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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, 09 Oct 2013 06:18:29 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/09/t13813139350fx2c0gmxqf44jq.htm/, Retrieved Fri, 01 May 2026 22:48:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=214382, Retrieved Fri, 01 May 2026 22:48:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact319

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] [Reservepositie IM...] [2013-10-09 10:18:29] [a3fde7297e5409122ee2dd3b0c427a94] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
679
687
638
628
604
713
712
693
697
555
486
470
465
426
384
379
381
380
351
346
339
336
333
324
324
321
304
343
407
389
361
353
361
387
692
704
742
721
843
847
945
946
946
945
1082
1075
820
832
851
1090
1203
1239
1535
1527
1480
1452
1383
1381
1429
1376
1602
1597
2003
1958
1997
1986
2129
2115
2297
2250
2309
2648
2627
2711
2732
2825
2932
2910
2969
2999
2965
2846
2847
2751

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214382&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214382&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214382&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01309.53870748809212.6443942934573
0.02316.5093199506968.18959793808524
0.03322.1027022138796.30749810791477
0.04326.2989003643056.59893537141549
0.05329.8742692254757.40612210475777
0.06333.2934419421478.04560621794809
0.07336.6899425066968.54529403173488
0.08340.0878235790479.1111719818894
0.09343.5192782179149.87737448351805
0.1347.03973381705510.8588960177154
0.11350.70708253589211.9969058621188
0.12354.56454990529913.2155296441734
0.13358.63867866528914.4693456223028
0.14362.95104499638815.7876713466813
0.15367.53839663961917.3102770635861
0.16372.4746568191619.2928735439919
0.17377.88781050509922.0631529682907
0.18383.96561189551525.9321285148544
0.19390.94674053907431.0989272509757
0.2399.09782523573937.5966390704923
0.21408.68031015928545.2835802710309
0.22419.91329592204953.8582076446135
0.23432.9388384622962.8887709441446
0.24447.79509146704871.852717183432
0.25464.40088227568380.1818681820954
0.26482.55348638833387.3177129693497
0.27501.9398269846292.7692738844096
0.28522.16004482446596.169130929139
0.29542.76119691166797.3202141908487
0.3563.27768040302296.2261424271076
0.31583.27397373602493.1012635755244
0.32602.38471606774688.3456597485957
0.33620.34727099775482.5112602557742
0.34637.02283877769976.2371823319232
0.35652.40376607020670.1933531985869
0.36666.60665075567965.0115125158335
0.37679.8527842502561.226212600345
0.38692.43909505127659.2035646471385
0.39704.70384336506559.0974546025736
0.4716.99177026704260.8207714003305
0.41729.62321494139364.1017186496083
0.42742.87092862138468.555045039742
0.43756.94703437838373.7836370869443
0.44772.00096852336379.4413045099854
0.45788.12751660532985.2774402281423
0.46805.38249286840191.1580955994688
0.47823.80246925922897.0789951331919
0.48843.424433514652103.135623355041
0.49864.301422787612109.490051895156
0.5886.510985007421116.323330419215
0.51910.154604736081123.775467136554
