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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 computationTue, 12 Apr 2016 11:08:53 +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/Apr/12/t1460455787odyy8wc0v13cc3y.htm/, Retrieved Sun, 05 May 2024 17:16:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294543, Retrieved Sun, 05 May 2024 17:16:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2016-02-08 14:11:21] [0f34a599f7d72d2c1f6d879f1943c18e]
- RM    [Histogram] [] [2016-02-21 23:36:01] [984d31b28aa27320c9bb8a4be001f13a]
- RMP       [Harrell-Davis Quantiles] [] [2016-04-12 10:08:53] [9d122f8260d20611f07666190c7f1fd6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
45564.6
47295.5
46465.5
50679.5
47452.8
49415.4
48165.3
51814
49030.7
50820.8
49729.5
53501.6
50524.9
52095
51290.3
55064
52505.2
54318.3
53039.6
57607.6
54236.4
56586.4
55614
60085.9
56963.5
59152.8
57804.6
62541.5
59449.3
61704.7
60399
65724.7
62679.4
65526.5
64274.8
68769.1
63542.8
66198
64544.9
71041.8
66087.2
69005.8
66897
73702
68485.3
71457
69774.6
76479.7
71204.7
73783.9
71651
78541.6
72714.4
75258
73168.1
79701.6
73944.5
76401.2
73948.1
80583.3

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'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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294543&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294543&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294543&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0145800.8883201665851.882927633723
0.0246167.280013338821.247430563149
0.0346576.2078821312810.988384487262
0.0446975.1869876043826.151003117552
0.0547349.4192162203868.873224059398
0.0647702.9982837956929.568228636777
0.0748043.5199512047989.741419861486
0.0848375.41491307171034.06078269199
0.0948699.19526775881056.54209724066
0.149013.09724464931059.55788030529
0.1149314.96603498321049.72144109733
0.1249603.49523661761034.45905766112
0.1349878.70027584291020.0975627737
0.1450141.84558308881011.22696483464
0.1550395.10647977861011.04312262558
0.1650641.17305288961021.21229332614
0.1750882.9030357811042.34507306223
0.1851123.05850922991073.85648380847
0.1951364.12652308831114.33694000688
0.251608.21356250281162.02019933105
0.2151857.00268214931215.0286597392
0.2252111.76137471181271.6279739956
0.2352373.38609725471330.60290997034
0.2452642.46757180961390.94498221287
0.2552919.36134512341451.89681900683
0.2653204.25109513621513.10334160029
0.2753497.1969714461574.18810473849
0.2853798.16648793861634.84320139941
0.2954107.04994552781694.56227741538
0.354423.66533116061752.98671696702
0.3154747.75887836021809.52064047896
0.3255079.0070980521863.57391958591
0.3355417.02443629861914.7365880804
0.3455761.37827687221962.57341765736
0.3556111.61035863882007.05576522105
0.3656467.26140490712048.16542330467
0.3756827.89434796862086.20173134525
0.3857193.11125543132121.54404226041
0.3957562.55993869732154.58256894234
0.457935.92800678172185.5208465769
0.4158312.92440352242214.51615528936
0.4258693.25075610282241.34045197535
0.4359076.56674429962265.58415584648
0.4459462.45488205542286.58861760995
