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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 computationMon, 03 Oct 2016 18:36:00 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/03/t1475516222x2luznlogn0187c.htm/, Retrieved Sat, 04 May 2024 05:08:32 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 05:08:32 +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 
154
156
152
150
152
138
140
138
141
152
158
146
166
167
163
169
168
158
159
161
166
177
186
182
203
213
215
216
219
217
216
222
224
234
237
233
253
257
254
258
253
241
238
240
240
245
249
247
263
265
261
257
252
245
235
240
243
255
252
240

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01138.1724200754470.551338355626946
0.02138.6007740665991.36930359405289
0.03139.328754730322.26870123930409
0.04140.343813065393.1384956269381
0.05141.5945815614743.88977299503612
0.06143.0078696099984.4328587846628
0.07144.5016929468034.70735406429227
0.08145.9969470987464.71164057108027
0.09147.4284166659654.50368472435793
0.1148.7528852712374.17759465991237
0.11149.9519696652843.83400759266487
0.12151.0293264662293.55359537033407
0.13152.0039864964953.38166048774671
0.14152.9024744057863.32457203619514
0.15153.7520081366923.36078102326624
0.16154.5760399257823.45923213961583
0.17155.3923351540263.59281666600797
0.18156.2130642769453.74409847699204
0.19157.0460979998183.90680396320975
0.2157.8967541722364.08160861408012
0.21158.7694841926824.27413028760514
0.22159.6692562177024.49435567766304
0.23160.6025935296824.75457202518213
0.24161.578321161585.07085998333197
0.25162.6080736295885.46316445946809
0.26163.7065611202095.95368425352473
0.27164.8915274572626.56429883191588
0.28166.1832980244177.31317304371346
0.29167.6038288258728.20891284123179
0.3169.1752289157259.24762400102142
0.31170.91782215376910.4103899180519
0.32172.84791693557111.6626069378427
0.33174.9755392669312.9561604265997
0.34177.30243486703914.2322001767288
0.35179.82064748817315.4257968962933
0.36182.5119303787516.4710293633785
0.37185.34815199588417.3086314883192
0.38188.29272956034817.8902755045728
0.39191.30298404996618.1858446820915
0.4194.33317939307318.1846958084078
0.41197.33790776050817.8983079087795
0.42200.27542860319417.3587855211499
0.43203.11057100133116.6156033392352
0.44205.81686753659915.7298579294419
0.45208.37769440776614.7687672178858
0.46210.78632994330913.7980728335711
0.47213.04498996399612.8754187599892
0.48215.16303045390412.0445119556063
0.49217.15460568123911.3316477097189
0.5219.03611990817310.7429797852081
0.51220.82380854775610.266915132083
0.52222.5317345271469.87726387089289
0.53224.1703997412419.54108350037499
0.54225.7460666448669.22379659715434
0.55227.2607793713758.89553696211899
0.56228.7129833857258.53396035365603
0.57230.0985790565398.12691619511689
0.58231.4122130991867.67183630566788
0.59232.6486119154297.17433581535765
0.6233.8037867427896.64788586653323
0.61234.8759834547886.110280437797
0.62235.8663001850995.58200702702303