0.52935.34778146243131.895950032246
0.53962.202054370008140.608036460888
0.54990.801746082053149.689344771901
0.551021.17939242472158.777923212255
0.561053.2945840832167.409298845697
0.571087.02110685415175.069712715414
0.581122.14667186992181.274938633501
0.591158.38807258926185.653189319835
0.61195.42231497536188.035893400959
0.611232.93135192803188.514448091468
0.621270.65492936278187.48389943334
0.631308.4433019921185.640946111152
0.641346.2998586471183.908235327956
0.651384.4036186904183.332644814918
0.661423.10355246806184.891435380868
0.671462.88085904223189.274235800645
0.681504.28138173649196.679846550081
0.691547.82738227769206.713769516514
0.71593.92447185472218.420750393833
0.711642.78372820436230.466108844099
0.721694.37902087908241.395997191821
0.731748.45409166756249.962191198126
0.741804.58314130961255.384232427426
0.751862.27451269361257.552823852503
0.761921.0931190677257.059307039579
0.771980.76787725699255.070155963518
0.782041.2493286699252.992477953013
0.792102.69177241146252.023153567787
0.82165.35286468887252.686756972488
0.812229.42821100604254.521516127408
0.822294.86291713198256.094146027419
0.832361.19849548785255.334370318218
0.842427.51388441024250.12185898377
0.852492.4984909379238.96672941119
0.862554.65514212511221.52567209609
0.872612.58377740732198.816630732296
0.882665.26265811457172.994665309893
0.892712.24105564807146.759868093732
0.92753.68908758518122.617155950235
0.912790.29877862662102.2775490211
0.922823.0675545339286.387892930443
0.932853.0081928465174.5381018796439
0.942880.8385878300565.3426898901824
0.952906.7538076641656.7490029113891
0.962930.4780325452846.9250822307609
0.972951.770225231935.7054354946447
0.982970.9616940708926.3676669595804
0.992987.9119032204325.1542825806633

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 309.538707488092 & 12.6443942934573 \tabularnewline
0.02 & 316.509319950696 & 8.18959793808524 \tabularnewline
0.03 & 322.102702213879 & 6.30749810791477 \tabularnewline
0.04 & 326.298900364305 & 6.59893537141549 \tabularnewline
0.05 & 329.874269225475 & 7.40612210475777 \tabularnewline
0.06 & 333.293441942147 & 8.04560621794809 \tabularnewline
0.07 & 336.689942506696 & 8.54529403173488 \tabularnewline
0.08 & 340.087823579047 & 9.1111719818894 \tabularnewline
0.09 & 343.519278217914 & 9.87737448351805 \tabularnewline
0.1 & 347.039733817055 & 10.8588960177154 \tabularnewline
0.11 & 350.707082535892 & 11.9969058621188 \tabularnewline
0.12 & 354.564549905299 & 13.2155296441734 \tabularnewline
0.13 & 358.638678665289 & 14.4693456223028 \tabularnewline
0.14 & 362.951044996388 & 15.7876713466813 \tabularnewline
0.15 & 367.538396639619 & 17.3102770635861 \tabularnewline
0.16 & 372.47465681916 & 19.2928735439919 \tabularnewline
0.17 & 377.887810505099 & 22.0631529682907 \tabularnewline
0.18 & 383.965611895515 & 25.9321285148544 \tabularnewline
0.19 & 390.946740539074 & 31.0989272509757 \tabularnewline
0.2 & 399.097825235739 & 37.5966390704923 \tabularnewline
0.21 & 408.680310159285 & 45.2835802710309 \tabularnewline
