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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, 05 Aug 2010 19:18:39 +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/2010/Aug/05/t1281035947eizynvld9pxxjn2.htm/, Retrieved Sun, 05 May 2024 17:12:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78438, Retrieved Sun, 05 May 2024 17:12:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJacobs Jeff
Estimated Impact132

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] [Tijdreeks A - Sta...] [2010-08-05 19:18:39] [03859715711bd3369851d387eaa83ba4] [Current]
-   P     [Harrell-Davis Quantiles] [Tijdreeks A - Sta...] [2010-08-13 13:40:12] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
130
129
128
126
146
145
130
120
121
121
122
124
123
125
120
124
146
149
138
133
135
149
146
141
139
141
138
139
166
179
167
154
151
162
148
143
145
143
148
139
169
186
174
161
151
158
144
135
139
137
149
136
169
185
177
164
145
147
142
126
130
136
139
120
151
166
156
150
141
141
130
110
110
123
133
108
136
148
146
142
132
128
116
90
94
112
130
106
124
139
140
129
113
110
102
78
79
94
121
99
126
137
141
119
96
96
88
64
66
92
120
101
135
146
149
134
101
100
91
70

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78438&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78438&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78438&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0166.32368633575064.03063118548329
0.0270.84997468447446.62590373519283
0.0376.1772901754167.62113533071543
0.0481.22040936311137.30533131064769
0.0585.43628111384386.27546571743239
0.0688.71595274786825.07960235343809
0.0791.21078726972234.18612707074861
0.0893.17881381304873.76970878031352
0.0994.86431080782793.7305286151231
0.196.43818923040223.90100450219656
0.1197.9966596558054.16914594670739
0.1299.58538955341974.4801190862151
0.13101.2218059452794.80132242803283
0.14102.9070749440875.09856758919316
0.15104.6310245339175.33698143879697
0.16106.3753100642665.4934323547377
0.17108.1171190215975.56315938332919
0.18109.8325450564535.55062910753514
0.19111.4981302492455.45643241286875
0.2113.0906850662605.2726390441978
0.21114.5871618766704.99048541725024
0.22115.9663325566244.61511082962984
0.23117.2124108940484.17310189351656
0.24118.3190289681453.70981994661711
0.25119.2914537468943.27714241805122
0.26120.1458229500162.91850642553834
0.27120.9056925066582.65828297581299
0.28121.5973174137902.49830520757667
0.29122.2453118478222.42287989282724
0.3122.8697800829722.40885068274619
0.31123.4851745216022.43278488093890
0.32124.1004957940492.47608383927811
0.33124.7202160591702.52482836694438
0.34125.3454197574862.56847090813266
0.35125.9749125029982.60066462392849
0.36126.6062543600972.61811880189633
0.37127.2367356952572.62144519746975
0.38127.8642526939032.61597299803464
0.39128.4879444935252.60864723476452
0.4129.1084181189472.60753935533171
0.41129.7274578034652.61783298833086
0.42130.3472722326092.63956533194887
0.43130.9695053390932.66692864579653
0.44131.5943388935892.69003881533708
0.45132.2199937902362.69820955766359
0.46132.8427946651492.68301643978642
