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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 computationSat, 01 Mar 2008 10:17:58 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/01/t1204391956mbqz4bqrpo7r9xq.htm/, Retrieved Sat, 18 May 2024 05:06:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9433, Retrieved Sat, 18 May 2024 05:06:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188

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] [Percentielen prij...] [2008-03-01 17:17:58] [e1b1b3318b3a8a01c97d416cfdcee2a5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94.7
95.8
97
97.1
97.5
97.6
97.9
98.1
98.1
98.2
98.3
98.5
98.6
99
99.1
99.3
99.3
99.7
99.7
100
100.2
100.4
100.9
101.7
101.9
101.9
102
103.1
103.2
103.9
104.6
104.9
105
105.1
105.1
105.7
113.4
114
115.6
117.5
118.9
120.3
120.9
121.7
121.9
124.7
125.1
128.2
147.9
149.7
154.2
159.3
163.6
164.5
170
170.3
173.9
174.2
179.9
190.8
209.3
209.9
220.8
226.4
228.3
229.7
231.5
239.6
240.8
241.1
241.9
242.1

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9433&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9433&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9433&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.07468635386671.04990431511900
0.0295.6357013898570.981923171963378
0.0396.19170035516510.857079885139392
0.0496.64922988793050.70181910658441
0.0596.99763173948270.569160597656812
0.0697.26034774425430.482529811456708
0.0797.4649179383580.432419190941045
0.0897.63220326430340.401249862543238
0.0997.77546696179310.379375196661629
0.197.90276914051180.364697487068234
0.1198.01946886914480.359096935067906
0.1298.12975359364840.364589385012409
0.1398.23721258056490.381199251979454
0.1498.34485076910390.406577670661289
0.1598.45493093752120.437264981801158
0.1698.56888646093380.469675628841787
0.1798.68739612494180.501428909028057
0.1898.81060502534790.531429563620855
0.1998.93842009164240.560308396663567
0.299.07079706750590.589389228911519
0.2199.20795310764290.621339982022178
0.2299.35046994085030.658256052296683
0.2399.4992842833220.701937219986926
0.2499.65558708682720.75313757536313
0.2599.82066800816350.811795630174047
0.2699.99574615342960.876587857106153
0.27100.1818244492350.945676277726757
0.28100.3795954534951.01727067635486
0.29100.5894138062341.08898210708594
0.3100.8113376208451.1597005957589
0.31101.0452305223111.22872221174530
0.32101.2909097331101.29647181035390
0.33101.5483243662111.36412653063493
0.34101.8177509964951.43415340331325
0.35102.0999980562411.51024897160446
0.36102.3966130927981.59657766137310
0.37102.7100842909031.69929335338548
0.38103.0440186791741.82541259906643
0.39103.4032658959041.98315403623279
0.4103.7939431364802.18074589380143
0.41104.2233106848342.42530744935365
0.42104.699454689062.72116805568979
0.43105.2307582001663.06828662821231
0.44105.825181770473.46080303613666
0.45106.4894244628683.88726491489547
0.46107.2280839287554.33133614957163
0.47108.0429674920934.77302030117668
0.48108.9327138511835.19118081471404
0.49109.8928609086255.56688073680636
0.5110.9164400388625.88608877865741