0.63236.7789451585255.08371694298475
0.64237.621149093724.63539535897206
0.65238.4027780549354.25304590569634
0.66239.1357129452843.94923990604079
0.67239.8330718984273.73094414443898
0.68240.5083533469153.59799924180625
0.69241.1745723793273.54447419970201
0.7241.8434529970773.55809569695596
0.71242.5247260963983.62262702427505
0.72243.2255698954723.71948111893375
0.73243.9502188111723.82976525229011
0.74244.6997606566593.93532572953478
0.75245.4721409384444.01943411834299
0.76246.262394582944.06723938556178
0.77247.0631241102264.06726649356019
0.78247.86523173254.01198838985608
0.79248.6588847608583.89918731653491
0.8249.434647670153.73215892446689
0.81250.1846572827033.52131042953586
0.82250.9036667552443.28204890696284
0.83251.5897639214543.03420285284095
0.84252.2446052121892.79859568494927
0.85252.8731123419452.59343128375651
0.86253.4827453686782.43024717161052
0.87254.0826467198972.3117487642743
0.88254.6830623484642.23240833041266
0.89255.2953846378912.18431700768396
0.9255.9328526286582.164330968419
0.91256.6114221645552.17910766732523
0.92257.3498000777452.24108713288728
0.93258.1675163777862.35359547017288
0.94259.0805231082322.49189585688842
0.95260.094896493082.59747264275439
0.96261.1994004271112.59834421596256
0.97262.3552919342732.45414546075701
0.98263.4791611390092.21307000124831
0.99264.4240780306392.02055813000901

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 138.172420075447 & 0.551338355626946 \tabularnewline
0.02 & 138.600774066599 & 1.36930359405289 \tabularnewline
0.03 & 139.32875473032 & 2.26870123930409 \tabularnewline
0.04 & 140.34381306539 & 3.1384956269381 \tabularnewline
0.05 & 141.594581561474 & 3.88977299503612 \tabularnewline
0.06 & 143.007869609998 & 4.4328587846628 \tabularnewline
0.07 & 144.501692946803 & 4.70735406429227 \tabularnewline
0.08 & 145.996947098746 & 4.71164057108027 \tabularnewline
0.09 & 147.428416665965 & 4.50368472435793 \tabularnewline
0.1 & 148.752885271237 & 4.17759465991237 \tabularnewline
0.11 & 149.951969665284 & 3.83400759266487 \tabularnewline
0.12 & 151.029326466229 & 3.55359537033407 \tabularnewline
0.13 & 152.003986496495 & 3.38166048774671 \tabularnewline
0.14 & 152.902474405786 & 3.32457203619514 \tabularnewline
0.15 & 153.752008136692 & 3.36078102326624 \tabularnewline
0.16 & 154.576039925782 & 3.45923213961583 \tabularnewline
0.17 & 155.392335154026 & 3.59281666600797 \tabularnewline
0.18 & 156.213064276945 & 3.74409847699204 \tabularnewline
0.19 & 157.046097999818 & 3.90680396320975 \tabularnewline
0.2 & 157.896754172236 & 4.08160861408012 \tabularnewline
0.21 & 158.769484192682 & 4.27413028760514 \tabularnewline
0.22 & 159.669256217702 & 4.49435567766304 \tabularnewline
0.23 & 160.602593529682 & 4.75457202518213 \tabularnewline
0.24 & 161.57832116158 & 5.07085998333197 \tabularnewline
0.25 & 162.608073629588 & 5.46316445946809 \tabularnewline
0.26 & 163.706561120209 & 5.95368425352473 \tabularnewline
0.27 & 164.891527457262 & 6.56429883191588 \tabularnewline