0.22 & 419.913295922049 & 53.8582076446135 \tabularnewline
0.23 & 432.93883846229 & 62.8887709441446 \tabularnewline
0.24 & 447.795091467048 & 71.852717183432 \tabularnewline
0.25 & 464.400882275683 & 80.1818681820954 \tabularnewline
0.26 & 482.553486388333 & 87.3177129693497 \tabularnewline
0.27 & 501.93982698462 & 92.7692738844096 \tabularnewline
0.28 & 522.160044824465 & 96.169130929139 \tabularnewline
0.29 & 542.761196911667 & 97.3202141908487 \tabularnewline
0.3 & 563.277680403022 & 96.2261424271076 \tabularnewline
0.31 & 583.273973736024 & 93.1012635755244 \tabularnewline
0.32 & 602.384716067746 & 88.3456597485957 \tabularnewline
0.33 & 620.347270997754 & 82.5112602557742 \tabularnewline
0.34 & 637.022838777699 & 76.2371823319232 \tabularnewline
0.35 & 652.403766070206 & 70.1933531985869 \tabularnewline
0.36 & 666.606650755679 & 65.0115125158335 \tabularnewline
0.37 & 679.85278425025 & 61.226212600345 \tabularnewline
0.38 & 692.439095051276 & 59.2035646471385 \tabularnewline
0.39 & 704.703843365065 & 59.0974546025736 \tabularnewline
0.4 & 716.991770267042 & 60.8207714003305 \tabularnewline
0.41 & 729.623214941393 & 64.1017186496083 \tabularnewline
0.42 & 742.870928621384 & 68.555045039742 \tabularnewline
0.43 & 756.947034378383 & 73.7836370869443 \tabularnewline
0.44 & 772.000968523363 & 79.4413045099854 \tabularnewline
0.45 & 788.127516605329 & 85.2774402281423 \tabularnewline
0.46 & 805.382492868401 & 91.1580955994688 \tabularnewline
0.47 & 823.802469259228 & 97.0789951331919 \tabularnewline
0.48 & 843.424433514652 & 103.135623355041 \tabularnewline
0.49 & 864.301422787612 & 109.490051895156 \tabularnewline
0.5 & 886.510985007421 & 116.323330419215 \tabularnewline
0.51 & 910.154604736081 & 123.775467136554 \tabularnewline
0.52 & 935.34778146243 & 131.895950032246 \tabularnewline
0.53 & 962.202054370008 & 140.608036460888 \tabularnewline
0.54 & 990.801746082053 & 149.689344771901 \tabularnewline
0.55 & 1021.17939242472 & 158.777923212255 \tabularnewline
0.56 & 1053.2945840832 & 167.409298845697 \tabularnewline
0.57 & 1087.02110685415 & 175.069712715414 \tabularnewline
0.58 & 1122.14667186992 & 181.274938633501 \tabularnewline
0.59 & 1158.38807258926 & 185.653189319835 \tabularnewline
0.6 & 1195.42231497536 & 188.035893400959 \tabularnewline
0.61 & 1232.93135192803 & 188.514448091468 \tabularnewline
0.62 & 1270.65492936278 & 187.48389943334 \tabularnewline
0.63 & 1308.4433019921 & 185.640946111152 \tabularnewline
0.64 & 1346.2998586471 & 183.908235327956 \tabularnewline
0.65 & 1384.4036186904 & 183.332644814918 \tabularnewline
0.66 & 1423.10355246806 & 184.891435380868 \tabularnewline
0.67 & 1462.88085904223 & 189.274235800645 \tabularnewline
0.68 & 1504.28138173649 & 196.679846550081 \tabularnewline
0.69 & 1547.82738227769 & 206.713769516514 \tabularnewline
0.7 & 1593.92447185472 & 218.420750393833 \tabularnewline
0.71 & 1642.78372820436 & 230.466108844099 \tabularnewline
0.72 & 1694.37902087908 & 241.395997191821 \tabularnewline
0.73 & 1748.45409166756 & 249.962191198126 \tabularnewline
0.74 & 1804.58314130961 & 255.384232427426 \tabularnewline
