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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, 04 Oct 2012 17:08:15 -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/2012/Oct/04/t1349384945ra3v0z7mur3ojyz.htm/, Retrieved Mon, 29 Apr 2024 13:50:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172114, Retrieved Mon, 29 Apr 2024 13:50:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79

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] [harrel-davis perc...] [2012-10-04 21:08:15] [947a57da244ad2f0e7543615f7f5630b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
65
65.3
62.9
63.5
62.1
59.3
61.6
61.5
60.1
59.5
62.7
65.5
63.8
63.8
62.7
62.3
62.4
64.8
66.4
65.1
67.4
68.8
68.6
71.5
75
84.3
84
79.1
78.8
82.7
85.3
84.5
80.8
70.1
68.2
68.1
72.3
73.1
71.5
74.1
80.3
80.6
81.4
87.4
89.3
93.2
92.8
96.8
100.3
95.6
89
87.4
86.7
92.8
98.6
100.8
105.5
107.8
113.7
120.3
126.5
134.8
134.5
133.1
128.8
127.1
129.1
128.4
126.5
117.1
114.2
109.1

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=172114&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=172114&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172114&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
0.0159.43520843532780.373571558649778
0.0259.71254785071450.660339423393601
0.0360.09586324153670.880898254485619
0.0460.52654297353040.959863406086089
0.0560.9493394112040.917225095244749
0.0661.32817681333660.813626068816476
0.0761.6496232657340.704685867527457
0.0861.91727498221220.621923430474414
0.0962.14341043956190.575695969044035
0.162.34244001772860.565311823021416
0.1162.52736898836710.586082085196358
0.1262.70851152199210.631259011159885
0.1362.89333487412930.693376970109278
0.1463.08671905188680.764867459100666
0.1563.29135967871520.839235017325547
0.1663.50826195699320.911863261077771
0.1763.7373097695620.980526531213482
0.1863.97785763015041.04540868734879
0.1964.22926141968631.10869424654582
0.264.49126454269871.17395536416647
0.2164.76418711215621.24484071881221
0.2265.04891304855631.32396184546782
0.2365.34671755507051.41221964934485
0.2465.65901155434551.50886513947395
0.2565.9870913869521.6114546948196
0.2666.33196916056641.71737191616311
0.2766.69432674480141.82456848530433
0.2867.07459538110051.93236729386619
0.2967.4731259991362.04133365431033
0.367.89039279174332.15349568516932
0.3168.32716869498322.27200171196647
0.3268.78462383212772.39934635471951
0.3369.26431975891252.53790161421024
0.3469.7680954139612.68883409261205
0.3570.2978591232252.85139431919243
0.3670.85531274842023.02394545521809
0.3771.44164040447913.20221453739058
0.3872.05719780529013.38071433828375
0.3972.70124106795963.55234594890916
0.473.37173531215763.70889610551964
0.4174.06528115534743.84161805327873
0.4274.77718819012983.9429084552068
0.4375.50170718175524.00675141834233
0.4476.23240848892194.0296933727694
0.4576.96266776201764.01179467585388
0.4677.68619796592643.95673607824385
0.4778.39755561589013.87098156797953
0.4879.09255263554273.76352574350866
0.4979.7685232081373.64436752579462
0.580.42442300746113.52363211291101
