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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 computationSat, 11 Mar 2017 16:33:29 +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/2017/Mar/11/t1489250035gvsfvqj8cehfr80.htm/, Retrieved Wed, 15 May 2024 01:21:31 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 01:21:31 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
45570
45118
41921
40167
37315
39206
57075
58664
51705
45527
41057
40867
41484
39738
37254
35177
32846
34079
51287
52800
48443
42223
38796
38952
42343
42023
39340
37149
35431
36537
49626
58677
56009
50069
46470
45603
46729
46989
44666
42920
40125
40941
57748
61246
59809
52682
48394
47436
49750
48172
44960
41831
38672
39704
56207
59254
57374
51309
47083
45092
46353
45348
42867
39980
36790
37504
53331
55997
54764
48590
45565
44959

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0133256.06655992051150.8892349651
0.0233876.37331806841087.4295400829
0.0334514.82064711661037.41736442629
0.0435082.8743745944992.407606095262
0.0535567.8811394492947.083026287939
0.0635981.8496003104892.710952591394
0.0736338.2094582741829.549491557514
0.0836648.210387845771.715467801669
0.0936922.6374330021737.022453842975
0.137172.5104199224734.491032475477
0.1137408.0296766932759.178309381771
0.1237636.9663429067796.786914357462
0.1337863.6503492579831.868612733464
0.1438089.0114419509853.279847951805
0.1538311.4990874318856.316056751191
0.1638528.4018107741842.028256770013
0.1738737.0843651301815.77140303097
0.1838935.8330602471784.417792857549
0.1939124.2137109108754.809197404903
0.239303.013881503731.964435499261
0.2139473.9249305489718.815276697751
0.2239639.1262366907716.040825883072
0.2339800.8937457789723.032509894641
0.2439961.3006756635737.784016478415
0.2540122.032726425758.100442276837
0.2640284.3122107541781.541965790965
0.2740448.9130768721806.09119019626
0.2840616.2451310738830.283101858144
0.2940786.4847059287853.474329130897
0.340959.7274481455876.041116745181
0.3141136.1368088281899.195974711388
0.3241316.0610146969924.601517803813
0.3341500.0938776438954.323989428526
0.3441689.0620272914989.966627559805
0.3541883.93291517061032.46042282335
0.3642085.65269160271081.23494702385
0.3742294.93811264231134.16485471859
0.3842512.05874022521187.69459186986
0.3942736.65178576291237.30300951345
0.442967.6099493221277.87514426728
0.4143203.07213370181304.62746563287
0.4243440.52956145711314.02706227085
0.4343677.03895924381304.04209496323
0.4443909.51448946611274.6645957697
0.4544135.05533222691227.76204379149
0.4644351.25940079551167.35707295856
0.4744556.47678675371098.57337559034
0.4844749.96814280421027.41818793318
0.4944931.9504558284959.793950190551
0.545103.531680548901.162667305704
0.5145266.5526562652855.749049024314
0.5245423.3666783157826.184010278611
0.5345576.5925302682813.068491363349
0.5445728.8757069112815.476650020268
0.5545882.6862158635831.154910023625
0.5646040.1717301794857.226919770543
0.5746203.0741779081890.635855787495
