]634.63180277658[/C][C]61.2630859396147[/C][/ROW]
[ROW][C]0.44[/C][C]649.459363644236[/C][C]65.4015540830779[/C][/ROW]
[ROW][C]0.45[/C][C]665.378231375739[/C][C]70.6068144439968[/C][/ROW]
[ROW][C]0.46[/C][C]682.661923694477[/C][C]77.3000142216222[/C][/ROW]
[ROW][C]0.47[/C][C]701.640801970086[/C][C]85.6815120925908[/C][/ROW]
[ROW][C]0.48[/C][C]722.648706801398[/C][C]95.5979203194567[/C][/ROW]
[ROW][C]0.49[/C][C]745.951128955741[/C][C]106.50483870224[/C][/ROW]
[ROW][C]0.5[/C][C]771.673261134456[/C][C]117.530664188478[/C][/ROW]
[ROW][C]0.51[/C][C]799.749744377204[/C][C]127.667557409684[/C][/ROW]
[ROW][C]0.52[/C][C]829.914327767199[/C][C]135.983526376876[/C][/ROW]
[ROW][C]0.53[/C][C]861.737166243046[/C][C]141.852201080858[/C][/ROW]
[ROW][C]0.54[/C][C]894.702950566829[/C][C]145.108283313641[/C][/ROW]
[ROW][C]0.55[/C][C]928.309325630134[/C][C]146.082898429949[/C][/ROW]
[ROW][C]0.56[/C][C]962.157225225902[/C][C]145.506143671198[/C][/ROW]
[ROW][C]0.57[/C][C]996.006211595077[/C][C]144.281388203981[/C][/ROW]
[ROW][C]0.58[/C][C]1029.77876856749[/C][C]143.201340936916[/C][/ROW]
[ROW][C]0.59[/C][C]1063.51428234171[/C][C]142.696293027946[/C][/ROW]
[ROW][C]0.6[/C][C]1097.29021799313[/C][C]142.717932961514[/C][/ROW]
[ROW][C]0.61[/C][C]1131.13857990535[/C][C]142.793125563645[/C][/ROW]
[ROW][C]0.62[/C][C]1164.98615089265[/C][C]142.249398403808[/C][/ROW]
[ROW][C]0.63[/C][C]1198.63714194519[/C][C]140.477339240323[/C][/ROW]
[ROW][C]0.64[/C][C]1231.80070063143[/C][C]137.12621817702[/C][/ROW]
[ROW][C]0.65[/C][C]1264.14969294507[/C][C]132.215692933826[/C][/ROW]
[ROW][C]0.66[/C][C]1295.38762783379[/C][C]126.075145415034[/C][/ROW]
[ROW][C]0.67[/C][C]1325.30102416268[/C][C]119.232951889537[/C][/ROW]
[ROW][C]0.68[/C][C]1353.78399804074[/C][C]112.231443173156[/C][/ROW]
[ROW][C]0.69[/C][C]1380.83540778641[/C][C]105.497747732209[/C][/ROW]
[ROW][C]0.7[/C][C]1406.53983480261[/C][C]99.3027256449412[/C][/ROW]
[ROW][C]0.71[/C][C]1431.04684496734[/C][C]93.8054837026454[/C][/ROW]
[ROW][C]0.72[/C][C]1454.55742942214[/C][C]89.1364323551921[/C][/ROW]
[ROW][C]0.73[/C][C]1477.31614495852[/C][C]85.4509568649423[/C][/ROW]
[ROW][C]0.74[/C][C]1499.5989334424[/C][C]82.8871950556435[/C][/ROW]
[ROW][C]0.75[/C][C]1521.68560974604[/C][C]81.4554284459716[/C][/ROW]
[ROW][C]0.76[/C][C]1543.81391813024[/C][C]80.916584716652[/C][/ROW]
[ROW][C]0.77[/C][C]1566.12491014415[/C][C]80.7735504674231[/C][/ROW]
[ROW][C]0.78[/C][C]1588.62017357639[/C][C]80.3760185521828[/C][/ROW]
[ROW][C]0.79[/C][C]1611.15411155964[/C][C]79.1250351378335[/C][/ROW]
[ROW][C]0.8[/C][C]1633.47711641884[/C][C]76.6841907652574[/C][/ROW]
[ROW][C]0.81[/C][C]1655.33043685622[/C][C]73.1383217290843[/C][/ROW]
[ROW][C]0.82[/C][C]1676.57494905363[/C][C]69.0525724755642[/C][/ROW]
[ROW][C]0.83[/C][C]1697.31766174618[/C][C]65.426582667747[/C][/ROW]
[ROW][C]0.84[/C][C]1717.98566604855[/C][C]63.4769467514614[/C][/ROW]
[ROW][C]0.85[/C][C]1739.29484108318[/C][C]64.17583206955[/C][/ROW]
[ROW][C]0.86[/C][C]1762.0815069195[/C][C]67.6531041726099[/C][/ROW]
[ROW][C]0.87[/C][C]1787.01745213782[/C][C]72.8202314753563[/C][/ROW]
[ROW][C]0.88[/C][C]1814.30134248914[/C][C]77.6259543595578[/C][/ROW]
[ROW][C]0.89[/C][C]1843.47207715809[/C][C]79.8397808461628[/C][/ROW]
[ROW][C]0.9[/C][C]1873.46999924317[/C][C]78.0015625682755[/C][/ROW]
[ROW][C]0.91[/C][C]1902.96676631641[/C][C]72.0586274085793[/C][/ROW]
[ROW][C]0.92[/C][C]1930.85827746929[/C][C]63.3842264668665[/C][/ROW]
[ROW][C]0.93[/C][C]1956.75792126636[/C][C]54.2682422286436[/C][/ROW]
[ROW][C]0.94[/C][C]1981.33796824975[/C][C]47.2962933117084[/C][/ROW]
[ROW][C]0.95[/C][C]2006.37567038668[/C][C]44.49924291585[/C][/ROW]
[ROW][C]0.96[/C][C]2034.42971878003[/C][C]45.8343053430379[/C][/ROW]
[ROW][C]0.97[/C][C]2068.00541296888[/C][C]49.3793020369179[/C][/ROW]
[ROW][C]0.98[/C][C]2106.73653661886[/C][C]50.4935849149142[/C][/ROW]
[ROW][C]0.99[/C][C]2141.4305232921[/C][C]33.2588166473821[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296301&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296301&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