0.75 & 1862.27451269361 & 257.552823852503 \tabularnewline
0.76 & 1921.0931190677 & 257.059307039579 \tabularnewline
0.77 & 1980.76787725699 & 255.070155963518 \tabularnewline
0.78 & 2041.2493286699 & 252.992477953013 \tabularnewline
0.79 & 2102.69177241146 & 252.023153567787 \tabularnewline
0.8 & 2165.35286468887 & 252.686756972488 \tabularnewline
0.81 & 2229.42821100604 & 254.521516127408 \tabularnewline
0.82 & 2294.86291713198 & 256.094146027419 \tabularnewline
0.83 & 2361.19849548785 & 255.334370318218 \tabularnewline
0.84 & 2427.51388441024 & 250.12185898377 \tabularnewline
0.85 & 2492.4984909379 & 238.96672941119 \tabularnewline
0.86 & 2554.65514212511 & 221.52567209609 \tabularnewline
0.87 & 2612.58377740732 & 198.816630732296 \tabularnewline
0.88 & 2665.26265811457 & 172.994665309893 \tabularnewline
0.89 & 2712.24105564807 & 146.759868093732 \tabularnewline
0.9 & 2753.68908758518 & 122.617155950235 \tabularnewline
0.91 & 2790.29877862662 & 102.2775490211 \tabularnewline
0.92 & 2823.06755453392 & 86.387892930443 \tabularnewline
0.93 & 2853.00819284651 & 74.5381018796439 \tabularnewline
0.94 & 2880.83858783005 & 65.3426898901824 \tabularnewline
0.95 & 2906.75380766416 & 56.7490029113891 \tabularnewline
0.96 & 2930.47803254528 & 46.9250822307609 \tabularnewline
0.97 & 2951.7702252319 & 35.7054354946447 \tabularnewline
0.98 & 2970.96169407089 & 26.3676669595804 \tabularnewline
0.99 & 2987.91190322043 & 25.1542825806633 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214382&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]309.538707488092[/C][C]12.6443942934573[/C][/ROW]
[ROW][C]0.02[/C][C]316.509319950696[/C][C]8.18959793808524[/C][/ROW]
[ROW][C]0.03[/C][C]322.102702213879[/C][C]6.30749810791477[/C][/ROW]
[ROW][C]0.04[/C][C]326.298900364305[/C][C]6.59893537141549[/C][/ROW]
[ROW][C]0.05[/C][C]329.874269225475[/C][C]7.40612210475777[/C][/ROW]
[ROW][C]0.06[/C][C]333.293441942147[/C][C]8.04560621794809[/C][/ROW]
[ROW][C]0.07[/C][C]336.689942506696[/C][C]8.54529403173488[/C][/ROW]
[ROW][C]0.08[/C][C]340.087823579047[/C][C]9.1111719818894[/C][/ROW]
[ROW][C]0.09[/C][C]343.519278217914[/C][C]9.87737448351805[/C][/ROW]
[ROW][C]0.1[/C][C]347.039733817055[/C][C]10.8588960177154[/C][/ROW]
[ROW][C]0.11[/C][C]350.707082535892[/C][C]11.9969058621188[/C][/ROW]
[ROW][C]0.12[/C][C]354.564549905299[/C][C]13.2155296441734[/C][/ROW]
[ROW][C]0.13[/C][C]358.638678665289[/C][C]14.4693456223028[/C][/ROW]
[ROW][C]0.14[/C][C]362.951044996388[/C][C]15.7876713466813[/C][/ROW]
[ROW][C]0.15[/C][C]367.538396639619[/C][C]17.3102770635861[/C][/ROW]
[ROW][C]0.16[/C][C]372.47465681916[/C][C]19.2928735439919[/C][/ROW]
[ROW][C]0.17[/C][C]377.887810505099[/C][C]22.0631529682907[/C][/ROW]
[ROW][C]0.18[/C][C]383.965611895515[/C][C]25.9321285148544[/C][/ROW]
[ROW][C]0.19[/C][C]390.946740539074[/C][C]31.0989272509757[/C][/ROW]
[ROW][C]0.2[/C][C]399.097825235739[/C][C]37.5966390704923[/C][/ROW]
[ROW][C]0.21[/C][C]408.680310159285[/C][C]45.2835802710309[/C][/ROW]
[ROW][C]0.22[/C][C]419.913295922049[/C][C]53.8582076446135[/C][/ROW]