0.5846372.7080463436928.71396420147
0.5946549.9911261164969.200400091278
0.646735.51377686811010.55467403321
0.6146929.6310061311051.82090671424
0.6247132.56211960681092.54900969352
0.6347344.48457637881132.76074931048
0.6447565.61120563331172.82701035812
0.6547796.24271601181213.4935601894
0.6648036.79052336551255.33285203086
0.6748287.76872103141298.97327629274
0.6848549.75884210271344.50924739608
0.6948823.35671536971391.86893935712
0.749109.1161340181440.26925362519
0.7149407.50731270281488.8046256199
0.7249718.90686436891536.29072582264
0.7350043.62840236941582.09967150385
0.7450381.98854706551625.87166076695
0.7550734.38433396141668.11035192533
0.7651101.34006152581709.78205754134
0.7751483.47225535341751.93160369703
0.7851881.32898176171794.91593725122
0.7952295.08966867171837.24431158562
0.852724.16225881931875.20881311112
0.8153166.77394922981902.59163675533
0.8253619.69780705741911.82619613649
0.8354078.26371381761895.48110180431
0.8454536.74904068421848.76930019448
0.8554989.13323784691771.41995282064
0.8655430.06040198791668.46784193337
0.8755855.73810408931549.55389235954
0.8856264.46897415971426.53138473592
0.8956656.60551867481309.87869425468
0.957033.94082807891205.42458498794
0.9157398.84859233371112.81983182836
0.9257753.76460234391027.00212350159
0.9358101.7398130274942.905064676953
0.9458448.7201071364861.714441291656
0.9558807.8098649157795.458940441982
0.9659204.1602254284767.056843515979
0.9759673.4224680314809.036405662174
0.9860235.4615684957.614273457685
0.9960826.80357994841202.68824790347

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 33256.0665599205 & 1150.8892349651 \tabularnewline
0.02 & 33876.3733180684 & 1087.4295400829 \tabularnewline
0.03 & 34514.8206471166 & 1037.41736442629 \tabularnewline
0.04 & 35082.8743745944 & 992.407606095262 \tabularnewline
0.05 & 35567.8811394492 & 947.083026287939 \tabularnewline
0.06 & 35981.8496003104 & 892.710952591394 \tabularnewline
0.07 & 36338.2094582741 & 829.549491557514 \tabularnewline
0.08 & 36648.210387845 & 771.715467801669 \tabularnewline
0.09 & 36922.6374330021 & 737.022453842975 \tabularnewline
0.1 & 37172.5104199224 & 734.491032475477 \tabularnewline
0.11 & 37408.0296766932 & 759.178309381771 \tabularnewline
0.12 & 37636.9663429067 & 796.786914357462 \tabularnewline
0.13 & 37863.6503492579 & 831.868612733464 \tabularnewline
0.14 & 38089.0114419509 & 853.279847951805 \tabularnewline
0.15 & 38311.4990874318 & 856.316056751191 \tabularnewline
0.16 & 38528.4018107741 & 842.028256770013 \tabularnewline
0.17 & 38737.0843651301 & 815.77140303097 \tabularnewline
0.18 & 38935.8330602471 & 784.417792857549 \tabularnewline
0.19 & 39124.2137109108 & 754.809197404903 \tabularnewline
0.2 & 39303.013881503 & 731.964435499261 \tabularnewline
0.21 & 39473.9249305489 & 718.815276697751 \tabularnewline
0.22 & 39639.1262366907 & 716.040825883072 \tabularnewline
0.23 & 39800.8937457789 & 723.032509894641 \tabularnewline
0.24 & 39961.3006756635 & 737.784016478415 \tabularnewline
