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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, 27 Nov 2014 13:39:27 +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/2014/Nov/27/t1417095600xs9xjbcwgoebdit.htm/, Retrieved Sun, 19 May 2024 17:14:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=260193, Retrieved Sun, 19 May 2024 17:14:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

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] [] [2014-09-17 21:00:39] [d070f624b5ef19e5cef5f62d76e90bf1]
- R P   [Univariate Data Series] [] [2014-09-17 21:22:55] [d070f624b5ef19e5cef5f62d76e90bf1]
- RMP     [Harrell-Davis Quantiles] [] [2014-10-02 20:10:16] [61d57ff81c2c010ee1f9e06759cacc74]
- R P         [Harrell-Davis Quantiles] [] [2014-11-27 13:39:27] [959220cfe8d8b51f3b8cc01ba011fecd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
123
146
156
127
128
147
128
139
130
118
147
98
141
138
130
145
123
116
90
110
102
109
111
93
120
81
84
87
110
90
108
101
87
118
82
86
103
93
83
91
69
95
96
105
121
101
111
130
134
161
186
244
145
170
164
124
154
126
173
140
142
129
171
107
98
185
142
135
126
126
134
119
134
133
129
96
150
113
99
164
127
148
166
115
199
141
149
131
171
178
181
129
112
186
153
116
190
169
165
160
202
155
257
171
168
202
189
132

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=260193&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]1 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=260193&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=260193&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0174.10771299984937.53394274417647
0.0279.31216351449153.57903426144892
0.0382.27792544738062.2710343973272
0.0484.00784249548692.28165284311106
0.0585.38186563971142.4845491397305
0.0686.67818950238792.6563604694219
0.0787.94435952346642.80100076882114
0.0889.18481582274042.92801906607768
0.0990.40060592512253.03368344617277
0.191.59157283114933.11566807746773
0.1192.75648949588553.17709083462144
0.1293.89491977279833.2266188332578
0.1395.00910531550833.27769277129521
0.1496.10491931240423.34635175153707
0.1597.19160721403233.44607882159776
0.1698.28030597102653.58207612161745
0.1799.38165800961593.7486719297485
0.18100.5031626977043.9296443200101
0.19101.6470410936924.10124581273007
0.2102.8092851703134.23808567389585
0.21103.9802669529544.31991978152635
0.22105.1468521791384.33765508248305
0.23106.2954916791944.29708411960542
0.24107.4154134737464.21692101599692
0.25108.5009762567234.12440757245017
0.26109.5525297093494.04694469324317
0.27110.5756515433034.00426330424852
0.28111.5791695384754.00388181491345
0.29112.5727065626394.04156345779261
0.3113.5645004698724.10427888514408
0.31114.5599952001184.17678714416473
0.32115.5613287344734.24456939469391
0.33116.5675301532994.29687203294311
0.34117.57509140984.32547981774531
0.35118.5786117053174.32472905731417
0.36119.5713558363764.28994379282597
0.37120.545724476654.21777947917093
0.38121.4937267636084.10642129953598
0.39122.4075466582783.95704556580526
0.4123.2802269811173.77469236499852
0.41124.1064084862383.56801324644078
0.42124.8830032082383.34902933539022