0.5181.06076907700883.4102831022194
0.5281.67945465081323.31159095237861
0.5382.28348846499953.23269103781202
0.5482.87671012872923.17686687168772
0.5583.46352331761643.14575317853056
0.5684.04867141443043.1402939831357
0.5784.63706168590383.16052546362709
0.5885.23362965300623.20590592794391
0.5985.84322853469313.27568507711487
0.686.47053034054773.36846033087324
0.6187.11993351202713.4819232471682
0.6287.7954832311573.61321733778615
0.6388.50082018912123.75912438110862
0.6489.23917784831743.91616488038406
0.6590.01344474166894.08143540879027
0.6690.82629701543824.2531085985786
0.6791.68038935095754.43087934657837
0.6892.57857348168364.61573425441624
0.6993.52409759683624.80984905222292
0.794.52073183997845.01635766986165
0.7195.57276880285915.23793436274279
0.7296.68486552441425.47591911325994
0.7397.86172444498085.72935984813923
0.7499.10765064451375.99431199004532
0.75100.4260623697466.26368163614684
0.76101.8190574506856.52788726793606
0.77103.2871333641886.77642349849169
0.78104.8291102337326.99920370154989
0.79106.4422128898457.18847589367322
0.8108.1221510025987.33937657432779
0.81109.8629426786547.44843530258565
0.82111.6562235458937.5112714700944
0.83113.4899311865487.51781141539146
0.84115.3465688249697.4498152015159
0.85117.2016626125297.28030789110526
0.86119.0233702520716.97970172359712
0.87120.7742659196166.52617456321208
0.88122.41596456565.91872604715943
0.89123.9164626050235.18692137876043
0.9125.2590349489574.39395509717246
0.91126.4504558785093.63084155086069
0.92127.5253149805293.00417681462126
0.93128.5424118600112.61392529919608
0.94129.5693710109762.49896153191104
0.95130.6546023019742.56103728406697
0.96131.7935870451062.57397263220795
0.97132.907639731082.30089863707149
0.98133.8584564610281.65232587352205
0.99134.5078024929730.824258334993432

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 59.4352084353278 & 0.373571558649778 \tabularnewline
0.02 & 59.7125478507145 & 0.660339423393601 \tabularnewline
0.03 & 60.0958632415367 & 0.880898254485619 \tabularnewline
0.04 & 60.5265429735304 & 0.959863406086089 \tabularnewline
0.05 & 60.949339411204 & 0.917225095244749 \tabularnewline
0.06 & 61.3281768133366 & 0.813626068816476 \tabularnewline
0.07 & 61.649623265734 & 0.704685867527457 \tabularnewline
0.08 & 61.9172749822122 & 0.621923430474414 \tabularnewline
0.09 & 62.1434104395619 & 0.575695969044035 \tabularnewline
0.1 & 62.3424400177286 & 0.565311823021416 \tabularnewline
0.11 & 62.5273689883671 & 0.586082085196358 \tabularnewline
0.12 & 62.7085115219921 & 0.631259011159885 \tabularnewline
0.13 & 62.8933348741293 & 0.693376970109278 \tabularnewline
0.14 & 63.0867190518868 & 0.764867459100666 \tabularnewline
0.15 & 63.2913596787152 & 0.839235017325547 \tabularnewline
0.16 & 63.5082619569932 & 0.911863261077771 \tabularnewline
0.17 & 63.737309769562 & 0.980526531213482 \tabularnewline
0.18 & 63.9778576301504 & 1.04540868734879 \tabularnewline
0.19 & 64.2292614196863 & 1.10869424654582 \tabularnewline
0.2 & 64.4912645426987 & 1.17395536416647 \tabularnewline
0.21 & 64.7641871121562 & 1.24484071881221 \tabularnewline
