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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, 03 Oct 2013 13:31:05 -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/03/t1380823109y2fkb6hg6j763rv.htm/, Retrieved Thu, 02 May 2024 00:40:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212957, Retrieved Thu, 02 May 2024 00:40:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

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] [] [2013-10-03 17:31:05] [edfef9daf94f6afee2f7e041aec7fc2a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93,61
93,17
91,60
90,30
90,88
91,06
92,05
95,29
96,44
96,49
96,52
96,09
99,16
98,09
99,41
99,87
100,06
99,65
99,92
98,44
102,64
112,33
115,63
118,29
121,43
129,96
147,73
154,10
150,09
144,14
141,54
136,68
129,32
118,99
109,61
106,22
104,97
102,45
101,91
101,77
102,67
103,45
101,41
102,45
102,17
101,40
101,68
100,61
97,93
98,30
99,79
101,62
101,55
102,43
102,09
102,01
102,26
101,24
100,91
100,67
100,33
99,99
99,23
98,17
97,38
96,70
98,65
100,68
101,07
101,12
101,13
99,88
99,20
99,91
103,62
108,05
113,96
117,39
126,04
139,67
145,04
142,37
137,72
132,46

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=212957&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=212957&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212957&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
0.0190.52228994051270.503348112915734
0.0290.86696750905930.541007700404432
0.0391.26350974843680.744350803690579
0.0491.71455187331771.02114917572915
0.0592.23403572047571.29405403975122
0.0692.81521793370961.5113747025428
0.0793.43262483428991.63821058105448
0.0894.05269831277861.66021240554896
0.0994.6433915010421.58694068079697
0.195.181069072461.44875460547416
0.1195.65401447345681.28575928966434
0.1296.06220161938391.13537412388431
0.1396.41407076277541.02095385490019
0.1496.72197238873760.947359380704231
0.1596.99805201422280.904675715525116
0.1697.25170749220650.877602357288769
0.1797.48884133130080.853839757712816
0.1897.71242983137790.827178351419201
0.1997.92366027670950.796797905833446
0.298.12299922920220.764747835174398
0.2198.3108573444820.73327269154528
0.2298.48781514296670.703651412114975
0.2398.65455672580630.67579812500646
0.2498.81170487412950.648356956719335
0.2598.95970299751290.620037346779984
0.2699.09880671496090.59012805501831
0.2799.22917664617260.558629518124057
0.2899.35102498794280.52658497782589
0.2999.46476076768210.495803967741015
0.399.57109067479790.467916012555463
0.3199.67105169220060.445397519286962
0.3299.76597043734870.42959319325085
0.3399.85735905567940.421659033666662
0.3499.94676826207960.421553095943174
0.35100.0356247409440.428023001283231
0.36100.125082149450.439222590177092
0.37100.2159118417470.452617006674095
0.38100.3084513106210.465593080264297
0.39100.4026167126280.476337993493545
0.4100.4979733355770.483047611873948
0.41100.5938474586220.485163224764569
0.42100.6894570664980.4824239197716
0.43100.784038267520.475605386235972
0.44100.8769484647350.465716683267675
0.45100.9677346337160.453813027092469
0.46101.0561633061720.441419656265593
0.47101.1422161233750.429402234792161