0.51111.9950983705646.14297512263271
0.52113.1206610702286.3422211383442
0.53114.2869600008746.50002171350221
0.54115.4916874625716.64480920182668
0.55116.7379949232776.81458644027941
0.56118.0355537381397.05410663303112
0.57119.4008311453367.40784061321995
0.58120.8564103852447.91308690768366
0.59122.4292952961618.59083428642365
0.6124.1482793343789.4405574887311
0.61126.04061257058510.4383374733871
0.62128.12834660106611.5377920872610
0.63130.42484947721712.6748288603805
0.64132.9320325459113.7744187562424
0.65135.63879663296014.7588920490401
0.66138.52107881111515.5565801215284
0.67141.54367550831116.1122122681052
0.68144.66376512498116.3944328485341
0.69147.83579842977116.4004855567805
0.7151.01721262697116.1599106155227
0.71154.17428661987815.7315569621385
0.72157.28740045124715.2002464717377
0.73160.35498078278414.6686489937847
0.74163.39548776880514.2483582441952
0.75166.44691679942314.0456803808526
0.76169.56346335063414.1444019672808
0.77172.80926358391614.5862121809853
0.78176.24951115440215.3534780333850
0.79179.93976214391416.3659284050534
0.8183.91480957548417.4877588680790
0.81188.17899640512618.5480853239424
0.82192.70005565438519.3650216432409
0.83197.40835043888819.7746988265649
0.84202.20265435821719.6596500708065
0.85206.96241073294918.9722359486406
0.86211.56490350821217.7467194145740
0.87215.90421530930116.0978382870505
0.88219.90757467714814.2036109073123
0.89223.54418276246712.2716647617013
0.9226.82252013051810.4931332379294
0.91229.7751156116968.98554615864553
0.92232.4348136414727.74373879352849
0.93234.8121364635526.64090828320329
0.94236.8858909470815.51174071168517
0.95238.6147338323504.27297293596956
0.96239.9653078273982.99067000057727
0.97240.9391940447971.83860813156185
0.98241.5783614140330.972798532949144
0.99241.9451180977540.431715027697237

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.0746863538667 & 1.04990431511900 \tabularnewline
0.02 & 95.635701389857 & 0.981923171963378 \tabularnewline
0.03 & 96.1917003551651 & 0.857079885139392 \tabularnewline
0.04 & 96.6492298879305 & 0.70181910658441 \tabularnewline
0.05 & 96.9976317394827 & 0.569160597656812 \tabularnewline
0.06 & 97.2603477442543 & 0.482529811456708 \tabularnewline
0.07 & 97.464917938358 & 0.432419190941045 \tabularnewline
0.08 & 97.6322032643034 & 0.401249862543238 \tabularnewline
0.09 & 97.7754669617931 & 0.379375196661629 \tabularnewline
0.1 & 97.9027691405118 & 0.364697487068234 \tabularnewline
0.11 & 98.0194688691448 & 0.359096935067906 \tabularnewline
0.12 & 98.1297535936484 & 0.364589385012409 \tabularnewline
0.13 & 98.2372125805649 & 0.381199251979454 \tabularnewline
0.14 & 98.3448507691039 & 0.406577670661289 \tabularnewline
0.15 & 98.4549309375212 & 0.437264981801158 \tabularnewline
0.16 & 98.5688864609338 & 0.469675628841787 \tabularnewline
0.17 & 98.6873961249418 & 0.501428909028057 \tabularnewline
0.18 & 98.8106050253479 & 0.531429563620855 \tabularnewline
0.19 & 98.9384200916424 & 0.560308396663567 \tabularnewline
0.2 & 99.0707970675059 & 0.589389228911519 \tabularnewline
0.21 & 99.2079531076429 & 0.621339982022178 \tabularnewline