0.25 & 40122.032726425 & 758.100442276837 \tabularnewline
0.26 & 40284.3122107541 & 781.541965790965 \tabularnewline
0.27 & 40448.9130768721 & 806.09119019626 \tabularnewline
0.28 & 40616.2451310738 & 830.283101858144 \tabularnewline
0.29 & 40786.4847059287 & 853.474329130897 \tabularnewline
0.3 & 40959.7274481455 & 876.041116745181 \tabularnewline
0.31 & 41136.1368088281 & 899.195974711388 \tabularnewline
0.32 & 41316.0610146969 & 924.601517803813 \tabularnewline
0.33 & 41500.0938776438 & 954.323989428526 \tabularnewline
0.34 & 41689.0620272914 & 989.966627559805 \tabularnewline
0.35 & 41883.9329151706 & 1032.46042282335 \tabularnewline
0.36 & 42085.6526916027 & 1081.23494702385 \tabularnewline
0.37 & 42294.9381126423 & 1134.16485471859 \tabularnewline
0.38 & 42512.0587402252 & 1187.69459186986 \tabularnewline
0.39 & 42736.6517857629 & 1237.30300951345 \tabularnewline
0.4 & 42967.609949322 & 1277.87514426728 \tabularnewline
0.41 & 43203.0721337018 & 1304.62746563287 \tabularnewline
0.42 & 43440.5295614571 & 1314.02706227085 \tabularnewline
0.43 & 43677.0389592438 & 1304.04209496323 \tabularnewline
0.44 & 43909.5144894661 & 1274.6645957697 \tabularnewline
0.45 & 44135.0553322269 & 1227.76204379149 \tabularnewline
0.46 & 44351.2594007955 & 1167.35707295856 \tabularnewline
0.47 & 44556.4767867537 & 1098.57337559034 \tabularnewline
0.48 & 44749.9681428042 & 1027.41818793318 \tabularnewline
0.49 & 44931.9504558284 & 959.793950190551 \tabularnewline
0.5 & 45103.531680548 & 901.162667305704 \tabularnewline
0.51 & 45266.5526562652 & 855.749049024314 \tabularnewline
0.52 & 45423.3666783157 & 826.184010278611 \tabularnewline
0.53 & 45576.5925302682 & 813.068491363349 \tabularnewline
0.54 & 45728.8757069112 & 815.476650020268 \tabularnewline
0.55 & 45882.6862158635 & 831.154910023625 \tabularnewline
0.56 & 46040.1717301794 & 857.226919770543 \tabularnewline
0.57 & 46203.0741779081 & 890.635855787495 \tabularnewline
0.58 & 46372.7080463436 & 928.71396420147 \tabularnewline
0.59 & 46549.9911261164 & 969.200400091278 \tabularnewline
0.6 & 46735.5137768681 & 1010.55467403321 \tabularnewline
0.61 & 46929.631006131 & 1051.82090671424 \tabularnewline
0.62 & 47132.5621196068 & 1092.54900969352 \tabularnewline
0.63 & 47344.4845763788 & 1132.76074931048 \tabularnewline
0.64 & 47565.6112056333 & 1172.82701035812 \tabularnewline
0.65 & 47796.2427160118 & 1213.4935601894 \tabularnewline
0.66 & 48036.7905233655 & 1255.33285203086 \tabularnewline
0.67 & 48287.7687210314 & 1298.97327629274 \tabularnewline
0.68 & 48549.7588421027 & 1344.50924739608 \tabularnewline
0.69 & 48823.3567153697 & 1391.86893935712 \tabularnewline
0.7 & 49109.116134018 & 1440.26925362519 \tabularnewline
0.71 & 49407.5073127028 & 1488.8046256199 \tabularnewline
0.72 & 49718.9068643689 & 1536.29072582264 \tabularnewline
0.73 & 50043.6284023694 & 1582.09967150385 \tabularnewline
0.74 & 50381.9885470655 & 1625.87166076695 \tabularnewline
0.75 & 50734.3843339614 & 1668.11035192533 \tabularnewline
