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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 computationWed, 08 Mar 2017 14:33:34 +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/2017/Mar/08/t1488983643cwhqo16vi01dpk3.htm/, Retrieved Wed, 15 May 2024 06:17:16 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 06:17:16 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
70,3
90,2
107,3
104,6
102,7
124,5
117,8
104,2
99,9
91,5
95,7
91,4
86,2
91,5
115,5
113,9
131,9
121,2
105,2
107,5
113,8
100,5
104,8
103,8
93,1
106,2
117,5
109,9
123,6
139,3
111
122
110,9
108
103,7
107,3
92
83,4
110,7
109
121,3
121,4
129,9
109,7
113,1
109,4
101
109
92,8
91,1
114,5
118,6
120,2
135,9
122,8
106
118,1
108,9
97,3
113,9
88,3
88,3
114,6
118,8
111,9
130,1
124,3
112,2
110
105,8
105,1
106,7

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0173.840724174708310.3471389433561
0.0278.51363852243177.10733406718005
0.0382.46217184965014.61702478254096
0.0485.18474538219373.1594415048216
0.0586.94948104362612.40931899161697
0.0688.13759702991132.01906944356792
0.0789.00738228075261.78589274806845
0.0889.69589665570471.61653277528532
0.0990.2721273920791.48711672735728
0.190.776447223371.41626678791951
0.1191.24049701179981.43835930936302
0.1291.69430584994181.57551460241799
0.1392.16660715667841.82278406754966
0.1492.6822675182172.15268746113519
0.1593.25929575303512.52767701945694
0.1693.90680009160442.90769004302865
0.1794.62441877271223.25454109867507
0.1895.40318532247513.53670880384257
0.1996.22747739238163.73174667481628
0.297.07756951936863.82895240909504
0.2197.93230455533053.82818912737738
0.2298.7714761883453.73888707441751
0.2399.57764620965573.57666349085824
0.24100.3372732279763.36074045555164
0.25101.0411705320393.11052256354009
0.26101.6844122905292.84432026492709
0.27102.2658565567942.57767002877778
0.28102.7874547117142.32284708020526
0.29103.2534860234922.08951389868865
0.3103.6698124632481.88396588886177
0.31104.0432084690881.71020857674023
0.32104.3807911359151.56989008497157
0.33104.6895592456991.46210884737515
0.34104.9760411815341.38436282852284
0.35105.246047554181.33269616853043
0.36105.504521021921.30224952375341
0.37105.7554720709531.28845930328298
0.38106.0019858761721.28619972301961
0.39106.2462829255451.29130305552124
0.4106.4898158142671.30025180233626
0.41106.7333867208161.31026954504007
0.42106.9772739793281.31894033515579
0.43107.22136071541.32467122694073
0.44107.4652624248591.32646447367762
0.45107.7084526291241.32400298391465
0.46107.9503858891771.31708947352461
0.47108.1906157354121.30702867224369
0.48108.4289022879051.29502454978489
0.49108.665301633211.28313662061899
0.5108.9002274958921.27386557886854
0.51109.1344761651751.26943390975547
0.52109.3692082612751.27247927173742
0.53109.6058854790691.28447450955795
0.54109.8461662656111.30641407894551
0.55110.0917706150911.33831385795337
0.56110.3443299040751.37903170332232
0.57110.6052420663281.42638964516299
0.58110.8755545458121.47786816880393
