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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 computationSun, 16 Oct 2011 08:09:18 -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/2011/Oct/16/t1318767047htxtvty5i4to8sw.htm/, Retrieved Thu, 16 May 2024 23:46:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=130000, Retrieved Thu, 16 May 2024 23:46:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact84

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] [] [2011-10-16 12:09:18] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,29
8,27
8,27
8,43
8,46
8,48
8,46
8,46
8,43
8,4
8,38
8,3
8,39
8,53
8,52
8,54
8,62
8,52
8,49
8,44
8,31
8,26
8,21
8,03
7,89
7,83
7,85
7,84
7,88
8,01
8,08
8,11
8,11
8,07
8,06
7,95
7,95
8,07
8,17
8,21
8,2
8,19
8,18
8,16
8,17
8,17
8,19
8,01
8,04
8,13
8,14
8,17
8,25
8,27
8,27
8,26
8,24
8,21
8,25
8,06
8,16
8,32
8,43
8,39
8,41
8,45
8,43
8,52
8,52
8,51
8,56
8,36
8,4
8,44
8,5
8,31
8,38
8,45
8,42
8,46
8,45
8,32
8,4
8,18

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=130000&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=130000&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=130000&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.835430374464550.0126304127566111
0.027.84591186446780.0207031330754354
0.037.86043413084770.0310356587891327
0.047.878256747612140.0407143636469928
0.057.898498109723110.0482528082557224
0.067.920032085211110.0528611546359322
0.077.941689077412030.054341556524589
0.087.962466025589360.0531187281502314
0.097.981655827578030.0500016198979436
0.17.9988893741580.045950031972311
0.118.01410387202510.0417580556468048
0.128.027466564003420.0380724352168591
0.138.039286031260870.0352815721474491
0.148.049932714024130.033575871849488
0.158.05977677329520.0329498443928405
0.168.069143003337620.0332289210254432
0.178.078280348540310.0341022945495271
0.188.087344830542760.0351953545337415
0.198.096396041931580.0361342292452007
0.28.105407046969830.0365982736309542
0.218.114285681057910.0363882418301287
0.228.122903085288670.0354500300641546
0.238.131124059562670.033850107673457
0.248.138833980491550.0317224593277132
0.258.145958389893880.0293093725005585
0.268.152473316348390.0268614283659139
0.278.15840634088120.0246244230379163
0.288.163829947995720.0228076417802192
0.298.168849625216110.0215327628005468
0.38.173589465525780.0209037436002827
0.318.178177776703380.0208830627311268
0.328.18273457486020.0213939707371291
0.338.187362046678150.0223209833868324
0.348.192138318162170.0235429900212729
0.358.197114329583220.0249069867684705
0.368.202313357523830.0262829251146391
0.378.207732712719220.0275471494652691
0.388.213347265058970.0285937258089041
0.398.219114566167120.0293733735012241
0.48.224981347878390.0298190889403431
0.418.230891036043650.0299405264828337
0.428.236791678978250.0297771353299972
0.438.242643451495170.0294207308709313
0.448.24842477384760.0289815088636183
0.458.254136159025340.0285986422519703
0.468.259801182769070.0284011571643756
0.478.265464397403890.0285101817150988
0.488.271186474083240.0289967343437931
0.498.277037242699190.029891624053199
0.58.283087524556840.0311686236593986
0.518.289400701258430.0327559861214678