0.4559850.39045841392303.46699248883
0.4660239.72193766352315.24228107372
0.4760629.66600544962320.96410522304
0.4861019.31986906762319.82224279976
0.4961407.69159331192311.16778539951
0.561793.74737418792294.77234520063
0.5162176.47287139372271.02548926718
0.5262554.94413255872240.47017878062
0.5362928.40230196362204.41396237401
0.5463296.32525801392164.53904027746
0.5563658.48864257852122.8149823078
0.5664015.00857033922081.62058616072
0.5764366.35884061822043.38691742334
0.5864713.35693869742010.3850414302
0.5965057.11565647271984.64478601669
0.665398.96074882741967.41706670043
0.6165740.31937025441959.41421692294
0.6266082.58852189231959.89196559845
0.6366426.9965987421967.333717709
0.6466774.47354737031979.28119212712
0.6567125.54549164251992.59737282057
0.6667480.26767692092004.02241608551
0.6767838.20536931482010.2435503948
0.6868198.46645351282008.56779758664
0.6968559.78266702461996.99204410028
0.768920.62954079771974.38445428811
0.7169279.36903566571940.62961937811
0.7269634.3944423991896.59852748848
0.7369984.25532746991843.74018027333
0.7470327.74225656561784.31856900801
0.7570663.91773345851720.34784823333
0.7670992.09169181741654.05035615639
0.7771311.75610498331586.50608650595
0.7871622.51098499331518.38578932142
0.7971924.02818093971449.30218189484
0.872216.10337877581378.72502491549
0.8172498.83423494531306.67221588649
0.8272772.93043683521234.63892382549
0.8373040.11288207691166.61318499516
0.8473303.50630244831109.24201056236
0.8573567.89365556541071.3475408838
0.8673839.70651144981061.78044583419
0.8774126.69071531421085.72085448258
0.8874437.30308191621141.8318076607
0.8974780.01494587981222.13418287093
0.975162.73673939291315.21967084197
0.9175592.45082247421411.10761155424
0.9276074.84598118731503.85585082962
0.9376613.44750930371588.9133632081
0.9477207.7295664721654.91614356494
0.9577850.15742395161675.81551964783
0.9678522.66499915331614.56263763007
0.9779192.84776265651446.41999085452
0.9879809.4109265561197.63869564342
0.9980299.4893626789970.608034182758

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 45800.8883201665 & 851.882927633723 \tabularnewline
0.02 & 46167.280013338 & 821.247430563149 \tabularnewline
0.03 & 46576.2078821312 & 810.988384487262 \tabularnewline
0.04 & 46975.1869876043 & 826.151003117552 \tabularnewline
0.05 & 47349.4192162203 & 868.873224059398 \tabularnewline
0.06 & 47702.9982837956 & 929.568228636777 \tabularnewline
0.07 & 48043.5199512047 & 989.741419861486 \tabularnewline
0.08 & 48375.4149130717 & 1034.06078269199 \tabularnewline
0.09 & 48699.1952677588 & 1056.54209724066 \tabularnewline
0.1 & 49013.0972446493 & 1059.55788030529 \tabularnewline
0.11 & 49314.9660349832 & 1049.72144109733 \tabularnewline
0.12 & 49603.4952366176 & 1034.45905766112 \tabularnewline
0.13 & 49878.7002758429 & 1020.0975627737 \tabularnewline
0.14 & 50141.8455830888 & 1011.22696483464 \tabularnewline
0.15 & 50395.1064797786 & 1011.04312262558 \tabularnewline
0.16 & 50641.1730528896 & 1021.21229332614 \tabularnewline
0.17 & 50882.903035781 & 1042.34507306223 \tabularnewline