0.48101.2260598987690.418730293830785
0.49101.3080026712510.410133642086171
0.5101.3884476247020.403592255211148
0.51101.4678557962210.399565793113948
0.52101.5467270537040.397675558299502
0.53101.6256075084950.39839379566554
0.54101.70513053330.401976742711065
0.55101.7860976064910.409338691673994
0.56101.8696036511260.421701242934019
0.57101.9572085453630.442108036381389
0.58102.0511512910240.474322265048229
0.59102.1545955438850.523537689409864
0.6102.2718850682740.596467051713842
0.61102.4087762372670.700821238806313
0.62102.5726038964890.844222988154046
0.63102.7723294473991.0337883848861
0.64103.0184190343181.27549822359178
0.65103.322508322741.57259990058272
0.66103.6968308797891.92504144319921
0.67104.1534204292712.32822252138795
0.68104.703141694182.77300080867732
0.69105.3546553838123.24505988109578
0.7106.1134714781263.72599817208211
0.71106.9812786456864.19501681622103
0.72107.9557407541224.63148357806186
0.73109.0309083638975.0179544070651
0.74110.1982938462735.34369369487239
0.75111.4485068676265.60703732627986
0.76112.77316733695.81646814458592
0.77114.1666548775475.98965575611833
0.78115.6271835705636.14886724886884
0.79117.1567686796276.31449166792907
0.8118.7598999596376.49717955718811
0.81120.4411067939086.69245427424196
0.82122.2019737432446.87988205030752
0.83124.0383873446437.02816237553279
0.84125.9387552197637.1032234108943
0.85127.8836437688017.07628084639312
0.86129.8468733122156.92970992290285
0.87131.7977945757556.65820501721991
0.88133.7043857808636.26811750871354
0.89135.5369323069075.77757860783972
0.9137.2722224132215.21602694431029
0.91138.8982419617034.62459022741685
0.92140.4191806190874.05465026622107
0.93141.8601137761363.56367276423448
0.94143.2700837286563.20741026955338
0.95144.7223248031243.02182654700174
0.96146.3121416763042.99159486000012
0.97148.1488084752183.04850969336622
0.98150.2960744294083.17807402376802
0.99152.543203407993.51900187329893

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.5222899405127 & 0.503348112915734 \tabularnewline
0.02 & 90.8669675090593 & 0.541007700404432 \tabularnewline
0.03 & 91.2635097484368 & 0.744350803690579 \tabularnewline
0.04 & 91.7145518733177 & 1.02114917572915 \tabularnewline
0.05 & 92.2340357204757 & 1.29405403975122 \tabularnewline
0.06 & 92.8152179337096 & 1.5113747025428 \tabularnewline
0.07 & 93.4326248342899 & 1.63821058105448 \tabularnewline
0.08 & 94.0526983127786 & 1.66021240554896 \tabularnewline
0.09 & 94.643391501042 & 1.58694068079697 \tabularnewline
0.1 & 95.18106907246 & 1.44875460547416 \tabularnewline
0.11 & 95.6540144734568 & 1.28575928966434 \tabularnewline
0.12 & 96.0622016193839 & 1.13537412388431 \tabularnewline
0.13 & 96.4140707627754 & 1.02095385490019 \tabularnewline
0.14 & 96.7219723887376 & 0.947359380704231 \tabularnewline
0.15 & 96.9980520142228 & 0.904675715525116 \tabularnewline
0.16 & 97.2517074922065 & 0.877602357288769 \tabularnewline
0.17 & 97.4888413313008 & 0.853839757712816 \tabularnewline
0.18 & 97.7124298313779 & 0.827178351419201 \tabularnewline
0.19 & 97.9236602767095 & 0.796797905833446 \tabularnewline
