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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, 11 Feb 2015 20:24:28 +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/2015/Feb/11/t1423686820s9dvuc4mto9gs8p.htm/, Retrieved Sun, 19 May 2024 03:21:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277061, Retrieved Sun, 19 May 2024 03:21:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

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] [] [2015-02-11 20:24:28] [4fa22ecf638daf61dea82ccfb30e12bf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2201
1239
966
1001
1079
909
1038
817
817
926
555
156
1604
610
635
623
744
939
993
634
858
849
458
109
1538
739
855
834
1004
1355
968
811
1121
960
973
233
1662
894
966
859
946
1156
895
952
1078
689
621
587
1425
1022
1406
776
1105
2244
679
665
704
449
560
229
1158
908
1104
731
989
1308
757
896
917
844
815
401

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277061&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277061&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277061&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01128.11465579364852.568887684431
0.02161.04374632355466.0636292133283
0.03201.4741650671982.9167132444031
0.04245.6080609328999.4688179564941
0.05291.484650765941111.783820684655
0.06337.42359910775116.915773987558
0.07381.621504350361114.802452095669
0.08422.501360096636107.652756474742
0.09459.07717399929198.1175640604953
0.1491.02327148260588.0427031501929
0.11518.50963197574678.3069808992801
0.12541.97822580357669.2591055737804
0.13561.97670963160661.1234939669165
0.14579.07302822120754.1500618433649
0.15593.82274225001548.5821490678853
0.16606.75515543745844.578381429611
0.17618.35966970580242.1503765658489
0.18629.06905928785541.1452845730113
0.19639.24376519892741.2749892427967
0.2649.16205890535542.1890066380424
0.21659.01861517749943.5384151198828
0.22668.93131718708245.0331677860782
0.23678.95416405655446.4592662515215
0.24689.09322819773947.6845278463277
0.25699.32261034949248.637923346803
0.26709.59802405646249.2982258888274
0.27719.86670638654249.663722561835
0.28730.07347852421149.7419120132422
0.29740.16369114729549.5367650206575
0.3750.08430619105349.0434863199876
0.31759.78443660097748.2566238441041
0.32769.2163568067847.1781992652174
0.33778.33746125598345.8294644956431
0.34787.11307231912344.2545561417568
0.35795.51954915417642.5225203348631
0.36803.54693248280240.7234425918049
0.37811.20040327506138.9559938991457
0.38818.50008740171537.3136466903924
0.39825.47910541326535.8745877390669
0.4832.18013556274334.6914219657689
0.41838.65103772591133.7812924497984
0.42844.94022453057433.1334127744894
0.43851.09245551204732.7097524256638
0.44857.14559574637632.4547612290147
0.45863.12866586153732.3078484117457
0.46869.06126407961332.2077495537407
0.47874.95420784142232.1062771932526
0.48880.81106000237531.9680187925661
0.49886.63010053149631.7744207418444
0.5892.40629493979431.5212858073578
0.51898.13289524750431.2126135129916
0.52903.80246929879630.8541944686391
0.53909.40735283882530.450692772013