0.18 & 51123.0585092299 & 1073.85648380847 \tabularnewline
0.19 & 51364.1265230883 & 1114.33694000688 \tabularnewline
0.2 & 51608.2135625028 & 1162.02019933105 \tabularnewline
0.21 & 51857.0026821493 & 1215.0286597392 \tabularnewline
0.22 & 52111.7613747118 & 1271.6279739956 \tabularnewline
0.23 & 52373.3860972547 & 1330.60290997034 \tabularnewline
0.24 & 52642.4675718096 & 1390.94498221287 \tabularnewline
0.25 & 52919.3613451234 & 1451.89681900683 \tabularnewline
0.26 & 53204.2510951362 & 1513.10334160029 \tabularnewline
0.27 & 53497.196971446 & 1574.18810473849 \tabularnewline
0.28 & 53798.1664879386 & 1634.84320139941 \tabularnewline
0.29 & 54107.0499455278 & 1694.56227741538 \tabularnewline
0.3 & 54423.6653311606 & 1752.98671696702 \tabularnewline
0.31 & 54747.7588783602 & 1809.52064047896 \tabularnewline
0.32 & 55079.007098052 & 1863.57391958591 \tabularnewline
0.33 & 55417.0244362986 & 1914.7365880804 \tabularnewline
0.34 & 55761.3782768722 & 1962.57341765736 \tabularnewline
0.35 & 56111.6103586388 & 2007.05576522105 \tabularnewline
0.36 & 56467.2614049071 & 2048.16542330467 \tabularnewline
0.37 & 56827.8943479686 & 2086.20173134525 \tabularnewline
0.38 & 57193.1112554313 & 2121.54404226041 \tabularnewline
0.39 & 57562.5599386973 & 2154.58256894234 \tabularnewline
0.4 & 57935.9280067817 & 2185.5208465769 \tabularnewline
0.41 & 58312.9244035224 & 2214.51615528936 \tabularnewline
0.42 & 58693.2507561028 & 2241.34045197535 \tabularnewline
0.43 & 59076.5667442996 & 2265.58415584648 \tabularnewline
0.44 & 59462.4548820554 & 2286.58861760995 \tabularnewline
0.45 & 59850.3904584139 & 2303.46699248883 \tabularnewline
0.46 & 60239.7219376635 & 2315.24228107372 \tabularnewline
0.47 & 60629.6660054496 & 2320.96410522304 \tabularnewline
0.48 & 61019.3198690676 & 2319.82224279976 \tabularnewline
0.49 & 61407.6915933119 & 2311.16778539951 \tabularnewline
0.5 & 61793.7473741879 & 2294.77234520063 \tabularnewline
0.51 & 62176.4728713937 & 2271.02548926718 \tabularnewline
0.52 & 62554.9441325587 & 2240.47017878062 \tabularnewline
0.53 & 62928.4023019636 & 2204.41396237401 \tabularnewline
0.54 & 63296.3252580139 & 2164.53904027746 \tabularnewline
0.55 & 63658.4886425785 & 2122.8149823078 \tabularnewline
0.56 & 64015.0085703392 & 2081.62058616072 \tabularnewline
0.57 & 64366.3588406182 & 2043.38691742334 \tabularnewline
0.58 & 64713.3569386974 & 2010.3850414302 \tabularnewline
0.59 & 65057.1156564727 & 1984.64478601669 \tabularnewline
0.6 & 65398.9607488274 & 1967.41706670043 \tabularnewline
0.61 & 65740.3193702544 & 1959.41421692294 \tabularnewline
0.62 & 66082.5885218923 & 1959.89196559845 \tabularnewline
0.63 & 66426.996598742 & 1967.333717709 \tabularnewline
0.64 & 66774.4735473703 & 1979.28119212712 \tabularnewline
0.65 & 67125.5454916425 & 1992.59737282057 \tabularnewline
0.66 & 67480.2676769209 & 2004.02241608551 \tabularnewline
0.67 & 67838.2053693148 & 2010.2435503948 \tabularnewline
0.68 & 68198.4664535128 & 2008.56779758664 \tabularnewline
0.69 & 68559.7826670246 & 1996.99204410028 \tabularnewline
0.7 & 68920.6295407977 & 1974.38445428811 \tabularnewline