0.43125.6096755555043.13154995448472
0.44126.2890463746162.93032284979866
0.45126.9265998213992.75848987858782
0.46127.5303317374232.62736706878866
0.47128.110212477882.54569975682997
0.48128.6775432558072.51825050603932
0.49129.2442717381982.54676749162374
0.5129.8223126492942.62956171170758
0.51130.4229020543412.76107426478729
0.52131.056003392082.93330197665328
0.53131.7297788926363.13671523513847
0.54132.4501412801223.35939276697333
0.55133.2204083921673.58847237749667
0.56134.0410972615293.81102630050301
0.57134.9099091454064.01364120711438
0.58135.8219620345314.18500288367095
0.59136.7703103758564.31692339156457
0.6137.7467486702344.40489730552779
0.61138.7428357072074.45043063946104
0.62139.7510209340894.46004556473903
0.63140.7657263384434.44590471679857
0.64141.7842459772014.42186166181286
0.65142.8073609262844.40495615980757
0.66143.839606430324.41173946810068
0.67144.8891497006584.45748568402
0.68145.9672387706314.55416403291567
0.69147.0871842169064.7082240352952
0.7148.2628648071124.91832478206085
0.71149.5068232943535.17394017127553
0.72150.8281335258885.45510876906178
0.73152.2303443894455.73353430395813
0.74153.7098962940735.97696604172649
0.75155.2554187963886.15277387855284
0.76156.8482235800856.2339190799841
0.77158.4641036306026.20329813532732
0.78160.0762837542646.05791914235009
0.79161.6591421676675.81083503942677
0.8163.1922584902995.48929263969305
0.81164.6644795691035.13323953030627
0.82166.077876792454.79306783875303
0.83167.4513469646464.52772778082045
0.84168.8228700662374.4041424563215
0.85170.2482436322854.48376578168426
0.86171.7934521014314.79090838257467
0.87173.5192777179355.27523687326485
0.88175.4613390953285.80746240102719
0.89177.6152166697376.21856962961205
0.9179.9402160134446.37943411414421
0.91182.3904550672466.28982203573427
0.92184.9659882971446.12667780704975
0.93187.7610106982326.18171199918995
0.94191.0050426601536.66921507073566
0.95195.1791057493737.7386454168451
0.96201.33920341161910.2657015915892
0.97211.37511266783715.9667674321138
0.98226.85092311916122.6641153913792
0.99245.17124238065721.1656707022518

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 74.1077129998493 & 7.53394274417647 \tabularnewline
0.02 & 79.3121635144915 & 3.57903426144892 \tabularnewline
0.03 & 82.2779254473806 & 2.2710343973272 \tabularnewline
0.04 & 84.0078424954869 & 2.28165284311106 \tabularnewline
0.05 & 85.3818656397114 & 2.4845491397305 \tabularnewline
0.06 & 86.6781895023879 & 2.6563604694219 \tabularnewline
0.07 & 87.9443595234664 & 2.80100076882114 \tabularnewline
0.08 & 89.1848158227404 & 2.92801906607768 \tabularnewline
0.09 & 90.4006059251225 & 3.03368344617277 \tabularnewline
0.1 & 91.5915728311493 & 3.11566807746773 \tabularnewline
0.11 & 92.7564894958855 & 3.17709083462144 \tabularnewline
0.12 & 93.8949197727983 & 3.2266188332578 \tabularnewline
0.13 & 95.0091053155083 & 3.27769277129521 \tabularnewline
0.14 & 96.1049193124042 & 3.34635175153707 \tabularnewline
0.15 & 97.1916072140323 & 3.44607882159776 \tabularnewline
0.16 & 98.2803059710265 & 3.58207612161745 \tabularnewline
0.17 & 99.3816580096159 & 3.7486719297485 \tabularnewline