0.54914.93970773928230.0014668318031
0.55920.39150092168529.5035813114943
0.56925.7547571137528.9489472203928
0.57931.02237387954228.3379816676986
0.58936.18963674267527.6790266590637
0.59941.25637656657426.997282798037
0.6946.22952312509226.3357422131829
0.61951.12567623609425.755656823369
0.62955.97326846478225.3297643245346
0.63960.81393372454425.1376562209223
0.64965.70280066816425.2572410483811
0.65970.70756001130625.7552912142718
0.66975.90627457641826.6773664750062
0.67981.38399362551528.0453184531066
0.68987.22831309867729.8489475309733
0.69993.52413162313532.0491621159092
0.71000.3480364722534.5754168172606
0.711007.7630371737337.3271556332317
0.721015.8147135547340.1814149753568
0.731024.5301521146443.012877441006
0.741033.9211392854145.7086323001138
0.751043.992772859648.2085176914318
0.761054.7578039833350.5314966699233
0.771066.255617525752.7988720316502
0.781078.5729702750155.2551666737264
0.791091.8618195810258.2354838238006
0.81106.3483708916262.1144225284211
0.811122.3275527091367.2031409175781
0.821140.1391562230973.6301556124138
0.831160.1262094440381.2537819253046
0.841182.5824520065889.6287082288431
0.851207.7026193763298.0685349623278
0.861235.55409329299105.788794159423
0.871266.08851565941112.114951815717
0.881299.2063710558116.718184639375
0.891334.88076608119119.790607286921
0.91373.34973425909122.106794167558
0.911415.40912381727124.99562294239
0.921462.86199082558130.488590186928
0.931519.11587897805142.080318658269
0.941589.60041595211165.589221725989
0.951681.02782814957206.369868798759
0.961797.99662375621258.759071142986
0.971936.42400601107294.067798241752
0.982077.19931018122266.21641771348
0.992188.52053513954156.536910168369

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 128.114655793648 & 52.568887684431 \tabularnewline
0.02 & 161.043746323554 & 66.0636292133283 \tabularnewline
0.03 & 201.47416506719 & 82.9167132444031 \tabularnewline
0.04 & 245.60806093289 & 99.4688179564941 \tabularnewline
0.05 & 291.484650765941 & 111.783820684655 \tabularnewline
0.06 & 337.42359910775 & 116.915773987558 \tabularnewline
0.07 & 381.621504350361 & 114.802452095669 \tabularnewline
0.08 & 422.501360096636 & 107.652756474742 \tabularnewline
0.09 & 459.077173999291 & 98.1175640604953 \tabularnewline
0.1 & 491.023271482605 & 88.0427031501929 \tabularnewline
0.11 & 518.509631975746 & 78.3069808992801 \tabularnewline
0.12 & 541.978225803576 & 69.2591055737804 \tabularnewline
0.13 & 561.976709631606 & 61.1234939669165 \tabularnewline
0.14 & 579.073028221207 & 54.1500618433649 \tabularnewline
0.15 & 593.822742250015 & 48.5821490678853 \tabularnewline
0.16 & 606.755155437458 & 44.578381429611 \tabularnewline
0.17 & 618.359669705802 & 42.1503765658489 \tabularnewline
0.18 & 629.069059287855 & 41.1452845730113 \tabularnewline
0.19 & 639.243765198927 & 41.2749892427967 \tabularnewline
0.2 & 649.162058905355 & 42.1890066380424 \tabularnewline
0.21 & 659.018615177499 & 43.5384151198828 \tabularnewline
0.22 & 668.931317187082 & 45.0331677860782 \tabularnewline