[ROW][C]0.23[/C][C]432.93883846229[/C][C]62.8887709441446[/C][/ROW]
[ROW][C]0.24[/C][C]447.795091467048[/C][C]71.852717183432[/C][/ROW]
[ROW][C]0.25[/C][C]464.400882275683[/C][C]80.1818681820954[/C][/ROW]
[ROW][C]0.26[/C][C]482.553486388333[/C][C]87.3177129693497[/C][/ROW]
[ROW][C]0.27[/C][C]501.93982698462[/C][C]92.7692738844096[/C][/ROW]
[ROW][C]0.28[/C][C]522.160044824465[/C][C]96.169130929139[/C][/ROW]
[ROW][C]0.29[/C][C]542.761196911667[/C][C]97.3202141908487[/C][/ROW]
[ROW][C]0.3[/C][C]563.277680403022[/C][C]96.2261424271076[/C][/ROW]
[ROW][C]0.31[/C][C]583.273973736024[/C][C]93.1012635755244[/C][/ROW]
[ROW][C]0.32[/C][C]602.384716067746[/C][C]88.3456597485957[/C][/ROW]
[ROW][C]0.33[/C][C]620.347270997754[/C][C]82.5112602557742[/C][/ROW]
[ROW][C]0.34[/C][C]637.022838777699[/C][C]76.2371823319232[/C][/ROW]
[ROW][C]0.35[/C][C]652.403766070206[/C][C]70.1933531985869[/C][/ROW]
[ROW][C]0.36[/C][C]666.606650755679[/C][C]65.0115125158335[/C][/ROW]
[ROW][C]0.37[/C][C]679.85278425025[/C][C]61.226212600345[/C][/ROW]
[ROW][C]0.38[/C][C]692.439095051276[/C][C]59.2035646471385[/C][/ROW]
[ROW][C]0.39[/C][C]704.703843365065[/C][C]59.0974546025736[/C][/ROW]
[ROW][C]0.4[/C][C]716.991770267042[/C][C]60.8207714003305[/C][/ROW]
[ROW][C]0.41[/C][C]729.623214941393[/C][C]64.1017186496083[/C][/ROW]
[ROW][C]0.42[/C][C]742.870928621384[/C][C]68.555045039742[/C][/ROW]
[ROW][C]0.43[/C][C]756.947034378383[/C][C]73.7836370869443[/C][/ROW]
[ROW][C]0.44[/C][C]772.000968523363[/C][C]79.4413045099854[/C][/ROW]
[ROW][C]0.45[/C][C]788.127516605329[/C][C]85.2774402281423[/C][/ROW]
[ROW][C]0.46[/C][C]805.382492868401[/C][C]91.1580955994688[/C][/ROW]
[ROW][C]0.47[/C][C]823.802469259228[/C][C]97.0789951331919[/C][/ROW]
[ROW][C]0.48[/C][C]843.424433514652[/C][C]103.135623355041[/C][/ROW]
[ROW][C]0.49[/C][C]864.301422787612[/C][C]109.490051895156[/C][/ROW]
[ROW][C]0.5[/C][C]886.510985007421[/C][C]116.323330419215[/C][/ROW]
[ROW][C]0.51[/C][C]910.154604736081[/C][C]123.775467136554[/C][/ROW]
[ROW][C]0.52[/C][C]935.34778146243[/C][C]131.895950032246[/C][/ROW]
[ROW][C]0.53[/C][C]962.202054370008[/C][C]140.608036460888[/C][/ROW]
[ROW][C]0.54[/C][C]990.801746082053[/C][C]149.689344771901[/C][/ROW]
[ROW][C]0.55[/C][C]1021.17939242472[/C][C]158.777923212255[/C][/ROW]
[ROW][C]0.56[/C][C]1053.2945840832[/C][C]167.409298845697[/C][/ROW]
[ROW][C]0.57[/C][C]1087.02110685415[/C][C]175.069712715414[/C][/ROW]
[ROW][C]0.58[/C][C]1122.14667186992[/C][C]181.274938633501[/C][/ROW]
[ROW][C]0.59[/C][C]1158.38807258926[/C][C]185.653189319835[/C][/ROW]
[ROW][C]0.6[/C][C]1195.42231497536[/C][C]188.035893400959[/C][/ROW]
[ROW][C]0.61[/C][C]1232.93135192803[/C][C]188.514448091468[/C][/ROW]
[ROW][C]0.62[/C][C]1270.65492936278[/C][C]187.48389943334[/C][/ROW]
[ROW][C]0.63[/C][C]1308.4433019921[/C][C]185.640946111152[/C][/ROW]
[ROW][C]0.64[/C][C]1346.2998586471[/C][C]183.908235327956[/C][/ROW]
[ROW][C]0.65[/C][C]1384.4036186904[/C][C]183.332644814918[/C][/ROW]
[ROW][C]0.66[/C][C]1423.10355246806[/C][C]184.891435380868[/C][/ROW]
[ROW][C]0.67[/C][C]1462.88085904223[/C][C]189.274235800645[/C][/ROW]