0.22 & 65.0489130485563 & 1.32396184546782 \tabularnewline
0.23 & 65.3467175550705 & 1.41221964934485 \tabularnewline
0.24 & 65.6590115543455 & 1.50886513947395 \tabularnewline
0.25 & 65.987091386952 & 1.6114546948196 \tabularnewline
0.26 & 66.3319691605664 & 1.71737191616311 \tabularnewline
0.27 & 66.6943267448014 & 1.82456848530433 \tabularnewline
0.28 & 67.0745953811005 & 1.93236729386619 \tabularnewline
0.29 & 67.473125999136 & 2.04133365431033 \tabularnewline
0.3 & 67.8903927917433 & 2.15349568516932 \tabularnewline
0.31 & 68.3271686949832 & 2.27200171196647 \tabularnewline
0.32 & 68.7846238321277 & 2.39934635471951 \tabularnewline
0.33 & 69.2643197589125 & 2.53790161421024 \tabularnewline
0.34 & 69.768095413961 & 2.68883409261205 \tabularnewline
0.35 & 70.297859123225 & 2.85139431919243 \tabularnewline
0.36 & 70.8553127484202 & 3.02394545521809 \tabularnewline
0.37 & 71.4416404044791 & 3.20221453739058 \tabularnewline
0.38 & 72.0571978052901 & 3.38071433828375 \tabularnewline
0.39 & 72.7012410679596 & 3.55234594890916 \tabularnewline
0.4 & 73.3717353121576 & 3.70889610551964 \tabularnewline
0.41 & 74.0652811553474 & 3.84161805327873 \tabularnewline
0.42 & 74.7771881901298 & 3.9429084552068 \tabularnewline
0.43 & 75.5017071817552 & 4.00675141834233 \tabularnewline
0.44 & 76.2324084889219 & 4.0296933727694 \tabularnewline
0.45 & 76.9626677620176 & 4.01179467585388 \tabularnewline
0.46 & 77.6861979659264 & 3.95673607824385 \tabularnewline
0.47 & 78.3975556158901 & 3.87098156797953 \tabularnewline
0.48 & 79.0925526355427 & 3.76352574350866 \tabularnewline
0.49 & 79.768523208137 & 3.64436752579462 \tabularnewline
0.5 & 80.4244230074611 & 3.52363211291101 \tabularnewline
0.51 & 81.0607690770088 & 3.4102831022194 \tabularnewline
0.52 & 81.6794546508132 & 3.31159095237861 \tabularnewline
0.53 & 82.2834884649995 & 3.23269103781202 \tabularnewline
0.54 & 82.8767101287292 & 3.17686687168772 \tabularnewline
0.55 & 83.4635233176164 & 3.14575317853056 \tabularnewline
0.56 & 84.0486714144304 & 3.1402939831357 \tabularnewline
0.57 & 84.6370616859038 & 3.16052546362709 \tabularnewline
0.58 & 85.2336296530062 & 3.20590592794391 \tabularnewline
0.59 & 85.8432285346931 & 3.27568507711487 \tabularnewline
0.6 & 86.4705303405477 & 3.36846033087324 \tabularnewline
0.61 & 87.1199335120271 & 3.4819232471682 \tabularnewline
0.62 & 87.795483231157 & 3.61321733778615 \tabularnewline
0.63 & 88.5008201891212 & 3.75912438110862 \tabularnewline
0.64 & 89.2391778483174 & 3.91616488038406 \tabularnewline
0.65 & 90.0134447416689 & 4.08143540879027 \tabularnewline
0.66 & 90.8262970154382 & 4.2531085985786 \tabularnewline
0.67 & 91.6803893509575 & 4.43087934657837 \tabularnewline
0.68 & 92.5785734816836 & 4.61573425441624 \tabularnewline
0.69 & 93.5240975968362 & 4.80984905222292 \tabularnewline
0.7 & 94.5207318399784 & 5.01635766986165 \tabularnewline
0.71 & 95.5727688028591 & 5.23793436274279 \tabularnewline
0.72 & 96.6848655244142 & 5.47591911325994 \tabularnewline
0.73 & 97.8617244449808 & 5.72935984813923 \tabularnewline