0.23 & 678.954164056554 & 46.4592662515215 \tabularnewline
0.24 & 689.093228197739 & 47.6845278463277 \tabularnewline
0.25 & 699.322610349492 & 48.637923346803 \tabularnewline
0.26 & 709.598024056462 & 49.2982258888274 \tabularnewline
0.27 & 719.866706386542 & 49.663722561835 \tabularnewline
0.28 & 730.073478524211 & 49.7419120132422 \tabularnewline
0.29 & 740.163691147295 & 49.5367650206575 \tabularnewline
0.3 & 750.084306191053 & 49.0434863199876 \tabularnewline
0.31 & 759.784436600977 & 48.2566238441041 \tabularnewline
0.32 & 769.21635680678 & 47.1781992652174 \tabularnewline
0.33 & 778.337461255983 & 45.8294644956431 \tabularnewline
0.34 & 787.113072319123 & 44.2545561417568 \tabularnewline
0.35 & 795.519549154176 & 42.5225203348631 \tabularnewline
0.36 & 803.546932482802 & 40.7234425918049 \tabularnewline
0.37 & 811.200403275061 & 38.9559938991457 \tabularnewline
0.38 & 818.500087401715 & 37.3136466903924 \tabularnewline
0.39 & 825.479105413265 & 35.8745877390669 \tabularnewline
0.4 & 832.180135562743 & 34.6914219657689 \tabularnewline
0.41 & 838.651037725911 & 33.7812924497984 \tabularnewline
0.42 & 844.940224530574 & 33.1334127744894 \tabularnewline
0.43 & 851.092455512047 & 32.7097524256638 \tabularnewline
0.44 & 857.145595746376 & 32.4547612290147 \tabularnewline
0.45 & 863.128665861537 & 32.3078484117457 \tabularnewline
0.46 & 869.061264079613 & 32.2077495537407 \tabularnewline
0.47 & 874.954207841422 & 32.1062771932526 \tabularnewline
0.48 & 880.811060002375 & 31.9680187925661 \tabularnewline
0.49 & 886.630100531496 & 31.7744207418444 \tabularnewline
0.5 & 892.406294939794 & 31.5212858073578 \tabularnewline
0.51 & 898.132895247504 & 31.2126135129916 \tabularnewline
0.52 & 903.802469298796 & 30.8541944686391 \tabularnewline
0.53 & 909.407352838825 & 30.450692772013 \tabularnewline
0.54 & 914.939707739282 & 30.0014668318031 \tabularnewline
0.55 & 920.391500921685 & 29.5035813114943 \tabularnewline
0.56 & 925.75475711375 & 28.9489472203928 \tabularnewline
0.57 & 931.022373879542 & 28.3379816676986 \tabularnewline
0.58 & 936.189636742675 & 27.6790266590637 \tabularnewline
0.59 & 941.256376566574 & 26.997282798037 \tabularnewline
0.6 & 946.229523125092 & 26.3357422131829 \tabularnewline
0.61 & 951.125676236094 & 25.755656823369 \tabularnewline
0.62 & 955.973268464782 & 25.3297643245346 \tabularnewline
0.63 & 960.813933724544 & 25.1376562209223 \tabularnewline
0.64 & 965.702800668164 & 25.2572410483811 \tabularnewline
0.65 & 970.707560011306 & 25.7552912142718 \tabularnewline
0.66 & 975.906274576418 & 26.6773664750062 \tabularnewline
0.67 & 981.383993625515 & 28.0453184531066 \tabularnewline
0.68 & 987.228313098677 & 29.8489475309733 \tabularnewline
0.69 & 993.524131623135 & 32.0491621159092 \tabularnewline
0.7 & 1000.34803647225 & 34.5754168172606 \tabularnewline
0.71 & 1007.76303717373 & 37.3271556332317 \tabularnewline
0.72 & 1015.81471355473 & 40.1814149753568 \tabularnewline
0.73 & 1024.53015211464 & 43.012877441006 \tabularnewline
0.74 & 1033.92113928541 & 45.7086323001138 \tabularnewline