0.76 & 51101.3400615258 & 1709.78205754134 \tabularnewline
0.77 & 51483.4722553534 & 1751.93160369703 \tabularnewline
0.78 & 51881.3289817617 & 1794.91593725122 \tabularnewline
0.79 & 52295.0896686717 & 1837.24431158562 \tabularnewline
0.8 & 52724.1622588193 & 1875.20881311112 \tabularnewline
0.81 & 53166.7739492298 & 1902.59163675533 \tabularnewline
0.82 & 53619.6978070574 & 1911.82619613649 \tabularnewline
0.83 & 54078.2637138176 & 1895.48110180431 \tabularnewline
0.84 & 54536.7490406842 & 1848.76930019448 \tabularnewline
0.85 & 54989.1332378469 & 1771.41995282064 \tabularnewline
0.86 & 55430.0604019879 & 1668.46784193337 \tabularnewline
0.87 & 55855.7381040893 & 1549.55389235954 \tabularnewline
0.88 & 56264.4689741597 & 1426.53138473592 \tabularnewline
0.89 & 56656.6055186748 & 1309.87869425468 \tabularnewline
0.9 & 57033.9408280789 & 1205.42458498794 \tabularnewline
0.91 & 57398.8485923337 & 1112.81983182836 \tabularnewline
0.92 & 57753.7646023439 & 1027.00212350159 \tabularnewline
0.93 & 58101.7398130274 & 942.905064676953 \tabularnewline
0.94 & 58448.7201071364 & 861.714441291656 \tabularnewline
0.95 & 58807.8098649157 & 795.458940441982 \tabularnewline
0.96 & 59204.1602254284 & 767.056843515979 \tabularnewline
0.97 & 59673.4224680314 & 809.036405662174 \tabularnewline
0.98 & 60235.4615684 & 957.614273457685 \tabularnewline
0.99 & 60826.8035799484 & 1202.68824790347 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]33256.0665599205[/C][C]1150.8892349651[/C][/ROW]
[ROW][C]0.02[/C][C]33876.3733180684[/C][C]1087.4295400829[/C][/ROW]
[ROW][C]0.03[/C][C]34514.8206471166[/C][C]1037.41736442629[/C][/ROW]
[ROW][C]0.04[/C][C]35082.8743745944[/C][C]992.407606095262[/C][/ROW]
[ROW][C]0.05[/C][C]35567.8811394492[/C][C]947.083026287939[/C][/ROW]
[ROW][C]0.06[/C][C]35981.8496003104[/C][C]892.710952591394[/C][/ROW]
[ROW][C]0.07[/C][C]36338.2094582741[/C][C]829.549491557514[/C][/ROW]
[ROW][C]0.08[/C][C]36648.210387845[/C][C]771.715467801669[/C][/ROW]
[ROW][C]0.09[/C][C]36922.6374330021[/C][C]737.022453842975[/C][/ROW]
[ROW][C]0.1[/C][C]37172.5104199224[/C][C]734.491032475477[/C][/ROW]
[ROW][C]0.11[/C][C]37408.0296766932[/C][C]759.178309381771[/C][/ROW]
[ROW][C]0.12[/C][C]37636.9663429067[/C][C]796.786914357462[/C][/ROW]
[ROW][C]0.13[/C][C]37863.6503492579[/C][C]831.868612733464[/C][/ROW]
[ROW][C]0.14[/C][C]38089.0114419509[/C][C]853.279847951805[/C][/ROW]
[ROW][C]0.15[/C][C]38311.4990874318[/C][C]856.316056751191[/C][/ROW]
[ROW][C]0.16[/C][C]38528.4018107741[/C][C]842.028256770013[/C][/ROW]
[ROW][C]0.17[/C][C]38737.0843651301[/C][C]815.77140303097[/C][/ROW]
[ROW][C]0.18[/C][C]38935.8330602471[/C][C]784.417792857549[/C][/ROW]
[ROW][C]0.19[/C][C]39124.2137109108[/C][C]754.809197404903[/C][/ROW]
[ROW][C]0.2[/C][C]39303.013881503[/C][C]731.964435499261[/C][/ROW]
[ROW][C]0.21[/C][C]39473.9249305489[/C][C]718.815276697751[/C][/ROW]
[ROW][C]0.22[/C][C]39639.1262366907[/C][C]716.040825883072[/C][/ROW]
[ROW][C]0.23[/C][C]39800.8937457789[/C][C]723.032509894641[/C][/ROW]