0.22 & 99.3504699408503 & 0.658256052296683 \tabularnewline
0.23 & 99.499284283322 & 0.701937219986926 \tabularnewline
0.24 & 99.6555870868272 & 0.75313757536313 \tabularnewline
0.25 & 99.8206680081635 & 0.811795630174047 \tabularnewline
0.26 & 99.9957461534296 & 0.876587857106153 \tabularnewline
0.27 & 100.181824449235 & 0.945676277726757 \tabularnewline
0.28 & 100.379595453495 & 1.01727067635486 \tabularnewline
0.29 & 100.589413806234 & 1.08898210708594 \tabularnewline
0.3 & 100.811337620845 & 1.1597005957589 \tabularnewline
0.31 & 101.045230522311 & 1.22872221174530 \tabularnewline
0.32 & 101.290909733110 & 1.29647181035390 \tabularnewline
0.33 & 101.548324366211 & 1.36412653063493 \tabularnewline
0.34 & 101.817750996495 & 1.43415340331325 \tabularnewline
0.35 & 102.099998056241 & 1.51024897160446 \tabularnewline
0.36 & 102.396613092798 & 1.59657766137310 \tabularnewline
0.37 & 102.710084290903 & 1.69929335338548 \tabularnewline
0.38 & 103.044018679174 & 1.82541259906643 \tabularnewline
0.39 & 103.403265895904 & 1.98315403623279 \tabularnewline
0.4 & 103.793943136480 & 2.18074589380143 \tabularnewline
0.41 & 104.223310684834 & 2.42530744935365 \tabularnewline
0.42 & 104.69945468906 & 2.72116805568979 \tabularnewline
0.43 & 105.230758200166 & 3.06828662821231 \tabularnewline
0.44 & 105.82518177047 & 3.46080303613666 \tabularnewline
0.45 & 106.489424462868 & 3.88726491489547 \tabularnewline
0.46 & 107.228083928755 & 4.33133614957163 \tabularnewline
0.47 & 108.042967492093 & 4.77302030117668 \tabularnewline
0.48 & 108.932713851183 & 5.19118081471404 \tabularnewline
0.49 & 109.892860908625 & 5.56688073680636 \tabularnewline
0.5 & 110.916440038862 & 5.88608877865741 \tabularnewline
0.51 & 111.995098370564 & 6.14297512263271 \tabularnewline
0.52 & 113.120661070228 & 6.3422211383442 \tabularnewline
0.53 & 114.286960000874 & 6.50002171350221 \tabularnewline
0.54 & 115.491687462571 & 6.64480920182668 \tabularnewline
0.55 & 116.737994923277 & 6.81458644027941 \tabularnewline
0.56 & 118.035553738139 & 7.05410663303112 \tabularnewline
0.57 & 119.400831145336 & 7.40784061321995 \tabularnewline
0.58 & 120.856410385244 & 7.91308690768366 \tabularnewline
0.59 & 122.429295296161 & 8.59083428642365 \tabularnewline
0.6 & 124.148279334378 & 9.4405574887311 \tabularnewline
0.61 & 126.040612570585 & 10.4383374733871 \tabularnewline
0.62 & 128.128346601066 & 11.5377920872610 \tabularnewline
0.63 & 130.424849477217 & 12.6748288603805 \tabularnewline
0.64 & 132.93203254591 & 13.7744187562424 \tabularnewline
0.65 & 135.638796632960 & 14.7588920490401 \tabularnewline
0.66 & 138.521078811115 & 15.5565801215284 \tabularnewline
0.67 & 141.543675508311 & 16.1122122681052 \tabularnewline
0.68 & 144.663765124981 & 16.3944328485341 \tabularnewline
0.69 & 147.835798429771 & 16.4004855567805 \tabularnewline
0.7 & 151.017212626971 & 16.1599106155227 \tabularnewline
0.71 & 154.174286619878 & 15.7315569621385 \tabularnewline
0.72 & 157.287400451247 & 15.2002464717377 \tabularnewline
0.73 & 160.354980782784 & 14.6686489937847 \tabularnewline