0.74 & 99.1076506445137 & 5.99431199004532 \tabularnewline
0.75 & 100.426062369746 & 6.26368163614684 \tabularnewline
0.76 & 101.819057450685 & 6.52788726793606 \tabularnewline
0.77 & 103.287133364188 & 6.77642349849169 \tabularnewline
0.78 & 104.829110233732 & 6.99920370154989 \tabularnewline
0.79 & 106.442212889845 & 7.18847589367322 \tabularnewline
0.8 & 108.122151002598 & 7.33937657432779 \tabularnewline
0.81 & 109.862942678654 & 7.44843530258565 \tabularnewline
0.82 & 111.656223545893 & 7.5112714700944 \tabularnewline
0.83 & 113.489931186548 & 7.51781141539146 \tabularnewline
0.84 & 115.346568824969 & 7.4498152015159 \tabularnewline
0.85 & 117.201662612529 & 7.28030789110526 \tabularnewline
0.86 & 119.023370252071 & 6.97970172359712 \tabularnewline
0.87 & 120.774265919616 & 6.52617456321208 \tabularnewline
0.88 & 122.4159645656 & 5.91872604715943 \tabularnewline
0.89 & 123.916462605023 & 5.18692137876043 \tabularnewline
0.9 & 125.259034948957 & 4.39395509717246 \tabularnewline
0.91 & 126.450455878509 & 3.63084155086069 \tabularnewline
0.92 & 127.525314980529 & 3.00417681462126 \tabularnewline
0.93 & 128.542411860011 & 2.61392529919608 \tabularnewline
0.94 & 129.569371010976 & 2.49896153191104 \tabularnewline
0.95 & 130.654602301974 & 2.56103728406697 \tabularnewline
0.96 & 131.793587045106 & 2.57397263220795 \tabularnewline
0.97 & 132.90763973108 & 2.30089863707149 \tabularnewline
0.98 & 133.858456461028 & 1.65232587352205 \tabularnewline
0.99 & 134.507802492973 & 0.824258334993432 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172114&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]59.4352084353278[/C][C]0.373571558649778[/C][/ROW]
[ROW][C]0.02[/C][C]59.7125478507145[/C][C]0.660339423393601[/C][/ROW]
[ROW][C]0.03[/C][C]60.0958632415367[/C][C]0.880898254485619[/C][/ROW]
[ROW][C]0.04[/C][C]60.5265429735304[/C][C]0.959863406086089[/C][/ROW]
[ROW][C]0.05[/C][C]60.949339411204[/C][C]0.917225095244749[/C][/ROW]
[ROW][C]0.06[/C][C]61.3281768133366[/C][C]0.813626068816476[/C][/ROW]
[ROW][C]0.07[/C][C]61.649623265734[/C][C]0.704685867527457[/C][/ROW]
[ROW][C]0.08[/C][C]61.9172749822122[/C][C]0.621923430474414[/C][/ROW]
[ROW][C]0.09[/C][C]62.1434104395619[/C][C]0.575695969044035[/C][/ROW]
[ROW][C]0.1[/C][C]62.3424400177286[/C][C]0.565311823021416[/C][/ROW]
[ROW][C]0.11[/C][C]62.5273689883671[/C][C]0.586082085196358[/C][/ROW]
[ROW][C]0.12[/C][C]62.7085115219921[/C][C]0.631259011159885[/C][/ROW]
[ROW][C]0.13[/C][C]62.8933348741293[/C][C]0.693376970109278[/C][/ROW]
[ROW][C]0.14[/C][C]63.0867190518868[/C][C]0.764867459100666[/C][/ROW]
[ROW][C]0.15[/C][C]63.2913596787152[/C][C]0.839235017325547[/C][/ROW]
[ROW][C]0.16[/C][C]63.5082619569932[/C][C]0.911863261077771[/C][/ROW]
[ROW][C]0.17[/C][C]63.737309769562[/C][C]0.980526531213482[/C][/ROW]
[ROW][C]0.18[/C][C]63.9778576301504[/C][C]1.04540868734879[/C][/ROW]
[ROW][C]0.19[/C][C]64.2292614196863[/C][C]1.10869424654582[/C][/ROW]
[ROW][C]0.2[/C][C]64.4912645426987[/C][C]1.17395536416647[/C][/ROW]
[ROW][C]0.21[/C][C]64.7641871121562[/C][C]1.24484071881221[/C][/ROW]
