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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, 05 Oct 2013 07:03:43 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/05/t1380971119vsw1n94wkepmavr.htm/, Retrieved Thu, 02 May 2024 14:00:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213287, Retrieved Thu, 02 May 2024 14:00:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

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] [] [2013-10-05 11:03:43] [bc709afd059270defb36fb1011c3ea57] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
86.5
86.6
98.8
84.4
91.4
95.7
78.5
81.7
94.3
98.5
95.4
91.7
92.8
90.6
102.2
91.8
95
102
88.9
89.6
97.9
108.6
100.8
95.1
101
100.9
102.5
105.4
98.4
105.3
96.5
88.1
107.9
107.1
92.5
95.7
85.2
85.5
94.7
86.2
88.8
93.4
83.4
82.9
96.7
96.2
92.8
92.8
90.2
95.9
107.5
98
95
108.5
91.8
91.7
108.3
105.1
104.8
103.2
98.6
102.4
121.2
102.6
108.9
105.5
90.8
99.6
111.6
104.7
103.1
101.7
98.8
101.4
114.2
96.9
98.3
104.8
94.4
94.5
102.4
105.5
101.2
99.5

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213287&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213287&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213287&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0179.61641115716562.53340702293927
0.0281.08610420727291.83450211923332
0.0382.31674527523211.43815859711366
0.0483.23190423636591.3037252377576
0.0583.94583886822491.27682366666788
0.0684.55332527859361.27246481994662
0.0785.10162276841141.27652646098511
0.0885.61372757351071.30199048109082
0.0986.10467514385471.35604891860369
0.186.585867539361.43020373010954
0.1187.06429940883411.50528179430456
0.1287.54163106969911.56222041042847
0.1388.01477679853251.58867503304579
0.1488.47772516632171.58113011776976
0.1588.92367274249991.54331142353589
0.1689.34671262822511.48248295363872
0.1789.7427677977371.4068448767163
0.1890.10984963997481.32364318149531
0.1990.44790436773361.23957455474258
0.290.75849715917351.16011846784435
0.2191.04447352282361.09063255486309
0.2291.30962875480221.03557336844189
0.2391.55836221132760.998410353989593
0.2491.79529509895580.980004958485482
0.2592.02486171713530.979298133251661
0.2692.25091513436040.992897540127935
0.2792.47640210106461.01588231171095
0.2892.70315600065411.04217556777461
0.2992.93183711372371.06655255182122
0.393.16202484424441.08401472131169
0.3193.39244321600631.09130491322143
0.3293.6212823798361.08674771095804
0.3393.84656675617511.07061836408797
0.3494.06651585421161.04511598591175
0.3594.27984748203881.01373179286903
0.3694.48598470300210.980614511299792
0.3794.68514547920460.950819546019425
0.3894.87831376607140.927790208654677
0.3995.06710852102410.915156292908016
0.495.25357918043740.914415902423448
0.4195.43996123962290.925824971997711
0.4295.62842457566850.948196600870447
0.4395.82084257465510.979106565321714
0.4496.01860464107121.01561585947915
0.4596.22248987424081.05362188188754
0.4696.4326155247831.08981616399148
0.4796.64846887419591.12053071332635
0.4896.86902365780971.14337355030057
0.4997.09293121087751.1570171292573
0.597.31876306888981.16146153917918