0.528.296024875967470.0345366538663304
0.538.302986336210740.0363847451938669
0.548.310284890110950.038135997282002
0.558.317891547716310.0396637422279375
0.568.325748927325680.0407926405262669
0.578.33377461570290.0414203247820288
0.588.341867435474290.0414498434177918
0.598.349916157317670.0408435103515367
0.68.357809702854670.0396488557277993
0.618.365447453879580.037930055077674
0.628.372748080599160.035817053578106
0.638.379655452309630.0334749121235117
0.648.386140722461950.0310611541454574
0.658.392200479513760.0287045523545476
0.668.397851709847430.0265160505183575
0.678.403124974442060.0245483645958482
0.688.408057454489430.0228181902051771
0.698.412687301702020.0212740563827092
0.78.417050129997990.0199118865226959
0.718.421177734620720.0186874513460164
0.728.425098500956020.0175743695267168
0.738.428838688730880.0165844036697884
0.748.43242392054970.0157077504366949
0.758.435880657636560.0149566014084062
0.768.439237956208740.0143283353466436
0.778.442530062192710.013833180423823
0.788.445800189361020.0135018528022193
0.798.449105085071470.0133904758997184
0.88.452518906969250.0135612872352695
0.818.456133931933530.0141202548534605
0.828.460055247900690.0150938118502987
0.838.464387338841590.0164631765214913
0.848.469212563000310.0180896112760272
0.858.474564641604640.0197278346197187
0.868.480403590211680.0210587605978272
0.878.486600914390080.0217403919838636
0.888.492944321506880.021514260459525
0.898.49916899014970.0202632506179515
0.98.505017248035560.0180817094982697
0.918.510320396214280.015324584054012
0.928.515086866423920.0125746017939003
0.938.519575544672280.0105967225444114
0.948.524345094654540.0101915726571137
0.958.530316623098870.0117491473144708
0.968.538946042494350.0152969947138904
0.978.552454625747890.0214115308482483
0.988.573148580501460.0317679957407544
0.998.599472252621660.0466612404887702

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.83543037446455 & 0.0126304127566111 \tabularnewline
0.02 & 7.8459118644678 & 0.0207031330754354 \tabularnewline
0.03 & 7.8604341308477 & 0.0310356587891327 \tabularnewline
0.04 & 7.87825674761214 & 0.0407143636469928 \tabularnewline
0.05 & 7.89849810972311 & 0.0482528082557224 \tabularnewline
0.06 & 7.92003208521111 & 0.0528611546359322 \tabularnewline
0.07 & 7.94168907741203 & 0.054341556524589 \tabularnewline
0.08 & 7.96246602558936 & 0.0531187281502314 \tabularnewline
0.09 & 7.98165582757803 & 0.0500016198979436 \tabularnewline
0.1 & 7.998889374158 & 0.045950031972311 \tabularnewline
0.11 & 8.0141038720251 & 0.0417580556468048 \tabularnewline
0.12 & 8.02746656400342 & 0.0380724352168591 \tabularnewline
0.13 & 8.03928603126087 & 0.0352815721474491 \tabularnewline
0.14 & 8.04993271402413 & 0.033575871849488 \tabularnewline
0.15 & 8.0597767732952 & 0.0329498443928405 \tabularnewline
0.16 & 8.06914300333762 & 0.0332289210254432 \tabularnewline
0.17 & 8.07828034854031 & 0.0341022945495271 \tabularnewline
0.18 & 8.08734483054276 & 0.0351953545337415 \tabularnewline
0.19 & 8.09639604193158 & 0.0361342292452007 \tabularnewline
0.2 & 8.10540704696983 & 0.0365982736309542 \tabularnewline
0.21 & 8.11428568105791 & 0.0363882418301287 \tabularnewline