0.59111.155896480871.53033180038023
0.6111.4464766687831.58099561242882
0.61111.747154636611.62758236543144
0.62112.0575790414451.66908322942069
0.63112.3773723508881.70566789598128
0.64112.7063264364291.73881207415447
0.65113.0445644930261.77129461740103
0.66113.3926247068521.80635209644076
0.67113.7514329270071.84669071143579
0.68114.1221547849281.89409682419512
0.69114.5059478218541.94770181792176
0.7114.9036632584712.00488963020237
0.71115.3155655621212.06091052439126
0.72115.741138178112.11003303984872
0.73116.1790232278762.14710210106517
0.74116.6271067274812.16806767572782
0.75117.0827211101852.17125305058163
0.76117.5429089488032.15674660621545
0.77118.0046880784062.12613376715819
0.78118.4652817085462.08179525955723
0.79118.9223180846822.02623208128081
0.8119.3740439334921.96184382262775
0.81119.8196150165381.89161606185855
0.82120.2595168444241.81997776599358
0.83120.6961363442191.75409522323414
0.84121.13446793731.70381626257725
0.85121.582902123611.68193612970131
0.86122.0539885097821.70289636694784
0.87122.5649408251521.78199196212418
0.88123.1374429800751.93290529938851
0.89123.7961392765862.161991797364
0.9124.565363463212.45824464170071
0.91125.4645673166252.78510887110714
0.92126.504564024433.08286723862124
0.93127.6881429049513.29069981645101
0.94129.0177947648783.38568436579662
0.95130.5082304065973.41333157621457
0.96132.1920230389693.45772444780291
0.97134.0953544026423.52784671659784
0.98136.1544913478843.51503492654109
0.99138.076201541583.40263035998224

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 73.8407241747083 & 10.3471389433561 \tabularnewline
0.02 & 78.5136385224317 & 7.10733406718005 \tabularnewline
0.03 & 82.4621718496501 & 4.61702478254096 \tabularnewline
0.04 & 85.1847453821937 & 3.1594415048216 \tabularnewline
0.05 & 86.9494810436261 & 2.40931899161697 \tabularnewline
0.06 & 88.1375970299113 & 2.01906944356792 \tabularnewline
0.07 & 89.0073822807526 & 1.78589274806845 \tabularnewline
0.08 & 89.6958966557047 & 1.61653277528532 \tabularnewline
0.09 & 90.272127392079 & 1.48711672735728 \tabularnewline
0.1 & 90.77644722337 & 1.41626678791951 \tabularnewline
0.11 & 91.2404970117998 & 1.43835930936302 \tabularnewline
0.12 & 91.6943058499418 & 1.57551460241799 \tabularnewline
0.13 & 92.1666071566784 & 1.82278406754966 \tabularnewline
0.14 & 92.682267518217 & 2.15268746113519 \tabularnewline
0.15 & 93.2592957530351 & 2.52767701945694 \tabularnewline
0.16 & 93.9068000916044 & 2.90769004302865 \tabularnewline
0.17 & 94.6244187727122 & 3.25454109867507 \tabularnewline
0.18 & 95.4031853224751 & 3.53670880384257 \tabularnewline
0.19 & 96.2274773923816 & 3.73174667481628 \tabularnewline
0.2 & 97.0775695193686 & 3.82895240909504 \tabularnewline
0.21 & 97.9323045553305 & 3.82818912737738 \tabularnewline
0.22 & 98.771476188345 & 3.73888707441751 \tabularnewline
0.23 & 99.5776462096557 & 3.57666349085824 \tabularnewline
0.24 & 100.337273227976 & 3.36074045555164 \tabularnewline
0.25 & 101.041170532039 & 3.11052256354009 \tabularnewline