0.5197.54526862271751.1586638321378
0.5297.77160265422081.15148781421906
0.5397.99747706579331.14403658191848
0.5498.22320112630471.13966224745161
0.5598.44959454441971.14176331604707
0.5698.67778397722691.15166834400098
0.5798.90892008640091.16867866480206
0.5899.14387203961151.18980779258177
0.5999.38296373955261.21121248027056
0.699.62580849403651.22812594492595
0.6199.8712779316841.23609498272547
0.62100.1176122327881.23204861864949
0.63100.362649978591.21459851626167
0.64100.6041346688181.18427555453888
0.65100.8400459225461.14317306595969
0.66101.0689067832931.09504960446672
0.67101.2900301974721.04435731454613
0.68101.5036809360390.99619993324023
0.69101.7111379742460.955841365542385
0.7101.9146444410070.927780643553686
0.71102.117230930150.916136296876652
0.72102.3224009071560.922768911411399
0.73102.5336826340020.947198341316131
0.74102.7540846839130.985534823064984
0.75102.9855373304471.0309140677488
0.76103.2284456725071.07435938374969
0.77103.4815016764291.10676024370661
0.78103.7418817677441.12043652307178
0.79104.0058844447581.11190026011038
0.8104.2699453124641.08274969762792
0.81104.5318295867951.04039483342879
0.82104.7916831834050.997558682327066
0.83105.0525682837830.969282626642486
0.84105.3201601906660.968497237251748
0.85105.6014662429831.00004282705221
0.86105.9027384251611.05627013103
0.87106.2271324918951.11855739969417
0.88106.5730102209341.16319587073296
0.89106.9339627076221.16963005493402
0.9107.3015647831041.1293965855804
0.91107.671518783551.05399626309399
0.92108.0531409000090.982974627493433
0.93108.4809546296970.991575959567952
0.94109.02588017281.17562436168787
0.95109.8043997556941.58715140011086
0.96110.9889594191182.20268183679253
0.97112.813871954242.99570318958042
0.98115.4831635283694.08135438033765
0.99118.7348325464515.5913713731053

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 79.6164111571656 & 2.53340702293927 \tabularnewline
0.02 & 81.0861042072729 & 1.83450211923332 \tabularnewline
0.03 & 82.3167452752321 & 1.43815859711366 \tabularnewline
0.04 & 83.2319042363659 & 1.3037252377576 \tabularnewline
0.05 & 83.9458388682249 & 1.27682366666788 \tabularnewline
0.06 & 84.5533252785936 & 1.27246481994662 \tabularnewline
0.07 & 85.1016227684114 & 1.27652646098511 \tabularnewline
0.08 & 85.6137275735107 & 1.30199048109082 \tabularnewline
0.09 & 86.1046751438547 & 1.35604891860369 \tabularnewline
0.1 & 86.58586753936 & 1.43020373010954 \tabularnewline
0.11 & 87.0642994088341 & 1.50528179430456 \tabularnewline
0.12 & 87.5416310696991 & 1.56222041042847 \tabularnewline
0.13 & 88.0147767985325 & 1.58867503304579 \tabularnewline
0.14 & 88.4777251663217 & 1.58113011776976 \tabularnewline
0.15 & 88.9236727424999 & 1.54331142353589 \tabularnewline
0.16 & 89.3467126282251 & 1.48248295363872 \tabularnewline
0.17 & 89.742767797737 & 1.4068448767163 \tabularnewline
0.18 & 90.1098496399748 & 1.32364318149531 \tabularnewline
0.19 & 90.4479043677336 & 1.23957455474258 \tabularnewline
0.2 & 90.7584971591735 & 1.16011846784435 \tabularnewline
0.21 & 91.0444735228236 & 1.09063255486309 \tabularnewline