0.2 & 98.1229992292022 & 0.764747835174398 \tabularnewline
0.21 & 98.310857344482 & 0.73327269154528 \tabularnewline
0.22 & 98.4878151429667 & 0.703651412114975 \tabularnewline
0.23 & 98.6545567258063 & 0.67579812500646 \tabularnewline
0.24 & 98.8117048741295 & 0.648356956719335 \tabularnewline
0.25 & 98.9597029975129 & 0.620037346779984 \tabularnewline
0.26 & 99.0988067149609 & 0.59012805501831 \tabularnewline
0.27 & 99.2291766461726 & 0.558629518124057 \tabularnewline
0.28 & 99.3510249879428 & 0.52658497782589 \tabularnewline
0.29 & 99.4647607676821 & 0.495803967741015 \tabularnewline
0.3 & 99.5710906747979 & 0.467916012555463 \tabularnewline
0.31 & 99.6710516922006 & 0.445397519286962 \tabularnewline
0.32 & 99.7659704373487 & 0.42959319325085 \tabularnewline
0.33 & 99.8573590556794 & 0.421659033666662 \tabularnewline
0.34 & 99.9467682620796 & 0.421553095943174 \tabularnewline
0.35 & 100.035624740944 & 0.428023001283231 \tabularnewline
0.36 & 100.12508214945 & 0.439222590177092 \tabularnewline
0.37 & 100.215911841747 & 0.452617006674095 \tabularnewline
0.38 & 100.308451310621 & 0.465593080264297 \tabularnewline
0.39 & 100.402616712628 & 0.476337993493545 \tabularnewline
0.4 & 100.497973335577 & 0.483047611873948 \tabularnewline
0.41 & 100.593847458622 & 0.485163224764569 \tabularnewline
0.42 & 100.689457066498 & 0.4824239197716 \tabularnewline
0.43 & 100.78403826752 & 0.475605386235972 \tabularnewline
0.44 & 100.876948464735 & 0.465716683267675 \tabularnewline
0.45 & 100.967734633716 & 0.453813027092469 \tabularnewline
0.46 & 101.056163306172 & 0.441419656265593 \tabularnewline
0.47 & 101.142216123375 & 0.429402234792161 \tabularnewline
0.48 & 101.226059898769 & 0.418730293830785 \tabularnewline
0.49 & 101.308002671251 & 0.410133642086171 \tabularnewline
0.5 & 101.388447624702 & 0.403592255211148 \tabularnewline
0.51 & 101.467855796221 & 0.399565793113948 \tabularnewline
0.52 & 101.546727053704 & 0.397675558299502 \tabularnewline
0.53 & 101.625607508495 & 0.39839379566554 \tabularnewline
0.54 & 101.7051305333 & 0.401976742711065 \tabularnewline
0.55 & 101.786097606491 & 0.409338691673994 \tabularnewline
0.56 & 101.869603651126 & 0.421701242934019 \tabularnewline
0.57 & 101.957208545363 & 0.442108036381389 \tabularnewline
0.58 & 102.051151291024 & 0.474322265048229 \tabularnewline
0.59 & 102.154595543885 & 0.523537689409864 \tabularnewline
0.6 & 102.271885068274 & 0.596467051713842 \tabularnewline
0.61 & 102.408776237267 & 0.700821238806313 \tabularnewline
0.62 & 102.572603896489 & 0.844222988154046 \tabularnewline
0.63 & 102.772329447399 & 1.0337883848861 \tabularnewline
0.64 & 103.018419034318 & 1.27549822359178 \tabularnewline
0.65 & 103.32250832274 & 1.57259990058272 \tabularnewline
0.66 & 103.696830879789 & 1.92504144319921 \tabularnewline
0.67 & 104.153420429271 & 2.32822252138795 \tabularnewline
0.68 & 104.70314169418 & 2.77300080867732 \tabularnewline
0.69 & 105.354655383812 & 3.24505988109578 \tabularnewline
0.7 & 106.113471478126 & 3.72599817208211 \tabularnewline
0.71 & 106.981278645686 & 4.19501681622103 \tabularnewline
0.72 & 107.955740754122 & 4.63148357806186 \tabularnewline