[ROW][C]0.68[/C][C]1504.28138173649[/C][C]196.679846550081[/C][/ROW]
[ROW][C]0.69[/C][C]1547.82738227769[/C][C]206.713769516514[/C][/ROW]
[ROW][C]0.7[/C][C]1593.92447185472[/C][C]218.420750393833[/C][/ROW]
[ROW][C]0.71[/C][C]1642.78372820436[/C][C]230.466108844099[/C][/ROW]
[ROW][C]0.72[/C][C]1694.37902087908[/C][C]241.395997191821[/C][/ROW]
[ROW][C]0.73[/C][C]1748.45409166756[/C][C]249.962191198126[/C][/ROW]
[ROW][C]0.74[/C][C]1804.58314130961[/C][C]255.384232427426[/C][/ROW]
[ROW][C]0.75[/C][C]1862.27451269361[/C][C]257.552823852503[/C][/ROW]
[ROW][C]0.76[/C][C]1921.0931190677[/C][C]257.059307039579[/C][/ROW]
[ROW][C]0.77[/C][C]1980.76787725699[/C][C]255.070155963518[/C][/ROW]
[ROW][C]0.78[/C][C]2041.2493286699[/C][C]252.992477953013[/C][/ROW]
[ROW][C]0.79[/C][C]2102.69177241146[/C][C]252.023153567787[/C][/ROW]
[ROW][C]0.8[/C][C]2165.35286468887[/C][C]252.686756972488[/C][/ROW]
[ROW][C]0.81[/C][C]2229.42821100604[/C][C]254.521516127408[/C][/ROW]
[ROW][C]0.82[/C][C]2294.86291713198[/C][C]256.094146027419[/C][/ROW]
[ROW][C]0.83[/C][C]2361.19849548785[/C][C]255.334370318218[/C][/ROW]
[ROW][C]0.84[/C][C]2427.51388441024[/C][C]250.12185898377[/C][/ROW]
[ROW][C]0.85[/C][C]2492.4984909379[/C][C]238.96672941119[/C][/ROW]
[ROW][C]0.86[/C][C]2554.65514212511[/C][C]221.52567209609[/C][/ROW]
[ROW][C]0.87[/C][C]2612.58377740732[/C][C]198.816630732296[/C][/ROW]
[ROW][C]0.88[/C][C]2665.26265811457[/C][C]172.994665309893[/C][/ROW]
[ROW][C]0.89[/C][C]2712.24105564807[/C][C]146.759868093732[/C][/ROW]
[ROW][C]0.9[/C][C]2753.68908758518[/C][C]122.617155950235[/C][/ROW]
[ROW][C]0.91[/C][C]2790.29877862662[/C][C]102.2775490211[/C][/ROW]
[ROW][C]0.92[/C][C]2823.06755453392[/C][C]86.387892930443[/C][/ROW]
[ROW][C]0.93[/C][C]2853.00819284651[/C][C]74.5381018796439[/C][/ROW]
[ROW][C]0.94[/C][C]2880.83858783005[/C][C]65.3426898901824[/C][/ROW]
[ROW][C]0.95[/C][C]2906.75380766416[/C][C]56.7490029113891[/C][/ROW]
[ROW][C]0.96[/C][C]2930.47803254528[/C][C]46.9250822307609[/C][/ROW]
[ROW][C]0.97[/C][C]2951.7702252319[/C][C]35.7054354946447[/C][/ROW]
[ROW][C]0.98[/C][C]2970.96169407089[/C][C]26.3676669595804[/C][/ROW]
[ROW][C]0.99[/C][C]2987.91190322043[/C][C]25.1542825806633[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214382&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214382&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
0.01309.53870748809212.6443942934573
0.02316.5093199506968.18959793808524
0.03322.1027022138796.30749810791477
0.04326.2989003643056.59893537141549
0.05329.8742692254757.40612210475777
0.06333.2934419421478.04560621794809
0.07336.6899425066968.54529403173488
0.08340.0878235790479.1111719818894
0.09343.5192782179149.87737448351805
0.1347.03973381705510.8588960177154
0.11350.70708253589211.9969058621188
0.12354.56454990529913.2155296441734
0.13358.63867866528914.4693456223028
0.14362.95104499638815.7876713466813
0.15367.53839663961917.3102770635861
0.16372.4746568191619.2928735439919
0.17377.88781050509922.0631529682907
0.18383.96561189551525.9321285148544