0.71 & 69279.3690356657 & 1940.62961937811 \tabularnewline
0.72 & 69634.394442399 & 1896.59852748848 \tabularnewline
0.73 & 69984.2553274699 & 1843.74018027333 \tabularnewline
0.74 & 70327.7422565656 & 1784.31856900801 \tabularnewline
0.75 & 70663.9177334585 & 1720.34784823333 \tabularnewline
0.76 & 70992.0916918174 & 1654.05035615639 \tabularnewline
0.77 & 71311.7561049833 & 1586.50608650595 \tabularnewline
0.78 & 71622.5109849933 & 1518.38578932142 \tabularnewline
0.79 & 71924.0281809397 & 1449.30218189484 \tabularnewline
0.8 & 72216.1033787758 & 1378.72502491549 \tabularnewline
0.81 & 72498.8342349453 & 1306.67221588649 \tabularnewline
0.82 & 72772.9304368352 & 1234.63892382549 \tabularnewline
0.83 & 73040.1128820769 & 1166.61318499516 \tabularnewline
0.84 & 73303.5063024483 & 1109.24201056236 \tabularnewline
0.85 & 73567.8936555654 & 1071.3475408838 \tabularnewline
0.86 & 73839.7065114498 & 1061.78044583419 \tabularnewline
0.87 & 74126.6907153142 & 1085.72085448258 \tabularnewline
0.88 & 74437.3030819162 & 1141.8318076607 \tabularnewline
0.89 & 74780.0149458798 & 1222.13418287093 \tabularnewline
0.9 & 75162.7367393929 & 1315.21967084197 \tabularnewline
0.91 & 75592.4508224742 & 1411.10761155424 \tabularnewline
0.92 & 76074.8459811873 & 1503.85585082962 \tabularnewline
0.93 & 76613.4475093037 & 1588.9133632081 \tabularnewline
0.94 & 77207.729566472 & 1654.91614356494 \tabularnewline
0.95 & 77850.1574239516 & 1675.81551964783 \tabularnewline
0.96 & 78522.6649991533 & 1614.56263763007 \tabularnewline
0.97 & 79192.8477626565 & 1446.41999085452 \tabularnewline
0.98 & 79809.410926556 & 1197.63869564342 \tabularnewline
0.99 & 80299.4893626789 & 970.608034182758 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294543&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]45800.8883201665[/C][C]851.882927633723[/C][/ROW]
[ROW][C]0.02[/C][C]46167.280013338[/C][C]821.247430563149[/C][/ROW]
[ROW][C]0.03[/C][C]46576.2078821312[/C][C]810.988384487262[/C][/ROW]
[ROW][C]0.04[/C][C]46975.1869876043[/C][C]826.151003117552[/C][/ROW]
[ROW][C]0.05[/C][C]47349.4192162203[/C][C]868.873224059398[/C][/ROW]
[ROW][C]0.06[/C][C]47702.9982837956[/C][C]929.568228636777[/C][/ROW]
[ROW][C]0.07[/C][C]48043.5199512047[/C][C]989.741419861486[/C][/ROW]
[ROW][C]0.08[/C][C]48375.4149130717[/C][C]1034.06078269199[/C][/ROW]
[ROW][C]0.09[/C][C]48699.1952677588[/C][C]1056.54209724066[/C][/ROW]
[ROW][C]0.1[/C][C]49013.0972446493[/C][C]1059.55788030529[/C][/ROW]
[ROW][C]0.11[/C][C]49314.9660349832[/C][C]1049.72144109733[/C][/ROW]
[ROW][C]0.12[/C][C]49603.4952366176[/C][C]1034.45905766112[/C][/ROW]
[ROW][C]0.13[/C][C]49878.7002758429[/C][C]1020.0975627737[/C][/ROW]
[ROW][C]0.14[/C][C]50141.8455830888[/C][C]1011.22696483464[/C][/ROW]
[ROW][C]0.15[/C][C]50395.1064797786[/C][C]1011.04312262558[/C][/ROW]
[ROW][C]0.16[/C][C]50641.1730528896[/C][C]1021.21229332614[/C][/ROW]
[ROW][C]0.17[/C][C]50882.903035781[/C][C]1042.34507306223[/C][/ROW]
[ROW][C]0.18[/C][C]51123.0585092299[/C][C]1073.85648380847[/C][/ROW]
[ROW][C]0.19[/C][C]51364.1265230883[/C][C]1114.33694000688[/C][/ROW]
[ROW][C]0.2[/C][C]51608.2135625028[/C][C]1162.02019933105[/C][/ROW]