0.18 & 100.503162697704 & 3.9296443200101 \tabularnewline
0.19 & 101.647041093692 & 4.10124581273007 \tabularnewline
0.2 & 102.809285170313 & 4.23808567389585 \tabularnewline
0.21 & 103.980266952954 & 4.31991978152635 \tabularnewline
0.22 & 105.146852179138 & 4.33765508248305 \tabularnewline
0.23 & 106.295491679194 & 4.29708411960542 \tabularnewline
0.24 & 107.415413473746 & 4.21692101599692 \tabularnewline
0.25 & 108.500976256723 & 4.12440757245017 \tabularnewline
0.26 & 109.552529709349 & 4.04694469324317 \tabularnewline
0.27 & 110.575651543303 & 4.00426330424852 \tabularnewline
0.28 & 111.579169538475 & 4.00388181491345 \tabularnewline
0.29 & 112.572706562639 & 4.04156345779261 \tabularnewline
0.3 & 113.564500469872 & 4.10427888514408 \tabularnewline
0.31 & 114.559995200118 & 4.17678714416473 \tabularnewline
0.32 & 115.561328734473 & 4.24456939469391 \tabularnewline
0.33 & 116.567530153299 & 4.29687203294311 \tabularnewline
0.34 & 117.5750914098 & 4.32547981774531 \tabularnewline
0.35 & 118.578611705317 & 4.32472905731417 \tabularnewline
0.36 & 119.571355836376 & 4.28994379282597 \tabularnewline
0.37 & 120.54572447665 & 4.21777947917093 \tabularnewline
0.38 & 121.493726763608 & 4.10642129953598 \tabularnewline
0.39 & 122.407546658278 & 3.95704556580526 \tabularnewline
0.4 & 123.280226981117 & 3.77469236499852 \tabularnewline
0.41 & 124.106408486238 & 3.56801324644078 \tabularnewline
0.42 & 124.883003208238 & 3.34902933539022 \tabularnewline
0.43 & 125.609675555504 & 3.13154995448472 \tabularnewline
0.44 & 126.289046374616 & 2.93032284979866 \tabularnewline
0.45 & 126.926599821399 & 2.75848987858782 \tabularnewline
0.46 & 127.530331737423 & 2.62736706878866 \tabularnewline
0.47 & 128.11021247788 & 2.54569975682997 \tabularnewline
0.48 & 128.677543255807 & 2.51825050603932 \tabularnewline
0.49 & 129.244271738198 & 2.54676749162374 \tabularnewline
0.5 & 129.822312649294 & 2.62956171170758 \tabularnewline
0.51 & 130.422902054341 & 2.76107426478729 \tabularnewline
0.52 & 131.05600339208 & 2.93330197665328 \tabularnewline
0.53 & 131.729778892636 & 3.13671523513847 \tabularnewline
0.54 & 132.450141280122 & 3.35939276697333 \tabularnewline
0.55 & 133.220408392167 & 3.58847237749667 \tabularnewline
0.56 & 134.041097261529 & 3.81102630050301 \tabularnewline
0.57 & 134.909909145406 & 4.01364120711438 \tabularnewline
0.58 & 135.821962034531 & 4.18500288367095 \tabularnewline
0.59 & 136.770310375856 & 4.31692339156457 \tabularnewline
0.6 & 137.746748670234 & 4.40489730552779 \tabularnewline
0.61 & 138.742835707207 & 4.45043063946104 \tabularnewline
0.62 & 139.751020934089 & 4.46004556473903 \tabularnewline
0.63 & 140.765726338443 & 4.44590471679857 \tabularnewline
0.64 & 141.784245977201 & 4.42186166181286 \tabularnewline
0.65 & 142.807360926284 & 4.40495615980757 \tabularnewline
0.66 & 143.83960643032 & 4.41173946810068 \tabularnewline
0.67 & 144.889149700658 & 4.45748568402 \tabularnewline
0.68 & 145.967238770631 & 4.55416403291567 \tabularnewline
0.69 & 147.087184216906 & 4.7082240352952 \tabularnewline
0.7 & 148.262864807112 & 4.91832478206085 \tabularnewline