0.26 & 101.684412290529 & 2.84432026492709 \tabularnewline
0.27 & 102.265856556794 & 2.57767002877778 \tabularnewline
0.28 & 102.787454711714 & 2.32284708020526 \tabularnewline
0.29 & 103.253486023492 & 2.08951389868865 \tabularnewline
0.3 & 103.669812463248 & 1.88396588886177 \tabularnewline
0.31 & 104.043208469088 & 1.71020857674023 \tabularnewline
0.32 & 104.380791135915 & 1.56989008497157 \tabularnewline
0.33 & 104.689559245699 & 1.46210884737515 \tabularnewline
0.34 & 104.976041181534 & 1.38436282852284 \tabularnewline
0.35 & 105.24604755418 & 1.33269616853043 \tabularnewline
0.36 & 105.50452102192 & 1.30224952375341 \tabularnewline
0.37 & 105.755472070953 & 1.28845930328298 \tabularnewline
0.38 & 106.001985876172 & 1.28619972301961 \tabularnewline
0.39 & 106.246282925545 & 1.29130305552124 \tabularnewline
0.4 & 106.489815814267 & 1.30025180233626 \tabularnewline
0.41 & 106.733386720816 & 1.31026954504007 \tabularnewline
0.42 & 106.977273979328 & 1.31894033515579 \tabularnewline
0.43 & 107.2213607154 & 1.32467122694073 \tabularnewline
0.44 & 107.465262424859 & 1.32646447367762 \tabularnewline
0.45 & 107.708452629124 & 1.32400298391465 \tabularnewline
0.46 & 107.950385889177 & 1.31708947352461 \tabularnewline
0.47 & 108.190615735412 & 1.30702867224369 \tabularnewline
0.48 & 108.428902287905 & 1.29502454978489 \tabularnewline
0.49 & 108.66530163321 & 1.28313662061899 \tabularnewline
0.5 & 108.900227495892 & 1.27386557886854 \tabularnewline
0.51 & 109.134476165175 & 1.26943390975547 \tabularnewline
0.52 & 109.369208261275 & 1.27247927173742 \tabularnewline
0.53 & 109.605885479069 & 1.28447450955795 \tabularnewline
0.54 & 109.846166265611 & 1.30641407894551 \tabularnewline
0.55 & 110.091770615091 & 1.33831385795337 \tabularnewline
0.56 & 110.344329904075 & 1.37903170332232 \tabularnewline
0.57 & 110.605242066328 & 1.42638964516299 \tabularnewline
0.58 & 110.875554545812 & 1.47786816880393 \tabularnewline
0.59 & 111.15589648087 & 1.53033180038023 \tabularnewline
0.6 & 111.446476668783 & 1.58099561242882 \tabularnewline
0.61 & 111.74715463661 & 1.62758236543144 \tabularnewline
0.62 & 112.057579041445 & 1.66908322942069 \tabularnewline
0.63 & 112.377372350888 & 1.70566789598128 \tabularnewline
0.64 & 112.706326436429 & 1.73881207415447 \tabularnewline
0.65 & 113.044564493026 & 1.77129461740103 \tabularnewline
0.66 & 113.392624706852 & 1.80635209644076 \tabularnewline
0.67 & 113.751432927007 & 1.84669071143579 \tabularnewline
0.68 & 114.122154784928 & 1.89409682419512 \tabularnewline
0.69 & 114.505947821854 & 1.94770181792176 \tabularnewline
0.7 & 114.903663258471 & 2.00488963020237 \tabularnewline
0.71 & 115.315565562121 & 2.06091052439126 \tabularnewline
0.72 & 115.74113817811 & 2.11003303984872 \tabularnewline
0.73 & 116.179023227876 & 2.14710210106517 \tabularnewline
0.74 & 116.627106727481 & 2.16806767572782 \tabularnewline
0.75 & 117.082721110185 & 2.17125305058163 \tabularnewline