0.73 & 109.030908363897 & 5.0179544070651 \tabularnewline
0.74 & 110.198293846273 & 5.34369369487239 \tabularnewline
0.75 & 111.448506867626 & 5.60703732627986 \tabularnewline
0.76 & 112.7731673369 & 5.81646814458592 \tabularnewline
0.77 & 114.166654877547 & 5.98965575611833 \tabularnewline
0.78 & 115.627183570563 & 6.14886724886884 \tabularnewline
0.79 & 117.156768679627 & 6.31449166792907 \tabularnewline
0.8 & 118.759899959637 & 6.49717955718811 \tabularnewline
0.81 & 120.441106793908 & 6.69245427424196 \tabularnewline
0.82 & 122.201973743244 & 6.87988205030752 \tabularnewline
0.83 & 124.038387344643 & 7.02816237553279 \tabularnewline
0.84 & 125.938755219763 & 7.1032234108943 \tabularnewline
0.85 & 127.883643768801 & 7.07628084639312 \tabularnewline
0.86 & 129.846873312215 & 6.92970992290285 \tabularnewline
0.87 & 131.797794575755 & 6.65820501721991 \tabularnewline
0.88 & 133.704385780863 & 6.26811750871354 \tabularnewline
0.89 & 135.536932306907 & 5.77757860783972 \tabularnewline
0.9 & 137.272222413221 & 5.21602694431029 \tabularnewline
0.91 & 138.898241961703 & 4.62459022741685 \tabularnewline
0.92 & 140.419180619087 & 4.05465026622107 \tabularnewline
0.93 & 141.860113776136 & 3.56367276423448 \tabularnewline
0.94 & 143.270083728656 & 3.20741026955338 \tabularnewline
0.95 & 144.722324803124 & 3.02182654700174 \tabularnewline
0.96 & 146.312141676304 & 2.99159486000012 \tabularnewline
0.97 & 148.148808475218 & 3.04850969336622 \tabularnewline
0.98 & 150.296074429408 & 3.17807402376802 \tabularnewline
0.99 & 152.54320340799 & 3.51900187329893 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212957&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]90.5222899405127[/C][C]0.503348112915734[/C][/ROW]
[ROW][C]0.02[/C][C]90.8669675090593[/C][C]0.541007700404432[/C][/ROW]
[ROW][C]0.03[/C][C]91.2635097484368[/C][C]0.744350803690579[/C][/ROW]
[ROW][C]0.04[/C][C]91.7145518733177[/C][C]1.02114917572915[/C][/ROW]
[ROW][C]0.05[/C][C]92.2340357204757[/C][C]1.29405403975122[/C][/ROW]
[ROW][C]0.06[/C][C]92.8152179337096[/C][C]1.5113747025428[/C][/ROW]
[ROW][C]0.07[/C][C]93.4326248342899[/C][C]1.63821058105448[/C][/ROW]
[ROW][C]0.08[/C][C]94.0526983127786[/C][C]1.66021240554896[/C][/ROW]
[ROW][C]0.09[/C][C]94.643391501042[/C][C]1.58694068079697[/C][/ROW]
[ROW][C]0.1[/C][C]95.18106907246[/C][C]1.44875460547416[/C][/ROW]
[ROW][C]0.11[/C][C]95.6540144734568[/C][C]1.28575928966434[/C][/ROW]
[ROW][C]0.12[/C][C]96.0622016193839[/C][C]1.13537412388431[/C][/ROW]
[ROW][C]0.13[/C][C]96.4140707627754[/C][C]1.02095385490019[/C][/ROW]
[ROW][C]0.14[/C][C]96.7219723887376[/C][C]0.947359380704231[/C][/ROW]
[ROW][C]0.15[/C][C]96.9980520142228[/C][C]0.904675715525116[/C][/ROW]
[ROW][C]0.16[/C][C]97.2517074922065[/C][C]0.877602357288769[/C][/ROW]
[ROW][C]0.17[/C][C]97.4888413313008[/C][C]0.853839757712816[/C][/ROW]
[ROW][C]0.18[/C][C]97.7124298313779[/C][C]0.827178351419201[/C][/ROW]
[ROW][C]0.19[/C][C]97.9236602767095[/C][C]0.796797905833446[/C][/ROW]
[ROW][C]0.2[/C][C]98.1229992292022[/C][C]0.764747835174398[/C][/ROW]