0.71 & 149.506823294353 & 5.17394017127553 \tabularnewline
0.72 & 150.828133525888 & 5.45510876906178 \tabularnewline
0.73 & 152.230344389445 & 5.73353430395813 \tabularnewline
0.74 & 153.709896294073 & 5.97696604172649 \tabularnewline
0.75 & 155.255418796388 & 6.15277387855284 \tabularnewline
0.76 & 156.848223580085 & 6.2339190799841 \tabularnewline
0.77 & 158.464103630602 & 6.20329813532732 \tabularnewline
0.78 & 160.076283754264 & 6.05791914235009 \tabularnewline
0.79 & 161.659142167667 & 5.81083503942677 \tabularnewline
0.8 & 163.192258490299 & 5.48929263969305 \tabularnewline
0.81 & 164.664479569103 & 5.13323953030627 \tabularnewline
0.82 & 166.07787679245 & 4.79306783875303 \tabularnewline
0.83 & 167.451346964646 & 4.52772778082045 \tabularnewline
0.84 & 168.822870066237 & 4.4041424563215 \tabularnewline
0.85 & 170.248243632285 & 4.48376578168426 \tabularnewline
0.86 & 171.793452101431 & 4.79090838257467 \tabularnewline
0.87 & 173.519277717935 & 5.27523687326485 \tabularnewline
0.88 & 175.461339095328 & 5.80746240102719 \tabularnewline
0.89 & 177.615216669737 & 6.21856962961205 \tabularnewline
0.9 & 179.940216013444 & 6.37943411414421 \tabularnewline
0.91 & 182.390455067246 & 6.28982203573427 \tabularnewline
0.92 & 184.965988297144 & 6.12667780704975 \tabularnewline
0.93 & 187.761010698232 & 6.18171199918995 \tabularnewline
0.94 & 191.005042660153 & 6.66921507073566 \tabularnewline
0.95 & 195.179105749373 & 7.7386454168451 \tabularnewline
0.96 & 201.339203411619 & 10.2657015915892 \tabularnewline
0.97 & 211.375112667837 & 15.9667674321138 \tabularnewline
0.98 & 226.850923119161 & 22.6641153913792 \tabularnewline
0.99 & 245.171242380657 & 21.1656707022518 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=260193&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]74.1077129998493[/C][C]7.53394274417647[/C][/ROW]
[ROW][C]0.02[/C][C]79.3121635144915[/C][C]3.57903426144892[/C][/ROW]
[ROW][C]0.03[/C][C]82.2779254473806[/C][C]2.2710343973272[/C][/ROW]
[ROW][C]0.04[/C][C]84.0078424954869[/C][C]2.28165284311106[/C][/ROW]
[ROW][C]0.05[/C][C]85.3818656397114[/C][C]2.4845491397305[/C][/ROW]
[ROW][C]0.06[/C][C]86.6781895023879[/C][C]2.6563604694219[/C][/ROW]
[ROW][C]0.07[/C][C]87.9443595234664[/C][C]2.80100076882114[/C][/ROW]
[ROW][C]0.08[/C][C]89.1848158227404[/C][C]2.92801906607768[/C][/ROW]
[ROW][C]0.09[/C][C]90.4006059251225[/C][C]3.03368344617277[/C][/ROW]
[ROW][C]0.1[/C][C]91.5915728311493[/C][C]3.11566807746773[/C][/ROW]
[ROW][C]0.11[/C][C]92.7564894958855[/C][C]3.17709083462144[/C][/ROW]
[ROW][C]0.12[/C][C]93.8949197727983[/C][C]3.2266188332578[/C][/ROW]
[ROW][C]0.13[/C][C]95.0091053155083[/C][C]3.27769277129521[/C][/ROW]
[ROW][C]0.14[/C][C]96.1049193124042[/C][C]3.34635175153707[/C][/ROW]
[ROW][C]0.15[/C][C]97.1916072140323[/C][C]3.44607882159776[/C][/ROW]
[ROW][C]0.16[/C][C]98.2803059710265[/C][C]3.58207612161745[/C][/ROW]
[ROW][C]0.17[/C][C]99.3816580096159[/C][C]3.7486719297485[/C][/ROW]
[ROW][C]0.18[/C][C]100.503162697704[/C][C]3.9296443200101[/C][/ROW]
[ROW][C]0.19[/C][C]101.647041093692[/C][C]4.10124581273007[/C][/ROW]