0.75 & 1043.9927728596 & 48.2085176914318 \tabularnewline
0.76 & 1054.75780398333 & 50.5314966699233 \tabularnewline
0.77 & 1066.2556175257 & 52.7988720316502 \tabularnewline
0.78 & 1078.57297027501 & 55.2551666737264 \tabularnewline
0.79 & 1091.86181958102 & 58.2354838238006 \tabularnewline
0.8 & 1106.34837089162 & 62.1144225284211 \tabularnewline
0.81 & 1122.32755270913 & 67.2031409175781 \tabularnewline
0.82 & 1140.13915622309 & 73.6301556124138 \tabularnewline
0.83 & 1160.12620944403 & 81.2537819253046 \tabularnewline
0.84 & 1182.58245200658 & 89.6287082288431 \tabularnewline
0.85 & 1207.70261937632 & 98.0685349623278 \tabularnewline
0.86 & 1235.55409329299 & 105.788794159423 \tabularnewline
0.87 & 1266.08851565941 & 112.114951815717 \tabularnewline
0.88 & 1299.2063710558 & 116.718184639375 \tabularnewline
0.89 & 1334.88076608119 & 119.790607286921 \tabularnewline
0.9 & 1373.34973425909 & 122.106794167558 \tabularnewline
0.91 & 1415.40912381727 & 124.99562294239 \tabularnewline
0.92 & 1462.86199082558 & 130.488590186928 \tabularnewline
0.93 & 1519.11587897805 & 142.080318658269 \tabularnewline
0.94 & 1589.60041595211 & 165.589221725989 \tabularnewline
0.95 & 1681.02782814957 & 206.369868798759 \tabularnewline
0.96 & 1797.99662375621 & 258.759071142986 \tabularnewline
0.97 & 1936.42400601107 & 294.067798241752 \tabularnewline
0.98 & 2077.19931018122 & 266.21641771348 \tabularnewline
0.99 & 2188.52053513954 & 156.536910168369 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277061&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]128.114655793648[/C][C]52.568887684431[/C][/ROW]
[ROW][C]0.02[/C][C]161.043746323554[/C][C]66.0636292133283[/C][/ROW]
[ROW][C]0.03[/C][C]201.47416506719[/C][C]82.9167132444031[/C][/ROW]
[ROW][C]0.04[/C][C]245.60806093289[/C][C]99.4688179564941[/C][/ROW]
[ROW][C]0.05[/C][C]291.484650765941[/C][C]111.783820684655[/C][/ROW]
[ROW][C]0.06[/C][C]337.42359910775[/C][C]116.915773987558[/C][/ROW]
[ROW][C]0.07[/C][C]381.621504350361[/C][C]114.802452095669[/C][/ROW]
[ROW][C]0.08[/C][C]422.501360096636[/C][C]107.652756474742[/C][/ROW]
[ROW][C]0.09[/C][C]459.077173999291[/C][C]98.1175640604953[/C][/ROW]
[ROW][C]0.1[/C][C]491.023271482605[/C][C]88.0427031501929[/C][/ROW]
[ROW][C]0.11[/C][C]518.509631975746[/C][C]78.3069808992801[/C][/ROW]
[ROW][C]0.12[/C][C]541.978225803576[/C][C]69.2591055737804[/C][/ROW]
[ROW][C]0.13[/C][C]561.976709631606[/C][C]61.1234939669165[/C][/ROW]
[ROW][C]0.14[/C][C]579.073028221207[/C][C]54.1500618433649[/C][/ROW]
[ROW][C]0.15[/C][C]593.822742250015[/C][C]48.5821490678853[/C][/ROW]
[ROW][C]0.16[/C][C]606.755155437458[/C][C]44.578381429611[/C][/ROW]
[ROW][C]0.17[/C][C]618.359669705802[/C][C]42.1503765658489[/C][/ROW]
[ROW][C]0.18[/C][C]629.069059287855[/C][C]41.1452845730113[/C][/ROW]
[ROW][C]0.19[/C][C]639.243765198927[/C][C]41.2749892427967[/C][/ROW]
[ROW][C]0.2[/C][C]649.162058905355[/C][C]42.1890066380424[/C][/ROW]
[ROW][C]0.21[/C][C]659.018615177499[/C][C]43.5384151198828[/C][/ROW]
[ROW][C]0.22[/C][C]668.931317187082[/C][C]45.0331677860782[/C][/ROW]