0.22 & 8.12290308528867 & 0.0354500300641546 \tabularnewline
0.23 & 8.13112405956267 & 0.033850107673457 \tabularnewline
0.24 & 8.13883398049155 & 0.0317224593277132 \tabularnewline
0.25 & 8.14595838989388 & 0.0293093725005585 \tabularnewline
0.26 & 8.15247331634839 & 0.0268614283659139 \tabularnewline
0.27 & 8.1584063408812 & 0.0246244230379163 \tabularnewline
0.28 & 8.16382994799572 & 0.0228076417802192 \tabularnewline
0.29 & 8.16884962521611 & 0.0215327628005468 \tabularnewline
0.3 & 8.17358946552578 & 0.0209037436002827 \tabularnewline
0.31 & 8.17817777670338 & 0.0208830627311268 \tabularnewline
0.32 & 8.1827345748602 & 0.0213939707371291 \tabularnewline
0.33 & 8.18736204667815 & 0.0223209833868324 \tabularnewline
0.34 & 8.19213831816217 & 0.0235429900212729 \tabularnewline
0.35 & 8.19711432958322 & 0.0249069867684705 \tabularnewline
0.36 & 8.20231335752383 & 0.0262829251146391 \tabularnewline
0.37 & 8.20773271271922 & 0.0275471494652691 \tabularnewline
0.38 & 8.21334726505897 & 0.0285937258089041 \tabularnewline
0.39 & 8.21911456616712 & 0.0293733735012241 \tabularnewline
0.4 & 8.22498134787839 & 0.0298190889403431 \tabularnewline
0.41 & 8.23089103604365 & 0.0299405264828337 \tabularnewline
0.42 & 8.23679167897825 & 0.0297771353299972 \tabularnewline
0.43 & 8.24264345149517 & 0.0294207308709313 \tabularnewline
0.44 & 8.2484247738476 & 0.0289815088636183 \tabularnewline
0.45 & 8.25413615902534 & 0.0285986422519703 \tabularnewline
0.46 & 8.25980118276907 & 0.0284011571643756 \tabularnewline
0.47 & 8.26546439740389 & 0.0285101817150988 \tabularnewline
0.48 & 8.27118647408324 & 0.0289967343437931 \tabularnewline
0.49 & 8.27703724269919 & 0.029891624053199 \tabularnewline
0.5 & 8.28308752455684 & 0.0311686236593986 \tabularnewline
0.51 & 8.28940070125843 & 0.0327559861214678 \tabularnewline
0.52 & 8.29602487596747 & 0.0345366538663304 \tabularnewline
0.53 & 8.30298633621074 & 0.0363847451938669 \tabularnewline
0.54 & 8.31028489011095 & 0.038135997282002 \tabularnewline
0.55 & 8.31789154771631 & 0.0396637422279375 \tabularnewline
0.56 & 8.32574892732568 & 0.0407926405262669 \tabularnewline
0.57 & 8.3337746157029 & 0.0414203247820288 \tabularnewline
0.58 & 8.34186743547429 & 0.0414498434177918 \tabularnewline
0.59 & 8.34991615731767 & 0.0408435103515367 \tabularnewline
0.6 & 8.35780970285467 & 0.0396488557277993 \tabularnewline
0.61 & 8.36544745387958 & 0.037930055077674 \tabularnewline
0.62 & 8.37274808059916 & 0.035817053578106 \tabularnewline
0.63 & 8.37965545230963 & 0.0334749121235117 \tabularnewline
0.64 & 8.38614072246195 & 0.0310611541454574 \tabularnewline
0.65 & 8.39220047951376 & 0.0287045523545476 \tabularnewline
0.66 & 8.39785170984743 & 0.0265160505183575 \tabularnewline
0.67 & 8.40312497444206 & 0.0245483645958482 \tabularnewline
0.68 & 8.40805745448943 & 0.0228181902051771 \tabularnewline
0.69 & 8.41268730170202 & 0.0212740563827092 \tabularnewline
0.7 & 8.41705012999799 & 0.0199118865226959 \tabularnewline
0.71 & 8.42117773462072 & 0.0186874513460164 \tabularnewline
0.72 & 8.42509850095602 & 0.0175743695267168 \tabularnewline
0.73 & 8.42883868873088 & 0.0165844036697884 \tabularnewline