0.76 & 117.542908948803 & 2.15674660621545 \tabularnewline
0.77 & 118.004688078406 & 2.12613376715819 \tabularnewline
0.78 & 118.465281708546 & 2.08179525955723 \tabularnewline
0.79 & 118.922318084682 & 2.02623208128081 \tabularnewline
0.8 & 119.374043933492 & 1.96184382262775 \tabularnewline
0.81 & 119.819615016538 & 1.89161606185855 \tabularnewline
0.82 & 120.259516844424 & 1.81997776599358 \tabularnewline
0.83 & 120.696136344219 & 1.75409522323414 \tabularnewline
0.84 & 121.1344679373 & 1.70381626257725 \tabularnewline
0.85 & 121.58290212361 & 1.68193612970131 \tabularnewline
0.86 & 122.053988509782 & 1.70289636694784 \tabularnewline
0.87 & 122.564940825152 & 1.78199196212418 \tabularnewline
0.88 & 123.137442980075 & 1.93290529938851 \tabularnewline
0.89 & 123.796139276586 & 2.161991797364 \tabularnewline
0.9 & 124.56536346321 & 2.45824464170071 \tabularnewline
0.91 & 125.464567316625 & 2.78510887110714 \tabularnewline
0.92 & 126.50456402443 & 3.08286723862124 \tabularnewline
0.93 & 127.688142904951 & 3.29069981645101 \tabularnewline
0.94 & 129.017794764878 & 3.38568436579662 \tabularnewline
0.95 & 130.508230406597 & 3.41333157621457 \tabularnewline
0.96 & 132.192023038969 & 3.45772444780291 \tabularnewline
0.97 & 134.095354402642 & 3.52784671659784 \tabularnewline
0.98 & 136.154491347884 & 3.51503492654109 \tabularnewline
0.99 & 138.07620154158 & 3.40263035998224 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]73.8407241747083[/C][C]10.3471389433561[/C][/ROW]
[ROW][C]0.02[/C][C]78.5136385224317[/C][C]7.10733406718005[/C][/ROW]
[ROW][C]0.03[/C][C]82.4621718496501[/C][C]4.61702478254096[/C][/ROW]
[ROW][C]0.04[/C][C]85.1847453821937[/C][C]3.1594415048216[/C][/ROW]
[ROW][C]0.05[/C][C]86.9494810436261[/C][C]2.40931899161697[/C][/ROW]
[ROW][C]0.06[/C][C]88.1375970299113[/C][C]2.01906944356792[/C][/ROW]
[ROW][C]0.07[/C][C]89.0073822807526[/C][C]1.78589274806845[/C][/ROW]
[ROW][C]0.08[/C][C]89.6958966557047[/C][C]1.61653277528532[/C][/ROW]
[ROW][C]0.09[/C][C]90.272127392079[/C][C]1.48711672735728[/C][/ROW]
[ROW][C]0.1[/C][C]90.77644722337[/C][C]1.41626678791951[/C][/ROW]
[ROW][C]0.11[/C][C]91.2404970117998[/C][C]1.43835930936302[/C][/ROW]
[ROW][C]0.12[/C][C]91.6943058499418[/C][C]1.57551460241799[/C][/ROW]
[ROW][C]0.13[/C][C]92.1666071566784[/C][C]1.82278406754966[/C][/ROW]
[ROW][C]0.14[/C][C]92.682267518217[/C][C]2.15268746113519[/C][/ROW]
[ROW][C]0.15[/C][C]93.2592957530351[/C][C]2.52767701945694[/C][/ROW]
[ROW][C]0.16[/C][C]93.9068000916044[/C][C]2.90769004302865[/C][/ROW]
[ROW][C]0.17[/C][C]94.6244187727122[/C][C]3.25454109867507[/C][/ROW]
[ROW][C]0.18[/C][C]95.4031853224751[/C][C]3.53670880384257[/C][/ROW]
[ROW][C]0.19[/C][C]96.2274773923816[/C][C]3.73174667481628[/C][/ROW]
[ROW][C]0.2[/C][C]97.0775695193686[/C][C]3.82895240909504[/C][/ROW]
[ROW][C]0.21[/C][C]97.9323045553305[/C][C]3.82818912737738[/C][/ROW]
[ROW][C]0.22[/C][C]98.771476188345[/C][C]3.73888707441751[/C][/ROW]
[ROW][C]0.23[/C][C]99.5776462096557[/C][C]3.57666349085824[/C][/ROW]