[ROW][C]0.23[/C][C]678.954164056554[/C][C]46.4592662515215[/C][/ROW]
[ROW][C]0.24[/C][C]689.093228197739[/C][C]47.6845278463277[/C][/ROW]
[ROW][C]0.25[/C][C]699.322610349492[/C][C]48.637923346803[/C][/ROW]
[ROW][C]0.26[/C][C]709.598024056462[/C][C]49.2982258888274[/C][/ROW]
[ROW][C]0.27[/C][C]719.866706386542[/C][C]49.663722561835[/C][/ROW]
[ROW][C]0.28[/C][C]730.073478524211[/C][C]49.7419120132422[/C][/ROW]
[ROW][C]0.29[/C][C]740.163691147295[/C][C]49.5367650206575[/C][/ROW]
[ROW][C]0.3[/C][C]750.084306191053[/C][C]49.0434863199876[/C][/ROW]
[ROW][C]0.31[/C][C]759.784436600977[/C][C]48.2566238441041[/C][/ROW]
[ROW][C]0.32[/C][C]769.21635680678[/C][C]47.1781992652174[/C][/ROW]
[ROW][C]0.33[/C][C]778.337461255983[/C][C]45.8294644956431[/C][/ROW]
[ROW][C]0.34[/C][C]787.113072319123[/C][C]44.2545561417568[/C][/ROW]
[ROW][C]0.35[/C][C]795.519549154176[/C][C]42.5225203348631[/C][/ROW]
[ROW][C]0.36[/C][C]803.546932482802[/C][C]40.7234425918049[/C][/ROW]
[ROW][C]0.37[/C][C]811.200403275061[/C][C]38.9559938991457[/C][/ROW]
[ROW][C]0.38[/C][C]818.500087401715[/C][C]37.3136466903924[/C][/ROW]
[ROW][C]0.39[/C][C]825.479105413265[/C][C]35.8745877390669[/C][/ROW]
[ROW][C]0.4[/C][C]832.180135562743[/C][C]34.6914219657689[/C][/ROW]
[ROW][C]0.41[/C][C]838.651037725911[/C][C]33.7812924497984[/C][/ROW]
[ROW][C]0.42[/C][C]844.940224530574[/C][C]33.1334127744894[/C][/ROW]
[ROW][C]0.43[/C][C]851.092455512047[/C][C]32.7097524256638[/C][/ROW]
[ROW][C]0.44[/C][C]857.145595746376[/C][C]32.4547612290147[/C][/ROW]
[ROW][C]0.45[/C][C]863.128665861537[/C][C]32.3078484117457[/C][/ROW]
[ROW][C]0.46[/C][C]869.061264079613[/C][C]32.2077495537407[/C][/ROW]
[ROW][C]0.47[/C][C]874.954207841422[/C][C]32.1062771932526[/C][/ROW]
[ROW][C]0.48[/C][C]880.811060002375[/C][C]31.9680187925661[/C][/ROW]
[ROW][C]0.49[/C][C]886.630100531496[/C][C]31.7744207418444[/C][/ROW]
[ROW][C]0.5[/C][C]892.406294939794[/C][C]31.5212858073578[/C][/ROW]
[ROW][C]0.51[/C][C]898.132895247504[/C][C]31.2126135129916[/C][/ROW]
[ROW][C]0.52[/C][C]903.802469298796[/C][C]30.8541944686391[/C][/ROW]
[ROW][C]0.53[/C][C]909.407352838825[/C][C]30.450692772013[/C][/ROW]
[ROW][C]0.54[/C][C]914.939707739282[/C][C]30.0014668318031[/C][/ROW]
[ROW][C]0.55[/C][C]920.391500921685[/C][C]29.5035813114943[/C][/ROW]
[ROW][C]0.56[/C][C]925.75475711375[/C][C]28.9489472203928[/C][/ROW]
[ROW][C]0.57[/C][C]931.022373879542[/C][C]28.3379816676986[/C][/ROW]
[ROW][C]0.58[/C][C]936.189636742675[/C][C]27.6790266590637[/C][/ROW]
[ROW][C]0.59[/C][C]941.256376566574[/C][C]26.997282798037[/C][/ROW]
[ROW][C]0.6[/C][C]946.229523125092[/C][C]26.3357422131829[/C][/ROW]
[ROW][C]0.61[/C][C]951.125676236094[/C][C]25.755656823369[/C][/ROW]
[ROW][C]0.62[/C][C]955.973268464782[/C][C]25.3297643245346[/C][/ROW]
[ROW][C]0.63[/C][C]960.813933724544[/C][C]25.1376562209223[/C][/ROW]
[ROW][C]0.64[/C][C]965.702800668164[/C][C]25.2572410483811[/C][/ROW]
[ROW][C]0.65[/C][C]970.707560011306[/C][C]25.7552912142718[/C][/ROW]
[ROW][C]0.66[/C][C]975.906274576418[/C][C]26.6773664750062[/C][/ROW]