0.22 & 91.3096287548022 & 1.03557336844189 \tabularnewline
0.23 & 91.5583622113276 & 0.998410353989593 \tabularnewline
0.24 & 91.7952950989558 & 0.980004958485482 \tabularnewline
0.25 & 92.0248617171353 & 0.979298133251661 \tabularnewline
0.26 & 92.2509151343604 & 0.992897540127935 \tabularnewline
0.27 & 92.4764021010646 & 1.01588231171095 \tabularnewline
0.28 & 92.7031560006541 & 1.04217556777461 \tabularnewline
0.29 & 92.9318371137237 & 1.06655255182122 \tabularnewline
0.3 & 93.1620248442444 & 1.08401472131169 \tabularnewline
0.31 & 93.3924432160063 & 1.09130491322143 \tabularnewline
0.32 & 93.621282379836 & 1.08674771095804 \tabularnewline
0.33 & 93.8465667561751 & 1.07061836408797 \tabularnewline
0.34 & 94.0665158542116 & 1.04511598591175 \tabularnewline
0.35 & 94.2798474820388 & 1.01373179286903 \tabularnewline
0.36 & 94.4859847030021 & 0.980614511299792 \tabularnewline
0.37 & 94.6851454792046 & 0.950819546019425 \tabularnewline
0.38 & 94.8783137660714 & 0.927790208654677 \tabularnewline
0.39 & 95.0671085210241 & 0.915156292908016 \tabularnewline
0.4 & 95.2535791804374 & 0.914415902423448 \tabularnewline
0.41 & 95.4399612396229 & 0.925824971997711 \tabularnewline
0.42 & 95.6284245756685 & 0.948196600870447 \tabularnewline
0.43 & 95.8208425746551 & 0.979106565321714 \tabularnewline
0.44 & 96.0186046410712 & 1.01561585947915 \tabularnewline
0.45 & 96.2224898742408 & 1.05362188188754 \tabularnewline
0.46 & 96.432615524783 & 1.08981616399148 \tabularnewline
0.47 & 96.6484688741959 & 1.12053071332635 \tabularnewline
0.48 & 96.8690236578097 & 1.14337355030057 \tabularnewline
0.49 & 97.0929312108775 & 1.1570171292573 \tabularnewline
0.5 & 97.3187630688898 & 1.16146153917918 \tabularnewline
0.51 & 97.5452686227175 & 1.1586638321378 \tabularnewline
0.52 & 97.7716026542208 & 1.15148781421906 \tabularnewline
0.53 & 97.9974770657933 & 1.14403658191848 \tabularnewline
0.54 & 98.2232011263047 & 1.13966224745161 \tabularnewline
0.55 & 98.4495945444197 & 1.14176331604707 \tabularnewline
0.56 & 98.6777839772269 & 1.15166834400098 \tabularnewline
0.57 & 98.9089200864009 & 1.16867866480206 \tabularnewline
0.58 & 99.1438720396115 & 1.18980779258177 \tabularnewline
0.59 & 99.3829637395526 & 1.21121248027056 \tabularnewline
0.6 & 99.6258084940365 & 1.22812594492595 \tabularnewline
0.61 & 99.871277931684 & 1.23609498272547 \tabularnewline
0.62 & 100.117612232788 & 1.23204861864949 \tabularnewline
0.63 & 100.36264997859 & 1.21459851626167 \tabularnewline
0.64 & 100.604134668818 & 1.18427555453888 \tabularnewline
0.65 & 100.840045922546 & 1.14317306595969 \tabularnewline
0.66 & 101.068906783293 & 1.09504960446672 \tabularnewline
0.67 & 101.290030197472 & 1.04435731454613 \tabularnewline
0.68 & 101.503680936039 & 0.99619993324023 \tabularnewline
0.69 & 101.711137974246 & 0.955841365542385 \tabularnewline
0.7 & 101.914644441007 & 0.927780643553686 \tabularnewline
0.71 & 102.11723093015 & 0.916136296876652 \tabularnewline
0.72 & 102.322400907156 & 0.922768911411399 \tabularnewline
0.73 & 102.533682634002 & 0.947198341316131 \tabularnewline