0.28 & 166.183298024417 & 7.31317304371346 \tabularnewline
0.29 & 167.603828825872 & 8.20891284123179 \tabularnewline
0.3 & 169.175228915725 & 9.24762400102142 \tabularnewline
0.31 & 170.917822153769 & 10.4103899180519 \tabularnewline
0.32 & 172.847916935571 & 11.6626069378427 \tabularnewline
0.33 & 174.97553926693 & 12.9561604265997 \tabularnewline
0.34 & 177.302434867039 & 14.2322001767288 \tabularnewline
0.35 & 179.820647488173 & 15.4257968962933 \tabularnewline
0.36 & 182.51193037875 & 16.4710293633785 \tabularnewline
0.37 & 185.348151995884 & 17.3086314883192 \tabularnewline
0.38 & 188.292729560348 & 17.8902755045728 \tabularnewline
0.39 & 191.302984049966 & 18.1858446820915 \tabularnewline
0.4 & 194.333179393073 & 18.1846958084078 \tabularnewline
0.41 & 197.337907760508 & 17.8983079087795 \tabularnewline
0.42 & 200.275428603194 & 17.3587855211499 \tabularnewline
0.43 & 203.110571001331 & 16.6156033392352 \tabularnewline
0.44 & 205.816867536599 & 15.7298579294419 \tabularnewline
0.45 & 208.377694407766 & 14.7687672178858 \tabularnewline
0.46 & 210.786329943309 & 13.7980728335711 \tabularnewline
0.47 & 213.044989963996 & 12.8754187599892 \tabularnewline
0.48 & 215.163030453904 & 12.0445119556063 \tabularnewline
0.49 & 217.154605681239 & 11.3316477097189 \tabularnewline
0.5 & 219.036119908173 & 10.7429797852081 \tabularnewline
0.51 & 220.823808547756 & 10.266915132083 \tabularnewline
0.52 & 222.531734527146 & 9.87726387089289 \tabularnewline
0.53 & 224.170399741241 & 9.54108350037499 \tabularnewline
0.54 & 225.746066644866 & 9.22379659715434 \tabularnewline
0.55 & 227.260779371375 & 8.89553696211899 \tabularnewline
0.56 & 228.712983385725 & 8.53396035365603 \tabularnewline
0.57 & 230.098579056539 & 8.12691619511689 \tabularnewline
0.58 & 231.412213099186 & 7.67183630566788 \tabularnewline
0.59 & 232.648611915429 & 7.17433581535765 \tabularnewline
0.6 & 233.803786742789 & 6.64788586653323 \tabularnewline
0.61 & 234.875983454788 & 6.110280437797 \tabularnewline
0.62 & 235.866300185099 & 5.58200702702303 \tabularnewline
0.63 & 236.778945158525 & 5.08371694298475 \tabularnewline
0.64 & 237.62114909372 & 4.63539535897206 \tabularnewline
0.65 & 238.402778054935 & 4.25304590569634 \tabularnewline
0.66 & 239.135712945284 & 3.94923990604079 \tabularnewline
0.67 & 239.833071898427 & 3.73094414443898 \tabularnewline
0.68 & 240.508353346915 & 3.59799924180625 \tabularnewline
0.69 & 241.174572379327 & 3.54447419970201 \tabularnewline
0.7 & 241.843452997077 & 3.55809569695596 \tabularnewline
0.71 & 242.524726096398 & 3.62262702427505 \tabularnewline
0.72 & 243.225569895472 & 3.71948111893375 \tabularnewline
0.73 & 243.950218811172 & 3.82976525229011 \tabularnewline
0.74 & 244.699760656659 & 3.93532572953478 \tabularnewline
0.75 & 245.472140938444 & 4.01943411834299 \tabularnewline
0.76 & 246.26239458294 & 4.06723938556178 \tabularnewline
0.77 & 247.063124110226 & 4.06726649356019 \tabularnewline
0.78 & 247.8652317325 & 4.01198838985608 \tabularnewline