0.74 & 163.395487768805 & 14.2483582441952 \tabularnewline
0.75 & 166.446916799423 & 14.0456803808526 \tabularnewline
0.76 & 169.563463350634 & 14.1444019672808 \tabularnewline
0.77 & 172.809263583916 & 14.5862121809853 \tabularnewline
0.78 & 176.249511154402 & 15.3534780333850 \tabularnewline
0.79 & 179.939762143914 & 16.3659284050534 \tabularnewline
0.8 & 183.914809575484 & 17.4877588680790 \tabularnewline
0.81 & 188.178996405126 & 18.5480853239424 \tabularnewline
0.82 & 192.700055654385 & 19.3650216432409 \tabularnewline
0.83 & 197.408350438888 & 19.7746988265649 \tabularnewline
0.84 & 202.202654358217 & 19.6596500708065 \tabularnewline
0.85 & 206.962410732949 & 18.9722359486406 \tabularnewline
0.86 & 211.564903508212 & 17.7467194145740 \tabularnewline
0.87 & 215.904215309301 & 16.0978382870505 \tabularnewline
0.88 & 219.907574677148 & 14.2036109073123 \tabularnewline
0.89 & 223.544182762467 & 12.2716647617013 \tabularnewline
0.9 & 226.822520130518 & 10.4931332379294 \tabularnewline
0.91 & 229.775115611696 & 8.98554615864553 \tabularnewline
0.92 & 232.434813641472 & 7.74373879352849 \tabularnewline
0.93 & 234.812136463552 & 6.64090828320329 \tabularnewline
0.94 & 236.885890947081 & 5.51174071168517 \tabularnewline
0.95 & 238.614733832350 & 4.27297293596956 \tabularnewline
0.96 & 239.965307827398 & 2.99067000057727 \tabularnewline
0.97 & 240.939194044797 & 1.83860813156185 \tabularnewline
0.98 & 241.578361414033 & 0.972798532949144 \tabularnewline
0.99 & 241.945118097754 & 0.431715027697237 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9433&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]95.0746863538667[/C][C]1.04990431511900[/C][/ROW]
[ROW][C]0.02[/C][C]95.635701389857[/C][C]0.981923171963378[/C][/ROW]
[ROW][C]0.03[/C][C]96.1917003551651[/C][C]0.857079885139392[/C][/ROW]
[ROW][C]0.04[/C][C]96.6492298879305[/C][C]0.70181910658441[/C][/ROW]
[ROW][C]0.05[/C][C]96.9976317394827[/C][C]0.569160597656812[/C][/ROW]
[ROW][C]0.06[/C][C]97.2603477442543[/C][C]0.482529811456708[/C][/ROW]
[ROW][C]0.07[/C][C]97.464917938358[/C][C]0.432419190941045[/C][/ROW]
[ROW][C]0.08[/C][C]97.6322032643034[/C][C]0.401249862543238[/C][/ROW]
[ROW][C]0.09[/C][C]97.7754669617931[/C][C]0.379375196661629[/C][/ROW]
[ROW][C]0.1[/C][C]97.9027691405118[/C][C]0.364697487068234[/C][/ROW]
[ROW][C]0.11[/C][C]98.0194688691448[/C][C]0.359096935067906[/C][/ROW]
[ROW][C]0.12[/C][C]98.1297535936484[/C][C]0.364589385012409[/C][/ROW]
[ROW][C]0.13[/C][C]98.2372125805649[/C][C]0.381199251979454[/C][/ROW]
[ROW][C]0.14[/C][C]98.3448507691039[/C][C]0.406577670661289[/C][/ROW]
[ROW][C]0.15[/C][C]98.4549309375212[/C][C]0.437264981801158[/C][/ROW]
[ROW][C]0.16[/C][C]98.5688864609338[/C][C]0.469675628841787[/C][/ROW]
[ROW][C]0.17[/C][C]98.6873961249418[/C][C]0.501428909028057[/C][/ROW]
[ROW][C]0.18[/C][C]98.8106050253479[/C][C]0.531429563620855[/C][/ROW]
[ROW][C]0.19[/C][C]98.9384200916424[/C][C]0.560308396663567[/C][/ROW]
[ROW][C]0.2[/C][C]99.0707970675059[/C][C]0.589389228911519[/C][/ROW]
[ROW][C]0.21[/C][C]99.2079531076429[/C][C]0.621339982022178[/C][/ROW]