[ROW][C]0.24[/C][C]39961.3006756635[/C][C]737.784016478415[/C][/ROW]
[ROW][C]0.25[/C][C]40122.032726425[/C][C]758.100442276837[/C][/ROW]
[ROW][C]0.26[/C][C]40284.3122107541[/C][C]781.541965790965[/C][/ROW]
[ROW][C]0.27[/C][C]40448.9130768721[/C][C]806.09119019626[/C][/ROW]
[ROW][C]0.28[/C][C]40616.2451310738[/C][C]830.283101858144[/C][/ROW]
[ROW][C]0.29[/C][C]40786.4847059287[/C][C]853.474329130897[/C][/ROW]
[ROW][C]0.3[/C][C]40959.7274481455[/C][C]876.041116745181[/C][/ROW]
[ROW][C]0.31[/C][C]41136.1368088281[/C][C]899.195974711388[/C][/ROW]
[ROW][C]0.32[/C][C]41316.0610146969[/C][C]924.601517803813[/C][/ROW]
[ROW][C]0.33[/C][C]41500.0938776438[/C][C]954.323989428526[/C][/ROW]
[ROW][C]0.34[/C][C]41689.0620272914[/C][C]989.966627559805[/C][/ROW]
[ROW][C]0.35[/C][C]41883.9329151706[/C][C]1032.46042282335[/C][/ROW]
[ROW][C]0.36[/C][C]42085.6526916027[/C][C]1081.23494702385[/C][/ROW]
[ROW][C]0.37[/C][C]42294.9381126423[/C][C]1134.16485471859[/C][/ROW]
[ROW][C]0.38[/C][C]42512.0587402252[/C][C]1187.69459186986[/C][/ROW]
[ROW][C]0.39[/C][C]42736.6517857629[/C][C]1237.30300951345[/C][/ROW]
[ROW][C]0.4[/C][C]42967.609949322[/C][C]1277.87514426728[/C][/ROW]
[ROW][C]0.41[/C][C]43203.0721337018[/C][C]1304.62746563287[/C][/ROW]
[ROW][C]0.42[/C][C]43440.5295614571[/C][C]1314.02706227085[/C][/ROW]
[ROW][C]0.43[/C][C]43677.0389592438[/C][C]1304.04209496323[/C][/ROW]
[ROW][C]0.44[/C][C]43909.5144894661[/C][C]1274.6645957697[/C][/ROW]
[ROW][C]0.45[/C][C]44135.0553322269[/C][C]1227.76204379149[/C][/ROW]
[ROW][C]0.46[/C][C]44351.2594007955[/C][C]1167.35707295856[/C][/ROW]
[ROW][C]0.47[/C][C]44556.4767867537[/C][C]1098.57337559034[/C][/ROW]
[ROW][C]0.48[/C][C]44749.9681428042[/C][C]1027.41818793318[/C][/ROW]
[ROW][C]0.49[/C][C]44931.9504558284[/C][C]959.793950190551[/C][/ROW]
[ROW][C]0.5[/C][C]45103.531680548[/C][C]901.162667305704[/C][/ROW]
[ROW][C]0.51[/C][C]45266.5526562652[/C][C]855.749049024314[/C][/ROW]
[ROW][C]0.52[/C][C]45423.3666783157[/C][C]826.184010278611[/C][/ROW]
[ROW][C]0.53[/C][C]45576.5925302682[/C][C]813.068491363349[/C][/ROW]
[ROW][C]0.54[/C][C]45728.8757069112[/C][C]815.476650020268[/C][/ROW]
[ROW][C]0.55[/C][C]45882.6862158635[/C][C]831.154910023625[/C][/ROW]
[ROW][C]0.56[/C][C]46040.1717301794[/C][C]857.226919770543[/C][/ROW]
[ROW][C]0.57[/C][C]46203.0741779081[/C][C]890.635855787495[/C][/ROW]
[ROW][C]0.58[/C][C]46372.7080463436[/C][C]928.71396420147[/C][/ROW]
[ROW][C]0.59[/C][C]46549.9911261164[/C][C]969.200400091278[/C][/ROW]
[ROW][C]0.6[/C][C]46735.5137768681[/C][C]1010.55467403321[/C][/ROW]
[ROW][C]0.61[/C][C]46929.631006131[/C][C]1051.82090671424[/C][/ROW]
[ROW][C]0.62[/C][C]47132.5621196068[/C][C]1092.54900969352[/C][/ROW]
[ROW][C]0.63[/C][C]47344.4845763788[/C][C]1132.76074931048[/C][/ROW]
[ROW][C]0.64[/C][C]47565.6112056333[/C][C]1172.82701035812[/C][/ROW]
[ROW][C]0.65[/C][C]47796.2427160118[/C][C]1213.4935601894[/C][/ROW]
[ROW][C]0.66[/C][C]48036.7905233655[/C][C]1255.33285203086[/C][/ROW]