[ROW][C]0.21[/C][C]98.310857344482[/C][C]0.73327269154528[/C][/ROW]
[ROW][C]0.22[/C][C]98.4878151429667[/C][C]0.703651412114975[/C][/ROW]
[ROW][C]0.23[/C][C]98.6545567258063[/C][C]0.67579812500646[/C][/ROW]
[ROW][C]0.24[/C][C]98.8117048741295[/C][C]0.648356956719335[/C][/ROW]
[ROW][C]0.25[/C][C]98.9597029975129[/C][C]0.620037346779984[/C][/ROW]
[ROW][C]0.26[/C][C]99.0988067149609[/C][C]0.59012805501831[/C][/ROW]
[ROW][C]0.27[/C][C]99.2291766461726[/C][C]0.558629518124057[/C][/ROW]
[ROW][C]0.28[/C][C]99.3510249879428[/C][C]0.52658497782589[/C][/ROW]
[ROW][C]0.29[/C][C]99.4647607676821[/C][C]0.495803967741015[/C][/ROW]
[ROW][C]0.3[/C][C]99.5710906747979[/C][C]0.467916012555463[/C][/ROW]
[ROW][C]0.31[/C][C]99.6710516922006[/C][C]0.445397519286962[/C][/ROW]
[ROW][C]0.32[/C][C]99.7659704373487[/C][C]0.42959319325085[/C][/ROW]
[ROW][C]0.33[/C][C]99.8573590556794[/C][C]0.421659033666662[/C][/ROW]
[ROW][C]0.34[/C][C]99.9467682620796[/C][C]0.421553095943174[/C][/ROW]
[ROW][C]0.35[/C][C]100.035624740944[/C][C]0.428023001283231[/C][/ROW]
[ROW][C]0.36[/C][C]100.12508214945[/C][C]0.439222590177092[/C][/ROW]
[ROW][C]0.37[/C][C]100.215911841747[/C][C]0.452617006674095[/C][/ROW]
[ROW][C]0.38[/C][C]100.308451310621[/C][C]0.465593080264297[/C][/ROW]
[ROW][C]0.39[/C][C]100.402616712628[/C][C]0.476337993493545[/C][/ROW]
[ROW][C]0.4[/C][C]100.497973335577[/C][C]0.483047611873948[/C][/ROW]
[ROW][C]0.41[/C][C]100.593847458622[/C][C]0.485163224764569[/C][/ROW]
[ROW][C]0.42[/C][C]100.689457066498[/C][C]0.4824239197716[/C][/ROW]
[ROW][C]0.43[/C][C]100.78403826752[/C][C]0.475605386235972[/C][/ROW]
[ROW][C]0.44[/C][C]100.876948464735[/C][C]0.465716683267675[/C][/ROW]
[ROW][C]0.45[/C][C]100.967734633716[/C][C]0.453813027092469[/C][/ROW]
[ROW][C]0.46[/C][C]101.056163306172[/C][C]0.441419656265593[/C][/ROW]
[ROW][C]0.47[/C][C]101.142216123375[/C][C]0.429402234792161[/C][/ROW]
[ROW][C]0.48[/C][C]101.226059898769[/C][C]0.418730293830785[/C][/ROW]
[ROW][C]0.49[/C][C]101.308002671251[/C][C]0.410133642086171[/C][/ROW]
[ROW][C]0.5[/C][C]101.388447624702[/C][C]0.403592255211148[/C][/ROW]
[ROW][C]0.51[/C][C]101.467855796221[/C][C]0.399565793113948[/C][/ROW]
[ROW][C]0.52[/C][C]101.546727053704[/C][C]0.397675558299502[/C][/ROW]
[ROW][C]0.53[/C][C]101.625607508495[/C][C]0.39839379566554[/C][/ROW]
[ROW][C]0.54[/C][C]101.7051305333[/C][C]0.401976742711065[/C][/ROW]
[ROW][C]0.55[/C][C]101.786097606491[/C][C]0.409338691673994[/C][/ROW]
[ROW][C]0.56[/C][C]101.869603651126[/C][C]0.421701242934019[/C][/ROW]
[ROW][C]0.57[/C][C]101.957208545363[/C][C]0.442108036381389[/C][/ROW]
[ROW][C]0.58[/C][C]102.051151291024[/C][C]0.474322265048229[/C][/ROW]
[ROW][C]0.59[/C][C]102.154595543885[/C][C]0.523537689409864[/C][/ROW]
[ROW][C]0.6[/C][C]102.271885068274[/C][C]0.596467051713842[/C][/ROW]
[ROW][C]0.61[/C][C]102.408776237267[/C][C]0.700821238806313[/C][/ROW]
[ROW][C]0.62[/C][C]102.572603896489[/C][C]0.844222988154046[/C][/ROW]
[ROW][C]0.63[/C][C]102.772329447399[/C][C]1.0337883848861[/C][/ROW]
[ROW][C]0.64[/C][C]103.018419034318[/C][C]1.27549822359178[/C][/ROW]
[ROW][C]0.65[/C][C]103.32250832274[/C][C]1.57259990058272[/C][/ROW]