0.74 & 102.754084683913 & 0.985534823064984 \tabularnewline
0.75 & 102.985537330447 & 1.0309140677488 \tabularnewline
0.76 & 103.228445672507 & 1.07435938374969 \tabularnewline
0.77 & 103.481501676429 & 1.10676024370661 \tabularnewline
0.78 & 103.741881767744 & 1.12043652307178 \tabularnewline
0.79 & 104.005884444758 & 1.11190026011038 \tabularnewline
0.8 & 104.269945312464 & 1.08274969762792 \tabularnewline
0.81 & 104.531829586795 & 1.04039483342879 \tabularnewline
0.82 & 104.791683183405 & 0.997558682327066 \tabularnewline
0.83 & 105.052568283783 & 0.969282626642486 \tabularnewline
0.84 & 105.320160190666 & 0.968497237251748 \tabularnewline
0.85 & 105.601466242983 & 1.00004282705221 \tabularnewline
0.86 & 105.902738425161 & 1.05627013103 \tabularnewline
0.87 & 106.227132491895 & 1.11855739969417 \tabularnewline
0.88 & 106.573010220934 & 1.16319587073296 \tabularnewline
0.89 & 106.933962707622 & 1.16963005493402 \tabularnewline
0.9 & 107.301564783104 & 1.1293965855804 \tabularnewline
0.91 & 107.67151878355 & 1.05399626309399 \tabularnewline
0.92 & 108.053140900009 & 0.982974627493433 \tabularnewline
0.93 & 108.480954629697 & 0.991575959567952 \tabularnewline
0.94 & 109.0258801728 & 1.17562436168787 \tabularnewline
0.95 & 109.804399755694 & 1.58715140011086 \tabularnewline
0.96 & 110.988959419118 & 2.20268183679253 \tabularnewline
0.97 & 112.81387195424 & 2.99570318958042 \tabularnewline
0.98 & 115.483163528369 & 4.08135438033765 \tabularnewline
0.99 & 118.734832546451 & 5.5913713731053 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213287&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]79.6164111571656[/C][C]2.53340702293927[/C][/ROW]
[ROW][C]0.02[/C][C]81.0861042072729[/C][C]1.83450211923332[/C][/ROW]
[ROW][C]0.03[/C][C]82.3167452752321[/C][C]1.43815859711366[/C][/ROW]
[ROW][C]0.04[/C][C]83.2319042363659[/C][C]1.3037252377576[/C][/ROW]
[ROW][C]0.05[/C][C]83.9458388682249[/C][C]1.27682366666788[/C][/ROW]
[ROW][C]0.06[/C][C]84.5533252785936[/C][C]1.27246481994662[/C][/ROW]
[ROW][C]0.07[/C][C]85.1016227684114[/C][C]1.27652646098511[/C][/ROW]
[ROW][C]0.08[/C][C]85.6137275735107[/C][C]1.30199048109082[/C][/ROW]
[ROW][C]0.09[/C][C]86.1046751438547[/C][C]1.35604891860369[/C][/ROW]
[ROW][C]0.1[/C][C]86.58586753936[/C][C]1.43020373010954[/C][/ROW]
[ROW][C]0.11[/C][C]87.0642994088341[/C][C]1.50528179430456[/C][/ROW]
[ROW][C]0.12[/C][C]87.5416310696991[/C][C]1.56222041042847[/C][/ROW]
[ROW][C]0.13[/C][C]88.0147767985325[/C][C]1.58867503304579[/C][/ROW]
[ROW][C]0.14[/C][C]88.4777251663217[/C][C]1.58113011776976[/C][/ROW]
[ROW][C]0.15[/C][C]88.9236727424999[/C][C]1.54331142353589[/C][/ROW]
[ROW][C]0.16[/C][C]89.3467126282251[/C][C]1.48248295363872[/C][/ROW]
[ROW][C]0.17[/C][C]89.742767797737[/C][C]1.4068448767163[/C][/ROW]
[ROW][C]0.18[/C][C]90.1098496399748[/C][C]1.32364318149531[/C][/ROW]
[ROW][C]0.19[/C][C]90.4479043677336[/C][C]1.23957455474258[/C][/ROW]
[ROW][C]0.2[/C][C]90.7584971591735[/C][C]1.16011846784435[/C][/ROW]
[ROW][C]0.21[/C][C]91.0444735228236[/C][C]1.09063255486309[/C][/ROW]