0.79 & 248.658884760858 & 3.89918731653491 \tabularnewline
0.8 & 249.43464767015 & 3.73215892446689 \tabularnewline
0.81 & 250.184657282703 & 3.52131042953586 \tabularnewline
0.82 & 250.903666755244 & 3.28204890696284 \tabularnewline
0.83 & 251.589763921454 & 3.03420285284095 \tabularnewline
0.84 & 252.244605212189 & 2.79859568494927 \tabularnewline
0.85 & 252.873112341945 & 2.59343128375651 \tabularnewline
0.86 & 253.482745368678 & 2.43024717161052 \tabularnewline
0.87 & 254.082646719897 & 2.3117487642743 \tabularnewline
0.88 & 254.683062348464 & 2.23240833041266 \tabularnewline
0.89 & 255.295384637891 & 2.18431700768396 \tabularnewline
0.9 & 255.932852628658 & 2.164330968419 \tabularnewline
0.91 & 256.611422164555 & 2.17910766732523 \tabularnewline
0.92 & 257.349800077745 & 2.24108713288728 \tabularnewline
0.93 & 258.167516377786 & 2.35359547017288 \tabularnewline
0.94 & 259.080523108232 & 2.49189585688842 \tabularnewline
0.95 & 260.09489649308 & 2.59747264275439 \tabularnewline
0.96 & 261.199400427111 & 2.59834421596256 \tabularnewline
0.97 & 262.355291934273 & 2.45414546075701 \tabularnewline
0.98 & 263.479161139009 & 2.21307000124831 \tabularnewline
0.99 & 264.424078030639 & 2.02055813000901 \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]138.172420075447[/C][C]0.551338355626946[/C][/ROW]
[ROW][C]0.02[/C][C]138.600774066599[/C][C]1.36930359405289[/C][/ROW]
[ROW][C]0.03[/C][C]139.32875473032[/C][C]2.26870123930409[/C][/ROW]
[ROW][C]0.04[/C][C]140.34381306539[/C][C]3.1384956269381[/C][/ROW]
[ROW][C]0.05[/C][C]141.594581561474[/C][C]3.88977299503612[/C][/ROW]
[ROW][C]0.06[/C][C]143.007869609998[/C][C]4.4328587846628[/C][/ROW]
[ROW][C]0.07[/C][C]144.501692946803[/C][C]4.70735406429227[/C][/ROW]
[ROW][C]0.08[/C][C]145.996947098746[/C][C]4.71164057108027[/C][/ROW]
[ROW][C]0.09[/C][C]147.428416665965[/C][C]4.50368472435793[/C][/ROW]
[ROW][C]0.1[/C][C]148.752885271237[/C][C]4.17759465991237[/C][/ROW]
[ROW][C]0.11[/C][C]149.951969665284[/C][C]3.83400759266487[/C][/ROW]
[ROW][C]0.12[/C][C]151.029326466229[/C][C]3.55359537033407[/C][/ROW]
[ROW][C]0.13[/C][C]152.003986496495[/C][C]3.38166048774671[/C][/ROW]
[ROW][C]0.14[/C][C]152.902474405786[/C][C]3.32457203619514[/C][/ROW]
[ROW][C]0.15[/C][C]153.752008136692[/C][C]3.36078102326624[/C][/ROW]
[ROW][C]0.16[/C][C]154.576039925782[/C][C]3.45923213961583[/C][/ROW]
[ROW][C]0.17[/C][C]155.392335154026[/C][C]3.59281666600797[/C][/ROW]
[ROW][C]0.18[/C][C]156.213064276945[/C][C]3.74409847699204[/C][/ROW]
[ROW][C]0.19[/C][C]157.046097999818[/C][C]3.90680396320975[/C][/ROW]
[ROW][C]0.2[/C][C]157.896754172236[/C][C]4.08160861408012[/C][/ROW]
[ROW][C]0.21[/C][C]158.769484192682[/C][C]4.27413028760514[/C][/ROW]
[ROW][C]0.22[/C][C]159.669256217702[/C][C]4.49435567766304[/C][/ROW]
[ROW][C]0.23[/C][C]160.602593529682[/C][C]4.75457202518213[/C][/ROW]
[ROW][C]0.24[/C][C]161.57832116158[/C][C]5.07085998333197[/C][/ROW]
[ROW][C]0.25[/C][C]162.608073629588[/C][C]5.46316445946809[/C][/ROW]