[ROW][C]0.66[/C][C]103.696830879789[/C][C]1.92504144319921[/C][/ROW]
[ROW][C]0.67[/C][C]104.153420429271[/C][C]2.32822252138795[/C][/ROW]
[ROW][C]0.68[/C][C]104.70314169418[/C][C]2.77300080867732[/C][/ROW]
[ROW][C]0.69[/C][C]105.354655383812[/C][C]3.24505988109578[/C][/ROW]
[ROW][C]0.7[/C][C]106.113471478126[/C][C]3.72599817208211[/C][/ROW]
[ROW][C]0.71[/C][C]106.981278645686[/C][C]4.19501681622103[/C][/ROW]
[ROW][C]0.72[/C][C]107.955740754122[/C][C]4.63148357806186[/C][/ROW]
[ROW][C]0.73[/C][C]109.030908363897[/C][C]5.0179544070651[/C][/ROW]
[ROW][C]0.74[/C][C]110.198293846273[/C][C]5.34369369487239[/C][/ROW]
[ROW][C]0.75[/C][C]111.448506867626[/C][C]5.60703732627986[/C][/ROW]
[ROW][C]0.76[/C][C]112.7731673369[/C][C]5.81646814458592[/C][/ROW]
[ROW][C]0.77[/C][C]114.166654877547[/C][C]5.98965575611833[/C][/ROW]
[ROW][C]0.78[/C][C]115.627183570563[/C][C]6.14886724886884[/C][/ROW]
[ROW][C]0.79[/C][C]117.156768679627[/C][C]6.31449166792907[/C][/ROW]
[ROW][C]0.8[/C][C]118.759899959637[/C][C]6.49717955718811[/C][/ROW]
[ROW][C]0.81[/C][C]120.441106793908[/C][C]6.69245427424196[/C][/ROW]
[ROW][C]0.82[/C][C]122.201973743244[/C][C]6.87988205030752[/C][/ROW]
[ROW][C]0.83[/C][C]124.038387344643[/C][C]7.02816237553279[/C][/ROW]
[ROW][C]0.84[/C][C]125.938755219763[/C][C]7.1032234108943[/C][/ROW]
[ROW][C]0.85[/C][C]127.883643768801[/C][C]7.07628084639312[/C][/ROW]
[ROW][C]0.86[/C][C]129.846873312215[/C][C]6.92970992290285[/C][/ROW]
[ROW][C]0.87[/C][C]131.797794575755[/C][C]6.65820501721991[/C][/ROW]
[ROW][C]0.88[/C][C]133.704385780863[/C][C]6.26811750871354[/C][/ROW]
[ROW][C]0.89[/C][C]135.536932306907[/C][C]5.77757860783972[/C][/ROW]
[ROW][C]0.9[/C][C]137.272222413221[/C][C]5.21602694431029[/C][/ROW]
[ROW][C]0.91[/C][C]138.898241961703[/C][C]4.62459022741685[/C][/ROW]
[ROW][C]0.92[/C][C]140.419180619087[/C][C]4.05465026622107[/C][/ROW]
[ROW][C]0.93[/C][C]141.860113776136[/C][C]3.56367276423448[/C][/ROW]
[ROW][C]0.94[/C][C]143.270083728656[/C][C]3.20741026955338[/C][/ROW]
[ROW][C]0.95[/C][C]144.722324803124[/C][C]3.02182654700174[/C][/ROW]
[ROW][C]0.96[/C][C]146.312141676304[/C][C]2.99159486000012[/C][/ROW]
[ROW][C]0.97[/C][C]148.148808475218[/C][C]3.04850969336622[/C][/ROW]
[ROW][C]0.98[/C][C]150.296074429408[/C][C]3.17807402376802[/C][/ROW]
[ROW][C]0.99[/C][C]152.54320340799[/C][C]3.51900187329893[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212957&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212957&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
0.0190.52228994051270.503348112915734
0.0290.86696750905930.541007700404432
0.0391.26350974843680.744350803690579
0.0491.71455187331771.02114917572915
0.0592.23403572047571.29405403975122
0.0692.81521793370961.5113747025428
0.0793.43262483428991.63821058105448
0.0894.05269831277861.66021240554896
0.0994.6433915010421.58694068079697
0.195.181069072461.44875460547416
0.1195.65401447345681.28575928966434
0.1296.06220161938391.13537412388431
0.1396.41407076277541.02095385490019
0.1496.72197238873760.947359380704231
0.1596.99805201422280.904675715525116
0.1697.25170749220650.877602357288769
0.1797.48884133130080.853839757712816