0.47133.4577585405632.64002882536164
0.48134.0594891835012.5710841084861
0.49134.6430775364902.48091068655336
0.5135.2047507118642.37679467611089
0.51135.7421474558382.26600854723287
0.52136.2542584566632.1542641314169
0.53136.7411836076672.04481160393168
0.54137.2038833630461.94035693487235
0.55137.6440418919461.84325467504779
0.56138.0640591430621.75650527467753
0.57138.4671038079851.68415349597590
0.58138.857129155431.62976362865497
0.59139.2387824531431.59655320179161
0.6139.6171960975221.58605540683877
0.61139.9976925163741.59786270804237
0.62140.3854394293811.6299101246022
0.63140.7850643938681.67936389794611
0.64141.2002127742111.74173091867224
0.65141.6330487934221.80943838637067
0.66142.0837655020411.87370563419985
0.67142.5502556920481.92369943267308
0.68143.0281429102291.94950570935361
0.69143.5113259142551.94476761806243
0.7143.9930386888811.90898201264573
0.71144.4672182203051.84745333605300
0.72144.9297971239821.77149386239388
0.73145.3794984041301.69494536236009
0.74145.8178611424851.63038679027329
0.75146.2485406690281.58468475432009
0.76146.6762871293661.55846243304329
0.77147.1062461143771.54914669614416
0.78147.5442061621221.55514763674080
0.79147.9981057745011.58336744134791
0.8148.480599288491.65180013613762
0.81149.0119334278151.78984828837007
0.82149.6219559101172.03024796271546
0.83150.3498592710232.39835719902315
0.84151.2403612457392.89661720257743
0.85152.3356434209493.4954191766957
0.86153.6637457890294.1264317691778
0.87155.2261726550974.68983729062515
0.88156.9894832344995.07540062856618
0.89158.8863919149655.19734873660222
0.9160.8304238060005.0300279210556
0.91162.7444525794784.63424105597287
0.92164.5980339328414.16220046942752
0.93166.4411670544373.83523657987385
0.94168.4134262499703.85892710116051
0.95170.7072459397724.24272911564102
0.96173.4943385245774.71360834516646
0.97176.8580766284374.9743556631597
0.98180.6655066404414.81640335115613
0.99184.1802073557693.33071495183284

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 66.3236863357506 & 4.03063118548329 \tabularnewline
0.02 & 70.8499746844744 & 6.62590373519283 \tabularnewline
0.03 & 76.177290175416 & 7.62113533071543 \tabularnewline
0.04 & 81.2204093631113 & 7.30533131064769 \tabularnewline
0.05 & 85.4362811138438 & 6.27546571743239 \tabularnewline
0.06 & 88.7159527478682 & 5.07960235343809 \tabularnewline
0.07 & 91.2107872697223 & 4.18612707074861 \tabularnewline
0.08 & 93.1788138130487 & 3.76970878031352 \tabularnewline
0.09 & 94.8643108078279 & 3.7305286151231 \tabularnewline
0.1 & 96.4381892304022 & 3.90100450219656 \tabularnewline
0.11 & 97.996659655805 & 4.16914594670739 \tabularnewline
0.12 & 99.5853895534197 & 4.4801190862151 \tabularnewline
0.13 & 101.221805945279 & 4.80132242803283 \tabularnewline
0.14 & 102.907074944087 & 5.09856758919316 \tabularnewline
0.15 & 104.631024533917 & 5.33698143879697 \tabularnewline
0.16 & 106.375310064266 & 5.4934323547377 \tabularnewline
0.17 & 108.117119021597 & 5.56315938332919 \tabularnewline
0.18 & 109.832545056453 & 5.55062910753514 \tabularnewline
0.19 & 111.498130249245 & 5.45643241286875 \tabularnewline