[ROW][C]0.24[/C][C]100.337273227976[/C][C]3.36074045555164[/C][/ROW]
[ROW][C]0.25[/C][C]101.041170532039[/C][C]3.11052256354009[/C][/ROW]
[ROW][C]0.26[/C][C]101.684412290529[/C][C]2.84432026492709[/C][/ROW]
[ROW][C]0.27[/C][C]102.265856556794[/C][C]2.57767002877778[/C][/ROW]
[ROW][C]0.28[/C][C]102.787454711714[/C][C]2.32284708020526[/C][/ROW]
[ROW][C]0.29[/C][C]103.253486023492[/C][C]2.08951389868865[/C][/ROW]
[ROW][C]0.3[/C][C]103.669812463248[/C][C]1.88396588886177[/C][/ROW]
[ROW][C]0.31[/C][C]104.043208469088[/C][C]1.71020857674023[/C][/ROW]
[ROW][C]0.32[/C][C]104.380791135915[/C][C]1.56989008497157[/C][/ROW]
[ROW][C]0.33[/C][C]104.689559245699[/C][C]1.46210884737515[/C][/ROW]
[ROW][C]0.34[/C][C]104.976041181534[/C][C]1.38436282852284[/C][/ROW]
[ROW][C]0.35[/C][C]105.24604755418[/C][C]1.33269616853043[/C][/ROW]
[ROW][C]0.36[/C][C]105.50452102192[/C][C]1.30224952375341[/C][/ROW]
[ROW][C]0.37[/C][C]105.755472070953[/C][C]1.28845930328298[/C][/ROW]
[ROW][C]0.38[/C][C]106.001985876172[/C][C]1.28619972301961[/C][/ROW]
[ROW][C]0.39[/C][C]106.246282925545[/C][C]1.29130305552124[/C][/ROW]
[ROW][C]0.4[/C][C]106.489815814267[/C][C]1.30025180233626[/C][/ROW]
[ROW][C]0.41[/C][C]106.733386720816[/C][C]1.31026954504007[/C][/ROW]
[ROW][C]0.42[/C][C]106.977273979328[/C][C]1.31894033515579[/C][/ROW]
[ROW][C]0.43[/C][C]107.2213607154[/C][C]1.32467122694073[/C][/ROW]
[ROW][C]0.44[/C][C]107.465262424859[/C][C]1.32646447367762[/C][/ROW]
[ROW][C]0.45[/C][C]107.708452629124[/C][C]1.32400298391465[/C][/ROW]
[ROW][C]0.46[/C][C]107.950385889177[/C][C]1.31708947352461[/C][/ROW]
[ROW][C]0.47[/C][C]108.190615735412[/C][C]1.30702867224369[/C][/ROW]
[ROW][C]0.48[/C][C]108.428902287905[/C][C]1.29502454978489[/C][/ROW]
[ROW][C]0.49[/C][C]108.66530163321[/C][C]1.28313662061899[/C][/ROW]
[ROW][C]0.5[/C][C]108.900227495892[/C][C]1.27386557886854[/C][/ROW]
[ROW][C]0.51[/C][C]109.134476165175[/C][C]1.26943390975547[/C][/ROW]
[ROW][C]0.52[/C][C]109.369208261275[/C][C]1.27247927173742[/C][/ROW]
[ROW][C]0.53[/C][C]109.605885479069[/C][C]1.28447450955795[/C][/ROW]
[ROW][C]0.54[/C][C]109.846166265611[/C][C]1.30641407894551[/C][/ROW]
[ROW][C]0.55[/C][C]110.091770615091[/C][C]1.33831385795337[/C][/ROW]
[ROW][C]0.56[/C][C]110.344329904075[/C][C]1.37903170332232[/C][/ROW]
[ROW][C]0.57[/C][C]110.605242066328[/C][C]1.42638964516299[/C][/ROW]
[ROW][C]0.58[/C][C]110.875554545812[/C][C]1.47786816880393[/C][/ROW]
[ROW][C]0.59[/C][C]111.15589648087[/C][C]1.53033180038023[/C][/ROW]
[ROW][C]0.6[/C][C]111.446476668783[/C][C]1.58099561242882[/C][/ROW]
[ROW][C]0.61[/C][C]111.74715463661[/C][C]1.62758236543144[/C][/ROW]
[ROW][C]0.62[/C][C]112.057579041445[/C][C]1.66908322942069[/C][/ROW]
[ROW][C]0.63[/C][C]112.377372350888[/C][C]1.70566789598128[/C][/ROW]
[ROW][C]0.64[/C][C]112.706326436429[/C][C]1.73881207415447[/C][/ROW]
[ROW][C]0.65[/C][C]113.044564493026[/C][C]1.77129461740103[/C][/ROW]
[ROW][C]0.66[/C][C]113.392624706852[/C][C]1.80635209644076[/C][/ROW]