[ROW][C]0.22[/C][C]99.3504699408503[/C][C]0.658256052296683[/C][/ROW]
[ROW][C]0.23[/C][C]99.499284283322[/C][C]0.701937219986926[/C][/ROW]
[ROW][C]0.24[/C][C]99.6555870868272[/C][C]0.75313757536313[/C][/ROW]
[ROW][C]0.25[/C][C]99.8206680081635[/C][C]0.811795630174047[/C][/ROW]
[ROW][C]0.26[/C][C]99.9957461534296[/C][C]0.876587857106153[/C][/ROW]
[ROW][C]0.27[/C][C]100.181824449235[/C][C]0.945676277726757[/C][/ROW]
[ROW][C]0.28[/C][C]100.379595453495[/C][C]1.01727067635486[/C][/ROW]
[ROW][C]0.29[/C][C]100.589413806234[/C][C]1.08898210708594[/C][/ROW]
[ROW][C]0.3[/C][C]100.811337620845[/C][C]1.1597005957589[/C][/ROW]
[ROW][C]0.31[/C][C]101.045230522311[/C][C]1.22872221174530[/C][/ROW]
[ROW][C]0.32[/C][C]101.290909733110[/C][C]1.29647181035390[/C][/ROW]
[ROW][C]0.33[/C][C]101.548324366211[/C][C]1.36412653063493[/C][/ROW]
[ROW][C]0.34[/C][C]101.817750996495[/C][C]1.43415340331325[/C][/ROW]
[ROW][C]0.35[/C][C]102.099998056241[/C][C]1.51024897160446[/C][/ROW]
[ROW][C]0.36[/C][C]102.396613092798[/C][C]1.59657766137310[/C][/ROW]
[ROW][C]0.37[/C][C]102.710084290903[/C][C]1.69929335338548[/C][/ROW]
[ROW][C]0.38[/C][C]103.044018679174[/C][C]1.82541259906643[/C][/ROW]
[ROW][C]0.39[/C][C]103.403265895904[/C][C]1.98315403623279[/C][/ROW]
[ROW][C]0.4[/C][C]103.793943136480[/C][C]2.18074589380143[/C][/ROW]
[ROW][C]0.41[/C][C]104.223310684834[/C][C]2.42530744935365[/C][/ROW]
[ROW][C]0.42[/C][C]104.69945468906[/C][C]2.72116805568979[/C][/ROW]
[ROW][C]0.43[/C][C]105.230758200166[/C][C]3.06828662821231[/C][/ROW]
[ROW][C]0.44[/C][C]105.82518177047[/C][C]3.46080303613666[/C][/ROW]
[ROW][C]0.45[/C][C]106.489424462868[/C][C]3.88726491489547[/C][/ROW]
[ROW][C]0.46[/C][C]107.228083928755[/C][C]4.33133614957163[/C][/ROW]
[ROW][C]0.47[/C][C]108.042967492093[/C][C]4.77302030117668[/C][/ROW]
[ROW][C]0.48[/C][C]108.932713851183[/C][C]5.19118081471404[/C][/ROW]
[ROW][C]0.49[/C][C]109.892860908625[/C][C]5.56688073680636[/C][/ROW]
[ROW][C]0.5[/C][C]110.916440038862[/C][C]5.88608877865741[/C][/ROW]
[ROW][C]0.51[/C][C]111.995098370564[/C][C]6.14297512263271[/C][/ROW]
[ROW][C]0.52[/C][C]113.120661070228[/C][C]6.3422211383442[/C][/ROW]
[ROW][C]0.53[/C][C]114.286960000874[/C][C]6.50002171350221[/C][/ROW]
[ROW][C]0.54[/C][C]115.491687462571[/C][C]6.64480920182668[/C][/ROW]
[ROW][C]0.55[/C][C]116.737994923277[/C][C]6.81458644027941[/C][/ROW]
[ROW][C]0.56[/C][C]118.035553738139[/C][C]7.05410663303112[/C][/ROW]
[ROW][C]0.57[/C][C]119.400831145336[/C][C]7.40784061321995[/C][/ROW]
[ROW][C]0.58[/C][C]120.856410385244[/C][C]7.91308690768366[/C][/ROW]
[ROW][C]0.59[/C][C]122.429295296161[/C][C]8.59083428642365[/C][/ROW]
[ROW][C]0.6[/C][C]124.148279334378[/C][C]9.4405574887311[/C][/ROW]
[ROW][C]0.61[/C][C]126.040612570585[/C][C]10.4383374733871[/C][/ROW]
[ROW][C]0.62[/C][C]128.128346601066[/C][C]11.5377920872610[/C][/ROW]
[ROW][C]0.63[/C][C]130.424849477217[/C][C]12.6748288603805[/C][/ROW]
[ROW][C]0.64[/C][C]132.93203254591[/C][C]13.7744187562424[/C][/ROW]
[ROW][C]0.65[/C][C]135.638796632960[/C][C]14.7588920490401[/C][/ROW]
[ROW][C]0.66[/C][C]138.521078811115[/C][C]15.5565801215284[/C][/ROW]