[ROW][C]0.22[/C][C]65.0489130485563[/C][C]1.32396184546782[/C][/ROW]
[ROW][C]0.23[/C][C]65.3467175550705[/C][C]1.41221964934485[/C][/ROW]
[ROW][C]0.24[/C][C]65.6590115543455[/C][C]1.50886513947395[/C][/ROW]
[ROW][C]0.25[/C][C]65.987091386952[/C][C]1.6114546948196[/C][/ROW]
[ROW][C]0.26[/C][C]66.3319691605664[/C][C]1.71737191616311[/C][/ROW]
[ROW][C]0.27[/C][C]66.6943267448014[/C][C]1.82456848530433[/C][/ROW]
[ROW][C]0.28[/C][C]67.0745953811005[/C][C]1.93236729386619[/C][/ROW]
[ROW][C]0.29[/C][C]67.473125999136[/C][C]2.04133365431033[/C][/ROW]
[ROW][C]0.3[/C][C]67.8903927917433[/C][C]2.15349568516932[/C][/ROW]
[ROW][C]0.31[/C][C]68.3271686949832[/C][C]2.27200171196647[/C][/ROW]
[ROW][C]0.32[/C][C]68.7846238321277[/C][C]2.39934635471951[/C][/ROW]
[ROW][C]0.33[/C][C]69.2643197589125[/C][C]2.53790161421024[/C][/ROW]
[ROW][C]0.34[/C][C]69.768095413961[/C][C]2.68883409261205[/C][/ROW]
[ROW][C]0.35[/C][C]70.297859123225[/C][C]2.85139431919243[/C][/ROW]
[ROW][C]0.36[/C][C]70.8553127484202[/C][C]3.02394545521809[/C][/ROW]
[ROW][C]0.37[/C][C]71.4416404044791[/C][C]3.20221453739058[/C][/ROW]
[ROW][C]0.38[/C][C]72.0571978052901[/C][C]3.38071433828375[/C][/ROW]
[ROW][C]0.39[/C][C]72.7012410679596[/C][C]3.55234594890916[/C][/ROW]
[ROW][C]0.4[/C][C]73.3717353121576[/C][C]3.70889610551964[/C][/ROW]
[ROW][C]0.41[/C][C]74.0652811553474[/C][C]3.84161805327873[/C][/ROW]
[ROW][C]0.42[/C][C]74.7771881901298[/C][C]3.9429084552068[/C][/ROW]
[ROW][C]0.43[/C][C]75.5017071817552[/C][C]4.00675141834233[/C][/ROW]
[ROW][C]0.44[/C][C]76.2324084889219[/C][C]4.0296933727694[/C][/ROW]
[ROW][C]0.45[/C][C]76.9626677620176[/C][C]4.01179467585388[/C][/ROW]
[ROW][C]0.46[/C][C]77.6861979659264[/C][C]3.95673607824385[/C][/ROW]
[ROW][C]0.47[/C][C]78.3975556158901[/C][C]3.87098156797953[/C][/ROW]
[ROW][C]0.48[/C][C]79.0925526355427[/C][C]3.76352574350866[/C][/ROW]
[ROW][C]0.49[/C][C]79.768523208137[/C][C]3.64436752579462[/C][/ROW]
[ROW][C]0.5[/C][C]80.4244230074611[/C][C]3.52363211291101[/C][/ROW]
[ROW][C]0.51[/C][C]81.0607690770088[/C][C]3.4102831022194[/C][/ROW]
[ROW][C]0.52[/C][C]81.6794546508132[/C][C]3.31159095237861[/C][/ROW]
[ROW][C]0.53[/C][C]82.2834884649995[/C][C]3.23269103781202[/C][/ROW]
[ROW][C]0.54[/C][C]82.8767101287292[/C][C]3.17686687168772[/C][/ROW]
[ROW][C]0.55[/C][C]83.4635233176164[/C][C]3.14575317853056[/C][/ROW]
[ROW][C]0.56[/C][C]84.0486714144304[/C][C]3.1402939831357[/C][/ROW]
[ROW][C]0.57[/C][C]84.6370616859038[/C][C]3.16052546362709[/C][/ROW]
[ROW][C]0.58[/C][C]85.2336296530062[/C][C]3.20590592794391[/C][/ROW]
[ROW][C]0.59[/C][C]85.8432285346931[/C][C]3.27568507711487[/C][/ROW]
[ROW][C]0.6[/C][C]86.4705303405477[/C][C]3.36846033087324[/C][/ROW]
[ROW][C]0.61[/C][C]87.1199335120271[/C][C]3.4819232471682[/C][/ROW]
[ROW][C]0.62[/C][C]87.795483231157[/C][C]3.61321733778615[/C][/ROW]
[ROW][C]0.63[/C][C]88.5008201891212[/C][C]3.75912438110862[/C][/ROW]
[ROW][C]0.64[/C][C]89.2391778483174[/C][C]3.91616488038406[/C][/ROW]
[ROW][C]0.65[/C][C]90.0134447416689[/C][C]4.08143540879027[/C][/ROW]
[ROW][C]0.66[/C][C]90.8262970154382[/C][C]4.2531085985786[/C][/ROW]