[ROW][C]0.67[/C][C]113.751432927007[/C][C]1.84669071143579[/C][/ROW]
[ROW][C]0.68[/C][C]114.122154784928[/C][C]1.89409682419512[/C][/ROW]
[ROW][C]0.69[/C][C]114.505947821854[/C][C]1.94770181792176[/C][/ROW]
[ROW][C]0.7[/C][C]114.903663258471[/C][C]2.00488963020237[/C][/ROW]
[ROW][C]0.71[/C][C]115.315565562121[/C][C]2.06091052439126[/C][/ROW]
[ROW][C]0.72[/C][C]115.74113817811[/C][C]2.11003303984872[/C][/ROW]
[ROW][C]0.73[/C][C]116.179023227876[/C][C]2.14710210106517[/C][/ROW]
[ROW][C]0.74[/C][C]116.627106727481[/C][C]2.16806767572782[/C][/ROW]
[ROW][C]0.75[/C][C]117.082721110185[/C][C]2.17125305058163[/C][/ROW]
[ROW][C]0.76[/C][C]117.542908948803[/C][C]2.15674660621545[/C][/ROW]
[ROW][C]0.77[/C][C]118.004688078406[/C][C]2.12613376715819[/C][/ROW]
[ROW][C]0.78[/C][C]118.465281708546[/C][C]2.08179525955723[/C][/ROW]
[ROW][C]0.79[/C][C]118.922318084682[/C][C]2.02623208128081[/C][/ROW]
[ROW][C]0.8[/C][C]119.374043933492[/C][C]1.96184382262775[/C][/ROW]
[ROW][C]0.81[/C][C]119.819615016538[/C][C]1.89161606185855[/C][/ROW]
[ROW][C]0.82[/C][C]120.259516844424[/C][C]1.81997776599358[/C][/ROW]
[ROW][C]0.83[/C][C]120.696136344219[/C][C]1.75409522323414[/C][/ROW]
[ROW][C]0.84[/C][C]121.1344679373[/C][C]1.70381626257725[/C][/ROW]
[ROW][C]0.85[/C][C]121.58290212361[/C][C]1.68193612970131[/C][/ROW]
[ROW][C]0.86[/C][C]122.053988509782[/C][C]1.70289636694784[/C][/ROW]
[ROW][C]0.87[/C][C]122.564940825152[/C][C]1.78199196212418[/C][/ROW]
[ROW][C]0.88[/C][C]123.137442980075[/C][C]1.93290529938851[/C][/ROW]
[ROW][C]0.89[/C][C]123.796139276586[/C][C]2.161991797364[/C][/ROW]
[ROW][C]0.9[/C][C]124.56536346321[/C][C]2.45824464170071[/C][/ROW]
[ROW][C]0.91[/C][C]125.464567316625[/C][C]2.78510887110714[/C][/ROW]
[ROW][C]0.92[/C][C]126.50456402443[/C][C]3.08286723862124[/C][/ROW]
[ROW][C]0.93[/C][C]127.688142904951[/C][C]3.29069981645101[/C][/ROW]
[ROW][C]0.94[/C][C]129.017794764878[/C][C]3.38568436579662[/C][/ROW]
[ROW][C]0.95[/C][C]130.508230406597[/C][C]3.41333157621457[/C][/ROW]
[ROW][C]0.96[/C][C]132.192023038969[/C][C]3.45772444780291[/C][/ROW]
[ROW][C]0.97[/C][C]134.095354402642[/C][C]3.52784671659784[/C][/ROW]
[ROW][C]0.98[/C][C]136.154491347884[/C][C]3.51503492654109[/C][/ROW]
[ROW][C]0.99[/C][C]138.07620154158[/C][C]3.40263035998224[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0173.840724174708310.3471389433561
0.0278.51363852243177.10733406718005
0.0382.46217184965014.61702478254096
0.0485.18474538219373.1594415048216
0.0586.94948104362612.40931899161697
0.0688.13759702991132.01906944356792
0.0789.00738228075261.78589274806845
0.0889.69589665570471.61653277528532
0.0990.2721273920791.48711672735728
0.190.776447223371.41626678791951
0.1191.24049701179981.43835930936302
0.1291.69430584994181.57551460241799
0.1392.16660715667841.82278406754966
0.1492.6822675182172.15268746113519
0.1593.25929575303512.52767701945694
0.1693.90680009160442.90769004302865
0.1794.62441877271223.25454109867507
0.1895.40318532247513.53670880384257
0.1996.22747739238163.73174667481628