0.2 & 113.090685066260 & 5.2726390441978 \tabularnewline
0.21 & 114.587161876670 & 4.99048541725024 \tabularnewline
0.22 & 115.966332556624 & 4.61511082962984 \tabularnewline
0.23 & 117.212410894048 & 4.17310189351656 \tabularnewline
0.24 & 118.319028968145 & 3.70981994661711 \tabularnewline
0.25 & 119.291453746894 & 3.27714241805122 \tabularnewline
0.26 & 120.145822950016 & 2.91850642553834 \tabularnewline
0.27 & 120.905692506658 & 2.65828297581299 \tabularnewline
0.28 & 121.597317413790 & 2.49830520757667 \tabularnewline
0.29 & 122.245311847822 & 2.42287989282724 \tabularnewline
0.3 & 122.869780082972 & 2.40885068274619 \tabularnewline
0.31 & 123.485174521602 & 2.43278488093890 \tabularnewline
0.32 & 124.100495794049 & 2.47608383927811 \tabularnewline
0.33 & 124.720216059170 & 2.52482836694438 \tabularnewline
0.34 & 125.345419757486 & 2.56847090813266 \tabularnewline
0.35 & 125.974912502998 & 2.60066462392849 \tabularnewline
0.36 & 126.606254360097 & 2.61811880189633 \tabularnewline
0.37 & 127.236735695257 & 2.62144519746975 \tabularnewline
0.38 & 127.864252693903 & 2.61597299803464 \tabularnewline
0.39 & 128.487944493525 & 2.60864723476452 \tabularnewline
0.4 & 129.108418118947 & 2.60753935533171 \tabularnewline
0.41 & 129.727457803465 & 2.61783298833086 \tabularnewline
0.42 & 130.347272232609 & 2.63956533194887 \tabularnewline
0.43 & 130.969505339093 & 2.66692864579653 \tabularnewline
0.44 & 131.594338893589 & 2.69003881533708 \tabularnewline
0.45 & 132.219993790236 & 2.69820955766359 \tabularnewline
0.46 & 132.842794665149 & 2.68301643978642 \tabularnewline
0.47 & 133.457758540563 & 2.64002882536164 \tabularnewline
0.48 & 134.059489183501 & 2.5710841084861 \tabularnewline
0.49 & 134.643077536490 & 2.48091068655336 \tabularnewline
0.5 & 135.204750711864 & 2.37679467611089 \tabularnewline
0.51 & 135.742147455838 & 2.26600854723287 \tabularnewline
0.52 & 136.254258456663 & 2.1542641314169 \tabularnewline
0.53 & 136.741183607667 & 2.04481160393168 \tabularnewline
0.54 & 137.203883363046 & 1.94035693487235 \tabularnewline
0.55 & 137.644041891946 & 1.84325467504779 \tabularnewline
0.56 & 138.064059143062 & 1.75650527467753 \tabularnewline
0.57 & 138.467103807985 & 1.68415349597590 \tabularnewline
0.58 & 138.85712915543 & 1.62976362865497 \tabularnewline
0.59 & 139.238782453143 & 1.59655320179161 \tabularnewline
0.6 & 139.617196097522 & 1.58605540683877 \tabularnewline
0.61 & 139.997692516374 & 1.59786270804237 \tabularnewline
0.62 & 140.385439429381 & 1.6299101246022 \tabularnewline
0.63 & 140.785064393868 & 1.67936389794611 \tabularnewline
0.64 & 141.200212774211 & 1.74173091867224 \tabularnewline
0.65 & 141.633048793422 & 1.80943838637067 \tabularnewline
0.66 & 142.083765502041 & 1.87370563419985 \tabularnewline
0.67 & 142.550255692048 & 1.92369943267308 \tabularnewline
0.68 & 143.028142910229 & 1.94950570935361 \tabularnewline
0.69 & 143.511325914255 & 1.94476761806243 \tabularnewline
0.7 & 143.993038688881 & 1.90898201264573 \tabularnewline
0.71 & 144.467218220305 & 1.84745333605300 \tabularnewline