[ROW][C]0.67[/C][C]91.6803893509575[/C][C]4.43087934657837[/C][/ROW]
[ROW][C]0.68[/C][C]92.5785734816836[/C][C]4.61573425441624[/C][/ROW]
[ROW][C]0.69[/C][C]93.5240975968362[/C][C]4.80984905222292[/C][/ROW]
[ROW][C]0.7[/C][C]94.5207318399784[/C][C]5.01635766986165[/C][/ROW]
[ROW][C]0.71[/C][C]95.5727688028591[/C][C]5.23793436274279[/C][/ROW]
[ROW][C]0.72[/C][C]96.6848655244142[/C][C]5.47591911325994[/C][/ROW]
[ROW][C]0.73[/C][C]97.8617244449808[/C][C]5.72935984813923[/C][/ROW]
[ROW][C]0.74[/C][C]99.1076506445137[/C][C]5.99431199004532[/C][/ROW]
[ROW][C]0.75[/C][C]100.426062369746[/C][C]6.26368163614684[/C][/ROW]
[ROW][C]0.76[/C][C]101.819057450685[/C][C]6.52788726793606[/C][/ROW]
[ROW][C]0.77[/C][C]103.287133364188[/C][C]6.77642349849169[/C][/ROW]
[ROW][C]0.78[/C][C]104.829110233732[/C][C]6.99920370154989[/C][/ROW]
[ROW][C]0.79[/C][C]106.442212889845[/C][C]7.18847589367322[/C][/ROW]
[ROW][C]0.8[/C][C]108.122151002598[/C][C]7.33937657432779[/C][/ROW]
[ROW][C]0.81[/C][C]109.862942678654[/C][C]7.44843530258565[/C][/ROW]
[ROW][C]0.82[/C][C]111.656223545893[/C][C]7.5112714700944[/C][/ROW]
[ROW][C]0.83[/C][C]113.489931186548[/C][C]7.51781141539146[/C][/ROW]
[ROW][C]0.84[/C][C]115.346568824969[/C][C]7.4498152015159[/C][/ROW]
[ROW][C]0.85[/C][C]117.201662612529[/C][C]7.28030789110526[/C][/ROW]
[ROW][C]0.86[/C][C]119.023370252071[/C][C]6.97970172359712[/C][/ROW]
[ROW][C]0.87[/C][C]120.774265919616[/C][C]6.52617456321208[/C][/ROW]
[ROW][C]0.88[/C][C]122.4159645656[/C][C]5.91872604715943[/C][/ROW]
[ROW][C]0.89[/C][C]123.916462605023[/C][C]5.18692137876043[/C][/ROW]
[ROW][C]0.9[/C][C]125.259034948957[/C][C]4.39395509717246[/C][/ROW]
[ROW][C]0.91[/C][C]126.450455878509[/C][C]3.63084155086069[/C][/ROW]
[ROW][C]0.92[/C][C]127.525314980529[/C][C]3.00417681462126[/C][/ROW]
[ROW][C]0.93[/C][C]128.542411860011[/C][C]2.61392529919608[/C][/ROW]
[ROW][C]0.94[/C][C]129.569371010976[/C][C]2.49896153191104[/C][/ROW]
[ROW][C]0.95[/C][C]130.654602301974[/C][C]2.56103728406697[/C][/ROW]
[ROW][C]0.96[/C][C]131.793587045106[/C][C]2.57397263220795[/C][/ROW]
[ROW][C]0.97[/C][C]132.90763973108[/C][C]2.30089863707149[/C][/ROW]
[ROW][C]0.98[/C][C]133.858456461028[/C][C]1.65232587352205[/C][/ROW]
[ROW][C]0.99[/C][C]134.507802492973[/C][C]0.824258334993432[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172114&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172114&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
0.0159.43520843532780.373571558649778
0.0259.71254785071450.660339423393601
0.0360.09586324153670.880898254485619
0.0460.52654297353040.959863406086089
0.0560.9493394112040.917225095244749
0.0661.32817681333660.813626068816476
0.0761.6496232657340.704685867527457
0.0861.91727498221220.621923430474414
0.0962.14341043956190.575695969044035
0.162.34244001772860.565311823021416
0.1162.52736898836710.586082085196358
0.1262.70851152199210.631259011159885
0.1362.89333487412930.693376970109278
0.1463.08671905188680.764867459100666
0.1563.29135967871520.839235017325547
0.1663.50826195699320.911863261077771
0.1763.7373097695620.980526531213482