[ROW][C]0.22[/C][C]91.3096287548022[/C][C]1.03557336844189[/C][/ROW]
[ROW][C]0.23[/C][C]91.5583622113276[/C][C]0.998410353989593[/C][/ROW]
[ROW][C]0.24[/C][C]91.7952950989558[/C][C]0.980004958485482[/C][/ROW]
[ROW][C]0.25[/C][C]92.0248617171353[/C][C]0.979298133251661[/C][/ROW]
[ROW][C]0.26[/C][C]92.2509151343604[/C][C]0.992897540127935[/C][/ROW]
[ROW][C]0.27[/C][C]92.4764021010646[/C][C]1.01588231171095[/C][/ROW]
[ROW][C]0.28[/C][C]92.7031560006541[/C][C]1.04217556777461[/C][/ROW]
[ROW][C]0.29[/C][C]92.9318371137237[/C][C]1.06655255182122[/C][/ROW]
[ROW][C]0.3[/C][C]93.1620248442444[/C][C]1.08401472131169[/C][/ROW]
[ROW][C]0.31[/C][C]93.3924432160063[/C][C]1.09130491322143[/C][/ROW]
[ROW][C]0.32[/C][C]93.621282379836[/C][C]1.08674771095804[/C][/ROW]
[ROW][C]0.33[/C][C]93.8465667561751[/C][C]1.07061836408797[/C][/ROW]
[ROW][C]0.34[/C][C]94.0665158542116[/C][C]1.04511598591175[/C][/ROW]
[ROW][C]0.35[/C][C]94.2798474820388[/C][C]1.01373179286903[/C][/ROW]
[ROW][C]0.36[/C][C]94.4859847030021[/C][C]0.980614511299792[/C][/ROW]
[ROW][C]0.37[/C][C]94.6851454792046[/C][C]0.950819546019425[/C][/ROW]
[ROW][C]0.38[/C][C]94.8783137660714[/C][C]0.927790208654677[/C][/ROW]
[ROW][C]0.39[/C][C]95.0671085210241[/C][C]0.915156292908016[/C][/ROW]
[ROW][C]0.4[/C][C]95.2535791804374[/C][C]0.914415902423448[/C][/ROW]
[ROW][C]0.41[/C][C]95.4399612396229[/C][C]0.925824971997711[/C][/ROW]
[ROW][C]0.42[/C][C]95.6284245756685[/C][C]0.948196600870447[/C][/ROW]
[ROW][C]0.43[/C][C]95.8208425746551[/C][C]0.979106565321714[/C][/ROW]
[ROW][C]0.44[/C][C]96.0186046410712[/C][C]1.01561585947915[/C][/ROW]
[ROW][C]0.45[/C][C]96.2224898742408[/C][C]1.05362188188754[/C][/ROW]
[ROW][C]0.46[/C][C]96.432615524783[/C][C]1.08981616399148[/C][/ROW]
[ROW][C]0.47[/C][C]96.6484688741959[/C][C]1.12053071332635[/C][/ROW]
[ROW][C]0.48[/C][C]96.8690236578097[/C][C]1.14337355030057[/C][/ROW]
[ROW][C]0.49[/C][C]97.0929312108775[/C][C]1.1570171292573[/C][/ROW]
[ROW][C]0.5[/C][C]97.3187630688898[/C][C]1.16146153917918[/C][/ROW]
[ROW][C]0.51[/C][C]97.5452686227175[/C][C]1.1586638321378[/C][/ROW]
[ROW][C]0.52[/C][C]97.7716026542208[/C][C]1.15148781421906[/C][/ROW]
[ROW][C]0.53[/C][C]97.9974770657933[/C][C]1.14403658191848[/C][/ROW]
[ROW][C]0.54[/C][C]98.2232011263047[/C][C]1.13966224745161[/C][/ROW]
[ROW][C]0.55[/C][C]98.4495945444197[/C][C]1.14176331604707[/C][/ROW]
[ROW][C]0.56[/C][C]98.6777839772269[/C][C]1.15166834400098[/C][/ROW]
[ROW][C]0.57[/C][C]98.9089200864009[/C][C]1.16867866480206[/C][/ROW]
[ROW][C]0.58[/C][C]99.1438720396115[/C][C]1.18980779258177[/C][/ROW]
[ROW][C]0.59[/C][C]99.3829637395526[/C][C]1.21121248027056[/C][/ROW]
[ROW][C]0.6[/C][C]99.6258084940365[/C][C]1.22812594492595[/C][/ROW]
[ROW][C]0.61[/C][C]99.871277931684[/C][C]1.23609498272547[/C][/ROW]
[ROW][C]0.62[/C][C]100.117612232788[/C][C]1.23204861864949[/C][/ROW]
[ROW][C]0.63[/C][C]100.36264997859[/C][C]1.21459851626167[/C][/ROW]
[ROW][C]0.64[/C][C]100.604134668818[/C][C]1.18427555453888[/C][/ROW]
[ROW][C]0.65[/C][C]100.840045922546[/C][C]1.14317306595969[/C][/ROW]
[ROW][C]0.66[/C][C]101.068906783293[/C][C]1.09504960446672[/C][/ROW]