0.72 & 144.929797123982 & 1.77149386239388 \tabularnewline
0.73 & 145.379498404130 & 1.69494536236009 \tabularnewline
0.74 & 145.817861142485 & 1.63038679027329 \tabularnewline
0.75 & 146.248540669028 & 1.58468475432009 \tabularnewline
0.76 & 146.676287129366 & 1.55846243304329 \tabularnewline
0.77 & 147.106246114377 & 1.54914669614416 \tabularnewline
0.78 & 147.544206162122 & 1.55514763674080 \tabularnewline
0.79 & 147.998105774501 & 1.58336744134791 \tabularnewline
0.8 & 148.48059928849 & 1.65180013613762 \tabularnewline
0.81 & 149.011933427815 & 1.78984828837007 \tabularnewline
0.82 & 149.621955910117 & 2.03024796271546 \tabularnewline
0.83 & 150.349859271023 & 2.39835719902315 \tabularnewline
0.84 & 151.240361245739 & 2.89661720257743 \tabularnewline
0.85 & 152.335643420949 & 3.4954191766957 \tabularnewline
0.86 & 153.663745789029 & 4.1264317691778 \tabularnewline
0.87 & 155.226172655097 & 4.68983729062515 \tabularnewline
0.88 & 156.989483234499 & 5.07540062856618 \tabularnewline
0.89 & 158.886391914965 & 5.19734873660222 \tabularnewline
0.9 & 160.830423806000 & 5.0300279210556 \tabularnewline
0.91 & 162.744452579478 & 4.63424105597287 \tabularnewline
0.92 & 164.598033932841 & 4.16220046942752 \tabularnewline
0.93 & 166.441167054437 & 3.83523657987385 \tabularnewline
0.94 & 168.413426249970 & 3.85892710116051 \tabularnewline
0.95 & 170.707245939772 & 4.24272911564102 \tabularnewline
0.96 & 173.494338524577 & 4.71360834516646 \tabularnewline
0.97 & 176.858076628437 & 4.9743556631597 \tabularnewline
0.98 & 180.665506640441 & 4.81640335115613 \tabularnewline
0.99 & 184.180207355769 & 3.33071495183284 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78438&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]66.3236863357506[/C][C]4.03063118548329[/C][/ROW]
[ROW][C]0.02[/C][C]70.8499746844744[/C][C]6.62590373519283[/C][/ROW]
[ROW][C]0.03[/C][C]76.177290175416[/C][C]7.62113533071543[/C][/ROW]
[ROW][C]0.04[/C][C]81.2204093631113[/C][C]7.30533131064769[/C][/ROW]
[ROW][C]0.05[/C][C]85.4362811138438[/C][C]6.27546571743239[/C][/ROW]
[ROW][C]0.06[/C][C]88.7159527478682[/C][C]5.07960235343809[/C][/ROW]
[ROW][C]0.07[/C][C]91.2107872697223[/C][C]4.18612707074861[/C][/ROW]
[ROW][C]0.08[/C][C]93.1788138130487[/C][C]3.76970878031352[/C][/ROW]
[ROW][C]0.09[/C][C]94.8643108078279[/C][C]3.7305286151231[/C][/ROW]
[ROW][C]0.1[/C][C]96.4381892304022[/C][C]3.90100450219656[/C][/ROW]
[ROW][C]0.11[/C][C]97.996659655805[/C][C]4.16914594670739[/C][/ROW]
[ROW][C]0.12[/C][C]99.5853895534197[/C][C]4.4801190862151[/C][/ROW]
[ROW][C]0.13[/C][C]101.221805945279[/C][C]4.80132242803283[/C][/ROW]
[ROW][C]0.14[/C][C]102.907074944087[/C][C]5.09856758919316[/C][/ROW]
[ROW][C]0.15[/C][C]104.631024533917[/C][C]5.33698143879697[/C][/ROW]
[ROW][C]0.16[/C][C]106.375310064266[/C][C]5.4934323547377[/C][/ROW]
[ROW][C]0.17[/C][C]108.117119021597[/C][C]5.56315938332919[/C][/ROW]
[ROW][C]0.18[/C][C]109.832545056453[/C][C]5.55062910753514[/C][/ROW]
[ROW][C]0.19[/C][C]111.498130249245[/C][C]5.45643241286875[/C][/ROW]
[ROW][C]0.2[/C][C]113.090685066260[/C][C]5.2726390441978[/C][/ROW]