[ROW][C]0.26[/C][C]163.706561120209[/C][C]5.95368425352473[/C][/ROW]
[ROW][C]0.27[/C][C]164.891527457262[/C][C]6.56429883191588[/C][/ROW]
[ROW][C]0.28[/C][C]166.183298024417[/C][C]7.31317304371346[/C][/ROW]
[ROW][C]0.29[/C][C]167.603828825872[/C][C]8.20891284123179[/C][/ROW]
[ROW][C]0.3[/C][C]169.175228915725[/C][C]9.24762400102142[/C][/ROW]
[ROW][C]0.31[/C][C]170.917822153769[/C][C]10.4103899180519[/C][/ROW]
[ROW][C]0.32[/C][C]172.847916935571[/C][C]11.6626069378427[/C][/ROW]
[ROW][C]0.33[/C][C]174.97553926693[/C][C]12.9561604265997[/C][/ROW]
[ROW][C]0.34[/C][C]177.302434867039[/C][C]14.2322001767288[/C][/ROW]
[ROW][C]0.35[/C][C]179.820647488173[/C][C]15.4257968962933[/C][/ROW]
[ROW][C]0.36[/C][C]182.51193037875[/C][C]16.4710293633785[/C][/ROW]
[ROW][C]0.37[/C][C]185.348151995884[/C][C]17.3086314883192[/C][/ROW]
[ROW][C]0.38[/C][C]188.292729560348[/C][C]17.8902755045728[/C][/ROW]
[ROW][C]0.39[/C][C]191.302984049966[/C][C]18.1858446820915[/C][/ROW]
[ROW][C]0.4[/C][C]194.333179393073[/C][C]18.1846958084078[/C][/ROW]
[ROW][C]0.41[/C][C]197.337907760508[/C][C]17.8983079087795[/C][/ROW]
[ROW][C]0.42[/C][C]200.275428603194[/C][C]17.3587855211499[/C][/ROW]
[ROW][C]0.43[/C][C]203.110571001331[/C][C]16.6156033392352[/C][/ROW]
[ROW][C]0.44[/C][C]205.816867536599[/C][C]15.7298579294419[/C][/ROW]
[ROW][C]0.45[/C][C]208.377694407766[/C][C]14.7687672178858[/C][/ROW]
[ROW][C]0.46[/C][C]210.786329943309[/C][C]13.7980728335711[/C][/ROW]
[ROW][C]0.47[/C][C]213.044989963996[/C][C]12.8754187599892[/C][/ROW]
[ROW][C]0.48[/C][C]215.163030453904[/C][C]12.0445119556063[/C][/ROW]
[ROW][C]0.49[/C][C]217.154605681239[/C][C]11.3316477097189[/C][/ROW]
[ROW][C]0.5[/C][C]219.036119908173[/C][C]10.7429797852081[/C][/ROW]
[ROW][C]0.51[/C][C]220.823808547756[/C][C]10.266915132083[/C][/ROW]
[ROW][C]0.52[/C][C]222.531734527146[/C][C]9.87726387089289[/C][/ROW]
[ROW][C]0.53[/C][C]224.170399741241[/C][C]9.54108350037499[/C][/ROW]
[ROW][C]0.54[/C][C]225.746066644866[/C][C]9.22379659715434[/C][/ROW]
[ROW][C]0.55[/C][C]227.260779371375[/C][C]8.89553696211899[/C][/ROW]
[ROW][C]0.56[/C][C]228.712983385725[/C][C]8.53396035365603[/C][/ROW]
[ROW][C]0.57[/C][C]230.098579056539[/C][C]8.12691619511689[/C][/ROW]
[ROW][C]0.58[/C][C]231.412213099186[/C][C]7.67183630566788[/C][/ROW]
[ROW][C]0.59[/C][C]232.648611915429[/C][C]7.17433581535765[/C][/ROW]
[ROW][C]0.6[/C][C]233.803786742789[/C][C]6.64788586653323[/C][/ROW]
[ROW][C]0.61[/C][C]234.875983454788[/C][C]6.110280437797[/C][/ROW]
[ROW][C]0.62[/C][C]235.866300185099[/C][C]5.58200702702303[/C][/ROW]
[ROW][C]0.63[/C][C]236.778945158525[/C][C]5.08371694298475[/C][/ROW]
[ROW][C]0.64[/C][C]237.62114909372[/C][C]4.63539535897206[/C][/ROW]
[ROW][C]0.65[/C][C]238.402778054935[/C][C]4.25304590569634[/C][/ROW]
[ROW][C]0.66[/C][C]239.135712945284[/C][C]3.94923990604079[/C][/ROW]
[ROW][C]0.67[/C][C]239.833071898427[/C][C]3.73094414443898[/C][/ROW]
[ROW][C]0.68[/C][C]240.508353346915[/C][C]3.59799924180625[/C][/ROW]