[ROW][C]0.67[/C][C]101.290030197472[/C][C]1.04435731454613[/C][/ROW]
[ROW][C]0.68[/C][C]101.503680936039[/C][C]0.99619993324023[/C][/ROW]
[ROW][C]0.69[/C][C]101.711137974246[/C][C]0.955841365542385[/C][/ROW]
[ROW][C]0.7[/C][C]101.914644441007[/C][C]0.927780643553686[/C][/ROW]
[ROW][C]0.71[/C][C]102.11723093015[/C][C]0.916136296876652[/C][/ROW]
[ROW][C]0.72[/C][C]102.322400907156[/C][C]0.922768911411399[/C][/ROW]
[ROW][C]0.73[/C][C]102.533682634002[/C][C]0.947198341316131[/C][/ROW]
[ROW][C]0.74[/C][C]102.754084683913[/C][C]0.985534823064984[/C][/ROW]
[ROW][C]0.75[/C][C]102.985537330447[/C][C]1.0309140677488[/C][/ROW]
[ROW][C]0.76[/C][C]103.228445672507[/C][C]1.07435938374969[/C][/ROW]
[ROW][C]0.77[/C][C]103.481501676429[/C][C]1.10676024370661[/C][/ROW]
[ROW][C]0.78[/C][C]103.741881767744[/C][C]1.12043652307178[/C][/ROW]
[ROW][C]0.79[/C][C]104.005884444758[/C][C]1.11190026011038[/C][/ROW]
[ROW][C]0.8[/C][C]104.269945312464[/C][C]1.08274969762792[/C][/ROW]
[ROW][C]0.81[/C][C]104.531829586795[/C][C]1.04039483342879[/C][/ROW]
[ROW][C]0.82[/C][C]104.791683183405[/C][C]0.997558682327066[/C][/ROW]
[ROW][C]0.83[/C][C]105.052568283783[/C][C]0.969282626642486[/C][/ROW]
[ROW][C]0.84[/C][C]105.320160190666[/C][C]0.968497237251748[/C][/ROW]
[ROW][C]0.85[/C][C]105.601466242983[/C][C]1.00004282705221[/C][/ROW]
[ROW][C]0.86[/C][C]105.902738425161[/C][C]1.05627013103[/C][/ROW]
[ROW][C]0.87[/C][C]106.227132491895[/C][C]1.11855739969417[/C][/ROW]
[ROW][C]0.88[/C][C]106.573010220934[/C][C]1.16319587073296[/C][/ROW]
[ROW][C]0.89[/C][C]106.933962707622[/C][C]1.16963005493402[/C][/ROW]
[ROW][C]0.9[/C][C]107.301564783104[/C][C]1.1293965855804[/C][/ROW]
[ROW][C]0.91[/C][C]107.67151878355[/C][C]1.05399626309399[/C][/ROW]
[ROW][C]0.92[/C][C]108.053140900009[/C][C]0.982974627493433[/C][/ROW]
[ROW][C]0.93[/C][C]108.480954629697[/C][C]0.991575959567952[/C][/ROW]
[ROW][C]0.94[/C][C]109.0258801728[/C][C]1.17562436168787[/C][/ROW]
[ROW][C]0.95[/C][C]109.804399755694[/C][C]1.58715140011086[/C][/ROW]
[ROW][C]0.96[/C][C]110.988959419118[/C][C]2.20268183679253[/C][/ROW]
[ROW][C]0.97[/C][C]112.81387195424[/C][C]2.99570318958042[/C][/ROW]
[ROW][C]0.98[/C][C]115.483163528369[/C][C]4.08135438033765[/C][/ROW]
[ROW][C]0.99[/C][C]118.734832546451[/C][C]5.5913713731053[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213287&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213287&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
0.0179.61641115716562.53340702293927
0.0281.08610420727291.83450211923332
0.0382.31674527523211.43815859711366
0.0483.23190423636591.3037252377576
0.0583.94583886822491.27682366666788
0.0684.55332527859361.27246481994662
0.0785.10162276841141.27652646098511
0.0885.61372757351071.30199048109082
0.0986.10467514385471.35604891860369
0.186.585867539361.43020373010954
0.1187.06429940883411.50528179430456
0.1287.54163106969911.56222041042847
0.1388.01477679853251.58867503304579
0.1488.47772516632171.58113011776976
0.1588.92367274249991.54331142353589
0.1689.34671262822511.48248295363872
0.1789.7427677977371.4068448767163