[ROW][C]0.67[/C][C]981.383993625515[/C][C]28.0453184531066[/C][/ROW]
[ROW][C]0.68[/C][C]987.228313098677[/C][C]29.8489475309733[/C][/ROW]
[ROW][C]0.69[/C][C]993.524131623135[/C][C]32.0491621159092[/C][/ROW]
[ROW][C]0.7[/C][C]1000.34803647225[/C][C]34.5754168172606[/C][/ROW]
[ROW][C]0.71[/C][C]1007.76303717373[/C][C]37.3271556332317[/C][/ROW]
[ROW][C]0.72[/C][C]1015.81471355473[/C][C]40.1814149753568[/C][/ROW]
[ROW][C]0.73[/C][C]1024.53015211464[/C][C]43.012877441006[/C][/ROW]
[ROW][C]0.74[/C][C]1033.92113928541[/C][C]45.7086323001138[/C][/ROW]
[ROW][C]0.75[/C][C]1043.9927728596[/C][C]48.2085176914318[/C][/ROW]
[ROW][C]0.76[/C][C]1054.75780398333[/C][C]50.5314966699233[/C][/ROW]
[ROW][C]0.77[/C][C]1066.2556175257[/C][C]52.7988720316502[/C][/ROW]
[ROW][C]0.78[/C][C]1078.57297027501[/C][C]55.2551666737264[/C][/ROW]
[ROW][C]0.79[/C][C]1091.86181958102[/C][C]58.2354838238006[/C][/ROW]
[ROW][C]0.8[/C][C]1106.34837089162[/C][C]62.1144225284211[/C][/ROW]
[ROW][C]0.81[/C][C]1122.32755270913[/C][C]67.2031409175781[/C][/ROW]
[ROW][C]0.82[/C][C]1140.13915622309[/C][C]73.6301556124138[/C][/ROW]
[ROW][C]0.83[/C][C]1160.12620944403[/C][C]81.2537819253046[/C][/ROW]
[ROW][C]0.84[/C][C]1182.58245200658[/C][C]89.6287082288431[/C][/ROW]
[ROW][C]0.85[/C][C]1207.70261937632[/C][C]98.0685349623278[/C][/ROW]
[ROW][C]0.86[/C][C]1235.55409329299[/C][C]105.788794159423[/C][/ROW]
[ROW][C]0.87[/C][C]1266.08851565941[/C][C]112.114951815717[/C][/ROW]
[ROW][C]0.88[/C][C]1299.2063710558[/C][C]116.718184639375[/C][/ROW]
[ROW][C]0.89[/C][C]1334.88076608119[/C][C]119.790607286921[/C][/ROW]
[ROW][C]0.9[/C][C]1373.34973425909[/C][C]122.106794167558[/C][/ROW]
[ROW][C]0.91[/C][C]1415.40912381727[/C][C]124.99562294239[/C][/ROW]
[ROW][C]0.92[/C][C]1462.86199082558[/C][C]130.488590186928[/C][/ROW]
[ROW][C]0.93[/C][C]1519.11587897805[/C][C]142.080318658269[/C][/ROW]
[ROW][C]0.94[/C][C]1589.60041595211[/C][C]165.589221725989[/C][/ROW]
[ROW][C]0.95[/C][C]1681.02782814957[/C][C]206.369868798759[/C][/ROW]
[ROW][C]0.96[/C][C]1797.99662375621[/C][C]258.759071142986[/C][/ROW]
[ROW][C]0.97[/C][C]1936.42400601107[/C][C]294.067798241752[/C][/ROW]
[ROW][C]0.98[/C][C]2077.19931018122[/C][C]266.21641771348[/C][/ROW]
[ROW][C]0.99[/C][C]2188.52053513954[/C][C]156.536910168369[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277061&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277061&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
0.01128.11465579364852.568887684431
0.02161.04374632355466.0636292133283
0.03201.4741650671982.9167132444031
0.04245.6080609328999.4688179564941
0.05291.484650765941111.783820684655
0.06337.42359910775116.915773987558
0.07381.621504350361114.802452095669
0.08422.501360096636107.652756474742
0.09459.07717399929198.1175640604953
0.1491.02327148260588.0427031501929
0.11518.50963197574678.3069808992801
0.12541.97822580357669.2591055737804
0.13561.97670963160661.1234939669165
0.14579.07302822120754.1500618433649
0.15593.82274225001548.5821490678853
0.16606.75515543745844.578381429611
0.17618.35966970580242.1503765658489
0.18629.06905928785541.1452845730113