[ROW][C]0.21[/C][C]114.587161876670[/C][C]4.99048541725024[/C][/ROW]
[ROW][C]0.22[/C][C]115.966332556624[/C][C]4.61511082962984[/C][/ROW]
[ROW][C]0.23[/C][C]117.212410894048[/C][C]4.17310189351656[/C][/ROW]
[ROW][C]0.24[/C][C]118.319028968145[/C][C]3.70981994661711[/C][/ROW]
[ROW][C]0.25[/C][C]119.291453746894[/C][C]3.27714241805122[/C][/ROW]
[ROW][C]0.26[/C][C]120.145822950016[/C][C]2.91850642553834[/C][/ROW]
[ROW][C]0.27[/C][C]120.905692506658[/C][C]2.65828297581299[/C][/ROW]
[ROW][C]0.28[/C][C]121.597317413790[/C][C]2.49830520757667[/C][/ROW]
[ROW][C]0.29[/C][C]122.245311847822[/C][C]2.42287989282724[/C][/ROW]
[ROW][C]0.3[/C][C]122.869780082972[/C][C]2.40885068274619[/C][/ROW]
[ROW][C]0.31[/C][C]123.485174521602[/C][C]2.43278488093890[/C][/ROW]
[ROW][C]0.32[/C][C]124.100495794049[/C][C]2.47608383927811[/C][/ROW]
[ROW][C]0.33[/C][C]124.720216059170[/C][C]2.52482836694438[/C][/ROW]
[ROW][C]0.34[/C][C]125.345419757486[/C][C]2.56847090813266[/C][/ROW]
[ROW][C]0.35[/C][C]125.974912502998[/C][C]2.60066462392849[/C][/ROW]
[ROW][C]0.36[/C][C]126.606254360097[/C][C]2.61811880189633[/C][/ROW]
[ROW][C]0.37[/C][C]127.236735695257[/C][C]2.62144519746975[/C][/ROW]
[ROW][C]0.38[/C][C]127.864252693903[/C][C]2.61597299803464[/C][/ROW]
[ROW][C]0.39[/C][C]128.487944493525[/C][C]2.60864723476452[/C][/ROW]
[ROW][C]0.4[/C][C]129.108418118947[/C][C]2.60753935533171[/C][/ROW]
[ROW][C]0.41[/C][C]129.727457803465[/C][C]2.61783298833086[/C][/ROW]
[ROW][C]0.42[/C][C]130.347272232609[/C][C]2.63956533194887[/C][/ROW]
[ROW][C]0.43[/C][C]130.969505339093[/C][C]2.66692864579653[/C][/ROW]
[ROW][C]0.44[/C][C]131.594338893589[/C][C]2.69003881533708[/C][/ROW]
[ROW][C]0.45[/C][C]132.219993790236[/C][C]2.69820955766359[/C][/ROW]
[ROW][C]0.46[/C][C]132.842794665149[/C][C]2.68301643978642[/C][/ROW]
[ROW][C]0.47[/C][C]133.457758540563[/C][C]2.64002882536164[/C][/ROW]
[ROW][C]0.48[/C][C]134.059489183501[/C][C]2.5710841084861[/C][/ROW]
[ROW][C]0.49[/C][C]134.643077536490[/C][C]2.48091068655336[/C][/ROW]
[ROW][C]0.5[/C][C]135.204750711864[/C][C]2.37679467611089[/C][/ROW]
[ROW][C]0.51[/C][C]135.742147455838[/C][C]2.26600854723287[/C][/ROW]
[ROW][C]0.52[/C][C]136.254258456663[/C][C]2.1542641314169[/C][/ROW]
[ROW][C]0.53[/C][C]136.741183607667[/C][C]2.04481160393168[/C][/ROW]
[ROW][C]0.54[/C][C]137.203883363046[/C][C]1.94035693487235[/C][/ROW]
[ROW][C]0.55[/C][C]137.644041891946[/C][C]1.84325467504779[/C][/ROW]
[ROW][C]0.56[/C][C]138.064059143062[/C][C]1.75650527467753[/C][/ROW]
[ROW][C]0.57[/C][C]138.467103807985[/C][C]1.68415349597590[/C][/ROW]
[ROW][C]0.58[/C][C]138.85712915543[/C][C]1.62976362865497[/C][/ROW]
[ROW][C]0.59[/C][C]139.238782453143[/C][C]1.59655320179161[/C][/ROW]
[ROW][C]0.6[/C][C]139.617196097522[/C][C]1.58605540683877[/C][/ROW]
[ROW][C]0.61[/C][C]139.997692516374[/C][C]1.59786270804237[/C][/ROW]
[ROW][C]0.62[/C][C]140.385439429381[/C][C]1.6299101246022[/C][/ROW]
[ROW][C]0.63[/C][C]140.785064393868[/C][C]1.67936389794611[/C][/ROW]
[ROW][C]0.64[/C][C]141.200212774211[/C][C]1.74173091867224[/C][/ROW]
[ROW][C]0.65[/C][C]141.633048793422[/C][C]1.80943838637067[/C][/ROW]