[ROW][C]0.2[/C][C]102.809285170313[/C][C]4.23808567389585[/C][/ROW]
[ROW][C]0.21[/C][C]103.980266952954[/C][C]4.31991978152635[/C][/ROW]
[ROW][C]0.22[/C][C]105.146852179138[/C][C]4.33765508248305[/C][/ROW]
[ROW][C]0.23[/C][C]106.295491679194[/C][C]4.29708411960542[/C][/ROW]
[ROW][C]0.24[/C][C]107.415413473746[/C][C]4.21692101599692[/C][/ROW]
[ROW][C]0.25[/C][C]108.500976256723[/C][C]4.12440757245017[/C][/ROW]
[ROW][C]0.26[/C][C]109.552529709349[/C][C]4.04694469324317[/C][/ROW]
[ROW][C]0.27[/C][C]110.575651543303[/C][C]4.00426330424852[/C][/ROW]
[ROW][C]0.28[/C][C]111.579169538475[/C][C]4.00388181491345[/C][/ROW]
[ROW][C]0.29[/C][C]112.572706562639[/C][C]4.04156345779261[/C][/ROW]
[ROW][C]0.3[/C][C]113.564500469872[/C][C]4.10427888514408[/C][/ROW]
[ROW][C]0.31[/C][C]114.559995200118[/C][C]4.17678714416473[/C][/ROW]
[ROW][C]0.32[/C][C]115.561328734473[/C][C]4.24456939469391[/C][/ROW]
[ROW][C]0.33[/C][C]116.567530153299[/C][C]4.29687203294311[/C][/ROW]
[ROW][C]0.34[/C][C]117.5750914098[/C][C]4.32547981774531[/C][/ROW]
[ROW][C]0.35[/C][C]118.578611705317[/C][C]4.32472905731417[/C][/ROW]
[ROW][C]0.36[/C][C]119.571355836376[/C][C]4.28994379282597[/C][/ROW]
[ROW][C]0.37[/C][C]120.54572447665[/C][C]4.21777947917093[/C][/ROW]
[ROW][C]0.38[/C][C]121.493726763608[/C][C]4.10642129953598[/C][/ROW]
[ROW][C]0.39[/C][C]122.407546658278[/C][C]3.95704556580526[/C][/ROW]
[ROW][C]0.4[/C][C]123.280226981117[/C][C]3.77469236499852[/C][/ROW]
[ROW][C]0.41[/C][C]124.106408486238[/C][C]3.56801324644078[/C][/ROW]
[ROW][C]0.42[/C][C]124.883003208238[/C][C]3.34902933539022[/C][/ROW]
[ROW][C]0.43[/C][C]125.609675555504[/C][C]3.13154995448472[/C][/ROW]
[ROW][C]0.44[/C][C]126.289046374616[/C][C]2.93032284979866[/C][/ROW]
[ROW][C]0.45[/C][C]126.926599821399[/C][C]2.75848987858782[/C][/ROW]
[ROW][C]0.46[/C][C]127.530331737423[/C][C]2.62736706878866[/C][/ROW]
[ROW][C]0.47[/C][C]128.11021247788[/C][C]2.54569975682997[/C][/ROW]
[ROW][C]0.48[/C][C]128.677543255807[/C][C]2.51825050603932[/C][/ROW]
[ROW][C]0.49[/C][C]129.244271738198[/C][C]2.54676749162374[/C][/ROW]
[ROW][C]0.5[/C][C]129.822312649294[/C][C]2.62956171170758[/C][/ROW]
[ROW][C]0.51[/C][C]130.422902054341[/C][C]2.76107426478729[/C][/ROW]
[ROW][C]0.52[/C][C]131.05600339208[/C][C]2.93330197665328[/C][/ROW]
[ROW][C]0.53[/C][C]131.729778892636[/C][C]3.13671523513847[/C][/ROW]
[ROW][C]0.54[/C][C]132.450141280122[/C][C]3.35939276697333[/C][/ROW]
[ROW][C]0.55[/C][C]133.220408392167[/C][C]3.58847237749667[/C][/ROW]
[ROW][C]0.56[/C][C]134.041097261529[/C][C]3.81102630050301[/C][/ROW]
[ROW][C]0.57[/C][C]134.909909145406[/C][C]4.01364120711438[/C][/ROW]
[ROW][C]0.58[/C][C]135.821962034531[/C][C]4.18500288367095[/C][/ROW]
[ROW][C]0.59[/C][C]136.770310375856[/C][C]4.31692339156457[/C][/ROW]
[ROW][C]0.6[/C][C]137.746748670234[/C][C]4.40489730552779[/C][/ROW]
[ROW][C]0.61[/C][C]138.742835707207[/C][C]4.45043063946104[/C][/ROW]
[ROW][C]0.62[/C][C]139.751020934089[/C][C]4.46004556473903[/C][/ROW]
[ROW][C]0.63[/C][C]140.765726338443[/C][C]4.44590471679857[/C][/ROW]
[ROW][C]0.64[/C][C]141.784245977201[/C][C]4.42186166181286[/C][/ROW]