[ROW][C]0.67[/C][C]141.543675508311[/C][C]16.1122122681052[/C][/ROW]
[ROW][C]0.68[/C][C]144.663765124981[/C][C]16.3944328485341[/C][/ROW]
[ROW][C]0.69[/C][C]147.835798429771[/C][C]16.4004855567805[/C][/ROW]
[ROW][C]0.7[/C][C]151.017212626971[/C][C]16.1599106155227[/C][/ROW]
[ROW][C]0.71[/C][C]154.174286619878[/C][C]15.7315569621385[/C][/ROW]
[ROW][C]0.72[/C][C]157.287400451247[/C][C]15.2002464717377[/C][/ROW]
[ROW][C]0.73[/C][C]160.354980782784[/C][C]14.6686489937847[/C][/ROW]
[ROW][C]0.74[/C][C]163.395487768805[/C][C]14.2483582441952[/C][/ROW]
[ROW][C]0.75[/C][C]166.446916799423[/C][C]14.0456803808526[/C][/ROW]
[ROW][C]0.76[/C][C]169.563463350634[/C][C]14.1444019672808[/C][/ROW]
[ROW][C]0.77[/C][C]172.809263583916[/C][C]14.5862121809853[/C][/ROW]
[ROW][C]0.78[/C][C]176.249511154402[/C][C]15.3534780333850[/C][/ROW]
[ROW][C]0.79[/C][C]179.939762143914[/C][C]16.3659284050534[/C][/ROW]
[ROW][C]0.8[/C][C]183.914809575484[/C][C]17.4877588680790[/C][/ROW]
[ROW][C]0.81[/C][C]188.178996405126[/C][C]18.5480853239424[/C][/ROW]
[ROW][C]0.82[/C][C]192.700055654385[/C][C]19.3650216432409[/C][/ROW]
[ROW][C]0.83[/C][C]197.408350438888[/C][C]19.7746988265649[/C][/ROW]
[ROW][C]0.84[/C][C]202.202654358217[/C][C]19.6596500708065[/C][/ROW]
[ROW][C]0.85[/C][C]206.962410732949[/C][C]18.9722359486406[/C][/ROW]
[ROW][C]0.86[/C][C]211.564903508212[/C][C]17.7467194145740[/C][/ROW]
[ROW][C]0.87[/C][C]215.904215309301[/C][C]16.0978382870505[/C][/ROW]
[ROW][C]0.88[/C][C]219.907574677148[/C][C]14.2036109073123[/C][/ROW]
[ROW][C]0.89[/C][C]223.544182762467[/C][C]12.2716647617013[/C][/ROW]
[ROW][C]0.9[/C][C]226.822520130518[/C][C]10.4931332379294[/C][/ROW]
[ROW][C]0.91[/C][C]229.775115611696[/C][C]8.98554615864553[/C][/ROW]
[ROW][C]0.92[/C][C]232.434813641472[/C][C]7.74373879352849[/C][/ROW]
[ROW][C]0.93[/C][C]234.812136463552[/C][C]6.64090828320329[/C][/ROW]
[ROW][C]0.94[/C][C]236.885890947081[/C][C]5.51174071168517[/C][/ROW]
[ROW][C]0.95[/C][C]238.614733832350[/C][C]4.27297293596956[/C][/ROW]
[ROW][C]0.96[/C][C]239.965307827398[/C][C]2.99067000057727[/C][/ROW]
[ROW][C]0.97[/C][C]240.939194044797[/C][C]1.83860813156185[/C][/ROW]
[ROW][C]0.98[/C][C]241.578361414033[/C][C]0.972798532949144[/C][/ROW]
[ROW][C]0.99[/C][C]241.945118097754[/C][C]0.431715027697237[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9433&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9433&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
0.0195.07468635386671.04990431511900
0.0295.6357013898570.981923171963378
0.0396.19170035516510.857079885139392
0.0496.64922988793050.70181910658441
0.0596.99763173948270.569160597656812
0.0697.26034774425430.482529811456708
0.0797.4649179383580.432419190941045
0.0897.63220326430340.401249862543238
0.0997.77546696179310.379375196661629
0.197.90276914051180.364697487068234
0.1198.01946886914480.359096935067906
0.1298.12975359364840.364589385012409
0.1398.23721258056490.381199251979454
0.1498.34485076910390.406577670661289
0.1598.45493093752120.437264981801158
0.1698.56888646093380.469675628841787
0.1798.68739612494180.501428909028057