0.19639.24376519892741.2749892427967
0.2649.16205890535542.1890066380424
0.21659.01861517749943.5384151198828
0.22668.93131718708245.0331677860782
0.23678.95416405655446.4592662515215
0.24689.09322819773947.6845278463277
0.25699.32261034949248.637923346803
0.26709.59802405646249.2982258888274
0.27719.86670638654249.663722561835
0.28730.07347852421149.7419120132422
0.29740.16369114729549.5367650206575
0.3750.08430619105349.0434863199876
0.31759.78443660097748.2566238441041
0.32769.2163568067847.1781992652174
0.33778.33746125598345.8294644956431
0.34787.11307231912344.2545561417568
0.35795.51954915417642.5225203348631
0.36803.54693248280240.7234425918049
0.37811.20040327506138.9559938991457
0.38818.50008740171537.3136466903924
0.39825.47910541326535.8745877390669
0.4832.18013556274334.6914219657689
0.41838.65103772591133.7812924497984
0.42844.94022453057433.1334127744894
0.43851.09245551204732.7097524256638
0.44857.14559574637632.4547612290147
0.45863.12866586153732.3078484117457
0.46869.06126407961332.2077495537407
0.47874.95420784142232.1062771932526
0.48880.81106000237531.9680187925661
0.49886.63010053149631.7744207418444
0.5892.40629493979431.5212858073578
0.51898.13289524750431.2126135129916
0.52903.80246929879630.8541944686391
0.53909.40735283882530.450692772013
0.54914.93970773928230.0014668318031
0.55920.39150092168529.5035813114943
0.56925.7547571137528.9489472203928
0.57931.02237387954228.3379816676986
0.58936.18963674267527.6790266590637
0.59941.25637656657426.997282798037
0.6946.22952312509226.3357422131829
0.61951.12567623609425.755656823369
0.62955.97326846478225.3297643245346
0.63960.81393372454425.1376562209223
0.64965.70280066816425.2572410483811
0.65970.70756001130625.7552912142718
0.66975.90627457641826.6773664750062
0.67981.38399362551528.0453184531066
0.68987.22831309867729.8489475309733
0.69993.52413162313532.0491621159092
0.71000.3480364722534.5754168172606
0.711007.7630371737337.3271556332317
0.721015.8147135547340.1814149753568
0.731024.5301521146443.012877441006
0.741033.9211392854145.7086323001138
0.751043.992772859648.2085176914318
0.761054.7578039833350.5314966699233
0.771066.255617525752.7988720316502
0.781078.5729702750155.2551666737264
0.791091.8618195810258.2354838238006
0.81106.3483708916262.1144225284211
0.811122.3275527091367.2031409175781
0.821140.1391562230973.6301556124138
0.831160.1262094440381.2537819253046
0.841182.5824520065889.6287082288431
0.851207.7026193763298.0685349623278
0.861235.55409329299105.788794159423
0.871266.08851565941112.114951815717
0.881299.2063710558116.718184639375
0.891334.88076608119119.790607286921
0.91373.34973425909122.106794167558
0.911415.40912381727124.99562294239
0.921462.86199082558130.488590186928
0.931519.11587897805142.080318658269
0.941589.60041595211165.589221725989
0.951681.02782814957206.369868798759
0.961797.99662375621258.759071142986
0.971936.42400601107294.067798241752
0.982077.19931018122266.21641771348
0.992188.52053513954156.536910168369


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')