[ROW][C]0.21[/C][C]51857.0026821493[/C][C]1215.0286597392[/C][/ROW]
[ROW][C]0.22[/C][C]52111.7613747118[/C][C]1271.6279739956[/C][/ROW]
[ROW][C]0.23[/C][C]52373.3860972547[/C][C]1330.60290997034[/C][/ROW]
[ROW][C]0.24[/C][C]52642.4675718096[/C][C]1390.94498221287[/C][/ROW]
[ROW][C]0.25[/C][C]52919.3613451234[/C][C]1451.89681900683[/C][/ROW]
[ROW][C]0.26[/C][C]53204.2510951362[/C][C]1513.10334160029[/C][/ROW]
[ROW][C]0.27[/C][C]53497.196971446[/C][C]1574.18810473849[/C][/ROW]
[ROW][C]0.28[/C][C]53798.1664879386[/C][C]1634.84320139941[/C][/ROW]
[ROW][C]0.29[/C][C]54107.0499455278[/C][C]1694.56227741538[/C][/ROW]
[ROW][C]0.3[/C][C]54423.6653311606[/C][C]1752.98671696702[/C][/ROW]
[ROW][C]0.31[/C][C]54747.7588783602[/C][C]1809.52064047896[/C][/ROW]
[ROW][C]0.32[/C][C]55079.007098052[/C][C]1863.57391958591[/C][/ROW]
[ROW][C]0.33[/C][C]55417.0244362986[/C][C]1914.7365880804[/C][/ROW]
[ROW][C]0.34[/C][C]55761.3782768722[/C][C]1962.57341765736[/C][/ROW]
[ROW][C]0.35[/C][C]56111.6103586388[/C][C]2007.05576522105[/C][/ROW]
[ROW][C]0.36[/C][C]56467.2614049071[/C][C]2048.16542330467[/C][/ROW]
[ROW][C]0.37[/C][C]56827.8943479686[/C][C]2086.20173134525[/C][/ROW]
[ROW][C]0.38[/C][C]57193.1112554313[/C][C]2121.54404226041[/C][/ROW]
[ROW][C]0.39[/C][C]57562.5599386973[/C][C]2154.58256894234[/C][/ROW]
[ROW][C]0.4[/C][C]57935.9280067817[/C][C]2185.5208465769[/C][/ROW]
[ROW][C]0.41[/C][C]58312.9244035224[/C][C]2214.51615528936[/C][/ROW]
[ROW][C]0.42[/C][C]58693.2507561028[/C][C]2241.34045197535[/C][/ROW]
[ROW][C]0.43[/C][C]59076.5667442996[/C][C]2265.58415584648[/C][/ROW]
[ROW][C]0.44[/C][C]59462.4548820554[/C][C]2286.58861760995[/C][/ROW]
[ROW][C]0.45[/C][C]59850.3904584139[/C][C]2303.46699248883[/C][/ROW]
[ROW][C]0.46[/C][C]60239.7219376635[/C][C]2315.24228107372[/C][/ROW]
[ROW][C]0.47[/C][C]60629.6660054496[/C][C]2320.96410522304[/C][/ROW]
[ROW][C]0.48[/C][C]61019.3198690676[/C][C]2319.82224279976[/C][/ROW]
[ROW][C]0.49[/C][C]61407.6915933119[/C][C]2311.16778539951[/C][/ROW]
[ROW][C]0.5[/C][C]61793.7473741879[/C][C]2294.77234520063[/C][/ROW]
[ROW][C]0.51[/C][C]62176.4728713937[/C][C]2271.02548926718[/C][/ROW]
[ROW][C]0.52[/C][C]62554.9441325587[/C][C]2240.47017878062[/C][/ROW]
[ROW][C]0.53[/C][C]62928.4023019636[/C][C]2204.41396237401[/C][/ROW]
[ROW][C]0.54[/C][C]63296.3252580139[/C][C]2164.53904027746[/C][/ROW]
[ROW][C]0.55[/C][C]63658.4886425785[/C][C]2122.8149823078[/C][/ROW]
[ROW][C]0.56[/C][C]64015.0085703392[/C][C]2081.62058616072[/C][/ROW]
[ROW][C]0.57[/C][C]64366.3588406182[/C][C]2043.38691742334[/C][/ROW]
[ROW][C]0.58[/C][C]64713.3569386974[/C][C]2010.3850414302[/C][/ROW]
[ROW][C]0.59[/C][C]65057.1156564727[/C][C]1984.64478601669[/C][/ROW]
[ROW][C]0.6[/C][C]65398.9607488274[/C][C]1967.41706670043[/C][/ROW]
[ROW][C]0.61[/C][C]65740.3193702544[/C][C]1959.41421692294[/C][/ROW]
[ROW][C]0.62[/C][C]66082.5885218923[/C][C]1959.89196559845[/C][/ROW]
[ROW][C]0.63[/C][C]66426.996598742[/C][C]1967.333717709[/C][/ROW]
[ROW][C]0.64[/C][C]66774.4735473703[/C][C]1979.28119212712[/C][/ROW]
[ROW][C]0.65[/C][C]67125.5454916425[/C][C]1992.59737282057[/C][/ROW]