0.74 & 8.4324239205497 & 0.0157077504366949 \tabularnewline
0.75 & 8.43588065763656 & 0.0149566014084062 \tabularnewline
0.76 & 8.43923795620874 & 0.0143283353466436 \tabularnewline
0.77 & 8.44253006219271 & 0.013833180423823 \tabularnewline
0.78 & 8.44580018936102 & 0.0135018528022193 \tabularnewline
0.79 & 8.44910508507147 & 0.0133904758997184 \tabularnewline
0.8 & 8.45251890696925 & 0.0135612872352695 \tabularnewline
0.81 & 8.45613393193353 & 0.0141202548534605 \tabularnewline
0.82 & 8.46005524790069 & 0.0150938118502987 \tabularnewline
0.83 & 8.46438733884159 & 0.0164631765214913 \tabularnewline
0.84 & 8.46921256300031 & 0.0180896112760272 \tabularnewline
0.85 & 8.47456464160464 & 0.0197278346197187 \tabularnewline
0.86 & 8.48040359021168 & 0.0210587605978272 \tabularnewline
0.87 & 8.48660091439008 & 0.0217403919838636 \tabularnewline
0.88 & 8.49294432150688 & 0.021514260459525 \tabularnewline
0.89 & 8.4991689901497 & 0.0202632506179515 \tabularnewline
0.9 & 8.50501724803556 & 0.0180817094982697 \tabularnewline
0.91 & 8.51032039621428 & 0.015324584054012 \tabularnewline
0.92 & 8.51508686642392 & 0.0125746017939003 \tabularnewline
0.93 & 8.51957554467228 & 0.0105967225444114 \tabularnewline
0.94 & 8.52434509465454 & 0.0101915726571137 \tabularnewline
0.95 & 8.53031662309887 & 0.0117491473144708 \tabularnewline
0.96 & 8.53894604249435 & 0.0152969947138904 \tabularnewline
0.97 & 8.55245462574789 & 0.0214115308482483 \tabularnewline
0.98 & 8.57314858050146 & 0.0317679957407544 \tabularnewline
0.99 & 8.59947225262166 & 0.0466612404887702 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=130000&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]7.83543037446455[/C][C]0.0126304127566111[/C][/ROW]
[ROW][C]0.02[/C][C]7.8459118644678[/C][C]0.0207031330754354[/C][/ROW]
[ROW][C]0.03[/C][C]7.8604341308477[/C][C]0.0310356587891327[/C][/ROW]
[ROW][C]0.04[/C][C]7.87825674761214[/C][C]0.0407143636469928[/C][/ROW]
[ROW][C]0.05[/C][C]7.89849810972311[/C][C]0.0482528082557224[/C][/ROW]
[ROW][C]0.06[/C][C]7.92003208521111[/C][C]0.0528611546359322[/C][/ROW]
[ROW][C]0.07[/C][C]7.94168907741203[/C][C]0.054341556524589[/C][/ROW]
[ROW][C]0.08[/C][C]7.96246602558936[/C][C]0.0531187281502314[/C][/ROW]
[ROW][C]0.09[/C][C]7.98165582757803[/C][C]0.0500016198979436[/C][/ROW]
[ROW][C]0.1[/C][C]7.998889374158[/C][C]0.045950031972311[/C][/ROW]
[ROW][C]0.11[/C][C]8.0141038720251[/C][C]0.0417580556468048[/C][/ROW]
[ROW][C]0.12[/C][C]8.02746656400342[/C][C]0.0380724352168591[/C][/ROW]
[ROW][C]0.13[/C][C]8.03928603126087[/C][C]0.0352815721474491[/C][/ROW]
[ROW][C]0.14[/C][C]8.04993271402413[/C][C]0.033575871849488[/C][/ROW]
[ROW][C]0.15[/C][C]8.0597767732952[/C][C]0.0329498443928405[/C][/ROW]
[ROW][C]0.16[/C][C]8.06914300333762[/C][C]0.0332289210254432[/C][/ROW]
[ROW][C]0.17[/C][C]8.07828034854031[/C][C]0.0341022945495271[/C][/ROW]
[ROW][C]0.18[/C][C]8.08734483054276[/C][C]0.0351953545337415[/C][/ROW]
[ROW][C]0.19[/C][C]8.09639604193158[/C][C]0.0361342292452007[/C][/ROW]
[ROW][C]0.2[/C][C]8.10540704696983[/C][C]0.0365982736309542[/C][/ROW]
[ROW][C]0.21[/C][C]8.11428568105791[/C][C]0.0363882418301287[/C][/ROW]
[ROW][C]0.22[/C][C]8.12290308528867[/C][C]0.0354500300641546[/C][/ROW]