[ROW][C]0.66[/C][C]142.083765502041[/C][C]1.87370563419985[/C][/ROW]
[ROW][C]0.67[/C][C]142.550255692048[/C][C]1.92369943267308[/C][/ROW]
[ROW][C]0.68[/C][C]143.028142910229[/C][C]1.94950570935361[/C][/ROW]
[ROW][C]0.69[/C][C]143.511325914255[/C][C]1.94476761806243[/C][/ROW]
[ROW][C]0.7[/C][C]143.993038688881[/C][C]1.90898201264573[/C][/ROW]
[ROW][C]0.71[/C][C]144.467218220305[/C][C]1.84745333605300[/C][/ROW]
[ROW][C]0.72[/C][C]144.929797123982[/C][C]1.77149386239388[/C][/ROW]
[ROW][C]0.73[/C][C]145.379498404130[/C][C]1.69494536236009[/C][/ROW]
[ROW][C]0.74[/C][C]145.817861142485[/C][C]1.63038679027329[/C][/ROW]
[ROW][C]0.75[/C][C]146.248540669028[/C][C]1.58468475432009[/C][/ROW]
[ROW][C]0.76[/C][C]146.676287129366[/C][C]1.55846243304329[/C][/ROW]
[ROW][C]0.77[/C][C]147.106246114377[/C][C]1.54914669614416[/C][/ROW]
[ROW][C]0.78[/C][C]147.544206162122[/C][C]1.55514763674080[/C][/ROW]
[ROW][C]0.79[/C][C]147.998105774501[/C][C]1.58336744134791[/C][/ROW]
[ROW][C]0.8[/C][C]148.48059928849[/C][C]1.65180013613762[/C][/ROW]
[ROW][C]0.81[/C][C]149.011933427815[/C][C]1.78984828837007[/C][/ROW]
[ROW][C]0.82[/C][C]149.621955910117[/C][C]2.03024796271546[/C][/ROW]
[ROW][C]0.83[/C][C]150.349859271023[/C][C]2.39835719902315[/C][/ROW]
[ROW][C]0.84[/C][C]151.240361245739[/C][C]2.89661720257743[/C][/ROW]
[ROW][C]0.85[/C][C]152.335643420949[/C][C]3.4954191766957[/C][/ROW]
[ROW][C]0.86[/C][C]153.663745789029[/C][C]4.1264317691778[/C][/ROW]
[ROW][C]0.87[/C][C]155.226172655097[/C][C]4.68983729062515[/C][/ROW]
[ROW][C]0.88[/C][C]156.989483234499[/C][C]5.07540062856618[/C][/ROW]
[ROW][C]0.89[/C][C]158.886391914965[/C][C]5.19734873660222[/C][/ROW]
[ROW][C]0.9[/C][C]160.830423806000[/C][C]5.0300279210556[/C][/ROW]
[ROW][C]0.91[/C][C]162.744452579478[/C][C]4.63424105597287[/C][/ROW]
[ROW][C]0.92[/C][C]164.598033932841[/C][C]4.16220046942752[/C][/ROW]
[ROW][C]0.93[/C][C]166.441167054437[/C][C]3.83523657987385[/C][/ROW]
[ROW][C]0.94[/C][C]168.413426249970[/C][C]3.85892710116051[/C][/ROW]
[ROW][C]0.95[/C][C]170.707245939772[/C][C]4.24272911564102[/C][/ROW]
[ROW][C]0.96[/C][C]173.494338524577[/C][C]4.71360834516646[/C][/ROW]
[ROW][C]0.97[/C][C]176.858076628437[/C][C]4.9743556631597[/C][/ROW]
[ROW][C]0.98[/C][C]180.665506640441[/C][C]4.81640335115613[/C][/ROW]
[ROW][C]0.99[/C][C]184.180207355769[/C][C]3.33071495183284[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78438&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78438&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
0.0166.32368633575064.03063118548329
0.0270.84997468447446.62590373519283
0.0376.1772901754167.62113533071543
0.0481.22040936311137.30533131064769
0.0585.43628111384386.27546571743239
0.0688.71595274786825.07960235343809
0.0791.21078726972234.18612707074861
0.0893.17881381304873.76970878031352
0.0994.86431080782793.7305286151231
0.196.43818923040223.90100450219656
0.1197.9966596558054.16914594670739
0.1299.58538955341974.4801190862151
0.13101.2218059452794.80132242803283
0.14102.9070749440875.09856758919316
0.15104.6310245339175.33698143879697
0.16106.3753100642665.4934323547377