[ROW][C]0.65[/C][C]142.807360926284[/C][C]4.40495615980757[/C][/ROW]
[ROW][C]0.66[/C][C]143.83960643032[/C][C]4.41173946810068[/C][/ROW]
[ROW][C]0.67[/C][C]144.889149700658[/C][C]4.45748568402[/C][/ROW]
[ROW][C]0.68[/C][C]145.967238770631[/C][C]4.55416403291567[/C][/ROW]
[ROW][C]0.69[/C][C]147.087184216906[/C][C]4.7082240352952[/C][/ROW]
[ROW][C]0.7[/C][C]148.262864807112[/C][C]4.91832478206085[/C][/ROW]
[ROW][C]0.71[/C][C]149.506823294353[/C][C]5.17394017127553[/C][/ROW]
[ROW][C]0.72[/C][C]150.828133525888[/C][C]5.45510876906178[/C][/ROW]
[ROW][C]0.73[/C][C]152.230344389445[/C][C]5.73353430395813[/C][/ROW]
[ROW][C]0.74[/C][C]153.709896294073[/C][C]5.97696604172649[/C][/ROW]
[ROW][C]0.75[/C][C]155.255418796388[/C][C]6.15277387855284[/C][/ROW]
[ROW][C]0.76[/C][C]156.848223580085[/C][C]6.2339190799841[/C][/ROW]
[ROW][C]0.77[/C][C]158.464103630602[/C][C]6.20329813532732[/C][/ROW]
[ROW][C]0.78[/C][C]160.076283754264[/C][C]6.05791914235009[/C][/ROW]
[ROW][C]0.79[/C][C]161.659142167667[/C][C]5.81083503942677[/C][/ROW]
[ROW][C]0.8[/C][C]163.192258490299[/C][C]5.48929263969305[/C][/ROW]
[ROW][C]0.81[/C][C]164.664479569103[/C][C]5.13323953030627[/C][/ROW]
[ROW][C]0.82[/C][C]166.07787679245[/C][C]4.79306783875303[/C][/ROW]
[ROW][C]0.83[/C][C]167.451346964646[/C][C]4.52772778082045[/C][/ROW]
[ROW][C]0.84[/C][C]168.822870066237[/C][C]4.4041424563215[/C][/ROW]
[ROW][C]0.85[/C][C]170.248243632285[/C][C]4.48376578168426[/C][/ROW]
[ROW][C]0.86[/C][C]171.793452101431[/C][C]4.79090838257467[/C][/ROW]
[ROW][C]0.87[/C][C]173.519277717935[/C][C]5.27523687326485[/C][/ROW]
[ROW][C]0.88[/C][C]175.461339095328[/C][C]5.80746240102719[/C][/ROW]
[ROW][C]0.89[/C][C]177.615216669737[/C][C]6.21856962961205[/C][/ROW]
[ROW][C]0.9[/C][C]179.940216013444[/C][C]6.37943411414421[/C][/ROW]
[ROW][C]0.91[/C][C]182.390455067246[/C][C]6.28982203573427[/C][/ROW]
[ROW][C]0.92[/C][C]184.965988297144[/C][C]6.12667780704975[/C][/ROW]
[ROW][C]0.93[/C][C]187.761010698232[/C][C]6.18171199918995[/C][/ROW]
[ROW][C]0.94[/C][C]191.005042660153[/C][C]6.66921507073566[/C][/ROW]
[ROW][C]0.95[/C][C]195.179105749373[/C][C]7.7386454168451[/C][/ROW]
[ROW][C]0.96[/C][C]201.339203411619[/C][C]10.2657015915892[/C][/ROW]
[ROW][C]0.97[/C][C]211.375112667837[/C][C]15.9667674321138[/C][/ROW]
[ROW][C]0.98[/C][C]226.850923119161[/C][C]22.6641153913792[/C][/ROW]
[ROW][C]0.99[/C][C]245.171242380657[/C][C]21.1656707022518[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=260193&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=260193&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
0.0174.10771299984937.53394274417647
0.0279.31216351449153.57903426144892
0.0382.27792544738062.2710343973272
0.0484.00784249548692.28165284311106
0.0585.38186563971142.4845491397305
0.0686.67818950238792.6563604694219
0.0787.94435952346642.80100076882114
0.0889.18481582274042.92801906607768
0.0990.40060592512253.03368344617277
0.191.59157283114933.11566807746773
0.1192.75648949588553.17709083462144
0.1293.89491977279833.2266188332578
0.1395.00910531550833.27769277129521
0.1496.10491931240423.34635175153707
0.1597.19160721403233.44607882159776
0.1698.28030597102653.58207612161745