[ROW][C]0.23[/C][C]8.13112405956267[/C][C]0.033850107673457[/C][/ROW]
[ROW][C]0.24[/C][C]8.13883398049155[/C][C]0.0317224593277132[/C][/ROW]
[ROW][C]0.25[/C][C]8.14595838989388[/C][C]0.0293093725005585[/C][/ROW]
[ROW][C]0.26[/C][C]8.15247331634839[/C][C]0.0268614283659139[/C][/ROW]
[ROW][C]0.27[/C][C]8.1584063408812[/C][C]0.0246244230379163[/C][/ROW]
[ROW][C]0.28[/C][C]8.16382994799572[/C][C]0.0228076417802192[/C][/ROW]
[ROW][C]0.29[/C][C]8.16884962521611[/C][C]0.0215327628005468[/C][/ROW]
[ROW][C]0.3[/C][C]8.17358946552578[/C][C]0.0209037436002827[/C][/ROW]
[ROW][C]0.31[/C][C]8.17817777670338[/C][C]0.0208830627311268[/C][/ROW]
[ROW][C]0.32[/C][C]8.1827345748602[/C][C]0.0213939707371291[/C][/ROW]
[ROW][C]0.33[/C][C]8.18736204667815[/C][C]0.0223209833868324[/C][/ROW]
[ROW][C]0.34[/C][C]8.19213831816217[/C][C]0.0235429900212729[/C][/ROW]
[ROW][C]0.35[/C][C]8.19711432958322[/C][C]0.0249069867684705[/C][/ROW]
[ROW][C]0.36[/C][C]8.20231335752383[/C][C]0.0262829251146391[/C][/ROW]
[ROW][C]0.37[/C][C]8.20773271271922[/C][C]0.0275471494652691[/C][/ROW]
[ROW][C]0.38[/C][C]8.21334726505897[/C][C]0.0285937258089041[/C][/ROW]
[ROW][C]0.39[/C][C]8.21911456616712[/C][C]0.0293733735012241[/C][/ROW]
[ROW][C]0.4[/C][C]8.22498134787839[/C][C]0.0298190889403431[/C][/ROW]
[ROW][C]0.41[/C][C]8.23089103604365[/C][C]0.0299405264828337[/C][/ROW]
[ROW][C]0.42[/C][C]8.23679167897825[/C][C]0.0297771353299972[/C][/ROW]
[ROW][C]0.43[/C][C]8.24264345149517[/C][C]0.0294207308709313[/C][/ROW]
[ROW][C]0.44[/C][C]8.2484247738476[/C][C]0.0289815088636183[/C][/ROW]
[ROW][C]0.45[/C][C]8.25413615902534[/C][C]0.0285986422519703[/C][/ROW]
[ROW][C]0.46[/C][C]8.25980118276907[/C][C]0.0284011571643756[/C][/ROW]
[ROW][C]0.47[/C][C]8.26546439740389[/C][C]0.0285101817150988[/C][/ROW]
[ROW][C]0.48[/C][C]8.27118647408324[/C][C]0.0289967343437931[/C][/ROW]
[ROW][C]0.49[/C][C]8.27703724269919[/C][C]0.029891624053199[/C][/ROW]
[ROW][C]0.5[/C][C]8.28308752455684[/C][C]0.0311686236593986[/C][/ROW]
[ROW][C]0.51[/C][C]8.28940070125843[/C][C]0.0327559861214678[/C][/ROW]
[ROW][C]0.52[/C][C]8.29602487596747[/C][C]0.0345366538663304[/C][/ROW]
[ROW][C]0.53[/C][C]8.30298633621074[/C][C]0.0363847451938669[/C][/ROW]
[ROW][C]0.54[/C][C]8.31028489011095[/C][C]0.038135997282002[/C][/ROW]
[ROW][C]0.55[/C][C]8.31789154771631[/C][C]0.0396637422279375[/C][/ROW]
[ROW][C]0.56[/C][C]8.32574892732568[/C][C]0.0407926405262669[/C][/ROW]
[ROW][C]0.57[/C][C]8.3337746157029[/C][C]0.0414203247820288[/C][/ROW]
[ROW][C]0.58[/C][C]8.34186743547429[/C][C]0.0414498434177918[/C][/ROW]
[ROW][C]0.59[/C][C]8.34991615731767[/C][C]0.0408435103515367[/C][/ROW]
[ROW][C]0.6[/C][C]8.35780970285467[/C][C]0.0396488557277993[/C][/ROW]
[ROW][C]0.61[/C][C]8.36544745387958[/C][C]0.037930055077674[/C][/ROW]
[ROW][C]0.62[/C][C]8.37274808059916[/C][C]0.035817053578106[/C][/ROW]
[ROW][C]0.63[/C][C]8.37965545230963[/C][C]0.0334749121235117[/C][/ROW]
[ROW][C]0.64[/C][C]8.38614072246195[/C][C]0.0310611541454574[/C][/ROW]
[ROW][C]0.65[/C][C]8.39220047951376[/C][C]0.0287045523545476[/C][/ROW]
[ROW][C]0.66[/C][C]8.39785170984743[/C][C]0.0265160505183575[/C][/ROW]
[ROW][C]0.67[/C][C]8.40312497444206[/C][C]0.0245483645958482[/C][/ROW]