[ROW][C]0.69[/C][C]241.174572379327[/C][C]3.54447419970201[/C][/ROW]
[ROW][C]0.7[/C][C]241.843452997077[/C][C]3.55809569695596[/C][/ROW]
[ROW][C]0.71[/C][C]242.524726096398[/C][C]3.62262702427505[/C][/ROW]
[ROW][C]0.72[/C][C]243.225569895472[/C][C]3.71948111893375[/C][/ROW]
[ROW][C]0.73[/C][C]243.950218811172[/C][C]3.82976525229011[/C][/ROW]
[ROW][C]0.74[/C][C]244.699760656659[/C][C]3.93532572953478[/C][/ROW]
[ROW][C]0.75[/C][C]245.472140938444[/C][C]4.01943411834299[/C][/ROW]
[ROW][C]0.76[/C][C]246.26239458294[/C][C]4.06723938556178[/C][/ROW]
[ROW][C]0.77[/C][C]247.063124110226[/C][C]4.06726649356019[/C][/ROW]
[ROW][C]0.78[/C][C]247.8652317325[/C][C]4.01198838985608[/C][/ROW]
[ROW][C]0.79[/C][C]248.658884760858[/C][C]3.89918731653491[/C][/ROW]
[ROW][C]0.8[/C][C]249.43464767015[/C][C]3.73215892446689[/C][/ROW]
[ROW][C]0.81[/C][C]250.184657282703[/C][C]3.52131042953586[/C][/ROW]
[ROW][C]0.82[/C][C]250.903666755244[/C][C]3.28204890696284[/C][/ROW]
[ROW][C]0.83[/C][C]251.589763921454[/C][C]3.03420285284095[/C][/ROW]
[ROW][C]0.84[/C][C]252.244605212189[/C][C]2.79859568494927[/C][/ROW]
[ROW][C]0.85[/C][C]252.873112341945[/C][C]2.59343128375651[/C][/ROW]
[ROW][C]0.86[/C][C]253.482745368678[/C][C]2.43024717161052[/C][/ROW]
[ROW][C]0.87[/C][C]254.082646719897[/C][C]2.3117487642743[/C][/ROW]
[ROW][C]0.88[/C][C]254.683062348464[/C][C]2.23240833041266[/C][/ROW]
[ROW][C]0.89[/C][C]255.295384637891[/C][C]2.18431700768396[/C][/ROW]
[ROW][C]0.9[/C][C]255.932852628658[/C][C]2.164330968419[/C][/ROW]
[ROW][C]0.91[/C][C]256.611422164555[/C][C]2.17910766732523[/C][/ROW]
[ROW][C]0.92[/C][C]257.349800077745[/C][C]2.24108713288728[/C][/ROW]
[ROW][C]0.93[/C][C]258.167516377786[/C][C]2.35359547017288[/C][/ROW]
[ROW][C]0.94[/C][C]259.080523108232[/C][C]2.49189585688842[/C][/ROW]
[ROW][C]0.95[/C][C]260.09489649308[/C][C]2.59747264275439[/C][/ROW]
[ROW][C]0.96[/C][C]261.199400427111[/C][C]2.59834421596256[/C][/ROW]
[ROW][C]0.97[/C][C]262.355291934273[/C][C]2.45414546075701[/C][/ROW]
[ROW][C]0.98[/C][C]263.479161139009[/C][C]2.21307000124831[/C][/ROW]
[ROW][C]0.99[/C][C]264.424078030639[/C][C]2.02055813000901[/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
0.01138.1724200754470.551338355626946
0.02138.6007740665991.36930359405289
0.03139.328754730322.26870123930409
0.04140.343813065393.1384956269381
0.05141.5945815614743.88977299503612
0.06143.0078696099984.4328587846628
0.07144.5016929468034.70735406429227
0.08145.9969470987464.71164057108027
0.09147.4284166659654.50368472435793
0.1148.7528852712374.17759465991237
0.11149.9519696652843.83400759266487
0.12151.0293264662293.55359537033407
0.13152.0039864964953.38166048774671
0.14152.9024744057863.32457203619514
0.15153.7520081366923.36078102326624
0.16154.5760399257823.45923213961583
0.17155.3923351540263.59281666600797
0.18156.2130642769453.74409847699204
0.19157.0460979998183.90680396320975
0.2157.8967541722364.08160861408012
0.21158.7694841926824.27413028760514
0.22159.6692562177024.49435567766304