0.19390.94674053907431.0989272509757
0.2399.09782523573937.5966390704923
0.21408.68031015928545.2835802710309
0.22419.91329592204953.8582076446135
0.23432.9388384622962.8887709441446
0.24447.79509146704871.852717183432
0.25464.40088227568380.1818681820954
0.26482.55348638833387.3177129693497
0.27501.9398269846292.7692738844096
0.28522.16004482446596.169130929139
0.29542.76119691166797.3202141908487
0.3563.27768040302296.2261424271076
0.31583.27397373602493.1012635755244
0.32602.38471606774688.3456597485957
0.33620.34727099775482.5112602557742
0.34637.02283877769976.2371823319232
0.35652.40376607020670.1933531985869
0.36666.60665075567965.0115125158335
0.37679.8527842502561.226212600345
0.38692.43909505127659.2035646471385
0.39704.70384336506559.0974546025736
0.4716.99177026704260.8207714003305
0.41729.62321494139364.1017186496083
0.42742.87092862138468.555045039742
0.43756.94703437838373.7836370869443
0.44772.00096852336379.4413045099854
0.45788.12751660532985.2774402281423
0.46805.38249286840191.1580955994688
0.47823.80246925922897.0789951331919
0.48843.424433514652103.135623355041
0.49864.301422787612109.490051895156
0.5886.510985007421116.323330419215
0.51910.154604736081123.775467136554
0.52935.34778146243131.895950032246
0.53962.202054370008140.608036460888
0.54990.801746082053149.689344771901
0.551021.17939242472158.777923212255
0.561053.2945840832167.409298845697
0.571087.02110685415175.069712715414
0.581122.14667186992181.274938633501
0.591158.38807258926185.653189319835
0.61195.42231497536188.035893400959
0.611232.93135192803188.514448091468
0.621270.65492936278187.48389943334
0.631308.4433019921185.640946111152
0.641346.2998586471183.908235327956
0.651384.4036186904183.332644814918
0.661423.10355246806184.891435380868
0.671462.88085904223189.274235800645
0.681504.28138173649196.679846550081
0.691547.82738227769206.713769516514
0.71593.92447185472218.420750393833
0.711642.78372820436230.466108844099
0.721694.37902087908241.395997191821
0.731748.45409166756249.962191198126
0.741804.58314130961255.384232427426
0.751862.27451269361257.552823852503
0.761921.0931190677257.059307039579
0.771980.76787725699255.070155963518
0.782041.2493286699252.992477953013
0.792102.69177241146252.023153567787
0.82165.35286468887252.686756972488
0.812229.42821100604254.521516127408
0.822294.86291713198256.094146027419
0.832361.19849548785255.334370318218
0.842427.51388441024250.12185898377
0.852492.4984909379238.96672941119
0.862554.65514212511221.52567209609
0.872612.58377740732198.816630732296
0.882665.26265811457172.994665309893
0.892712.24105564807146.759868093732
0.92753.68908758518122.617155950235
0.912790.29877862662102.2775490211
0.922823.0675545339286.387892930443
0.932853.0081928465174.5381018796439
0.942880.8385878300565.3426898901824
0.952906.7538076641656.7490029113891
0.962930.4780325452846.9250822307609
0.972951.770225231935.7054354946447
0.982970.9616940708926.3676669595804
0.992987.9119032204325.1542825806633


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):
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')