[ROW][C]0.66[/C][C]67480.2676769209[/C][C]2004.02241608551[/C][/ROW]
[ROW][C]0.67[/C][C]67838.2053693148[/C][C]2010.2435503948[/C][/ROW]
[ROW][C]0.68[/C][C]68198.4664535128[/C][C]2008.56779758664[/C][/ROW]
[ROW][C]0.69[/C][C]68559.7826670246[/C][C]1996.99204410028[/C][/ROW]
[ROW][C]0.7[/C][C]68920.6295407977[/C][C]1974.38445428811[/C][/ROW]
[ROW][C]0.71[/C][C]69279.3690356657[/C][C]1940.62961937811[/C][/ROW]
[ROW][C]0.72[/C][C]69634.394442399[/C][C]1896.59852748848[/C][/ROW]
[ROW][C]0.73[/C][C]69984.2553274699[/C][C]1843.74018027333[/C][/ROW]
[ROW][C]0.74[/C][C]70327.7422565656[/C][C]1784.31856900801[/C][/ROW]
[ROW][C]0.75[/C][C]70663.9177334585[/C][C]1720.34784823333[/C][/ROW]
[ROW][C]0.76[/C][C]70992.0916918174[/C][C]1654.05035615639[/C][/ROW]
[ROW][C]0.77[/C][C]71311.7561049833[/C][C]1586.50608650595[/C][/ROW]
[ROW][C]0.78[/C][C]71622.5109849933[/C][C]1518.38578932142[/C][/ROW]
[ROW][C]0.79[/C][C]71924.0281809397[/C][C]1449.30218189484[/C][/ROW]
[ROW][C]0.8[/C][C]72216.1033787758[/C][C]1378.72502491549[/C][/ROW]
[ROW][C]0.81[/C][C]72498.8342349453[/C][C]1306.67221588649[/C][/ROW]
[ROW][C]0.82[/C][C]72772.9304368352[/C][C]1234.63892382549[/C][/ROW]
[ROW][C]0.83[/C][C]73040.1128820769[/C][C]1166.61318499516[/C][/ROW]
[ROW][C]0.84[/C][C]73303.5063024483[/C][C]1109.24201056236[/C][/ROW]
[ROW][C]0.85[/C][C]73567.8936555654[/C][C]1071.3475408838[/C][/ROW]
[ROW][C]0.86[/C][C]73839.7065114498[/C][C]1061.78044583419[/C][/ROW]
[ROW][C]0.87[/C][C]74126.6907153142[/C][C]1085.72085448258[/C][/ROW]
[ROW][C]0.88[/C][C]74437.3030819162[/C][C]1141.8318076607[/C][/ROW]
[ROW][C]0.89[/C][C]74780.0149458798[/C][C]1222.13418287093[/C][/ROW]
[ROW][C]0.9[/C][C]75162.7367393929[/C][C]1315.21967084197[/C][/ROW]
[ROW][C]0.91[/C][C]75592.4508224742[/C][C]1411.10761155424[/C][/ROW]
[ROW][C]0.92[/C][C]76074.8459811873[/C][C]1503.85585082962[/C][/ROW]
[ROW][C]0.93[/C][C]76613.4475093037[/C][C]1588.9133632081[/C][/ROW]
[ROW][C]0.94[/C][C]77207.729566472[/C][C]1654.91614356494[/C][/ROW]
[ROW][C]0.95[/C][C]77850.1574239516[/C][C]1675.81551964783[/C][/ROW]
[ROW][C]0.96[/C][C]78522.6649991533[/C][C]1614.56263763007[/C][/ROW]
[ROW][C]0.97[/C][C]79192.8477626565[/C][C]1446.41999085452[/C][/ROW]
[ROW][C]0.98[/C][C]79809.410926556[/C][C]1197.63869564342[/C][/ROW]
[ROW][C]0.99[/C][C]80299.4893626789[/C][C]970.608034182758[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294543&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294543&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
0.0145800.8883201665851.882927633723
0.0246167.280013338821.247430563149
0.0346576.2078821312810.988384487262
0.0446975.1869876043826.151003117552
0.0547349.4192162203868.873224059398
0.0647702.9982837956929.568228636777
0.0748043.5199512047989.741419861486
0.0848375.41491307171034.06078269199
0.0948699.19526775881056.54209724066
0.149013.09724464931059.55788030529
0.1149314.96603498321049.72144109733
0.1249603.49523661761034.45905766112
0.1349878.70027584291020.0975627737
0.1450141.84558308881011.22696483464
0.1550395.10647977861011.04312262558
0.1650641.17305288961021.21229332614