0.1863.97785763015041.04540868734879
0.1964.22926141968631.10869424654582
0.264.49126454269871.17395536416647
0.2164.76418711215621.24484071881221
0.2265.04891304855631.32396184546782
0.2365.34671755507051.41221964934485
0.2465.65901155434551.50886513947395
0.2565.9870913869521.6114546948196
0.2666.33196916056641.71737191616311
0.2766.69432674480141.82456848530433
0.2867.07459538110051.93236729386619
0.2967.4731259991362.04133365431033
0.367.89039279174332.15349568516932
0.3168.32716869498322.27200171196647
0.3268.78462383212772.39934635471951
0.3369.26431975891252.53790161421024
0.3469.7680954139612.68883409261205
0.3570.2978591232252.85139431919243
0.3670.85531274842023.02394545521809
0.3771.44164040447913.20221453739058
0.3872.05719780529013.38071433828375
0.3972.70124106795963.55234594890916
0.473.37173531215763.70889610551964
0.4174.06528115534743.84161805327873
0.4274.77718819012983.9429084552068
0.4375.50170718175524.00675141834233
0.4476.23240848892194.0296933727694
0.4576.96266776201764.01179467585388
0.4677.68619796592643.95673607824385
0.4778.39755561589013.87098156797953
0.4879.09255263554273.76352574350866
0.4979.7685232081373.64436752579462
0.580.42442300746113.52363211291101
0.5181.06076907700883.4102831022194
0.5281.67945465081323.31159095237861
0.5382.28348846499953.23269103781202
0.5482.87671012872923.17686687168772
0.5583.46352331761643.14575317853056
0.5684.04867141443043.1402939831357
0.5784.63706168590383.16052546362709
0.5885.23362965300623.20590592794391
0.5985.84322853469313.27568507711487
0.686.47053034054773.36846033087324
0.6187.11993351202713.4819232471682
0.6287.7954832311573.61321733778615
0.6388.50082018912123.75912438110862
0.6489.23917784831743.91616488038406
0.6590.01344474166894.08143540879027
0.6690.82629701543824.2531085985786
0.6791.68038935095754.43087934657837
0.6892.57857348168364.61573425441624
0.6993.52409759683624.80984905222292
0.794.52073183997845.01635766986165
0.7195.57276880285915.23793436274279
0.7296.68486552441425.47591911325994
0.7397.86172444498085.72935984813923
0.7499.10765064451375.99431199004532
0.75100.4260623697466.26368163614684
0.76101.8190574506856.52788726793606
0.77103.2871333641886.77642349849169
0.78104.8291102337326.99920370154989
0.79106.4422128898457.18847589367322
0.8108.1221510025987.33937657432779
0.81109.8629426786547.44843530258565
0.82111.6562235458937.5112714700944
0.83113.4899311865487.51781141539146
0.84115.3465688249697.4498152015159
0.85117.2016626125297.28030789110526
0.86119.0233702520716.97970172359712
0.87120.7742659196166.52617456321208
0.88122.41596456565.91872604715943
0.89123.9164626050235.18692137876043
0.9125.2590349489574.39395509717246
0.91126.4504558785093.63084155086069
0.92127.5253149805293.00417681462126
0.93128.5424118600112.61392529919608
0.94129.5693710109762.49896153191104
0.95130.6546023019742.56103728406697
0.96131.7935870451062.57397263220795
0.97132.907639731082.30089863707149
0.98133.8584564610281.65232587352205
0.99134.5078024929730.824258334993432


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')