[ROW][C]0.68[/C][C]8.40805745448943[/C][C]0.0228181902051771[/C][/ROW]
[ROW][C]0.69[/C][C]8.41268730170202[/C][C]0.0212740563827092[/C][/ROW]
[ROW][C]0.7[/C][C]8.41705012999799[/C][C]0.0199118865226959[/C][/ROW]
[ROW][C]0.71[/C][C]8.42117773462072[/C][C]0.0186874513460164[/C][/ROW]
[ROW][C]0.72[/C][C]8.42509850095602[/C][C]0.0175743695267168[/C][/ROW]
[ROW][C]0.73[/C][C]8.42883868873088[/C][C]0.0165844036697884[/C][/ROW]
[ROW][C]0.74[/C][C]8.4324239205497[/C][C]0.0157077504366949[/C][/ROW]
[ROW][C]0.75[/C][C]8.43588065763656[/C][C]0.0149566014084062[/C][/ROW]
[ROW][C]0.76[/C][C]8.43923795620874[/C][C]0.0143283353466436[/C][/ROW]
[ROW][C]0.77[/C][C]8.44253006219271[/C][C]0.013833180423823[/C][/ROW]
[ROW][C]0.78[/C][C]8.44580018936102[/C][C]0.0135018528022193[/C][/ROW]
[ROW][C]0.79[/C][C]8.44910508507147[/C][C]0.0133904758997184[/C][/ROW]
[ROW][C]0.8[/C][C]8.45251890696925[/C][C]0.0135612872352695[/C][/ROW]
[ROW][C]0.81[/C][C]8.45613393193353[/C][C]0.0141202548534605[/C][/ROW]
[ROW][C]0.82[/C][C]8.46005524790069[/C][C]0.0150938118502987[/C][/ROW]
[ROW][C]0.83[/C][C]8.46438733884159[/C][C]0.0164631765214913[/C][/ROW]
[ROW][C]0.84[/C][C]8.46921256300031[/C][C]0.0180896112760272[/C][/ROW]
[ROW][C]0.85[/C][C]8.47456464160464[/C][C]0.0197278346197187[/C][/ROW]
[ROW][C]0.86[/C][C]8.48040359021168[/C][C]0.0210587605978272[/C][/ROW]
[ROW][C]0.87[/C][C]8.48660091439008[/C][C]0.0217403919838636[/C][/ROW]
[ROW][C]0.88[/C][C]8.49294432150688[/C][C]0.021514260459525[/C][/ROW]
[ROW][C]0.89[/C][C]8.4991689901497[/C][C]0.0202632506179515[/C][/ROW]
[ROW][C]0.9[/C][C]8.50501724803556[/C][C]0.0180817094982697[/C][/ROW]
[ROW][C]0.91[/C][C]8.51032039621428[/C][C]0.015324584054012[/C][/ROW]
[ROW][C]0.92[/C][C]8.51508686642392[/C][C]0.0125746017939003[/C][/ROW]
[ROW][C]0.93[/C][C]8.51957554467228[/C][C]0.0105967225444114[/C][/ROW]
[ROW][C]0.94[/C][C]8.52434509465454[/C][C]0.0101915726571137[/C][/ROW]
[ROW][C]0.95[/C][C]8.53031662309887[/C][C]0.0117491473144708[/C][/ROW]
[ROW][C]0.96[/C][C]8.53894604249435[/C][C]0.0152969947138904[/C][/ROW]
[ROW][C]0.97[/C][C]8.55245462574789[/C][C]0.0214115308482483[/C][/ROW]
[ROW][C]0.98[/C][C]8.57314858050146[/C][C]0.0317679957407544[/C][/ROW]
[ROW][C]0.99[/C][C]8.59947225262166[/C][C]0.0466612404887702[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=130000&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=130000&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
0.017.835430374464550.0126304127566111
0.027.84591186446780.0207031330754354
0.037.86043413084770.0310356587891327
0.047.878256747612140.0407143636469928
0.057.898498109723110.0482528082557224
0.067.920032085211110.0528611546359322
0.077.941689077412030.054341556524589
0.087.962466025589360.0531187281502314
0.097.981655827578030.0500016198979436
0.17.9988893741580.045950031972311
0.118.01410387202510.0417580556468048
0.128.027466564003420.0380724352168591
0.138.039286031260870.0352815721474491
0.148.049932714024130.033575871849488
0.158.05977677329520.0329498443928405
0.168.069143003337620.0332289210254432
0.178.078280348540310.0341022945495271
0.188.087344830542760.0351953545337415
0.198.096396041931580.0361342292452007