0.1750882.9030357811042.34507306223
0.1851123.05850922991073.85648380847
0.1951364.12652308831114.33694000688
0.251608.21356250281162.02019933105
0.2151857.00268214931215.0286597392
0.2252111.76137471181271.6279739956
0.2352373.38609725471330.60290997034
0.2452642.46757180961390.94498221287
0.2552919.36134512341451.89681900683
0.2653204.25109513621513.10334160029
0.2753497.1969714461574.18810473849
0.2853798.16648793861634.84320139941
0.2954107.04994552781694.56227741538
0.354423.66533116061752.98671696702
0.3154747.75887836021809.52064047896
0.3255079.0070980521863.57391958591
0.3355417.02443629861914.7365880804
0.3455761.37827687221962.57341765736
0.3556111.61035863882007.05576522105
0.3656467.26140490712048.16542330467
0.3756827.89434796862086.20173134525
0.3857193.11125543132121.54404226041
0.3957562.55993869732154.58256894234
0.457935.92800678172185.5208465769
0.4158312.92440352242214.51615528936
0.4258693.25075610282241.34045197535
0.4359076.56674429962265.58415584648
0.4459462.45488205542286.58861760995
0.4559850.39045841392303.46699248883
0.4660239.72193766352315.24228107372
0.4760629.66600544962320.96410522304
0.4861019.31986906762319.82224279976
0.4961407.69159331192311.16778539951
0.561793.74737418792294.77234520063
0.5162176.47287139372271.02548926718
0.5262554.94413255872240.47017878062
0.5362928.40230196362204.41396237401
0.5463296.32525801392164.53904027746
0.5563658.48864257852122.8149823078
0.5664015.00857033922081.62058616072
0.5764366.35884061822043.38691742334
0.5864713.35693869742010.3850414302
0.5965057.11565647271984.64478601669
0.665398.96074882741967.41706670043
0.6165740.31937025441959.41421692294
0.6266082.58852189231959.89196559845
0.6366426.9965987421967.333717709
0.6466774.47354737031979.28119212712
0.6567125.54549164251992.59737282057
0.6667480.26767692092004.02241608551
0.6767838.20536931482010.2435503948
0.6868198.46645351282008.56779758664
0.6968559.78266702461996.99204410028
0.768920.62954079771974.38445428811
0.7169279.36903566571940.62961937811
0.7269634.3944423991896.59852748848
0.7369984.25532746991843.74018027333
0.7470327.74225656561784.31856900801
0.7570663.91773345851720.34784823333
0.7670992.09169181741654.05035615639
0.7771311.75610498331586.50608650595
0.7871622.51098499331518.38578932142
0.7971924.02818093971449.30218189484
0.872216.10337877581378.72502491549
0.8172498.83423494531306.67221588649
0.8272772.93043683521234.63892382549
0.8373040.11288207691166.61318499516
0.8473303.50630244831109.24201056236
0.8573567.89365556541071.3475408838
0.8673839.70651144981061.78044583419
0.8774126.69071531421085.72085448258
0.8874437.30308191621141.8318076607
0.8974780.01494587981222.13418287093
0.975162.73673939291315.21967084197
0.9175592.45082247421411.10761155424
0.9276074.84598118731503.85585082962
0.9376613.44750930371588.9133632081
0.9477207.7295664721654.91614356494
0.9577850.15742395161675.81551964783
0.9678522.66499915331614.56263763007
0.9779192.84776265651446.41999085452
0.9879809.4109265561197.63869564342
0.9980299.4893626789970.608034182758


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')