0.01214.8229217586931.2883738653664
0.02245.21963692285932.2914258147367
0.03270.66209663965927.3871490117345
0.04288.76708779698220.5625896157039
0.05300.94116396656515.2507754040662
0.06309.34118783683712.4804446185204
0.07315.86744916507212.2831786883807
0.08321.87809711627613.9671230565248
0.09328.18232945365516.5581534194303
0.1335.13479757019919.3293877498858
0.11342.77038027164521.7963209826742
0.12350.92988024540223.6013096657827
0.13359.35743109567424.5421880413172
0.14367.78225486254324.660068463936
0.15375.99239856751424.2490601708591
0.16383.88672757946623.7491874613321
0.17391.48724841323623.570693773514
0.18398.91012297069523.9441710319471
0.19406.31226807817624.8788686522709
0.2413.83697700158326.2061644934635
0.21421.57629948233527.6762466105269
0.22429.55738450012929.0479731271279
0.23437.7509116211530.1547770563641
0.24446.09421235274430.9417170430935
0.25454.51933206033231.4624803143523
0.26462.97654426480931.8486047503908
0.27471.44654825388732.2502921494178
0.28479.9392774819232.7741003001604
0.29488.48249027131833.4474012169234
0.3497.10705887332934.2268656520104
0.31505.83651046377835.0398805063225
0.32514.68568353925435.8454385532797
0.33523.66867454623836.6699270665108
0.34532.81174993868637.6195484482003
0.35542.16455874783538.8425863506161
0.36551.80370365407740.484306433051
0.37561.82609097613842.6153924726082
0.38572.3340509733645.2101050855652
0.39583.41819599314248.145859630264
0.4595.14583511783751.2695350828301
0.41607.56169001351854.4625932668217
0.42620.70379047120257.7343130995383
0.43634.6318027765861.2630859396147
0.44649.45936364423665.4015540830779
0.45665.37823137573970.6068144439968
0.46682.66192369447777.3000142216222
0.47701.64080197008685.6815120925908
0.48722.64870680139895.5979203194567
0.49745.951128955741106.50483870224
0.5771.673261134456117.530664188478
0.51799.749744377204127.667557409684
0.52829.914327767199135.983526376876
0.53861.737166243046141.852201080858
0.54894.702950566829145.108283313641
0.55928.309325630134146.082898429949
0.56962.157225225902145.506143671198
0.57996.006211595077144.281388203981
0.581029.77876856749143.201340936916
0.591063.51428234171142.696293027946
0.61097.29021799313142.717932961514
0.611131.13857990535142.793125563645
0.621164.98615089265142.249398403808
0.631198.63714194519140.477339240323
0.641231.80070063143137.12621817702
0.651264.14969294507132.215692933826
0.661295.38762783379126.075145415034
0.671325.30102416268119.232951889537
0.681353.78399804074112.231443173156
0.691380.83540778641105.497747732209
0.71406.5398348026199.3027256449412
0.711431.0468449673493.8054837026454
0.721454.5574294221489.1364323551921
0.731477.3161449585285.4509568649423
0.741499.598933442482.8871950556435
0.751521.6856097460481.4554284459716
0.761543.8139181302480.916584716652
0.771566.1249101441580.7735504674231
0.781588.6201735763980.3760185521828
0.791611.1541115596479.1250351378335
0.81633.4771164188476.6841907652574
0.811655.3304368562273.1383217290843
0.821676.5749490536369.0525724755642
0.831697.3176617461865.426582667747
0.841717.9856660485563.4769467514614
0.851739.2948410831864.17583206955
0.861762.081506919567.6531041726099
0.871787.0174521378272.8202314753563
0.881814.3013424891477.6259543595578
0.891843.4720771580979.8397808461628
0.91873.4699992431778.0015625682755
0.911902.9667663164172.0586274085793
0.921930.8582774692963.3842264668665
0.931956.7579212663654.2682422286436
0.941981.3379682497547.2962933117084
0.952006.3756703866844.49924291585
0.962034.4297187800345.8343053430379
0.972068.0054129688849.3793020369179
0.982106.7365366188650.4935849149142
0.992141.430523292133.2588166473821


Figures (Output of Computation)

Input Parameters & R Code

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):
par3 <- '0.10'
par2 <- '0.90'
par1 <- '0.10'
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')