0.23160.6025935296824.75457202518213
0.24161.578321161585.07085998333197
0.25162.6080736295885.46316445946809
0.26163.7065611202095.95368425352473
0.27164.8915274572626.56429883191588
0.28166.1832980244177.31317304371346
0.29167.6038288258728.20891284123179
0.3169.1752289157259.24762400102142
0.31170.91782215376910.4103899180519
0.32172.84791693557111.6626069378427
0.33174.9755392669312.9561604265997
0.34177.30243486703914.2322001767288
0.35179.82064748817315.4257968962933
0.36182.5119303787516.4710293633785
0.37185.34815199588417.3086314883192
0.38188.29272956034817.8902755045728
0.39191.30298404996618.1858446820915
0.4194.33317939307318.1846958084078
0.41197.33790776050817.8983079087795
0.42200.27542860319417.3587855211499
0.43203.11057100133116.6156033392352
0.44205.81686753659915.7298579294419
0.45208.37769440776614.7687672178858
0.46210.78632994330913.7980728335711
0.47213.04498996399612.8754187599892
0.48215.16303045390412.0445119556063
0.49217.15460568123911.3316477097189
0.5219.03611990817310.7429797852081
0.51220.82380854775610.266915132083
0.52222.5317345271469.87726387089289
0.53224.1703997412419.54108350037499
0.54225.7460666448669.22379659715434
0.55227.2607793713758.89553696211899
0.56228.7129833857258.53396035365603
0.57230.0985790565398.12691619511689
0.58231.4122130991867.67183630566788
0.59232.6486119154297.17433581535765
0.6233.8037867427896.64788586653323
0.61234.8759834547886.110280437797
0.62235.8663001850995.58200702702303
0.63236.7789451585255.08371694298475
0.64237.621149093724.63539535897206
0.65238.4027780549354.25304590569634
0.66239.1357129452843.94923990604079
0.67239.8330718984273.73094414443898
0.68240.5083533469153.59799924180625
0.69241.1745723793273.54447419970201
0.7241.8434529970773.55809569695596
0.71242.5247260963983.62262702427505
0.72243.2255698954723.71948111893375
0.73243.9502188111723.82976525229011
0.74244.6997606566593.93532572953478
0.75245.4721409384444.01943411834299
0.76246.262394582944.06723938556178
0.77247.0631241102264.06726649356019
0.78247.86523173254.01198838985608
0.79248.6588847608583.89918731653491
0.8249.434647670153.73215892446689
0.81250.1846572827033.52131042953586
0.82250.9036667552443.28204890696284
0.83251.5897639214543.03420285284095
0.84252.2446052121892.79859568494927
0.85252.8731123419452.59343128375651
0.86253.4827453686782.43024717161052
0.87254.0826467198972.3117487642743
0.88254.6830623484642.23240833041266
0.89255.2953846378912.18431700768396
0.9255.9328526286582.164330968419
0.91256.6114221645552.17910766732523
0.92257.3498000777452.24108713288728
0.93258.1675163777862.35359547017288
0.94259.0805231082322.49189585688842
0.95260.094896493082.59747264275439
0.96261.1994004271112.59834421596256
0.97262.3552919342732.45414546075701
0.98263.4791611390092.21307000124831
0.99264.4240780306392.02055813000901


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = no ; par3 = 512 ;
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')