0.17108.1171190215975.56315938332919
0.18109.8325450564535.55062910753514
0.19111.4981302492455.45643241286875
0.2113.0906850662605.2726390441978
0.21114.5871618766704.99048541725024
0.22115.9663325566244.61511082962984
0.23117.2124108940484.17310189351656
0.24118.3190289681453.70981994661711
0.25119.2914537468943.27714241805122
0.26120.1458229500162.91850642553834
0.27120.9056925066582.65828297581299
0.28121.5973174137902.49830520757667
0.29122.2453118478222.42287989282724
0.3122.8697800829722.40885068274619
0.31123.4851745216022.43278488093890
0.32124.1004957940492.47608383927811
0.33124.7202160591702.52482836694438
0.34125.3454197574862.56847090813266
0.35125.9749125029982.60066462392849
0.36126.6062543600972.61811880189633
0.37127.2367356952572.62144519746975
0.38127.8642526939032.61597299803464
0.39128.4879444935252.60864723476452
0.4129.1084181189472.60753935533171
0.41129.7274578034652.61783298833086
0.42130.3472722326092.63956533194887
0.43130.9695053390932.66692864579653
0.44131.5943388935892.69003881533708
0.45132.2199937902362.69820955766359
0.46132.8427946651492.68301643978642
0.47133.4577585405632.64002882536164
0.48134.0594891835012.5710841084861
0.49134.6430775364902.48091068655336
0.5135.2047507118642.37679467611089
0.51135.7421474558382.26600854723287
0.52136.2542584566632.1542641314169
0.53136.7411836076672.04481160393168
0.54137.2038833630461.94035693487235
0.55137.6440418919461.84325467504779
0.56138.0640591430621.75650527467753
0.57138.4671038079851.68415349597590
0.58138.857129155431.62976362865497
0.59139.2387824531431.59655320179161
0.6139.6171960975221.58605540683877
0.61139.9976925163741.59786270804237
0.62140.3854394293811.6299101246022
0.63140.7850643938681.67936389794611
0.64141.2002127742111.74173091867224
0.65141.6330487934221.80943838637067
0.66142.0837655020411.87370563419985
0.67142.5502556920481.92369943267308
0.68143.0281429102291.94950570935361
0.69143.5113259142551.94476761806243
0.7143.9930386888811.90898201264573
0.71144.4672182203051.84745333605300
0.72144.9297971239821.77149386239388
0.73145.3794984041301.69494536236009
0.74145.8178611424851.63038679027329
0.75146.2485406690281.58468475432009
0.76146.6762871293661.55846243304329
0.77147.1062461143771.54914669614416
0.78147.5442061621221.55514763674080
0.79147.9981057745011.58336744134791
0.8148.480599288491.65180013613762
0.81149.0119334278151.78984828837007
0.82149.6219559101172.03024796271546
0.83150.3498592710232.39835719902315
0.84151.2403612457392.89661720257743
0.85152.3356434209493.4954191766957
0.86153.6637457890294.1264317691778
0.87155.2261726550974.68983729062515
0.88156.9894832344995.07540062856618
0.89158.8863919149655.19734873660222
0.9160.8304238060005.0300279210556
0.91162.7444525794784.63424105597287
0.92164.5980339328414.16220046942752
0.93166.4411670544373.83523657987385
0.94168.4134262499703.85892710116051
0.95170.7072459397724.24272911564102
0.96173.4943385245774.71360834516646
0.97176.8580766284374.9743556631597
0.98180.6655066404414.81640335115613
0.99184.1802073557693.33071495183284


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')