0.1799.38165800961593.7486719297485
0.18100.5031626977043.9296443200101
0.19101.6470410936924.10124581273007
0.2102.8092851703134.23808567389585
0.21103.9802669529544.31991978152635
0.22105.1468521791384.33765508248305
0.23106.2954916791944.29708411960542
0.24107.4154134737464.21692101599692
0.25108.5009762567234.12440757245017
0.26109.5525297093494.04694469324317
0.27110.5756515433034.00426330424852
0.28111.5791695384754.00388181491345
0.29112.5727065626394.04156345779261
0.3113.5645004698724.10427888514408
0.31114.5599952001184.17678714416473
0.32115.5613287344734.24456939469391
0.33116.5675301532994.29687203294311
0.34117.57509140984.32547981774531
0.35118.5786117053174.32472905731417
0.36119.5713558363764.28994379282597
0.37120.545724476654.21777947917093
0.38121.4937267636084.10642129953598
0.39122.4075466582783.95704556580526
0.4123.2802269811173.77469236499852
0.41124.1064084862383.56801324644078
0.42124.8830032082383.34902933539022
0.43125.6096755555043.13154995448472
0.44126.2890463746162.93032284979866
0.45126.9265998213992.75848987858782
0.46127.5303317374232.62736706878866
0.47128.110212477882.54569975682997
0.48128.6775432558072.51825050603932
0.49129.2442717381982.54676749162374
0.5129.8223126492942.62956171170758
0.51130.4229020543412.76107426478729
0.52131.056003392082.93330197665328
0.53131.7297788926363.13671523513847
0.54132.4501412801223.35939276697333
0.55133.2204083921673.58847237749667
0.56134.0410972615293.81102630050301
0.57134.9099091454064.01364120711438
0.58135.8219620345314.18500288367095
0.59136.7703103758564.31692339156457
0.6137.7467486702344.40489730552779
0.61138.7428357072074.45043063946104
0.62139.7510209340894.46004556473903
0.63140.7657263384434.44590471679857
0.64141.7842459772014.42186166181286
0.65142.8073609262844.40495615980757
0.66143.839606430324.41173946810068
0.67144.8891497006584.45748568402
0.68145.9672387706314.55416403291567
0.69147.0871842169064.7082240352952
0.7148.2628648071124.91832478206085
0.71149.5068232943535.17394017127553
0.72150.8281335258885.45510876906178
0.73152.2303443894455.73353430395813
0.74153.7098962940735.97696604172649
0.75155.2554187963886.15277387855284
0.76156.8482235800856.2339190799841
0.77158.4641036306026.20329813532732
0.78160.0762837542646.05791914235009
0.79161.6591421676675.81083503942677
0.8163.1922584902995.48929263969305
0.81164.6644795691035.13323953030627
0.82166.077876792454.79306783875303
0.83167.4513469646464.52772778082045
0.84168.8228700662374.4041424563215
0.85170.2482436322854.48376578168426
0.86171.7934521014314.79090838257467
0.87173.5192777179355.27523687326485
0.88175.4613390953285.80746240102719
0.89177.6152166697376.21856962961205
0.9179.9402160134446.37943411414421
0.91182.3904550672466.28982203573427
0.92184.9659882971446.12667780704975
0.93187.7610106982326.18171199918995
0.94191.0050426601536.66921507073566
0.95195.1791057493737.7386454168451
0.96201.33920341161910.2657015915892
0.97211.37511266783715.9667674321138
0.98226.85092311916122.6641153913792
0.99245.17124238065721.1656707022518


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')