[ROW][C]0.67[/C][C]48287.7687210314[/C][C]1298.97327629274[/C][/ROW]
[ROW][C]0.68[/C][C]48549.7588421027[/C][C]1344.50924739608[/C][/ROW]
[ROW][C]0.69[/C][C]48823.3567153697[/C][C]1391.86893935712[/C][/ROW]
[ROW][C]0.7[/C][C]49109.116134018[/C][C]1440.26925362519[/C][/ROW]
[ROW][C]0.71[/C][C]49407.5073127028[/C][C]1488.8046256199[/C][/ROW]
[ROW][C]0.72[/C][C]49718.9068643689[/C][C]1536.29072582264[/C][/ROW]
[ROW][C]0.73[/C][C]50043.6284023694[/C][C]1582.09967150385[/C][/ROW]
[ROW][C]0.74[/C][C]50381.9885470655[/C][C]1625.87166076695[/C][/ROW]
[ROW][C]0.75[/C][C]50734.3843339614[/C][C]1668.11035192533[/C][/ROW]
[ROW][C]0.76[/C][C]51101.3400615258[/C][C]1709.78205754134[/C][/ROW]
[ROW][C]0.77[/C][C]51483.4722553534[/C][C]1751.93160369703[/C][/ROW]
[ROW][C]0.78[/C][C]51881.3289817617[/C][C]1794.91593725122[/C][/ROW]
[ROW][C]0.79[/C][C]52295.0896686717[/C][C]1837.24431158562[/C][/ROW]
[ROW][C]0.8[/C][C]52724.1622588193[/C][C]1875.20881311112[/C][/ROW]
[ROW][C]0.81[/C][C]53166.7739492298[/C][C]1902.59163675533[/C][/ROW]
[ROW][C]0.82[/C][C]53619.6978070574[/C][C]1911.82619613649[/C][/ROW]
[ROW][C]0.83[/C][C]54078.2637138176[/C][C]1895.48110180431[/C][/ROW]
[ROW][C]0.84[/C][C]54536.7490406842[/C][C]1848.76930019448[/C][/ROW]
[ROW][C]0.85[/C][C]54989.1332378469[/C][C]1771.41995282064[/C][/ROW]
[ROW][C]0.86[/C][C]55430.0604019879[/C][C]1668.46784193337[/C][/ROW]
[ROW][C]0.87[/C][C]55855.7381040893[/C][C]1549.55389235954[/C][/ROW]
[ROW][C]0.88[/C][C]56264.4689741597[/C][C]1426.53138473592[/C][/ROW]
[ROW][C]0.89[/C][C]56656.6055186748[/C][C]1309.87869425468[/C][/ROW]
[ROW][C]0.9[/C][C]57033.9408280789[/C][C]1205.42458498794[/C][/ROW]
[ROW][C]0.91[/C][C]57398.8485923337[/C][C]1112.81983182836[/C][/ROW]
[ROW][C]0.92[/C][C]57753.7646023439[/C][C]1027.00212350159[/C][/ROW]
[ROW][C]0.93[/C][C]58101.7398130274[/C][C]942.905064676953[/C][/ROW]
[ROW][C]0.94[/C][C]58448.7201071364[/C][C]861.714441291656[/C][/ROW]
[ROW][C]0.95[/C][C]58807.8098649157[/C][C]795.458940441982[/C][/ROW]
[ROW][C]0.96[/C][C]59204.1602254284[/C][C]767.056843515979[/C][/ROW]
[ROW][C]0.97[/C][C]59673.4224680314[/C][C]809.036405662174[/C][/ROW]
[ROW][C]0.98[/C][C]60235.4615684[/C][C]957.614273457685[/C][/ROW]
[ROW][C]0.99[/C][C]60826.8035799484[/C][C]1202.68824790347[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0133256.06655992051150.8892349651
0.0233876.37331806841087.4295400829
0.0334514.82064711661037.41736442629
0.0435082.8743745944992.407606095262
0.0535567.8811394492947.083026287939
0.0635981.8496003104892.710952591394
0.0736338.2094582741829.549491557514
0.0836648.210387845771.715467801669
0.0936922.6374330021737.022453842975
0.137172.5104199224734.491032475477
0.1137408.0296766932759.178309381771
0.1237636.9663429067796.786914357462
0.1337863.6503492579831.868612733464
0.1438089.0114419509853.279847951805
0.1538311.4990874318856.316056751191
0.1638528.4018107741842.028256770013
0.1738737.0843651301815.77140303097
0.1838935.8330602471784.417792857549
0.1939124.2137109108754.809197404903