0.1898.81060502534790.531429563620855
0.1998.93842009164240.560308396663567
0.299.07079706750590.589389228911519
0.2199.20795310764290.621339982022178
0.2299.35046994085030.658256052296683
0.2399.4992842833220.701937219986926
0.2499.65558708682720.75313757536313
0.2599.82066800816350.811795630174047
0.2699.99574615342960.876587857106153
0.27100.1818244492350.945676277726757
0.28100.3795954534951.01727067635486
0.29100.5894138062341.08898210708594
0.3100.8113376208451.1597005957589
0.31101.0452305223111.22872221174530
0.32101.2909097331101.29647181035390
0.33101.5483243662111.36412653063493
0.34101.8177509964951.43415340331325
0.35102.0999980562411.51024897160446
0.36102.3966130927981.59657766137310
0.37102.7100842909031.69929335338548
0.38103.0440186791741.82541259906643
0.39103.4032658959041.98315403623279
0.4103.7939431364802.18074589380143
0.41104.2233106848342.42530744935365
0.42104.699454689062.72116805568979
0.43105.2307582001663.06828662821231
0.44105.825181770473.46080303613666
0.45106.4894244628683.88726491489547
0.46107.2280839287554.33133614957163
0.47108.0429674920934.77302030117668
0.48108.9327138511835.19118081471404
0.49109.8928609086255.56688073680636
0.5110.9164400388625.88608877865741
0.51111.9950983705646.14297512263271
0.52113.1206610702286.3422211383442
0.53114.2869600008746.50002171350221
0.54115.4916874625716.64480920182668
0.55116.7379949232776.81458644027941
0.56118.0355537381397.05410663303112
0.57119.4008311453367.40784061321995
0.58120.8564103852447.91308690768366
0.59122.4292952961618.59083428642365
0.6124.1482793343789.4405574887311
0.61126.04061257058510.4383374733871
0.62128.12834660106611.5377920872610
0.63130.42484947721712.6748288603805
0.64132.9320325459113.7744187562424
0.65135.63879663296014.7588920490401
0.66138.52107881111515.5565801215284
0.67141.54367550831116.1122122681052
0.68144.66376512498116.3944328485341
0.69147.83579842977116.4004855567805
0.7151.01721262697116.1599106155227
0.71154.17428661987815.7315569621385
0.72157.28740045124715.2002464717377
0.73160.35498078278414.6686489937847
0.74163.39548776880514.2483582441952
0.75166.44691679942314.0456803808526
0.76169.56346335063414.1444019672808
0.77172.80926358391614.5862121809853
0.78176.24951115440215.3534780333850
0.79179.93976214391416.3659284050534
0.8183.91480957548417.4877588680790
0.81188.17899640512618.5480853239424
0.82192.70005565438519.3650216432409
0.83197.40835043888819.7746988265649
0.84202.20265435821719.6596500708065
0.85206.96241073294918.9722359486406
0.86211.56490350821217.7467194145740
0.87215.90421530930116.0978382870505
0.88219.90757467714814.2036109073123
0.89223.54418276246712.2716647617013
0.9226.82252013051810.4931332379294
0.91229.7751156116968.98554615864553
0.92232.4348136414727.74373879352849
0.93234.8121364635526.64090828320329
0.94236.8858909470815.51174071168517
0.95238.6147338323504.27297293596956
0.96239.9653078273982.99067000057727
0.97240.9391940447971.83860813156185
0.98241.5783614140330.972798532949144
0.99241.9451180977540.431715027697237


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')