0.1890.10984963997481.32364318149531
0.1990.44790436773361.23957455474258
0.290.75849715917351.16011846784435
0.2191.04447352282361.09063255486309
0.2291.30962875480221.03557336844189
0.2391.55836221132760.998410353989593
0.2491.79529509895580.980004958485482
0.2592.02486171713530.979298133251661
0.2692.25091513436040.992897540127935
0.2792.47640210106461.01588231171095
0.2892.70315600065411.04217556777461
0.2992.93183711372371.06655255182122
0.393.16202484424441.08401472131169
0.3193.39244321600631.09130491322143
0.3293.6212823798361.08674771095804
0.3393.84656675617511.07061836408797
0.3494.06651585421161.04511598591175
0.3594.27984748203881.01373179286903
0.3694.48598470300210.980614511299792
0.3794.68514547920460.950819546019425
0.3894.87831376607140.927790208654677
0.3995.06710852102410.915156292908016
0.495.25357918043740.914415902423448
0.4195.43996123962290.925824971997711
0.4295.62842457566850.948196600870447
0.4395.82084257465510.979106565321714
0.4496.01860464107121.01561585947915
0.4596.22248987424081.05362188188754
0.4696.4326155247831.08981616399148
0.4796.64846887419591.12053071332635
0.4896.86902365780971.14337355030057
0.4997.09293121087751.1570171292573
0.597.31876306888981.16146153917918
0.5197.54526862271751.1586638321378
0.5297.77160265422081.15148781421906
0.5397.99747706579331.14403658191848
0.5498.22320112630471.13966224745161
0.5598.44959454441971.14176331604707
0.5698.67778397722691.15166834400098
0.5798.90892008640091.16867866480206
0.5899.14387203961151.18980779258177
0.5999.38296373955261.21121248027056
0.699.62580849403651.22812594492595
0.6199.8712779316841.23609498272547
0.62100.1176122327881.23204861864949
0.63100.362649978591.21459851626167
0.64100.6041346688181.18427555453888
0.65100.8400459225461.14317306595969
0.66101.0689067832931.09504960446672
0.67101.2900301974721.04435731454613
0.68101.5036809360390.99619993324023
0.69101.7111379742460.955841365542385
0.7101.9146444410070.927780643553686
0.71102.117230930150.916136296876652
0.72102.3224009071560.922768911411399
0.73102.5336826340020.947198341316131
0.74102.7540846839130.985534823064984
0.75102.9855373304471.0309140677488
0.76103.2284456725071.07435938374969
0.77103.4815016764291.10676024370661
0.78103.7418817677441.12043652307178
0.79104.0058844447581.11190026011038
0.8104.2699453124641.08274969762792
0.81104.5318295867951.04039483342879
0.82104.7916831834050.997558682327066
0.83105.0525682837830.969282626642486
0.84105.3201601906660.968497237251748
0.85105.6014662429831.00004282705221
0.86105.9027384251611.05627013103
0.87106.2271324918951.11855739969417
0.88106.5730102209341.16319587073296
0.89106.9339627076221.16963005493402
0.9107.3015647831041.1293965855804
0.91107.671518783551.05399626309399
0.92108.0531409000090.982974627493433
0.93108.4809546296970.991575959567952
0.94109.02588017281.17562436168787
0.95109.8043997556941.58715140011086
0.96110.9889594191182.20268183679253
0.97112.813871954242.99570318958042
0.98115.4831635283694.08135438033765
0.99118.7348325464515.5913713731053


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')