0.239303.013881503731.964435499261
0.2139473.9249305489718.815276697751
0.2239639.1262366907716.040825883072
0.2339800.8937457789723.032509894641
0.2439961.3006756635737.784016478415
0.2540122.032726425758.100442276837
0.2640284.3122107541781.541965790965
0.2740448.9130768721806.09119019626
0.2840616.2451310738830.283101858144
0.2940786.4847059287853.474329130897
0.340959.7274481455876.041116745181
0.3141136.1368088281899.195974711388
0.3241316.0610146969924.601517803813
0.3341500.0938776438954.323989428526
0.3441689.0620272914989.966627559805
0.3541883.93291517061032.46042282335
0.3642085.65269160271081.23494702385
0.3742294.93811264231134.16485471859
0.3842512.05874022521187.69459186986
0.3942736.65178576291237.30300951345
0.442967.6099493221277.87514426728
0.4143203.07213370181304.62746563287
0.4243440.52956145711314.02706227085
0.4343677.03895924381304.04209496323
0.4443909.51448946611274.6645957697
0.4544135.05533222691227.76204379149
0.4644351.25940079551167.35707295856
0.4744556.47678675371098.57337559034
0.4844749.96814280421027.41818793318
0.4944931.9504558284959.793950190551
0.545103.531680548901.162667305704
0.5145266.5526562652855.749049024314
0.5245423.3666783157826.184010278611
0.5345576.5925302682813.068491363349
0.5445728.8757069112815.476650020268
0.5545882.6862158635831.154910023625
0.5646040.1717301794857.226919770543
0.5746203.0741779081890.635855787495
0.5846372.7080463436928.71396420147
0.5946549.9911261164969.200400091278
0.646735.51377686811010.55467403321
0.6146929.6310061311051.82090671424
0.6247132.56211960681092.54900969352
0.6347344.48457637881132.76074931048
0.6447565.61120563331172.82701035812
0.6547796.24271601181213.4935601894
0.6648036.79052336551255.33285203086
0.6748287.76872103141298.97327629274
0.6848549.75884210271344.50924739608
0.6948823.35671536971391.86893935712
0.749109.1161340181440.26925362519
0.7149407.50731270281488.8046256199
0.7249718.90686436891536.29072582264
0.7350043.62840236941582.09967150385
0.7450381.98854706551625.87166076695
0.7550734.38433396141668.11035192533
0.7651101.34006152581709.78205754134
0.7751483.47225535341751.93160369703
0.7851881.32898176171794.91593725122
0.7952295.08966867171837.24431158562
0.852724.16225881931875.20881311112
0.8153166.77394922981902.59163675533
0.8253619.69780705741911.82619613649
0.8354078.26371381761895.48110180431
0.8454536.74904068421848.76930019448
0.8554989.13323784691771.41995282064
0.8655430.06040198791668.46784193337
0.8755855.73810408931549.55389235954
0.8856264.46897415971426.53138473592
0.8956656.60551867481309.87869425468
0.957033.94082807891205.42458498794
0.9157398.84859233371112.81983182836
0.9257753.76460234391027.00212350159
0.9358101.7398130274942.905064676953
0.9458448.7201071364861.714441291656
0.9558807.8098649157795.458940441982
0.9659204.1602254284767.056843515979
0.9759673.4224680314809.036405662174
0.9860235.4615684957.614273457685
0.9960826.80357994841202.68824790347


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')