0.297.07756951936863.82895240909504
0.2197.93230455533053.82818912737738
0.2298.7714761883453.73888707441751
0.2399.57764620965573.57666349085824
0.24100.3372732279763.36074045555164
0.25101.0411705320393.11052256354009
0.26101.6844122905292.84432026492709
0.27102.2658565567942.57767002877778
0.28102.7874547117142.32284708020526
0.29103.2534860234922.08951389868865
0.3103.6698124632481.88396588886177
0.31104.0432084690881.71020857674023
0.32104.3807911359151.56989008497157
0.33104.6895592456991.46210884737515
0.34104.9760411815341.38436282852284
0.35105.246047554181.33269616853043
0.36105.504521021921.30224952375341
0.37105.7554720709531.28845930328298
0.38106.0019858761721.28619972301961
0.39106.2462829255451.29130305552124
0.4106.4898158142671.30025180233626
0.41106.7333867208161.31026954504007
0.42106.9772739793281.31894033515579
0.43107.22136071541.32467122694073
0.44107.4652624248591.32646447367762
0.45107.7084526291241.32400298391465
0.46107.9503858891771.31708947352461
0.47108.1906157354121.30702867224369
0.48108.4289022879051.29502454978489
0.49108.665301633211.28313662061899
0.5108.9002274958921.27386557886854
0.51109.1344761651751.26943390975547
0.52109.3692082612751.27247927173742
0.53109.6058854790691.28447450955795
0.54109.8461662656111.30641407894551
0.55110.0917706150911.33831385795337
0.56110.3443299040751.37903170332232
0.57110.6052420663281.42638964516299
0.58110.8755545458121.47786816880393
0.59111.155896480871.53033180038023
0.6111.4464766687831.58099561242882
0.61111.747154636611.62758236543144
0.62112.0575790414451.66908322942069
0.63112.3773723508881.70566789598128
0.64112.7063264364291.73881207415447
0.65113.0445644930261.77129461740103
0.66113.3926247068521.80635209644076
0.67113.7514329270071.84669071143579
0.68114.1221547849281.89409682419512
0.69114.5059478218541.94770181792176
0.7114.9036632584712.00488963020237
0.71115.3155655621212.06091052439126
0.72115.741138178112.11003303984872
0.73116.1790232278762.14710210106517
0.74116.6271067274812.16806767572782
0.75117.0827211101852.17125305058163
0.76117.5429089488032.15674660621545
0.77118.0046880784062.12613376715819
0.78118.4652817085462.08179525955723
0.79118.9223180846822.02623208128081
0.8119.3740439334921.96184382262775
0.81119.8196150165381.89161606185855
0.82120.2595168444241.81997776599358
0.83120.6961363442191.75409522323414
0.84121.13446793731.70381626257725
0.85121.582902123611.68193612970131
0.86122.0539885097821.70289636694784
0.87122.5649408251521.78199196212418
0.88123.1374429800751.93290529938851
0.89123.7961392765862.161991797364
0.9124.565363463212.45824464170071
0.91125.4645673166252.78510887110714
0.92126.504564024433.08286723862124
0.93127.6881429049513.29069981645101
0.94129.0177947648783.38568436579662
0.95130.5082304065973.41333157621457
0.96132.1920230389693.45772444780291
0.97134.0953544026423.52784671659784
0.98136.1544913478843.51503492654109
0.99138.076201541583.40263035998224


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')