0.1897.71242983137790.827178351419201
0.1997.92366027670950.796797905833446
0.298.12299922920220.764747835174398
0.2198.3108573444820.73327269154528
0.2298.48781514296670.703651412114975
0.2398.65455672580630.67579812500646
0.2498.81170487412950.648356956719335
0.2598.95970299751290.620037346779984
0.2699.09880671496090.59012805501831
0.2799.22917664617260.558629518124057
0.2899.35102498794280.52658497782589
0.2999.46476076768210.495803967741015
0.399.57109067479790.467916012555463
0.3199.67105169220060.445397519286962
0.3299.76597043734870.42959319325085
0.3399.85735905567940.421659033666662
0.3499.94676826207960.421553095943174
0.35100.0356247409440.428023001283231
0.36100.125082149450.439222590177092
0.37100.2159118417470.452617006674095
0.38100.3084513106210.465593080264297
0.39100.4026167126280.476337993493545
0.4100.4979733355770.483047611873948
0.41100.5938474586220.485163224764569
0.42100.6894570664980.4824239197716
0.43100.784038267520.475605386235972
0.44100.8769484647350.465716683267675
0.45100.9677346337160.453813027092469
0.46101.0561633061720.441419656265593
0.47101.1422161233750.429402234792161
0.48101.2260598987690.418730293830785
0.49101.3080026712510.410133642086171
0.5101.3884476247020.403592255211148
0.51101.4678557962210.399565793113948
0.52101.5467270537040.397675558299502
0.53101.6256075084950.39839379566554
0.54101.70513053330.401976742711065
0.55101.7860976064910.409338691673994
0.56101.8696036511260.421701242934019
0.57101.9572085453630.442108036381389
0.58102.0511512910240.474322265048229
0.59102.1545955438850.523537689409864
0.6102.2718850682740.596467051713842
0.61102.4087762372670.700821238806313
0.62102.5726038964890.844222988154046
0.63102.7723294473991.0337883848861
0.64103.0184190343181.27549822359178
0.65103.322508322741.57259990058272
0.66103.6968308797891.92504144319921
0.67104.1534204292712.32822252138795
0.68104.703141694182.77300080867732
0.69105.3546553838123.24505988109578
0.7106.1134714781263.72599817208211
0.71106.9812786456864.19501681622103
0.72107.9557407541224.63148357806186
0.73109.0309083638975.0179544070651
0.74110.1982938462735.34369369487239
0.75111.4485068676265.60703732627986
0.76112.77316733695.81646814458592
0.77114.1666548775475.98965575611833
0.78115.6271835705636.14886724886884
0.79117.1567686796276.31449166792907
0.8118.7598999596376.49717955718811
0.81120.4411067939086.69245427424196
0.82122.2019737432446.87988205030752
0.83124.0383873446437.02816237553279
0.84125.9387552197637.1032234108943
0.85127.8836437688017.07628084639312
0.86129.8468733122156.92970992290285
0.87131.7977945757556.65820501721991
0.88133.7043857808636.26811750871354
0.89135.5369323069075.77757860783972
0.9137.2722224132215.21602694431029
0.91138.8982419617034.62459022741685
0.92140.4191806190874.05465026622107
0.93141.8601137761363.56367276423448
0.94143.2700837286563.20741026955338
0.95144.7223248031243.02182654700174
0.96146.3121416763042.99159486000012
0.97148.1488084752183.04850969336622
0.98150.2960744294083.17807402376802
0.99152.543203407993.51900187329893


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')