0.28.105407046969830.0365982736309542
0.218.114285681057910.0363882418301287
0.228.122903085288670.0354500300641546
0.238.131124059562670.033850107673457
0.248.138833980491550.0317224593277132
0.258.145958389893880.0293093725005585
0.268.152473316348390.0268614283659139
0.278.15840634088120.0246244230379163
0.288.163829947995720.0228076417802192
0.298.168849625216110.0215327628005468
0.38.173589465525780.0209037436002827
0.318.178177776703380.0208830627311268
0.328.18273457486020.0213939707371291
0.338.187362046678150.0223209833868324
0.348.192138318162170.0235429900212729
0.358.197114329583220.0249069867684705
0.368.202313357523830.0262829251146391
0.378.207732712719220.0275471494652691
0.388.213347265058970.0285937258089041
0.398.219114566167120.0293733735012241
0.48.224981347878390.0298190889403431
0.418.230891036043650.0299405264828337
0.428.236791678978250.0297771353299972
0.438.242643451495170.0294207308709313
0.448.24842477384760.0289815088636183
0.458.254136159025340.0285986422519703
0.468.259801182769070.0284011571643756
0.478.265464397403890.0285101817150988
0.488.271186474083240.0289967343437931
0.498.277037242699190.029891624053199
0.58.283087524556840.0311686236593986
0.518.289400701258430.0327559861214678
0.528.296024875967470.0345366538663304
0.538.302986336210740.0363847451938669
0.548.310284890110950.038135997282002
0.558.317891547716310.0396637422279375
0.568.325748927325680.0407926405262669
0.578.33377461570290.0414203247820288
0.588.341867435474290.0414498434177918
0.598.349916157317670.0408435103515367
0.68.357809702854670.0396488557277993
0.618.365447453879580.037930055077674
0.628.372748080599160.035817053578106
0.638.379655452309630.0334749121235117
0.648.386140722461950.0310611541454574
0.658.392200479513760.0287045523545476
0.668.397851709847430.0265160505183575
0.678.403124974442060.0245483645958482
0.688.408057454489430.0228181902051771
0.698.412687301702020.0212740563827092
0.78.417050129997990.0199118865226959
0.718.421177734620720.0186874513460164
0.728.425098500956020.0175743695267168
0.738.428838688730880.0165844036697884
0.748.43242392054970.0157077504366949
0.758.435880657636560.0149566014084062
0.768.439237956208740.0143283353466436
0.778.442530062192710.013833180423823
0.788.445800189361020.0135018528022193
0.798.449105085071470.0133904758997184
0.88.452518906969250.0135612872352695
0.818.456133931933530.0141202548534605
0.828.460055247900690.0150938118502987
0.838.464387338841590.0164631765214913
0.848.469212563000310.0180896112760272
0.858.474564641604640.0197278346197187
0.868.480403590211680.0210587605978272
0.878.486600914390080.0217403919838636
0.888.492944321506880.021514260459525
0.898.49916899014970.0202632506179515
0.98.505017248035560.0180817094982697
0.918.510320396214280.015324584054012
0.928.515086866423920.0125746017939003
0.938.519575544672280.0105967225444114
0.948.524345094654540.0101915726571137
0.958.530316623098870.0117491473144708
0.968.538946042494350.0152969947138904
0.978.552454625747890.0214115308482483
0.988.573148580501460.0317679957407544
0.998.599472252621660.0466612404887702


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')